{ "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": [ "ItemList", "CreativeWork" ], "name": "Resource collection for https:\/\/repository.oceanbestpractices.org\/server9\/", "author": { "@type": "Person", "name": "Arno Lambert", "sameAs": [ "https:\/\/oceanexpert.org\/expert\/35711", "https:\/\/orcid.org\/0000-0002-1859-1588" ] }, "itemListOrder": "https:\/\/schema.org\/ItemListUnordered", "numberOfItems": 2215, "itemListElement": [ { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2098", "name": "Effects of age, size and condition of elephant seals (Mirounga leonina) on their intravenous anaesthesia with tiletamine and zolazepam.", "description": " - Southern elephant seals (Mirounga leonina) were caught as part of a long-term demographic study on Macquarie Island. Over 18 months, 1033 seals were caught by hand and anaesthetised intravenously with a 1:1 mixture of tiletamine and zolazepam. Assessments were made of the effects of variations in the body condition and age at capture of the seals on the characteristics of their anaesthesia, including induction time and weighted recovery time. The size and condition of the seals were assessed by morphometric and ultrasound measurements. Weighted recovery times decreased as the body condition and age of the seals increased, but there were no residual effects of sex. There were no fatalities, and no periods of apnoea longer than five minutes were recorded. In individual seals there was a significant increase in weighted recovery time with successive captures. - , - This document describes the procedure used to catch and sedate southern elephant seals, testing the physiology response to the anaesthesia. This process is necessary to fit them with CTD-SRDLs\/tracking tags. - , - Refereed - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - National - , - International - , - Species Traits: Physiology - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2098", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2098", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2098", "url": "https:\/\/hdl.handle.net\/11329\/2098" }, "author": [ { "@type": "Person", "name": "Field, Iain" }, { "@type": "Person", "name": "Bradshaw, C. J. A." }, { "@type": "Person", "name": "McMahon, Clive" }, { "@type": "Person", "name": "Harrington, J." }, { "@type": "Person", "name": "Burton, H. R." } ], "keywords": [ "Biological oceanography", "Birds, mammals and reptiles", "Tracking tags", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/99", "name": "Ice Chart Colour Code Standard, Version 1.0, 2014.", "description": " - ice charts - , - This document describes two separate colour codes for use on ice charts: the first one based on total concentration (CT) intended for use when the stage of development is relatively uniform but concentration is highly variable (e.g. arctic summer navigation) and the second one based on stage of development (SoD) intended for use when the concentration is relatively uniform (high) but the stage of development is variable (e.g. arctic winter navigation). Document is an integral part and extension of the WMO Sea Ice Nomenclature, Supplement No. 4 (WMO-No. 259) currently in force. - , - Previous edition 2004 - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/99", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/99", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/99", "url": "https:\/\/hdl.handle.net\/11329\/99" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Sea ice" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1617", "name": "Best practice guidelines for aquaculture and sustainable management in a Mediterranean coastal wetland: case study of Do\u00f1ana marshes (Andalucia, Spain).", "description": " - This guide is devoted to the interaction between aquaculture practices and the environment, particularly the conservation of threatened species and sensitive wetland habitats, and does not address other aspects of aquaculture activity such as the administrative and legal framework, economic aspects or the role of governance and private organizations on aquaculture planning. - , - Published - , - Current - , - 14.2 - , - N\/A - , - Mature - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1617", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1617", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1617", "url": "https:\/\/hdl.handle.net\/11329\/1617" }, "contributor": [ { "@type": "Organization", "name": "United Nations Environment Programme, Mediterranean Action Plan, Regional Activity Centre for Specially Protected Areas" } ], "keywords": [ "Fish farming", "Aquaculture", "Coastal management", "Wetlands", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/585", "name": "User\u2019s Guide to Vertical Control and Geodetic Leveling for CO-OPS Observing Systems.", "description": " - The National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) is responsible for the management of a national water level measurement program. The foundation of this program is the operation and maintenance of the National Water Level Observation Network (NWLON), a network of approximately 200 continuously operating data collection stations in the U.S. coastal oceans, the Great Lakes and connecting waterways, and in U.S. Trust Territories and Possessions. The data and information from this network represent one of the most unique and valuable geophysical data sets available. The network provides for the determination and maintenance of vertical reference datums used for surveying and mapping, dredging, coastal construction and restoration, water level regulation, marine boundary determinations, tide prediction, and determination of long-term water level variations (e.g. trends). The station platforms and telemetered data are used to support major U.S. Government programs such as the NWS Tsunami Warning System, the NWS storm surge monitoring programs, the U.S. Army Corps of Engineers (USACE) national dredging program, the USACE\/Canadian Great Lakes regulation program, and the NOAA Climate and Global Change Program. This guide provides references to several National Geodetic Survey (NGS) documents related to the standard methodologies and tools used to derive geodetic elevations using differential and trigonometric leveling. These references do not supersede the information in this document as this document is specifically written to determine and monitor water level sensor and bench mark network elevations for the determination of tidal datums and subsequently the sea level trend. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/585", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/585", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/585", "url": "https:\/\/hdl.handle.net\/11329\/585" }, "author": [ { "@type": "Person", "name": "Hailegeberel, Minilek" }, { "@type": "Person", "name": "Glassmire, Kirk" }, { "@type": "Person", "name": "Johnson, Artara" }, { "@type": "Person", "name": "Samant, Manoj" }, { "@type": "Person", "name": "Dusek, Gregory" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Water level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/868", "name": "Sea surface salinity quality control processes for potential use on data buoy observations. Version 1.3.", "description": " - This document will aim to provide processes and approaches to real-time and delayed mode quality control of Sea Surface Salinity data, for review by the DBCP community. This document aims to bring together the best practice and suggested approaches to quality controlling salinity data from various programmes and for several different types of observing platforms. Once the DBCP has ascertained which processes apply to drifting and moored buoys, the appropriate tests and procedures can be added to DBCP Technical documents which already exist. - , - Published - , - Refereed - , - Current - , - Sea surface salinity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/868", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/868", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/868", "url": "https:\/\/hdl.handle.net\/11329\/868" }, "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of Unesco" } ], "keywords": [ "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/766", "name": "Experimental design in ocean acidification research: problems and solutions.", "description": " - Ocean acidification has been identified as a risk to marine ecosystems, and substantial scientific effort has been expended on investigating its effects, mostly in laboratory manipulation experiments. However, performing these manipulations correctly can be logistically difficult, and correctly designing experiments is complex, in part because of the rigorous requirements for manipulating and monitoring seawater carbonate chemistry. To assess the use of appropriate experimental design in ocean acidification research, 465 studies published between 1993 and 2014 were surveyed, focusing on the methods used to replicate experimental units. The proportion of studies that had interdependent or non-randomly interspersed treatment replicates, or did not report sufficient methodological details was 95%. Furthermore, 21% of studies did not provide any details of experimental design, 17% of studies otherwise segregated all the replicates for one treatment in one space, 15% of studies replicated CO2 treatments in away that made replicates more interdependent within treatments than between treatments, and 13% of studies did not report if replicates of all treatments were randomly interspersed. As a consequence, the number of experimental units used per treatment in studies was low (mean \u00bc 2.0). In a comparable analysis, there was a significant decrease in the number of published studies that employed inappropriate chemical methods of manipulating seawater (i.e. acid\u2013 base only additions) from 21 to 3%, following the release of the \u201cGuide to best practices for ocean acidification research and data reporting\u201d in 2010; however, no such increase in the use of appropriate replication and experimental design was observed after 2010. We provide guidelines on how to design ocean acidification laboratory experiments that incorporate the rigorous requirements for monitoring and measuring carbonate chemistry with a level of replication that increases the chances of accurate detection of biological responses to ocean acidification. - , - Refereed - , - 14.3 - , - Inorganic carbon - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/766", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/766", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/766", "url": "https:\/\/hdl.handle.net\/11329\/766" }, "author": [ { "@type": "Person", "name": "Cornwall, Christopher E." }, { "@type": "Person", "name": "Hurd, Catriona L." } ], "keywords": [ "Pseudoreplication", "Manipulation experiments", "Ocean acidification", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1009", "name": "OGC Moving Features Access. Version 1.0.", "description": " - This document defines Moving Features Access, i.e., access methods to moving feature data for retrieving feature attributes, information on a relation between a trajectory object and one or more geometry objects, and information on a relation between two trajectory objects from a database storing trajectory data of moving features. Abstract methods of accessing moving features data are defined in ISO 19141:2008 (Geographic information - Schema for moving features) [ISO 19141:2008]. However, the methods are insufficient to access a database storing moving feature data from multiple sources. If implementations for access to moving features data using various programming languages or protocols (e.g., SQL, Java, and HTTP) are developed without any standards, these implementations might be inconsistent with each other, resulting in poor interoperability. Therefore, methods to access a database storing moving feature data are necessary to improve interoperability. Applications using moving feature data, typically representing vehicles or pedestrians, are rapidly increasing. Innovative applications are expected to require the overlay and integration of moving feature data from different sources to create greater social and business value. Moreover, systems relying on single-source moving feature data are now evolving into more integrated systems. Integration of moving feature data from different sources is a key to developing more innovative and advanced applications. Moving Features Access ensures better data exchange by handling and integrating moving feature data to broaden the market for geo-spatial information such as Geospatial Big Data Analysis. OGC 14-083r2 (OGC\u00ae Moving Features Encoding Part I: XML Core) [OGC 14-083r2] and OGC 14-084r2 (OGC\u00ae Moving Features Encoding Extension: Simple Comma Separated Values (CSV)) [OGC 14-084r2] are existing implementation standards. Moving Features Access uses these standards to encode moving features. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1009", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1009", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1009", "url": "https:\/\/hdl.handle.net\/11329\/1009" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/575", "name": "Test and Evaluation Report Limited Acceptance of the Design Analysis WaterLog\u00ae H-3611i Microwave Radar Water Level Sensor.", "description": " - The National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) is responsible for developing and maintaining the National Water Level Observation Network (NWLON). CO-OPS, like most operational, technical programs, analyzes state-of-the-art and emerging technologies to identify potential improvements in data quality and operating efficiency and to maintain core expertise for authorized missions. A critical challenge facing CO-OPS is to ensure that water level measuring technologies are capable of delivering data that meet prescribed accuracies, are reliable and resilient in harsh environments, offer improvements in deployment, operation and maintenance efficiencies, and are expected to have a reasonable life-of-industry support for parts manufacturing and service. The ocean observing community has recognized that microwave radar technology, which was previously developed for various range measurement applications, also offers many potential benefits for long-term water level monitoring. In response, the CO-OPS Ocean Systems Test and Evaluation Program (OSTEP) conducted a series of extensive laboratory and field tests on a set of four types of microwave radar sensors from four different manufacturers to determine their suitability for use at NWLON stations and other locations where CO-OPS requires long- and short-term water level measurements observing systems. Analysis of data collected by the selected four sensors over the last 2.5 years of testing points to the Design Analysis WaterLog\u00ae H-3611i radar sensor as the best suited for CO-OPS measurement applications at this time. Analysis included an assessment of the four sensors\u2019 water level measurement performance over a broad range of environmental variability. Sensor selection was based on quantitative criteria and a related scoring method specifically designed with CO-OPS\u2019 unique operations and applications in mind. All four sensors demonstrated similar measurement accuracy capabilities, and their scores were very close. However, specific aspects of each sensor influenced the choice of the WaterLog\u00ae sensor for this application. Testing of newer versions of the other three sensors, as well those from other manufacturers including Design Analysis, may continue, and they may still be considered for use in CO-OPS operational water level stations. Results presented in this report, however, focus only on measurements collected from WaterLog\u00ae radar sensors. Since NWLON sites span more than 200 different coastal locations that are affected by varying combinations of meteorological and oceanographic conditions, field tests of the new microwave radar water level sensor were designed to assess the impact of various environmental parameters on sensor performance. From June to November 2008, test microwave radar sensors were installed at three different NWLON stations with varying coastal environments: Duck, NC; Port Townsend, WA; and Fort Gratiot, MI. Based on analysis of the first year of data from these sites, test microwave radar sensors were installed in 2010 at two additional field test locations: the Bay Waveland, MS and Money Point, VA NWLON stations. Analyses of field results include comparisons between 6-minute (min) average water level measurements collected by the test microwave radar sensor and accepted operating reference NWLON sensors at each site (Aquatrak acoustic at Duck, Port Townsend, Money Point, and Bay Waveland, and BEI float\/shaft angle encoder system at Fort Gratiot). In most cases water level measurements from test and operational sensors are in good agreement; however, in some casesmeasurements show deviation closely correlated to changes in environmental conditions. Most notable is the impact of large surface gravity waves (with amplitudes of 1 meter and larger and periods of 10 seconds and longer) and strong long shore and cross shore currents that are most likely set up by wave radiation stress [1,2]. Results from the Duck, NC site, which is an open ocean environment in the most energetic wave regime of the entire East Coast, demonstrate the impacts of the most extreme wave events (significant wave height of approximately 3.5 meters) where monthly WaterLog\u00ae versus Aquatrak root mean squared differences (RMSDs) were as large as 7 centimeters (cm), and differences between individual 6-min water level sensors sometimes exceeded 10 cm. Understanding deviations between water levels measured by operational NWLON acoustic sensors and test microwave radar sensors in the presence of a dynamic, open ocean environment such as Duck remains a work in progress; however, observations from the Port Townsend, Money Point, and Fort Gratiot test sites indicate that microwave radar sensors meet accuracy requirements and produce results that generally agree with NWLON sensors. At all three sites, the monthly RMSDs between the Aquatrak and WaterLog\u00ae 6-min water level series are generally less than 1 cm, and differences in monthly means are within plus or minus 5 mm. Also, a set of CO-OPS standard water level analysis products generated from an 18-month WaterLog\u00ae data record from Port Townsend using the CO-OPS Excel-based Data Management System further confirms that the test sensor can generate accurate measurement results that compare well to those generated by existing NWLON sensors operating in environmental conditions similar to those at the test stations. All test microwave radar data that yielded excellent comparisons with reference NWLON sensors were collected in semi-enclosed, fetch limited, low surface wave coastal environments. Based on these results, OSTEP recommends limited acceptance of the WaterLog\u00ae radar as a water level sensor in similar coastal environments. Efforts to facilitate the transition of WaterLog\u00ae microwave radar sensors from test to operational status include development of water level quality control (QC) guidelines and a recommended pre-deployment laboratory test procedure specifically designed for this new measurement technology. Extensive analysis of several laboratory tests and 1.5 years of raw 1-Hz data from the Port Townsend field test site were used to optimally tailor previously implemented CO-OPS water level data QC guidelines to accommodate the performance characteristics of the new sensor type. Test results, including problems encountered and lessons learned, have been used to develop and document a standard, four-step microwave radar sensor pre-deployment laboratory test procedure and required data analysis procedures. These laboratory tests are specifically designed to significantly decrease the likelihood of problems during deployment. Although further testing and analysis are needed before a final microwave radar test and evaluation report is issued, most periods of field test data collected by OSTEP to date indicate that microwave radar sensors meet accuracy requirements. Consequently, this report supports operational use of the WaterLog\u00ae microwave radar sensor in semi-enclosed, fetch limited coastal regions with a small wave environment. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/575", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/575", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/575", "url": "https:\/\/hdl.handle.net\/11329\/575" }, "author": [ { "@type": "Person", "name": "Heitsenrether, R." }, { "@type": "Person", "name": "Davis, E." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Water level", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2494", "name": "ISO 22804:2023. Marine technology - General technical requirement of marine conductivity-temperature-depth (CTD) measuring instrument. Edition 1.", "description": " - This document specifies the technical requirements to ensure consistent reporting on the test method, inspection rules, marks, packaging, transportation and storage of conductivity-temperature-depth (CTD) profilers. This document is applicable to marine fixed-point and mobile observation, monitoring platform and the various types of shipborne CTD measuring instruments. NOTE A CTD directly measures conductivity, temperature, pressure of seawater. Depth is the conversion of pressure according to the Formula (C.1). - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2494", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2494", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2494", "url": "https:\/\/hdl.handle.net\/11329\/2494" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Conductivity", "Temperature", "Pressure", "CTD measuring instruments", "ISO Standard", "Water column temperature and salinity", "Other physical oceanographic measurements", "CTD", "Data acquisition", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1946", "name": "Meaningful engagement of Indigenous Peoples and Local Communities in marine activities. Part II Report: Findings for Policy Makers.", "description": " - Indigenous peoples and local communities living in coastal communities in the Arctic have always depended on the sea for food, transportation, cultural and spiritual identity and social well-being. Increasingly, the sea is being shared with additional human-driven activities. These include industrial projects, marine management, scientific research, shipping, emergency response and tourism. All of these undertakings may affect people in Indigenous and local communities. Involving residents in such activities and engaging meaningfully with them is an ongoing process that builds a foundation on which problems can be solved or managed.1, 2 The increase in humandriven activities in the Arctic provides more instances and opportunities for regular meaningful engagement to build a strong foundation. The term \u201cmeaningful engagement\u201d has no single definition. Nor does it have a one-size-fitsall approach for all activities. Meaningful engagement is understood to include a range of practices by government, industry and other actors seeking to operate in the Arctic. Different people and organizations may view meaningful engagement differently. An important first step in the process is to determine the purposes of the engagement in partnership with Indigenous peoples and local communities. Deciding how engagement will occur and which issues will be on the agenda is also key. Both sides\u2014those engaging and those being engaged\u2014should feel that engagement has been meaningful. Meaningful engagement may be shown by respecting culture and values, including Indigenous knowledge and local knowledge. Various factors are important to achieve meaningful engagement. These things include: \u2022 actors being engaged \u2022 culture being respected \u2022 consideration of a project\u2019s timelines and size, and how they could impact communities \u2022 consideration of the location of communities, and \u2022 consideration of the nature of a proposed activity. Sometimes, legislation, treaties, land claim agreements or other regulations oblige governments and\/or other entities to engage with Indigenous peoples and local communities. In these cases, meaningful engagement is a requirement that project, or activity proponents must fulfill. - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1946", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1946", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1946", "url": "https:\/\/hdl.handle.net\/11329\/1946" }, "contributor": [ { "@type": "Organization", "name": "Protection of the Arctic Marine Environment (PAME)" } ], "keywords": [ "Indigenous knowledge", "Indigenous people", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2429", "name": "100% Sustainable Ocean Management: an Introduction to Sustainable Ocean Plans.", "description": " - In its Transformations for a Sustainable Ocean Economy (Transformations) launched in December 2020, the High Level Panel for a Sustainable Ocean Economy (Ocean Panel) announced a shared vision for the sustainable development of the ocean\u2014where effective protection, sustainable production and equitable prosperity go hand in hand. As part of this shared vision, the Ocean Panel made a headline commitment to sustainably manage 100% of the ocean area under their national jurisdictions, guided by Sustainable Ocean Plans, by 2025. Moreover, the Ocean Panel urged all coastal and ocean states to join them in this commitment so that by 2030 all ocean areas under national jurisdiction are sustainably managed. A Sustainable Ocean Plan aims to guide public and private sector decision-makers on how to sustainably manage a nation\u2019s ocean area under national jurisdiction to advance long-term economic and social development\u2014by protecting the natural marine ecosystems that underpin that development. It lays the foundation for implementing the Ocean Panel\u2019s Transformations, providing a unifying \u2018umbrella\u2019 for national ocean-related governance. Developing and implementing Sustainable Ocean Plans can provide governments, citizens, businesses, coastal communities, Indigenous Peoples and other stakeholders with a range of economic, social and environmental benefits over time. For instance, effectively implemented plans can protect critical marine ecosystems, chart a course for economic and social development, provide regulatory and investment certainty and reduce the risk of conflict. There are numerous ways for a country to develop an effective Sustainable Ocean Plan. Because ocean areas are not uniform in the benefits they provide and in the challenges they face, there is no one-size-fits-all approach. Nonetheless, an effective plan should reflect nine attributes regarding process of development, content and ability to convert planning into impact.inclusive, integrative and iterative in its engagement of stakeholders and use of knowledge. In terms of content, it is place-based, ecosystem-based and knowledge-based. In terms of impact, it is endorsed, financed and capacitated to ensure implementation. Useful components of an effective Sustainable Ocean Plan include spatial plans, economic development strategies, environmental protection approaches, social considerations, ocean statistical accounts, enabling policies and finance. While the destination\u2014a sustainable ocean economy\u2014may be shared, the ports of departure and courses charted may differ across countries. Getting started right away, with a view to ongoing iteration and improvement, is more important than getting planning perfect the first time. To ensure ownership and commitment, national governments should integrate the development and implementation of Sustainable Ocean Plans into domestic budgetary processes to ensure domestic budget allocation in the long term. Supplementary funding for countries that need it can come from grants, loans, official development assistance, blended finance (e.g. planning grants integrated into economic development loans) and novel financing approaches. Monitoring progress on Sustainable Ocean Plan development and implementation is critical if planning is to lead to positive outcomes. This guide provides a simple checklist to help countries ensure their planning processes are not merely a continuation of \u2018business as usual\u2019 but rather an enhanced ambition commensurate with the Transformations. A number of countries around the world are developing components of Sustainable Ocean Plans. However, too few have embarked on the journey, and many existing planning processes miss important attributes or components. Thus, developing robust, effective Sustainable Ocean Plans is urgently needed. With less than a decade to go to deliver on the Sustainable Development Goals, there is no time to waste. - , - Published - , - Refereed - , - Current - , - 8.2 - , - 14.a - , - 14.5 - , - Mature - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2429", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2429", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2429", "url": "https:\/\/hdl.handle.net\/11329\/2429" }, "author": [ { "@type": "Person", "name": "Hanson, Craig" }, { "@type": "Person", "name": "Frost, Nicola" }, { "@type": "Person", "name": "Potouroglou, Maria" }, { "@type": "Person", "name": "Haugan, Peter M." }, { "@type": "Person", "name": "Schive, Per W." } ], "contributor": [ { "@type": "Organization", "name": "High Level Panel for a Sustainable Ocean Economy (Ocean Panel)" } ], "keywords": [ "Sustainable Ocean Plan", "Ocean Panel", "Blue Economy", "Marine conservation", "Sustainable Development Goals", "Cross-discipline", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2322", "name": "MEDITS-Handbook. Version n. 9, 2017.", "description": " - This document is the ninth version of the first manual elaborated in the frame of the MEDITS international project to harmonise the sampling of demersal resources in the Mediterranean Sea. It is the reference document for research institutes and teams contributing to the MEDITS surveys on the continental shelves and slopes in the Mediterranean. The manual describes the sampling gear characteristics (feature and handling), the design of the survey, the sampling methodology and the processing of samples. Finally, it gives the specifications of the data files for data storage and exchange. This manual includes amendments and improvements to the MEDITS protocol as agreed by the MEDITS Co-ordination Committee up to the 2017 annual meeting. Considering the need for progressing towards new objectives (e.g common data-base) and amendments to be considered in the future, updates to this manual will be carried out as necessary. The present version of the MEDITS Manual also includes the work performed in the Multidisciplinary Group on Gear Performance and Standardization of Gear Data Processing (MGGP) established at the MEDITS coordination meeting in Ljubljana (Slovenia, 6-8 March 2012). The MGGP ToRs related to the Technical specifications and quality check of the Medits gear were finalised during the MEDITS Coordination Meeting of 2013 (Heraklion, Greece, March 12-14, 2013). Thus, a new regularly check of the MEDITS gears (trawl, rigging, doors) and of the protocol-abiding has been plenary proposed and accepted. This protocol, updated in 2014 and further revised in 2015, to fix some technical details, is in the Annex XVI to the present handbook version 9 (2017). In addition, the common protocol for the voluntary collection of data on Marine Litters, in agreements with the requirements of the Marine Strategy Directive Framework (Directive 2008\/56\/EC), is reported in the Annex XVII. This protocol was agreed at the MEDITS Coordination Meeting of 2013 (Heraklion, Greece, March 12-14, 2013) and further improved in 2014 and 2015. To ease the MEDITS Handbook consultation, the present version 9 separates out the TM list from the MEDITS Handbook and makes the former available in an electronic format only at the web site: http:\/\/www.sibm.it\/MEDITS%202011\/principale%20project.htm. - , - European Commission - , - Published - , - Refereed - , - Current - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2322", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2322", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2322", "url": "https:\/\/hdl.handle.net\/11329\/2322" }, "contributor": [ { "@type": "Organization", "name": "MEDITS Project" } ], "keywords": [ "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1926", "name": "ISO\/TC 234 Fisheries and aquaculture: what is it about? [Presentation at the EATiP\/OBPS Best Practices in Aquaculture Workshop, 05 April 2022 (Online)].", "description": " - The key message conveyed to the audience was that standards are the next major step in the process of developing sustainable aquaculture. They are a way of putting best practices into use and are useful for industry stakeholders who need to document how best practices are being adopted into the aquaculture value chain. The ISO system is an efficient tool to implement transparency and a level playing field across the sector. The attendants were invited to look into how they can engage in the development of the ISO\/TC 234 standard for Fisheries and Aquaculture. - , - Published - , - Current - , - 14.a - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1926", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1926", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1926", "url": "https:\/\/hdl.handle.net\/11329\/1926" }, "author": [ { "@type": "Person", "name": "Gregussen, Otto" } ], "contributor": [ { "@type": "Organization", "name": "ISO Committee on Fisheries and Aquaculture" } ], "keywords": [ "Fisheries", "Aquaculture", "International Standards Organization (ISO)", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2310", "name": "Best practices for operating underwater gliders in Atlantic Canada.", "description": " - Ocean gliders are versatile tools for making ocean observations. This paper summarizes the experience, of nearly two decades, of glider observing activity in Atlantic Canada. It reviews key considerations for operating gliders based on the experience and the lessons learned. This paper has three main goals: 1. To provide new and emerging glider users with guidance and considerations for developing a glider program. 2. Review the literature on sensor development for gliders and the use of gliders. 3. To highlight different mission scenarios that include enough practical considerations to support operating gliders. The use of gliders is rapidly expanding, but the documentation and consolidation of best practices for their operational use in Atlantic Canada remains underdeveloped. This summary provides a guide that should be helpful both to new and experienced glider operators and potential users, to observe the oceanography of this region and addresses regional challenges. We believe documenting our experience will be also helpful to the global glider community. We summarize the most critical considerations of utilizing gliders. We review the issues specific to the platform use and concerns about how to optimize the use of key sensors to contribute to an oceanographic observing program. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2310", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2310", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2310", "url": "https:\/\/hdl.handle.net\/11329\/2310" }, "author": [ { "@type": "Person", "name": "von Oppeln-Bronikowski, Nicolai" }, { "@type": "Person", "name": "de Young, Brad" }, { "@type": "Person", "name": "Belzile, Melany" }, { "@type": "Person", "name": "Comeau, Adam" }, { "@type": "Person", "name": "Cyr, Frederic" }, { "@type": "Person", "name": "Davis, Richard" }, { "@type": "Person", "name": "Emery, Pamela" }, { "@type": "Person", "name": "Richards, Clark" }, { "@type": "Person", "name": "Hebert, David" }, { "@type": "Person", "name": "Van Der Meer, Jude" } ], "keywords": [ "Ocean gliders", "Cross-discipline", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1830", "name": "Consolidation of Wildlife Act S.Nu. 2003,c.26 In force July 9, 2005, except s.40,41,66(2),82,152(4): SI-001-2005 s.40,41,66(2),82,152(4) NIF: SI-001-2005 (Current to: February 13, 2020)", "description": " - This consolidation is not an official statement of the law. It is an office consolidation prepared for convenience only. The authoritative text of statutes can be ascertained from the Revised Statutes of the Northwest Territories, 1988 and the Annual Volumes of the Statutes of the Northwest Territories (for statutes passed before April 1, 1999) and the Statutes of Nunavut (for statutes passed on or after April 1, 1999). A copy of a statute of Nunavut can be obtained from the Territorial Printer at the address below. The Annual Volumes of the Statutes of Nunavut and this consolidation are also available online at www.nunavutlegislation.ca but are not official statements of the law. Any certified Bills not yet included in the Annual Volumes of the Statutes of Nunavut can be obtained through the Office of the Clerk of the Legislative Assembly. - , - Government of Greenland, Department of Justice - , - Published - , - Current - , - N\/A - , - National - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1830", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1830", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1830", "url": "https:\/\/hdl.handle.net\/11329\/1830" }, "contributor": [ { "@type": "Organization", "name": "Government of Greenland, Department of Justice" } ], "keywords": [ "Inuit", "Indigenous rights", "Wildlife management", "Nanavut", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1608", "name": "Quality control procedure for single beam hydrographic data, Version 1.", "description": " - An important driver for the Regional Coastal Monitoring Programmes is that all data collected and made freely available should be quality controlled in a thorough and consistent manner, to ensure that the data meets the specification, with the result that the data can be used subsequently with confidence for a wide variety of coastal engineering and management tasks. This document describes the stages used by the National Network of Regional Coastal Monitoring Programmes to quality control single beam hydrographic data. Quality control involves three types of checks: - the correct deliverables are provided; - the format and content of the deliverables are correct; - the quality of the survey data is met i.e. that it fulfils the requirements of the survey specification. The stages given herein are shown in a workflow which has been found by experience to be a practical and time-efficient route. Providing all the individual checks are carried out, they may be done in any order, using a suitable software programme, e.g. Hypack, ArcGIS. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1608", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1608", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1608", "url": "https:\/\/hdl.handle.net\/11329\/1608" }, "author": [ { "@type": "Person", "name": "Evans, Emma" }, { "@type": "Person", "name": "McVey, Stuart" } ], "contributor": [ { "@type": "Organization", "name": "Channel Coastal Observatory, National Oceangraphy Centre" } ], "keywords": [ "Hydrographic data", "Single beam hydrographic data", "Acoustics", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/305", "name": "Real-time Coastal Observing Systems for Marine Ecosystem Dynamics and Harmful Algal Blooms: theory, instrumentation and modelling.", "description": " - The proliferation of harmful phytoplankton in marine ecosystems can cause massive fish kills, contaminate seafood with toxins, impact local and regional economies and dramatically affect ecological balance. Real-time observations are essential for effective short-term operational forecasting, but observation and modelling systems are still being developed. This volume offers guidance for developing real-time and near real-time sensing systems for observing and predicting plankton dynamics, including harmful algal blooms, in coastal waters. It explains the underlying theory and discusses current trends in research and monitoring. Topics treated include: coastal ecosystems and dynamics of harmful algal blooms; theory and practical applications of in situ and remotely sensed optical detection of microalgal distributions and composition; theory and practical applications of in situ biological and chemical sensors for targeted species and toxin detection; integrated observing systems and platforms for detection; diagnostic and predictive modelling of ecosystems and harmful algal blooms, including data assimilation techniques; observational needs for the public and government; and future directions for research and operations. This anthology should inform the work of researchers and environmental monitors as well as teachers and trainers concerned with understanding the causes, predicting the occurrences and mitigating the effects of harmful algal blooms in marine ecosystems. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/305", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/305", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/305", "url": "https:\/\/hdl.handle.net\/11329\/305" }, "contributor": [ { "@type": "Organization", "name": "Unesco" } ], "keywords": [ "Harmful algal blooms", "HAB", "Coastal ecosystems", "Microalgae", "Sensors", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1490.3", "name": "National Reference Stations Biogeochemical Operations Manual. Version 5.", "description": " - This manual outlines best-practice techniques in biogeochemical and blue-water oceanography for ensuring the output of reliable, quality data to the end-user community. The aim is for sampling, analytical, and reporting standards to be at least equivalent to: the WOCE (World Ocean Circulation Experiment) and JGOFS (Joint Global Ocean Flux Study) studies. Procedures for sampling, analyses and data handling are outlined here for the Australian IMOS National Reference Station (NRS) project. Use of these procedures will ensure consistency in sampling and analysis, leading to high quality data gathering. Monthly collection of biogeochemical data from most NRS sites gathers information on seasonal, annual and long-term variability in Australian marine ecosystems. Moorings are deployed at the NRSs, with instrument arrays at 2 depths, some with a third surface meteorological surface buoy. These record a suite of time series data. The moored instruments are Sea-BirdTM instruments, measuring conductivity, temperature and pressure at two depths. Up until 2017 WetLabsTM Water Quality Meters (WQM\u2019s) were used which included sensors measuring dissolved oxygen, fluorescence and turbidity. Biogeochemical results are used to monitor and assess the performance of the moored WQM\u2019s as well as creating an independent suite of data obtained from a number of depths that cannot be sensor determined. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Microbe biomass and diversity - , - Oxygen - , - Nutrients - , - Subsurface salinity - , - Particulate matter - , - Inorganic carbon - , - Fish abundance and distribution - , - Subsurface temperature - , - Ocean colour - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1490.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1490.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1490.3", "url": "https:\/\/hdl.handle.net\/11329\/1490.3" }, "contributor": [ { "@type": "Organization", "name": "Integrated Marine ObservIng System (IMOS)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::discrete water samplers", "Instrument Type Vocabulary::plankton nets", "Sea-BirdTM", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1228", "name": "Rapid and noncontaminating sampling system for trace elements in global ocean surveys.", "description": " - A system for the rapid and noncontaminating sampling of trace elements with volumes of up to 36 L per depth and including the dissolved and particulate phases has been developed for ocean sections that are a crucial part of programs such as International GEOTRACES. The system uses commercially available components, including an aluminum Seabird Carousel with all titanium pressure housings for electronics and sensors to eliminate zinc sacrificial anodes and holding twenty\u2010four 12 L GO\u2010FLO bottles, and a 7500 m, 14 mm Vectran conducting cable (passing over an A\u2010frame with nonmetallic sheave) spooled onto a traction winch. The GO\u2010FLO bottles are stored and processed in a clean lab built into a 20' ISO container. To minimize contamination, the GO\u2010FLO bottles are triggered when the carousel is moving upward into clean water at 3 m min\u22121. Analyses of salinity and nutrients in bottle samples from the stopped versus moving carousel show no detectable smearing, whereas the contamination\u2010prone trace elements show the samples are uncontaminated when compared with other clean sampling methods. Based on the use of this system on three major cruises, the launch\u2010sample\u2010recover time for the carousel (2 bottles triggered per depth) is 1 h per 1000 m, and dissolved and particulate sampling time averages 6 h per hydrocast. Thus, the system described here meets all the requirements for ocean basin sampling for trace elements: rapid, good hydrographic fidelity, and noncontaminating. - , - Refereed - , - 14.A - , - Particulate matter - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1228", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1228", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1228", "url": "https:\/\/hdl.handle.net\/11329\/1228" }, "author": [ { "@type": "Person", "name": "Cutter, Gregory A." }, { "@type": "Person", "name": "Bruland, Kenneth W." } ], "keywords": [ "Sea Bird carousel", "GO FLO bottle", "Trace elements", "GEOTRACES", "Water sampler", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2373", "name": "Ocean Data Standards Volume 8: SeaDataNet Common Data Index (CDI) metadata model for Marine and Oceanographic Datasets (including SeaDataNet CDI metadata profile of ISO 19115, V12.2.0).", "description": " - Scope: Proposal to acknowledge SeaDataNet Common Data Index (CDI) metadata profile of ISO 19115 as a standard metadata model for the documentation of Marine and Oceanographic Datasets. In particular, the proposal aims to promote CDI as a regional (i.e. European) standard. The SeaDataNet infrastructure, its standards, services and products started to build since the mid-1990s under the EU MAST Programmes with the precursor EDMED, EURONODIM, MEDATLAS projects and continued with the EU-FP5 SeaSearch project (2002-2005). Under EU-FP6 Programme, the distributed SeaDataNet system was set up (2006-2011) and continued into its second phase under the EU-FP7 SeaDataNet II project (2011-2015). In the EU HORIZON 2020 SeaDataCloud project, the infrastructure is being upgraded and expanded making use of cloud services, High Performance Computing technology and taking into account the European Open Science Cloud (EOSC) challenge. SeaDataNet CDI has been drafted and published as a metadata community profile of ISO 19115 by SeaDataNet, the leading infrastructure in Europe for marine & ocean data management. Its wide implementation, both by data centres within SeaDataNet and by external organizations makes it also a de-facto standard in the Europe region. The acknowledgement of SeaDataNet CDI as a standard data model by IODE\/JCOMM will further favour interoperability and data management in the Marine and Oceanographic community. Envisaged publication type: The proposal target audience includes all the European bodies, programs, and projects that manage and exchange marine and oceanographic data. Besides, the proposed document informs all the international community dealing with marine and oceanographic data about the SeaDataNet CDI metadata model. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2373", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2373", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2373", "url": "https:\/\/hdl.handle.net\/11329\/2373" }, "author": [ { "@type": "Person", "name": "Schaap, D.M.A." }, { "@type": "Person", "name": "Boldrini, E." }, { "@type": "Person", "name": "Nativi, S." }, { "@type": "Person", "name": "Tosello, V." }, { "@type": "Person", "name": "Fichaut, M." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data model", "Cross-discipline", "Data exchange", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1030", "name": "Ocean Gliders delayed mode QA\/QC best practice manual Version 2.0. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-685]", "description": " - This document is the IMOS Ocean Gliders' Best Practice manual for delayed mode processed data. Ocean Gliders is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). This document describes the quality analyses\/quality control (QA\/QC) methods and correction procedures employed by the Ocean Gliders facility for delayed mode glider data files produced by the facility. - , - Published - , - Superseded - , - 14 - , - Sea surface salinity - , - Subsurface salinity - , - Subsurface temperature - , - Sea surface temperature - , - Particulate matter - , - Oxygen - , - Ocean colour - , - Subsurface Currents - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1030", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1030", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1030", "url": "https:\/\/hdl.handle.net\/11329\/1030" }, "author": [ { "@type": "Person", "name": "Woo, Mun" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::optical backscatter sensors", "Instrument Type Vocabulary::ocean colour radiometers", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/714", "name": "Biological effects of contaminants: Determination of CYP1A-dependent mono-oxygenase activity in dab by fluorimetric measurement of EROD activity.", "description": " - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/714", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/714", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/714", "url": "https:\/\/hdl.handle.net\/11329\/714" }, "author": [ { "@type": "Person", "name": "Stagg, R." }, { "@type": "Person", "name": "McIntosh, A." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/583", "name": "NOAA Guidance Document for Determination of Vertical Land Motion at Water Level Stations Using GPS Technology.", "description": " - This document provides general guidance for the determination of vertical land motion at longterm continuously operating water level stations, for the purpose of separating this signal from relative water level change as measured at the water level station and the subsequent determination of absolute water level change. While there are several ways to determine absolute vertical land motion (within the context of a global terrestrial reference frame) that affect a water level station, the most accurate methods or approaches all require the use of Global Navigation Satellite System (GNSS) technology in some fashion. GNSS is a constellation of satellites that are used to precisely determine the geographic location of a user's receiver anywhere in the world. The GNSS includes satellite systems such as GPS, GLONASS (Russian), Galileo (European), and others. Continuously operating long-term GPS systems that use GNSS technology are generically referred to as cGPS or CORS stations. This guidance is based on experiences and standard operating procedures of the NOAA NGSmanaged network of Continuously Operating Reference Stations (CORS) and NOAA CO-OPSmanaged National Water Level Observation Network (NWLON) and is targeted toward a general audience. This guidance could also apply to any group wanting to establish a long-term water level gauge and monitor the vertical land motion which affects it. Water level stations provide information on long-term sea level variations relative to the local land (specifically the motion of land upon which the water level station and local benchmarks rest). For many coastal applications, knowledge of relative sea level change is of primary importance to understand how the sea is changing relative to the land for coastal inundation and maritime charting and mapping purposes, among others. GPS measurements (either through a permanent, continuously operating long-term GPS reference station (cGPS), or through episodic GPS static re-surveys of the same point) provide information on long\u2013term variations in vertical and horizontal land movement. For applications pertaining to global sea level studies, it is necessary to ensure the two long-term measurements have a common vertical survey tie so they have a common reference. The rates of relative sealevel change can then be directly related to the vertical velocities of the local land. After careful adjustment of the sea level data for vertical land motion over time, an absolute rate of sea-level change (though still geographically dependent on the location of the water-level station) can be determined and the sea level data becomes more useful for understanding regional and global sea-level change and has been applied to various global sea level reconstructions (Ray and Douglas, 2011; Jevrajeva, 2014). - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface height - , - Mature - , - Best Practice - , - Guide - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/583", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/583", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/583", "url": "https:\/\/hdl.handle.net\/11329\/583" }, "author": [ { "@type": "Person", "name": "Gill, S." }, { "@type": "Person", "name": "Weston, N." }, { "@type": "Person", "name": "Smith, D." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, National Ocean Service" } ], "keywords": [ "Water level", "Vertical land motion", "Water level gauge", "Relative sea level change", "Coastal inundation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1006", "name": "OGC\u00ae 3D Portrayal Service 1.0. Version 1.0", "description": " - The 3D Portrayal Service Standard is a geospatial 3D content delivery implementation specification. It focuses on what is to be delivered in which manner to enable interoperable 3D portrayal. It does not define or endorse particular content transmission formats, but specifies how geospatial 3D content is described, selected, and delivered. It does not prescribe how aforementioned content is to be organized and represented, but provides a framework to determine whether 3D content is interoperable at the content representation level. More details are available in Design of this standard. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1006", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1006", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1006", "url": "https:\/\/hdl.handle.net\/11329\/1006" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/186", "name": "GF3: a General formatting system for geo-referenced data . Vol. 2. Technical description of the GF3 format and code tables.", "description": " - GF3 tapes, GF3 records, GF3 code table, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/186", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/186", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/186", "url": "https:\/\/hdl.handle.net\/11329\/186" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data collections", "Data processing", "Exchange capacity", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2547", "name": "ISO 17208-1:2016\/Amd 1:2024. Underwater acoustics \u2014 Quantities and procedures for description and measurement of underwater sound from ships \u2014 Part 1: Requirements for precision measurements in deep water used for comparison purposes Amendment 1. Edition 1.", "description": " - ISO 17208-1:2016\/Amd 1:2024 Underwater acoustics \u2014 Quantities and procedures for description and measurement of underwater sound from ships \u2014 Part 1: Requirements for precision measurements in deep water used for comparison purposes. Amendment 1. Main standard avaialble https:\/\/www.iso.org\/standard\/62408.html#:~:text=ISO%2017208%2D1%3A2016%20specifies,of%20noise%20on%20marine%20organisms. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2547", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2547", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2547", "url": "https:\/\/hdl.handle.net\/11329\/2547" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Ship noise", "Sound effects", "Underwater sound", "Underwater acoustics", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2300", "name": "Review of acoustical and optical techniques to measure absolute salinity of seawater.", "description": " - The salinity of seawater is of fundamental importance in climate studies, and the measurement of the variable requires high accuracy and precision in order to be able to resolve its typically small variations in the oceans with depth and over long-time scales. This is currently only possible through the measurement of conductivity, which has led to the definition of a Practical Salinity scale. However, seawater is also composed of a large number of non-conducting substances that constitute salinity anomalies. Differences of the ratios of the constituents of sea salt from the Reference Composition may also change salinity anomalies. The establishment of formulae for calculating the thermodynamic properties of seawater has led to the definition of the concept of Absolute Salinity (SA), which includes such anomalies and is similar in approach to the notion of density. Although the routine in situ measurement of SA is still a huge challenge, numerous developments based on acoustic techniques, but above all, refractometry, interferometry or complex fiber optic assemblies, have been tested for this purpose. The development of monolithic components has also been initiated. The measurement of the refractive index by these techniques has the advantage of taking into account all the dissolved substances in seawater. This paper reviews the difficulties encountered in establishing theoretical or empirical relations between SA and the sound velocity, the refractive index or the density, and discusses the latest and most promising developments in SA measurement with a particular focus on in situ applications. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2300", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2300", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2300", "url": "https:\/\/hdl.handle.net\/11329\/2300" }, "author": [ { "@type": "Person", "name": "Le Menn, Marc" }, { "@type": "Person", "name": "Na\u00efr, Rajesh" } ], "keywords": [ "Sound velocity", "Refractometer", "Interferometer", "Density", "Refractive index", "Water column temperature and salinity", "salinity sensor" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1441.2", "name": "Recommendation Report 2 on improved common procedures for HFR QC analysis. JERICO-NEXT WP5-Data Management, Deliverable 5.14, Version 2.0.", "description": " - The JERICO network is constantly working to improve its core functionality, which is the ability to provide comprehensive observations of Europe\u2019s coastal seas and oceans. This means integrating new, promising observing technologies that can expand its spatial and temporal reach. This effort must include a specific data management fully committed to inform end-users and stakeholders about the quality and reliability of the data routinely delivered. While building the JERICO-Next project, High Frequency Radar (HFR) systems were identified as particularly attractive technology to complete the JERICO network. HFR technology offers the means to gather information on surface currents and sea state over wide areas with relative ease in terms of technical effort, manpower and costs. HFR technology is rapidly expanding in Europe, as it is increasingly used to support decision-making by coastal ocean users and managers, and its current and wave data will be operationally distributed by the main data distribution services, i.e. Copernicus Marine In Situ Thematic Assembly Center (In Situ TAC), EMODnet Physics and SeaDataCloud (SDC). Moreover, in the next years it is expected that HFR surface current data will be systematically ingested in data assimilation processes necessary for predictive model adjustment. Thus, the unified implementation and coordination are needed for producing interoperable and high quality HFR data for scientific and societal applications. Task 5.6 of JERICO-Next project deals specifically with defining common formats and Quality Control (QC) procedures for HFR data. A common data and metadata model and QC test battery for Near Real Time (NRT) current data from HFR were defined and implemented to ensure efficient and automated data discovery and interoperability across distributed and heterogeneous earth science data systems. A first recommendation at European level to achieve the harmonization of HFR data management was published within JERICO-Next deliverable D5.13 and in the INCREASE deliverable D3.1 (http:\/\/www.cmems-increase.eu\/static\/INCREASE_Report_D3.1.pdf), defining data format, metadata structure, QC flagging scheme and QC tests. The data model and the basic set of QC tests defined in JERICO-Next D5.13 and recovered in Copernicus Marine In Situ TAC Service Evolution INCREASE project (deliverable D3.1) have been further analyzed and improved, also in synergy with the work performed in Task 3.2. The work has been performed within an extended group including scientists from the HF radar European community as well as from the US IOOS and the Australian ACORN networks. Additional QC tests with respect to the basic set have been defined and the data model has been refined accordingly, also aiming at the full integration of In Situ TAC and SDC requirements. This deliverable presents these improved recommendations that have been established taking into account: (1) the characteristics of HFR monitoring, Reference: JERICO-NEXT-W5-D5.14-V1.0 Page 5\/85 JERICO-NEXT considering that HFR surface current velocity data are somewhat unique in the oceanographic observation world since they are: i) two-dimensional ocean surface measurement; ii) derived from a fixed land-based remote sensor and iii) they are placed on a fixed grid; (2) the existing standards in non-EU networks (in particular in IOOS); (3) the existing standards in Europe for Marine Data Management (EuroGOOS DATAMEQ, EuroGOOS HFR Task Team, Copernicus Marine In Situ TAC, SeaDataNet\u2019s NODC network, EMODnet and its thematic portals, JCOMMOPS in-situ Observing Platforms). - , - European Commission Horizon 2020 - , - Published - , - Contributors: Emma Reyes , Annalisa Griffa , Jose Luis Asensio , Patrick Gorringe , C\u00e9line Quentin, Gisbert Breitbach, Jan Widera - , - Current - , - 14.a - , - Surface currents - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1441.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1441.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1441.2", "url": "https:\/\/hdl.handle.net\/11329\/1441.2" }, "author": [ { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Novellino, Antonio" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Mader, Julien" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "HF Radar", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/598", "name": "The National Tidal Datum Convention of 1980.", "description": " - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/598", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/598", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/598", "url": "https:\/\/hdl.handle.net\/11329\/598" }, "author": [ { "@type": "Person", "name": "Hicks, Steacy D." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, National Ocean Survey" } ], "keywords": [ "Tidal datum", "Chart datum", "Mean high water", "Mean low water", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/447", "name": "Standardised survey procedures for monitoring rocky and coral reef ecological communities.", "description": " - This manual describes the standard Reef Life Survey (RLS) methods for estimating densities of fishes, large macroinvertebrates, and sessile communities on rocky and coral reefs. These (and compatible) methods have been used in thousands of surveys all around the world and at some locations for more than 20 years. Visual census techniques such as these provide an effective , non - destructive way to monitor species at shallow - water sites because large amounts of data on a broad range of species can be collected within a short dive period, with little post - processing time required. The broad taxonomic range covered allows detection of human impacts affecting different levels of the food web, making these methods ideal for assessing and monitoring ecological consequences of point source impacts such as pollution, oil spills, ocean warming and coral bleaching events, as well as the effectiveness of management actions such as the declaration of Marine Protected Areas ( MPAs), for example. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.4 - , - Hard coral cover and composition - , - Fish abundance and distribution - , - Macroalgal canopy cover - , - Mature - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/447", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/447", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/447", "url": "https:\/\/hdl.handle.net\/11329\/447" }, "contributor": [ { "@type": "Organization", "name": "Reef Life Survey" } ], "keywords": [ "Survey methods", "Invertebrates", "Coral reefs", "Biodiversity", "Community ecology", "Conservation", "Species abundance", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Biological oceanography::Biota composition", "Instrument Type Vocabulary::Biological and biogeochemical models", "Instrument Type Vocabulary::manual biota samplers", "Instrument Type Vocabulary::observers", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2133", "name": "ASC Abalone Standard. Version 1.1.", "description": " - Linked to the ASC Vision, the Scope of the ASC Abalone Standard addresses the key negative environmental and social impacts associated with the Abalone aquaculture industry. An ASC-certified farm contributes in reducing or eliminating these negative impacts. The Scope of the Standard is translated into seven Principles that apply to every UoC: \u2013 Principle 1 - Obey the law and comply with all applicable legal requirements and regulations where farming operation is located. \u2013 Principle 2 - Avoid, remedy or mitigate significant adverse effects on habitats biodiversity, and ecological processes. \u2013 Principle 3 - Avoid adverse effects on the health and genetic diversity of wild populations. \u2013 Principle 4 - Manage disease and pests in an environmentally responsible manner. \u2013 Principle 5 - Use resources efficiently. \u2013 Principle 6 - Be a good neighbor and conscientious coastal citizen. \u2013 Principle 7 - Develop and operate farms in a socially and culturally responsible manner. The Criteria within the Principles apply to every UoC - , - Published - , - Refereed - , - Current - , - Invertebrate abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2133", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2133", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2133", "url": "https:\/\/hdl.handle.net\/11329\/2133" }, "contributor": [ { "@type": "Organization", "name": "Aquaculture Stewardship Council" } ], "keywords": [ "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1012", "name": "Next-generation biology: Sequencing and data analysis approaches fornon-model organisms.", "description": " - As sequencing technologies become more affordable, it is now realistic to propose studying the evolutionary history of virtually any organism on a genomic scale. However, when dealing with non-model organisms it is not always easy to choose the best approach given a specific biological question, a limited budget, and challenging sample material. Furthermore, although recent advances in technology offer unprecedented opportunities for research in non-model organisms, they also demand unprecedented awareness from the researcher regarding the assumptions and limitations of each method.In this review we present an overview of the current sequencing technologies and the methods used in typical high-throughput data analysis pipelines. Subsequently,we contextualize high-throughput DNA sequencing technologies within their applications in non-model organism biology. We include tips regarding managing unconventional sample material, comparative and population genetic approaches that do not require fully assembled genomes, and advice on how to deal with low depth sequencing data. - , - Refereed - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1012", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1012", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1012", "url": "https:\/\/hdl.handle.net\/11329\/1012" }, "author": [ { "@type": "Person", "name": "da Fonseca, Rute R." }, { "@type": "Person", "name": "Albrechtsen, Anders" }, { "@type": "Person", "name": "Espregueira Themudo, Gon\u00e7alo" }, { "@type": "Person", "name": "Ramos-Madrigal, Jazm\u00edn" }, { "@type": "Person", "name": "Sibbesen, Jonas Andreas" }, { "@type": "Person", "name": "Maretty, Lasse" }, { "@type": "Person", "name": "Zepeda-Mendoza, M. Lisandra" }, { "@type": "Person", "name": "Campos, Paula F." }, { "@type": "Person", "name": "Heller, Rasmus" }, { "@type": "Person", "name": "Pereira, Ricardo J." } ], "keywords": [ "RADseq", "RNAseq", "Targeted sequencing", "Genotype likelihoods", "Comparative genomics", "Population genomic", "Parameter Discipline::Biological oceanography::Other biological measurements", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/673", "name": "Recruitment studies: manual on precision and accuracy of tools.", "description": " - This manual is one of the results of the project Precision and Accuracy of Tools in Recruitment Studies (PARS), financed by the EU (FAIR-CT96\u20131371). The project PARS is concerned with improving the methodologies used in investigations and the monitoring of the early life stages of fish larvae, especially herring and sardine. These are important in both stock assessments and strategic research intended to improve predictive capability. The project deals with precision and accuracy issues in two categories of measurements, which together encompass most of the data that are routinely required from samples of early life stages of fish: \u2022 the growth and condition of individuals; \u2022 the origin of individuals. Quantitative evaluation of the growth rate and condition of larvae in relation to environmental conditions at the time of capture is an essential prerequisite for predictive assessment of survival potential. In particular, the identification of starving or sub-optimally growing larvae in the population is a powerful method for evaluating survival probability. Both biochemical and otolith microstructure methodologies offer the prospect of identifying individuals at risk. However, the understanding of the underlying physiology of somatic and otolith growth and development is not sufficiently advanced; therefore, it does not allow a high degree of accuracy. In particular, decoupling of otolith and somatic growth under some circumstances is recognized but not understood. Determining the origin of early life stages is important for a number of applications. Origin in this context refers to the time and location at which a specimen was hatched, and the history of an individual\u2019s growth rate and the environment between hatching and capture. A combination of otolith microstructure and chemical analyses provides the tools necessary for this study. The This manual is one of the results of the project Precision and Accuracy of Tools in Recruitment Studies (PARS), financed by the EU (FAIR-CT96\u20131371). The project PARS is concerned with improving the methodologies used in investigations and the monitoring of the early life stages of fish larvae, especially herring and sardine. These are important in both stock assessments and strategic research intended to improve predictive capability. The project deals with precision and accuracy issues in two categories of measurements, which together encompass most of the data that are routinely required from samples of early life stages of fish: \u2022 the growth and condition of individuals; \u2022 the origin of individuals. Quantitative evaluation of the growth rate and condition of larvae in relation to environmental conditions at the time of capture is an essential prerequisite for predictive assessment of survival potential. In particular, the identification of starving or sub-optimally growing larvae in the population is a powerful method for evaluating survival probability. Both biochemical and otolith microstructure methodologies offer the prospect of identifying individuals at risk. However, the understanding of the underlying physiology of somatic and otolith growth and development is not sufficiently advanced; therefore, it does not allow a high degree of accuracy. In particular, decoupling of otolith and somatic growth under some circumstances is recognized but not understood. Determining the origin of early life stages is important for a number of applications. Origin in this context refers to the time and location at which a specimen was hatched, and the history of an individual\u2019s growth rate and the environment between hatching and capture. A combination of otolith microstructure and chemical analyses provides the tools necessary for this study. The project evaluates the discriminatory power of these methods using controlled mesocosm and laboratory experiments and tests their precision by reference to field-caught material. This manual is an important step for standardizing techniques used in recruitment studies and will be beneficial to anyone working in the field of fish recruitment in order to increase the knowledge of fish stocks and their management. - , - Published - , - Refereed - , - Current - , - 14.A - , - Fish abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/673", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/673", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/673", "url": "https:\/\/hdl.handle.net\/11329\/673" }, "author": [ { "@type": "Person", "name": "Belchier, M." }, { "@type": "Person", "name": "Clemmesen, C." }, { "@type": "Person", "name": "Cortes, D." }, { "@type": "Person", "name": "Doan, T." }, { "@type": "Person", "name": "Folkvord, A." }, { "@type": "Person", "name": "Garcia, A." }, { "@type": "Person", "name": "Geffen, A." }, { "@type": "Person", "name": "H\u00f8ie, H." }, { "@type": "Person", "name": "Johannessen, A." }, { "@type": "Person", "name": "Moksness, E." }, { "@type": "Person", "name": "de Pontual, H." }, { "@type": "Person", "name": "Ramirez, T." }, { "@type": "Person", "name": "Schnack, D." }, { "@type": "Person", "name": "Sveinsbo, B." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fish larvae", "Otoliths", "Wavelength dispersive spectrometry,", "Solution-based inductively coupled plasma mass spectrometry", "Laser ablation inductively coupled plasma mass spectrometry", "Herring", "Sardine", "Growth", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/112", "name": "Guidelines for the Education and Training of Personnel in Meteorology and Operational Hydrology - Vol. 1 Meteorology", "description": " - meteorological data; guides - , - This guide provides an international framework for a common understanding of the basic qualifications required of individuals performing identified operational and related functions. It should also assist National Meteorological and Hydrological Services (NMHSs) in designing particular personnel categorization systems and training programmes applicable to their specific needs. - , - ftp:\/\/ftp.wmo.int\/Documents\/MediaPublic\/Publications\/WMO_258_Volume_I\/WMO_258_Volume_I_en.pdf - , - Publication OK - can be updated if necessary - , - Editors: : I. F. Dr\u00e3ghici, G. V. Necco, R. W. Riddaway, J. T. Snow, C. Billard, L. A. Ogallo - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/112", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/112", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/112", "url": "https:\/\/hdl.handle.net\/11329\/112" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "National Meteorological and Hydrological Services (NMHSs)" } ], "keywords": [ "Education and training" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1366", "name": "Predicting Sargassum blooms in the Caribbean Sea from MODIS observations.", "description": " - Recurrent and significant Sargassum beaching events in the Caribbean Sea (CS) have caused serious environmental and economic problems, calling for a long-term prediction capacity of Sargassum blooms. Here we present predictions based on a hindcast of 2000\u20132016 observations from Moderate Resolution Imaging Spectroradiometer (MODIS), which showed Sargassum abundance in the CS and the Central West Atlantic (CWA), as well as connectivity between the two regions with time lags. This information was used to derive bloom and nonbloom probability matrices for each 1\u00b0 square in the CS for the months of May\u2013August, predicted from bloom conditions in a hotspot region in the CWA in February. A suite of standard statistical measures were used to gauge the prediction accuracy, among which the user\u2019s accuracy and kappa statistics showed high fidelity of the probability maps in predicting both blooms and nonblooms in the eastern CS with several months of lead time, with overall accuracy often exceeding 80%. The bloom probability maps from this hindcast analysis will provide early warnings to better study Sargassum blooms and prepare for beaching events near the study region. This approach may also be extendable to many other regions around the world that face similar challenges and opportunities of macroalgal blooms and beaching events. - , - Blooms of Sargassum seaweed appear to have increased in the tropical Atlantic and Caribbean since 2011. These blooms provide important habitats for many marine animals (fish, turtles, shrimps, crabs, etc.) to maintain a healthy marine ecosystem, but large amounts of Sargassum deposition on the beaches have caused numerous problems to the local environment, tourism industry, and economy. There is currently little information on Sargassum distribution and bloom timing, not to mention a forecast system. In this work, based on satellite measurements and statistics, a forecast system has been developed for the Caribbean Sea. From this system, Sargassum blooms in May\u2013August in the Caribbean can be predicted by the end of February, with overall accuracy often exceeding 80% in the eastern Caribbean. The system thus provides at least several months of lead time for the local residents and management agencies to better prepare for potential beaching events. The approach has significant implications for many other regions experiencing macroalgal blooms of either Sargassum or Ulva prolifera. - , - 14.2 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1366", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1366", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1366", "url": "https:\/\/hdl.handle.net\/11329\/1366" }, "author": [ { "@type": "Person", "name": "Wang, Mengqiu" }, { "@type": "Person", "name": "Hu, Chuanmin" } ], "keywords": [ "Algal blooms", "Sargassum", "Management", "Moderate Resolution Imaging Spectroradiometer (MODIS)", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Instrument Type Vocabulary::radiometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1493", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: May 2015 to November 2016. Version 2.1. [SUPERSEDED BY http:\/\/hdl.handle.net\/11329\/1494]", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from May, 2015 to November, 2016). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1493", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1493", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1493", "url": "https:\/\/hdl.handle.net\/11329\/1493" }, "author": [ { "@type": "Person", "name": "Lovell, Jenny" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/689", "name": "Organic halogens: Determination in marine media of adsorbable, volatile, or extractable compound totals.", "description": " - The environmental impact of the release of halogenated organic compounds to the sea has become of increasing interest during recent decades. Most compounds in this group are xenobiotic of origin and, consequently, of potential environmental hazard. The characterization of domestic and industrial discharges with respect to their contribution of halo-organic compounds to the sea, as well as monitoring to determine the occurrence and levels of halo-organic compounds in the marine environment, have been major topics. This leaflet reviews frequently employed methods for the determination of organic halogens as group parameters in water samples. The methods are evaluated with respect to their applicability in waste water characterization and marine monitoring. Results from the analysis of organic halogens in samples of marine water, sediments, and biological organisms are sum- marized. It appears that determinations of extractable organic halogens (EOX) in marine samples are the methods of prime interest. The nature and concentrations of halogenated organic compounds in waste waters are largely dependent on the source of the waste water, and only general statements can be made on this Subject. The results of numerous investigations on the characterization of halo-organics in waste waters have been published, but the compilation of these data is beyond the scope of this leaflet. It can be stated, however, that half of the chemical substances considered 'priority pollutants' are halogenated organics (Keith and Teillard, 1979) and that halogenated organic compounds belong to the chemical substances (List 1) whose use in the European Economic Community should be minimized to the lowest possible level (Keune, 1976). Investigations of marine contamination have revealed a 'background' level in sea water of 0.1-10ng\/l for individual halogenated organic compounds, such as halogenated c1-Cl-aliphatics, chlorophenols (CPs), polychlorinated biphenyls (PCBs), DoTs, and chlorinated benzenes (Fogelquist, 1984; Folke et al., 1983; Giger, 1977; Lunde and Gether, 1976; 0resund Commission, 1984). In marine sediments and organisms, the baseline levels of chloro- phenols, PCBs, DOTs, and chlorinated benzenes are generally within the range 1-100ng\/g wet weight. Some species of marine organisms and some biological tissues particularly capable of bioaccumulation can show levels as high as 10~g\/g wet weight, even in the absence of an actual emission zone (Brevik et Ai., 1978; Folke et al., 1983; Granby, 1987; Greig and Sennefelder, 1987; Knutzen et Ai., 1984; Schults gt Ai., 1987; Tanabe and Tatsukawa, 1987; Young and Gosset, 1980). It is to be expected that many xenobiotics, which are not easily de- tected by the commonly applied analytical methods such as gas chromatography (GC) and high performance liquid chromatography (HPLC), will occur in the marine environment in addition to the types of compounds mentioned above. Furthermore, a contribution to the total load of halo-organics in the marine environment is anticipated from the degradation products of major halogenated organic contaminants, from minor contaminants, and from naturally occurring halogenated organics, such as algal metabolites. Consequently, there is a need for analytical methods capable of de- termining the total amount of organic halogens in sea water, marine sediments, and tissues of marine organisms. - , - Published - , - Refereed - , - Current - , - 14,1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/689", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/689", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/689", "url": "https:\/\/hdl.handle.net\/11329\/689" }, "author": [ { "@type": "Person", "name": "Gr\u00f8n, C." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2222", "name": "Best Practices for Comparing Ocean Turbulence Measurements across Spatiotemporal Scales.", "description": " - The turbulent energy dissipation rate in the ocean can be measured by using rapidly sampling microstructure shear probes, or by applying a finescale parameterization to coarser-resolution density and\/or shear profiles. The two techniques require measurements that are on different spatiotemporal scales and generate dissipation rate estimates that also differ in spatiotemporal scale. Since the distribution of the measured energy dissipation rate is closer to lognormal than normal and fluctuates with the strength of the turbulence, averaging the two approaches on equivalent spatiotemporal scales is critical for accurately comparing the two methods. Here, microstructure data from the 1997 Brazil Basin Tracer Release Experiment (BBTRE) is used to demonstrate that comparing averages of the dissipation rate on different spatiotemporal scales can generate spurious discrepancies of up to a factor of order 10 in regions of strong turbulence and smaller biases of up to a factor of 2 in the presence of weaker turbulence. - , - Refereed - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2222", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2222", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2222", "url": "https:\/\/hdl.handle.net\/11329\/2222" }, "author": [ { "@type": "Person", "name": "Whalen, Caitlin B." } ], "keywords": [ "Mixing", "In situ ocean observations", "Sampling", "Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/279", "name": "Manual on Codes. Volume II: Regional Codes and National Coding Practices. (2015: 2011 edition updated))", "description": " - Volume II contains, for the six WMO Regions and the Antarctic, the procedures for the use of international code forms as well as regional code forms and national coding practices, including national code forms. It constitutes Annex II to the WMO Technical Regulations. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/279", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/279", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/279", "url": "https:\/\/hdl.handle.net\/11329\/279" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Atmosphere", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/956", "name": "Sensors and Instrumentation Roadmap. AtlantOS \u2013 633211, deliverable 6.1.", "description": " - Report including a ten year roadmap for strategic development of sensor and instrument technology for Integrated Atlantic Ocean Observing Systems and therefore global ocean observation. The international community is determined to integrate and improve ocean observing - not least in the Atlantic through the AtlantOS project. A deliverable of AtlantOS is this freely available ten-year roadmap for sensors and instrumentation. The ambition for this roadmap is that it will constitute a tool from which the oceanographic community can learn of current and upcoming technology to better inform grant proposals, improve engagement with technology providers and help focus integrated effort on to the most important science questions. To provide the best impact of the roadmap invitations to contribute were widely circulated to academia, private companies, research institutions and existing multilateral projects operating within oceanography. These sources were asked to provide details of what sensors and instrumentation are available, as well as a forecast to the availability and capability of future systems. Other information such as product descriptions, flyers, datasheets or specification documents were also requested. If a release was subject to restrictions due to commercial conflicts contributors were still invited to consider supplying as much as possible. As a consequence the creation of the roadmap also constitutes a collection of more in-depth material for many of the sensors and instruments. In the first instance information provided for the roadmap will be made available through the NOC and AtlantOS websites and GEOSS wiki. Co-hosting with platforms such as the EuroGOOS Technology Plan (http:\/\/eurogoos.eu\/increasing-eurogoos-awareness\/working-groups\/technology-plan-working-group-tpwg\/) and the GEO blue planet outputs (http:\/\/www.oceansandsociety.org\/products\/brochures.html) are to be explored. - , - Published - , - Refereed - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/956", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/956", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/956", "url": "https:\/\/hdl.handle.net\/11329\/956" }, "author": [ { "@type": "Person", "name": "Pike, Amy" }, { "@type": "Person", "name": "Morris, Andrew" }, { "@type": "Person", "name": "Cardwell, Christopher" }, { "@type": "Person", "name": "Connelly, Douglas" }, { "@type": "Person", "name": "Mowlem, Matthew" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre" } ], "keywords": [ "Sensors", "Instruments", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1805", "name": "Toward a Global Public Repository of Community Protocols to Encourage Best Practices in Biomolecular Ocean Observing and Research", "description": " - Biomolecular ocean observing and research is a rapidly evolving field that uses omics approaches to describe biodiversity at its foundational level, giving insight into the structure and function of marine ecosystems over time and space. It is an especially effective approach for investigating the marine microbiome. To mature marine microbiome research and operations within a global ocean biomolecular observing network (OBON) for the UN Decade of Ocean Science for Sustainable Development and beyond, research groups will need a system to effectively share, discover, and compare \u201comic\u201d practices and protocols. While numerous informatic tools and standards exist, there is currently no global, publicly-supported platform specifically designed for sharing marine omics [or any omics] protocols across the entire value-chain from initiating a study to the publication and use of its results. Toward that goal, we propose the development of the Minimum Information for an Omic Protocol (MIOP), a community-developed guide of curated, standardized metadata tags and categories that will orient protocols in the value-chain for the facilitated, structured, and user-driven discovery of suitable protocol suites on the Ocean Best Practices System. Users can annotate their protocols with these tags, or use them as search criteria to find appropriate protocols. Implementing such a curated repository is an essential step toward establishing best practices. Sharing protocols and encouraging comparisons through this repository will be the first steps toward designing a decision tree to guide users to community endorsed best practices. - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1805", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1805", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1805", "url": "https:\/\/hdl.handle.net\/11329\/1805" }, "author": [ { "@type": "Person", "name": "Samuel, Robyn" }, { "@type": "Person", "name": "Meyer, Ra\u00efssa" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Davies, Neil" }, { "@type": "Person", "name": "Jeffery, Nicholas W." }, { "@type": "Person", "name": "Samuel, Robyn" }, { "@type": "Person", "name": "Pavloudi, Christina" }, { "@type": "Person", "name": "Pitz, Kathleen Johnson" }, { "@type": "Person", "name": "Sweetlove, Maxime" }, { "@type": "Person", "name": "Theroux, Susanna" }, { "@type": "Person", "name": "van de Kamp, Jodie" }, { "@type": "Person", "name": "Watts, Alison" } ], "keywords": [ "eDNA", "Omics", "Protocol management", "Biological oceanography", "Metadata management", "Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1397", "name": "Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing.", "description": " - Ocean metaproteomics is an emerging field enabling discoveries about marine microbial communities and their impact on global biogeochemical processes. Recent ocean metaproteomic studies have provided insight into microbial nutrient transport, colimitation of carbon fixation, the metabolism of microbial biofilms, and dynamics of carbon flux in marine ecosystems. Future methodological developments could provide new capabilities such as characterizing long-term ecosystem changes, biogeochemical reaction rates, and in situ stoichiometries. Yet challenges remain for ocean metaproteomics due to the great biological diversity that produces highly complex mass spectra, as well as the difficulty in obtaining and working with environmental samples. This review summarizes the progress and challenges facing ocean metaproteomic scientists and proposes best practices for data sharing of ocean metaproteomic data sets, including the data types and metadata needed to enable intercomparisons of protein distributions and annotations that could foster global ocean metaproteomic capabilities. - , - Refereed - , - 14.A - , - Microbe biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1397", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1397", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1397", "url": "https:\/\/hdl.handle.net\/11329\/1397" }, "author": [ { "@type": "Person", "name": "Saito, Mak A." }, { "@type": "Person", "name": "Bertrand, Erin M." }, { "@type": "Person", "name": "Duffy, Megan E." }, { "@type": "Person", "name": "Gaylord, David A." }, { "@type": "Person", "name": "Held, Noelle A." }, { "@type": "Person", "name": "Hervey IV, William Judson" }, { "@type": "Person", "name": "Hettich, Robert L." }, { "@type": "Person", "name": "Jagtap, Pratik D." }, { "@type": "Person", "name": "Janech, Michael G." }, { "@type": "Person", "name": "Kinkade, Danie B." }, { "@type": "Person", "name": "Leary, Dagmar H." }, { "@type": "Person", "name": "McIlvin, Matthew R." }, { "@type": "Person", "name": "Moore, Eli K." }, { "@type": "Person", "name": "Morris, Robert M." }, { "@type": "Person", "name": "Neely, Benjamin A." }, { "@type": "Person", "name": "Nunn, Brook L." }, { "@type": "Person", "name": "Saunders, Jaclyn K." }, { "@type": "Person", "name": "Shepherd, Adam I." }, { "@type": "Person", "name": "Symmonds, Nicholas I." }, { "@type": "Person", "name": "Walsh, David A." } ], "keywords": [ "Proteins", "Metaproteomics", "Data sharing", "Best practices", "Parameter Discipline::Biological oceanography::Other biological measurements", "Data Management Practices::Metadata management", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1073", "name": "OGC\u00ae Moving Features Encoding Part I: XML Core, Version 1.0.1.", "description": " - This OGC\u00ae Standard specifies standard encoding representations of movement of geographic features. The primary use case is information exchange. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1073", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1073", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1073", "url": "https:\/\/hdl.handle.net\/11329\/1073" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1422", "name": "Planning a Sustainable Future for Earth\u2019s Oceans.", "description": " - Ocean experts are engaged in a long-term effort to envision, develop, and implement best practices for meeting today\u2019s needs while preserving ocean resources for future generations. - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1422", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1422", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1422", "url": "https:\/\/hdl.handle.net\/11329\/1422" }, "author": [ { "@type": "Person", "name": "Van Stavel, Jordan" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Hermes, Juliet" }, { "@type": "Person", "name": "Pearlman, Jay" } ], "keywords": [ "Science Update", "OBPS", "Ocean Best Practices System", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Environment", "Parameter Discipline::Fisheries and aquaculture", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Marine geology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/765", "name": "Performance Verification Statement for the WETLabs ECO FLCD(RT)D-1929 Fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ hydrocarbon sensors. This verification included test applications for: (1) controlled laboratory tanks with additions of various organic, fluorescent compounds, (2) experimental wave tank with additions of two sources of crude oils with and without dispersants, (3) a moored deployment in Baltimore Harbor, and (4) hydrocast surveys in the Gulf of Mexico at a site near a submerged leaking oil barge. In this Verification Statement, we present the performance results of the WETLabs ECO FLCDRTD (CDOM) fluorometer. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. Response specificity of the ECO FLCDRTD fluorometer to a range of organic compounds was evaluated in a series of lab tests. The instrument output was based on a linear response photodetector behind the emission optical filters with response output provided in raw counts. Instrument response with respect to challenge compound concentration varied with respect to the inherent fluorescence properties of the challenge compound as well as sensor optics. As expected, the FLCDRTD exhibited concentration dependent linear responses to several of the challenge compounds with response sensitivity ranked as quinine sulfate >> carbazole > naphthalene disulfonic acid and was insensitive to basic blue. Instrument failure, after shipping between sites, precluded assessment of sensitivity to #2 Diesel Fuel challenges. Trials in the COOGER wave test tank at the Bedford Institute of Oceanography revealed linear responses from 0.3 to 12 ppm total added crude oil in the presence of chemical dispersant. For trials where no chemical dispersant was added, the instrument response decreased slightly as oil concentrations were increased above 1.5 ppm. A greater presence of oil was noted on all downward oriented surfaces of the instruments and deployment frame after non chemically-dispersed trials, so likely this response was due to oil accumulation on the optical surfaces. Daily initial baseline signals changed with ambient water quality conditions. Instrument responses to various challenge compounds converged when compared to standardized EEMs fluorescence intensity estimated to correspond to the instruments emission optics. Field deployments in Baltimore Harbor and northern Gulf of Mexico were equivocal as all field reference samples were close to or below the reporting (50 ppb) or limit of detection for total petroleum hydrocarbons (25 ppb) for the reference analytical method. However, for Baltimore Harbor the FLCDRTD output was substantially higher than the baseline response in deionized water (50-100 counts) and was correlated with environmental background fluorescence as determined by EEMs analysis. There was no clear instrument response to EEMs intensities in the Gulf of Mexico profiling test. It is unclear if the response may have been impacted by the use of a second party data logger for this profiling application. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. Operator error impacted one hydrocast profile and excessive instrument noise was encountered in the final laboratory trial of #2 Diesel Fuel which was conducted after all other field deployments. In general, results indicate that for all types of test applications including lab, moored and hydrocast surveys, the ambient fluorescence properties of the challenge solution need to be accounted for to make quantitative hydrocarbon estimates from these sensors. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Ocean Colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/765", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/765", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/765", "url": "https:\/\/hdl.handle.net\/11329\/765" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Purcell, H" }, { "@type": "Person", "name": "Loranger, S." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Maurer, T." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1312", "name": "Commission Decision of 1 September 2010 on criteria and methodological standards on good environmental status of marine waters (notified under document C(2010) 5956) (Text with EEA relevance) (2010\/477\/EU).", "description": " - Having regard to the Directive 2008\/56\/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy (Marine Strategy Framework Directive) ( 1 ), and in particular, Article 9(3) thereof, - , - Refereed - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1312", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1312", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1312", "url": "https:\/\/hdl.handle.net\/11329\/1312" }, "keywords": [ "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/443", "name": "Advancing Citizen Science for Coastal and Ocean Research.", "description": " - Citizen Science is an approach which involves members of the public in gathering scientific data and, in more advanced cases, also involves them in the analysis of such data and in the design of scientific research. Benefits of this approach include enhancing monitoring capabilities, empowering citizens and increasing Ocean Literacy, which can itself lead to the development of environmentally-friendly behaviours. There is a long history of citizen participation in science as a general concept. However, the process of studying and understanding the best ways to develop, implement, and evaluate Citizen Science is just beginning and it has recently been proposed that the study of the process and outcomes of Citizen Science merits acknowledgement as a distinct discipline in its own right. Considering the vastness of the ocean, the extensiveness of the world\u2019s coastlines, and the diversity of habitats, communities and species, a full scientific exploration and understanding of this realm requires intensive research and observation activities over time and space. Citizen Science is a potentially powerful tool for the generation of scientific knowledge to a level that would not be possible for the scientific community alone. Additionally, Citizen Science initiatives should be promoted because of their benefits in creating awareness of the challenges facing the world\u2019s ocean and increasing Ocean Literacy. Responding to this, the European Marine Board convened a Working Group on Citizen Science, whose main aim was to provide new ideas and directions to further the development of Marine Citizen Science, with particular consideration for the European context. This position paper introduces the concept and rationale of Citizen Science, in particular regarding its relationship to marine research. The paper then explores European experiences of Marine Citizen Science, presenting common factors of success for European initiatives as examples of good practice. The types of data amenable to Citizen Science are outlined, along with concerns and measures relating to ensuring the scientific quality of those data. The paper further explores the social aspects of participation in Marine Citizen Science, outlining the societal benefits in terms of impact and education. The current and potential future role of technology in Marine Citizen Science projects is also addressed including, the relationship between citizens and earth observations, and the relevance of progress in the area of unmanned observing systems. The paper finally presents proposals for the improved integration and management of Marine Citizen Science on a European scale. This leads to a detailed discussion on Marine Citizen Science informing Marine Policy, taking into account the requirements of the Aarhus Convention as well as the myriad of EU marine and environmental policies. The paper concludes with the presentation of eight Strategic Action Areas for Marine Citizen Science in Europe (see summary below with details in Chapter 4). These action areas, which are aimed not only at the marine research community, but also at scientists from multiple disciplines (including non-marine), higher education institutions, funding bodies and policy makers, should together enable coherent future Europe-wide application of Marine Citizen Science for the benefit of all. - , - Published - , - Contributing Authors: Julia A. Busch, Jane Delany, Christine Domegan, Karin Dubsky, G\u00e9raldine Fauville, Gabriel Gorsky, Karen von Juterzenka, Francesca Malfatti, G\u00e9rald Mannaerts, Patricia McHugh, Pascal Monestiez, Jan Seys, Jan Marcin Wes\u0142awski, Oliver Zielinsk. - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/443", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/443", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/443", "url": "https:\/\/hdl.handle.net\/11329\/443" }, "contributor": [ { "@type": "Organization", "name": "European Marine Board" } ], "keywords": [ "Citizen science", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/478", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume III: Radiometric Measurements and Data Analysis Protocols.", "description": " - Volume III: The chapters of this volume briefly review methods used in the field to make the in situ radiometric measurements for ocean color validation, together with methods of analyzing the data (Chapter 1), detailed measurement and data analysis protocols for in-water radiometric profiles (Chapter 2), above water measurements of remote sensing reflectance (Chapter III-3), determinations of exact normalized water-leaving radiance (Chapter 4), and atmospheric radiometric measurements to determine aerosol optical thickness and sky radiance distributions (Chapter 5). Chapter 1 is adapted from relevant portions of Chapter 9 in Revision 3. Chapter 2 of Volume III corresponds to Chapter 10 of Revision 3, and Chapters 3 through 5 to Revision 3 Chapters 12 through 14, respectively. Aside from reorganization, there are no changes in the protocols presented in this volume. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/478", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/478", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/478", "url": "https:\/\/hdl.handle.net\/11329\/478" }, "author": [ { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Morel, A." }, { "@type": "Person", "name": "Frouin, R." }, { "@type": "Person", "name": "Davis, C." }, { "@type": "Person", "name": "Arnone, R." }, { "@type": "Person", "name": "Carder, K." }, { "@type": "Person", "name": "Lee, Z. P." }, { "@type": "Person", "name": "Steward, R. G." }, { "@type": "Person", "name": "Hooker, S." }, { "@type": "Person", "name": "Mobley, C. D." }, { "@type": "Person", "name": "McLean, S." }, { "@type": "Person", "name": "Holben, B." }, { "@type": "Person", "name": "Miller, M." }, { "@type": "Person", "name": "Pietras, C." }, { "@type": "Person", "name": "Knobelspiesse, K. D." }, { "@type": "Person", "name": "Fargion, G. S." }, { "@type": "Person", "name": "Porter, J." }, { "@type": "Person", "name": "Voss, K." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center" } ], "keywords": [ "In-situ measurements", "Data analysis", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2301", "name": "POLDER best practice guide to implementing schema.org for data discovery.", "description": " - This document aims to utilize schema.org for the Polar data management community. The community has agreed on and plans on implementing uniform best practices for documenting data, observing assets, and other entities. Extensive work has been conducted under both the Earth Science Information Partnership Science-on-schema.org group and the Research Data Alliance to develop approaches and guidelines for interoperable metadata practices. While the current Science-on-schema.org guidelines provide a strong technical basis for harmonised use of the schema.org vocabulary, they do not make specific requirements for minimal acceptable metadata nor for specific types of metadata requirements for key polar research use cases. This document assembles data discovery use cases and requirements for polar data discovery that represent a target set of features for the POLDER federated search system. Use cases specifically elucidate and prioritise the functional uses of the federated data discovery platform, which will in turn be used to articulate a specific list of metadata requirements needed to implement a discovery system that provides those features. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Specification of criteria - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2301", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2301", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2301", "url": "https:\/\/hdl.handle.net\/11329\/2301" }, "author": [ { "@type": "Person", "name": "Bricher, Pip" }, { "@type": "Person", "name": "Verhey, Chantelle" }, { "@type": "Person", "name": "Duerr, Ruth" }, { "@type": "Person", "name": "Ingram, Rebekah" }, { "@type": "Person", "name": "Pulsifer, Peter" }, { "@type": "Person", "name": "Collins, Julia" }, { "@type": "Person", "name": "Jones, Matthew" }, { "@type": "Person", "name": "de Bruin, Taco" }, { "@type": "Person", "name": "Manley, William" }, { "@type": "Person", "name": "Christoffersen, Shannon" }, { "@type": "Person", "name": "Budden, Amber" }, { "@type": "Person", "name": "Van de Putte, Anton" }, { "@type": "Person", "name": "Gaylord, Allison" }, { "@type": "Person", "name": "Tacoma, Marten" }, { "@type": "Person", "name": "Fremand, Alice" }, { "@type": "Person", "name": "Aulicino, Giuseppe" }, { "@type": "Person", "name": "Gao, Alex" }, { "@type": "Person", "name": "Minch, Melinda" }, { "@type": "Person", "name": "Tronstad, Stein" }, { "@type": "Person", "name": "Hayes, Amos" }, { "@type": "Person", "name": "God\u00f8y, \u00d8ystein" }, { "@type": "Person", "name": "Schneider, Olaf" } ], "contributor": [ { "@type": "Organization", "name": "Zenodo" } ], "keywords": [ "Semantics", "Best practices", "Schema.org", "Metadata discovery", "Harvesting", "Data repository", "Southern Ocean Observing System (SOOS)", "Arctic Data Committee", "Cross-discipline", "Controlled vocabulary development", "Data aggregation", "Data interoperability development", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1364", "name": "Near-Automatic Routine Field Calibration\/Correction of Glider Salinity Data Using Whitespace Maximization Image Analysis of Theta\/S Data.", "description": " - Glider vehicles are now perhaps some of the most prolific providers of real-time and near-real-time operational oceanographic data. However, the data from these vehicles can and should be considered to have a long-term legacy value capable of playing a critical role in understanding and separating inter-annual, inter-decadal, and longterm global change. To achieve this, we have to go further than simply assuming the manufacturer\u2019s calibrations, and field correct glider data in a more traditional way, for example, by careful comparison to water bottle calibrated lowered CTD datasets and\/or \u201cgold\u201d standard recent climatologies. In this manuscript, we bring into the 21st century a historical technique that has been used manually by oceanographers for many years\/decades for field correction\/inter-calibration, thermal lag correction, and adjustment for biological fouling. The technique has now been made semi-automatic for machine processing of oceanographic glider data, although its future and indeed its origins have far wider scope. The subject of this manuscript is drawn from the original Description of Work (DoW) for a key task in the recently completed JERICO-NEXT (Joint European Research Infrastructure network for Coastal Observatories) EU-funded program, but goes on to consider future application and the suitability for integration with machine learning. - , - Refereed - , - 14.A - , - Sea surface salinity - , - Subsurface salinity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - , - 2019-12-03 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1364", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1364", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1364", "url": "https:\/\/hdl.handle.net\/11329\/1364" }, "author": [ { "@type": "Person", "name": "Allen, John T." }, { "@type": "Person", "name": "Munoz, Cristian" }, { "@type": "Person", "name": "Gardiner, Jim" }, { "@type": "Person", "name": "Reeve, Krissy A." }, { "@type": "Person", "name": "Alou-Font, Eva" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos" } ], "keywords": [ "Gliders", "Image analysis", "Field correction", "Semi automatic machine processing", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Gliders", "Data Management Practices::Data processing", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1438", "name": "Validation and Intercomparison of Ocean Color Algorithms for Estimating Particulate Organic Carbon in the Oceans.", "description": " - Particulate Organic Carbon (POC) plays a vital role in the ocean carbon cycle. Though relatively small compared with other carbon pools, the POC pool is responsible for large fluxes and is linked to many important ocean biogeochemical processes. The satellite ocean-color signal is influenced by particle composition, size, and concentration and provides a way to observe variability in the POC pool at a range of temporal and spatial scales. To provide accurate estimates of POC concentration from satellite ocean color data requires algorithms that are well validated, with uncertainties characterized. Here, a number of algorithms to derive POC using different optical variables are applied to merged satellite ocean color data provided by the Ocean Color Climate Change Initiative (OC-CCI) and validated against the largest database of in situ POC measurements currently available. The results of this validation exercise indicate satisfactory levels of performance from several algorithms (highest performance was observed from the algorithms of Loisel et al., 2002; Stramski et al., 2008) and uncertainties that are within the requirements of the user community. Estimates of the standing stock of the POC can be made by applying these algorithms, and yield an estimated mixed-layer integrated global stock of POC between 0.77 and 1.3 Pg C of carbon. Performance of the algorithms vary regionally, suggesting that blending of region-specific algorithms may provide the best way forward for generating global POC products. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - Particulate matter - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1438", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1438", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1438", "url": "https:\/\/hdl.handle.net\/11329\/1438" }, "author": [ { "@type": "Person", "name": "Evers-King, Hayley" }, { "@type": "Person", "name": "Martinez-Vicente, Victor" }, { "@type": "Person", "name": "Brewin, Robert J. W." }, { "@type": "Person", "name": "Dall\u2019Olmo, Giorgio" }, { "@type": "Person", "name": "Hickman, Anna E." }, { "@type": "Person", "name": "Jackson, Thomas" }, { "@type": "Person", "name": "Kostadinov, Tihomir S." }, { "@type": "Person", "name": "Krasemann, Hajo" }, { "@type": "Person", "name": "Loisel, Hubert" }, { "@type": "Person", "name": "R\u00f6ttgers, R\u00fcdiger" }, { "@type": "Person", "name": "Roy, Shovonlal" }, { "@type": "Person", "name": "Stramski, Dariusz" }, { "@type": "Person", "name": "Thomalla, Sandy" }, { "@type": "Person", "name": "Platt, Trevor" }, { "@type": "Person", "name": "Sathyendranath, Shubha" } ], "keywords": [ "Satellite ocean colour", "Particulate organic carbon", "Algorithms", "Bio-optical algorithms", "Essential climate variables (ECV)", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/679", "name": "Guidelines for passive sampling of hydrophobic contaminants in water using silicone rubber samplers.", "description": " - This ICES Techniques in Marine Environmental Sciences provides advice on the use of silicone rubber passive samplers for the determination of freely dissolved non\u2010polar contaminants in seawater. The level of detail offered may be helpful to first\u2010time users of passive samplers, who wish to implement passive sampling methods in their monitoring programmes, and to more experienced users to review their current methods. The aspects covered by these guidelines include pre\u2010extraction, spiking with performance reference compounds, deployment, retrieval, extraction, clean\u2010up, chemical analysis, and calculation of aqueous concentrations. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/679", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/679", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/679", "url": "https:\/\/hdl.handle.net\/11329\/679" }, "author": [ { "@type": "Person", "name": "Smedes, Foppe" }, { "@type": "Person", "name": "Booij, Kees" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/635", "name": "Interpretation of complexometric titration data: an intercomparison of methods for estimating models of trace metal complexation by natural organic ligands.", "description": " - With the common goal of more accurately and consistently quantifying ambient concentrationsof free metal ions and natural organic ligands in aquatic ecosystems, researchers from 15 laboratories that routinely analyze trace metal speciation participated in an intercomparison of statistical methods used to model their most common type of experimental dataset, the complexometric titration. All were asked to apply statistical techniques that they were familiar with to model synthetic titration data that are typical of those obtained by applying state- of-the-art electrochemical methods\u2013anodic stripping voltammetry (ASV) and competitive ligand equilibration-adsorptive cathodic stripping voltammetry (CLE-ACSV)\u2013to the analysis of natural waters. Herein, we compare their estimates for parameters describing the natural ligands, examine the accuracy of inferred am- bient free metal ion concentrations ([Mf]), and evaluate the influence of the various methods and assumptions used on these results. The ASV-type titrations were designed to test each participant's ability to correctly describe the natural ligands present in a sample when provided with data free of measurement error, i.e., random noise. For the three virtual samples containing just one natural ligand, all participants were able to correctly identify the number of ligand classes present and accurately estimate their parameters. For the four samples containing two or three ligand classes, a few participants detected too few or too many classes and consequently reported inaccurate 'measure- ments\u2019 of ambient [Mf]. Since the problematic results arose from human error rather than any specific method of analyzing the data, we recommend that analysts should make a practice of using one's parameter estimates to generate simulated (back-calculated) titration curves for comparison to the original data. The root\u2013mean\u2013squared relative error between the fitted observations and the simulated curves should be comparable to the expected precision of the analytical method and upon visual inspection the distribution of residuals should not be skewed. - , - Refereed - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/635", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/635", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/635", "url": "https:\/\/hdl.handle.net\/11329\/635" }, "author": [ { "@type": "Person", "name": "Pi\u017eeta, I." }, { "@type": "Person", "name": "Sander, S.G." }, { "@type": "Person", "name": "Hudson, R.J.M." }, { "@type": "Person", "name": "Omanovi\u0107, D." }, { "@type": "Person", "name": "Baars, O." }, { "@type": "Person", "name": "Barbeau, K.A" }, { "@type": "Person", "name": "Buck, K.N." }, { "@type": "Person", "name": "Bundy, R.M." }, { "@type": "Person", "name": "Carrascog, G." }, { "@type": "Person", "name": "Croot, P.L." }, { "@type": "Person", "name": "Garnier, C." }, { "@type": "Person", "name": "Gerringa, L.J.A." }, { "@type": "Person", "name": "Gledhill, M." }, { "@type": "Person", "name": "Hirose, K." }, { "@type": "Person", "name": "Kondo, Y." }, { "@type": "Person", "name": "Laglera, L.M" }, { "@type": "Person", "name": "Nuester, J." }, { "@type": "Person", "name": "Rijkenberg, M.J.A." }, { "@type": "Person", "name": "Takeda, S." }, { "@type": "Person", "name": "Twining, B.S." }, { "@type": "Person", "name": "Wells, M." } ], "keywords": [ "Complexation", "Equilibrium constant", "Metal ions", "Organic ligands", "Speciation", "Titration", "Voltammetry", "Parameter Discipline::Chemical oceanography::Metal and metalloid concentrations", "Multi-window titration", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/706", "name": "Oyster embryo-larval bioassay (revised).", "description": " - The description of the oyster (Crassostrea gigas) embryo bioassay was initially published in the ICES TIMES series in 1991 (No.11). At the time, the bioassay was used in the United Kingdom for measuring water quality in relation to coastal waters which received anthropogenic discharges. Subsequently it was applied to measure general water quality and was taken up by the OSPAR Joint Assessment Monitoring Plan (JAMP) as a technique for measuring general biological effects in water, sediment elutriates, and pore water, and is used in several countries across the OSPAR Maritime Area. The organism response used in the bioassay is the ability of early stage embryos to develop normally and reach the \u201cD-shaped\u201d larval stage (at which the paired hinged shells can be seen) within 24 hours. Although the exposure time is short, it encompasses a period of intense cellular activity during which the impairment of a number of critical physiological and biochemical processes may result in poor and abnormal growth and development. The method described here is a complete revision of the original text, and includes a more comprehensive description of the methodology, how it can be applied for testing water quality for monitoring purposes, and for direct toxicity assessment or where a dilution series may need testing (e.g. extracts from passive samplers \/ sediment elutriates etc). Furthermore, there is additional information on the treatment and work up of results and analytical quality control. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/706", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/706", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/706", "url": "https:\/\/hdl.handle.net\/11329\/706" }, "author": [ { "@type": "Person", "name": "Leverett, Dean" }, { "@type": "Person", "name": "Thain, John" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2328", "name": "Advancing real-time pH sensing capabilities to monitor coastal acidification as measured in a productive and dynamic estuary (R\u0131a\u0301 de Arousa, NW Spain).", "description": " - Ocean acidification has critical impacts on marine ecosystems, but presents knowledge gaps on the ecological impacts requiring large-scale monitoring of physicochemical conditions to predict biological responses to ocean pH projections. The threat is especially significant in coastal regions like upwelling areas which are more sensitive and appear to respond more rapidly to anthropogenic perturbations. These ecosystems, such as the northwest coast of the Iberian Peninsula are characterized by complex physical and biogeochemical interactions, supporting enormous biological productivity and productive fisheries. The distribution of pH in upwelling systems has high variability on short temporal and spatial scales preventing a complete picture of acidification, which exhibit long-term pH rates markedly different from the measured in open waters. This motivation to significantly expand the coverage of pH monitoring in coastal areas has driven us to develop an autonomous pH monitoring instrument (from now on SURCOM) based on the Honeywell Durafet\u00ae pH electrode. A relevant feature is that SURCOM transmits near real-time pH and temperature measurements every 10.5 min through SIGFOX\u00ae, a low-power, low-bandwidth network for data transmission. This very careful design allows us to achieve a very low power consumption for the complete system resulting in 3 years of full autonomy with no other need than external cleaning and calibration. In this paper we describe the setup and the data set obtained by a SURCOM instrument over 240 days in a highly productive and dynamic coastal ecosystem, the R\u0131a\u0301 de Arousa embayment, providing valuable information on the performance of these low-cost and highly stable sensors, with potential for improving the pH variability description in nearshore systems and for reinforcing the monitoring-modeling of coastal acidification. - , - Refereed - , - 14.a - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Organisational - , - Durafet - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2328", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2328", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2328", "url": "https:\/\/hdl.handle.net\/11329\/2328" }, "author": [ { "@type": "Person", "name": "Velo, Anton" }, { "@type": "Person", "name": "Antonio Padin, Xose" } ], "keywords": [ "Ocean acidification", "Upwelling", "Coastal waters", "Aquaculture", "Internet of Things (IoT)", "SIGFOX", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1448", "name": "The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting.", "description": " - Quantifying uncertainties in ocean current forecasts is an important component of formulating a response to an oil spill, e.g. to compute the anticipated oil trajectories. Polynomial Chaos (PC) methods have recently been used to quantify uncertainties in the circulation forecast of the Gulf of Mexico caused by uncertain initial conditions and wind forcing data. The input uncertainties consisted of the amplitudes of perturbation modes whose space-time structure was obtained from Empirical Orthogonal Functions (EOF) decompositions. These e orts were the rst to rely on a PC approach to e ciently quantify uncertainties in an ocean model, and as such have raised a number of issues that we wish to address, namely the realism of the perturbations, the e ective choices in choosing the uncertain variables, the information trade-o s of the di erent uncertain input choices, and the ability to reduce these uncertainties if observational data is available. We explore whether these EOF-based perturbations lead to realistic representation of the uncertainties in the circulation forecast of the Gulf of Mexico. We also use information theoretic metrics to quantify the information gain and the computational trade-o s between di erent wind forcing and initial condition EOF modes. Surface and subsurface model data comparisons show that the observational data falls within the envelope of the ensemble simulations and that the EOF decompositions deliver \\realistic\" perturbations in the Loop Current region. The result of the computational trade-o s indicate that two initial condition EOF modes are enough to represent the uncertainties in the Loop Current region; while wind forcing EOF modes are necessary in order to capture uncertainties in the coastal zone. This result is consistent with the global sensitivity analysis. The ensemble statistics are then explored using the PC approach and the newly developed contour boxplot method. Specifically, the contour boxplot is used to identify the most representative ensemble member and the outliers. The full probability density functions of sea surface height are estimated using the PC method. With 20 years of satellite observations, the predictability in the circulation forecast of the Gulf of Mexico is investigated using information theory. Finally, we update our knowledge about the uncertain inputs using along track satellite observations. The best initial perturbations are found using the Bayesian optimization approach and the full posterior distributions of the uncertain inputs are estimated using the Bayesian inference framework. - , - Published - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1448", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1448", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1448", "url": "https:\/\/hdl.handle.net\/11329\/1448" }, "author": [ { "@type": "Person", "name": "Wang, Shitao" } ], "contributor": [ { "@type": "Organization", "name": "University of Miami (PhD Thesis)" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Currents" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2458", "name": "Annex 5, 6, 7 and 8 - Method for calculating Days at Sea and Fishing Days.", "description": " - This document describes the method used to calculate the effort measures Days at Sea and Fishing Days. The intention is that the method can be implemented on different platforms. An R script has been produced that implements this method. Fisheries without logbooks or equivalent information are not considered. - , - Published - , - Contributors: Berkenhagen, J., Demaneche, S., Prista, N., Reis, D., Reilly, T., Andriukaitiene, J., Aquilina, M., Avdi\u010d Mravlje, E., Calvo Santos, A., Charilaou, C., Dalskov, J., Davidiuk, I., Diamant, A., Egekvist, J., Elliot, M., Ioannou, M., Jakovleva, I. Kuzebski, E., Ozernaja, O., Pinnelo, D., Thasitis, I., Verl\u00e9, K., Vitarnen, J., W\u00f3jcik, I. - , - Refereed - , - Current - , - 14.6 - , - 2.3 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2458", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2458", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2458", "url": "https:\/\/hdl.handle.net\/11329\/2458" }, "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Days at sea", "Fishing days", "Fisheries", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1625", "name": "Marine Debris: Understanding, Preventing and Mitigating the Significant Adverse Impacts on Marine and Coastal Biodiversity.", "description": " - Marine debris is recognized as a globally significant stressor on the marine and coastal environment, with impacts on marine biodiversity having been reported over the last four decades. There are also socioeconomic impacts, as debris can be a health and safety hazard and can also affect commercially significant resources. The vast majority of marine debris is made up of various forms of plastic that are highly persistent and often contain toxic chemicals or acquire them from the surrounding seawater. The fragmentation of plastics produces large numbers of microplastic particles that are easily taken up by a wide range of marine organisms. Plastic production has grown exponentially since the 1950s and is expected to continue at an increasing rate over the coming decades. According to current estimates, between 4.8 and 12.7 million tonnes of plastic waste entered the marine environment in 2010. This document provides an update to the review of the impacts of marine debris that was previously undertaken by the Scientific and Technical Advisory Panel of the GEF (GEF-STAP) in collaboration with the Secretariat of the Convention on Biological Diversity (SCBD), and published as CBD Technical Series 67 in 2012. This document follows a similar format and should be referred to in combination with the aforementioned document. The first chapter of this document reviews the state of knowledge of the various impacts of marine debris on marine and coastal biodiversity. It provides an update of the total number of species known to be affected by marine debris, which is now almost 800 (including effects of ghost fishing reported in recent years). The proportion of cetacean and seabird species affected by marine debris ingestion has risen substantially to 40 per cent and 44 per cent, respectively. The latest research on the physical and toxicological effects of microplastic is summarized along with evidence of trophic transfer in planktonic food chains in the laboratory and direct uptake of microplastics by invertebrates in the marine environment. Results of studies of plastic marine debris as a novel habitat for unique microbial communities and a potential vector for disease are also provided. The report also addresses the ability of large macrodebris items to transport invasive alien species across oceans, based on evidence from recent records of tsunami debris stranding along the west coast of North America. The impacts of lost, abandoned or discarded fishing gear on marine biodiversity, including long-term effects of ghost fishing and habitat degradation mainly from plastic-based gear, are also discussed. Recent estimates of the socioeconomic costs of marine debris are also provided to complement the information available in CBD Technical Series 67. The second chapter provides a review of policy options and approaches that are in place or have been proposed to address the impacts of marine debris. This includes a summary of the latest research to monitor and model the distribution and abundance of debris in the marine environment. The responses of management and regulatory bodies at the global or regional level indicate that the issue of marine debris is gaining recognition as a significant ecological and socioeconomic problem that may also have implications for human health. Different types of policy approaches and research needs to tackle predominantly land-based sources of marine debris are described. - , - Published - , - Current - , - 14.1 - , - N\/A - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1625", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1625", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1625", "url": "https:\/\/hdl.handle.net\/11329\/1625" }, "author": [ { "@type": "Person", "name": "Harding, Simon" } ], "contributor": [ { "@type": "Organization", "name": "Secretariat of the Convention on Biological Diversity" } ], "keywords": [ "Marine litter", "Marine plastics", "Marine debris", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2543", "name": "IEC 60565-1:2020. Underwater acoustics - Hydrophones - Calibration of hydrophones - Part 1: Procedures for free-field calibration of hydrophones. Edition 1.", "description": " - IEC 60565-1:2020 specifies methods and procedures for free-field calibration of hydrophones, as well as individual electroacoustic transducers that can be used as hydrophones (receivers) and\/or projectors (source transducers). Two general types of calibration are covered within this document: absolute calibration using the method of three-transducer spherical-wave reciprocity, and relative calibration by comparison with a reference device which has already been the subject of an absolute calibration. The maximum frequency range of the methods specified in this document is from 200 Hz to 1 MHz. The lowest acoustic frequency of application will depend on a number of factors, and will typically be in the range 200 Hz to 5 kHz depending mainly on the dimensions of the chosen test facility, The highest frequency of application for the methods described here is 1 MHz. Procedures for pressure hydrophone calibration at low frequencies can be found in IEC 60565 2 [1] . Procedures for hydrophone calibration at acoustic frequencies greater than 1 MHz are covered by IEC 62127-2 [2]. Excluded from the scope of this document are low-frequency pressure calibrations of hydrophones, which are described in IEC 60565-2 [1]. Also excluded are calibrations of digital hydrophones and systems, calibration of marine autonomous acoustic recorders, calibration of acoustic vector sensors such as particle velocity sensors and pressure gradient hydrophones, calibration of passive sonar arrays consisting of multiple hydrophones, and calibration of active sonar arrays consisting of projectors and hydrophones. This document presents a description of the requirements for free-field calibration in terms of test facility, equipment and instrumentation, signal processing, and frequency limitations. A description of achievable uncertainty and rules for the presentation of the calibration data are provided. Also included are informative annexes that provide additional guidance on \u2022 measurement of directional response of a hydrophone or projector, \u2022 measurement of electrical impedance of hydrophones and projectors, \u2022 electrical loading corrections, \u2022 acoustic far-field criteria in underwater acoustic calibration, \u2022 pulsed techniques in free-field calibrations, \u2022 assessment of uncertainty in the free-field calibration of hydrophones and projectors, \u2022 derivation of the formulae for three-transducer spherical-wave reciprocity calibrations, \u2022 calibration using travelling-wave tubes, \u2022 calibration of hydrophones using optical interferometry, and \u2022 calibrations in reverberant water tanks using continuous signals. IEC 60565-1:2020 together with IEC 60565-2:2019, cancels and replaces the second edition of IEC 60565 published in 2006. This edition constitutes a technical revision. This edition includes the following significant technical changes with respect to the previous edition: 1) removal of all descriptions of methods for pressure calibrations of hydrophones \u2013 these are now included in Part 2; 2) removal of the derivations of formulae for free-field reciprocity calibration (both amplitude sensitivity and phase sensitivity) and placement of these into an informative annex; 3) inclusion within the scope of the calibration of the transmitting response of individual source transducers and hydrophones (but not sonar arrays); 4) re-ordering of the sections within the document such that the more general procedures for calibration such as guidance on obtaining conditions of acoustic free-field, far-field, and steady-state, appear before the descriptions of procedures for absolute or relative calibrations; 5) revision of informative Annex A to include guidance on measurement of directional response of a hydrophone or projector; 6) addition of a new informative Annex B on measurement of electrical impedance of hydrophones and projectors; 7) revision of the previous informative annex on electrical loading corrections to include corrections to account for electrical loading by added cables (now Annex C); 8) addition of a new informative Annex D on acoustic far-field criteria in underwater acoustic calibration; 9) revision of the previous informative annex on pulsed techniques in free-field calibrations (now Annex E); 10) revision of the previous informative annex on assessment of uncertainty in the calibration of hydrophones (now Annex F); 11) deletion of the previous informative annex on equivalent circuit of the excitation system for calibration with a vibrating column; 12) addition of a new informative Annex G on derivation of the formulae for three-transducer spherical-wave reciprocity calibration; 13) addition of a new informative Annex H on calibration using travelling-wave tubes; 14) addition of a new informative Annex I on calibration of hydrophones using optical interferometry. 15) addition of a new informative Annex J on calibration in reverberant water tanks using continuous signals. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2543", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2543", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2543", "url": "https:\/\/hdl.handle.net\/11329\/2543" }, "contributor": [ { "@type": "Organization", "name": "International Electrotechnical Commission (IEC)" } ], "keywords": [ "Calibration", "Hydrophone calibration", "Transducers", "Acoustics", "hydrophones" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1457", "name": "Fisheries learning exchanges: a short guide to best practice.", "description": " - This handbook provides guidance on developing, implementing, evaluating and sustaining fisheries learning exchanges (FLEs). A collaboration between FAO, the NGO Blue Ventures and the research initiative FLExCELL, it draws on experiences from dozens of learning exchanges over the past decade to provide actionable, accessible advice and best practices. While anyone seeking to better understand FLEs will find the information presented here of use, the guide is aimed primarily at practitioners such as NGOs and government workers acting as technical partners to fishing communities in tropical developing countries. - , - Published - , - Contributing authors: Katie Thompson, Lekelia D. Jenkins, Shawn Peabody, Brian Jones, - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1457", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1457", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1457", "url": "https:\/\/hdl.handle.net\/11329\/1457" }, "author": [ { "@type": "Person", "name": "Rocliffe, Steve" } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Fishing", "Knowledge exchange", "Fisheres management", "Marine conservation", "Indigenous people", "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/167", "name": "Manual of quality control procedures for validation of oceanographic data.", "description": " - This manual provides the reader with a selection of existing standards, procedures, and advice concerning data quality control, and data validation. Included are the parameters which seemed to have adequately been developed for data QC standards based on experience. Standards are continuously being developed for a wider range of parameters, especially in the areas of marine chemistry, acoustics, biology, optics, and remote sensing. - , - data quality control, International Oceanographic Data Exchange, - , - Prepared by: CEC: DG-XII, MAST and IOC: IODE - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/167", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/167", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/167", "url": "https:\/\/hdl.handle.net\/11329\/167" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IOC" } ], "keywords": [ "Oceanography", "Data processing", "Quality control", "Quality assurance", "Data processing", "Quality assurance" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1207", "name": "Monitoring the abundance of plastic debris in the marine environment.", "description": " - Plastic debris has significant environmental and economic impacts in marine systems. Monitoring is crucial to assess the efficacy of measures implemented to reduce the abundance of plastic debris, but it is complicated by large spatial and temporal heterogeneity in the amounts of plastic debris and by our limited understanding of the pathways followed by plastic debris and its long-term fate. To date, most monitoring has focused on beach surveys of stranded plastics and other litter. Infrequent surveys of the standing stock of litter on beaches provide crude estimates of debris types and abundance, but are biased by differential removal of litter items by beachcombing, cleanups and beach dynamics. Monitoring the accumulation of stranded debris provides an index of debris trends in adjacent waters, but is costly to undertake. At-sea sampling requires large sample sizes for statistical power to detect changes in abundance, given the high spatial and temporal heterogeneity. Another approach is to monitor the impacts of plastics. Seabirds and other marine organisms that accumulate plastics in their stomachs offer a cost-effective way to monitor the abundance and composition of small plastic litter. Changes in entanglement rates are harder to interpret, as they are sensitive to changes in population sizes of affected species. Monitoring waste disposal on ships and plastic debris levels in rivers and storm-water runoff is useful because it identifies the main sources of plastic debris entering the sea and can direct mitigation efforts. Different monitoring approaches are required to answer different questions, but attempts should be made to standardize approaches internationally. - , - Refereed - , - 14.1 - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1207", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1207", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1207", "url": "https:\/\/hdl.handle.net\/11329\/1207" }, "author": [ { "@type": "Person", "name": "Ryan, Peter G." }, { "@type": "Person", "name": "Moore, Charles J." }, { "@type": "Person", "name": "Franeke, Jan A. van" }, { "@type": "Person", "name": "Moloney, Coleen L." } ], "keywords": [ "Microplastics", "Plastic debris", "Mitigation", "Monitoring", "Seabirds", "Virgin pellets", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1939", "name": "Best practices for implementing the STAVIRO underwater video protocol. [VIDEO]", "description": " - Essential Biodiversity variables (EBV) related to benthic habitats and high trophic levels such as fish communities must be measured at fine scale but monitored and assessed at spatial scales that are relevant for policy and management actions. Local scales, such as individual marine parks, are important for assessing anthropogenic impacts, and conservation-related and fisheries management actions, while reporting on the conservation status of biodiversity to formulate national and international policies requires much broader scales. Measurements must account for the fact that coastal habitats and fish communities are heterogeneously distributed locally and at larger scales. Assessments based on in situ monitoring generally suffer from poor spatial replication and limited geographical coverage, which is challenging for area-wide assessments. Requirements for appropriate monitoring comprise cost-efficient and standardized observation protocols and data formats, spatially-scalable and versatile data workflows, data that comply with the FAIR (Findable, Accessible, Interoperable and Reusable) principles, while minimizing the environmental impact of measurements. This panoramic unbaited video technique was developed in 2007 to survey both fishes and benthic habitats in a cost-efficient manner, and with minimal effect on biodiversity. It can be deployed in areas where low underwater visibility is not a permanent or major limitation. The technique was consolidated and standardized and has been successfully used in varied settings over the last twelve years. We operationalized the EBV workflow by documenting the field protocol, survey design, image post-processing, EBV production and data curation. The STAVIRO\u2019s proven track-record of utility and cost-effectiveness indicates that it should be considered by other researchers for future applications. - , - EuroSea Project, European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No. 862626. - , - Published - , - Current - , - 14.a - , - Fish abundance and distribution - , - Hard coral cover and composition - , - Sea grass cover and composition - , - Macroalgal canopy cover and composition - , - Marine turtles, birds, mammals abundance and composition - , - Mature - , - Multi-organisational - , - Taxonomic diversity - , - Species distribution - , - Marine habitats - , - Underwater video lander - , - Method - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1939", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1939", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1939", "url": "https:\/\/hdl.handle.net\/11329\/1939" }, "author": [ { "@type": "Person", "name": "Pelletier, Dominique" }, { "@type": "Person", "name": "Cad\u00e9, Florent" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Roos, David" } ], "contributor": [ { "@type": "Organization", "name": "French Institute for the Exploitation of the Sea (Ifremer) and Oceans.mov and Ocean Best Practices System" } ], "keywords": [ "STAVIRO (STAtion VIdeo ROtative)", "Fish", "Underwater photography", "Biota abundance, biomass and diversity", "underwater cameras", "Data acquisition", "Data analysis", "Data archival\/stewardship\/curation", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1763", "name": "Joint FORCE11 & COPE Research Data Publishing Ethics Working Group Recommendations for the handling of ethical concerns relating to the publication of research data. Version 1.", "description": " - The scope of the Working Group is to develop recommendations for how data repositories, journal publishers, and institutions can handle ethical cases relating to the publication of research data, and steps to take if an ethical issue is confirmed after the publication of the dataset, or its submission for publication. We recognize that ethical considerations can arise at all stages of the research cycle, including research conceptualization, data collection and analysis, and publication, however, the recommendations in this document focus on the handling of issues related to the publication stage. The recommendations are outlined in relation to four types of concerns: Authorship & Contribution Conflicts, Legal & Regulatory Restrictions, Rigor, Risk. Each of the sections provides a description of the type of situations falling within each category, context on how the concerns may arise, and recommendations on how stakeholders can handle the concerns once the issue is raised to the attention of the data publisher. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1763", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1763", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1763", "url": "https:\/\/hdl.handle.net\/11329\/1763" }, "author": [ { "@type": "Person", "name": "Puebla, Iratxe" }, { "@type": "Person", "name": "Lowenberg, Daniella" } ], "contributor": [ { "@type": "Organization", "name": "Joint FORCE11 & COPE Research Data Publishing Ethics Working Group" } ], "keywords": [ "Ethics", "Cross-discipline", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1243", "name": "Best Practices Document Template: Sensors. Version 2023-06-26.", "description": " - This Best Practice document template including metadata recommendations is provided by the Ocean Best Practices System as suggested content and format for the creation of new Best Practice documents for Sensors, Instruments, platforms, mooring types etc. This is version 2023-06-26 created with the help of a small group from the ocean observing community. It is expected that with usage by the community updated versions may be issued. - , - Published - , - Current - , - 14.A - , - Mature - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1243", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1243", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1243", "url": "https:\/\/hdl.handle.net\/11329\/1243" }, "contributor": [ { "@type": "Organization", "name": "International Oceanographic Data and Information Exchange(IODE) for Ocean Best Practices System" } ], "keywords": [ "Ocean Best Practices System", "OBPS", "Document template", "Sensors", "Instruments", "Standard Operating Procedure", "Best Practices", "Mooring type", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/745", "name": "Performance Verification Statement for the Eureka Manta2 pH Sensor.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al. (2011). A total of 263 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the Eureka Manta2 pH sensor which is a glass electrode with a KCl reference electrode. The Manta2 was submitted for testing after the Laboratory study was completed under a new Request for Technologies, therefore only results for the Field testing component are presented. At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6 oC and 33. The measured ambient pH range from our 84 discrete reference samples was 7.933 \u2013 8.077. At this site two instrument sondes were deployed with identical pH sensors, however, one was enclosed in a copper mesh screen to serve as an anti-fouling measure and one in a plain sensor guard. The Manta2 with the copper screen operated for 23 consecutive days before experiencing a power failure. Ambient pH measured by this unit ranged from 7.95 to 8.63. The average and standard deviation of the measurement difference between the Manta2 and reference pH was 0.258 \u00b1 0.181 with a total range of -0.014 to 0.551 (N=64). The Manta2 with no anti-fouling operated continuously for the entire 28 days of the deployment, resulting in 2579 observations at 15 minute intervals. Ambient pH measured by this Manta2 sonde ranged from 8.28 to 8.60. The average and standard deviation of the measurement difference between this Manta2 and reference pH was 0.512 \u00b1 0.059 with a total range of 0.333 to 0.584 (N=84). At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5 oC and 34.4. The measured ambient pH range from our 101 discrete reference samples was 7.814 \u2013 8.084. The Manta2 sonde operated continuously throughout the first 67 days of deployment measuring at 30 minute intervals, however, a tunicate colonized directly on the pH sensor bulb causing it to fracture and the data beginning on January 30th were not useable for comparisons (pH instantly dropped from 8.1 to 6.6 indicating failure). Ambient pH measured by the Manta2 ranged from 7.85 to 8.39. The average and standard deviation of the measurement difference between instrument and reference was 0.17 \u00b10.02 with a total range in the differences of 0.12 to 0.20 (N=75). At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9 oC and 12.8. The measured ambient pH range from our 107 discrete reference samples was 8.024 \u2013 8.403. The Manta2 operated successfully over the entire deployment and generated 2756 observations based on its 15 minute sampling interval. Ambient pH measured by the Manta2 ranged from 8.14 to 8.54. The average and standard deviation of the measurement difference between instrument and reference pH was 0.12 \u00b10.02, with the total range of differences from 0.09 to 0.16 (N=107). At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2 oC and 0.03. The measured pH range from our 98 discrete reference samples was 8.013 - 8.526. The Manta2 operated continuously over the entire deployment and generated 2680 observations based on its 15 minute sampling interval. Ambient pH measured by the Manta2 ranged from 7.86 to 8.51. The average and standard deviation of the difference between instrument and reference pH was -0.07 \u00b1 0.04 with a total range of -0.20 to -0.004 (N=98). A summary plot of all four field tests indicates that the Manta2 responded consistently with good agreement to reference pH measurements at three of the four test sites. No explanation or observed failure was discovered to explain the performance at the Moss Landing test site. Results for the brackish and saline test sites show an expected offset due to calibration and scale differences between NBS buffers and the pHtotal scale reported by the spectrophotometric dye measurement. Lastly, it is worth emphasizing that the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. There were no obvious changes in the differences between instrument and reference measurements during the duration of the mooring test, indicating that biofouling and instrument drift had not significantly affected measurement performance over these deployment durations. Continuous in situ monitoring technologies, such as the Eureka Manta 2, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/745", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/745", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/745", "url": "https:\/\/hdl.handle.net\/11329\/745" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/789", "name": "Protocols for Verifying the Performance of In Situ Chlorophyll Fluorometers.", "description": " - Instrument performance verification is necessary to enable effective existing technologies to be recognized and so that promising new technologies can be made available to support coastal science, resource management and the long-term development of an Integrated Ocean Observing System. The Alliance for Coastal Technologies (ACT) has therefore been established to provide an unbiased, third party testbed for evaluating new and developing coastal sensors and sensor platforms for use in coastal environments. The following protocols describe how ACT will verify the environmental performance characteristics of commercial-ready, in situ fluorometers through the evaluation of objective and quality assured data. The goal of this evaluation program is to provide technology users with an independent and credible assessment of instrument performance in a variety of environments. Therefore, the data and information on performance characteristics will cover legitimate information that users need. ACT will not simply verify vendor claims, but instead looks to the broader community to define the data and operational parameters that are valuable in guiding instrument purchase and deployment decisions. It is important to note that ACT does not certify technologies or guarantee that a technology will always, or under circumstances other than those used in testing, operate at the levels verified. ACT does not seek to determine regulatory compliance; does not rank technologies or compare their performance; does not label or list technologies as acceptable or unacceptable; and does not seek to determine \u201cbest available technology\u201d in any form. ACT will avoid all potential pathways to picking \u201cwinners and losers\u201d. Therefore, although the following protocols will apply to all instruments evaluated, no direct comparisons will be made between instruments from different manufacturers and instrument-specific Verification Statements will be released to the public for each instrument type as a final report - , - Unpublished - , - Refereed - , - Current - , - Ocean Colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/789", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/789", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/789", "url": "https:\/\/hdl.handle.net\/11329\/789" }, "author": [ { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2555", "name": "SISP 13 - Manual for egg survey for winter spawning fish in the North Sea. Version 2.", "description": " - Ichthyoplankton surveys, specifically targeting stage 1 (i.e. recently spawned) eggs provide invaluable data on the distribution of spawning. In the North Sea two such surveys were undertaken to examine the winter\/early spring spawning of various fish species in 2004 and 2009 (Fox et al. 2008; Damme et al. 2009; Munk et al. 2009; H\u00f6ffle et al. 2017). The target species for these surveys were cod (Gadus morhua) and plaice (Pleuronectes platessa). The survey in 2004 covered the North Sea a number of times, however, due to financial and vessel constraints the 2009 survey provided only a single coverage of the entire North Sea (ICES 2005, 2010). The results of these surveys indicated that spawning grounds were shifting and the density of eggs varied, suggesting a shift in the demographics of spawning in the North Sea. It was decided that regular surveys on a 5 year basis be undertaken to \u2018map\u2019 the spawning grounds of cod and plaice (ICES 2008). The intention was to determine if changes in spawning locations were occurring or whether the relative contribution from substocks was changing. It was envisioned that these surveys would be \u2018dedicated\u2019 egg sampling surveys with a primary goal of determining egg abundances and distributions. In 2004 and 2009 a number of these surveys were, combined with ongoing surveys e.g. the 1st Quarter IBTS and the ICES Herring larvae survey (IHLS) (see ICES 2009). While dedicated surveys are less likely to be available for research on the distribution of eggs and larvae such a combination of surveys is a feasible way to cover the important task of distribution of cod and plaice eggs and spawning locations. As a consequence, the ICES Working Group (WGEGGS) looked at the feasibility of obtaining egg samples from standard surveys. The surveys need to cover the whole North Sea at an appropriate time of year to capture the spawning locations of cod and plaice and other fish species. The only survey to cover the whole North Sea at the appropriate time (in the window January to early April) is the 1st quarter IBTS-MIK. During 2009 the egg surveys were undertaken during the Norwegian and Danish 1st quarter IBTS. In both cases the surveys were accomplished without compromising the time schedule of the routine bottom-trawl sampling or the MIK sampling for herring larvae, however, the deployment of an extra piece of equipment e.g. Gulf VII high speed sampler (Nash et al. 1998) did add a significant amount of time to the survey. There was a need to move to a North Sea egg survey which could be repeated periodically in the future to map and track the winter spawning locations and intensity of fish species. Using the IBTS Q1 surveys as a platform would be ideal. As extra operations are often not possible on the existing IBTS due to time constraint, Bongo or Gulf nets were inappropriate. The midwater ring net (MIK) has a too large mesh size (1.6mm) to accurately sample fish eggs. During the ICES WGEGGS meeting in S\u00e8te (October 2011) a discussion on possible sampling regimes for eggs resulted in a new ichthyoplankton net being devised, to complement the MIK, and collect fish eggs. The result was the addition of a small plankton net on the side of the MIK to collect egg samples with no additional hauling operation. The ring was dimensioned so as to filter about 20m3 of water during an average MIK haul. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2555", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2555", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2555", "url": "https:\/\/hdl.handle.net\/11329\/2555" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Cod", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1180", "name": "Methodology Used for the Detection and Identification of Microplastics\u2014A Critical Appraisal.", "description": " - Microplastics in aquatic ecosystems and especially in the marine environment represent a pollution of increasing scientific and societal concern, thus, recently a substantial number of studies on microplastics were published. Although first steps towards a standardization of methodologies used for the detection and identification of microplastics in environmental samples are made, the comparability of data on microplastics is currently hampered by a huge variety of different methodologies, which result in the generation of data of extremely different quality and resolution. This chapter reviews the methodology presently used for assessing the concentration of microplastics in the marine environment with a focus on the most convenient techniques and approaches. After an overview of non-selective sampling approaches, sample processing and treatment in the laboratory, the reader is introduced to the currently applied techniques for the identification and quantification of microplastics. The subsequent case study on microplastics in sediment samples from the North Sea measured with focal plane array (FPA)-based micro-Fourier transform infrared (micro-FTIR) spectroscopy shows that only 1.4 % of the particles visually resembling microplastics were of synthetic polymer origin. This finding emphasizes the importance of verifying the synthetic polymer origin of potential microplastics. Thus, a burning issue concerning current microplastic research is the generation of standards that allow for the assessment of reliable data on concentrations of microscopic plastic particles and the involved polymers with analytical laboratory techniques such as micro-FTIR or micro-Raman spectroscopy. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1180", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1180", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1180", "url": "https:\/\/hdl.handle.net\/11329\/1180" }, "author": [ { "@type": "Person", "name": "L\u00f6der, Martin G.J." }, { "@type": "Person", "name": "Gerdts, Gunnar" } ], "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "Microplastics", "Micro-FTIR spectroscopy", "Plastics", "Marine plastics", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1907", "name": "On the impact of Citizen Science-derived data quality on deep learning based classification in marine images.", "description": " - The evaluation of large amounts of digital image data is of growing importance for biology, including for the exploration and monitoring of marine habitats. However, only a tiny percentage of the image data collected is evaluated by marine biologists who manually interpret and annotate the image contents, which can be slow and laborious. In order to overcome the bottleneck in image annotation, two strategies are increasingly proposed: \u201ccitizen science\u201d and \u201cmachine learning\u201d. In this study, we investigated how the combination of citizen science, to detect objects, and machine learning, to classify megafauna, could be used to automate annotation of underwater images. For this purpose, multiple large data sets of citizen science annotations with different degrees of common errors and inaccuracies observed in citizen science data were simulated by modifying \u201cgold standard\u201d annotations done by an experienced marine biologist. The parameters of the simulation were determined on the basis of two citizen science experiments. It allowed us to analyze the relationship between the outcome of a citizen science study and the quality of the classifications of a deep learning megafauna classifier. The results show great potential for combining citizen science with machine learning, provided that the participants are informed precisely about the annotation protocol. Inaccuracies in the position of the annotation had the most substantial influence on the classification accuracy, whereas the size of the marking and false positive detections had a smaller influence. - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1907", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1907", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1907", "url": "https:\/\/hdl.handle.net\/11329\/1907" }, "author": [ { "@type": "Person", "name": "Langenkamper, Daniel" }, { "@type": "Person", "name": "Simon-Lledo, Erik" }, { "@type": "Person", "name": "Hosking, Brett" }, { "@type": "Person", "name": "Jones, Daniel O. B." }, { "@type": "Person", "name": "Nattkemper, Tim W." } ], "keywords": [ "Citizen science", "Machine learning", "Imaging techniques", "Deep learning", "Image data", "Underwater photography", "Data analysis", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/752", "name": "Use of, Satisfaction with, and Requirements for in Situ Hydrocarbon Sensors.", "description": " - The fundamental goal of this survey was to assess user needs and applications and to provide the focus for an Alliance for Coastal Technologies (ACT, www.act-us.info) Technology Verification of hydrocarbon sensors. The Customer Needs and Use Assessment strives to better understand how hydrocarbon sensors are used, and not to promote a specific approach to recording\/reporting hydrocarbon values. We hope this information can also assist manufacturers in refining hydrocarbon sensor technologies to better address user priorities. rom January 6th to January 31st, 2011, ACT conducted a web-based survey to aid in a Customer Needs and Use Assessment of hydrocarbon sensors. ACT Headquarters, Partners and Hydrocarbon Technical Advisory Committee members developed the questionnaire. SurveyMonkey.com provided the web-based survey tool. The survey contained a total of fifteen questions (listed below along with their responses), divided into three sections: Application, Specification, and Recommendations. Survey participants were divided into two groups: \u201cUsers\u201d and \u201cVendors.\u201d Users were asked to consider the primary in situ hydrocarbon sensor(s) they used when responding to each question. Unaware if any specific vendor (sensor manufacturer) had its own proprietary statistics collected already, Vendors were simply asked to summarize what they felt were the perspectives of their \"typical\" customers. All participants received emailed requests to participate in this online survey. To assure broad geographic coverage, regional outreach personnel at the six ACT Partner Institutions and members of the Technical Advisory committee nominated participants based on their professional interests, background, and expertise. Approximately 100 coastal resource mangers, regulatory and environmental health agency representatives, manufacturers, and scientific researchers were targeted to take part in the survey; one- third responded. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/752", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/752", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/752", "url": "https:\/\/hdl.handle.net\/11329\/752" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/812", "name": "Performance Verification Statement for the Chelsea MINItracka IIC fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the Chelsea Technologies Group MINItracka IIC fluorometer evaluated in the laboratory and under diverse field conditions in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.chelsea.co.uk) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Unpublished - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/812", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/812", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/812", "url": "https:\/\/hdl.handle.net\/11329\/812" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1858", "name": "Best practice guidelines for cetacean tagging.", "description": " - Animal-borne electronic instruments (tags) are valuable tools for collecting information on cetacean physiology, behaviour and ecology, and for enhancing conservation and management policies for cetacean populations. Tags allow researchers to track the movement patterns, habitat use and other aspects of the behaviour of animals that are otherwise difficult to observe. They can even be used to monitor the physiology of a tagged animal within its changing environment. Such tags are ideal for identifying and predicting responses to anthropogenic threats, thus facilitating the development of robust mitigation measures. With the increasing need for data best provided by tagging and the increasing availability of tags, such research is becoming more common. Tagging can, however, pose risks to the health and welfare of cetaceans and to personnel involved in tagging operations. Here we provide \u00e2\u20ac\u02dcbest practice\u00e2\u20ac\u2122 recommendations for cetacean tag design, deployment and follow-up assessment of tagged individuals, compiled by biologists and veterinarians with significant experience in cetacean tagging. This paper is intended to serve as a resource to assist tag users, veterinarians, ethics committees and regulatory agency staff in the implementation of high standards of practice, and to promote the training of specialists in this area. Standardised terminology for describing tag design and illustrations of tag types and attachment sites are provided, along with protocols for tag testing and deployment (both remote and through capture-release), including training of operators. The recommendations emphasise the importance of ensuring that tagging is ethically and scientifically justified for a particular project and that tagging only be used to address bona fide research or conservation questions that are best addressed with tagging, as supported by an exploration of alternative methods. Recommendations are provided for minimising effects on individual animals (e.g. through careful selection of the individual, tag design and implant sterilisation) and for improving knowledge of tagging effects on cetaceans through increased post-tagging monitoring - , - Refereed - , - 14.a - , - N\/A - , - Mature - , - International - , - Animal-borne sensors - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1858", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1858", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1858", "url": "https:\/\/hdl.handle.net\/11329\/1858" }, "author": [ { "@type": "Person", "name": "Andrews, Russel D." }, { "@type": "Person", "name": "Baird, Robin W." }, { "@type": "Person", "name": "Calambokidis, John" }, { "@type": "Person", "name": "Goertz, Caroline E. C." }, { "@type": "Person", "name": "Gulland, Frances M. D." }, { "@type": "Person", "name": "Heide-Jorgensen, Mads Peter" }, { "@type": "Person", "name": "Hooker, Sascha K." }, { "@type": "Person", "name": "Johnson, Mark" }, { "@type": "Person", "name": "Mate, Bruce" }, { "@type": "Person", "name": "Mitani, Yoko" }, { "@type": "Person", "name": "Nowacek, Douglas P." }, { "@type": "Person", "name": "Owen, Kylie" }, { "@type": "Person", "name": "Quakenbush, Lori T." }, { "@type": "Person", "name": "Raverty, Stephen" }, { "@type": "Person", "name": "Robbins, Jooke" }, { "@type": "Person", "name": "Schorr, Gregory S." }, { "@type": "Person", "name": "Shpak, Olga V." }, { "@type": "Person", "name": "Townsend Jr., Forrest I." }, { "@type": "Person", "name": "Uhart, Marcela" }, { "@type": "Person", "name": "Wells, Randall S." }, { "@type": "Person", "name": "Zerbini, Alexandre N." } ], "keywords": [ "Animal borne sensors", "Animal borne telemetry", "Bio-logging", "Radio tagging", "Satellite tagging", "Cetaceans", "Birds, mammals and reptiles", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2108", "name": "Rolling Deck to Repository: Supporting the marine science community with data management services from academic research expeditions.", "description": " - Direct observations of the oceans acquired on oceanographic research ships operated across the international community support fundamental research into the many disciplines of ocean science and provide essential information for monitoring the health of the oceans. A comprehensive knowledge base is needed to support the responsible stewardship of the oceans with easy access to all data acquired globally. In the United States, the multidisciplinary shipboard sensor data routinely acquired each year on the fleet of coastal, regional and global ranging vessels supporting academic marine research are managed by the Rolling Deck to Repository (R2R, rvdata.us) program. With over a decade of operations, the R2R program has developed a robust routinized system to transform diverse data contributions from different marine data providers into a standardized and comprehensive collection of globalranging observations of marine atmosphere, ocean, seafloor and subseafloor properties that is openly available to the international research community. In this article we describe the elements and framework of the R2R program and the services provided. To manage all expeditions conducted annually, a fleetwide approach has been developed using data distributions submitted from marine operators with a data management workflow designed to maximize automation of data curation. Other design goals are to improve the completeness and consistency of the data and metadata archived, to support data citability, provenance tracking and interoperable data access aligned with FAIR (findable, accessible, interoperable, reusable) recommendations, and to facilitate delivery of data from the fleet for global data syntheses. Findings from a collection-level review of changes in data acquisition practices and quality over the past decade are presented. Lessons learned from R2R operations are also discussed including the benefits of designing data curation around the routine practices of data providers, approaches for ensuring preservation of a more complete data collection with a high level of FAIRness, and the opportunities for homogenization of datasets from the fleet so that they can support the broadest re-use of data across a diverse user community. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2108", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2108", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2108", "url": "https:\/\/hdl.handle.net\/11329\/2108" }, "author": [ { "@type": "Person", "name": "Carbotte, Suzanne M." }, { "@type": "Person", "name": "O\u2019Hara, Suzanne" }, { "@type": "Person", "name": "Stocks, Karen" }, { "@type": "Person", "name": "Clark, P. Dru" }, { "@type": "Person", "name": "Stolp, Laura" }, { "@type": "Person", "name": "Smith, Shawn R." }, { "@type": "Person", "name": "Briggs, Kristen" }, { "@type": "Person", "name": "Hudak, Rebecca" }, { "@type": "Person", "name": "Miller, Emily" }, { "@type": "Person", "name": "Olson, Chris J." }, { "@type": "Person", "name": "Shane, Neville" }, { "@type": "Person", "name": "Uribe, Rafael" }, { "@type": "Person", "name": "Arko, Robert" }, { "@type": "Person", "name": "Chandler, Cynthia L." }, { "@type": "Person", "name": "Ferrini, Vicki" }, { "@type": "Person", "name": "Miller, Stephen P." }, { "@type": "Person", "name": "Doyle, Alice" }, { "@type": "Person", "name": "Holik, James" } ], "keywords": [ "R2R", "Ocean observations", "Research cruise", "Interoperability", "FAIR Principles", "Data curation", "Cross-discipline", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1403", "name": "Data Citation and Publication for Researchers.", "description": " - Data are a fundamental part of the research process. Without them, it is impossible to verify the results of published studies or reproduce the science. Yet modern datasets are so large that it is not practical for the data to be published as part of the research article, or in the supplementary materials, and so the data must be kept and managed in a suitable repository. This separation of data from article means that if the scientific record is to be maintained, the links between the article and the dataset must be kept. Data citation provides a method of obtaining academic credit for the work put into creating, managing and curating a dataset. With a formal data citation, it becomes possible to piggy-back on existing methods for counting the impact of journal papers, providing an indication of how cited (and therefore how used) a dataset is. There is a rising feeling in the scientific community that data can and should be treated as a first class research object, and those scientists who create them should get an appropriate level of academic credit for their work. Unsurprisingly, this requires a substantial cultural change, with buy-in from all levels of the scientific community, including the research funders. I - , - Published - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1403", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1403", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1403", "url": "https:\/\/hdl.handle.net\/11329\/1403" }, "contributor": [ { "@type": "Organization", "name": "UK Environmental Observation Framework (UKEOF)" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data citation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/715", "name": "Biological effects of contaminants: Use of imposex in the dogwhelk (Nucella lapillus) as a bioindicator of tributyltin pollution.", "description": " - This document describes a method for detecting contamination of the marine environment by tributyltin (TBT) using a sensitive neogastropod, the dogwhelk Nucella lapillus (L.), as a bioindicator. Exposure of female N. lapillus to TBT induces masculinization; this induction of masculinization has been termed 'imposex'. The indices that have been employed to measure imposex in N. lapillus are described here, together with a brief account of the biology of this organism. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/715", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/715", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/715", "url": "https:\/\/hdl.handle.net\/11329\/715" }, "author": [ { "@type": "Person", "name": "Gibbs, P. E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/194", "name": "GF3: a General formatting system for geo-referenced data. Volume 6. Quick reference sheets for GF3 and GF3-PROC.", "description": " - Published - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/194", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/194", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/194", "url": "https:\/\/hdl.handle.net\/11329\/194" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data storage", "Computer programs", "Computer programs", "Data storage" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1090", "name": "OGC RESTful Encoding of Ordering Services Framework For Earth Observation Products. Version 1.0.", "description": " - This OGC Best Practices document specifies the interfaces, bindings, requirements, conformance classes that enable complete workflows for ordering Earth Observation (EO) data products. In fact it provides the interfaces for supporting the following EO Product ordering scenarios: -- Ordering products from EO Catalogues -- Subscribing to automatic delivery of EO products -- Bulk EO Product orders The EO products orders can be delivered on file via different online protocols (e.g. ftp, sftp, ftps, etc.). The ordered items can be customized in detail, one by one or altogether, via the processing options and scene selection options. These options are dynamically discovered and set from the clients by calling appropriate methods of Ordering Services resources. This specification includes a comprehensive list of processing options (Table 7-25) and scene selection options (Table 7-26) derived from the parent specification OGC 06-141r6 which gathered inputs from several Satellite Agencies and Operators: -- ESA -- EUMETSAT -- CNES -- DLR -- CSA -- SPOT Image In case these already identified options are not sufficient for the specific mission, they can be extended following the SWE Common 2.0 framework. In Annex A, B, C there are possible examples for new ESA Sentinel missions. This document is based on the standard: OGC 06-141r6 Ordering Services Framework for Earth Observation Products Interface Standard V1.0.0 That was initially produced during the ESA HMA (Heterogeneous Missions Accessibility) initiative [OR1] and related projects. With respect to the parent specification this Best Practice document proposes the following changes: **Replaces SOAP with REST for service encoding.This affects not only the way the service is implemented, but also the way the standard is presented and described. In fact basing on REST implies that the service has to be described in terms of resources and methods applied on them while in SOAP services the description is focusing on operations and in fact the OGC 06-141r6 is structured in Web Service operations. -- Usage of OpenSearch Description Documents as alternate method for describing Ordering Options (\u00a77.3.2.2). This specification uses the order options model already described in the OGC 06-141r6 standard, with some minor updates, that is now referred as \u201cCanonical XML format\u201d, but defines also an additional method for describing order options within Open Search Description Documents. Actually this part of the specification can be considered as an Open Search extension for order options. This part of the specification is meant to be used when the EO products can be directly downloaded after a catalogue interaction with possible application of some order options (\u00a76.3.3). -- Simplification of the interfaces focusing on a sub-set of the scenarios supported by the parent specification: no future products orders supported, no orders on media. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1090", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1090", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1090", "url": "https:\/\/hdl.handle.net\/11329\/1090" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "RESTful encoding", "Earth Observation Products", "Earth Observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1852", "name": "Biological Observation Data Standardization - A Primer for Data Managers.", "description": " - Lots of standards exist for use with biological data but navigating them can be difficult for data managers who are new to them. The Earth Science Information Partners (ESIP) Biological Data Standards Cluster developed this primer for managers of biological data to provide a quick, easy resource for navigating a selection of the standards that exist. The goal of the primer is to spread awareness about existing standards and is intended to be shared online and at conferences to increase the adoption of standards for biological data and make them FAIR. - , - Published - , - Current - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1852", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1852", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1852", "url": "https:\/\/hdl.handle.net\/11329\/1852" }, "author": [ { "@type": "Person", "name": "Benson, Abigail" }, { "@type": "Person", "name": "LaScala-Gruenewald, Diana" }, { "@type": "Person", "name": "McGuinn, Robert" }, { "@type": "Person", "name": "Satterthwaite, Erin" }, { "@type": "Person", "name": "Beaulieu, Stace" }, { "@type": "Person", "name": "Biddle, Mathew" }, { "@type": "Person", "name": "deWitt, Lynn" }, { "@type": "Person", "name": "McKinzie, Megan" }, { "@type": "Person", "name": "Montes, Enrique" }, { "@type": "Person", "name": "Moustahfid, Hassan" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Murray, Tylar" }, { "@type": "Person", "name": "Van de Putte, Anton" } ], "contributor": [ { "@type": "Organization", "name": "ESIP Biological Data Standards Cluster" } ], "keywords": [ "FAIR", "Data standards", "Biological data", "Cross-discipline", "Data processing", "Metadata management", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/497", "name": "Evaluation of CuNiFer 10 Biofouling Resistance.", "description": " - CuNiFer 10 is a copper \/ nickel \/ iron alloy with natural anti-corrosion and anti-biofouling properties, however it is not commonly used by the oceanographic community. This report details the results of a six month test, comparing the biofouling characteristics of CuNiFer 10 to other surface treatments and untreated surfaces. CiNiFer 10 was found to be equal in protection to the most effective copper treatments. - , - Unpublished - , - Non Refereed - , - Current - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/497", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/497", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/497", "url": "https:\/\/hdl.handle.net\/11329\/497" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" } ], "contributor": [ { "@type": "Organization", "name": "CoastalObsTechServices LLC" } ], "keywords": [ "Biofouling prevention", "Corrosion", "Instrument housing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/581", "name": "A Comparison of Datums Derived from CO-OPS Verified Data Products and Tidal Analysis Datum Calculator.", "description": " - The NOAA National Ocean Service Center for Operational Oceanographic Products and Services (CO-OPS) has developed a publicly accessible tool to compute tidal datums from water level data with a variety of tidal signals. The Tidal Analysis and Datums Calculator (TAD) uses a Butterworth digital filter to remove high frequency (> 4 cycles\/day) water level variability in order to identify tidal high and low waters from observed water level data. Present CO-OPS procedure uses a Curve Fit Manual Verification (CFMV) approach to identify tidal high and low waters. A comparison of high and low water selections at eight long-term NOAA water level stations shows that the mean difference between selections made by TAD and CFMV have a mean bias of 0 at the 1 mm level, and the standard deviations of the differences are all within CO-OPSaccepted data processing error bounds. Instances of major differences (> 0.02 m) between individual high and low water selections are rare and have no significant influence on the resulting datums. The difference in errors associated with tidal datums computed by TAD and CFMV is less than 0.002 m when compared to the published tidal datums at the eight stations. The results here demonstrate that TAD is able to efficiently determine accurate high and low water values without manual verification. Therefore, users of this new tool will be able to generate consistent and reproducible tidal datums that are useful for coastal planning and restoration. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/581", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/581", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/581", "url": "https:\/\/hdl.handle.net\/11329\/581" }, "author": [ { "@type": "Person", "name": "Licate, L.A." }, { "@type": "Person", "name": "Huang, L." }, { "@type": "Person", "name": "Dusek, G." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Water level", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/781", "name": "Use of, Satisfaction with, and Requirements for In-Situ Turbidity Sensors.", "description": " - This study was conducted for the Alliance for Coastal Technologies (ACT) to gather data about the use of in-situ turbidity sensors. The study entailed a telephone survey of professionals in the coastal resources field, such as biologists, researchers, and coastal managers, who are currently involved in measuring turbidity in coastal and near-coastal waters. The telephone survey questionnaire was developed cooperatively by Responsive Management and the ACT. Responsive Management conducted a pre-test of the questionnaire, and revisions were made to the questionnaire based on the pre-test. Interviews were conducted Monday through Friday from 9:00 a.m. to 9:00 p.m., Saturday noon to 5:00 p.m., and Sunday from 3:00 p.m. to 9:00 p.m., all local time. The survey was conducted in April and May 2005. Responsive Management obtained a total of 50 completed interviews. The software used for data collection was Questionnaire Programming Language 4.1. The analysis of data was performed using Statistical Package for the Social Sciences software as well as proprietary software developed by Responsive Management. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/781", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/781", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/781", "url": "https:\/\/hdl.handle.net\/11329\/781" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1854", "name": "Standard Operating Procedure for Flat Port Camera Calibration. Version 0.2.", "description": " - This document specifies the practical procedure to obtain good images for geometric camera calibration at GEOMAR. Geometric camera calibration means that for each pixel in the image the associated 3D ray in space is known with respect to the camera. This is useful for measuring with cameras, i.e. to reason about sizes, distances, angles, volumes, surfaces in 2D and 3D and to track the motion of a camera through space. This document is the first SOP for calibration and refers to the intrinsic, geometric calibration of a single camera with at port interface that is submerged underwater, in particular how to capture the calibration data. Photometric calibration (intensities, colours) of camera, light and water properties is out of scope of this document and also geometric calibration of dome ports, stereo systems, camera-laser calibration or so called handy-eye calibration of a camera and a platform (e.g. ROV) or other sensors, has to be specified in further documents. Still, the principles about image capture, image quality and so on, carry on to other calibration tasks as well. In a first step the classical intrinsic camera calibration is performed in air to obtain the exact focal length and other lens parameters. Ideally, in a second step the camera is submerged underwater to obtain the refractive calibration, i.e. parameters such as at port interface normal, thickness and distance. All images must be captured with the same zoom1 and focus2 setting. - , - Published - , - Current - , - 14.a - , - N\/A - , - Organisational - , - Camera - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1854", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1854", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1854", "url": "https:\/\/hdl.handle.net\/11329\/1854" }, "author": [ { "@type": "Person", "name": "K\u00f6ser, Kevin" }, { "@type": "Person", "name": "Jordt, Anne" } ], "contributor": [ { "@type": "Organization", "name": "GEOMAR Helmholtz Centre for Ocean Research" } ], "keywords": [ "Underwater camera", "Calibration", "Refraction", "Cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1627", "name": "Extraction and quantification of microphytobenthic Chl a within calcareous reef sands.", "description": " - Calcareous reef sands are characterized by high concentrations of photosynthetic pigments that extend well below the sediment surface, as well as by high variability in concentrations between study sites. An important contributor to the observed variability may be differences in extraction protocols, further complicated by variability in calcareous sand characteristics. We tested the effects of freeze-drying, grinding, sonication, extraction temperature, and extraction time on quantification of Chl a content within calcareous sands. The resulting optimized extraction protocol consists of freeze-drying, grinding with a mortar and pestle for 30 s, and extracting with 100% acetone at \u201320\u00b0C for at least 20 h, yielding a 39% increase in Chl a content over frozen, unground samples. Using this protocol, we measured and compared ten sedimentary Chl a profiles taken in close proximity to test for relationships between surface and sub-surface concentrations. Sedimentary Chl a content at a backreef location on the south shore of O\u2018ahu varied between 4.33-14.25 \u03bcg g\u20131 dw, with distinctly higher values occurring in a relatively enriched surface layer (0-1 cm). Surface Chl a concentrations varied between 86-307 mg m\u20132, depending on the depth of integration (0.5-2 cm), with 73% of the full-core (0-8 cm) Chl a concentration occurring below 2 cm. The concentrations of surface and subsurface layers were significantly correlated between cores, allowing for the use of plug sampling when profile generation is not feasible or necessary to determine the magnitude of the subsurface microphytobenthic biomass and its variability over scales of meters. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Chlorophyll a - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1627", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1627", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1627", "url": "https:\/\/hdl.handle.net\/11329\/1627" }, "author": [ { "@type": "Person", "name": "Hannides, Angelos K." }, { "@type": "Person", "name": "Glazer, Brian T." }, { "@type": "Person", "name": "Sansone, Francis J." } ], "keywords": [ "Other organic chemical measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1801", "name": "Methods for supporting stock assessment in the Mediterranean (STECF-21-02).", "description": " - Commission Decision of 25 February 2016 setting up a Scientific, Technical and Economic Committee for Fisheries, C(2016) 1084, OJ C 74, 26.2.2016, p. 4\u201310. The Commission may consult the group on any matter relating to marine and fisheries biology, fishing gear technology, fisheries economics, fisheries governance, ecosystem effects of fisheries, aquaculture or similar disciplines. This report, on methods for supporting stock assessment in the Mediterranean (STECF-21-02), addresses the data checking and preparation for stock assessment once the data has been submitted following the annual data calls. The report provides an overview of the data errors and quality control carried out on both commercial landings data and MEDITS survey data. The analyses reported also address the small fraction of commercial catch with sampling gaps, and how these are assigned appropriate length frequency distributions. The results of these check and assignments are provided by species, GSA and country. Quality checks were carried out on Medits data check consistency of the main reporting files and highlighting where data inconsistencies occurred. Additionally the total landings reported to the European Commission under the Black & Med-Sea data call, the Fisheries Independent Data call and the Annual Economic Report data call were compared at species aggregated to GSA. Some important differ - , - Published - , - Version 1.1 - , - jrc-stecf-secretariat@ec.europa.eu - , - 14.4 - , - Fish abundance and distribution - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1801", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1801", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1801", "url": "https:\/\/hdl.handle.net\/11329\/1801" }, "author": [ { "@type": "Person", "name": "Simmonds, John" }, { "@type": "Person", "name": "Bitetto, Isabella" }, { "@type": "Person", "name": "Cikes Kec, Vanja" }, { "@type": "Person", "name": "Guijarro, Beatriz" }, { "@type": "Person", "name": "Isajlovic, Igor" }, { "@type": "Person", "name": "Ligas, Alessandro" }, { "@type": "Person", "name": "Mantopoulou Palouka, Danai" }, { "@type": "Person", "name": "Mannini, Alessandro" }, { "@type": "Person", "name": "Maynou, Francesc" }, { "@type": "Person", "name": "Moutopoulos, Dimitrios" }, { "@type": "Person", "name": "Murenu, Matteo" }, { "@type": "Person", "name": "Musumeci, Claudia" }, { "@type": "Person", "name": "Pierucci, Andrea" }, { "@type": "Person", "name": "Pinto, Cecilia" }, { "@type": "Person", "name": "Sala, Antonello" }, { "@type": "Person", "name": "Sbrana, Mario" }, { "@type": "Person", "name": "Ticina, Vjekoslav" }, { "@type": "Person", "name": "Touloumis, Konstantinos" }, { "@type": "Person", "name": "Tsikliras, Athanassios" } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Fisheries management", "Stock assessment", "Stock assessment", "Parameter Discipline - Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/404", "name": "Field Manuals for Marine Sampling to Monitor Australian Waters, Version 1. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-918]", "description": " - Australia has one of the world\u2019s largest marine estates that includes many vulnerable habitats and a high biodiversity, with many endemic species crossing a wide latitudinal range. The marine estate is used by a variety of industries including fishing, oil & gas, and shipping, in addition to traditional, cultural, scientific and recreational uses. The Commonwealth government has recently established the Australian Marine Parks (AMPs), the largest network of marine protected areas in the world, complementing existing networks in State and Territory waters. Monitoring the impacts of these uses on the marine environment is a massive shared responsibility that can only be achieved by making the best use of all the information that is collected. Australia now has a number of significant long-term marine monitoring and observing programs, as well as a national ocean data network. Without some common and agreed standards, much of the information collected will not be comparable with other areas or sectors. This may reduce its value to regional and national management, while the individual project or survey may lose the opportunity to interpret results in a regional or national context. We have therefore developed a suite of field manuals for the acquisition of marine benthic (i.e. seafloor) data from a variety of frequently-used sampling platforms so that data can become directly comparable in time and through space, thus supporting nationally relevant monitoring in Australian waters and the development of a monitoring program for the AMP network. This objective integrates with one of the eight high-level priorities identified by the National Marine Science Plan (2015-25): the establishment of national baselines and long-term monitoring. Due to the large geographic area, diverse flora and fauna, and range of environmental conditions represented by the Australian marine estate, a single method of sampling is neither practical nor desirable. For this reason, we present a standard operating procedure (SOP) for each of six key marine benthic sampling platforms that were identified based on their frequency of use in previous sampling and monitoring programs, as well as a pilot pelagic sampling platform included due to its similarity with benthic BRUVs: \uf0b7 Multibeam sonar (MBES) provides bathymetry and backscatter data that are used to map the seafloor. \uf0b7 Autonomous Underwater Vehicles (AUVs) acquire high-resolution continuous imagery of the seafloor and its associated habitats and organisms. \uf0b7 Benthic Baited Remote Underwater Video (BRUV) systems acquire video of demersal fish attracted to a baited camera system dropped to the seafloor. \uf0b7 Pelagic BRUVs acquire video of pelagic fish and other fauna that are attracted to a baited camera system suspended in the water column. This platform is included as an emergent sampling method for pelagic ecosystems. \uf0b7 Towed cameras acquire video or still imagery of the seafloor and its associated habitats and organisms. \uf0b7 Grabs and box corers collect sediment samples that can be analysed for biological, geochemical, or sedimentological variables. \uf0b7 Sleds and trawls collect benthic or demersal fauna near the seafloor. The main challenge in the development of these manuals was to find a balance between being overly prescriptive (such that people prefer to follow their own protocol and ignore the manuals) and overly flexible (such that data is not consistent and therefore not comparable). A collaborative approach was paramount to addressing this concern. Ultimately, over 70 individuals from over 30 organisations contributed to the field manual package. By engaging researchers, managers, and technicians from multiple agencies with a variety of experience, sea time, and subject matter expertise, we strove to ensure the field manuals represented the broader marine science community of Australia. This not only improved the content but also increased the potential for adoption across multiple agencies and monitoring programs. Future work is based on the understanding that SOPs should be periodically checked and revised, lest they become superseded or obsolete. Resources are available to develop a Version 2 of this field manual package, due for completion in late 2018, following additional community consultation and input. As part of this version, a long-term plan for managing the field manuals will be developed, including maintenance, version control, and the scoping of further SOPs as new sampling platforms are ready for use in monitoring programs. - , - Published - , - Refereed - , - Current - , - 14.2, 14.A - , - Benthic invertebrate abundance and distribution - , - Macroalgal canopy cover - , - Seagrass cover - , - Hard coral cover and composition - , - Fish abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Manual - , - 2018-05 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/404", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/404", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/404", "url": "https:\/\/hdl.handle.net\/11329\/404" }, "contributor": [ { "@type": "Organization", "name": "NESP Marine Biodiversity Hub" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Parameter Discipline::Environment", "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::beam trawls", "Instrument Type Vocabulary::benthos samplers", "Instrument Type Vocabulary::manual biota samplers", "Instrument Type Vocabulary::multi-beam echosounders", "Instrument Type Vocabulary::sediment grabs", "Data Management Practices::Data acquisition", "Data Management Practices::Data delivery", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1085", "name": "OGC OWS Context Atom Encoding Standard, Version 1.0.", "description": " - This standard describes the Atom encoding of the OWC Context conceptual model. The goal of this standard is to provide a definition of how to encode a context document, which can be extended to allow a context referencing a fully configured service set to be defined and consistently interpreted by clients. The OGC Web Services Context Document standard (OWS Context) was created to allow a set of configured information resources to be passed between applications primarily as a collection of services (but also potentially in-line content). The objective is to support use cases such as the distribution of search results, the exchange of a set of resources in a common operating picture (COP) or delivery of a set of configured processing services to allow the processing to be reproduced on different nodes. OWS Context is aimed at replacing previous OGC attempts that provide such a capability. Web Map Context (WMC) has been reasonably successful but is limited to WMS. Other work on the Location Organiser Folder (LOF) was also taken into consideration. The concept of OWS Context and the first prototype document was produced as part of OWS-7 [OGC10-035r1], Information Sharing Engineering Report. A principle goal of the OWS Context SWG was to develop an encoding that would appeal to the mass market yet also provide facilities for more advanced uses. OWS-7 originally considered the application of existing encoding standards for OWS Context. The group that has produced this standard has concluded that multiple encoding formats can be defined and that each encoding format will be described in a separate OGC Extension to the Core model. This document concentrates on describing the encoding of the OWS Context Model that is described in abstract terms in a separate document. The goal of OWS Context has been to allow many types of OGC data delivery services to be referenced and therefore exploited (for example, not just OGC Web Map Service but also OGC Web Feature Service, OGC Web Coverage Service and OGC Web Processing Service) but it does not explicitly define the encoding of these services in the core, only the general approach to be used for different types of service interface. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1085", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1085", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1085", "url": "https:\/\/hdl.handle.net\/11329\/1085" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/381", "name": "Sampling and Measuring Helium Isoptopes and Tritium in Seawater .", "description": " - This document is meant to describe the essential elements of sampling and measuring helium isotopes and tritium in seawater. The methods described are those that have been used in our laboratory, and should not be regarded as the only means of making such measurements. Rather, they are provided as a guide for those interested in evaluating or comparing such techniques with others and for understanding the limits of th e measurements and the resulting data. Other summaries of experimental procedures are available in the literature (Jenkins and Clarke, 1976; Clarke et al., 1976; Jenkins, 1981; Lott and Jenkins, 1984; Bayer et al., 1989; Lott and Jenkins, 1998; Stanley, 2007; Stanley et al, 2009). - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/381", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/381", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/381", "url": "https:\/\/hdl.handle.net\/11329\/381" }, "author": [ { "@type": "Person", "name": "Jenkins, W.J" }, { "@type": "Person", "name": "Lott, D.E" }, { "@type": "Person", "name": "Cahill, K" }, { "@type": "Person", "name": "Curtice, J" }, { "@type": "Person", "name": "Landry, P" } ], "keywords": [ "Parameter Discipline::Chemical oceanography::Isotopes", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2545", "name": "ANSI\/ASA S1.20-2012. Procedures for Calibration of Underwater Electroacoustic Transducers.", "description": " - This standard establishes measurement procedures for calibrating underwater electroacoustic transducers. It is a revision of American National Standard S1.20-1988 (R2003). Both primary and secondary calibration procedures are specified for frequencies from a few hertz to a few megahertz. Procedures are specified for determining the measurable characteristics of free-field receive voltage sensitivity, transmitting response, directional response, voltage coupling loss, impedance, and equivalent noise pressure. Measurement uncertainty analysis is introduced for these measurement types, with identification of common error sources. Equations are given for the following derived characteristics: beam pattern, directivity factor and index, equivalent two-way beam width, acoustic power output and level, electrical power input, transmitting efficiency, open-circuit effective bandwidth, and quality factor. Annexes have been included to address: A) free-field calibration in a laboratory tank, B) medium correction factors, C) measurement of sensitivity and response\u2014infrasonic and low audio-frequency range, D) phase of free-field voltage sensitivity via reciprocity method, E) nonlinear effects including cavitation, and F) standard-target method for calibrating active sonars. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2545", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2545", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2545", "url": "https:\/\/hdl.handle.net\/11329\/2545" }, "contributor": [ { "@type": "Organization", "name": "American National Standards Institute, Inc. (ANSI)" } ], "keywords": [ "Transducers", "Calibration", "Measurement uncertainty analysis", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/518", "name": "Remote Sensing in Fisheries and Aquaculture.", "description": " - Satellite remote sensing of ocean colour provides operational information at the required resolution in time and space to be useful for the sustainable management of ocean ecosystems as well as providing information on the linkages between climate-driven changes in the marine environment and the dynamics of fish and ecosystem productivity. Ocean colour remote sensing can be used to aid spatial detection of various species as well as locating target species through the detection of hydrographic features, such as fronts. Furthermore, ocean colour remote sensing can be applied to aquaculture, providing information on water quality, transport of nutrients, sea surface temperature and the detection of harmful algal blooms (HABs). This report documents achievements using Earth observation data for fisheries and aquaculture applications. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: Cedric Bacher, Gary Borstad, Alida Bundy, Emmanuel Chassot, Changsheng Chen, Christopher Clark, Nicholas Dulvy, Rashmin Dwivedi, Paul Fanning, Joao Ferreira, John Field, Alain Fonteneau, Marie-H\u00e9l\u00e8ne Forget, Kevin Friedland, C\u00e9sar Fuentes- Yaco, Jon Grant, Steve Groom, Guoqi Han, Nick Hardman-Mountford, Johanna Heymans, Nicolas Hoepffner, Evan Howell, Chuanmin Hu, Kimberly Hyde, Hidetada Kiyofuji, Donald Kobayashi, Peter Koeller, David Kulka, Beena Kumari, Masahiro Kuno, Alan Longhurst, Vivian Lutz, Satsuki Matsumura, Bruce Monger, Jesus Morales, Shailesh Nayak, Jay O\u2019Reilly, Daniel Pauly, Daniel Pendleton, Andrew Pershing, Trevor Platt, Jeffrey Polovina, Mini Raman, Nicholas Record, Anne Richards, Cristina Rodriguez-Benito, Sei-Ichi Saitoh, Shubha Sathyendranath, Kenneth Sherman, Himmatsinh Solanki, Venetia Stuart, Fumihiro Takahashi, Maureen Taylor, Cara Wilson and Linda Woodard. IOCCG Report 8 available in Chinese at: http:\/\/ioccg.org\/wp-content\/uploads\/2018\/04\/ioccg-report-8-chinese-sm.pdf - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/518", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/518", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/518", "url": "https:\/\/hdl.handle.net\/11329\/518" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2223", "name": "Guidance on Best Practice for Marine and Coastal Physical Processes Baseline Survey and Monitoring Requirements to inform EIA of Major Development Projects.", "description": " - The purpose of this report is to provide guidance on marine, coastal and estuarine physical processes Environmental Impact Assessment (EIA) baseline survey and monitoring requirements for major development projects, namely: \u2022 Port and harbour developments; \u2022 Aggregate extraction; \u2022 Power stations (including nuclear); \u2022 Offshore wind; \u2022 Other renewable energy developments including: tidal range tidal stream wave \u2022 Sub-sea cables (especially where they make landfall). This has been achieved through a review of existing published guidance relevant to physical processes EIA studies, consideration of project examples (including both planned and operational developments) and from the experience gained by the authors during work on large scale marine developments. For the major developments identified above, pathways for change and potential impacts have been identified for each of the development stages (i.e. construction, operation and decommissioning). An attempt has been made to (qualitatively) determine the potential magnitude of these changes, identifying for which development types and development stages they are likely to be greatest. This is provided as a guide only as site and scale specific consideration is required for each specific development. The report also sets out the likely data requirements for EIA baseline characterisation, under the following topics: \u2022 Hydrodynamics (waves, tidal currents and water levels); \u2022 Sediments, sediment transport and Geology; and \u2022 Topography\/ morphology. The objectives for collecting the data are described and where possible, guidance is given with regards to the spatial and temporal coverage. A key aim here is to help determine the adequacy of existing survey information, data gaps and the requirement (or otherwise) and scope for new data. Since some new data is likely to be required for the major developments considered herein, guidance is provided with regards to good practice for baseline survey design. An overview of the main techniques which may be used to gather baseline information on marine, coastal and estuarine physical processes is set out, including an appraisal of the capabilities and limitations of each technique. Given the uncertainty which is often inherent with any prediction of future morphological change, monitoring is sometimes a necessary requirement for large infrastructure projects. Accordingly, good practice for monitoring is identified. This includes discussion to address the following: \u2022 What are the monitoring objectives\/ hypotheses; \u2022 Which parameters should be investigated; \u2022 How should the parameters of interest be measured; \u2022 The time of year\/ frequency with which the parameter will be measured; \u2022 The establishment of review periods providing the ability to stop or modify the monitoring exercise if the measurements suggest no change; \u2022 The identification of appropriate thresholds of change; and \u2022 Identification of remedial action. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2223", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2223", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2223", "url": "https:\/\/hdl.handle.net\/11329\/2223" }, "author": [ { "@type": "Person", "name": "Brooks, Anthony" }, { "@type": "Person", "name": "Whitehead, Peter" }, { "@type": "Person", "name": "Lambkin, David" } ], "contributor": [ { "@type": "Organization", "name": "Natural Resources Wales" } ], "keywords": [ "Environment Impact Assessement", "Coastal zone management", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1787", "name": "Slocum Gliders Provide Accurate Near Real-Time Estimates of Baleen Whale Presence From Human-Reviewed Passive Acoustic Detection Information.", "description": " - Mitigating the effects of human activities on marine mammals often depends on monitoring animal occurrence over long time scales, large spatial scales, and in real time. Passive acoustics, particularly from autonomous vehicles, is a promising approach to meeting this need. We have previously developed the capability to record, detect, classify, and transmit to shore information about the tonal sounds of baleen whales in near real time from long-endurance ocean gliders. We have recently developed a protocol by which a human analyst reviews this information to determine the presence of marine mammals, and the results of this review are automatically posted to a publicly accessible website, sent directly to interested parties via email or text, and made available to stakeholders via a number of public and private digital applications. We evaluated the performance of this system during two 3.75-month Slocum glider deployments in the southwestern Gulf of Maine during the spring seasons of 2015 and 2016. Near real-time detections of humpback, fin, sei, and North Atlantic right whales were compared to detections of these species from simultaneously recorded audio. Data from another 2016 glider deployment in the same area were also used to compare results between three different analysts to determine repeatability of results both among and within analysts. False detection (occurrence) rates on daily time scales were 0% for all species. Daily missed detection rates ranged from 17 to 24%. Agreement between two trained novice analysts and an experienced analyst was greater than 95% for fin, sei, and right whales, while agreement was 83\u201389% for humpback whales owing to the more subjective process for detecting this species. Our results indicate that the presence of baleen whales can be accurately determined using information about tonal sounds transmitted in near real-time from Slocum gliders. The system is being used operationally to monitor baleen whales in United States, Canadian, and Chilean waters, and has been particularly useful for monitoring the critically endangered North Atlantic right whale throughout the northwestern Atlantic Ocean. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - International - , - Species Populations - , - Species Traits - , - Marine Habitats - , - Passive Acoustic Recorders - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1787", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1787", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1787", "url": "https:\/\/hdl.handle.net\/11329\/1787" }, "author": [ { "@type": "Person", "name": "Baumgartner, Mark" }, { "@type": "Person", "name": "Bonnell, Julianne" }, { "@type": "Person", "name": "Corkeron, Peter" }, { "@type": "Person", "name": "Van Parijs, Sofie" }, { "@type": "Person", "name": "Hotchkin, Cara" }, { "@type": "Person", "name": "Hodges, Ben A." }, { "@type": "Person", "name": "Bort Thornton, Jacqueline" }, { "@type": "Person", "name": "Mensi, Bryan L." }, { "@type": "Person", "name": "Bruner, Scott M." } ], "keywords": [ "BioICE", "IOOS Marine Life", "Environment", "Passive acoustic recording systems", "Data acquisition", "Data analysis", "Data exchange", "Data delivery", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2374", "name": "Ocean Data Standards Volume 6: SeaDataNet Cruise Summary Report (CSR) metadata model for Cruise Reporting (including SeaDataNet CSR metadata profile, V5.2.0).", "description": " - Scope: Proposal to acknowledge SeaDataNet Cruise Summary Report (CSR) metadata profile of ISO 19115 and ISO 19115-2 as a standard metadata model for the documentation of cruise reports. In particular, the proposal aims to promote CSR as a regional (i.e. European) standard. The SeaDataNet infrastructure, its standards, services and products started to build since the mid-1990s under the EU MAST Programmes with the precursor EDMED, EURONODIM, MEDATLAS projects and continued with the EU-FP5 SeaSearch project (2002-2005). Under EU-FP6 Programme, the distributed SeaDataNet system was set up (2006-2011) and continued into its second phase under the EU-FP7 SeaDataNet II project (2011-2015). In the EU HORIZON 2020 SeaDataCloud project, the infrastructure is being upgraded and expanded making use of cloud services, High Performance Computing technology and taking into account the European Open Science Cloud (EOSC) challenge. A CSR is used to document a cruise and its related field experiments at sea. SeaDataNet CSR has been drafted and published as a metadata community profile of ISO 19115 and ISO 19115-2 by SeaDataNet, the leading infrastructure in Europe for marine & ocean data management. Its wide implementation, both by data centres within SeaDataNet and by external organizations makes it also a de-facto standard in the Europe region. The acknowledgement of SeaDataNet CSR as a standard data model by IODE\/JCOMM will further favour interoperability and data management in the Marine and Oceanographic community. Envisaged publication type: The proposal target audience includes all the European bodies, programs, and projects that report research cruises and field experiments at sea. Besides, the proposed document informs all the international community dealing with cruise reports about the SeaDataNet CSR metadata model. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2374", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2374", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2374", "url": "https:\/\/hdl.handle.net\/11329\/2374" }, "author": [ { "@type": "Person", "name": "Schaap, D.M.A." }, { "@type": "Person", "name": "Tamm, S." }, { "@type": "Person", "name": "Tosello, V." }, { "@type": "Person", "name": "Boldrini, E." }, { "@type": "Person", "name": "Nativi, S." }, { "@type": "Person", "name": "Fichaut, M." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data model", "Cruise reports", "Cross-discipline", "Data exchange", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/527", "name": "Ocean Colour Remote Sensing in Polar Seas.", "description": " - Accelerating climate change calls for a vastly improved understanding of the polar ecosystems based on an intensive observation program. In situ observations from ships are, however, inherently sparse in space and time, especially in the harsh and inaccessible Arctic Ocean. Ocean colour remote sensing offers one of the most appropriate tools to extensively monitor marine ecosystems, as it can provide recurrent pan-Arctic and pan-Antarctic observations at relatively low cost. The use of ocean colour remote sensing in Polar Regions is impeded by a number of intrinsic limitations including the persistence of cloud and fog, prevailing low solar elevations, the impact of ice on remotely-sensed reflectance and the optical complexity of seawater, especially over the Arctic shelves. This report sheds light on the impact of the unusual conditions found in polar regions on ocean colour products. Current ocean colour algorithms are tested using a compiled dataset of in situ observations of optical properties in polar seas. Recommendations are made and new approaches and concepts for studying the polar regions using ocean colour remote sensing are proposed. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: Kevin Arrigo, Marcel Babin, Simon B\u00e9langer, Josefino Comiso, Marie-H\u00e9l\u00e8ne Forget, Robert Frouin, Cl\u00e9mence Goyens, Victoria Hill, Toru Hirawake, Atsushi Matsuoka, B. Greg Mitchell, Don Perovich, Rick A. Reynolds, Knut Stamnes and Menghua Wang. - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/527", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/527", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/527", "url": "https:\/\/hdl.handle.net\/11329\/527" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1808", "name": "Gear marking in Indonesian small-scale fisheries: a Pilot Project Case Study.", "description": " - Abandoned, lost or otherwise discarded fishing gear (ALDFG), also known as \u2018ghost gear\u2019 accounts for approximately 10% of marine debris and has serious impacts on marine wildlife, habitats and fish stocks. ALDFG may result in reduced profits when it continues to fish (\u2018ghost fishing\u2019) and increased operational costs for vessel owners\/operators and authorities through the replacement of lost gear and retrieval efforts. ALDFG also represents a navigational and safety at sea issue. As a global community, we all depend on our oceans and the health of the marine life within them. Oceans drive our climate, supply us with food, provide livelihoods, and play a critical social, environmental and economic role for us. But they are increasingly inundated with marine debris, restricting their ability to perform these crucial functions. During COFI 32 the Committee instructed FAO to conduct a number of pilot projects to explore the feasibility of gear marking, particularly in developing countries, and ghost gear retrieval. - , - Published - , - Current - , - 14.1 - , - Marine debris - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1808", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1808", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1808", "url": "https:\/\/hdl.handle.net\/11329\/1808" }, "contributor": [ { "@type": "Organization", "name": "Global Ghost Gear Initiative" } ], "keywords": [ "Fishing gear", "Abandoned, lost or otherwise discarded fishing gear (ALDFG),", "Marine debris", "Human activity", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1998", "name": "Guideline on the determination of Perfluoroalkylated substances (PFAS) in seawater.", "description": " - Perfluorooctane sulphonic acid (PFOS), perfluorooctanoic acid (PFOA) and other per- and polyfluoroalkyl substances (PFASs) are considered global environmental contaminants. PFOS and PFOA are chemically and biologically inert and very stable (Poulsen et al. 2005). PFOS meets the P (persistent) and vP (very persistent) criteria due to very long half lifes. PFOS is also bioaccumulative (B) and toxic (T) (OSPAR 2005). PFOA is considered as very persistent (vP) and toxic (T), but not bioaccumulative (Van der Putte et al. 2010). Both have the capacity to undergo long-range transportation. These guidelines concentrate on the sampling, extraction and instrumental analysis of per- and polyfluoroalkyl substances (PFASs) from seawater and also address special aspects of the sampling matrix. Currently, there are no HELCOM monitoring guidelines for PFASs in biota and sediments but information can be found in Ahrens, L., Vorkamp, K., Lepom, P., Bersuder, P., Theobald, N., Ebinghaus, R., Bossi, R., Barber, J. L., McGovern, E. 2010. Determination of perfluoroalkyl compounds in water, sediment, and biota. ICES Techniques in Marine Environmental Sciences No. 48. 16 pp. These guidelines provide advice for the analysis of per- and polyfluoroalkyl substances in total seawater which basically includes the following steps: i) sampling, ii) extraction and clean-up, and iii) instrumental analysis and quantificationThe extraction and preconcentration of the PFASs is a crucial step in the procedure as the expected concentrations in seawater are often only in the pg L-1 range. Extraction and enrichment are usually conducted through solid phase extraction (SPE). - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1998", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1998", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1998", "url": "https:\/\/hdl.handle.net\/11329\/1998" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Hazardous substances", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/289", "name": "Manual for Quality Control of Temperature and Salinity Data Observations from Gliders. Version 1.0.", "description": " - This manual describes the tests required to ensure the quality control (QC) of real-time data collected by sensors attached to profiling gliders. Profiling gliders are self-propelled (buoyancy driven), autonomous underwater vehicles (AUVs) that are deployed for days-to-months and profile the water column collecting environmental data. The Constraints and Applications section describes the most frequently used gliders, and has a partial list of the organizations that provide data to the U.S. IOOS Glider Data Assembly Center (DAC). The Quality Control section provides details about how the tests described in U.S. IOOS (2015) can be implemented. Specifically, the tests in section 3.3.2 of that manual, Applications of QC Tests to Mobile Temperature\/Salinity Sensors, are used as the starting point for this QC manual for real-time data collected from glider platforms. The Summary and References sections provide an overview of the tests and full citations of references used in development of this manual. Appendix A contains the names of the manual preparation team; appendix B describes real-time temperature and salinity alignment challenges. Appendix C and appendix D provide information about other QC programs and are used with permission from the Naval Oceanographic Office and the University of Washington School of Oceanography\/Applied Physics Laboratory, respectively. Includes: Appendix D. Seaglider Quality Control Manual, Version 1.13. Univ Washington, School of Oceanography, 2016 - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/289", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/289", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/289", "url": "https:\/\/hdl.handle.net\/11329\/289" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System, U.S. Integrated Ocean Observing System, Glider Data Assembly Center" } ], "keywords": [ "QARTOD", "IOOS", "Temperature measurement", "Salinity measurement", "Gliders", "AUV", "Autonomous underwater vehicle (AUV)", "Physical oceanography", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2264", "name": "The power of multi-matrix monitoring in the Pan-Arctic region: plastics in water and sediment.", "description": " - Litter and microplastic assessments are being carried out worldwide. Arctic ecosystems are no exception and plastic pollution is high on the Arctic Council's agenda. Water and sediment have been identified as two of the priority compartments for monitoring plastics under the Arctic Monitoring and Assessment Programme (AMAP). Recommendations for monitoring both compartments are presented in this publication. Alone, such samples can provide information on presence, fate, and potential impacts to ecosystems. Together, the quantification of microplastics in sediment and water from the same region produce a three-dimensional picture of plastics, not only a snapshot of floating or buoyant plastics in the surface water or water column but also a picture of the plastics reaching the shoreline or benthic sediments, in lakes, rivers, and the ocean. Assessment methodologies must be adapted to the ecosystems of interest to generate reliable data. In its current form, published data on plastic pollution in the Arctic is sporadic and collected using a wide spectrum of methods which limits the extent to which data can be compared. A harmonised and coordinated effort is needed to gather data on plastic pollution for the Pan-Arctic. Such information will aid in identifying priority regions and focusing mitigation efforts. - , - Refereed - , - FRENCH-----------------Des \u00e9valuations des d\u00e9chets et des microplastiques sont effectu\u00e9es dans le monde entier. Les \u00e9cosyst\u00e8mes arctiques ne font pas exception et la pollution plastique figure en bonne place dans le programme du Conseil de l\u2019Arctique. L\u2019eau et les s\u00e9diments ont \u00e9t\u00e9 identifi\u00e9s comme deux des compartiments prioritaires pour la surveillance des plastiques dans le cadre du Programme de surveillance et d\u2019\u00e9valuation de l\u2019Arctique (AMAP, Arctic Monitoring and Assessment Programme). Des recommandations pour la surveillance de ces deux compartiments sont pr\u00e9sent\u00e9es dans cette publication. Pris s\u00e9par\u00e9ment, ces \u00e9chantillons peuvent fournir des informations sur la pr\u00e9sence, le devenir et les impacts potentiels sur les \u00e9cosyst\u00e8mes. Ensemble, la quantification des microplastiques dans les s\u00e9diments et l\u2019eau d\u2019une m\u00eame r\u00e9gion produit une image tridimensionnelle des plastiques, non seulement un instantan\u00e9 des plastiques flottants \u00e0 la surface ou dans la colonne d\u2019eau, mais aussi une image des plastiques atteignant le littoral ou les s\u00e9diments benthiques, dans les lacs, les rivi\u00e8res et l\u2019oc\u00e9an. Les m\u00e9thodologies d\u2019\u00e9valuation doivent \u00eatre adapt\u00e9es aux \u00e9cosyst\u00e8mes d\u2019int\u00e9r\u00eat pour g\u00e9n\u00e9rer des donn\u00e9es fiables. Dans leur forme actuelle, les donn\u00e9es publi\u00e9es sur la pollution plastique dans l\u2019Arctique sont sporadiques et recueillies \u00e0 l\u2019aide d\u2019un large \u00e9ventail de m\u00e9thodes, ce qui limite la possibilit\u00e9 de comparer les donn\u00e9es. Un effort harmonis\u00e9 et coordonn\u00e9 est n\u00e9cessaire pour recueillir des donn\u00e9es sur la pollution plastique dans la r\u00e9gion panarctique. Ces informations permettront d\u2019identifier les r\u00e9gions prioritaires et de concentrer les efforts d\u2019att\u00e9nuation. [Traduit par la R\u00e9daction] - , - 14.1 - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2264", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2264", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2264", "url": "https:\/\/hdl.handle.net\/11329\/2264" }, "author": [ { "@type": "Person", "name": "Martin, Jake" }, { "@type": "Person", "name": "Granberg, Maria" }, { "@type": "Person", "name": "Provencher, Jennifer F." }, { "@type": "Person", "name": "Liborion, Max" }, { "@type": "Person", "name": "Pijogge, Liz" }, { "@type": "Person", "name": "Magnusson, Kerstin" }, { "@type": "Person", "name": "Hallanger, Ingeborg G." }, { "@type": "Person", "name": "Bergmann, Melanie" }, { "@type": "Person", "name": "Aliani, Stefano" }, { "@type": "Person", "name": "Gomiero, Alessio" }, { "@type": "Person", "name": "Grosvik, Bjorn Einar" }, { "@type": "Person", "name": "Vermaire, Jesse" }, { "@type": "Person", "name": "Primpke, Sebastian" }, { "@type": "Person", "name": "Lusher, Amy L." } ], "keywords": [ "Microplastics", "Marine plastics", "Plastic litter", "Environmental sampling", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/224", "name": "ICES Guidelines for Water Level Data. (Compiled August 1999, revised August 2001, revised May 2006).", "description": " - In the context of this guideline, water level data are considered to be measurements taken from digital or analogue gauges positioned at the waters edge. In some locations, water level measurements date back to the late 1800's and thus represent an important long time scale oceanographic measurement. - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/224", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/224", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/224", "url": "https:\/\/hdl.handle.net\/11329\/224" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Sea level measurement", "Data processing", "Data management", "Gauge", "", "", "" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2611", "name": "Towards a best practice in acoustic telemetry mooring design.", "description": " - This document presents trialled and tested, best practice methods for the subsea deployment of acoustic telemetry equipment developed by two of the world\u2019s longest operating animal telemetry networks, the Ocean Tracking Network (OTN, www.oceantrackingnetwork.org) and the Animal Tracking Facility of Australia\u2019s Integrated Marine Observing System (IMOS, https:\/\/imos.org.au\/facility\/animal-tracking\/acoustic-telemetry). Over the past two decades, these two telemetry networks have implemented and refined methods for the safe and optimal deployment of subsea equipment in their respective regions of operation and in diverse marine systems (i.e. from estuarine coastal sites to deep offshore waters). Drawing on the lessons learned, this document presents the rationales for particular mooring configurations and deployments, as well as a decision tree to aid users in determining the optimal mooring design for their sites. A selection of case studies spanning estuarine, coastal and offshore marine environments is provided to exemplify the mooring design process. The objectives of this document are to inform safe field operations, optimum resource use and generation of the highest-quality acoustic telemetry data. This is intended to be a living document, and will be updated and refined as new robust advances in the deployment of acoustic telemetry equipment are made. We encourage interested researchers to submit an Issue via the dedicated GitHub page https:\/\/github.com\/ocean-tracking-network\/OBPSmoorings to discuss their respective approaches, and help refine the contents of this document. - , - OTN\u2019s infrastructure and core operations are supported through the Canada Foundation for Innovation's Major Sciences Initiatives Fund. OTN also receives funding from the National Sciences and Engineering Research Council of Canada, Research Nova Scotia, Transport Canada, and Fisheries and Oceans Canada, along with support from many other partners and collaborators around the world. The expansive efforts that have resulted in acoustic mooring best practices are made possible by the funding and institutions that have supported OTN in its continued success. OTN would also like to thank its field team members \u2014 both past and present \u2014 for maintaining and expanding the global tracking infrastructure that underpins the organization\u2019s mission and vision. IMOS is enabled by Australia\u2019s National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. - , - Published - , - Contributor: John Smith Editor Megan Shier - , - Refereed - , - Current - , - 14.a - , - Fish Abundance and Distribution - , - Sea Turtles Abundance and Distribution - , - Marine Mammal Abundance and Distribution - , - Mature - , - Multi-organisational - , - International - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2611", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2611", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2611", "url": "https:\/\/hdl.handle.net\/11329\/2611" }, "author": [ { "@type": "Person", "name": "Hartery, Cassandra" }, { "@type": "Person", "name": "Bowen, Emma" }, { "@type": "Person", "name": "Bate, Caitlin" }, { "@type": "Person", "name": "McDowall, Phil" }, { "@type": "Person", "name": "van den Broek, James" }, { "@type": "Person", "name": "Whoriskey, Frederick" }, { "@type": "Person", "name": "Jaine, Fabrice" } ], "contributor": [ { "@type": "Organization", "name": "Ocean Tracking Network (OTN) and Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Acoustic telemetry", "Mooring design", "Fish telemetry", "Telemetry equipment", "Fisheries and aquaculture", "acoustic tracking systems" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/306", "name": "Manual on Sea-level Measurements and Interpretation, Volume V: Radar Gauges. [includes Supplement Practical Experiences]", "description": " - Volume 5 which is devoted specifically to \u2018Radar Tide Gauges\u2019. Radar range finders have been used in industry (where they measure the levels of liquids in tanks) and hydrology (for measuring river, lake and reservoir levels) for many years and, in the decade since Volume 4, have been applied to measuring sea level at many locations. They have already replaced the previous tide gauge technologies in many countries. Their low cost (in most cases) and the fact that they are relatively easy to install and maintain mean that they have been the technology of choice whenever new sites have been instrumented or older ones refurbished. They can be interfaced easily to data loggers and telemetry platforms, such that their data can be displayed almost instantly at centres around in the world. However, many questions remain as to their suitability for sea level monitoring within national and international networks such as GLOSS. At the 13th meeting of the GLOSS Group of Experts in Liverpool in November 2013, a new edition of the Manual was proposed that would focus on this particular technology and problems with its use... - , - Published - , - This report has a Supplement titled Practical Experiences - , - Refereed - , - Current - , - Sea surface height - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/306", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/306", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/306", "url": "https:\/\/hdl.handle.net\/11329\/306" }, "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Comission of UNESCO" } ], "keywords": [ "Tide gauges", "Sea level measurement", "GLOSS", "Radar gauges", "Telemetry", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::sea level recorders", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/698", "name": "Common diseases and parasites of fish in the North Atlantic: Training guide for identification.", "description": " - During the past 20 years, there has been an increasing number of field surveys investigating the occurrence and distribution of fish diseases as a tool for monitoring the effects of environmental changes, including marine pollution. Fish diseases are considered to be an appropriate indicator in this context because the outbreak of a disease represents an end-point of biological significance integrating all environmental factors affecting fish health. In the beginning of the 1980s it was felt, in the scientific community involved in fish disease studies, that it would be useful on an international basis to compare and combine the results of the different groups studying fish diseases. This would then present an overall picture and evaluation of the health status of fish populations in the study areas. However, it was soon realized that the results on disease prevalences available for different fish species and different areas were often derived from studies using non-standardized methodologies; thus, the results were not comparable. To meet this problem, two ICES Sea-going Workshops on the Methodology of Fish Disease Surveys were held, in 1984 and 1988, initiated by the ICES Working Group on Pathology and Diseases of Marine Organisms (WGPDMO) (Dethlefsen et al., 1986; ICES, 1989). The major aims of these workshops were to set up recommendations for standardized methods for sampling, diagnosis, and reporting of fish diseases. Such standardization would enable investigators to meet minimum requirements which would allow international comparisons of long-term trends in spatial and temporal distribution patterns. Arising from the workshops, the WGPDMO decided in 1990 that it would be useful to produce this Training Guide for the Identification of Common Diseases and Parasites of Fish in the North Atlantic, which should be published in a way that it could be used during work on board research vessels or under other field conditions. The objectives of this Training Guide are to summarize the recommendations and conclusions of the Sea-going Workshops and, in order to enable a proper diagnosis, to present a set of photographs showing selected examples of common diseases in major fish species of the North Atlantic. This Training Guide gives advice to specialists and non-specialists on the following topics: \u2022 fish species suitable for disease monitoring; \u2022 sampling procedures; \u2022 disease examination procedures; \u2022 diseases useful for monitoring purposes and their diagnosis and classification; \u2022 reporting of results; \u2022 statistical methods applicable for data analysis. The procedures recommended and diseases illustrated in this Training Guide are mainly based on bottom trawl catches from the North Sea. However, investigators should be able to adapt the model to their own local situations, if necessary. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/698", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/698", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/698", "url": "https:\/\/hdl.handle.net\/11329\/698" }, "author": [ { "@type": "Person", "name": "Bucke, D." }, { "@type": "Person", "name": "Vethaak, D." }, { "@type": "Person", "name": "Lang, T." }, { "@type": "Person", "name": "Mellergaard, S." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2632", "name": "Reef Life Survey Image Annotation Protocol. Version 2.0.", "description": " - Reef Life Survey (RLS) is a non-profit global citizen science program in which trained SCUBA divers undertake standardised underwater visual surveys of reef biodiversity. The survey data collected includes visual census of fish and macroinvertebrates underwater along 50m transects. At the same time, photographs of the seafloor habitat are taken every 2.5m along each transect. These photoquadrats (PQs) for each survey are available to view, annotate and download via the online platform Squidle+ and the RLS online image server. More information on RLS underwater methods is available via the methods manual, or visit www.reeflifesurvey.com, or email enquiries@reeflifesurvey.com Squidle+ is used by Reef Life Survey (RLS) to access and annotate photoquadrat images in order to document habitat composition at sites and track changes in habitat cover indicators over time. Squidle+ is an online platform to manage, explore and annotate large volumes of underwater imagery in a collaborative fashion. It supports standardisation and translation of annotation data, QA\/QC, data sharing, integration of machine learning algorithms, as well as efficient data export and compilation via an API. Although various methods in image annotation are possible, this protocol provides a method of producing standardised habitat cover data compatible with previous work. This allows data synthesis over broad scales, contributing to downstream platforms for reef reporting, such as the Reef Life Explorer, and enhancing the Findability, Accessibility, Interoperability and Reusability (FAIR) of data. - , - Published - , - Refereed - , - Current - , - 14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development::14.2 By 2020, sustainably manage and protect marine and coastal ecosystems to avoid significant adverse impacts, including by strengthening their resilience, and take action for their restoration in order to achieve healthy and productive oceans - , - Fish abundance and distribution - , - Coral cover and composition - , - Seagrass cover and composition - , - Macroalgal canopy cover and composition - , - Benthic invertebrate abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Species distributions - , - Species abundances - , - Community abundance - , - Live cover fraction - , - Ecosystem distribution - , - Marine Habitats - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2632", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2632", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2632", "url": "https:\/\/hdl.handle.net\/11329\/2632" }, "author": [ { "@type": "Person", "name": "Oh, Elizabeth" }, { "@type": "Person", "name": "Cooper, Antonia" } ], "contributor": [ { "@type": "Organization", "name": "Hobart, Australia" } ], "keywords": [ "Underwater photography", "underwater cameras", "Data analysis", "Data archival\/stewardship\/curation", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1337", "name": "Estimating Uncertainties in Oceanographic Trace Element Measurements.", "description": " - A realistic estimation of uncertainty is an essential requirement for all analytical measurements. It is common practice, however, for the uncertainty estimate of a chemical measurement to be based on the instrumental precision associated with the analysis of a single or multiple samples, which can lead to underestimation. Within the context of chemical oceanography such an underestimation of uncertainty could lead to an over interpretation of the result(s) and hence impact on, e.g., studies of biogeochemical cycles, and the outputs from oceanographic models. Getting high quality observational data with a firm uncertainty assessment is therefore essential for proper model validation. This paper describes and compares two recommended approaches that can give a more holistic assessment of the uncertainty associated with such measurements, referred to here as the \u201cbottom up\u201d or modeling approach and the \u201ctop down\u201d or empirical approach. \u201cBest practice\u201d recommendations for the implementation of these strategies are provided. The \u201cbottom up\u201d approach combines the standard uncertainties associated with each stage of the entire measurement procedure. The \u201ctop down\u201d approach combines the uncertainties associated with day to day reproducibility and possible bias in the complete data set and is easy to use. For analytical methods that are routinely used, laboratories will have access to the information required to calculate the uncertainty from archived quality assurance data. The determination of trace elements in seawater is a significant analytical challenge and iron is used as an example for the implementation of both approaches using real oceanographic data. Relative expanded uncertainties of 10 \u2013 20% were estimated for both approaches compared with a typical short term precision (rsd) of less than or equal to 5%. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Best Practice - , - 2018-04-19 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1337", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1337", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1337", "url": "https:\/\/hdl.handle.net\/11329\/1337" }, "author": [ { "@type": "Person", "name": "Worsfold, Paul J." }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Birchill, Antony J." }, { "@type": "Person", "name": "Clough, Robert" }, { "@type": "Person", "name": "Leito, Ivo" }, { "@type": "Person", "name": "Lohan, Maeve C." }, { "@type": "Person", "name": "Milne, Angela" }, { "@type": "Person", "name": "Ussher, Simon J." } ], "keywords": [ "Uncertainty estimation", "Metrology", "Trace elements", "Empirical approach", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements", "Modelling approach" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1201", "name": "Recommendations for plankton measurements on the GO-SHIP program with relevance to other sea-going expeditions. SCOR Working Group 154 GO-SHIP Report. [GOOS ENDORSED PRACTICE]", "description": " - Tracking how ocean life is responding to increased human use and climate change will empower the global community to predict, mitigate, and manage our ocean. In this document we demonstrate the existence of mature technologies to measure \u2018biology\u2019 as a combination of biomass and diversity indicators across the plankton size spectrum. These are now ready to deploy within the GO-SHIP constraints - , - Published - , - SCOR WG members: Emmanuel Boss, Anya M Waite, Julia Uitz, Silvia G. Acinas, Heidi M. Sosik, Katja Fennel, Ilana Berman-Frank, Marcela Cornejo, Sandy Thomalla, Hidekatsu Yamazaki, Sonia Batten, Jorgen Berg, Herv\u00e9 Claustre, G\u00e9rald Gr\u00e9gori, Johannes Kartensen, Frank Muller-Karger, Anthony Richardson, Bernadette Sloyan, Rik Wanninkhof. Experts on pigments and elemental analysis: Jos\u00e9phine Ras, C\u00e9line Dimier, Ivona Cetini\u0107, Lucile Dufor\u00eat, Lesley Clemenston. Experts on genetic sampling and analysis: Isabel Ferrera, Josep M. Gasol, Ramon Massana, Pablo S\u00e1nchez, Marta Sebasti\u00e1n, Shinichi Sunagawa, Laurence Garczarek, Colomban de Vargas, Stephane Pesant, Mathew Sullivan. Expert on quantitative imaging: Lionel Guidi, Rainer Kiko, Michael Kloster, Barbara Niehoff. Experts on flow cytometery: Lisa Campbell, Mike Brosnahan, Nicole Poulton, Dominique Marie. Experts on Bio-acoustical sensors: Peter Gaube, Ryan Downie, Rudy Kloser, Wu-Jung Lee, Mei Sato. Experts on Bio-optical sensors: Collin Roesler, Giorgio Dall\u2019Olmo, Wayne Slade, Michael Twardowski, Wilford Gardner, Nathan Briggs, Xiaogang Xing, Emanuelle Organelli, Robert Frouin, Benedetto Barone, Andrew McDonnel, Yangyang Liu, Alison Chase. Additional experts consulted: Patricia Miloslavich, Fabien Lombard, Michael Behrenfeld, Peter Jumars, Lee Karp-Boss. We acknowledge reviews of the published draft document by Bernadette Sloyan, Rik Wanninkhof, Ed Urban, Jason Graf, Klas Ove Moller, Peer Fietzek, Rudy Kloser, and Richard Feely. Their comments helped improve this protocol significantly. The most substantial issues addressed after these reviews are bio-acoustics and measurements contributing to constrain the biological pump associated with calcifiers. - , - Refereed - , - FRENCH=== Suivre la fa\u00e7on dont la vie oc\u00e9anique r\u00e9agit \u00e0 l'utilisation humaine accrue et au changement climatique permettra \u00e0 la communaut\u00e9 mondiale de pr\u00e9voir, d'att\u00e9nuer et de g\u00e9rer notre oc\u00e9an. Dans ce document, nous d\u00e9montrons l'existence de technologies matures pour mesurer la \u00abbiologie\u00bb en tant que combinaison d'indicateurs de biomasse et de diversit\u00e9 \u00e0 travers le spectre de taille du plancton. Ceux-ci sont maintenant pr\u00eats \u00e0 \u00eatre d\u00e9ploy\u00e9s dans le cadre des contraintes GO-SHIP - , - GERMAN === Wenn wir verfolgen, wie das Leben im Meer auf die zunehmende Nutzung durch den Menschen und den Klimawandel reagiert, wird die Weltgemeinschaft in die Lage versetzt, unseren Ozean vorherzusagen, zu mildern und zu verwalten. In diesem Dokument zeigen wir die Existenz ausgereifter Technologien zur Messung der \u201eBiologie\u201c als Kombination von Biomasse- und Diversit\u00e4tsindikatoren im gesamten Planktongr\u00f6\u00dfenspektrum. Diese k\u00f6nnen nun innerhalb der GO-SHIP-Beschr\u00e4nkungen bereitgestellt werden - , - PORTUGUESE === Rastrear como a vida oce\u00e2nica est\u00e1 respondendo ao aumento do uso humano e \u00e0s mudan\u00e7as clim\u00e1ticas capacitar\u00e1 a comunidade global a prever, mitigar e gerenciar nosso oceano. Neste documento, demonstramos a exist\u00eancia de tecnologias maduras para medir a \"biologia\" como uma combina\u00e7\u00e3o de biomassa e indicadores de diversidade em todo o espectro de tamanho do pl\u00e2ncton. Estes agora est\u00e3o prontos para serem implantados dentro das restri\u00e7\u00f5es do GO-SHIP - , - SPANISH === El seguimiento de c\u00f3mo la vida marina est\u00e1 respondiendo al aumento del uso humano y el cambio clim\u00e1tico permitir\u00e1 a la comunidad mundial predecir, mitigar y gestionar nuestro oc\u00e9ano. En este documento demostramos la existencia de tecnolog\u00edas maduras para medir la \"biolog\u00eda\" como una combinaci\u00f3n de indicadores de biomasa y diversidad en todo el espectro de tama\u00f1o del plancton. Ahora est\u00e1n listos para implementarse dentro de las restricciones de GO-SHIP - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Particulate matter - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - , - Genetic composition - , - Ecosystem phenology - , - Ecosystem distribution - , - Community abundance - , - Species distributions - , - Species abundances - , - Plankton - , - Chlorophyll fluorometer - , - Radiometers (including PAR) - , - ADCP - , - Quantitative echosounders - , - UVP - , - Automated imaging flow cytometery (IFCB) - , - Automated flow cytometery (Cytosense) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1201", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1201", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1201", "url": "https:\/\/hdl.handle.net\/11329\/1201" }, "author": [ { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Waite, Anya M." }, { "@type": "Person", "name": "Uitz, Julia" }, { "@type": "Person", "name": "Acinas, Silvia G." }, { "@type": "Person", "name": "Sosik, Heidi M." }, { "@type": "Person", "name": "Fennel, Katja" }, { "@type": "Person", "name": "Berman-Frank, Ilana" }, { "@type": "Person", "name": "Cornejo, Marcela" }, { "@type": "Person", "name": "Thomalla, Sandy" }, { "@type": "Person", "name": "Yamazaki, Hidekatsu" }, { "@type": "Person", "name": "Batten, Sonia" }, { "@type": "Person", "name": "Berg, Jorgen" }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "Gr\u00e9gori, G\u00e9rald" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Richardson, Anthony" }, { "@type": "Person", "name": "Sloyan, Bernadette" }, { "@type": "Person", "name": "Wanninkhof, Rik" }, { "@type": "Person", "name": "Ras, Jos\u00e9phine" }, { "@type": "Person", "name": "Dimier, C\u00e9line" }, { "@type": "Person", "name": "Cetini\u0107, Ivona" }, { "@type": "Person", "name": "Dufor\u00eat, Lucile" }, { "@type": "Person", "name": "Clemenston, Lesley" }, { "@type": "Person", "name": "Ferrera, Isabel" }, { "@type": "Person", "name": "Gasol, Josep M." }, { "@type": "Person", "name": "Massana, Ramon" }, { "@type": "Person", "name": "S\u00e1nchez, Pablo" }, { "@type": "Person", "name": "Sebasti\u00e1n, Marta" }, { "@type": "Person", "name": "Sunagawa, Shinichi" }, { "@type": "Person", "name": "Garczarek, Laurence" }, { "@type": "Person", "name": "de Vargas, Colomban" }, { "@type": "Person", "name": "Pesant, Stephane" }, { "@type": "Person", "name": "Sullivan. Mathew" }, { "@type": "Person", "name": "Campbell, Lisa" }, { "@type": "Person", "name": "Brosnahan, Mike" }, { "@type": "Person", "name": "Poulton, Nicole" }, { "@type": "Person", "name": "Marie, Dominique" }, { "@type": "Person", "name": "Gaube, Peter" }, { "@type": "Person", "name": "Downie, Ryan" }, { "@type": "Person", "name": "Kloser, Rudy" }, { "@type": "Person", "name": "Lee, Wu-Jung" }, { "@type": "Person", "name": "Sato, Mei" }, { "@type": "Person", "name": "Roesler, Collin" }, { "@type": "Person", "name": "Dall\u2019Olmo, Giorgio" }, { "@type": "Person", "name": "Slade, Wayne" }, { "@type": "Person", "name": "Twardowski, Michael" }, { "@type": "Person", "name": "Gardner, Wilford" }, { "@type": "Person", "name": "Briggs, Nathan" }, { "@type": "Person", "name": "Xing, Xiaogang" }, { "@type": "Person", "name": "Organelli, Emanuelle" }, { "@type": "Person", "name": "Frouin, Robert" }, { "@type": "Person", "name": "Barone, Benedetto" }, { "@type": "Person", "name": "McDonnel, Andrew" }, { "@type": "Person", "name": "Liu, Yangyan" }, { "@type": "Person", "name": "Chase, Alison" }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "Lombard, Fabien" }, { "@type": "Person", "name": "Behrenfeld, Michael" }, { "@type": "Person", "name": "Jumars, Peter" }, { "@type": "Person", "name": "Karp-Boss, Lee" } ], "contributor": [ { "@type": "Organization", "name": "Scientific Committee on Oceanic Research (SCOR)" } ], "keywords": [ "GO-SHIP", "EOV", "EBV", "ECV", "Ocean sensing", "Ocean ecosystem", "Carbon", "Spectral absorption and attenuation", "Angular scattering", "Beam attenuation", "Optical backscattering", "Acoustic backscattering", "Automated imaging of particles and zooplankton", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2005", "name": "HELCOM Guidelines for monitoring continuous noise.", "description": " - Continuous anthropogenic noise may exert a significant pressure on the marine environment due to its constancy and extent over vast areas. Distant ships, wind and rain, are examples of continuous sound sources. Sound from distant ships contributes to the ambient noise in lower frequencies (frequency bands 10 Hz to 1000 Hz), whereas smaller ships and ships at closer distance also add sound pressure at higher frequencies. The sound from ships is caused by the propulsion (propellers), machinery, and by the movement of the ship itself. The relative importance of these three different sources depends amongst other things; on the ship type, speed and load 1\u20133. Wind-induced sound (breaking waves and bubbles) are generated primarily in the band 100 Hz to 30 kHz. Rain produces noise mainly in the band 1 kHz to 10 kHz but also contributes to higher frequencies. Thermal noise resulting from molecular agitation dominates as a source at frequencies higher than 100 kHz. With respect to animal sources, sounds are produced in the frequency range from a few Hz to several 100 kHz. The duration of animal sounds range from very short (a few tens of microseconds) to tens of seconds4,5. For monitoring the ambient noise, including noise from anthropogenic sources, two 1\/3-octave bands centred on 63 Hz and 125 Hz are currently used as proxies for ship noise6. EU Technical Group on Underwater Noise (TG Noise) furthermore recommends including one or more third octave bands in the frequency range up to 20 kHz 6\u20138. During the BIAS project the 2 kHz centre frequency band was included in order to cover the higher frequencies used by marine mammals for communication and orientation 9,10. In the EU Interreg North sea project Joint Monitoring Programme for Ambient Noise North Sea (JOMOPANS), all third-octave frequency bands from 10 Hz to 20 kHz were included to provide coverage of the frequencies used by most marine species, and to allow flexible approaches to subsequent analysis, including auditory weighting to reflect the risk of impact on marine species 11. 1.2 Purpose and aims The aim of these guidelines is to provide a standardized procedure to ensure that the output data from the monitoring are compatible with the HELCOM pre-core indicator \u2018Continuous low frequency anthropogenic sound\u2019 (STATE & CONSERVATION 5-2016, document 4J-2). The procedure for data to the pre-core indicator \u2018Continuous low frequency anthropogenic sound\u2019 is to record ambient noise in the Baltic Sea, process the data to achieve temporal averages for selected frequency bands and store the data nationally. Subsequently, as part of the regional monitoring sub-programme the procedure includes storing the processed data together with modelled maps in a common data-sharing platform and a soundscape planning tool that will be open access. This way, data on measured and modelled sound pressure levels from the monitoring sub-program will provide spatiotemporal information that can be used for assessment of short-term status and long-term trends in sound pressure levels locally and regionally. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2005", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2005", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2005", "url": "https:\/\/hdl.handle.net\/11329\/2005" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Monitoring", "Underwater noise", "Anthropogenic sound", "Acoustics", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2126", "name": "Sensor development templates: User\u2019s Manual.", "description": " - The TechOceanS Sensor Development templates have been developed by the Ocean Technology and Engineering group at NOC and have been reviewed and used by partners in the project. The experience of the team has been crucial in defining the information required in these documents during the development of new technology. The User's Manual also includes the latest information included in sensor manuals, templates from the OBPS and recommendations in the ISO 22013. These templates are open to review from the wider community including metrologists, sensor developers, manufacturers and end users. To send your inputs, please, add the information to the Google Drive folder (https:\/\/drive.google.com\/drive\/folders\/1lTlI2rHQLHtYl1yGhPniPm7mFE7ZGveD?usp=share_link). - , - Technologies for Ocean Sensing (TechOceanS) project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Concept - , - Multi-organisational - , - Sensor Development templates - , - Method - , - Description of a metrology standard - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2126", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2126", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2126", "url": "https:\/\/hdl.handle.net\/11329\/2126" }, "author": [ { "@type": "Person", "name": "L\u00f3pez Garcia, Patricia" }, { "@type": "Person", "name": "Mowlem, Matt C." } ], "contributor": [ { "@type": "Organization", "name": "TehcOceanS Consortium" } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/920", "name": "Good Practice Guide for Improving Accuracy of Dissolved Oxygen Measurements.", "description": " - Dissolved oxygen concentration is a key parameter for characterizing natural and wastewaters and for assessing the global state of the environment in general. The decrease of dissolved oxygen levels in the world\u2019s oceans, which is becoming increasingly obvious, is expected to have an impact on the whole ecosystem of the Earth, including the carbon cycle, the climate, etc. Dissolved oxygen measurements by sensors are often deemed easy measurements by routine laboratories. In reality, the physical and chemical processes underlying the measurements are complex and these measurements are not at all as robust as often considered. Based on the analysis of the results of the intercomparison a set of tools and recommendations are given to the participants of how to improve the quality of their results. - , - European Metrology Research Programme (EMRP), project ENV05 \"Metrology for ocean salinity and acidity\". - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/920", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/920", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/920", "url": "https:\/\/hdl.handle.net\/11329\/920" }, "author": [ { "@type": "Person", "name": "N\u00e4ykki, Teemu" }, { "@type": "Person", "name": "Jalukse, Lauri" }, { "@type": "Person", "name": "Helm, Irja" }, { "@type": "Person", "name": "Leito, Ivo" } ], "contributor": [ { "@type": "Organization", "name": "Finnish Environment Institute, Environmental Measurement and Testing Laboratory" } ], "keywords": [ "Dissolved oxygen", "Interlaboratory comparison", "Sensors", "Quality control", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2227", "name": "Modeling Environmental DNA Transport in the Coastal Ocean Using Lagrangian Particle Tracking.", "description": " - A number of studies have illustrated the utility of environmental DNA (eDNA) for detecting marine vertebrates. However, little is known about the fate and transport of eDNA in the ocean, thus limiting the ability to interpret eDNA measurements. In the present study, we explore how fate and transport processes affect oceanic eDNA in Monterey Bay, CA, United States (MB). Regional ocean modeling predictions of advection and mixing are used for an approximately 10,000 km2 area in and around MB to simulate the transport of eDNA. These predictions along with realistic settling rates and first-order decay rate constants are applied as inputs into a particle tracking model to investigate the displacement and spread of eDNA from its release location. We found that eDNA can be transported on the order of tens of kilometers in a few days and that horizontal advection, decay, and settling have greater impacts on the displacement of eDNA in the ocean than mixing. The eDNA particle tracking model was applied to identify possible origin locations of eDNA measured in MB using a quantitative PCR assay for Northern anchovy (Engraulis mordax). We found that eDNA likely originated from within 40 km and south of the sampling site if it had been shed approximately 4 days prior to sampling. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2227", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2227", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2227", "url": "https:\/\/hdl.handle.net\/11329\/2227" }, "author": [ { "@type": "Person", "name": "Andruszkiewicz, Elizabeth A." }, { "@type": "Person", "name": "Koseff, Jeffrey R." }, { "@type": "Person", "name": "Fringer, Oliver B." }, { "@type": "Person", "name": "Ouellette, Nicholas T." }, { "@type": "Person", "name": "Lowe, Anna B." }, { "@type": "Person", "name": "Edwards, Christopher A." }, { "@type": "Person", "name": "Boehm, Alexandria B." } ], "keywords": [ "Environmental DNA", "Lagrangian particle tracking", "Numerical ocean modeling", "Ocean transport", "Other biological measurements", "Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/317", "name": "Report on current status of Ferrybox: D 3.1. (Version 1.7 - 26\/02\/14)", "description": " - This report provides: 1. A review of the present status of the 16 Ferrybox systems currently operated by JERICO partners. 2. Access to detailed information on the Ferrybox systems on line at the FerryBox project web site (www.ferrybox.org) at the link http:\/\/www.ferrybox.org\/routes\/northern_europe\/index.html.en. 3. A set of recommendations and guidance for setting up a new Ferrybox system, based on the experience of the current status of the operation of Ferrybox systems. Next steps are considered in an overview of potential advances resulting from the work of the JERICO project. - , - European Commission, Joint European Research Infrastructure network for Coastal Observatories (JERICO) Project, Grant Agreement n\u00b0 262584 - , - Published - , - Permission to deposit: Patrick Farcy, Coordinator JERICO Project (jerico@ifremer.fr) - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/317", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/317", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/317", "url": "https:\/\/hdl.handle.net\/11329\/317" }, "author": [ { "@type": "Person", "name": "Hydes, David" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Sorensen, Kai" }, { "@type": "Person", "name": "Jaccard, Pierre" }, { "@type": "Person", "name": "Hartman, Mark" }, { "@type": "Person", "name": "Haller, Michael" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "FerryBox", "Instrument platform", "Sensors", "Chlorophyll measurement", "Fluorescence measurement", "Dissolved oxygen measurement", "Turbidity measurement", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Instrument Type Vocabulary::dissolved gas sensors", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/727", "name": "Protocols for the Performance Verification of In Situ Nutrient Analyzers Submitted to the Nutrient Sensor Challenge.", "description": " - The Alliance for Coastal Technologies (ACT) has partnered with the Challenging Nutrients Coalition on the Nutrient Sensor Challenge to help address the environmental and ecological problems associated with nutrient pollution. A critical step in this process is facilitating the development and adoption of the next-generation of in-situ nutrient sensors and analyzers. The Nutrient Sensor Challenge is a market stimulation and innovation effort to accelerate the development, adoption, and use of affordable, reliable, and accurate sensors measuring nitrate and orthophosphate in water. The goal is to accelerate these new technologies to commercial availability by 2017. ACT is a NOAA- and EPA-funded partnership of research institutions, state and regional resource managers, and private sector companies that are interested in developing, improving, and applying sensor technologies for studying and monitoring coastal environments. ACT was established on the premise that instrument validation of existing and emerging technologies is essential to support both coastal science and resource management. The overall goals of ACT\u2019s verification program are to provide industry with an opportunity to have a third-party (ACT) test their instruments in both controlled laboratory settings and in diverse field applications within a range of coastal environments, and to provide users of this technology with an independent and credible assessment of instrument performance. The Nutrient Sensor Challenge is similar to all past ACT Technology Verifications in that instrument performance will be evaluated in laboratory and field tests against reference water samples analyzed using EPA-approved standard methods. Unlike previous ACT technology verifications, however, results from these verification tests will be used by an independent Challenge judging panel in order to address all of the requirements of the competition according to the criteria and weighting factors in Table 1. Points will be assigned using weights to assess both exceedance and partial attainment of the targets. In the event that no sensors meet all target sensor features, awards will still be given to first, second, and third place performers in both the nitrate and phosphate categories - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/727", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/727", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/727", "url": "https:\/\/hdl.handle.net\/11329\/727" }, "author": [ { "@type": "Person", "name": "Johengen, T" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/538", "name": "Best practices for use of stable isotope mixing models in food-web studies.", "description": " - Stable isotope mixing models are increasingly used to quantify consumer diets, but may be misused and misinterpreted. We address major challenges to their effective application. Mixing models have increased rapidly in sophistication. Current models estimate probability distributions of source contributions, have user-friendly interfaces, and incorporate complexities such as variability in isotope signatures, discrimination factors, hierarchical variance structure, covariates, and concentration dependence. For proper implementation of mixing models, we offer the following suggestions. First, mixing models can only be as good as the study and data. Studies should have clear questions, be informed by knowledge of the system, and have strong sampling designs to effectively characterize isotope variability of consumers and resources on proper spatio-temporal scales. Second, studies should use models appropriate for the question and recognize their assumptions and limitations. Decisions about source grouping or incorporation of concentration dependence can influence results. Third, studies should be careful about interpretation of model outputs. Mixing models generally estimate proportions of assimilated resources with substantial uncertainty distributions. Last, common sense, such as graphing data before analyzing, is essential to maximize usefulness of these tools. We hope these suggestions for effective implementation of stable isotope mixing models will aid continued development and application of this field. - , - Refereed - , - stable carbon isotopes - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/538", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/538", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/538", "url": "https:\/\/hdl.handle.net\/11329\/538" }, "author": [ { "@type": "Person", "name": "Phillips, D.L." }, { "@type": "Person", "name": "Inger, R." }, { "@type": "Person", "name": "Bearhop, S." }, { "@type": "Person", "name": "Jackson, A.L." }, { "@type": "Person", "name": "Moore, J.W." }, { "@type": "Person", "name": "Parnell, A.C." }, { "@type": "Person", "name": "Semmens, B.X." }, { "@type": "Person", "name": "Ward, E.J." } ], "keywords": [ "Isotopic ratios", "Parameter Discipline::Chemical oceanography::Isotopes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2277", "name": "Less Surface Sea Ice Melt in the CESM2 Improves Arctic Sea Ice Simulation With Minimal Non-Polar Climate Impacts.", "description": " - This study isolates the influence of sea ice mean state on pre-industrial climate and transient 1850-2100 climate change within a fully coupled global model: The Community Earth System Model version 2 (CESM2). The CESM2 sea ice model physics is modified to increase surface albedo, reduce surface sea ice melt, and increase Arctic sea ice thickness and late summer cover. Importantly, increased Arctic sea ice in the modified model reduces a present-day late-summer ice cover bias. Of interest to coupled model development, this bias reduction is realized without degrading the global simulation including top-of-atmosphere energy imbalance, surface temperature, surface precipitation, and major modes of climate variability. The influence of these sea ice physics changes on transient 1850-2100 climate change is compared within a large initial condition ensemble framework. Despite similar global warming, the modified model with thicker Arctic sea ice than CESM2 has a delayed and more realistic transition to a seasonally ice free Arctic Ocean. Differences in transient climate change between the modified model and CESM2 are challenging to detect due to large internally generated climate variability. In particular, two common sea ice benchmarks-sea ice sensitivity and sea ice trends-are of limited value for comparing models with similar global warming. More broadly, these results show the importance of a reasonable Arctic sea ice mean state when simulating the transition to an ice-free Arctic Ocean in a warming world. Additionally, this work highlights the importance of large initial condition ensembles for credible model-to-model and observation-model comparisons. - , - Refereed - , - 14.a - , - Sea ice - , - Concept - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2277", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2277", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2277", "url": "https:\/\/hdl.handle.net\/11329\/2277" }, "author": [ { "@type": "Person", "name": "Kay, Jennifer E." }, { "@type": "Person", "name": "DeRepentigny, Patricia" }, { "@type": "Person", "name": "Holland, Marika M." }, { "@type": "Person", "name": "Bailey, David A." }, { "@type": "Person", "name": "DuVivier, Alice K." }, { "@type": "Person", "name": "Blanchard-Wrigglesworth, Ed" }, { "@type": "Person", "name": "Deser, Clara" }, { "@type": "Person", "name": "Jahn, Alexandra" }, { "@type": "Person", "name": "Singh, Hansi" }, { "@type": "Person", "name": "Smith, Madison M." }, { "@type": "Person", "name": "Webster, Melinda A." }, { "@type": "Person", "name": "Edwards, Jim" }, { "@type": "Person", "name": "Lee, Sun-Seon" }, { "@type": "Person", "name": "Rogers, Keith B." }, { "@type": "Person", "name": "Rosenbloom, Nan" } ], "keywords": [ "Surface melt", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2051", "name": "Framing Cutting-Edge Integrative Deep-Sea Biodiversity Monitoring via Environmental DNA and Optoacoustic Augmented Infrastructures.", "description": " - Deep-sea ecosystems are reservoirs of biodiversity that are largely unexplored, but their exploration and biodiscovery are becoming a reality thanks to biotechnological advances (e.g., omics technologies) and their integration in an expanding network of marine infrastructures for the exploration of the seas, such as cabled observatories. While still in its infancy, the application of environmental DNA (eDNA) metabarcoding approaches is revolutionizing marine biodiversity monitoring capability. Indeed, the analysis of eDNA in conjunction with the collection of multidisciplinary optoacoustic and environmental data, can provide a more comprehensive monitoring of deep-sea biodiversity. Here, we describe the potential for acquiring eDNA as a core component for the expanding ecological monitoring capabilities through cabled observatories and their docked Internet Operated Vehicles (IOVs), such as crawlers. Furthermore, we provide a critical overview of four areas of development: (i) Integrating eDNA with optoacoustic imaging; (ii) Development of eDNA repositories and cross-linking with other biodiversity databases; (iii) Artificial Intelligence for eDNA analyses and integration with imaging data; and (iv) Benefits of eDNA augmented observatories for the conservation and sustainable management of deep-sea biodiversity. Finally, we discuss the technical limitations and recommendations for future eDNA monitoring of the deep-sea. It is hoped that this review will frame the future direction of an exciting journey of biodiscovery in remote and yet vulnerable areas of our planet, with the overall aim to understand deep-sea biodiversity and hence manage and protect vital marine resources. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2051", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2051", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2051", "url": "https:\/\/hdl.handle.net\/11329\/2051" }, "author": [ { "@type": "Person", "name": "Stefanni, S." }, { "@type": "Person", "name": "Mirimin, L." }, { "@type": "Person", "name": "Stankovic, D." }, { "@type": "Person", "name": "Chatzievangelou, D." }, { "@type": "Person", "name": "Bongiorni, L." }, { "@type": "Person", "name": "Marini, S." }, { "@type": "Person", "name": "Modica, M.V." }, { "@type": "Person", "name": "Manea, E." }, { "@type": "Person", "name": "Bonofiglio, F." }, { "@type": "Person", "name": "del Rio Fernandez, J." }, { "@type": "Person", "name": "Cukrov, N." }, { "@type": "Person", "name": "Gavrilovic, A." }, { "@type": "Person", "name": "De Leo, F.C." }, { "@type": "Person", "name": "Aguzzi, J." } ], "keywords": [ "Omics sensors", "eDNA metabarcoding", "Genetic markers", "Artificial intelligence", "Data repositories", "Deeo sea conservation", "Other biological measurements", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1703", "name": "MEDIN data guideline for the recording of offshore geotechnical site investigation data. Version 2.4.", "description": " - This guideline defines good practice for recording offshore geotechnical site investigation data including Oedometer, Triaxial testing, Cone Penetration Testing (CPT), Standard Penetration Testing (SPT), and Particle Size Distribution (PSD) data. If used correctly the data will be easily used and reused. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1703", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1703", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1703", "url": "https:\/\/hdl.handle.net\/11329\/1703" }, "author": [ { "@type": "Person", "name": "Lewall, A." }, { "@type": "Person", "name": "Higgs, D." }, { "@type": "Person", "name": "Terente, V." }, { "@type": "Person", "name": "Ellery, G." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Geotechnics", "Site Investigation", "Oedometer", "OED", "Triaxial", "Triax", "CPT", "Cone Penetration Test", "SPT", "Standard Penetration Test", "PSD", "Particle size distribution", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1314", "name": "Community-Based Monitoring and Indigenous Knowledge in a Changing Arctic: A Review for the Sustaining Arctic Observing Networks. Final report to Sustaining Arctic Observing Networks.", "description": " - This review of community-based monitoring (CBM) in a changing Arctic is based on a multi-year initiative launched in 2012 as a task under the \u201cSustaining Arctic Observing Networks\u201d (SAON), a network of Arctic observing networks. The goal of the task was to better understand the current state of CBM in the Arctic, with a particular interest in monitoring and observing based on Indigenous Knowledge (IK), and to make recommendations to SAON and the Arctic observing community more broadly about how to support engagement and development of CBM. The task began with the creation of a searchable, online inventory of CBM and IK programs, projects, and initiatives: the Atlas of Community-Based Monitoring and Indigenous Knowledge in a Changing Arctic (www.arcticcbm.org). The Exchange for Local Observations and Knowledge of the Arctic (ELOKA) developed this web-based atlas infrastructure on the Nunaliit Atlas Development Framework (http:\/\/nunaliit. org). The Atlas geolocates these various initiatives, visualizes the networks of communities that are involved, and shares metadata provided or verified by program staff. Identification and recruitment of CBM and IK initiatives to join the Atlas involved a number of strategies. We intentionally did not pre-define CBM, but adopted an inclusive approach that encompassed programs with different levels of community involvement as well as IK projects with relevance to long-term observing. We conducted initial outreach to a number of Indigenous organizations and government and academic researchers engaged in monitoring and observing activities. At the pan-Arctic level, Arctic Council Permanent Participants (PPs), and the SAON and Conservation of Arctic Flora and Fauna (CAFF) boards were briefed and asked to refer programs. Once programs were identified, program staff were asked to fill out a questionnaire to provide metadata about their initiative. In some cases, phone interviews were conducted and program staff were asked to approve a pre-filled questionnaire. Completed questionnaires were reviewed and entered into the Atlas by a trained member of the research team to ensure consistency of entries. As of September 2015, the Atlas included 81 program entries.1 The second component of the SAON task was to analyze these entries alongside information gathered from participation of several of this review\u2019s authors in a series of workshops on CBM and IK held in 2013 and 20142 ; this analysis informed the development of the review. The goal of the review is to provide a snapshot of the methods, approaches, and practices of CBM and IK initiatives, and to present recommendations for next steps in supporting the continued development of CBM as an important approach to Arctic observing. The intended audience of this review includes CBM and IK program practitioners and interested community members, scientists and researchers interested in different approaches to Arctic observing, individuals engaged in developing approaches and networks for data sharing and coordination, and municipal, state\/territorial, and national government agencies interested in community-based approaches to monitoring. The review contains the following sections: General overview of programs in the Atlas; Specific issue areas; Good practices; and Next Steps. - , - This review was produced with support from Brown University\u2019s Voss Interdisciplinary Postdoctoral Fellowship, the Nordic Council of Ministers, the European Commission, and the National Science Foundation under grant numbers ARC 0856634 and ARC 1231638. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.7 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1314", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1314", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1314", "url": "https:\/\/hdl.handle.net\/11329\/1314" }, "author": [ { "@type": "Person", "name": "Johnson, Noor" }, { "@type": "Person", "name": "Behe, Carolina" }, { "@type": "Person", "name": "Danielsen, Finn" }, { "@type": "Person", "name": "Kr\u00fcmmel, Eva-Maria" }, { "@type": "Person", "name": "Nickels, Scot" }, { "@type": "Person", "name": "Pulsifer, Peter L." } ], "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Community based monitoring (CBM)", "Indigenous communities", "Indigenous knowledge", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Environment", "Parameter Discipline::Administration and dimensions::Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/850", "name": "Zooplankton monitoring to contribute towards addressing global biodiversity conservation challenges", "description": " - Oceanographers have an increasing responsibility to ensure that the outcomes of scientific research are conveyed to the policy-making sphere to achieve conservation and sustainable use of marine biodiversity. Zooplankton monitoring projects have helped to increase our understanding of the processes by which marine ecosystems respond to climate change and other environmental variations, ranging from regional to global scales, and its scientific value is recognized in the contexts of fisheries, biodiversity and global change studies. Nevertheless, zooplankton data have rarely been used at policy level for conservation and management of marine ecosystems services. One way that this can be pragmatically and effectively achieved is via the development of zooplankton indicators, which could for instance contribute to filling in gaps in the suite of global indicators to track progress against the Aichi Biodiversity Targets of the United Nations Strategic Plan for Biodiversity 2010\u20132020. This article begins by highlighting how under-represented the marine realm is within the current suite of global Aichi Target indicators. We then examine the potential to develop global indicators for relevant Aichi Targets, using existing zooplankton monitoring data, to address global biodiversity conservation challenges. - , - Refereed - , - 14.2 - , - Zooplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/850", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/850", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/850", "url": "https:\/\/hdl.handle.net\/11329\/850" }, "author": [ { "@type": "Person", "name": "Chiba, S." }, { "@type": "Person", "name": "Batten, S." }, { "@type": "Person", "name": "Martin, C.S." }, { "@type": "Person", "name": "Ivory, S." }, { "@type": "Person", "name": "Miloslavich, P." }, { "@type": "Person", "name": "Weatherdon, L.V." } ], "keywords": [ "Zooplankton", "Monitoring", "Biological indicators", "Aichi Biodiversity Targets", "EOV", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/644", "name": "Harmful Algal Blooms (HABs) and Desalination: a Guide to Impacts, Monitoring and Management.", "description": " - Arid countries throughout the world are heavily reliant on seawater desalination for their supply of drinking and municipal water. The desalination industry is large and rapidly growing, approaching more than 20,000 plants operating or contracted in greater than 150 countries worldwide and capacity projected to grow at a rate of 12% per year for the next several decades (http:\/\/www.desaldata.com; 2016). Desalination plants are broadly distributed worldwide, with a large and growing capacity in what will be referred to as the \u201cGulf\u201d region throughout this manual. Here the Gulf refers to the shallow body of water bounded in the southwest by the Arabian Peninsula and Iran to the northeast. The Gulf is linked with the Arabian Sea by the Strait of Hormuz and the Gulf of Oman to the east and extends to the Shatt al-Arab river delta at its western end. One of the operational challenges facing the industry is also expanding globally \u2013 the phenomena termed harmful algal blooms or HABs. Blooms are cell proliferations caused by the growth and accumulation of individual algal species; they occur in virtually all bodies of water. The algae, which can be either microscopic or macroscopic (e.g., seaweeds) are the base of the marine food web, and produce roughly half of the oxygen we breathe. Most of the thousands of species of algae are beneficial to humans and the environment, but there are a small number (several hundred) that cause HABs. This number is vague because the harm caused by HABs is diverse and affects many different sectors of society (see Chapter 1). HABs are generally considered in two groups. One contains the species that produce potent toxins (Chapter 2) that can cause a wide range of impacts to marine resources, including mass mortalities of fish, shellfish, seabirds, marine mammals, and various other organisms, as well as illness and death in humans and other consumers of fish or shellfish that have accumulated the algal toxins during feeding. The second category is represented by species that produce dense blooms - often termed high biomass blooms because of the large number of cells. Cells can reach concentrations sufficient to make the water appear red (hence the common term \u201cred tide\u201d), though brown, green and golden blooms are also observed, while many blooms are not visible. In this manual, we define toxic algae as those that produce potent toxins (poisonous substances produced within living cells or organisms), e.g., saxitoxin. These can cause illness or mortality in humans as well as marine life through either direct exposure to the toxin or ingestion of bioaccumulated toxin in higher trophic levels e.g. shellfish. Nontoxic HABs can cause damage to ecosystems and commercial facilities such as desalination plants, sometimes because of the biomass of the accumulated algae, and in other cases due to the release of compounds that are not toxins (e.g., reactive oxygen species, mucilage) but that can still be lethal to marine animals or cause disruptions of other types. Both toxic and non-toxic HABs represent potential threats to seawater desalination facilities. Although toxins are typically removed very well by reverse osmosis and thermal desalination processes (see Chapter 10), algal toxins represent a potential health risk if they are present in sufficiently high concentrations in the seawater and if they break through the desalination process. It is therefore important for operators to be aware when toxic blooms are near their plants so they can ensure that the removal has indeed occurred (Chapter 3). High biomass blooms pose a different type of threat, as the resulting particulate and dissolved organic material can accelerate clogging of media filters or contribute to (bio)fouling of pretreatment and RO membranes which may lead to a loss of production. Impacts of HABs on desalination facilities are thus a significant and growing problem, made worse by the lack of knowledge of this phenomena among plant operators, managers, 6 engineers, and others involved in the industry, including regulatory agencies. Recognizing this problem, the Middle East Desalination Research Center (MEDRC) and the UNESCO Intergovernmental Oceanographic Commission (IOC) organized a conference in 2012 in Muscat, Oman, to bring HAB researchers and desalination professionals together to exchange knowledge and discuss the scale of the problem and strategies for addressing it. One of the recommendations of that meeting was that a \u201cguidance manual\u201d be prepared to provide information to desalination plant operators and others in the industry about HABs, their impacts, and the strategies that could be used to mitigate those impacts. With support from the US Agency for International Development (USAID) and the IOC Intergovernmental Panel for Harmful Algal Blooms (IPHAB), an editorial team was assembled and potential authors contacted. For the first time, HAB scientists worked closely with desalination professionals to write chapters that were scientifically rigorous yet practical in nature \u2013 all focused on HABs and desalination. During the planning of this manual, it became clear from an informal survey of the desalination industry that generally, HAB problems are far more significant for seawater reverse osmosis (SWRO) plants than for those that use thermal desalination. Both types of processes are very effective in removing HAB toxins (Chapter 10), but the SWRO plants are far more susceptible to clogging of pretreatment granular media filters and fouling of membranes by algal organic matter and particulate biomass. Accordingly, the focus of this book is on SWRO, with only occasional reference to thermal processes. Likewise, emphasis has been placed on seawater HABs, with reference to estuarine and brackish-water HABs only when practices from those types of waters can be informative or illustrative. A brief synopsis of the book follows. Chapter 1 provides a broad overview of HAB phenomena, including their impacts, the spatial and temporal nature of their blooms, common causative species, trends in occurrence, and general aspects of bloom dynamics in coastal waters. Chapter 2 describes the metabolites of HAB cells, including toxins, taste and odor compounds. Methods for analyses are presented there, supplemented by detailed methodological descriptions of rapid toxin screening methods in Appendix 2. As discussed in Chapters 8 and 10, thermal and SWRO operations are highly effective in the removal of HAB toxins, but plant personnel should have the capability to screen for these toxins in raw and treated water to ensure that this removal has been effective. This would be critical, for example, if the public or the press were aware of a toxic HAB in the vicinity of a desalination plant intake and asked for proof that their drinking water is safe. Currently, most desalination plants do not collect data on seawater outside their plants, so they are generally unaware of the presence (now or anticipated) of a potentially disruptive HAB. Chapter 3 provides practical information on the approaches to implementing an observing system for HABs, describing sampling methods and measurement options that can be tailored to available resources and the nature of the HAB threat in a given area. Appendix 4 provides more details on methods used to count and identify HAB cells during this process. All are based on direct water sampling, but it is also possible to observe HABs from space \u2013 particularly the high biomass events. Chapter 4 describes how satellite remote sensing can be used to detect booms. The common sources of imagery (free over the Internet) are presented, as well as descriptions of the software (also free) that can be used to analyze the satellite data. It is relatively easy and highly informative for plant personnel to use this approach to better understand what is in the seawater outside their plants. The cover of this guide provides a graphic example of the incredible scale and resolution of this observational approach. Chapter 5 discusses typical water quality parameters that are measured online or in feedwater samples at desalination plants that could be used to detect blooms at the intake or evaluate process efficiency in removing algal particulates and organics. Emerging parameters that also 7 show promise are examined to provide a resource for plant personnel. Chapter 6 looks at desalination seawater intakes that are the first point of control in minimizing the ingress of algae into the plant. A brief overview of siting considerations that may ultimately drive the location of an intake is also provided. One question asked frequently of HAB scientists is whether the blooms can be controlled or suppressed in a manner analogous to the treatment of insects or other agricultural pests on land. This has proven to be an exceedingly difficult challenge for the HAB scientific and management community, given the dynamic nature of HABs in coastal waters, their large spatial extent, and concerns about the environmental impacts of bloom control methods. Chapter 7 presents a summary of the approaches to bloom prevention and control that have been developed, and discusses whether these are feasible or realistic in the context of an individual desalination plant. Chapter 8 describes management strategies for HABs and risk assessment, including Hazard Analysis Critical Control Point (HACCP) and Alert Level Framework procedures. Once a HAB is detected, a wide range of approaches can be used to address the problems posed by the dissolved toxins associated with those blooms. Chapter 9 presents many of these pretreatment strategies and discusses their use in removing algal organic matter and particulates to prevent filter clogging and membrane fouling. This is necessary to maintain effective plant operation and avoid serious operational challenges for the reverse osmosis step. The chapter covers common pretreatments such as chlorination\/dechlorination, coagulation, dissolved air flotation, granular media filtration, ultrafiltration, and cartridge filtration, in addition to discussing issues experienced due to the inefficiencies of each pretreatment on reverse osmosis. Chapter 10 then addresses the important issue of HAB toxin removal during pretreatment and desalination, and describes laboratory and pilot-scale studies that address that issue. Finally, Chapter 11 provides a series of case studies describing individual HAB events at desalination plants throughout the world, detailing the types of impacts and the strategies that were used to combat them. These studies should be of great interest to other operators as they encounter similar challenges. The manual concludes with a series of appendices that provide images and short descriptions of common HAB species (Appendix 1), rapid screening methods for HAB toxins (Appendix 2), methods to measure transparent exopolymer particles (TEP) and their precursors (Appendix 3), methods to enumerate algal cells (Appendix 4), and reverse osmosis autopsy and cleaning methods (Appendix 5). Compilation of this manual was a major undertaking, requiring the cooperation of scientists and engineers from multiple disciplines, including a number where interactions have been rare in the past. We hope the accumulated material proves useful, and plan to keep this document updated through time and readily available through the Internet. The Editors welcome questions, comments, and suggestions that can make this compilation more useful and accurate. - , - Published - , - Refereed - , - Current - , - 14.A - , - 14.1 - , - Phytoplankton biomass and diversity - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/644", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/644", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/644", "url": "https:\/\/hdl.handle.net\/11329\/644" }, "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO," } ], "keywords": [ "HAB", "Desalination", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1879", "name": "A new strategic vision for sustainable aquaculture production and consumption in the European Union: Blue farming in the European Green Deal.", "description": " - Despite all of its benefits, aquaculture production and consumption in the European Union (EU) has not grown at the same pace as in other parts of the world. Of the total consumption of fish and seafood by the average EU citizen, only 25% originated from aquaculture in 2018. EU aquaculture production in particular only covered 10% of the seafood consumed in the EU and accounted for less than 2% of world production. Almost 70% of aquaculture production in the EU is concentrated in four Member States (Spain, France, Italy and Greece). In terms of volume of aquaculture production per category of species, more than half is shellfish, while marine fish and freshwater fish each account for around 20% of the total volume. The vast majority of EU production is for mussels, trout, seabream, oysters, seabass, carp and clams. This means that there is still a lot of potential for further growth and diversification in terms of producing countries and species farmed. Aquaculture can also provide consumers in the EU with even more diverse healthy and sustainable food products, including those more widely consumed in other regions of the world, for example algae or invertebrates such as sea urchins. It is estimated that there are 15 000 companies in the aquaculture sector in the EU, the large majority of which are microenterprises employing fewer than 10 people. The total number of people employed in aquaculture is close to 70 000 (2018 figures). These microenterprises tend to be family owned and use rather extensive production methods and systems. The EU is highly dependent on imported aquatic food. The EU imports over 70% of the fish and seafood that it consumes. It is therefore important to support the further growth and diversification of aquaculture production in the EU in a way that preserves the environment and provides more jobs and economic development to coastal and rural areas. - , - European Union, EU - , - Published - , - Current - , - 14.2 - , - N\/A - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1879", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1879", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1879", "url": "https:\/\/hdl.handle.net\/11329\/1879" }, "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Algae", "Aquaculture", "European Union", "Fish product", "Fishing industry", "Green economy", "Shellfish farming", "Sustainable fisheries", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1208.2", "name": "Guidance on the Monitoring of Marine Litter in European Seas - An update to improve the harmonised monitoring of marine litter under the Marine Strategy Framework Directive.", "description": " - The Marine Strategy Framework Directive (MSFD) Technical Group on Marine Litter developed the \u2018Guidance on monitoring of marine litter in European seas\u2019 in 2013 to enable EU Member States to launch monitoring programmes for MSFD Descriptor 10: \u2018no harm caused by marine litter\u2019. The maturity of methodological protocols for marine litter monitoring has increased over the last 10 years, based on research advances and Member States\u2019 efforts. This document updates the previous guidance to facilitate the harmonisation of the monitoring framework for the MSFD, including protocols, recommendations, and information required to increase the comparability of data and assessments among Member States. The document comprises chapters dedicated to the protocols for monitoring marine litter across different marine environmental compartments (i.e. the coastline\/beach, the surface layer of the water column, the seafloor\/seabed) and types of litter (i.e. macro litter, mesolitter, microlitter, ingested litter and microlitter by biota, and entanglement with litter). - , - Published - , - Author contributions: Galgani, F., Ruiz-Orej\u00f3n, L. F., Ronchi, F., Tallec, K., Fischer, E. K., Matiddi, M., Anastasopoulou, A., Andresmaa, E., Angiolillo, M., Bakker Paiva, M., Booth, A. M., Buhhalko, N., Cadiou, B., Clar\u00f2, F., Consoli, P., Darmon, G., Deudero, S., Fleet, D., Fortibuoni, T., Fossi, M.C., Gago, J., G\u00e9rigny, O., Giorgetti, A., Gonz\u00e1lez-Fern\u00e1ndez, D., Guse, N., Haseler, M., Ioakeimidis, C., Kammann, U., K\u00fchn, S., Lacroix, C., Lips, I., Loza, A. L., Molina Jack, M. E., Nor\u00e9n, K., Papadoyannakis, M., Pragnel-Raasch, H., Rindorf, A.,Ruiz, M., Set\u00e4l\u00e4, O., Schulz, M., Schultze, M, Silvestri, C., Soederberg, L., Stoica, E., Storr-Paulsen, M., Strand, J., Valente, T., van Franeker, J.,van Loon, W. M. G. M., Vighi, M., Vinci, M., Vlachogianni, T., Volckaert, A., Weiel, S., Wenneker, B., Werner, S., Zeri, C., Zorzo, P., and Hanke, G., - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1208.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1208.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1208.2", "url": "https:\/\/hdl.handle.net\/11329\/1208.2" }, "author": [ { "@type": "Person", "name": "Galgani, F." }, { "@type": "Person", "name": "Ruiz-Orej\u00f3n, L.F." }, { "@type": "Person", "name": "Ronchi, F." }, { "@type": "Person", "name": "Tallec, K." }, { "@type": "Person", "name": "Fischer, E.K." }, { "@type": "Person", "name": "Matiddi, m." }, { "@type": "Person", "name": "Anastasopoulou, A." }, { "@type": "Person", "name": "Andresmaa, E." }, { "@type": "Person", "name": "Angiolillo, M." }, { "@type": "Person", "name": "Bakker Paiva, M." }, { "@type": "Person", "name": "Booth, A.M." }, { "@type": "Person", "name": "Buhhalko, N." }, { "@type": "Person", "name": "Cadiou, B." }, { "@type": "Person", "name": "Clar\u00f2, F." }, { "@type": "Person", "name": "Consoli, P." }, { "@type": "Person", "name": "Darmon, G." }, { "@type": "Person", "name": "Deudero, S." }, { "@type": "Person", "name": "Fleet, D." }, { "@type": "Person", "name": "Fortibuoni, T." }, { "@type": "Person", "name": "Fossi, M.C." }, { "@type": "Person", "name": "Gago, J." }, { "@type": "Person", "name": "G\u00e9rigny, O." }, { "@type": "Person", "name": "Giorgetti, A." }, { "@type": "Person", "name": "Gonz\u00e1lez-Fern\u00e1ndez, D." }, { "@type": "Person", "name": "Guse, N." }, { "@type": "Person", "name": "Haseler, M." }, { "@type": "Person", "name": "Ioakeimidis, C." }, { "@type": "Person", "name": "Kammann, U." }, { "@type": "Person", "name": "K\u00fchn, S." }, { "@type": "Person", "name": "Lacroix, C." }, { "@type": "Person", "name": "Lips, I." }, { "@type": "Person", "name": "Loza, A.L." }, { "@type": "Person", "name": "Molina Jack, M.E." }, { "@type": "Person", "name": "Nor\u00e9n, K." }, { "@type": "Person", "name": "Papadoyannakis, M." }, { "@type": "Person", "name": "Pragnel-Raasch, H." }, { "@type": "Person", "name": "Rindor, A." }, { "@type": "Person", "name": "Ruiz, M." }, { "@type": "Person", "name": "Set\u00e4l\u00e4, O." }, { "@type": "Person", "name": "Schulz, M." }, { "@type": "Person", "name": "Schultze, M." }, { "@type": "Person", "name": "Silvestri, C." }, { "@type": "Person", "name": "Soederberg, L." }, { "@type": "Person", "name": "Stoica, E." }, { "@type": "Person", "name": "Storr-Paulsen, M." }, { "@type": "Person", "name": "Strand, J." }, { "@type": "Person", "name": "Valente, T." }, { "@type": "Person", "name": "van Franeker, J." }, { "@type": "Person", "name": "van Loon, W. M. G. M." }, { "@type": "Person", "name": "Vighi, M." }, { "@type": "Person", "name": "Vinci, M." }, { "@type": "Person", "name": "Vlachogianni, T." }, { "@type": "Person", "name": "Volckaert, A." }, { "@type": "Person", "name": "Weiel, S." }, { "@type": "Person", "name": "Wenneker, B." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "Zeri, C." }, { "@type": "Person", "name": "Zorzo, P." }, { "@type": "Person", "name": "Hanke, G." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Microplastics", "Marine litter", "Beach litter", "Marine Strategy Framework Directive (MSFD) Technical Subgroup on Marine Litter", "MSFD", "Macro litter", "Plastic litter", "Meso litter", "Parameter Discipline::Environment::Anthropogenic contamination", "Data quality control", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1108", "name": "CSW-ebRIM Registry Service - Part 1: ebRIM profile of CSW. Version 1.0.1.(Corrigendum 1).", "description": " - The OGC Catalogue Services 2.0.2 specification (OGC 07-006r1) establishes a general framework for implementing catalogue services that can be used to meet the needs of stakeholders in a wide variety of application domains. This profile is based on the HTTP protocol binding described in Clause 10 of the Catalogue 2.0.2 specification; it qualifies as a \u2018Class 2\u2019 profile under the terms of ISO 19106 since it includes extensions permitted within the context of the base specifications, some of which are not part of the ISO 19100 series of geomatics standards. Suggested additions, changes, and comments on this draft report are welcome and encouraged. Such suggestions may be submitted by email message or by making suggested changes in an edited copy of this document. Comments may be inserted into the PDF document using the commenting tools available in a PDF viewer application. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1108", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1108", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1108", "url": "https:\/\/hdl.handle.net\/11329\/1108" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Extension" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1860", "name": "Ocean Integration: The Needs and Challenges of Effective Coordination Within the Ocean Observing System.", "description": " - Understanding and sustainably managing complex environments such as marine ecosystems benefits from an integrated approach to ensure that information about all relevant components and their interactions at multiple and nested spatiotemporal scales are considered. This information is based on a wide range of ocean observations using different systems and approaches. An integrated approach thus requires effective collaboration between areas of expertise in order to improve coordination at each step of the ocean observing value chain, from the design and deployment of multiplatform observations to their analysis and the delivery of products, sometimes through data assimilation in numerical models. Despite significant advances over the last two decades in more cooperation across the ocean observing activities, this integrated approach has not yet been fully realized. The ocean observing system still suffers from organizational silos due to independent and often disconnected initiatives, the strong and sometimes destructive competition across disciplines and among scientists, and the absence of a well-established overall governance framework. Here, we address the need for enhanced organizational integration among all the actors of ocean observing, focusing on the occidental systems. We advocate for a major evolution in the way we collaborate, calling for transformative scientific, cultural, behavioral, and management changes. This is timely because we now have the scientific and technical capabilities as well as urgent societal and political drivers. The ambition of the United Nations Decade of Ocean Science for Sustainable Development (2021\u20132030) and the various efforts to grow a sustainable ocean economy and effective ocean protection efforts all require a more integrated approach to ocean observing. After analyzing the barriers that currently prevent this full integration within the occidental systems, we suggest nine approaches for breaking down the silos and promoting better coordination and sharing. These recommendations are related to the organizational framework, the ocean science culture, the system of recognition and rewards, the data management system, the ocean governance structure, and the ocean observing drivers and funding. These reflections are intended to provide food for thought for further dialogue between all parties involved and trigger concrete actions to foster a real transformational change in ocean observing. - , - EuroSea - , - European Union - , - Refereed - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1860", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1860", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1860", "url": "https:\/\/hdl.handle.net\/11329\/1860" }, "author": [ { "@type": "Person", "name": "R\u00e9velard, A." }, { "@type": "Person", "name": "Tintor\u00e9, J." }, { "@type": "Person", "name": "Verron, J." }, { "@type": "Person", "name": "Bahurel, P." }, { "@type": "Person", "name": "Barth, J.A." }, { "@type": "Person", "name": "Belb\u00e9och, M." }, { "@type": "Person", "name": "Benveniste, J." }, { "@type": "Person", "name": "Bonnefond, P." }, { "@type": "Person", "name": "Chassignet, E.P." }, { "@type": "Person", "name": "Cravatte, S." }, { "@type": "Person", "name": "Davidson, F." }, { "@type": "Person", "name": "deYoung, B." }, { "@type": "Person", "name": "Heupel, M." }, { "@type": "Person", "name": "Heslop, E." }, { "@type": "Person", "name": "H\u00f6rstmann, C." }, { "@type": "Person", "name": "Karstensen, J." }, { "@type": "Person", "name": "Le Traon, P.Y." }, { "@type": "Person", "name": "Marques, M." }, { "@type": "Person", "name": "McLean, C." }, { "@type": "Person", "name": "Medina, R." }, { "@type": "Person", "name": "Paluszkiewicz, T." }, { "@type": "Person", "name": "Pascual, A." }, { "@type": "Person", "name": "Pearlman, J." }, { "@type": "Person", "name": "Petihakis, G." }, { "@type": "Person", "name": "Pinardi, N." }, { "@type": "Person", "name": "Pouliquen, S." }, { "@type": "Person", "name": "Rayner, R." }, { "@type": "Person", "name": "Shepherd, I." }, { "@type": "Person", "name": "Sprintall, J." }, { "@type": "Person", "name": "Tanhua, T." }, { "@type": "Person", "name": "Testor, P." }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, J." }, { "@type": "Person", "name": "Siddorn, J." }, { "@type": "Person", "name": "Thomsen, S." }, { "@type": "Person", "name": "Vald\u00e9s, L." }, { "@type": "Person", "name": "Visbeck, M." }, { "@type": "Person", "name": "Waite, A.M." }, { "@type": "Person", "name": "Werner, F." }, { "@type": "Person", "name": "Wilkin, J." }, { "@type": "Person", "name": "Williams, B." } ], "keywords": [ "Integration", "Organizational silos", "Ocean governance and management", "Coordination", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2150", "name": "Survey on the method of creating a tidal current harmonic constants data set.", "description": " - Sea current information is used in a variety of fields, including navigation safety, marine economic activities, marine environment conservation, and marine leisure. The Japan Coast Guards Hydrographic and Oceanographic Department has been conducting ocean current observations, tidal current observations, coastal current surveys, and so on to collect information on ocean currents, and has been publicizing the results in order to contribute to the public. In this paper, a technique for simulating tidal current, one type of the ocean current information, is reported. In order to make it a data for preparation in the research of 2018, we investigated the method of creating a tidal harmonic constants data set, and report the results. - , - 14.a - , - Sea surface height - , - Mature - , - Novel (no adoption outside originators) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2150", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2150", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2150", "url": "https:\/\/hdl.handle.net\/11329\/2150" }, "author": [ { "@type": "Person", "name": "Muneda, Koji" } ], "keywords": [ "Sea level", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/826", "name": "Dried, closed-path eddy covariance method for measuring carbon dioxide flux over sea ice.", "description": " - The Arctic marine environment plays an important role in the global carbon cycle. However, there remain large uncertainties in how sea ice affects air\u2013sea fluxes of carbon dioxide (CO2), partially due to disagreement between the two main methods (enclosure and eddy covariance) for measuring CO2 flux (FCO2). The enclosure method has appeared to produce more credible FCO2 than eddy covariance (EC), but is not suited for collecting long-term, ecosystem-scale flux datasets in such remote regions. Here we describe the design and performance of an EC system to measure FCO2 over landfast sea ice that addresses the shortcomings of previous EC systems. The system was installed on a 10\u2009m tower on Qikirtaarjuk Island \u2013 a small rock outcrop in Dease Strait located roughly 35\u2009km west of Cambridge Bay, Nunavut, in the Canadian Arctic Archipelago. The system incorporates recent developments in the field of air\u2013sea gas exchange by measuring atmospheric CO2 using a closed-path infrared gas analyzer (IRGA) with a dried sample airstream, thus avoiding the known water vapor issues associated with using open-path IRGAs in low-flux environments. A description of the methods and the results from 4 months of continuous flux measurements from May through August 2017 are presented, highlighting the winter to summer transition from ice cover to open water. We show that the dried, closed-path EC system greatly reduces the magnitude of measured FCO2 compared to simultaneous open-path EC measurements, and for the first time reconciles EC and enclosure flux measurements over sea ice. This novel EC installation is capable of operating year-round on solar and wind power, and therefore promises to deliver new insights into the magnitude of CO2 fluxes and their driving processes through the annual sea ice cycle. - , - Refereed - , - 14.3 - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/826", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/826", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/826", "url": "https:\/\/hdl.handle.net\/11329\/826" }, "author": [ { "@type": "Person", "name": "Butterworth, Brian J." }, { "@type": "Person", "name": "Else, Brent G. T." } ], "keywords": [ "Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1266", "name": "Towards a Best Practice for Developing Best Practices in Ocean Observation (BP4BP): Supporting Methodological Evolution through Actionable Documentation,", "description": " - In this document, we provide details on how to best use the Ocean Best Practices System (OBPS) templates, thus allowing greater discovery, machine readability, sharing and understandability of methods and best practices (Buttigieg et al. 2019). This document clarifies how to optimally populate the different sections of an OBPS template. We describe how those sections can help the OBPS evolve each submission towards more global best practices. Further, we discuss key challenges in developing methods into community-wide best practices. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1266", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1266", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1266", "url": "https:\/\/hdl.handle.net\/11329\/1266" }, "author": [ { "@type": "Person", "name": "Horstmann, Cora" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Karstensen, J." }, { "@type": "Person", "name": "Waite, Anya M." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Best practices", "Ocean Best Practices System", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/614", "name": "Best practices for managing, measuring and mitigating the benthic impacts of fishing.[Part 2]", "description": " - In a previous paper, Review of habitat dependent impacts of mobile and static fishing gears that interact with the sea bed (2014) we offered definitions for benthic habitat, fishing gear and fisheries management and a way of thinking about the challenge of understanding best practices for measuring, monitoring, managing and mitigating benthic impacts of fishing in the context of the MSC\u2019s certification requirements. These informed our review in the previous paper\u2019s classification of habitats and fishing gears and helped us highlight likely variations in benthic impact depending on habitat and gear used (Grieve, Brady & Polet, 2014). In this paper, we provide an overview of the systems used around the world to classify fisheries management systems. Best practices are related to the MSC Habitats performance indicators, as well as the themes for the original project: monitoring, measuring, managing and mitigating. We conclude the report with observations and recommendations that emerged from our review, with particular reference to defining habitat for MSC purposes and the information needs for certification bodies to make better assessments, e.g. understanding seabed characteristics, estimating fishing distribution, using local knowledge particularly when data are deficient, and the challenge of scaling up results of site-specific, intensive studies to the level of a fishery. - , - Fish abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/614", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/614", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/614", "url": "https:\/\/hdl.handle.net\/11329\/614" }, "author": [ { "@type": "Person", "name": "Grieve, Chris" }, { "@type": "Person", "name": "Brady, Damien C." }, { "@type": "Person", "name": "Polet, Hans" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture", "Instrument Type Vocabulary::laser altimeters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2141", "name": "Environmental DNA applications in biomonitoring and bioassessment of aquatic ecosystems: Guidelines.", "description": " - Aquatic biomonitoring is currently transformed by environmental DNA (eDNA) based approaches. These new tools overcome some limitations of traditional biomonitoring and allow non-invasive sampling, broad taxonomic coverage, high sensitivity, and the possibility to automation. However, the disruptive character and rapid developments of the new technology challenge its implementation. This publication explains the principles of the eDNA technology and presents its advantages and limitations. It shows possible applications of eDNA tools in monitoring and assessment of aquatic ecosystems, and provides detailed protocols and best practices for processing eDNA samples. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2141", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2141", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2141", "url": "https:\/\/hdl.handle.net\/11329\/2141" }, "author": [ { "@type": "Person", "name": "Pawlowski, Jan" }, { "@type": "Person", "name": "Apoth\u00e9loz-Perret-Gentil, Laure" }, { "@type": "Person", "name": "M\u00e4chler, Elvira" }, { "@type": "Person", "name": "Altermatt, Florian" } ], "contributor": [ { "@type": "Organization", "name": "Federal Office for the Environment (FOEN)" } ], "keywords": [ "eDNA", "Biological oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/291", "name": "Manual for Real-Time Quality Control of In-Situ Surface Wave Data: a Guide to Quality Control and Quality Assurance of In-Situ Surface Wave Observations Version 2.0. [SUPERSEDED BY http:\/\/dx.doi.org\/10.25607\/OBP-759]", "description": " - This manual documents a series of test procedures for data QC of in-situ surface wave sensors. In-situ wave observations covered by these procedures are collected in real time as a measure of wave characteristics (wave height, wave period, and wave direction) in oceans and lakes. The scope of real time has expanded to accommodate the span of the 26 variables covered by U.S. IOOS ... - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/291", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/291", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/291", "url": "https:\/\/hdl.handle.net\/11329\/291" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "QARTOD", "IOOS", "Quality assurance", "Surface wave measurement", "Wave measurement", "Wave data", "Physical oceanography", "Instrument Type Vocabulary::wave recorders", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1595", "name": "Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean.", "description": " - Ocean data assimilation is increasingly recognized as crucial for the accuracy of realtime ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational demands of analysis, forecasting and reanalysis is reviewed, focusing on methods currently adopted in operational and realtime prediction systems. Significant challenges associated with the most commonly employed approaches are identified and discussed. Overarching issues faced by ocean data assimilation are also addressed, and important future directions in response to scientific advances, evolving and forthcoming ocean observing systems and the needs of stakeholders and downstream applications are discussed. - , - Refereed - , - 14.a - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1595", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1595", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1595", "url": "https:\/\/hdl.handle.net\/11329\/1595" }, "author": [ { "@type": "Person", "name": "Moore, A.M." }, { "@type": "Person", "name": "Martin, M.J." }, { "@type": "Person", "name": "Akella, S." }, { "@type": "Person", "name": "Arango, H.G." }, { "@type": "Person", "name": "Balmaseda, M." }, { "@type": "Person", "name": "Bertino, L." }, { "@type": "Person", "name": "Ciavatta, S." }, { "@type": "Person", "name": "Cornuelle, B." }, { "@type": "Person", "name": "Cummings, J." }, { "@type": "Person", "name": "Frolov, S." }, { "@type": "Person", "name": "Lermusiaux, P." }, { "@type": "Person", "name": "Oddo, P." }, { "@type": "Person", "name": "Oke, P.R." }, { "@type": "Person", "name": "Storto, A." }, { "@type": "Person", "name": "Teruzzi, A." }, { "@type": "Person", "name": "Vidard, A." }, { "@type": "Person", "name": "Weaver, A.T." } ], "keywords": [ "Data assimilation", "Modelling", "Calculus of variations", "K\u00e1lm\u00e1n filters", "Ensembles", "Physical oceanography", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2538", "name": "ISO 21070:2017. Ships and marine technology \u2014 Marine environment protection \u2014 Management and handling of shipboard garbage. Edition 2.", "description": " - ISO 21070:2017 specifies procedures for the shipboard management of garbage, including handling, collection, separation, marking, treatment, and storage. It also describes the ship-to-shore interface and the delivery of garbage from the ship to the port reception facility. MARPOL, Annex V sets the minimum standard for garbage management that apply to ships. ISO 21070:2017 applies to the management and handling of shipboard garbage during the period the garbage will be on board. The definition of garbage in this document is as defined in MARPOL, Annex V. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2538", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2538", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2538", "url": "https:\/\/hdl.handle.net\/11329\/2538" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Waste disposal", "Shipboard waste", "Ship garbage", "MARPOL", "Anthropogenic contamination", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1349", "name": "Handbook for community-based sea ice monitoring.", "description": " - This handbook was originally compiled as a reference for local observers carrying out sea ice measurements as part of a community-based sea ice observation network for the Siku-Inuit-Hila project, an NSF-funded project (2006-2010) examining sea ice, sea ice use, and sea ice change at the Arctic communities of Qaanaaq, Greenland, Barrow, Alaska, and Clyde River, Nunavut. In response to interest from other communities and researchers, we are now making the handbook available as a resource for anyone wishing to establish a local sea ice monitoring program. The methods and equipment described were chosen with remote communities of the Arctic in mind. They should allow communities to acquire high quality data without requiring specialist training or experience. They are also intended to be robust and simple to build or repair. Although there can be no substitute for hands-on practice and training, this handbook is intended to contain complete instructions for assembling the necessary equipment and using it to monitor sea ice and snow. We leave it to individual investigators to decide upon the specific design elements of a monitoring program such as numbers and locations of stations and measurement frequencies. However, we recommend obtaining advice from local experts concerning these aspects. An Inuktitut version of this handbook is available through NSIDC User Services at nsidc@nsidc.org. A Note on Safety. This handbook contains suggested methods for monitoring sea ice. It is intended for use by experienced Arctic residents who have extensive skills and knowledge related to sea ice travel. We do not recommend traveling on sea ice unless you have the appropriate skills and knowledge, or you are accompanied by someone who does. - , - The Siku-Inuit-Hila project was made possible by a grant from the National Science Foundation (HSD 0624344) - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea ice - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1349", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1349", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1349", "url": "https:\/\/hdl.handle.net\/11329\/1349" }, "author": [ { "@type": "Person", "name": "Mahoney, Andy" }, { "@type": "Person", "name": "Gearheard, Shari" } ], "contributor": [ { "@type": "Organization", "name": "National Snow and Ice Data Center" } ], "keywords": [ "Community based monitoring", "Indigenous communities", "Parameter Discipline::Cryosphere", "Instrument Type Vocabulary::ice thickness profilers", "Instrument Type Vocabulary::snow and ice samplers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1892", "name": "Multiple Ocean Stressors: A Scientific Summary for Policy Makers", "description": " - The ocean is under cumulative stress from a range of pressures at various scales \u2013 local, regional and global. This publication attempts to provide a conceptual overview of multiple ocean stressors, their controls, and potential effects, in each case supported by illustrative examples. The objective is to advance science to enable the transition from passive observation of the problem \u2013impacts of multiple ocean stressors on marine life \u2013 to proactive engagement in finding solutions. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1892", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1892", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1892", "url": "https:\/\/hdl.handle.net\/11329\/1892" }, "author": [ { "@type": "Person", "name": "Beusen, Arthur" }, { "@type": "Person", "name": "Boyd, Philip W." }, { "@type": "Person", "name": "Breitburg, Denise" }, { "@type": "Person", "name": "Comeau, Steve" }, { "@type": "Person", "name": "Dupont, Sam" }, { "@type": "Person", "name": "Hansen, Per Juel" }, { "@type": "Person", "name": "Isensee, Kirsten" }, { "@type": "Person", "name": "Kudela, Raphael M." }, { "@type": "Person", "name": "Lundholm, Nina" }, { "@type": "Person", "name": "Otto, Saskia" }, { "@type": "Person", "name": "Schwing, Franklin" }, { "@type": "Person", "name": "Tilbrook, Bronte" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC" } ], "keywords": [ "Ecosystem-based management (EBM)", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/912", "name": "OGC Best Practice for Sensor Web Enablement Lightweight SOS Profile for Stationary In-Situ Sensors, Version 1.0.", "description": " - This document presents a lightweight profile for the SOS 2.0 standard. This profile is specifically designed for the provision of observations gathered by stationary in-situ sensors. Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. The Open Geospatial Consortium shall not be held responsible for identifying any or all such patent rights. Recipients of this document are requested to submit, with their comments, notification of any relevant patent claims or other intellectual property rights of which they may be aware that might be infringed by any implementation of the standard set forth in this document, and to provide supporting documentation. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/912", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/912", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/912", "url": "https:\/\/hdl.handle.net\/11329\/912" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "In-situ sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1502", "name": "FerryBox Whitebook.", "description": " - The Whitebook presents a scientific and technical description on a newly developed instrument for automatic measurements of a series of environmental oceanographic parameters called FerryBox which supports monitoring of the water quality of coastal and offshore waters of European seas. Thus, a contribution to a future European Oceanographic Observation System (EOOS). The principal idea is to use ships of opportunity like ferries on fixed routes to make automatic measurements of important oceanographic parameters. These measurements are made in a flow-through system where different sensor are applied to continuously measure parameters like water temperature, salinity, turbidity as a measure of the amount of suspended matter, and fluorescence as a measure of the amount of algae. The sustainability of the systems could be greatly enhanced by using automatic cleaning systems so that the effort for maintenance could be reduced. In comparison to other in situ measurement systems, the reliability and data availability of FerryBoxes is higher and maintenance costs are significantly lower. FerryBox systems have reached a state of matureness and the number of measured parameters is still increasing with focus on more biogeochemical variables. The systems are extended with new sensors and analyzers for e.g. algal composition, pH, carbon budget (pCO2, alkalinity) and on some ferry routes nutrients like phosphate, nitrate and silicate. The Whitebook describes the technical details of such FerryBox systems in detail. Furthermore, the applications of the collected data for monitoring and scientific purposes is described for different water systems like the Baltic Sea, the North Sea, the Bay of Biscay and the Mediterranean Sea. To overcome the problem of spatial scale a strong connection has been built with satellite remote sensing, which can deliver images of certain parameters (e.g. chlorophyll-a, TSM etc.) of much larger areas. Long term observations on fixed transects are a powerful mechanism to detect long-term trends in coastal and oceanographic waters. In the Baltic Sea, such time series are available for over 25 years and of great help in detecting long-term effects of eutrophication and their reduction. In other areas examples of riverine nutrient inputs can be shown. Furthermore, the continuous measurements, repeated along a certain transect within days or more often, are also very helpful to detect short-term events that can be detected by research cruises only occasionally due to the limited coverage in time. The FerryBox time series can be further used for validation and improvement of physical models and the increasing number of biogeochemical variables will be very useful for further development and improvement of eco-system models. Real-time FerryBox data can be used for data assimilation to support and enable better estimates in operational models. Furthermore, the high spatial and temporal frequency of data by FerryBox systems can provide real-time information for nearby aquaculture and fishing operations including early warning indicators for e.g. toxic algal blooms. With the introduction of new sensors for alkalinity and pH ocean acidification and the special behavior of the coastal ocean as a highly dynamic component of the global carbon budget can be followed in detail as the diverse sources and sinks of carbon and their complex interactions in these waters are still poorly understood. As most FB systems are equipped with automated water sampler this makes it possible to get water samples from certain areas on a regular basis for subsequent lab analysis. First pilot studies highlighted the feasibility for both target and non-target exploratory screening of trace contaminants. Another application of water sampling could be the investigation of the steadily growing abundance of micro plastics in the oceans which might be possible after the development of suitable analytical techniques. Compared with other marine monitoring and measuring systems FerryBoxes acquire very large amounts of data. Hence quality control, evaluation and processing of these data need to be highly automated, robust and reliable. Therefore, new procedures for data processing and evaluation have been developed for the increasing number of routinely operated FerryBoxes. The planned common European database in connection with the EuroGOOS ROOSes, EMODnet and Copernicus Marine Environment Monitoring Services (CMEMS) will help to make FerryBox data easily available and visible. In a dedicated chapter, the estimated costs for installation and maintenance of such instruments are presented. Finally, a plea for support by the European Commission (DG Mare and DG Innovation) is made to be able to extend the current routes to e.g. other parts of the Mediterranean Sea and the Black Sea and to support the overall data system within the future European Ocean Observing System (EOOS). - , - Published - , - Contributors: K. S\u00d8RENSEN , A. KING , S. KAITALA, U. LIPS, E. STANEV ), G. KORRES , H. WEHDE AND G. BREITBACH . - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1502", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1502", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1502", "url": "https:\/\/hdl.handle.net\/11329\/1502" }, "contributor": [ { "@type": "Organization", "name": "EuroGOOS AIBL" } ], "keywords": [ "Water quality", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1386", "name": "ACCESS climate data management.", "description": " - Building on achievements and experience gained through the EU project DAMOCLES and international data management during the International Polar Year, ACCESS, data management was implemented using the same platform as used for DAMOCLES. A metadata-driven approach through which all datasets are properly described with discovery and use metadata was chosen in order to simplify data management and data usage. The system provides automated submission and checking of datasets, search and download as well as visualisation and transformation on user demand and metadata export. Long-term management of ACCESS climate datasets is done within the context of the Arctic Data Centre. This ensures visibility of ACCESS datasets in the context of WMO and GEOSS catalogues. Challenges with ACCESS data management have mainly been cultural with the consequence that the system has been underutilised within the duration of the project duration. - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1386", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1386", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1386", "url": "https:\/\/hdl.handle.net\/11329\/1386" }, "author": [ { "@type": "Person", "name": "God\u00f8y, \u00d8ystein" }, { "@type": "Person", "name": "Saadatnejad, Bard" } ], "keywords": [ "Damocles project", "Interoperability", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Metadata management", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/594", "name": "Understanding tides.", "description": " - This book presents an elementary explanation of tides and tidal datums. It is written to explain the natural phenomenon of tides in terms and concepts readily understandable by students as well as those in all walks of life merely wishing to be enriched by additional knowledge of their environment. Also, scientists in fields other than physical oceanography and astronomy may wish to use the book as a primer to the fundamentals of tidal theory. Although not at all essential to a complete understanding of tides, a mathematical development of the tide-generating forces is provided. Chapter 10 Tidal Datums should be of particular interest to coastal zone managers, coastal engineers, geologists specializing in beach processes, attorneys concerned with boundary litigation, and legislators (at all government levels) representing marine activities and jurisdictions adjacent to the sea. Finally, it is hoped that new employees in the tides and tidal datum areas of the National Oceanic and Atmospheric Administration will find this book a very helpful introduction to their careers. The term tide is often restricted to th e vertical rise and fall of the water usually occurring twice in a little more than a day. This rise and fall are best observed on a breakwater or on the piles of a pier. When the water is viewed near the time of its lowest poi nt, called low tide or low water, the extent of marine growth and discoloration indicates the general range of the vertical excursion. The tidal range varies, from place to place over time, from almost nothing to many feet. With tides on a sloping beach, the water moves up the beach landward and down the beach seaward. Similarly, but on a grander scale, it moves inland and then seaward across the sloping mud flats and marshes of estuaries as the tide alternately rises and falls. The horizontal component of this phenomenon is called the tidal current. It is best seen at an inlet connecting the ocean with a barrier sound. The tidal current floods and then ebbs with slack waters in between. At any particular location, the high and low tides; together with the floods, ebbs, and slacks of the tidal current; have a particular sequence of occurrence with near constant time intervals between each other. The tide (in its restricted sense) and tidal current are both integral parts of one major phenomenon that will be called hereafter, the tide. Tides 2 should be thought of as being in the form of waves. These waves are thousands of miles in length. Their crests are the high tides, their troughs, the low tides, and the horizontal component of the water particles that make up the wave, the tidal currents. To complicate the matter, these waves combine to reinforce or interfere with each other in varying amounts, partially contributing to the wide differences in tidal characteristics as actually observed. The tide is fundamentally caused by gravitational interactions between the sun, moon, and earth. These interactions of the gravitational forces are the same as those causing the moon and earth to remain in their respective orbits. It is often said of science that the ability to predict a natural event is indicative of understanding. Since tides are one of the most accurately predictable natural phenomena, it follows from the axiom that the tide is truly understood. Nothing could be further from the truth. The sciences of astronomy and geophysics provide very accurate quantitative determinations of the tide-generating forces on the earth. The science of physical oceanography provides a detailed understanding of wave dynamics and the response of the ocean to the tide-generating forces. The Center for Operational Oceanographic Products and Services (CO-OPS) of the National Ocean Service (NOS), National Oceanic and Atmospheric Administration (NOAA) provides very accurate measurements of the tide over time at numerous locations throughout the United States and its territories. But, between the fundamental tide producing forces and the observed tide at a particular place and time, there is a vast area of numerous unknowns that will be referred to as terrestrial factors. Some of the factors that the unknowns are associated ... - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/594", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/594", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/594", "url": "https:\/\/hdl.handle.net\/11329\/594" }, "author": [ { "@type": "Person", "name": "Hicks, Steacy Dopp" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, National Ocean Service" } ], "keywords": [ "Tides", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2256", "name": "Uncertainties of Estimating Extreme Significant Wave Height for Engineering Applications Depending on the Approach and Fitting Technique\u2014Adriatic Sea Case Study.", "description": " - Studies on the extrapolation of extreme significant wave height, based on long-term databases, are extensively covered in literature. An engineer, working in the field of naval architecture, marine engineering, or maritime operation planning, when tackling the problem of extreme wave prediction, would typically follow relevant codes and standards. Currently, authorities in the field of offshore operation within its guidelines propose several methods: the initial-distribution, extreme value, and peak-over threshold approaches. Furthermore, for each proposed method, different mathematical fitting techniques are applicable to optimize the candidate distribution parameters: the least-square method, the method of moments, and the maximum likelihood method. A comprehensive analysis was done to determine the difference in the results depending on the choice of method and fitting technique. All combinations were tested on a long-term database for a location in the Adriatic Sea. The variability of the results and trends of extreme wave height estimates for long return periods are presented, and the limitations of certain methods and techniques are noted. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2256", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2256", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2256", "url": "https:\/\/hdl.handle.net\/11329\/2256" }, "author": [ { "@type": "Person", "name": "Katalini\u0107, Marko" }, { "@type": "Person", "name": "Parunov, Jo\u0161ko" } ], "keywords": [ "Extreme significant wave height", "Waves", "Data acquisition", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2220", "name": "Guidelines on assessing and minimizing the possible impacts from the use of non-indigenous species in aquaculture.", "description": " - Mediterranean and Black Sea aquaculture is a fast-growing sector that is becoming crucial for food security, employment opportunities and economic growth. To maintain this level of development and to enhance these important benefits, the sector tends to rely on non-indigenous species to diversify the range of species being farmed, adapt to climate change and open up new markets. However, the use of non-indigenous species can also have adverse impacts on biodiversity, natural habitats, ecosystems and related ecosystem services if not managed safely. Countries bordering the Mediterranean and the Black Sea share common aquatic ecosystems and, as a result, any local-scale environmental impacts could have wider impacts. While various aquaculture development plans and strategies exist within the GFCM area of application, the shared ecosystems within the region and the resulting risk of wider impacts underline the need for a common regional framework on aquaculture practices related to the use of non-indigenous species. Recognizing this need, the General Fisheries Commission (GFCM) of the Food and Agriculture Organization of the United Nations (FAO) included the preparation of guidelines on non-indigenous species in the 2018\u20132020 work programme for its Scientific Advisory Committee on Aquaculture (CAQ) and adopted them in 2021. They are consistent with global experiences and existing supranational and international instruments regarding the use of non-indigenous species in aquaculture, including the GFCM Strategy for the sustainable development of Mediterranean and Black Sea aquaculture. The main purpose of these guidelines is to provide guiding principles and minimum common criteria to: i) help assess, prevent and minimize the risk of adverse impacts on biodiversity, natural habitats, ecosystems and related ecosystem services associated with the use of non-indigenous species; and ii) promote the development and sharing of a comprehensive knowledge base to address the challenges posed by the use of non-indigenous species. Following an introduction on the background and scope of the guidelines, this document highlights that national regulatory frameworks dedicated to aquaculture should include provisions addressing the introduction of non-indigenous species: the competent authority in each country should draw up and regularly monitor a list of species used in aquaculture and classify them as either \u201cnon-indigenous species\u201d or \u201cspecies that are already present\u201d and countries should establish a minimum standard capacity prior to any introduction of non-indigenous species. Furthermore, it details the application process for an authorization to introduce non-indigenous species and emphasizes that applications should be examined by the competent national authority. Finally, it identifies the necessary conditions that should be fulfilled to minimize the risks of adverse impacts following the introduction of non-indigenous species, including border measures, quarantine and monitoring, as well as surveillance systems. - , - Published - , - Refereed - , - Current - , - 2.4 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2220", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2220", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2220", "url": "https:\/\/hdl.handle.net\/11329\/2220" }, "contributor": [ { "@type": "Organization", "name": "General Fisheries Commission for the Mediterranean" } ], "keywords": [ "Aquaculture", "Non-indigenous species", "Biodiversity", "Marine biodiversity assessment", "Risk assessment", "Introduced species", "Biosecurity", "Environmental regime", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1716", "name": "Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, Volume 6.0: Particulate Organic Matter Sampling and Measurement Protocols: Consensus Towards Future Ocean Color Missions.", "description": " - This document is the product of a multi-year effort that started with a two-and-a-half-day workshop organized by the NASA Ocean Ecology Lab Field Support Group and hosted at NASA Goddard Space Flight Center from November 30\u2013December 2, 2016. The original objective was to produce community consensus protocols for sample collection, filtration, storage, analysis, and quality assurance for particulate organic carbon in all natural waters, emphasizing marine ecosystems, appropriate for satellite algorithm development and validation. Given the close link between global cycles of carbon and nitrogen and that current analytical protocols usually are geared towards their simultaneous measurement, recommendations for analysis of nitrogen in particles are also included. The hope is that the protocols presented here can be widely adopted by the academic scientific community engaged in aquatic C and N cycle research, particularly in activities that support ocean color validation. The resulting protocol review document: Particulate Organic Matter Sampling and Measurement Protocols: Consensus Towards Future Ocean Color Missions, and the associated workshop activity were sponsored by the National Aeronautics and Space Administration (NASA), including funding for the Field Support Group (NASA Ocean Biology and Biogeochemistry Program) and a ROSES NNH15ZDA001N-TWSC award to Antonio Mannino, Ivona Cetini\u0107, Joaqu\u00edn Chaves, Michael Novak, and Jeremy Werdell under the NASA Program Topical Workshops, Symposia, and Conferences Program with additional support for contributing authors and workshop participants by their respective institutions. This document provides a detailed discussion of state-of-the-art technologies and protocols for sampling and measuring aquatic particulate organic carbon and particulate nitrogen. Appendix A provides a summary of best practices and recommendations for those developing a research program that includes measurements of POM. Significant contributions by all authors and reviewers made the completion of this document possible. Reference herein to any specific commercial products, processes, or services by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement or recommendation by the authors or their employers. - , - NASA award from the ROSES NNH15ZDA001N-TWSC- Topical Workshops, Symposia, and Conferences Program. - , - Published - , - Contributing authors: Joaqu\u00edn E. Chaves, Ivona Cetini\u0107, Giorgio Dall\u2019Olmo, Meg Estapa, Wilford Gardner, Miguel Go\u00f1i, Jason R. Graff, Peter Hernes, Phoebe J. Lam, Zhanfei Liu, Michael W. Lomas, Antonio Mannino, Michael G. Novak, Robert Turnewitsch, P. Jeremy Werdell, Toby K. Westberry - , - Current - , - Ocean colour - , - Best Practice - , - International - , - Ocean colour - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1716", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1716", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1716", "url": "https:\/\/hdl.handle.net\/11329\/1716" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Carbon", "Biological oceanography", "elemental analysers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1113", "name": "OGC OpenSearch Extension for Earth Observation Satellite Tasking: Best Practice. Version 1.0.", "description": " - This document provides a specification of an OpenSearch extension for Earth Observation Satellites Tasking. This OGC Best Practice is intended to provide a very simple way to task Earth Observation (EO) satellites sensors, to allow simple syndication between, and to provide a basic federated query of related sensors, whereby a single client can query several instances and present a collection of future acquisition as one set. This document is the result of work undertaken within the European Space Agency (ESA) Heterogeneous Mission Accessibility for Science (HMA-S) project funded by ESA the Long Term Data Preservation (LTDP) program. The document was initially produced during the ESA HMA (Heterogeneous Missions Accessibility) initiative (see \u2018Normative References\u2019 section) related projects. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1113", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1113", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1113", "url": "https:\/\/hdl.handle.net\/11329\/1113" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenSearch Extension", "Earth Observations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/298", "name": "ICAN - Best Practice Guide to Engage your Coastal Web Atlas User Community.", "description": " - The long-term strategic goal of the IODE ICAN (International Coastal Atlas Network) project is to encourage and help facilitate the development of digital atlases of the global coast based on the principle of distributed, high-quality data and information. These atlases can be local, regional, national and international in scale. ICAN aims to achieve this by sharing knowledge and experience among atlas developers in order to find common solutions for coastal web atlas development whilst ensuring maximum relevance and added value for the users. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/298", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/298", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/298", "url": "https:\/\/hdl.handle.net\/11329\/298" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Coastal web atlas", "Coastal atlas", "Web GIS", "Community of practice", "Spatial data infrastructure (SDI)", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data visualization", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2055", "name": "Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.", "description": " - The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and\/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radio- metric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Species abundances - , - Satellite sensors - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2055", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2055", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2055", "url": "https:\/\/hdl.handle.net\/11329\/2055" }, "author": [ { "@type": "Person", "name": "Muller-Karger, Frank E." }, { "@type": "Person", "name": "Hestir, Erin" }, { "@type": "Person", "name": "Ade, Christiana" }, { "@type": "Person", "name": "Turpie, Kevin" }, { "@type": "Person", "name": "Roberts, Dar A." }, { "@type": "Person", "name": "Siegel, David" }, { "@type": "Person", "name": "Miller, Robert J." }, { "@type": "Person", "name": "Humm, David" }, { "@type": "Person", "name": "Izenberg, Noam" }, { "@type": "Person", "name": "Keller, Mary" }, { "@type": "Person", "name": "Morgan, Frank" }, { "@type": "Person", "name": "Frouin, Robert" }, { "@type": "Person", "name": "Dekker, Arnold G." }, { "@type": "Person", "name": "Gardner, Royal" }, { "@type": "Person", "name": "Goodman, James" }, { "@type": "Person", "name": "Schaeffer, Blake" }, { "@type": "Person", "name": "Franz, Bryan A." }, { "@type": "Person", "name": "Pahlevan, Nima" }, { "@type": "Person", "name": "Mannino, Antonio G." }, { "@type": "Person", "name": "Concha, Javier A." }, { "@type": "Person", "name": "Ackleson, Steven G." }, { "@type": "Person", "name": "Cavanaugh, Kyle C." }, { "@type": "Person", "name": "Romanou, Anastasia" }, { "@type": "Person", "name": "Tzortziou, Maria" }, { "@type": "Person", "name": "Boss, Emmanuel S." }, { "@type": "Person", "name": "Pavlick, Ryan" }, { "@type": "Person", "name": "Freeman, Anthony" }, { "@type": "Person", "name": "Rousseaux, Cecile S." }, { "@type": "Person", "name": "Dunne, John" }, { "@type": "Person", "name": "Long, Matthew C." }, { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "McKinley, Galen A." }, { "@type": "Person", "name": "Goes, Joachim" }, { "@type": "Person", "name": "Letelier, Ricardo" }, { "@type": "Person", "name": "Kavanaugh, Maria" }, { "@type": "Person", "name": "Roffer, Mitchell" }, { "@type": "Person", "name": "Bracher, Astrid" }, { "@type": "Person", "name": "Arrigo, Kevin R." }, { "@type": "Person", "name": "Dierssen, Heidi" }, { "@type": "Person", "name": "Zhang, Xiaodong" }, { "@type": "Person", "name": "Davis, Frank W." }, { "@type": "Person", "name": "Best, Ben" }, { "@type": "Person", "name": "Guralnick, Robert" }, { "@type": "Person", "name": "Moisan, John" }, { "@type": "Person", "name": "Sosik, Heidi M." }, { "@type": "Person", "name": "Kudela, Raphael" }, { "@type": "Person", "name": "Mouw, Colleen B." }, { "@type": "Person", "name": "Barnard, Andrew H." }, { "@type": "Person", "name": "Palacios, Sherry" }, { "@type": "Person", "name": "Roesler, Collin" }, { "@type": "Person", "name": "Drakou, Evangelia G." }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Jetz, Walter" } ], "keywords": [ "Essential Biodiversity Variables (EBV)", "Coastal zone", "H4 imaging", "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2054", "name": "Operationalizing the CARE and FAIR Principles for Indigenous data futures", "description": " - As big data, open data, and open science advance to increase access to complex and large datasets for innovation, discovery, and decision-making, Indigenous Peoples\u2019 rights to control and access their data within these data environments remain limited. Operationalizing the FAIR Principles for scientific data with the CARE Principles for Indigenous Data Governance enhances machine actionability and brings people and purpose to the fore to resolve Indigenous Peoples\u2019 rights to and interests in their data across the data lifecycle. - , - Refereed - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2054", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2054", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2054", "url": "https:\/\/hdl.handle.net\/11329\/2054" }, "author": [ { "@type": "Person", "name": "Carroll, Stephanie Russo" }, { "@type": "Person", "name": "Herczog, Edit" }, { "@type": "Person", "name": "Hudson, Maui" }, { "@type": "Person", "name": "Russell, Keith" }, { "@type": "Person", "name": "Stall, Shelley" } ], "keywords": [ "FAIR Principles", "CARE Principles", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2511", "name": "ISO 18191:2015. Water quality \u2014 Determination of pHt in sea water \u2014 Method using the indicator dye m-cresol purple. Edition 1. [Reviewed 2020].", "description": " - This method will provide international communities accurate data sets on pHt in sea water being compatible with each other. This is the base of national and international operational observation or monitoring programs of the oceanic carbonate system as well as individual research works. When ocean environment such as sub-seabed aquifer is selected as a storage site, the monitoring of carbonate system including pH in sea water becomes very important. The analytical method for pHt in sea water (the total hydrogen ion concentration pH scale) samples requires specific conditions and techniques essential to the precise and accurate determination. This International Standard describes a method for the determination of pHt in sea water with the repeatability less than 0,003. This method will provide international communities accurate data sets on pHt in sea water being compatible with each other. This is the base of national and international operational observation or monitoring programs of the oceanic carbonate system as well as individual research works. WARNING Persons using this International Standard should be familiar with normal laboratory practice. This International Standard does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. IMPORTANT It is absolutely essential that tests conducted in accordance with this International Standard be carried out by suitably qualified staff. - , - Published - , - Refereed - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2511", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2511", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2511", "url": "https:\/\/hdl.handle.net\/11329\/2511" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Atmospheric C02", "pH", "ISO Standard", "Carbon, nitrogen and phosphorus", "spectrophotometers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/792", "name": "Performance Demonstration Statement American Ecotech NUT 1000.", "description": " - A key to the successful adoption, and transition to operational use, of new technologies is broad community awareness and confidence. The Alliance for Coastal Technologies (ACT) has therefore completed a Performance Demonstration of in situ nutrient analyzers\/sensors with the goal of aiding in technology refinement and building user acceptance of these novel instruments. The fundamental objectives of this Performance Demonstration were to: (1) highlight the potential capabilities of in situ nutrient analyzers by demonstrating their utility in a broad range of coastal environments with varying nutrient concentrations, (2) promote the awareness of this emerging technology to the scientific and management community responsible for monitoring coastal environments, and (3) work with manufacturers that are presently developing new or improved sensor systems by providing a forum for rigorously evaluating their products using an objective, third-party, nationally distributed testing program. We wish to highlight several fundamental differences in the protocols between an ACT Performance Demonstration and a Performance Verification. First, participating manufacturers were asked to perform all of the required set-up and calibration procedures prior to deployment and to extract the data from the test and submit it in a final concentration specific format. In addition, manufacturers facilitated the testing of laboratory reference standards (made in deionized water with certified SPEX nutrient standards) at the beginning and end of the test. Secondly, there was no laboratory component for directly testing the stated instrument performance capabilities under controlled conditions. Thirdly, field tests were conducted at a subset of four of the eight partner test sites. Lastly, we provided manufacturers with results of initial and final laboratory reference standards, on-board instrument standards and field reference samples to facilitate post-test correction of the in situ determined nutrient concentrations. This procedure is highly recommended for any application of these technologies and provides a better measure of the potential for in situ analyzers to capture accurate time series once appropriate calibrations and controls are applied. In this Demonstration Statement, we present the performance results of the American Ecotech NUT 1000 during a surface mapping tests in Monterey Bay, CA. This field exercise was designed to demonstrate the capacity of test instruments for high frequency and resolution sampling of ambient phosphate concentrations provided in a flow through sampling stream drawn from 1m during an underway survey. Water sampling was conducted both in the highly turbid and eutrophic waters of the Moss Landing Harbor as well as more oceanic conditions of outer Monterey Bay during a 7 hour cruise. The reported measurements from the NUT 1000 were highly linear over an order or magnitude range between 10 \u2013 120 \u00b5gP\/L when regressed against laboratory analyzed reference samples. However, the initial calls from the instrument consistently over-estimated phosphate concentrations by around 50 \u00b5gP\/L due to an internal calibration issue most likely associated with the higher refractive index of seawater relative to the calibration standard solutions. Simple post-correction of the instrument data provided excellent agreement with the laboratory reference data throughout the range of observed concentrations. In addition to the surface mapping application, two moored application tests were attempted, but distinct instrument malfunctions resulted in aborted tests at both locations. It should be noted that this instrument as configured was not designed for mooring applications. In general, however, it appears that the fundamental technology of the NUT 1000 has the capability to successfully measure in situ phosphate concentrations over a wide range of water quality conditions and can be particularly effective for rapid, survey-based applications due to its high sampling rate capability and extreme portability. We encourage readers to review the entire document for a comprehensive understanding of instrument performance and to discuss results with the instrument manufacturer. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/792", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/792", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/792", "url": "https:\/\/hdl.handle.net\/11329\/792" }, "author": [ { "@type": "Person", "name": "Carrol, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Cook, J." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Wells, D." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2016", "name": "Guidelines for sampling and determination of silicate.", "description": " - Silicate is introduced to the Baltic Sea as a result of natural geological processes, as opposed to nitrogen and phosphorus, which levels are affected by human activities. Although it is not listed among the HELCOM Core Indicators, silicate is still biologically significant. Since diatoms are dependent of dissolved silicate for growth, monitoring of silicate is essential for evaluation and modelling of nutrient status, and assessment of conditions for phytoplankton growth. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2016", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2016", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2016", "url": "https:\/\/hdl.handle.net\/11329\/2016" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/976", "name": "Volume 6: OGC CDB Rules for Encoding Data using OpenFlight, Version 1.1.", "description": " - This volume defines the OpenFlight implementation requirements for a CDB conformant data store. Please also see Volume 1 OGC CDB Core Standard: Model and Physical Structure for a general description of all of the industry standard formats specified by the CDB standard. Please read section 1.3.1 of that document for a general overview. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/976", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/976", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/976", "url": "https:\/\/hdl.handle.net\/11329\/976" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2509", "name": "ISO 10304-1:2007. Water quality \u2014 Determination of dissolved anions by liquid chromatography of ions Part 1: Determination of bromide, chloride, fluoride, nitrate, nitrite, phosphate and sulfate. Edition 2. [Reviewed 2021].", "description": " - The user should be aware that particular problems could require the specification of additional conditions not provided for in this part of ISO 10304. WARNING \u2014 Persons using this International Standard should be familiar with normal laboratory practice. This standard does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. IMPORTANT \u2014 It is absolutely essential that tests conducted according to this International Standard be carried out by suitably trained staff. 1 Scope This part of ISO 10304 specifies a method for the determination of dissolved bromide, chloride, fluoride, nitrate, nitrite, orthophosphate and sulfate in water, e.g. drinking water, ground water, surface water, waste water, leachates and marine water by liquid chromatography of ions. The lower limit of application is \u2265 0,05 mg\/l for bromide and for nitrite, and \u2265 0,1 mg\/l for chloride, fluoride, nitrate, orthophosphate, and sulfate. The lower limit of application depends on the matrix and the interferences encountered. The working range may be expanded to lower concentrations (e.g. \u2265 0,01 mg\/l) if an appropriate pre-treatment of the sample (e.g. conditions for trace analyses, pre-concentration technique) is applied, and\/or if an ultraviolet (UV) detector (for bromide, nitrate and nitrite) is used. - , - Published - , - , - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2509", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2509", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2509", "url": "https:\/\/hdl.handle.net\/11329\/2509" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Dissolved bromide", "Dissolved chloride", "Dissolved fluoride", "Dissolved nitrate", "Dissolved nitrite", "Dissolved orthophosphate", "Dissolved sulfate", "ISO Standard", "Other inorganic chemical measurements", "Nutrients", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1634", "name": "Recommendations to promote knowledge exchange and transfer on Marine\/Maritime Spatial Planning.", "description": " - To date, capacity development in Marine\/Maritime Spatial Planning (MSP) has mostly targeted professionals directly involved in the development of MSP plans. However, MSP is a public process that must engage all levels of stakeholders effectively during the policy development, and, in order to accomplish it, stakeholders need to have the appropriate knowledge about MSP to take informed decisions. In this context, communication, knowledge exchange and transfer, and ocean literacy activities are key aspects that need to be promoted. Within capacity development, knowledge exchange is a two-way process of sharing different types of knowledge (technical, scientific and traditional), but also ideas and experiences. It is intended to be mutually beneficial and provide inputs to problem solving. Therefore, these recommendations were developed to advise professionals directly involved in the development of MSP plans on how to promote knowledge exchange and transfer towards other public authorities, private actors and civil society. These stakeholders are, indeed, the final users, implementers and beneficiaries of the MSP plans. The publication was developed in line with the Sustainable Development Goal (SDG) 14 and its target on transfer of marine technology, as well as taking into account the \u201cCriteria and Guidelines on the Transfer of Marine Technology of UNESCO\u2019s Intergovernmental Oceanographic Commission\u201d1 . The issue of which knowledge needs to be transferred, to whom and how to do it are aspects approached in this document, with concrete actions and recommendations whenever possible. - , - Published - , - Contributors: Alumni of Erasmus Mundus Mater Course on Maritime Spatial Planning: Evangelia Tzika (Greece); Fatima Kaneez (Pakistan); Alberta Jonah (Ghana); Felix Butschek (Austria); Firdaous Halim (Morocco); K\u00fcbra Ceviz Sanalan (Turkey); Prince Owusu Bonsu (Ghana); Camila Pegorelli Gomes (Brazil); Maria Pentzel (Tanzania); Sarah Mahadeo (Trinidad and Tobago); Joseph Kofi Ansong (Ghana); Chiranthaka Halpe (Sri Lanka); Ibukun Jacob Adewumi (Nigeria); Kemal Pinarbasi (Turkey); Bruno Minuzzi Schemes (Brazil); Maria Troya (Ecuador); Niccol\u00f2 Bassan (Italy); Mario Ca\u00f1a Varona (Spain); Kwadwo Hwedie (Ghana); Maher Al-Quhali (Yemen); Pascal Thoya (Kenya) - , - Current - , - 14.5 - , - N\/A - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1634", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1634", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1634", "url": "https:\/\/hdl.handle.net\/11329\/1634" }, "author": [ { "@type": "Person", "name": "Cervera N\u00fa\u00f1ez, Cristina" }, { "@type": "Person", "name": "Iglesias-Campos, Alejandro" }, { "@type": "Person", "name": "Quesada da Silva, Michele" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO\/IOC" } ], "keywords": [ "Marine spatial planning", "Environmental management", "Stakeholders", "Information exchange", "Knowledge management", "MSP", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1303", "name": "Measuring and analysing the directional spectra of ocean waves.", "description": " - The importance of directional wave information has been recognised for a long time. However, for decades good measurements of directional spectra were limited almost exclusively to special research campaigns. Collecting directional wave climates from various sites and putting directional wave data to operational use were not a common practice. The situation has now improved. Many new instruments and analysis techniques have been developed for both in situ implementation and for remote sensing. It has become possible to extend the use of directional information over a much wider range, including many practical applications. This has opened up new possibilities. But it has also highlighted the difficulties associated with the directional spectrum. None of the present instruments can provide all the data that is required to calculate the directional spectrum in a robust way. Clever analysis techniques have been introduced that use physical and mathematical constraints to extract the directional spectrum from the limited data available. Each instrument and each analysis method has its own advantages and shortcomings, and the results are not necessarily comparable. If one wants to make use of the directional information, one needs an understanding of the properties of the instruments and the methods as well as the differences between them. COST action 714, supported by the European Commission, had the objective to promote the development of measurement techniques and the use of directional wave measurements. The action was launched in 1996, and, in the end, representatives of ten European countries (Belgium, Finland, France, Italy, Germany, The Netherlands, Norway, Portugal, Spain, United Kingdom) participated in it. Within the action a working group was created with the title Intercomparisons of Spectral Properties of Surface Waves for the purpose of improving the understanding of measurement techniques, methods of analysis, and comparisons between different instruments. The working group decided to publish its work in the form of a book describing the theory of directional wave spectra and the various instruments and analysis methods used to measure them, as well as comparisons between different instruments. The aim of the book is to give a comprehensive and up-to-date review of the instruments and methods of analysis available today for measuring the directional spectrum of ocean waves. In addition to the texts by members of the working group, the book contains contributions by other ocean wave experts. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea state - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1303", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1303", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1303", "url": "https:\/\/hdl.handle.net\/11329\/1303" }, "contributor": [ { "@type": "Organization", "name": "Office for Official Publications of the European Communities" } ], "keywords": [ "Directional wave spectra", "Wind wave measurement", "Radar remote sensing", "Parameter Discipline::Physical oceanography::Waves", "Instrument Type Vocabulary::wave recorders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1329", "name": "Local documentation and management of living resources: User Guide. [PISUNA Manual]", "description": " - Welcome to Greenland Self-Government\u2019s Guide to Local Documentation and Management of Living Resources! This guide is intended to help citizens document and interpret changes in living resources. The guide has been written especially for hunters, fishers and others with an interest in the natural environment who want to contribute to strengthening the management of living resources - and to promote sustainable use of those resources. - , - Greenland's self-government, Nordic Council of Ministers (Arctic Cooperation, Fisheries, Environment, and Political Initiatives) and EU BEST Environment Program for Overseas Territories, and the EU H2020 project INTAROS (Grant agreement ID: 727890) - , - Published - , - PISUNA is an abbreviation of Piniakkanik sumiiffinni nalunaarsuineq. PISUNA will strengthen the involvement of hunters, fishers and others interested in the documentation and management of living resources. The government would like to see PISUNA being used by communities all over Greenland to ensure that the people living closest to nature have a well-established way of sharing their knowledge. This will ensure that user-knowledge always forms part of the basis for making decisions concerning the management of living resources, locally, nationally and globally. Some documentation by hunters of the living resources already exists in the catchment database Piniarneq. However, much of the local knowledge that could be used to strengthen the management of living resources is not included in Piniarneq. - , - Non Refereed - , - DANISH: Velkommen til Gr\u00f8nlands Selvstyres vejledning i lokal dokumentation og forvaltning af de levende ressourcer! Vejledningen er skrevet for at hj\u00e6lpe fangere, j\u00e6gere, fiskere og natur-\u00ad\u2010 og milj\u00f8interesserede med at bidrage til at styrke forvaltningen af de levende ressourcer og til at fremme en b\u00e6redygtig udnyttelse af Gr\u00f8nlands hav-\u00ad\u2010 og landomr\u00e5der. Vejledningen er beregnet p\u00e5 at hj\u00e6lpe borgere med at dokumentere og fortolke \u00e6ndringer i de levende ressourcer. Selvstyret h\u00e5ber med denne vejledning at sprede interessen for at bidrage til, at vi f\u00e5r det st\u00f8rst mulige b\u00e6redygtige udbytte af de eksisterende ressourcer. - , - GREENLANDIC: Kalaallit Nunaanni Namminersorlutik Oqartussat najukkami Pisuussutinik uumassusilinnik nalunaarsuinermi aqutsinermilu ilitsersuusiaanut tikilluaritsi! Ilitsersuusiaq piniartut, aallaaniat, aalisartut aammalu pinngortitamik avatangiisinillu soqutigisalinnut, Kalaallit Nunaata imartaani nunataanilu, piujuartitsinissaq siunertaralugu pisuussutinik uumassusilinnik atorluaanissap aqunneqarneratalu nukittorsaaviginissaanut suleqataarusuttunut tapertassatut suliaavoq. Neriuppugut, pisuussutinik uumassusilinnik nalunaarsuinermi, tassuunalu allanngoriartornerit qanoq paasineqartarnissaannik ilitsersuusiaq manna innuttaasunut iluaqutaajumaartoq. Namminersorlutik Oqartussat neriuutigivaat, pisuussutinik uumassusilinnik piujuaannartitsilluni qanoq atorluaanerusinnaanissatsinnut, ilitsersuut manna soqutiginnilerseqataajumaartoq. - , - Current - , - 1 - , - 2 - , - 3 - , - 8 - , - 12 - , - 13 - , - 14 - , - 15 - , - Fish abundance and distribution - , - Marine turtles, birds, mammals abundance and distribution - , - Invertebrate abundance and distribution - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1329", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1329", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1329", "url": "https:\/\/hdl.handle.net\/11329\/1329" }, "author": [ { "@type": "Person", "name": "Danielsen, Finn" }, { "@type": "Person", "name": "Enghoff, Martin" }, { "@type": "Person", "name": "Jakobsen, P\u00e2vi\u00e2raK" }, { "@type": "Person", "name": "Hansen, Adam" }, { "@type": "Person", "name": "Levermann, Nette" }, { "@type": "Person", "name": "L\u00f8vstr\u00f8m, Peter" }, { "@type": "Person", "name": "Lund, Nuka M\u00f8ller" }, { "@type": "Person", "name": "Poulsen, Michael K\u00f8ie" }, { "@type": "Person", "name": "Schi\u00f8tz, Martin" }, { "@type": "Person", "name": "Topp-J\u00f8rgensen, Elmer" } ], "contributor": [ { "@type": "Organization", "name": "Piniakkanik sumiiffinni nalunaarsuineq (PISUNA)" } ], "keywords": [ "Natural resource management", "Community based monitoring", "Natural resources", "Community based observation", "Hunting", "Fishing", "Livelihood", "Living resources", "Commuity empowerment", "Inclusion", "CAPARDUS", "Parameter Discipline::Fisheries and aquaculture", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Administration and dimensions", "Parameter Discipline::Environment", "Data Management Practices::Data analysis", "Data Management Practices::Data acquisition", "Data Management Practices::Data aggregation", "Data Management Practices::Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2246", "name": "Satellite Radiation Products for Ocean Biology and Biogeochemistry: Needs, State-of-the-Art, Gaps, Development Priorities, and Opportunities.", "description": " - Knowing the spatial and temporal distribution of the underwater light field, i.e., the spectral and angular structure of the radiant intensity at any point in the water column, is essential to understanding the biogeochemical processes that control the composition and evolution of aquatic ecosystems and their impact on climate and reaction to climate change. At present, only a few properties are reliably retrieved from space, either directly or via water-leaving radiance. Existing satellite products are limited to planar photosynthetically available radiation (PAR) and ultraviolet (UV) irradiance above the surface and diffuse attenuation coefficient. Examples of operational products are provided, and their advantages and drawbacks are examined. The usefulness and convenience of these products notwithstanding, there is a need, as expressed by the user community, for other products, i.e., sub-surface planar and scalar fluxes, average cosine, spectral fluxes (UV to visible), diurnal fluxes, absorbed fraction of PAR by live algae (APAR), surface albedo, vertical attenuation, and heating rate, and for associating uncertainties to any product on a pixel-by-pixel basis. Methodologies to obtain the new products are qualitatively discussed in view of most recent scientific knowledge and current and future satellite missions, and specific algorithms are presented for some new products, namely sub-surface fluxes and average cosine. A strategy and roadmap (short, medium, and long term) for usage and development priorities is provided, taking into account needs and readiness level. Combining observations from satellites overpassing at different times and geostationary satellites should be pursued to improve the quality of daily-integrated radiation fields, and products should be generated without gaps to provide boundary conditions for general circulation and biogeochemical models. Examples of new products, i.e., daily scalar PAR below the surface, daily average cosine for PAR, and sub-surface spectral scalar fluxes are presented. A procedure to estimate algorithm uncertainties in the total uncertainty budget for above-surface daily PAR, based on radiative simulations for expected situations, is described. In the future, space-borne lidars with ocean profiling capability offer the best hope for improving our knowledge of sub-surface fields. To maximize temporal coverage, space agencies should consider placing ocean-color instruments in L1 orbit, where the sunlit part of the Earth can be frequently observed. - , - , average cosine, , ocean color, remote sensing - , - Refereed - , - 14.a - , - Novel (no adoption outside originators) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2246", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2246", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2246", "url": "https:\/\/hdl.handle.net\/11329\/2246" }, "author": [ { "@type": "Person", "name": "Frouin, Robert" }, { "@type": "Person", "name": "Ramon, Didier" }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Jolivet, Dominique" }, { "@type": "Person", "name": "Compi\u00e8gne, Mathieu" }, { "@type": "Person", "name": "Tan, Jing" }, { "@type": "Person", "name": "Bouman, Heather" }, { "@type": "Person", "name": "Jackson, Thomas" }, { "@type": "Person", "name": "Franz, Bryan" }, { "@type": "Person", "name": "Platt, Trevor" }, { "@type": "Person", "name": "Sathyendranath, Shubha" } ], "keywords": [ "Sub-surface planar fluxes", "Sub-surface scalar fluxes", "Average cosine", "Spectral fluxes", "Diurnal fluxes", "Absorbed fraction of PAR by live algae (APAR)", "Surface albedo", "Vertical attenuation", "Heating rate", "Photosynthetically available radiation", "Attenuation coefficient", "Ocean colour", "Fluxes", "Data analysis", "Data visualization", "Satellite sensing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1393", "name": "Daily Subsurface Ocean Temperature Climatology Using Multiple Data Sources: New Methodology.", "description": " - The availability and accessibility of oceanographic data is critical to the sustainability of our oceans into the future. Ocean temperature climatology data products utilizing long time series provide context to ocean warming and allow the identification of anomalous environmental conditions. Here we describe a new methodology to create a daily subsurface temperature climatology using data from three different sources with varying spatial and temporal coverage. The Port Hacking National Reference Station off South East Australia is the site of bottle data collected typically every 1 to 4 weeks at discrete depths between 1953 and 2010, and since 2009 near-monthly vertical profiling CTD profiles and 5 min moored data at various depths. Calculating an unbiased climatology using temperature data sets obtained via different methods, with varying resolution and uncertainty, is challenging. To account for days with limited bottle data, and thus limit the bias from more recent higher temporal resolution data, a time-centered moving window of \u00b12 days was used to incorporate data collected on neighboring days. To account for different data sources measured on the same date, a date-averaging method was used. As moored data between 2009 and 2019 represented 70% of data for a given day of the year but approximately 1\/7 of the 66 year temperature record, a novel data source ratio was implemented to avoid bias toward warmer recent years. Data were organized into their corresponding observed years, and a ratio of 6:1 between bottle and mooring observation years was enforced. To assess the methodology, the steps provided here were tested using synthetically-created temperature data with similar properties to the real observations. The lowest root mean square errors calculated between the known synthetic climatology statistics and the different solution-dependent synthetic climatology statistics confirmed the methodology. The resulting daily temperature climatology shows the seasonal cycle as a function of depth, related to changes in stratification and vertical mixing, and allows for the identification of temperature anomalies. The methodology presented in this paper is readily applicable to other sites across Australia and worldwide where long records exist consisting of multiple data sets with varying sampling characteristics. - , - Refereed - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Best Practice - , - 2019-12-02 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1393", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1393", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1393", "url": "https:\/\/hdl.handle.net\/11329\/1393" }, "author": [ { "@type": "Person", "name": "Hemming, Michael Paul" }, { "@type": "Person", "name": "Roughan, Moninya" }, { "@type": "Person", "name": "Schaeffer, Amandine" } ], "keywords": [ "National Reference Site", "ANMN mooring", "Data product", "East Australian Current", "Daily climatology", "percentiles", "Subsurface", "Multi-platform", "Percentiles", "Statistics", "Australian National Reference mooring sites", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Environment", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::thermistor chains", "Data Management Practices::Data acquisition", "Data Management Practices::Data aggregation", "Data Management Practices::Data analysis", "Data Management Practices::Data delivery", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/933", "name": "Simulation and assimilation of global ocean pCO2 and air\u2013sea CO2 fluxes using ship observations of surface ocean pCO2 in a simplified biogeochemical offline model.", "description": " - We used an offline tracer transport model, driven by reanalysis ocean currents and coupled to a simple biogeochemical model, to synthesize the surface ocean pCO2 and air\u2013sea CO2 flux of the global ocean from 1996 to 2004, using a variational assimilation method. This oceanic CO2 flux analysis system was developed at the National Institute for Environmental Studies (NIES), Japan, as part of a project that provides prior fluxes for atmospheric inversions using CO2 measurements made from an on-board instrument attached to the Greenhouse gas Observing SATellite (GOSAT). Nearly 250 000 pCO2 observations from the database of Takahashi et al. (2007) have been assimilated into the model with a strong constraint provide by ship-track observations while maintaining a weak constraint of 20% on global averages of monthly mean pCO2 in regions where observations are limited. The synthesized global air\u2013sea CO2 flux shows a net sink of 1.48 PgC yr\u22121. The Southern Ocean air\u2013sea CO2 flux is a sink of 0.41 PgC yr\u22121. The interannual variability of synthesized CO2 flux from the El Nino region suggests a weaker source (by an amplitude of 0.4 PgC yr \u02dc \u22121) during the El Nino events in 1997\/1998 and 2003\/2004. The assimilated air\u2013sea CO \u02dc 2 flux shows remarkable correlations with the CO2 fluxes obtained from atmospheric inversions on interannual time-scales. - , - Model Data: https:\/\/www.nodc.noaa.gov\/archive\/arc0102\/0157733\/1.1\/data\/0-data\/ - , - Refereed - , - Inorganic carbon - , - Stable carbon isotopes - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/933", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/933", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/933", "url": "https:\/\/hdl.handle.net\/11329\/933" }, "author": [ { "@type": "Person", "name": "Valsala, Vinu" }, { "@type": "Person", "name": "Maksyutov, Shamil" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/243", "name": "ICES Guidelines for Surface Drifting Buoy data. (Compiled March 20001; revised August 2006) [(September 2024) The ICES guidelines for surface drifting buoy data have been retired. ICES recommend following the data guidance provided by the Data Buoy Cooperation Panel (DBCP; https:\/\/www.ocean-ops.org\/dbcp\/data\/qc.html]", "description": " - Drifting buoys (UNESCO, 1988) have a long history of use in oceanography, starting in late 1978 with the First GARP Global Experiment (FGGE), principally for the mea surement of currents by following the motions of floats attached to some form of sea anchor or drogue. Since 1988, over 1500 Lagrangian drifters have been deployed in the world oceans in the Surface Velocity Program (SVP) of the World Ocean Circulation Ex periment (WOCE) and the Tropical Ocean and Global Atmosphere Program (TOGA). The buoys were standardised in 1991, with small spherical hull and floats, and large Holey - Sock drogue centred at 15 meters below the surface. Since 1993, Lagrangian Drifters wi th barometer ports and other sensors, including thermistor chains, have been in operation. Separate guidelines are available for Profiling Floats that record sub - surface variables. - , - Published - , - Surface currents - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/243", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/243", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/243", "url": "https:\/\/hdl.handle.net\/11329\/243" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Drifting buoy", "Currents", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1769", "name": "The MPA Guide Decision Tree: Level of Protection, Version 1. (September, 2021).", "description": " - Decision tree to determine the protection Level of Protection of an MPA, or zone within a multizone MPA, based on activities that are allowed or disallowed. Answers to questions in this decision tree lead sequentially to categorizing an MPA or MPA zone into one of four Levels of Protection: Fully, Highly, Lightly, or Minimally, based on maximum allowed impact of seven different types of activities - , - Refereed - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1769", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1769", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1769", "url": "https:\/\/hdl.handle.net\/11329\/1769" }, "author": [ { "@type": "Person", "name": "Grorud-Colvert, K." }, { "@type": "Person", "name": "et al" } ], "keywords": [ "Marine conservation", "Marine Protected Areas (MPA)", "Decision tree", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/459", "name": "Marine Spatial Planning: a step-by-step approach toward ecosystem-based management. Intergovernmental Oceanographic Commission and Man and the Biosphere Programme.", "description": " - In this guide, we use a clear, straightforward step-by-step approach to show you how you can set up and apply MSP. Most steps are illus- trated with relevant examples from the real world. To make sure you have the information you need, throughout the text we refer you to more detailed sources, including the Unesco website on MSP (ioc3.unesco.org\/marinesp) that can further support you in making good decisions in MSP. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/459", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/459", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/459", "url": "https:\/\/hdl.handle.net\/11329\/459" }, "author": [ { "@type": "Person", "name": "Ehler, Charles" }, { "@type": "Person", "name": "Douvere, Fanny" } ], "contributor": [ { "@type": "Organization", "name": "Unesco" } ], "keywords": [ "Marine spatial management", "MSP", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1930", "name": "Rosette water sampling R\/V Dr. Fridtjof Nansen.", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, this protocol describes the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - Subsurface salinity - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Concept - , - Organisational - , - Seabird 911plus CTD - , - SBE 32 Carousel - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1930", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1930", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1930", "url": "https:\/\/hdl.handle.net\/11329\/1930" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research" } ], "keywords": [ "Water column temperature and salinity", "Other physical oceanographic measurements", "Chemical oceanography", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/385", "name": "Shipboard ADCP Measurements", "description": " - Ship-mounted acoustic Doppler current profilers (ADCP) have been used for over 25 years, and have been available on most research ships for much of that time. They are easy to operate on a routine basis, permitting nearly continuous monitoring of upper ocean current structure beneath each ship. Nevertheless, their potential has not been fully realized for a variety of reasons, including data degradation because of poor system installations; lack of monitoring to detect and correct system faults; lack of attention to data processing and archiving; and lack of clearance to make measurements in foreign EEZs. The purpose of this document is to provide a starting point, an introduction, for those who may wish to improve the future usefulness of shipboard ADCPs. Additional historical background and detail may be found in the predecessor to this document (WHPO, 1994) and in King et al., 2001. More up-to-date details about the relevant hardware and software will typically be found in evolving documents on the web, some of which will be referenced here. In some cases, the interested reader may need to make personal inquiries in order to get the latest information - , - Published - , - Data were collected and made publicly available by the International Global Ship-based Hydrographic Investigations Program and the national programs that contribute to it - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/385", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/385", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/385", "url": "https:\/\/hdl.handle.net\/11329\/385" }, "author": [ { "@type": "Person", "name": "Firing, E." }, { "@type": "Person", "name": "Hummon, J.M." } ], "keywords": [ "Shipboard Acoustic Doppler Current Profiler", "ADCP", "GO-SHIP", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::acoustic backscatter sensors", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2274", "name": "Harnessing the Power of Community Science to Address Data Gaps in Arctic Observing: Invasive Species in Alaska as Case Examples.", "description": " - The Arctic is undergoing large-scale changes that are likely to accelerate in future decades such as introductions and expansions of invasive species. The Arctic is in a unique position to prevent new introductions and spread of existing invasive species by adopting policies and actions aimed at early detection. Responding to threats from invasive species to minimize impacts to ecosystems, communities, food security, and northern economies will necessitate extensive observations and monitoring, but resource managers often face decisions without having adequate data and resources at hand. Local observing programs such as citizen science and community-based monitoring programs present attractive methods for increasing observing capacity that span contributory and co-created approaches while raising awareness of an issue among stakeholders. While the co-created model has been widely applied and encouraged in the Arctic context, contributory citizen science programs offer an additional tool for addressing observing needs in the Arctic. We showcase three contributory citizen science programs related to freshwater, terrestrial, and marine environments that have supported the objectives of the Alaska Invasive Species Partnership. We discuss criteria for achieving ARIAS priority actions at the participant scale related to participants' motivation and participants' understanding of the value of their contributions, at the programmatic scale, for example promoting accessible, reciprocal, and transparent knowledge exchange, and at the policy and science scale where management action is data driven. The approach is aimed at successful integration of citizen science into Arctic policy making. Finally, we discuss challenges related to broader global data collection and future directions for contributory citizen science within Arctic observing networks. - , - Refereed - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2274", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2274", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2274", "url": "https:\/\/hdl.handle.net\/11329\/2274" }, "author": [ { "@type": "Person", "name": "Schwoerer, Tobias" }, { "@type": "Person", "name": "Spellman, Katie V." }, { "@type": "Person", "name": "Davis, Tammy J." }, { "@type": "Person", "name": "Lee, Olivia" }, { "@type": "Person", "name": "Martin, Aaron" }, { "@type": "Person", "name": "Mulder, Christa P. H." }, { "@type": "Person", "name": "Swenson, Nicole Y." }, { "@type": "Person", "name": "Taylor, Audrey" }, { "@type": "Person", "name": "Winter, Genelle" } ], "keywords": [ "Citizen Science", "Community based science", "Cross-discipline", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1564.2", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: November 2016 to May 2018. Version 2.0.", "description": " - The East Australian Current (EAC) is a complex and highly energetic western boundary system in the south-western Pacific off eastern Australia. It provides both the western boundary of the South Pacific gyre and the linking element between the Pacific and Indian Ocean gyres. The EAC deepwater moorings consisted of an array of full-depth current meter and property (CTD) moorings from the continental slope to the abyssal waters off Brisbane (27oS). This report details the quality control applied to the data collected from the EAC array (deployed from November, 2016 to May, 2018). The quality controlled datasets are publicly available via the AODN Data Portal. The data should be used in conjunction with this report. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Surface Currents - , - Subsurface Salinity - , - Mature - , - Best Practice - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1564.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1564.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1564.2", "url": "https:\/\/hdl.handle.net\/11329\/1564.2" }, "author": [ { "@type": "Person", "name": "Lovell, Jenny" }, { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1475", "name": "Composting as an Alternative Management Strategy for Sargassum Drifts on Coastlines.", "description": " - Massive drifts of sargassum (Sargassum fluitans and Sargassum natans) float onto the United States Gulf, Atlantic, and European shorelines regularly throughout the spring and summer months. To maintain tourist appeal and subsequently, the tourism industry, the standard practice of Texas beach communities has been to mechanically remove the sargassum seaweed and integrate it into dunes along the shoreline or dispose of the material in the landfill. The purpose of this study was to evaluate the potential to manage the invasive species sargassum using composting and to test the quality of the resulting compost. This study used \u224812 yard3 of sargassum as a feedstock mixed with cafeteria food waste and local wood chips, using a total of \u224872 yard3 of feedstocks, to create nearly 25 yard3 of stabilized compost. The final compost products were of equal or higher quality to current compost standards. Therefore, this study determined that the composting and waste management industries can use sargassum as a feedstock to create a desirable compost product that could be used in the horticulture and agriculture industries, while helping to manage this invasive species. - , - Refereed - , - 14.5 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1475", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1475", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1475", "url": "https:\/\/hdl.handle.net\/11329\/1475" }, "author": [ { "@type": "Person", "name": "Sembera, Jen A" }, { "@type": "Person", "name": "Meier, Erica J." }, { "@type": "Person", "name": "Waliczek, Tina M." } ], "keywords": [ "Sargassum management", "Aquatic plant management", "Beach management", "Compost", "Sargassum fluitans", "Invasive species", "Sargassum natans", "Brown algae", "Seaweed", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2446", "name": "Standard Operating Procedure: Calibration of the AA3 Nutrient Analyzer, Revision 5.", "description": " - This Standard Operating Procedure is followed when calibrating the SEAL Analytical AutoAnalyzer 3 (AA3) in the Nutrient Laboratory at NOAA's Atlantic Oceanographic and Meteorological Laboratory. It describes the preparations of standards (stock A and stock B) and calibration sample setup. - , - Published - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - SEAL Analytical AutoAnalyzer 3 - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2446", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2446", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2446", "url": "https:\/\/hdl.handle.net\/11329\/2446" }, "contributor": [ { "@type": "Organization", "name": "NOAA Atlantic Oceanographic and Meteorological Laboratory" } ], "keywords": [ "Calibration", "Sample preparation", "Nutrients", "nutrient analysers", "colorimeters", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/74", "name": "Reference Guide to the GTS Sub-system of the Argos Processing System. Revision 1.6.", "description": " - GTS distribution. GTS codes, quality control; guides - , - A Reference Guide to the Argos GTS Processing Sub-system was prepared and issued at that time (DBCP Technical Document No. 2) to assist Principal Investigators (PIs) running Argos programmes and wishing their data to be distributed on the GTS; PIs and manufacturers intending to design Argos platforms and messages for GTS distribution; and GTS users who receive data from the Argos centres. This guide has recently been updated to reflect various changes that have been made in the last few years and to clarify certain issues. The guide should be read in conjunction with the Guide to Data Collection and Services Using Service Argos (DBCP Technical Document No. 3), which provides details of the structure of the sub-system, and provides background on the system's various applications. - , - http:\/\/www.jcommops.org\/doc\/satcom\/argos\/Argos-GTS-sub-system-ref-guide.pdf - , - Publication OK - can be updated if necessary - , - Should be read in conjunction with the Guide to Data Collection and Services Using Service Argos (DBCP-TD-03). - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/74", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/74", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/74", "url": "https:\/\/hdl.handle.net\/11329\/74" }, "author": [ { "@type": "Person", "name": "Data Buoy Cooperation Panel" } ], "contributor": [ { "@type": "Organization", "name": "WMO and IOC" } ], "keywords": [ "GTS Argos" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1162", "name": "Draft OpenGIS Web Notification Service Implementation Specification. Version 0.0.9.", "description": " - This OpenGIS\u00a9 document specifies interfaces for requesting information describing the capabilities of a Web Notification Service, for managing registrations at such a service, for sending messages to registered users and for retrieving cached messages. It also proposes a common notification mechanism for OGC web services. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1162", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1162", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1162", "url": "https:\/\/hdl.handle.net\/11329\/1162" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2139", "name": "A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images.", "description": " - Underwater images are often acquired in sub-optimal lighting conditions, in particular at profound depths where the absence of natural light demands the use of artificial lighting. Low-lighting images impose a challenge for both manual and automated analysis, since regions of interest can have low visibility. A new framework capable of significantly enhancing these images is proposed in this article. The framework is based on a novel dehazing mechanism that considers local contrast information in the input images, and offers a solution to three common disadvantages of current single image dehazing methods: oversaturation of radiance, lack of scale-invariance and creation of halos. A novel low-lighting underwater image dataset, OceanDark, is introduced to assist in the development and evaluation of the proposed framework. Experimental results and a comparison with other underwater-specific image enhancement methods show that the proposed framework can be used for significantly improving the visibility in low-lighting underwater images of different scales, without creating undesired dehazing artifacts. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2139", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2139", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2139", "url": "https:\/\/hdl.handle.net\/11329\/2139" }, "author": [ { "@type": "Person", "name": "Marques, Tunai Porto" }, { "@type": "Person", "name": "Branzan Albu, Alexandra" }, { "@type": "Person", "name": "Hoeberechts, Maia" } ], "keywords": [ "Underwater images", "Image enhancement", "Image dehazing", "Underwater image analysis", "Underwater photography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/423", "name": "Global Intercomparability in a Changing Ocean: an international time-\u00adseries methods workshop, November 28-\u00ad30, 2012 (Bermuda Institute of Ocean Sciences, St. Georges, Bermuda).", "description": " - To address methodological approaches and data intercomparability across shipboard time-\u00ad\u2010series... This workshop focused specifically on the methods employed by each time-\u00adseries with the aim of enhancing data comparability between sites. The workshop goals include the following: \u2022 Review current oceanographic time-\u00adseries core sampling and analytical methodologies and rationale behind protocol differences \u2022 To the extent possible, attempt to define standardized methods applicable across time-series \u2022 Attempt to reconcile differences in variable nomenclature \u2022 Examine new techniques available for more accurate and simplified measurements \u2022 Explore the roles of autonomous sensors in improving and expanding time-series measurements \u2022 Coordinate a best practices publication to facilitate data inter-\u00adcomparison across time-series site - , - Published - , - Report contributors: N. Bates, C. Carlson, C.Chandler, M. Church, M. Conte, A. Dickson, B. Fiedler, K. Isensee, M. Ishii, K. Johnson, O. Kawka, A.K\u00f6rtzinger, R. Lampitt, R. Letelier, M. Lomas, V. Lutz, F. Muller-\u00adKarger, M. Telszewski, L. Valdes - , - Refereed - , - Current - , - SDG14.1 - , - SDG14.2 - , - SDG14.3 - , - Salinity - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Particulate matter - , - Dissolved organic carbon - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/423", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/423", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/423", "url": "https:\/\/hdl.handle.net\/11329\/423" }, "contributor": [ { "@type": "Organization", "name": "Ocean Carbon and Biogeochemistry (OCB) Program and International Ocean Carbon Coordination Project (IOCCP)" } ], "keywords": [ "Autonomous sensors", "Shipboard sampling", "Time series meansurements", "Fluorescence", "Pigments", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::Biological and biogeochemical models" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/455", "name": "Seafloor Mapping Field Manual for Multibeam Sonar [Version 1]. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-918]", "description": " - This manual refers to the use of multibeam or interferometric echosounders (referred herein as just multibeam or MBES) to conduct surveys of seafloor bathymetry and backscatter that can be used to derive maps of geomorphic features and habitats. It does not mandate use of a specific multibeam acoustic system (either an interferometric or beamforming multibeam). The examples given herein refer to Kongsberg systems merely as an exemplar of the procedure to be conducted. Similarities can be drawn from these examples to any particular MBES system being employed on the survey. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.a - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/455", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/455", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/455", "url": "https:\/\/hdl.handle.net\/11329\/455" }, "author": [ { "@type": "Person", "name": "Lucieer, V" }, { "@type": "Person", "name": "Picard, K" }, { "@type": "Person", "name": "Siwabessy, J" }, { "@type": "Person", "name": "Jordan, A" }, { "@type": "Person", "name": "Tran, M" }, { "@type": "Person", "name": "Monk, J" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine Biodiversity Hub" } ], "keywords": [ "Bathymetry", "Seafloor surveys", "Seafloor backscatter", "Parameter Discipline::Marine geology::Sonar and seismics", "Parameter Discipline::Marine geology::Gravity, magnetics and bathymetry", "Parameter Discipline::Marine geology::Rock and sediment physical properties", "Instrument Type Vocabulary::multi-beam echosounders", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/345.2", "name": "IOC Strategic Plan for Ocean Data and Information Management (2023\u20132029).", "description": " - The purpose of the Intergovernmental Oceanographic Commission of UNESCO is to promote international cooperation and to coordinate programmes in research, services and capacitybuilding, in order to learn more about the nature and resources of the ocean and coastal areas and to apply that knowledge for the improvement of management, sustainable development, the protection of the marine environment, and the decision-making processes of its Member States. (IOC Statutes, Article 2.1). The IOC strategy for Ocean Data and Information Management has been regularly developed and published in the IOC Manuals and Guides series since 2008. In 2017, the IOC Strategic Plan 2017\u20132021 provided a vision and concept for delivering an ocean data and information service for the \u201cglobal ocean commons\u201d. In 2021, the IODE Committee, at its 26th Session, called for the revision of the IOC Strategic Plan for Oceanographic Data and Information Management taking into account important developments within and outside IOC such as the IOC Medium-Term Strategy (2022\u20132029), and the UN Decade of Ocean Science for Sustainable Development (2021\u20132030) as well as the developments in data technology that offers new opportunities. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/345.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/345.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/345.2", "url": "https:\/\/hdl.handle.net\/11329\/345.2" }, "author": [ { "@type": "Person", "name": "Rickards, Lesley" }, { "@type": "Person", "name": "Pissierssens, Peter" }, { "@type": "Person", "name": "Reed, Greg" }, { "@type": "Person", "name": "Scott, Lucy" }, { "@type": "Person", "name": "Simpson, Pauline" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Information management", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data management planning and strategy development", "Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data exchange", "Data Management Practices::Data policy development", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1893", "name": "The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea.", "description": " - With a rapidly increasing capacity of electricity generation from wind power, the demand for accurate power production forecasts is growing. To date, most wind power installations have been onshore and thus most studies on production forecasts have focused on onshore conditions. However, as offshore wind power is becoming increasingly popular it is also important to assess forecast quality in offshore locations. In this study, forecasts from the high-resolution numerical weather prediction model AROME was used to analyze power production forecast performance for an offshore site in the Baltic Sea. To improve the AROME forecasts, six post-processing methods were investigated and their individual performance analyzed in general as well as for different wind speed ranges, boundary layer stratifications, synoptic situations and in low-level jet conditions. In general, AROME performed well in forecasting the power production, but applying smoothing or using a random forest algorithm increased forecast skill. Smoothing the forecast improved the performance at all wind speeds, all stratifications and for all synoptic weather classes, and the random forest method increased the forecast skill during low-level jets. To achieve the best performance, we recommend selecting which method to use based on the forecasted weather conditions. Combining forecasts from neighboring grid points, combining the recent forecast with the forecast from yesterday or applying linear regression to correct the forecast based on earlier performance were not fruitful methods to increase the overall forecast quality. - , - Refereed - , - 14.a - , - 7.1 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1893", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1893", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1893", "url": "https:\/\/hdl.handle.net\/11329\/1893" }, "author": [ { "@type": "Person", "name": "Hallgren, Christoffer" }, { "@type": "Person", "name": "Ivanell, Stefan" }, { "@type": "Person", "name": "K\u00f6rnich, Heiner" }, { "@type": "Person", "name": "Vakkari, Ville" }, { "@type": "Person", "name": "Sahl\u00e9e, Erik" } ], "keywords": [ "Wind power production", "Meteorology", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2574", "name": "User\u2019s Manual: WP13 Microplastics Sampler. Version 01.", "description": " - This document is the User Manual of the microplastic sampler developed within the TechOceanS project. The sampler was designed to enable a high (100+) potential number of samples to be facilitated. The version described in this document can carry out autonomous sampling from a sample line. The system only requires power to be provided. User defined timings, volumes and flows are input through a programmable interface during set-up which directs the subsequent operation. As the system operates each new filtered sample is covered and archived so that upon retrieval of the system they remain uncontaminated and can be later processed. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Pilot or Demonstrated - , - Multi-organisational - , - Microplastics sampler prototype NOC - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2574", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2574", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2574", "url": "https:\/\/hdl.handle.net\/11329\/2574" }, "author": [ { "@type": "Person", "name": "Morris, Andrew" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Microplastics", "Sampling", "Marine sampler", "Anthropogenic contamination", "PCBs and organic micropollutants", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/505", "name": "Developments in marine pCO2 measurement technology; towards sustained in situ observations.", "description": " - The oceanic uptake of anthropogenic CO2 causes pronounced changes to the marine carbonate system. High quality pCO2 measurements with good temporal and spatial coverage are required to monitor the oceanic uptake, identify regions with pronounced carbonate system changes, and observe the effectiveness of CO2 emission mitigation strategies. There are currently several instruments available, but many are unsuitable for autonomous deployments on in situ platforms such as gliders, moorings and Argo floats.We assess currently available technology on its suitability for in situ deployment, with a focus on optode technology developments. Optodes for pCO2 measurements provide a promising new technological approach, and were successfully calibrated over the range of 280e480 matm applying modified time-domain dual lifetime referencing. A laboratory precision of 0.8 matm (n \u00bc 10) and a response time (t90) of 165 s were achieved, and with further development pCO2 optodes may become as widely used as their oxygen counterparts. - , - Refereed - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/505", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/505", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/505", "url": "https:\/\/hdl.handle.net\/11329\/505" }, "author": [ { "@type": "Person", "name": "Clarke, Jennifer S." }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Connelly, Douglas P." }, { "@type": "Person", "name": "Schuster, Ute" }, { "@type": "Person", "name": "Mowlem, Matthew" } ], "keywords": [ "pCO2", "Optodes", "In-situ observations", "Seawater analysis", "Sensors", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/94", "name": "Guide to Specialized Oceanographic Centres (SOC).", "description": " - oceanographic data; data collection; data exchange; guides - , - The purpose of this Guide is to explain the role and functions of the Specialized Oceanographic Centres (SOCs) of the ,Joint IOC-WMO Integrated Global Ocean Services System (IGOSS), to detail the two types of SOCs and to describe the procedure for establishing them. - , - http:\/\/unesdoc.unesco.org\/images\/0007\/000795\/079564eo.pdf - , - IODE & JCOMM to pepare a new system - the status of RNODCs & SOC need to bechecked; see also IOC No. 9 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/94", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/94", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/94", "url": "https:\/\/hdl.handle.net\/11329\/94" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Specialized Oceanographic Centres (SOC)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/80", "name": "Wave Reporting Procedures for Tide Observers in the Tsunami Warning System.", "description": " - The purpose of this publication is to provide general information and specific instructions to aid tide observers in reporting tsunamis. The Tsunami Warning System in the Pacific is an international system which makes use of more than 67 seismic stations, 67 tide stations and 51 dissemination points scattered throughout the Pacific basin. These facilities are under the varying control of the many Member States of IOC, with general guidance provided by the IOC through its International Co-ordination Group for the Tsunami Warning System in the Pacific (ICG-ITSU) and the International Tsunami Information Centre. Information from the network of stations is transmitted to the Pacific Tsunami Warning Centre where it is analysed and relayed as tsunami watches and warnings to civil defense organizations, meteorological and other local governmental offices that have been designated to receive the information by the participating countries, territories, and administrative areas throughout the Pacific. Effectiveness of the system results in a large measure from the prompt and accurate reports of the observers who staff the tide and seismic stations of the network. - , - http:\/\/unesdoc.unesco.org\/images\/0005\/000599\/059966eo.pdf - , - to be updated by IOC - see also JCOMM 30 - , - International Co-ordination Group for the Tsunami Warning System in the Pacific (ICG-ITSU) and the International Tsunami Information Centre - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/80", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/80", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/80", "url": "https:\/\/hdl.handle.net\/11329\/80" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Wave measurement", "Tsunami warning system", "Reporting procedures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1306", "name": "North Atlantic Ocean OSSE system: Evaluation of operational ocean observing system components and supplemental seasonal observations for potentially improving tropical cyclone prediction in coupled systems.", "description": " - Observing System Simulated Experiments (OSSEs) performed during the 2014 North Atlantic hurricane season quantify ocean observing system impacts with respect to improving ocean model initialisation in coupled tropical cyclone (TC) prediction systems. The suitability of the OSSE system forecast model (FM) with respect to the previously validated Nature Run is demonstrated first. Analyses are then performed to determine the calibration required to obtain credible OSSE impact assessments. Impacts on errors and biases in fields important to TC prediction are first quantified for three major components of the existing operational ocean observing system. Satellite altimetry provides the greatest positive impact, followed by Argo floats and sea surface temperature measurements from both satellite and in-situ systems. The OSSE system is then used to investigate observing system enhancements, specifically regional underwater glider deployments during the 2014 hurricane season. These deployments resulted in modest positive impacts on ocean analyses that were limited by (1) errors in the horizontal structure of the increment field imposed by individual gliders and (2) memory loss in the spreading of these corrections by nonlinear model dynamics. The high-resolution, threedimensional representation of the truth available in OSSE systems allows these issues to be studied without high-density ocean observations. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1306", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1306", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1306", "url": "https:\/\/hdl.handle.net\/11329\/1306" }, "author": [ { "@type": "Person", "name": "Halliwell Jr., George R." }, { "@type": "Person", "name": "Mehari, Michael F." }, { "@type": "Person", "name": "Le H\u00e9naff, Matthieu" }, { "@type": "Person", "name": "Kourafalou, Villy H." }, { "@type": "Person", "name": "Androulidakis, Ioannis S." }, { "@type": "Person", "name": "Kang, Hee Sook" }, { "@type": "Person", "name": "Atlas, Robert" } ], "keywords": [ "Tropical cyclone prediction", "OSSE (Observing System Simulation Experiment)", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere::Meteorology", "OSSE" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2595", "name": "Environmental Test Methods for Oceanographic Instruments -- Part 7: Cyclic Damp-Heat Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures and relevant information pertaining to the cyclic damp-heat test for marine instruments. This part is used to examine or determine the adaptability of marine instruments when used or stored under damp-heat environment conditions with cyclic changes in temperature and condensation produced on the product surface. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2595", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2595", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2595", "url": "https:\/\/hdl.handle.net\/11329\/2595" }, "author": [ { "@type": "Person", "name": "Lu, Xiaodong" }, { "@type": "Person", "name": "Zhang, Yanpu" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Oceanographic instruments", "Environmental testing", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2260", "name": "Marine snow morphology illuminates the evolution of phytoplankton blooms and determines their subsequent vertical export.", "description": " - The organic carbon produced in the ocean\u2019s surface by phytoplankton is either passed through the food web or exported to the ocean interior as marine snow. The rate and efficiency of such vertical export strongly depend on the size, structure and shape of individual particles, but apart from size, other morphological properties are still not quantitatively monitored. With the growing number of in situ imaging technologies, there is now a great possibility to analyze the morphology of individual marine snow. Thus, automated methods for their classification are urgently needed. Consequently, here we present a simple, objective categorization method of marine snow into a few ecologically meaningful functional morphotypes using field data from successive phases of the Arctic phytoplankton bloom. The proposed approach is a promising tool for future studies aiming to integrate the diversity, composition and morphology of marine snow into our understanding of the biological carbon pump. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2260", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2260", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2260", "url": "https:\/\/hdl.handle.net\/11329\/2260" }, "author": [ { "@type": "Person", "name": "Trudnowska, Emilia" }, { "@type": "Person", "name": "Lacour, Leo" }, { "@type": "Person", "name": "Ardyna, Mathieu" }, { "@type": "Person", "name": "Rogge, Andreas" }, { "@type": "Person", "name": "Irisson, Jean Olivier" }, { "@type": "Person", "name": "Waite, Anya M." }, { "@type": "Person", "name": "Babin, Marcel" }, { "@type": "Person", "name": "Stemmann, Lars" } ], "keywords": [ "Marine snow", "Phytoplankton", "Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1754", "name": "Update to UNOLS Considerations for Conducting Seagoing Science. Version 1.7.", "description": " - The following information and guidance is provided as an update and adjustment to previous UNOLS Guidance related to conducting science onboard U.S. Academic Research Fleet vessels (see: 1June2020 UNOLS COVID-19 Considerations For Conducting Seagoing Science, 11May2021 Update to UNOLS COVID-19 Guidance, and 4June2021 Update to UNOLS Considerations for Conducting Seagoing Science). Those elements of the previous UNOLS Guidance not addressed in the following paragraphs remain in effect. - , - Published - , - Current - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1754", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1754", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1754", "url": "https:\/\/hdl.handle.net\/11329\/1754" }, "contributor": [ { "@type": "Organization", "name": "University National Oceanographic Laboratory System (UNOLS)" } ], "keywords": [ "Research Vessels", "COVID-19", "Health and Safety", "Safety", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2341", "name": "Improving Global and Regional Ocean Observing Through Best Practices and Standards.", "description": " - As many of us know, the oceans play a key role in global issues such as climate change, food security, and human health. However, there are challenges to a real understanding of the oceans including their vast dimensions and internal complexity, efficient monitoring and predicting of the planet\u2019s oceans evolutionary dynamics. Thus, the effort of ocean observing and analyses must be a collaborative effort of both regional and global scale. The first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. Thus, \u201cocean observing\u201d are all activities of the value chain from preparing and conducting observations to impacts on society through applications of information. To meet the urgent planet-wide challenges we face, common methods across all aspects of ocean observing should be broadly adopted by the ocean community and, where appropriate, should evolve into. Best Practices and Standards. Thus , these Best Practices and Standards not only make the life of individual scientists easier but also contribute to a better usage of the collected information by other groups and organizations across the value chain. - , - Non Refereed - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2341", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2341", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2341", "url": "https:\/\/hdl.handle.net\/11329\/2341" }, "author": [ { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Pearlman, Francoise" }, { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Hoerstmann, Cora" } ], "keywords": [ "Best practices", "Cross-discipline", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2292", "name": "10,000m rated Underwater Glider. Version 2.0.", "description": " - For the observation of the Hadal trenches with a great depth and large scale, we have developed a 10,000m rated underwater glider, Petrel-X, which can realize low-cost, large-scale and full-depth marine observation by continuous gliding profiles. It can cover the shortage in observation time and scale of existing underwater vehicles, including ROVs, HOVs and ARVs. - , - Published - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2292", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2292", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2292", "url": "https:\/\/hdl.handle.net\/11329\/2292" }, "author": [ { "@type": "Person", "name": "Wang, Shuxin" }, { "@type": "Person", "name": "Wang, Yanhui" }, { "@type": "Person", "name": "Yang, Shaoqiong" }, { "@type": "Person", "name": "Niu, Wendong" }, { "@type": "Person", "name": "Ma, Wei" }, { "@type": "Person", "name": "Wang, Peng" }, { "@type": "Person", "name": "Chen, Fangfang" }, { "@type": "Person", "name": "Jiang, Fan" }, { "@type": "Person", "name": "Yuan, Lingling" }, { "@type": "Person", "name": "Miao, Zhanzhan" } ], "contributor": [ { "@type": "Organization", "name": "National Center of Ocean Standards and Metrology (NCOSM)" } ], "keywords": [ "Underwater gliders", "Low cost", "Other physical oceanographic measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2631", "name": "Data quality control documentation for coastal wave buoys, Version 1.0.", "description": " - Sustained, near real-time (NRT) observations of waves in coastal regions are an essential prerequisite to monitor, predict, and forecast coastal hazards that threaten coastal populations, infrastructure and marine operations. Additionally, NRT temperature observations in coastal regions are required to understand the impacts of environmental disturbances (both extreme events and long-term changes) on coastal ecosystems. To address this observational gap around Australia\u2019s coastline, the Integrated Marine Observing System (IMOS) created the Coastal Wave Buoy facility in 2024. As of December 2025, the wave buoy network consists of 23 sites situated at strategic, high-priority locations throughout Australia\u2019s coastal waters (10-70 m depths). The IMOS Coastal Wave Buoy observation platform is the Sofar Spotter, a small-format GNSS (Global Navigation Satellite System) wave buoy with a temperature sensor embedded into the bottom of the hull. The Spotter collects GNSS data at 2.5 Hz and then performs on-board spectral analysis to produce timeseries of integrated and spectral wave parameters. Surface water temperature is collected at 1 Hz and averaged every minute on-board. The wave and temperature measurements are recorded locally on the buoy\u2019s internal memory card (delayed mode, DM), whereas summarised wave and temperature statistics (including spectral wave parameters) are transmitted to Sofar\u2019s cloud platform via cellular and\/or satellite Iridium networks (near real-time, NRT). This document outlines the data management and quality control steps that are used to post-process raw data collected by the wave buoys and to archive it on Australia\u2019s Ocean Data Network (AODN). The IMOS Coastal Wave Buoy facility supports both NRT and DM data streams, each of which undergoes quality control and assessment in accordance with best-practice guidelines outlined by the Integrated Ocean Observing System (IOOS) before being archived on AODN. To facilitate wider use of these data processing workflows by other organisations in Australia and globally, the IMOS Coastal Wave Buoy code repository is publicly available on GitHub. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Sea state - , - Sea surface temperature - , - Mature - , - Multi-organisational - , - National - , - Sea state - , - Sea surface temperature - , - Directional Waves - , - Wave height - , - Sofar Spotter Sensor - , - Sofar Temperature Sensor - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2631", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2631", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2631", "url": "https:\/\/hdl.handle.net\/11329\/2631" }, "author": [ { "@type": "Person", "name": "Cuttler, Michael" }, { "@type": "Person", "name": "Caminha, Thiago" }, { "@type": "Person", "name": "Hansen, Jeff" }, { "@type": "Person", "name": "Hatcher, Matt" }, { "@type": "Person", "name": "Lowe, Ryan" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Physical oceanography", "Waves", "Water column temperature and salinity", "wave recorders", "water temperature sensor", "Data processing", "Data acquisition", "Data quality management", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1378", "name": "Method for testing marine anemometers.", "description": " - This standard specifies the test items, test equipment, test procedures and test report of marine anemometers (hereinafter referred to as \u201canemometers\u201d). This standard is applicable to test propeller anemometers and two-dimensional ultrasonic anemometers with wind velocity measurement ranges of 0\u201375 m\/s. The testing of wind sensors may also refer to this standard. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1378", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1378", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1378", "url": "https:\/\/hdl.handle.net\/11329\/1378" }, "author": [ { "@type": "Person", "name": "Yu, Jianqing" }, { "@type": "Person", "name": "Weng, Dexian" }, { "@type": "Person", "name": "Zhu, Liping" }, { "@type": "Person", "name": "Zhang, Yuehong" }, { "@type": "Person", "name": "Qin, Xinpei" } ], "contributor": [ { "@type": "Organization", "name": "Ministry of Natural Resources" } ], "keywords": [ "Anemometers", "Wind direction", "Measurement", "Parameter Discipline::Atmosphere::Meteorology", "Instrument Type Vocabulary::anemometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/111.2", "name": "Technical Regulations: Basic Documents No. 2. Volume I \u2013 General Meteorological Standards and Recommended Practices. 2019 edition.", "description": " - 1.The Technical Regulations (WMO\u2011No. 49) of the World Meteorological Organization are presented in three volumes:Volume I \u2013 General meteorological standards and recommended practices Volume II \u2013 Meteorological service for international air navigation Volume III \u2013 Hydrology. Purpose of the Technical Regulations 2. The Technical Regulations are determined by the World Meteorological Congress in accordance with Article 8 (d) of the Convention. 3. These Regulations are designed: (a) To facilitate cooperation in meteorology and hydrology among Members; (b) To meet, in the most effective manner, specific needs in the various fields of application of meteorology and operational hydrology in the international sphere; (c) To ensure adequate uniformity and standardization in the practices and procedures employed in achieving (a) and (b) above. Types of Regulations 4. The Technical Regulations comprise standard practices and procedures, recommended practices and procedures, and references to constants, definitions, formulas and specifications. 5. The characteristics of these three types of Regulations are as follows: The standard practices and procedures: (a) Shall be the practices and procedures that Members are required to follow or implement; (b) Shall have the status of requirements in a technical resolution in respect of which Article 9 (b) of the Convention is applicable; (c) Shall invariably be distinguished by the use of the term shall in the English text, and by suitable equivalent terms in the Arabic, Chinese, French, Russian and Spanish texts. The recommended practices and procedures: (a) Shall be the practices and procedures with which Members are urged to comply; (b) Shall have the status of recommendations to Members, to which Article 9 (b) of the Convention shall not be applied; (c) Shall be distinguished by the use of the term should in the English text (except where otherwise provided by decision of Congress) and by suitable equivalent terms in the Arabic, Chinese, French, Russian and Spanish texts. References to constants, definitions, formulas and specifications: Members should use the definitions, formulas, values of constants and specifications indicated in the relevant Guides published by the Organization. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/111.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/111.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/111.2", "url": "https:\/\/hdl.handle.net\/11329\/111.2" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorology", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1095", "name": "NetCDF file format checker for Argo floats, Copernicus In Situ TAC, EGO gliders, OceanSITES, Version 1.15 with new rule files.", "description": " - This java tool checks the format of a NetCDF file and produces a report of conformity with: Argo floats NetCDF formats EGO gliders NetCDF formats OceanSITES NetCDF formats, with Copernicus implementation (valid rules :A_CF*.xml & B_CF*.xml) OCO NetCDF formats (coastal operational oceanography) DBCP drifting buoys The NetCDF format checker is flexible, you may add your own format rules in the RULES directory. Each file format is specified in an XML rules file. - , - Contributors: Rannou, Jean-Philippe' Gourcuff, Claire; Carval, Thierry; Fontaine, Laure - , - 14 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1095", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1095", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1095", "url": "https:\/\/hdl.handle.net\/11329\/1095" }, "contributor": [ { "@type": "Organization", "name": "Seanoe" } ], "keywords": [ "DBCP drifters", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2621", "name": "Report on improved procedures from O2 sensor purchase to data dissemination . MINKE Deliverable D9.7. Version 1.0.", "description": " - This document provides a comprehensive end-to-end guide for the selection, deployment, calibration, data management, and dissemination of dissolved oxygen (O\u2082) sensors in oceanographic monitoring. It outlines five major stages: (1) needs assessment and sensor selection, (2) sensor preparation and calibration (including use of the EMSO-ERIC calibration bench), (3) deployment and maintenance at sea, (4) data collection, qualification, QA\/QC and uncertainty assessment, and (5) data dissemination and community feedback. The report emphasizes the integration of metrological best practices and promotes improved traceability and data quality for Essential Ocean Variables, in line with the objectives of the MINKE project. It also includes detailed flowcharts, sensor comparisons, and operational guidelines for field and lab work. - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Current - , - 14.a - , - Oxygen - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - Dissolved oxygen sensors - , - Method - , - Specification of criteria - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2621", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2621", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2621", "url": "https:\/\/hdl.handle.net\/11329\/2621" }, "author": [ { "@type": "Person", "name": "LeFevre, Dominique" }, { "@type": "Person", "name": "Chirugien, Laure" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Van Ganse, Sophie" }, { "@type": "Person", "name": "Hartman, Susan" }, { "@type": "Person", "name": "Ballot, Florence" }, { "@type": "Person", "name": "Gr\u00e9gori, G\u00e9rald" }, { "@type": "Person", "name": "Delory, Eric" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Dissolved gases", "dissolved gas sensors", "Data acquisition", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/632", "name": "Tidal analysis and prediction.", "description": " - The purpose of this book is to provide the reader with the knowledge required to carry out the most accurate tidal analysis and tidal prediction possible using any set of water level or current data that he or she may have available. The book is also intended to provide the reader with tools to interpret the analysis results with respect to the hydrodynamics (the physics of the water movement) of the bay or ocean from which the data were obtained, so that these results can best be used for particular oceanographic applications. Tidal analysis and prediction involves more than simply running a harmonic analysis program to obtain tidal harmonic constants and then putting them in a tidal prediction program. It requires understanding both the astronomical and the hydrodynamic aspects of the tide. Lack of such an understanding can lead to problems when performing a tidal analysis. A few examples of such problems are very briefly mentioned below (they are explained in more detail later in this book, and the technical terms used below are defined in Chapter 2). It is the astronomy, namely the relative periodic motions of the earth, moon, and sun, that determines the frequencies at which tidal energy is found. The contribution to the tide by the energy at each tidal frequency is usually represented by a tidal harmonic constituent, for which there will be an amplitude and a phase lag. The pairs of amplitudes and phase lags are referred to as harmonic constants. Which of these tidal constituents can be included in a harmonic analysis depends on the length of the data times series one has available. The longer the time series the more tidal constituents that can be included in the analysis and the more accurate the tidal predictions will be. Attempting to include in the analysis more tidal constituents than can be resolved with the available length of the time series can lead to erroneous results, or even to no results at all because in such cases numerical instability can cause the harmonic analysis program to fail ( \u201cblow up\u201d). Even when the appropriate tidal constituents are included in a harmonic analysis, one must remember that the energy of the tidal constituents that could not be included in the harmonic analysis (because they were too close in frequency to other larger tidal constituents) will still affect the constituents that were included in the analysis. As a result one may see errors, namely, differences between the tide predictions and the actual water level data, that slowly oscillate in time due to the missing tidal constituents. Such errors may be significant if one has analyzed only 15 days of data or even 29 days. It is the hydrodynamics of the ocean and bay that determines how large the tide or tidal current will be at a particular location, as well as the timing of high and low waters, maximum floods and ebbs, and slack waters. In shallow water the hydrodynamics becomes nonlinear, distorting the tide and adding new higher harmonic tidal constituents (overtides) and new tidal constituents within the semidiurnal tidal band (compound tides), some with the same frequencies as some of the original astronomically caused tidal constituents. Knowing whether an analyzed constituent is a compound Tidal Analysis and Prediction 2 tidal constituent or an astronomical tidal constituent (with the same frequency) can make a difference in the accuracy of the subsequent tide predictions, especially when making predictions for years other than the year whose data was used for the analysis. Shallow-water hydrodynamics also causes nonlinear interactions between the tide and nontidal phenomena such as river flow and wind-produced changes in water level (storm surges) and currents. For example, high river flow reduces the tide range and distorts the tide curve (modifying the astronomical tidal constituents and adding additional higher harmonic constituents, the overtides). And so, if water level data obtained during a time period with high river flow are analyzed and then tide predictions are made using the harmonic constants derived from those data, the predicted high waters will be too small throughout the rest of the year. Likewise data obtained during strong wind events may have tides that are modified by low-frequency storm surge and thus are not representative of the rest of the year. In most cases water level or current data are only available at a few distinct locations in a bay or along a coast. Often some of these locations have data times series that are not long enough to allow a useful harmonic analysis, so oceanographers developed other ways to extract tidal information from locations with short data time series. For decades this has been done nonharmonically, by simply comparing the high and low waters in water level data from the short stations (usually called subordinate stations, or secondary ports) with the high and low waters in predictions harmonically derived from longer stations (usually called reference stations, or standard ports). However, there can be severe limitations on how well this can work, due to the hydrodynamics of the location where the data were obtained. Although this book provides some \u201crules of thumb\u201d for carrying out tidal analysis and prediction, the intent is to go well beyond this. This book explains not just the \u201chow\u201d but also the \u201cwhy\u201d, namely it provides explanations of the astronomical causes of the tide and the hydrodynamic modifications of the tide, so the reader can determine how to maximize the accuracy of the analysis results and predictions. This understanding is also important for interpreting the analysis results. This book explains and illustrates all state-of-the-art tidal analysis and prediction methods presently in use, as well as the astronomical, hydrodynamic, and statistical theories behind them. This is not intended to be a complete textbook on tides. The emphasis here is on subjects the reader must understand in order to carry out accurate tidal analyses and to make skillful tidal predictions. However, in meeting this objective, the result is a reasonably complete study of the tides (with references for subjects not covered in detail). The book provides practical operational procedures, including considerations related to maximum analysis accuracy and maximum prediction skill. The book is written at an introductory level, so that the reader should need little background in tidal or oceanographic theory. With an eye toward the teaching aspects of this book, it begins with a general overview of the subject of tides, so that the reader can first see the big picture. Then as the material becomes more detailed, the reader will be able to understand that material within a larger context. Since the astronomical and hydrodynamic aspects of the subject affect each other, it was felt that such an overview should be given first, rather than simply jumping right into detailed astronomical theory followed by detailed hydrodynamic theory. Because of this approach, there may occasionally be some redundancy, as well as frequent references to other sections in the book. Although this book is written at a level accessible to the nonexpert, it is also hoped that tidal experts will still find of interest some of the topics that they may not have dealt with themselves. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/632", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/632", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/632", "url": "https:\/\/hdl.handle.net\/11329\/632" }, "author": [ { "@type": "Person", "name": "Parker, Bruce B." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal prediction", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1250", "name": "Best Practices for Fine-tuning Visual Classifiers to New Domains.", "description": " - Recent studies have shown that features from deep convolutional neural networks learned using large labeled datasets, like ImageNet, provide effective representations for a variety of visual recognition tasks. They achieve strong performance as generic features and are even more effective when fine-tuned to target datasets. However, details of the fine-tuning procedure across datasets and with different amount of labeled data are not well-studied and choosing the best fine-tuning method is often left to trial and error. In this work we systematically explore the design-space for fine-tuning and give recommendations based on two key characteristics of the target dataset: visual distance from source dataset and the amount of available training data. Through a comprehensive experimental analysis, we conclude, with a few exceptions, that it is best to copy as many layers of a pre-trained network as possible, and then adjust the level of fine-tuning based on the visual distance from source. - , - Published - , - Refereed - , - Current - , - 14.A - , - Zooplankton biomass and diversity - , - TRL 4 Component\/subsystem validation in laboratory environment - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1250", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1250", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1250", "url": "https:\/\/hdl.handle.net\/11329\/1250" }, "author": [ { "@type": "Person", "name": "Chu, Brian" }, { "@type": "Person", "name": "Madhavan, Vashisht" }, { "@type": "Person", "name": "Beijbom, Oscar" }, { "@type": "Person", "name": "Hoffman, Judy" }, { "@type": "Person", "name": "Darrell, Trevor" } ], "contributor": [ { "@type": "Organization", "name": "Springer" } ], "keywords": [ "Moorea Labeled Corals", "Imaging Flow Cytobot Data Plankton", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1908", "name": "Coastal Management Software to Support the Decision-Makers to Mitigate Coastal Erosion.", "description": " - There are no sequential and integrated approaches that include the steps needed to perform an adequate management and planning of the coastal zones to mitigate coastal erosion problems and climate change effects. Important numerical model packs are available for users, but often looking deeply to the physical processes, demanding big computational efforts and focusing on specific problems. Thus, it is important to provide adequate tools to the decision-makers, which can be easily interpreted by populations, promoting discussions of optimal intervention scenarios in medium to long-term horizons. COMASO (coastal management software) intends to fill this gap, presenting a group of tools that can be applied in standalone mode, or in a sequential order. The first tool should map the coastal erosion vulnerability and risk, also including the climate change e ects, defining a hierarchy of priorities where coastal defense interventions should be performed, or limiting\/constraining some land uses or activities. In the locations identified as priorities, a more detailed analysis should consider the application of shoreline and cross-shore evolution models (second tool), allowing discussing intervention scenarios, in medium to long-term horizons. After the defined scenarios, the design of the intervention should be discussed, both in case of being a hard coastal structure or an artificial nourishment (third type of tools). Finally, a cost-benefit assessment tool should optimize the decisions, forecasting costs and benefits for each di erent scenario, through definition of economic values to the interventions and to the land\/services\/ecosystems, weighting all the environmental, cultural, social and historical aspects. It is considered that COMASO tools can help giving answers to the major problems of the coastal planning and management entities, integrating transversal knowledge in risk assessment, physical processes, engineering and economic evaluations. The integrated coastal zone management needs these tools to ensure sustainable coastal zones, mitigating erosion and climate change effects. - , - Refereed - , - 14.5 - , - N\/A - , - Organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1908", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1908", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1908", "url": "https:\/\/hdl.handle.net\/11329\/1908" }, "author": [ { "@type": "Person", "name": "Coelho, Carlos" }, { "@type": "Person", "name": "Narra, Pedro" }, { "@type": "Person", "name": "Marinho, B\u00e1rbara" }, { "@type": "Person", "name": "Lima, M\u00e1rcia" } ], "keywords": [ "Risk assessment", "Coastal zone management", "Coastal structures", "Cost benefit assessment", "Artificial nourishments", "Shoreline evolution", "Sedimentation and erosion processes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/119", "name": "Manual on marine meteorological services.Volume I - Global aspects, (2012 edition).", "description": " - The Manual on Marine Meteorological Services (WMO-No. 558) is issued in accordance with a decision of the Eighth World Meteorological Congress. 1.2 This Manual is designed: (a) To facilitate cooperation in respect of the international coordination of marine meteorological services (MMS); (b) To specify obligations of Members in the implementation of MMS; (c) To ensure uniformity in the practices and procedures employed in achieving (a) and (b) above; (d) To facilitate the development of adequate support from World Weather Watch (WWW) to MMS. 1.3 The Manual is composed of Volumes I and II, dealing with global and regional aspects, respectively. Volume I is composed of four parts that contain the regulatory material dealing essentially with international obligations of Members to provide MMS for the high seas, coastal and off-shore areas, harbour approaches and ports. Additional obligations, if any, for national marine activities should be met according to local practices and procedures. - , - - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/119", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/119", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/119", "url": "https:\/\/hdl.handle.net\/11329\/119" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1602", "name": "MBON Pole to Pole of the Americas: Tools for the analysis of coastal biodiversity using OBIS and remote sensing data, 2-5 April 2019. OTGA Training Course MBON2019MEXICO.", "description": " - The MBON Pole to Pole aims to address the biodiversity priorities of various GEO initiatives, including Blue Planet and AmeriGEOSS, and coordinates with the Global Ocean Observing System (GOOS) of the Intergovernmental Oceanographic Commission of UNESCO and OBIS, and other national and international groups to serve the broadest possible community. This network will help nations and regions to improve conservation planning and environmental impact mitigation, serve the scientific community, and satisfy commitments to the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDG\u2019s). This second workshop builds on activities and achieved goals from a first meeting in Sao Sebastiao, Brazil, August 6-10, 2018. The purpose is to continue the development of a community of practice dedicated to understanding change in marine biodiversity and generating knowledge and products that inform conservation and management strategies of marine living resources by engaging researchers, managers and policy-makers with interest in biodiversity monitoring and data synthesis and analysis. During this workshop participants will: - Advance already agreed field sampling protocols for rocky shores and sandy beaches; - Manipulate tabular and spatial data already collected at their study sites for standardized data formats using Darwin Core vocabularies and quality controls; - Develop specific vocabularies for flora and fauna of rocky shore and sandy beach measured during field surveys; - Publish survey datasets to the Ocean Biogeographic Information System (OBIS) using tools for sharing data; - Advance knowledge on data science tools (R, Rmarkdown, Github) to mine data, visualize and analysis, and produce reproducible research documents with interactive visualizations onto the web. - , - 14.a - , - Invertebrate abundance and distribution - , - Community composition - , - Community structure - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1602", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1602", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1602", "url": "https:\/\/hdl.handle.net\/11329\/1602" }, "author": [ { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "Montes, Enrique" }, { "@type": "Person", "name": "Best, Ben" }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "Kavanaugh, Maria" }, { "@type": "Person", "name": "Lefcheck, Jonathan" }, { "@type": "Person", "name": "Benson, Abigail" }, { "@type": "Person", "name": "Habtes, Sennai" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Rilov, Gil" }, { "@type": "Person", "name": "Helmuth, Brian" }, { "@type": "Person", "name": "Seabra, Rui" } ], "keywords": [ "Biodiversity data", "Biota composition", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/448", "name": "Systematic global assessment of reef fish communities by the Reef Life Survey program.", "description": " - Discussion of the Reef Life Survey Methods Manual: https:\/\/www.oceanbestpractices.net\/handle\/11329\/447. Established in 2007 as a means to overcome the shortage of resources and capacity to provide quantitative data on marine species over large temporal and spatial scales, the Reef Life Survey (RLS) program has involved data collection by an international network of trained volunteer (or \u2018citizen\u2019) scientists and professional biologists largely acting in a voluntary capacity. Focussing on quality of outputs and consistency of data through selective inclusion and training of volunteer participants, rather than broader engagement of all interested, RLS fills a niche between other citizen science programs and large-scale professional initiatives such as the Census of Marine Life. The RLS program represents a marine analogue to well-organized and large-scale amateur bird watching programs (e.g., eBird and the Christmas Bird Count), but with a more structured quantitative sampling methodology than most. Through the long term, it aims to provide a biological equivalent to the synoptic picture of the physical parameters generated for the world\u2019s oceans through sensor networks such as the ARGO float array10 and the Australian Integrated Marine Observing System (IMOS). Here we describe the global reef fish dataset collected by the Reef Life Survey program, which can be used to assess large-scale spatial patterns in diversity and community structure, and as a baseline for comparison with future surveys, to address long-standing ecological questions or conservation goals. These data have already been used to describe global patterns in reef fish functional diversity11 and have provided the most comprehensive empirical assessment of key features for successful marine protected area (MPA) design and management12. The dataset described here includes all survey sites analysed for the latter study, with the exception of data collected using the same methodology from 107 sites that were provided to us for analysis but belong to other organisations or are otherwise confidential. Some transects surveyed at different depths at the same site, but on different days, have also been excluded from this dataset, which only includes surveys from the latest date (at the time of writing) at any given site. - , - Refereed - , - 14.2 - , - 14.4 - , - Hard coral cover and composition - , - Fish abundance and distribution - , - Macroalgal canopy cover - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/448", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/448", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/448", "url": "https:\/\/hdl.handle.net\/11329\/448" }, "author": [ { "@type": "Person", "name": "Edgar, Graham J." }, { "@type": "Person", "name": "Stuart-Smith, Rick D." } ], "keywords": [ "Coral reefs", "Biodiversity", "Community ecology", "Macroecology", "Conservation", "Species abundance", "Survey methods", "Invertebrates", "Parameter Discipline::Biological oceanography::Zooplankton", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Rock and sediment biota", "Instrument Type Vocabulary::observers", "Instrument Type Vocabulary::manual biota samplers", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/930", "name": "Determination of ultra-low oxygen concentrations in oxygen minimum zones by the STOX sensor.", "description": " - The methods used until now have not been able to reliably resolve O2 concentrations in oceanic oxygen minimum zones below 1\u20132 \u00b5mol L\u22121. We present a new amperometric sensor for the determination of ultra\u2010low O2 concentrations under in situ conditions. The electrochemical STOX O2 sensor contains a primary sensing cathode and a secondary cathode that, when polarized, prevents entry of O2 into the sensor. This arrangement enables frequent in situ zero calibration and confers the sensor with a detection limit of 1\u201010 nmol L\u22121 O2, even during application on a Conductivity\u2010Temperature\u2010Depth (CTD) profiler at great water depths. The sensor was used during the Galathea 3 Expedition to demonstrate that the core of the oxygen minimum zone (OMZ) off Peru contained < 2 nM O2. Application in a reactor on board demonstrated that changes in O2 concentrations in OMZ water containing < 200 nmol L\u22121 O2 could be monitored over periods of hours to days. The linear decrease in O2 concentration in the reactor indicated very low (< 20 nmol L\u22121) half saturation constants for the O2 respiring microbial community. - , - Refereed - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/930", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/930", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/930", "url": "https:\/\/hdl.handle.net\/11329\/930" }, "author": [ { "@type": "Person", "name": "Revsbech, Niels Peter" }, { "@type": "Person", "name": "Larsen, Lars Hauer" }, { "@type": "Person", "name": "Gundersen, Jens" }, { "@type": "Person", "name": "Dalsgaard, Tage" }, { "@type": "Person", "name": "Ulloa, Osvaldo" }, { "@type": "Person", "name": "Thamdrup, Bo" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1778", "name": "Research Processes and Indigenous Communities in Western Alaska: Workshop Report.", "description": " - In August of 2016, Kawerak Incorporated and Sandhill.Culture.Craft partnered to hold a workshop in Nome, Alaska. The workshop was part of a larger project for this partnership which is looking at research processes and their relationships with Alaska indigenous communities. This project, an anthropology of northern research, treats this research itself as an object of study. The workshop brought together key indigenous voices from western and northern Alaska who have been highly involved in research. The goal of the workshop was to create a dialogue on the nature, concerns, and possible futures related to the relationships between research processes and indigenous communities. In turn, the workshop would (and did) provide valuable grounding to help guide future project activities, especially as they pertain to indigenous perspectives. - , - National Science Foundation (NSF) Award 1624041 - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1778", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1778", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1778", "url": "https:\/\/hdl.handle.net\/11329\/1778" }, "author": [ { "@type": "Person", "name": "Raymond-Yakoubian, Brenden" }, { "@type": "Person", "name": "Raymond-Yakoubian, Julie" } ], "contributor": [ { "@type": "Organization", "name": "Sandhill.Culture Craft and Kawerak, Inc., Social Sciences Program" } ], "keywords": [ "Inuit", "Indigenous communites", "Traditional knowledge", "Research", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/572", "name": "Test and Evaluation Report for WaterLog\u00ae H-3612 Radar Sensor in CO-OPS Air Gap Applications.", "description": " - In 2005, the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) completed the development, testing, and transition to operations of an air gap-bridge clearance measurement system for use in the CO-OPS Physical Oceanographic Real-Time System (PORTS\u00ae). The purpose of this measurement system is to provide real-time observations of the vertical distance from a bridge\u2019s lowest steel to the mean water level surface below, commonly referred to as air gap. The observation provides vessel pilots with decision support information that can decrease the likelihood of vessel overhead allisions with bridges. This development and test effort was motivated and supported by several PORTS\u00ae customers who were concerned with growing bridge allision risks resulting from significant increase in vessel size and vessel traffic across several U.S. ports and harbors. Developed and transitioned to operations in 2005 by CO-OPS Ocean System Test and Evaluation Program (OSTEP), the air gap system employs a microwave band radar range sensor to measure the distance from a point on a bridge to the water surface below. The radar sensor selected for that system is a Miros model SM-094. Initial development efforts and several related reports and presentations clearly conveyed that microwave radar technology is the best choice for the PORTS\u00ae air gap measurement applications. OSTEP has continued test and development efforts with radar range sensors for other CO-OPS applications, partly because of the success of the PORTS\u00ae air gap system. From 2008-2011, OSTEP expended significant effort to test and evaluate four different brands of radar range sensors to assess their suitability for use as primary water level sensors throughout the CO-OPS National Water Level Observation Network (NWLON). Three years of additional field and lab testing has resulted in a significant increase in CO-OPS\u2019 knowledge of microwave radar sensor technology, both through analysis of test data and hands-on field experience with sensors. Additional information about other available commercial-off-the-shelf sensor brands and models was also obtained through the effort. This wealth of knowledge gained through additional radar sensor testing for NWLON applications has been leveraged to support a number of improvements to existing operational air gap measurement systems. Recent improvements include enhanced laboratory test procedures and analysis tools, Sutron Xpert data collection platform software upgrades, and new mounting hardware designs. Most recently, the OSTEP team has identified the Design Analysis WaterLog\u00ae H-3612 microwave radar as a potential alternative PORTS\u00ae air gap sensor, based on test results for NWLON applications. This sensor, already used in some CO-OPS water level applications, offers many advantages over CO-OPS\u2019 current operational sensor, the Miros SM-094. Motivated by the potential to improve existing PORTS\u00ae air gap systems, OSTEP conducted a series of laboratory and field tests on the WaterLog\u00ae H-3612 designed to assess the suitability for use in PORTS\u00ae air gap applications. All laboratory tests conducted indicate that the WaterLog\u00ae H-3612 meets CO-OPS operational standards. Field testing included the installation of a test WaterLog\u00ae sensor alongside an operational Miros SM-094 sensor at the PORTS\u00ae station on the Reedy Point, DE Bridge for eight months. WaterLog\u00ae and Miros sensors showed good agreement during the field test for air gap data collected and transmitted every 6 minutes. The monthly root mean squared deviation was less than 4 cm, and the monthly mean differences were all less than 6.2 cm; both values are well below the real-time air gap measurement accuracy requirement of \u00b115 cm, which CO-OPS established with prospective users during initial air gap system development efforts [1]. Based on laboratory and field test results included in this report, OSTEP has recommended use of the WaterLog\u00ae H-3612 radar sensor at CO-OPS operational air gap stations where the sensor\u2019s maximum 70-m range is not expected to be exceeded. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/572", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/572", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/572", "url": "https:\/\/hdl.handle.net\/11329\/572" }, "author": [ { "@type": "Person", "name": "Heitsenrether, R." }, { "@type": "Person", "name": "Hensley, W." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water level markers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2347", "name": "Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics.", "description": " - The ubiquitous pollution of the environment with microplastics, a diverse suite of contaminants, is of growing concern for science and currently receives considerable public, political, and academic attention. The potential impact of microplastics in the environment has prompted a great deal of research in recent years. Many diverse methods have been developed to answer different questions about microplastic pollution, from sources, transport, and fate in the environment, and about effects on humans and wildlife. These methods are often insufficiently described, making studies neither comparable nor reproducible. The proliferation of new microplastic investigations and cross-study syntheses to answer larger scale questions are hampered. This diverse group of 23 researchers think these issues can begin to be overcome through the adoption of a set of reporting guidelines. This collaboration was created using an open science framework that we detail for future use. Here, we suggest harmonized reporting guidelines for microplastic studies in environmental and laboratory settings through all steps of a typical study, including best practices for reporting materials, quality assurance\/quality control, data, field sampling, sample preparation, microplastic identification, microplastic categorization, microplastic quantification, and considerations for toxicology studies. We developed three easy to use documents, a detailed document, a checklist, and a mind map, that can be used to reference the reporting guidelines quickly. We intend that these reporting guidelines support the annotation, dissemination, interpretation, reviewing, and synthesis of microplastic research. Through open access licensing (CC BY 4.0), these documents aim to increase the validity, reproducibility, and comparability of studies in this field for the benefit of the global community. - , - Refereed - , - 14.a - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2347", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2347", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2347", "url": "https:\/\/hdl.handle.net\/11329\/2347" }, "author": [ { "@type": "Person", "name": "Cowger, Win" }, { "@type": "Person", "name": "Booth, Andy M." }, { "@type": "Person", "name": "Hamilton, Bonnie M." }, { "@type": "Person", "name": "Thaysen, Clara" }, { "@type": "Person", "name": "Primpke, Sebastian" }, { "@type": "Person", "name": "Munno, Keenan" }, { "@type": "Person", "name": "Lusher, Amy L." }, { "@type": "Person", "name": "Dehaut, Alexandre" }, { "@type": "Person", "name": "Vaz, Vitor P." }, { "@type": "Person", "name": "Liboiron, Max" }, { "@type": "Person", "name": "Devriese, Lisa I." }, { "@type": "Person", "name": "Hermabessiere, Ludovic" }, { "@type": "Person", "name": "Rochman, Chelsea" }, { "@type": "Person", "name": "Athey, Samantha N." }, { "@type": "Person", "name": "Lynch, Jennifer M." }, { "@type": "Person", "name": "De Frond, Hannah" }, { "@type": "Person", "name": "Gray, Andrew" }, { "@type": "Person", "name": "Jones, Oliver A.H." }, { "@type": "Person", "name": "Brander, Susanne" }, { "@type": "Person", "name": "Steele, Clare" }, { "@type": "Person", "name": "Moore, Shelly" }, { "@type": "Person", "name": "Sanchez, Alterra" }, { "@type": "Person", "name": "Nel, Holly" } ], "keywords": [ "Microplastics", "Reporting guidelines", "Anthropogenic contamination", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/782", "name": "Verification Statement for the YSI 6-series sonde with model 6560 Salinity Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the YSI 6600 sonde equipped with the model 6560 salinity sensor evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical coastal ocean, sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the YSI 6600 exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 - 32oC (R2 >0.9999, SE = 0.0026 and slope = 0.991). The mean of the absolute difference between instrument measured salinity and reference sample salinity across all laboratory treatments was -0.1678\u00b10.1364 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were -0.2732 \u00b10.2392 mS\/cm and -0.0737 \u00b10.0184 oC, respectively. Across all five field deployments, the range of ambient salinity was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. Measurement accuracy of the YSI sonde varied across sites and appeared to be affected by both the initial calibration of the sonde as well as the extent of biofouling. For FL, AK, and HI test sites the instrument performance was fairly consistent throughout the deployment period, but a positive offset of between 0.5 -3 psu was observed. At the GA test site the initial accuracy was much better, with an average offset of 0.0084 over the first 10 days, followed by a rapid deterioration as biofouling became extensive. Results for the MI riverine test site were highly accurate and consistent with an average offset to reference samples of -0.0146 psu over the entire deployment. In all field tests, offsets in salinity were directly related to measured conductivity values and temperature measurements remained consistent throughout the deployment with offsets ranging between -0.09 to 0.001 oC. When all field test sites were analyzed compositely for the first 14days of deployment, the instrument response was highly linear (slope = 1.047 and R2 = 0.996) with a standard error of 0.086 psu for the regression. Performance checks prior to deployment and again at the end of the deployment after instruments were thoroughly cleaned of fouling indicated no drift in instrument performance at GA, MI, and HI tests sites. An increased offset was noted in the post-test at AK; however, the time series data did not suggest that accuracy significantly changed over time. For the lab test, one hundred percent of the data was recovered from the instrument and no outlier values were observed. For all five field tests, 100 percent of the data was recovered from each test instrument from the deployment; however, a malfunction in salinity calculations occurred during the posttank test at Florida. A check on the instruments time clocks at the end of the deployment period revealed time differences ranging from 39 seconds slow to 18 seconds fast based against initial settings. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - [UMCES]CBL 09-035 - , - Refereed - , - Current - , - Sub surface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/782", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/782", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/782", "url": "https:\/\/hdl.handle.net\/11329\/782" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2179", "name": "A Marine Biodiversity Observation Network for Genetic Monitoring of Hard-Bottom Communities (ARMS-MBON).", "description": " - Marine hard-bottom communities are undergoing severe change under the influence of multiple drivers, notably climate change, extraction of natural resources, pollution and eutrophication, habitat degradation, and invasive species. Monitoring marine biodiversity in such habitats is, however, challenging as it typically involves expensive, non-standardized, and often destructive sampling methods that limit its scalability. Differences in monitoring approaches furthermore hinders inter-comparison among monitoring programs. Here, we announce a Marine Biodiversity Observation Network (MBON) consisting of Autonomous Reef Monitoring Structures (ARMS) with the aim to assess the status and changes in benthic fauna with genomic-based methods, notably DNA metabarcoding, in combination with image-based identifications. This article presents the results of a 30-month pilot phase in which we established an operational and geographically expansive ARMS-MBON. The network currently consists of 20 observatories distributed across European coastal waters and the polar regions, in which 134 ARMS have been deployed to date. Sampling takes place annually, either as short-term deployments during the summer or as long-term deployments starting in spring. The pilot phase was used to establish a common set of standards for field sampling, genetic analysis, data management, and legal compliance, which are presented here. We also tested the potential of ARMS for combining genetic and image-based identification methods in comparative studies of benthic diversity, as well as for detecting non-indigenous species. Results show that ARMS are suitable for monitoring hard-bottom environments as they provide genetic data that can be continuously enriched, re-analyzed, and integrated with conventional data to document benthic community composition and detect non-indigenous species. Finally, we provide guidelines to expand the network and present a sustainability plan as part of the European Marine Biological Resource Centre (www.embrc.eu). - , - Refereed - , - 14.2 - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2179", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2179", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2179", "url": "https:\/\/hdl.handle.net\/11329\/2179" }, "author": [ { "@type": "Person", "name": "Obst, Matthias" }, { "@type": "Person", "name": "Exter, Katrina" }, { "@type": "Person", "name": "Allcock, A. Louise" }, { "@type": "Person", "name": "Arvanitidis, Christos" }, { "@type": "Person", "name": "Axberg, Alizz" }, { "@type": "Person", "name": "Bustamante, Maria" }, { "@type": "Person", "name": "Cancio, Ibon" }, { "@type": "Person", "name": "Carreira-Flores, Diego" }, { "@type": "Person", "name": "Chatzinikolaou, Eva" }, { "@type": "Person", "name": "Chatzigeorgiou, Giorgos" }, { "@type": "Person", "name": "Chrismas, Nathan" }, { "@type": "Person", "name": "Clark, Melody S." }, { "@type": "Person", "name": "Comtet, Thierry" }, { "@type": "Person", "name": "Dailianis, Thanos" }, { "@type": "Person", "name": "Davies, Neil" }, { "@type": "Person", "name": "Deneudt, Klaas" }, { "@type": "Person", "name": "de Cerio, Oihane Diaz" }, { "@type": "Person", "name": "Fortic, Ana" }, { "@type": "Person", "name": "Gerovasileiou, Vasilis" }, { "@type": "Person", "name": "Hablutzel, Pascal" }, { "@type": "Person", "name": "Keklikoglou, Kleoniki" }, { "@type": "Person", "name": "Kotoulas, Georgios" }, { "@type": "Person", "name": "Lasota, Rafal" }, { "@type": "Person", "name": "Leite, Barbara R." }, { "@type": "Person", "name": "Loisel, Stephane" }, { "@type": "Person", "name": "Leveque, Laurent" }, { "@type": "Person", "name": "Levy, Liraz" }, { "@type": "Person", "name": "Malachowicz, Magdalena" }, { "@type": "Person", "name": "Mavria, Borut" }, { "@type": "Person", "name": "Meyer, Christopher" }, { "@type": "Person", "name": "Mortelmans, Jonas" }, { "@type": "Person", "name": "Norkko, Joanna" }, { "@type": "Person", "name": "Pade, Nicolas" }, { "@type": "Person", "name": "Power, Anne Marie" }, { "@type": "Person", "name": "Ramsak, Andreja" }, { "@type": "Person", "name": "Reiss, Henning" }, { "@type": "Person", "name": "Solbakken, Jostein" }, { "@type": "Person", "name": "Stoehr, Peter A." }, { "@type": "Person", "name": "Sundberg, Per" }, { "@type": "Person", "name": "Thyrring, Jacob" }, { "@type": "Person", "name": "Troncoso, Jesus S." }, { "@type": "Person", "name": "Viard, Frederique" }, { "@type": "Person", "name": "Wenne, Roman" }, { "@type": "Person", "name": "Yperifanou, Eleni Loanna" }, { "@type": "Person", "name": "Zbawicka, Malgorzata" }, { "@type": "Person", "name": "Pavloudi, Christina" } ], "keywords": [ "Benthic invertebrates", "Marine Strategy Framework Directive", "MBON", "ARMS", "Marine biodiversity assessment", "Biota composition", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2550", "name": "ISO 17208-2:2019. Underwater acoustics \u2014 Quantities and procedures for description and measurement of underwater sound from ships. Part 2: Determination of source levels from deep water measurements. Edition 1.", "description": " - This document specifies methods for calculating an equivalent monopole source level by converting radiated noise level values obtained in deep water according to ISO 17208-1. Procedures are also given for direct calculation from measurements made in deep water with specific hydrophone geometry. The source level calculated by the procedure in this document is that of an equivalent monopole source at a specified nominal source depth, and for broadside aspect only. The nominal source depth is intended to be reported with the equivalent monopole broadside source level value. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2550", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2550", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2550", "url": "https:\/\/hdl.handle.net\/11329\/2550" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Radiated noise measurement", "Monopole source level", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/83", "name": "Guide to Meteorological Instruments and Methods of Observation, 2008 edition updated in 2010.[SUPERSEDED]", "description": " - meteorological observations and measurements; guides - , - The present, seventh, edition is a fully revised version which includes additional topics and chapters reflecting recent technological developments. Its purpose, as with the previous editions, is to give comprehensive and up-to-date guidance on the most effective practices for carrying out meteorological observations and measurements. This edition was prepared through the collaborative efforts of 42 experts from 17 countries and was adopted by the fourteenth session of CIMO (Geneva, December 2006). The Guide describes most instruments, systems and techniques in regular use, from the simplest to the most complex and sophisticated, but does not attempt to deal with methods and instruments used only for research or experimentally. Furthermore the Guide is not intended to be a detailed instruction manual for use by observers and technicians, but rather, it is intended to provide the basis for the preparation of manuals by National Meteorological and Hydrological Services (NMHSs) or other interested users operating observing systems, to meet their specific needs. However, no attempt is made to specify the fully detailed design of instruments, since to do so might hinder their further development. It was instead considered preferable to restrict standardization to the essential requirements and to confine recommendations to those features which are generally most common to various configurations of a given instrument or measurement system. Although the Guide is written primarily for NMHSs, many other organizations and research and educational institutions taking meteorological observations have found it useful, so their requirements have been kept in mind in the preparation of the Guide. Additionally, many instrument manufacturers have recognized the usefulness of the Guide in the development and production of instruments and systems especially suited to Members\u2019 needs. Because of the considerable demand for this publication, a decision was taken to make it available on the WMO website to all interested users. - , - http:\/\/www.wmo.int\/pages\/prog\/www\/IMOP\/publications\/CIMO-Guide\/CIMO%20Guide%207th%20Edition,%202008\/CIMO_Guide-7th_Edition-2008.pdf - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/83", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/83", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/83", "url": "https:\/\/hdl.handle.net\/11329\/83" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "CIMO instrument method observation best practice" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/704", "name": "Trace metals in sea water: Sampling and storage methods.", "description": " - Sampling procedures for dissolved trace metals in sea water have progressed to the extent that it is now possible to describe reliable methods for the collection, preservation, and storage of seawater samples. A review of the sampling methods being used for trace metals in sea water has recently been produced (Berman and Yeats, 1985). The accumulated experience of a number of workers in the field as well as the results from several intercalibration exercises run by ICES, IOC, and others have been used to determine the best sampling procedures. For many metals a single procedure is adequate, however, for some others separate procedures must be used. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/704", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/704", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/704", "url": "https:\/\/hdl.handle.net\/11329\/704" }, "author": [ { "@type": "Person", "name": "Yeats, P. A." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1350", "name": "Next-Generation Optical Sensing Technologies for Exploring Ocean Worlds\u2014NASA FluidCam, MiDAR, and NeMO-Net.", "description": " - We highlight three emerging NASA optical technologies that enhance our ability to remotely sense, analyze, and explore ocean worlds\u2013FluidCam and fluid lensing, MiDAR, and NeMO-Net. Fluid lensing is the first remote sensing technology capable of imaging through ocean waves without distortions in 3D at sub-cm resolutions. Fluid lensing and the purpose-built FluidCam CubeSat instruments have been used to provide refraction-corrected 3D multispectral imagery of shallow marine systems from unmanned aerial vehicles (UAVs). Results from repeat 2013 and 2016 airborne fluid lensing campaigns over coral reefs in American Samoa present a promising new tool for monitoring fine-scale ecological dynamics in shallow aquatic systems tens of square kilometers in area. MiDAR is a recently-patented active multispectral remote sensing and optical communications instrument which evolved from FluidCam. MiDAR is being tested on UAVs and autonomous underwater vehicles (AUVs) to remotely sense living and non-living structures in light-limited and analog planetary science environments. MiDAR illuminates targets with high-intensity narrowband structured optical radiation to measure an object\u2019s spectral reflectance while simultaneously transmitting data. MiDAR is capable of remotely sensing reflectance at fine spatial and temporal scales, with a signal-to-noise ratio 10-103 times higher than passive airborne and spaceborne remote sensing systems, enabling high-framerate multispectral sensing across the ultraviolet, visible, and near-infrared spectrum. Preliminary results from a 2018 mission to Guam show encouraging applications of MiDAR to imaging coral from airborne and underwater platforms whilst transmitting data across the air-water interface. Finally, we share NeMO-Net, the Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment. NeMO-Net is a machine learning technology under development that exploits high-resolution data from FluidCam and MiDAR for augmentation of low-resolution airborne and satellite remote sensing. NeMO-Net is intended to harmonize the growing diversity of 2D and 3D remote sensing with in situ data into a single open-source platformfor assessing shallowmarine ecosystems globally using active learning for citizen-science based training. Preliminary results from four-class coral classification have an accuracy of 94.4%. Together, these maturing technologies present promising scalable, practical, and cost-efficient innovations that address current observational and technological challenges in optical sensing of marine systems. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1350", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1350", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1350", "url": "https:\/\/hdl.handle.net\/11329\/1350" }, "author": [ { "@type": "Person", "name": "Chirayath, Ved" }, { "@type": "Person", "name": "Li, Alan" } ], "keywords": [ "Remote sensing", "Coral reefs", "UAVs", "Fluid lensing", "MiDAR", "Machine learning", "NeMO-Net", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/895", "name": "An assessment of the use of ocean gliders to undertake acoustic measurements of zooplankton: the distribution and density of Antarctic krill (Euphausia superba) in the Weddell Sea.", "description": " - A calibrated 120 kHz single\u2010beam echo\u2010sounder was integrated into an ocean glider and deployed in the Weddell Sea, Southern Ocean. The glider was deployed for two short periods in January 2012, in separate survey boxes on the continental shelf to the east of the Antarctic Peninsula, to assess the distribution of Antarctic krill (Euphausia superba). During the glider missions, a research vessel undertook acoustic transects using a calibrated, hull\u2010mounted, multi\u2010frequency echo\u2010sounder. Net hauls were taken to validate acoustic targets and parameterize acoustic models. Krill targets were identified using a thresholded schools analysis technique (SHAPES), and acoustic data were converted to krill density using the stochastic distorted\u2010wave Born approximation (SDWBA) target strength model. A sensitivity analysis of glider pitch and roll indicated that, if not taken into account, glider orientation can impact density estimates by up to 8\u2010fold. Glider\u2010based, echo\u2010sounder\u2014derived krill density profiles for the two survey boxes showed features coherent with ship\u2010borne measurements, with peak densities in both boxes around a depth of 60 m. Monte Carlo simulation of glider subsampling of ship\u2010borne data showed no significant difference from observed profiles. Simulated glider dives required at least an order of magnitude more time than the ship to similarly estimate the abundance of krill within the sample regions. These analyses highlight the need for suitable sampling strategies for glider\u2010based observations and are our first steps toward using autonomous underwater vehicles for ecosystem assessment and long\u2010term monitoring. With appropriate survey design, gliders can be used for estimating krill distribution and abundance. - , - Refereed - , - Zooplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/895", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/895", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/895", "url": "https:\/\/hdl.handle.net\/11329\/895" }, "author": [ { "@type": "Person", "name": "Guihen, Damien" }, { "@type": "Person", "name": "Fielding, Sophie" }, { "@type": "Person", "name": "Murphy, Eugene J." }, { "@type": "Person", "name": "Heywood, Karen J." }, { "@type": "Person", "name": "Griffiths, Gwyn" } ], "keywords": [ "Echosounder", "Ocean glider", "Parameter Discipline::Biological oceanography::Other biological measurements", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/596", "name": "Sensor Specifications and Measurement Algorithms.", "description": " - Environmental Measurement Systems. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/596", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/596", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/596", "url": "https:\/\/hdl.handle.net\/11329\/596" }, "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Water level", "Sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1924", "name": "About Best Practices and the IOC Ocean Best Practices System (OBPS). [Presentation at EATiP\/OBPS Best Practices in Aquaculture Workshop, 05 April 2022 (Online)].", "description": " - The IOC Ocean Best Practices System (OBPS) was introduced in this presentation. The OBPS definition for \u201cBest Practice\u201d was introduced (see Pearlman et al. 2019) and the general challenges that come with creation and dissemination of practices different types best practices media (documents, videos, other material) was discussed. The operational components of OBPS and their activities were presented, in particular the OBPS repository server and the search interface (search.oceanbestpractices.org). Examples for search of combinations of \u201cAquaculture\u201d, \u201cMariculture\u201d, \u201cStandards\u201d were discussed. Comments were provided in the ZOOM chat. The idea behind \u201cconvergence\u201d of practices into Best Practices, and the idea behind \u201cendorsement\u201d of practices to highlight importance for certain groups and organizations was presented. The OBPS UN Decade programme (\u201cOceanPractices\u201d) was briefly introduced. - , - Published - , - Current - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1924", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1924", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1924", "url": "https:\/\/hdl.handle.net\/11329\/1924" }, "author": [ { "@type": "Person", "name": "Karstensen, Johannes" } ], "contributor": [ { "@type": "Organization", "name": "Ocean Best Practices System" } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1109", "name": "OpenGIS\u00ae City Geography Markup Language (CityGML) Encoding Standard. Version 1.0.0.", "description": " - CityGML is an open data model and XML-based format for the storage and exchange of virtual 3D city models. It is an application schema for the Geography Markup Language version 3.1.1 (GML3), the extendible international standard for spatial data exchange issued by the Open Geospatial Consortium (OGC) and the ISO TC211. The aim of the development of CityGML is to reach a common definition of the basic entities, attributes, and relations of a 3D city model. This is especially important with respect to the cost-effective sustainable maintenance of 3D city models, allowing the reuse of the same data in different application fields. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1109", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1109", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1109", "url": "https:\/\/hdl.handle.net\/11329\/1109" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Encoding standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2195", "name": "Traditional Ecological Knowledge of Polar Bears in the Northern Eeyou Marine Region, Quebec, Canada.", "description": " - Polar bears are important socio-cultural symbols in the communities of the Eeyou Marine Region (EMR) in northwestern Quebec, Canada. Members of the Cree communities in this region are generally not active polar bear hunters, but they encounter polar bears when fishing, trapping, or hunting during the ice-free season. A growing body of scientific evidence suggests that reduced annual sea ice cover in Hudson Bay has led to declines in body condition of polar bears in the local Southern Hudson Bay subpopulation and to a population decline in the neighboring Western Hudson Bay subpopulation. In June 2012, we conducted 15 semi-directed interviews on the subject of polar bear biology and climate change with local elders and hunters in three communities in the northern EMR: Wemindji, Chisasibi, and Whapmagoostui. The interviews held in Whapmagoostui included informants from Kuujjuarapik, the adjacent Inuit community. The interviews addressed knowledge gaps in the Recovery Strategy for Polar Bear in Ontario. Transcripts of the interviews were coded thematically and analyzed using both qualitative and quantitative methods. The interviews revealed important insights into polar bear distribution, terrestrial habitat use, denning, and foraging patterns. Participants were unanimous in their recognition of a warming climate and prolonged ice-free season in the area in recent years. However, communities differed in their observations on other issues, with latitudinal trends evident in observations of polar bear distribution, denning activity, and foraging habits. Communities also differed in their perception of the prevalence of problem polar bears and the conservation status of the species, with one-third of participants reporting that polar bears will be unaffected by, or even benefit from, longer ice-free periods. A majority of participants indicated that the local polar bear population was stable or increasing. Interviewees also identified future research priorities pertinent to the communities, and provided comments on the methods employed by polar bear biologists. Our results demonstrate that communities in the EMR have important knowledge about polar bear ecology and illustrate the unique opportunities and challenges of combining traditional ecological knowledge with wildlife science in the context of a rapidly changing subarctic environment. - , - Refereed - , - 14.2 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2195", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2195", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2195", "url": "https:\/\/hdl.handle.net\/11329\/2195" }, "author": [ { "@type": "Person", "name": "Laforest, Brandon J." }, { "@type": "Person", "name": "Hebert, Julie S." }, { "@type": "Person", "name": "Obbard, Martyn E." }, { "@type": "Person", "name": "Thiemann, Gregory W." } ], "keywords": [ "Polar bear", "Traditional ecological knowledge", "Cree knowledge", "Sea ice", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1061", "name": "TimeseriesML 1.0 \u2013 XML Encoding of the Timeseries Profile of Observations and Measurements, Version 1.0.", "description": " - TimeseriesML 1.0 defines an XML encoding that implements the OGC Timeseries Profile of Observations and Measurements [OGC 15-043r3], with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of data exchange requirements. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1061", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1061", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1061", "url": "https:\/\/hdl.handle.net\/11329\/1061" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1321", "name": "Dynamic Reusable Workflows for Ocean Science.", "description": " - Digital catalogs of ocean data have been available for decades, but advances in standardized services and software for catalog searches and data access now make it possible to create catalog-driven workflows that automate\u2014end-to-end\u2014data search, analysis, and visualization of data from multiple distributed sources. Further, these workflows may be shared, reused, and adapted with ease. Here we describe a workflow developed within the US Integrated Ocean Observing System (IOOS) which automates the skill assessment of water temperature forecasts from multiple ocean forecast models, allowing improved forecast products to be delivered for an open water swim event. A series of Jupyter Notebooks are used to capture and document the end-to-end workflow using a collection of Python tools that facilitate working with standardized catalog and data services. The workflow first searches a catalog of metadata using the Open Geospatial Consortium (OGC) Catalog Service for the Web (CSW), then accesses data service endpoints found in the metadata records using the OGC Sensor Observation Service (SOS) for in situ sensor data and OPeNDAP services for remotely-sensed and model data. Skill metrics are computed and time series comparisons of forecast model and observed data are displayed interactively, leveraging the capabilities of modern web browsers. The resulting workflow not only solves a challenging specific problem, but highlights the benefits of dynamic, reusable workflows in general. These workflows adapt as new data enter the data system, facilitate reproducible science, provide templates from which new scientific workflows can be developed, and encourage data providers to use standardized services. As applied to the ocean swim event, the workflow exposed problems with two of the ocean forecast products which led to improved regional forecasts once errors were corrected. While the example is specific, the approach is general, and we hope to see increased use of dynamic notebooks across geoscience domains. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1321", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1321", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1321", "url": "https:\/\/hdl.handle.net\/11329\/1321" }, "author": [ { "@type": "Person", "name": "Signell, Richard P." }, { "@type": "Person", "name": "Fernandes, Filipe" }, { "@type": "Person", "name": "Wilcox, Kyle" } ], "keywords": [ "Numerical modeling", "Reproducibility", "Catalog services", "Data services", "Web services", "Metadata", "Ocean forecasting", "Ocean modelling", "Data management", "Data system", "Interoperability", "OPeNDAP", "THREDDS", "CSW", "Jupyter Notebooks", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1451", "name": "Guidelines on how to sync your High Frequency (HF) radar data with the European HF Radar node (Version1.2).", "description": " - This document is a step-by-step guide to start transferring HF radar (HFR) data from your network to the EU HFR node . The EU HFR node acts as the focal point for the European HFR data providers, implementing the HF radar data flow from the data providers to the distribution platforms ( Copernicus Marine Service , EMODnet-Phys and SeaDataNet ). - , - Published - , - Refereed - , - Current - , - 14.A - , - Surface currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1451", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1451", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1451", "url": "https:\/\/hdl.handle.net\/11329\/1451" }, "author": [ { "@type": "Person", "name": "Reyes, E." }, { "@type": "Person", "name": "Rotll\u00e1n-Garc\u00eda, P." }, { "@type": "Person", "name": "Rubio, A." }, { "@type": "Person", "name": "Corgnati, L." }, { "@type": "Person", "name": "Mader, J." }, { "@type": "Person", "name": "Mantovani, C." } ], "contributor": [ { "@type": "Organization", "name": "Balearic Islands Coastal Observing and Forecasting System, SOCIB" } ], "keywords": [ "NetCDF", "HF Radar", "Parameter Discipline::Physical oceanography::Currents", "Data Management Practices::Data exchange", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2501", "name": "Recommended practices for Acoustic Doppler Current Profiler (ADCP) deployment.", "description": " - This Recommended Practice Guide for Acoustic Doppler Current Profiler (ADCP) deployments is designed to provide sufficient information to identify the most appropriate deployment method, instrument selection, and setup for a range of applications that utilize stationary deployments. An ADCP is a commonly used instrument in the offshore oil and gas industry to measure and monitor the current profiles, i.e., how fast water is moving across an entire water column, an important environmental parameter affecting offshore structure design and operations. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2501", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2501", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2501", "url": "https:\/\/hdl.handle.net\/11329\/2501" }, "contributor": [ { "@type": "Organization", "name": "International Association of Oil & Gas Producers (IOGP)" } ], "keywords": [ "Acoustic doppler current profiler (ADCP)", "Deployment method", "Instrument setup", "ADCP manufacturers", "Currents", "acoustic velocity systems", "flow meters", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1082", "name": "Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups.", "description": " - Over the past decade, techniques have been presented to derive the community structure of phytoplankton at synoptic scales using satellite ocean-color data. There is a growing demand from the ecosystem modeling community to use these products for model evaluation and data assimilation. Yet, from the perspective of an ecosystem modeler these products are of limited use unless: (i) the phytoplankton products provided by the remote-sensing community match those required by the ecosystem modelers; and (ii) information on per-pixel uncertainty is provided to evaluate data quality. Using a large dataset collected in the North Atlantic, we re-tune a method to estimate the chlorophyll concentration of three phytoplankton groups, partitioned according to size [pico- (<2 \u03bcm), nano- (2\u201320 \u03bcm) and micro-phytoplankton (>20 \u03bcm)]. The method is modified to account for the influence of sea surface temperature, also available from satellite data, on model parameters and on the partitioning of microphytoplankton into diatoms and dinoflagellates, such that the phytoplankton groups provided match those simulated in a state of the art marine ecosystem model (the European Regional Seas Ecosystem Model, ERSEM). The method is validated using another dataset, independent of the data used to parameterize the method, of more than 800 satellite and in situ match-ups. Using fuzzy-logic techniques for deriving per-pixel uncertainty, developed within the ESA Ocean Colour Climate Change Initiative (OC-CCI), the match-up dataset is used to derive the root mean square error and the bias between in situ and satellite estimates of the chlorophyll for each phytoplankton group, for 14 different optical water types (OWT). These values are then used with satellite estimates of OWTs to map uncertainty in chlorophyll on a per pixel basis for each phytoplankton group. It is envisaged these satellite products will be useful for those working on the validation of, and assimilation of data into, marine ecosystem models that simulate different phytoplankton groups. - , - Refereed - , - 14 - , - Phytoplankton biomass and diversity - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - , - 2017-01-13 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1082", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1082", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1082", "url": "https:\/\/hdl.handle.net\/11329\/1082" }, "author": [ { "@type": "Person", "name": "Brewin, Robert J. W." }, { "@type": "Person", "name": "Ciavatta, Stefano" }, { "@type": "Person", "name": "Sathyendranath, Shubha" }, { "@type": "Person", "name": "Jackson, Thomas" }, { "@type": "Person", "name": "Tilstone, Gavin" }, { "@type": "Person", "name": "Curran, Kieran" }, { "@type": "Person", "name": "Airs, Ruth L." }, { "@type": "Person", "name": "Cummings, Denise" }, { "@type": "Person", "name": "Brotas, Vanda" }, { "@type": "Person", "name": "Organelli, Emanuele" }, { "@type": "Person", "name": "Dall'Olmo, Giorgio" }, { "@type": "Person", "name": "Raitsos, Dionysios E." } ], "keywords": [ "Chlorophyll", "Uncertainty quantification", "Model uncertainty", "Phytoplankton", "Satellite ocean colour data", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/215", "name": "Steps and tools towards integrated coastal area management : methodological guide, Volume II.", "description": " - It is a necessity, not a truism, to say that coastal areas are the places where demographic, economic and environmental pressures reach their maximum. The space is already subject to conflicts of use between different sectors such as fishing, fish-farming, industry, shipping, and recreation. In addition, all the impacts of global change will converge there: changes in sea level, climatic changes, etc. The sustainable development of these regions depends upon the way in which the use of the coastal areas is approached, not only by coastal communities but also Governments and international organizations. Hence the need to advice the inhabitants and managers of the coastal milieu, whoever they may be. This was the concern uppermost in our minds when we at the French National Committee for the Intergovernmental Oceanographic Commission (IOC) decided to support the publication of Integrated Coastal Area Management (ICAM). The first volume published by the IOC described the general outline of ICAM. The second volume describes the ICAM process in greater detail, citing examples of the process in action from the experience of the contributors to the guide. - , - Supported by IOC for UNESCO. - , - Published - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/215", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/215", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/215", "url": "https:\/\/hdl.handle.net\/11329\/215" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Coastal zone management", "Coastal area", "Integrated management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1093", "name": "OGC Best Practice for Sensor Web Enablement Lightweight SOS Profile for Stationary In-Situ Sensors. Version 1.0.", "description": " - The OGC Sensor Web Enablement architecture (SWE) addresses the integration of sensors and sensor data into Spatial Data Infrastructures (SDI). Within the SWE architecture the Sensor Observation Service (SOS) plays a central role as it defines an interface for accessing sensor data and metadata. This document describes a lightweight profile of the SOS and the data formats used by the SOS: Observations & Measurements (O&M) for encoding measurement data and the Sensor Model Language (SensorML) for encoding metadata. Other SWE standards which provide more specialized functionality are not part of this minimum lightweight SWE profile. This profile has been designed in a way that is on the one hand efficient and easy to implement and on the other hand standard compliant. Especially the following aspects were considered during the creation of the profile: -- Reducing the number of operations: certain operations of the SOS standard were designed for very specific needs; these operations were left out of this profile -- Reducing the complexity of the SOS operations (e.g. less complex filters for requesting sensor data) -- Focus on fixed in-situ sensors as these sensors are the type of sensors that are used in the broad majority of SWE use cases in practice (for widening this focus in future, extensions may be developed) In summary the main objective that guided the development of this profile was to support those use cases which are regularly occurring in practice and to leave out those with very specific requirements that go beyond the broad mass of SWE use cases. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1093", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1093", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1093", "url": "https:\/\/hdl.handle.net\/11329\/1093" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "SOS profile", "Stationary in-situ sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1762", "name": "Air-Sea Gas Fluxes and Remineralization From a Novel Combination of pH and O2 Sensors on a Glider.", "description": " - Accurate, low-power sensors are needed to characterize biogeochemical variability on underwater glider missions. However, the needs for high accuracy and low power consumption can be difficult to achieve together. To overcome this difficulty, we integrated a novel sensor combination into a Seaglider, comprising a spectrophotometric lab-on-a-chip (LoC) pH sensor and a potentiometric pH sensor, in addition to the standard oxygen (O2) optode. The stable, but less frequent (every 10 min) LoC data were used to calibrate the high-resolution (1 s) potentiometric sensor measurements. The glider was deployed for a 10-day pilot mission in August 2019. This represented the first such deployment of either type of pH sensor on a glider. The LoC pH had a mean offset of +0.005\u00b10.008 with respect to pH calculated from total dissolved inorganic carbon content, c(DIC), and total alkalinity, AT, in co-located water samples. The potentiometric sensor required a thermal-lag correction to resolve the pH variations in the steep thermocline between surface and bottom mixed layers, in addition to scale calibration. Using the glider pH data and a regional parameterization of AT as a function of salinity, we derived the dissolved CO2 content and glider c(DIC). Glider surface CO2 and O2 contents were used to derive air-sea fluxes, \u03a6(CO2) and \u03a6(O2). \u03a6(CO2) was mostly directed into the ocean with a median of \u22120.4 mmol m\u20132 d\u20131. In contrast, \u03a6(O2) was always out of the ocean with a median of +40 mmol m\u20132 d\u20131. Bottom water apparent oxygen utilization (AOU) was (35\u00b11) \u03bcmol kg\u20131, whereas apparent carbon production (ACP) was (11\u00b11) \u03bcmol kg\u20131, with mostly insignificant differences along the deployment transect. This deployment shows the potential of using pH sensors on autonomous observing platforms such as Seagliders to quantify the interactions between biogeochemical processes and the marine carbonate system at high spatiotemporal resolution. - , - Refereed - , - 14.a - , - N\/A - , - Pilot and Demonstrated - , - Validated (tested by third parties) - , - SeaGlider - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1762", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1762", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1762", "url": "https:\/\/hdl.handle.net\/11329\/1762" }, "author": [ { "@type": "Person", "name": "Possenti, Luca" }, { "@type": "Person", "name": "Humphreys, Matthew P." }, { "@type": "Person", "name": "Bakker, Dorothee C. E." }, { "@type": "Person", "name": "Cobas-Garc\u00eda, Marcos" }, { "@type": "Person", "name": "Fernand, Liam" }, { "@type": "Person", "name": "Lee, Gareth A." }, { "@type": "Person", "name": "Pallottino, Francesco" }, { "@type": "Person", "name": "Loucaides, Socratis" }, { "@type": "Person", "name": "Mowlem, Matt Charles" }, { "@type": "Person", "name": "Kaiser, Jan" } ], "keywords": [ "pH", "Glider", "Air-sea gas flux", "Respiration", "Deep-chlorophyll maximum", "Oxygen", "Dissolved gases", "pH sensors", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/767", "name": "Performance Verification Statement for the Greenspan EC3000 Conductivity Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the Greenspan EC3000 conductivity sensor evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by ACT QA specialists, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the Greenspan EC3000 exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 - 32 oC (R2 = 0.999, SE = 0.118 and slope = 0.997). The mean of the absolute difference between instrument measured salinity and reference sample salinity for all 15 treatments was -0.0426 \u00b10.1176 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were 0.1306 \u00b10.08902 mS\/cm and 0.0935 \u00b10.1377 oC, respectively. Across all five field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. Extensive and rapid biofouling at the FL and GA test sites severely impacted instrument performance within approximately one week. Based on initial relative accuracy of the instrument during the first few days of deployment period, instrument performance was also affected by calibration issues. The initial offsets in measurement salinity were 0.218, 0.200, and -0.210 for the FL, GA, and HI test deployments. The accuracy was much better for the entire MI freshwater deployment and initially for the HI with offsets of -0.0006 and 0.030 psu, respectively. When instrument response for the first 14 days of deployment was compared together for all five field sites, a fairly consistent and linear performance response was observed with R2 = 0.982, SE = 1.789 and slope = 0.982. Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. At the three sites where these tests were successful, field deployment results were largely reflective of biofouling impacts and not calibration drift in the instrument. On one occasion a very low negative offset in instrument readings for the pre-test may have resulted from the entrainment of air bubbles in the conductivity cell. During this evaluation, significant problems were encountered with the provided software and several interactions with the manufacturer were required before all instruments could be programmed properly for the tests. Several of the test sites had incomplete data records. For the FL field test about 5 % of the data were lost. For the GA field test, a battery failure occurred and only 7% of the deployment record was useable. For the HI field test, we could not get the instrument working properly and lost the pre-deployment test and the first week of the mooring test. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 1 and plus 1 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Sub surface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/767", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/767", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/767", "url": "https:\/\/hdl.handle.net\/11329\/767" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/645", "name": "Harmful algal blooms.", "description": " - Harmful algal blooms are increasing in frequency and magnitude in many parts of the world, and one of the sectors of society that is being increasingly affected is the desalination industry. Given trends in the development of that industry, as well as the global expansion of the HAB problem, impacts will continue to occur, and are likely to increase. Desalination plant operators and managers are urged to take a more active role in determining the nature of the algal populations that are in the waters near their intakes, as this can directly help with identification of timely and appropriate mitigation strategies. One of the many challenges desalination plant managers face is that HABs are incredibly diverse in terms of toxicity, cell size, morphology, and bloom dynamics, and this diversity needs to be recognized when developing and implementing monitoring and mitigation strategies. Partnerships between regional HAB scientists and desalination operators and managers are encouraged as these will help the managers understand the nature of the problems they are facing. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Phytoplankton biomass and diversity - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/645", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/645", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/645", "url": "https:\/\/hdl.handle.net\/11329\/645" }, "author": [ { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2529", "name": "ISO 22787:2023. Marine environmental impact assessment (MEIA) \u2014 Technical specifications for marine biotic surveys in the international seabed area \u2014 General principles. Edition 1.", "description": " - This document provides general provisions and technical recommendations for conducting marine biological surveys, mainly for marine biological baseline surveys in the exploration of deep-sea solid mineral resources in the international seabed area. This document provides general technical recommendations for components of marine biotic surveys in the international seabed area, including station and survey line design, sampling strategies, survey items, equipment for survey and analysis, and sample preservation and analysis. This document is applicable to marine biotic surveys in the international seabed area. - , - Published - , - Refereed - , - Current - , - 14.7 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2529", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2529", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2529", "url": "https:\/\/hdl.handle.net\/11329\/2529" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "International seabed area", "Environmental impact assessment", "Mineral resources", "Fish", "Human activity", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1152", "name": "Volume 12: OGC CDB Navaids Attribution and Navaids Attribution Enumeration Values. Version 1.0.", "description": " - This OGC Best Practice, a volume of the CDB document set, provides a list and description of the instance-level attribution fields held in Navigation Dataset Instance Attribute files. Please refer to section 3.7 of the CDB Core Standard (Volume 1) for information on the tables that use the Navaids key words. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1152", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1152", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1152", "url": "https:\/\/hdl.handle.net\/11329\/1152" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/415", "name": "Intercalibration in Chemical Oceanography.[Webpage]", "description": " - This Special Issue, the first of its kind for the journal, is devoted to the topic of intercalibration as applied to chemical measurements in the ocean. Rather than giving a formal metrological definition of intercalibration, it is simply the open sharing of data and expertise by analysts to obtain the same, and hopefully accurate, value for a given parameter such as the concentration, isotopic composition, or chemical speciation of a trace element. Laboratories are said to be intercalibrated when they all get the same values within the experimental errors. It is important to note that this does not mean that each individual laboratory needs to be using the same analytical techniques or even sampling methods, it only is the final results that count; this will be evident in the special issue papers that follow. Most of the papers in this issue are a result of the intercalibration phase of GEOTRACES, an international program to examine the biogeochemistry of trace elements and isotopes (TEIs) in the world s oceans. As so many countries are participating in GEOTRACES and sampling all oceans, it was essential that intercalibration included sampling and sample handling in addition to the analytical steps. Moreover, GEOTRACES studies TEIs in the dissolved and particulate phases, and their chemical forms or speciation, so these add even more to the complexity of performing an intercalibration. All of these aspects of intercalibration in the real ocean are touched upon in this special issue. - , - Published - , - Intercalibration in chemical oceanography\u2014Getting the right number. An intercomparison of procedures for the determination of total mercury in seawater and recommendations regarding mercury speciation during GEOTRACES cruises . GEOTRACES intercalibration of neodymium isotopes and rare earth element concentrations in seawater and suspended particles. Part 1: reproducibility of results for the international intercomparison. GEOTRACES intercalibration of neodymium isotopes and rare earth element concentrations in seawater and suspended particles. Part 2: Systematic tests and baseline profiles. Intercalibration of Cd and Pb concentration measurements in the northwest Pacific Ocean. Determination of 232Th and 230Th in seawater using a chemical separation procedure and thermal ionization mass spectrometry. Sampling for particulate trace element determination using water sampling bottles: methodology and comparison to in situ pumps. Rapid and noncontaminating sampling system for trace elements in global ocean surveys. An intercalibration between the GEOTRACES GO\u2010FLO and the MITESS\/Vanes sampling systems for dissolved iron concentration analyses (and a closer look at adsorption effects). GEOTRACES radium isotopes interlaboratory comparison experiment. Improvements to 232\u2010thorium, 230\u2010thorium, and 231\u2010protactinium analysis in seawater arising from GEOTRACES intercalibration . The organic complexation of iron and copper: an intercomparison of competitive ligand exchange\u2010adsorptive cathodic stripping voltammetry (CLE\u2010ACSV) techniques. High resolution determination of nanomolar concentrations of dissolved reactive phosphate in ocean surface waters using long path liquid waveguide capillary cells (LWCC) and spectrometric detection . Intercalibration of selected anthropogenic radionuclides for the GEOTRACES Program. Erratum: GEOTRACES radium isotopes interlaboratory comparison experiment. Osmium contamination of seawater samples stored in polyethylene bottles. Intercalibration studies of short\u2010lived thorium\u2010234 in the water column and marine particles . GEOTRACES IC1 (BATS) contamination\u2010prone trace element isotopes Cd, Fe, Pb, Zn, Cu, and Mo intercalibration . Getting good particles: Accurate sampling of particles by large volume in\u2010situ filtration. Intercalibration studies of 210Po and 210Pb in dissolved and particulate seawater samples . Evaluation of commonly used filter substrates for the measurement of aerosol trace element solubility. Methods for the sampling and analysis of marine aerosols: results from the 2008 GEOTRACES aerosol intercalibration experiment. Effects of flow rates and composition of the filter, and decay\/ingrowth correction factors involved with the determination of in situ particulate 210Po and 210Pb in seawater . - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/415", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/415", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/415", "url": "https:\/\/hdl.handle.net\/11329\/415" }, "contributor": [ { "@type": "Organization", "name": "John Wiley for Association for the Sciences of Limnology and Oceanography (ASLO)" } ], "keywords": [ "GEOTRACES", "Intercalibration", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2480", "name": "MEDIN data guideline for photo-identification of cetaceans and surface swimming sharks Version 3.1.", "description": " - This guideline covers the recording of data collected using photo-identification techniques and is based on the protocol developed by CCW. It covers both the raw data from such sampling, and the methodologies to be used (e.g. sampling devices used). The archive of derived media is covered in B01 the MEDIN data guideline for the archiving of digital photographs - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Maturity Level 4 (Better Practice) - , - Best Practices - , - Manual (includ, handbokks, guide, cookbook etc) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2480", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2480", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2480", "url": "https:\/\/hdl.handle.net\/11329\/2480" }, "author": [ { "@type": "Person", "name": "Seeley, B." }, { "@type": "Person", "name": "Charlesworth, M." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Sharks", "Whales", "Photoidentifiation", "Photo-Identification", "Licensing disturbance", "Digital imagery", "Birds, mammals and reptiles", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data processing", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1639", "name": "Best Practices in Crafting the Calibrated, Enhanced-Resolution Passive-Microwave EASE-Grid 2.0 Brightness Temperature Earth System Data Record.", "description": " - Since the late 1970s, satellite passive-microwave brightness temperatures have been a mainstay in remote sensing of the cryosphere. Polar snow and ice-covered ocean and land surfaces are especially sensitive to climate change and are observed to fluctuate on interannual to decadal timescales. In regions of limited sunlight and cloudy conditions, microwave measurements are particularly valuable for monitoring snow- and ice-covered ocean and land surfaces, due to microwave sensitivity to phase changes of water. Historically available at relatively low resolutions (25 km) compared to optical techniques (less than 1 km), passive-microwave sensors have provided short-timescale, large-area spatial coverage, and high temporal repeat observations for monitoring hemispheric-wide changes. However, historically available gridded passive microwave products have fallen short of modern requirements for climate data records, notably by using inconsistently-calibrated input data, including only limited periods of sensor overlaps, employing image-reconstruction methods that tuned for reduced noise rather than enhanced resolution, and using projection and grid definitions that were not easily interpreted by geolocation software. Using a recently completed Fundamental Climate Data Record of the swath format passive-microwave record that incorporated new, cross-sensor calibrations, we have produced an improved, gridded data record. Defined on the EASE-Grid 2.0 map projections and derived with numerically efficient image-reconstruction techniques, the Calibrated, Enhanced-Resolution Brightness Temperature (CETB) Earth System Data Record (ESDR) increases spatial resolution up to 3.125 km for the highest frequency channels, and satisfies modern Climate Data Record (CDR) requirements as defined by the National Research Council. We describe the best practices and development approaches that we used to ensure algorithmic integrity and to define and satisfy metadata, content and structural requirements for this high-quality, reliable, consistently gridded microwave radiometer climate data record. - , - Refereed - , - 14.a - , - Sea ice - , - Multi-organisational - , - Passive microwave sensor - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1639", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1639", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1639", "url": "https:\/\/hdl.handle.net\/11329\/1639" }, "author": [ { "@type": "Person", "name": "Brodzik, Mary J." }, { "@type": "Person", "name": "Long, David. G." }, { "@type": "Person", "name": "Hardman, Molly A." } ], "keywords": [ "Passive-microwave remote sensing", "Brightness temperatures", "Image reconstruction", "Cryosphere", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1522.4", "name": "Guidelines and forms for gathering marine litter data: beach and seafloor trawlings. Version 7.1, 26\/10\/2022.", "description": " - Since its third phase (dated 2016), EMODnet Chemistry's scope of attention has been expanded with gathering data and developing access to data and data products for Marine Litter. This document gives background information about EMODnet strategy for marine litter (beach and seafloor) data collection, its synergy with existing information systems and achievements of EMODnet Chemistry so far. Thereafter it gives detailed information on how to deal with marine litter data from beaches and seafloor trawlings and, in particular, the formats to be used for gathering and describing this type of marine litter data sets by EMODnet Chemistry participants on a European scale. - , - Published - , - We acknowledge the fundamental contribution of EMODnet Chemistry Steering Committee and Technical Working Group, MSFD Technical Subgroup on Marine Litter, Regional Sea Conventions (OSPAR, HELCOM, UNEP\/MAP Barcelona Convention, BSCS Black Sea Commission), ICES, ARPA FVG, CEFAS. We also acknowledge the contribution of the following EU-projects: BASEMAN, PERSEUS, MEDITS, DeFishGear, EMBLAS. - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1522.4", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1522.4", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1522.4", "url": "https:\/\/hdl.handle.net\/11329\/1522.4" }, "author": [ { "@type": "Person", "name": "Galgani, Francois" }, { "@type": "Person", "name": "Giorgetti, Alessandra" }, { "@type": "Person", "name": "Le Moigne, Morgan" }, { "@type": "Person", "name": "Brosich, Alberto" }, { "@type": "Person", "name": "Vinci, Matteo" }, { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Molina Jack, Marina Eugenia" }, { "@type": "Person", "name": "Holdsworth, Neil" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Hanke, Georg" }, { "@type": "Person", "name": "Moncoiffe, Gwenaelle" }, { "@type": "Person", "name": "Schaap, Dick" }, { "@type": "Person", "name": "Giorgi, Giordano" }, { "@type": "Person", "name": "Addamo, Anna" }, { "@type": "Person", "name": "Chaves Montero, Maria del Mar" }, { "@type": "Person", "name": "Cociancich, A." } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Chemistry" } ], "keywords": [ "Marine litter", "Marine plastic", "Plastic litter", "Data acquisition", "Beach litter", "Anthropogenic contamination", "Human activity", "Data Management Practices::Data interoperability development", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/682", "name": "Determination of perfluoroalkyl compounds in water, sediment, and biota.", "description": " - This document provides advice on the analysis of polyfluoroalkyl compounds (PFCs) in samples of water, sediment, and biota. The analysis of PFCs in these matrices generally includes extraction with organic solvents, clean\u2010up, and liquid chromatography (LC) with mass spectrometric (MS) detection. This document provides an overview of environmentally relevant PFCs and information on the currently applied techniques for the analysis of these PFCs, including sampling, pretreatment, extraction, clean\u2010up, instrumental analysis, quantification and quality assurance, and quality control. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/682", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/682", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/682", "url": "https:\/\/hdl.handle.net\/11329\/682" }, "author": [ { "@type": "Person", "name": "Ahrens, L." }, { "@type": "Person", "name": "Vorkamp, K." }, { "@type": "Person", "name": "Lepom, P." }, { "@type": "Person", "name": "Bersuder, P." }, { "@type": "Person", "name": "Theobald, N." }, { "@type": "Person", "name": "Ebinghaus, R." }, { "@type": "Person", "name": "Bossi, R." }, { "@type": "Person", "name": "Barber, J. L." }, { "@type": "Person", "name": "McGovern, E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1932", "name": "Identification of new and cross-cutting technologies and solutions to boost blue growth.", "description": " - The Europe 2020 strategy clearly signalled the importance of industrial competitiveness for growth and jobs as well as for Europe\u2019s ability to address societal challenges. In this context, mastering and deploying \"enabling and cross cutting technologies\" will be critical in developing new products and services needed to deliver a smart and sustainable knowledge-based maritime economy. Advanced technologies will become essential for a sustainable management of our seas, for the development of the blue growth agenda and for a better understanding of the marine environment in a context of increasing pressure of human activities and the growing vulnerability of our coastal areas. However, the broad range of topics and issues related to the development of marine and maritime technologies is extending from traditional maritime industries such as fisheries, maritime transport and dredging to fast pace & cutting edge emerging blue growth sectors such as ocean energy and blue biotech. The technology frontiers are constantly evolving thus demanding continuous monitoring and surveillance of technological developments. An example of such a rapidly evolving frontier is biotechnology and genomics for marine monitoring1 . Substantial mapping work has been performed at EU level in marine and maritime research and technologies by various organizations such as SEAS-ERA , BONUS, the European Marine Board, and MARTEC ERA-net to name but a few. However, these mapping activities despite their relevance and quality, are too often focusing on specific disciplines, sectors or geographical areas, and fail to look to the intersections between sectors and disciplines. This is exactly where JPI Oceans adds value. JPI Oceans aims to address broad priority areas which lie at the intersections of the marine environment, climate change and human activities (see figure 1). - , - CSA Oceans - , - Published - , - Current - , - 14.a - , - Organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1932", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1932", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1932", "url": "https:\/\/hdl.handle.net\/11329\/1932" }, "author": [ { "@type": "Person", "name": "Thorud, K." }, { "@type": "Person", "name": "Horn, L." }, { "@type": "Person", "name": "Johne, B." }, { "@type": "Person", "name": "Blanchard, L." } ], "contributor": [ { "@type": "Organization", "name": "JPI Oceans" } ], "keywords": [ "Blue Growth", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2551", "name": "ANSI\/ASA S12.64-2009: Measuring Underwater Sound from Ships.", "description": " - This standard describes the measurement systems, procedures, and methodologies used for the beam aspect measurement of underwater sound pressure levels from ships for a given operating condition. The resulting quantities are reported as nominal source level values in one-third octave bands. It does not require the use of a specific ocean location, but the requirements for an ocean test site are provided. The underwater sound pressure level measurements are performed in the far-field and then corrected to a reference distance of 1 m. This standard is applicable to any and all surface vessels either manned or unmanned. This standard is not applicable to submerged vessels or to aircraft. Measurement systems are described for measurement of underwater sound pressure levels and also the distance or range between the underwater transducers and the subject vessel. Processing and reporting of the data are described, and informational guidance is provided. This standard does not specify or provide guidance on underwater noise criteria. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2551", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2551", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2551", "url": "https:\/\/hdl.handle.net\/11329\/2551" }, "contributor": [ { "@type": "Organization", "name": "American National Standards Institute, Inc. (ANSI)" } ], "keywords": [ "Sound pressure", "Ship noise", "Underwater sound", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/450", "name": "Argo Quality Control Manual for CTD and Trajectory Data, Version 3.1,16 January 2018. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-426]", "description": " - A CTD (conductivity, temperature, depth) device measures temperature and salinity versus pressure. This document is the Argo quality control manual for CTD and trajectory data. It describes two levels of quality control: - The first level is the real-time system that performs a set of agreed automatic checks. - The second level of quality control is the delayed-mode system. These quality control procedures are applied to the parameters JULD, LATITUDE, LONGITUDE, PRES, TEMP, PSAL, and CNDC. - , - Published - , - Refereed - , - Superseded - , - Subsurface temperature - , - Sea surface temperature - , - Subsurface salinity - , - Sea surface salinity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/450", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/450", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/450", "url": "https:\/\/hdl.handle.net\/11329\/450" }, "author": [ { "@type": "Person", "name": "Wong, Annie" }, { "@type": "Person", "name": "Keeley, Robert" }, { "@type": "Person", "name": "Carval, Thierry" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Conductivity", "Argo floats", "Argo profiles", "Real time quality control", "Delayed mode quality control", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1101", "name": "Observations and Measurements - XML Implementation. Version 2.0.", "description": " - This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O&M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO\/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1101", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1101", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1101", "url": "https:\/\/hdl.handle.net\/11329\/1101" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "XML implementation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/783", "name": "Alliance for Coastal Technologies: Advancing Moored pCO2 Instruments in Coastal Waters.", "description": " - The Alliance for Coastal Technologies (ACT) has been established to support innovation and to provide the information required to select the most appropriate tools for studying and monitoring coastal and ocean environments. ACT is a consortium of nationally prominent ocean science and technology institutions and experts who provide credible performance data of these technologies through third-party, objective testing. ACT technology veri\ufb01cations include laboratory and\ufb01eld tests over short- and long-term deployments of commercial technologies in diverse environments to provide unequivocal, unbiased con\ufb01rmation that technologies meet key performance requirements. ACT demonstrations of new technologies validate the technology concept and help eliminate performance problems before operational introduction. ACT\u2019s most recent demonstration of pCO2 sensors is an example of how ACT advances the evolution of ocean observing technologies, in this case to address the critical issue of ocean acidi\ufb01cation, and promotes more informed decision making on technology capabilities and choices. Keywords: emerging technology, sensors, ocean observing, pCO2, ocean acidi\ufb01cation - , - Published - , - Refereed - , - Current - , - Carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/783", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/783", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/783", "url": "https:\/\/hdl.handle.net\/11329\/783" }, "author": [ { "@type": "Person", "name": "Tamburri, M.N." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Atkinson, M.J." }, { "@type": "Person", "name": "Schar, D.W.H." }, { "@type": "Person", "name": "Robertson, C.Y." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Buckley, E.N" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2371", "name": "Ocean Data Publication Cookbook.", "description": " - This \"Cookbook\" has been written for data managers and librarians who are interested in assigning a permanent identifier to a dataset for the purposes of publishing that dataset online and for the citation of that dataset within the scientific literature. A formal publishing process adds value to the dataset for the data originators as well as for future users of the data. Value may be added by providing an indication of the scientific quality and importance of the dataset (as measured through a process of peer review), and by ensuring that the dataset is complete frozen and has enough supporting metadata and other information to allow it to be used by others. Publishing a dataset also implies a commitment to persistence of the data and allows data producers to obtain academic credit fot their work in creating the dataset. One form of persistent identifier is the Digital Object Identifier (DOI). A DOI is a character string (a \"digital identifier\") used to provide a unique identity of an object such as an electronic document. Metadata about the object is stored in association with the DOI name and this metadata may include a location where the object can be found. The DOI for a document is permanent, whereas its location and other metadata may change. Referring to an online document by its DOI provides more stable linking than simply referring to it by its URL, because if its URL changes, the publisher need only update the metadata for the DOI to link the new URL. A DOI may be obtained fora variety of objects, including documents, data files and images. The assignment of DOIs to peer-reviewed journal articles has become commonplace. This cookbook provides a step-by-step guide to the data publication process and showcases some best practices for data publication. This cookbook is an outcome of the 5th session of the SCOR\/IODE\/MBLWHOI Library Workshop on Data Publication. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2371", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2371", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2371", "url": "https:\/\/hdl.handle.net\/11329\/2371" }, "author": [ { "@type": "Person", "name": "Leadbetter, A." }, { "@type": "Person", "name": "Raymond, L." }, { "@type": "Person", "name": "Chandler, C." }, { "@type": "Person", "name": "Pikula, L." }, { "@type": "Person", "name": "Pissierssens, P." }, { "@type": "Person", "name": "Urban, E." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data publication", "Cross-discipline", "Data citation", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/433", "name": "Methods and Best Practice to Intercompare Dissolved Oxygen Sensors and Fluorometers\/Turbidimeters for Oceanographic Applications.", "description": " - In European seas, ocean monitoring strategies in terms of key parameters, space and time scale vary widely for a range of technical and economic reasons. Nonetheless, the growing interest in the ocean interior promotes the investigation of processes such as oxygen consumption, primary productivity and ocean acidity requiring that close attention is paid to the instruments in terms of measurement setup, configuration, calibration, maintenance procedures and quality assessment. To this aim, two separate hardware and software tools were developed in order to test and simultaneously intercompare several oxygen probes and fluorometers\/turbidimeters, respectively in the same environmental conditions, with a configuration as close as possible to real in-situ deployment. The chamber designed to perform chlorophyll-a and turbidity tests allowed for the simultaneous acquisition of analogue and digital signals of several sensors at the same time, so it was sufficiently compact to be used in both laboratory and onboard vessels. Methodologies and best practice committed to the intercomparison of dissolved oxygen sensors and fluorometers\/turbidimeters have been used, which aid in the promotion of interoperability to access key infrastructures, such as ocean observatories and calibration facilities. Results from laboratory tests as well as field tests in the Mediterranean Sea are presented. - , - Refereed - , - Oxygen - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/433", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/433", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/433", "url": "https:\/\/hdl.handle.net\/11329\/433" }, "author": [ { "@type": "Person", "name": "Pensieri, Sara" }, { "@type": "Person", "name": "Bozzano, Roberto" }, { "@type": "Person", "name": "Schiano, M. Elisabetta" }, { "@type": "Person", "name": "Ntoumas, Manolis" }, { "@type": "Person", "name": "Potiris, Emmanouil" }, { "@type": "Person", "name": "Frangoulis, Constantin" }, { "@type": "Person", "name": "Podaras, Dimitrios" }, { "@type": "Person", "name": "Petihakis, George" } ], "keywords": [ "Dissolved oxygen", "Fluorescence", "Turbidity", "Intercomparison", "Operational oceanography", "Ocean observing system", "Marine technology", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/878", "name": "Guidelines for Measuring Changes in Seawater pH and Associated Carbonate Chemistry in Coastal Environments of the Eastern United States.", "description": " - These guidelines are written for a variety of audiences ranging from shellfish growers interested in monitoring pH with inexpensive equipment to citizen monitoring groups to advanced chemistry laboratories interested in expanding existing capabilities. The purpose is to give an overview of available sampling, analytical and data reporting approaches that will contribute to the usefulness of coastal acidification measurements for both the needs of those intending to monitor as well as those of other interested stakeholders along the Atlantic seaboard of the US. The state of the science, including recommended best practices, is rapidly evolving, so certain sections may be either too sparse or too detailed. Thus, we encourage users of the guidelines to begin with a careful review of the detailed contents listing and to take note of references to other guidelines available in the open literature. Coastal and estuarine systems hold significant economic and recreational importance for communities along the Atlantic seaboard. These systems support finfish, bivalve, crustacean and seabird populations and play vital roles in water quality and the cycling of nitrogen and carbon. However, seawater pH and other characteristics of coastal carbonate chemistry are changing through a process known as coastal acidification, which is a fundamentally similar but more complex version of ocean acidification. Coastal acidification has the potential to disrupt the species composition and ecological functioning of coastal biological communities and threaten commercially important aquatic life. As in the open ocean, the carbonate system in coastal waters consists of the major forms of inorganic carbon present in seawater, which are carbon dioxide, bicarbonate and carbonate. Although there are numerous groups interested in monitoring pH or other carbonate parameters in coastal waters, there is little available guidance on how these groups can best utilize or expand their existing capabilities. Coastal acidification differs somewhat from ocean acidification, which is a global process that involves a reduction in the pH of the ocean (see section below on the seawater carbonate system). It is caused primarily by carbon dioxide from the atmosphere entering the ocean. Coastal acidification is a more localized, further reduction in pH. It is primarily driven by high levels of respiration (typically by bacteria involved in decomposition), which releases carbon dioxide into the water. Coastal acidification is often fueled by nutrients entering the water from land, stimulating phytoplankton blooms that subsequently decompose on or near the seabed. Coastal acidification happens in coastal waters because that is where high nutrient levels and algal blooms occur [http:\/\/www.necan.org\/]. In the past few decades, only half of the CO2 released by human activity, including fossil fuel emissions, land use change and cement production, has remained in the atmosphere; of the remainder, about 30% has been taken up by the ocean and 20% by the terrestrial biosphere (Khatiwala et al., 2009; Sabine et al., 2004). The evidence for decreasing pH in the open ocean is unequivocal (Caldeira and Wickett, 2003; Doney et al., 2009), as is the evidence for negative effects on many marine organisms when these chemical changes are simulated under controlled laboratory conditions (e.g., Kroeker et al., 2013; Talmage and Gobler, 2009). However, scientists are just beginning to test the severity of these effects in ocean and coastal ecosystems where an organism\u2019s chemical environment is only one of many ecological factors affecting its fitness. There are many clear cases of extreme biological sensitivity to acidification among economically important coastal organisms such as shellfish and corals, but the biological responses of many other species are variable and difficult to predict (Kroeker et al., 2010). For example, many types of marine plants and algae may be harmed by lower pH (i.e., higher acidity) but may also benefit from increases in the carbon dioxide they require for photosynthesis (Riebesell, 2004). Thus, although species composition may change in the future, neither the details nor the ecosystem level consequences (e.g., food production) are predictable (Grear et al., 2017). The continued study of these effects needs to be accompanied by a clear understanding of how coastal carbonate chemistry varies through space and time. A number of methods have been described for the coastal current and upwelling zones of the US west coast (e.g., McLaughlin et al., 2014; McLaughlin et al., 2013). While coastal upwelling occurs on the east coast, deep water upwelling does not strongly influence acidification in the short term (Wang et al., 2013). Thus, observations from the mid- and outer-shelf may be less comparable to the 2 | M e a s u r i n g C h a n g e s i n C o a s t a l C a r b o n a t e C h e m i s t r y inshore environment than on the west coast. Moreover, many coastal organisms have sensitive estuarine and nearshore life stages that coincide with mid and late summer extremes in dissolved oxygen, pH, and other characteristics of the carbonate system and are thus expected to be especially vulnerable (Wallace et al., 2014). These issues raise concern about coverage in the nearshore environments that fall outside of areas covered by the major federal observing programs (e.g., ECOMON and GOMECC) and which tend to be too infrequent to capture either seasonal or more frequent excursions in carbonate chemistry. The decrease in pH in the open ocean during the industrial age has been on the order of 0.1 to 0.2 pH units per century (Caldeira and Wickett, 2003), which translates to more than a 25% increase in the concentration of hydrogen ions. Relative to coastal environments, pH in the open ocean is generally less dynamic in terms of diurnal and seasonal variations (Hofmann et al., 2011), which has made open ocean trends easier to distinguish from background variability. In addition, the ocean is extremely important to the global carbon cycle, so scientists have been taking highly precise measurements of the carbonate system in the open ocean for decades. However, due to greater variability of pH in the coastal environment, a trend of similar magnitude would require a larger number, and longer time-series, of samples to detect (Keller et al., 2014). This creates a unique challenge for coastal monitoring because current best practices for handling and analyzing samples for carbonate system parameters are expensive, and therefore possibly not feasible for the high frequency and spatially extensive sampling that would be necessary to detect decadal and spatial trends in the coastal environment. For example, while pH is easy to measure with handheld meters or multi-function autonomous sensors that use glass membrane pH electrodes, chemical oceanographers often question the value of these measurements for the study of carbonate chemistry, including acidification (Re\u00b4rolle et al., 2012). Although this criticism is sometimes unwarranted because of differences in study goals (e.g., see the \u201cclimate vs. weather quality\u201d discussion below; Newton et al., 2014), accepted protocols are unlikely to change without an improved understanding of coastal acidification, and until issues relating to appropriate pH scales, calibration standards, instrument drift, and indirect pH estimation are further refined or agreed upon by the research community. These guidelines are meant to be a resource for learning about and performing measurements of the seawater carbonate system, especially as they relate to coastal acidification. The intended audience includes scientists in academic, government, and non-government organizations including those involved in citizen science and shellfish management. Many such organizations are already monitoring or beginning to monitor components of the seawater carbonate system that may be partially or completely sufficient for assessing coastal acidification. For example, specific organizations in the northeast are examining coastal acidification as a potential cause for recent declines in shellfish abundance. Other organizations study coastal carbonate chemistry and acidification as part of a broader interest in coastal carbon cycles. Clearly, there is a wide diversity of rationales and capabilities for monitoring acidification in the coastal environment. Numerous publications exist in the peer-reviewed and online \u201cgray\u201d literature that describe recommended practices for measuring and calculating the various components of the seawater carbonate system. Most of these resources are written by and for oceanographic researchers and place less emphasis on informing, for example, the expansion of an existing shellfish or nutrient monitoring program to include coastal acidification parameters. In addition, the available resources (e.g., Dickson et al., 2007; McLaughlin et al., 2014; Riebesell et al., 2010) tend to be generalized to accommodate a wide variety of instrument and laboratory 1 . I n t r o d u c t i o n | 3 configurations. This creates a challenge for the new investigator and slows the rate at which new monitoring efforts can be implemented. Thus, this document will attempt to address the unique issues and some of the available solutions for measuring the seawater carbonate system in coastal and estuarine environments. This includes alternatives and clarifications of existing best practices that will make them suitable for typical environments of the US east coast. Because the study of ocean and coastal acidification is changing rapidly, these guidelines are not meant to be prescriptive, but are intended to facilitate the development of compatible datasets for sharing insights and experiences from the present community of investigators interested in coastal acidification. Although these guidelines are intended to apply throughout the east coast, much of the nearshore research in the eastern US has been conducted in the northeast. There are likely to be solutions that we have not covered here, so continued communication through acidification monitoring networks will be critical. Before describing specific methods, we provide an overview of coastal acidification, the seawater carbonate system, and ecological considerations that normally affect study design. There is a vast literature on these topics for the ocean and a growing one for the coasts. For a recent overview of the state of the science in the US northeast, see Gledhill et al. (2015) and other resources on the Northeast Coastal Acidification Network (NECAN) website (http:\/\/www.necan.org). For other eastern US coastal regions, see ongoing developments on the SOCAN (http:\/\/secoora.org\/socan) and MACAN websites (http:\/\/midacan.org). Although the seawater carbonate system is described later in greater detail, our overview begins with the summary in Figure 1-1. - , - Published - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/878", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/878", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/878", "url": "https:\/\/hdl.handle.net\/11329\/878" }, "author": [ { "@type": "Person", "name": "Pimenta, Adam R." }, { "@type": "Person", "name": "Grear, Jason S." } ], "contributor": [ { "@type": "Organization", "name": "U.S. Environmental Protection Agency" } ], "keywords": [ "Ocean acidification", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1064", "name": "OGC\u00ae Earth Observation Metadata profile of Observations & Measurements, Version 1.1.", "description": " - This OGC Implementation Standard defines a profile of Observations and Measurements (ISO 19156:2010 and OGC 10-025r1) for describing Earth Observation products (EO products). This profile is intended to provide a standard schema for encoding Earth Observation product metadata to support the description and cataloguing of products from sensors aboard EO satellites. The metadata being defined in this document is applicable in a number of places where EO product metadata is needed. In the EO Product Extension Package for ebRIM (OGC 10-189). This extension package defines how to catalog Earth Observation product metadata described by this document. Using this metadata model and the Catalogue Service defined in OGC 10-189, client applications can provide the functionality to discover EO Products. Providing an efficient encoding for EO Product metadata cataloguing and discovery is the prime purpose of this specification. In the EO Application Profile of WMS (OGC 07-063r1). The GetFeatureInfo operation on the outline (footprint layer) should return metadata following the Earth Observation Metadata profile of Observation and Measurements. In a coverage downloaded via an EO WCS AP (OGC 10-140). In WCS 2.0 (OGC 10-084), the GetCoverage and DescribeCoverage response contains themetadata element intended to store metadata information about the coverage. The Earth Observation Application profile of WCS (OGC 10-140) specifies that the metadata format preferred for Earth Observation is defined by this document. Potentially enclosed within an actual product to describe georeferencing information as for instance within the JPEG2000 format using GMLJP2. GMLJP2 defines how to store GML coverage metadata inside a JP2 file. Earth Observation data products are generally managed within logical collections that are usually structured to contain data items derived from sensors onboard a satellite or series of satellites. The key characteristics differentiating products within the collections are date of acquisition, location as well as characteristics depending on the type of sensor, For example, key characteristics for optical imagery are the possible presence of cloud, haze, smokes or other atmospheric or on ground phenomena obscuring the image. The common metadata used to distinguish EO products types are presented in this document for generic and thematic EO products (i.e optical, radar, atmospheric, altimetry, limb-looking and synthesis and systematic products). From these metadata the encodings are derived according to standard schemas. In addition, this document describes the mechanism used to extend these schemas to specific missions and for specific purposes such as long term data preservation. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1064", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1064", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1064", "url": "https:\/\/hdl.handle.net\/11329\/1064" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2174", "name": "A guide on Fish Welfare in Spanish Aquaculture - Volume 1: Concepts and generalities.", "description": " - The elaboration of this guide on fish welfare in Spanish aquaculture is important to fix concepts, establish common bases and develop the first consensual guidelines on animal welfare. The document provides information on the state of aquaculture in Spain and contributes to promoting more coordinated, responsible development of animal welfare. It is aimed at companies and professionals in the aquaculture sector, public administrations, legislators, scientific-technological and educational sectors, and society in general. This publication is intended to be the first of a series of guides offering codes of conduct and recommendations for correctly evaluating and promoting the welfare of the different fish species and production systems in Spanish aquaculture. - , - This Guide has been financed by APROMAR with co-financing from the Ministry of Agriculture, Fisheries and Food of the Government of Spain and the European Maritime and Fisheries Fund of the European Union. European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Novel (no adoption outside originators) - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2174", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2174", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2174", "url": "https:\/\/hdl.handle.net\/11329\/2174" }, "author": [ { "@type": "Person", "name": "Gonz\u00e1lez Lecuona, Andr\u00e9s" }, { "@type": "Person", "name": "Mill\u00e1n Caravaca, Claudia" }, { "@type": "Person", "name": "S\u00e1nchez Lacalle, Daniel" }, { "@type": "Person", "name": "Mendiola Mart\u00ednez, Diego" }, { "@type": "Person", "name": "Rodr\u00edguez Valle, Garazi" }, { "@type": "Person", "name": "Ojeda Gonz\u00e1lez-Posada, Javier" }, { "@type": "Person", "name": "Villa Navarro, Javier" }, { "@type": "Person", "name": "Fern\u00e1ndez Aldana, Juan Manuel" }, { "@type": "Person", "name": "S\u00e1nchez Fern\u00e1ndez, Luis Miguel" }, { "@type": "Person", "name": "Arechavala L\u00f3pez, Pablo" } ], "contributor": [ { "@type": "Organization", "name": "Spanish Aquaculture Business Association (APROMAR)" } ], "keywords": [ "Farmed fish welfare", "Aquaculture", "Fish farming", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/281", "name": "Manual on Codes - International Codes, Volume I.2: Part B: Binary Codes and Part C: Common Features to Binary and Alphanumeric Codes. . (2014 : 2011 edition updated)", "description": " - Coded messages are used for the international exchange of meteorological information comprising observational data provided by the WWW Global O bserving System and processed data provided by the WWW Global Data - processing and Forecasting System. Coded messages are also used for the international exchange of observed and processed data required in specific applications of meteorology to various hum an activities and for exchanges of information related to meteorology - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/281", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/281", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/281", "url": "https:\/\/hdl.handle.net\/11329\/281" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Atmosphere", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1709", "name": "Project and Community Management in Polar Sciences \u2013 Challenges and Opportunities.", "description": " - Because geoscientific research often occurs via community-instigated bursts of activity with multi-investigator collaborations variously labelled as e.g., years (The International Polar Year IPY), experiments (World Ocean Circulation Experiment WOCE), programs (International Ocean Discovery Program), missions (CRYOSAT spacecraft), or decades (The International Decade of Ocean Exploration IDOE), successful attainment of research goals generally requires skilful scientific project management. In addition to the usual challenges of matching scientific ambitions to limited resources, on-going coordination and specifically project management, planning and implementation of polar science projects often involve many uncertainties caused by, for example, unpredictable weather or ocean and sea ice conditions, large-scale logistical juggling; and often these collaborations are spatially distributed and take place virtually. Large amounts of funding are needed to procure the considerable infrastructure and technical equipment required for polar expeditions; permissions to enter certain regions must be requested; and potential risks for expedition members as well as technical issues in extreme environments need to be considered. All these aspects are challenging for polar science projects, which therefore need a well thought-through program including a realistic alternative \u201cplan B\u201d and possibly also a \u201cplan C\u201d and \u201cplan D\u201d. The four most challenging overarching themes in polar science project management have been identified: international cooperation, interdisciplinarity, infrastructure, and community management. In this paper, we address ongoing challenges and opportunities in polar science project management based on a survey among 199 project and community managers and an additional of 85 project team members active in the field of polar sciences. Case studies and survey results are discussed with the conclusive goal to provide recommendations on how to fully reach the potential of polar sciences project and community management. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1709", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1709", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1709", "url": "https:\/\/hdl.handle.net\/11329\/1709" }, "author": [ { "@type": "Person", "name": "Werner, Kirstin" }, { "@type": "Person", "name": "Zaika, Yulia" }, { "@type": "Person", "name": "Pavlov, Alexey K." }, { "@type": "Person", "name": "Lidstr\u00f6m, Sven" }, { "@type": "Person", "name": "Pope, Allen" }, { "@type": "Person", "name": "Badhe, Renuka" }, { "@type": "Person", "name": "Br\u00fcckner, Marlen" }, { "@type": "Person", "name": "Cristini, Luisa" } ], "keywords": [ "Project management", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/966", "name": "IQOE \u2010 Inventory of existing standards for observations of sound in the ocean. Draft. Version 06 April 2018.", "description": " - The overview below presents international and national standards relevant for observations of sound in the ocean - , - Published - , - Current - , - Ocean sound - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/966", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/966", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/966", "url": "https:\/\/hdl.handle.net\/11329\/966" }, "contributor": [ { "@type": "Organization", "name": "International Quiet Ocean Experiment" } ], "keywords": [ "Ocean sound", "Underwater acoustics", "Sound effects", "Standards", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2203", "name": "A novel cost effective and high-throughput isolation and identification method for marine microalgae.", "description": " - Background: Marine microalgae are of major ecologic and emerging economic importance. Biotechnological screening schemes of microalgae for specific traits and laboratory experiments to advance our knowledge on algal biology and evolution strongly benefit from culture collections reflecting a maximum of the natural inter-and intraspecific diversity. However, standard procedures for strain isolation and identification, namely DNA extraction, purification, amplification, sequencing and taxonomic identification still include considerable constraints increasing the time required to establish new cultures. Results: In this study, we report a cost effective and high-throughput isolation and identification method for marine microalgae. The throughput was increased by applying strain isolation on plates and taxonomic identification by direct PCR (dPCR) of phylogenetic marker genes in combination with a novel sequencing electropherogram based screening method to assess the taxonomic diversity and identity of the isolated cultures. For validation of the effectiveness of this approach, we isolated and identified a range of unialgal cultures from natural phytoplankton communities sampled in the Arctic Ocean. These cultures include the isolate of a novel marine Chlorophyceae strain among several different diatoms. Conclusions: We provide an efficient and effective approach leading from natural phytoplankton communities to isolated and taxonomically identified algal strains in only a few weeks. Validated with sensitive Arctic phytoplankton, this approach overcomes the constraints of standard molecular characterisation and establishment of unialgal cultures. - , - Refereed - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2203", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2203", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2203", "url": "https:\/\/hdl.handle.net\/11329\/2203" }, "author": [ { "@type": "Person", "name": "Jahn, Martin T." }, { "@type": "Person", "name": "Schmidt, Katrin" }, { "@type": "Person", "name": "Mock, Thomas" } ], "keywords": [ "Microalgae", "Low cost", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1158", "name": "OGC Common DataBase Volume 1 Main Body. Version 1.0,0.", "description": " - The Common DataBase (CDB) Specification provides the means for a single, versionable, simulation-rich, synthetic representation of the earth. A database that conforms to this Specification is referred to as a Common DataBase or CDB. A CDB provides for a synthetic environment repository that is plug-and-play interoperable between database authoring workstations. Moreover, a CDB can be used as a common on-line (or runtime) repository from which various simulator client-devices can simultaneously retrieve and modify, in real-time, relevant information to perform their respective runtime simulation tasks; in this case, a CDB is plug-and-play interoperable between CDB-compliant simulators. A CDB can be readily used by existing simulation client-devices (legacy Image Generators, Radar simulator, Computer Generated Forces, etc.) through a data publishing process that is performed on-demand in real-time. The application of CDB to future simulator architectures will significantly reduce runtime-source level and algorithmic correlation errors, while reducing development, update and configuration management timelines. With the addition of the HLA\/FOM and DIS protocols, the application of the CDB Specification provides a Common Environment to which inter-connected simulators share a common view of the simulated environment. The CDB Specification is an open format Specification for the storage, access and modification of a synthetic environment database. The Specification defines the data representation, organization and storage structure of a worldwide synthetic representation of the earth as well as the conventions necessary to support all of the subsystems of a full-mission simulator. The Specification makes use of several commercial and simulation data formats endorsed by leaders of the database tools industry. The CDB synthetic environment is a representation of the natural environment including external features such as man-made structures and systems. It encompasses the terrain relief, terrain imagery, three-dimensional (3D) models of natural and man-made cultural features, 3D models of dynamic vehicles, the ocean surface, and the ocean bottom, including features (both natural and man-made) on the ocean floor. In addition, the synthetic environment includes the specific attributes of the synthetic environment data as well as their relationships. A CDB contains datasets organized in layers, tiles and levels-of-detail; together, these datasets represent the features of a synthetic environment for the purposes of distributed simulation applications. The organization of the synthetic environmental data in a CDB is specifically tailored for real-time applications. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1158", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1158", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1158", "url": "https:\/\/hdl.handle.net\/11329\/1158" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1844", "name": "The provision of ecosystem services by European aquaculture.", "description": " - Through the Commission communication \"The European Green Deal\", Europe reaffirms its commitment to respond to the climate and environmental challenges that will shape our common future. Global warming and climate change on the one hand and the loss of biodiversity on the other are challenges that we must respond to if we want to guarantee a sustainable future1. In line with the Green Deal, the Commission has published a new Biodiversity Strategy for 2030, COM (2020) 380, which proposes actions and commitments to address the loss of biodiversity in Europe, and the Farm to Fork Strategy, COM (2020) 381, with which to facilitate the transition to a sustainable and equitable food system. Both strategies are interconnected by the conviction that a sustainable food system must preserve biodiversity. In this context, European aquaculture must also contribute significantly to the protection of biodiversity, enhancing ecosystem services, preserving habitats and landscapes and constituting an important part of the EU\u2019s sustainable food systems, which can and should be diverse. The objective of this document is to promote, protect and value biodiversity and ecosystem services by recognizing and supporting the European aquaculture that provides these services. 1 Rockstr\u00f6m et al. (2009) and Steffeen et al. (2011, 2015) warn that the planet has exceeded its safe limits for certain biophysical processes, climate change and the rate of loss of biodiversity; these authors add the imbalance in the biogeochemical flow (mainly in the nitrogen and phosphorus cycle). The other areas for which planetary boundaries have been defined are stratospheric ozone depletion, ocean acidification, global freshwater consumption, land use changes, atmospheric aerosol load, and chemical pollution (renamed \u2018new entities\u2019). Although uncertainties remain in the evaluation of these last two limits, there is a strong consensus that all these problems are deeply interconnected, so there are no individualized solutions. In any case, the sustainable development of the world is only possible if the safety thresholds of these nine planetary processes are not exceeded. This will also contribute to the right to food of European citizens, which the UN defines as \u2018the right to have [\u2026] access, either directly or by means of financial purchases, to quantitatively and qualitatively adequate and sufficient food corresponding to the cultural traditions of the people to which the consumer belongs, and which ensures a physical and mental, individual and collective, fulfilling and dignified life free from anxiety\u20192. In the context of the COVID-19 pandemic this became not only more relevant but also of utmost importance. - , - European Union (EU) - , - Published - , - Refereed - , - Current - , - 14.2 - , - N\/A - , - Validated (tested by third parties) - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1844", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1844", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1844", "url": "https:\/\/hdl.handle.net\/11329\/1844" }, "contributor": [ { "@type": "Organization", "name": "Aquaculture Advisory Council (AAC)" } ], "keywords": [ "Aquaculture", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/915", "name": "2017 U.S. Underwater Glider Workshop Report, January 18-19, 2017", "description": " - Autonomous underwater gliders provide an advanced and cost-effective mechanism for collecting essential oceanographic data at spatial and temporal scales that help the United States achieve critical research and operational objectives. In 1989, Henry Stommel and Doug Webb proposed the first Slocum Glider with a buoyancy engine powered by a heat exchanger, which has led to the development of new underwater glider vehicles (e.g. SeaExplorer, Seaglider, Slocum, Spray) and sophisticated data software products. The broad technical and geographic expansion of underwater gliders presents a unique opportunity for greater coordination among the ocean observing community for organizing decision-makers, glider operators, and data users to enhance science, marine services, and maximize societal benefits. Presented with this opportunity, the Interagency Ocean Observing Committee (IOOC), whose mission is to enhance the efficiency of and motivation for ocean observing networks, commissioned a Glider Task Team comprised of regional and national glider experts and federal resource managers. The Task Team convened a U.S. Underwater Glider Workshop attended by 90 national and international glider experts from government agencies, universities, nonprofits, and industry. - , - Published - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/915", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/915", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/915", "url": "https:\/\/hdl.handle.net\/11329\/915" }, "contributor": [ { "@type": "Organization", "name": "Interagency Ocean Observation Committee" } ], "keywords": [ "Gliders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2058", "name": "A review of the technology standards for enabling digital twin. Version 2.", "description": " - In the process of developing digital twin enabling applications, a lack of reference to standards related to digital twin terms, architecture and models leads to differences between users' understanding of digital twin, and it is difficult to realize the interconnection of data, models, and services between different enterprises or fields. Therefore, digital twin, by its nature of interoperability between multiple domains, requires standardization as a pilot tool for implementation. This paper provides the background and introduction of digital twin technology based on the digital twin fivedimension model, then refers to the latest developments of digital twin standardization. We further analyze the challenges and provide suggestions of future digital twin standardization. The analysis of the standards landscape for digital twin consolidates information from governing bodies such as the International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), International Telecommunication Union (ITU), and Institute of Electrical and Electronics Engineers (IEEE) - , - 14.a - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2058", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2058", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2058", "url": "https:\/\/hdl.handle.net\/11329\/2058" }, "author": [ { "@type": "Person", "name": "Wang, Kai" }, { "@type": "Person", "name": "Wang, Yamin" }, { "@type": "Person", "name": "Li, Yizheng" }, { "@type": "Person", "name": "Fan, Xiaohui" }, { "@type": "Person", "name": "Xiao, Shanpeng" }, { "@type": "Person", "name": "Hu, Lin" } ], "keywords": [ "Digital Twin", "Standards", "Five-dimension model", "Cross-discipline", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/535", "name": "Earth Observations in Support of Global Water Quality.", "description": " - Declining coastal, estuarine and inland water quality has become a global issue of significant concern as anthropogenic activities expand and climate change threatens to cause major alterations to the hydrological cycle. The measurement of water quality variables via radiometric measurements of the water\u2019s optical properties has grown rapidly over recent years. Improvements in algorithms and product development, sensor technology and maturity, and data accessibility and provision have led to demonstrated confidence in remotely-sensed data with potential applications to water resources management. Management agencies, however, have been slow to embrace satellite-derived measurements to date even though important parameters such as chlorophyll-a, c-phycocyanin, suspended solids, coloured dissolved organic matter, light attenuation, Secchi Disk transparency and turbidity have been quantified with required accuracies using remotely-sensed data. An IOCCG working group on \"Earth Observations in Support of Global Water Quality Monitoring\" was formed to support the implementation of a global water quality monitoring service that contributes to the broader implementation of the Global Earth Observation System of Systems under the auspices of the Group on Earth Observations (GEO). The goal of the working group was to provide a strategic plan that incorporates current and future Earth Observation information into national and international near-coastal and inland water quality monitoring efforts by promoting best practices, coordination of efforts and partnerships, and proposing specific new linkages between data providers and data end users. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing Authors: Stewart Bernard, Caren Binding, Carsten Brockmann, Arnold Dekker, Paul DiGiacomo, Steven Greb, Derek Griffith, Steve Groom, Erin Hestir, Peter Hunter, Tiit Kutser, Chris Mannaerts, Mark Matthews, Daniel Odermatt, Lisl Robertson Lain, Blake A. Schaeffer, Stefan Simis, Evangelos Spyrakos , Richard P. Stumpf, Andrew Tyler, Erin A. Urquhart and Menghua Wang - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/535", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/535", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/535", "url": "https:\/\/hdl.handle.net\/11329\/535" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1352", "name": "Report of the Joint US Office of Naval Research, International Whaling Commission and US National Oceanic and Atmospheric Administration Workshop on Cetacean Tag Development, Tag Follow-up and Tagging Best Practices.", "description": " - The Workshop was held at the National Marine Fisheries Service office in Silver Spring, Maryland, USA from 6 to 8 September 2017. During this Workshop, limited time was devoted to the topic of understanding the impacts of invasive tagging and improving invasive tagging techniques. Therefore, a subgroup of the Silver Spring Workshop participants met at the Alaska Fisheries Science Center in Seattle, WA, USA on 19 and 20 June 2018 to develop more detailed recommendations for future directions in the development of invasive tag attachments. This report integrates discussions held during the two meetings. The agendas of the meetings in Silver Spring and Seattle are provided in Annexes A and B, respectively. Funding for the Workshop was provided by the International Whaling Commission (IWC), the United States National Oceanic and Atmospheric Administration\u2019 National Marine Fisheries Service (NOAA\/NMFS) and the United States Office of Naval Research (ONR). A total of 42 participants from 9 different countries attended the Silver Spring meeting, and 19 from 6 countries participated in the Seattle meeting. Participants included tag developers, tag users, veterinarians, engineers, representatives of governmental and intergovernmental agencies, and tag manufacturers. The list of participants is provided in Annex C. 1.1 Introduction of Chair and Rapporteurs Donovan was appointed Chair and Simeone, Double and Rowles acted as rapporteurs for the Workshop in Silver Spring. Weise and Schorr were nominated, respectively, Chair and rapporteur for the meeting in Seattle - , - International Whaling Commission SC\/68A\/Rep03. - , - Refereed - , - 14.A - , - Marine turtles, birds, mammals abundance and distribution - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1352", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1352", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1352", "url": "https:\/\/hdl.handle.net\/11329\/1352" }, "keywords": [ "Animal borne tracking", "Whales", "Tagging", "Tags", "Cetaceans", "Parameter Discipline::Biological oceanography::Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2351", "name": "Threshold Values for Marine Litter.", "description": " - The revised Commission Decision 2017\/848\/EU requires EU Member States to establish threshold values for criteria of Descriptor 10 on marine litter. Threshold values, which are now mandatory through the new provisions, are intended to contribute to Member States\u2019 determination of a set of characteristics for Good Environmental Status and enable their assessment of the extent to which Good Environmental Status is being achieved under the Marine Strategy Framework Directive (MSFD). The MSFD Technical Group on Marine Litter has been mandated, through the MSFD 2016-2019 work program of the Common Implementation Strategy, to develop approaches for setting threshold values and to work towards agreed threshold values. This document sets out the scope of setting threshold values for marine litter criteria, explores general concepts of threshold setting and how those concepts can be translated to address the various hazardous effects of marine litter. It evaluates potential options for setting threshold values and their suitability for use with marine litter. While thresholds for marine litter criteria in different environmental compartments may follow the same basic concepts, they may each require specific approaches and need to be discussed separately. Therefore, basic thoughts are presented and questions are raised, which should be addressed when defining threshold values for litter in the different marine compartments and for marine litter impacts. In conclusion, recommendations for marine litter threshold setting are made. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2351", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2351", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2351", "url": "https:\/\/hdl.handle.net\/11329\/2351" }, "author": [ { "@type": "Person", "name": "Werner, Stefanie" }, { "@type": "Person", "name": "Fischer, Elke" }, { "@type": "Person", "name": "Fleet, David" }, { "@type": "Person", "name": "Galgani, Fran\u00e7ois" }, { "@type": "Person", "name": "Hanke, Georg" }, { "@type": "Person", "name": "Kinsey, Sue" }, { "@type": "Person", "name": "Mattidi, Marco" } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Marine litter", "Marine Strategy Framework Directive (MSFD)", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1508", "name": "Methodology, Processing, and Application Development in Support of Sustainable Development Goal 14.1: Chlorophyll Global Analysis and Metrices", "description": " - Addressing the global nature of marine pollution needs tools to monitor and measure its extent in the ocean. With Sustainable Development Goal (SDG) 14 target 14.1, the United Nations established a charge for countries to \"by 2025, prevent and significantly reduce marine pollution of all kinds, in particular from land-based activities, including marine debris and nutrient pollution\". While In-situ measures of nutrient pollution would provide high-resolution data, not all countries have the capacity to provide this information. To address this gap, GEO Blue Planet, Esri and the UN Environment Programme have developed a GIS software methodology to report on SDG 14.1.1a - Index of Coastal Eutrophication. This collaboration includes the production of statistics for the global indicators for eutrophication so the data can be included in the 2021 SDG Progress report. Additionally, this collaboration is developing application dashboards on satellite-derived chlorophyll-a for countries to assist with the identification of potential eutrophication hot spots. - , - GEO Blue Planet is the coastal and ocean arm of GEO, connecting ocean and coastal information with society. This initiative delivers usable data and information services to support informed decision-making toward reaching Sustainable Development Goal (SDG) 14, which in part is aimed at reducing the impacts of ocean pollution, particularly from land-based activities such as agricultural runoff. This over-enriches coastal waters with nitrogen or phosphorus (a process called eutrophication), which in turn leads to increased growth and biomass of algae, which in turn adversely affects ecosystem balance and water quality. Not all countries have the capacity to map and monitor this kind of \u201cnutrient pollution\u201d in their coastal waters. To address this gap, GEO Blue Planet partnered with a team from Esri, and the United Nations Environment Programme, to develop a new statistical approach and GIS workflow using what data developing nations have, coupled with satellite observations to report on eutrophication in their waters and identify potential eutrophication hot spots. The 2020 GEO Sustainable Development Goals (SDGs) Awards Program, led by the Earth Observation for SDG (EO4SDG) initiative, recognized this collaboration with a Special Category award for its productivity and novelty of results in support of SDG indicator 14.1.1 on coastal eutrophication. Initial results, workflows, dashboards, and other products are at chlorophyll-esrioceans.hub.arcgis.com. This partnership\u2019s methodology is now also included in the UN\u2019s Global Manual for Ocean Statistics (UN Environment, 2020, Global Manual on Ocean Statistics, Towards a definition of indicator methodologies, Nairobi, Kenya, UN Environment, 42 pp., https:\/\/geoblueplanet.org\/wp-content\/uploads\/2020\/01\/Global_Manual_Ocean_Statistics_New.pdf). Thus, it can also be applied in other environments where it is needed and modified to work on many geographic scales. See a video at https:\/\/youtu.be\/K0fir9T95cw . - , - 14.1.1 - , - Phytoplankton biomass and diversity - , - Nutrients - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1508", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1508", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1508", "url": "https:\/\/hdl.handle.net\/11329\/1508" }, "author": [ { "@type": "Person", "name": "Smail, Emily" }, { "@type": "Person", "name": "VanGraafeiland, Keith" }, { "@type": "Person", "name": "Ghafari, Dany" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Pigments", "Parameter Discipline::Environment::Anthropogenic contamination", "Data Management Practices::Data analysis", "Data Management Practices::Data delivery", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2148", "name": "Quantifying observational errors in Biogeochemical\u2010Argo oxygen, nitrate, and chlorophyll a concentrations.", "description": " - Biogeochemical (BGC)\u2010Argo floats observations are becoming a major data source for assimilation into and constraining of ocean biogeochemical models. An important prerequisite for a successful synthesis between models and observations is the characterization of the observational errors in BGC\u2010Argo float data. The root\u2010mean\u2010square error and multiplicative and additive biases in quality\u2010controlled data sets of oxygen, nitrate, and chlorophyll a concentrations collected with 17 BGC\u2010Argo floats in the Mediterranean Sea between 2013 and 2017 are assessed using the triple collocation analysis. The analysis suggests that BGC\u2010Argo float oxygen, nitrate and chlorophyll a concentrations data have an additive bias of 2.9 \u00b1 5.5 \u03bcmol\/kg, 0.46 \u00b1 0.07 \u03bcmol\/kg, and \u22120.06 \u00b1 0.02 mg\/m3, respectively. The root\u2010mean\u2010square error is evaluated at 5.1 \u00b1 0.8 \u03bcmol\/kg, 0.25 \u00b1 0.07 \u03bcmol\/kg, and 0.03 \u00b1 0.01 mg\/m3. Additional studies should determine whether these values are applicable to the global ocean. Plain Language Summary The Biogeochemical\u2010Argo program is a network of ocean robots whose sensors monitor oxygen, nitrate, and chlorophyll a concentrations, information that is needed to detect decadal changes in biological carbon production, ocean acidification, ocean carbon uptake, and hypoxia in the world ocean. One of the goals of the Biogeochemical\u2010Argo program is to incorporate these observations into ocean models to understand and forecast the changing state of the carbon cycle. The successful integration of the float data into numerical models, however, requires the specification of the observational errors. This study provides, for the first time, the biases and errors of the three cores variables of the Biogeochemical\u2010Argo floats network: oxygen, nitrate, and chlorophyll a concentrations. - , - https:\/\/agupubs.onlinelibrary.wiley.com\/journal\/19448007 - all articles are open access in GRL as of 1 Jan 2023. - , - Refereed - , - 14.a - , - Oxygen - , - Nutrients - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2148", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2148", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2148", "url": "https:\/\/hdl.handle.net\/11329\/2148" }, "author": [ { "@type": "Person", "name": "Mignot, A." }, { "@type": "Person", "name": "D'Ortenzio, F." }, { "@type": "Person", "name": "Taillandier, V." }, { "@type": "Person", "name": "Cossarini, G." }, { "@type": "Person", "name": "Salon, S." } ], "keywords": [ "Chlorophyll a", "BGC-Argo", "ARGO floats", "Nutrients", "Biological and biogeochemical models", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1122", "name": "Symbology Encoding Implementation Specification. Version 1.1.0. (revision 4).", "description": " - The OpenGIS\u00ae Symbology Encoding Standard (SES) defines an XML language for styling information that can be applied to digital geographic feature and coverage data. SE is independent of any OGC Web Services descriptions and could therefore be used to describe styling information in non-networked systems such as desktop geographic information systems. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1122", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1122", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1122", "url": "https:\/\/hdl.handle.net\/11329\/1122" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Specification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/273", "name": "Metadata standards directory.", "description": " - The Research Data Alliance Metadata Standards Directory Working Group set out to develop a directory that would enable researchers, and those who support them, to discover metadata standards that would be appropriate for documenting their research data, regardless of their academic discipline. It happened that a directory with similar aims had recently been developed independently by the UK Digital Curation Centre (DCC), so the group collaborated with the DCC on developing the directory further to achieve additional goals regarding coverage, ease of maintenance, and sustainability. The group provided updates and additions to the entries in the DCC directory, and developed a second instance of the directory that could be maintained by the community. Additions and updates to the second instance were and are fed back to the DCC version. The second instance was designed in such a way as to simplify any future development e ort, and indeed such development is being taken forward by the Metadata Standards Catalog Working Group. As well as developing the directory itself, the group also collected use cases that will inform the work of the Metadata Standards Catalog Working Group, the Data in Context Interest Group, and the Metadata Interest Group. - , - Metadata Directory is maintained by Sean Chen, Kate Anne Alderete, and Alex Ball. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/273", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/273", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/273", "url": "https:\/\/hdl.handle.net\/11329\/273" }, "keywords": [ "Metadata standards", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere", "Parameter Discipline::Marine geology", "Parameter Discipline::Environment", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2523.3", "name": "ASTM E1200-24. Standard Practice For Preserving Zooplankton Samples.", "description": " - 1.1 This practice describes the proper procedures for preserving zooplankton samples with either formaldehyde, ethanol, glutaraldehyde, Lugol\u2019s iodine solution, or vinegar (acetic acid). 1.2 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard. - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2523.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2523.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2523.3", "url": "https:\/\/hdl.handle.net\/11329\/2523.3" }, "contributor": [ { "@type": "Organization", "name": "ASTM International" } ], "keywords": [ "Sample preservation", "Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1335", "name": "Patterns of suspended and salp-ingested microplastic debris in the North Pacific investigated with epifluorescence microscopy.", "description": " - Microplastics (< 5 mm) have long been a concern in marine debris research, but quantifying the smallest microplastics (< 333 \u03bcm) has been hampered by appropriate collection methods, like net tows. We modified standard epifluorescence microscopy methods to develop a new technique to enumerate < 333 \u03bcm microplastics (minimicroplastics) from filtered surface seawater samples and salp stomach contents. This permitted us to distinguish mini-microplastics from phytoplankton and suspended particles. We found seawater mini-microplastic concentrations that were 5\u20137 orders of magnitude higher than published concentrations of > 333 \u03bcm microplastics. Mini-microplastics were the most abundant in nearshore waters and more evenly distributed from the California Current through the North Pacific Subtropical Gyre. Every salp examined had ingested mini-microplastics, regardless of species, life history stage, or oceanic region. Salps ingested significantly smaller plastic particles than were available in ambient surface seawater. The blastozooid stage of salps had higher ingestion rates than oozooids. - , - Refereed - , - 14.1 - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1335", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1335", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1335", "url": "https:\/\/hdl.handle.net\/11329\/1335" }, "author": [ { "@type": "Person", "name": "Brandon, Jennifer A." }, { "@type": "Person", "name": "Freibott, Alexandra" }, { "@type": "Person", "name": "Sala, Linsey M." } ], "keywords": [ "Microplastics", "Plastics", "Plastic litter", "Plastic debris", "Marine plastics", "Mini microplastics", "Epifluorescence microscopy", "Parameter Discipline::Environment::Anthropogenic contamination", "Instrument Type Vocabulary::fluorescence microscopes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1304", "name": "The JANUS Underwater Communications Standard.", "description": " - There are currently no digital underwater communications standards. In this paper we describe JANUS, a simple multiple-access acoustic protocol designed and tested by the NATO Centre for Maritime Research and Experimentation (CMRE) over the past 6 years that provides a basic and robust tool for collaborative underwater communications. JANUS is in process to become a NATO standard but is not intended to be solely military nor only for NATO, but also for civil and international adoption. JANUS is unique in its open and public nature such that academia, industry and governments may all benefit from its use. The specification of the signal encoding and message format is fully described so that anyone may construct a transmitter\/receiver to communicate via JANUS to any other compliant platform. While JANUS is deliberately simple to allow easy adoption by legacy equipment, the protocol also offers the freedom to utilize sophisticated receivers and decoders allowing performance to be significantly improved. - , - Published - , - Refereed - , - Current - , - 14 - , - Ocean sound - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1304", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1304", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1304", "url": "https:\/\/hdl.handle.net\/11329\/1304" }, "author": [ { "@type": "Person", "name": "Potter, J." }, { "@type": "Person", "name": "Alves, J." }, { "@type": "Person", "name": "Green, D." }, { "@type": "Person", "name": "Zappa, G." }, { "@type": "Person", "name": "Nissen, I." }, { "@type": "Person", "name": "McCoy, K." } ], "contributor": [ { "@type": "Organization", "name": "IEEE" } ], "keywords": [ "Underwater communication", "Protocols", "Standards", "Interoperability", "JANUS", "NATO", "Parameter Discipline::Physical oceanography::Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1319", "name": "Environmental Decision Support Systems for Monitoring Small Scale Oil Spills: Existing Solutions, Best Practices and Current Challenges.", "description": " - In recent years, large oil spills have received widespread media attention, while small and micro oil spills are usually only acknowledged by the authorities and local citizens who are directly or indirectly affected by these pollution events. However, small oil spills represent the vast majority of oil pollution events. In this paper, multiple oil spill typologies are introduced, and existing frameworks and methods used as best practices for facing them are reviewed and discussed. Specific tools based on information and communication technologies are then presented, considering in particular those which can be used as integrated frameworks for the specific challenges of the environmental monitoring of smaller oil spills. Finally, a prototype case study actually designed and implemented for the management of existing monitoring resources is reported. This case study helps improve the discussion over the actual challenges of early detection and support to the responsible parties and stakeholders in charge of intervention and remediation operations. - , - Refereed - , - In recent years, large oil spills have received widespread media attention, while small and micro oil spills are usually only acknowledged by the authorities and local citizens who are directly or indirectly affected by these pollution events. However, small oil spills represent the vast majority of oil pollution events. In this paper, multiple oil spill typologies are introduced, and existing frameworks and methods used as best practices for facing them are reviewed and discussed. Specific tools based on information and communication technologies are then presented, considering in particular those which can be used as integrated frameworks for the specific challenges of the environmental monitoring of smaller oil spills. Finally, a prototype case study actually designed and implemented for the management of existing monitoring resources is reported. This case study helps improve the discussion over the actual challenges of early detection and support to the responsible parties and stakeholders in charge of intervention and remediation operations. - , - 14.1 - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1319", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1319", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1319", "url": "https:\/\/hdl.handle.net\/11329\/1319" }, "author": [ { "@type": "Person", "name": "Moroni, Davide" }, { "@type": "Person", "name": "Pieri, Gabriele" }, { "@type": "Person", "name": "Tampucci, Marco" } ], "keywords": [ "Marine information systems", "Environmental monitoring", "Decision support systems", "Oil spills", "Oil pollution", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1025", "name": "Specifications for offshore platform engineering geology investigation.", "description": " - Offshore wind farms offer many benefits over traditional energy sources and are expected to contribute significantly to a reduction in climate change in coming years. Many countries have made commitments to reduce their carbon emissions and are therefore planning to expand their current renewable energy sectors. The use of this \u201crenewable\u201d resource to generate electricity, through the development of offshore windfarms, is recognized as one of the key elements in meeting the commitment to reducing greenhouse gases, and is supported by a number of global conservation organizations, including Greenpeace, the World Wide Fund for Nature and Friends of the Earth. The seabed is gentle flat, water depth is shallow and wind resources are abundant in the Yellow sea, which are suitable for construction of wind farm. A total of 50 wind turbines with 4.0 MW single unit capacity and 200 MW total installed capacity are designed and installed in this project. The wind turbines are arranged along the boundary of the wind farm, the spacing between East and West is 470-1850m, and the spacing between North and south is 620-1600 m. A 220 kV offshore booster station is set up to the west of the middle of the wind farm. All the power generated by the wind turbines can be boosted by 220 kV offshore booster station and connected to the landing point of the submarine cable by three 1 x 500 220 kV single core XLPE submarine cables in one circuit. The length of the 220 kV submarine cable route is about 31.8 km. Survey contents include Bathymetric and topographic survey, seabed conditions, shallow geology, soil physical and mechanical properties, corrosive environmental parameters, marine hydrographic and meteorological elements and so on. Equipment and sensors, such as side scan sonar, sub-bottom profiler, multi-channel seismic equipment, magnetometer, sampler and CPT were employed in this survey. This survey finished 1500km geophysical survey lines, 50 stations of drilling, 55 stations of in-situ test, and 12 stations of marine hydrographic observation within 120 days. This work was completed under the guidance of the national standards of the People's Republic of China (GB\/T 17503-2009) \"Specifications for offshore platform engineering geology investigation \". - , - Published - , - Emerging - , - 14.A - , - Concept: A methodology is being developed at one institution(s) but has not been agreed to by the community; requirements and form for a methodology are understood (TRL 1-3) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1025", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1025", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1025", "url": "https:\/\/hdl.handle.net\/11329\/1025" }, "author": [ { "@type": "Person", "name": "Lai, Xianghua" }, { "@type": "Person", "name": "Hu, Taojun" }, { "@type": "Person", "name": "Zhang, Jibo" }, { "@type": "Person", "name": "Song, Xiaobo" }, { "@type": "Person", "name": "Song, Sheng" }, { "@type": "Person", "name": "Ji, Youjun" }, { "@type": "Person", "name": "Li, Dong" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China" } ], "keywords": [ "Geophysical survey", "Engineering geology", "Parameter Discipline::Marine geology::Field geophysics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1464", "name": "A method to extract fishers\u2019 knowledge (FK) to generate evidence for sustainable management of fishing gears.", "description": " - The dangerous effects of Abandoned, Lost or Discarded Fishing Gears (ALDFG) is documented in the literature. However, there exists an overall lack of understanding in quantifying the pollution loads of fishing gears (FG) in territorial waters or on the beaches. The lack of data on FG life cycle results in mismanagement of one of the troublesome resources across the globe. In the remote and data-less situations, local stakeholders\u2019 knowledge remains the only source of information. Therefore, in this article, we propose: A methodology to extract fishers\u2019 knowledge (FK) for generating evidence on FG handling and management practices in Norway. The stepwise approach includes mapping of relevant stakeholders, drafting and finalizing a structured questionnaire using the Delphi method among experts to build the consensus and finally, statistically analyzing the recorded responses from the fishers. The questions are designed to extract both qualitative and quantitative information on purchase, repair, gear loss and disposal rates of commercial FGs. The responses from 114 Norwegian fishers are recorded, analyzed and presented as a part of method validation. The evidence from the survey is then used as an input to coin the regional FG handling and management strategies in Norway. The presented method is proven a robust strategy to retrieve scientific information from the local stakeholders\u2019 and can easily be replicated elsewhere to build global evidence around the ALDFG problematic. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1464", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1464", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1464", "url": "https:\/\/hdl.handle.net\/11329\/1464" }, "author": [ { "@type": "Person", "name": "Deshpandea, Paritosh C." }, { "@type": "Person", "name": "Bratteb\u00f8b, Helge" }, { "@type": "Person", "name": "Feta, Annik Magerholm" } ], "keywords": [ "Fishing gear", "Coastal pollution", "Delphi method", "Fishers knowledge", "Indigenous knowledge", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/892", "name": "Design and Performance Test of an Ocean Turbulent Kinetic Energy Dissipation Rate Measurement Probe.", "description": " - Ocean turbulent kinetic energy dissipation rate is an essential parameter in marine environmental monitoring. Numerous probes have been designed to measure the turbulent kinetic energy dissipation rate in the past, and most of them utilize piezoelectric ceramics as the sensing element. In this paper, an ocean turbulent kinetic energy dissipation rate measurement probe utilizing a microelectromechanical systems (MEMS) piezoresistor as the sensing element has been designed and tested. The triangle cantilever beam and piezoresistive sensor chip are the core components of the designed probe. The triangle cantilever beam acts as a velocity-force signal transfer element, the piezoresistive sensor chip acts as a force-electrical signal transfer element, and the piezoresistive sensor chip is bonded on the triangle cantilever beam. One end of the triangle cantilever beam is a nylon sensing head which contacts with fluid directly, and the other end of it is a printed circuit board which processes the electrical signal. A finite element method has been used to study the effect of the cantilever beam on probe performance. The Taguchi optimization methodology is applied to optimize the structure parameters of the cantilever beam. An orthogonal array, signal-to-noise ratio, and analysis of variance are studied to analyze the effect of these parameters. Through the use of the designed probe, we can acquire the fluid flow velocity, and to obtain the ocean turbulent dissipation rate, an attached signal processing system has been designed. To verify the performance of the designed probe, tests in the laboratory and in the Bohai Sea are designed and implemented. The test results show that the designed probe has a measurement range of 10\u22128\u201310\u22124 W\/kg and a sensitivity of 3.91 \u00d7 10\u22124 (Vms2)\/kg. The power spectrum calculated from the measured velocities shows good agreement with the Nasmyth spectrum. The comparative analysis between the designed probe in this paper and the commonly used PNS probe has also been completed. The designed probe can be a strong candidate in marine environmental monitoring. - , - Refereed - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/892", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/892", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/892", "url": "https:\/\/hdl.handle.net\/11329\/892" }, "author": [ { "@type": "Person", "name": "Tian, B." }, { "@type": "Person", "name": "Li, H." }, { "@type": "Person", "name": "Yang, H." }, { "@type": "Person", "name": "Zhao, Y." }, { "@type": "Person", "name": "Chen, P." }, { "@type": "Person", "name": "Song, D." } ], "keywords": [ "Turbulent kinetic energy dissipation rate", "Microelectromechanical systems (MEMS", "Piezoresistive sensor chip", "Taguchi method", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2396", "name": "Improving data reliability to support marine pollution assessment according to MSFD Descriptor 8 in the European Seas: the contribution of EMODnet Chemistry,", "description": " - Introduction: According to the Marine Strategy Framework Directive (MSFD, 2008\/56\/EC), member states of the European Union (EU) had to develop a common approach in environmental monitoring and assessment. Regarding marine pollution assessments, large heterogeneities remain regarding sampling protocols, analytical methods, and quality assurance (QA) and quality control (QC) procedures. Further, data availability for Descriptor 8 (contaminants) was very fragmented in the first cycle of the MSFD. As one of the major EU spatial data infrastructures for providing access to marine data, EMODnet Chemistry has endeavoured to overcome data fragmentation and increase data \u2018FAIRness\u2019 (findable, accessible, interoperable, and reusable). Methods: Aiming to improve the reliability of marine contaminant data for assessment purposes under the MSFD, detailed QA\/QC information was collected using a questionnaire based on the requirements of the European Environment Agency, International Council for the Exploration of the Sea, United Nations Environment Program\u2013Mediterranean Action Plan, and NORMAN Network. The questionnaire was distributed to institutions in 26 countries participating in EMODnet Chemistry. Results: Information was received from 18 countries on ~90% of the substances included in EU legislation on priority substances. The results indicate an overall good level of laboratory proficiency; however, heterogeneities were observed in sampling protocols (especially for biota) and analytical methods (e.g. for metals), suggesting the potential for increased harmonisation. While laboratory proficiency and equipment depend on institutional resources that may differ among countries, it is fundamental to share detailed QA\/QC information associated with data to improve data reliability and re-usability, and to support marine pollution assessment. Discussion: Enriching data with required metadata and detailed QA\/QC is part of the data curation process, which is still an overlooked aspect of the overall scientific research process and is crucial to support a reliable assessment of marine pollution, and ultimately better management of the marine environment. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2396", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2396", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2396", "url": "https:\/\/hdl.handle.net\/11329\/2396" }, "author": [ { "@type": "Person", "name": "French, Megan Anne" }, { "@type": "Person", "name": "Lipizer, Marina" } ], "keywords": [ "Marine pollution", "Marine Strategy Framework Directive (MSFD)", "Regional Seas Convention", "Chemical oceanography", "Data archival\/stewardship\/curation", "Data aggregation", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/205", "name": "Global temperature and salinity profile programme (GTSPP) - Data user's manual, first edition.", "description": " - The Global Temperature and Salinity Profile Programme (GTSPP) is a joint Intergovernmental Oceanographic Commission (IOC) and World Meteorological Organization (WMO) programme to develop and maintain a global ocean Temperature-Salinity resource with data that are both up-to-date and of the highest quality[2]. The four primary objectives of GTSPP are: a) Provide a timely and complete data and information base of ocean temperature and salinity profile data, b) Implement data flow monitoring system for improving the capture and timeliness of real-time and delayed-mode data, c) Improve and implement agreed and uniform quality control and duplicates management systems, and d) Facilitate the development and provision of a wide variety of useful data analyses, data and information products, and data sets. The international oceanographic community\u201fs interest in creating a timely global ocean temperature and salinity dataset of known quality in support of the World Climate Research Programme (WCRP) dates back to the 1981 \u201cInternational Oceanographic Data and Information Exchange\u201d (IODE) meeting in Hamburg, Federal Republic of Germany. The community's interest led to preliminary discussions by the Australian Oceanographic Data Center (AODC), the Marine Environmental Data Service (MEDS), now the Integrated Science Data Management (ISDM), of Canada and the U.S. National Oceanographic Data Center (NODC) during the second Joint IOC\u2013WMO Meeting of Experts on IGOSS1-IODE Data Flow in Ottawa, Canada in January 1988. Development of the GTSPP (then called the Global Temperature-Salinity Pilot Project) began in 1989. The short-term goal was to respond to the needs of the Tropical Ocean and Global Atmosphere (TOGA) Experiment and the World Ocean Circulation Experiment (WOCE) for temperature and salinity data. The longer-term goal was to develop and implement an end-to-end data management system for temperature and salinity data and other associated types of profiles, which could serve as a model for future oceanographic data management systems. GTSPP began operation in November 1990. The first version of the GTSPP Project Plan was published in the same year. Since that time, there have been many developments and some changes in direction including a decision by IOC and WMO to end the pilot phase and implement GTSPP as a permanent programme in 1996. Figure 1 is a sketch diagramme of the GTSPP management structure. GTSPP reports to the IODE Programme of IOC and the Joint Commission for Oceanography and Marine Meteorology (JCOMM), a body sponsored by WMO and IOC. - , - Supported by IOC for UNESO. - , - Published - , - Global temperature; salinity profile programme - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/205", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/205", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/205", "url": "https:\/\/hdl.handle.net\/11329\/205" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Salinity profiles", "Water temperature data", "Global observing systems", "Salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1554", "name": "A standard protocol for monitoring marine debris using seabird stomach contents: the Fulmar EcoQO approach from the North Sea.", "description": " - The ultimate fate and environmental impact of marine plastic debris is a major policy concern that requires reliable assessments of regional pollution levels and rates of change: such information is critical for efficient decision making and setting the right priorities of measures to be taken. Bio-monitoring can provide such assessments by integrating pollution levels over space and time with an immediate link to ecological impact. It is the ecological impact that generates public awareness of the urgency of the problem and the willingness to accept and support measures to deal with that problem. - , - Published - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1554", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1554", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1554", "url": "https:\/\/hdl.handle.net\/11329\/1554" }, "author": [ { "@type": "Person", "name": "Franeker, Jan A. van" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Marine Debris Division" } ], "keywords": [ "Marine litter", "Marine plastics", "Marine debris", "Seabirds", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2379", "name": "NRMN Database QA\/QC Protocols. Version 1.4", "description": " - This document describes the management and QA\/QC processes for the National Reef Monitoring Network data. The NRMN provides publicly accessible data for shallow reef biodiversity on a global scale, integrating high quality compatible data from long-term scientific monitoring programs and citizen science programs globally. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Fish abundance and distribution - , - Invertebrate abundance and distribution - , - Macroalgal canopy cover and composition - , - Hard coral cover and composition - , - Mature - , - Organisational - , - Multi-organisational - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2379", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2379", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2379", "url": "https:\/\/hdl.handle.net\/11329\/2379" }, "author": [ { "@type": "Person", "name": "Cooper, Antonia" }, { "@type": "Person", "name": "Oh, Elizabeth" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Biological oceanography", "Data quality control", "Data quality management", "Data acquisition", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/536", "name": "Guidelines for the Implementation of Articles 7 and 9 of Annex II to the OSPAR Convention. (Agreement 2012-01).", "description": " - Procedures and criteria for determining and addressing Force Majeure situations as referred to in Article 7 of Annex II of OSPAR Convention \/ Procedures and criteria for determining and addressing emergency situations as referred to in Article 9 of Annex II OSPAR Convention. --- Under Article 7 of Annex II of the OSPAR Convention, Annex II does not apply in case of force majeure, due to stress of weather or any other cause, when the safety of human life or of a vessel or aircraft is threatened. Such dumping is to be conducted so as to minimise the likelihood of damage to human or marine life and must be reported immediately to the OSPAR Commission, together with full details of the circumstances and of the nature and quantities of the wastes or other matter dumped. Where the article applies, it permits the dumping, without a permit, of wastes and other matter which would otherwise be prohibited under Article 3. Article 7 focuses on extremely urgent situations involving vessels or aircraft in, on or over the ocean that have to dump wastes or other matter immediately or almost immediately in order to safeguard human life or the safety of a vessel or aircraft. PROCEDURES AND CRITERIA FOR DETERMINING AND ADDRESSING EMERGENCY SITUATIONS AS REFERRED TO IN ARTICLE 9 OF ANNEX II OF THE OSPAR CONVENTION. Under Article 9 of Annex II of the OSPAR Convention, a Contracting Party may allow the destruction or disposal of wastes or other matter at sea which would otherwise be prohibited under the Annex in emergency situations when the wastes or other matter concerned cannot be disposed of on land without unacceptable danger or damage. However, unlike Article 7, note that Article 9 does not disapply the permit requirements of Article 4. Article 9 does not only cover wastes or other matter arising within the marine environment, but is also relevant to wastes arising on land. When relying on Article 9, Contracting Parties must first consult each other with a view to finding the most satisfactory methods of storage or the most satisfactory means of destruction or disposal in the circumstances. The OSPAR Commission is to be informed of the steps adopted following this consultation. Under the Article, Contracting Parties have pledged to help one another in Article 9 situations. - , - Published - , - Refereed - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/536", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/536", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/536", "url": "https:\/\/hdl.handle.net\/11329\/536" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Waste disposal", "Dumping", "Pollution", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/488", "name": "Argo Quality Control Manual for dissolved oxygen concentration, Version 1.1. 28th September 2016. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-118]", "description": " - This document is the Argo quality control manual for Dissolved oxygen concentration. It describes two levels of quality control: \u2022 The first level is the real-time system that performs a set of agreed automatic checks. \u2022 Adjustment in real-time can also be performed and the real-time system can evaluate quality flags for adjusted fields \u2022 The second level is the delayed-mode quality control system. - , - Published - , - Refereed - , - Current - , - Superseded - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/488", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/488", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/488", "url": "https:\/\/hdl.handle.net\/11329\/488" }, "author": [ { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Bittig, Henry" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo-BGC Group" } ], "keywords": [ "Oxygen sensors", "Dissolved oxygen", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2116", "name": "Handbook for interpreting types of marine habitat for the selection of sites to be included in the national inventories of natural sites of conservation interest.", "description": " - The Protocol concerning specially protected areas and biological diversity in the Mediterranean and the Action Plan for the protection of the marine environment and the sustainable development of Mediterranean coastal areas (MAP Phase II), adopted by the Contracting Parties to the Barcelona Convention in 1995, contain arrangements for preparing inventories at national and regional level. In this context, at their Tenth Ordinary Meeting (Tunis, 18-21 November 1997), the Contracting Parties to the Convention for the protection of the Mediterranean Sea against pollution adopted common criteria to establish national inventories of natural sites of conservation interest. During that Meeting, the Regional Activity Centre for Specially Protected Areas (RAC\/SPA) was invited to work on elaborating these tools, including a Standard Data Form (SDF) to compile information concerning the sites included in the national inventories of sites of conservation interest. This form is intended to help in decision-making on the management and, if need be, protection of the site described, and to provide a tool for long-term monitoring. At the Fourth Meeting of National Focal Points for Specially Protected Areas (Tunis, 12-14 April 1999), RAC\/SPA elaborated a reference list of types of habitat and a reference list of species for selecting the sites to be included in the national inventories, and a draft Standard Data Form whose general framework was adopted at the Eleventh Ordinary Meeting of the Contracting Parties (Malta, 27-30 October 1999). The draft Standard Data Form for the national inventories of natural sites of conservation interest was finalized in March 2000 in Rome at a Meeting of Experts. However, this tool should be regularly incremented to make it is efficient as possible. From the technical point of view, the SDF is an adaptation of tools developed in the context of the European Union\u2019s and European Council\u2019s NATURA 2000 and EMERAUDE network of sites to the specific features of the Mediterranean. This specificity ensures compatibility, as far as is possible, and thus facilitates the sharing of data and information, with database systems established as part of these initiatives. In accordance with the overall aims of the inventories, the SDF was designed with a double objective: - to give help in decision-making concerning the management and, if need be, protection of the site described - to provide a tool for the long-term monitoring of the site. From this angle, the Tunis Regional Activity Centre for Specially Protected Areas initiated the production of this handbook for interpreting the marine habitats that appear on the list of habitats that is appended to the Standard Data Form. The aim was to provide countries with a tool to help them identify and assess these marine habitats. This handbook must satisfy a triple requirement: -- scientific rigour -- readability for non-specialists -- compatibility with existing classification systems (EUR 15 European Union Habitat Directive, CORINE). To this end, the document has been subdivided into two levels: - detailed \u2018habitats\/biocenoses\u2019 sheets to allow a general description - more specific \u2018facies\/associations\u2019 sheets. Indeed, it appears to be difficult to fully describe a facies or an association without having first set them within their biocenosis. Similarly, this method of compilation avoids repetition where several facies belong to the same biocenosis. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2116", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2116", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2116", "url": "https:\/\/hdl.handle.net\/11329\/2116" }, "author": [ { "@type": "Person", "name": "Bellan-Santin, D." }, { "@type": "Person", "name": "Bellan, G." }, { "@type": "Person", "name": "Bitar, G.." }, { "@type": "Person", "name": "Harmelin, J.G." }, { "@type": "Person", "name": "Pergent, G." } ], "contributor": [ { "@type": "Organization", "name": "United Nations Environment Programme, Mediterranean Action Plan, Regional Activity Centre for Specially Protected Areas (UNEP\/MAP-RAC\/SPA). [MedKey Habitats]" } ], "keywords": [ "Typology", "Habitats", "Benthic environment", "Barcelona Convention", "Standard data form", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1570", "name": "Assegnazione di Zone Marine per l'Acquacoltura (AZA). Guida Tecnica.", "description": " - This Technical Guide, drafted by ISPRA for the General direction of fisheries and aquaculture of the Ministry of Agriculture, is a practical tool to facilitate the understanding of the processes for the identification and allocation of marine areas to aquaculture as well as to facilitate the identification and selection of new sites taking into account existing constraints, multiple pressures, maritime uses, the state of the marine environment and the carrying capacity of marine ecosystems. It provides advanced knowledge and tools to Regions and coastal municipalities to support the decision-making process for planning new zones for aquaculture development and to integrate Allocated Zones for Aquaculture (AZAs) in the Maritime Spatial Plans, according to the principles of the FAO Ecosystem Approach to Aquaculture (EAA). The AZAs are considered an essential tool for the sustainable development of aquaculture, in a perspective of blue growth and green transition towards climate-neutral, healthy and environmentally friendly food systems. The publication is the result of a long participatory process, with the involvement and consultation of Italian regional and national administrations, producer associations, aquaculture operators, scientific community, environmental agencies and experimental zooprophylactic institutes. ISPRA is grateful to all the involved stakeholders for their contributions and active cooperation. - , - Published - , - Refereed - , - La Guida Tecnica AZA \u00e8 organizzata in cinque capitoli e sei allegati tecnici. In sintesi riporta su: 1. l\u2019importanza dell\u2019acquacoltura come settore di produzione agroalimentare in grado di fornire alimenti sani, salubri e con bassa impronta ambientale 2. come sviluppare l\u2019acquacoltura nell\u2019ambito della pianificazione dello spazio marittimo, secondo un approccio ecosistemico 3. il percorso metodologico per individuare le zone marine da assegnare prioritariamente per lo sviluppo di attivit\u00e0 di piscicoltura e molluschicoltura (AZA) 4. come scegliere i siti vocati nelle AZA, valutare l\u2019impatto ambientale e gli adempimenti amministrativi per il rilascio delle concessioni demaniali marittime 5. i programmi di monitoraggio da adottare nelle aree marine in concessione, per ridurre i rischi ambientali e sanitari e gli impatti cumulativi, secondo un approccio adattativo - , - Current - , - 14.4 - , - 14.7 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1570", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1570", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1570", "url": "https:\/\/hdl.handle.net\/11329\/1570" }, "author": [ { "@type": "Person", "name": "Marino, G." }, { "@type": "Person", "name": "Petochi, T." }, { "@type": "Person", "name": "Cardia, F." } ], "contributor": [ { "@type": "Organization", "name": "ISPRA" } ], "keywords": [ "Aquaculture", "Marine spatial planning", "Blue growth", "Blue economy" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1114", "name": "OGC TimeseriesML 1.2 - XML Encoding of the Timeseries Profile of Observations and Measurements. Version 1.2.", "description": " - TimeseriesML 1.2 defines an XML encoding that implements the OGC Timeseries Profile of Observations and Measurements, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of data exchange requirements. - , - Published - , - This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1114", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1114", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1114", "url": "https:\/\/hdl.handle.net\/11329\/1114" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "XML encoding", "Timeseries profiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/861", "name": "SeaDataNet NetCDF format definition. Version 1.21.", "description": " - The CF metadata conventions (https:\/\/cf-trac.llnl.gov\/trac) are designed to promote the processing and sharing of files created with the NetCDF API. The conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The standard is both mature and well-supported by formal governance for its further development. The standard is fully documented by a PDF manual accessible from a link from the CF metadata homepage (https:\/\/cf-trac.llnl.gov\/trac). Note that CF is a developing standard and consequently access via the homepage rather than through a direct URL to the document is recommended to ensure that the latest version is obtained. The current version of this document was prepared using version 1.6 of the conventions dated 5 December 2011. - , - Published - , - This document specifies the data file format in used for data exchange in SeaDataNet. It describes the SeaDataNet CFPOINT (CF NetCDF) 1.0 format. Created from D8.5 SeaDataNet 2 deliverable cited as: Lowry Roy, Fichaut Michele, Schlitzer Reiner, Maudire Gilbert, Bregent Sophie (2018). SeaDataNet. Datafile formats. ODV, MEDATLAS, NETCDF. DELIVERABLE D8.5. https:\/\/doi.org\/10.13155\/56547 - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/861", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/861", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/861", "url": "https:\/\/hdl.handle.net\/11329\/861" }, "author": [ { "@type": "Person", "name": "Lowry, Roy" }, { "@type": "Person", "name": "Fichaut, Michele" }, { "@type": "Person", "name": "Br\u00e9gent, Sophie" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data format development", "Data Management Practices::Data exchange", "Data Management Practices::Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2275", "name": "A Bayesian Logistic Regression for Probabilistic Forecasts of the Minimum September Arctic Sea Ice Cover.", "description": " - This study introduces a Bayesian logistic regression framework that is capable of providing skillful probabilistic forecasts of Arctic sea ice cover, along with quantifying the attendant uncertainties. The presence or absence of ice (absence defined as ice concentration below 15%) is modeled using a categorical regression model, with atmospheric, oceanic, and sea ice covariates at 1- to 7-month lead times. The model parameters are estimated in a Bayesian framework, thus enabling the posterior predictive probabilities of the minimum sea ice cover and parametric uncertainty quantification. The model is fitted and validated to September minimum sea ice cover data from 1980 through 2018. Results show overall skillful forecasts of the minimum sea ice cover at all lead times, with higher skills at shorter lead times, along with a direct measure of forecast uncertainty to aide in assessing the reliability. Plain Language Summary Every summer, sea ice in the Arctic undergoes melt and retreat, allowing access to otherwise difficult to reach areas. This has sparked growing interest in short- and longterm forecasting of summer sea ice to assist in planning and preparation of logistically intensive Arctic expeditions. Currently, forecasts more than 3 months in advance tend to be less skillful than forecasts made less than 3 months in advance. This study presents a novel approach to seasonal probabilistic forecasts of the minimum September sea ice cover through regression analysis, relating minimum summer sea ice to winter and spring sea ice, atmospheric, and oceanic conditions. We use skill scores to evaluate how well our forecasts perform in a variety of circumstances. We find that this method is able to skillfully predict up to 7 months early the probability that sea ice will be present across the entire Arctic Ocean at the summer minimum. This means that stakeholders interested in access to the Arctic Ocean during summer can have reliable long-term forecasts to aide in planning and preparation. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Special Sensor Microwave Imager\/Sounder (SSMIS) - , - Combined Nimbus Scanning Multichannel Microwave Radiometer (SMMR, 1979\u20131987) - , - DMSP Special Sensor Microwave\/Imager (SSM\/I, 1987\u20132007) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2275", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2275", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2275", "url": "https:\/\/hdl.handle.net\/11329\/2275" }, "author": [ { "@type": "Person", "name": "Horvath, Sean" }, { "@type": "Person", "name": "Stroeve, Julienne" }, { "@type": "Person", "name": "Rajagopalan, Balaji" }, { "@type": "Person", "name": "Kleiber, William" } ], "keywords": [ "Sea Ice Prediction Network (SIPN)", "Seasonal forecasting", "Regression analysis", "Downwelling longwave radiation", "Downwelling shortwave radiation", "Sea level pressure", "Sea ice cover", "Meteorology", "radiometers", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/653", "name": "Evaluation of Dredged Material Proposed for Ocean Disposal. Testing manual.", "description": " - This manual, commonly referred to as the \"Green Book,\" is an update of Ecological Evaluation of Proposed Discharge of Dredged Material into Ocean Waters (EPA\/USACE, 1977). The manual contains technical guidance for determining the suitability of dredged material for ocean disposal through chemical, physical, and biological evaluations. The technical guidance is intended for use by dredging applicants, laboratory scientists, and regulators in evaluating dredged-material compliance with the United States Ocean Dumping Regulations. Integral to the manual is a tiered-testing procedure for evaluating compliance with the limiting permissible concentration (LPC) as defined by the ocean-dumping regulations. The procedure comprises four levels (tiers) of increasing investigative intensity that generate information to assist in making ocean-disposal decisions. Tiers I and II utilize existing or easily acquired information and apply relatively inexpensive and rapid tests to predict environmental effects. Tiers III and IV contain biological evaluations that are more intensive and require field sampling, laboratory testing, and rigorous data analysis. This manual provides National technical guidance for use in making LPC compliance determinations for proposed discharges of dredged material; it does not provide comprehensive guidance on other factors that should be considered during the sediment-evaluation process. Decision-making, involving the evaluation of regulations and local policies, site conditions, and project-specific management actions to limit environmental impacts, is addressed in other Environmental Protection Agency (EPA)\/United States Army Corps of Engineers (USACE) guidance manuals. - , - Published - , - Refereed - , - Current - , - Current - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/653", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/653", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/653", "url": "https:\/\/hdl.handle.net\/11329\/653" }, "contributor": [ { "@type": "Organization", "name": "U.S. Environmental Protection Agency" } ], "keywords": [ "Dredge disposal", "Parameter Discipline::Marine geology::Rock and sediment chemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/491", "name": "Processing BGC-Argo CDOM concentration at the DAC level. Version 1.0. October 10th 2017.", "description": " - In the open ocean, Colored Dissolved Organic Matter (CDOM) is the fraction of the total Dissolved Organic Matter (DOM), composed by a mixture of chemically complex algal degradation products that interact with light. CDOM absorbs solar radiation in the UV and visible ranges (Bricaud et al., 1981) and, if illuminated, re-emits light as fluorescence (i.e., FDOM; Coble 1996). These optical measurements can be used as proxies of CDOM concentration. Whereas CDOM absorption measurements are given by the entire pool of the organic matter, FDOM measurements detect only sub-fractions. Depending on excitation and emission wavelengths of the fluorometer, FDOM can represent the fresh-material produced by microbial degradation of phytoplankton cells and\/or from zooplanktonic excretion, or aged humic substances (Stedmon and Nelson, 2015; Nelson and Gauglitz, 2016). Whereas CDOM absorption measurements require laboratory facilities, FDOM detection can be easily implemented on autonomous Biogeochemical-Argo profiling floats. Though being only a small part of the DOM, CDOM (and FDOM) plays an important role in the ocean carbon cycle (Mopper and Kieber, 2002). Its distribution varies from the surface to the ocean interior and across world\u2019s oceanic regions (Nelson and Siegel, 2013). It can indicate presence of bacterial (Organelli et al., 2014) and zooplankton (Steinberg et al., 2004) activities, planktonic food-web interactions (Xing et al., 2014), or accumulate below the thermocline depending on water mass ventilation ages (Nelson et al., 2010). Relation between consumed oxygen and CDOM optical proxies is a consequence of this accumulation, and it can be linked to remineralization processes of marine organic particles in the deep ocean (Nelson et al., 2010; Nelson and Siegel, 2013). Knowledge of CDOM (and FDOM) spatio-temporal variability is also important for remote sensing applications as it can confound standard algorithms used for the retrieval of biogeochemical and bio-optical products from space (Organelli et al., 2016; Organelli et al., 2017). FDOM sensors currently installed on BGC-Argo floats have excitation\/emission wavelengths of 370 and 460 nm, respectively. Thus, FDOM measurements correspond to more aged refractory organic material (Nelson and Gauglitz, 2016). Hereafter, we refer to FDOM measurements as CDOM. At the moment all fluorescence sensors implemented on floats are developed by the WET labs Company and are of the ECO serie. These CDOM fluorometers are not standalone sensors and combine the CDOM measurements together two measurements (ECO triplet) which generally are Chlorophyll-A fluorescence and backscattering at 700 nm. The present document is focused on the management of the CDOM fluorescence data flow acquired by those sensors (section 3). As soon as others sensors are implemented and successfully tested on floats, the present document would be accordingly updated. - , - Published - , - Refereed - , - Current - , - Dissolved Organic Carbon - , - Particulate matter - , - Nutrients - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/491", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/491", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/491", "url": "https:\/\/hdl.handle.net\/11329\/491" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Organelli, Emanuele" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Colored Dissolved Organic Matter", "Dissolved organic matter", "Bio-Argo", "CDOM", "FDOM", "Parameter Discipline::Marine geology::Suspended particulate material", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1780", "name": "Rights, Resilience, and Community-Led Relocation: Perspectives from Fifteen Alaska Native Communities.", "description": " - The Alaska Institute for Justice (AIJ) is a nonprofit organization dedicated to protecting the human rights of Alaskans. AIJ\u2019s goal is to work with Alaska Native communities and Tribal, State and Federal government agencies to design and implement a community-led relocation process based in human rights. - , - Published - , - Current - , - N\/A - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1780", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1780", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1780", "url": "https:\/\/hdl.handle.net\/11329\/1780" }, "author": [ { "@type": "Person", "name": "Bronen, Robin" }, { "@type": "Person", "name": "Pollock, Denise" } ], "contributor": [ { "@type": "Organization", "name": "Alaska Institute for Justice" } ], "keywords": [ "Climate change effects" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2477", "name": "JCDP Data Collection Guidance: Collecting JCDP Compliant Cetacean Survey Data (version 1).", "description": " - Mobile marine species, including cetaceans, offer a considerable challenge when attempting to assesses abundance and distribution. Cetaceans can be cryptic and visual survey methods must take into account the limited opportunities for sightings, i.e. when the animal surfaces to breathe. There are several well establish approaches and methods used to for gathering data and monitoring cetacean populations using visual sightings such as transect sampling, photo identification and records of live and dead animals. These methods can be costly in terms of the resources needed to run effective field surveys, but offer a wealth of valuable data which underpins population abundance estimates and distribution patterns (Reid, Evans and Northridge, 2003; Waggitt et al., 2020; Hammond et al., 2021). However, there are additional methods developed and used for collecting data on cetacean populations, including acoustic monitoring with mobile or static devices, recording and sampling from strandings or biopsies from live animals, remote monitoring using satellite imagery or telemetry tracking using specialised tags. These methods are outside of the scope of this report and the JCDP. The JCDP currently focuses on data collected following transect methodologies based on either vessel or aerial platforms, and these methods are the focus of this document. Transect methods are based on the principle of traveling along set transects within a study area to count all individuals of a population encountered along the transects, then the total population can be calculated, for example using Distance modelling approaches (Miller, 2021) - , - The Joint Cetacean Data Programme was developed between 2019 and 2022, funded by the Department of Environment, Food and Rural Affairs (Defra). The project was managed by JNCC with development and hosting of the Data Portal by ICES. Contributors - , - Published - , - Refereed - , - Current - , - 14.a - , - 14.5 - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2477", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2477", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2477", "url": "https:\/\/hdl.handle.net\/11329\/2477" }, "contributor": [ { "@type": "Organization", "name": "Joint Nature Conservation Committee" } ], "keywords": [ "Cetacean survey method", "Abundance", "Birds, mammals and reptiles", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/790", "name": "Protocols for Verifying the Performance of In Situ Turbidity Sensor.", "description": " - As part of our service to the coastal community, ACT Partner Institutions and Stakeholder Council have chosen the performance verification of commercially available, in situ turbidity sensors as the third ACT Technology Evaluation.Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of light attenuation due to suspended material. However, turbidity is often not a direct measure of the quantity of interest, such as suspended sediment, living particles, and non-living organic matter , but rather a measure of the effect of the desired quantity on the optical properties of the water. At present, there are numerous methods for quantifying turbidity (e.g., light attenuation, surface scatter, side scatter, laser diffraction, acoustic back-scatter, etc.). Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies (e.g., USGS, US EPA, ISO, ASTM, etc.) to define turbidity in very specific terms based on optical methods of measurement, since optically-based appr oaches have been the most conventionally used. Although such standards and definitions were created to be both technically and legally specific ACT Turbidity Protocols PV06-01 5\/3\/062 (thereby minimizing the ambiguity in interpreting what turbidity is and how it is measured), they still suffer from fundamental deficiencies in their ability create an absolute standard between different natural water types and different instrument designs employing the exact same principles of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as at least a relative measure of water clarity. This ACT Technology Evaluation will examine individual sensor performance both in the laboratory and across different field conditions. We will focus specifically on commonly used back- and side- scattering optical instruments that provide values for turbidity in Nephelometric Turbidity Units (NTU). This unit of measurement pertains to a specific concentration of a given standard medium. . - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/790", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/790", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/790", "url": "https:\/\/hdl.handle.net\/11329\/790" }, "author": [ { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/710", "name": "Primary production: Guidlines for measurement by 14C incorporation.", "description": " - In the years intervening between the preparation and publication of this do- cument, at least two other manuals for use in making primary production de- terminations have been introduced (Nielsen and Bresta, 1984; O'Reilly and Thomas, 1983). The emphasis in these three manuals is different enough to warrant their coexistence in the scientific literature. However, the actual methods outlined in these manuals do differ considerably on some points. Most workers concerned with primary production determinations will find more than one of these manuals coming to rest on their bookshelves. Thus, the flurry of activity in recent years aimed at clarifying and standardizing methods of making primary production estimates may, in some cases, have actually had the opposite effect. While some workers may lament the lack of emergence of a \"cookbook' recipe for making primary production measurements, the lack of such a recipe can also be interpreted as a positive step towards the goal of producing more reliable measurements of photosynthesis in aquatic environments. Owing to the different facilities available, the precise de- tails of the primary production measurements made will always differ from laboratory to laboratory. To ensure that reliable results are produced, those responsible for designing the procedures employed by different groups must have a thorough understanding of the processes being measured and an appreciation of the limitations of the method being used. Furthermore, in order to enhance the comparability between results collected by different workers, a number of routine controls must be observed and specific information supp- lied when reporting results. The purpose of this manual is to provide a reference for workers designing programmes incorporating primary production measurements to aid them in producing results which can be used not only in their own research\/monitoring programmes but also in the compilation of a database suited to describing the temporal and spatial distribution of primary production in the ICES area. In places where this manual refers to methods or procedures that have been more thoroughly described in another primary production manual, I have taken the editorial liberty of adding references. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Transient tracers - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/710", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/710", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/710", "url": "https:\/\/hdl.handle.net\/11329\/710" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1918", "name": "European Marine Omics Biodiversity Observation Network (EMO BON) \u2013 Data Management Plan.", "description": " - In 2021 The European Marine Biological Resource Centre European Research Infrastructure Consortium (EMBRC-ERIC, hereinafter referred as EMBRC) launched the European Marine Omics Biodiversity Observation Network (EMO BON) which aims to be the first long-term marine genomic observatory on a European scale. EMO BON is a biological observatory network built on robust methodologies that produces quality-controlled genomic data following high standards. EMO BON focuses on producing and providing access to long-term baseline genomic biodiversity data and supporting the monitoring of Essential Ocean and Biodiversity Variables (EOVs and EBVs) and ecosystem research. The project data, metadata, and their life cycle are described in this current document: the Data Management Plan (DMP). The DMP is a living document that will be updated continuously during the pilot period when the project is re-evaluated by the EMBRC General Assembly (GA) and the EMO BON Operational Commitee. - , - Published - , - Non Refereed - , - Current - , - 13 - , - 14 - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Mature - , - Novel (no adoption outside originators) - , - Multi-organisational - , - International - , - Genetic diversity - , - Species abundances - , - Species distributions - , - Taxonomic\/phylogenetic diversity - , - Sea surface salinity - , - Sea surface temperature - , - Subsurface salinity - , - Subsurface temperature - , - Plankton - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1918", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1918", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1918", "url": "https:\/\/hdl.handle.net\/11329\/1918" }, "author": [ { "@type": "Person", "name": "Santi, Ioulia" }, { "@type": "Person", "name": "Cancio, Ibon" }, { "@type": "Person", "name": "Corre, erwan" }, { "@type": "Person", "name": "Cox, Cymon" }, { "@type": "Person", "name": "Exter, Katrina" }, { "@type": "Person", "name": "Hoebeke, Mark" }, { "@type": "Person", "name": "Kervella, Anne Emmanuelle" }, { "@type": "Person", "name": "Laroquette, Arnaud" }, { "@type": "Person", "name": "Pavloudi, Christina" }, { "@type": "Person", "name": "Portier, Marc" }, { "@type": "Person", "name": "Pade, Nicolas" } ], "contributor": [ { "@type": "Organization", "name": "EMBRC-ERIC" } ], "keywords": [ "Data Management Plan", "Biological oceanography", "Environment", "Data acquisition", "Data aggregation", "Data archival\/stewardship\/curation", "Data citation", "Data management planning and strategy development", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/872", "name": "IOCCP-JAMSTEC 2015 Inter-Laboratory Calibration Exercise of a Certified Reference Material for Nutrients in Seawater. Version 1.2.", "description": " - The objective of this inter-laboratory calibration exercise is to evaluate and improve comparability of global nutrients data in the world ocean. IOCCP and JAMSTEC co-organized an inter-laboratory calibration exercise of nutrients in seawater using four lots of recently certified RM produced by KANSO and three CRMs provided by National Metrology Institute of Japan which are certified in Marine 2014. 71 laboratories in 28 countries had replied to the call for participants. Results were returned from 59 laboratories. Korean Institute of Ocean Science and Technology, KIOST, also offered to provide their recently developed RMs to this I\/C exercise. The Royal Netherlands Institute for Sea Research, NIOZ, also offers to provide silicate stock solution to contribute to the overall assessment of results regarding with this I\/C exercise. Mean, median and standard deviation were calculated, robust mean and standard deviation were also calculated. Successive t-tests at the 95% confidence level were applied to the results before estimating the consensus mean, consensus median, and consensus standard deviation. Z-scores were also calculated to evaluate the performance of laboratories as in the previous inter-comparison studies. The ranked concentration plots for a particular nutrient would be proportional and roughly parallel to each other for samples with different nutrient concentrations if each laboratory appropriately compensated for the non-linearity of the calibration curves. However there are non-proportional results from some laboratories for all of the determinants as well as observed in the previous I\/C studies. These results indicate that non-linearity of the calibration curves for nutrient analysis is one of significant sources of less comparability of nutrients data. This implies that we need to use a set of CRM of which nutrients concentrations can cover whole range of measurements of nutrients concentration to keep comparability of whole range of nutrients concentration in the world ocean. It is clear that present comparability among the participants in 2015 I\/C exercise is quite similar with previously obtained comparability in 2012 I\/C study and previous I\/C studies. Consensus standard deviations of all determinands are one order of magnitude large rather than homogeneity of the CRMs distributed and consensus standard deviations are about double of reported precision of measurements of the laboratories. Therefore these I\/C results show that use of CRM will be able to greatly improve comparability of nutrient data among the laboratories of the world. There are good signal in the results that although consensus standard deviations are relatively large, consensus median\/mean of each samples showed good agreement with certified values of the samples within consensus SDs. This implies that majority of the participating laboratories have good capability to measure nutrients concentration in seawater and using CRM will increase more on the comparability and could be their results to be SI traceable quickly. - , - Published - , - Contributing authors:Aoyama M, Abad M, Anstey C, Ashraf P M, Bakir A, Becker S, Bell S, Berdalet E, Blum M, Briggs R, Caradec F, Cariou T, Church M, Coppola L, Crump M, Curless S, Dai M, Daniel A, Davis C, de Santis Braga E, Solis ME, Ekern L, Faber D, Fraser T, Gundersen K, Jacobsen S, Knockaert M, Komada T, Kralj M, Kramer R, Kress N, Lainela S, Ledesma J, Li X, Lim J-H, Lohmann M, L\u00f8nborg C, Ludwichowski K-U, Mahaffey C, Malien F, Margiotta F, McCormack T, Murillo I, Naik H, Nausch G, \u00d3lafsd\u00f3ttir SR, van Ooijen J, Paranhos R, Payne C, Pierre-Duplessix O, Prove G, Rabiller E, Raimbault P, Reed L, Rees C, Rho T, Roman R, Woodward EMS, Sun J, Szymczycha B, Takatani S, Taylor A, Thamer P, Torres-Vald\u00e9s S, Trahanovsky K, Waldron H, Walsham P, Wang L, Wang T, White L, Yoshimura T, Zhang J-Z - , - Refereed - , - Current - , - 14.A - , - Nutrients - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/872", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/872", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/872", "url": "https:\/\/hdl.handle.net\/11329\/872" }, "author": [ { "@type": "Person", "name": "Aoyama, M." }, { "@type": "Person", "name": "et al" } ], "contributor": [ { "@type": "Organization", "name": "International Ocean Carbon Coordination Project \/ Japan Agency for Marine-Earth Science and Technology (JAMSTEC)" } ], "keywords": [ "CRM", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1630", "name": "Ten principles for machine-actionable data management plans.", "description": " - Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations. They are often seen as an administrative exercise and not as an integral part of research practice. There is now widespread recognition that the DMP can have more thematic, machineactionable richness with added value for all stakeholders: researchers, funders, repository managers, research administrators, data librarians, and others. The research community is moving toward a shared goal of making DMPs machine-actionable to improve the experience for all involved by exchanging information across research tools and systems and embedding DMPs in existing workflows. This will enable parts of the DMP to be automatically generated and shared, thus reducing administrative burdens and improving the quality of information within a DMP. This paper presents 10 principles to put machine-actionable DMPs (maDMPs) into practice and realize their benefits. The principles contain specific actions that various stakeholders are already undertaking or should undertake in order to work together across research communities to achieve the larger aims of the principles themselves. We describe existing initiatives to highlight how much progress has already been made toward achieving the goals of maDMPs as well as a call to action for those who wish to get involved. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1630", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1630", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1630", "url": "https:\/\/hdl.handle.net\/11329\/1630" }, "author": [ { "@type": "Person", "name": "Miksa, T." }, { "@type": "Person", "name": "Simms, S." }, { "@type": "Person", "name": "Mietchen, D." }, { "@type": "Person", "name": "Jones, Sarah" } ], "keywords": [ "Data management plans", "Machine readable forms", "Cross-discipline", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/162", "name": "Manual on international oceanographic data exchange.", "description": " - The purpose of this manual (see Part I), is to assemble in convenient form for the guidance and use of practising oceanographers the various documents concerned with the assembly and disssemination of oceanographic data of all kinds. The full and expeditious exchange of data is the core of meaningful scientific co-operation. Investigations of phenomena and processes of global dimensions,such as those occurring in the ocean and atmosphere, are particularly dependent on the pooling of data from various sources, on a regional basis has been operated successfully for many years by the International Council for the Exploration of the Sea. The programme of the International Geophysical Year made necessary the creation of a world-wide system. Thus World Data Centres A and B (Oceanography) were established in Washington and Moscow, their operations being financed by the United States and the USSR. These centres, together with those in other disciplines, are responsible to the International Geophysical Committee (CIG) of the International Council of Scientific Unions (see Appendix I to the manual). The Intergovernmental Oceanographic Commission has produced a \"Provisional Guide for Exchange of Oceanographic Data\" (Part I1 of this manual). While the terms of the Provisional Guide are Voluntary, it should be recognized that order is necessary in such a rapidly expanding science if the full advantages of this expansion are to be widely A system for exchanging oceanographic data realized in the most efficient way. Approximate time limits as well as methods for the submission of the various kinds of data remain therefore a feature of the revised Guide, although a less exacting one than before. The \"Provisional Guide for Exchange of Oceanographic Data\" is supplemented in this manual by recommendations of the IOC Working Group on Oceanographic Data Exchange (Part 111) adopted in January 1964 and approved by the Commission at its,third session. These recommendations give details which are not conveniently included in the Provisional Guide itself. World Data Centres will in due course receive oceanographic data, in accordance with the Provisional Guide for declared national, or international oceanographic programmes. Such programmes entail an obligation to send data to the W D C s . Data can be sent to WDCs by laboratories or other data centres. Part IV of the manual is a list of existing or projected national oceanographic data centres or other designated national agencies, with their addresses, methods of working, and, where applicable, the services offered by each to data contributors.I The oceanographic data exchange system exists to facilitate the prosecution of marine research. Its success depends on the support of oceanographers, their supply and use of oceanographic data, and their suggestions for making the system responsive to their needs. - , - Published - , - data exchange - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/162", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/162", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/162", "url": "https:\/\/hdl.handle.net\/11329\/162" }, "author": [ { "@type": "Person", "name": "Intergovernmental Oceanographic Commission" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2210", "name": "Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies.", "description": " - Ice algae are a key component in polar marine food webs and have an active role in large-scale biogeochemical cycles. They remain extremely under-sampled due to the coarse nature of traditional point sampling methods compounded by the general logistical limitations of surveying in polar regions. This study provides a first assessment of hyperspectral imaging as an under-ice remote-sensing method to capture sea-ice algae biomass spatial variability at the ice\/water interface. Ice-algal cultures were inoculated in a unique inverted sea-ice simulation tank at increasing concentrations over designated cylinder enclosures and sparsely across the ice\/water interface. Hyperspectral images of the sea ice were acquired with a pushbroom sensor attaining 0.9 mm square pixel spatial resolution for three different spectral resolutions (1.7, 3.4, 6.7 nm). Image analysis revealed biomass distribution matching the inoculated chlorophyll a concentrations within each cylinder. While spectral resolutions >6 nm hindered biomass differentiation, 1.7 and 3.4 nm were able to resolve spatial variation in ice algal biomass implying a coherent sensor selection. The inverted ice tank provided a suitable sea-ice analogue platform for testing key parameters of the methodology. The results highlight the potential of hyperspectral imaging to capture sea-ice algal biomass variability at unprecedented scales in a non-invasive way. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Li-COR PAR sensor - , - Pushbroom SPECIM AISA KESTREL 10 (AK10) hyperspectral line scanner - , - TRiOS RAMSES radiance sensor - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2210", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2210", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2210", "url": "https:\/\/hdl.handle.net\/11329\/2210" }, "author": [ { "@type": "Person", "name": "Cimoli, Emiliano" }, { "@type": "Person", "name": "Lucieer, Arko" }, { "@type": "Person", "name": "Meiners, Klaus M." }, { "@type": "Person", "name": "Lund-Hansen, Lars Chresten" }, { "@type": "Person", "name": "Kennedy, Fraser" }, { "@type": "Person", "name": "Martin, Andrew" }, { "@type": "Person", "name": "McMinn, Andrew" }, { "@type": "Person", "name": "Lucieer, Vanessa" } ], "keywords": [ "Hyperspectral imaging", "Sea-ice algal biomass", "Sea Ice", "Ice algae", "Under ice remote sensing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1615", "name": "OceanBestPractices Guidelines for Collection Administrators, Version 2021-12-30.", "description": " - This document is specifically for Collection Administrators who can do all that submitters and editors can do, but in addition: - Editing Records already in OceanBestPractices live repository - Remove a full text file - Add a new full text file - Add new metadata - Edit Existing Metadata Move a record to another Collection - Item Mapper - map the record to more than one Collection - Create new versions of a record to upload a new version file - , - Published - , - Current - , - N\/A - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1615", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1615", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1615", "url": "https:\/\/hdl.handle.net\/11329\/1615" }, "author": [ { "@type": "Person", "name": "Simpson, Pauline" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO\/IOC Project Office for IODE" } ], "keywords": [ "Digital repository", "Best practices", "Ocean Best Practices System", "Administration and dimensions", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/393", "name": "Guide to Storm Surge Forecasting", "description": " - The development of this Guide to Storm Surge Forecasting, produced under the guidance of JCOMM ETWS, has been a team effort, involving a number of experts in various aspects of storm surge modelling and forecasting from several countries, many of whom are Members of ETWS. - , - Published - , - Refereed - , - Current - , - Sea state - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/393", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/393", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/393", "url": "https:\/\/hdl.handle.net\/11329\/393" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Expert Team on Wind Waves and Storm Surges (ETWS),", "Storm surges", "Storm surge prediction", "Wave forecasting", "Parameter Discipline::Physical oceanography::Waves", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2211", "name": "System Identification and Controller Design of a Novel Autonomous Underwater Vehicle.", "description": " - Autonomous underwater vehicle is an effective tool for humans to explore the ocean. It can be used for the monitoring of underwater structures and facilities, which puts forward more accurate and stable requirements for the system operation of the autonomous underwater vehicle. This paper studies the system and structural design, including the parameter identification design and control system design, of a novel autonomous underwater vehicle called Arctic AUV. The dynamic mathematical model of the Arctic AUV was established, and the system parameter identification method based on the multi-sensor least squares centralized fusion algorithm was proposed. The simplification of the mathematical model of the robot was theoretically derived, and the online parameter identification and motion control were combined, so that the robot could cope with the influence of the arctic water velocity and external turbulence. Based on the hybrid control scheme of adaptive PID and predictive control, the accurate motion control of the Arctic AUV was realized. A prototype of Arctic AUV was developed, and system parameter identification experiments were carried out in indoor pool water. Hybrid adaptive and predictive control experiments were also carried out. The validity of the parametric design method in this paper was verified, and by comparative experiment, the effect of the control method proposed in this paper was better than the traditional method. - , - Refereed - , - 14.a - , - Novel (no adoption outside originators) - , - Water velocity - , - Water turbulence - , - TCM electronic compass - , - DVL flow rate measurement sensor - , - OCTANS inertial navigation sensor - , - Depth gauge - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2211", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2211", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2211", "url": "https:\/\/hdl.handle.net\/11329\/2211" }, "author": [ { "@type": "Person", "name": "Wu, Baoju" }, { "@type": "Person", "name": "Han, Xiaowei" }, { "@type": "Person", "name": "Hui, Nanmu" } ], "keywords": [ "Autonomous underwater vehicle", "Under ice remote sensing", "Physical oceanography", "Data acquisition", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1080", "name": "The metagenomic data life-cycle: standards and best practices.", "description": " - Metagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine research, we summarize essential variables used to describe material sampling processes and sequencing procedures in a metagenomics experiment. These aspects of metagenomics dataset generation have been to some extent addressed by the scientific community, but greater awareness and adoption is still needed. We emphasize the lack of standards relating to reporting how metagenomics datasets are analysed and how the metagenomics data analysis outputs should be archived and published. We propose best practice as a foundation for a community standard to enable reproducibility and better sharing of metagenomics datasets, leading ultimately to greater metagenomics data reuse and repurposing. - , - Refereed - , - 14 - , - Manual - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1080", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1080", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1080", "url": "https:\/\/hdl.handle.net\/11329\/1080" }, "author": [ { "@type": "Person", "name": "ten Hoopen, Petra" }, { "@type": "Person", "name": "Finn, Robert D." }, { "@type": "Person", "name": "Bongo, Lars Ailo" }, { "@type": "Person", "name": "Corre, Erwan" }, { "@type": "Person", "name": "Fosso, Bruno" }, { "@type": "Person", "name": "Meyer, Folker" }, { "@type": "Person", "name": "Mitchell, Alex" }, { "@type": "Person", "name": "Pelletier, Eric" }, { "@type": "Person", "name": "Pesole, Graziano" }, { "@type": "Person", "name": "Santamaria, Monica" }, { "@type": "Person", "name": "Willassen, Nils Peder" }, { "@type": "Person", "name": "Cochrane, Guy" } ], "keywords": [ "Metagenomics", "Metadata", "Standards", "Sampling", "Sequencing", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1334", "name": "Protocol for IMOS TSS sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures \u2013 Protocol for IMOS TSS sample collection (4.29 mins) ........ - , - Published - , - Current - , - 14.A - , - Particulate matter - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1334", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1334", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1334", "url": "https:\/\/hdl.handle.net\/11329\/1334" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Training video", "IMOS", "TSS", "Total suspended solids", "Biogeochemical water sampling", "Water sampling", "Parameter Discipline::Marine geology::Suspended particulate material", "Instrument Type Vocabulary::particulates samplers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/368", "name": "Deployment and Maintenance of a High-frequency Radar (HFR) for Ocean Surface Current Mapping: Best Practices.", "description": " - The use of HF radar for the collection of ocean surface current information in near-real time is quickly expanding. As this national radar network grows and matures, there will be a need for a defined set of best practices for radar system operations and maintenance. In anticipation of this need, the radar operators for the Southern California Coastal Ocean Observing System (www.sccoos.org) prepared this document titled \u201cThe Deployment & Maintenance of a High-Frequency Radar (HFR) for Ocean Surface Current Mapping: Best Practices\u201d. The editors\u2019 intentions are that this document may serve as a stimulus for developing a national set of operational best practices. The document defines a set of best practices developed from the collective experience of the operators usage of compact direction finding radar systems, specifically, the SeaSonde\u00ae family of direction-fin ding HFRs manufactured by CODAR Ocean Sensors, Ltd. (COS). The best practices discussed in this document focus on the instal- lation, operation, and maintenance of CODAR SeaSondes. Further revisions of this document are expected to expand to include other manufacturers of HF radar equipment. As with all best practice documents, there is an expectation that this will be a living document that will expand to encompass community feedback and suggestions; corrections, modifications, comments, and additions are welcome from the entire HFR com- munity. The below list of editors may be contacted for any changes or updates. This document should be considered supple- mentary to manufacture provided documentation for products discussed herein. Manuals for the SeaSonde systems are provided by COS in the \/Codar\/SeaSonde\/Docs directory on each computer they ship, as well as on their websites www.codar.com and www.seasonde.com. - , - Published - , - 01 Feb 2008 update of Jan 2008 version titled Deployment & Setup ... 20171026 - not available on SCCOOS website - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/368", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/368", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/368", "url": "https:\/\/hdl.handle.net\/11329\/368" }, "contributor": [ { "@type": "Organization", "name": "University of California San Diego, Scripps Institution of Oceanography for SCCOOS" } ], "keywords": [ "High frequency radar", "SeaSonde", "Deployment", "SCCOOS", "CODAR", "Surface currents", "Quality assurance", "Software", "HFR", "Southern California Coastal Ocean Observing System (SCCOOS)", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::surface current radars", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/468", "name": "Beyond the benchtop and the benthos: Dataset management planning and design for time series of ocean carbonate chemistry associated with Durafet \u00ae -based pH sensors.", "description": " - To better understand the impact of ocean acidification on marine ecosystems, an important ongoing research priority for marine scientists is to characterize present-day pH variability. Following recent technological advances, autonomous pH sensor deployments in shallow coastal marine environments have revealed that pH dynamics in coastal oceans are more variable in space and time than the discrete, open-ocean measurements that are used for ocean acidification projections. Data from these types of deployments will benefit the research community by facilitating the improved design of ocean acidification studies as well as the identification or evaluation of natural and human-influenced pH variability. Importantly, the collection of ecologically relevant pH data and a cohesive, user-friendly integration of results across sites and regions requires (1) effective sensor operation to ensure high-quality pH data collection and (2) efficient data management for accessibility and broad reuse by the marine science community. Here, we review the best practices for deployment, calibration, and data processing and quality control, using our experience with Durafet\u00ae-based pH sensors as a model. Next, we describe information management practices for streamlining preservation and distribution of data and for cataloging different types of pH sensor data, developed in collaboration with two U.S. Long Term Ecological Research (LTER) sites. Finally, we assess sensor performance and data recovery from 73 SeaFET deployments in the Santa Barbara Channel using our quality control guidelines and data management tools, and offer recommendations for improved data yields. Our experience provides a template for other groups contemplating using SeaFET technology as well as general steps that may be helpful for the design of data management for other complex sensors. - , - Refereed - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/468", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/468", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/468", "url": "https:\/\/hdl.handle.net\/11329\/468" }, "author": [ { "@type": "Person", "name": "Rivest, Emily B." }, { "@type": "Person", "name": "O'Brien, Margaret" }, { "@type": "Person", "name": "Kapsenberg, Lydia" }, { "@type": "Person", "name": "Gotschalk, Chris C." }, { "@type": "Person", "name": "Blanchette, Carol A." }, { "@type": "Person", "name": "Hoshijima, Umihiko" }, { "@type": "Person", "name": "Hofmann, Gretchen E." } ], "keywords": [ "Long Term Ecological Research (LTER)", "Ocean acidification", "SeaFET", "Time series", "Instrument Type Vocabulary::pH sensors", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/642", "name": "Recommendations for improved and coherent acquisition and processing of backscatter data from seafloor-mapping sonars.", "description": " - Multibeam echosounders are becoming widespread for the purposes of seafloor bathymetry mapping, but the acquisition and the use of seafloor backscatter measurements, acquired simultaneously with the bathymetric data, are still insufficiently understood, controlled and standardized. This presents an obstacle to well-accepted, standardized analysis and application by end users. The Marine Geological and Biological Habitat Mapping group (Geohab.org) has long recognized the need for better coherence and common agreement on acquisition, processing and interpretation of seafloor backscatter data, and established the Backscatter Working Group (BSWG) in May 2013. This paper presents an overview of this initiative, the mandate, structure and program of the working group, and a synopsis of the BSWG Guidelines and Recommendations to date. The paper includes (1) an overview of the current status in sensors and techniques available in seafloor backscatter data from multibeam sonars; (2) the presentation of the BSWG structure and results; (3) recommendations to operators, end-users, sonar manufacturers, and software developers using sonar backscatter for seafloor-mapping applications, for best practice methods and approaches for data acquisition and processing; and (4) a discussion on the development needs for future systems and data processing. We propose for the first time a nomenclature of backscatter processing levels that affords a means to accurately and efficiently describe the data processing status, and to facilitate comparisons of final products from various origins. - , - Refereed - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/642", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/642", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/642", "url": "https:\/\/hdl.handle.net\/11329\/642" }, "author": [ { "@type": "Person", "name": "Lamarche, Geoffroy" }, { "@type": "Person", "name": "Lurton, Xavier" } ], "keywords": [ "Multibeam echosounders", "Seafloor mapping", "Instrument calibration", "Reflectivity", "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::multi-beam echosounders", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2130", "name": "SOCIB Glider - Canales Endurance Line Data Management Plan (Version 1.0).", "description": " - The SOCIB Glider - Canales Endurance Line Data Management Plan (DMP) describes the data management life cycle for the ocean glider data, collected, processed and\/or generated by SOCIB. It also includes the Ocean Glider data curation, preservation and the description of the data flows from SOCIB to the main European marine data portals such as, CMEMS-INSTAC, SeaDataNet and EMODnet. The objective of this DMP is to improve the day-to-day handling of the SOCIB Ocean Glider data, creating a more transparent, collaborative, and sustainable communication system both internally and with the end users. Furthermore, this document helps to enhance the competitive access by clarifying the role and the responsibilities of the teams involved in the different components of the data life cycle. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2130", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2130", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2130", "url": "https:\/\/hdl.handle.net\/11329\/2130" }, "author": [ { "@type": "Person", "name": "Marasco, M." }, { "@type": "Person", "name": "Zarokanellos, N.D." }, { "@type": "Person", "name": "Charcos, M." }, { "@type": "Person", "name": "Fern\u00e1ndez, J.G," }, { "@type": "Person", "name": "Miralles, A." }, { "@type": "Person", "name": "Rotll\u00e1n, P." }, { "@type": "Person", "name": "Tintor\u00e9, J." } ], "contributor": [ { "@type": "Organization", "name": "Balearic Islands Coastal Observing and Forecasting System, SOCIB." } ], "keywords": [ "Gliders", "Data Management Plan", "Physical oceanography", "Data processing", "Data quality control", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1157", "name": "OGC IOGP\/IPIECA Recommended Practice for a Common Operating Picture for Oil Spill Response. Version 1.0.", "description": " - Responding to an oil spill requires access to and understanding of many types of information. Effective, coordinated operations for the response are based on a shared, common picture of the situation. Interoperability provides shared situational awareness of the crisis and the response activities. What is needed is a common picture of reality for different organizations that have different views of the spill so that they all can deal with it collectively. Recent oil spills have provided lessons learned and recommendations on forming a Common Operating Picture for oil spill response. Through a joint project, industry is responding to the call, moving from recommendations to reusable best practices supported by open standards that can be deployed quickly in any region of the globe. This architecture report is part of The International Association of Oil & Gas Producers and IPIECA Oil Spill Response - Joint Industry Project (IOGP\u2013IPIECA OSR-JIP) to produce a recommended practice for GIS\/mapping in support of oil spill response and for the use of GIS technology and geospatial information in forming a \u201cCommon Operating Picture\u201d to support management of the response. Interoperability seems to be at first a technical topic, but in fact, it is about organization. Interoperability seems to be about the integration of information. What it\u2019s really about is the coordination of organizational behavior. The Oil Spill Response Common Operating Picture (OSR COP) project seeks to facilitate the coordination of organizational response to any oil spill in the future. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1157", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1157", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1157", "url": "https:\/\/hdl.handle.net\/11329\/1157" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2176", "name": "The challenges of marine spatial planning in the Arctic: Results from the ACCESS programme.", "description": " - Marine spatial planning is increasingly used to manage the demands on marine areas, both spatially and temporally, where several different users may compete for resources or space, to ensure that development is as sustainable as possible. Diminishing sea-ice coverage in the Arctic will allow for potential increases in economic exploitation, and failure to plan for cross-sectoral management could have negative economic and environmental results. During the ACCESS programme, a marine spatial planning tool was developed for the Arctic, enabling the integrated study of human activities related to hydrocarbon exploitation, shipping and fisheries, and the possible environmental impacts, within the context of the next 30 years of climate change. In addition to areas under national jurisdiction, the Arctic Ocean contains a large area of high seas. Resources and ecosystems extend across political boundaries. We use three examples to highlight the need for transboundary planning and governance to be developed at a regional level. - , - Refereed - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2176", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2176", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2176", "url": "https:\/\/hdl.handle.net\/11329\/2176" }, "author": [ { "@type": "Person", "name": "Edwards, Rosemary" }, { "@type": "Person", "name": "Evans, Alan" } ], "keywords": [ "Marine spatial planning", "Ocean governance", "GIS", "Policy", "Human activity", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2453", "name": "Manual for Marine Monitoring in the COMBINE Programme of HELCOM.", "description": " - Monitoring is since long a well-established function of the Helsinki Convention. Monitoring of physical, chemical and biological variables of the open sea started in 1979, monitoring of radioactive substances in the Baltic Sea started in 1984. Until 1992 monitoring of coastal waters was considered as a national obligation and only assessment of such data had to be reported to the Commission. However, under the revised Helsinki Convention, 1992, it is an obligation to conduct also monitoring of the coastal waters and to report the data to the Commission. This programme will also cater for the needs of monitoring in the Baltic Sea Protected Areas (BSPA). The Environment Committee decided that for management reasons the different program should be integrated into a common structure and thus the Cooperative Monitoring in the Baltic Marine Environment - COMBINE - was instituted in 1992. This Manual is directed to all performing monitoring in the COMBINE Programme. The Manual defines the contributions made by all Contracting Parties and regulates all methods used. The document will be revised when there is a need for changes in the Programme content or for updating of technical annexes. The official version of the Manual for Marine Monitoring in the COMBINE Programme of HELCOM is always available electronically via the HELCOM home page. The validity of copies must always at all times be controlled against the official version by end users. This Manual is updated once a year. Changes to be included in the Manual should be considered by the Monitoring and Assessment Group and after its endorsement submitted to the Secretariat not later than 1 June. These changes will then be valid from 1 January the following year. All changes are highlighted by a separate note, section by section. - , - Published - , - PART A. General aspects PART B. General guidelines on quality assurance for monitoring in the Baltic Sea Annex B-1 Principle components of a quality manual Annex B-2. Validation of established analytical methods Annex B-3 Quality audit Annex B-4 Standard Operating Procedures Annex B-5 General remarks on sampling Annex B-6 Examples of reference materials for internal quality control Annex B-7 Units and conversion Annex B-8: Technical note on the determination of hydrographic parameters: Annex B-9 Technical note on the determination of nutrients . Annex B-10 Chemical analysis of anoxic waters Annex B-11 Technical note on the determination of heavy metals and persistent organic compounds in seawater Annex B-12 Technical note on the determination of heavy metals and persistent organic compounds in biota Annex B-13 Technical note on the determination of heavy metals and persistent organic compounds in marine sediments Annex B-14 Technical note on the measurement of pH in seawater Annex B-15 Technical note on the measurement of total alkalinity in seawater Annex B-16 Technical note on co-factors analysis Annex B-17 Technical note on the determination of organic carbon in seawater PART C Programme for monitoring of eutrophication and its effects Annex C-1 Tables listing sample stations Annex C-2 Hydrographic and hydrochemical variables . Annex C-3 Sediment traps Annex C-4. Phytoplankton chlorophyll a Annex C-5 Phytoplankton primary production Annex C-6: Guidelines concerning phytoplankton species composition, abundance and biomass Annex C-7 Mesozooplankton Annex C-8 Soft bottom macrozoobenthos Annex C-9 Guidelines for monitoring of phytobenthic plant and animal communities in the Baltic Sea Annex C-10 Guidelines for fish monitoring sampling methods of HELCOM Annex C-11: Guidelines concerning bacterioplankton growth determination Annex C-12: Guidelines concerning bacterioplankton abundance determination PART D. Programme for monitoring of contaminants and their effects - , - Refereed - , - Current - , - 14.1 - , - Sea surface temperature - , - Subsurface temperature - , - Mature - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2453", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2453", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2453", "url": "https:\/\/hdl.handle.net\/11329\/2453" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Physical oceanography", "Chemical oceanography", "Biological oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2052", "name": "DNA Metabarcoding Methods for the Study of Marine Benthic Meiofauna: A Review.", "description": " - Meiofaunal animals, roughly between 0.045 and 1 mm in size, are ubiquitous and ecologically important inhabitants of benthic marine ecosystems. Their high species richness and rapid response to environmental change make them promising targets for ecological and biomonitoring studies. However, diversity patterns of benthic marine meiofauna remain poorly known due to challenges in species identification using classical morphological methods. DNA metabarcoding is a powerful tool to overcome this limitation. Here, we review DNA metabarcoding approaches used in studies on marine meiobenthos with the aim of facilitating researchers to make informed decisions for the implementation of DNA metabarcoding in meiofaunal biodiversity monitoring. We found that the applied methods vary greatly between researchers and studies, and concluded that further explicit comparisons of protocols are needed to apply DNA metabarcoding as a standard tool for assessing benthic meiofaunal community composition. Key aspects that require additional consideration include: (1) comparability of sample pre-treatment methods; (2) integration of different primers and molecular markers for both the mitochondrial cytochrome c oxidase subunit I (COI) and the nuclear 18S rRNA genes to maximize taxon recovery; (3) precise and standardized description of sampling methods to allow for comparison and replication; and (4) evaluation and testing of bioinformatic pipelines to enhance comparability between studies. By enhancing comparability between the various approaches currently used for the different aspects of the analyses, DNA metabarcoding will improve the long-term integrative potential for surveying and biomonitoring marine benthic meiofauna. - , - Refereed - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2052", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2052", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2052", "url": "https:\/\/hdl.handle.net\/11329\/2052" }, "author": [ { "@type": "Person", "name": "Gielings, Romy" }, { "@type": "Person", "name": "Fais, Maria" }, { "@type": "Person", "name": "Fontaneto, Diego" }, { "@type": "Person", "name": "Creer, Simon" }, { "@type": "Person", "name": "Costa, Filipe Oliveira" }, { "@type": "Person", "name": "Renema, Willem" }, { "@type": "Person", "name": "Macher, Jan-Niklas" } ], "keywords": [ "Meiofauna", "DNA metabarcoding", "Biomonitoring", "Meiobenthos", "Molecular methods", "Sampling techniques", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/647", "name": "Designing an observing system for early detection of harmful algal blooms.", "description": " - Harmful algal blooms (HABs) are a serious and growing threat to many desalination plants. It is therefore important to limit the impact from HABs by preventing blooms from reaching seawater reverse osmosis (SWRO) plants in the first place, while also mitigating their effects through pretreatment and other actions within the plant once intake has occurred. In this chapter, traditional and emerging technologies in the field of HAB detection and monitoring are summarized. Also advice on designing \u201cobserving systems\u201d for early detection or characterization of algal blooms is provided. These systems will vary dramatically in terms of the number of parameters to be measured, the number of stations, frequency of sampling and instruments used - all determined by desalination plant budgets and personnel skills, the nature of the HAB threat for a given plant or region, and other such considerations. An observing system might be as simple as visual observations of the color or nature of the intake water, or as complex as a moored array of autonomous sensors outside the plant, or weekly surveys from small vessels to determine what algal species and blooms are in the intake area or surrounding waters, and thus likely to impact the plant. There are a number of factors that complicate the design of an observing system. One is the diversity of HAB species. Potentially harmful phytoplankton are found in many groups (mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes, cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes, (cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB species in the marine environment where desalination plants are located, many of the toxic species that pose a threat to drinking water supply in fresh- or brackish-water systems are cyanobacteria. A second factor is that phytoplankton distribution in the sea is not uniform vertically or horizontally in space or in time. This is termed \u201cpatchiness\u201d and results from the interaction between physical and biological processes. Examples are presented later in this chapter. The In this chapter, traditional and emerging technologies in the field of HAB detection and monitoring are summarized. Also advice on designing \u201cobserving systems\u201d for early detection or characterization of algal blooms is provided. These systems will vary dramatically in terms of the number of parameters to be measured, the number of stations, frequency of sampling and instruments used - all determined by desalination plant budgets and personnel skills, the nature of the HAB threat for a given plant or region, and other such considerations. An observing system might be as simple as visual observations of the color or nature of the intake water, or as complex as a moored array of autonomous sensors outside the plant, or weekly surveys from small vessels to determine what algal species and blooms are in the intake area or surrounding waters, and thus likely to impact the plant. There are a number of factors that complicate the design of an observing system. One is the diversity of HAB species. Potentially harmful phytoplankton are found in many groups (mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes, cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes, (cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB species in the marine environment where desalination plants are located, many of the toxic species that pose a threat to drinking water supply in fresh- or brackish-water systems are cyanobacteria. A second factor is that phytoplankton distribution in the sea is not uniform vertically or horizontally in space or in time. This is termed \u201cpatchiness\u201d and results from the interaction between physical and biological processes. Examples are presented later in this chapter. TheIn this chapter, traditional and emerging technologies in the field of HAB detection and monitoring are summarized. Also advice on designing \u201cobserving systems\u201d for early detection or characterization of algal blooms is provided. These systems will vary dramatically in terms of the number of parameters to be measured, the number of stations, frequency of sampling and instruments used - all determined by desalination plant budgets and personnel skills, the nature of the HAB threat for a given plant or region, and other such considerations. An observing system might be as simple as visual observations of the color or nature of the intake water, or as complex as a moored array of autonomous sensors outside the plant, or weekly surveys from small vessels to determine what algal species and blooms are in the intake area or surrounding waters, and thus likely to impact the plant. There are a number of factors that complicate the design of an observing system. One is the diversity of HAB species. Potentially harmful phytoplankton are found in many groups (mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes, cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes, (cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB species in the marine environment where desalination plants are located, many of the toxic species that pose a threat to drinking water supply in fresh- or brackish-water systems are cyanobacteria. A second factor is that phytoplankton distribution in the sea is not uniform vertically or horizontally in space or in time. This is termed \u201cpatchiness\u201d and results from the interaction between physical and biological processes. Examples are presented later in this chapter. The In this chapter, traditional and emerging technologies in the field of HAB detection and monitoring are summarized. Also advice on designing \u201cobserving systems\u201d for early detection or characterization of algal blooms is provided. These systems will vary dramatically in terms of the number of parameters to be measured, the number of stations, frequency of sampling and instruments used - all determined by desalination plant budgets and personnel skills, the nature of the HAB threat for a given plant or region, and other such considerations. An observing system might be as simple as visual observations of the color or nature of the intake water, or as complex as a moored array of autonomous sensors outside the plant, or weekly surveys from small vessels to determine what algal species and blooms are in the intake area or surrounding waters, and thus likely to impact the plant. There are a number of factors that complicate the design of an observing system. One is the diversity of HAB species. Potentially harmful phytoplankton are found in many groups (mainly eukaryotes) such as dinoflagellates, raphidophytes, diatoms, euglenophytes, cryptophytes, haptophytes, pelagophytes, and chlorophytes (see Chapter 1), but prokaryotes, (cyanobacteria) are also a concern. While dinoflagellates comprise the majority of toxic HAB species in the marine environment where desalination plants are located, many of the toxic species that pose a threat to drinking water supply in fresh- or brackish-water systems are cyanobacteria. A second factor is that phytoplankton distribution in the sea is not uniform vertically or horizontally in space or in time. This is termed \u201cpatchiness\u201d and results from the interaction between physical and biological processes. Examples are presented later in this chapter. The simultaneous use of multiple monitoring methods is therefore often necessary to characterize the species composition and extent of blooms, but even then, a full picture of the distribution of a HAB may not be achievable. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Phytoplankton biomass and diversity - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/647", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/647", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/647", "url": "https:\/\/hdl.handle.net\/11329\/647" }, "author": [ { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Anderson, Clarissa R." }, { "@type": "Person", "name": "Coyne, Kathryn J." }, { "@type": "Person", "name": "Sellner, Kevin G." }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton", "Instrument Type Vocabulary::flow cytometers", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/107", "name": "JCOMM Data Management Plan.", "description": " - Data management plan - , - JCOMM was established by the World Meteorological Organization (WMO) and UNESCO's Intergovernmental Oceanographic Commission (IOC) in 1999 to be their major advisory body on all technical aspects of operational marine meteorology and oceanography. JCOMM deals in a variety of data within the broad domains of oceanography and marine meteorology. This Data Management Plan provides the broad outlines and recommendations by which the DMPA will help attain the vision of JCOMM. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/107", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/107", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/107", "url": "https:\/\/hdl.handle.net\/11329\/107" }, "author": [ { "@type": "Person", "name": "JCOMM Data Management Coordination Group" } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Data management plan" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1361.2", "name": "Guidelines for Harmonizing Ocean Surface Microplastic Monitoring Methods. Version 1.2.", "description": " - ATLAS OF OCEAN MICROPLASTICS (AOMI), a global database of surface microplastics was launched in 2024 at https:\/\/aomi.env.go.jp\/. It contains the data from all over the world, in line with the Guidelines, The uploaded version (1.2) of \u201cGuidelines for Harmonizing Ocean Surface Microplastic Monitoring Methods (revised in 2023)\u201d (herein after referred to as the Guidelines) primary goal is to propose ways of harmonizing methodologies for monitoring microplastic densities at the ocean surface to deliver comparable results. The Guidelines indicate the rationale for various sample collection methods, sample handling and processing, analytical procedures, reporting requirements, and other matters necessary or desirable for harmonization. This harmonization initiative is based on governmental commitment at G7 and G20. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Best Practice - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1361.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1361.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1361.2", "url": "https:\/\/hdl.handle.net\/11329\/1361.2" }, "author": [ { "@type": "Person", "name": "Michida, Yutaka" }, { "@type": "Person", "name": "Chavanich, Suchana" }, { "@type": "Person", "name": "Chiba, Sanae" }, { "@type": "Person", "name": "Cordova, Muhammad Reza" }, { "@type": "Person", "name": "Cozsar Cabanas, Andr\u00e9s" }, { "@type": "Person", "name": "Galgani, Francois" }, { "@type": "Person", "name": "Hagmann, Pascal" }, { "@type": "Person", "name": "Hinata, Hirofumi" }, { "@type": "Person", "name": "Isobe, Atsuhiko" }, { "@type": "Person", "name": "Kershaw, Peter" }, { "@type": "Person", "name": "Kozlovskii, Nikolai" }, { "@type": "Person", "name": "Li, Daoji" }, { "@type": "Person", "name": "Lusher, Amy L." }, { "@type": "Person", "name": "Marti, Elisa" }, { "@type": "Person", "name": "Mason, Sherri A." }, { "@type": "Person", "name": "Mu, Jingli" }, { "@type": "Person", "name": "Saito, Hiroaki" }, { "@type": "Person", "name": "Shim, Won Joon" }, { "@type": "Person", "name": "Syakti, Agung Dhamar" }, { "@type": "Person", "name": "Takada, Hideshige" }, { "@type": "Person", "name": "Thompson, Richard" }, { "@type": "Person", "name": "Tokai, Tadashi" }, { "@type": "Person", "name": "Uchida, Keiichi" }, { "@type": "Person", "name": "Vasilenko, Katerina" }, { "@type": "Person", "name": "Wang, Juying" } ], "contributor": [ { "@type": "Organization", "name": "Ministry of the Environment, Japan" } ], "keywords": [ "Microplastics", "Ocean surface", "Net sampling", "Harmonization", "Monitoring methods", "Marine litter", "Marine plastics", "Plastic litter", "Sampling methods", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1229", "name": "Procedures for Data and Metadata Harmonisation: INSPIRE online training course.", "description": " - Procedures for Data and Metadata Harmonisation Abstract: This self-learning module gives an overview on the procedures used to transform heterogeneous source datasets and metadata according to the relevant INSPIRE target schemas. It outlines the principles of data and metadata harmonization related to INSPIRE and describes the steps needed in an harmonization process. The module explains how to analyse the data models (source and target) and how to utilize matching tables in order to perform the mapping between source data and INSPIRE target schema elements. It gives an overview of some transformation tools in order to help the selection of the most suitable one. The module introduces the principles of validation, as a necessary step to check\/claim the compliance of the harmonized data and\/or metadata to the relevant specification. Practical examples of data transformation and validation are provided in the LINKVIT modules \u201cData Remodelling: Practical Experiences\u201d and \u201cMetadata and Data Validation for INSPIRE\u201d respectively. Structure: Principles of Data and Metadata Harmonization Source and Target Data models Matching tables Transformation of Data and Metadata Principles of validation of transformed data and metadata Learning outcomes: After the module, the participant will be able to identify and describe the steps needed to perform a data\/metadata harmonisation, identify the applicable regulations\/guidelines needed in an harmonisation and\/or validation process, identify the suitable transformation tool(s), evaluate the complexity of a data\/metadata harmonisation process. Intended Audience: GIS and ICT professionals, who aim to understand the principles of an INSPIRE harmonisation. Non-technical staff belonging to organisations aiming to implement INSPIRE. Pre-requisites: Basic knowledge of the INSPIRE directive. Training format: PDF documents, presentations, Weblecture. The module is a self-learning module. Expected Workload: 2 hours Language: EN - , - European Commission - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1229", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1229", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1229", "url": "https:\/\/hdl.handle.net\/11329\/1229" }, "author": [ { "@type": "Person", "name": "Martirano, Giacomo" }, { "@type": "Person", "name": "Vinci, Fabio" }, { "@type": "Person", "name": "Morrone, Stefania" } ], "contributor": [ { "@type": "Organization", "name": "European Commission, INSPIRE" } ], "keywords": [ "Training course", "Metadata harmonization", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data interoperability development", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1348", "name": "Quality Control of in situ Sea Level Observations: a Review and Progress towards Automated Quality Control, Vol. 1.", "description": " - The Global Sea-Level Observing System (GLOSS, https:\/\/www.gloss-sealevel.org\/) is an international programme conducted under the auspices of the Intergovernmental Oceanographic Commission (IOC) of UNESCO. GLOSS aims at the establishment of high quality global and regional sea level networks for application to climate, oceanographic and coastal sea level research. The programme became known as GLOSS as it provides data for deriving the 'Global Level of the Sea Surface'. A major component of GLOSS is the 'Global Core Network' (GCN) of approximately 300 sea level stations around the world for long-term climate change and oceanographic sea level monitoring (Figure 1). The Core Network is designed to provide an approximately evenly-distributed sampling of global coastal sea level variations. GLOSS can be considered a component of IOC's Global Ocean Observing System (GOOS), and particularly as a major contributor to its Climate and Coastal Modules. In appreciation of the multiple uses of tide gauges, GLOSS has also sought to provide sea level data that meets the standards and requirements for tsunami warning and storm surge monitoring. Numerous GLOSS GCN stations have for many years contributed to the Pacific Tsunami Warning and Mitigation System (PTWS) and, following the 2004 Sumatra Earthquake, the IOC in consultation with GLOSS, has taken an active role in coordinating and implementing the sea level networks for the Indian Ocean Tsunami Warning and Mitigation System (IOTWMS), the Tsunami and other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (CARIBE-EWS), and the Tsunami Early Warning and Mitigation System in the North-Eastern Atlantic, the Mediterranean and Connected Seas (NEAMTWS) (http:\/\/www.ioc-tsunami.org\/). Data from more than 70 countries are contributed to GLOSS, and in particular to the GLOSS Data Centres including the Permanent Service for Mean Sea-Level (PSMSL). However, quality control, although defined originally within the GLOSS programme, is accomplished at different levels and by different institutions and programmes at this moment. In addition, many sea level stations are not committed to GLOSS and the number of organizations dealing with tide gauge data (originators, facilitators and users) has increased. Thus, it is necessary to bring up to date the current good practice and distribute the information widely as a means of realizing a more standardized approach to quality control. Application of standardized sea level quality control, and agreed filtering techniques, will ensure that tide gauge data supplied to sea level data banks are consistent, and of a known accuracy. This will allow future researchers to better define confidence limits when applying these data. The objective of this manual is to compile and update the standards and best practices on quality control of tide gauge data. Although related information has been included in the IOC Manuals on Sea Level Measurement and Interpretation (Volumes I (1985), II (1994), III (2002), IV (2006) and V (2016)), this is the first time that detailed information on these quality control procedures has been assembled into one document, addressing new issues like automation, for management of hundreds of long time series, or near-real time quality control procedures, for operational applications. - , - Published - , - Contributors and providers of other information: Ruth Farre ; Thomas Hammarklint; Aram Kim ; Philip MacAulay; Fernando Manzano; Marco Picone; Octavio G\u00f3mez Ramos; Oda Roaldsdotter Ravndal; Scott Stephens ; Joanne Williams ; Technical editing: Thorkild Aarup and Elena Iasyreva Acknowledgements: The editing team would like to thank Philip Woodworth, Guy W\u00f6ppelmann, Tilo Sch\u00f6ne and Laurent Testut for very helpful comments and suggestions. - , - Refereed - , - Current - , - 14.A - , - Sea surface height - , - Mature - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1348", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1348", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1348", "url": "https:\/\/hdl.handle.net\/11329\/1348" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Tide gauge data", "GLOSS Data Centres", "Quality control", "Global Sea-Level Observing System (GLOSS)", "Sea level data", "Parameter Discipline::Physical oceanography::Sea level", "Instrument Type Vocabulary::sea level recorders", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1509", "name": "Building a fisherman-first data ecosystem.", "description": " - This report presents opportunities and possible models for the New England groundfish community to own, control, manage, and use fisheries data, with a particular focus on governing electronic monitoring data. It is the product of two workshops organized by The Cape Cod Commercial Fishermen\u2019s Alliance and facilitated by Digital Public in the fall of 2018. Among the fishing community, there is a sense that fishermen are on the outside of a data monopoly. As data collection systems modernize, fishermen have the chance to build a parallel data collection ecosystem. With independent access to data, the fishing community can support independent research, develop new business opportunities, and pursue additional uses for their data as they see fit. The future of data management in New England groundfish fisheries has yet to be written. To better prepare the fishing community for that future, this report presents a menu of options: technical and legal models for how data projects may be architected and governed. This report\u2019s technical models fall into three categories: standards body, clearinghouse, and repository. For each data project, the community\u2019s core choice is whether to hold data itself or to facilitate access to data. This report\u2019s legal models focus on the relationship between a data project\u2019s manager and fishermen. It discusses trusts and organizations as possible legal homes for a data project, and outlines specific powers and duties for a project\u2019s manager. - , - Published - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1509", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1509", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1509", "url": "https:\/\/hdl.handle.net\/11329\/1509" }, "author": [ { "@type": "Person", "name": "Porcaro, Keith" } ], "contributor": [ { "@type": "Organization", "name": "Digital Public for Cape Cod Commercial Fisherman's Alliance" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture", "Data Management Practices::Data acquisition", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2324", "name": "Marine HNS Response Manual: Multi-regional Bonn Agreement, HELCOM, REMPEC.", "description": " - Maritime transport is often described as \u201cthe backbone of globalized trade and the manufacturing supply chain\u201d, since more than 80% of the global merchandise trade by volume is carried by sea. Some of the goods transported are defined as Hazardous and Noxious Substances (HNS). HNS might be released into the sea as the consequence of illegal discharges or maritime accidents such as groundings or collisions; and whilst major incidents involving an HNS spill are rare, they can be very complex and potentially have severe impacts on human health, the environment, and socio-economic resources. The particular challenges associated with responding to HNS incidents are linked to the heterogeneity of the various substances considered as HNS, which include substances presenting various hazards (physical hazards such as fire and explosion, health hazards such as toxicity, and environmental hazards) and behaviours (gases\/evaporators, floaters, dissolvers, sinkers). The objective of this Marine HNS Response Manual is to provide operational guidance for first responders and decision-makers during a maritime incident at sea or in port involving HNS. The manual does not cover all aspects of an incident involving HNS, but specifically addresses relevant offshore and onshore spill response techniques (but excludes topics such as search and rescue, salvage, medical treatment). The HNS Marine Response Manual consists of three parts: 1. Introductory background information relevant for understanding the concepts driving an HNS response strategy in seven chapters; 2. Operational fact sheets and decision- making flowcharts relevant for responders; 3. Annexes I, II and III include regional specificities (information on maritime transport, sensitive resources, etc.) for the Baltic Sea (Helsinki Commission (HELCOM)), North Sea (Bonn Agreement) and Mediterranean Sea (The Regional Marine Pollution Emergency Response Centre for the Mediterranean Sea (REMPEC)) respectively. - , - European Union Civil Protection - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2324", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2324", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2324", "url": "https:\/\/hdl.handle.net\/11329\/2324" }, "author": [ { "@type": "Person", "name": "Alcaro, Luigi" }, { "@type": "Person", "name": "Brandt, Julke" }, { "@type": "Person", "name": "Giraud, William" }, { "@type": "Person", "name": "Mannozzi, Michela" }, { "@type": "Person", "name": "Nicolas-Kopec, Annabelle" } ], "contributor": [ { "@type": "Organization", "name": "Project WestMopoco" } ], "keywords": [ "Hazardous substances", "Spill response techniques", "Transportation", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1379", "name": "WIGOS metadata standard, 2019 edition.", "description": " - An important aspect of the WMO Integrated Global Observing System (WIGOS) implementation is ensuring maximum usefulness of WIGOS observations. Observations without metadata are of very limited use: it is only when accompanied by adequate metadata (data describing the data) that the full potential of the observations can be utilized.Two complementary types of metadata are required: discovery metadata and interpretation\/description or observational metadata. Discovery metadata facilitate data discovery, access and retrieval. They are WMO Information System (WIS) metadata and are specified and handled as part of WIS. Interpretation\/description or observational metadata enable data values to be interpreted in context. They constitute WIGOS metadata and are the subject of this WIGOS standard describing the interpretation metadata required for the effective utilization of observations from all WIGOS component observing systems by all users.The WIGOS metadata should describe the observed variable, the conditions under which it was observed, how it was measured or classified, and how the data have been processed, in order to provide users with confidence that the data are appropriate for their application. In the Manual on the WMO Integrated Global Observing System (WMO-No. 1160), Appendix 2.1, the observing network design principle 10 refers to the need of \u201cProviding information so that the observations can be interpreted\u201d (metadata), while in Appendix 2.2, the Global Climate Observing System (GCOS) Climate Monitoring Principle 2.2.1(c) describes the relevance of metadata as follows: \u201cThe details and history of local conditions, instruments, operating procedures, data-processing algorithms and other factors pertinent to interpreting data (that is, metadata) should be documented and treated with the same care as the data themselves.\u201dThe WMO Integrated Global Observing System observations consist of an exceedingly wide range of data, from manual observations to complex combinations of satellite hyper-spectral frequency bands, measured in situ or remotely, from single dimension to multiple dimensions, and those involving processing. A comprehensive metadata standard covering all types of observation is by nature complex to define. A user should be able to use the WIGOS metadata to identify the conditions under which the observation, or measurement, was made, and any aspects that may affect its use or understanding, that is, to determine whether the observations are fit for the purpose. - , - Published - , - Refereed - , - Current - , - 13 - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1379", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1379", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1379", "url": "https:\/\/hdl.handle.net\/11329\/1379" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Observations", "Meteorological instrument", "Automated Weather Observing System (AWOS)", "WMO Integrated Global Observing System (WIGOS)", "Information management", "Global Space-based Inter-Calibration System (GSICS)", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/629", "name": "Experimental strategies to assess the biological ramifications of multiple drivers of global ocean change - a review.", "description": " - Marine life is controlled by multiple physical and chemical drivers and by diverse ecological processes. Many of these oceanic properties are being altered by climate change and other anthropogenic pressures. Hence, identifying the influences of multifaceted ocean change, from local to global scales, is a complex task. To guide policy\u2010making and make projections of the future of the marine biosphere, it is essential to understand biological responses at physiological, evolutionary and ecological levels. Here, we contrast and compare different approaches to multiple driver experiments that aim to elucidate biological responses to a complex matrix of ocean global change. We present the benefits and the challenges of each approach with a focus on marine research, and guidelines to navigate through these different categories to help identify strategies that might best address research questions in fundamental physiology, experimental evolutionary biology and community ecology. Our review reveals that the field of multiple driver research is being pulled in complementary directions: the need for reductionist approaches to obtain process\u2010oriented, mechanistic understanding and a requirement to quantify responses to projected future scenarios of ocean change. We conclude the review with recommendations on how best to align different experimental approaches to contribute fundamental information needed for science\u2010based policy formulation. - , - Refereed - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/629", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/629", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/629", "url": "https:\/\/hdl.handle.net\/11329\/629" }, "author": [ { "@type": "Person", "name": "Boyd, Philip W." }, { "@type": "Person", "name": "Collins, Sinead" }, { "@type": "Person", "name": "Dupont, Sam" }, { "@type": "Person", "name": "Fabricius, Katharina" }, { "@type": "Person", "name": "Gattuso, Jean\u2010Pierre" }, { "@type": "Person", "name": "Havenhand, Jonathan" }, { "@type": "Person", "name": "Hutchins, David A." }, { "@type": "Person", "name": "Riebesell, Ulf" }, { "@type": "Person", "name": "Rintoul, Max S." }, { "@type": "Person", "name": "Vichi, Marcello" }, { "@type": "Person", "name": "Biswas, Haimanti" }, { "@type": "Person", "name": "Ciotti, Aurea" }, { "@type": "Person", "name": "Gao, Kunshan" }, { "@type": "Person", "name": "Gehlen, Marion" }, { "@type": "Person", "name": "Hurd, Catriona L." }, { "@type": "Person", "name": "Kurihara, Haruko" }, { "@type": "Person", "name": "McGraw, Christina M." }, { "@type": "Person", "name": "Navarro, Jorge M." }, { "@type": "Person", "name": "Nilsson, G\u00f6ran E." }, { "@type": "Person", "name": "Passow, Uta" }, { "@type": "Person", "name": "P\u00f6rtner, Hans\u2010Otto" } ], "keywords": [ "Multiple drivers", "Stressors", "Science policy", "Marine biosphere", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1542", "name": "Impact and Outcomes of Marine Sampling Best Practices.", "description": " - In 2017, the NESP Marine Biodiversity Hub committed to developing field manuals for selected marine sampling platforms to ensure that data collected at different times and places across Australia are directly comparable. Ultimately, 136 individuals from 53 organisations contributed to the Field Manuals for Marine Sampling in Australian Waters released in 2018 (Version 1) and 2020 (Version 2). These field manuals are underpinned by a highly collaborative and iterative process, involving extensive community consultation and review and can thus be considered best practices. In this report, we aim to compile the outcomes of these marine sampling best practices. These outcomes are then integrated into an impact assessment based on the CSIRO Impact Framework. Due to the short period in which the best practices have existed, impact cannot yet be fully assessed, but we lay the foundations to facilitate such an assessment in the future. Overall, the marine sampling best practices are spreading nationally and internationally, as evidenced by uptake and adoption, including by industry (e.g. Woodside) and developing countries (e.g. St Lucia). Australia and the Unites States represent countries with the most downloads, and highest uptake seems to be for the survey design, benthic BRUV, pelagic BRUV, and multibeam manuals. In addition, the best practices have received community endorsement, with recommendations from key national and international organisations (e.g. Parks Australia, Global Ocean Observing System (for the BRUV manual), National Offshore Petroleum Safety and Environmental Management Authority). We anticipate several social, economic, and environmental impacts of the best practices to be measurable in 5-10 years after the release of the best practices (i.e. after 2025). For any single survey, the impact of these best practices may be small, but there is much stronger impact when considering a national perspective, as combined multiple datasets from multiple surveys allow us to see the bigger spatial and temporal picture. In this case, standardised datasets can be combined without the fear of confounding between method-of-observation and ecological signal. Thus, a series of compatible surveys are needed before they can be usefully combined, and the true impact of these best practices will not be felt for years, or maybe even decades. Ultimately, the measures of outcome and impact described in this report will help strengthen the links between marine observing communities and policy-making communities by ensuring that timely and fit-for-purpose information is generated for evidence-based decisions. - , - National Environmental Science Programme - Department of Agriculture, Water and the Environment - , - Published - , - Refereed - , - Current - , - 2 - , - 13 - , - 14.A - , - 15 - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1542", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1542", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1542", "url": "https:\/\/hdl.handle.net\/11329\/1542" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Foster, Scott D" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Gibbons, Brooke" }, { "@type": "Person", "name": "Monk, Jacquomo" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine Biodiversity Hub" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/517", "name": "Why Ocean Colour? The Societal Benefits of Ocean-Colour Technology.", "description": " - The concentration of chlorophyll in the ocean (or in fresh water) is an index of phytoplankton biomass, and is an important property that can be monitored through ocean colour radiometry (OCR) by Earth-orbiting spacecraft. OCR has revolutionised the field of biological oceanography, and made important contributions to biogeochemistry, physical oceanography, ocean-system modelling, fisheries oceanography and coastal management. This report illustrates the many applications of data acquired by remote sensing of ocean colour, in both the research and operational arena, demonstrating the benefits to society of investment in ocean-colour technology. Ocean colour is a key requirement in Earth observation. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: James Acker, Ichio Asanuma, Stewart Bernard, Paula Bontempi, Christopher Brown, Gordon Campbell, Heidi Dierssen, Paul DiGiacomo, Roland Doerffer, Mark Dowell, Stephanie Dutkiewicz, Gene Feldman, Robert Frouin, Jim Gower, Nicolas Hoepffner, Joji Ishizaka, Samantha Lavender, Mervyn Lynch, John Marra, Fr\u00e9d\u00e9ric M\u00e9lin, Jesus Morales, Hiroshi Murakami, Shailesh Nayak, Simon Pinnock, Grant Pitcher, Trevor Platt, Peter Regner, Ian Robinson, Toshiro Saino, Shubha Sathyendranath, B. Mete Uz, Cara Wilson and James Yoder. - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/517", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/517", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/517", "url": "https:\/\/hdl.handle.net\/11329\/517" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/869", "name": "Guidelines for reporting ocean acidification data in scientific journals. Version 1.1, 2015-03-06b.", "description": " - This document was prepared in the framework of the data management activity of the Ocean Acidification International Coordination Centre of the International Atomic Energy Agency (OAICC; www.iaea.org\/ocean-acidification). Please contact the first author (gattuso@obs-vlfr.fr) in case of any error or omission. It is primarily based on Dickson et al. (2007), Dickson (2010), Nisumaa et al. (2010), Pesant et al. (2010), P\u00f6rtner et al. (2010) and Orr et al. (2015). To ensure reproducibility, it is critical to report at least two variables of the carbonate system of seawater as well as salinity, temperature, and the hydrostatic pressure (if the measurements were not performed at atmospheric pressure). In addition, authors should report concentrations of total dissolved inorganic phosphorus as well as total dissolved inorganic silicon (in \u00b5mol kg-1) whenever possible - , - Published - , - Current - , - 14.3 - , - Inorganic carbon - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/869", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/869", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/869", "url": "https:\/\/hdl.handle.net\/11329\/869" }, "author": [ { "@type": "Person", "name": "Gattuso, Jean-Pierre" }, { "@type": "Person", "name": "Garcia, Hernan" }, { "@type": "Person", "name": "Hoppe, Clara J. M." }, { "@type": "Person", "name": "Orr, James" }, { "@type": "Person", "name": "P\u00f6rtner, Hans-Otto" }, { "@type": "Person", "name": "Yang, Yan" } ], "contributor": [ { "@type": "Organization", "name": "IAEA, Ocean Acidification International Coordination Centre" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/580", "name": "Water Level and Wave Height Estimates at NOAA Tide Stations from Acoustic and Microwave Sensors.", "description": " - The National Oceanic and Atmospheric Administration (NOAA) Center for Operational Oceanographic Products and Services (CO-OPS) is transitioning the primary water level sensor at the majority of tide stations in the National Water Level Observation Network (NWLON) from an acoustic ranging system to a microwave radar system. The primary motivation for this transition is the significant reduction in infrastructure and maintenance costs associated with the microwave sensor, which in ice-free conditions requires no contact with the water surface. The acoustic system requires a protective well that extends from above the highest water level to below the lowest water level and system maintenance requires disassembly, cleaning and dive operations. Installation of a new acoustic system requires nontrivial infrastructure to support the protective well. To assess the relative performance of these two sensor systems, CO-OPS initiated a program to compare performance of the acoustic and microwave systems at operational NWLON stations finding statistically equivalent performance at sites with little or no wave energy. At sites with wave energy (expressed in the standard deviation statistic of the water level estimate) a persistent bias was noted with acoustic water level estimates lower than that of the microwave sensor. This report is the culmination of a study to identify and assess these differences. Water level data from acoustic and microwave sensors covering a period of 19 months at tide stations on both the Atlantic and Pacific coasts are analyzed. Comparison of the acoustic and microwave data reveals that the majority of differences are accounted for by errors in the acoustic system, primarily from undiagnosed temperature gradients and wave-induced water level draw-down. It is also demonstrated that water level resonance inside the acoustic protective well can distort the water level spectral variance, and that the microwave sensor captures water level variability with higher fidelity than the acoustic system when waves are present. The overall results indicate that the microwave sensor is better suited than the acoustic system for water level measurement in locations where temperature differences between the sensor and water are significant or where waves or tidal flows draw down water levels inside the well. We also note that wave height estimates as envisioned by the Integrated Ocean Observing System (IOOS) National Operational Wave Observation Plan (2009) using the NWLON standard deviation statistic are more accurately rendered with the microwave sensor than with the acoustic system. It should be noted that the results of this study do not constitute a general recommendation to replace acoustic sensors with microwave sensors. Just as the acoustic system has limitations from temperature and hydraulic draw-down effects, microwave sensors have limitations such as sidelobe interference, false targets and signal scattering from heavy rain. Such an assessment is a site-specific determination, and should include long term comparisons of sensor data. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/580", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/580", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/580", "url": "https:\/\/hdl.handle.net\/11329\/580" }, "author": [ { "@type": "Person", "name": "Park, J." }, { "@type": "Person", "name": "Heitsenrether, R." }, { "@type": "Person", "name": "Sweet, W.V." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Water level", "Wave height sensors", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1682", "name": "CTD Data Processing Protocol.", "description": " - Please note, the processing methods described use SIO-CalCOFI-developed software (DECODR & BtlVsCTD) to merge and correct Seabird 911+ CTD data with bottle samples. The Seasoft portion of our data processing protocol follow their recommended settings for our 911+ v2 CTD & deck unit. \"Sta.csvs\" are bottle data collected at each station cast combined with 1m binavg CTD data from matching bottle depths (~20). Preliminary comparisons & plots of CTD sensor data versus bottle data are generated after each cruise. These comparisons are used to point-check the bottle data and QC the CTD sensor data. Once final bottle data are generated, eliminating fliers & mistrips, a final comparison of 1m binavg CTD to bottle data is performed. This generates final CTD data csv files for each cast that contain 1m binavg Seasoft-processed CTD sensor data, bottle-corrected Seasoft-processed CTD sensor data, and final bottle data. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1682", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1682", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1682", "url": "https:\/\/hdl.handle.net\/11329\/1682" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2070", "name": "Expanding the scientific basis for how the world can monitor and manage natural resources.", "description": " - This D.Sc. thesis presents research into the theory, practice, application and results of \u2018citizen science\u2019 as applied in the developing world (Africa, South East Asia, Latin America) and in the Arctic (Greenland). It focuses on the opportunities of engaging local community members in natural resource monitoring and management in those areas of the world where \u2018citizen science\u2019 was previously widely believed to be impossible. Using theoretical, experimental and real-world case examples, the thesis defines the existing types of natural resource monitoring system and examines the potential of locally-based approaches: (i) to provide high-quality information, (ii) to empower local people in natural resource management, and (iii) to impact on livelihood and biodiversity. The main results are summarized below. 1. DEVELOPMENT OF TYPOLOGY. A typology of monitoring approaches is proposed for the natural world. Five categories of monitoring are described, ranging from efforts where monitoring is undertaken solely by professional researchers to entirely local efforts with all the work undertaken by local people. This continuum of monitoring approaches largely mirrors the devolution of management responsibility in different approaches to natural resource management. 2. QUALITY OF INFORMATION. In vegetation plots in five major forest types, community members\u2019 measurements of tree circumference were of comparative quality to that of trained scientists. Likewise, during foot patrols at study sites across all three tropical continents, experienced forest product collectors with limited formal reading and writing skills produced results similar to those of trained scientists on the status of and trends in species and natural resources. Moreover, in two case examples, findings from community-led focus group discussions on the abundance of natural resources corresponded closely with similar results from trained scientists\u2019 field surveys. 3. POTENTIAL FOR EMPOWERMENT. The awareness about the opportunities that local communities now have for being \u2019heard\u2019 can create the motivation that is needed for the community members to demonstrate their ability to act and themselves monitor the state of their environment and make responsible decisions. Natural resource monitoring where community members collect, process and interpret data and where the monitoring activities are integrated with existing natural resource governance systems, can contribute to political, social and economic dimensions of empowerment of the community members in natural resource management. 4. LIVELIHOOD AND BIODIVERSITY IMPACTS. Whereas scientists may still play a major role in influencing international and national conventions and regulations, locally-based approaches to natural resource monitoring can be more effective when it comes to generating local natural resource management interventions with the potential to impact on livelihood and biodiversity. Decisions from locally-based approaches to natural resource monitoring tend to be taken at the local, operational levels of resource management, where they involve the people who face the daily consequences of environmental changes. 5. FUTURE POTENTIAL. Locally-based approaches to natural resource monitoring have considerable potential for improving understanding of environmental changes as well as for improving the management of natural resources. \u2018Citizen scientists\u2019 may be the only feasible way to understand the changes on the planet with sufficiently dense sampling to build credible models of those factors that cannot be measured by remote sensing. This includes aspects of species abundance change, habitat use and degradation, local-use impacts on biomass and the ecological structure of harvested species and their ecosystems (on land and in the sea), the intensity of pressures on nature, and the introduction of new species. Thematically, locally-based approaches to natural resource monitoring have considerable potential: (i) to connect environmental performance with payment schemes, (ii) in efforts to bring indigenous and local knowledge systems into the science\u2013policy interface, (iii) to inform resource management in rapidly changing environments such as the Arctic, and (iv) in efforts to link international environmental agreements to decision-making in the \u2018real world\u2019. 6. FURTHER STUDY NEEDS. Further research could substantially contribute to transform the way the world tracks changes in species and other natural resources on earth. Five key areas of research are proposed, from social theory on why people participate in these schemes, through analysis of \u2018big data\u2019, to considerations of accuracy and the technological developments necessary to make \u2018citizen science\u2019 approaches and data capture and analysis available to all \u2013 in developed and developing nations. - , - Published - , - Non Refereed - , - Current - , - 2.1 - , - 2.3 - , - 2.4 - , - 3.4 - , - 14.2 - , - 14.4 - , - 15.1 - , - 15.2 - , - 15.4 - , - 15.5 - , - 15.7 - , - 15.9 - , - 16.6 - , - 16.7 - , - 16.10 - , - 17.16 - , - 17.17 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Methodological commentary\/perspect - , - Reports with methodological relevance - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2070", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2070", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2070", "url": "https:\/\/hdl.handle.net\/11329\/2070" }, "author": [ { "@type": "Person", "name": "Danielsen, Finn" } ], "contributor": [ { "@type": "Organization", "name": "University of Copenhagen, and NORDECO (Nordic Foundation for Development and Ecology)" } ], "keywords": [ "Adaptive management", "Citizen Science", "Natural resource management", "Observing system", "Nature-based solutions", "Human activity", "Habitat", "Fisheries", "Terrestrial", "Cross-discipline", "Data acquisition", "Data analysis", "Data management planning and strategy development", "Data archival\/stewardship\/curation", "Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1943", "name": "A framework for co-production of knowledge in the context of Arctic research.", "description": " - The Arctic has been home to Indigenous Peoples from time immemorial. Distinct Indigenous worldviews and complex knowledge systems have been passed on from generation to generation, evolving over time in a living process that continues to this day. Indigenous Peoples' knowledge systems hold methodologies and assessment processes that provide pathways for knowing and understanding the Arctic, which address all aspects of life, including the spiritual, cultural, and ecological, all in interlinked and supporting ways. For too long, Indigenous Peoples of the Arctic and their knowledges have not been equitably included in many research activities. We argue for systematic change in how research-related activities are conducted in the Arctic. Bringing together multiple knowledge systems, specifically Indigenous Peoples' knowledge systems and science, can lead to more equitable, inclusive, and useful outcomes. The co-production of knowledge framework that we forward is designed to assist researchers, decision makers, and communities in moving toward those goals. Given increased interest in the Arctic by the research community, the complex, rapid, and ongoing change in Arctic systems, and amidst renewed and urgent calls for equity globally and across all spheres of life, adoption of a co-production of knowledge framework for the conduct of Arctic research is timely as well as a moral and intellectual imperative. Further, solutions to challenges facing the Arctic and global community are enhanced by the combined understanding of Indigenous Peoples' knowledges and science. - , - Refereed - , - Imukenirnek Negeq likacagaat [makuni igani \"Arctic\"] nutem tamakumiunek ciulialget nunaketuit. Ukanirpak nutem tamakumiunek ciulialget ukveruciteng ellameng-llu tungiinun elitelteng kinguvallrukait piinanermeggni man'a engelkarrluku cimirturluteng. Nutem Negeqlikacaarmiunek ciulialget elitellermegteggun nunameng tungiitnun nallunritlerkameggnun yuvrillerkameggnun-llu piyararluteng kangingnauryararluteng-llu, yuucimeggni tamalkuita cat yuita, piciryarameng, ellam-llu tungiinun atunem ilakluki. Ukanirpak nutem Negeqlikacaarmiunek ciulialget elitellrit tapeqluki ilangcinrilkurtessiyaagluki kangingnautuut. Negeqlikacaarni Kass'at kangingnauryaraita piciryarait cimiisqumaaput. Ayuqenrilnguut elitellritgun, arcaqerluki nutem Negeqlikacaarmiunek ciulialget Kass'at-llu kangingnauryarait tapeqluki, atunem pitallgutekluki kinkunun cangallrunrilngurnek, ilakuralrianek, atuunruarkaulrianek-llu kingungqerrarkauluteng. Yuullgutkenrilnguut Negeqlikacaarmiunek ciulialget Kass'at-llu elitellritgun atunem caliyaraq, makut igaqeput tamatum tungiinun ikayuutnguarkauluteng. Kangingnaurtet caungengatki Negeqlikacagaat, tamakumiuni-llu ayuqenrilngurteggun cukamek cimirturalriit, cali-llu ellam tamiini yuut tamalkuita pitalkelluki pisqen\u0301gatki, ayuqenrilnguut elitellritgun atunem caliyaraq Negeqlikacaarni pinariluni, elluarluni, elitnaulrianun-llu nancunaunani. Cali-llu Negeqlikacagaat ellam-llu tamiini arenqiallugutaita kitugutkait, atunem nutem Negeqlikacaarmiunek ciulialget Kass'at-llu kangingnauryarateng aturluki elluanruut. Cali-llu Negeqlikacagaat ellam-llu tamiini arenqiallugutaita kitugutkait, atunem nutem Negeqlikacaarmiunek ciulialget Kass'at-llu kangingnauryarateng aturluki elluanruut. - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1943", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1943", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1943", "url": "https:\/\/hdl.handle.net\/11329\/1943" }, "author": [ { "@type": "Person", "name": "Ellam Yua" }, { "@type": "Person", "name": "Raymond-Yakoubian, Julie" }, { "@type": "Person", "name": "Daniel, Raychelle Aluaq" }, { "@type": "Person", "name": "Behe, Carolina" } ], "keywords": [ "Co-production of knowledge", "Ellam Yua", "Equity", "Indigenous knowledge", "Partnerships", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2354", "name": "Handbook of Survey Methodology Plastics Leakage (developed for CSIRO Global Plastic Pollution Baseline Project). Version 1.4.", "description": " - We are using field sampling to measure, and mathematical modelling to estimate, the distribution and movement of plastic waste near urban centres, along waterways, on the coastline and in the ocean. We are designing robust sampling plans tailored for each country involved. These plans can be adapted for other participating countries. These data will comprise a comprehensive dataset of plastics on land, along rivers, at the coastal interface, and in the ocean for major coastal cities around the world. We will use these data with statistical models to produce maps that highlight the plumes of plastic emerging from urban centres and nearby areas. We will then estimate the amount of plastic from the plumes that is lost to the open ocean or redeposited back to land. This Handbook provides detail on the various survey methodologies used by CSIRO\u2019s team that focus on plastic pollution on land and at sea \u2013 in upland, riverine, coastal and marine environments. We invite you to follow our methodologies in order to develop consistent, robust datasets across various geographies that can be used in understanding waste or debris flows from land to the ocean. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2354", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2354", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2354", "url": "https:\/\/hdl.handle.net\/11329\/2354" }, "author": [ { "@type": "Person", "name": "Schuyler, Qamar" }, { "@type": "Person", "name": "Willis, Kathy" }, { "@type": "Person", "name": "Lawson, T.J." }, { "@type": "Person", "name": "Mann, Vanessa" }, { "@type": "Person", "name": "Wilcox, Chris" }, { "@type": "Person", "name": "Hardesty, Britta Denise" } ], "contributor": [ { "@type": "Organization", "name": "CSIRO Oceans and Atmosphere" } ], "keywords": [ "Marine debris", "Marine plastics", "Debris surveys", "Survey methodology", "Marine litter", "Beach clean up", "Plastic leakage", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/490", "name": "Processing bio-Argo chlorophyll-A concentration at the DAC level. Version 1.0. 30 September 2015.", "description": " - This document does NOT address the issue of chlorophyll-a quality control (either real-time or delayed mode). As a preliminary step towards that goal, this document seeks to ensure that all countries deploying floats equipped with chlorophyll-a sensors document the data and metadata related to these floats properly. We produced this document in response to action item 3 from the first Bio-Argo Data Management meeting in Hyderabad (November 12-13, 2012). If the recommendations contained herein are followed, we will end up with a more uniform set of chlorophyll-a data within the Bio-Argo data system, allowing users to begin analyzing not only their own chlorophyll-a data, but also those of others, in the true spirit of Argo data sharing. - , - Published - , - Refereed - , - Ce document ne traite pas le contr\u00f4le qualit\u00e9 de la chlorophylle-a (en temps r\u00e9el ou diff\u00e9r\u00e9). Il est une \u00e9tape pr\u00e9liminaire \u00e0 cet objectif; il est destin\u00e9 aux \u00e9quipes qui d\u00e9ploient des flotteurs bio-Argo \u00e9quip\u00e9s de capteurs de chlorophylle-a pour qu\u2019elles documentent leurs donn\u00e9es et m\u00e9tadonn\u00e9es correctement. Nous avons produit ce document en r\u00e9ponse \u00e0 l'action 9 de la premi\u00e8re r\u00e9union Bio-Argo gestion de donn\u00e9es d'Hyderabad (12-13 novembre 2012). Si les recommandations de ce document sont adopt\u00e9es, la communaut\u00e9 bio-Argo pourra produire un jeu de donn\u00e9es de chlorophylle-a de particules homog\u00e8ne, qui permettra l'analyse des donn\u00e9es des diff\u00e9rentes \u00e9quipes, dans l'esprit de partage de donn\u00e9es Argo. - , - Current - , - Nutrients - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/490", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/490", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/490", "url": "https:\/\/hdl.handle.net\/11329\/490" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" }, { "@type": "Person", "name": "Boss, Emmanuel" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Bio-Argo", "Chlorophyll-A", "Parameter Discipline::Biological oceanography::Pigments", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/918", "name": "Seamap Australia [Version 1.0] the development of a national benthic marine classification scheme for the Australian continental shelf.", "description": " - The Australian National Data Service (ANDS) High Values Collection (HVC) program has funded the establishment of an Australian seabed habitat classification scheme and spatial database \u201cSeamap Australia\u201d. Seamap Australia collates all national benthic habitat mapping data into one location on the Australian Ocean Data Network (AODN) complete with metadata records; synthesises these datasets into one spatial data product using a newly proposed national benthic marine classification scheme for the Australian continental shelf; and enables visualisation and download capacity via a web interface (http:\/\/www.seamapaustralia.org) to the Seamap Australia synthesis layer, all original collated benthic habitat mapping datasets, and a sample selection of biological data overlays. The ongoing benefits of the Seamap Australia classification scheme and spatial data product will facilitate national collaborations for benthic research, establish a common seabed mapping vocabulary and encourage a nationally consistent approach for Australian seabed mapping into the future. We anticipate that Seamap Australia will facilitate national scale cross-disciplinary studies of continental shelf habitats. It is our intent that, by collating all the available marine habitat mapping datasets into a single viewing interface (http:\/\/www.seamapaustralia.org) and promoting and extending availability of these through the AODN Portal, institutions will work collaboratively to address nationwide solutions. This High Value Collection (HVC #19) provides a resource for researchers to share their marine habitat data through the AODN into the future, so that as the resource grows, there will be continuous improvement in the knowledge of Australia\u2019s marine estate. - , - Australian National Data Service (ANDS) - , - Published - , - Current - , - 14.5.1 - , - Hard coral cover and composition - , - Seagrass cover and composition - , - Macroalgal canopy cover and composition - , - Mangrove cover and composition - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/918", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/918", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/918", "url": "https:\/\/hdl.handle.net\/11329\/918" }, "author": [ { "@type": "Person", "name": "Butler, Claire" }, { "@type": "Person", "name": "Lucieer, Vanessa" }, { "@type": "Person", "name": "Walsh, Peter" }, { "@type": "Person", "name": "Flukes, Emma" }, { "@type": "Person", "name": "Johnson, Craig" } ], "contributor": [ { "@type": "Organization", "name": "The Institute for Marine and Antarctic Studies, University of Tasmania" } ], "keywords": [ "Benthic habitat", "Seabed", "Parameter Discipline::Environment", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::multi-beam echosounders", "Instrument Type Vocabulary::single-beam echosounders", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Data acquisition", "Data Management Practices::Data interoperability development", "Data Management Practices::Data quality management", "Data Management Practices::Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/117", "name": "Guide to the Global Observing System, 2010 edition Updated in 2012.", "description": " - meteorological practices and procedures; guides - , - The main purpose of the Guide is to provide practical information on the development, organization, implementation and operation of the Global Observing System in order to enhance both the participation of individual Members in the System and the benefits they may obtain from it. The Guide explains and describes Global Observing System practices, procedures and specifications and is aimed at assisting the technical and administrative staff of National Meteorological Services responsible for the networks of observing stations in preparing national instructions for observers. The first edition of the Guide on the Global Observing System was completed in 1977 as the result of a decision adopted by the WMO Commission for Basic Systems at its sixth session, held in Belgrade in 1974. Since then, it has undergone a number of revisions and amendments. These have been consolidated into this new revised edition. The present edition contains the amendments adopted by the Commission for Basic Systems at its fourteenth session held in Dubrovnik, Croatia, from 25 March to 2 April 2009, as included in the annexes to Recommendations 2 (CBS-XIV) and 3 (CBS-XIV), and endorsed by the Executive Council at its sixtyfirst session in June 2009 in Resolution 6 (EC-LXI). The Guide supplements the regulatory material on observational matters contained in the Technical Regulations (WMO-No. 49) and the Manual on the Global Observing System (WMO-No. 544) and, for ease of reference, follows roughly the same structure as the Manual. The Guide also complements the Guide to Meteorological Instruments and Methods of Observation (WMO-No. 8), while the Guide on the Global Data-processing System (WMO-No. 305) is used to complement the present Guide. - , - http:\/\/library.wmo.int\/opac\/index.php?lvl=notice_display&id=12516 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/117", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/117", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/117", "url": "https:\/\/hdl.handle.net\/11329\/117" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "keywords": [ "Observing System GOS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1788", "name": "Estimating animal population densities using passive acoustics.", "description": " - Reliable estimation of the size or density of wild animal populations is very important for effective wildlife management, conservation and ecology. Currently, the most widely used methods for obtaining such estimates involve either sighting animals from transect lines or some form of capture-recapture on marked or uniquely identifiable individuals. However, many species are difficult to sight, and cannot be easily marked or recaptured. Some of these species produce readily identifiable sounds, providing an opportunity to use passive acoustic data to estimate animal density. In addition, even for species for which other visually based methods are feasible, passive acoustic methods offer the potential for greater detection ranges in some environments (e.g. underwater or in dense forest), and hence potentially better precision. Automated data collection means that surveys can take place at times and in places where it would be too expensive or dangerous to send human observers. Here, we present an overview of animal density estimation using passive acoustic data, a relatively new and fast-developing field. We review the types of data and methodological approaches currently available to researchers and we provide a framework for acoustics-based density estimation, illustrated with examples from real-world case studies. We mention moving sensor platforms (e.g. towed acoustics), but then focus on methods involving sensors at fixed locations, particularly hydrophones to survey marine mammals, as acoustic-based density estimation research to date has been concentrated in this area. Primary among these are methods based on distance sampling and spatially explicit capture-recapture. The methods are also applicable to other aquatic and terrestrial sound-producing taxa. We conclude that, despite being in its infancy, density estimation based on passive acoustic data likely will become an important method for surveying a number of diverse taxa, such as sea mammals, fish, birds, amphibians, and insects, especially in situations where inferences are required over long periods of time. There is considerable work ahead, with several potentially fruitful research areas, including the development of (i) hardware and software for data acquisition, (ii) efficient, calibrated, automated detection and classification systems, and (iii) statistical approaches optimized for this application. Further, survey design will need to be developed, and research is needed on the acoustic behaviour of target species. Fundamental research on vocalization rates and group sizes, and the relation between these and other factors such as season or behaviour state, is critical. Evaluation of the methods under known density scenarios will be important for empirically validating the approaches presented here. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Species abundances - , - Species distributions - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1788", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1788", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1788", "url": "https:\/\/hdl.handle.net\/11329\/1788" }, "author": [ { "@type": "Person", "name": "Marques, Tiago A." }, { "@type": "Person", "name": "Thomas, Len" }, { "@type": "Person", "name": "Martin, Stephen W." }, { "@type": "Person", "name": "Mellinger, David K." }, { "@type": "Person", "name": "Ward, Jessica A." }, { "@type": "Person", "name": "Moretti, David J." }, { "@type": "Person", "name": "Harris, Danielle" }, { "@type": "Person", "name": "Tyack, Peter L." } ], "keywords": [ "BioICE", "IOOS Marine Life", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1910", "name": "Overview of a new Ocean Glider Navigation System: OceanGNS.", "description": " - Ocean gliders are increasingly a platform of choice to close the gap between traditional ship-based observations and remote sensing from floats (e.g., Argo) and satellites. However, gliders move slowly and are strongly influenced by currents, reducing useful battery life, challenging mission planning, and increasing pilot workload. We describe a new cloud-based interactive tool to plan glider navigation called OceanGNS\u00a9 (Ocean Glider Navigation System). OceanGNS integrates current forecasts and historical data to enable glider route\u2013planning at varying scales. OceanGNS utilizes optimal route\u2013 planning by minimizing low current velocity constraints by applying a Dijkstra algorithm. The complexity of the resultant path is reduced using a Ramer-Douglas Pueckler model. Users can choose the weighting for historical and forecast data as well as bathymetry and time constraints. Bathymetry is considered using a cost function approach when shallow water is not desirable to find an optimal path that also lies in deeper water. Initial field tests with OceanGNS in the Gulf of St. Lawrence and the Labrador Sea show promising results, improving the glider speed to the destination 10\u201330%. We use these early tests to demonstrate the utility of OceanGNS to extend glider endurance. This paper provides an overview of the tool, the results from field trials, and a future outlook. - , - Refereed - , - 14.a - , - N\/A - , - 2021-11-17 - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1910", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1910", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1910", "url": "https:\/\/hdl.handle.net\/11329\/1910" }, "author": [ { "@type": "Person", "name": "von Oppeln-Bronikowski, Nicolai" }, { "@type": "Person", "name": "Zhou, Mingxi" }, { "@type": "Person", "name": "Bahadory, Taimaz" }, { "@type": "Person", "name": "de Young, Brad" } ], "keywords": [ "Ocean glider", "AUV navigation", "Glider path-planning", "Mission planning tool", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1322", "name": "A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System.", "description": " - Rapid Arctic warming drives profound change in the marine environment that have significant socio-economic impacts within the Arctic and beyond, including climate and weather hazards, food security, transportation, infrastructure planning and resource extraction. These concerns drive efforts to understand and predict Arctic environmental change and motivate development of an Arctic Region Component of the Global Ocean Observing System (ARCGOOS) capable of collecting the broad, sustained observations needed to support these endeavors. This paper provides a roadmap for establishing the ARCGOOS. ARCGOOS development must be underpinned by a broadly endorsed framework grounded in high-level policy drivers and the scientific and operational objectives that stem from them. This should be guided by a transparent, internationally accepted governance structure with recognized authority and organizational relationships with the national agencies that ultimately execute network plans. A governance model for ARCGOOS must guide selection of objectives, assess performance and fitness-to-purpose, and advocate for resources. A requirements-based framework for an ARCGOOS begins with the Societal Benefit Areas (SBAs) that underpin the system. SBAs motivate investments and define the system\u2019s science and operational objectives. Objectives can then be used to identify key observables and their scope. The domains of planning\/policy, strategy, and tactics define scope ranging from decades and basins to focused observing with near real time data delivery. Patterns emerge when this analysis is integrated across an appropriate set of SBAs and science\/operational objectives, identifying impactful variables and the scope of the measurements. When weighted for technological readiness and logistical feasibility, this can be used to select Essential ARCGOOS Variables, analogous to Essential Ocean Variables of the Global Ocean Observing System. The Arctic presents distinct needs and challenges, demanding novel observing strategies. Cost, traceability and ability to integrate region-specific knowledge have to be balanced, in an approach that builds on existing and new observing infrastructure. ARCGOOS should benefit from established data infrastructures following the Findable, Accessible, Interoperable, Reuseable Principles to ensure preservation and sharing of data and derived products. Linking to the Sustaining Arctic Observing Networks (SAON) process and involving Arctic stakeholders, for example through liaison with the International Arctic Science Committee (IASC), can help ensure success. - , - Oceanobs'19: An Ocean of Opportunity Community White Paper - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1322", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1322", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1322", "url": "https:\/\/hdl.handle.net\/11329\/1322" }, "author": [ { "@type": "Person", "name": "Lee, C.M." }, { "@type": "Person", "name": "Starkweather, S." }, { "@type": "Person", "name": "Eicken, H." }, { "@type": "Person", "name": "Timmermans, M-L." }, { "@type": "Person", "name": "Wilkinson, J." }, { "@type": "Person", "name": "Sandven, S." }, { "@type": "Person", "name": "Dukhovskoy, D." }, { "@type": "Person", "name": "Gerland, S." }, { "@type": "Person", "name": "Grebmeier, J." }, { "@type": "Person", "name": "Intrieri, J.M." }, { "@type": "Person", "name": "Kang, S-H." }, { "@type": "Person", "name": "McCammon, M." }, { "@type": "Person", "name": "Nguyen, A.T." }, { "@type": "Person", "name": "Polyakov, I." }, { "@type": "Person", "name": "Rabe, B." }, { "@type": "Person", "name": "Sagen, H." }, { "@type": "Person", "name": "Seeyave, S." }, { "@type": "Person", "name": "Volkov, D." }, { "@type": "Person", "name": "Beszczynska-M\u00f6ller, A." }, { "@type": "Person", "name": "Chafik, L." }, { "@type": "Person", "name": "Dzieciuch, M." }, { "@type": "Person", "name": "Goni, G." }, { "@type": "Person", "name": "Hamre, T." }, { "@type": "Person", "name": "King, A.L." }, { "@type": "Person", "name": "Olsen, A." }, { "@type": "Person", "name": "Raj, R.P." }, { "@type": "Person", "name": "Rossby, T." }, { "@type": "Person", "name": "Skagseth, \u00d8." }, { "@type": "Person", "name": "S\u00f8iland, H." }, { "@type": "Person", "name": "S\u00f8rensen, K." } ], "keywords": [ "Sustaining Arctic Observing Network (SAON)", "Autonomous platforms", "Observing system design", "ARCGOOS", "Societal benefit areas", "Global Ocean Observing System (GOOS)", "Essential ocean variables", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1489", "name": "Final report on improved carbon system sensors. WP3 Deliverable 3.9, Version 1.3.", "description": " - WP3 task3.5 developed combined carbonate system sensors to provide contemporaneous measurements to improve carbonate sensor measurements and calculations in coastal observing systems. While each of the three subtasks encountered issues related to development and deployment, three novel systems have been developed for underway operation on moving platforms to improve the observation and characterisation of carbonate system variability in coastal waters. - , - Published - , - Contributors: Sabine Marty, Pierre Jaccard,Wilhelm Petersen, Martina Gehrung, Andreas Hausot, Dan Angelescu, Laurent Delauney - , - Refereed - , - Current - , - 14.A - , - Inorganic carbon - , - Mature - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1489", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1489", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1489", "url": "https:\/\/hdl.handle.net\/11329\/1489" }, "author": [ { "@type": "Person", "name": "King, Andrew" }, { "@type": "Person", "name": "Voynova, Yoana G." }, { "@type": "Person", "name": "Rerolle, Victoire" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "JERICO", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/732", "name": "Performance Verification Statement for Seabird Scientific HydroCycle Phosphate Analyzer.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ nutrient analyzers during 2016 to characterize performance measures of accuracy, precision and reliability. The verification including a week of laboratory testing along with three moored field deployments in freshwater, estuarine, and oceanic coastal environments. Laboratory tests of accuracy, precision, and range were conducted at the University of Maryland\u2019s Chesapeake Biological Laboratory (CBL) in Solomons, MD. A series of five tests were conducted to evaluate performance under controlled challenge conditions including: concentration range, temperature, salinity, turbidity, and dissolved organic carbon. All laboratory tests were conducted in 250 L polypropylene tanks using RO water as the initial matrix, within a temperature controlled room. Instruments sampled from a common, well-mixed, test tank maintained at a documented level of known challenge condition. Instruments were set-up by the manufacturer daily prior to the start of each individual laboratory test, exposed to each test condition for a period of three hours, and programmed to sample at a minimum frequency of 30 minutes. Reference samples were collected every 30 minutes for five timepoints during corresponding instrument sampling times for each test. For the laboratory concentration range challenge the absolute difference between the HydroCycle-PO4 and reference measurement across all timepoints for trials C0 \u2013 C5 ranged from 0.0163 to 0.0145 mgP\/L, with a mean of -0.0039 \u00b10.0090 mgP\/L. A linear regression of the measurement difference versus concentration was not significant (p=0.36; r2=0.03), however measurement offsets were increasingly negative between C0 and C4, at which point there was a large reversal and the offset became positive. An assessment of precision was performed by computing the standard deviations and coefficients of variation of the five replicate measurements for C1 \u2013 C5 concentration trials. The standard deviation of the mean ranged from 0.0005 to 0.0020 mgP\/L across the five trials, and the coefficient of variation ranged from 0.14 to 5.78 percent. For the laboratory temperature challenge at 5 oC, the absolute difference between instrument and reference measurement across all timepoints for trials C2 \u2013 C4 ranged from -0.0140 to -0.0046 mgP\/L, with a mean of -0.0087 \u00b10.0032 mgP\/L. Measurement differences were significantly different for the C2 and C4 trials at 5 versus 20 oC, but the temperature effect was in the opposite direction between those trials. The measurement difference at C3 was nearly identical for the two temperatures. Therefore no clear pattern of a temperature effect on accuracy was observed. For the laboratory salinity challenge performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the three added salinity levels ranged from -0.0124 to 0.0086 mgP\/L, with a mean of -0.0018 \u00b10.0053 mgP\/L. There was a statistically significant response to increased salinity with the offsets increasing in a positive direction as salinity increased. A linear regression of the measurement differences versus salinity (p<0.0001; r2=0.70) had a slope of 0.0005 and intercept of- 0.013. The average offset at a salinity of 30 was 0.015 mgP\/L higher than at zero salinity. For the laboratory turbidity challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added turbidity levels ranged from -0.0226 to - 0.0113 mgP\/L, with a mean of -0.0170 \u00b10.0047 mgP\/L. A linear regression of the measurement differences versus turbidity was significant (p=0.0001; r2=0.68), with a slope of -0.0005 and intercept of -0.010, however the trend line was clearly forced by the large decrease at 100 NTU where the offset was 0.009 mgP\/L more negative (under-predicted) than results observed at the 0 and 10 NTU trials. For the laboratory DOC challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added DOC levels ranged from -0.0112 to -0.0074 mgP\/L, with a mean of -mgP\/L. A linear regression of the measurement differences versus DOC concentration was highly significant (p=0.0005; r2=0.62) with a slope of 0.0002 and intercept of -0.013. The measurement difference generally became less negative as DOC concentration increased. A 32 day field deployment occurred from May 26 through June 27 in the Maumee River, at the facilities of the Bowling Green, Ohio Water Treatment Plant. The HydroCycle-PO4 operated continuously during the entire 32 day deployment sampling at hourly intervals, but of the 763 possible data points 666 were flagged by the instrument as bad. Accepting the flagged data, and omitting 131 outliers (<-0.004 or >0.250), the HydroCycle-PO4 generated 632 observations out of a possible 763 for a data completion result of 82.8%. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=43 of a possible 51 observations) over the total deployment was -0.022 \u00b1 0.029 mgP\/L with a total range of -0.110 to 0.033 mgP\/L. There was no significant trend in the measurement difference over time as estimated by linear regression (p= 0.20; r2=0.04). A linear regression of instrument versus reference measurement was not significant (p=0.93; r2 = 0.0002) and the HydroCycle-PO4 generally under-predicted concentrations. An 84 day moored field test was conducted in Chesapeake Bay from July 18 to October 10, 2016. The HydroCycle-PO4 had issues communicating with the datalogger, and lost data for the first two days of the deployment. The instrument then stopped reporting data on 9\/19 due to the power cable getting frayed by rubbing against the floating dock. The HydroCycle reported 728 of a possible 730 measurements while operational. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=71 of a possible 103 observations) over the total deployment was -0.005 \u00b10.005 mgP\/L, with the total range of differences between -0.018 to 0.003 mgP\/L. There no significant trend in measurement difference over time as estimated by linear regression (p=0.89; r2=0.0003) over the deployment period. A linear regression of the data was significant (p<0.0001; r2 = 0.56), but with a slope of only 0.459 and intercept of 0.003. The HydroCycle-PO4 did not accurately measure concentrations above 0.015 mgP\/L. A one month long moored field test was conducted in Kaneohe Bay from October 3, 2016 to November 2, 2016. The HydroCycle-PO4 operated successfully for the entire 29 days of the deployment sampling at hourly intervals, and returning 720 of a possible 720 measurements for a data completion result of 100%. However one value was omitted as an outlier due to its value being more than 3x higher than the maximum reference value. The average and standard deviation of the differences between instrument and reference readings over the entire deployment (n=70 out of a possible 71) was -0.0025 \u00b1 0.0012 mgP\/L, with a total range in the differences of -0.0048 to 0.0003 mgP\/L. There was a small but statistically significant trend in the measurement difference over time (p<0.0001; r2 = 0.54) during the deployment, with a slope of -0.0001 mgP\/L\/d. A linear regression of instrument versus reference measurements was not significant (p=0.065; r2 = 0.063) and HydroCycle-PO4 did not accurately differentiate concentrations within this fairly narrow 0.004 mgP\/L range. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/732", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/732", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/732", "url": "https:\/\/hdl.handle.net\/11329\/732" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "McManus, M." }, { "@type": "Person", "name": "Walker, G." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/537.3", "name": "American Academy of Underwater Sciences Standards for Scientific Diving Manual.", "description": " - The purpose of these Scientific Diving Standards is to ensure scientific diving is conducted in a manner that will maximize the protection of scientific divers from accidental injury and\/or illness, and to set forth standards for training and certification that will allow a working reciprocity between Organizational Members (OMs or OM). Fulfillment of these purposes shall be consistent with the furtherance of research and safety, and facilitation of collaborative opportunities between AAUS OMs. This Manual sets minimum standards for the establishment of American Academy of Underwater Sciences (AAUS) recognized scientific diving programs, the organization for the conduct of these programs, and the basic regulations and procedures for safety in scientific diving operations. It also establishes a framework for reciprocity between AAUS OMs that adhere to these minimum standards. - , - Published - , - Refereed - , - Current - , - Mature - , - Best Practice - , - Guide - , - Multi-organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/537.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/537.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/537.3", "url": "https:\/\/hdl.handle.net\/11329\/537.3" }, "contributor": [ { "@type": "Organization", "name": "American Academy of Underwater Sciences (AAUS)" } ], "keywords": [ "Scientific diving", "Diving regulations", "Diving equipment", "Scuba", "Certification", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/735", "name": "Performance Verification Statement for the BW680 Fluorometer (Hach).", "description": " - In an effort to mitigate the risk of transporting aquatic nuisance species, the United States Coast Guard (USCG) has finalized a rule limiting the concentrations of organisms in ships\u2019 ballast water discharged into US ports (US Coast Guard 2012). The specified concentrations are nearly identical (with the exception of not including limits for Vibrio cholerae in zooplankton samples) to those in the International Maritime Organization\u2019s (IMO) convention (IMO 2004). Further, the limits are consistent with those in the US Environmental Protection Agency\u2019s Vessel General Permit (VGP)\u2014regulations on a suite of vessel operations, including the discharge of ballast water (US EPA 2013). In order to meet these limits, most ships will use a ballast water management system (BWMS). These systems incorporate a variety of technologies (including filtration, UV radiation, electrolytic chlorination, and deoxygenation) to ensure that the discharge water meets the specifications. Determining concentrations of living organisms can require extensive effort and sensitive equipment, especially for sparse populations. For example, direct counts of living organisms \u226510 and <50 \u00b5m according to the method stipulated in the US Environmental Technology Verification (ETV) Program Protocol for land-based testing of BWMS requires (1) labeling organisms within a sample with a set of vital fluorophores and (2) tallying the organisms via epifluorescence microscopy (EPA 2010; Steinberg et al. 2011). Direct counts of living organisms yield concentrations comparable to the numerical standard. While this rigorous, complex, and time-consuming analysis is appropriate for verification testing of BWMS, it is typically not feasible to perform this analysis during routine shipboard inspections. Rather, simple, hand-held, field instruments (\u201ccompliance tools\u201d)\u2014with the ability to rapidly assess that the ballast water clearly exceeds the discharge limits\u2014will be of much greater value to the ship owner, the BWMS vendor, and the compliance officer. Compliance tools should immediately produce results that are reliable indicators of the concentrations of living organisms within a regulated size class and predict whether a sample meets or exceeds the discharge standard. New or refined compliance tools require carefully considered test protocols for evaluating and verifying their performance. The overall goal of this technology verification was to evaluate the performance of potential compliance tools designed to rapidly assess ballast water discharge. The outputs of the compliance tools were compared to the standard, validated approach (i.e. epifluorescence microscopy; EPA 2010) used to quantify organisms \u226510 and <50 \u00b5m in size during verification testing of BWMS. The objectives outlined below support this goal: \u2022 In a series of laboratory trials to be conducted at the Naval Research Laboratory in Key West, FL (NRL), determine linearity, precision and accuracy of the compliance tool with samples of algal monocultures over a range of concentrations, including concentrations below, equal to, and above the IMO and US discharge standard. \u2022 Evaluate the relationship between numerical concentrations of living organisms \u226510 and <50 \u00b5m and the accuracy and precision of the instrument using ambient organismscollected from natural waters at three various locations (Key West, Chesapeake Bay, and Lake Superior). - , - Published - , - Refereed - , - Current - , - Zooplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/735", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/735", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/735", "url": "https:\/\/hdl.handle.net\/11329\/735" }, "author": [ { "@type": "Person", "name": "First, M.R." }, { "@type": "Person", "name": "Riley, S.C." }, { "@type": "Person", "name": "Robbins-Wamsley, S.H." }, { "@type": "Person", "name": "Molina, V." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Reavie, E." }, { "@type": "Person", "name": "Carney, K." }, { "@type": "Person", "name": "Moser, C.S." }, { "@type": "Person", "name": "Buckley, E.N." }, { "@type": "Person", "name": "Tamburri, M.N." }, { "@type": "Person", "name": "Drake, L.A." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/376", "name": "Reference-Quality Water Sample Data: Notes on Acquisition, Record Keeping, and Evaluation.", "description": " - Generating reference-quality water sample data involves procedures learned over years of experience. Some simple-to-implement aspects of practice do, however, lead to improved reliability and documentation of water sample data. These include: \u2022 For water sample data verification of the collection depth and unambiguous association of that depth with a unique sample identifier, understanding the degree to which the water which issued from the sampling spigot matched the characteristics of the ambient water from the collection level, verification that all data values associated with a water sample are correctly matched to the water sample identifier, and determination if the values for each parameter are correct. \u2022 Data evaluation must begin at sea. This is usually the only time all involved personnel and all records are together. Also, it is possible then to correct repetitive problems before they can further degrade the data. \u2022 The care of the data analyst and access to complete records are in general more important than the specific scheme of data evaluation. \u2022 The analyst must determine if the appropriate standards were met by the bulk of the data. Emphasis should be placed on adherence to proven, documented methodology over agreement with historical data. Quality standards should be applied consistently. \u2022 The analyst determines which data values are suspect, partly by identifying outliers and assessing their severity and cause, or finding that the anomalies are likely genuine. Suspicion of a data problem based on a data value alone, without probable cause for an erroneous value, should normally not of itself be cause to demote the quality of a value. \u2022 Apparent problems should be corrected if possible. 1 \u2022 The analyst's report and a report of subsequent actions must be archived. These should be added to a data report which also contains ancillary information about the cruise, a summary of data acquisition and processing methodology, data quality information, and a complete list of contacts for further information regarding the cruise, methodology, and the data. - , - Published - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/376", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/376", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/376", "url": "https:\/\/hdl.handle.net\/11329\/376" }, "author": [ { "@type": "Person", "name": "Swift, J.H" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/621", "name": "IEC\/ISO Bow-tie analysis of marine legislation: a case study of the Marine Strategy Framework Directive.", "description": " - Marine planning and coastal zone management require an understanding of the policy context (Cormier et al., 2015) that addresses ecosystem, cultural, social, economic, and legal aspects (Barnard and Elliott, 2015). Policy includes a suite of agreements, legislation, and interpretations that are enabled by policy- making processes and public feed-back (Ehler and Douvere, 2009) , while being informed by scientific and technical knowledge. However, a plan requires the implementation of management measures to carry into effect the objectives set in the said plan (Elliott et al., 2017). It is through leg- islation, regulations, standards, and guidelines that such measures are implemented within an operational context designed to meet expected outcomes to achieve the objectives of the plan and ultimately reach the goals of the policy (Cormier et al., 2017). Without a comprehensive suite of management measures to reduce the pressures that result from human activities, cumulative effects cannot be adequately prevented, leaving protection and conservation measures as the only option to mitigate the effects (Stelzenm\u00fcller et al. , 2018). Outside the changes resulting from continuously evolving natural processes, the premise, here, is that cumulative effects reflect the effectiveness management measures implemented across the r elevant sectors of operation and jurisdictions. When cumulative effects and impacts are observed, it implies that the system of management measures and practices across the relevant sectors are not adequately managing the pressures generated by their respective activities (Elliott et al., 2017). Given that cumulative-effects assessments are typically focused on the effects and their impacts, an assessment of the effectiveness of these measures and practices would also be required to get a better understanding of the root causes of such effects and impacts and to improve existing management strategies (de Jonge et al., 2006). Such assessment must also include legislation, regulations, standards, and guidelines that are used to implement measures and guide the practices as these set the scope of the management approaches and objectives for each sector. The scope and objective of current measures and practices may not have considered broader ecosystem considerations at the time they were developed, resulting in cumulative effects and impacts.In contrast to traditional ecosystem and risk - assessment approaches, risk-management processes (ISO, 2009a, 2009b) require that the effectiveness of the controls be assessed to better understand how the management system is addressing actual or potential impacts and consequences. In such a process, the effectiveness of the controls are as- sessed to determine if these are adequate to achieve objectives. As part of the International Organization for Standardization (ISO) suite of risk-management standards under ISO 31000 (ISO, 2009a, 2009b), the Bowtie analysis is one of the more than 31 risk - assessment techniques of IEC\/ISO 31010 (IEC\/ISO, 2009) and is designed to analyse the controls used to manage risks. The Bowtie analysis provides a structure to evaluate procedures, measures, and controls used to prevent and mitigate risk (Mostia, 2009; Markowski and Kotynia, 2011; Badreddine and Ben Amor, 2013). Recently, the Bowtie analysis has been adapted to the analysis of environmental legislation and policies (Cormier et al., 2016; Creed et al., 2016; Elliott et al., 2017). This technique is also a valu- able tool to help stakeholders characterize the risks with which they are concerned and understand how risks are being or could be managed (Chevreau et al., 2006; Gerkens- meier and Ratter, 2016). A series of ICES workshops regarding the qualitative and quantitative use of the Bow-tie analysis in cumulative effects assessment s (ICES, 2014b, 2015, 2016) recommended to elaborate a more detailed Bowtie of existing legislation and policies of a regional European sea integrating the EU Marine Strategy Framework Directive (MSFD) and 2| ICES Cooperative Research ReportNo. 342 good environmental status criteria (EU, 2008). This report is a case study to demon- strate how the Bowtie analysis can be adapted to the analysis of legislation within a multijurisdictional context from a cumulative- effects assessment perspective. The analysis uses the programme of measures of the MSFD (Annex VI of MSFD ) as the controls to be assessed to achieve and maintain good environmental status for each of the qual- itative descriptors (Annex I of MSFD). Cited instruments under the MSFD are used, as an example, to demonstrate the relevant legislation and regulations involved in the management of the pressures for each relevant descriptor of good environmental sta- tus through the programme of measures. This report is organized to provide guidance for managers and administrators in- volved in the analysis of legislation and policies. The report also provides valuable insight for the scientific community regarding the linkage between cumulative effects and management strategies to prevent effects and mitigate impacts. Readers of this report must understand that this is an example of a policy-analysis exercise. It is an analysis of the hierarchy of management strategies across the qualitative descriptors of good environmental status. It is not an ecosystem model of components, functions, and feedback mechanisms as is typically used to map ecosystem processes. - , - Refereed - , - 14.A - , - 14.2 - , - 14.5 - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/621", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/621", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/621", "url": "https:\/\/hdl.handle.net\/11329\/621" }, "author": [ { "@type": "Person", "name": "Cormier, Roland" }, { "@type": "Person", "name": "Elliott, Michael" }, { "@type": "Person", "name": "Kannen, Andreas" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Coastal zone management", "MSFD", "Marine spatial planning", "Risk analysis", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2630", "name": "World Ocean Atlas 2018: Product Documentation.", "description": " - This document describes the World Ocean Atlas 2018 (WOA18) statistical and objectively analyzed field data files. This description includes the types of statistical fields available, the oceanographic variables analyzed, and at which standard depth levels, time spans, time periods and grid resolutions they were analyzed. This description also includes the naming convention for the files, as well as the structure and format for the files. For a description of the data used, and the procedures for calculating WOA statistical fields, see https:\/\/www.ncei.noaa.gov\/sites\/default\/files\/2020-04\/wod_intro_0.pdf - , - Published - , - Current - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2630", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2630", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2630", "url": "https:\/\/hdl.handle.net\/11329\/2630" }, "author": [ { "@type": "Person", "name": "Boyer, T.P." }, { "@type": "Person", "name": "Baranova, O.K." }, { "@type": "Person", "name": "Locarnini, R.A." }, { "@type": "Person", "name": "Mishonov, A.V." }, { "@type": "Person", "name": "Grodsky, A." }, { "@type": "Person", "name": "Paver, C.R." }, { "@type": "Person", "name": "Weathers, K.W." }, { "@type": "Person", "name": "Smolyar, I.V." }, { "@type": "Person", "name": "Reagan, J.R." }, { "@type": "Person", "name": "Seidov, D." }, { "@type": "Person", "name": "Zweng, M.M." } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2204", "name": "A Study of the Technology Used to Distinguish Sea Ice and Seawater on the Haiyang-2A\/B (HY-2A\/B) Altimeter Data.", "description": " - When the Haiyang-2B (HY-2B) was launched into space to form a star network with the Haiyang-2A (HY-2A), it provided new data sources for the sea ice research of the Earth's polar regions. The ability of altimeter echoes to distinguish sea ice and sea water is usable in operational ice charting. In this research study, the level 1B (L1B) data of HY-2A\/B altimeter from November 2018 was used to analyze the altimeter waveforms from the polar regions. The Suboptimal Maximum Likelihood Estimation (SMLE) and Offset Center of Gravity (OCOG) tracking packages could maintain the waveform characteristics of diffused and quasi-specular surfaces by comparison. Also, they could be utilized to distinguish sea ice from seawater in the polar regions. It was determined that the types of echoes obtained from the seawater were diffuse. Also, some ocean-like waveform data had existed for the old ice formations in the Arctic regions during the study period. The types of echoes obtained from Arctic sea ice were found to be mainly quasi-specular. In the present study, three methods (Threshold segmentation, K-nearest-neighbor (KNN), and Lib-Support Vector machine (LIBSVM)) with four waveform parameters (Automatic Gain Control (AGC) and Pulse Peaking (PP) values of the Ku and C Bands) were adopted to distinguish between the sea ice and seawater areas. The accuracy rate of the separation results for the LIBSVM except band Ku from HY-2B ALT was found to be less than 40% in Antarctic. Meanwhile, the other two methods were observed to have maintained the waveforms correctly at accuracy rates of approximately 80% in Antarctic and the Arctic. In addition, the observed distinguishing errors were located in the regions of the old ice of the Arctic region. In addition, due to the summer melting processes, the large number of ice floes and the snow cover had made it difficult to distinguish the seawater and sea ice in the Antarctic regions. - , - Refereed - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2204", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2204", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2204", "url": "https:\/\/hdl.handle.net\/11329\/2204" }, "author": [ { "@type": "Person", "name": "Jiang, Chengfei" }, { "@type": "Person", "name": "Mingsen, Lin" }, { "@type": "Person", "name": "Hao Wei" } ], "keywords": [ "Haiyang-2", "Sea Ice", "Seawater", "Cryosphere", "radar altimeters", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1148", "name": "OpenGIS SensorML Encoding Standard. Version 1.0.1.", "description": " - The primary focus of SensorML is to define processes and processing components associated with the measurement and post-measurement transformation of observations. The SensorML document also defines the SWE Common data types used throughout the SWE encodings and services. This corrigendum corrects sections of the SWE Common schema. - , - Published - , - This document is a Corrigendum to an adopted OpenGIS Standard. It is an official position of the OGC membership. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1148", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1148", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1148", "url": "https:\/\/hdl.handle.net\/11329\/1148" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "SensorML", "Encoding standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/512", "name": "Guide to the Creation and Use of Ocean-Colour, Level-3, Binned Data Products.", "description": " - One of the goals of launching a number of ocean-colour sensors aboard various satellites is to build a long-term, multi-sensor, multi-year, ocean-colour archive. The derived chlorophyll concentrations (in time and space) can be used to resolve inter-annual-to-decadal changes in oceanic phytoplankton biomass in response to global environmental changes. This report examines issues related to the diversity in current \u201cbinning\u201d schemes used for ocean-colour data, and recommends basic approaches that could be used across agencies or projects, in parallel to the current schemes. Issues related to merging of ocean-colour data from different sensors are also addressed, as well as the synergistic use of ocean colour with other satellite-derived observations, such as sea-surface temperature. The aim of the report is not to define the best way to generate Level-3 ocean colour data products from Level-2 data, which is outside the scope of this study, but rather to list previously unconsidered issues that may impair the use, intercomparison or merging of Level-3 ocean-colour data sets, as well as their application with other satellite-derived data sets. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Refereed - , - Current - , - ocean colour - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/512", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/512", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/512", "url": "https:\/\/hdl.handle.net\/11329\/512" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "IOCCG", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1330.2", "name": "Best practice for Data Management. Version 1.2.", "description": " - This document is intended as a general guidance for creating and maintaining data collections in ICES \u2013 although a number of the general principles can be applied anywhere. It will particularly be a useful resource for expert groups that seek to establish new data collections and systems within ICES, and aims to act as a guide for considerations and work that should be worked out by the contributors ahead of creating formal data calls or building systems to host the data. The document has been initiated in a collaboration between ICES Data Centre and the Data and Information Group (DIG) to ensure that data are managed, structured, and developed in a robust way that will allow best possible use of the data. The focus of the document is for data contributors, possibly already in an ICES working group, seeking to prepare and establish data collections, or to contribute data to existing systems. Data contributors may or may not be aware of how ICES data submissions work, so some sections of the document cover who to speak to, and how to work with the existing system to ensure the information is available for new members of the ICES community. The document is structured along the general stages that data needs to pass through from collection to use in formal advice, with a focus on what data submitters\/providers needs to consider. This is followed on by the overarching principles of data sharing (either openly or more constrained), and putting the data into the context of how it is managed once it arrives in ICES. Next to that, the document outlines routes of communication \u2013 which groups and bodies within ICES would be first contact points for requests for establishing new data collections. Last, but not least, feedback and dialogue is essential to shape the guidance in this handbook, and both DIG and the ICES Data Centre want to ensure we can capture lessons learned and experiences from different exercises in working groups for the benefit of the ICES community on a continuous basis. Thus, there is a strong encouragement of users of the document to provide feedback or ask questions to either the Data and Information Group or the ICES Data Centre. - , - Published - , - Refereed - , - Current - , - 14.A - , - N\/A - , - Mature - , - Best Practice - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1330.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1330.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1330.2", "url": "https:\/\/hdl.handle.net\/11329\/1330.2" }, "author": [ { "@type": "Person", "name": "Rasmussen, Jens" }, { "@type": "Person", "name": "de Boois, Ingeborg" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data citation", "Data Management Practices::Data quality control", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1933", "name": "How can Earth Scientists Contribute to Community Resilience? Challenges and Recommendations.", "description": " - Community resilience increases a place-based community\u2019s capacity to respond and adapt to life-changing environmental dynamics like climate change and natural disasters. In this paper, we aim to support Earth science\u2019s understanding of the challenges communities face when applying Earth science data to their resilience efforts. First, we highlight the relevance of Earth science in community resilience. Then, we summarize these challenges of applying Earth science data to community resilience: \u2022 Inequity in the scientific process, \u2022 Gaps in data ethics and governance, \u2022 A mismatch of scale and focus, and \u2022 Lack of actionable information for communities. Lastly, we offer the following recommendations to Earth science as starting points to address the challenges presented: \u2022 Integrate community into the scientific data pathway, \u2022 Build capacity to bridge science and place-based community needs, \u2022 Reconcile openness with self-governance, and \u2022 Improve access to data tools to support community resilience. - , - ESIP - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1933", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1933", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1933", "url": "https:\/\/hdl.handle.net\/11329\/1933" }, "author": [ { "@type": "Person", "name": "Virapongse, Arika" }, { "@type": "Person", "name": "Gupta, Rupanwita" }, { "@type": "Person", "name": "Robbins, Zachary J." }, { "@type": "Person", "name": "Blythe, Jonathan" }, { "@type": "Person", "name": "Duerr, Ruth E." }, { "@type": "Person", "name": "Gregg, Christine" } ], "keywords": [ "Community resilience", "Data Governance", "Actionable data", "Data ethics", "Data pathways", "Earth science data", "Cross-discipline", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2519", "name": "BS EN 15204:2006. Water quality. Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermoehl technique)", "description": " - The procedure described in this European Standard is based on the standard settling technique as defined by Uterm\u00f6hl in 1958 [31]. It describes a general procedure for the estimation of abundance and taxonomic composition of marine and freshwater phytoplankton by using inverted light microscopy and sedimentation chambers, including the preceding steps of preservation and storage. Emphasis is placed on optimizing the procedure for the preparation of the microscopic sample. Many of the general principles of the approach described may also be applied to other techniques of enumerating algae (or other entities) using a (conventional) microscope, some of which are described in Annex E. This guidance standard does not cover field collection of samples or the analysis of picoplankton, quantitative analysis of free-floating mats of Cyanobacteria or specific preparation techniques for diatoms. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Microbe biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2519", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2519", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2519", "url": "https:\/\/hdl.handle.net\/11329\/2519" }, "contributor": [ { "@type": "Organization", "name": "British Standards Institute (BSI)" } ], "keywords": [ "Water quality", "Ecological quality", "Phytoplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2164", "name": "The impact of the Polar Code on risk mitigation in Arctic waters: a toolbox for underwriters?.", "description": " - The existing risk weighing on vessel, crew and ecosystem in the Arctic and more globally in Polar waters promoted the adoption of the Polar Code (PC) early 2017, a mandatory international legal framework intended for enhanced safety and environmental protection. While the substance of the PC has been extensively analyzed, few studies have focused on the underlying relationships between the PC and underwriters. Based on an extensive literature review, documentary materials and interviews with insurance companies, this article conceptualizes the PC as a toolbox and analyzes how underwriters can exploit it in their work within the emerging Arctic market. The PC does not only regulate the navigation in Arctic waters in legal terms, but is also aimed at mitigating risks in the Polar areas through the identification of hazard sources and proceduralization of risk assessment. As a result we observe a certain Polar Code paradox. Even though the PC is a risk-based instrument and constitutes a key step for improving ship insurability, it has only limited capacity to assist underwriters in assessing risks and insuring vessels. Marine insurers still face a lack of data and high pending uncertainties leading them to exercise extreme caution with Arctic risks appraisal. - , - This work was supported by the Academy of Finland: Assessing Intermediary Expertise in Cross-Border Arctic Energy Development [grant number 285959]. - , - Refereed - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2164", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2164", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2164", "url": "https:\/\/hdl.handle.net\/11329\/2164" }, "author": [ { "@type": "Person", "name": "Fedi, Laurent" }, { "@type": "Person", "name": "Faury, Olivier" }, { "@type": "Person", "name": "Gritsenko, Daria" } ], "keywords": [ "Polar Code", "Transport", "Arctic shipping", "Risk mitigation", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2014", "name": "Guidelines for sampling and determination of pH in seawater.", "description": " - Since ocean acidification is a growing concern, monitoring of pH is necessary for studies of acidification and its effects on the carbonate buffer system. As many important biological processes are likely to be affected by rapid changes in pH, it is important to include accurate determination of pH among monitoring parameters. pH is operationally defined, and a number of pH scales are used in environmental monitoring. The NBS (National Bureau of Standards) scale is suitable for waters of low ionic strength, and used for freshwater monitoring. The total hydrogen ion scale is often used for pH determinations in oceanic waters. The salinity gradient from the Bothnian Bay to Skagerrak, or from surface to deep water in the Baltic Proper, makes it difficult to select a pH scale that would be suitable for the entire Baltic area. pH is also used in marine environmental monitoring as a co-factor in measurements of primary production. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2014", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2014", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2014", "url": "https:\/\/hdl.handle.net\/11329\/2014" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "pH", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1281", "name": "ISO 19115 Geographic information \u2014 Metadata \u2014 Biological Extensions Workbook: Guide to implementing ISO 19115:2003(E), the North American Profile (NAP), and ISO 19110 Feature Catalogue with Biological Extensions.", "description": " - This workbook is not intended to replace the ISO standards but is meant to act as an educational and implementational guide to be used in conjunction with ISO 19115 Geographic information \u2500 Metadata ISO 19115:2003(E). - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1281", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1281", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1281", "url": "https:\/\/hdl.handle.net\/11329\/1281" }, "contributor": [ { "@type": "Organization", "name": "NOAA National Coastal Data Development Center" } ], "keywords": [ "ISO 19115", "International standards", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1044", "name": "SeaDataNet Cruise Summary Report (CSR) metadata profile of ISO 19115-2 \u2013 XML encoding, Version 4.0.0.", "description": " - Encoding of the SeaDataNet Cruise Summary Report (CSR) metadata profile in XML, by means of both XML schema and Schematron rules definitions, Version 4.0.0, January 2019. This document has been drafted in the context of the EU FP7 SeaDataNet II project and EU H2020 SeaDataCloud project by CNR. \u201cISO\/IEC Directives, Part 2: Rulesfor the structure and drafting of International Standards\u201dwas used as a reference for the drafting. - , - Published - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1044", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1044", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1044", "url": "https:\/\/hdl.handle.net\/11329\/1044" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/365", "name": "Guide to Meteorological Instruments and Methods of Observation: (CIMO guide). 2014 edition. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-432]", "description": " - This Guide is a key resource that provides a description of most instruments, systems and techniques in regular use, from the simplest to the most complex and sophisticated, but does not attempt to deal with methods and instruments used only for research. The purpose of the Guide is to provide best practices, procedures and the basic capabilities of instruments and systems for assisting National Meteorological and Hydrological Services and other interested users operating observing systems in the preparation of their manuals and procedures to meet their specific needs for measurements and observations. The Guide intentionally restricts standardization to the essential requirements only, and confines recommendations to the general features most common to various configurations of a given instrument or measurement system, thus enabling wide areas for further development. The Guide is the authoritative reference for all matters related to instrumentation and methods of observation in the context of WIGOS. This persistent work of experts has resulted in the 2014 edition of the Guide, which was approved by CIMO at its sixteenth session, held in Saint Petersburg, Russian Federation, in July 2014. In addition to almost all chapters being updated, the new edition includes a number of fully revised chapters and an extensive new part on space-based observations. The important impact of the recent Minamata Convention on Mercury of the United Nations Environment Programme in regard to mercury-based instruments is particularly highlighted in the relevant chapters. The current Guide consists of 38 chapters distributed over the following four parts: Measurement of Meteorological Variables, Observing Systems, Space-based Observations, and Quality Assurance and Management of Observing Systems. In the process of updating the CIMO Guide, WMO has benefited from the excellent collaboration that took place between CIMO and the Commission for Atmospheric Sciences, the Joint WMO\/ IOC Technical Commission for Oceanography and Marine Meteorology, the Commission for Basic Systems and the Global Climate Observing System, which provided significant contributions to the new edition of the Guide. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/365", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/365", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/365", "url": "https:\/\/hdl.handle.net\/11329\/365" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological data", "Meteorological observations", "Meteorological observing systems", "Air temperature measurement", "Quality assurance", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1212", "name": "Summary of current methods of monitoring and assessment for marine litter.. Deliverable D1.2 report. MARLISCO project.", "description": " - This report summarises the marine litter issue in relation to monitoring and assessment. It includes a brief summary of current assessment and monitoring techniques within European Seas in order to provide information for other Work Packages. Gathering data on marine litter is a relatively new concept within the monitoring field. Therefore, this report should rather be considered as a generic overview and an introduction to the possible monitoring approaches. It includes links to relevant information sources. The guidance is intended to support litter monitoring by the general public or other non-research trained persons. Certain aspects of marine litter monitoring remain rather scientific and are too complex to be carried out by members of the general public. Specific guidelines for these types of survey have not been included. For more detailed information we recommend the protocols as described in the reports of the European MSFD GES Technical Subgroup 10 (TSG10), an overview of this report has been given in section 6.4. Further developments in marine litter monitoring are ongoing and will take a more definitive shape in the coming years. Hence it will be important to follow up progress of European and regional marine litter expert groups tasked with the improvement of our understanding of this relatively new problem in our marine environment. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1212", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1212", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1212", "url": "https:\/\/hdl.handle.net\/11329\/1212" }, "author": [ { "@type": "Person", "name": "Maes, T." }, { "@type": "Person", "name": "Garnacho, E." } ], "contributor": [ { "@type": "Organization", "name": "MARine Litter in Europe Seas: Social AwarenesS and CO Responsibility" } ], "keywords": [ "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1398", "name": "A Regional Neural Network Approach to Estimate Water-Column Nutrient Concentrations and Carbonate System Variables in the Mediterranean Sea: CANYON-MED.", "description": " - A regional neural network-based method, \u201cCANYON-MED\u201d is developed to estimate nutrients and carbonate system variables specifically in the Mediterranean Sea over the water column from pressure, temperature, salinity, and oxygen together with geolocation and date of sampling. Six neural network ensembles were developed, one for each variable (i.e., three macronutrients: nitrates (NO\u22123), phosphates (PO3\u22124) and silicates (SiOH4), and three carbonate system variables: pH on the total scale (pHT),total alkalinity (AT), and dissolved inorganic carbon or total carbon (CT), trained using a specific quality-controlled dataset of reference \u201cbottle\u201d data in the MediterraneanSea. This dataset is representative of the peculiar conditions of this semi-enclosed sea, as opposed to the global ocean. For each variable, the neural networks were trained on 80% of the data chosen randomly and validated using the remaining 20%.CANYON-MED retrieved the variables with good accuracies (Root Mean Squared Error):0.73\u03bcmol.kg\u22121for NO\u22123, 0.045\u03bcmol.kg\u22121for PO3\u22124and 0.70\u03bcmol.kg\u22121for Si(OH)4,0.016 units for pHT, 11\u03bcmol.kg\u22121forATand 10\u03bcmol.kg\u22121forCT. A second validationon the ANTARES independent time series confirmed the method\u2019s applicability in the Mediterranean Sea. After comparison to other existing methods to estimate nutrients and carbonate system variables, CANYON-MED stood out as the most robust, using the aforementioned inputs. The application of CANYON-MED on the MediterraneanSea data from autonomous observing systems (integrated network of Biogeochemical-Argo floats, Eulerian moorings and ocean gliders measuring hydrological propertiestogether with oxygen concentration) could have a wide range of applications. These include data quality control or filling gaps in time series, as well as biogeochemical data assimilation and\/or the initialization and validation of regional biogeochemical models still lacking crucial reference data. Matlab and R code are available at https:\/\/github.com\/MarineFou\/CANYON-MED\/. - , - Refereed - , - 14.A - , - Nutrients - , - Inorganic carbon - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1398", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1398", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1398", "url": "https:\/\/hdl.handle.net\/11329\/1398" }, "author": [ { "@type": "Person", "name": "Fourrier, Marine" }, { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "D\u2019Ortenzio, Fabrizio" }, { "@type": "Person", "name": "Sauz\u00e8de, Rapha\u00eblle" }, { "@type": "Person", "name": "Gattuso, Jean-Pierre" } ], "keywords": [ "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/721", "name": "Chlorophyll a: Determination by spectroscopic methods.", "description": " - Chlorophyll a is the principal pigment in plants. As a biomass indicator of aquatic microalgae which support food webs in the sea, it is probably the most frequently measured biochemical parameter in oceanography. This document describes a procedure for the routine determination of chlorophyll a in sea water for use by ICES Member Countries. It has been developed from a review of current methodology for measuring chlorophyll a undertaken by the Working Group on Phytoplankton Ecology (WGPE) and the Marine Chemistry Working Group (MCWG). This work was led by A. Aminot (MCWG) and F. Rey (WGPE) and both groups based their discussions around a recently published work on this topic (Jeffrey, Mantoura, and Wright, 1997). The present document represents the consensus between the two groups. This document draws attention to critical points of chlorophyll a determination and reviews recommendations concerning the use of this pigment as a biomass marker. In addition, it proposes a standard procedure for chlorophyll a determination. Although many points in the procedure can apply to any other method, the document is devoted to the determination of chlorophyll a in discrete samples, after extraction and spectroscopic measurement of the pigments. It is not presently possible or desirable to recommend a single method for measuring chlorophyll a in seawater samples. Instead, a procedure incorporating three spectroscopic analytical methods is proposed. Apart from these alternatives, all other steps in the procedure are similar. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Phytoplankton biomass and diversity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/721", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/721", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/721", "url": "https:\/\/hdl.handle.net\/11329\/721" }, "author": [ { "@type": "Person", "name": "Aminot, Alain" }, { "@type": "Person", "name": "Rey, Francisco" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/462", "name": "Policy Document - Sensor Development for the Ocean of Tomorrow. [SenseOCEAN : Marine Sensors for the 21st Century , Deliverable 7.8]", "description": " - The following sections highlight the major sensor developments and specific innovations from the NeXOS, SCHeMA and SenseOCEAN projects in order to give decision makers a realistic overview of what can be achieved in terms of the parameters that can be measured, monitored and assessed . - , - European Union - , - Published - , - Contributing authors: COMMON SENSE : Declan Dunne, Sergio Mart\u00ednez NeXOS : Eric Delory, Joaquin del Rio, Simon Jirka, Jay Pearlman SCHeMA : Paolo D\u2019Angelo, Antonio Novellino, Mar y-Lou Tercier-Waeber, Maria Cuartero Botia, Eric Bakker, Silvia Zieger, Ingo Klimant SenseOCEAN: Carole Barus, Sergey Borisov, Justin Buck, Doug Connelly, Lars Damgaard, Louise Darroch, Veronique Garcon, Thomas Gardner, Alexandra Kokkinaki, Matt Mowlem, Robin Pascal, Niels Peter Revsbech, Carla Sands - , - Refereed - , - Current - , - 14.a.1 - , - 14.2.1 - , - 14.3.1 - , - 14.5.1 - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/462", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/462", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/462", "url": "https:\/\/hdl.handle.net\/11329\/462" }, "author": [ { "@type": "Person", "name": "Barus, Carole" }, { "@type": "Person", "name": "et, al" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for SenseOCEAN Project" } ], "keywords": [ "NeXOS Project", "SCHeMA Project", "SenseOCEAN Project", "COMMON SENSE Project", "Carbon cycle", "Optical sensors", "Trace metals", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2158", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report. Oxygen Records 2009-2021. Version 1.0", "description": " - This report details the quality control (QC) procedures applied to oxygen data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2021. These measurements help to quantify net community production (and thus carbon export). The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data - , - Published - , - Refereed - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2158", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2158", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2158", "url": "https:\/\/hdl.handle.net\/11329\/2158" }, "author": [ { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Wynn-Edwards, Cathryn A." }, { "@type": "Person", "name": "Shadwick, Elizabeth H." }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Dissolved gases", "Dissolved gas sensors", "Data quality control", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1538", "name": "QA best practices and protocols on QC for radial and total HF radar data (INCREASE WP3, D3.1).", "description": " - This document is the deliverable D.3.1 from INCREASE WP3. In the last months, there has been intense exchange within the European HFR experts for the definition of standards QA and QC procedures. This progress has been achieved in collaboration with JERICO-Next project and has been shared and supported by the HF radar community through INCREASE project efforts (INCREASE HFR Experts Workshop, September 2016). In this context, WP3 will make a step forward, focusing on the practical aspects linked to their implementation to real data. The main goal of this deliverable is to provide a demonstration on the application of these procedures, which will be the basis for the development of INCREASE HFR basic products (M3.1). - , - EU - , - Published - , - Contributors: L. Corgnati ; A. Rubio; C. Mantovani ; J.L. Asensio ; J. Mader; A. Novellino ; A. Griffa - , - Refereed - , - Current - , - 14.a - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1538", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1538", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1538", "url": "https:\/\/hdl.handle.net\/11329\/1538" }, "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environmental Monitoring Service (CMEMS)" } ], "keywords": [ "High Frequency Radar", "HF Radar", "JERICO-NEXT", "Quality assurance", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1843", "name": "SeaFlux: harmonization of air\u2013sea CO2 fluxes from surface pCO2 data products using a standardized approach.", "description": " - Air\u2013sea flux of carbon dioxide (CO2) is a critical component of the global carbon cycle and the climate system with the ocean removing about a quarter of the CO2 emitted into the atmosphere by human activities over the last decade. A common approach to estimate this net flux of CO2 across the air\u2013sea interface is the use of surface ocean CO2 observations and the computation of the flux through a bulk parameterization approach. Yet, the details for how this is done in order to arrive at a global ocean CO2 uptake estimate vary greatly, enhancing the spread of estimates. Here we introduce the ensemble data product, SeaFlux (Gregor and Fay, 2021, https:\/\/doi.org\/10.5281\/zenodo.5482547\u200b\u200b\u200b\u200b\u200b\u200b\u200b, https:\/\/github.com\/luke-gregor\/pySeaFlux, last access: 9 September 2021\u200b\u200b\u200b\u200b\u200b\u200b\u200b); this resource enables users to harmonize an ensemble of products that interpolate surface ocean CO2 observations to near-global coverage with a common methodology to fill in missing areas in the products. Further, the dataset provides the inputs to calculate fluxes in a consistent manner. Utilizing six global observation-based mapping products (CMEMS-FFNN, CSIR-ML6, JENA-MLS, JMA-MLR, MPI-SOMFFN, NIES-FNN), the SeaFlux ensemble approach adjusts for methodological inconsistencies in flux calculations. We address differences in spatial coverage of the surface ocean CO2 between the mapping products, which ultimately yields an increase in CO2 uptake of up to 17\u2009% for some products. Fluxes are calculated using three wind products (CCMPv2, ERA5, and JRA55). Application of a scaled gas exchange coefficient has a greater impact on the resulting flux than solely the choice of wind product. With these adjustments, we present an ensemble of global surface ocean pCO2 and air\u2013sea carbon flux estimates. This work aims to support the community effort to perform model\u2013data intercomparisons which will help to identify missing fluxes as we strive to close the global carbon budget. - , - Refereed - , - 14.a - , - Inorganic carbon - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1843", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1843", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1843", "url": "https:\/\/hdl.handle.net\/11329\/1843" }, "author": [ { "@type": "Person", "name": "Fay, Amanda R." }, { "@type": "Person", "name": "Gregor, Luke" }, { "@type": "Person", "name": "Landsch\u00fctzer, Peter" }, { "@type": "Person", "name": "McKinley, Galen A." }, { "@type": "Person", "name": "Gruber, Nicolas" }, { "@type": "Person", "name": "Gehlen, Marion" }, { "@type": "Person", "name": "Iida, Yosuke" }, { "@type": "Person", "name": "Laruelle, Goulven G." }, { "@type": "Person", "name": "R\u00f6denbeck, Christian" }, { "@type": "Person", "name": "Roobaert, Aliz\u00e9e" }, { "@type": "Person", "name": "Zeng, Jiye" } ], "keywords": [ "Carbon Dioxide", "pCO2 sensor", "Air-sea interface", "Chemical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1992", "name": "R\/V Dr. Fridtjof Nansen Video Series: Collecting and filtering chlorophyll-a samples from a CTD rosette water sampler. [Training Video]", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, these videos are part of a series of videos that support the descriptions provided in the Rosette water sampling R\/V Dr. Fridtjof Nansen protocol about the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. These particular videos provide a description of how to collect and filter chlorophyll-a samples from a CTD rosette bottle. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - N\/A - , - Chlorophyll-a - , - Seabird 911plus CTD - , - SBE 32 Carousel - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1992", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1992", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1992", "url": "https:\/\/hdl.handle.net\/11329\/1992" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research (Norway) for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "CTD", "Rosette bottle", "Water sampling", "Chlorophyll a", "Other physical oceanographic measurements", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2454", "name": "CEMP Guidelines: Phytoplankton monitoring. (OSPAR Agreement 2016-06).", "description": " - This document describes phytoplankton species composition monitoring guidelines for the OSPAR area. \u201cPhytoplankton\u201d is here used throughout as a simple umbrella term to encompass prokaryotes as well as eukaryotes, but is limited to protists, whatever their size and trophic mode (i.e. auto-mixo or heterotroph). Micrometazoa <200 um and also larger metazoans are thus excluded from this definition. The scope of the guidelines includes eutrophication, biodiversity, invasive species, harmful algal blooms and climate change. This document replaces the document \u2018JAMP Eutrophication Monitoring Guidelines: Phytoplankton Species Composition\u2019, adopted 1997 in Brussels. (Ref. No.: Agreement 1997-05). - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - International - , - Community composition - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2454", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2454", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2454", "url": "https:\/\/hdl.handle.net\/11329\/2454" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Monitorng guidelines", "Biodiversity", "Eutrophication", "Harmful algal blooms", "Invasive species", "Foodwebs", "Phytoplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2039", "name": "White Paper on Status of Stakeholder Engagement in Polar Research.", "description": " - Polar stakeholders include both Arctic and Antarctic stakeholders. However, while including both, the White Paper focuses more on the Arctic, as it is inhabited, and hence higher on the European agenda. This white paper is targeted to support researchers and aims to serve as both as an eye-opener and as a tool for planning the next research projects and funding calls for funders. This White paper includes set of recommendations and way forward for achieving successful stakeholder engagement for including the society and its challenges into the research. - , - European Commission - , - Published - , - Refereed - , - Current - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2039", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2039", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2039", "url": "https:\/\/hdl.handle.net\/11329\/2039" }, "author": [ { "@type": "Person", "name": "Latola, Kirsi" }, { "@type": "Person", "name": "Scheepstra, Annette" }, { "@type": "Person", "name": "Pawlak, Janet" } ], "contributor": [ { "@type": "Organization", "name": "EU-PolarNet" } ], "keywords": [ "Stakeholder engagement", "Polar research", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1253.2", "name": "EGO gliders NetCDF format reference manual : NetCDF conventions Reference tables and files distribution. Version 1.15.", "description": " - This document specifies the NetCDF file format of EGO-gliders that is used to distribute glider data, metadata and technical data. It documents the standards used therein; this includes naming conventions as well as metadata content. It was initiated in October 2012, based on OceanSITES, Argo and ANFOG user's manuals. Everyone\u2019s Gliding Observatories - EGO is dedicated to the promotion of the glider technology and its applications. The EGO group promotes glider applications through coordination, training, liaison between providers and users, advocacy, and provision of expert advice. We intend to favor oceanographic experiments and the operational monitoring of the oceans with gliders through scientific and international collaboration. We provide news, support, information about glider projects and glider data management, as well as resources related to gliders. All EGO data are publicly available. More information about the project is available at: http:\/\/www.ego-network.org - , - Published - , - Contributors: Carval Thierry, Gourcuff Claire, Rannou Jean-Philippe, Buck Justin J.H., Garau Bartolome - , - Refereed - , - Current - , - 14.A - , - Mature - , - Multi-organisational - , - International - , - Gliders - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1253.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1253.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1253.2", "url": "https:\/\/hdl.handle.net\/11329\/1253.2" }, "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Everyone\u2019s Gliding Observatories", "NetCDF", "Parameter Discipline::Physical oceanography", "Gliders", "Data Management Practices::Data format development", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/802", "name": "Comparison of inherent optical properties as a surrogate for particulate matter concentration in coastal waters.", "description": " - Particulate matter concentration (PM, often referred to as total suspended solids [TSS]) is an important parameter in the evaluation of water quality. Several optical measurements used to provide an estimate of water turbidity have also been used to estimate PM, among them light transmission, backscattering, and side-scattering. Here we analyze such measurements performed by the Alliance for Coastal Technologies (ACT) at various coastal locations to establish whether a given optical method performs better than others for the estimation of PM. All the technologies were found to perform well, predicting PM within less than 55% relative difference for 95% of samples (n = 85, four locations). Backscattering performed best as a predictor of PM, predicting PM with less than 37% relative difference for 95% of samples. The correlation coefficient (R) was between 0.96 and 0.98 for all methods with PM data ranging between 1.2 to 82.4 g m\u20133. In addition, co-located measurements of backscattering and attenuation improves PM prediction and provides compositional information about the suspended particles; when their ratio is high, the bulk particulate matter is dominated by inorganic material while when low, dominated by organic material. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/802", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/802", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/802", "url": "https:\/\/hdl.handle.net\/11329\/802" }, "author": [ { "@type": "Person", "name": "Boss, E." }, { "@type": "Person", "name": "Taylor, L." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hawley, N." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/464", "name": "Intercomparison of biogeochemical sensors at ocean observatories.", "description": " - This report gives an overview of the current state of the art in biogeochemical sensing, reviews user experience of systems, summarises efforts to provide quality assessment and control, and makes recommendation for the use and development of technology for this application. - , - Published - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/464", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/464", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/464", "url": "https:\/\/hdl.handle.net\/11329\/464" }, "author": [ { "@type": "Person", "name": "Mowlem, M." }, { "@type": "Person", "name": "Hartman, S." }, { "@type": "Person", "name": "Harrison, S." }, { "@type": "Person", "name": "Larkin, K.E." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre" } ], "keywords": [ "Biogeochemical sensors", "EUR-OCEAN", "Eulerian observatories", "Technology Readiness Level (TRL)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1341", "name": "Conceptual Framework for Developing the Next Generation of Marine OBservatories (MOBs) for Science and Society.", "description": " - In the field of ocean observing, the term of \u201cobservatory\u201d is often used without a unique meaning. A clear and unified definition of observatory is needed in order to facilitate the communication in a multidisciplinary community, to capitalize on future technological innovations and to support the observatory design based on societal needs. In this paper, we present a general framework to define the next generation Marine OBservatory (MOB), its capabilities and functionalities in an operational context. The MOB consists of four interconnected components or \u201cgears\u201d (observation infrastructure, cyberinfrastructure, support capacity, and knowledge generation engine) that are constantly and adaptively interacting with each other. Therefore, a MOB is a complex infrastructure focused on a specific geographic area with the primary scope to generate knowledge via data synthesis and thereby addressing scientific, societal, or economic challenges. Long-term sustainability is a key MOB feature that should be guaranteed through an appropriate governance. MOBs should be open to innovations and good practices to reduce operational costs and to allow their development in quality and quantity. A deeper biological understanding of the marine ecosystem should be reached with the proliferation of MOBs, thus contributing to effective conservation of ecosystems and management of human activities in the oceans. We provide an actionable model for the upgrade and development of sustained marine observatories producing knowledge to support science-based economic and societal decisions. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-09-07 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1341", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1341", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1341", "url": "https:\/\/hdl.handle.net\/11329\/1341" }, "author": [ { "@type": "Person", "name": "Crise, Alessandro" }, { "@type": "Person", "name": "Ribera d\u2019Alcal\u00e0, Maurizio" }, { "@type": "Person", "name": "Mariani, Patrizio" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Robidart, Julie" }, { "@type": "Person", "name": "Iudicone, Daniele" }, { "@type": "Person", "name": "Bachmayer, Ralf" }, { "@type": "Person", "name": "Malfatti, Francesca" } ], "keywords": [ "Marine OBservatory", "Cyberinfrastructure", "Long-term sustainability", "Essential ocean variables (EOV)", "Global Ocean Observing System (GOOS)", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2505", "name": "Ocean Best Practices Self Paced. [OTGA\/OBPS Training Course]", "description": " - In this course we introduce you to the concept of Best Practices and the Ocean Best Practices System (OBPS), and we will provide an overview of the importance and relevance of using and sharing Ocean Best Practices and Standards, as well as on how to create, submit, share and search for Best Practices in the OBPS repository. - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Methodological commentary\/perspect - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2505", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2505", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2505", "url": "https:\/\/hdl.handle.net\/11329\/2505" }, "keywords": [ "Ocean Best Practices System (OBPS)", "Cross-discipline", "Data management planning and strategy development", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/690", "name": "Biological effects of contaminants: Oyster (Crassostrea gigas) embryo bioassay.", "description": " - The oyster embryo bioassay was initially developed by Woelke (1972). The Ministry of Agriculture, Fisheries and Food (MAFF) in the UK have modified the method to improve the accuracy of the test and allow its use on board research vessels. This paper describes the modified method which has been used to obtain a measure of the deterioration in biological water quality in UK coastal' areas receiving anthropogenic discharges. MAFF have successfully used this protocol since 1976 (see Lloyd and Thain, 1981; HMSO, 1982; Thain and Watts, 1984; Byrne et al., 1985; Utting and Helm, 1985; Byrne et al., 1986; Law et al., 1986; Byrne et al., 1988). The phrase \"deterioration in biological water quality\" implies that a change in chemical, physical, and\/or biological composition has occurred which is potentially harmful to aquatic organisms. A bioassay to measure such a deterioration should be based on a response by an organism which clearly represents a harmful effect at both the individual and the population level of organization. The lowest level at which such responses can be measured with certainty are the three 'scopes' for activity, growth, and reproduction. The organism response used in this bioassay is the ability of the oyster embryo to develop normally and reach the 'D'-shaped larval stage (at which the paired hinged shells can be seen) within 24 hours. Although the exposure time is short, it encompasses a period of intense cellular activity during which the impairment of a number of critical physiological and biochemical processes may result in poor growth and development. The response measured is, therefore, similar to that used in other early life stage tests which record growth and development, and it has the advantage that exogenous feeding is not required, thus eliminating this source of variation in the test results. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/690", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/690", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/690", "url": "https:\/\/hdl.handle.net\/11329\/690" }, "author": [ { "@type": "Person", "name": "Thain, J. E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2343", "name": "High level review of a wide range of proposed marine geoengineering techniques.", "description": " - This is the first dedicated assessment of the wide range of proposed marine geoengineering approaches. It catalogues 27 approaches (including variations of approaches) and details 8 illustrative examples from the categories spanning Carbon Dioxide Removal (CDR), Albedo Modification (AM), and hybrid (i.e., for purposes extending beyond CDR or AM) technologies. \u2022 The information available on proposed marine geoengineering techniques varies widely, ranging from the promotion of initial concepts on web sites to theoretical examinations of potential efficacy and risks in the peer-reviewed literature, supported by some basic descriptions of matching technology. Techniques have been proposed by scientists and by the private sector. \u2022 Descriptions are provided for >20 techniques and are structured to include: approach\/rationale; underlying principle(s); extent of knowledge; evidence of concept; proposed deployment zone(s); potential scale of use; duration of deployment; evidence of feasibility; and appraisal of potential impacts. \u2022 Detailed information and evidence are essential to assess the efficacy and the potential long-term benefits and risks of a marine geoengineering approach. It was agreed that if there is no substantive science behind a proposal, it is not possible to provide a scientific review of it nor to provide solid policy recommendations beyond providing guidelines as to how to proceed. For each and every technique, information on marine geoengineering approaches available in the permanent public record, and\/or as peer-reviewed documents, is inadequate to permit a robust scientific assessment, much less one that can be readily intercompared with other approaches to climate intervention. \u2022 Although decisions on policy formulation or governance often have to be based on incomplete information, for many of the marine geoengineering approaches examined the knowledge available was viewed to be insufficient for evidence-based decision-making. These major gaps also raise issues regarding the ability to effectively communicate the many aspects of geoengineering to the general public. In the report we have attempted to provide guidelines for proponents on the series of steps needed to support an evidence-based assessment. \u2022 Despite the widespread knowledge gaps, it was possible to provide an evaluation of eight illustrative marine geoengineering approaches using the most applicable and pertinent criteria from prior reports (NAS, CBD) bolstered with additional essential criteria (Summary Table). The most important of these criteria is the availability of information on the performance and impacts of these approaches as attained by scientific testing and experimentation. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2343", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2343", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2343", "url": "https:\/\/hdl.handle.net\/11329\/2343" }, "contributor": [ { "@type": "Organization", "name": "GESAMP: Joint GESAMP Group of Experts on the Scientific Aspects of Marine Environmental Protection" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/208", "name": "A Reference Guide on the Use of Indicators for Integrated Coastal Management.", "description": " - This first issue is devoted to the use of indicators for ICAM, and is a direct result of the IOC-DFO-NOAA-CSMP International Workshop on the same topic, organised in May 2002, in Ottawa. Based on a background paper prepared by the Center for the Study of Marine Policy (University of Delaware) in preparation for the workshop, the aim of this Reference Guide is to present a literature review on the use of indicators around the world, from various programmes and projects, at global, regional, national and local scale.The need for indicators and reporting techniques which reflects the performance of coastal management projects and programmes and reveals the complex relationship that exist between coastal ecosystem health and anthropogenic activities, socio-economic conditions and managerial decisions, has been reinforced recently by the World Summit on Sustainable Development\u2019s Plan of Implementation. This Dossier will hopefully offer a first step towards the development of common practices and protocols in the application of such indicators. - , - Published - , - Gouvernance aspect socioecono;ic indicator, coastal and Marine environment - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/208", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/208", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/208", "url": "https:\/\/hdl.handle.net\/11329\/208" }, "author": [ { "@type": "Person", "name": "Belfiore, S." }, { "@type": "Person", "name": "Balgos, M." }, { "@type": "Person", "name": "McLean, B." }, { "@type": "Person", "name": "Galofre, J." }, { "@type": "Person", "name": "Blaydes, M." }, { "@type": "Person", "name": "Tesch, D." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Coastal oceanography", "Coastal zone management", "Marine ecology", "Marine environment", "Environment management", "Socioeconomic aspects", "Policies", "Marine environment", "Marine ecology", "Policies" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/791", "name": "Appendix 3: Determination of TSS and POC Blank Corrections for the ACT 2006 Turbidity Sensor Verification.", "description": " - As part of the field deployment test for this turbidity sensor verification study, each test site determined TSS and POC concentrations on between 40 \u2013 60 samples. Sampling and analytical methods for these parameters are outlined in the document, Protocols for the ACT Verification of In Situ Turbidity Sensors (ACT PV06-01), which can be downloaded at (www.actus.info\/evaluation_reports.php). While ACT makes no claim that data derived from in situ turbidity sensors should directly correlate with total suspended solids (TSS) or particulate organic carbon (POC), these parameters were designated as useful ancillary data to characterize the abundance, and to a course extent, the type of particulate matter present in the test environments during the performance evaluation. Therefore, considerable effort was made to ensure and report the highest quality TSS and POC data possible. ACT applied site specific blank corrections to the raw data for both parameters in order to adjust the values to reflect truer, mean values. Toward this end, we also derived more conservative estimates of variance (as standard deviation) about these corrected means. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/791", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/791", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/791", "url": "https:\/\/hdl.handle.net\/11329\/791" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/722", "name": "Biological effects of contaminants: Radioimmunoassay (RIA) and enzyme-linked immunosorbent assay (ELISA) techniques for the measurement of marine fish vitellogenins.", "description": " - This document describes immunochemical methods to quantify the egg-yolk precursor protein vitellogenin in fish plasma. Vitellogenin is normally produced by the liver of mature female fish in response to 17\u03b2-oestradiol (E2) in the blood. If male or reproductively immature fish are exposed to oestrogenic substances, either in the water or the diet, their livers will also be stimulated to produce vitellogenin. Concentrations of vitellogenin in the plasma of induced and uninduced fish can differ by a factor of between 106 and 107. This makes vitellogenin induction in male and immature fish a very good biomarker for environmental oestrogens. All necessary steps in the development of both RIA (radioimmunoassay) and ELISA (enzyme-linked immunosorbent assay) are described, as are special precautions that need to be considered during the analysis of this protein. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/722", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/722", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/722", "url": "https:\/\/hdl.handle.net\/11329\/722" }, "author": [ { "@type": "Person", "name": "Scott, A. P." }, { "@type": "Person", "name": "Hylland, K." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1880", "name": "Divers as Citizen Scientists: Response Time, Accuracy and Precision of Water Temperature Measurement Using Dive Computers.", "description": " - There is a lack of depth-resolved temperature data, especially in coastal areas, which are often commonly dived by SCUBA divers. Many case studies have demonstrated that citizen science can provide high quality data, although users require more confidence in the accuracy of these data. This study examined the response time, accuracy and precision of water temperature measurement in 28 dive computers plus three underwater cameras, from 12 models. A total of 239 temperature response times (\u03c4) were collected from 29 devices over 11 chamber dives. Mean \u03c4 by device ranged from (17 \u00b1 6) to (341 \u00b1 69) s, with significant between-model differences found for \u03c4 across all models. Clear differences were found in \u03c4 by pressure sensor location and material, but not by size. Two models had comparable \u03c4 to designed-for-purpose aquatic temperature loggers. 337 mean data points were collected from equilibrated temperatures in hyperbaric chamber (n = 185) and sea (n = 152) dives, compared with baseline mean temperature from Castaway CTDs over the same time period. Mean bias, defined as mean device temperature minus baseline temperature, by model ranged from (0.0 \u00b1 0.5) to (\u22121.4 \u00b1 2.1) \u00b0C and by device from (0.0 \u00b1 0.6) to (\u22123.4 \u00b1 1.0) \u00b0C. Nine of the twelve models were found to have \u201cgood\u201d accuracy (\u22640.5 \u00b0C) overall. Irrespective of model, the overall mean bias of (\u22120.2 \u00b1 1.1) \u00b0C is comparable with existing commonly used coastal temperature data sets, and within global ocean observing system accuracy requirements for in situ temperature. Our research shows that the quality of temperature data in dive computers could be improved, but, with collection of appropriate metadata to allow assessment of data quality, some models of dive computers have a role in future oceanographic monitoring. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1880", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1880", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1880", "url": "https:\/\/hdl.handle.net\/11329\/1880" }, "author": [ { "@type": "Person", "name": "Marlowe, Celia" }, { "@type": "Person", "name": "Hyder, Kieran" }, { "@type": "Person", "name": "Sayer, Martin D. J." }, { "@type": "Person", "name": "Kaiser, Jan" } ], "keywords": [ "Dive computers", "Citizen science", "Temperature measurement", "Accuracy", "Precision", "Response time", "Water column temperature and salinity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1383", "name": "Coastal Harmful Algae Bloom Monitoring via a Sustainable, Sail-Powered Mobile Platform.", "description": " - Harmful algae blooms (HABs) in coastal marine environments are increasing in number and duration, pressuring local resource managers to implement mitigation solutions to protect human and ecosystem health. However, insufficient spatial and temporal observations create uninformed management decisions. In order to better detect and map blooms, as well as the environmental conditions responsible for their formation, long-term, unattended observation platforms are desired. In this article, we describe a new cost-efficient, autonomous, mobile platform capable of accepting several sensors that can be used to monitor HABs in near real time. The Navocean autonomous sail-powered surface vehicle is deployable by a single person from shore, capable of waypoint navigation in shallow and deep waters, and powered completely by renewable energy. We present results from three surveys of the Florida Red Tide HAB (Karenia brevis) of 2017\u20132018. The vessel made significant progress toward waypoints regardless of wind conditions while underway measurements revealed patches of elevated chl. a likely attributable to the K. brevis blooms as based on ancillary measurements. Measurements of colored dissolved organic matter (CDOM) and turbidity provided an environmental context for the blooms. While the autonomous sailboat directly adds to our phytoplankton\/HAB monitoring capabilities, the package may also help to ground-truth satellite measurements of HABs if careful validation measurements are performed. Finally, several other pending and future use cases for coastal and inland monitoring are discussed. To our knowledge, this is the first demonstration of a sail-driven vessel used for coastal HAB monitoring. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - Macroalgal canopy cover and composition - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1383", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1383", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1383", "url": "https:\/\/hdl.handle.net\/11329\/1383" }, "author": [ { "@type": "Person", "name": "Beckler, Jordon S." }, { "@type": "Person", "name": "Arutunian, Ethan" }, { "@type": "Person", "name": "Moore, Tim" }, { "@type": "Person", "name": "Currier, Bob" }, { "@type": "Person", "name": "Milbrandt, Eric" }, { "@type": "Person", "name": "Duncan, Scott" } ], "keywords": [ "Harmful Algal Blooms", "HAB", "Remotely operated vehicle", "Karenia brevis", "CDOM", "Surface vehicle", "Satellite remote sensing", "Sail-powered surface vehicle", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/881", "name": "Second Report of the Joint Panel on Oceanographic Tables and Standards, held in Rome, 8-9 October 1965. [SUPERSEDED - trying to identify by which pub]", "description": " - Published - , - No.4 has now been incorporated into Unesco Technical Papers in Marine Science, No. 27. - , - Superseded - , - Sea surface salinity - , - Subsurface salinity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/881", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/881", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/881", "url": "https:\/\/hdl.handle.net\/11329\/881" }, "contributor": [ { "@type": "Organization", "name": "Unesco" } ], "keywords": [ "SCOR WG 10", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/991", "name": "Melt Procedure Affects the Photosynthetic Response of Sea Ice Algae.", "description": " - The accuracy of sea ice algal production estimates is influenced by the range of melting procedures used in studies to obtain a liquid sample for incubation, particularly in relation to the duration of melt and the approach to buffering for osmotic shock. In this research, ice algal photophysiology from 14C incubations was compared in field samples prepared by three melt procedures: (i) a rapid 4 h melt of the bottommost ( < 1 cm) ice algal layer scraped into a large volume of filtered seawater (salinity 27\u201330), (ii) melt of a bottom 5 cm section diluted into a moderate volume of filtered seawater over 24 h (salinity 20\u201324), and (iii) melt of a bottom 5 cm section without any filtered seawater dilution over about 48 h (salinity 10\u201312). Maximum photosynthetic rate, photosynthetic efficiency and production at zero irradiance were significantly affected by the melt treatment employed in experiments. All variables were greatest in the highly diluted scrape sample and lowest in the bulk-ice samples melted in the absence of filtered seawater. Laboratory experiments exposing cultures of the common sea ice diatom Nitzschia frigida to different salinities and light conditions suggested that the field-based responses can be attributed to the rapid ( < 4 h) adverse effects of exposing cells to low salinities during melt without dilution. The observed differences in primary production between melt treatments were estimated to account for over 60% of the variability in production estimates reported for the Arctic. Future studies are strongly encouraged to replicate salinity conditions representative of in situ values during the melting process to minimize hypoosmotic stress, thereby most accurately estimating primary production. - , - Refereed - , - Sea Ice - , - Guide - , - 2018-10-01 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/991", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/991", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/991", "url": "https:\/\/hdl.handle.net\/11329\/991" }, "author": [ { "@type": "Person", "name": "Campbell, Karley" }, { "@type": "Person", "name": "Mundy, C. J." }, { "@type": "Person", "name": "Juhl, Andrew R." }, { "@type": "Person", "name": "Dalman, Laura A." }, { "@type": "Person", "name": "Michel, Christine" }, { "@type": "Person", "name": "Galley, Ryan J." }, { "@type": "Person", "name": "Else, Brent E." }, { "@type": "Person", "name": "Geilfus, Nicolas X." }, { "@type": "Person", "name": "Rysgaard, S\u00f8ren" } ], "keywords": [ "Algae", "Salinity stress", "Photophysiology", "Sample melt", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2154", "name": "Global Online Workshops on SDG 14.4.1. Proportion of fish stocks within biologically sustainable levels. Parts 1-3. [TRAINING COURSE]", "description": " - - , - FAO - , - - , - 14.4.1 - , - Fish abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Species abundances - , - Guidelines & Policies - , - Method - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2154", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2154", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2154", "url": "https:\/\/hdl.handle.net\/11329\/2154" }, "keywords": [ "Stock monitoring", "Stock assessment", "SDG 14.4.1", "Training Course", "Fish stocks", "FAO", "Fish", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/565", "name": "NWLON\/DMS Quality Control Software (QC): Functional Requirements Document (2000 Revised 2004).", "description": " - This document contains the functional requirements for the application software associated with the quality control process executed during the ingestion of data into DIS and the process for placing data into the NWLON DMS. The task of preparing these requirements is the responsibility of the Information Systems Division (ISD), with guidance from the Products and Services Division (PSD) and the Requirements and Development Division (RDD). - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/565", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/565", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/565", "url": "https:\/\/hdl.handle.net\/11329\/565" }, "author": [ { "@type": "Person", "name": "Nault, J." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2418", "name": "An automatic identification algorithm of internal solitary wave for mooring data based on geometric characteristics of the flow field.", "description": " - Internal solitary wave (ISW) is one of the most important sub-mesoscale phenomenas in the ocean, and detection of which is of utmost significance for marine exploitation, ecological environment protection and military affairs. Therefore, in this study, an automatic algorithm for the identification of ISWs was proposed based on the geometric characteristics of the flow field. The algorithm was applied to calculate the characteristic parameters of the ISWs and its reliability was further verified, indicating that the algorithm can effectively detect the ISWs and provide a reference for preventing and avoiding ISWs in ocean engineering. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2418", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2418", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2418", "url": "https:\/\/hdl.handle.net\/11329\/2418" }, "author": [ { "@type": "Person", "name": "Rong, Lintai" }, { "@type": "Person", "name": "Xiong, Xuejun" }, { "@type": "Person", "name": "Chen, Liang" } ], "keywords": [ "Internal solitary waves (ISWs)", "Internal wave current", "Wavelet transform", "Algorithm", "Identification", "Waves", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2156", "name": "FAIR Data Maturity Model Specification and Guidelines. [Proposed recommendation; version for public review]", "description": " - The FAIR Data Maturity Model defines a set of indicators, their priorities and evaluation methods for the evaluation of the FAIR principles to be used as a common approach across assessment methodologies. This document specifies the indicators for the FAIR assessment designed for re-use in evaluation approaches and provides guidelines for their use. The guidelines are intended to assist evaluators to implement the indicators in the evaluation approach or tool they manage. The exact way to evaluate data based on the core criteria is up to the owners of the evaluation approaches, taking into account the requirements of their community. The objective here is then to make sure that the indicators, the maturity levels and the prioritisation are understood in the same way. The maturity model is not meant as a \u201chow to\u201d, but instead as a way to normalise assessment. Findability, Accessibility, Interoperability and Reusability \u2013 the FAIR principles \u2013 intend to define a minimal set of related but independent and separable guiding principles and practices that enable both machines and humans to find, access, interoperate and re-use research data and metadata. The FAIR principles have to be considered as inspiring concepts but not strict rules. Unfortunately, they often lead to diverse interpretations and ambiguity. To remedy the proliferation of FAIRness measurements based on different interpretations of the principles, the RDA Working Group \u201cFAIR data maturity model\u201d established in January 2019 aims to develop a common set of core assessment criteria for FAIRness, as an RDA Recommendation. In the course of 2019 and the first half of 2020, the WG established a set of indicators and maturity levels for those indicators. As a result of the work, a first set of guidelines and a checklist related to the implementation of the indicators were produced, with the objective to further align the guidelines for evaluating FAIRness with the needs of the community. - , - Published - , - Refereed - , - Current - , - Pilot or Demonstrated - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2156", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2156", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2156", "url": "https:\/\/hdl.handle.net\/11329\/2156" }, "author": [ { "@type": "Person", "name": "Herczog, Edit" }, { "@type": "Person", "name": "Russell, Keith" }, { "@type": "Person", "name": "Stall, Shelley" }, { "@type": "Person", "name": "Jones, Sarah" } ], "contributor": [ { "@type": "Organization", "name": "Research Data Alliance (RDA)" } ], "keywords": [ "FAIR Principles", "Core assessment criteria", "FAIRNess measurement", "Cross-discipline", "Metadata management", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1739", "name": "Arctic Research Plan FY2017-2021.", "description": " - The United States is an Arctic nation\u2014Americans depend on the Arctic for biodiversity and climate regulation and for natural resources. America\u2019s Arctic\u2014Alaska\u2014is at the forefront of rapid climate, environmental, and socio-economic changes that are testing the resilience and sustainability of communities and ecosystems. Research to increase fundamental understanding of these changes is needed to inform sound, science-based decision- and policy-making and to develop appropriate solutions for Alaska and the Arctic region as a whole. Created by an Act of Congress1 in 1984, and since 2010 a subcommittee of the National Science and Technology Council (NSTC) in the Executive Office of the President, the Interagency Arctic Research Policy Committee (IARPC) plays a critical role in advancing scientific knowledge and understanding of the changing Arctic and its impacts far beyond the boundaries of the Arctic. Comprising 14 Federal agencies, offices, and departments, IARPC is responsible for the implementation of a 5-year Arctic Research Plan in consultation with the U.S. Arctic Research Commission, the Governor of the State of Alaska, residents of the Arctic, the private sector, and public interest groups. This 5-year plan\u2014Arctic Research Plan FY2017-2021\u2014has nine goals: ---Enhance understanding of health determinants and improve the well-being of Arctic residents; -- Advance process and system understanding of the changing Arctic atmospheric composition and dynamics and the resulting changes to surface energy budgets; -- Enhance understanding and improve predictions of the changing Arctic sea ice cover; Increase understanding of the structure and function of Arctic marine ecosystems and their role in the climate system and advance predictive capabilities; -- Understand and project the mass balance of glaciers, ice caps, and the Greenland Ice Sheet, and their consequences for sea level rise; -- Advance understanding of processes controlling permafrost dynamics and the impacts on ecosystems, infrastructure, and climate feedbacks; -- Advance an integrated, landscape-scale understanding of Arctic terrestrial and freshwater ecosystems and the potential for future change; -- Strengthen coastal community resilience and advance stewardship of coastal natural and cultural resources by engaging in research related to the interconnections of people, natural and built environments; and -- Enhance frameworks for environmental intelligence gathering, interpretation, and application toward decision support. - , - National Science and Technology Council - , - Published - , - Refereed - , - Current - , - N\/A - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1739", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1739", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1739", "url": "https:\/\/hdl.handle.net\/11329\/1739" }, "contributor": [ { "@type": "Organization", "name": "Office of Science and Technology" } ], "keywords": [ "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1753", "name": "Guidelines for the handling of Covid-19 on vessels manned and operated by IMR. Version 5.4.", "description": " - The purpose of these guidelines is to give practical guidance for establishing efficient barriers to prevent the Covid-19 from entering vessels manned and operated by IMR, and to prevent the spreading of Covid-19 if the virus is present on board. - , - Published - , - Current - , - N\/A - , - Organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1753", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1753", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1753", "url": "https:\/\/hdl.handle.net\/11329\/1753" }, "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research" } ], "keywords": [ "Research Vessels", "COVID-19", "Health and Safety", "Safety", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2620", "name": "In situ deployment of sensors for at least two parameters characterizing the carbonate system. MINKE Deliverable D9.11. Version 2.0.", "description": " - This deliverable presents the outcomes of an inter-laboratory comparison (ILC) held in Marseille in November 2023, focused on in situ pH measurement using various sensor types. The ILC involved the deployment of 15 instruments across five temperature-controlled mesocosms, with regular reference pHT<\/sub> measurements based on spectrophotometry. Participants used both commercial and custom-built sensors applying colorimetric and ISFET technologies. The results were evaluated using GOA-ON criteria (weather and climate), z-scores, and normalized errors (En), with the aim of assessing performance and promoting the adoption of metrological best practices. The ILC also featured a parallel workshop to discuss the needs of the community and industry. This was the first exercise of its kind for pHT<\/sub> under field-like conditions within MINKE. - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Current - , - 14.a - , - Concept - , - Organisational - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2620", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2620", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2620", "url": "https:\/\/hdl.handle.net\/11329\/2620" }, "author": [ { "@type": "Person", "name": "Hartman, Susan" }, { "@type": "Person", "name": "Van Ganse, Sophie" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "LeFevre, Dominique" }, { "@type": "Person", "name": "Chirugien, Lotfi" }, { "@type": "Person", "name": "Wagner, T" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "Carnonate chemistry", "Inter-laboratory comparison", "pH measurement", "Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/373", "name": "GO-SHIP Repeat Hydrography Manual, Version 1 : Cover page and contents. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-833]", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/373", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/373", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/373", "url": "https:\/\/hdl.handle.net\/11329\/373" }, "author": [ { "@type": "Person", "name": "Hood, E.M." }, { "@type": "Person", "name": "Sabine, C.L." }, { "@type": "Person", "name": "Sloyan, B.M." } ], "keywords": [ "GO-SHIP", "GO-SHIP", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1418", "name": "The Singapore Statement on Research Integrity.", "description": " - The Singapore Statement on Research Integrity, drafted at the Second World Conference on Research Integrity, which took place in Singapore from July 21 to 24, 2010, is an important step toward promoting ethical conduct among scientists around the world. The 340 conference attendees included scientists, journal editors, academic and industry leaders, and representatives from government funding agencies and publishers from over 51 countries. Nanyang Technological University, the National University of Singapore, the Singapore Management University, and the Agency for Science, Technology, and Research hosted the gathering, with support from Singapore\u2019s Ministry of Education and National Research Foundation. The Singapore statement was drafted by conference co-chairs, Nicholas Steneck (University of Michigan) and Tony Mayer (Nanyang Technological University), and the incoming chair for the next World Conference, Melissa Anderson (University of Minnesota). In contrast to the First World Conference, which took place in Lisbon, Portugal in 2007 and focused on misconduct issues, the goal of the Second World Conference was to make a concerted effort to promote global research integrity (Kleinert, 2010a,b). The Singapore Statement is the fruit of this endeavor. - , - Refereed - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1418", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1418", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1418", "url": "https:\/\/hdl.handle.net\/11329\/1418" }, "author": [ { "@type": "Person", "name": "Resnik, David B." }, { "@type": "Person", "name": "Shamoo, Adil E." } ], "keywords": [ "Singapore Statement", "Research integrity", "Ethics", "International research", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1535", "name": "Citing Aquatic Monitoring Data Sets: Best Practice Recommendations for Authoritative Data Citation.", "description": " - The use of data generated from long term monitoring efforts necessitates accurate authoritative source citations of those data to ensure credit for data collected, and accountability for the data quality to enable repeated retrieval of a given data set. Data sets used in published reports and articles are increasingly being considered objects that are required to be published and cited. Aggregating data into open access databases is becoming common and is the focus of the Coordinated Assessment for Salmon and Steelhead project (CA; https:\/\/www.pnamp.org\/project\/coordinated-assessments-for-salmon-and-steelhead; http:\/\/www.streamnet.org\/data\/coordinated-assessments\/) and National Marine Fisheries Service, National Oceanic and Atmospheric Administration Salmon Population Summary (SPS; https:\/\/www.webapps.nwfsc.noaa.gov\/apex\/f?p=261:home:0) among others. Guidelines are needed for citing these long-term dynamic data sets that have many contributors. We explore best practices and provide recommendations for including robust metadata attributes within data sets to enable data publication and citation using the CA and SPS data repositories as case studies. From reviewing the current citations possible from the CA and the SPS we recommend at minimum that natural resource monitoring databases contain: metadata to identify organizations that generated the data; contact persons for each organization that contributes data to an aggregated data set; and that metadata be incorporated into databases to enable auto-generated citations that recognize all contributing organizations with time-stamped versions of the data delivered. Beyond those minimums, additional best practice recommendations include this suite of metadata elements that identify a given data set upon citation or publication: author(s); publication date; description of data; file format(s) of data - e.g. tiles, shapefile sets, images, text files; dates data were collected; locations where data were collected; producers\/contributors to the data set version cited; date data set was downloaded; original data repository from which the data were obtained; version identifier to note significant change to a data set; and a persistent identifier that can be used to locate that version of the data. - , - Published - , - data citation, data attribution, salmonid recovery, data sets, Pacific Northwest, monitoring, salmon, metadata - , - Current - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1535", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1535", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1535", "url": "https:\/\/hdl.handle.net\/11329\/1535" }, "author": [ { "@type": "Person", "name": "Olson, Sheryn J." }, { "@type": "Person", "name": "Barnas, Katie A." }, { "@type": "Person", "name": "Williams, Margaret R." }, { "@type": "Person", "name": "Wheaton, Christopher" }, { "@type": "Person", "name": "Banach, Michael J." }, { "@type": "Person", "name": "Bayer, Jennifer M." } ], "contributor": [ { "@type": "Organization", "name": "Pacific Northwest Aquatic Monitoring Partnership, U.S. Geological Survey" } ], "keywords": [ "Data attribution", "Datasets", "Metadata", "Data Management Practices::Data citation", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1885", "name": "Lessons learnt and best practices of managing coastal risk from local communities\u2019 perspectives.", "description": " - The objective here is to present how various hazards affecting coastal areas impact the local communities in selected countries, and how these matters are being managed by national, regional and local governmental institutions. This analysis was conducted for nine countries, namely Bangladesh, Costa Rica, Gabon, Ghana, Lebanon, Myanmar, Senegal, Uruguay and Venezuela. The information is organised in nine national chapters with a similar structure: first, a general presentation of the country and its coastal zone; secondly, an overview of the main natural hazards affecting their coasts; then, the management of such hazards is described at national and local level; this is followed by a description of concrete adaptation measures; and, to conclude, some final remarks to reinforce key ideas or set guidelines for future governance in the country. From the perspective of the local communities, this publication also intends to present lessons learnt and good practices emerging from the national experiences with natural hazards affecting the coastal zone. This work is part of the activities led by the MSPglobal Initiative of the Intergovernmental Oceanographic Commission (IOC) of UNESCO and European Commission, and is supported by the Government of Sweden. It relates to the projects 2020 Regional and global development actions in support of Ocean Literacy for all and the Joint Roadmap on marine spatial planning process worldwide in the context of the UN Decade of Ocean Science for Sustainable Development. To carry out the work, IOC-UNESCO gathered a group of international consultants from various backgrounds related to marine sciences to review previous and ongoing national public strategies, plans and actions dealing with coastal Location map zone management, coastal risk management and conservation of coastal areas. Scientific publications and technical reports addressing coastal hazards and the vulnerability of coastal communities were also considered in this review, as well as publications by diverse bodies of the United Nations. Finally, the international consultants of each analysed country also obtained and examined the perceptions of scientists, civil society actors, municipality managers and technicians, and representatives of coastal communities through a series of interviews aimed at providing additional information drawn from the bibliographic analysis. These stakeholders were requested to assess current and future risks, identify key priorities requiring intervention and highlight potential recommendations based on their experience in their respective sectors and institutions - , - EU, European Union, Sweden - , - Published - , - Contributing authors: Sanjoy Roy, Natalia Sol\u00eds-Miranda , Brice Koumba Mabert , Kwadwo Osei Hwedie, Vera Noon , Thet Oo Mon , Nassirou Gueye (, M\u00f3nica G\u00f3mez-Erache , Ana Carolina Peralta-Brichtova - , - Refereed - , - Current - , - 14.2 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1885", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1885", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1885", "url": "https:\/\/hdl.handle.net\/11329\/1885" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC" } ], "keywords": [ "Marine spatial planning", "MSP", "Hazards", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1469", "name": "Briefing for Ocean Best Practices System advocates during UN Decade of Ocean Science for Sustainable Development meetings held at National Institute of Ocean Technology, Ministry of Earth Sciences, India on 10th January 2020.", "description": " - The session on ocean best practices was held as part of UN Decade of Ocean Science for sustainable development (2021-2030) on 10thJanuary 2020.The meeting was attended by 75 Participants from 19Countries viz India, USA, Tunisia, Australia, Congo, Sri Lanka, Bangladesh, Cameroon, Tanzania, Maldives, France, UK, Russia, Saudi Arabia, Australia, Kuwait Indoos, Fugro (Industry)participated in the workshop. A List of participants is attached as Annexure. - , - Published - , - Non Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1469", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1469", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1469", "url": "https:\/\/hdl.handle.net\/11329\/1469" }, "author": [ { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Thurston, Sidney" } ], "contributor": [ { "@type": "Organization", "name": "National Institute of Ocean Technology" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/573", "name": "Estimating Accuracies Of Tidal Datums From Short Term Observations.", "description": " - This paper develops multiple curvilinear regression equations that estimate the accuracy of computed 19 year equivalent tidal datums at tide stations with one or more months of data. These regression equations are simple to use, quantitative, and consider individual station characteristics. The parameters affecting the accuracy of the computed tidal datums are discussed along with the relative accuracy of the standard method and the alternate method of simultaneous comparison. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/573", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/573", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/573", "url": "https:\/\/hdl.handle.net\/11329\/573" }, "author": [ { "@type": "Person", "name": "Bodnar, N.A." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1922", "name": "European Mollusc Producers\u2019 Association Best practices in the shellfish\/fish farming industry. [Presentation at the EATiP\/OBPS Best Practices in Aquaculture Workshop, 05 April 2022 (Online)]", "description": " - Even if good practices are often the prerogative of technicians, in a top-down approach, some are also implemented by professionals themselves and on their initiative in a bottom-up scheme. The needs in this area are and will remain (for a certain time) those relating to the planning of spaces to develop our activities at sea, those which will make it possible to collect data, including environmental data, by associating companies and their organizations, avoiding duplicates and all those that will allow us to continue to better sell a quality product at a price that distributes the added value at all levels of the sector up to the end consumer. - , - Published - , - Current - , - 14.a - , - Multi-organisational - , - International - , - Methodological commentary\/perspect - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1922", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1922", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1922", "url": "https:\/\/hdl.handle.net\/11329\/1922" }, "author": [ { "@type": "Person", "name": "Guillaumie, Bruno" } ], "contributor": [ { "@type": "Organization", "name": "European Mollusc Producers\u2019 Association" } ], "keywords": [ "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/288.2", "name": "Manual for Real-Time Quality Control of High Frequency Radar Surface Current Data: a Guide to Quality Control and Quality Assurance for High Frequency Radar Surface Current Observations. Version 2.0.", "description": " - The U.S. Integrated Ocean Observing System\u00ae (IOOS\u00ae) has a vested interest in collecting high quality data for the 34 core variables (https:\/\/ioos.noaa.gov\/about\/ioos-by-the-numbers) measured on a national scale. In response to this interest, U.S. IOOS continues to establish written, authoritative procedures for the quality control (QC) of real-time data through the Quality Assurance\/Quality Control of Real-Time Oceanographic Data (QARTOD) program, addressing each variable as funding permits (UNESCO 1993). This manual update on the real-time QC of high frequency (HF) radar surface currents represents the ninth core variable to be addressed. Other QARTOD guidance documents that have been published by the U.S. IOOS project to date are listed below and are also available at https:\/\/ioos.noaa.gov\/project\/qartod\/ - manuals. - , - US IOOS - , - Published - , - Refereed - , - Current - , - 14.a - , - Surface currents - , - Mature - , - National - , - International - , - Sea surface currents - , - High frequency radar surface current sensor - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/288.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/288.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/288.2", "url": "https:\/\/hdl.handle.net\/11329\/288.2" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Worthington, Helen" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "HF radar", "IOOS", "QARTOD", "Currents", "Surface current radar", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1563.2", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: May 2015 to November 2016. Version 3.2.", "description": " - The East Australian Current (EAC) is a complex and highly energetic western boundary system in the south-western Pacific off eastern Australia. It provides both the western boundary of the South Pacific gyre and the linking element between the Pacific and Indian Ocean gyres. The EAC deepwater moorings consisted of an array of full-depth current meter and property (CTD) moorings from the continental slope to the abyssal waters off Brisbane (27oS). This report details the quality control applied to the data collected from the EAC array (deployed from May, 2015 to November, 2016). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - Mature - , - Best Practice - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1563.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1563.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1563.2", "url": "https:\/\/hdl.handle.net\/11329\/1563.2" }, "author": [ { "@type": "Person", "name": "Lovell, Jenny" }, { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2117", "name": "An open,efficient, and transparent spatial reproducible reporting tool for data discovery and science advice.", "description": " - Open and reproducible research practices offer a means to keep pace with rapidly expanding knowledge as science becomes increasingly data-intensive.The Science branch of Fisheries and Oceans Canada (DFO) encompasses a range of research topics yet approaches to data governance are often impeded by siloed groups and out dated workflows. Using R for coding and Git for version control,we developed a tool that generates automated reports to enable data-discovery of DFO and non-DFO information within the Maritimes region.We focus our framework on co-creation between report users,data providers,and experts to document and identify datasets along with their caveats,uncertainties,or other disclaimers.We also proactively use this as an opportunity to increase collaboration and transparency within DFO by highlighting how reproducible methods can increase efficiency and modernize workflows. Reports currently summarize over thirty datasources, with approximately twenty Reports generated thus far.This tool has reduced time spent compiling and documenting data from weeks to several minutes, allowing more time for better science. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2117", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2117", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2117", "url": "https:\/\/hdl.handle.net\/11329\/2117" }, "author": [ { "@type": "Person", "name": "Stoyel, Quentin" }, { "@type": "Person", "name": "Finnis, Stephen" }, { "@type": "Person", "name": "Gomez, Catalina" }, { "@type": "Person", "name": "Lazin, Gordana" }, { "@type": "Person", "name": "Daigle, R\u00e9mi" }, { "@type": "Person", "name": "Brager, Lindsay" }, { "@type": "Person", "name": "Hamer, Adrian" }, { "@type": "Person", "name": "Smith, Charlotte" }, { "@type": "Person", "name": "Beauchesne, David" }, { "@type": "Person", "name": "Cazelles, Kevin" }, { "@type": "Person", "name": "Butler, Sean" } ], "contributor": [ { "@type": "Organization", "name": "Bedford Institute of Oceanography" } ], "keywords": [ "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1331", "name": "Protocol for IMOS HPLC pigment sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures - Protocol for IMOS HPLC pigment sample collection on YouTube (2.24 mins) ... - , - Published - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1331", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1331", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1331", "url": "https:\/\/hdl.handle.net\/11329\/1331" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "HPCL", "Protocols", "Pigment particles", "Biogeochemical water sampling", "Parameter Discipline::Biological oceanography::Pigments", "Instrument Type Vocabulary::high performance liquid chromatographs" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2009", "name": "Guidelines for sampling and determination of dissolved oxygen in seawater.", "description": " - The dissolved oxygen (DO) content in seawater is controlled by several unrelated processes including exchange with air, metabolism of plants and animals, microbial and chemical decomposition of organic matter, hydrodynamic features such as mixing, advection, convection, and up- or down-welling. The DO content is always the result of multifactorial influences and the reasons for changes may be difficult to assess. In stratified Baltic waters, DO depletion occurs regularly below the halocline. When only physical processes are involved, the DO concentration in water is governed by the laws of solubility, i.e., it is a function of atmospheric pressure, water temperature, and salinity. The corresponding equilibrium concentration is generally called solubility. It is an essential reference for the interpretation of DO data. Precise solubility data, tables, and mathematical functions have been established (Carpenter, 1966; Murray and Riley, 1969; Weiss, 1970) and adopted by the international community (UNESCO, 1973). However, Weiss (1981) drew attention to an error in the international tables in which the values are low by 0.10 % since they are based on ideal gas molar volume instead of actual dioxygen molar volume. Later, the Joint Panel on Oceanographic Tables and Standards (JPOTS) recommended that the oxygen solubility equation of Benson and Krause (1984), which incorporated improved solubility measurements, be adopted and the tables updated (UNESCO, 1986). However, the UNESCO paper only referred to the equation that gives concentrations in the unit \u03bcmol kg-1. 1.2 Purpose and aims Monitoring of dissolved oxygen and hydrogen sulphide can provide information of an indirect effect of eutrophication, but hydrogen sulphide and oxygen depletion is also a naturally occurring condition in some areas. The purpose of the monitoring is to map the spatial distribution of concentrations of dissolved oxygen and hydrogen sulphide, with the aim to be able to assess the status of the seafloor and the waters above and to ensure that the data is comparable for the HELCOM pre-core indicator \u2018Shallow water oxygen\u2019 and core indicator \u2018Oxygen debt\u2019. The indicator descriptions, including their monitoring requirements, are given in the HELCOM core indicator web site: http:\/\/www.helcom.fi\/baltic-sea-trends\/indicators\/oxygen- - , - Published - , - Refereed - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2009", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2009", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2009", "url": "https:\/\/hdl.handle.net\/11329\/2009" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hydrogen sulphide", "Dissolved gases", "dissolved gas sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/152", "name": "GF3: a General formatting system for geo-referenced data. Vol. 3. Standard subsets of GF3.", "description": " - Published - , - classical hydrocast data, digital wave records, measured wave spectra - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/152", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/152", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/152", "url": "https:\/\/hdl.handle.net\/11329\/152" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Geophysical data", "Sea level", "Sea level measurement", "Wave analysis", "Wave data", "Wave height", "Wave measurement", "Sea surface", "Drifting data buoys", "Bathymetric data", "Bathymetry", "Mean sea level", "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2438", "name": "EuroGOOS Data Policy 2023.", "description": " - In 2023, EuroGOOS developed a new data policy which requires its members\u2019 commitment to share core ocean data openly according to the FAIR principles and clear licences. By core in situ ocean data we mean, at least, the physical and biogeochemical Essential Ocean Variables (EOVs) which are necessary for the Copernicus Marine Service and the EuroGOOS Regional Operational Oceanographic Systems (ROOS), including coastal services, as well as the services delivered by the European Marine Observation and Data Network (EMODnet). This policy is the European implementation of the IOC Data Policy and Terms of Use. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2438", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2438", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2438", "url": "https:\/\/hdl.handle.net\/11329\/2438" }, "contributor": [ { "@type": "Organization", "name": "European Global Ocean Observing System (EuroGOOS)" } ], "keywords": [ "Data policy development", "EuroGOOS", "Data policy", "Cross-discipline", "Data policy development", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/449", "name": "Argo User\u2019s Manual Version 3.2, September 11th 2017.", "description": " - This document is the Argo data user\u2019s manual. It contains the description of the formats and files produced by the Argo Data Assembly Centres (DACs). - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/449", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/449", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/449", "url": "https:\/\/hdl.handle.net\/11329\/449" }, "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Argo floats", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/906", "name": "Engineering Study: ADCP Platform and Mooring Designs for CO-OPS Current Surveys. An Engineering Review of Existing Platforms and Moorings for the 2006 Field Season.", "description": " - This engineering review focuses on bottom-mounted and subsurface taut-moored platforms. During 2001-2005 there were 48 bottom-mounted deployments in Maine, New York (Hudson River), Southeast Alaska, and California. These deployments used the Flotation Technology AL-200, Mooring Systems, Incorporated (MSI) Tripod, and ES I, II, III, and IV. The ES platforms were designed in-house by Dr. Eddie Shih. Between 2001 and 2005, there were 57 subsurface mooring deployments in Alaska, California, and Delaware Bay, with a recovery rate of 98%. These deployments used the Open Seas Instrumentation Streamlined Underwater Buoy System (SUBS) Model A2. The overall success rate for deployments of both platforms was 94%. Of the 105 total deployments, 99 were successfully deployed and recovered. Of the 48 bottom-mounts, 43 were successfully deployed and recovered (90% success) and of the 57 SUBS, 56 were successfully deployed and recovered (98% success). The most recent results have been even better, with 100% of the Hudson River and Southeast Alaska deployments\/recoveries being successful. - , - Published - , - Non Refereed - , - Current - , - Subsurface currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/906", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/906", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/906", "url": "https:\/\/hdl.handle.net\/11329\/906" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Shih, Eddie" }, { "@type": "Person", "name": "Sprenke, Jim" }, { "@type": "Person", "name": "Stone, Peter" }, { "@type": "Person", "name": "Grissom, Karen" }, { "@type": "Person", "name": "Krug, Warren" }, { "@type": "Person", "name": "Ewald, Jennifer" } ], "contributor": [ { "@type": "Organization", "name": "NOAA\/NOS\/CO-OPS\/OSTEP" } ], "keywords": [ "Taut-moored ADCPs", "Bottom-mounted ADCPs", "Mooring deployment", "Risk assessment", "Mooring failure", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Mooring modelling" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2284", "name": "A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness.", "description": " - This paper describes a new satellite simulator for the CLARA-A2 climate data record (CDR). This simulator takes into account the variable skill in cloud detection in the CLARA-A2 CDR by using a different approach to other similar satellite simulators to emulate the ability to detect clouds. In particular, the paper describes three methods to filter out clouds from climate models undetectable by observations. The first method is comparable to the current simulators in the Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package (COSP), since it relies on a single visible cloud optical depth at 550 nm (tau(c)) threshold applied globally to delineate cloudy and cloud-free conditions. Methods two and three apply long\/lat-gridded values separated by daytime and nighttime conditions. Method two uses gridded varying tc as opposed to method one, which uses just a tau(c) threshold, and method three uses a cloud probability of detection (POD) depending on the model tau(c). The gridded POD values are from the CLARA-A2 validation study by Karlsson and Hakansson (2018). Methods two and three replicate the relative ease or difficulty for cloud retrievals depending on the region and illumination. They increase the cloud sensitivity where the cloud retrievals are relatively straightforward, such as over midlatitude oceans, and they decrease the sensitivity where cloud retrievals are notoriously tricky, such as where thick clouds may be inseparable from cold snow-covered surfaces, as well as in areas with an abundance of broken and small-scale cumulus clouds such as the atmospheric subsidence regions over the ocean. The simulator, together with the International Satellite Cloud Climatology Project (ISCCP) simulator of the COSP, is used to assess Arctic clouds in the EC-Earth climate model compared to the CLARA-A2 and ISCCP H-Series (ISCCP-H) CDRs. Compared to CLARA-A2, EC-Earth generally underestimates cloudiness in the Arctic. However, compared to ISCCP and its simulator, the opposite conclusion is reached. Based on EC-Earth, this paper shows that the simulated cloud mask of CLARA-A2, using method three, is more representative of the CDR than method one used for the ISCCP simulator. The simulator substantially improves the simulation of the CLARA-A2-detected clouds, especially in the polar regions, by accounting for the variable cloud detection skill over the year. The approach to cloud simulation based on the POD of clouds depending on their tau(c), location, and illumination is the preferred one as it reduces cloudiness over a range of cloud optical depths. Climate model comparisons with satellite-derived information can be significantly improved by this approach, mainly by reducing the risk of misinterpreting problems with satellite retrievals as cloudiness features. Since previous studies found that the CLARA-A2 CDR performs well in the Arctic during the summer months, and that method three is more representative than method one, the conclusion is that EC-Earth likely underestimates clouds in the Arctic summer. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2284", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2284", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2284", "url": "https:\/\/hdl.handle.net\/11329\/2284" }, "author": [ { "@type": "Person", "name": "Eliasson, Salomon" }, { "@type": "Person", "name": "Karlsson, Karl-Goran" }, { "@type": "Person", "name": "Willen, Ulrika" } ], "keywords": [ "Cloud Feedback Model Intercomparison Project (CFMIP)", "Observation Simulator Package (COSP)", "CLARA-A2 climate data record (CDR)", "Cloud fraction", "Cloud microphysics", "Cloud top height (CTH)", "Climate model", "Meteorology", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1929", "name": "App D13.09 - Underwater noise baseline and modelling (Revision 1.0).", "description": " - Horizon Nuclear Power (Horizon) intends to submit a separate Development Consent Order (DCO) and Marine Licence application for a new Nuclear Power Station on land adjacent to the Existing Power Station. The proposed development site is located on the Wylfa peninsula, extending into the Irish Sea between the bays of Cemlyn and Cemaes, on the northern tip of the Isle of Anglesey off the north Wales coast. An Environmental Statement is being prepared to accompany the application. Subacoustech Environmental (Subacoustech) has undertaken underwater noise modelling in order to assess the possible noise impacts to marine fauna resulting from the various activities planned during construction at the Wylfa Newydd Power Station. Marine construction activities include rock breaking and dredging to enable vessels to reach the site as well as piling and drilling in order to construct cofferdams and construction of breakwaters. The results of the modelling have been presented in terms of biologically significant metrics and criteria. - , - Published - , - Published in: Wylfa Newydd Project 6.4.91 ES Volume D - WNDA Development App D13-9 - Underwater Noise Baseline and Modelling. PINS Reference Number: EN010007 Application Reference Number: 6.4.91; June 2018; Revision 1.0 ; Regulation Number: 5(2)(a) Planning Act 2008; Infrastructure Planning (Applications: Prescribed Forms and Procedure) Regulations 2009 - , - Current - , - 14.a - , - Mature - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1929", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1929", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1929", "url": "https:\/\/hdl.handle.net\/11329\/1929" }, "author": [ { "@type": "Person", "name": "Barham, Richard" } ], "contributor": [ { "@type": "Organization", "name": "Subacoustech Environmental Ltd" } ], "keywords": [ "Noise pollution", "Noise effects", "Underwater noise", "Human activity", "Construction and structures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2533", "name": "CEN EN 17211. Water quality - Guidance on mapping of seagrasses and macroalgae in the eulittoral zone.", "description": " - This document provides guidance for survey design, equipment specification, survey methods, sampling and data handling of macroalgae and marine angiosperms such as Zostera in the intertidal soft bottom environment. It does not include polyeuryhaline terrestrial angiosperms that are found in saltmarshes. Ruppia is a genus of angiosperms that can be found in brackish water. This document can also be applied to the study of Ruppia in these environments. The document comprises: - development of a mapping and sampling programme; - requirements for mapping and sampling equipment; - procedures for remote sensing data collection; - procedures for direct mapping and sampling in the field; - recommendations for taxon identification and biomass determination; - data handling. - , - Published - , - Refereed - , - Current - , - 14.a - , - Seagrass cover and composition - , - Macroalgal canopy cover and composition - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2533", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2533", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2533", "url": "https:\/\/hdl.handle.net\/11329\/2533" }, "contributor": [ { "@type": "Organization", "name": "Comit\u00e9 Europ\u00e9en de Normalisation\/European Committee for Standardization (CEN)" } ], "keywords": [ "Sampling programme", "Taxon identification", "Remote sensing data collection", "Macroalgae and seagrass", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2554.2", "name": "ICES Survey Protocols \u2013 Inshore beam trawl surveys, coordinated by Working Group on Beam Trawl Surveys (WGBEAM).", "description": " - This manual describes the current methodologies, stratification, and sample processing used in the inshore beam-trawl surveys that provide fisheries-independent information to the fish stock assessments for flatfish species (often recruitment indices), as well as for elasmobranch species. Additionally, the inshore survey DYFS provides data for stock assessment of Crangon crangon. The inshore surveys included are conducted by Belgium, Germany, and the Netherlands. The manual contains an overview of the major historical changes in survey methodology and\/or data collection; it also provides an overview of the main points of attention for data users and recommended data processing. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2554.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2554.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2554.2", "url": "https:\/\/hdl.handle.net\/11329\/2554.2" }, "author": [ { "@type": "Person", "name": "Beier, U." }, { "@type": "Person", "name": "de Boois, I.J." }, { "@type": "Person", "name": "Haslob, H." }, { "@type": "Person", "name": "Raat, H." }, { "@type": "Person", "name": "Vrooman, J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Beam trawl", "Biological data", "Fish abundance", "Epibenthos", "Marine litter", "DATRAS", "Demersal Young Fish Survey", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/855", "name": "Plankton Biomass Models Based on GIS and Remote Sensing Technique for Predicting Marine Megafauna Hotspots in the Solor Waters. [ Presented at 2nd International Conference of Indonesian Society for Remote Sensing (ICOIRS) 2016].", "description": " - Geographic information system and remote sensing techniques can be used to assist with distribution modelling; a useful tool that helps with strategic design and management plans for MPAs. This study built a pilot model of plankton biomass and distribution in the waters off Solor and Lembata, and is the first study to identify marine megafauna foraging areas in the region. Forty-three samples of zooplankton were collected every 4 km according to the range time and station of aqua MODIS. Generalized additive model (GAM) we used to modelling zooplankton biomass response from environmental properties.Thirty one samples were used to build a model of inverse distance weighting (IDW) (cell size 0.01\u00b0) and 12 samples were used as a control to verify the models accuracy. Furthermore, Getis-Ord Gi was used to identify the significance of the hotspot and cold-spot for foraging area. The GAM models was explain 88.1% response of zooplankton biomass and percent to full moon, phytopankton biomassbeing strong predictors. The sampling design was essential in order to build highly accurate models. Our models 96% accurate for phytoplankton and 88% accurate for zooplankton. The foraging behaviour was significantly related to plankton biomass hotspots, which were two times higher compared to plankton cold-spots. In addition, extremely steep slopes of the Lamakera strait support strong upwelling with highly productive waters that affect the presence of marine megafauna. This study detects that the Lamakera strait provides the planktonic requirements for marine megafauna foraging, helping to explain why this region supports such high diversity and abundance of marine megafauna. - , - Refereed - , - Zooplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/855", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/855", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/855", "url": "https:\/\/hdl.handle.net\/11329\/855" }, "author": [ { "@type": "Person", "name": "Putra, M.I.H" }, { "@type": "Person", "name": "Lewis, S.A." }, { "@type": "Person", "name": "Kurniasih, E.M." }, { "@type": "Person", "name": "Prabuning, D." }, { "@type": "Person", "name": "Faiqoh, E." } ], "keywords": [ "Parameter Discipline::Biological oceanography::Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1641", "name": "Ocean and Atmospheric Observations at the Remote Ieodo Ocean Research Station in the Northern East China Sea.", "description": " - For open ocean environments, it is rare to find continuous, simultaneous air and sea observation records due to the challenges of instrument installation and maintenance. The Ieodo Ocean Research Station (Ieodo ORS), a remote ocean site located in the northern East China Sea with its harsh oceanic and atmospheric environment, provides a platform for the concurrent monitoring of air and sea environments. Since 2014, the Korea Hydrographic and Oceanographic Agency has run the \u201cIeodo ORS field trip program,\u201d via which researchers are able to stay at the station for a week or more. This work reports technical lessons learned over 5 years from five Ieodo ORS research projects launched in 2016. Over the course of these projects, Ieodo ORS has monitored sea surface temperature, temperature and salinity in the water column, seawater pH, air pollutants, and solar radiation. The purpose of this paper is to facilitate the success of future research activities in similar environments by sharing our experiences and \u201cbest practices.\u201d - , - Refereed - , - 14.a - , - Sea surface temperature - , - Organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1641", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1641", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1641", "url": "https:\/\/hdl.handle.net\/11329\/1641" }, "author": [ { "@type": "Person", "name": "Byun, Do-Seong" }, { "@type": "Person", "name": "Jeong, Jin-Yong" }, { "@type": "Person", "name": "Kim, Duk-jin" }, { "@type": "Person", "name": "Hong, Sungmin" }, { "@type": "Person", "name": "Lee, Kyu-Tae" }, { "@type": "Person", "name": "Lee, Kitack" } ], "keywords": [ "Biofouling", "Ocean acidification", "Thermal infrared cameras", "TIR camera", "Salinity drift", "Physical oceanography", "CTD", "underwater cameras", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/716", "name": "Biological effects of contaminants: Quantification of metallothionein (MT) in fish liver tissue.", "description": " - This document describes methods to analyse the protein metallothionein in fish tissues. Metallothionein is induced by and binds essential (Cu, Zn) and non-essential (Cd, Hg) metals and is used in monitoring programmes as a marker for environmental metal exposure. The main focus is on the use and development of immunochemical procedures (ELISA). In addition, two alternative methods, electrochemical and spectrophotometric, are described. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/716", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/716", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/716", "url": "https:\/\/hdl.handle.net\/11329\/716" }, "author": [ { "@type": "Person", "name": "Hylland, K." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2110", "name": "Aquaculture Facility Certification BAP Farm Standard Issue 3.0 \u2013 01-March-2021 Best Aquaculture Practices Certification Standards, Guidelines.", "description": " - The following Best Aquaculture Practices (BAP) standards apply to the farming of finfish, crustaceans, and other aquatic invertebrates. They cover all production methods, including flow-through, partial exchange, and closed or recirculating aquaculture systems operated in ponds, cages, net pens, tanks, raceways, or closed-containment vessels. Not covered under these standards are: \u2022 Salmonids reared in net pens in marine waters (refer to BAP Salmon Farm Standard), \u2022 Bivalve Mollusks (refer to the BAP Mollusk Farm Standard), \u2022 Aquaculture facilities that produce eggs and\/or juvenile aquatic animals for live transfer to other aquaculture facilities (refer to BAP Hatchery and Nursery Standard). The BAP standards are achievable, science-based and continuously improved global performance standards for the aquaculture supply chain that assure healthful foods produced through environmentally and socially responsible means. They are designed to assist program applicants in performing self-assessments of the environmental and social impacts, and food safety controls of their facilities. BAP Standards lead to certification of compliance after verification of the applicant\u2019s facilities by BAP approved third-party certification bodies. - , - Published - , - Refereed - , - Current - , - 15 - , - Mature - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2110", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2110", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2110", "url": "https:\/\/hdl.handle.net\/11329\/2110" }, "contributor": [ { "@type": "Organization", "name": "Best Aquaculture Practices" } ], "keywords": [ "Aquaculture", "Standards", "Fish farming", "Finfish", "Crustaceans", "Invertebrates", "Certification", "Global Seafood Alliance", "Habitat" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1481", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report Remote Access Sampler: Sample Analysis Version 1.0. Phytoplankton Analysis 2009-2018.", "description": " - This report details the quality control procedures applied to the data from samples collected by the Remote Access water Sampler (McLane RAS 500) deployed on the SOTS and Pulse moorings between 2009 and 2019. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1481", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1481", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1481", "url": "https:\/\/hdl.handle.net\/11329\/1481" }, "author": [ { "@type": "Person", "name": "Eriksen, Ruth S." }, { "@type": "Person", "name": "Davies, Diana M." }, { "@type": "Person", "name": "Wynn-Edwards, Cathryn A." }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::discrete water samplers", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1978", "name": "European Long-Term Ecosystem and Socio-Ecological Research Infrastructure, D3.2 Governance and data policy for sharing and publishing of data.", "description": " - The site network of LTER Europe provides an important source of data for the assessment and understanding of ecosystem processes and their relation to environmental pressures and threats. LTER is organised by different national networks sharing a common conceptual basis, but managed by different organisations with their own funding regimes and organisation structures. The eLTER H2020 project aims to develop a common information management infrastructure for making data from the different distributed resources available, not only for the scientific expert but also for a more general use. Efforts are taken to harmonise measurements with the aim of building a sustainable research infrastructure for long term ecosystem observations. Innovative solutions are needed in order to allow the discovery and access of the data in near real time. This includes the documentation of the observation context as well as facilitating data services to provide online access to the data. Within eLTER H2020, an information infrastructure has been implemented to document and share the data. The system builds on a network of distributed data services integrated by a central discovery portal and federated data access components. This document addresses the social and related socio-technical aspects of data publishing within a network of distributed data sources. In the first part, data policies from the project partners as well as from thematically related research infrastructures and networks, together with Open Research Data Policy are evaluated. As a result, a common eLTER Data Policy and data sharing agreements within and beyond the project has been developed. In the second part of the document, governance issues of common data sharing principles are addressed. An overview on the actions taken to provide the basis of decisions for the design and the implementation of the eLTER data infrastructure are given. Also, the basic high-level user stories defined in order to provide a basis for the evaluation of different architectures and the related existing or planned tools are described. - , - European Union - , - Published - , - Annexes include: eLTER Data Sharing Policy draft - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1978", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1978", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1978", "url": "https:\/\/hdl.handle.net\/11329\/1978" }, "author": [ { "@type": "Person", "name": "Kunkel, Ralf" }, { "@type": "Person", "name": "Peterseil, Johannes" }, { "@type": "Person", "name": "Oggioni, Alessandro" }, { "@type": "Person", "name": "Wohner, Christoph" }, { "@type": "Person", "name": "Watkins, John" }, { "@type": "Person", "name": "Mini\u0107, Vladan" }, { "@type": "Person", "name": "Sorg, J\u00fcrgen" } ], "contributor": [ { "@type": "Organization", "name": "European Long-Term Ecosystem and Socio-Ecological Research Infrastructure (eLTER)" } ], "keywords": [ "Research infrastructures", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2107", "name": "COI Metabarcoding of Zooplankton Species Diversity for Time-Series Monitoring of the NW Atlantic Continental Shelf.", "description": " - Marine zooplankton are rapid-responders and useful indicators of environmental variability and climate change impacts on pelagic ecosystems on time scales ranging from seasons to years to decades. The systematic complexity and taxonomic diversity of the zooplankton assemblage has presented significant challenges for routine morphological (microscopic) identification of species in samples collected during ecosystem monitoring and fisheries management surveys. Metabarcoding using the mitochondrial Cytochrome Oxidase I (COI) gene region has shown promise for detecting and identifying species of some \u2013 but not all \u2013 taxonomic groups in samples of marine zooplankton. This study examined species diversity of zooplankton on the Northwest Atlantic Continental Shelf using 27 samples collected in 2002-2012 from the Gulf of Maine, Georges Bank, and Mid- Atlantic Bight during Ecosystem Monitoring (EcoMon) Surveys by the NOAA NMFS Northeast Fisheries Science Center. COI metabarcodes were identified using the MetaZooGene Barcode Atlas and Database (https:\/\/metazoogene.org\/MZGdb) specific to the North Atlantic Ocean. A total of 181 species across 23 taxonomic groups were detected, including a number of sibling and cryptic species that were not discriminated by morphological taxonomic analysis of EcoMon samples. In all, 67 species of 15 taxonomic groups had \u2265 50 COI sequences; 23 species had >1,000 COI sequences. Comparative analysis of molecular and morphological data showed significant correlations between COI sequence numbers and microscopic counts for 5 of 6 taxonomic groups and for 5 of 7 species with >1,000 COI sequences for which both types of data were available. Multivariate statistical analysis showed clustering of samples within each region based on both COI sequence numbers and EcoMon counts, although differences among the three regions were not statistically significant. The results demonstrate the power and potential of COI metabarcoding for identification of species of metazoan zooplankton in the context of ecosystem monitoring. - , - Refereed - , - 14.a - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Community abundance - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2107", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2107", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2107", "url": "https:\/\/hdl.handle.net\/11329\/2107" }, "author": [ { "@type": "Person", "name": "Bucklin, Ann" }, { "@type": "Person", "name": "Batta-Lona, Paola G." }, { "@type": "Person", "name": "Questel, Jennifer M." }, { "@type": "Person", "name": "Wiebe, Peter H." }, { "@type": "Person", "name": "Richardson, David E." }, { "@type": "Person", "name": "Copley, Nancy J." }, { "@type": "Person", "name": "O\u2019Brien, Todd D." } ], "keywords": [ "Species diversity", "Metabarcoding", "Cytochrome oxidase I", "Ecosystem monitoring", "Zooplankton", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1846", "name": "Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review.", "description": " - Fish biomass estimation is one of the most common and important practices in aquaculture. The regular acquisition of fish biomass information has been identified as an urgent need for managers to optimize daily feeding, control stocking densities and ultimately determine the optimal time for harvesting. However, it is difficult to estimate fish biomass without human intervention because fishes are sensitive and move freely in an environment where visibility, lighting and stability are uncontrollable. Until now, fish biomass estimation has been mostly based on manual sampling, which is usually invasive, time-consuming and laborious. Therefore, it is imperative and highly desirable to develop a noninvasive, rapid and cost-effective means. Machine vision, acoustics, environmental DNA and resistivity counter provide the possibility of developing nonintrusive, faster and cheaper methods for in situ estimation of fish biomass. This article summarizes the development of these nonintrusive methods for fish biomass estimation over the past three decades and presents their basic concepts and principles. The strengths and weaknesses of each method are analysed and future research directions are also presented. Studies show that the applications of information technology such as advanced sensors and communication technologies have great significance to accelerate the development of new means and techniques for more effective biomass estimation. However, the accuracy and intelligence still need to be improved to meet intensive aquaculture requirements. Through close cooperation between fisheries experts and engineers, the precision and the level of intelligence for fish biomass estimation will be further improved based on the above methods. - , - Refereed - , - 14.a - , - Fish abundance and distribution - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1846", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1846", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1846", "url": "https:\/\/hdl.handle.net\/11329\/1846" }, "author": [ { "@type": "Person", "name": "Li, Daoliang" }, { "@type": "Person", "name": "Hao, Yinfeng" }, { "@type": "Person", "name": "Duan, Yanqing" } ], "keywords": [ "Fish acoustics", "Fish biomass estimation", "Environmental DNA", "eDNA", "Machine vision", "Resistivity counter", "Fish", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/481", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 5. Volume VI: Special Topics in Ocean Optics Protocols, Part 2.", "description": " - Volume VI, Part 2 (Revision 5): This volume supplements the 5 chapters of Volume VI (Rev. 4), adding two new \u201cSpecial Topics\u201d chapters: \u00b7 Chapter 6 briefly reviews recent progress in protocols for instrument self shading corrections to inwater upwelled radiance measurements; \u00b7 Chapter 7 reviews recent advances in radiometric characterization and measurement methods that are directly relevant to ocean color remote sensing and validation of satellite ocean color sensors. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/481", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/481", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/481", "url": "https:\/\/hdl.handle.net\/11329\/481" }, "author": [ { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Brown, S. W." }, { "@type": "Person", "name": "Clark, D. K." }, { "@type": "Person", "name": "Johnson, B. C." }, { "@type": "Person", "name": "Yoon, H." }, { "@type": "Person", "name": "Lykke, K. R." }, { "@type": "Person", "name": "Flora, S. J" }, { "@type": "Person", "name": "Feinholz, M. E." }, { "@type": "Person", "name": "Souaidia, N." }, { "@type": "Person", "name": "Pietras, C." }, { "@type": "Person", "name": "Stone, T. C." }, { "@type": "Person", "name": "Yarbrough, M. A." }, { "@type": "Person", "name": "Kim, Y. S." }, { "@type": "Person", "name": "Barnes, R. A." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center." } ], "keywords": [ "Radiance", "Irradiance", "SIMBIOS", "Bio optical data", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/539", "name": "Processing Argo oxygen data at the DAC level. Version 2.3.1, June 13th 2018.", "description": " - This document does NOT address the issue of oxygen data quality control (either real-time or delayed mode). As a preliminary step towards that goal, this document seeks to ensure that all countries deploying floats equipped with oxygen sensors document the data and metadata related to these floats properly. We produced this document in response to action item 14 from the AST-10 meeting in Hangzhou (March 22-23, 2009). Action item 14: Denis Gilbert to work with Taiyo Kobayashi and Virginie Thierry to ensure DACs are processing oxygen data according to recommendations. If the recommendations contained herein are followed, we will end up with a more uniform set of oxygen data within the Argo data system, allowing users to begin analysing not only their own oxygen data, but also those of others, in the true spirit of Argo data sharing. Indications provided in this document are valid as of the date of writing this document. It is very likely that changes in sensors, calibrations and conversions equations will occur in the future. Please contact V. Thierry (vthierry@ifremer.fr) for any inconsistencies or missing information. A dedicated webpage on the Argo Data Management website (www) contains all information regarding Argo oxygen data management : current and previous version of this cookbook, oxygen sensor manuals, calibration sheet examples, examples of matlab code to process oxygen data, test data, etc.. - , - Published - , - Refereed - , - Current - , - oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/539", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/539", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/539", "url": "https:\/\/hdl.handle.net\/11329\/539" }, "author": [ { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Denis, Gilbert" }, { "@type": "Person", "name": "Taiyo, Kobayashi" }, { "@type": "Person", "name": "Sato, Kanako" }, { "@type": "Person", "name": "Schmid, Claudia" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Oxygen sensors", "Argo floats", "Bio-Argo", "Oxygen", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data processing", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1721", "name": "Toward the widespread application of low-cost technologies in coastal ocean observing (Internet of Things for the Ocean).", "description": " - The ability to access user-friendly, low-cost instrumentation remains a limiting factor in coastal ocean observing. The majority of currently available marine observation equipment is difficult to deploy, costly to operate, and requires specific technical skills. Moreover, a harmonized observation program for the world\u2019s coastal waters has not yet been established despite the efforts of the global ocean organizations. Global observational systems are mainly focused on open ocean waters and do not include coastal and shelf areas, where models and satellites require large data sets for their calibration and validation. Fortunately, recent technological advances have created opportunities to improve sensors, platforms, and communications that will enable a step-change in coastal ocean observing, which will be driven by a decreasing cost of the components, the availability of cheap housing, low-cost controller\/data loggers based on embedded systems, and low\/no subscription costs for LPWAN communication systems. Considering the above necessities and opportunities, POGO\u2019s OpenMODs project identified a series of general needs\/requirements to be met in an Open science development framework. In order to satisfy monitoring and research necessities, the sensors to be implemented must be easily interfaced with the data acquisition and transmission system, as well as compliant with accuracy and stability requirements. Here we propose an approach to co-design cost-effective observing modular instrument architecture based on available low-cost measurement and data transmission technologies, able to be mounted\/operated on various platforms. This instrument can fit the needs of a large community that includes scientific research (including those in developing countries), non-scientific stakeholders, and educators. - , - Whiltshire, Karen is the spelling listed for this author on the article - , - Refereed - , - 14.a - , - N\/A - , - Pilot & Demonstrated - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1721", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1721", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1721", "url": "https:\/\/hdl.handle.net\/11329\/1721" }, "author": [ { "@type": "Person", "name": "Marcelli, Marco" }, { "@type": "Person", "name": "Piermattei, Viviana" }, { "@type": "Person", "name": "Gerin, Riccardo" }, { "@type": "Person", "name": "Brunetti, Fabio" }, { "@type": "Person", "name": "Pietrosemoli, Ermanno" }, { "@type": "Person", "name": "Addo, Samuel" }, { "@type": "Person", "name": "Boudaya, Lobna" }, { "@type": "Person", "name": "Coleman, Richard" }, { "@type": "Person", "name": "Olubumni, Nubi" }, { "@type": "Person", "name": "Rick, Johannes" }, { "@type": "Person", "name": "Sarker, Subrata" }, { "@type": "Person", "name": "Sohou, Zacharie" }, { "@type": "Person", "name": "Zennaro, Marco" }, { "@type": "Person", "name": "Wiltshire, Karen" }, { "@type": "Person", "name": "Crise, Alessandro" } ], "keywords": [ "Internet of Things", "Low-cost technologies", "Ocean observations", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1395", "name": "OOI Data product specification for fast dissolved oxygen. Version 1-02.", "description": " - This document describes the computation used to calculate the OOI Level 2 Fast Dissolved Oxygen core data product (DOCONCF), which is calculated using an algorithm based on that of Owens and Millard (1985) that incorporates raw voltage data from the Sea-Bird Electronics SBE 43 and 43F Dissolved Oxygen Sensor (DOFST) family of instruments along with L1 and L2 data products from the conductivity, temperature and depth (CTD) family of instruments. This document is intended to be used by OOI programmers to construct appropriate processes to create the L2 Fast Dissolved Oxygen data product. - , - Published - , - Current - , - 14.A - , - Oxygen - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1395", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1395", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1395", "url": "https:\/\/hdl.handle.net\/11329\/1395" }, "author": [ { "@type": "Person", "name": "Vardaro, Michael" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership for Ocean Observatories Initiative" } ], "keywords": [ "Dissolved oxygen", "Parameter Discipline::Chemical oceanography::Dissolved gases", "Data Management Practices::Data aggregation", "Data Management Practices::Data format development", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1644", "name": "The quest for seafloor macrolitter: a critical review of background knowledge, current methods and future prospects.", "description": " - The seafloor covers some 70% of the Earth\u2019s surface and has been recognised as a major sink for marine litter. Still, litter on the seafloor is the least investigated fraction of marine litter, which is not surprising as most of it lies in the deep sea, i.e. the least explored ecosystem. Although marine litter is considered a major threat for the oceans, monitoring frameworks are still being set up. This paper reviews current knowledge and methods, identifies existing needs, and points to future developments that are required to address the estimation of seafloor macrolitter. It provides background knowledge and conveys the views and thoughts of scientific experts on seafloor marine litter offering a review of monitoring and ocean modelling techniques. Knowledge gaps that need to be tackled, data needs for modelling, and data comparability and harmonisation are also discussed. In addition, it shows how research on seafloor macrolitter can inform international protection and conservation frameworks to prioritise efforts and measures against marine litter and its deleterious impacts. - , - Refereed - , - 14.1 - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1644", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1644", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1644", "url": "https:\/\/hdl.handle.net\/11329\/1644" }, "author": [ { "@type": "Person", "name": "Canals, Miquel" }, { "@type": "Person", "name": "Pham, Christopher K." }, { "@type": "Person", "name": "Bergmann, Melanie" }, { "@type": "Person", "name": "Gutow, Lars" }, { "@type": "Person", "name": "Hanke, Georg" }, { "@type": "Person", "name": "van Sebille, Erik" }, { "@type": "Person", "name": "Angiolillo, Michela" }, { "@type": "Person", "name": "Buhl-Mortensen, Lene" }, { "@type": "Person", "name": "Cau, Alessando" }, { "@type": "Person", "name": "Ioakeimidis, Christos" }, { "@type": "Person", "name": "Kammann, Ulrike" }, { "@type": "Person", "name": "Lundsten, Lonny" }, { "@type": "Person", "name": "Papatheodorou, George" }, { "@type": "Person", "name": "Purser, Autun" }, { "@type": "Person", "name": "Sanchez-Vidal, Anna" }, { "@type": "Person", "name": "Schulz, Marcus" }, { "@type": "Person", "name": "Vinci, Matteo" }, { "@type": "Person", "name": "Chiba, Sanae" }, { "@type": "Person", "name": "Galgani, Fran\u00e7ois" }, { "@type": "Person", "name": "Langenk\u00e4mper, Daniel" }, { "@type": "Person", "name": "M\u00f6ller, Tiia" }, { "@type": "Person", "name": "Nattkemper, Tim W." }, { "@type": "Person", "name": "Ruiz, Marta" }, { "@type": "Person", "name": "Suikkanen, Sanna" }, { "@type": "Person", "name": "Woodall, Lucy" }, { "@type": "Person", "name": "Fakiris, Elias" }, { "@type": "Person", "name": "Molina Jack, Maria Eugenia" }, { "@type": "Person", "name": "Giorgetti, Alessandra" } ], "keywords": [ "Marine litter", "Marine plastics", "Marine debris", "Plastic litter", "Macroplastics", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1185", "name": "Chemical aspects of ocean acidification monitoring in the ICES marine area. [SUPERSEDED]", "description": " - It is estimated that oceans absorb approximately a quarter of the total anthropogenic releases of carbon dioxide to the atmosphere each year. This is leading to acidification of the oceans, which has already been observed through direct measurements. These changes in the ocean carbon system are a cause for concern for the future health of marine ecosystems. A coordinated ocean acidification (OA) monitoring programme is needed that integrates physical, biogeochemical, and biological measurements to concurrently observe the variability and trends in ocean carbon chemistry and evaluate species and ecosystems response to these changes. This report arises from an OSPAR request to ICES for advice on this matter. It considers the approach and tools available to achieve coordinated monitoring of changes in the carbon system in the ICES marine area, i.e. the Northeast Atlantic and Baltic Sea. An objective is to measure long-term changes in pH, carbonate parameters, and saturation states (\u03a9aragonite and \u03a9calcite) in support of assessment of risks to and impacts on marine ecosystems. Painstaking and sensitive methods are necessary to measure changes in the ocean carbonate system over a long period of time (decades) against a background of high natural variability. Information on this variability is detailed in this report. Monitoring needs to start with a research phase, which assesses the scale of short-term variability in different regions. Measurements need to cover a range of waters from estuaries and coastal waters, shelf seas and ocean-mode waters, and abyssal waters where sensitive ecosystems may be present. Emphasis should be placed on key areas at risk, for example high latitudes where ocean acidification will be most rapid, and areas identified as containing ecosystems and habitats that may be vulnerable, e.g. cold-water corals. In nearshore environments, increased production resulting from eutrophication has probably driven larger changes in acidity than CO2 uptake. Although the cause is different, data are equally required from these regions to assess potential ecosystem impact. Analytical methods to support coordinated monitoring are in place. Monitoring of at least two of the four carbonate system parameters (dissolved inorganic carbon (DIC), total alkalinity (TA), pCO2, and pH) alongside other parameters is sufficient to describe the carbon system. There are technological limitations to direct measurement of pH at present, which is likely to change in the next five years. DIC and TA are the most widely measured parameters in discrete samples. The parameter pCO2 is the most common measurement made underway. Widely accepted procedures are available, although further development of quality assurance tools (e.g. proficiency testing) is required. Monitoring is foreseen as a combination of low-frequency, repeat, ship-based surveys enabling collection of extended high quality datasets on horizontal and vertical scales, and high-frequency autonomous measurements for more limited parameter sets using instrumentation deployed on ships of opportunity and moorings. Monitoring of ocean acidification can build on existing activities summarized in this report, e.g. OSPAR eutrophication monitoring. This would be a cost-effective approach to monitoring, although a commitment to sustained funding is required. Data should be reported to the ICES data repository as the primary data centre for OSPAR and HELCOM, thus enabling linkages to other related datasets, e.g. nutrients and integrated ecosystem data. The global ocean carbon measurement community reports to the Carbon Dioxide Information Analysis Center (CDIAC), and it is imperative that monitoring data are also reported to this database. Dialogue between data centres to facilitate an efficient \u201cReport-Once\u201d system is necessary. - , - Published - , - Authors: Alberto V. Borges \u25cf Carlos Borges \u25cf Naomi Greenwood \u25cf Susan E. Hartman David J. Hydes \u25cf Caroline Kivimae \u25cf Evin McGovern \u25cf Klaus Nagel Solveig Olafsdottir \u25cf David Pearce \u25cf Elisabeth Sahlsten Carmen Rodriguez \u25cf Pamela Walsham \u25cf Lynda Webster - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Mature - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1185", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1185", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1185", "url": "https:\/\/hdl.handle.net\/11329\/1185" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1612", "name": "Metadata standards and practical guidelines for specimen and DNA curation when building barcode reference libraries for aquatic life.", "description": " - DNA barcoding and metabarcoding is increasingly used to effectively and precisely assess and monitor biodiversity in aquatic ecosystems. As these methods rely on data availability and quality of barcode reference libraries, it is important to develop and follow best practices to ensure optimal quality and traceability of the metadata associated with the reference barcodes used for identification. Sufficient metadata, as well as vouchers, corresponding to each reference barcode must be available to ensure reliable barcode library curation and, thereby, provide trustworthy baselines for downstream molecular species identification. This document (1) specifies the data and metadata required to ensure the relevance, the accessibility and traceability of DNA barcodes and (2) specifies the recommendations for DNA harvesting and for the storage of both voucher specimens\/samples and barcode data. - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1612", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1612", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1612", "url": "https:\/\/hdl.handle.net\/11329\/1612" }, "author": [ { "@type": "Person", "name": "Rimet, F." }, { "@type": "Person", "name": "Aylagas, E." }, { "@type": "Person", "name": "Borja, A." }, { "@type": "Person", "name": "Bouchez, A." }, { "@type": "Person", "name": "Canino, A." }, { "@type": "Person", "name": "Chauvin, C." }, { "@type": "Person", "name": "Chonova, T." }, { "@type": "Person", "name": "Ciampor Jr, F." }, { "@type": "Person", "name": "Costa, F.O." }, { "@type": "Person", "name": "Ferrari, B.J.D." }, { "@type": "Person", "name": "Gastineau, R." }, { "@type": "Person", "name": "Goulon, C." }, { "@type": "Person", "name": "Gugger, M." }, { "@type": "Person", "name": "Holzmann, M." }, { "@type": "Person", "name": "Jahn, R." }, { "@type": "Person", "name": "Kahlert, M." }, { "@type": "Person", "name": "Kusber, W-H." }, { "@type": "Person", "name": "Laplace-Treyture, C." }, { "@type": "Person", "name": "Leese, F." }, { "@type": "Person", "name": "Leliaert, F." }, { "@type": "Person", "name": "Mann, D.G." }, { "@type": "Person", "name": "Marchand, F." }, { "@type": "Person", "name": "M\u00e9l\u00e9der, V." }, { "@type": "Person", "name": "Pawlowski, J." }, { "@type": "Person", "name": "Rasconi, S." }, { "@type": "Person", "name": "Rivera, S." }, { "@type": "Person", "name": "Rougerie, R." }, { "@type": "Person", "name": "Schweizer, M." }, { "@type": "Person", "name": "Trobajo, R." }, { "@type": "Person", "name": "Vasselon, V." }, { "@type": "Person", "name": "Vivien, R." }, { "@type": "Person", "name": "Weigand, A." }, { "@type": "Person", "name": "Witkowski, A." }, { "@type": "Person", "name": "Zimmermann, J." }, { "@type": "Person", "name": "Ekrem, T." } ], "keywords": [ "Aquatic organisms", "Barcode", "DNA", "Metadata, quality", "Traceability", "Other biological measurements", "Data processing", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/786", "name": "Performance Demonstration Statement Pro-Oceanus Systems Inc. PSI CO2-Pro.", "description": " - Alliance for Coastal Technology (ACT) demonstration projects are designed to characterize performance of relatively new and promising instruments for applications in coastal science, coastal resource management and ocean observing. ACT has evaluated four commercial pCO2 instruments that are capable of being moored for weeks to months. This document is termed a \u201cDemonstration Statement\u201d and provides a summary of the results for the Pro-Oceanus Systems Inc. PSI CO2-Pro. Briefly, test instruments were mounted on surface moorings in a temperate stratified estuary (Twanoh Buoy, Hood Canal Washington; August-September 2009; http:\/\/orca.ocean.washington.edu\/mooringDesign.html;) and a coral reef (Kaneohe Bay Hawaii; October-November 2009; http:\/\/www.pmel.noaa.gov\/co2\/coastal\/HI\/). The sites were chosen based on existing moorings and the expected rapid changes in seawater temperature and pCO2. Water samples were collected to determine pH and Total Alkalinity (TA) for calculation of pCO2 (CO2Sys; Pierrot et.al. 2006) and direct measurements of pCO2 using a flow-through pCO2 analyzer (Oregon State University; gas equilibration and infrared gas detection). In situ pCO2 measurements are compared to both of these references and estimates of analytical and environmental variability are reported. Quality Assurance (QA) and oversight of the demonstration process was accomplished by the ACT QA specialists, who conducted technical, protocol and data quality audits. There were no test results for the Pro-Oceanus CO2-Pro for the Hood Canal, Washington deployment due to programming error in the time delay before the instrument was to initiate logging after deployment. The error was only discovered after retrieval. At the NOAA Crimp 2 buoy, Kaneohe Bay, temperature varied from 23.24 to 28.27 oC and salinity varied from 34.1 \u2013 35.2 over the deployment. Measured pCO2 values of reference samples varied from 314 to 608 \u00b5atm, while the continuous hourly measured values for the CO2Pro varied from about 280 to 840 \u00b5atm, demonstrating a more complete assessment of the variability in the ecosystem. Due to a delayed start in the CO2-Pro deployment and a later maintenance problem with the Flow Analyzer, there were no data to compare differences for individual CO2-Pro values and the Flow Analyzer measurements. The mean and standard deviation of the difference for individual CO2-Pro determinations and the pCO2Sys reference measurements were +9 \u00b1 14 \u00b5atm (n=29; CO2-Pro - pCO2Sys). The time-series provided by the instrument during the Hawaii field test (n=342) revealed strong diel patterns in pCO2 and captured a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples (n=45). Accounting for data gaps during calibration cycles, nearly 100 percent of the data was retrieved and used for the Hawaii time-series. There were no systematic changes in the differences between instrument and reference measurements over time, indicating that biofouling and instrument drift did not affect measurement performance over the duration of the test - , - Published - , - Refereed - , - Current - , - Carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/786", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/786", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/786", "url": "https:\/\/hdl.handle.net\/11329\/786" }, "author": [ { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/877", "name": "An evaluation of the performance of Sea-Bird Scientific\u2019s SeaFET\u2122 autonomous pH sensor: considerations for the broader oceanographic community.", "description": " - The commercially available Sea-Bird SeaFET\u2122 provides an accessible way for a broad community of researchers to study ocean acidification and obtain robust measurements of seawater pH via the use of an in situ autonomous sensor. There are pitfalls, however, that have been detailed in previous best practices for sensor care, deployment, and data handling. Here, we took advantage of two distinctly different coastal settings to evaluate the Sea-Bird SeaFET\u2122 and examine the multitude of scenarios in which problems may arise confounding the accuracy of measured pH. High-resolution temporal measurements of pH were obtained during 3- to 5-month field deployments in three separate locations (two in south-central Alaska, USA, and one in British Columbia, Canada) spanning a broad range of nearshore temperature and salinity conditions. Both the internal and external electrodes onboard the SeaFET\u2122 were evaluated against robust benchtop measurements for accuracy using the factory calibration, an in situ single-point calibration, or an in situ multi-point calibration. In addition, two sensors deployed in parallel in Kasitsna Bay, Alaska, USA, were compared for inter-sensor variability in order to quantify other factors contributing to the sensor\u2019s intrinsic inaccuracies. Based on our results, the multi-point calibration method provided the highest accuracy (< 0.025 difference in pH) of pH when compared against benchtop measurements. Spectral analysis of time series data showed that during spring in Alaskan waters, a range of tidal frequencies dominated pH variability, while seasonal oceanographic conditions were the dominant driver in Canadian waters. Further, it is suggested that spectral analysis performed on initial deployments may be able to act as an a posteriori method to better identify appropriate calibration regimes. Based on this evaluation, we provide a comprehensive assessment of the potential sources of uncertainty associated with accuracy andprecision of the SeaFET\u2122 electrodes. - , - Refereed - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/877", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/877", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/877", "url": "https:\/\/hdl.handle.net\/11329\/877" }, "author": [ { "@type": "Person", "name": "Miller, Cale A." }, { "@type": "Person", "name": "Pocock, Katie" }, { "@type": "Person", "name": "Evans, Wiley" }, { "@type": "Person", "name": "Kelley, Amanda L." } ], "keywords": [ "pH", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1506", "name": "Capacity Building for Marine Debris Prevention and Management in the APEC Region: Workshop Report, Yeosu, Korea 12-18 June 2017.", "description": " - 1. Capacity Building for Marine Debris Prevention and Management in the APEC Region, a training program for the APEC economies, was held in Yeosu, Korea on 12-18 June 2017 which had 28 participants from 14 APEC member economies, including Chile; China; Hong Kong, China; Indonesia; Republic of Korea; Malaysia; Mexico; Papua New Guinea; Peru; the Philippines; Russia; Thailand; and Viet Nam. Expert speakers from 7 organizations - China; Republic of Korea; Chinese Taipei; The United States; UNEP; NOWPAP; and NOWPAP POMRAC were also invited to the program to give lectures on subject of their expertise. 2. Marine debris and its impacts to threaten marine life and reduce economic potential in the APEC region is becoming a serious issue. The amount of plastic marine debris discharged to waterways and finally to the Pacific Ocean is expected to grow. This has serious consequences to shipping, tourism, and fishing industries. Furthermore, there is growing concern for impacts of micro-plastics on seafood and human health. In order to reduce the impact of marine debris, this project in the APEC region proposes the following steps; 1) raise awareness and attention for marine debris among the APEC economies, especially those from developing economies, through information sharing, policy formation, social and economic impact analysis and technical training on marine debris 2) share information about the resources and techniques that are available to assist economies with the environmental impact 3) provide technical assistance to develop an operational manual for economies lacking effective marine debris response procedures, and 4) guide in helping APEC economies to prepare for marine debris emergencies. 3. The objectives of the workshop are: 1) Raising awareness of the social, economic, and environmental damage and impact caused by marine debris which disrupts and impacts the trade, growth and livelihood of the APEC region; 2) Strengthening government officials\u2019 capacity to enhance marine debris management related policies of the APEC region; and 3) Aligning with international standards by effective management of marine debris In light of the above objectives, this program focused on: 1) Development of proceedings on the training standards and educational contents, including best practices; 2) Organization of education and training course and its evaluation; and 3) Establishing a network between participants and experts. - , - Published - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1506", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1506", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1506", "url": "https:\/\/hdl.handle.net\/11329\/1506" }, "contributor": [ { "@type": "Organization", "name": "Korea Marine Environment Management Corporation (KOEM) for APEC Secretariat" } ], "keywords": [ "Marine debris", "Plastic debris", "Marine plastics", "Microplastics", "Marine litter", "Capacity development", "Training Course", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2181", "name": "Genomic data support management of anadromous Arctic Char fisheries in Nunavik by highlighting neutral and putatively adaptive genetic variation.", "description": " - Distinguishing neutral and adaptive genetic variation is one of the main challenges in investigating processes shaping population structure in the wild, and landscape genomics can help identify signatures of adaptation to contrasting environments. Arctic Char (Salvelinus alpinus) is an anadromous salmonid and the most harvested fish species by Inuit people, including in Nunavik (Quebec, Canada), one of the most recently deglaciated regions in the world. Unlike many other anadromous salmonids, Arctic Char occupy coastal habitats near their natal rivers during their short marine phase restricted to the summer ice-free period. Our main objective was to document putatively neutral and adaptive genomic variation in anadromous Arctic Char populations from Nunavik and bordering regions to inform local fisheries management. We used genotyping by sequencing (GBS) to genotype 18,112 filtered single nucleotide polymorphisms (SNP) in 650 individuals from 23 sampling locations along >2000 km of coastline. Our results reveal a hierarchical genetic structure, whereby neighboring hydrographic systems harbor distinct populations grouped by major oceanographic basins: Hudson Bay, Hudson Strait, Ungava Bay, and Labrador Sea. We found genetic diversity and differentiation to be consistent both with the expected postglacial recolonization history and with patterns of isolation-by-distance reflecting contemporary gene flow. Results from three gene-environment association methods supported the hypothesis of local adaptation to both freshwater and marine environments (strongest associations with sea surface and air temperatures during summer and salinity). Our results support a fisheries management strategy at a regional scale, and other implications for hatchery projects and adaptation to climate change are discussed. - , - Refereed - , - 14.4.1 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2181", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2181", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2181", "url": "https:\/\/hdl.handle.net\/11329\/2181" }, "author": [ { "@type": "Person", "name": "Dallaire, Xavier" }, { "@type": "Person", "name": "Normandeau, Eric" }, { "@type": "Person", "name": "Mainguy, Julien" }, { "@type": "Person", "name": "Tremblay, Jean-Eric" }, { "@type": "Person", "name": "Bernatchez, Louis" }, { "@type": "Person", "name": "Moore, Jean-Sebastien" } ], "keywords": [ "Marine ecosystems", "Population genomics", "Fish", "Human activity", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2421", "name": "Omics community protocols. EuroSea Deliverable D3.19.", "description": " - The aim of the WP3 \u201cNetwork Integration and Improvements\u201d is to coordinate and enhance key aspects of integration of European observing technology (and related data flows) for its use in the context of international ocean monitoring activities. One of the dimensions of the integrations is the constitution of thematic networks, that is, networks whose aim is to address specific observational challenges and thus to favor innovation, innovation that will ultimately support the Blue economy. In this context, the specific aim of Task 3.8 is to accelerate the adoption of molecular methods such as genomic, transcriptomic (and related \u201comics\u201d) approaches, currently used as monitoring tools in human health, to the assessment of the state and change of marine ecosystems. It was designed to favor the increase the capacity to evaluate biological diversity and the organismal metabolic states in different environmental conditions by the development of \u201caugmented observatories\u201d, utilizing state-of-art methodologies in genomic-enabled research at multidisciplinary observatories at well-established marine LTERs, with main focus on a mature oceanographic observatory in Naples, NEREA. In addition, an effort is dedicated to connecting existing observatories that intend to augment their observations with molecular tools. Molecular approaches come with many different options for the protocols (size fractioning, sample collection and storage, sequencing etc). One main challenge in systematically implementing those approaches is thus their standardization across observatories. Based on a survey of existing methods and on a 3-year experience in collecting, sequencing and analyzing molecular data, this deliverable is thus dedicated to present the SOPs implemented and tested at NEREA. The SOPs consider a size fractioning of the biological material to avoid biases toward more abundant, smaller organisms such as bacteria. They cover both the highly stable DNA and the less stable RNA and they are essentially an evolution of the ones developed for the highly successful Tara Oceans Expedition and recently updated for the Expedition Mission Microbiomes, an All-Atlantic expedition organised and executed by the EU AtlantECO project. Importantly, they have only slight variations with respect the ones adopted by the network of genomic observatories EMOBON. Discussions are ongoing with EMOBON to perfectly align the protocols. The SOPs are being disseminated via the main national and international networks. - , - This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No. 862626. - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2421", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2421", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2421", "url": "https:\/\/hdl.handle.net\/11329\/2421" }, "author": [ { "@type": "Person", "name": "ludicone, Daniele" }, { "@type": "Person", "name": "Montresor, Marina" }, { "@type": "Person", "name": "Casotti, Raffaella" }, { "@type": "Person", "name": "Campese, Lucia" }, { "@type": "Person", "name": "Trano, Anna Chiara" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Molecular data", "Microbials", "Microbiome", "Omics", "Standard Operating Procedures", "Other biological measurements", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/190", "name": "Time series of ocean measurements. Volume 3 - 1986.", "description": " - Published - , - Ocean Climatically signifiant, physical parameters, El Nino, Hydrostation, temperature time series - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/190", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/190", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/190", "url": "https:\/\/hdl.handle.net\/11329\/190" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanography", "Oceanographic data", "Physical properties", "Physical oceanography", "Plankton surveys", "Hydrographic data", "Hydrographic surveys", "Time series", "Time series analysis", "Temperature data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2584", "name": "OceanPractices: Ocean Best Practices Workshop VII & Focus Sessions, 09-20 October 2023 [ONLINE]. Proceedings.", "description": " - The 2023 OceanPractices: OBPS Workshop VII aimed at providing some \u201ccommon\u201d solutions to the 10 selected challenges set by the UN Ocean Decade for collective impact. The online workshop 09-13 October 2023 was divided into two sessions per day (each day about 3-4 hours in total with breaks), covering an introductory session including a Panel of distinguished speakers, with the rest of the week scheduled with Workshop Sessions addressing the UN Ocean Decade Challenges. The sessions offered plenty of time for discussion and Q & A. Each session addressed such questions as: \"What kind of Ocean best practice should be developed for major topics (e.g. climate change, energy, environment)?\", \"Where are the gaps in best practices in your discipline?\"; \"Are best practices transversal, i.e., not silo-like?\" or \"Beyond best practices, what do we do?\". - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2584", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2584", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2584", "url": "https:\/\/hdl.handle.net\/11329\/2584" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE\/Ocean Best Practices System" } ], "keywords": [ "OBPS", "Digital repositories", "Best practices", "Administration and dimensions", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2281", "name": "Comparison of the burial rate estimation methods of organic and inorganic carbon and quantification of carbon burial in two high Arctic fjords.", "description": " - Quantifying the burial of organic carbon (OC) and inorganic carbon (IC) species in marine sediments contribute to a better understanding of carbon cycle. This is especially important in the Arctic, where carbon deposition is relatively high and expected to change with climate warming. This study aimed to quantify the burial rates of OC and IC in the sediments of two high-latitude fjords - Hornsund and Kongsfjorden (European Arctic). Comparison of the results from three methods quantifying carbon burial in marine sediments was carried out. Sediment cores, pore water, and over-bottom water samples were analyzed for OC and IC. The burial rates were established by considering: carbon deposition to sediments minus carbon return flux, carbon deposited to sediments 80-100 years ago and carbon deposited to sediments recently. The radiolead method was employed for sediment dating. Carbon return flux was obtained using dissolved carbon species concentrations in pore water and over-bottom water. Sediment linear and mass accumulation rates in the fjords were 0.12-0.20 cm y(-1) and 1160-2330 g m(-2) y(-1). The OC burial rates were 19.3-30.3 g OC m(-2) y(-1) in Hornsund and 5.7-10.0 g OC m(-2) y-(1 )in Kongsfjorden. IC burial was taken as equal to IC deposition and ranged from 10.7 to 20.8 g IC m(-2) y(-1) in Hornsund and 19.4-45.7 g IC m(-2) y(-1) in Kongsfjorden. The return flux model seems most appropriate for carbon burial rate studies. The data demonstrated that OC burial dominates in Hornsund, while in Kongsfjorden, IC burial is more important. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Elemental Analyzer Flash EA 1112 Series combined with a Delta V Advantage (Thermo Electron Corp., Germany) isotopic ratio mass spectrometer (IRMS) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2281", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2281", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2281", "url": "https:\/\/hdl.handle.net\/11329\/2281" }, "author": [ { "@type": "Person", "name": "Koziorowska, Katarzyna" }, { "@type": "Person", "name": "Kulinski, Karol" }, { "@type": "Person", "name": "Pempkowiak, Janusz" } ], "keywords": [ "Carbon cycle", "Organic carbon", "Inorganic carbon", "Sediments", "Sedimentary carbon", "Carbon accumulation", "Carbon, nitrogen and phosphorus", "spectrophotometers", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/357", "name": "World Ocean Database 2013.", "description": " - This atlas describes a collection of scientifically quality-controlled ocean profile and plankton data that includes measurements of temperature, salinity, oxygen, phosphate, nitrate, silicate, chlorophyll, alkalinity, pH, pCO2, TCO2, Tritium, \u039413Carbon, \u039414Carbon, \u039418Oxygen, Freons, Helium, \u03943Helium, Neon, and plankton. A discussion of data sources is provided. - , - Published - , - Recommended for deposit by Greg Reed - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/357", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/357", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/357", "url": "https:\/\/hdl.handle.net\/11329\/357" }, "author": [ { "@type": "Person", "name": "Boyer, T.P." }, { "@type": "Person", "name": "Antonov, J.I." }, { "@type": "Person", "name": "Baranova, O.K." }, { "@type": "Person", "name": "Coleman, C." }, { "@type": "Person", "name": "Garcia, H.E." }, { "@type": "Person", "name": "Grodsky, A." }, { "@type": "Person", "name": "Johnson, D.R." }, { "@type": "Person", "name": "Locarnini, R.A." }, { "@type": "Person", "name": "Mishonov, A.V." }, { "@type": "Person", "name": "O'Brien, T.D." }, { "@type": "Person", "name": "Paver, C.R." }, { "@type": "Person", "name": "Reagan, J.R." }, { "@type": "Person", "name": "Seidov, D." }, { "@type": "Person", "name": "Smolyar, I.V." }, { "@type": "Person", "name": "Zweng, M.M." } ], "contributor": [ { "@type": "Organization", "name": "NOAA Printing Office" } ], "keywords": [ "WOD", "Atlas", "Oceanographic data", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data aggregation", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data exchange", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1704", "name": "MEDIN data guideline for marine gravimeter\/ gravity data. Version 2.0.", "description": " - This guideline defines the format of data and information produced from the acquisition of marine gravimeter and gravimetric data. Used correctly, the guideline facilitates easy use and re-use of the data. An Excel template is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1704", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1704", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1704", "url": "https:\/\/hdl.handle.net\/11329\/1704" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Geology", "Gravimeters", "Gravity field of the Earth", "Gravity field gradient (horizontal) of the Earth", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/662", "name": "Requirements specifications for the observatory operator console. JERICO-NEXT WP5, D5.6, Version 1.0.", "description": " - There is a strong necessity to improve the management process of the metadata of the deployed observatories. As reminded in Description of Work for Task 5.3, this weakness has been highlighted during the SeaDataNet and Copernicus MEMS projects. We propose to give a major role to the observatory operators in managing the metadata. Dedicated interfaces will be implemented in order to allow operators to describe their instruments, to monitor them in real -time, to publish and to advertise the work of data acquisitio n. Providing these metadata publishing tools will also greatly facilitate discovery, visualization and downloading fully INSPIRE compatible services. We will take into account and will be consistent with other experiments for industry sensors such as http:\/\/www.sensorcloud.com. The standards (Sensor Web Enablement \u2013SWE) already implemented in other projects (SeaDataNet, ODIP & JERICO) will be used. This document defines the requirements and design of an online console for observation platforms or network operators who will use the application for both: Maintain and document their deployments Push the resulting datasets for long time preservation and availability for data services, via for example Copernicus MEMS and EMODNET. Focus will be on a few observatory networks on which we propose to implement observatory operator advanced services: fixed moorings and non-permanent operational coastal observation networks, HF radars, flow cytometry and ferry boxes - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/662", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/662", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/662", "url": "https:\/\/hdl.handle.net\/11329\/662" }, "author": [ { "@type": "Person", "name": "Loubrieu, Thomas" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1991", "name": "R\/V Dr. Fridtjof Nansen Video Series: Collecting pH and total alkalinity samples from a CTD rosette water sampler. [Training Video]", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, this video is part of a series of videos that support the descriptions provided in the Rosette water sampling R\/V Dr. Fridtjof Nansen protocol about the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. This particular video provides a description of how to collect pH and total alkalinity samples from a CTD rosette bottle. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - N\/A - , - N\/A - , - SBE 32 Carousel - , - Seabird 911plus CTD - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1991", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1991", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1991", "url": "https:\/\/hdl.handle.net\/11329\/1991" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research (Norway) for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "CTD", "Rosette bottle", "Water sampling", "pH", "Total alkalinity", "Carbonate system", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1381", "name": "Quality information documents for Near Real Time IN SITU products: INSITU_GLO_NRT_OBSERVATIONS_013_030; INSITU_ARC_NRT_OBSERVATIONS_013_031; INSITU_BAL_NRT_OBSERVATIONS_013_032; INSITU_IBI_NRT_OBSERVATIONS_013_033; INSITU_BS_NRT_OBSERVATIONS_013_034; INSITU_MED_NRT_OBSERVATIONS_013_035; INSITU_NWS__NRT_OBSERVATIONS_013_036 Issue: 1.7.", "description": " - The accuracy of the in situ observation depends of the platforms and sensors that have been used to acquire them (see next \u00a7I.3). All observations are aggregated by the In Situ Thematic center and provided to users together with metadata information on the platforms that were used to perform the observations. In near real time (within a few hours, maximum one week from acquisition) the quality of the observation are tested using automatic procedures and flags (see Table ) are positioned to inform the users of the level of confidence attached to the observations. The In Situ TAC relies on observing systems maintained by institutes that are not part of the In Situ TAC and CMEMS project is not contributing to the maintenance and setting up of the observing systems it uses. - The variety of platforms available to monitor the status of the ocean is very diverse within the different regions. Key performance indicators (KPIs) were developed to provide an overview of the system status. - In some regions the number of available platforms is on a critical low level to provide an adequate representative overall view of the state of the ocean o Specifically, the Black Sea observing network lacks platforms that monitor the region o Within the Arctic most of the data is obtained by regular vessel cruises or dedicated scientific expeditions. The availability of data from these scientific expeditions is often delayed so they are not available for the RT data stream which results that the data is not available for data assimilation of the operational models. - The percentage of data flagged as \u2018good data\u2019 is varying from region to region. Within the Black Sea and in the Arctic region critical low numbers of available observations impacting the provision of a good and representative real time data product is detected within the temporal frame of the project. The same counts for the availability of observations on the Shelves within the IBI and for the deep areas within the Mediterranean Sea. The sustainability of the Global Ocean network is still not guaranteed and highly relies of project funds. In all the regions biogeochemical data are relatively scarcely available. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1381", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1381", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1381", "url": "https:\/\/hdl.handle.net\/11329\/1381" }, "author": [ { "@type": "Person", "name": "Wehde, H." }, { "@type": "Person", "name": "Schuckmann, K.V." }, { "@type": "Person", "name": "Pouliquen, S." }, { "@type": "Person", "name": "Grouazel, A." }, { "@type": "Person", "name": "Bartolome, T." }, { "@type": "Person", "name": "Tintore, J." }, { "@type": "Person", "name": "De Alfonso Alonso-Munoyerro, M." }, { "@type": "Person", "name": "INS-TAC team" } ], "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Service" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1829", "name": "Resilient Alaska Native Coastal Communities: Integrated Social-ecological Monitoring and Assessment Supporting Adaptation Decisions. Project narrative.", "description": " - Introduction to the Problem: A rapidly changing climate in the Arctic is dramatically impacting the health and well-being of Alaska Native communities. Erosion and repeated extreme weather events damage infrastructure, including health clinics and water and sewage treatment facilities. Saline intrusion and thawing permafrost impact access to potable water. In the most extreme cases, accelerating rates of erosion are life-threatening and are causing Alaska Native communities to choose to relocate their entire community. Rationale: This research strives to increase the adaptive capacity of Alaska Native communities experiencing the impacts of climate-induced environmental change on their health and wellbeing. Community engagement and empowerment are critical to any process aiming to improve the adaptive capacity of Alaska Native communities. By developing new and building upon existing trust relationships, learning from, and co-producing knowledge with communities, we seek to develop adaptation strategies to protect their health and well-being, and to articulate their needs to organizations that might be able to provide technical or financial assistance. Brief Summary of Work: 1. Design a community-based social-ecological monitoring and assessment methodology that will be used and implemented by Alaska Native communities to enable them to perform their own monitoring. Methodology development will be a cooperative effort led by Alaska Native communities and involving university researchers, government representatives, such as the US Army Corps of Engineers, and non-governmental organizations such as the Alaska Institute for Justice, Alaska Native Science Commission and the Alaska Native Tribal Health Consortium; 2. Train local community representatives to implement this methodology in their community and to perform trial data collection throughout the grant period and use these data to improve the methodology; 3. Document the collaborative relationship between these communities, university researchers, non-governmental organizations and government agencies throughout the grant period; 4. Compare and assess the possible differences in implementation of the social-ecological monitoring and assessment methodology between the five communities; and 5. Disseminate the methodology. Project Title: Resilient Alaska Native Coastal Communities: Integrated Social-ecological Monitoring and Assessment Supporting Adaptation Decisions. Name of Competition: Climate and Societal Interactions: Supporting Resilient Coastal Communities and Ecosystems in a Changing Climate: Understanding climate-related human health risks within the coastal environment. The Alaska Institute for Justice, Alaska Native Science Commission and University of Alaska seek $299,870 for a two-year project. Additional grant partners include the Alaska Native Tribal Health Consortium and the University of Victoria. Works Relevance to Competition & NOAA\u2019s Next Generation Strategic Plan: This interdisciplinary project seeks to foster adaptation in Alaska Native communities by designing a community-based social-ecological monitoring and assessment methodology so that these communities can better assess their vulnerabilities to a changing climate and make informed adaptation decisions. The goals of this research project fit squarely within the parameters of the NOAA Supporting Resilient Communities and Ecosystems in a Changing Climate grant program, and NOAA\u2019s Next-Generation Strategic Plan because this research is interdisciplinary, innovative and designed to collaborate with Alaska Native coastal communities so that they can maintain or improve their health and vitality over time by anticipating and adapting to change. - , - NOAA - , - Published - , - Current - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1829", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1829", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1829", "url": "https:\/\/hdl.handle.net\/11329\/1829" }, "author": [ { "@type": "Person", "name": "Bronen, Robin" }, { "@type": "Person", "name": "Chapin, Terry" }, { "@type": "Person", "name": "Cochran, Patricia" } ], "contributor": [ { "@type": "Organization", "name": "Alaska Institute for Justice" } ], "keywords": [ "Inuit", "Indigenous communites", "Climate change effects" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2151", "name": "The Oceans 2.0\/3.0 Data Management and Archival System.", "description": " - The advent of large-scale cabled ocean observatories brought about the need to handle large amounts of ocean-based data, continuously recorded at a high sampling rate over many years and made accessible in near-real time to the ocean science community and the public. Ocean Networks Canada (ONC) commenced installing and operating two regional cabled observatories on Canada\u2019s Pacific Coast, VENUS inshore and NEPTUNE offshore in the 2000s, and later expanded to include observatories in the Atlantic and Arctic in the 2010s. The first data streams from the cabled instrument nodes started flowing in February 2006. This paper describes Oceans 2.0 and Oceans 3.0, the comprehensive Data Management and Archival System that ONC developed to capture all data and associated metadata into an ever-expanding dynamic database. Oceans 2.0 was the name for this software system from 2006\u20132021; in 2022, ONC revised this name to Oceans 3.0, reflecting the system\u2019s many new and planned capabilities aligning with Web 3.0 concepts. Oceans 3.0 comprises both tools to manage the data acquisition and archival of all instrumental assets managed by ONC as well as enduser tools to discover, process, visualize and download the data. Oceans 3.0 rests upon ten foundational pillars: (1) A robust and stable system architecture to serve as the backbone within a context of constant technological progress and evolving needs of the operators and end users; (2) a data acquisition and archival framework for infrastructure management and data recording, including instrument drivers and parsers to capture all data and observatory actions, alongside task management options and support for data versioning; (3) a metadata system tracking all the details necessary to archive Findable, Accessible, Interoperable and Reproducible (FAIR) data from all scientific and non-scientific sensors; (4) a data Quality Assurance and Quality Control lifecycle with a consistent workflow and automated testing to detect instrument, data and network issues; (5) a data product pipeline ensuring the data are served in a wide variety of standard formats; (6) data discovery and access tools, both generalized and use-specific, allowing users to find and access data of interest; (7) an Application Programming Interface that enables scripted data discovery and access; (8) capabilities for customized and interactive data handling such as annotating videos or ingesting individual campaign-based data sets; (9) a system for generating persistent data identifiers and data citations, which supports interoperability with external data repositories; (10) capabilities to automatically detect and react to emergent events such as earthquakes. With a growing database and advancing technological capabilities, Oceans 3.0 is evolving toward a future in which the old paradigm of downloading packaged data files transitions to the new paradigm of cloud-based environments for data discovery, processing, analysis, and exchange. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2151", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2151", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2151", "url": "https:\/\/hdl.handle.net\/11329\/2151" }, "author": [ { "@type": "Person", "name": "Owens, Dwight" }, { "@type": "Person", "name": "Abeysirigunawardena, Dilumie" }, { "@type": "Person", "name": "Biffard, Ben" }, { "@type": "Person", "name": "Chen, Yan" }, { "@type": "Person", "name": "Conley, Patrick" }, { "@type": "Person", "name": "Jenkyns, Reyna" }, { "@type": "Person", "name": "Kerschtien, Shane" }, { "@type": "Person", "name": "Lavallee, Tim" }, { "@type": "Person", "name": "MacArthur, Melissa" }, { "@type": "Person", "name": "Mousseau, Jina" }, { "@type": "Person", "name": "Old, Kim" }, { "@type": "Person", "name": "Paulson, Meghan" }, { "@type": "Person", "name": "Pirenne, Beno\u00eet" }, { "@type": "Person", "name": "Scherwath, Martin" }, { "@type": "Person", "name": "Thorne, Michael" } ], "keywords": [ "Persistent identifiers", "Cross-discipline", "Data quality control", "Data quality management", "Data citation", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/394.2", "name": "Sea-ice Information and Services, 2024 edition.", "description": " - This publication is intended to provide general information on sea-ice and iceberg observing methods and systems, as well as information on the sea-ice services available worldwide to mariners and other users, supplementing Weather Reporting Volume D \u2013 Information for Shipping (WMO-No. 9). This document contains a summarized history of sea-ice information services, as well as a description of the various types of sea ice, the ice observing methods currently being used, and the types of ice information services currently being provided. The sea-ice information services of 17 countries according to region, including information about organization, data acquisition, products and forecasts, publications and contact details, will be available soon on the WMO community website. - , - Published - , - Refereed - , - Current - , - Sea ice - , - Mature - , - Validated (tested by third parties) - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/394.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/394.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/394.2", "url": "https:\/\/hdl.handle.net\/11329\/394.2" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Sea ice", "Icebergs", "Forecasting services", "Ice observing methods", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Cryosphere::Cryosphere", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/263", "name": "Manual for Real-Time Quality Control of Ocean Optics Data: a guide to quality control and quality assurance for coastal and oceanic optics observations. Version 1.0.", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the optics community at large for the real-time QC of optics measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean observing community and represents a contribution to a collection of core variable QC documents. - , - Published - , - To gauge the success of the QARTOD project, it helps to be aware of groups working to utilize these QC tests. We request that manual users notify us of their efforts or intentions to implement QARTOD processes by sending a brief email to data.ioos@noaa.gov or posting a notice at http:\/\/www.linkedin.com\/groups?gid=2521409. - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/263", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/263", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/263", "url": "https:\/\/hdl.handle.net\/11329\/263" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "IOOS", "QARTOD", "Ocean optics", "Best practice", "Manual", "Quality control", "Quality assurance" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/758", "name": "Removal of algal toxins and taste and odor compounds during desalination.", "description": " - A major challenge in desalination is the removal of harmful algal bloom (HAB) toxins and taste and odor compounds (hereafter referred to as algal metabolites) using common treatment techniques. Removal of other compounds such as polysaccharides, proteins or transparent exopolymer particles (TEP) are discussed in Chapter 2. Taste and odor compounds are materials produced during a HAB that are not detrimental to human health, but cause customer dissatisfaction and often a misconception that the drinking water is not suitable for consumption. Toxins are detrimental to human health and are discussed in Chapter 2. Here the objective is to assess each process unit in a common desalination treatment train, both for SWRO and thermal desalination, and address how each is best optimized to act as a barrier to these specific algal metabolites. Where treatment techniques in seawater applications exist, these have been referenced and used as examples. As little documentation exists on removal of algal metabolites from seawater blooms, fresh water algal species are referred to whenever needed. This information is relevant in understanding the removal mechanisms that are possible. For clarity, these are denoted for each example. Algal metabolites can be either intracellular or extracellular. Many algal species have high percentages of intracellular metabolites, such as Microcystis (freshwater) in which the toxin microcystin can be up to 98% intracellular (Chow et al. 1997). Lefebvre et al. (2008) showed an approximate 81% intracellular saxitoxin (STX)-equivalent concentration for an Alexandrium (seawater) bloom, although further data are needed to confirm this observation. STX-eq (or STX-equivalents) is a measure of total toxicity due to all saxitoxin analogues in a particular solution. In contrast, Smith et al. (2012) report that 60% of the okadaic acid produced by Dinophysis cultures was extracellular, while Kudela (pers. comm.) reported total and extracellular concentrations of 100 and 50 \u03bcg\/L domoic acid respectively during a massive bloom of Pseudo-nitzschia along the US west coast in 2014. Extracellular metabolites are inefficiently removed by pretreatment processes, and this is discussed below in more detail. The nutritional status of HAB cells will affect the percentage of extracellular metabolites in a bloom. At the outset of a bloom, HAB cells will be more robust than toward the end of the bloom period when stresses from nutrient limitation, grazing, or other factors can lead to the leakage of metabolites into the seawater. Smith et al. (2012) noted that, in general, the concentration of extracellular toxin in a lab culture of Dinophysis acuminata (seawater) significantly increased upon culture aging and decline; cells did not appear to be actively or passively releasing toxin during the stationary phase (see Chapter 1, Figure 1.3), but rather extracellular release was likely a result of cell death. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/758", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/758", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/758", "url": "https:\/\/hdl.handle.net\/11329\/758" }, "author": [ { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Churman, Holly" }, { "@type": "Person", "name": "Henthorne, Lisa" }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/795", "name": "Performance Demonstration Statement WET Labs Cycle-P Nutrient Analyzer.", "description": " - During this Performance Demonstration t he WET Labs Cycle-P was successfully tested in a fixed, surface mooring deployment at three test sites including freshwater, brackish water, and saltwater coastal environments. With the exception of an initial instrument exchange on day 2 of the first field test, the test instrument functioned continuously for all 4 weeks of each test. Data recovery was 84, 79, and 99% of the total potential for MD, MI, and AK test sites respectively. Several logistical problems prevented complete execution of all of the quality control testing, but based on the completed blank and standard test exposures the instrument appeared capable of accurately measuring a wide range of phosphate concentrations and functioning consistently over a four week interval. There was no apparent degradation of the on-board reagents or stan dards over the deployment period. Extremely low phosphate concentrations at the MD test site did not allow for meaningful data analysis and there appeared to be a significant impact from biofouling at this site after several weeks. At the AK test site dir ect comparisons of instrument to reference sample data were quite variable, ranging from 0.2 to 4.1 but with an overall mean of 1.5. The offset and variability seemed to improve over time with much better accuracy during the last two weeks of the deployment. Part of the variability may have been due to a mismatch in sample timing intervals and resulting averaging of timepoints. At the Michigan test site, the in situ measured concentrations were much more consistent and accurate. The instrument to reference sample ratio ranged from 0.3 \u2013 1.9 with an overall mean of 1.04. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance and to discuss results with the instrument manufacturer. The application of any post -deployment corrections, and manufacturer\u2019s interpretation of the test results are presented in Appendix 1. In general, however, it appears that the fundamental technology has the capability to successfully measure phosphate in situ under a variety of field conditions. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/795", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/795", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/795", "url": "https:\/\/hdl.handle.net\/11329\/795" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Cook, J." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Wells, D." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2490", "name": "IEC TS 62600-103:2018. Marine energy - Wave, tidal and other water current converters - Part 103: Guidelines for the early stage development of wave energy converters - Best practices and recommended procedures for the testing of pre-prototype devices. Version 1.0.", "description": " - This part of IEC TS 62600 is concerned with the sub-prototype scale development of WECs. It includes the wave tank test programmes, where wave conditions are controlled so they can be scheduled, and the first large-scale sea trials, where sea states occur naturally and the programmes are adjusted and flexible to accommodate the conditions. A full-scale prototype test schedule is not covered in this document. Bench tests of PTO (power take-off) equipment are also not covered in this document. This document describes the minimum test programmes that form the basis of a structured technology development schedule. For each testing campaign, the prerequisites, goals and minimum test plans are specified. This document addresses: \u2022 Planning an experimental programme, including a design statement, technical drawings, facility selection, site data and other inputs as specified in Clause 5. \u2022 Device characterisation, including the physical device model, PTO components and mooring arrangements where appropriate. \u2022 Environment characterisation, concerning either the tank testing facility or the sea deployment site, depending on the stage of development. \u2022 Specification of specific test goals, including power conversion performance, device motions, device loads and device survival. Guidance on the measurement sensors and data acquisition packages is included but not dictated. Providing that the specified parameters and tolerances are adhered to, selection of the components and instrumentation can be at the device developer\u2019s discretion. An important element of the test protocol is to define the limitations and accuracy of the raw data and, more specifically, the results and conclusion drawn from the trials. A methodology addressing these limitations is presented with each goal so the plan always produces defendable results of defined uncertainty. This document intends to serve a wide audience of wave energy stakeholders, including device developers and their technical advisors; government agencies and funding councils; test centres and certification bodies; private investors; and environmental regulators and NGOs. - , - Published - , - Refereed - , - Current - , - 14.A - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2490", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2490", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2490", "url": "https:\/\/hdl.handle.net\/11329\/2490" }, "contributor": [ { "@type": "Organization", "name": "International Electrotechnical Commission (IEC)" } ], "keywords": [ "Wave tanks", "Wave energy", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/921", "name": "High-sensitivity salinity sensor based on optical microfiber coil resonator.", "description": " - A simple, compact, and high-sensitivity optical sensor for salinity measurement is reported based on an optical microfiber coil resonator (MCR). The MCR is manufactured by initially wrapping microfiber on a polymethylmethacrylate (PMMA) rod, which is dissolved to leave a hollow cylindrical fluidic channel within the coil for measurement. Based on the light propagation through the MCR, the device\u2019s spectrum moves to long wavelengths with increased salinity in the fluid. The MCR device\u2019s sensitivity can reach up to 15.587 nm\/% with a resolution of 1.28 \u00d7 10-3%. It is also confirmed that the temperature dependence is 79.87 pm\/\u00b0C, which results from the strong thermal-expansion coefficient of the low refractive index epoxy. The experimental results indicate that the device can be widely used as a high sensitivity salinity sensor in water and other liquids due to its stability, compactness, electromagnetic immunity, and high sensitivity. - , - Refereed - , - Subsurface salinity - , - TRL 4 Component\/subsystem validation in laboratory environment - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/921", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/921", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/921", "url": "https:\/\/hdl.handle.net\/11329\/921" }, "author": [ { "@type": "Person", "name": "Yin, Y." }, { "@type": "Person", "name": "Li, S." }, { "@type": "Person", "name": "Ren, J." }, { "@type": "Person", "name": "Farrell, G." }, { "@type": "Person", "name": "Lewis, E." }, { "@type": "Person", "name": "Wang, P." } ], "keywords": [ "Salinity measurement", "Sensors", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/136", "name": "WOCE Sea Surface Salinity user's manual. Version 1.0. [17 Jun 2015]", "description": " - sea surface salinity; guides - , - This document is the WOCE-SSS data user's manual. It contains the description of the formats and netcdf files of the WOCE-SSS cd-rom - , - WIGOS PP to address - check with IOC GOSUD Chair (Loic Petit de la Villion) - , - Sea Surface Salinity - , - Footer = Argos data management user manual 17 Jun 2015 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/136", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/136", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/136", "url": "https:\/\/hdl.handle.net\/11329\/136" }, "author": [ { "@type": "Person", "name": "Petit de la Vill\u00e9on, Lo\u00efc" }, { "@type": "Person", "name": "Carval, Thierry" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer\/GOSUD" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2266", "name": "Deep Learning Convolutional Neural Network applying for the Arctic Acoustic Tomography Current Inversion Accuracy Improvement.", "description": " - Warm current has a strong impact on the melting of sea ice, so clarifying the current features plays a very important role in the Arctic sea ice coverage forecasting study field. Currently, Arctic acoustic tomography is the only feasible method for the large-range current measurement under the Arctic sea ice. Furthermore, affected by the high latitudes Coriolis force, small-scale variability greatly affects the accuracy of Arctic acoustic tomography. However, small-scale variability could not be measured by empirical parameters and resolved by Regularized Least Squares (RLS) in the inverse problem of Arctic acoustic tomography. In this paper, the convolutional neural network (CNN) is proposed to enhance the prediction accuracy in the Arctic, and especially, Gaussian noise is added to reflect the disturbance of the Arctic environment. First, we use the finite element method to build the background ocean model. Then, the deep learning CNN method constructs the non-linear mapping relationship between the acoustic data and the corresponding flow velocity. Finally, the simulation result shows that the deep learning convolutional neural network method being applied to Arctic acoustic tomography could achieve 45.87% accurate improvement than the common RLS method in the current inversion. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2266", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2266", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2266", "url": "https:\/\/hdl.handle.net\/11329\/2266" }, "author": [ { "@type": "Person", "name": "Jin, Kangkang" }, { "@type": "Person", "name": "Xu, Jian" }, { "@type": "Person", "name": "Wang, Zichen" }, { "@type": "Person", "name": "Lu, Can" }, { "@type": "Person", "name": "Fan, Long" }, { "@type": "Person", "name": "Li, Zhongzheng" }, { "@type": "Person", "name": "Zhou, Jiaxin" } ], "keywords": [ "Acoustic tomography", "Convolutional neural network", "Acoustic inverse problem", "Sea Ice", "Flow velocity", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2317", "name": "Best practices and common trends of national research infrastructure roadmapping procedures, Monitoring and Evaluation mechanisms including recommendations (D3.4).", "description": " - The InRoad Consultation Report and InRoad Compendium provide an overview of national RI roadmapping processes. The data collected revealed a great diversity of purposes and scopes of national RI roadmapping processes in Europe. These differences are the result of the specificities of each national context and Research and Innovation (R&I) system, as well as the varying intentions behind the introduction of national RI roadmapping processes. Considering the diversity of national RI roadmapping processes in Europe and the fact that they respond to the specific characteristics and needs of national R&I systems, one-size-fitsall solutions are not possible. Thus, the following D3.4 report puts forward an analysis of trends, a series of key elements to be included in national RI roadmapping processes and recommendations to align RI policies with national strategic priorities and funding plans, in order to successfully implement the national R&I strategy, support a predictable environment for future investments and achieve a greater societal impact. This report is supported by the Inroad Deliverable D3.3 on \u00b4Good practices and common trends of national research infrastructure roadmapping procedures and evaluation mechanisms\u00b4. - , - European Union Horizon 2020 - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2317", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2317", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2317", "url": "https:\/\/hdl.handle.net\/11329\/2317" }, "author": [ { "@type": "Person", "name": "Ruecker, Gerd" }, { "@type": "Person", "name": "Geyer, Daniel" }, { "@type": "Person", "name": "Ritter, Claudia" }, { "@type": "Person", "name": "Bolliger, Isabel" }, { "@type": "Person", "name": "Griffiths, Alexandra" }, { "@type": "Person", "name": "Guinea, Joaquin" } ], "contributor": [ { "@type": "Organization", "name": "InRoad Project" } ], "keywords": [ "Research Infrastructures", "Performance monitoring", "Evaluation criteria", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1951", "name": "Environment and Oil Spill Response (EOS) - an analytic tool for environmental assessment to support oil spill response planning.", "description": " - The EOS is a desktop analysis based on oil spill scenarios and published as well as expert knowledge on the environment in the assessment area. The EOS tool can support decisions of inclusion of mechanical recovery, in situ burning and chemical dispersants in national oil spill contingency plans. In addition, the results obtained through the EOS tool can be used for establishment of cross-border and trans-boundary co-operation and agreements on oil spill response. The EOS tool is based on an Excel spreadsheet, with references to explanatory boxes provided in the EOS Handbook. This EOS tool was developed in Work package 5 of the GRACE project: Strategic Net Environmental Benefit Analysis. During the planning and development phase the tool was known as the sNEBA tool, but the name was changed to EOS tool during the working process. The EOS analysis goes through 5 steps for each of the oil spill response methods and for each season 1. Gathering basic environmental data and information for the assessment area 2. Assessments of basic data and oil spill modelling results 3. Scores and indices calculations 4. Decision trees for each oil spill response technology 5. Interpretation and dissemination of EOS results. - , - European Commission, EU H2020 GRACE grant no. 679266 - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1951", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1951", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1951", "url": "https:\/\/hdl.handle.net\/11329\/1951" }, "author": [ { "@type": "Person", "name": "Wegeberg, Susse" }, { "@type": "Person", "name": "Fritt-Rasmussen, Janne" }, { "@type": "Person", "name": "Gustavson, Kim" } ], "contributor": [ { "@type": "Organization", "name": "Aarhus University" } ], "keywords": [ "Oil spill response", "Oil pollution", "Decision Tree", "Decision tool", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2456", "name": "OSPAR CEMP Guideline. Common indicator PH3 \u201cChanges in Plankton Diversity\u201d.Adopted by BDC(2) 2022, OSPAR Agreement 2019-07. Updated 2023.", "description": " - Species composition and abundance of plankton assemblages are influenced by environmental conditions and their variability, such as available light, nutrients, prey, currents and climate. As a result, plankton communities fluctuate in space and time. Environmental perturbations such as pollution and\/or eutrophication (i.e. excessive nutrients) can create unusual marked changes in community composition because only a small number of species can cope with\/benefit rapidly from the new situation. In the Baltic Sea, for example, phytoplankton species composition has been observed to change with different nutrient levels and ratios (HELCOM, 2017 and references therein). Monitoring plankton diversity is important since long-term and drastic changes in biodiversity can alter marine ecosystems in terms of their functioning, such as food webs and the uptake and transfer of carbon in the oceans, and the services they provide. In order to quantify changes in biodiversity, indices based on the number of species and\/or their relative abundances in the community can be calculated for water quality assessment. A plethora of indices exist in the scientific literature but their use depends on (1) the objective of the study, (2) their ecological relevance and (3) mathematical properties. Currently, taxonomic diversity indicators for plankton are being revised within the Marine Strategy Framework Directive for French waters (Duflos et al., 2018). In a wider management context (MSFD), only a few community composition indicators are currently applied and this probably reflects the difficulty in setting reference conditions and environmental objectives for these indicators (Garmendia et al., 2013). On the other hand, diversity indices are relatively easy to calculate and their interpretations are intuitive. - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton biomass and diversity - , - Phytoplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Ecosystem disturbances - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2456", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2456", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2456", "url": "https:\/\/hdl.handle.net\/11329\/2456" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Pollution effects", "Biodiversity", "Phytoplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2272", "name": "Evaluation of Pollutant Emissions into the Atmosphere during the Loading of Hydrocarbons in Marine Oil Tankers in the Arctic Region.", "description": " - Emissions of volatile organic compounds into the atmosphere when loading oil or petroleum products into tankers are strong environmental pollutants. Given the increase in oil transport by sea and the development of Arctic routes, humanity faces the task of preserving the Arctic ecosystem. Vapor recovery units can limit the emissions of volatile organic compounds. However, it is necessary to estimate the emissions of oil and petroleum products vapors. This article offers two methods for estimating emissions of volatile organic compounds. In the analytical method, a mathematical model of evaporation dynamics and forecasting tank gas space pressure of the tanker is proposed. The model makes it possible to estimate the throughput capacity of existing gas phase discharge pipeline systems and is also suitable for designing new oil vapor recovery units. Creating an experimental laboratory stand is proposed in the experimental method, and its possible technological scheme is developed. - , - Refereed - , - 14.1 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2272", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2272", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2272", "url": "https:\/\/hdl.handle.net\/11329\/2272" }, "author": [ { "@type": "Person", "name": "Fetisov, Vadim" }, { "@type": "Person", "name": "Pshenin, Vladimir" }, { "@type": "Person", "name": "Nagornov, Dmitrii" }, { "@type": "Person", "name": "Lykov, Yuri" }, { "@type": "Person", "name": "Mohammadi, Amir H." } ], "keywords": [ "Vapor recovery unit (VRU)", "Emissions assessment", "Oil evaporation", "Volatile organic compounds (VOCs);", "Halocarbons (including freons)", "Human activity", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2137", "name": "A New Blue Curriculum \u2013 A toolkit for policy-makers.", "description": " - This Toolkit aims to support policy-makers, curriculum developers and educational authorities in implementing Ocean Literacy into their national curriculum framework. Ocean Literacy is a tool, a framework and, more broadly, a mindset that forefronts the ocean in all aspects of life on Earth. As an approach for society as a whole, Ocean Literacy catalyzes actions to protect, conserve and sustainably use the ocean. The ocean is intrinsically connected to every part of the globe, to human livelihoods and to sociocultural practices. Understanding the ocean\u2019s influence on us and our influence on the ocean is vital to develop and practice sustainable ways of living together. With the launch of the UN Decade of Ocean Science for Sustainable Development (2021\u20132030), this Toolkit builds on the momentum of the global Ocean Literacy movement to support Ocean Decade Outcome 7 \u2013 \u2019An inspiring and engaging ocean\u2019. By synthesizing the latest research and case studies provided by Member States who currently are already promoting ocean literacy, this Toolkit aims to offer orientation on how to \u2018blue\u2019 curriculum and guidelines, in line with trends in education. Enhancing the knowledge and capacity of schools, teachers and learners about the ocean furthers society\u2019s understanding of the importance of ocean life and ocean\u2013human interactions. In turn, this knowledge advances the need to preserve and care for ocean resources, and to support better decision-making by society as a whole. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2137", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2137", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2137", "url": "https:\/\/hdl.handle.net\/11329\/2137" }, "author": [ { "@type": "Person", "name": "Santoro, Francesca" }, { "@type": "Person", "name": "Tereza de Magalh\u00e3es, Ana Vit\u00f3ria" }, { "@type": "Person", "name": "Middleton, Fiona" }, { "@type": "Person", "name": "Buchanan-Dunlop, Jamie" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Ocean literacy", "Education", "National curriculum", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2419", "name": "ECSA's Characteristics of Citizen Science. Version 1.", "description": " - This document attempts to represent a wide range of opinions in an inclusive way, to allow for different types of projects and programmes, where context-specific criteria can be set.The characteristics outlined below are based on views expressed by researchers, practitioners, public officials and the wider public. Our aim is to identify the characteristics that should be considered when setting such criteria (e.g. a funding scheme), and we call upon readers to determine which subset of these characteristics is relevant to their own specific context and aims. These characteristics build on (and refer to) the ECSA 10 principles of citizen science as a summary of best practie \u2013 and projects are expected to engage meaningfully with them. Where it is especially pertinent, we refer to them in the characteristics below. The rest of the document covers the characteristics of citizen science under five sections: (1) core concepts; (2) disciplinary aspects; (3) leadership and participation; (4) financial aspects; and (5) data and knowledge. Further explanation and background are provided in the \u2018ECSA\u2019s characteristics of citizen science: explanation notes\u2019 document. The research article describing this work 'Contours of citizen science: a vignette study' can be found in the Royal Society Open Science journal at https:\/\/doi.org\/10.1098\/rsos.202108. - , - Published - , - The characteristics working group included Muki Haklay, Alice Motion, B\u00e1lint Bal\u00e1zs, Barbara Kieslinger, Bastian Greshake Tzovaras, Christian Nold, Daniel D\u00f6rler, Dilek Fraisl, Dorte Riemenschneider, Florian Heigl, Fredrik Broun\u00e9us, Gerid Hager, Katja Heuer, Katherin Wagenknecht, Katrin Vohland, Lea Shanley, Lionel Deveaux, Luigi Ceccaroni, Maike Weisspflug,, Margaret Gold, Marzia Mazzonetto, Monika Ma\u010diulien\u0117, Sasha Woods, Soledad Luna, Susanne Hecker, Teresa Schaefer, Tim Woods and Uta Wehn. The development of these characteristics was supported by European Union's Horizon 2020 research and innovation programme under grant agreement No. 824580, project EU-Ci\u019fzen.Science (The Platform for Sharing, Initiatng, and Learning Citizen Science in Europe), the ERC Advanced Grant project European Ci\u019fzen Science: Analysis and Visualisation (under Grant Agreement No 694767). Thanks to the Bettencourt Schueller Foundation long term partnership, this work was partly supported by CRI Research Fellowships to Muki Haklay, Alice Motion, and Bastian Greshake Tzovaras The research article describing this work 'Contours of citizen science: a vignette study' can be found in the Royal Society Open Science journal at https:\/\/doi.org\/10.1098\/rsos.202108. - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Multi-organisational - , - National - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2419", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2419", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2419", "url": "https:\/\/hdl.handle.net\/11329\/2419" }, "contributor": [ { "@type": "Organization", "name": "European Citizen Science Association" } ], "keywords": [ "Citizen Science", "Cross-discipline", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1791", "name": "Long-term passive acoustic recordings track the changing distribution of North Atlantic right whales (Eubalaena glacialis) from 2004 to 2014.", "description": " - Given new distribution patterns of the endangered North Atlantic right whale (NARW; Eubalaena glacialis) population in recent years, an improved understanding of spatio-temporal movements are imperative for the conservation of this species. While so far visual data have provided most information on NARW movements, passive acoustic monitoring (PAM) was used in this study in order to better capture year-round NARW presence. This project used PAM data from 2004 to 2014 collected by 19 organizations throughout the western North Atlantic Ocean. Overall, data from 324 recorders (35,600 days) were processed and analyzed using a classification and detection system. Results highlight almost year-round habitat use of the western North Atlantic Ocean, with a decrease in detections in waters off Cape Hatteras, North Carolina in summer and fall. Data collected post 2010 showed an increased NARW presence in the mid-Atlantic region and a simultaneous decrease in the northern Gulf of Maine. In addition, NARWs were widely distributed across most regions throughout winter months. This study demonstrates that a large-scale analysis of PAM data provides significant value to understanding and tracking shifts in large whale movements over long time scales. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Species distributions - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1791", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1791", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1791", "url": "https:\/\/hdl.handle.net\/11329\/1791" }, "author": [ { "@type": "Person", "name": "Davis, Genevieve E." }, { "@type": "Person", "name": "Baumgartner, Mark F." }, { "@type": "Person", "name": "Bonnell, Julianne M." }, { "@type": "Person", "name": "Bell, Joel" }, { "@type": "Person", "name": "Berchok, Catherine" }, { "@type": "Person", "name": "Thornton, Jacqueline" }, { "@type": "Person", "name": "Brault, Solange" }, { "@type": "Person", "name": "Buchanan, Gary" }, { "@type": "Person", "name": "Charif, Russell A." }, { "@type": "Person", "name": "Cholewiak, Danielle" }, { "@type": "Person", "name": "Clark, Christopher W." }, { "@type": "Person", "name": "Corkeron, Peter" }, { "@type": "Person", "name": "Delarue, Julien" }, { "@type": "Person", "name": "Dudzinski, Kathleen" }, { "@type": "Person", "name": "Hatch, Leila" }, { "@type": "Person", "name": "Hildebrand, John" }, { "@type": "Person", "name": "Hodge, Lynn" }, { "@type": "Person", "name": "Klink, Holger" }, { "@type": "Person", "name": "Kraus, Scott" }, { "@type": "Person", "name": "Martin, Bruce" }, { "@type": "Person", "name": "Mellinger, David K." }, { "@type": "Person", "name": "Moors-Murphy, Hilary" }, { "@type": "Person", "name": "Nieukirk, Sharon" }, { "@type": "Person", "name": "Nowacek, Douglas P." }, { "@type": "Person", "name": "Parks, Susan" }, { "@type": "Person", "name": "Read, Andrew J." }, { "@type": "Person", "name": "Rice, Aaron N." }, { "@type": "Person", "name": "Risch, Denise" }, { "@type": "Person", "name": "\u0160irovi\u0107, Ana" }, { "@type": "Person", "name": "Soldevilla, Melissa" }, { "@type": "Person", "name": "Stafford, Kate" }, { "@type": "Person", "name": "Stanistreet, Joy E." }, { "@type": "Person", "name": "Summers, Erin" }, { "@type": "Person", "name": "Todd, Sean" }, { "@type": "Person", "name": "Warde, Ann" }, { "@type": "Person", "name": "Van Parijs, Sofie M." } ], "keywords": [ "IOOC\/BIO-ICE", "Birds, mammals and reptiles", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1851.2", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report. Salinity Records 2009-2020. Version 2.0", "description": " - The Southern Ocean Time Series (SOTS) Observatory located near 141\u00b0E and 47\u00b0S provides high temporal resolution observations in Subantarctic waters. It is focused on the Subantarctic Zone because waters formed at the surface in this region by deep wintertime convection slide under warmer subtropical and tropical waters, carrying CO2 and heat into the deep ocean, where it is out of contact with the atmosphere. This process also supplies oxygen for deep ocean ecosystems, and exports nutrients that fuel ~70% of global ocean primary production. Local biological production also impacts carbon cycling and the SOTS moorings measure several variables important to these processes. This report describes the quality control (QC) procedures applied to salinity data collected from the SOTS moorings between 2006 and 2020. These measurements help to quantify heat and freshwater transfers, help to distinguish Eulerian from Lagrangian influences on seasonal records, and contribute to understanding controls on surface mixed layer depth (and thus light availability to primary production). The quality-controlled datasets are publicly available via the Australian Ocean Data Network (AODN) Portal: Open Access to Ocean Data (aodn.org.au). This report should be consulted when using the data. The QC procedures apply automated tests following QARTOD recommendations for in-situ temperature and salinity data quality control (Bushnell and Worthington, 2020), with the test parameters tailored to reflect regional oceanography. QARTOD is an initiative of the US Integrated Ocean Observing System for Quality Assurance of Real Time Oceanographic Data: https:\/\/ioos.noaa.gov\/project\/qartod\/. The procedures detailed in this document yield QC flags for each observation, as well as uncertainty estimates for the overall results. They also now (Version 2.0 onward) provide some adjustments, but do not produce a gridded data set (that task will be addressed in a subsequent report). - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Salinity - , - Subsurface Salinity - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1851.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1851.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1851.2", "url": "https:\/\/hdl.handle.net\/11329\/1851.2" }, "author": [ { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Shadwick, Elizabeth H." }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Salinity data", "Water column temperature and salinity", "salinity sensor", "Data quality control", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/97.2", "name": "SIGRID-3 : a vector archive format for sea ice georeferenced information and data. Version 3.0.", "description": " - This document describes Version 3.0 of SIGRID-3 (Sea Ice GeoReferenced Information and Data), an evolution of the SIGRID series of standards for coding, exchange and archiving of digital ice charts. Version 3.0 retains the essential structure of its predecessor and is backwards compatible with earlier versions of SIGRID-3. The important extension of Version 3 is to incorporate the features, attributes and encoding of the Ice Objects Catalogue for Electronic Navigation Charts (ENCs). The purpose of this extension is to facilitate the automatic translation of digital ice charts into S-57 and S-10x ENC formats. - , - http:\/\/www.aari.nw.ru\/gdsidb\/docs\/wmo\/JCOMM%20TR23%20SIGRID3.pdf - , - Published - , - Refereed - , - Current - , - Sea ice - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/97.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/97.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/97.2", "url": "https:\/\/hdl.handle.net\/11329\/97.2" }, "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Sea ice SIGRID charts", "Ice charts", "Other physical oceanographic measurements", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/290", "name": "Manual for Real-Time Quality Control of Dissolved Nutrients Observations: a Guide to Quality Control and Quality Assurance for Dissolved Nutrients Observations in Coastal Oceans Version 1.0.", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the dissolved nutrients (DN) community at large for the real-time QC of DN measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean observing community and represents a contribution to a collection of core variable QC documents. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/290", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/290", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/290", "url": "https:\/\/hdl.handle.net\/11329\/290" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "QARTOD", "IOOS", "Quality assurance", "Dissolved nutrients", "Physical oceanography", "Instrument Type Vocabulary::nutrient analysers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1849", "name": "Community-based monitoring of Alaska\u2019s coastal and ocean environment : best practices for linking Alaska citizens with science.", "description": " - A Community-Based Monitoring (CBM) workshop was convened in Anchorage, Alaska, on April 1-2, 2014. The purpose was to bring together scientists, practitioners, community members, and funders involved in CBM to identify and respond to common issues and share successful practices for CBM in Alaska. The best practices presented here are the results of presentations and discussions at the workshop. Subject areas explored included a comparison of the perspectives of diverse participants in Alaska CBM programs; designing for success; collecting, interpreting, and using scientific data and Traditional Knowledge; and measuring success. The best practices for successful CBM programs that emerged from the workshop include \u2022 The need for monitoring and the intended use of the data are clearly identified. \u2022 The program has clearly identified benefits for the community, including the involvement of youth whenever possible. \u2022 A scientist, agency, or organization is committed to manage the program, to be responsive to community needs, and to meet the scientific needs of the intended users of the data. \u2022 Data collection, analysis, and management: The methods are scientifically defensible. The community has been consulted about appropriate methods for data analysis and dissemination and their involvement in these aspects of the program is clearly specified. The methods are feasible and appropriate to the capability and culture of the community. A strategy for recruiting, training, and retaining data collectors is in place. Data and data products will be accessible to potential data users, including the community or community partners. Sensitive data (e.g., Traditional Knowledge, subsistence and other harvest data) and intellectual property rights are recognized and protected. A long-term plan is in place for data and metadata management and archival. \u2022 Communication is planned throughout the program that is appropriate to the partners in terms of both methods and frequency. \u2022 A strategy is in place for evaluating objectives and outcomes related to data collection, data quality, sustained participation, and benefits to the community participants. \u2022 The program is or will be managed adaptively; i.e., information gained through evaluation and assessment will be used to improve the program. \u2022 An exit strategy is in place in case objectives are met or opportunities for continuation and expansion are exhausted. - , - Alaska Sea Grant Program - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1849", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1849", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1849", "url": "https:\/\/hdl.handle.net\/11329\/1849" }, "contributor": [ { "@type": "Organization", "name": "Alaska Sea Grant College Program" } ], "keywords": [ "Citizen science", "Indigenous communites", "CBM", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1346", "name": "Improving the Accuracy of Single Turnover Active Fluorometry (STAF) for the Estimation of Phytoplankton Primary Productivity (PhytoPP).", "description": " - Photosystem II (PSII) photochemistry is the ultimate source of reducing power for phytoplankton primary productivity (PhytoPP). Single turnover active chlorophyll fluorometry (STAF) provides a non-intrusive method that has the potential to measure PhytoPP on much wider spatiotemporal scales than is possible with more direct methods such as 14C fixation or O2 evolved through water oxidation. Application of a STAF-derived absorption coefficient for PSII light-harvesting (aLHII) provides a method for estimating PSII photochemical flux on a unit volume basis (JVPII). Within this study, we assess potential errors in the calculation of JVPII arising from sources other than photochemically active PSII complexes (baseline fluorescence) and the package effect. Although our data show that such errors can be significant, we identify fluorescencebased correction procedures that can be used to minimize their impact. For baseline fluorescence, the correction incorporates an assumed consensus PSII photochemical efficiency for dark-adapted material. The error generated by the package effect can be minimized through the ratio of variable fluorescence measured within narrow wavebands centered at 730 nm, where the re-absorption of PSII fluorescence emission is minimal, and at 680 nm, where re-absorption of PSII fluorescence emission is maximal. We conclude that, with incorporation of these corrective steps, STAF can provide a reliable estimate of JVPII and, if used in conjunction with simultaneous satellite measurements of ocean color, could take us significantly closer to achieving the objective of obtaining reliable autonomous estimates of PhytoPP. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-06-14 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1346", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1346", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1346", "url": "https:\/\/hdl.handle.net\/11329\/1346" }, "author": [ { "@type": "Person", "name": "Boatman, Tobias G." }, { "@type": "Person", "name": "Geider, Richard J." }, { "@type": "Person", "name": "Oxborough, Kevin" } ], "keywords": [ "Photosynthesis", "Primary productivity", "Photosystem II", "Chlorophyll fluorescence", "Package effect", "Ocean colour", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1977", "name": "Seek, keep and transfer: a step-by-step guide to ABS Compliance when utilizing marine genetic resources.", "description": " - This guide is delivered by the EBB (European Blue Biobank) project11 with support of the European Marine Biological Resource Centre (EMBRC-ERIC) ABS Working-Group. This guide is a to-do-list to assist public and private sector scientists conducting research using biological resources to ensure compliance with regards to Access & Benefit Sharing (ABS). - , - European Union, INTERREG - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - International - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1977", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1977", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1977", "url": "https:\/\/hdl.handle.net\/11329\/1977" }, "author": [ { "@type": "Person", "name": "Kervella, Anne-Emmanuelle" }, { "@type": "Person", "name": "Laroquette, Arnaud" }, { "@type": "Person", "name": "Martin Miguez, Bel\u00e9n" }, { "@type": "Person", "name": "Da Costa, Fiz" }, { "@type": "Person", "name": "Probert, Ian" }, { "@type": "Person", "name": "Cancio, Ibon" }, { "@type": "Person", "name": "Costa, Mar\u00eda M." }, { "@type": "Person", "name": "Pade, Nicolas" } ], "contributor": [ { "@type": "Organization", "name": "European Marine Biological Resource Centre\/European Blue Biobank" } ], "keywords": [ "Biological oceanography", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1103", "name": "OGC\u00ae SWE Common Data Model Encoding Standard. Version 2.0.0.", "description": " - This standard defines low level data models for exchanging sensor related data between nodes of the OGC\u00ae Sensor Web Enablement (SWE) framework. These models allow applications and\/or servers to structure, encode and transmit sensor datasets in a self describing and semantically enabled way. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1103", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1103", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1103", "url": "https:\/\/hdl.handle.net\/11329\/1103" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "SWE", "Common Data Model" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1283", "name": "Standard Operating Procedures for Analytical Methods and Data Collection in Support of Pilot-Scale Cultivation of Microalgae. Public Output report WP1A3.01 of the EnAlgae Project,", "description": " - This document is a compilation of Standard Operating Procedures (SOPs) deployed by the EnAlgae microalgal pilot facilities. EnAlgae was a four year Strategic Initiative of INTERREG IVB North West Europe programme. One of the outputs of the EnAlgae project was the development of an integrated network of pilot plants for growing microalgae. An important part of this activity was an exchange of views on operating procedures both with respect to best practices (documented elsewhere) and SOPs. The use of such SOPs provides a unified mechanism for the acquisition and management of data collection. Methods of analysis are described together with data collection (continuous and discrete) on the following types of parameters: environmental parameters, nutrients, algal growth during cultivation, and composition of harvested biomass. Considerations of accuracy and precision are included, with the aim of standardising methods between different analysts and institutions. The document brings together SOPs used by the microalgal partners to serve as a useful starting point for those new to pilot and commercial scale algal cultivation. In addition the generation of such data series is an essential prerequisite for the parameterisation and validation of mathematical models of algal biomass production for commercial exploitation. - , - Published - , - Contributors: Rhiannon Wilcoxa, Naomi Ginnevera, Craig Pooleya, Sofie Van Den Hendeb, Alexandra Lefoulonb, Laurent Cedricb, Matthew P. Daveyc, Anneliese Ernste, Chris de Visserf and Wim van Dijkf - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1283", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1283", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1283", "url": "https:\/\/hdl.handle.net\/11329\/1283" }, "contributor": [ { "@type": "Organization", "name": "EnAlgae, Swansea University, Centre for Sustainable Aquatic Research" } ], "keywords": [ "Seaweed", "Sargassum", "Microalgae cultivation", "Algal biomass production", "Standard operating procedures", "European Project", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2057", "name": "INTAROS Community-Based Monitoring Capacity Development Process in Yakutia and Komi Republic, Arctic Russia.", "description": " - INTAROS (Integrated Arctic Observing System) is an effort funded by the European Union to extend and improve existing and evolving observing systems that encompass the land, air and sea in the Arctic. INTAROS has been implementing a community-based monitoring (CBM) capacity development process among selected indigenous peoples\u2019 communities in Arctic Russia since September 2017. The areas and sites involved include communities in Zhigansk and Olenek districts in Sakha Republic, Eastern Siberia, and Komi-Izhma communities in Komi Republic. The CBM activities are primarily being implemented in the various communities of Zhigansk and Olenek districts in Sakha Republic, which is home to the Evenk indigenous communities. The indigenous communities involved are mainly fishermen, hunters and reindeer herders who are heavily dependent on the living natural resources in remote areas of the Arctic. All areas have indigenous communities making important local use of living resources but who are, at the same time, facing serious challenges in relation to accessing these resources due to changes in resource availability and threats, including pollution and resource depletion caused by various forms of mining and the oil and gas industry, as well as companies utilising and increasingly monopolising the fish resources. The areas are classified as traditional areas of occupational use. This is a legal status that gives indigenous communities in Russia a degree of protection but, in practise, it has proved difficult to enforce this status in relation to protecting the rights of indigenous communities. The organisations involved in the CBM process are first and foremost the Centre for Support to Indigenous People of the North (CSIPN), the Republic Indigenous Peoples\u2019 Organisation of Sakha Republic and NORDECO (Nordic Foundation for Development and Ecology) from Denmark. The CBM process has involved a wide range of workshops and meetings in the communities of the targeted districts. A total of 20 workshops and meetings have been conducted in the three districts, with an average of some 10-15 people involved in each one. The workshops and meetings have focused on introducing CBM and on building capacity to undertake CBM in the communities. Subsequent workshops have focused on how concrete CBM activities are being implemented in the respective communities. Different communities have been involved in the INTAROS CBM process for different lengths of time, with some starting in 2017, others in 2018 and a few in 2019. The status as of May 2019 is that eight different CBM groups are actively undertaking CBM within the targeted areas. Key participants in workshops and meetings have included local fishermen, hunters and herders, local indigenous peoples\u2019 representatives, various members of local authorities, and school students and teachers. Sakha Republic, Zhigansk and Kystatyam. Workshops were held in September 2017 and September 2018 in Zhigansk and Kystatyam in Zhigansk District, Sakha Republic. Here, involvement in CBM activities includes fishermen and hunters from Zhigansk; fishermen, hunters and herders in Kystatyam; and school students and teachers from Zhigansk School. In summary, the natural resources and the main issues discussed were: \u2022 Fishing grounds and fisheries are being taken over by outside companies. A major change in the law has allowed for hunting and fishing rights to be bought, controlled and monopolised by outside companies through a system of auctions. In Zhigansk District, when locals attempt to fish, they are now frequently told to leave the area. Although indigenous demonstrations and boycott threats were organised in the Republic, this only helped bring about changes to the hunting laws. Fishing laws remained untouched, and these are of far more significance to the people. Fishing area auctions are still occurring and companies still control the majority of fisheries. Only subsistence fishing is allowed, and local people may only legally sell fish if it is 2 through the companies, on their terms. The changes that are occurring with regard to the fishing areas and fishery resources are of crucial importance locally. \u2022 Certain species of fish (first of all, Arctic cisco (Coregonus autumnalis) and Siberian cisco (Coregonus sardinella) are especially vital for the people, who have seen major changes in access to these fish. There is a decline in availability. \u2022 Lake fishing involving Peled (Coregonus peled) and Siberian whitefish (Coregonus lavaretus pidschian) is a crucial resource. Lake fishing is experiencing major changes, and these are affecting people\u2019s livelihood opportunities. \u2022 The domestic reindeer industry is considered to be in crisis. There has been a decline from 20,000 to only 3,000 in the area. There is reportedly plenty of pastureland, so this is not the problem. The issue revolves around the methods and measures for organising and supporting reindeer husbandry, which are not currently conducive to the industry. The availability of suitable food, the right reindeer lichen, is also a topic that requires better understanding, however. \u2022 Wild reindeer are an important resource in the area, especially for local hunting. The populations of wild reindeer have been in decline, so knowledge of their numbers and movements would be invaluable. \u2022 Moose is another important natural resource. The population has been steadily decreasing, with hunting rules - such as the need not to shoot females - widely disregarded. \u2022 Sable (Martes zibellina) is traditionally an important animal, locally hunted for the fur trade. The income from hunting sable has reduced significantly, and practices are no longer environmentally or economically sustainable. \u2022 Wolf populations are increasing in numbers; this is considered worrying by the community members as wolves are an increasing threat to domestic reindeer and to people. \u2022 Brown bear populations are also a growing threat to the local people due to increasing numbers of attacks and encounters close to villages. It is difficult for locals to control the numbers due to a lack of licenses for bear hunting. People are increasingly afraid to go into the forest. Key resources that the CBM groups in Zhigansk and Kystatyam are monitoring include: \u2022 Availability of fishing areas and rules regarding fishing as well as fish prices \u2022 Arctic cisco (Coregonus autumnalis) in the Lena River in summer and autumn (catch, size and time of occurrence) \u2022 Water quality in Lena River \u2022 Siberian cisco (Coregonus sardinella) in the Lena River during winter time (catch, size and time of occurrence) \u2022 Lake fish (Peled - Coregonus peled, Siberian whitefish - Coregonus lavaretus pidschian) \u2022 Reindeer husbandry (methods of reindeer husbandry support) \u2022 Wild reindeer (population dynamics) \u2022 Moose (distribution, population dynamics) \u2022 Brown bear (population dynamics) \u2022 Wolf (distribution, population dynamics) \u2022 Sable (population dynamics) 3 Sakha Republic, Olenek, Kharyalakh and Zhilinda. Workshops were held in September 2018 and April 2019 in Olenek, Kharyalakh and Zhilinda. Here, involvement in CBM activities includes hunters and fishermen from Olenek; hunters, fishermen and herders from Kharyalakh; and hunters, fishermen and herders from Zhilinda; as well as school students and teachers from Olenek School. In summary, the natural resources and the main issues discussed were: \u2022 Wild reindeer. The hunting of wild reindeer is the most important resource for the local communities of the area. The occurrence of wild reindeer is dynamic and changing. Hunting restrictions are not aligned with the actual numbers of wild reindeer. The local communities consider that the hunting quotas and licenses have been unreasonably reduced by the authorities. Overall, the population of wild reindeer has increased but major changes in abundance are occurring from year to year. Wolf predation on the wild reindeer population is significant. Major worries are that hunting of wild reindeer will be negatively affected by future developments, including industrial. A better understanding of wild reindeer migration routes is needed. \u2022 Domestic reindeer. Olenek District used to have a large domestic reindeer production but this has decreased sharply in recent decades. Domestic reindeer production is facing many problems. One key issue is the very substantial wolf predation on the domestic herds, resulting in losses of up to 20-25% of the animals per year. Pasture quality is also an issue in reindeer herding. \u2022 Wolf. There has been a sharp increase in the number of wolves. This is a major problem, especially for domestic but also for wild reindeer. The reason for this increase is considered to be a lack of effective wolf control measures. \u2022 Industrial mining development. There were major concerns raised in all the villages with regard to the various ongoing and planned industrial developments in the area. The concerns relate to water pollution, air pollution (radioactive from rare earth metal mining) and to the blocking of reindeer migration routes and overutilization of living resources in and adjacent to the industrial sites. \u2022 Water quality of the river. Drinking water quality is a major concern for people. The quality of fishing water is also important. There are fears that water quality is deteriorating. \u2022 Sable. Sable are important for the fur trade although prices have reduced significantly. The population is considered to be stable. \u2022 Brown bear. Numbers are increasing and people are increasingly afraid of encountering bears. \u2022 Fish population, including Tugun, or Tugunok (Coregonus tugun), a small fish very important for the livelihood of the Olenek people, and Arctic grayling (Thymallus arcticus) are understood to be declining in the area. Fishing license policy does not currently support local people. \u2022 Berries. Berries are very important for people and there is a need to ensure continued supply. Key resources that the CBM groups in Olenek, in Kharyalakh and in Zhilinda are monitoring include: \u2022 Wild reindeer \u2022 Berries \u2022 Brown bear \u2022 Wolf 4 \u2022 Tugun, Tugunok (Coregonus tugun) \u2022 Arctic grayling (Thymallus arcticus) \u2022 Water quality \u2022 Polar fox \u2022 Sable \u2022 Lenok (a fish) \u2013 (Brachymystax lenok) \u2022 Pike \u2022 Domestic reindeer and pasture quality The general status of the CBM process is that local communities and local indigenous peoples\u2019 representatives are interested in and supportive of the CBM activities. CBM activities are well underway in a number of areas of Sakha Republic. The use of CBM is generally understood and seen as a relevant activity that will provide the local communities with an improved way of developing and presenting local knowledge on resources and resource use. Local authorities are supportive of the activities. The Republic Indigenous Peoples\u2019 (IP) organisation is taking a leading role in activities and ensuring linkages to the communities. Input from the CBM groups (information, analysis and recommendations) has been used by the Republic IP organisation to seek influence over the management of a number of subject areas related to resource management at both Republic and District level. Organising and communicating information is being undertaken using short and relevant forms, which are filled out by the CBM groups and which include resource information, analysis of information and suggested actions. A summary of the impacts of CBM activities so far includes: \u2022 Project participation is linking well with the process of seeking to put the territories of traditional land use into practise rather than being merely a classification on paper, as they are now. The work with the CBM groups is helping the IPs to become more the subjects of the development of the traditional land rather than just the objects of its development. This contributes to more active local people. It also contributes to monitoring the various industrial developments (mining) that are being undertaken and planned on traditional territories. The CBM work is thus a tool that contributes to a dialogue between the extractive industries and the owners\/users of the traditional lands. \u2022 An obshina (community) in Zhigansk has obtained the rights to a traditional fishing ground partly because of its active participation in the CBM group project. This work empowered the obshina and gave extra clout to their process of obtaining the rights. \u2022 Information on fishing and the challenging of fishing net sizes from the CBM groups, where the CBM groups have established that two most important fish \u2013 Siberian cisco and Arctic cisco \u2013 species are swimming deeper due to warmer waters and are therefore difficult to catch with the permitted net types. This action has been used by the IP organisation at several meetings with the Republic\u2019s authorities, who then refer the matter up to the Federal authorities. \u2022 Information on brown bear problems has been promoted at several meetings with the Republic\u2019s authorities in order to seek better solutions by which local people can protect themselves from bear attacks. \u2022 The information on wild reindeer hunting shows that this is very important and that local people are worried about its future due to industrial development (mines). The IP association has taken this to the mining company and agreed a monitoring programme for wild reindeer with them. Information on wild reindeer populations and their strong fluctuations, as well as the mismatch with set hunting quotas, is also being used to influence the authorities\u2019 decisions on management of reindeer hunting. 5 \u2022 Monitoring has raised problems of water pollution around the Alrosa diamond mining sites. The IP organisation has taken the problem of water quality monitoring to the District- and Republiclevel authorities. \u2022 Establishment of the CBM groups has generally resulted in much more important information reaching the IP association from the communities and this is proving useful in dialogues with the authorities. \u2022 The IP organisation in Zhigansk District has become more active due to the introduction of the CBM activities. - , - European Union through the INTAROS (Integrated Arctic Observing System) project. - , - Published - , - Non Refereed - , - Current - , - 2 - , - 3 - , - 15 - , - 17 - , - 14.a - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2057", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2057", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2057", "url": "https:\/\/hdl.handle.net\/11329\/2057" }, "author": [ { "@type": "Person", "name": "Enghoff, Martin" }, { "@type": "Person", "name": "Vronski, Nikita" }, { "@type": "Person", "name": "Shadrin, Vyacheslav (Slava)" }, { "@type": "Person", "name": "Sulyandziga, Rodion" }, { "@type": "Person", "name": "Danielsen, Finn" } ], "contributor": [ { "@type": "Organization", "name": "CSIPN, RIPOSR, NORDECO and INTAROS" } ], "keywords": [ "Community-based monitoring of the environment and natural resources", "Indigenous and Local Knowledge", "Indigenous communities", "Environment", "Fisheries and aquaculture", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/503", "name": "Defining principles for mobile apps and platforms development in citizen science [ Workshop results: December 2016, Berlin, April 2017, Gothenburg].", "description": " - Apps for mobile devices and web-based platforms are increasingly used in citizen science projects. While extensive research has been done in multiple areas of studies, from Human-Computer Interaction to public engagement in science, we are not aware of a collection of recommendations specific for citizen science that provides support and advice for planning, design and data management of mobile apps and platforms that will assist learning from best practice and successful implementations. In two workshops, citizen science practitioners with experience in mobile application and web-platform development and implementation came together to analyse, discuss and define recommendations for the initiators of technology based citizen science projects. Many of the recommendations produced during the two workshops are applicable to citizen science project that do not use mobile devices to collect data. Therefore, we propose to closely connect the results presented here with ECSA\u2019s Ten Principles of Citizen Science. - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/503", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/503", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/503", "url": "https:\/\/hdl.handle.net\/11329\/503" }, "author": [ { "@type": "Person", "name": "Sturm, U." }, { "@type": "Person", "name": "Schade, S." }, { "@type": "Person", "name": "Ceccaroni, L." }, { "@type": "Person", "name": "Gold, M." }, { "@type": "Person", "name": "Kyba, C." }, { "@type": "Person", "name": "Claramunt, B." }, { "@type": "Person", "name": "Haklay, M." }, { "@type": "Person", "name": "Kasperowski, D." }, { "@type": "Person", "name": "Albert, A." }, { "@type": "Person", "name": "Piera, J." }, { "@type": "Person", "name": "Brier, J." }, { "@type": "Person", "name": "Kullenberg, C." }, { "@type": "Person", "name": "Luna, S." } ], "keywords": [ "Citizen science", "Digital technologies" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1904", "name": "Creation of a global tide analysis dataset: Application of NEMO and an offline objective analysis scheme.", "description": " - The accurate prediction of tides is vital for the operation of many industries, early warning of coastal flooding and scientific understanding of ocean processes. In this paper, we describe the creation method of a global dataset of tidal harmonics using NEMO (Nucleus for European Modelling of the Ocean) for the first time and an offline objective analysis scheme. Data are assimilated as part of a post-processing step, reducing the computational resources required. A reduced ensemble of tidal harmonics is generated, where each member is run for a shorter period of time than a central background state. This ensemble is used to estimate a single background covariance state, which is used for analysis. Output is validated using an ensemble of objective analyses. For each ensemble member, random selections of observations are omitted and validation is performed at these locations. Improvements in both Mean Absolute Error (MAE) and correlation coefficients (R2) are seen across all 6 of the largest diurnal and semidiurnal constituents. MAEs in amplitude and phase are reduced by up to 78% and 89%, respectively, and correlations by as much as 0.14. In addition, the majority of locations (between 70 and 80%) see significant improvement. - , - Refereed - , - 14.a - , - Sea surface height - , - Pilot and Demonstrated - , - Novel (no adoption outside originators) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1904", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1904", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1904", "url": "https:\/\/hdl.handle.net\/11329\/1904" }, "author": [ { "@type": "Person", "name": "Byrne, David" }, { "@type": "Person", "name": "Polton, Jeff" }, { "@type": "Person", "name": "Bell, Colin" } ], "keywords": [ "Nucleus for European Modelling of the Ocean (NEMO)", "Ocean modelling", "Tidal harmonics", "Sea level", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/121.2", "name": "Guide to wave analysis and forecasting. 2018 edition.", "description": " - National Meteorological and Hydrological Services (NMHSs) of numerous maritime countries have been engaged in the provision of ocean wave forecast and hindcast services in support of user requirements across the whole range of maritime activities (shipping, fisheries, offshore mining, commerce, coastal engineering, construction, recreation and so on) for many years. In recognition of this, and of the relative lack of easily accessible guidance material on wave forecasting methodology suitable for use by NMHSs in developing countries, the Guide to Wave Analysis and Forecasting was originally prepared by a group of experts and published in 1988 as WMO\u2011No. 702. This formal Guide updated and replaced the earlier and very popular Handbook on Wave Analysis and Forecasting (WMO\u2011No. 446), published in 1976. The 1988 edition of the Guide was subsequently updated in 1998 (second edition). This 2018 version (third edition) represents the latest updates, taking into account the dramatic improvements in wave modelling and observational capability over the last two decades. - , - https:\/\/library.wmo.int\/opac\/doc_num.php?explnum_id=3110 - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface height - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/121.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/121.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/121.2", "url": "https:\/\/hdl.handle.net\/11329\/121.2" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Wave generation", "Wave analysis", "Wave forecasting", "Numerical wave modelling", "Wave models", "Shallow water waves", "Wave data", "Wave climate statistics", "Waves", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2353", "name": "Review of plastic footprint methodologies: Laying the foundation for the development of a standardised plastic footprint measurement tool.", "description": " - Of the 8,300 million tonnes (Mt) of plastic produced from 1950 to 2015, only 7% has been recycled while more than half has been discarded in landfill or leaked into the environment. Plastic leakage into the environment demonstrates a systemic failure of the take-make-dispose consumption model and makes clear the need for a shift towards more circular material flows. With 10 Mt of plastics leaking into the ocean annually (Boucher & Friot, 2017) from a variety of sources, improving the circularity of plastic flows, from source-to-sea is key. Companies, organisations, and governments are taking measures to tackle plastic pollution. However, as recognised during the Third United Nations Environment Assembly (UNEA- 3, Nairobi, 2017), there is currently no standard methodology to measure the extent of the plastic problem. Countries and other stakeholders were encouraged to \u201ccooperate to establish common definitions and harmonized standards and methodologies for the measurement and monitoring of marine litter and microplastics\u201d. Only if equipped with credible, salient and legitimate data and analyses can decision-makers understand their current status, set targets, agree and implement actions, and track progress towards targets over time.. Recognising the needs identified in the UNEA-3 resolution, this report provides a review of existing and emerging methodologies to identify the abundance, distribution, types, sources, pathways and sinks of plastic pollution at different scales. It also provides an overview of the state of knowledge for impact assessment and monetary valuation methodologies, along with a glossary of key terms related to plastics, marine plastics and environmental footprints. The review of methodologies covers 19 that had been identified as of early 2019. An analysis reveals two groups of methodologies: the first comprises those that identify plastic waste streams and recycling rates at the national or business level; the second comprises methodologies that focus on pathway modelling to measure plastic leakage into waterways and oceans, from either mismanaged waste or in the form of microplastics. An analysis of the review concludes that there could be stronger convergence between methodologies in this fast-developing area and that plastic footprint methodologies are lacking in several ways - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - International - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2353", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2353", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2353", "url": "https:\/\/hdl.handle.net\/11329\/2353" }, "author": [ { "@type": "Person", "name": "Boucher, Julien" }, { "@type": "Person", "name": "Dubois, Carole" }, { "@type": "Person", "name": "Kounina, Anna" }, { "@type": "Person", "name": "Puydarrieux, Philippe" } ], "contributor": [ { "@type": "Organization", "name": "International Union for the Conservation of Nature (IUCN)" } ], "keywords": [ "Plastic leakage", "Plastic footprint", "Microplastics", "Plastic litter", "Marine plastics", "Anthropogenic contamination", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1206", "name": "Standardised protocol for monitoring microplastics in sediments. Deliverable 4.2.", "description": " - Marine anthropogenic litter has long been recognised as an emerging pollutant of global concern. Its ubiquitous distribution and its direct and indirect impacts on aquatic ecosystems, marine fauna and local economies have been recently highlighted by several studies and international organisations around the world. Although comprised of different materials, plastic constitutes the most abundant fraction reported in worldwide surveys, with percentages that are variable from region to region. Among plastic materials, microplastics (herein MPs), represent a huge concern due to their impacts resulting from fragmentation under weathering conditions (e.g. solar radiation, water temperature and abrasion processes) and from their ability to adsorb persistent, bioaccumulative and toxic chemicals (PBTC) (e.g. polychlorinated biphenyls - PCBs, polycyclic aromatic hydrocarbons \u2013 PAHs) and trace elements (e.g. Cu, Zn, etc.). In addition to these impacts, recent studies have also reported the potential for MPs to be easily mistaken as food particles and subsequently ingested by a wide range of organisms throughout the different environmental compartments (e.g. sediment, water, air). Under the scope of the JPI-Oceans, BASEMAN is an international and interdisciplinary collaborative research project that aims to overcome the lack of standardised methodologies through a profound and detailed comparison and evaluation of all approaches from sampling to identification of MPs. The two overall goals of the project are firstly \u201cThe validation and harmonisation of analytical methods\u201d which is indispensable for the second goal of \u201cIdentification and quantification of MPs\u201d. Based on these goals and with the overall aim of creating a standardised methodology to allow microplastics harmonised long-term monitoring in Europe, the BASEMAN project provides a set of recommended protocols to allow comparisons among studies. With this in mind, the protocols will focus on sampling, processing and analysis of MPs in samples from different environmental compartments, specifically addressing MPs from intertidal and subtidal sediments. This protocol is aimed at improving sampling, processing and MPs data collection quality while also allowing comparison amongst different studies throughout Europe. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1206", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1206", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1206", "url": "https:\/\/hdl.handle.net\/11329\/1206" }, "author": [ { "@type": "Person", "name": "Frias, Jo\u00e3o" }, { "@type": "Person", "name": "Pagter, Elena" }, { "@type": "Person", "name": "Nash, Roisin" }, { "@type": "Person", "name": "O'Connor, Ian" }, { "@type": "Person", "name": "Carretero, Olga" }, { "@type": "Person", "name": "Filgueiras, Ana" }, { "@type": "Person", "name": "Vi\u00f1as, Luc\u00eda" }, { "@type": "Person", "name": "Gago, J." }, { "@type": "Person", "name": "Antunes, Joana" }, { "@type": "Person", "name": "Bessa, Filipa" }, { "@type": "Person", "name": "Sobral, Paula" }, { "@type": "Person", "name": "Goruppi, Alenka" }, { "@type": "Person", "name": "Tirelli, Valentina" }, { "@type": "Person", "name": "Pedrotti, Maria Luiza" }, { "@type": "Person", "name": "Suaria, Giuseppe" }, { "@type": "Person", "name": "Aliani, Stefano" }, { "@type": "Person", "name": "Lopes, Clara" }, { "@type": "Person", "name": "Raimundo, Joana" }, { "@type": "Person", "name": "Caetano, Miguel" }, { "@type": "Person", "name": "Gerdts, Gunnar" } ], "contributor": [ { "@type": "Organization", "name": "JPI-Oceans BASEMAN Project." } ], "keywords": [ "Plastic debris", "Microplastics", "BASEMAN Project", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/494", "name": "Processing BGC-Argo measurement timing information at the DAC level. Version 1.0, March 28th 2017.", "description": " - Thermal lag or sensor time response corrections (e.g., [1]) require knowledge of the time of each individual sensor observation. In the Argo data system, the float's trajectory file is the natural place to put measurement timing information. Historically, only few levels of a float's profile have been timed, and DACs stored these sparse timed levels of the float profile in the trajectory already. Depending on the DAC, all measured paramters are stored with the timing information, or just the PRES variable is stored together with the time. With the need to have all observations timed, this approach leads to the following problems: a) With all parameters stored together with the timing information and put into the trajectory file, the trajectory file in effect duplicates all profiles. This contradicts the Argo data system's design to split profile and trajectory files and may pose a file size issue. b) With only PRES stored together with the timing information and put into the trajectory file, the only link between trajectory timing information and profile parameter observations is through the PRES variable. Due to the potential occurrence of equal PRES values for different parameter observations, this link may be ambiguous. To keep the structure of the Argo data system and to resolve these problems, Biogeochemical-Argo saw a need to be able to store timing information in the float's profile file. Following discussions at ADMT16, AST17, and ADMT17 it was concluded that timing information associated with each measured parameter of the profile is scientifically useful for Biogeochemical-Argo, but does not seem necessary for core Argo. Sparse timing data should remain in the trajectory file \u2013 it was designed to handle this data and keeps QC of timing information mostly to one file. Abundant timing information (i.e., timing information for all profile observations), however, are stored in the i-parameter \"MTIME\" in the b-profile files. It is optional to the individual DAC to use the MTIME parameter. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/494", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/494", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/494", "url": "https:\/\/hdl.handle.net\/11329\/494" }, "author": [ { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Rannou, Jean-Philippe" }, { "@type": "Person", "name": "Poteau, Antoine" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "BGC-Argo", "Argo floats", "Profiling floats", "Trajectory", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1609", "name": "Quality Control of Lidar Data, Version 1.0.", "description": " - An important driver for the Regional Coastal Monitoring Programmes is that all data collected and made freely available should be quality-controlled in a thorough and consistent manner, to ensure that the data meets the Specification, with the result that the data can be used subsequently with confidence for a wide variety of coastal engineering and management tasks. This document describes the procedures used by the National Network of Regional Coastal Monitoring Programmes to quality-control lidar data, and can be used at three different levels: - A summary of QC tests, for those users who just want a brief overview of the generic quality control - Details of the quality control process including: o Workflow process i.e. the checks to be made and the most suitable order in which they are carried out. This section includes mandatory checks plus some optional checks depending on the landscape captured e.g. high cliffs, or on the deliverables in the Brief. o The methods used to carry out the checks, including the thresholds used. This section includes clear examples of what is and what is not acceptable. - Sample procedures for undertaking the checks. Those undertaking quality control may use any software or methods they wish, providing the QC standards are met. However, since most of the data quality control tests are expected to be done in a GIS, an example of a suitable procedure using ArcGIS (Standard licence, Spatial Analyst and 3D Analyst extensions) is given (Appendix B). The methods given here should also work in other GIS software1. Appendix A is a diagram summarising the quality control workflow Appendix B provides a procedure for ArcMap which can be used to complete the QC checks Appendix C provides a sample template to record the QC process Summary of QC tests The quality control tests fall broadly into two categories: - Data quality o Reached required depth at seaward limit o Water removal o Gaps o No striping\/pocking o Removal of spikes e.g. flocks of birds, pylon cables o Polygon coverage o Structures included in DSM, excluded in DTM o Vertical accuracy o Flight lines (optional) o Point density (optional) o Profiles (optional) o Point density (optional) o Profiles (optional) - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1609", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1609", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1609", "url": "https:\/\/hdl.handle.net\/11329\/1609" }, "author": [ { "@type": "Person", "name": "Geijsels, Sarah" } ], "contributor": [ { "@type": "Organization", "name": "Channel Coastal Observatory, National Oceanography Centre" } ], "keywords": [ "LIDAR", "National Network of Regional Coastal Monitoring Programmes of England", "Acoustics", "laser altimeters", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1887.2", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: September 2019 to May 2021. Version 1.1.", "description": " - The East Australian Current (EAC) is a complex and highly energetic western boundary system in the south-western Pacific off eastern Australia. It provides both the western boundary of the South Pacific gyre and the linking element between the Pacific and Indian Ocean gyres. The EAC deepwater moorings consisted of an array of full-depth current meter and property (CTD) moorings from the continental slope to the abyssal waters off Brisbane (27S). This report details the quality control applied to the data collected from the EAC array (deployed from September, 2019 to May, 2021). The quality controlled datasets are publicly available via the AODN Data Portal. The data should be used in conjunction with this report. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1887.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1887.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1887.2", "url": "https:\/\/hdl.handle.net\/11329\/1887.2" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Biological oceanography", "Physical oceanography", "current profilers", "current meters", "salinity sensor", "water temperature sensor", "Data quality control", "Data acquisition", "Data processing", "Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/793", "name": "Performance Demonstration Statement Satlantic ISUS V3 Nitrate Sensor.", "description": " - In this Demonstration Statement, we present the performance results of the Satlantic ISUS V3 under diverse environmental conditions in surface mapping, depth profiling and moored deployment field tests. A total of three different field sites were used for testing, including estuary, open-ocean, and riverine environments. For the surface mapping deployment in Monterey Bay, the ISUS nitrate estimates closely tracked ambient nitrate concentrations (ISUS:Reference Sample = 1.04 \u00b10.2) over a two -order magnitude range and all expected data were reported. The ISUS successfully reported out nitrate concentrations at a 1 Hz sampling rate over two vertical p rofiling tests. Agreement with field reference sample concentrations was generally good, but a calibration offset was apparent from direct comparisons. The ISUS was successfully tested in a moored application at two of the three attempted test sites. A mechanical failure of the battery pack was encountered in the Michigan mooring test and no data were collected. All expected data were reported out from the other two mooring test sites in Chesapeake Bay, MD and Resurrection Bay, Alaska. In the Chesapeak e Bay test the ISUS in situ measurements showed good overall agreement with reference samples (R 2 = 0.8) but reported concentrations were positively biased at a ratio of around 2.1 times laboratory measured concentrations. In Resurrection Bay, AK the response of the ISUS was more variable, but within its specified accuracy of 2 \u03bcM, and had a similar overall positive bias of 2.3 times laboratory measured concentrations. During the last 10 days of the AK deployment the ratio of instrument:reference samples improved to a mean ratio of 1.4. Exposure to both nitrate and nitrite samples singularly and in mixtures shows that while the ISUS responds to the presence of nitrite in either pure solution or mixtures that the calibrated optical algorithms provided with the instrument produce accurate estimates of nitrate in mixed standard solutions at similar molar ratios, as well as, in ambient waters where nitrite is typically less than 10% of nitrate concentrations. We encourage readers to review the entire document for a comprehensive understanding of instrument performance and to discuss results with the instrument manufacturer. The application of any post-test corrections to the data and the manufacturer\u2019s interpretation of the test results are presented in Appendix 1. In general, the ISUS V3 demonstrated the capability to successfully measure in situ nitrate concentrations under a variety of field conditions and in multiple sampling applications. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/793", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/793", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/793", "url": "https:\/\/hdl.handle.net\/11329\/793" }, "author": [ { "@type": "Person", "name": "Carrol, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Cook, J." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Wells, D." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1906", "name": "Variational interpolation of high-frequency radar surface currents using DIVAnd.", "description": " - DIVAnd (Data-Interpolating Variational Analysis, in n-dimensions) is a tool to interpolate observations on a regular grid using the variational inverse method. We have extended DIVAnd to include additional dynamic constraints relevant to surface currents, including imposing a zero normal velocity at the coastline, imposing a low horizontal divergence of the surface currents, temporal coherence and simplified dynamics based on the Coriolis force, and the possibility of including a surface pressure gradient. The impact of these constraints is evaluated by cross-validation using the HF (high-frequency) radar surface current observations in the Ibiza Channel from the Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB). A small fraction of the radial current observations are set aside to validate the velocity reconstruction. The remaining radial currents from the two radar sites are combined to derive total surface currents using DIVAnd and then compared to the cross-validation dataset and to drifter observations. The benefit of the dynamic constraints is shown relative to a variational interpolation without these dynamical constraints. The best results were obtained using the Coriolis force and the surface pressure gradient as a constraint which are able to improve the reconstruction from the Open-boundary Modal Analysis, a quite commonly used method to interpolate HF radar observations, once multiple time instances are considered together. - , - Refereed - , - 14.a - , - Surface currents - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1906", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1906", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1906", "url": "https:\/\/hdl.handle.net\/11329\/1906" }, "author": [ { "@type": "Person", "name": "Barth, Alexander" }, { "@type": "Person", "name": "Troupin, Charles" }, { "@type": "Person", "name": "Reyes, Emma" }, { "@type": "Person", "name": "Alvera-Azcarate, Aida" }, { "@type": "Person", "name": "Beckers, Jean-Marie" }, { "@type": "Person", "name": "Tintore, Joaqu\u0131n" } ], "keywords": [ "HF radar", "Dynamic constraints", "Data-interpolating variational analysis", "Currents", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2283", "name": "Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network.", "description": " - Sustainable growth should not only be beneficial to the shipping industry in the future, but is also an urgent need to respond to resource and environmental crises and strengthen shipping governance. Maritime traffic in Arctic waters is prone to encounter dangerous ice conditions, and it is essential to study the mechanism of ice collision risk formation in relation to ice conditions. Taking the ship-ice collision risk in Arctic waters as the research object, we propose a dynamic assessment model of ship-ice collision risk under sea ice status dynamic association (SDA) effect. By constructing the standard paradigm of risk factor dynamic association (DA) effect, taking SDA as the key association factor. Combing with other risk factors that affect ship-ice collision accidents, the coupling relationship between risk factors were analyzed. Then, using the Bayesian network method to build a ship-ice collision accident dynamic risk assessment model and combing with the ice monitoring data in summer Arctic waters, we screen five ships' position information on the trans-Arctic route in August. The risk behavior of ship-ice collision accidents on the selected route under SDA is analyzed by model simulation. The research reveal that the degree of SDA is a key related factor for the serious ice condition and the possibility of human error during ship's navigation, which significantly affects the ship-ice collision risk. The traffic in Arctic waters requires extra vigilance of the SDA effect from no ice threat to ice threat, and continuous ice threat. According to the ship-ice collision risk analysis under the SDA effect and without SDA effect, the difference in risk reasoning results on the five stations of the selected route are 32.69%, -32.33%, -27.64%, -10.26%, and -30.13% respectively. The DA effect can optimize ship-ice collision risk inference problem in Arctic waters. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2283", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2283", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2283", "url": "https:\/\/hdl.handle.net\/11329\/2283" }, "author": [ { "@type": "Person", "name": "Li, Zhuang" }, { "@type": "Person", "name": "Hu, Shenping" }, { "@type": "Person", "name": "Gao, Guoping" }, { "@type": "Person", "name": "Xi, Yongtao" }, { "@type": "Person", "name": "Fu, Shanshan" }, { "@type": "Person", "name": "Yao, Chenyang" } ], "keywords": [ "Maritime traffic risk", "Ship-ice collision", "Bayesian network", "Sea Ice", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2560", "name": "SISP 4 - A metadata convention for processed acoustic data from active acoustic systems. Version 10.", "description": " - Metadata is data describing data, and should allow potential users to determine the fitness for their purposes of that data from the metadata alone, without having to access the actual data. A metadata convention is a systematic set of metadata attributes that have been developed to describe a particular genre or type of data. This document describes a metadata convention that details the attribute fields necessary to describe water column backscatter data obtained from active acoustic systems. This convention is not intended to conform to general metadata standards, such as FGDC, ISO:19115\/19139, etc., nor to describe a metadata profile consistent with such standards. Essentially it describes a set of attributes to be included with the acoustic data itself to make a fully self-documenting dataset. In addition to these, it also defines best practice for storing and managing fisheries acoustic data by providing a standard approach. That said, the metadata elements described here include all those necessary to populate any aggregated (or even global) metadata catalogue describing the available bioacoustic datasets managed in multiple institutional repositories. - , - Published - , - Was not actually a survey protocol - will be published to another guidelines series - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2560", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2560", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2560", "url": "https:\/\/hdl.handle.net\/11329\/2560" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fisheries acoustic data", "Fish", "acoustic backscatter sensors", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2496", "name": "ISO 8930:2021. General principles on reliability for structures \u2014 Vocabulary. Edition 2.", "description": " - This document establishes the common vocabulary of the principal terms used in the field of reliability of structures and design actions used within ISO TC98 documents on bases for design of structures. - , - Published - , - Refereed - , - Current - , - Sea state - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2496", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2496", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2496", "url": "https:\/\/hdl.handle.net\/11329\/2496" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Vocabulary", "Terminology", "Offshore structures", "Reliability", "Design service life", "Waves", "Metadata management", "Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1001", "name": "U.S. IOOS QARTOD Project Plan.", "description": " - As part of the US IOOS DMAC core services, the US IOOS Program Office will initiate a sustainable, community-based project to establish authoritative procedures for quality assurance (QA) and quality control (QC) of real-time ocean sensor data collected for US IOOS. This project will be based on the QARTOD (Quality Assurance of Real Time Ocean Data) effort, existing community-based QA\/QC efforts, and existing QA\/QC standards developed by Federal Agencies and the US IOOS Regional Coastal Ocean Observing Systems (RCOOS). This project will retain the name of QARTOD. All of the known QA\/QC programs in existence today provide parts to the solution, but none consolidates the various parts. This document outlines how QARTOD will be administered and funded. The result of this effort is to develop standards that can become formal IOOS data standards for data from the Regional Associations. - , - U.S. IOOS - , - Published - , - Superseded - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1001", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1001", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1001", "url": "https:\/\/hdl.handle.net\/11329\/1001" }, "contributor": [ { "@type": "Organization", "name": "IOOS" } ], "keywords": [ "QARTOD", "IOOS", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/916", "name": "Alliance for Coastal Technologies Workshop Proceedings: National Coastal Ecosystem Moorings Workshop. University of Washington 20-21 March 2018..", "description": " - The Alliance for Coastal Technologies (ACT, www.act-us.info) convened the \"National Coastal Ecosystem Moorings Workshop\" in Seattle, Washington at the University of Washington on 20 and 21 March 2018. The primary objectives of this workshop were to: 1) Provide a synthesis of stakeholder information requirements, 2) Explore current and emerging sensors to meet those requirements, 3) Provide a summary of technical needs inclusive of power and telemetry, 4) Provide a summary of deployment logistics, operation and maintenance, 5) Identify tiers\/options for ecosystem moorings configurations, dependent on the regions and costs, and to 6) Discuss integration (data management, communications, infrastructure) with other observing systems. The participants were from various sectors including research scientists, technology developers, industry providers, and technology users. - , - U.S. IOOS - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/916", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/916", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/916", "url": "https:\/\/hdl.handle.net\/11329\/916" }, "author": [ { "@type": "Person", "name": "McManus, Margaret" }, { "@type": "Person", "name": "Bailey, Kathleen" }, { "@type": "Person", "name": "Send, Uwe" }, { "@type": "Person", "name": "Burt, Richard" }, { "@type": "Person", "name": "Newton, Jan" }, { "@type": "Person", "name": "Schar, Daniel" }, { "@type": "Person", "name": "Morrison, Ru" }, { "@type": "Person", "name": "Doucette, Gregory" }, { "@type": "Person", "name": "Allee, Rebecca" }, { "@type": "Person", "name": "Berchok, Catherine" }, { "@type": "Person", "name": "Buschang, Steve" }, { "@type": "Person", "name": "Butler, Richard" }, { "@type": "Person", "name": "Canonico Hyde, Gabrielle" }, { "@type": "Person", "name": "Chavez, Francisco" }, { "@type": "Person", "name": "Colbert, Steve" }, { "@type": "Person", "name": "Crawford, Jim" }, { "@type": "Person", "name": "Danielson, Seth" }, { "@type": "Person", "name": "Dever, Edward Paul" }, { "@type": "Person", "name": "Dorton, Jennifer" }, { "@type": "Person", "name": "Esteves, Rene" }, { "@type": "Person", "name": "Green, Rebecca" }, { "@type": "Person", "name": "Grissom, Karen" }, { "@type": "Person", "name": "Hall, Candice" }, { "@type": "Person", "name": "Harvey, Chris" }, { "@type": "Person", "name": "Janzen, Carol" }, { "@type": "Person", "name": "McArthur, Shannon" }, { "@type": "Person", "name": "Melzian, Brian" }, { "@type": "Person", "name": "Mickett, John" }, { "@type": "Person", "name": "Mudge, Todd" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Netburn, Amanda" }, { "@type": "Person", "name": "Nosal, Eva-Marie" }, { "@type": "Person", "name": "O'Donnell, James" }, { "@type": "Person", "name": "Quintrell, Josie" }, { "@type": "Person", "name": "Ruberg, Steven" }, { "@type": "Person", "name": "Sabine, Christopher" }, { "@type": "Person", "name": "Tamburri, Mario" }, { "@type": "Person", "name": "Todd, James" }, { "@type": "Person", "name": "Verhamme, Ed" }, { "@type": "Person", "name": "Walsh, Ian" }, { "@type": "Person", "name": "Wilson, William Douglas" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies(ACT) and NOAA\/US Integrated Ocean Observing System (IOOS)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1982", "name": "Final recommendations on Best Practices and common Standards for RI business planning. (D5.4).", "description": " - This report proposes recommendations on business planning for RIs, and evaluation of busi-ness plans in view of RI roadmapping and funding. Targeted at RI managers and policy-makers, such as funding organisations, the recommenda-tions aim at ensuring the long-term sustainability of RIs by promoting business plans widely as a valuable management tool to ensure RI growth, and as an indispensable criterion in roadmap and funding processes. These recommendations are illustrated by good practices based on real cases, and supported by the findings from desk research, a consultation and field work (case studies and regional technical workshops), findings which are presented in more details in deliverables D5.2 \u2013 D5.3. Furthermore, the recommendations have been discussed and refined with the Reflection Group and other stakeholder\u2019s representatives during InRoad\u2019s Validation workshop. The recommendations from this report, as well as the analyses from the case studies and consultation, are presented in the InRoad final report1. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1982", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1982", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1982", "url": "https:\/\/hdl.handle.net\/11329\/1982" }, "author": [ { "@type": "Person", "name": "Vogel, Patricia" }, { "@type": "Person", "name": "Maessen, Kas" }, { "@type": "Person", "name": "de Andres Sanchis, Carme" }, { "@type": "Person", "name": "Thies, Annika" }, { "@type": "Person", "name": "Voievoda, Nataliia" }, { "@type": "Person", "name": "Lecocq, St\u00e9phanie" } ], "contributor": [ { "@type": "Organization", "name": "Swiss National Science Foundation for InRoad Project," } ], "keywords": [ "Research infrastructures", "Business planning", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/997", "name": "OGC\u00ae GeoPackage Encoding Standard - with Corrigendum, Version 1.2.175.", "description": " - This OGC\u00ae Encoding Standard defines GeoPackages for exchange and GeoPackage SQLite Extensions for direct use of vector geospatial features and \/ or tile matrix sets of earth images and raster maps at various scales. Direct use means the ability to access and update data in a \"native\" storage format without intermediate format translations in an environment (e.g. through an API) that guarantees data model and data set integrity and identical access and update results in response to identical requests from different client applications. GeoPackages are interoperable across all enterprise and personal computing environments, and are particularly useful on mobile devices like cell phones and tablets in communications environments with limited connectivity and bandwidth. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/997", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/997", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/997", "url": "https:\/\/hdl.handle.net\/11329\/997" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2575", "name": "User\u2019s Manual: NOC LOC Dual Carbonate Sensor. Version 1.", "description": " - The autonomous TADIC sensor is based on microfluidic Lab on a Chip technology and combines an optical and a conductivity detector in order to measure TA and DIC simultaneously. Its main target is ocean environments and it can be used on a number of different vehicles including AUVs, landers and buoys. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - \u202fInorganic Carbon - , - Pilot or Demonstrated - , - Multi-organisational - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2575", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2575", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2575", "url": "https:\/\/hdl.handle.net\/11329\/2575" }, "author": [ { "@type": "Person", "name": "Arundell, M." }, { "@type": "Person", "name": "Hanz, R." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Lab on a Chip (LOC)", "Carbonate sensor", "Dissolved inorganic carbon (DIC)", "Total Alkalinity (TA)", "Carbonate system", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1831", "name": "Inuit Priorities for Canada\u2019s Climate Strategy: A Canadian Inuit Vision for Our Common Future in Our Homelands.", "description": " - This report provides First Ministers and Canadian stakeholders with an overview of the diverse and growing needs Canadian Inuit face as we adapt to climate change in Inuit Nunangat, the Inuit homeland spanning four jurisdictions (the Inuvialuit Settlement Region in the Northwest Territories, Nunavut, Nunavik in Qu\u00e9bec, and Nunatsiavut in northern Labrador) that together encompass 50 percent of Canada\u2019s coastline and 35 percent of its landmass. It outlines our expectations for working in partnership with the Government of Canada to avoid a one size fits all approach to meeting the commitment Canada made in Paris, France in 2015 to transition to a low-carbon economy. This transition must be just and equitable for Inuit. Climate actions must be considered handin- glove with their links to troubling socio-economic inequities faced by Inuit. Not only are we experiencing the frontline impacts of climate change but we are also highly vulnerable to decisions that do not take into account the unique ways in which Inuit are affected by climate change. The social inequities Inuit face tend to be magnitudes larger than those faced by people in most other parts of Canada. These inequities contribute to the marginalization of too many Inuit households through limited access to education, employment, quality housing, and adequate and nutritious food.1 Poverty in turn weighs on mental well-being, limiting the ability of individuals to fully participate in society. The cost-of-living is very high in our communities and the provision of heating, electricity, and almost every other necessity is dependent on carbon-intensive activities. These factors, combined with the reality that the majority of our households are low-income, prevent many of our families from investing in activities such as education, quality foods, and childcare that most Canadians take for granted.2 Too many Inuit households find the expense of buying and maintaining the equipment needed to engage in the traditional harvesting activities that provide social, cultural, and economic sustenance to families beyond their reach. Loss and damage due to climate impacts can place an additional financial strain on households along with the challenge of staying safe in increasingly unpredictable conditions. The environment of risk that Inuit are born into is intensified by climate change. This report will outline how targeted actions taken in full partnership with Inuit can relieve these factors, and also describes the opportunity to address the inequities Inuit face while meeting Canada\u2019s commitment to transition to a low-carbon economy. Our long term expectations for climate action include the following goals: \u2022 Sustained resources for capacity-building and coordination that ensure Inuit are equal partners in long-term Federal, Provincial and Territorial (FPT) climate action planning. \u2022 Arctic climate policies that integrate Inuit knowledge and ensure the diverse climate solutions needed in the North also lead to measureable improvements in our standard of living until the standard of living enjoyed by Inuit is on par with that enjoyed by Canadians as a whole. - , - Published - , - Current - , - N\/A - , - National - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1831", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1831", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1831", "url": "https:\/\/hdl.handle.net\/11329\/1831" }, "contributor": [ { "@type": "Organization", "name": "Inuit Tapiriit Kanatami," } ], "keywords": [ "Inuit", "Climate change effects", "Indigenous communites", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1586", "name": "Turning the tide of parachute science.", "description": " - Parachute science is the practice whereby international scientists, typically from higher-income countries, conduct field studies in another country, typically of lower income, and then complete the research in their home country without any further effective communication and engagement with others from that nation. It creates dependency on external expertise, does not address local research needs, and hinders local research efforts. As global hotspots of marine biodiversity, lower-income nations in the tropics have for too long been the subject of inequitable and unfair research practices1. However, to date there has been little quantifiable evidence of this phenomenon in marine science. Here, we provide evidence through systematic literature searches and queries that parachute science practices are still widespread in marine research and make some recommendations to help change the current status quo. - , - Refereed - , - 4 - , - 5 - , - 8 - , - 10 - , - 14 - , - 16 - , - 17 - , - N\/A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1586", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1586", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1586", "url": "https:\/\/hdl.handle.net\/11329\/1586" }, "author": [ { "@type": "Person", "name": "Stefanoudis, Paris V." }, { "@type": "Person", "name": "Licuanan, Wilfredo Y." }, { "@type": "Person", "name": "Morrison, Tiffany, H." }, { "@type": "Person", "name": "Talma, Sheena" }, { "@type": "Person", "name": "Veitayaki, Joeli" }, { "@type": "Person", "name": "Woodall, Lucy C." } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/600", "name": "Ocean Systems Test and Evaluation Program Data Communications Plan.", "description": " - Programmatic requirements and data communi cation technology are changing very rapidly, making it difficult but necessary for CO-OPS to effectively plan for the future. The systems that are currently used for primary and secondary data communications include geostationary operational environmental satellites (GOES), tele phone lines, line-of-sight radios, and Internet protocol (IP) modems. Most of our current data communication needs are being met by GOES; however, larger data sets (such as those acqui red by the acoustic Doppler current profilers or ADCP), as well as more frequent transmissions, ha ve increased the need for a secondary satellite communications system. These operational demands , along with resource constraints, drive the data communications system requirements, which include: - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/600", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/600", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/600", "url": "https:\/\/hdl.handle.net\/11329\/600" }, "author": [ { "@type": "Person", "name": "Graff, Tammy" }, { "@type": "Person", "name": "Sprenke, James" }, { "@type": "Person", "name": "Bushnell, Mark" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Data Management Practices::Data transmission\/networking", "Data Management Practices::Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/931", "name": "A climatology\u2010based quality control procedure for profiling float oxygen data.", "description": " - Over 450 Argo profiling floats equipped with oxygen sensors have been deployed, but no quality control (QC) protocols have been adopted by the oceanographic community for use by Argo data centers. As a consequence, the growing float oxygen data set as a whole is not readily utilized for many types of biogeochemical studies. Here we present a simple procedure that can be used to correct first\u2010order errors (offset and drift) in profiling float oxygen data by comparing float data to a monthly climatology (World Ocean Atlas 2009). Float specific correction terms for the entire array were calculated. This QC procedure was evaluated by (1) comparing the climatology\u2010derived correction coefficients to those derived from discrete samples for 14 floats and (2) comparing correction coefficients for seven floats that had been calibrated twice prior to deployment (once in the factory and once in\u2010house), with the second calibration ostensibly more accurate than the first. The corrections presented here constrain most float oxygen measurements to better than 3% at the surface. - , - Refereed - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/931", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/931", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/931", "url": "https:\/\/hdl.handle.net\/11329\/931" }, "author": [ { "@type": "Person", "name": "Takeshita, Y." }, { "@type": "Person", "name": "Martz, T.R." }, { "@type": "Person", "name": "Johnson, K.S." }, { "@type": "Person", "name": "Plant, J.N." }, { "@type": "Person", "name": "Gilbert, D." }, { "@type": "Person", "name": "Riser, S.C." }, { "@type": "Person", "name": "Neill, C." }, { "@type": "Person", "name": "Tilbrook, B." } ], "keywords": [ "Sensors", "Argo floats", "Profiling floats", "Quality control", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2452", "name": "Advancing National Ocean Best Practices and Standards Workshop and Questionnaire Report.", "description": " - The NESP Marine Biodiversity Hub (2015-2021) delivered a project that developed and progressed the adoption of nine national standards for marine survey design and sampling (field-manuals-marine-sampling-monitor-australian-waters). The project was a success, with 136 individuals from 53 organisations contributing to what is colloquially known as the SOPs (standard operating procedures). The SOPs are now considered best practices, being adopted at State, Commonwealth, and international levels by a range of users, including industry and in developing nations. Without taking the next steps and establishing national and long-term governance and application guidance, the SOPs run the risk of becoming outdated and being no longer fit-for-purpose as related to national marine monitoring objectives for key values and pressures. The first step in the development of a future framework for national marine standards is to solicit input from the marine science community about their needs. As such, we coordinated a workshop and questionnaire to collect this information (Advancing National Ocean Best Practices and Standards). The aims of the online workshop and questionnaire were: \u25cf To improve the uptake and applicability of the national marine standard operating procedures (SOPs) and other best practices across diverse users; and \u25cf To guide further actions on the development of future SOPs and how they are used. The workshop had 46 attendees, while the questionnaire had 47 respondents, both predominantly represented by people from Australia. High-level barriers to uptake of the SOPs were related to funding, awareness, training, content, and institutional support. Workshop participants also identified operational barriers and potential solutions. Importantly, there was consensus to continue the SOP program in the long-term, including the possible inclusion of methods, guides, and practices outside of NESP. Feedback from workshop participants and questionnaire participants was summarised into the following broad recommendations: \u25cf Develop new SOPs, including those currently planned for NESP 2.2 (drop cameras, socioeconomic surveys, microplastics) as well as SOPs related to eDNA, drones, sub-bottom profiling, threatened and protected species, and underwater visual census \u25cf Develop revised SOPs to provide clearer or more specific data release guidelines, updated guidelines regarding Indigenous partnerships, engagement and Indigenous Cultural Intellectual Property, glossary or list of standardised terminology and case studies to highlight diversity of users and objectives. \u25cf Increase relevance to other user groups, particularly First Nations, by understanding the needs, preferences and capabilities of these groups and using this information to tailor existing SOPs or develop new ones as required. \u25cf Establish an oversight committee to develop and implement a national best practice endorsement process; identify the need for new and revised SOPs, facilitate accessibility and uptake of SOPs, and track uptake and impact. The input described in this report will be used in a 2024 implementation plan to guide the future of the SOP program. - , - NESP Marine and Coastal Hub - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2452", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2452", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2452", "url": "https:\/\/hdl.handle.net\/11329\/2452" }, "author": [ { "@type": "Person", "name": "Przeslawksi, Rachel" }, { "@type": "Person", "name": "Gibbons, Brooke" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Pini-Fitzsimmons, Joni" } ], "contributor": [ { "@type": "Organization", "name": "NSW Department of Primary Industries, Fisheries" } ], "keywords": [ "Standard Operating Procedures (SOP)", "Habitat", "Gravity, magnetics and bathymetry", "Fish", "Biota abundance, biomass and diversity", "Underwater photography", "benthos samplers", "multi-beam echosounders", "manual biota samplers", "sediment grabs", "underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1688", "name": "MEDIN data guideline for magnetometer \/ magnetic gradiometer data. Version 2.0.", "description": " - This guideline defines the format of data and information produced from the acquisition of magnetometer and magnetic gradiometer data. Used correctly, the guideline facilitates easy use and re-use of the data. An Excel template is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1688", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1688", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1688", "url": "https:\/\/hdl.handle.net\/11329\/1688" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Geology", "Magnetometers", "Magnetic Properties", "Geomagnetism", "Magnetic field anomaly of the Earth", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/686", "name": "Suspended particulate matter: Collection methods for gravimetric and trace metal analysis.", "description": " - Filtration is the most commonly used method for separating the dissolved and particulate fractions of seawater samples. A wide variety of filter types with different pore sizes has been used for this purpose. Filtration of water samples for trace metal analysis has generally been done using either Millipore 0.45~m cellulose acetate\/nitrate filter membranes, Nuclepore 0.4~m polycarbonate filter membranes, or similar filter membranes produced by other companies. Several studies have shown that the concentrations of suspended particulate matter (SPM) measured using different types of filters can vary significantly. For example, Tambiev and Demina (1982) have shown, using samples from the Baltic Sea, that 0.7~m cellulose nitrate filters can give a suspended particulate matter concentration that is five times that found with 0.4~m Nuclepore polycarbonate or 0.5~m Dubna polyethylene-terephthalate membranes. The metal blanks were also higher for the cellulose nitrate membranes. Likewise, Brzezinska-Paudyn et al (1985) observed that 0.45~m cellulose acetate and 0.45~m glass fibre filters gave significantly higher particulate matter concentrations than did 0.4~m Nuclepore filters. Danielsson (1982) found that 0.45~m Millipore membrane filters introduce large errors due to changing pore size during filtration. He also showed that the iron concentrations in the filtrates decreased with time and became nearly zero when the filters clogged. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/686", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/686", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/686", "url": "https:\/\/hdl.handle.net\/11329\/686" }, "author": [ { "@type": "Person", "name": "Yeats, P. A." }, { "@type": "Person", "name": "Br\u00fcgmann, L." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/452", "name": "Bio-Argo quality control manual for Chlorophyll-A concentration. Version 1.0, December 17th 2014.", "description": " - This document is the Bio-Argo quality control manual for Chlorophyll A concentration. It describes the method used in real-time to apply quality control flags to Chlorophyll A concentration calculated from specific sensors mounted on Argo profiling floats. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/452", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/452", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/452", "url": "https:\/\/hdl.handle.net\/11329\/452" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Argo floats", "Argo profiles", "Profiling floats", "Chlorophyll", "Biogeochemical data", "Parameter Discipline::Biological oceanography::Other biological measurements", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/456.2", "name": "Statistical Considerations for Monitoring and Sampling. [Version 3]", "description": " - A rigorous scientific process is essential to forming sound conclusions that can inform evidence-based decision-making. This process starts with defining a research question, assessing what level of information is needed and then critically assessing how that information should be obtained (see Table 2.1 and Hayes et al., 2019). Evidence can be obtained from a variety of sources, ranging from expert opinion, through ad-hoc data collection, then well-designed observational surveys, and finally to randomised controlled experiments. Well-designed experiments\/surveys that are targeted to the research question are often more expensive than other options, and in certain circumstances (e.g. an inability to randomly allocate sample units to treatment\/control groups), may be unavailable. The other sources of information, however, may be adequate depending on the research question and situation (see Leek and Peng, 2015). Table 2.1 for example provides a brief overview of a hierarchy of research questions and the types of data that are appropriate to answer them. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/456.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/456.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/456.2", "url": "https:\/\/hdl.handle.net\/11329\/456.2" }, "author": [ { "@type": "Person", "name": "Foster, S.D." }, { "@type": "Person", "name": "Monk, J." }, { "@type": "Person", "name": "Lawrence, E." }, { "@type": "Person", "name": "Hayes, K.R." }, { "@type": "Person", "name": "Hosack, G.R." }, { "@type": "Person", "name": "Langlois, T." }, { "@type": "Person", "name": "Hooper, G." }, { "@type": "Person", "name": "Przeslawski, R." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Survey design", "Spatio-temporal sampling", "Uncertainty", "Ecological survey", "Statsitical analysis", "Parameter Discipline::Cross-discipline", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/212", "name": "Black Sea data management guide.", "description": " - The material on the \"Black Sea Data Management Guide\" are prepared in accordance with the working plans of the IOC Committee on International Data and Information Exchange (IODE) and its regional component in the Black Sea region to assist specialists of the Black Sea countries in the field of Data Management. The Guide includes the following items: \u2022 national oceanographic data centres, designated national agencies, other marine centres and institutions of the Black Sea region countries dealing with problems of oceanographic data; \u2022 current international and national projects and programs of the Black Sea region countries; \u2022 preliminary catalogue marine observation in the Black Sea; \u2022 bibliography of publications of the marine centres and institute of the Black Sea region on problems of the Black Sea data and information published mainly during the past 5 years; \u2022 other information related to oceanographic data and information on the Black Sea. The compiler of the Guide is Alexander M. Suvorov, Deputy Director of the Marine Hydrophisical Institute of the Ukrainian National Academy of Sciences, national and regional (the Black Sea region) co-ordinator of the IOC IODE Committee, the editor-in-chief is Valery N. Eremeev, Director General of the Oceanological Centre of the Ukrainian National Academy of Sciences, the Chairman of the IOC UNESCO Black Sea Regional Committee, the Chairman of the Steering Committee of the Black Sea Global Observing Oceanographic System (BSGOOS). - , - Supported by IOC for UNESCO. - , - Published - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/212", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/212", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/212", "url": "https:\/\/hdl.handle.net\/11329\/212" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Marine sciences", "Data management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2198", "name": "Prediction of Dominant Ocean Parameters for Sustainable Marine Environment.", "description": " - Prediction of ocean parameters is the rising interest in ocean-related fields to perceive variations in climatic conditions. Most of the existing methods reveal that predictions involve a single parameter, namely Sea Surface Temperature (SST). This paper proposed a deep learning technique of Multi-Layer Perceptron (MLP) with Multi-Variant Convolutional (MVC) High Speed (HS) Long and short-Term Memory (HM-LSTM) model to predict the four essential parameters - temperature, pressure, salinity and density at three different Oceans -the Bay of Bengal, Arctic Ocean, and the Indian Ocean. The traditional method is limited to time sequence prediction without considering its spatial linkage. The horizontal and vertical parametric variations with spatial and temporal dependencies at 2000 m below the ocean is the observation considerations for the proposed prediction model. The ARGO provides the thermocline, pycnocline, and halocline layers data to perform the parameter prediction. Its results demonstrate the excellent overall accuracy, low Root Mean Square Error (RMSE), and low Mean Absolute Error (MAE) without any overfitting or underfitting compared to the current State-of-the-art. The forecasting of ocean weather helps conserve the ocean environment for human life in food security, developing the global economy, biomedical exploration, medicines, treatments, diagnostic analysis, and producing a significant passenger transport and tourism source. - , - Refereed - , - 14.a - , - Temperature - , - Pressure - , - Salinity - , - Density - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2198", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2198", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2198", "url": "https:\/\/hdl.handle.net\/11329\/2198" }, "author": [ { "@type": "Person", "name": "Menaka, D." }, { "@type": "Person", "name": "Gauni, Sabitha" } ], "keywords": [ "Ocean temperature", "Predictive models", "Deep Learning", "High-speed multilayer convolutional LSTM", "Sustainable marine environment", "Human activity", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1236", "name": "Quantifying pCO2 in biological ocean acidification experiments: a comparison of four methods.", "description": " - Quantifying the amount of carbon dioxide (CO2) in seawater is an essential component of ocean acidification research; however, equipment for measuring CO2 directly can be costly and involve complex, bulky apparatus. Consequently, other parameters of the carbonate system, such as pH and total alkalinity (AT), are often measured and used to calculate the partial pressure of CO2 (pCO2) in seawater, especially in biological CO2-manipulation studies, including large ecological experiments and those conducted at field sites. Here we compare four methods of pCO2 determination that have been used in biological ocean acidification experiments: 1) Versatile INstrument for the Determination of Total inorganic carbon and titration Alkalinity (VINDTA) measurement of dissolved inorganic carbon (CT) and AT, 2) spectrophotometric measurement of pHT and AT, 3) electrode measurement of pHNBS and AT, and 4) the direct measurement of CO2 using a portable CO2 equilibrator with a non-dispersive infrared (NDIR) gas analyser. In this study, we found these four methods can produce very similar pCO2 estimates, and the three methods often suited to field-based application (spectrophotometric pHT, electrode pHNBS and CO2 equilibrator) produced estimated measurement uncertainties of 3.5\u00b14.6% for pCO2. Importantly, we are not advocating the replacement of established methods to measure seawater carbonate chemistry, particularly for high-accuracy quantification of carbonate parameters in seawater such as open ocean chemistry, for real-time measures of ocean change, nor for the measurement of small changes in seawater pCO2. However, for biological CO2-manipulation experiments measuring differences of over 100 \u03bcatm pCO2 among treatments, we find the four methods described here can produce similar results with careful use. - , - Refereed - , - 14.3 - , - Inorganic carbon - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1236", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1236", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1236", "url": "https:\/\/hdl.handle.net\/11329\/1236" }, "author": [ { "@type": "Person", "name": "Watson, Sue-Ann" }, { "@type": "Person", "name": "Fabricius, Katharina E." }, { "@type": "Person", "name": "Munday, Philip L." } ], "keywords": [ "pCO2", "Intercomparison", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/203", "name": "Standard and reference materials for marine science. Revised edition, 1993.", "description": " - This is the third edition of the catalog of reference materials suited for use in marine science, originally compiled in 1986 for NOAA, IOC and UNEP. The catalog lists close to 2,000 reference materials from sixteen producers and contains information about their proper use, sources, availability, and analyte concentrations. Indices are included for elements, isotopes, and organic compounds, as are cross references to CAS registry numbers, alternate names, and chemical structures of selected organic compounds. This catalog is being published independently by both NOAA and IOC\/UNEP and is available from NOAA\/NOS\/ORCA in electronic form. - , - Supported by IOC for UNESCO. - , - Published - , - Reference materials - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/203", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/203", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/203", "url": "https:\/\/hdl.handle.net\/11329\/203" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine sciences", "Information services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1036", "name": "Flow Cytometry (FCM) data: format and examples of SeadataNet ODV data and CDI xml metadata files.", "description": " - This file is a general description of an ODV Flow Cytometery (FCM) File for SeaDataNet and the detailed description of ODV file Fields that can be used as well as an example of FCM dataset with the CDI metadata and the corresponding data in the ODV FCM format. This format enables NODC's to make FCM data accessible using SeaDataNet infrastructure and makes it possible for NODC\u2019s to use SeaDataNet to exchange FCM data. - , - Published - , - Current - , - Best Practice - , - Handbook - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1036", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1036", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1036", "url": "https:\/\/hdl.handle.net\/11329\/1036" }, "author": [ { "@type": "Person", "name": "Lahbib, Soumaya" }, { "@type": "Person", "name": "Claus, Simon" }, { "@type": "Person", "name": "Oset, Paula" }, { "@type": "Person", "name": "Fichaut, Michele" }, { "@type": "Person", "name": "Thyssen, M\u00e9lilotus" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::flow cytometers", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1665", "name": "Distance From Shore.", "description": " - Distance = Distance from shore in nautical miles. The CalCOFI database includes a calculated distance-from-shore value used primarily for vertical section plots published in the hydrographic data reports. CalCOFI line coastline intercepts, digitized from Google maps, are tabulated below; the latitudes and longitudes are the origins (zero starting point) for vertical section plots. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1665", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1665", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1665", "url": "https:\/\/hdl.handle.net\/11329\/1665" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Other physical oceanographic measurements", "Data processing", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1597", "name": "Protocolo del uso del CTD Sea-Bird y procesamiento de datos.", "description": " - This manual establishes the guidelines for manage the Sea Bird Electronics profiler (CTD SBE 19 PLUS), as well the procedures for the operation this oceanographic instrument and process the collected data in the oceanographic research cruises of the Southeastern Pacific Joint Regional (CPPS). It is a product of the CPPS- Specialized Database Working Group (GTE-BD) of regional cruises, within the framework of the El Ni\u00f1o Southern Oscillation (ENSO) program and with the participation of Chile, Colombia, Ecuador and Peru. - , - Comisi\u00f3n Permanente del Pac\u00edfico Sur (CPPS) - , - Published - , - El presente manual establece las pautas a seguir para el manejo del perfilador Sea Bird Electronics (CTD SBE 19 PLUS), as\u00ed como, normar los procedimientos para la operaci\u00f3n del equipo y procesamiento de datos recolectados en los cruceros regionales del Pac\u00edfico Sudeste. Constituye un producto del Grupo de Trabajo Especializado de Base de Datos (GTE-BD) de los cruceros regionales perteneciente a la Comisi\u00f3n Permanente del Pac\u00edfico Sur (CPPS), en el marco del programa para el Estudio Regional del Fen\u00f3meno El Ni\u00f1o (ERFEN), en el cual participaron instituciones de Chile, Colombia, Ecuador y Per\u00fa. - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Validated (tested by third parties) - , - Multi-organisational - , - N\/A - , - Sea surface salinity - , - Subsurface salinity - , - Sea surface temperature - , - Subsurface temperature - , - CTD profiler - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1597", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1597", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1597", "url": "https:\/\/hdl.handle.net\/11329\/1597" }, "contributor": [ { "@type": "Organization", "name": "Comisi\u00f3n Permanente del Pac\u00edfico Sur (CPPS)" } ], "keywords": [ "Physical oceanography", "CTD", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1487", "name": "Georeferencing Calculator Manual. Version 1.0.", "description": " - The Georeferencing Calculator (Wieczorek & Wieczorek 2020) described in this document is a tool created to aid in the georeferencing of descriptive localities such as those found in museum-based natural history collections. It was originally designed for the Mammal Networked Information System (MaNIS) and has been widely adopted in other large-scale collaborative georeferencing projects to supplement semi-automated georeferencing tools. The application makes calculations using the theory given in Georeferencing Best Practices (Chapman & Wieczorek 2020), derived from the earlier MaNIS\/HerpNET\/ORNIS Georeferencing Guidelines (Wieczorek 2001), and The pointradius method for georeferencing locality descriptions and calculating associated uncertainty (Wieczorek et al. 2004). Specific methods for calculating a wide variety of examples of the distinct locality types are given in Georeferencing Quick Reference Guide ([Bloom] Zermoglio et al. 2020). Underlined terms throughout this document (e.g. accuracy) link to definitions in the Glossary (the same glossary of terms used in Georeferencing Best Practices, while terms in italics (e.g. Input Latitude) refer to fields and\/or labels in the Calculator. Darwin Core terms are displayed in monospace (e.g. georeferenceRemarks) in all GBIF digital documentation and link to the definitions maintained by Biodiversity Information Standards (TDWG) in the approved List of Darwin Core terms. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1487", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1487", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1487", "url": "https:\/\/hdl.handle.net\/11329\/1487" }, "author": [ { "@type": "Person", "name": "Bloom, David A." }, { "@type": "Person", "name": "Wieczorek, John R." }, { "@type": "Person", "name": "Zermoglio, Paula F." } ], "contributor": [ { "@type": "Organization", "name": "GBIF Secretariat" } ], "keywords": [ "GBIF", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2375", "name": "Collection Standand Operating Procedures: Omics size fractionation. Version 1.00.", "description": " - The NEREA project aims to promote the development of new indicators for ocean health and new models of ocean microbiomes by coupling traditional physical, chemical, and biological measurements with omics approaches (i.e. metabarcoding, metagenomics, metatranscriptomics). The simultaneous DNA and RNA extraction and the production of metagenomics, metatracriptomics and metabarcoding datasets from filters of different size fraction (0. 2-3 \u00b5m, 3-20 \u00b5m and 20-200 \u00b5m), collected during samplings carried out at different sites in the Gulf of Naples (Mediterranean Sea, Italy), allow to determine the structure and function of the ocean microbiome. - , - Published - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2375", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2375", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2375", "url": "https:\/\/hdl.handle.net\/11329\/2375" }, "author": [ { "@type": "Person", "name": "Trano, Anna Chiara" } ], "contributor": [ { "@type": "Organization", "name": "Naples Ecological Research Augmented Observatory (NEREA)" } ], "keywords": [ "Omics", "Size fractionation", "NEREA", "Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/124", "name": "DBCP Quality Control Guidelines: written August 2000, updated 2009.", "description": " - GTS Buoys: quality control; guidelines - , - Quality control procedures, jointly developed and implemented by the DBCP, GTS Data Processing centres and the operators buoys, currently ensure that surface observations are validated in real-time before insertion on to the GTS (see DBCP Technical Document No. 2). Sub-surface (e.g., from the TAO array) data are further controlled by NOAA \/ NDBC. Several other bodies (ECMWF, national weather and oceanographic agencies, GDC, ISDM, etc.) contribute to an active off-line assessment of data quality. A well-defined (see Annex A) feedback mechanism ensures that any interventions arising from this off-line quality control (e.g., modifications to individual sensor transfer functions) are implemented into the real-time data processing chain in a coordinated and audit-able fashion. Some history of the mechanism is given below. - , - http:\/\/www.jcommops.org\/dbcp\/doc\/qc\/DBCP_QC_guidelines.pdf - , - OCG to address issue of getting a higher level of standard for ocean obs. System - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/124", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/124", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/124", "url": "https:\/\/hdl.handle.net\/11329\/124" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "GTS Buoy data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1863", "name": "Knowledge for a sustainable Arctic, 3rd Arctic Science Ministerial Report, 08\u201309 May 2021 | Tokyo, Japan.", "description": " - To strengthen international cooperation and respond to the severe threat of climate change and biodiversity loss in the Arctic, the Icelandic Ministry of Education, Science and Culture and the Japanese Ministry of Education, Culture, Sports, Science and Technology co-organized the 3rd Arctic Science Ministerial (ASM3) which was held in Tokyo on 08-09 May 2021. Delegates from 27 different countries and the European Commission, as well as representatives from Arctic Indigenous Peoples\u2019 Organizations, gathered in Tokyo and online to discuss developments in international research and commit to future cooperation. This meeting was built on the themes initiated by the first Arctic Science Ministerial hosted by the United States and held in Washington, D.C. in 2016, and the second Arctic Science Ministerial co-hosted by the European Commission, Finland and Germany and held in Berlin in 2018. Knowledge for a Sustainable Arctic was the overarching theme for ASM3 and included four sub-themes under the titles: Observe, Understand, Respond, Strengthen. These reflect elements of the previous ASM themes and reintroduce an emphasis on education which appeared in the first Ministerial. The Science Advisory Board was brought together under the guiding principles for ASM3: transparency, inclusivity, and implementing a bottom-up approach to science. The ASM3 Science process followed the structure of the previous Ministerials by soliciting theme-based project updates and new projects from participating countries, Indigenous Peoples\u2019 organizations, and international organizations engaged in Arctic science and education, while also attempting to create a more formal consultation process with the wider research community through other international fora and through the ASM3 Webinar Series. This report includes the foundational outcomes of the ASM3 Science Process including the Science Summary, Joint Statement of Ministers, Arctic Research Overviews from countries and organizations, a summary of the ASM3 Webinar Series, Moving Forward document highlighting opportunities to advance international cooperation, and an Appendix documenting the outcomes of the consultation process with the wider Arctic research community. Additionally, some online resources were developed including recordings of the webinar series, a list of International Opportunities and Resources, and a new Project Database mapping all of the ASM3 submitted projects. The intention of this wide-reaching science process was to have robust and inclusive science outcomes to provide a strong foundation for all the final outcomes of the ASM3. These outcomes create useful tools for cooperation, deepen our understanding of both the achievements and challenges that lay ahead, and provide a strong framework for taking urgent action - , - Published - , - Current - , - N\/A - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1863", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1863", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1863", "url": "https:\/\/hdl.handle.net\/11329\/1863" }, "contributor": [ { "@type": "Organization", "name": "Ministry of Education, Science and Culture" } ], "keywords": [ "Indigenous knowledge", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/899", "name": "CF-netCDF3 Data Model Extension standard. Version 3.1.", "description": " - The OGC netCDF encoding supports electronic encoding of geospatial data, that is, digital geospatial information representing space and time-varying phenomena. This standard specifies the CF-netCDF data model extension. This standard specifies the CF-netCDF data model mapping onto the ISO 19123 coverage schema. This standard deals with multi-dimensional gridded data and multi-dimensional multipoint data. In particular, this extension standard encoding profile is limited to multi-point, and regular and warped grids; however, irregular grids are important in the CF-netCDF community and work is underway to expand the CF-netCDF to encompass other coverages types, including irregular gridded datasets. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/899", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/899", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/899", "url": "https:\/\/hdl.handle.net\/11329\/899" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/719", "name": "Biological effects of contaminants: Corophium sp. sediment bioassay and toxicity test.", "description": " - The method described here is a whole-sediment reworker bioassay using burrowing amphipods. This method description covers the use of Corophium spp., as this is the genus most commonly used in Europe, but the procedure can be used with any infaunal amphipod. This method has been tested nationally in the UK as well as in ring tests under the Paris Commission. It is suitable for carrying out bioassays on field-collected sediments and also for toxicity testing. The bioassay endpoint is mortality. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/719", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/719", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/719", "url": "https:\/\/hdl.handle.net\/11329\/719" }, "author": [ { "@type": "Person", "name": "Roddie, B. D." }, { "@type": "Person", "name": "Thain, J. E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2173", "name": "IMOS Ship of Opportunity (SOOP) Expendable Bathythermograph (XBT) realtime data delivery.", "description": " - Document describes the delivery of eXpendable Bathythermograph (XBT) data in realtime to the Australian Ocean Data Network (AODN) and the GTS (global telecommunications system). - , - Published - , - Turo Quoll, Turo software, Iridium SBD (Short Burst Data) network - , - Current - , - 14.a - , - Subsurface temperature - , - Mature - , - Multi-organisational - , - Thermistor - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2173", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2173", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2173", "url": "https:\/\/hdl.handle.net\/11329\/2173" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "CSIRO\/IMOS" } ], "keywords": [ "Water column temperature and salinity", "Expendable Bathythermograph (XBT)", "Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1183", "name": "OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project.", "description": " - The Ocean Model Intercomparison Project(OMIP) is an endorsed project in the Coupled Model In-tercomparison Project Phase 6 (CMIP6). OMIP addressesCMIP6 science questions, investigating the origins and con-sequences of systematic model biases. It does so by provid-ing a framework for evaluating (including assessment of sys-tematic biases), understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate andearth system models contributing to CMIP6. Among theWCRP Grand Challenges in climate science (GCs), OMIPprimarily contributes to the regional sea level change andnear-term (climate\/decadal) prediction GCs.OMIP provides (a) an experimental protocol for globalocean\/sea-ice models run with a prescribed atmospheric forc-ing; and (b) a protocol for ocean diagnostics to be saved aspart of CMIP6. We focus here on the physical componentof OMIP, with a companion paper (Orr et al., 2016) detail-ing methods for the inert chemistry and interactive biogeo-chemistry. The physical portion of the OMIP experimentalprotocol follows the interannual Coordinated Ocean-ice Ref-erence Experiments (CORE-II). Since 2009, CORE-I (Nor-mal Year Forcing) and CORE-II (Interannual Forcing) havebecome the standard methods to evaluate global ocean\/sea-ice simulations and to examine mechanisms for forced oceanclimate variability. The OMIP diagnostic protocol is rele-vant for any ocean model component of CMIP6, includingthe DECK (Diagnostic, Evaluation and Characterization ofKlima experiments), historical simulations, FAFMIP (FluxAnomaly Forced MIP), C4MIP (Coupled Carbon Cycle Cli-mate MIP), DAMIP (Detection and Attribution MIP), DCPP(Decadal Climate Prediction Project), ScenarioMIP, High-ResMIP (High Resolution MIP), as well as the ocean\/sea-ice OMIP simulations. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1183", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1183", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1183", "url": "https:\/\/hdl.handle.net\/11329\/1183" }, "author": [ { "@type": "Person", "name": "Griffies, Stephen M." }, { "@type": "Person", "name": "Danabasoglu, Gokhan" }, { "@type": "Person", "name": "Durack, Paul J." }, { "@type": "Person", "name": "Adcroft, Alistair J." }, { "@type": "Person", "name": "Balaji, V." }, { "@type": "Person", "name": "B\u00f6ning, Claus W." }, { "@type": "Person", "name": "Chassignet, Eric P." }, { "@type": "Person", "name": "Curchitser, Enrique" }, { "@type": "Person", "name": "Deshayes, Julie" }, { "@type": "Person", "name": "Drange, Helge" }, { "@type": "Person", "name": "Fox-Kemper, Baylor" }, { "@type": "Person", "name": "Gleckler, Peter J." }, { "@type": "Person", "name": "Gregory, Jonathan M." }, { "@type": "Person", "name": "Haak, Helmuth" }, { "@type": "Person", "name": "Hallberg, Robert W." }, { "@type": "Person", "name": "Heimbach, Patrick" }, { "@type": "Person", "name": "Hewitt, Helene T." }, { "@type": "Person", "name": "Holland, David M." }, { "@type": "Person", "name": "Ilyina, Tatiana" }, { "@type": "Person", "name": "Jungclaus, Johann H." }, { "@type": "Person", "name": "Komuro, Yoshiki" }, { "@type": "Person", "name": "Krasting, John P." }, { "@type": "Person", "name": "Large, William G." }, { "@type": "Person", "name": "Marsland, Simon J." }, { "@type": "Person", "name": "Masina, Simona" }, { "@type": "Person", "name": "McDougall, Trevor J." }, { "@type": "Person", "name": "Nurser, A.J. George" }, { "@type": "Person", "name": "Orr, James C." }, { "@type": "Person", "name": "Pirani, Anna" }, { "@type": "Person", "name": "Qiao, Fangli" }, { "@type": "Person", "name": "Stouffer, Ronald J." }, { "@type": "Person", "name": "Taylor, Karl E." }, { "@type": "Person", "name": "Treguier, Anne Marie" }, { "@type": "Person", "name": "Tsujino, Hiroyuki" }, { "@type": "Person", "name": "Uotila, Petteri" }, { "@type": "Person", "name": "Valdivieso, Maria" }, { "@type": "Person", "name": "Wang, Qiang" }, { "@type": "Person", "name": "Winton, Michael" }, { "@type": "Person", "name": "Yeager, Stephen G." } ], "keywords": [ "Ocean Model Intercomparison Project (OMIP)", "Ocean\/sea-ice model", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/891", "name": "Towards wide-swath high-resolution mapping of total ocean surface current vectors from space: Airborne proof-of-concept and validation.", "description": " - Two-dimensional high-resolution maps of total surface current vectors obtained for the first time with an airborne demonstrator of the innovative Wavemill instrument concept are validated against HF radar data and compared with output from the POLCOMS high-resolution coastal ocean circulation model. Wavemill is a squinted along-track interferometric SAR system optimized for ocean surface current vector retrieval that operates at moderate incidence angles (\u223c30\u00b0) and is compatible with spaceborne implementation. This paper represents the first comprehensive validation of the current retrieval capabilities of squinted along-track SAR interferometry in support of its development as a future European Space Agency Earth Explorer mission. Wavemill airborne data were acquired in October 2011 in Liverpool Bay off the west coast of Great Britain in light southerly wind (5.5 m\/s) and maximum tidal ebbing flow (0.7 m\/s) conditions. Contributions to the measured SAR interferometric phase by surface gravity waves, known as the Wind-wave induced Artefact Surface Velocity (WASV), were removed using our best estimate of wind conditions and the (Mouche et al., 2012) empirical correction derived from Envisat ASAR. Validation of the 1.5 km resolution Wavemill current vectors against independent current measurements from HF radar gives very encouraging results, with Wavemill biases and precisions typically better than 0.05 m\/s and 0.1 m\/s for surface current speed, and better than 10\u00b0 and 7\u00b0 for current direction. The sensitivity of the current retrieval to the wind vector used to compute the WASV is estimated. A \u00b1 1 m\/s error (bias) in wind speed has minimal impact on the quality of the retrieved currents. In contrast, the choice of wind direction is critical: a bias of \u00b1 15\u00b0 in the direction of the wind vector degrades the accuracy of the airborne current speed against the HF radar by about \u00b1 0.2 m\/s. This highlights the need for future instruments to provide calibrated SAR Normalised Radar Cross Section data to support retrieval of wind and current vectors simultaneously. Comparisons of POLCOMS surface currents with HF radar data indicate that the model reproduces well the overall temporal evolution of the tidal current (correlation of spatial fields against HF radar over two tidal cycles of 0.9) but that the model features a systematic 1-h delay in the timing of the maximum ebbing flow in eastern parts of the domain near the Mersey Bar Light buoy. At the maximum ebb flow, the model underestimates the current speed (bias of \u22120.2m\/s) with respect to the HF radar and Wavemill data at the time of the flights. Both the HF radar and Wavemill data reflect much greater snapshot spatial variability of the ocean surface current field than is present in the model, resulting in poor correlation of instantaneous spatial fields (< 0.5) between POLCOMS and the HF radar data. The Wavemill data reveal high spatial variability of ocean surface currents at fine scales, which are not visible in the 4km resolution HF radar data. Wavemill detects several strong (1\u20131.5m\/s) localized current jets associated with deeper bathymetry channels in shallow waters (< 10 m) that are too narrow or too close to land to be observed by the HF radar. The study confirms the value of synoptic wide-swath maps of high-resolution ocean surface current vectors for coastal applications and to validate and develop high-resolution ocean circulation models. - , - Refereed - , - Surface currents - , - Pilot or Demonstrated - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/891", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/891", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/891", "url": "https:\/\/hdl.handle.net\/11329\/891" }, "author": [ { "@type": "Person", "name": "Martin, Adrien C.H." }, { "@type": "Person", "name": "Gommenginger, Christine" } ], "keywords": [ "Ocean surface current", "SAR", "Doppler", "Along-track interferometry", "Airborne bathymetry", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2468", "name": "OSPAR CEMP Guideline. Common indicator: Condition of benthic habitat communities (BH2) \u2013 common approach. OSPAR Agreement 2018-06. Updated 2022\/2023.", "description": " - These guidelines outline the monitoring and assessment requirements for the OSPAR common approach: \u201ccondition of benthic habitat communities (BH2)\u201d. More detailed technical specifications for this indicator are in Annex 1. As a conceptual \u201cumbrella\u201d (see below), it is recommended that, in the future, a set of guidelines (according to each habitat and pressure types to be assessed) should be developed for this common approach to operationalise it at its full potential (all MSFD\/OSPAR issues for benthic habitats) and update OSPAR CEMP to ensure coherence and comparability at (sub)-regional scale. Specific applications of the indicator to date are described in Annex 2 and Annex 3. These applications contributed to the OSPAR Intermediate Assessment (BH2-A and BH2-B). - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Mature - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2468", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2468", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2468", "url": "https:\/\/hdl.handle.net\/11329\/2468" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Benthic habitat monitoring", "Monitoring guidelines", "Macroalgae and seagrass", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1915.3", "name": "IODE Quality Management Framework for National Oceanographic Data Centres and Associate Data Units (3rd revised edition).", "description": " - The International Oceanographic Data and Information Exchange (IODE) Programme of the Intergovernmental Oceanographic Commission (IOC) of UNESCO2 maintains a global network of National Oceanographic Data Centres (NODC) and Associate Data Units (ADU) responsible for the collection, quality control, archive, and online publication of many millions of ocean and marine observations which are made available to Member States. In addition, it coordinates a network of marine information (library) managers. The IODE Committee has long held the view that there is a need for a quality management framework to ensure that NODCs and ADUs are established and operate according to defined principles, including adherence to agreed standards and the requirements of the IOC Data Policy and Terms of Use (2023). This will ensure NODCs and ADUs are able to provide data of known quality to meet the requirements of a broad community of users. The Twenty-second Session of the IODE Committee (IODE-XXII, 2013) adopted Recommendation IODE-XXII.18 to establish the IODE Quality Management Framework. The IODE Quality Management Framework (IODE-QMF) provides overall strategy, advice and guidance for NODCs and ADUs to design and implement quality management systems (QMS) for the successful delivery of ocean and marine data, products and services. The IODE encourages NODCs and ADUs to implement a QMS and to demonstrate they are in conformity with ISO 9001, the international standard for quality management. Formal ISO 9001 certification is not mandatory however NODCs\/ADUs must be able to demonstrate that an effective quality management system has been implemented. The main objectives of the IODE-QMF are: \u2022 Promote accreditation of NODCs and ADUs according to agreed criteria; \u2022 Provide assistance to NODCs and ADUs to establish organizational quality management systems; \u2022 Initiate and review existing standards and Manuals and Guides with respect to the inclusion of quality management procedures and practices; and \u2022 Provide regular feedback to the IODE Committee. This document outlines the IODE-QMF that will address the implementation of quality management systems to ensure NODCs and ADUs can demonstrate their capabilities to provide data and services in compliance with established standards and responsibilities that will lead to accreditation. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1915.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1915.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1915.3", "url": "https:\/\/hdl.handle.net\/11329\/1915.3" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Cross-discipline", "Data quality management", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1520", "name": "Learning features from georeferenced seafloor imagery with location guided autoencoders.", "description": " - Although modern machine learning has the potential to greatly speed up the interpretation of imagery, the varied nature of the seabed and limited availability of expert annotations form barriers to its widespread use in seafloor mapping applications. This motivates research into unsupervised methods that function without large databases of human annotations. This paper develops an unsupervised feature learning method for georeferenced seafloor visual imagery that considers patterns both within the footprint of a single image frame and broader scale spatial characteristics. Features within images are learnt using an autoencoder developed based on the AlexNet deep convolutional neural network. Features larger than each image frame are learnt using a novel loss function that regularises autoencoder training using the Kullback\u2013Leibler divergence function to loosely assume that images captured within a close distance of each other look more similar than those that are far away. The method is used to semantically interpret images taken by an autonomous underwater vehicle at the Southern Hydrates Ridge, an active gas hydrate field and site of a seafloor cabled observatory at a depth of 780\u2009m. The method's performance when applied to clustering and content\u2010based image retrieval is assessed against a ground truth consisting of more than 18,000 human annotations. The study shows that the location based loss function increases the rate of information retrieval by a factor of two for seafloor mapping applications. The effects of physics\u2010based colour correction and image rescaling are also investigated, showing that the improved consistency of spatial information achieved by rescaling is beneficial for recognising artificial objects such as cables and infrastructures, but is less effective for natural objects that have greater dimensional variability. - , - Refereed - , - 14.A - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1520", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1520", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1520", "url": "https:\/\/hdl.handle.net\/11329\/1520" }, "author": [ { "@type": "Person", "name": "Yamada, Takaki" }, { "@type": "Person", "name": "Prugel-Bennett, Adam" }, { "@type": "Person", "name": "Thornton, Blair" } ], "keywords": [ "Autoencoder", "Computer vision", "Underwater robotics", "Unsupervised learning", "Mapping", "Parameter Discipline::Marine geology", "Data Management Practices::Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2161", "name": "Refining instrument attachment on phocid seals.", "description": " - This document briefly presents information on the performance of three different, widely used, epoxies to determine whether any of them might cause burns in Weddell and southern elephant seals via exothermic chemical reactions when the glue cures under common fieldwork conditions in subantarctic and polar deployments; and reviews injury rates for 454 southern elephant seals and 54 Weddell seals (Leptonychotes weddellii) that have been resighted after instruments have been deployed. Animal Tracking is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). - , - This work compares the epoxy glue used to attached the tracking tags to the seals. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2161", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2161", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2161", "url": "https:\/\/hdl.handle.net\/11329\/2161" }, "author": [ { "@type": "Person", "name": "Field, Iain" }, { "@type": "Person", "name": "Harcourt, Robert" }, { "@type": "Person", "name": "Boehme, Lars" }, { "@type": "Person", "name": "Nico de Bruyn, P. J." }, { "@type": "Person", "name": "Charrassin, Jean-Benoit" }, { "@type": "Person", "name": "McMahon, Clive" }, { "@type": "Person", "name": "Bester, Marth\u00e1n" }, { "@type": "Person", "name": "Fedak, Mike" }, { "@type": "Person", "name": "Hindell, Mark" } ], "keywords": [ "Epoxy", "Biological oceanography", "Cross-discipline", "Tracking tags", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2124", "name": "Circumpolar Inuit Protocols for Equitable and Ethical Engagement.", "description": " - The Circumpolar Inuit Protocols for Equitable and Ethical Engagement was developed through two primary processes: 1. An ICC-developed synthesis1 report of Inuit-produced materials and voices that address existing rules, laws, values, guidelines and protocols for the engagement of Inuit communities and Indigenous Knowledge, and 2. A series of workshops convening Inuit Delegates that captured Inuit knowledge, perspectives, needs, priorities and guidance on future engagement processes.2 Additionally, this work has been informed through decades of Inuit input to governments, international fora, negotiations, and ICC-led workshops, meetings, discussions, conferences, and projects occurring across communities, regionally, nationally and internationally. Our people from across Inuit Nunaat have reviewed the protocols. They have been agreed upon by the ICC Executive Council and formally approved. The world community is increasingly responsive to and respectful of the rights of Indigenous Peoples. However, for decades the interest in and research regarding the Arctic \u201ccryosphere\u201d has emerged without a full understanding of Inuit Nunaat -- our traditional homelands and territory, which includes Inuit, our way of life and our knowledge. Yet, through our persistence and our work as an Indigenous Peoples\u2019 Organization, we are moving away from an approach that dismisses our Indigenous Knowledge and our way of living and closer to conditions that respect and recognize our distinct status, rights and role in the Arctic. The Circumpolar Inuit Protocols for Equitable and Ethical Engagement are intended by ICC as a pathway for others to understand this essential dynamic. Today we maintain that the \u201cintricate knowledge\u201d that our founder Eben Hopson invoked in 1977 is necessary for understanding the transformations that the Arctic region and indeed the world is facing. Knowledge and the co-production of knowledge consistent with Inuit perspectives, values, rights and protocols will result in a more genuine collective effort to create greater understanding about Inuit Nunaat, about the Arctic. Co-production of knowledge with Indigenous Peoples across the globe is gaining a foothold, bit by bit. Triggered to a substantial degree, by our input as well as our political and intellectual force, we are seeing evidence of this dynamic in various contexts ranging from the UN Framework Convention on Climate Change to the Intergovernmental Panel on Climate Change to the Agreement to Prevent Unregulated High Seas Fisheries in the Central Arctic Ocean to the Food and Agriculture Organization to the Arctic Council. This document should be accepted and seen by others as an invitation to consult and cooperate with Inuit by illustrating for researchers, decision-makers and others what is needed to genuinely be responsive to the urgent call for recognizing the interrelated, interdependent and indivisible rights of Inuit. The elements embraced in this publication can be employed by others in any facet of engagement with Inuit and the diverse subject matter that affects our day to day lives. We especially invite scientists, researchers, funders, and decision-makers to digest and ultimately implement these protocols with Inuit. Finally, we insist in a good way that overall results will produce a higher standard and quality of research beneficial for Inuit and all others. - , - Published - , - Current - , - 14.7 - , - Mature - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2124", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2124", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2124", "url": "https:\/\/hdl.handle.net\/11329\/2124" }, "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Indigenous knowledge", "Indigenous communities", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1799", "name": "Video demonstrating how to set-up, deploy and operate a Baited Remote Underwater Video System. [Training Video]", "description": " - Baited remote underwater stereo-video systems, or stereo-BRUVs, are minimally invasive sampling tools used to collect data on the diversity, abundance and size of fishes as well as information on the benthic habitat where the samples were collected. Benthic stereo-BRUVs are deployed on the seafloor while pelagic stereo-BRUVs are suspended in the water column and, depending on your equipment specifications, equipment can be used from the intertidal down into the deep sea. In this way, stereo-BRUVs provide a standardised and non-destructive method to collect data on fishes, and the environments where they occur, over their full depth distribution and at scales relevant to management. This training video covers the specifics of how to set up, deploy and operate stereo-BRUVs as well as how to follow post deployment protocols. - , - Western Indian Ocean Marine Science Association through the Marine and Coastal Science for Management - , - Published - , - Current - , - 14.a - , - Fish abundance and distribution - , - Subsurface temperature - , - Organisational - , - Species distributions - , - Effective population size - , - Species abundances - , - Community abundance - , - Ecosystem distribution - , - Marine habitats - , - Subsurface temperature - , - Cameras - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1799", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1799", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1799", "url": "https:\/\/hdl.handle.net\/11329\/1799" }, "author": [ { "@type": "Person", "name": "Bernard, Anthony" }, { "@type": "Person", "name": "Juby, Roxanne" }, { "@type": "Person", "name": "Haupt, Tanya" }, { "@type": "Person", "name": "von der Meden, Charles" }, { "@type": "Person", "name": "Snyders, Laurenne" }, { "@type": "Person", "name": "van der Heever, Grant" } ], "contributor": [ { "@type": "Organization", "name": "Octopi Africa (Pty) Ltd and Array Media (Pty) Ltd" } ], "keywords": [ "Training video", "Fisheries and aquaculture", "underwater cameras", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/116", "name": "Guide to marine meteorological services, 3rd edition.[ SUPERSEDED]", "description": " - The realization that specialized meteorological information and services are required to meet the often complex requirements of diverse marine user groups, prompted the former Commission for Marine Meteorology (CMM) to prepare a comprehensive Guide to Marine Meteorological Services, for the assistance of Members. The guide provides a complement to the Manual on Marine Meteorological Services (WMO-No. 558), which itself contains standard and recommended practices to be applied by Members in the provision of such services. The first edition of this Guide was published in 1977, and a second revised edition, in 1982. The eleventh session of CMM (Lisbon, April 1993) recognized that many technical and structural developments and advances had taken place in this field over the ensuing decade, not least the implementation of the Global Maritime Distress and Safety System (GMDSS), and that it was therefore time to undertake another thorough revision of the guide. A draft, fully revised, version of the guide was prepared by Mr D. Linforth (Australia), with additional input provided by members of the CMM Working Group on Marine Meteorological Services. This draft was then extensively reviewed by members of -a. number of working groups and subgroups of the Commission, before being presented to the twelfth session of CMM (Havana, March 1997) for adoption. Formal approval for the publication of this third edition was given by the forty-ninth session of the WMO Executive Council in June 1997. Subsequently, the advent in particular of the new Joint WMO\/IOC Technical Commission for Oceanography and Marine Meteorology (JCOMM), through a merger of CMM and the joint IOC\/WMO Committee for IGOSS, necessitated some small editorial revisions to the guide, which were carried out by the Secretariat. I am confident that this fully revised, third edition of the Guide to Marine Meteorological Services reflects the growth and breadth of the requirements of all marine user groups for such services, as well as the many advances in technology, process understanding, and analysis and forecast techniques in this field over the past two decades. I expect that it will continue to provide valuable assistance to Members in the further development of their national marine meteorological services. - , - Superseded - , - Within document it says: PLEASE NOTE THAT THIS PUBLICATION IS GOING TO BE UPDATED BY END OF 2010. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/116", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/116", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/116", "url": "https:\/\/hdl.handle.net\/11329\/116" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2017", "name": "Draft guidelines for sampling and determination of total alkalinity.", "description": " - Although not listed among HELCOM Core Indicators, total alkalinity should be monitored to provide information of alterations in the carbonate buffer system, which may be induced by changing weathering processes on the continents or internal processes in the Baltic Sea. Although alkalinity is not affected by increasing atmospheric CO2, it controls the pH at a given atmospheric CO2 level. Hence its long-term changes are interacting with ocean acidification induced by the dissolution of anthropogenic CO2. 1.2 Purpose and aims The aim of monitoring is to identify spatial variations and temporal trends in total alkalinity. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2017", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2017", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2017", "url": "https:\/\/hdl.handle.net\/11329\/2017" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/181", "name": "IGOSS Plan and Implementation Programme, 1996-2003.", "description": " - The Integrated Global Ocean Services System (IGOSS) is the global operational system for collection and exchange of oceanic data and the timely preparation and dissemination of oceanic products and services. IGOSS is an international programme for real-time exchange of ocean data and is planned, developed and co-ordinated jointly by the Intergovernmental Oceanographic Commission (IOC) of the United Nations Educational, Scientific and Cultural Organization UNESCO) and by the World Meteorological Organization (WMO). The system consists of national facilities and services provided by the participating Member States of IOC and Members of WMO to share ocean data for mutual benefit. The original concept of IGOSS was that of an Integrated Global Ocean Station System. This system was started in 1967 through the establishment by IOC of a permanent Working Committee for IGOSS and by WMO through the Executive Committee Panel on Meteorological Aspects of Ocean Affairs. Since that time, the objective of the system has shifted towards ocean services and the name changed to reflect this shift Co- operation between IOC and WMO for IGOSS has increased and led to the establishment of the Joint IOC-WMO Committee for IGOSS. A series of General Plans and Implementation Programmes for IGOSS have been developed over the years and the present Plan is for the period 1996 -2003.\u201d The main IOC and WMO resolutions relating to IGOSS are listed in Annex 1. - , - Published - , - IGOSS, Training, Assistance, encoding data, data exchange, buoy monitoring system - , - This document is available in English, French, Spanish and Russian versions - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/181", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/181", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/181", "url": "https:\/\/hdl.handle.net\/11329\/181" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Sea level", "Wave data", "Data acquisition", "Data converters", "Data transmission", "Buoys", "Data collections", "Data processing", "Sea level", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2013", "name": "Guidelines for sampling and determination of nitrite.", "description": " - Dissolved inorganic nitrogen is present in seawater both as nitrite, nitrate and ammonium. As a complement to the overall assessment of nutrient status, detailed information on the distribution of different species must be obtained. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic nitrogen\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/nitrogen-din. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2013", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2013", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2013", "url": "https:\/\/hdl.handle.net\/11329\/2013" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Dissolved Inorganic Nitrogen", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1766", "name": "Long-term intercomparison of two pCO2 instruments based on ship-of-opportunity measurements in a dynamic shelf sea environment.", "description": " - The partial pressure of carbon dioxide (pCO2) in surface seawater is an important biogeochemical variable because, together with the pCO2 in the atmosphere, it determines the direction of air\u2013sea carbon dioxide exchange. Large-scale observations of pCO2 are facilitated by Ships-of-Opportunity (SOOP-CO2) equipped with underway measuring instruments. The need for expanding the observation capacity and the challenges involving the sustainability and maintenance of traditional equilibrator systems led the community toward developing simpler and more autonomous systems. Here we performed a comparison between a membrane-based sensor and a showerhead equilibration sensor installed on two SOOP-CO2 between 2013 and 2018. We identified time- and space-adequate crossovers in the Skagerrak Strait, where the two ship routes often crossed. We found a mean total difference of 1.5 \u00b1 10.6 \u03bcatm and a root mean square error of 11 \u03bcatm. The pCO2 values recorded by the two instruments showed a strong linear correlation with a coefficient of 0.91 and a slope of 1.07 (\u00b1 0.14), despite the dynamic nature of the environment and the difficulty of comparing measurements from two different vessels. The membrane-based sensor was integrated with a FerryBox system on a ship with a high sampling frequency in the study area. We showed the strength of having a sensor-based network with a high spatial coverage that can be validated against conventional SOOP-CO2 methods. Proving the validity of membrane-based sensors in coastal and continental shelf seas and using the higher frequency measurements they provide can enable a thorough characterization of pCO2 variability in these dynamic environments - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1766", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1766", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1766", "url": "https:\/\/hdl.handle.net\/11329\/1766" }, "author": [ { "@type": "Person", "name": "Macovei, Vlad A." }, { "@type": "Person", "name": "Voynova, Yoana G." }, { "@type": "Person", "name": "Becker, Meike" }, { "@type": "Person", "name": "Triest, Jack" }, { "@type": "Person", "name": "Petersen, Wilhelm" } ], "keywords": [ "Ships of Opportunity", "Voluntary ships", "SOOP", "FerryBox", "Chemical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2202", "name": "The future of genomics in polar and alpine cyanobacteria.", "description": " - In recent years, genomic analyses have arisen as an exciting way of investigating the functional capacity and environmental adaptations of numerous micro-organisms of global relevance, including cyanobacteria. In the extreme cold of Arctic, Antarctic and alpine environments, cyanobacteria are of fundamental ecological importance as primary producers and ecosystem engineers. While their role in biogeochemical cycles is well appreciated, little is known about the genomic makeup of polar and alpine cyanobacteria. In this article, we present ways that genomic techniques might be used to further our understanding of cyanobacteria in cold environments in terms of their evolution and ecology. Existing examples from other environments (e.g. marine\/hot springs) are used to discuss how methods developed there might be used to investigate specific questions in the cryosphere. Phylogenomics, comparative genomics and population genomics are identified as methods for understanding the evolution and biogeography of polar and alpine cyanobacteria. Transcriptomics will allow us to investigate gene expression under extreme environmental conditions, and metagenomics can be used to complement tradition amplicon-based methods of community profiling. Finally, new techniques such as single cell genomics and metagenome assembled genomes will also help to expand our understanding of polar and alpine cyanobacteria that cannot readily be cultured. - , - Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2202", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2202", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2202", "url": "https:\/\/hdl.handle.net\/11329\/2202" }, "author": [ { "@type": "Person", "name": "Chrismas, Nathan A. M." }, { "@type": "Person", "name": "Anesio, Alexandre M." }, { "@type": "Person", "name": "Sanchez-Baracaldo, Patricia" } ], "keywords": [ "Cyanobacteria", "Genomics", "Bacteria and viruses" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/304", "name": "Guide for designing and implementing a plan to monitor toxin-producing microalgae. 2nd Edition.", "description": " - The first edition of this manual was first published in 2011 in Spanish. Pigmented phytoplankton is the main primary producer and constitutes the foundation of the marine food webs. Blooms, the explosive growth of phytoplankton, are natural phenomena that help to support the production of bivalves and small pelagic fish such as sardines and anchovies. Through photosynthesis, phytoplankton synthethizes organic material using solar energy, macronutrients \u2014 atmospheric CO2 and nitrates, phosphates and silicates dissolved in the water \u2014 and trace elements (e.g. trace metals and vitamins). In this way, phytoplankton growth acts like a \u201cbiological carbon pump\u201d that helps to offset the greenhouse effect. In addition, phytoplankton populations excrete dimethyl sulphide (DMS) into the atmosphere, a gas that contributes to the formation of nuclei of condensed water, thus generating clouds and counteracting excessive solar radiation. Not all of these blooms are beneficial, however. Harmful algal blooms (HABs) is a term adopted by the Intergovernmental Oceanographic Commission (IOC) of UNESCO; it is internationally accepted to refer to any proliferation of microalgae (regardless of the concentration) perceived as harmful owing to its negative impact on public health, aquaculture, the environment and\/or recreational activities. - , - Published - , - In Spanish and English. The first edition of this manual was first published in 2011 in Spanish. - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/304", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/304", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/304", "url": "https:\/\/hdl.handle.net\/11329\/304" }, "contributor": [ { "@type": "Organization", "name": "Unesco & IAEA" } ], "keywords": [ "HAB", "Harmful algal blooms", "Phytoplankton", "Parameter Discipline::Environment", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/846", "name": "Best Practices in Ecosystem-based Oceans Management in the Arctic.", "description": " - The aggregate effects of multiple uses of the oceans \u2013 fishing, transportation, petroleum development, waste disposal, etc. \u2013 call for an ecosystem-based approach to oceans management. The need for oceans management based on an ecosystem approach is now widely recognized by the international community, as reflected in calls for the application of the ecosystem approach by 2010 in the 2002 Johannesburg Plan of Implementation from WSSD1 as well as in recommendations from the UN General Assembly.2 In the Arctic context, the 2004 Arctic Marine Strategic Plan3 points to challenges and opportunities in this regard, and the working map of the 17 Arctic LMEs represents a basis for further work. The 2004 Arctic Marine Strategic Plan defines ecosystem-based management as an approach that \u201crequires that development activities be coordinated in a way that minimizes their impact on the environment and integrates thinking across environmental, socio-economic, political and sectoral realms.\u201d4 The employment of an ecosystem-based approach to oceans management is critical to the protection and sustainable use of marine ecosystems. However, the form and content of the ecosystem-based approach to oceans management is context dependent and vary from case to case. An important distinction is between the ecosystem-based approach to the management as applied to oceans in general on the one hand, and its use within one sector, as e.g. fisheries, on the other. The application of the ecosystem approach to oceans management of Arctic waters raises a number of issues with commonalities across the Arctic region: ice-covered waters, transboundary cooperation, fisheries management, exploitation of petroleum under severe climatic conditions, long-range transport of pollutants, indigenous communities, socio-economic growth and sustainability issues, and the impacts of climate change. Objectives Oceans management is carried out by governments, independently and in cooperation with other states. States and their practices in ecosystem-based oceans management ais therefore the basis for an analysis of the factors that contribute to sustainable use and conservation of Arctic marine ecosystems. The objective of the project is to present the concepts and practices the Arctic countries have developed for the application of an ecosystembased approach to oceans management. By way of reviewing how countries actually put to use such concepts and practices, lessons can be drawn on how to effectively do ecosystem-based oceans management. The project addresses both the use and conservation aspects of sustainable development. Two sets of questions here address the substance and process of putting ecosystem-based oceans management to work, respectively: which practices and approaches have proved useful in moving towards effective protection and sustainable use of the Arctic marine environment? What are the main obstacles, and what are the important success elements in moving towards ecosystem-based oceans management? The issue of practices and approaches in ecosystem-based oceans management is addressed on the basis of descriptions provided by the Arctic countries on how they are actually doing this. Among the elements considered are how countries define ecosystem-based oceans management, the types of objectives that are formulated, the choice of policy instruments and organization of the work, for example in terms of how stakeholders are consulted and the geographical context for ecosystem-based oceans management, including existing transboundary agreements relevant to the management of Arctic marine ecosystems. The question of obstacles and success elements is considered by asking the Arctic countries to describe their experiences in applying an ecosystem-based approach to oceans management. Important elements here include the process aspects of interagency cooperation and the organization of that, the organization and use of science, and stakeholder involvement, as well as the actual content of ecosystem-based oceans management, such as institutions for ecosystem-based oceans management, legislation and policy tools, geographical approaches, including LMEs, and biodiversity considerations. The main emphasis of the project is on the analytical aspects of these issues, so that actions can be based on lessons learnt and possible best practices identified. The project build on previous assessments and work under the Arctic Council, and will neither venture into new studies of the Arctic marine environment, nor address issues relating to jurisdictions and rights to resources. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/846", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/846", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/846", "url": "https:\/\/hdl.handle.net\/11329\/846" }, "contributor": [ { "@type": "Organization", "name": "Norsk Polarinstitutt" } ], "keywords": [ "Ecosystem impacts", "Ocean management", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1820", "name": "OOI Data Product specification for salinity. Version 1-02.", "description": " - This document describes the computation used to calculate the OOI Level 2 Salinity core data product, which is calculated using the TEOS-10 equations for practical salinity with data from the conductivity, temperature, and depth (CTD) family of instruments. This document is intended to be used by OOI programmers to construct appropriate processes to create the L2 Salinity product. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface salinity - , - Subsurface salinity - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1820", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1820", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1820", "url": "https:\/\/hdl.handle.net\/11329\/1820" }, "author": [ { "@type": "Person", "name": "Heilman, Lorraine" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership for Ocean Observatories Initiative" } ], "keywords": [ "Water column temperature and salinity", "salinity sensor" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1866", "name": "Recommendation on Aquaculture Values.", "description": " - In 2018, the EU-28 ranked 6th in the top 15 fisheries-producing countries in the world, with a total production of 6.6 million tonnes1. This position is mainly based on the catches of the commercial fishing sector, where the EU-28 has the same ranking, with a total of 5.3 million tonnes, which represented 5.48% of the global capture. Regarding aquaculture production, the EU-28 reported a total of 1.3 million tonnes, which represented 1.15% of the global aquaculture production2. The EU-28 imported 9.4 tonnes of fisheries and aquaculture products from third countries in 2018 and exported 2.2 million tonnes, reaching an apparent consumption of 12.5 million tonnes\/year, out of which 3.2 million tonnes came from aquaculture. The data for 2018 show that the EU-28 imported 2.1 million tonnes of aquaculture products and exported 0.21 million tonnes. These figures reveal that only 1.1 million tonnes of EU-28 aquaculture production are consumed by EU consumers, which represents 34.25% of the apparent consumption of aquaculture products. In the last 25 years, the volume of aquaculture production (live weight) increased globally at an average growth rate of 5.9% per year, while in the EU-28, the growth rate was a discrete 0.61% per year3. The causes of this modest growth were addressed several times in EU official documents, such as Strategic Guidelines for the sustainable development of EU aquaculture (2013), which was revised recently with a structured and consistent set of recommendations in Strategic guidelines for a more sustainable and competitive EU aquaculture for the period 2021 to 2030 (2021). Sustainable aquaculture has also been identified as an important contributor to facilitating the transition to a sustainable food system with a low environmental footprint and short supply chains. The recently published Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions on a new approach for a sustainable blue economy in the EU, Transforming the EU's Blue Economy for a Sustainable Future (2021)6 acknowledges that: \u201cEU aquaculture meets high standards in terms of product quality and animal health, but there is still margin for improvement in terms of diversification, competitiveness and environmental performance. Low-impact aquaculture (such as low-trophic, multi-trophic and organic aquaculture), and environmental services from aquaculture can, if further developed, greatly contribute to the European Green Deal, to the farm-to-fork strategy and to a sustainable blue economy.\u201d It is worth mentioning that aquaculture is extremely diverse in terms of species, environment requirements, technologies, specific infrastructure and location. In contrast to other animal husbandry branches, which are focused on only one species each, global aquaculture relies on 466 individual species and other 156 species groups at the genus, family or higher taxonomic level, including interspecific finfish hybrids. This complexity must be addressed more often when debates and statements linked to aquaculture are involved, either positively or negatively. It is also noteworthy that some of the values of aquaculture changed during the long history of the sector, others resisted or were confirmed by scientific research and new values are explored and debated. This recommendation does not intend to offer an exhaustive list of values associated with EU aquaculture, but rather reflects the engagement of aquaculture farmers and other groups from society concerning several issues related to aquaculture activity. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.2 - , - N\/A - , - Multi-organisational - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1866", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1866", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1866", "url": "https:\/\/hdl.handle.net\/11329\/1866" }, "contributor": [ { "@type": "Organization", "name": "Aquaculture Advisory Council (AAC)" } ], "keywords": [ "Aquaculture", "Economics", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1675", "name": "Reporting Decimal Line.Sta Numbers.", "description": " - Historically, when designing the original CalCOFI Line.Stations pattern, the transect lines were plotted perpendicular to the coastline with .0 decimal accuracy. Since reporting lines and stations with decimal accuracy was unnessary at the time, line and station numbers were rounded to whole numbers to save data column space. Computer cards had a limited number of character columns such as 128 columns in 1983 when the IEH ascii format was adopted. Data storage was also limited. With the addition of 9 SCCOOS stations in 2004, it became necessary to report the Line & Sta numbers with .0 decimal accuracy to resolve stations. For example, to resolve sta 93.3 26.7 from SCCOOS sta 93.4 26.4, we have to report the decimal line.sta numbers in all the data. Since SCCOOS station data have been integrated into the CalCOFI time series, decimal line & station numbering was applied to the entire time series, even before 2004. Lines & stations of older data on ERDDAP or other biological datasets may not be reported to .0. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1675", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1675", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1675", "url": "https:\/\/hdl.handle.net\/11329\/1675" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/993", "name": "Invasive Lionfish: a Guide to Control and Management.", "description": " - The countries of the Wider Caribbean with their vibrant coral reefs are major tourist destinations, bringing billions of dollars to the Caribbean annually. The importance of reef resources is invaluable to local economies and cultures. Invasive Alien Species (IAS) are considered one of the major threats to native species and habitats in the Caribbean. Recognizing the urgency of the lionfish invasion and the need to develop clear recommendations for local control, a special workshop was organized by an international team, including the International Coral Reef Initiative, REEF, NOAA, and SPAW-RAC, and it took place in August 2010 in Cancun, Mexico. With 47 participants representing over 25 organizations from 20 countries and territories of the Wider Caribbean, the ICRI Regional Lionfish Workshop identified many of the best strategies for addressing the lionfish invasion. The intent of this publication, Invasive Lionfish: A Guide to Control and Management, is to provide a reference for resource managers, policy makers, field workers, outreach coordinators, researchers, fishers, divers, and the general public \u2014 who are actively engaged in learning about lionfish and developing local control strategies. The strategies recommended herein are based upon best available science and practice, which in time will change as new approaches and the effectiveness levels of existing approaches emerge. Resource managers are encouraged to use the information in this guide to develop local management plans. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Fish abundance and distribution - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/993", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/993", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/993", "url": "https:\/\/hdl.handle.net\/11329\/993" }, "author": [ { "@type": "Person", "name": "Akins, J. Lad" }, { "@type": "Person", "name": "Buddo, Dayne St. A." }, { "@type": "Person", "name": "Green, Stephanie J." }, { "@type": "Person", "name": "Lozano, Ricardo G\u00f3mez" } ], "contributor": [ { "@type": "Organization", "name": "Gulf and Caribbean Fisheries Institute" } ], "keywords": [ "GCFI", "Lionfsh", "Invasive species", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1556", "name": "Glider-Based Estimates of Meso-Zooplankton Biomass Density: a Fisheries Case Study on Antarctic Krill (Euphausia superba) around the Northern Antarctic Peninsula.", "description": " - We compare estimates of krill density derived from gliders to those from contemporaneous and previous ship-based surveys. Our comparisons cover several temporal and spatial scales within two strata around the northern Antarctic Peninsula (off Cape Shirreff on the north side of Livingston Island and in the Bransfield Strait). Our objective is to explore the feasibility of using gliders to supplement or replace vessel-based surveys of fishery resources. We deployed two long-duration Slocum G3 gliders manufactured by Teledyne Webb Research (TWR), each equipped with a suite of oceanographic sensors and a three-frequency (38, 67.5, and 125 kHz, each single-beam) Acoustic Zooplankton Fish Profiler. We used the acoustic data collected by these gliders to estimate biomass densities (g\u22c5m\u20132) of Antarctic krill (Euphausia superba). The two gliders were, respectively, deployed for 82 and 88 days from mid-December 2018 through mid-March 2019. Off Cape Shirreff, glider-based densities estimated from two repeat small-scale surveys during mid-December and January were 110.6 and 55.7 g\u22c5m\u20132, respectively. In Bransfield Strait, the glider-based estimate of biomass density was 106.7 g\u22c5m\u20132 during December\u2013January. Contemporaneous ship-based estimates of biomass density, from a multi-ship broad-scale krill survey (Macaulay et al., 2019) restricted to the areas sampled by the gliders, were 84.6 g\u22c5m\u20132 off Cape Shirreff and 79.7 g\u22c5m\u20132 in Bransfield Strait during January. We compared two alternative krill-delineation algorithms (dB differencing and SHAPES); differences between biomass densities estimated by applying these algorithms were small and ranged between 4 and 7%. Alternative methods of sampling krill length-frequency distributions (LFDs) (nets or predator diets), which are required to convert acoustic energy to biomass density, also influenced the glider-based results. In Bransfield Strait, net-based estimates of biomass density were 6% less than those based on predator diets. Off Cape Shirreff the biomass density of krill estimated from a net-based LFD was 20% greater than that based on predator diets. Development of a variance estimator for glider-based biomass surveys is ongoing, but our results demonstrate that fisheries surveys using acoustically-equipped gliders are feasible, can provide density estimates to inform management, and may be conducted at lower cost than ship surveys in some cases. - , - Refereed - , - 14.A - , - Zooplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - , - 2020-09-08 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1556", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1556", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1556", "url": "https:\/\/hdl.handle.net\/11329\/1556" }, "author": [ { "@type": "Person", "name": "Reiss, Christian S." }, { "@type": "Person", "name": "Cossio, Anthony M." }, { "@type": "Person", "name": "Walsh, Jennifer" }, { "@type": "Person", "name": "Cutter, George R." }, { "@type": "Person", "name": "Watters, George M." } ], "keywords": [ "Gliders", "Antarctic krill", "Fisheries surveys", "Fisheries acoustics", "Zooplankton", "Acoustic Zooplankton Fish Profiler", "Backscatter data", "Parameter Discipline::Biological oceanography::Zooplankton", "Gliders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/954", "name": "Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP).", "description": " - The Ocean Model Intercomparison Project (OMIP) focuses on the physics and biogeochemistry of the ocean component of Earth system models participating in the sixth phase of the Coupled Model Intercomparison Project (CMIP6). OMIP aims to provide standard protocols and diagnostics for ocean models, while offering a forum to promote their common assessment and improvement. It also offers to compare solutions of the same ocean models when forced with reanalysis data (OMIP simulations) vs. when integrated within fully coupled Earth system models (CMIP6). Here we detail simulation protocols and diagnostics for OMIP's biogeochemical and inert chemical tracers. These passive-tracer simulations will be coupled to ocean circulation models, initialized with observational data or output from a model spin-up, and forced by repeating the 1948\u20132009 surface fluxes of heat, fresh water, and momentum. These so-called OMIP-BGC simulations include three inert chemical tracers (CFC-11, CFC-12, SF6) and biogeochemical tracers (e.g., dissolved inorganic carbon, carbon isotopes, alkalinity, nutrients, and oxygen). Modelers will use their preferred prognostic BGC model but should follow common guidelines for gas exchange and carbonate chemistry. Simulations include both natural and total carbon tracers. The required forced simulation (omip1) will be initialized with gridded observational climatologies. An optional forced simulation (omip1-spunup) will be initialized instead with BGC fields from a long model spin-up, preferably for 2000 years or more, and forced by repeating the same 62-year meteorological forcing. That optional run will also include abiotic tracers of total dissolved inorganic carbon and radiocarbon, CTabio and 14CTabio, to assess deep-ocean ventilation and distinguish the role of physics vs. biology. These simulations will be forced by observed atmospheric histories of the three inert gases and CO2 as well as carbon isotope ratios of CO2. OMIP-BGC simulation protocols are founded on those from previous phases of the Ocean Carbon-Cycle Model Intercomparison Project. They have been merged and updated to reflect improvements concerning gas exchange, carbonate chemistry, and new data for initial conditions and atmospheric gas histories. Code is provided to facilitate their implementation. - , - Refereed - , - Inorganic carbon - , - Stable carbon isotopes - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/954", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/954", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/954", "url": "https:\/\/hdl.handle.net\/11329\/954" }, "author": [ { "@type": "Person", "name": "Orr, J. C." }, { "@type": "Person", "name": "Najjar, R. G." }, { "@type": "Person", "name": "Aumont, O." }, { "@type": "Person", "name": "Bopp, L." }, { "@type": "Person", "name": "Bullister, J. L." }, { "@type": "Person", "name": "Danabasoglu, G." }, { "@type": "Person", "name": "Doney, S. C." }, { "@type": "Person", "name": "Dunne, J. P." }, { "@type": "Person", "name": "Dutay, J.-C." }, { "@type": "Person", "name": "Graven, H." }, { "@type": "Person", "name": "Griffies, S. M." }, { "@type": "Person", "name": "John, J. G." }, { "@type": "Person", "name": "Joos, F." }, { "@type": "Person", "name": "Levin, I." }, { "@type": "Person", "name": "Lindsay, K." }, { "@type": "Person", "name": "Matear, R. J." }, { "@type": "Person", "name": "McKinley, G. A." }, { "@type": "Person", "name": "Mouchet, A." }, { "@type": "Person", "name": "Oschlies, A." }, { "@type": "Person", "name": "Romanou, A." }, { "@type": "Person", "name": "Schlitzer, R." }, { "@type": "Person", "name": "Tagliabue, A." }, { "@type": "Person", "name": "Tanhua, T." }, { "@type": "Person", "name": "Yool, A." } ], "keywords": [ "Ocean model", "OMIP", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2518", "name": "ISO 21793:2020. Water quality \u2014 Determination of total organic carbon (TOC), dissolved organic carbon (DOC), total bound nitrogen (TNb), dissolved bound nitrogen (DNb), total bound phosphorus (TPb) and dissolved bound phosphorus (DPb) after wet chemical catalysed ozone hydroxyl radical oxidation (COHR). Edition 1.", "description": " - This document specifies a multi\u2011parameter method for the determination of total organic carbon (TOC), total nitrogen (TNb) and total phosphorus (TP) in drinking water, raw water, ground water, surface water, sea water, saline water, process water, domestic and industrial wastewater, after a chemical oxidation process. It is applicable to both dissolved and bound suspended materials. The method allows for determination of TOC, TN and TP. The lower and upper working ranges for these parameters are dependent upon instrument conditions (for example sample volume, reaction chemistry amounts) and can be adjusted for a wider range. Typical measurement ranges are shown in Figures C.1 to C.3. The analysis procedure is carried out instrumentally by a single oxidation process. Dissolved nitrogen gas is not included in the TNb measurement in this method. When present in the sample, elemental carbon, cyanate and thiocyanate will be included in the TOC result. - , - Published - , - Refereed - , - Current - , - 14.a - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2518", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2518", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2518", "url": "https:\/\/hdl.handle.net\/11329\/2518" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Carbon, nitrogen and phosphorus", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1213", "name": "Measuring Marine Plastic Debris from Space: Initial Assessment of Observation Requirements.", "description": " - Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debris. Remote sensing approaches are reviewed and matched to the optical properties of marine plastic debris and the relevant spatio-temporal scales of observation to identify challenges and opportunities in the field. Finally, steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements. - , - Refereed - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1213", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1213", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1213", "url": "https:\/\/hdl.handle.net\/11329\/1213" }, "author": [ { "@type": "Person", "name": "Mart\u00ednez-Vicente, V\u00edctor" }, { "@type": "Person", "name": "Clark, James R." }, { "@type": "Person", "name": "Corradi, Paolo" }, { "@type": "Person", "name": "Aliani, Stefano" }, { "@type": "Person", "name": "Arias, Manuel" }, { "@type": "Person", "name": "Bochow, Mathias" }, { "@type": "Person", "name": "Bonnery, Guillaume" }, { "@type": "Person", "name": "Cole, Matthew" }, { "@type": "Person", "name": "C\u00f3zar, Andr\u00e9s" }, { "@type": "Person", "name": "Donnelly, Rory" }, { "@type": "Person", "name": "Echevarr\u00eda, Fidel" }, { "@type": "Person", "name": "Galgani, Fran\u00e7ois" }, { "@type": "Person", "name": "Garaba, Shungudzemwoyo P." }, { "@type": "Person", "name": "Goddijn-Murphy, Lonneke" }, { "@type": "Person", "name": "Lebreton, Laurent" }, { "@type": "Person", "name": "Leslie, Heather A." }, { "@type": "Person", "name": "Lindeque, Penelope K." }, { "@type": "Person", "name": "Maximenko, Nikolai" }, { "@type": "Person", "name": "Martin-Lauzer, Fran\u00e7ois-R\u00e9gis" }, { "@type": "Person", "name": "Moller, Delwyn" }, { "@type": "Person", "name": "Murphy, Peter" }, { "@type": "Person", "name": "Palombi, Lorenzo" }, { "@type": "Person", "name": "Raimondi, Valentina" }, { "@type": "Person", "name": "Reisser, Julia" }, { "@type": "Person", "name": "Romero, Laia" }, { "@type": "Person", "name": "Simis, Stefan G.H." }, { "@type": "Person", "name": "Sterckx, Sindy" }, { "@type": "Person", "name": "Thompson, Richard C." }, { "@type": "Person", "name": "Topouzelis, Konstantinos N." }, { "@type": "Person", "name": "van Sebille, Erik" }, { "@type": "Person", "name": "Veiga, Joana Mira" }, { "@type": "Person", "name": "Vethaak, A. Dick" } ], "keywords": [ "Remote sensing", "Plastic debris", "Hyperspectral sensors;", "Multispectral imagers", "High spatial resolution", "Sensors synergy", "Submesoscale processes", "Parameter Discipline::Environment::Anthropogenic contamination", "Instrument Type Vocabulary::satellite tracking system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2242", "name": "A practical guide on safe hookah diving \u2013 Diving for sea cucumbers and other marine organisms.", "description": " - The gathering of commercial benthic organisms from the seabed by underwater fishers is a growing activity in many regions in Africa, Asia, Pacific, Latin America and the Caribbean. Sea cucumbers are particularly targeted, as they are in great demand and command high market prices in Asian markets. Fishing and trading of these holothurians have attracted the interest of many people, particularly trade intermediaries, who often employ local fishers with little or no underwater diving experience. Generally poorly equipped, the fishers are often forced to work long hours with no concerns over their state of physical health and psychophysical suitability for the strenuous and dangerous activity of diving. In many regions, sea cucumber fishers operate with compressed air supplied by hookah systems frequently powered by unsuitable or improvised compressors. Furthermore, because of the declining number of specimens in shallow waters in many fishing grounds, divers increasingly search for resources at greater depths and for prolonged periods, often unaware or ignoring dive decompression tables and other safe diving practices. Working under such poor conditions, often with inadequate support from the boat assistant, makes hookah diving a risky and unsafe activity. It may lead to accidents that may result in the death or permanent disability of fishers, who generally operate in locations far from medical facilities capable of providing hyperbaric treatment and first aid. This guide aims at providing fishers, as well as fishery extension officers, with a tool to acquire the basic knowledge needed to carry out hookah diving safely. Through simple language and numerous illustrations, the guide describes the basic rules of diving, the potential risks associated with this activity and what to do to minimize them, as well as other useful tips to improve hookah diving operations. The guide, however, is not intended as a comprehensive manual for commercial divers. Rather, it is strongly recommended that fishers who want to engage in hookah or SCUBA diving receive appropriate training by a qualified diving instructor. The guide is divided into two parts. The first part is intended for fishery extension officers to help them understand the risks of hookah and SCUBA diving and to provide them with information that should increase good practices for this type of fishing. The second part is intended for the fishers themselves; it outlines the risks associated with hookah diving and recommends practices that should help prevent any work-related accident associated with this diving practice. - , - Published - , - Refereed - , - Current - , - 14.b - , - Mature - , - Validated (tested by third parties) - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2242", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2242", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2242", "url": "https:\/\/hdl.handle.net\/11329\/2242" }, "author": [ { "@type": "Person", "name": "Buonfiglio, Giampaolo" }, { "@type": "Person", "name": "Lovatelli, Alessandro" } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Marine organisms", "Sea cucumber fisheries", "Diving hazards", "Diving accidents", "Accident prevention", "Diving equipment", "Training", "Guidelines", "Life safety", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/819", "name": "Performance Verification Statement for the Greenspan Technology Dissolved Oxygen Sensor DO300\/DO1200.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. To this end, the NOAA-funded Alliance for Coastal Technologies (ACT) serves as an unbiased, third party testbed for evaluating coastal sensors and sensor platforms for use in coastal environments. ACT also serves as a comprehensive data and information clearinghouse on coastal technologies and a forum for capacity building through workshops on specific technology topics (for more information visit www.act-us.info). This document summarizes the procedures used and results of an ACT Evaluation to verify manufacturer claims regarding the performance of the Greenspan Dissolved Oxygen Sensor. Detailed protocols, including QA\/QC methods, are described in the Protocols for the ACT Verification of In Situ Dissolved Oxygen Sensors (ACT TV04-01), which can be downloaded from the ACT website (www.actus.info\/tech_evalvations.php). Appendix 1. is an interpretation of the Performance Verification results from the manufacturer's point of view. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/819", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/819", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/819", "url": "https:\/\/hdl.handle.net\/11329\/819" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/942", "name": "Confocal Microscopy imaging for Opaline Silica Single Cell Skeletons (Polycystines Radiolaria).", "description": " - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/942", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/942", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/942", "url": "https:\/\/hdl.handle.net\/11329\/942" }, "author": [ { "@type": "Person", "name": "Sandin, Miguel Mendez" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/929", "name": "Design and Application of an Optical Sensor for Simultaneous Imaging of pH and Dissolved O2 with Low Cross-Talk.", "description": " - Visualization and quantification of analytes such as O2 or pH is essential in biological research. Here we present the design and application of a new optical dual-analyte sensor for imaging, optimized to have low cross-sensitivity between the two analytes O2 and pH. The used indicator and reference dyes were selected to match the different channels of a commercial 2CCD (RGB + NIR) camera. A red-light emitting O2-sensitive europium complex (Eu(HPhN)3dpp) with a dynamic range of 0\u201320% O2 in the finished sensor was combined with a near-infrared emitting pH indicator (OHButoxy-aza-BODIPY) with a dynamic range of pH 7.2\u20138.8. To enable ratiometric readout, an inert reference coumarin dye (Bu3Coum) was co-immobilized with the optical indicators. In order to maximize the sensor signal, inert diamond powder was added to one sensor layer as a simple way to increase scattering of light within the sensor. Furthermore, the addition of an optical isolation layer enabled measurements in highly fluorescent samples, such as algal biofilms. The sensor was tested in a marine photosynthetic microbial mat. - , - Refereed - , - Oxygen - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/929", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/929", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/929", "url": "https:\/\/hdl.handle.net\/11329\/929" }, "author": [ { "@type": "Person", "name": "Mo\u00dfhammer, Maria" }, { "@type": "Person", "name": "Strobl, Martin" }, { "@type": "Person", "name": "K\u00fchl, Michael" }, { "@type": "Person", "name": "Klimant, Ingo" }, { "@type": "Person", "name": "Borisov, Sergey M." }, { "@type": "Person", "name": "Koren, Klaus" } ], "keywords": [ "Biofilm", "Chemical imaging", "Dual-analyte sensor", "Microbial mat", "Sensor application", "pH", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1033", "name": "Quality Assurance of Real-Time Ocean Data: Evolving Infrastructure and Increasing Data Management to Monitor the World's Environment.", "description": " - At the OceanObs'09 Conference, there will be numerous papers and many discussions describing the intense effort by the international community to completely observe the world's oceans. New technologies, new techniques, better ocean vessels, improved sensors and faster data collection - all of these items will be used to observe in real-time, and understand, the ocean more than at any time in our history. Yet, with all the observations being collected, and all the new technology being developed - who, and better yet, how will these data be properly quality controlled, maintained, disseminated and archived? The next ten years will bring many challenges related to the distribution and description of real-time ocean data. One of the primary challenges facing the community will be the fast and accurate assessment of the quality of the data streaming in from new observing systems. Quality control and quality assurance of ocean observations must be a priority for data collectors and observation providers to ensure that the real-time users of the observations, as well as the climate community understand the value of the observation. This White Paper will describe how data managers can properly prepare for, and manage, the incoming wave of ocean observations that will arrive in the next few years. - , - Published - , - Refereed - , - Current - , - 14 - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1033", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1033", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1033", "url": "https:\/\/hdl.handle.net\/11329\/1033" }, "author": [ { "@type": "Person", "name": "Burnett, William" }, { "@type": "Person", "name": "Crout, Richard" }, { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Thomas, Julie" }, { "@type": "Person", "name": "Fredricks, Janet" }, { "@type": "Person", "name": "Bosch, Julie" }, { "@type": "Person", "name": "Waldmann, Christoph" } ], "contributor": [ { "@type": "Organization", "name": "European Space Agency" } ], "keywords": [ "Real-time", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/804", "name": "HPLC Chlorophyll Processing for the ACT Performance Verification of In Situ Fluorometers.", "description": " - The HPLC method used for chlorophyll a analysis followed that of Zapata et al (2000; MEPS 195:29-45) and was conducted by the laboratory of Dr. Welschmeyer at Moss Landing Marine Laboratories (MLML, the West Coast ACT Partner Institution). All pigment samples from Partner sites were collected quantitatively on Whatman 2.5 cm GF\/F filters, frozen in liquid N2 and shipped by overnight courier in liquid N2 dry shippers to MLML. Samples were removed from liquid N2, extracted overnight in quantitative volumes (1.8 \u2013 2.0 mL) of N2-purged 90% acetone (-20 oC) and ground with a motorized Teflon tissue grinder the following morning (the soak-and-grind method). Samples were kept on ice until loaded on HPLC autosamplers (three identical HPLC systems were used during this project). Replicate test samples supplied by Partner sites showed that extraction by the soak-and-grind method yielded as much as 25% more chl a than by routine acetone soaking alone. Prior to grinding, all samples and acetone blanks were spiked with quantitative additions of the internal standard, trans-\u03b2-Apo-8\u2032-carotenal (Fluka), which provided quantitative control for volumetric changes in extraction volumes resulting from pipeting imprecision and\/or evaporation. Approximately 40 samples were run per HPLC autosampler batch, with three authentic chl a standards evenly dispersed through the sample batch. Chl a standards were purified from spinach extracts for peak purity and quantified spectrophotometrically at 664 nm using an extinction coefficient of 87.67 L g-1 cm-1. HPLC solvent delivery in binary mode was made using a Varian 9012 pump under the following gradient protocol: 0 min, 100% A; 22 min 60% A, 40% B; 28 min, 5% A, 95% B; 38 min, 5% A, 95% B; 40 min, 100% A; where A solvent was methanol:acetonitrile: 0.25M aqueous pyridine (50:25:25 v:v:v) and solvent B was methanol:acetonitrile:acetone (20:60:20 v:v:v). Linear mixing was used between gradient steps at a constant flow of 1 mL min-1. Samples were injected with a robotic autosampler (Gilson 231XL, cooled to 10 oC) which was programmed to quantitatively dilute the sample extracts with Milli-Q water (1:2 v:v, Milli-Q:acetone extract) just prior to each injection, thus preventing peak-spreading on early-eluting polar compounds. Quantitative partial-loop injections (250 uL) were made onto a 500 uL sample loop. A 250 mm x 4.6 mm I.D., C-8 column (Varian Microsorb 5 um particle size, 100 angstrom pore size, solid-phase material), with corresponding 30 mm guard column and 0.5 um pore-size steel prefilter was used for compound separations. Absorbance and fluorescence data were collected with in-line detectors (Thermo Separation Products Spectra Focus VIS detector 440 nm and Kratos 950 filter fluorometer). Samples routinely yielded five peaks which were considered to make up the natural \u2018chl a\u2019 signal sensed by in situ fluorometry; specifically, parent chl a and four derivatives including chlorophyllide a, two chl a allomers and epimeric chl a\u2019. Divinyl chl a was not detected in any of the coastal samples analyzed during this project. All peak responses were summed to yield the \u2018total\u2019 chl a signal using Peak Simple data acquisition hardware\/software. Sample extracts were simultaneously analyzed by routine filter fluorometry (Welschmeyer 1994; L&O 39:1985-1992) as a complement and cross-check for quality control of HPLC samples. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/804", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/804", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/804", "url": "https:\/\/hdl.handle.net\/11329\/804" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2169", "name": "An integrative climate change vulnerability index for Arctic aviation and marine transportation.", "description": " - Climate change vulnerability research methods are often divergent, drawing from siloed biophysical risk approaches or social-contextual frameworks, lacking methods for integrative approaches. This substantial gap has been noted by scientists, policymakers and communities, inhibiting decision-makers' capacity to implement adaptation policies responsive to both physical risks and social sensitivities. Aiming to contribute to the growing literature on integrated vulnerability approaches, we conceptualize and translate new integrative theoretical insights of vulnerability research to a scalable quantitative method. Piloted through a climate change vulnerability index for aviation and marine sectors in the Canadian Arctic, this study demonstrates an avenue of applying vulnerability concepts to assess both biophysical and social components analyzing future changes with linked RCP climate projections. The iterative process we outline is transferable and adaptable across the circumpolar north, as well as other global regions and shows that transportation vulnerability varies across Inuit regions depending on modeled hazards and transportation infrastructures. - , - Refereed - , - Pilot or Demonstrated - , - precipitation - , - snow - , - temperature - , - permafrost - , - sea level - , - slope - , - elevation - , - soils - , - wind - , - water distance - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2169", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2169", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2169", "url": "https:\/\/hdl.handle.net\/11329\/2169" }, "author": [ { "@type": "Person", "name": "Debortoli, Nathan S" }, { "@type": "Person", "name": "Clark, Dylan G." }, { "@type": "Person", "name": "Ford, James D." }, { "@type": "Person", "name": "Sayles, Jesse S." }, { "@type": "Person", "name": "Diaconescu, Emilia P." } ], "keywords": [ "Environment", "Data visualization", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1784", "name": "Application Profile for Machine- Actionable Data Management Plans.", "description": " - This paper presents the application profile for machine-actionable data management plans that allows information from traditional data management plans to be expressed in a machine-actionable way. We describe the methodology and research conducted to define the application profile. We also discuss design decisions made during its development and present systems which have adopted it. The application profile was developed in an open and consensus-driven manner within the DMP Common Standards Working Group of the Research Data Alliance and is its official recommendation - , - Refereed - , - N\/A - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1784", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1784", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1784", "url": "https:\/\/hdl.handle.net\/11329\/1784" }, "author": [ { "@type": "Person", "name": "Miksa, T." }, { "@type": "Person", "name": "Walk, Paul" }, { "@type": "Person", "name": "Neish, Peter" }, { "@type": "Person", "name": "Oblasser, Simon" }, { "@type": "Person", "name": "HOLLAND, MURRAY" }, { "@type": "Person", "name": "Renner, Tom" }, { "@type": "Person", "name": "Jacquemot-Perbal, M-C." }, { "@type": "Person", "name": "Cardoso, Joao" }, { "@type": "Person", "name": "Kvamme, Trond" }, { "@type": "Person", "name": "Praetzellis, Maria" }, { "@type": "Person", "name": "Such\u00e1nek, Marek" }, { "@type": "Person", "name": "Hooft, Rob" }, { "@type": "Person", "name": "Faure, Benjamin" }, { "@type": "Person", "name": "Moa, Hanne" }, { "@type": "Person", "name": "Hasan, Adil" }, { "@type": "Person", "name": "Jones, Sarah" } ], "keywords": [ "Application profile", "maDMPs", "Data Management Plan", "Machine actionable", "RDA", "Administration and dimensions", "Metadata management", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/133", "name": "VOS Quick Reference Guide - Port Meteorological Officers. [Web document]", "description": " - PMO - , - The purpose of this \"Quick Reference Guide\" is to: Help newly appointed personnel become familiar with the functions of a PMO; Reacquaint experienced personnel with these functions; and Promote the resources available to fulfil these functions. Note: This guide is presented in point form and should be used in conjunction with the Quick Reference Guide for VOS Program Managers, as the separation of responsibilities and tasks expressed here might not be representative of all countries. The two guides when combined should cover the basic requirements of operating and maintaining a national VOS Program. Many of the functions of the PMO described in this guide are summarised in the VOS Work Flow Diagram. - , - http:\/\/www.bom.gov.au\/jcomm\/vos\/quick_reference_pmo.html - , - Latest webpage update 2017, previously 2015 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/133", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/133", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/133", "url": "https:\/\/hdl.handle.net\/11329\/133" }, "author": [ { "@type": "Person", "name": "JCOMM Ship Observations Team (SOT)" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM Ship Observations Team" } ], "keywords": [ "VOS", "Voluntary observing ships", "Ship observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2427", "name": "Science-policy interface for plastic pollution.", "description": " - The international legally binding instrument on plastic pollution serves as a crucial mechanism for navigating the intricacies of the global plastic pollution crisis and fostering the development of evidence-based policies to end plastic pollution. With the Intergovernmental Negotiating Committee mandated to develop the plastics instrument by the end of 2024, a unique opportunity arises to establish a strong science-policy interface for plastic pollution. Key principles guiding this endeavor encompass credibility, salience, and legitimacy, widely recognised as foundational to any science-policy interface. Other important related principles include integrity, crucial for preventing conflicts of interest, and inclusivity, ensuring diverse representation across regions, genders, and disciplines, and incorporating local, traditional, and Indigenous Knowledge systems. The development of a science-policy interface for plastic pollution encompasses three main components. 1. Internalising science-policy functions and associated governance structures within the plastics instrument, drawing from UNEA Resolution 5\/14. 2. Supporting and complementing the science-policy functions of the plastics instrument with those of the Science-Policy Panel on chemicals, waste, and pollution prevention, as specified in UNEA Resolution 5\/8. 3. Building complementarity with other sciencepolicy interfaces, especially those within multilateral environmental agreements, to reinforce certain aspects of the science-policy interface of plastic pollution. Ten key potential functions of the science-policy interface for plastic pollution, spanning across the four phases of the policy cycle \u2013 agenda setting, policy formulation, implementation, and evaluation \u2013 have been identified. The report advocates for a multi-faceted approach that enables seamless interlinking of the functions through cooperative arrangements and clear, established roles and responsibilities between the Science-Policy Panel and the plastics instrument. Based on the review of the functions, the report offers recommendations for developing governance arrangements across the four phases of the policy cycle, aiming to improve the sound management of chemicals and waste, and aid in preventing pollution. In the initial agenda setting phase, the focus is on proactive identification of potential threats. The Science- Policy Panel\u2019s horizon scanning function is instrumental in identifying emerging threats linked to novel entities, including new chemicals, polymers, or engineered plastic materials, or new forms of chemicals or engineered plastic materials, that have not been assessed and monitored for safety. Recognising emerging risk related to legacy plastics and existing and new technologies and practices will also be critical. The policy formulation phase requires extensive scientific and technical support. The development of various scientific criteria for control measures is envisaged, in particular to address the recognised global governance gap in the upstream activities. They could be operationalised by establishing a subsidiary body on chemical, polymer, and product safety under the plastics instrument. This body could potentially include committees, each with their specific mandates, including a review committee for assessing chemicals, polymers, and products of concern proposed for listing. It could also assess the sustainability and technical feasibility of alternatives and non-plastic substitutes, or this task could be delegated to a separate socio-economic committee. Lastly, a design committee dedicated to formulating and updating criteria for the sustainable and safe design of plastic products is needed. It could focus on product performance \u2013 including minimisation, recyclability, durability, reusability, and non-toxicity \u2013 and transparency aspects. The subsidiary body could also undertake other tasks, even to address functions in other policy phases, if deemed necessary. In this phase, broader assessments also play an important role. Iterative global assessments are needed to inform the status and trends of plastic pollution and their impacts on ecosystems, biota, and human health. This role could potentially be accredited to the Science-Policy Panel, due to its independent role and intergovernmental nature, enabling it to provide scientifically credible information and draw strong links across the three planetary crises of biodiversity loss, climate change, and pollution, with plastic pollution at the forefront. If the SPP does not lead these global assessments, the plastics instrument could take on a primary role in conducting them, possibly through a subsidiary scientific and technical body. Moreover, based on specific needs, thematic assessment can be developed by both bodies, depending on the type of information needed. The implementation phase marries science and feasibility. The development of policy support tools (e.g., methodologies and toolkits) is envisaged to predominantly occur under the plastics instrument. Their development could potentially be institutionalised under a subsidiary body or rely on working groups developed on a need\u2019s basis. Setting up a knowledge management mechanism or \u201cdata hub\u201d is crucial for effective data management and presentation. Options vary from developing a comprehensive data repository on all chemicals and forms of pollution, including plastic pollution, under the Science-Policy Panel, to a dedicated data hub for plastic pollution under the plastics instrument. The plastics instrument can also help to catalyse knowledge generation at all levels by empowering relevant bodies and initiatives, encouraging cooperation between them. The role of the Science-Policy Panel is important in identifying gaps and directing future research. In this context, moving towards interdisciplinary data and valuing of traditional, Indigenous Peoples\u2019, and local knowledge systems is crucial. The evaluation phase is data-centric, emphasising global monitoring of progress and evaluation of effectiveness of globally agreed goals and obligations, as well as individual response options. The plastics instrument will provide a framework for regular reporting, monitoring, and inventories supporting data collection and subsequent evaluation. Scientific and technical input is needed for crafting an indicator framework, standardising data collection methodologies, and formulating a reporting framework to evaluate performance. Institutional arrangements may include the development of a global monitoring plan and an effectiveness evaluation process overseen by regional coordination groups appointed by governments and supported by an open-ended scientific group. Beyond these stages, emphasis is on capacity building, as well as communication and outreach. Both functions underscore the involvement of developing countries, highlighting the importance of a global, inclusive approach in strengthening the science-policy interface. The Science-Policy Panel\u2019s role could be pronounced in enhancing foundational competencies of scientists through initiatives like fellowship programs, while the plastics instrument could aim to address capacity building needs in conjunction with relevant functions. Facilitating developing country representatives\u2019 involvement in overall work and meetings is important under both bodies. In conclusion, by outlining potential functions of the science-policy interface for plastic pollution and providing recommendations, the report will support the establishment of effective arrangements for the sciencepolicy interface within the global plastics instrument. Furthermore, it emphasises the need to enhance collaboration with the Science-Policy Panel, multilateral environmental agreements, and other relevant bodies, paving the way for a coherent and concerted effort needed to end plastic pollution. - , - Government of Norway - , - Published - , - Refereed - , - Current - , - 14.a - , - 14.1 - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2427", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2427", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2427", "url": "https:\/\/hdl.handle.net\/11329\/2427" }, "author": [ { "@type": "Person", "name": "Raubenheimer, Karen" }, { "@type": "Person", "name": "Urho, Niko" } ], "contributor": [ { "@type": "Organization", "name": "GRID-Arendal" } ], "keywords": [ "Plastic pollution", "Science policy interface", "Science communication" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/927", "name": "Air Oxygen Calibration of Oxygen Optodes on a Profiling Float Array.", "description": " - Aanderaa optode sensors for dissolved oxygen show remarkable stability when deployed on profiling floats, but these sensors suffer from poor calibration because of an apparent drift during storage (storage drift). It has been suggested that measurement of oxygen in air, during the period when a profiling float is on the surface, can be used to improve sensor calibration and to determine the magnitude of sensor drift while deployed in the ocean. The effect of air calibration on oxygen measurement quality with 47 profiling floats that were equipped with Aanderaa oxygen optode sensors is assessed. Recalibrated oxygen concentration measurements were compared to Winkler oxygen titrations that were made at the float deployment stations and to the World Ocean Atlas 2009 oxygen climatology. Recalibration of the sensor using air oxygen reduces the sensor error, defined as the difference from Winkler oxygen titrations in the mixed layer near the time of deployment, by about tenfold when compared to errors obtained with the factory calibration. The relative error of recalibrated sensors is <1% in surface waters. A total of 29 floats were deployed for time periods in excess of one year in ice-free waters. Linear changes in the percent of atmospheric oxygen reported by the sensor, relative to the oxygen partial pressure expected from the NCEP air pressure, range from \u22120.9% to +1.3% yr\u22121 with a mean of 0.2% \u00b1 0.5% yr\u22121. Given that storage drift for optode sensors is only negative, it is concluded that there is no evidence for sensor drift after they are deployed and that other processes are responsible for the linear changes. - , - Refereed - , - Oxygen - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/927", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/927", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/927", "url": "https:\/\/hdl.handle.net\/11329\/927" }, "author": [ { "@type": "Person", "name": "Johnson, Kenneth S." }, { "@type": "Person", "name": "Plant, Joshua N." }, { "@type": "Person", "name": "Riser, Stephen C." }, { "@type": "Person", "name": "Gilbert, Denis" } ], "keywords": [ "Dissolved oxygen", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1492", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: April 2012 to August, 2013. Version 2.1. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1562]", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from April, 2012 to August, 2013). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1492", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1492", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1492", "url": "https:\/\/hdl.handle.net\/11329\/1492" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/507", "name": "Technical Note: Animal-borne CTD-Satellite Relay Data Loggers for real-time oceanographic data collection.", "description": " - The increasing need for continuous monitoring of the world oceans has stimulated the development of a range of autonomous sampling platforms. One novel addition to these approaches is a small, relatively inexpensive data- relaying device that can be deployed on marine mammals to provide vertical oceanographic profiles throughout the up- per 2000 m of the water column. When an animal dives, the CTD-Satellite Relay Data Logger (CTD-SRDL) records ver- tical profiles of temperature, conductivity and pressure. Data are compressed once the animal returns to the surface where it is located by, and relays data to, the Argos satellite system. The technical challenges met in the design of the CTD-SRDL are the maximising of energy efficiency and minimising size, whilst simultaneously maintaining the reliability of an instru- ment that cannot be recovered and is required to survive its lifetime attached to a marine mammal. The CTD-SRDLs record temperature and salinity with an accuracy of better than 0.005 \u25e6 C and 0.02 respectively. However, due to the lim- ited availability of reference data, real-time data from remote places are often associated with slightly higher errors. The potential to collect large numbers of profiles cost-effectively makes data collection using CTD-SRDL technology partic- ularly beneficial in regions where traditional oceanographic measurements are scarce or even absent. Depending on the CTD-SRDL configuration, it is possible to sample and trans- mit hydrographic profiles on a daily basis, providing valuable and often unique information for a real-time ocean observing system. - , - Refereed - , - Subsurface temperature - , - Subsurface salinity - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/507", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/507", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/507", "url": "https:\/\/hdl.handle.net\/11329\/507" }, "author": [ { "@type": "Person", "name": "Boehme, L." }, { "@type": "Person", "name": "Lovell, P." }, { "@type": "Person", "name": "Biuw, M." }, { "@type": "Person", "name": "Roquet, F." }, { "@type": "Person", "name": "Nicholson, J." }, { "@type": "Person", "name": "Thorpe, S. E." }, { "@type": "Person", "name": "Meredith, M. P." }, { "@type": "Person", "name": "Fedak, M." } ], "keywords": [ "Animal borne sensors", "CTD-Satellite Relay Data Logger", "CTD-Satellite Relay Data Logger", "Animal borne sensors", "Marine mammals", "Argos satellite system", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1161", "name": "OGC Sensor Alert Service Candidate Implementation Specification. Version 0.9.", "description": " - This OpenGIS\u00a9 document specifies interfaces for requesting information describing the capabilities of a Sensor Alert Service, for determining the nature of offered alerts, the protocols used, and the options to subscribe to specific alert types. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1161", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1161", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1161", "url": "https:\/\/hdl.handle.net\/11329\/1161" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1835", "name": "Environmental Test Methods for Oceanographic Instruments Part 5: High Temperature Storage Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures and relevant information pertaining to high-temperature storage tests for marine instruments. This part is used to examine or determine the adaptability of marine instruments when stored under high-temperature environment conditions. - , - Published - , - Current - , - 14.a - , - N\/A - , - National - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1835", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1835", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1835", "url": "https:\/\/hdl.handle.net\/11329\/1835" }, "author": [ { "@type": "Person", "name": "Zhang, Yanfu" }, { "@type": "Person", "name": "Liu, Shidong" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" }, { "@type": "Person", "name": "Liu, Ning" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2564", "name": "ISO 9876:2015 Ships and marine technology \u2014 Marine facsimile receivers for meteorological charts. Edition 3. [Reviewed 2020]", "description": " - ISO 9876:2015 specifies the construction, performance, type testing, and inspection for a ship borne marine facsimile receiver that receives meteorological charts transmitted by \"Facsimile transmission of meteorological chart over radio circuits\" stated in accordance with World Meteorological Organization (WMO) publication No. 386, Part 111-5. ISO 9876:2015 applies to ship borne radio facsimile receivers for the reception of meteorological charts and other graphical representation of meteorological conditions intended as an aid to navigation at sea. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea state - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2564", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2564", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2564", "url": "https:\/\/hdl.handle.net\/11329\/2564" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Meterological charts", "Fax", "Shipboard facsimile transmisstion", "Radio transmission", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1060", "name": "OGC OpenSearch Extension for Earth Observation, Version 1.0.", "description": " - This document is the specification for the OpenSearch extension for Earth Observation collections and products search. This standard is intended to provide a very simple way to make queries to a repository that contains Earth Observation information and to allow syndication of repositories. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1060", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1060", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1060", "url": "https:\/\/hdl.handle.net\/11329\/1060" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1092", "name": "OGC Best Practice for Sensor Web Enablement: Provision of Observations through an PGC Sensor Observation Service (SOS). Version 1.0.", "description": " - The OGC Sensor Web Enablement (SWE) architecture (OGC, 2008c) defines a conceptual approach to build a Spatial Data Infrastructure (SDI) for sensor data. This architecture provides the conceptual foundation and standard framework of the work presented in this document. In addition to the OGC SWE architecture, the present recommendations and tools rely upon the architectural work that has been carried out in a series of European research projects and submitted to OGC as best-practices work follows: -- Reference Model of the ORCHESTRA Architecture (RM-OA) (OGC, 2007c), accepted as OGC best-practices paper in 2007, that instantiated and tailored the OGC Reference Model for the domain of environmental risk management following the ISO Reference Model for Open Distributed Processing (RM-ODP) (ISO\/IEC 10746-1:1998), and -- the Sensor Service Architecture (SensorSA) (OGC, 2009d), accepted as OGC discussion paper in 2009, that extended the RM-OA towards a sensor-based environment following the OGC SWE architecture. The EO2HEAVEN architectural work has continued this architectural specification line in its multi-part specification of a Spatial Information Infrastructure (SII) (EO2HEAVEN, 2011a) integrating both in-situ and space-borne EO sensors. The present document is an excerpt of the EO2HEAVEN SII focusing on the advanced SWE concepts (EO2HEAVEN, 2011b) for the provision of observation in SOS instances. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1092", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1092", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1092", "url": "https:\/\/hdl.handle.net\/11329\/1092" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Sensor Observation Service" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1963", "name": "Report on the use of Ferrybox data for validation purposes of satellite data. Deliverable D5.4, Revision 2.0.", "description": " - In this report we give detailed comparisons of FerryBox measurements with satellite data for 6 of the FerryBox systems and demonstrate the value of these data for satellite validation - , - European Union, European Commission - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1963", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1963", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1963", "url": "https:\/\/hdl.handle.net\/11329\/1963" }, "author": [ { "@type": "Person", "name": "Sorensen, Kai" }, { "@type": "Person", "name": "Colijn, Franciscus" } ], "contributor": [ { "@type": "Organization", "name": "GKSS Research Centre, Institute for Coastal Research for European FerryBox Project Consortium" } ], "keywords": [ "Voluntary ships", "Ships of Opportunity", "Ferries", "FerryBox", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2188", "name": "Understanding the structure and functioning of polar pelagic ecosystems to predict the impacts of change.", "description": " - The determinants of the structure, functioning and resilience of pelagic ecosystems across most of the polar regions are not well known. Improved understanding is essential for assessing the value of biodiversity and predicting the effects of change (including in biodiversity) on these ecosystems and the services they maintain. Here we focus on the trophic interactions that underpin ecosystem structure, developing comparative analyses of how polar pelagic food webs vary in relation to the environment. We highlight that there is not a singular, generic Arctic or Antarctic pelagic food web, and, although there are characteristic pathways of energy flow dominated by a small number of species, alternative routes are important for maintaining energy transfer and resilience. These more complex routes cannot, however, provide the same rate of energy flow to highest trophic-level species. Food-web structure may be similar in different regions, but the individual species that dominate mid-trophic levels vary across polar regions. The characteristics (traits) of these species are also different and these differences influence a range of food-web processes. Low functional redundancy at key trophic levels makes these ecosystems particularly sensitive to change. To develop models for projecting responses of polar ecosystems to future environmental change, we propose a conceptual framework that links the life histories of pelagic species and the structure of polar food webs. - , - Refereed - , - 14.2 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2188", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2188", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2188", "url": "https:\/\/hdl.handle.net\/11329\/2188" }, "author": [ { "@type": "Person", "name": "Murphy, E. J." }, { "@type": "Person", "name": "Cavanagh, R. D." }, { "@type": "Person", "name": "Drinkwater, K. F." }, { "@type": "Person", "name": "Grant, S. M." }, { "@type": "Person", "name": "Heymans, J. J." }, { "@type": "Person", "name": "Hofmann, E. E." }, { "@type": "Person", "name": "Hunt, G. L." }, { "@type": "Person", "name": "Johnston, N. M." } ], "keywords": [ "Marine ecosystems", "Trophic ecology", "Climate change effects", "Pelagic ecosystema", "Biodiversity", "Other biological measurements", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1400", "name": "Best Practices for Fisheries Management.", "description": " - There is currently a window of opportunity to influence the Common Fisheries Policy (CFP) in Europe, as the European Commission will initiate a reform process, beginning in April 2009 with the publication of a Green Paper. The reform will be carried out during the coming years and the revised CFP will be ready in 2012. There is substantial room for improvement to ensure long-term sustainability in fisheries management in the current CFP. Baltic Sea 20201 and Stockholm Resilience Centre2 have provided a team to analyse Best Practices in order to identify what measures apply in the European context and specifically the Baltic Sea. The team has been guided by two of the world\u2019s most renowned and experienced experts on fish and fisheries management, Mike Sissenwine and David Symes. Initially, the relevant scientific literature was reviewed, a scientific workshop hosted and a number of in depth interviews with key fisheries stakeholders (scientists, managers, the industry and NGOs) were conducted in order to identify problems with the Common Fisheries Policy as well as best practices in Europe and elsewhere. Based on the scientific exercise the team was recommended to focus on Norway, the US and Canada where extensive visits and dialogue with agencies, governments and stakeholders were carried out and documented. In addition scientific literature, national and international management publications have been reviewed. It needs to be pointed out that scientific literature is cited, but material from case studies will not be cited. In order to ensure a comprehensive approach and to address as many issues as possible \u2018best practices\u2019 has been defined according to three \u2018elements\u2019 necessary for fisheries management: A) Best practice in the provision of science, B) Best practice in decision making, and C) Best practice for securing compliance The results from the investigations were presented to European stakeholders to elaborate key recommendations on applying the identified \u2018Best practices\u2019 in a European and Baltic Sea context. In addition to the guidance provided by the workshop, issues highlighted in two recent gap analyses of the Common Fisheries Policy (see p.15) provide the problem analysis. When applying \u2018best practices\u2019 to the European context, the problems are defined as examples, which create incentives for sustainability. We recognize the historical and contextual nature of fisheries management and that best practice may therefore depend on ecological, economic and social conditions of the fishery or regional sea. The document is structured in four parts: \u2022 Background and problem description \u2022 Best practices? Key lessons from case studies \u2022 Applying the key characteristics of best practices in Europe \u2022 Management of the Baltic Sea. It is generally recognized that fisheries management involves a number of potentially conflicting objectives, regarding social, ecological and economic aspects of the fishery. Trade-offs between biological sustainability, economic efficiency and social equity are thus often necessary in the medium term. In order to achieve any long-term goal, there is a need for policy-makers to confront these intermediate trade-offs while being aware of the outcomes of different perspectives\/starting points. In this report we do not dwell on tradeoffs. Having investigated some of the most exemplary management systems in the world, it is obvious that there are solutions. Solutions, however, are demanding and they address tradeoffs by way of including all relevant stakeholders. We are attempting to indicate characteristics that are concrete and can contribute to real sustainability for fisheries.However, in order for sustainability to be lasting, transparency and trust have to bring stakeholders together and joint decisions have to be made. As the process of review and reform of the CFP is launched, the question is whether a courageous political vision of future fisheries management in the Baltic can be created and achieve an internationally respected marine policy. Or will the process again stumble over problems of path dependence (where earlier policy decisions exert a constraining influence on future decisions) or institutional inertia, both of which are quite marked in the CFP. - , - Published - , - Mike Sissenwine and David Symes, experts in fisheries and fisheries management, led the work. - , - Refereed - , - Current - , - 14.4 - , - Fish abundance and distribution - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1400", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1400", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1400", "url": "https:\/\/hdl.handle.net\/11329\/1400" }, "contributor": [ { "@type": "Organization", "name": "Baltic Sea 2020" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/571", "name": "Test and Evaluation Report For the Greenspan EC3000 Conductivity\/Temperature Sensor.", "description": " - The National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) maintains a suite of conductivity\/temperature (CT) sensors on a select number of its National Water Level Observation Network (NWLON) and Physical Oceanographic Real-Time (PORTS\u00ae) stations. The data from these sensors can be used to calculate water salinity and density, which are important tools for safe navigation, especially in the determination of ship draft. Most CT sensors used on CO-OPS stations are manufactured by Falmouth Scientific, Incorporated (FSI). In a continued effort to explore evolving technology and to expand the suite of instruments available for operational use in its observatories, CO-OPS selected the Greenspan EC3000 CT sensor for test and evaluation. Before an instrument can be approved for operation on a CO-OPS platform, it must first undergo testing by CO-OPS\u2019 Ocean Systems Test and Evaluation Program (OSTEP). OSTEP designed a series of laboratory and field tests to evaluate the performance of the Greenspan sensors under a variety of conditions. In one round of laboratory tests, both the FSI and Greenspan sensors were compared independently to a range of conductivity calibration standard solutions. In a second round of tests, the two sensors were tested concurrently in CO-OPS\u2019 seawater test bath facility. In the first of two field tests, a Greenspan CT sensor was deployed at the Money Point, Virginia NWLON station; data from the instrument were compared to the operational FSI CT sensor at that location. In the second field test, a Greenspan CT sensor was deployed on a NOAA Chesapeake Bay Interpretive Buoy System platform and compared to a Sea-Bird SBE-52 CT sensor. In laboratory tests with conductivity calibration standards, the Greenspan results were more closely aligned with the standard solutions than the FSI results. However, several laboratory test design details were not ideal for the FSI, including the likelihood that the test container was too small for the sensor. The Greenspan and FSI conductivity and temperature readings were within manufacturer specifications during the seawater bath tests, even though results revealed possible issues due to edge interference and tank stratification. Improvements to the laboratory facility, such as a higher quality reference CT sensor, have been recommended. During field tests, the Greenspan compared more favorably to the FSI in conductivity (-0.01 versus -0.2 mS\/cm) and more favorably to the Sea-Bird in temperature (-0.03 versus -0.4 \u00b0C). Some configuration problems were encountered with the Greenspan that delayed the test and evaluation schedule. However, representatives from Greenspan worked with OSTEP personnel to resolve these issues. As a result, the Greenspan CT sensor can now be integrated with a Sutron Xpert Data Collection Platform in an operational real-time CO-OPS observatory. Overall, Greenspan EC3000 data have compared very well with the data from the FSI and SeaBird. Based on test results reported here, the Greenspan EC3000 is recommended for use at operational CO-OPS observatories. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/571", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/571", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/571", "url": "https:\/\/hdl.handle.net\/11329\/571" }, "author": [ { "@type": "Person", "name": "Gray, G." }, { "@type": "Person", "name": "Heitsenrether, R." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1284", "name": "Open Data Protection: Study on legal barriers to open data sharing \u2013 Data Protection and PSI.", "description": " - This study analyses legal barriers to data sharing in the context of the Open Research Data Pilot, which the European Commission is running within its research framework programme Horizon2020. In the first part of the study, data protection issues are analysed. After a brief overview of the international basis for data protection, the European legal framework is described in detail. The main focus is thus on the Data Protection Directive (95\/46\/EC), which has been in force since 1995. Not only is the Data Protection Directive itself described, but also its implementation in selected EU Member States. Additionally, the upcoming General Data Protection Regulation (2016\/679\/EU) and relevant changes are described. Special focus is placed on leading data protection principles. Next, the study describes the use of research data in the Open Research Data Pilot and how data protection principles influence such use. The experiences of the European Commission in running the Open Research Data Pilot so far, as well as basic examples of repository use forms, are considered. The second part of the study analyses the extent to which legislation on public sector information (PSI) influences access to and re-use of research data. The Public Sector Information Directive (2003\/98\/EC) and the impact of its revision in 2013 (2013\/37\/EU) are described. There is a special focus on the application of PSI legislation to public libraries, including university and research libraries, and its practical implications. In the final part of the study the results are critically evaluated and core recommendations are made to improve the legal situation in relation to research data. - , - Published - , - Contributors: Nils Dietrich, Lucie Guibault, Olivia Salamanca, Krzysztof Siewicz, Gerald Spindler, Andreas Wiebe and Svetlana Yakovleva - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1284", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1284", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1284", "url": "https:\/\/hdl.handle.net\/11329\/1284" }, "contributor": [ { "@type": "Organization", "name": "Universit\u00e4tsverlag G\u00f6ttingen" } ], "keywords": [ "Data sharing", "Data protection", "Data Protection Directive", "Law", "Legislation", "European project", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1589", "name": "Assimilation of significant wave height from distributed ocean wave sensors.", "description": " - In-situ ocean wave observations are critical to improve model skill and validate remote sensing wave measurements. Historically, such observations are extremely sparse due to the large costs and complexity of traditional wave buoys and sensors. In this work, we present a recently deployed network of free-drifting satellite-connected surface weather buoys that provide long-dwell coverage of surface weather in the northern Pacific Ocean basin. To evaluate the leading-order improvements to model forecast skill using this distributed sensor network, we implement a widely-used data assimilation technique and compare forecast skill to the same model without data assimilation. Even with a basic assimilation strategy as used here, we find remarkable improvements to forecast accuracy from the incorporation of wave buoy observations, with a 27% reduction in root-mean-square error in significant waveheights overall. For an extreme event, where forecast accuracy is particularly relevant, we observe considerable improvements in both arrival time and magnitude of the swell on the order of 6\u00a0h and 1 m, respectively. Our results show that distributed ocean networks can meaningfully improve model skill, at extremely low cost. Refinements to the assimilation strategy are straightforward to achieve and will result in immediate further modelling gains. - , - Refereed - , - 14.a - , - Sea state - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1589", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1589", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1589", "url": "https:\/\/hdl.handle.net\/11329\/1589" }, "author": [ { "@type": "Person", "name": "Smit, P.B." }, { "@type": "Person", "name": "Houghton, I.A." }, { "@type": "Person", "name": "Jordanova, K." }, { "@type": "Person", "name": "Portwood, T." }, { "@type": "Person", "name": "Shapiro, E." }, { "@type": "Person", "name": "Clark, D." }, { "@type": "Person", "name": "Sosa, M." }, { "@type": "Person", "name": "Janssen, T.T." } ], "keywords": [ "Distributed sensor network", "Ocean waves", "Data assimilation", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/779", "name": "Use of, Satisfaction with, and Requirements for In-Situ Nutrient Sensors.", "description": " - This study was conducted for the Alliance for Coastal Technologies (ACT) to gather data about the use of in-situ nutrient sensors. The study entailed a telephone survey of professionals in the coastal resources field, such as biologists, researchers, and coastal managers, who are currently involved in measuring nutrients. For the survey, telephones were selected as the preferred sampling medium because of the universality of telephone ownership. The telephone survey questionnaire was developed cooperatively by Responsive Management and the ACT. Responsive Management conducted a pre-test of the questionnaire, and revisions were made to the questionnaire based on the pre-test. Interviews were conducted Monday through Friday from 9:00a.m. to 9:00p.m., Saturday noon to 5:00p.m., and Sunday from 3:00p.m. to 9:00p.m., all local time. The survey was conducted in August \u2013 September 2006. Responsive Management obtained a total of 56 completed interviews. The software used for data collection was Questionnaire Programming Language 4.1. The analysis of data was performed using Statistical Package for the Social Sciences software as well as proprietary software developed by Responsive Management - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/779", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/779", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/779", "url": "https:\/\/hdl.handle.net\/11329\/779" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1936", "name": "EMODnet Chemical: QC and QA basic guidelines. Version 1.2.", "description": " - These guidelines are based on a number of inputs to the EMODNET Chemical pilot project, which are acknowledged at the end of this document. It should be noted that to compare small amounts of chemical sample measurements in the same area, over time is a difficult exercise. The challenge of doing this for different instruments, with different techniques, from different institutes, over a much wider area is a challenge in order of magnitudes. This document is provided as a guideline only to demonstrate some of the basic principles that will need to be addressed in order to make the data in the EMODNET Portal as useful as possible. This is a living document and will develop over the period of the project, so please check back for updates on a regular basis. - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1936", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1936", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1936", "url": "https:\/\/hdl.handle.net\/11329\/1936" }, "author": [ { "@type": "Person", "name": "Holdsworth, Neil" } ], "contributor": [ { "@type": "Organization", "name": "EMODnet" } ], "keywords": [ "Chemical oceanography", "Data quality control", "Data quality management", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1340", "name": "Advancing Marine Biological Observations and Data Requirements of the Complementary Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) Frameworks.", "description": " - Measurements of the status and trends of key indicators for the ocean and marine life are required to inform policy and management in the context of growing human uses of marine resources, coastal development, and climate change. Two synergistic efforts identify specific priority variables for monitoring: Essential Ocean Variables (EOVs) through the Global Ocean Observing System (GOOS), and Essential Biodiversity Variables (EBVs) from the Group on Earth Observations Biodiversity Observation Network (GEO BON) (see Data Sheet 1 in Supplementary Materials for a glossary of acronyms). Both systems support reporting against internationally agreed conventions and treaties. GOOS, established under the auspices of the Intergovernmental Oceanographic Commission (IOC), plays a leading role in coordinating global monitoring of the ocean and in the definition of EOVs. GEO BON is a global biodiversity observation network that coordinates observations to enhance management of the world\u2019s biodiversity and promote both the awareness and accounting of ecosystem services. Convergence and agreement between these two efforts are required to streamline existing and new marine observation programs to advance scientific knowledge effectively and to support the sustainable use and management of ocean spaces and resources. In this context, the Marine Biodiversity Observation Network (MBON), a thematic component of GEO BON, is collaborating with GOOS, the Ocean Biogeographic Information System (OBIS), and the Integrated Marine Biosphere Research (IMBeR) project to ensure that EBVs and EOVs are complementary, representing alternative uses of a common set of scientific measurements. This work is informed by the Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM), an intergovernmental body of technical experts that helps international coordination on best practices for observing, data management and services, combined with capacity development expertise. Characterizing biodiversity and understanding its drivers will require incorporation of observations fromtraditional andmolecular taxonomy, animal tagging and tracking efforts, ocean biogeochemistry, and ocean observatory initiatives including the deep ocean and seafloor. The partnership between large-scale ocean observing and product distribution initiatives (MBON, OBIS, JCOMM, and GOOS) is an expedited, effective way to support international policy-level assessments (e.g., the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services or IPBES), along with the implementation of international development goals (e.g., the United Nations Sustainable Development Goals). - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-06-27 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1340", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1340", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1340", "url": "https:\/\/hdl.handle.net\/11329\/1340" }, "author": [ { "@type": "Person", "name": "Muller-Karger, Frank E." }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "Bax, Nicholas J." }, { "@type": "Person", "name": "Simmons, Samantha" }, { "@type": "Person", "name": "Costello, Mark J." }, { "@type": "Person", "name": "Pinto, Isabel Sousa" }, { "@type": "Person", "name": "Canonico, Gabrielle" }, { "@type": "Person", "name": "Turner, Woody" }, { "@type": "Person", "name": "Gill, Michael" }, { "@type": "Person", "name": "Montes, Enrique" }, { "@type": "Person", "name": "Best, Benjamin D." }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Halpin, Patrick" }, { "@type": "Person", "name": "Dunn, Daniel" }, { "@type": "Person", "name": "Benson, Abigail" }, { "@type": "Person", "name": "Martin, Corinne S." }, { "@type": "Person", "name": "Weatherdon, Lauren V." }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Provoost, Pieter" }, { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "Kelble, Christopher R." }, { "@type": "Person", "name": "Miller, Robert J." }, { "@type": "Person", "name": "Chavez, Francisco P." }, { "@type": "Person", "name": "Iken, Katrin" }, { "@type": "Person", "name": "Chiba, Sanae" }, { "@type": "Person", "name": "Obura, David" }, { "@type": "Person", "name": "Navarro, Laetitia M." }, { "@type": "Person", "name": "Pereira, Henrique M." }, { "@type": "Person", "name": "Allain, Valerie" }, { "@type": "Person", "name": "Batten, Sonia" }, { "@type": "Person", "name": "Benedetti-Checchi, Lisandro" }, { "@type": "Person", "name": "Duffy, J. Emmett" }, { "@type": "Person", "name": "Kudela, Raphael M." }, { "@type": "Person", "name": "Rebelo, Lisa-Maria" }, { "@type": "Person", "name": "Shin, Yunne" }, { "@type": "Person", "name": "Geller, Gary" } ], "keywords": [ "Essential ocean variables (EOV)", "Essential biodiversity variables (EBV)", "Marine Biodiversity Observation Network (MBON)", "Global ocean observing system(GOOS)", "Ocean biogeographic information system (OBIS)", "Marine global earth observatory (MarineGEO)", "Integrated marine biosphere research (IMBeR)", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2068", "name": "INTAROS Community-based Monitoring Experience Exchange Workshop Report, Fairbanks, Alaska, May 10, 2017.", "description": " - The workshop \u201cEngaging Community-based Monitoring in Decision-Making and Assessment\u201d was held May 10, 2017, in Fairbanks, Alaska. It offered an opportunity for practitioners of community-based monitoring (CBM) and observing programs to come together to exchange experiences and perspectives. Representatives from 10 CBM programs from Alaska and Canada were in attendance. Additional participants included researchers and government officials currently involved in CBM. The workshop was held at the University of Alaska Fairbanks International Arctic Research Center (IARC) as part of the Week of the Arctic activities that concluded the U.S. Arctic Council Chairmanship. Representatives from Arctic Council Working Groups, Alaska and US agencies, and the public were invited to a two-hour dialogue immediately following the workshop focusing on the use of CBM in decision-making and assessment. The workshop concluded that there are many excellent CBM programs in Alaska and beyond. They are actively documenting observations of a wide range of phenomena. While much progress has been made in this field, additional coordination and investment is needed. This can facilitate the ability of CBM programs to contribute relevant data and information in order to address the climate crisis that Alaska Native peoples are experiencing. Continued work and engagement is required to further develop responsive CBM programs in the Arctic. CBM programs are critical to support Alaska Native peoples in building a sustainable future that preserves culture and community. The proceedings describe the discussions at the workshop and dialogue and it outlines some of the good practices and needs that were identified. - , - The workshop was funded by the European Union-funded H2020 project Integrated Arctic Observing System (INTAROS; grant no. 727890) and organized by a host committee that included representatives of INTAROS, the International Arctic Research Center (IARC) at University of Alaska Fairbanks (UAF), Yukon River Inter-Tribal Watershed Council (YRITWC), and Exchange for Local Observations and Knowledge of the Arctic (ELOKA). - , - Published - , - Non Refereed - , - Current - , - 2.1 - , - 2.3 - , - 2.4 - , - 3.4 - , - 14.2 - , - 14.4 - , - 15.1 - , - 15.2 - , - 15.4 - , - 15.5 - , - 15.7 - , - 15.9 - , - 16.6 - , - 16.7 - , - 16.10 - , - 17.16 - , - 17.17 - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2068", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2068", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2068", "url": "https:\/\/hdl.handle.net\/11329\/2068" }, "author": [ { "@type": "Person", "name": "Fidel, Maryann" }, { "@type": "Person", "name": "Johnson, Noor" }, { "@type": "Person", "name": "Danielsen, Finn" }, { "@type": "Person", "name": "Eicken, Hajo" }, { "@type": "Person", "name": "Iversen, Lisbeth" }, { "@type": "Person", "name": "Lee, Olivia" }, { "@type": "Person", "name": "Strawhacker, Colleen" } ], "contributor": [ { "@type": "Organization", "name": "Yukon River Inter-Tribal Watershed Council (YRITWC), University of Alaska Fairbanks, ELOKA, and INTAROS (Integrated Arctic Observing System)" } ], "keywords": [ "Environment", "Fisheries", "Terrestrial" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1217", "name": "Global in situ Observations of Essential Climate and Ocean Variables at the Air\u2013Sea Interface.", "description": " - The air\u2013sea interface is a key gateway in the Earth system. It is where the atmosphere sets the ocean in motion, climate\/weather-relevant air\u2013sea processes occur, and pollutants (i.e., plastic, anthropogenic carbon dioxide, radioactive\/chemical waste) enter the sea. Hence, accurate estimates and forecasts of physical and biogeochemical processes at this interface are critical for sustainable blue economy planning, growth, and disaster mitigation. Such estimates and forecasts rely on accurate and integrated in situ and satellite surface observations. High-impact uses of ocean surface observations of essential ocean\/climate variables (EOVs\/ECVs) include (1) assimilation into\/validation of weather, ocean, and climate forecast models to improve their skill, impact, and value; (2) ocean physics studies (i.e., heat, momentum, freshwater, and biogeochemical air\u2013sea fluxes) to further our understanding and parameterization of air\u2013sea processes; and (3) calibration and validation of satellite ocean products (i.e., currents, temperature, salinity, sea level, ocean color, wind, and waves). We review strengths and limitations, impacts, and sustainability of in situ ocean surface observations of several ECVs and EOVs. We draw a 10-year vision of the global ocean surface observing network for improved synergy and integration with other observing systems (e.g., satellites), for modeling\/forecast efforts, and for a better ocean observing governance. The context is both the applications listed above and the guidelines of frameworks such as the Global Ocean Observing System (GOOS) and Global Climate Observing System (GCOS) (both co-sponsored by the Intergovernmental Oceanographic Commission of UNESCO, IOC\u2013UNESCO; the World Meteorological Organization, WMO; the United Nations Environment Programme, UNEP; and the International Science Council, ISC). Networks of multiparametric platforms, such as the global drifter array, offer opportunities for new and improved in situ observations. Advances in sensor technology (e.g., low-cost wave sensors), high-throughput communications, evolving cyberinfrastructures, and data information systems with potential to improve the scope, efficiency, integration, and sustainability of the ocean surface observing system are explored. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-10-30 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1217", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1217", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1217", "url": "https:\/\/hdl.handle.net\/11329\/1217" }, "author": [ { "@type": "Person", "name": "Centurioni, L.R." }, { "@type": "Person", "name": "Turton, J." }, { "@type": "Person", "name": "Lumpkin, R." }, { "@type": "Person", "name": "Braasch, L." }, { "@type": "Person", "name": "Brassington, G." }, { "@type": "Person", "name": "Chao, Y." }, { "@type": "Person", "name": "Charpentier, E." }, { "@type": "Person", "name": "Chen, Z." }, { "@type": "Person", "name": "Corlett, G." }, { "@type": "Person", "name": "Dohan, K." }, { "@type": "Person", "name": "Donlon, C." }, { "@type": "Person", "name": "Gallage, C." }, { "@type": "Person", "name": "Hormann, V." }, { "@type": "Person", "name": "Ignatov, A." }, { "@type": "Person", "name": "Ingleby, B." }, { "@type": "Person", "name": "Jensen, R." }, { "@type": "Person", "name": "Kelly-Gerreyn, B.A." }, { "@type": "Person", "name": "Koszalka, I.M." }, { "@type": "Person", "name": "Lin, X." }, { "@type": "Person", "name": "Lindstrom, E." }, { "@type": "Person", "name": "Maximenko, N." }, { "@type": "Person", "name": "Merchant, C.J." }, { "@type": "Person", "name": "Minnett, P." }, { "@type": "Person", "name": "O\u2019Carroll, A." }, { "@type": "Person", "name": "Paluszkiewicz, T." }, { "@type": "Person", "name": "Poli, P." }, { "@type": "Person", "name": "Poulain, P-M." }, { "@type": "Person", "name": "Reverdin, G." }, { "@type": "Person", "name": "Sun, X." }, { "@type": "Person", "name": "Swail, V." }, { "@type": "Person", "name": "Thurston, S." }, { "@type": "Person", "name": "Wu, L." }, { "@type": "Person", "name": "Yu, L." }, { "@type": "Person", "name": "Wang, B ." }, { "@type": "Person", "name": "Zhang, D." } ], "keywords": [ "Global in situ observations", "Air-sea interface", "Essential Ocean Variables (EOV)", "Essential Climate Variables (ECV)", "Climate variability", "Climatic changes", "Weather forecasting", "SVP drifters", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1578", "name": "Guide to Best Practice in Seascape Assessment.", "description": " - Seascape is a crucial element in any maritime nation\u2019s sense of identity and culture. It has played an important part in the history and development of Ireland and Wales. The coast and the sea is a primary holiday and leisure location and is a significant asset in a nation\u2019s recreational resource. The coast and related seascape is a finite resource under almost continual pressure for development. In both Ireland and Wales we are currently experiencing a period of exceptional change around our coasts. The response to sea level rise is generating more proposals for coastal defence works. We have seen the development of new ports and the upgrading of existing facilities, and proposals for aquaculture schemes have become more prevalent around some coasts. Energy strategies are giving rise to wind turbine projects off both coasts. We have also become more aware of how valuable and important our seascapes are to the character and identity of much of our countryside, towns and cities. With all of these development pressures related to the coast and the sea, a systematic approach to issues raised is now timely and essential to ensure that the decision making process has the tools to deal with the upcoming changes. For these reasons development that affects our coasts and seascapes require particular attention and care. Such consideration can best be given in a structure based upon a thorough understanding of the character and values attributable to the relevant seascapes. This guide attempts to provide a methodology to deal with the issues involved. - , - INTERREG 5 - , - Published - , - Refereed - , - Current - , - 14.a - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1578", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1578", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1578", "url": "https:\/\/hdl.handle.net\/11329\/1578" }, "author": [ { "@type": "Person", "name": "Hill, Margaret" }, { "@type": "Person", "name": "Briggs, John" }, { "@type": "Person", "name": "Minto, Peter" }, { "@type": "Person", "name": "Bagnall, David" }, { "@type": "Person", "name": "Foley, Karen" }, { "@type": "Person", "name": "Williams, Tony" } ], "contributor": [ { "@type": "Organization", "name": "Marine Institute" } ], "keywords": [ "Seascape assesssment", "Coastal character assessment", "Marine spatial planning", "Coastal zone management", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2593", "name": "Environmental Test Methods for Oceanographic Instruments -- Part 4: High-Temperature Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures and relevant information pertaining to high-temperature tests for marine instruments. This part is used to examine or determine the adaptability of using marine instruments under high-temperature environment conditions. It is also used as a reference for low-temperature environment tests of marine instrument parts and components. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2593", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2593", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2593", "url": "https:\/\/hdl.handle.net\/11329\/2593" }, "author": [ { "@type": "Person", "name": "Kong, Weixuan" }, { "@type": "Person", "name": "Zhang, Qiang" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Oceanographic instruments", "High temperature testing", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1214", "name": "An overview of uncertainty quantification techniques with application to oceanic and oil-spill simulations.", "description": " - We give an overview of four different ensemble-based techniques for uncertainty quantification and illustrate their application in the context of oil plume simulations. These techniques share the common paradigm of constructing a model proxy that efficiently captures the functional dependence of the model output on uncertain model inputs. This proxy is then used to explore the space of uncertain inputs using a large number of samples, so that reliable estimates of the model\u2019s output statistics can be calculated. Three of these techniques use polynomial chaos (PC) expansions to construct the model proxy, but they differ in their approach to determining the expansions\u2019 coefficients; the fourth technique uses Gaussian Process Regression (GPR). An integral plume model for simulating the Deepwater Horizon oil-gas blowout provides examples for illustrating the different techniques. A Monte Carlo ensemble of 50,000 model simulations is used for gauging the performance of the different proxies. The examples illustrate how regression based techniques can outperform projection-based techniques when the model output is noisy. They also demonstrate that robust uncertainty analysis can be performed at a fraction of the cost of the Monte Carlo calculation. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1214", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1214", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1214", "url": "https:\/\/hdl.handle.net\/11329\/1214" }, "author": [ { "@type": "Person", "name": "Iskandarani, M." }, { "@type": "Person", "name": "Wang, S." }, { "@type": "Person", "name": "Srinivasan, A." }, { "@type": "Person", "name": "Carlisle Thacker, W." }, { "@type": "Person", "name": "Winokur, J." }, { "@type": "Person", "name": "Knio, O. M." } ], "keywords": [ "Uncertainty quantification", "Polynomial chaos", "Gaussian processes", "Integral plume model", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/285", "name": "SeaDataNet metadata profile of ISO 19115.", "description": " - Definition of SeaDataNet metadata profile, according to ISO 19115 international standard specification. This document has been drafted in the context of the SeaDataNet FP7 project by CNR \u201cISO\/IEC Directives, Part 2: Rules for the structure and drafting of International Standards\u201d was used as a reference for the drafting. - , - European Union - , - Published - , - FP7 SeaDataNet II Project - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/285", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/285", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/285", "url": "https:\/\/hdl.handle.net\/11329\/285" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1938", "name": "Quality Control steps for EMODnet Chemistry Eutrophication aggregated datasets - v2021, [10\/03\/2021].", "description": " - This document describes Quality Control steps procedure adopted to obtain the 2021 release of the standardised, harmonised and validated data collections concerning eutrophication (nutrients, chlorophyll and oxygen) per sea region (Mediterranean Sea, Black Sea, Arctic Region, Baltic Sea, Greater North Sea and North East Atlantic Ocean). All data entering EMODnet Chemistry are managed according to standard protocols developed in the framework of the European consolidated SeaDataNet marine data infrastructure (https:\/\/www.seadatanet.org), and undergo a commonly agreed metadata and data validation process (Giorgetti et al., 2020). An automatic Robot Harvester, properly configured with predefined criteria of geographical and temporal coverage and parameters, is adopted to retrieve specific data sets from distributed data centers to obtain data collections per sea region from the heterogeneous datasets originating from multiple institutions. Two types of data are available: \u2022 vertical profiles (VP) for data that have been collected roughly at the same time and location for several consecutive vertical depths, \u2022 time series (TS) for data collected at the same location and depth but repeated in time - , - European Union - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1938", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1938", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1938", "url": "https:\/\/hdl.handle.net\/11329\/1938" }, "author": [ { "@type": "Person", "name": "Buga, L." }, { "@type": "Person", "name": "Sarbu, G." }, { "@type": "Person", "name": "Fryberg, L." }, { "@type": "Person", "name": "Wesslander, K." }, { "@type": "Person", "name": "Gatti, J." }, { "@type": "Person", "name": "Iona, S." }, { "@type": "Person", "name": "Tsompanou, M." }, { "@type": "Person", "name": "M. M., Larsen" }, { "@type": "Person", "name": "\u00d8strem, A.K." }, { "@type": "Person", "name": "Lipizer, M." }, { "@type": "Person", "name": "M.E., Molina Jack" }, { "@type": "Person", "name": "Giorgetti, A." } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Chemistry" } ], "keywords": [ "Eutrophication data", "Chemical oceanography", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2503", "name": "ISO 13395:1996. Water quality \u2014 Determination of nitrite nitrogen and nitrate nitrogen and the sum of both by flow analysis (CFA and FIA) and spectrometric detection. Edition 1. [Reviewed 2023]", "description": " - Methods using flow analysis enable wet chemistry procedures to be automatized and are particularly suitable for the processing of many analytes in water in large series of samples at a high analysis frequency (up to 100 samples per hour). A differentiation is made between flow injection analysis (FIA) [1][2] and continuous flow analysis (CFA) [3]. Both methods share the feature of an automatic dosage of the sample into a flow system (manifold) where the analytes in the sample will react with the reagent solutions on their way through the manifold. The sample preparation may be integrated in the manifold. The reaction product is measured in a flow detector (e.g. flow photometer). This International Standard specifies a method for the determination of nitrite(N) (see note 2), nitrate(N) or the sum of both [nitrite\/nitrate(N)], in various types of waters (such as ground, drinking, surface, and waste waters) in mass concentrations ranging from 0,01 mg\/l to 1 mg\/l for nitrite(N) and from 0,2 mg\/l to 20 mg\/l for nitrite\/nitrate(N), both in the undiluted sample. The range of application can be changed by varying the operating conditions. 1 Seawater may be analysed with changes in respect to sensitivity and adaptation of the carrier solution and calibration solutions to the salinity of the samples. 2 The following concise terms are used in the text of this International Standard: nitrite(N): (mass concentration of) nitrite, expressed as nitrogen nitrate(N): (mass concentration of) nitrate, expressed as nitrogen nitrite\/nitrate(N): (mass concentration of) the sum of nitrite(N) and nitrate(N) - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2503", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2503", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2503", "url": "https:\/\/hdl.handle.net\/11329\/2503" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Flow injection analysis (FIA)", "Continuous flow analysis (CFA)", "Nitrite", "Nitrate", "Nitrogen", "ISO Standard", "Carbon, nitrogen and phosphorus", "Nutrients", "flow injection analysers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1524", "name": "White paper on dissolved oxygen measurements: scientific needs and sensors accuracy.", "description": " - The objective here is to review the practical accuracy and the precision of the existing oxygen sensors used in oceanography. The idea is to review all oxygen sensors mounted on fixed and lagrangian platforms (mooring, CTD profiler, glider, ARGO floats) used on coastal observatories. This report synthetizes the past experiences and recommendations for a better use of oxygen sensors in order to improve the quality of the oxygen data for scientific exploitations. - , - European commission grant 262584 (JERICO) - , - Published - , - Report produced during the JERICO European project (2011-2015) grant 262584 - , - Current - , - 14.A - , - Dissolved oxygen - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1524", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1524", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1524", "url": "https:\/\/hdl.handle.net\/11329\/1524" }, "author": [ { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Delauney, Laurent" }, { "@type": "Person", "name": "Machoczek, Detlev" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Sparnocchia, Stefania" }, { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Hydes, David" }, { "@type": "Person", "name": "Haller, Michael" }, { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Lefevre, Dominique" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO" } ], "keywords": [ "Oxygen sensors", "Coastal waters", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1343", "name": "Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments.", "description": " - A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ observing system were assimilated, such as implementing a global drifter array equipped with a thermistor chain down to 150 m depth or extending a part of the global Argo array in the deep ocean. While results from the four systems show similarities and differences, the comparison of the experiments with the Nature Run, generally demonstrates a positive impact of the different extra observation networks on the temperature and salinity fields. The spread of the multi-system simulations, combined with the sensitivity of each system to the evaluated observing networks, allowed us to discuss the robustness of the results and their dependence on the specific analysis system. By helping define and test future observing systems from an integrated observing system view, the present work is an initial step toward better-coordinated initiatives supporting the evolution of the ocean observing system and its integration within ocean monitoring and forecasting systems. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-03-14 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1343", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1343", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1343", "url": "https:\/\/hdl.handle.net\/11329\/1343" }, "author": [ { "@type": "Person", "name": "Gasparin, Florent" }, { "@type": "Person", "name": "Guinehut, Stephanie" }, { "@type": "Person", "name": "Mao, Chongyuan" }, { "@type": "Person", "name": "Mirouze, Isabelle" }, { "@type": "Person", "name": "R\u00e9my, Elisabeth" }, { "@type": "Person", "name": "King, Robert R." }, { "@type": "Person", "name": "Hamon, Mathieu" }, { "@type": "Person", "name": "Reid, Rebecca" }, { "@type": "Person", "name": "Storto, Andrea" }, { "@type": "Person", "name": "Le Traon, Pierre-Yves" }, { "@type": "Person", "name": "Martin, Matthew J." }, { "@type": "Person", "name": "Masina, Simona" } ], "keywords": [ "OSSE (Observing System Simulation Experiment)", "AtlantOS Project", "Argo floats", "Drifter", "Deep observations", "Global monitoring and forecasting systems", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1731", "name": "Best Practices to reduce marine litter from net cuttings waste.", "description": " - The primary source of net cuttings in the North Sea is from trawl nets that are being repaired on board fishing vessels at sea and on the quayside in port. Sections of net that have been damaged through regular wear and tear or by accident are cut from the net and discarded, through lack of awareness, habit or carelessness. If they are not removed quickly from the deck of the vessel they can be washed overboard by storms, high winds, waves or rainwater, or swept overboard (by design or accident) when the deck is cleaned. If they are not removed from docks and quaysides they can be carried to the sea by wind or runoff water (storm drains or directly over the edge), or swept into the sea during clean-up activities. Net cuttings can also fall onto the fishing nets on board and be trapped there, dropping into the sea when the net is rolled up on the boat or rolled out during regular fishing activities. They can also fall into the water when nets are transferred from the quay to the boat or when new nets are taken in use, as waste pieces from manufacturing can become trapped in the netting. The following best practice recommendations and examples have been compiled primarily from the results of the survey undertaken by KIMO of harbours in four European countries and feedback from face to face dialogue with harbour staff and fishers. They demonstrate some of the most simple, practical and inexpensive ways in which fishers and harbour authorities can reduce the number of net cuttings ending up in the sea and consequently reduce the negative impacts caused by this waste to our marine environment and economy. - , - Swedish Agency for Marine and Water Management, - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Marine debris - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1731", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1731", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1731", "url": "https:\/\/hdl.handle.net\/11329\/1731" }, "author": [ { "@type": "Person", "name": "Metcalfe, Ryan" }, { "@type": "Person", "name": "Bentley, Arabelle" } ], "contributor": [ { "@type": "Organization", "name": "KIMO International for Swedish Agency for Marine and Water Management" } ], "keywords": [ "Fishing gear", "Plastic pollution", "Net cuttings", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/696", "name": "Nutrients: Practical notes on their determination in sea water.", "description": " - These notes are aimed primarily at the freshwater chemist beginning to conduct analyses of nutrients in saline waters, but they will also be useful to the complete newcomer to the application of automated colorimetric techniques to natural waters in general. The emphasis is on automated techniques, but much of the material should be of interest to analysts who still use manual methods. The term 'nutrients' is a little difficult to define precisely, but from the point of view of the marine chemist, phosphate, nitrate, nitrite, ammonia, and silicate are those most commonly encountered. For a more detailed discussion and definitions of terms, see Grasshoff et al. (1983). - , - Published - , - Refereed - , - Current - , - Nutrients - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/696", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/696", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/696", "url": "https:\/\/hdl.handle.net\/11329\/696" }, "author": [ { "@type": "Person", "name": "Kirkwood, D." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2512", "name": "PinniFred: Seal Research and Veterinary Training Aids - User Manual. Version 1.01.", "description": " - PinniFred is a unique training tool designed for seal veterinary, conservation and research staff. We believe that by learning with PinniFred you will quickly improve the knowledge, skills and competency of staff, as well refining procedures, which will undoubtably improve animal welfare. PinniFred was conceived, designed and built by hands on seal research and husbandry staff with many years\u2019 experience. Using our familiarity with the species our ambition has been to create a training tool that is sufficiently realistic and robust to enable users to develop competencies in essential skills without the use of live animals. The model allows users to spend time learning the features and feel of key anatomical structures, and enables users to repetitively carry out skills until intimately familiar with the processes involved. We firmly believe that by using PinniFred products users will quickly gain confidence and competence , and most importantly by refining skills will maximise the welfare of the animals under your care. - , - Published - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2512", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2512", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2512", "url": "https:\/\/hdl.handle.net\/11329\/2512" }, "contributor": [ { "@type": "Organization", "name": "Sea Mammal Research Unit, University of St Andrews" } ], "keywords": [ "Pinnipeds", "Seals", "Training", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1401", "name": "Persistent Identification of Instruments.", "description": " - Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to the assessment of data quality and data reuse, globally unique, persistent and resolvable identification of instruments is crucial. The Research Data Alliance Working Group Persistent Identification of Instruments (PIDINST) developed a community-driven solution for persistent identification of instruments which we present and discuss in this paper. Based on an analysis of 10 use cases, PIDINST developed a metadata schema and prototyped schema implementation with DataCite and ePIC as representative persistent identifier infrastructures and with HZB (Helmholtz-Zentrum Berlin f\u00fcr Materialien und Energie) and BODC (British Oceanographic Data Centre) as representative institutional instrument providers. These implementations demonstrate the viability of the proposed solution in practice. Moving forward, PIDINST will further catalyse adoption and consolidate the schema by addressing new stakeholder requirements. - , - Refereed - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1401", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1401", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1401", "url": "https:\/\/hdl.handle.net\/11329\/1401" }, "author": [ { "@type": "Person", "name": "Stocker, Markus" }, { "@type": "Person", "name": "Darroch, Louise" }, { "@type": "Person", "name": "Krahl, Rolf" }, { "@type": "Person", "name": "Habermann, Ted" }, { "@type": "Person", "name": "Devaraju, Anusuriya" }, { "@type": "Person", "name": "Schwardmann, Ulrich" }, { "@type": "Person", "name": "D'Onofrio, Claudio" }, { "@type": "Person", "name": "H\u00e4ggstr\u00f6m, Ingemar" } ], "keywords": [ "Persistent Identification", "Instruments", "Metadata", "DOI", "Handle", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2178", "name": "Sila Qanuippa? (How's the Weather?): Integrating Inuit Qaujimajatuqangit and Environmental Forecasting Products to Support Travel Safety around Pond Inlet, Nunavut, in a Changing Climate.", "description": " - As Inuit hunters living in Pond Inlet, Nunavut, we (N. Simonee and J. Alooloo) travel extensively on land, water, and sea ice. Climate change, including changing sea ice and increasingly unpredictable weather patterns, hasmade it riskier and harder for us to travel and hunt safely. Inuit knowledge supporting safe travel is also changing and is shared less between generations. We increasingly use online weather, marine, and ice products to develop locally relevant forecasts. This helps us to make decisions according to wind, waves, precipitation, visibility, sea ice conditions, and floe edge location. We apply our forecasts and share them with fellow community members to support safe travel. In this paper, we share the approach that we developed from over a decade of systematically and critically assessing forecasting products such as Windy. com, weather and marine forecasts, tide tables, C-CORE's floe edge monitoring service, SmartICE, Zoom Earth, and time-lapse cameras. We describe the strengths and challenges we face when accessing, interpreting, and applying each product throughout different seasons. Our analysis highlights a disconnect between available products and local needs. This disconnect can be overcome by service providers adjusting services to include more seasonal and real-time information, nontechnical language, familiar units of measurement, data size proportional to internet access cost and speed, and clear relationships between weather, marine, and ice information and safe travel. Our findings have potential relevance in the circumpolar Arctic and beyond, wherever people combine Indigenous weather forecasting methods and online information for decision-making. We encourage service providers to improve product relevance and accessibility. - , - Refereed - , - Sea ice - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2178", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2178", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2178", "url": "https:\/\/hdl.handle.net\/11329\/2178" }, "author": [ { "@type": "Person", "name": "Simonee, Natasha" }, { "@type": "Person", "name": "Alooloo, Jayko" }, { "@type": "Person", "name": "Carter, Natalie Ann" }, { "@type": "Person", "name": "Ljubicic, Gita" }, { "@type": "Person", "name": "Dawson, Jackie" } ], "keywords": [ "Forecasting techniques", "Climate variability", "Indigenous Knowledge", "Weather services", "Decision support", "Societal impacts", "Weather forecasting", "Indigenous knowledge", "Human activity", "Meteorology", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/967", "name": "Biodiversity and Ecosystem Services: Good Practice Guidance for Oil and Gas Operations in Marine Environments.", "description": " - Our oceans produce more than half of the oxygen in our atmosphere, as well as absorbing carbon. Over three billion people depend on marine resources for food, and the coastal environment supports the livelihoods of more than 200 million people. Marine habitats make a vital contribution to biodiversity and ecosystem services, but are facing growing threats from pollution and infrastructure development. As energy demands rise, oil and gas companies are focusing increasingly on offshore reserves, placing additional pressure on the marine environment. Offshore oil and gas developments and their effects on marine biodiversity and ecosystem services are, quite rightly, subject to increasing scrutiny at local, national and international levels, with the result that reputational, operational and financial risk are a growing concern for the oil and gas industry. Until now, however, guidelines on how to apply, monitor and enable industry standards and policy have been conspicuously lacking. With this in mind, Fauna & Flora International (FFI) has now produced comprehensive guidance that will help oil and gas sector operators to minimise their impact on marine biodiversity and ecosystem services. This is the first guidance document to address the impact of oil and gas extraction specifically in the marine environment, and it will prove invaluable in enabling the industry to operate in an environmentally responsible manner. - , - Published - , - Refereed - , - Current - , - 14.1 - , - 14.2 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/967", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/967", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/967", "url": "https:\/\/hdl.handle.net\/11329\/967" }, "contributor": [ { "@type": "Organization", "name": "Fauna and Flora (FFI)" } ], "keywords": [ "Oil pollution", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1051", "name": "GML Encoding of Discrete Coverages (interleaved pattern).", "description": " - This specification was developed under the OWS 4 initiative as part of the Sensor Web Enablement thread. It provides an encoding for coverage data that may be used as the value of the result of an Observation, as well as for other purposes. All parts of the document are normative except for ANNEX A \u2013 XML implementation examples, and ANNEX B \u2013 An XML implementation of simple items, records and arrays. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1051", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1051", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1051", "url": "https:\/\/hdl.handle.net\/11329\/1051" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Coverages", "Sensor data", "Data Management Practices::Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1657", "name": "CalCOFI bottle sampling.", "description": " - The CalCOFI CTD-rosette is equipped with a Sea-Bird Electronic carousel water sampler (SBE 32), a computer-driven, electro-magnetically-released latch system. The 24 ten-liter plastic (PVC) bottles, equipped with epoxy-coated springs & Viton (non-toxic) O-rings, connect to 24 individual triggers by lanyards which keep the bottle ends open. During the downcast, profiles of different sensor measurements vs depth are displayed real-time on a computer screen. Based on the chlorophyll maximum & mixed layer depths, bottles are closed at specific depths to isolate the seawater. The 10 meter bottle spacing shifts up or down (see table below) to resolve steep gradient features such as chlorophyll, oxygen, nitrite maxima and shallow salinity minimum. Salinity, oxygen and nutrients samples are analyzed at-sea for all depths sampled. Chlorophyll-a and phaeopigments samples from the top 200 meters, bottom depth permitting, are also extracted for 24hrs and analyzed at-sea. Most CTD-rosette casts sample 20 depths to a maximum of 515 meters, bottom depth permitting. Occasionally, additional bottle depths or multiple bottles are tripped at the same depth to provide extra water for ancillary projects or primary productivity incubations. Two basin stations, off Santa Monica & Santa Barbara, are sampled beyond 515m to within 10m of bottom. Wire-length permitting, a 3500m deep cast is performed at sta 90.90. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1657", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1657", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1657", "url": "https:\/\/hdl.handle.net\/11329\/1657" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Nansen bottles", "Niskin bottles", "Wally bottles", "CTD rosette", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1730", "name": "Methods to locate derelict fishing gear in marine waters: a guidance document.", "description": " - This document was created for the Catalyze and Replicate Solutions Working Group of the Global Ghost Gear Initiative (GGGI). The purpose of the document is to assist prospective solutions project managers by providing a general overview of methods and techniques used globally to locate abandoned, lost, or otherwise discarded fishing gear (ALDFG) in marine habitats. The document describes a number of methods used; provides general techniques, benefits and limitations of the methods; and provides contact information of individuals and entities experienced in the methods. Locating ALDFG is undertaken for two main reasons: to answer research questions related to the fate and transport of lost fishing gear and to remove lost fishing gear from marine waters, thus eliminating its harmful impacts to species and habitats. This document focuses on location methods best used if eventual removal of ALDFG is desired. Methods used to model ALDFG fate and transport at large geographic scales or to infer the locations of ALDFG based on ocean circulation, etc. are not explained here. To begin exploring these methods, we recommend accessing the 2012 special issue of the Marine Pollution Bulletin Volume 65, which focuses on at-sea detection of the ALDFG in the North Pacific Ocean. If location of gear is undertaken to remove gear, project managers must determine whether location of lost gear will be conducted prior to launching gear removal operations or whether gear location and removal work will be conducted together. Simultaneous location and removal operations can be successful if managers have a good general knowledge of where the gear is located or confidence that concentrations of lost gear occur in a general area. In many fisheries throughout the world, the extent and location of lost fishing gear is unknown. The following methods can assist in initial assessments of locations and concentrations of lost gear to inform and guide subsequent removal operations. Selected case studies highlighting the methods described are included, and contact information is given for individuals experienced using the various methods explained herein. If attempts to contact these individuals for further information indicate that their contact information is out of date, or they are not responding, please contact gggi@worldanimalprotection.org for assistance. - , - Published - , - Prepared by Joan Drinkwin - Natural Resources Consultants, Inc. - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1730", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1730", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1730", "url": "https:\/\/hdl.handle.net\/11329\/1730" }, "contributor": [ { "@type": "Organization", "name": "Global Ghost Gear Initiative" } ], "keywords": [ "Fishing gear", "Marine litter", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/785", "name": "Performance Demonstration Statement PMEL MAPCO2\/Battelle Seaology pCO2 Monitoring System.", "description": " - Alliance for Coastal Technology (ACT) demonstration projects are designed to characterize performance of relatively new and promising instruments for applications in coastal science, coastal resource management and ocean observing. ACT has evaluated four commercial pCO2 instruments that are capable of being moored for weeks to months. This document is termed a \u201cDemonstration Statement\u201d and provides a summary of the results for two MAPCO2 systems operated and maintained by the NOAA Pacific Marine Environmental Laboratory, Seattle, WA. Briefly, test instruments were mounted on surface moorings in a temperate stratified estuary (Twanoh Buoy, Hood Canal Washington; August-September 2009; http:\/\/orca.ocean.washington.edu\/mooringDesign.html;) and a coral reef (Kaneohe Bay Hawaii; October-November 2009; http:\/\/www.pmel.noaa.gov\/co2\/coastal\/HI\/). The sites were chosen based on existing moorings and the expected rapid changes in seawater temperature and pCO2. Water samples were collected to determine pH and Total Alkalinity (TA) for calculation of pCO2 (CO2Sys; Pierrot et.al. 2006) and direct measurements of pCO2 using a flow-through pCO2 analyzer (Oregon State University; gas equilibration and infrared gas detection). In situ pCO2 measurements are compared to both of these references and estimates of analytical and environmental variability are reported. Quality Assurance (QA) and oversight of the demonstration process was accomplished by the ACT QA specialists, who conducted technical, protocol and data quality audits. At Twanoh buoy, Hood Canal, temperature varied from 11.09 to 19.62 oC and salinity varied from 24.3 to 29.1 over the deployment. Measured pCO2 values of reference samples varied from 334 to 488 \u00b5atm while the hourly measured of the MAPCO2 system varied from 325 to 725 \u00b5atm providing a more complete assessment of the variability in the ecosystem. The mean and standard deviation of the difference for individual MAPCO2 determinations and the Flow Analyzer reference measurements were -9 \u00b1 8 \u00b5atm (n=31; MAPCO2 - Flow Analyzer). The mean and standard deviation of the difference for individual MAPCO2 determinations and the pCO2Sys reference measurements were -12 \u00b1 30 \u00b5atm (n=42; MAPCO2 - pCO2Sys). At NOAA Crimp 2 buoy, Kaneohe Bay, temperature varied from 23.24 to 28.27 oC and salinity varied from 34.1 to 35.2 over the deployment. Measured pCO2 values of reference samples varied from 314 to 608 \u00b5atm, while the hourly MAPCO2 measurements varied from 300 to 800 \u00b5atm, again capturing more of the full variability in the ecosystem. The mean and standard deviation of the difference for individual MAPCO2 determinations and the Flow Analyzer measurements were -3 \u00b1 9 \u00b5atm (n=13; MAPCO2 - Flow Analyzer ). The mean and standard deviation of the difference for individual MAPCO2 determinations and the pCO2Sys reference measurements were 3 \u00b1 9 \u00b5atm (n=45; MAPCO2 - pCO2Sys). Both of the instrument systems on the moorings functioned throughout the month long test period. At Washington, 100 percent of expected data were retrieved, while at Hawaii two individual sample points were not retrieved out of the more than 620 values reported for the time-series. The extensive time-series provided by the MAPCO2 at both test sites revealed diel patterns in pCO2 and captured a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. There were no changes in the differences between instrument and reference measurements during either test, indicating that biofouling and instrument drift did not affect measurement performance over the duration of the test. - , - Published - , - Refereed - , - Current - , - Carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/785", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/785", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/785", "url": "https:\/\/hdl.handle.net\/11329\/785" }, "author": [ { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1999", "name": "Guidelines on the determination of chlorinated hydrocarbons in sediment.", "description": " - These guidelines are based on the review from Smedes and de Boer (1994, 1998) and Eljarrat and Barcel\u00f3 (2009). The analysis of chlorinated hydrocarbons in sediments generally involves extraction with organic solvents, clean-up, removal of sulphur, column fractionation and gas chromatographic separation, mostly with electron capture or mass-spectrometric detection. All steps of the procedure are susceptible to insufficient recovery and contamination. Quality control measures are recommended in order to regularly monitor the performance of the method. These guidelines are intended to encourage and assist analytical chemists to critically review their methods and to improve their procedures and quality assurance measures, if necessary. These guidelines can be applied for the determination of several types of chlorinated hydrocarbons, e.g., chlorinated biphenyls (CB), chlorobenzenes, DDT and its metabolites and hexachlorocyclohexanes. It should be noted that these guidelines do not cover the determination of non-ortho substituted CB. Due to the low concentrations of non-ortho CB in sediments comparing to those of other CB, their determination requires an additional separation and concentration step similar to the analysis of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD\/F). These guidelines are not intended as complete laboratory manual. If necessary, guidance should be sought from specialized laboratories. Laboratories should demonstrate validity of each methodological step. Moreover, use of an alternative method, carried out concurrently to the routine procedure, is recommended for validation. Contracting parties should follow the HELCOM monitoring guideline but minor deviations from this are acceptable if the method achieves comparable results. Validation of the adopted method needs to be performed on the relevant matrix and concentration range e.g. by taking part in intercomparison studies or proficiency testing schemes. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1999", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1999", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1999", "url": "https:\/\/hdl.handle.net\/11329\/1999" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Hydrocarbons" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1104", "name": "OpenGIS\u00ae Implementation Standard for Geographic information - Simple feature access - Part 1: Common architecture [Corrigendum]", "description": " - This standard establishes a common architecture and defines terms to use within the architecture. This standard does not attempt to standardize and does not depend upon any part of the mechanism by which Types are added and maintained, including the following: a) syntax and functionality provided for defining types; b) syntax and functionality provided for defining functions; c) physical storage of type instances in the database; d) specific terminology used to refer to User Defined Types, for example UDT. This standard does standardize names and geometric definitions for Types for Geometry. This standard does not place any requirements on how to define the Geometry Types in the internal schema nor does it place any requirements on when or how or who defines the Geometry Types. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1104", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1104", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1104", "url": "https:\/\/hdl.handle.net\/11329\/1104" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Common Architecture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2605", "name": "Gu\u00eda para la restauraci\u00f3n de los bosques de Cystoseira s.l. de poca profundidad en las Islas Baleares.", "description": " - This guide outlines a strategic approach to restoring the shallow-water Cystoseira forests in the Balearic Islands, a critical yet highly threatened marine ecosystem in the Mediterranean. These underwater forests provide essential ecological services, including habitat formation, biodiversity support, and coastal protection. However, they face significant threats from human activities and environmental changes, necessitating urgent restoration efforts. Rationale for Restoration \u2013 The loss of Cystoseira forests has severe ecological consequences, including reduced biodiversity, weaker coastal defenses, and diminished carbon sequestration. The guide discusses the main drivers of degradation, such as pollution, habitat destruction, overfishing, and climate change, emphasizing the importance of conservation to maintain ecosystem resilience. Site Selection Criteria \u2013 Choosing appropriate restoration sites is crucial for success. The guide outlines factors to consider, such as historical records of Cystoseira presence, current ecological conditions, and the potential to mitigate ongoing threats. Reference sites with intact ecosystems are also recommended to serve as benchmarks for restoration success. Restoration Planning \u2013 A well-structured restoration plan includes selecting suitable Cystoseira species based on local environmental conditions, identifying effective restoration techniques, securing legal permits, and involving local stakeholders. The guide emphasizes the importance of integrating scientific research with community participation to ensure sustainable outcomes. Passive Restoration \u2013 Where possible, restoring Cystoseira forests through passive means, such as reducing human impacts, is preferable. This includes improving water quality, controlling pollution, managing herbivore populations, and enforcing protective measures to allow natural regeneration without direct human intervention. Active Restoration \u2013 In cases where natural recovery is not feasible, active restoration techniques are necessary. The guide details methods to enhance Cystoseira recruitment, such as transplanting fertile branches (in-situ) or cultivating juveniles in controlled environments before reintroducing them into the wild (ex-situ). Factors influencing large-scale restoration, such as environmental conditions and genetic diversity, are also discussed. Monitoring and Evaluation \u2013 Assessing restoration outcomes is essential to measure success and adapt strategies as needed. The guide provides methodologies for monitoring ecological indicators, including population density, habitat complexity, and biodiversity levels, ensuring that restoration efforts are effective and sustainable over time. This guide serves as a comprehensive resource for scientists, conservationists, and policymakers involved in marine ecosystem restoration, providing a replicable model for other Mediterranean and global coastal regions. - , - Fundaci\u00f3n Cleanwave - , - Published - , - Refereed - , - Esta gu\u00eda presenta un enfoque estrat\u00e9gico para la restauraci\u00f3n de los bosques de Cystoseira en aguas someras de las Islas Baleares, un ecosistema marino clave pero altamente amenazado en el Mediterr\u00e1neo. Estos bosques submarinos brindan servicios ecol\u00f3gicos esenciales, como la formaci\u00f3n de h\u00e1bitats, el soporte de biodiversidad y la protecci\u00f3n costera. Sin embargo, enfrentan graves amenazas derivadas de actividades humanas y cambios ambientales, lo que hace urgente su restauraci\u00f3n. Importancia de la Restauraci\u00f3n \u2013 La p\u00e9rdida de los bosques de Cystoseira tiene graves consecuencias ecol\u00f3gicas, como la reducci\u00f3n de la biodiversidad, la disminuci\u00f3n de la protecci\u00f3n costera y la menor capacidad de captura de carbono. La gu\u00eda analiza los principales factores de degradaci\u00f3n, como la contaminaci\u00f3n, la destrucci\u00f3n del h\u00e1bitat, la sobrepesca y el cambio clim\u00e1tico, destacando la necesidad de su conservaci\u00f3n para mantener la resiliencia del ecosistema. Criterios para la Selecci\u00f3n de Zonas \u2013 La elecci\u00f3n de sitios adecuados es crucial para el \u00e9xito de la restauraci\u00f3n. Se detallan factores a considerar, como la presencia hist\u00f3rica de Cystoseira, el estado ecol\u00f3gico actual y la posibilidad de mitigar amenazas en curso. Tambi\u00e9n se recomienda el uso de zonas de referencia con ecosistemas intactos para establecer comparaciones y evaluar el \u00e9xito del proceso. Planificaci\u00f3n de la Restauraci\u00f3n \u2013 Un plan de restauraci\u00f3n bien estructurado incluye la selecci\u00f3n de especies adecuadas seg\u00fan las condiciones locales, la identificaci\u00f3n de t\u00e9cnicas de restauraci\u00f3n eficaces, la obtenci\u00f3n de permisos legales y la participaci\u00f3n de la comunidad. La gu\u00eda enfatiza la importancia de combinar la investigaci\u00f3n cient\u00edfica con la colaboraci\u00f3n social para lograr resultados sostenibles. Restauraci\u00f3n Pasiva \u2013 Siempre que sea posible, se priorizan las medidas de restauraci\u00f3n pasiva, que consisten en la reducci\u00f3n de impactos humanos para facilitar la regeneraci\u00f3n natural. Estas incluyen la mejora de la calidad del agua, la reducci\u00f3n de la contaminaci\u00f3n, el control de poblaciones de herb\u00edvoros y la aplicaci\u00f3n de medidas de protecci\u00f3n. Restauraci\u00f3n Activa \u2013 En situaciones donde la recuperaci\u00f3n natural no es viable, se requiere restauraci\u00f3n activa. La gu\u00eda describe t\u00e9cnicas para mejorar el reclutamiento de Cystoseira, como la traslocaci\u00f3n de ramas f\u00e9rtiles (in situ) o el cultivo de juveniles en laboratorio antes de su reintroducci\u00f3n en el medio natural (ex situ). Tambi\u00e9n se abordan factores que pueden afectar el \u00e9xito de la restauraci\u00f3n a gran escala. Monitoreo y Evaluaci\u00f3n \u2013 Evaluar los resultados de la restauraci\u00f3n es fundamental para medir el \u00e9xito y ajustar las estrategias seg\u00fan sea necesario. La gu\u00eda proporciona metodolog\u00edas para el seguimiento de indicadores ecol\u00f3gicos, como la densidad de poblaci\u00f3n, la complejidad del h\u00e1bitat y los niveles de biodiversidad, garantizando que los esfuerzos de restauraci\u00f3n sean efectivos y sostenibles a largo plazo. Esta gu\u00eda es un recurso integral para cient\u00edficos, conservacionistas y responsables de pol\u00edticas ambientales, ofreciendo un modelo replicable para la restauraci\u00f3n de ecosistemas marinos en el Mediterr\u00e1neo y otras regiones costeras del mundo. - , - Current - , - 14.1 - , - Pilot or Demonstrated - , - Organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2605", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2605", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2605", "url": "https:\/\/hdl.handle.net\/11329\/2605" }, "author": [ { "@type": "Person", "name": "Benjumea, Tat\u00ed" }, { "@type": "Person", "name": "Royo, Laura" }, { "@type": "Person", "name": "Esca\u00f1o, Jose" }, { "@type": "Person", "name": "Tom\u00e1s, Fiona" } ], "contributor": [ { "@type": "Organization", "name": "Fundaci\u00f3n Cleanwave" } ], "keywords": [ "Cystoseiras", "MedGardens", "Fundaci\u00f3n Cleanwave", "Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1837", "name": "Environmental Test Methods for Oceanographic Instruments -- Part 3: Low-temperature Storage Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures, and relevant information pertaining to low-temperature storage tests for marine instruments. This part is used to examine or determine the adaptability of marine instruments when stored under low-temperature environment conditions. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - National - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1837", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1837", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1837", "url": "https:\/\/hdl.handle.net\/11329\/1837" }, "author": [ { "@type": "Person", "name": "Liu, Shidong" }, { "@type": "Person", "name": "Zhang, Yanfu" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1650", "name": "Guidelines for Bathymetric Mapping and Orthoimage Generation using sUAS and SfM: An Approach for Conducting Nearshore Coastal Mapping.", "description": " - The absence of accurate, contemporary, or detailed bathymetric data in nearshore coastal waters impedes coastal research, conservation, disaster response, planning, and management efforts. The use of small Unmanned Aircraft Systems (sUAS) and low cost RGB (red, blue, green) cameras, coupled with advanced photogrammetry methods, structure from motion (SfM), provides a portable, efficient, rapid-response, and cost-effective method to fill nearshore data gaps. The sUAS\u2013SfM approach provides an alternative method to traditional nearshore collection techniques, and is one that can benefit a diverse user community. The digital elevation models (DEMs) and photomosaics that result from the sUAS-SfM approach can provide users access to data of unparalleled resolution, previously unavailable. This methodology works well in environments with clear water, low wave conditions, and distinct visible features on the seafloor. Areas with poor water clarity, high wave conditions, breaking waves, or homogeneous sandy bottoms, are not well suited for this acquisition and processing methodology. Additionally, it is recommended that the sUAS platform selected be capable of acquiring a high accuracy trajectory (e.g., Carrier phase global navigation satellite systems), in order to generate accurate data products. These recommendations, and others introduced in this report are intended to encourage and aide the coastal mapping community in implementation and further advancement of this technique. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1650", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1650", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1650", "url": "https:\/\/hdl.handle.net\/11329\/1650" }, "author": [ { "@type": "Person", "name": "Slocum, R.K." }, { "@type": "Person", "name": "Wright, W." }, { "@type": "Person", "name": "Parrish, C." }, { "@type": "Person", "name": "Costa, B." }, { "@type": "Person", "name": "Sharr, M." } ], "contributor": [ { "@type": "Organization", "name": "NOAA NOS NCCOS" } ], "keywords": [ "Bathymetric data", "Nearshore waters", "Unmanned aircraft systems", "Coastal mapping", "Other physical oceanographic measurements", "cameras", "bathymetric LiDARs", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1937", "name": "Quality Control steps and dataset formats for EMODnet Chemistry Contaminant aggregated datasets, Version 08.04.2021.", "description": " - EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and marine litter. The chemicals chosen are relevant for the Marine Strategy Framework Directive (MSFD). Parameter names are based on P01, BODC Parameter Usage Vocabulary, which is available at: http:\/\/seadatanet.maris2.nl\/bandit\/browse_step.php. Each measurement value has a quality flag indicator, based on the standard SeaDataNet scheme (L20 SEADATANET MEASURAND QUALIFIER FLAGS1 ). This document describes the steps of data and metadata validation needed to achieve the standardised, harmonised and validated datasets concerning contaminants in the marine environment, in water, sediment and biota matrices. EMODnet Chemistry is focused on the parameter groups listed in the table below. The links between P36 (Terms based on the EU MSFD used by the EMODNET chemistry lot to provide coarse granularity groupings of the chemical parameters it covers) and P02 (terms describing fine-grained related groups of measurement phenomena designed to be used in dataset discovery interfaces) are in the process of revision as more experience is gained in the field. The updated links are available here: http:\/\/vocab.nerc.ac.uk\/collection\/P36\/current\/ - , - European Commission - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1937", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1937", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1937", "url": "https:\/\/hdl.handle.net\/11329\/1937" }, "author": [ { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Molina Jack, Maria Eugenia" }, { "@type": "Person", "name": "Giorgetti, Alessandra" }, { "@type": "Person", "name": "Buga, L." }, { "@type": "Person", "name": "Wesslander, K." }, { "@type": "Person", "name": "Gatti, J." }, { "@type": "Person", "name": "\u00d8strem, A. K." }, { "@type": "Person", "name": "Iona, A." }, { "@type": "Person", "name": "Tsompanou, M." }, { "@type": "Person", "name": "Larsen, Martin M" }, { "@type": "Person", "name": "Schlitzer, R." } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Chemistry" } ], "keywords": [ "Contaminants", "Chemical oceanography", "Data processing", "Data quality management", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1750", "name": "Continuous Harmonics Analysis of Sea Level Measurements: Description of a new method to determine sea level measurement tidal component.", "description": " - Removing the tidal component from sea level measurement in the case of Tropical Cyclones or Tsunami is very important to distinguish the tide contribution from the one of the Natural events. The report describes the methodology used by JRC in the de-tiding process and that is used for thousands of sea level measurement signals collected in the JRC Sea Level Database - , - European Union JRC - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface height - , - Mature - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1750", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1750", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1750", "url": "https:\/\/hdl.handle.net\/11329\/1750" }, "author": [ { "@type": "Person", "name": "Annunziato, Alessandro" }, { "@type": "Person", "name": "Probst, Pamela" } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Detiding", "Sea level", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1724", "name": "Future Vision for Autonomous Ocean Observations.", "description": " - Autonomous platforms already make observations over a wide range of temporal and spatial scales, measuring salinity, temperature, nitrate, pressure, oxygen, biomass, and many other parameters. However, the observations are not comprehensive. Future autonomous systems need to be more affordable, more modular, more capable and easier to operate. Creative new types of platforms and new compact, low power, calibrated and stable sensors are under development to expand autonomous observations. Communications and recharging need bandwidth and power which can be supplied by standardized docking stations. In situ power generation will also extend endurance for many types of autonomous platforms, particularly autonomous surface vehicles. Standardized communications will improve ease of use, interoperability, and enable coordinated behaviors. Improved autonomy and communications will enable adaptive networks of autonomous platforms. Improvements in autonomy will have three aspects: hardware, control, and operations. As sensors and platforms have more onboard processing capability and energy capacity, more measurements become possible. Control systems and software will have the capability to address more complex states and sophisticated reactions to sensor inputs, which allows the platform to handle a wider variety of circumstances without direct operator control. Operational autonomy is increased by reducing operating costs. To maximize the potential of autonomous observations, new standards and best practices are needed. In some applications, focus on common platforms and volume purchases could lead to significant cost reductions. Cost reductions could enable order-of-magnitude increases in platform operations and increase sampling resolution for a given level of investment. Energy harvesting technologies should be integral to the system design, for sensors, platforms, vehicles, and docking stations. Connections are needed between the marine energy and ocean observing communities to coordinate among funding sources, researchers, and end users. Regional teams should work with global organizations such as IOC\/GOOS in governance development. International networks such as emerging glider operations (EGO) should also provide a forum for addressing governance. Networks of multiple vehicles can improve operational efficiencies and transform operational patterns. There is a need to develop operational architectures at regional and global scales to provide a backbone for active networking of autonomous platforms. - , - 14.a - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1724", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1724", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1724", "url": "https:\/\/hdl.handle.net\/11329\/1724" }, "author": [ { "@type": "Person", "name": "Whitt, Christopher" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Polagye, Brian" }, { "@type": "Person", "name": "Caimi, Frank" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Copping, Andrea" }, { "@type": "Person", "name": "Spence, Heather" }, { "@type": "Person", "name": "Madhusudhana, Shyam" }, { "@type": "Person", "name": "Kirkwood, William" }, { "@type": "Person", "name": "Grosjean, Ludovic" }, { "@type": "Person", "name": "Fiaz, Bilal Muhammad" }, { "@type": "Person", "name": "Singh, Satinder" }, { "@type": "Person", "name": "Sen Gupta, Ananya" }, { "@type": "Person", "name": "Singh, Sikandra" }, { "@type": "Person", "name": "Manalang, Dana" }, { "@type": "Person", "name": "Gupta, Ananya Sen" }, { "@type": "Person", "name": "Maguer, Alain" }, { "@type": "Person", "name": "Buck, Justin J. H." }, { "@type": "Person", "name": "Marouchos, Andreas" }, { "@type": "Person", "name": "Atmanand, Malayath Aravindakshan" }, { "@type": "Person", "name": "Venkatesan, Ramasamy" }, { "@type": "Person", "name": "Narayanaswamy, Vedachalam" }, { "@type": "Person", "name": "Testor, Pierre" }, { "@type": "Person", "name": "Douglas, Elizabeth" }, { "@type": "Person", "name": "de Halleux, Sebastien" }, { "@type": "Person", "name": "Khalsa, Siri Jodha" } ], "keywords": [ "Autonomous vehicles", "Remotely Operated Vehicle", "Autonomous platforms", "OceanObs19", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1077", "name": "Standardised protocol for monitoring microplastics in seawater. Deliverable 4.1.", "description": " - Microplastic litter is an omnipresent pollutant in marine systems across the globe; spread out from the water surface to benthic sediments. Furthermore, the current trend of microplastic accumulation in the marine environment will enable these particles to remain there for centuries to come, due to their persistence. Nevertheless, the impact of plastic particles on aquatic ecosystems is far from being understood. The consequences are estimated to be severe as microplastics can accumulate persistent organic pollutants from the environment and release toxic additives into the environment, which might pose a threat to marine organisms upon ingestion. Although microplastics are recognised as a contaminant of emerging concern in the environment, currently neither sampling, extraction, purification nor identification approaches are standardised, making microplastic studies difficult to compare, if at all, possible. Harmonization of protocols for determination of plastic particles is urgently needed in order to overcome this gap. The JPI-Oceans BASEMAN project is an interdisciplinary and international collaborative research project that aims to overcome this problem and to undertake a profound and detailed comparison and evaluation of all approaches from sampling to identification of microplastics. The two overall goals of the project are the \u201cThe validation and harmonisation of analytical methods\u201d which is indispensable for the \u201cIdentification and quantification of MP\u201d. The BASEMAN project will try to answer questions like the abundance and distribution of microplastics in the environment. For this purpose, tools and operational measures will be proposed so that they allow evaluation Member States\u2019 compliance with existing and future monitoring requirements. This document regards microplastic sampling, processing and analysis for surface and water column seawater samples. - , - Published - , - Contributors to the report: Ana Filgueiras*, Jesus Gago*, Maria Luiza Pedrotti*, Giuseppe Suaria, Valentina Tirelli, Jos\u00e9 Andrade, Jo\u00e3o Frias*, R\u00f3is\u00edn Nash, Ian O\u2019Connor, Clara Lopes, Miguel Caetano*, Joana Raimundo, Olga Carretero, Luc\u00eda Vi\u00f1as, Joana Antunes, Filipa Bessa, Paula Sobral, Alenka Goruppi, Stefano Aliani, Luca Palazzo, Giuseppe Andrea de Lucia, Andrea Camedda, Soledad Muniategui, Gloria Grueiro, Veronica Fernandez, Gunnar Gerdts. - , - Refereed - , - Current - , - 14.1 - , - Pilot or Demonstrated - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1077", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1077", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1077", "url": "https:\/\/hdl.handle.net\/11329\/1077" }, "author": [ { "@type": "Person", "name": "Gago, Jesus" }, { "@type": "Person", "name": "Filgueiras, Ana" }, { "@type": "Person", "name": "Pedrotti, Maria Luiza" }, { "@type": "Person", "name": "Caetano, Miguel" }, { "@type": "Person", "name": "Frias, Jo\u00e3o" } ], "contributor": [ { "@type": "Organization", "name": "JPI-Oceans BASEMAN Project" } ], "keywords": [ "Plastic debris" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/814", "name": "Performance Verification Statement for the TURNER Designs CYCLOPS-7 fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the Turner Designs CYCLOPS-7 fluorometer evaluated in the laboratory and under diverse field conditions in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.turnerdesigns.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/814", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/814", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/814", "url": "https:\/\/hdl.handle.net\/11329\/814" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2197", "name": "Impacts of Oil Spills on Arctic Marine Ecosystems: A Quantitative and Probabilistic Risk Assessment Perspective.", "description": " - Oil spills resulting from maritime accidents pose a poorly understood risk to the Arctic environment. We propose a novel probabilistic method to quantitatively assess these risks. Our method accounts for spatiotemporally varying population distributions, the spreading of oil, and seasonally varying species-specific exposure potential and sensitivity to oil. It quantifies risk with explicit uncertainty estimates, enables one to compare risks over large geographic areas, and produces information on a meaningful scale for decision-making. We demonstrate the method by assessing the short-term risks oil spills pose to polar bears, ringed seals, and walrus in the Kara Sea, the western part of the Northern Sea Route. The risks differ considerably between species, spatial locations, and seasons. Our results support current aspirations to ban heavy fuel oil in the Arctic but show that we should not underestimate the risks of lighter oils either, as these oils can pollute larger areas than heavier ones. Our results also highlight the importance of spatially explicit season-specific oil spill risk assessment in the Arctic and that environmental variability and the lack of data are a major source of uncertainty related to the oil spill impacts. - , - Refereed - , - 14.1 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2197", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2197", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2197", "url": "https:\/\/hdl.handle.net\/11329\/2197" }, "author": [ { "@type": "Person", "name": "Helle, Inari" }, { "@type": "Person", "name": "Makinen, Jussi" }, { "@type": "Person", "name": "Nevalainen, Maisa" }, { "@type": "Person", "name": "Afenyo, Mawuli" }, { "@type": "Person", "name": "Vanhatalo, Jamb" } ], "keywords": [ "Sea ice", "Human activity", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/677", "name": "Monitoring organotins in marine biota.", "description": " - These guidelines provide best practices for the measurement of organotin compounds in biota for monitoring programmes. Target compounds include tributyltin (TBT), dibutyltin (DBT), and monobutyltin (MBT) as well as triphenyltin (TPhT), diphenyltin (DPhT), and monophenyltin (MPhT). The bivalve Mytilus edulis can be a suitable target species for the monitoring of organotins. Sampling strategy as well as transportation and storage are important for the final quality of the data. Handling and pretreatment of the samples is also discussed. Several analytical methods can be used for the determination of organotin compounds. Critical steps, such as extraction and derivatization of the determinants, are discussed, followed by descriptions of the analytical detection techniques. Emphasis is placed on analytical quality control and quality assurance. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/677", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/677", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/677", "url": "https:\/\/hdl.handle.net\/11329\/677" }, "author": [ { "@type": "Person", "name": "Monteyne, E." }, { "@type": "Person", "name": "Strand, J." }, { "@type": "Person", "name": "Vorkamp, K." }, { "@type": "Person", "name": "Bersuder, P." }, { "@type": "Person", "name": "Bolam, T." }, { "@type": "Person", "name": "Giltrap, M." }, { "@type": "Person", "name": "McGovern, E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/853", "name": "Microzooplankton, the missing link in Finnish plankton monitoring programs.", "description": " - Finnish plankton monitoring is divided into phytoplankton and mesozooplankton sampling. Using the phytoplankton protocol, we included all organisms identified in samples from the Baltic Sea during spring (n = 125). The plankton was converted to carbon, and including all microscopy derived carbon (MDC), increased the carbon content by 22%, on average, compared with only phytoplankton. Particulate organic carbon (POC) and chlorophyll a (Chl a) were also measured, and the general relationship between MDC and POC was: slope = 1.04, intercept = 240 \u00b5g POC l\u20131, R2 = 0.66; for phytoplankton to Chl a: 0.037g Chl a (g MDC)\u20131, R2 = 0.68. Our results demonstrate that a variable fraction of the plankton biomass is not recorded in the monitoring programs. Most of the unaccounted biomass was ciliates, which constituted 14.1% \u00b1 3.7% (mean \u00b1 maximum error) of the plankton biomass. Based on the results we recommend including microzooplankton in the existing phytoplankton monitoring program. - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/853", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/853", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/853", "url": "https:\/\/hdl.handle.net\/11329\/853" }, "author": [ { "@type": "Person", "name": "Lipsewers, T." }, { "@type": "Person", "name": "Spilling, K." } ], "keywords": [ "Sampling protocols", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/684", "name": "Determination of CYP1A-dependent mono-oxygenase activity in dab by fluorimetric measurement of EROD activity in S9 or microsomal liver fractions.", "description": " - This paper describes a method for the determination of cytochrome P4501A (CYP1A) in fish liver fractions by the measurement of 7-ethoxyresorufin O-deethylase (EROD) activity. The proposed method is by fluorescent assay of resorufin using internal standardization. The method is specifically for measurements made in dab (Limanda limanda L.), but is suitable for adaptation to other species. The principle of the method, the sampling requirements, the assay procedures and the reporting of the results are described. Sources of error and quality control procedures are also specified. The document is a modification of a 1998 publication to allow measurement of EROD activity from both S9 and microsomal fractions to be undertaken. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/684", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/684", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/684", "url": "https:\/\/hdl.handle.net\/11329\/684" }, "author": [ { "@type": "Person", "name": "Stagg, Ron" }, { "@type": "Person", "name": "McIntosh, Alistair" }, { "@type": "Person", "name": "Gubbins, Matthew J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1984", "name": "UArctic Research Infrastructure Catalogue. [Database Online]", "description": " - The UArctic Research Infrastructure Catalogue is an online database for searching and identifying research infrastructures and facilities of UArctic member institutions. Listing your facilities helps increase your institution's visibility in the international scientific community, raise awareness about your capacities, and create potential for collaboration and efficient use of research infrastructures. - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1984", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1984", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1984", "url": "https:\/\/hdl.handle.net\/11329\/1984" }, "keywords": [ "Research infrastructures", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2333", "name": "D2.1: Upgraded guidelines for data pre-processing and population of metadata. Technical report.", "description": " - The first phase of the project is dedicated to gathering new bathymetric data sets such as survey data sets, composite DTMs, and Satellite Derived Bathymetry (also considered as composite DTMs) by all data providers. The data providers should populate all new data sets in the Catalogue services, namely survey data sets in the SeaDataNet based CDI Data Discovery & Access service and the composite DTMs in the Sextant CPRD Catalogue service. Once populated in these Catalogues, the data providers are requested to pre-process and grid the new data sets using the GLOBE software and following the EMODnet standards. These data sets, at least at a resolution of 1\/32 arc minute grid, should be transferred by data providers to Regional Coordinators. The generation of Regional DTMs is divided over regional sea basin subgroups, each with a Regional Coordinator and a number of contributing data providers. Each Regional Coordinator will be responsible for a quality assessment and selection of the data contributions and the compilation of the Regional DTM using the GLOBE software. This process will start end February 2022 when all data providers have finalized their data gathering and population activities for the CDI and CPRD catalogues and will have undertaken pre-processing and gridding of their data sets for delivery as DTMs to the regional coordinators. In a later stage, the data providers also have to gather HR-DTMs which they have to enter in the Sextant HR-DTM Catalogue service. - , - EASME\/EMFF\/2019\/1.3.1.9\/Lot1\/SI2.836043 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2333", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2333", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2333", "url": "https:\/\/hdl.handle.net\/11329\/2333" }, "author": [ { "@type": "Person", "name": "Pertuisot, Cecile" } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Bathymetry" } ], "keywords": [ "Bathymetric data", "Metadata management", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/797", "name": "Performance Verification Statement for the AQUATEC AQUAlogger 210TY Turbidity Probe.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ turbidity sensors. Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of the amount of suspended material. Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies to define turbidity in very specific terms based on optical methods of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as a relative measure of suspended sediment concentration. As described below in more detail, field tests that examine manufacturers\u2019 turbidity values against simultaneously determined measurements of transmissivity, total suspended solids, and particulate organic carbon were designed only to examine an instrument\u2019s ability to track changes in water clarity through time and NOT to determine how well the instrument\u2019s values directly correlated with the ancillary measurements. The use of turbidity sensors to estimate a specific parameter (such as TSS) in nature requires local calibration to take into account many factors including particle composition, size and shape, along with other any other light scattering influences from dissolved organic compounds. In this Verification Statement, we present the performance results of the AQUATEC AQUAlogger 210TY Turbidity Probe evaluated in the laboratory and under diverse environmental conditions in moored field tests. A total of seven different field sites were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance - , - Published - , - Refereed - , - Current - , - Particular matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/797", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/797", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/797", "url": "https:\/\/hdl.handle.net\/11329\/797" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Scianni, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2473", "name": "HELCOM Monitoring Programme Litter. Programme: Macrolitter characteristics and abundance-volume-floating litter.", "description": " - Monitoring is to be carried out to fulfill assessment requirements of HELCOM ecological objectives that are specified through HELCOM core indicators. The requirements on monitoring can include number of stations, the sampling frequency and replication. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2473", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2473", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2473", "url": "https:\/\/hdl.handle.net\/11329\/2473" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Marine Strategy Framework Directive (MSFD)", "Monitoring protocols", "Floating litter", "Macrolitter", "Monitoring guidelines", "Anthropogenic contamination", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2015", "name": "Guidelines for sampling and determination of phosphate.", "description": " - Phosphate is in many cases in the Baltic Sea the limiting factor for phytoplankton growth. Monitoring of phosphate levels is essential for evaluation of the effects of eutrophication. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic phosphorus\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/phosphorus-dip. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2015", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2015", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2015", "url": "https:\/\/hdl.handle.net\/11329\/2015" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Dissolved Inorganic Phosporous", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2517", "name": "ISO 20236:2018. Water quality \u2014 Determination of total organic carbon (TOC), dissolved organic carbon (DOC), total bound nitrogen (TNb) and dissolved bound nitrogen (DNb) after high temperature catalytic oxidative combustion. Edition 1. [to be replaced by ISO\/FDIS 20236:2023]", "description": " - TO BE REPLACED BY ISO\/FDIS 20236 IN 2023 ---------This document specifies a method for the determination of total organic carbon (TOC), dissolved organic carbon (DOC), total bound nitrogen (TNb) and dissolved bound nitrogen (DNb) in the form of free ammonia, ammonium, nitrite, nitrate and organic compounds capable of conversion to nitrogen oxides under the conditions described. The procedure is carried out instrumentally. NOTE Generally the method can be applied for the determination of total carbon (TC) and total inorganic carbon (TIC), see Annex A. The method is applicable to water samples (e.g. drinking water, raw water, ground water, surface water, sea water, waste water, leachates). The method allows a determination of TOC and DOC \u2265 1 mg\/l and TNb and DNb \u2265 1 mg\/l. The upper working range is restricted by instrument-dependent conditions (e.g. injection volume). Higher concentrations can be determined after appropriate dilution of the sample. For samples containing volatile organic compounds (e.g. industrial waste water), the difference method is used, see Annex A. Cyanide, cyanate and particles of elemental carbon (soot), when present in the sample, can be determined together with the organic carbon. The method is not appropriate for the determination of volatile, or purgeable, organic carbon under the conditions described by this method. Dissolved nitrogen gas (N2) is not determined. - , - Published - , - Refereed - , - Current - , - 14.a - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2517", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2517", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2517", "url": "https:\/\/hdl.handle.net\/11329\/2517" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Total organic carbon", "Dissolved organic carbon", "Total bound nitrogen", "Dissolved bound nitrogen", "Carbon, nitrogen and phosphorus", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/742", "name": "Performance Verification Statement for XYLEM EXO2 Sonde Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et.al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the results of the Xylem EXO2 which measures DO optically based on quenching of a luminescent dye. Instrument accuracy and precision for the EXO2 DO sensor was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the EXO2 and reference measurement for the nine trials ranged from -0.053 to 0.429 mg\/L. There was a noticeable increase in the magnitude of the differences across salinity trials with means of -0.01, 0.10, and 0.35 mg\/L for salinities of 0, 10, and 35, respectively. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.002 \u2013 0.013 mg\/L across trials with an overall average of 0.004 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.016 \u2013 0.264 percent across trials with an overall average of 0.062%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The overall mean of the difference between EXO2 and reference measurements was 0.001 (\u00b1 0.326) mg\/L for 68 of the potential 75 sample comparisons. A low power fault in the sonde resulted in no data for the final three days of the test. There was no significant trend (slope = -0.0007 mg\/L\/d) in accuracy over time that would indicate performance drift; however the magnitude of offset clearly increased after approximately 30 days. A functional response time test was conducted by examining instrument response when rapidly transitioning between adjacent high (9.6 mg\/L) and low (2.0 mg\/L) DO water baths, maintained commonly at 15 oC. The calculated \u03c490 was 36 s during high to low transitions and 26 s for low to high transitions covering a DO range of approximately 8 mg\/L at a constant 15 oC. However we caution that the sensor was programmed to record at 10 s intervals instead of its highest possible frequency of 1 s, and that may slightly affect the calculated response time. At Houghton, MI the field test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The EXO2 operated successfully throughout the entire 5week deployment and generated 9859 observations based on its 15 minute sampling interval for a data completion result of 100%. The measured DO range from our 142 discrete reference samples was 10.249 to 14.007 compared to the full dynamic range of 9.01 to 14.03 mg\/L observed by the EXO2. The average and standard deviation of the measurement difference between the EXO2 and reference samples over the total deployment was 0.37 \u00b10.10 mg\/L with a total range of -0.06 to 0.56 mg\/L. A drift rate in accuracy, estimated by linear regression (r2=0.85) of the difference across time, was 0.009 mg\/L\/d. This rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.98; p<0.0001) produced a slope of 0.747 and intercept of 3.64 resulting from a rapid change in response accuracy during the first few weeks. At Chesapeake Biological Lab, the field test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The measured DO range from our 142 discrete reference samples was 4.37 \u2013 10.86 mg\/L compared to the broader dynamic range of 3.11 \u2013 14.85 mg\/L reported by the EXO2 over its 6027 accepted observations. The sonde had two brief periods of interruption on July 8th and July 12th, and then quit operating permanently on July 31st for a data completion result of 83% of expected. The average and standard deviation of the measurement difference between the EXO2 and reference samples over the total deployment was 0.15 \u00b10.22 mg\/L with a total range of -0.69 to 0.79 mg\/L. There was no significant trend in accuracy over time (slope = 0.0007 mg\/L\/d; r2 = 0.002) over the deployment. At Kaneohe Bay, HI the field test was conducted over 121 days with a mean temperature and salinity of 25.8 and 33.4 oC. The EXO2 operated successfully throughout the deployment and generated 5653 observations conducted continuously at 30 minute intervals for a data completion result of 100%. The measured DO range from our 142 discrete reference samples was 3.63 \u2013 9.85 mg\/L compared to the broader dynamic range of 1.97 \u2013 10.50 mg\/L observed by the EXO2. The average and standard deviation of the measurement difference between the EXO2 and reference samples over the total deployment was -0.10 \u00b10.23 mg\/L with a total range of -1.39 to 1.08 mg\/L. There was no significant drift in instrument offset (slope = 0.00017 mg\/L\/d; r2 = 0.0008) throughout the deployment period. Overall, the EXO2 response showed good linearity across all three salinity ranges including fresh, brackish, and oceanic water, covering an ambient DO range of 4 \u2013 14 mg\/L. There was however a slightly higher offset for the cold freshwater test in Houghton, MI, and the overall variability was slightly higher for the oceanic test in Kaneohe Bay. The EXO2 was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience transitions from surface waters into both normoxic and hypoxic hypolimnion. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the third sample, the rosette was quickly profiled into the hypolimnion where samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. Note for Muskegon Lake cast 1 was aborted due to bottle misfires and repeated as cast 3. In Muskegon Lake, the EXO2 exhibited a negative bias in the colder, low DO hypolimnion and a positive bias in the warm, high DO surface. Sensor uilibration time was slightly greater going from surface to hypolimnetic conditions. The range in measurement differences between instrument and reference was -0.13 to 0.18 mg\/L for cast 2 and -0.28 to 0.23 mg\/L for cast 3. In Lake Michigan, the EXO2 exhibited a positive bias in both portions of the water column but the magnitude was higher in the cold high DO hypolimnion. Sensor equilibration time was similar between both trials, whether equilibrated at surface or depth. The range in measurement differences between instrument and reference was -0.32 to -0.03 mg\/L for cast 1 and -0.20 to 0.11 mg\/L for cast 2. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/742", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/742", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/742", "url": "https:\/\/hdl.handle.net\/11329\/742" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1667", "name": "ISUS Nitrate sensor.", "description": " - Since November 2004, a Satlantic ISUS nitrate sensor has been integrated with a Seabird 911+ CTD-Rosette system deployed on CalCOFI cruises. Cruises typically occupy 75 stations, collecting approximately 1400 discrete seawater samples throughout the water column. The discrete seawater samples are analyzed at-sea for nitrate, nitrite, silicate, phosphate and ammonia within 24 hours of collection. The ISUS voltage data are processed along with other sensor data using Seabird\u2019s SBE Data Processing Suite. Processed CTD-ISUS data are merged with bottle data. The ISUS voltages are plotted versus corresponding nitrate data, generating a voltage-to-nitrate regression. These regression coefficients are applied to all ISUS voltages, converting voltages to estimated nitrate. - , - Published - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1667", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1667", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1667", "url": "https:\/\/hdl.handle.net\/11329\/1667" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Nutrients", "CTD", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/349", "name": "Method for Salinity (Conductivity Ratio) Measurement.", "description": " - The method described here is a modification of th e technique described by Stalcup (1991). Salinities for tens of thousands of samples were measured by the method during the WHP revisit cruises of the R\/V Mirai . The method is one of the best methods which provide excellent precision onboard. The precision of this method inferred from re peat runs on standard seawater (SSW) of the International Association for the Physical Sciences of the Ocean (IAPSO) during the cruises was about 0.00001 for double conductivity ratio. - , - Published - , - In The GO-SHIP Repeat Hydrography Manual: a Collection of Expert Reports and Guidelines, Version 1. - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/349", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/349", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/349", "url": "https:\/\/hdl.handle.net\/11329\/349" }, "author": [ { "@type": "Person", "name": "Kawano, Takeshi" } ], "keywords": [ "Salinity measurement", "Standard seawater", "GO-SHIP", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1747", "name": "Motus wave buoys, WP002-Oct2018 White Paper. Data Validation for the Motus Directional Wave Buoys, one year of data collection.", "description": " - The development of the Aanderaa MOTUS Wave Buoys was motivated by the need to provide a cost-effective solution for real-time environmental monitoring from the sea surface. Navigational buoys designed for environmental monitoring are usually not optimized for wave measurement. To solve this, Aanderaa Data Instruments has developed the MOTUS Wave Sensor, a compact, highly accurate, low power accelerometer-based sensor. This document is a complement of the 2017 MOTUS white paper and describes the exceptional ability of two standard navigational and environmental buoys equipped with MOTUS Wave Sensors to provide accurate directional wave and currents data in all kinds of weather and sea conditions. - , - Published - , - Current - , - 14.a - , - Sea state - , - Mature - , - Multi-organisational - , - Wave sensor - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1747", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1747", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1747", "url": "https:\/\/hdl.handle.net\/11329\/1747" }, "author": [ { "@type": "Person", "name": "Dorgeville, Emilie" }, { "@type": "Person", "name": "Tholo, Harald" }, { "@type": "Person", "name": "Tengberg, Anders" } ], "contributor": [ { "@type": "Organization", "name": "Aanderaa Data Instruments AS" } ], "keywords": [ "Directional wave buoys", "Marhoff Project", "Waves", "wave recorders", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/926", "name": "Adding Oxygen to Argo: Developing a Global In Situ Observatory for Ocean Deoxygenation and Biogeochemistry.", "description": " - We propose to add dissolved oxygen sensors to the Argo (Global array of free-drifting profiling floats)float program in order to determine, on a global-scale, seasonal to decadal time-scale variations in dissolved oxygen concentrations throughout the upper ocean. Such observations are especially important to document the ocean\u2019s expected loss of oxygen as a result of ocean warming, but there are many other benefits including the opportunity to estimate net community and export production, the assessment of changes in low oxygen regions, and improved estimates of theoceanic uptake of anthropogenic CO2. The proposed joint Argo-Oxygen program is made possible by the recent development of dissolved oxygen sensors that are both precise and stable over extended periods and can be easily integrated with the currently usedArgo floats. Results from the more than 200 oxygen equipped Argo float have not only demonstrated the feasibility of the program, but also produced already many insights and discoveries. Achieving the main goal of the Argo-Oxygen program does not require any appreciable changes in the deployment and operating strategies of the current Argo program and can therefore be implemented without a significant impact on Argo\u2019s core mission. A two-phase implementation is proposed, consisting of a small set of regional pilot-studies, followed by a build-up toward a global implementation. The cost of adding oxygen sensors to all floats of the Argo program is estimated to be about USD 4.2 million per year. The proposed Argo-Oxygen program will add substantial value to Argo by expanding the number of Argo data users, as well as by creating new synergies between the physical and the biogeochemical ocean research communities. The new observations will also contribute to the activities of various international networks and partnerships for Earth Observing Systems. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/926", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/926", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/926", "url": "https:\/\/hdl.handle.net\/11329\/926" }, "author": [ { "@type": "Person", "name": "Gruber, Nicolas" }, { "@type": "Person", "name": "Doney, Scott C." }, { "@type": "Person", "name": "Emerson, Steven R." }, { "@type": "Person", "name": "Gilbert, Denis" }, { "@type": "Person", "name": "Kobayashi, Taiyo" }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" }, { "@type": "Person", "name": "Johnson, Gregory C." }, { "@type": "Person", "name": "Johnson, Kenneth S." }, { "@type": "Person", "name": "Riser, Stephen C." }, { "@type": "Person", "name": "Ulloa, Osvaldo" } ], "contributor": [ { "@type": "Organization", "name": "European Space Agency" } ], "keywords": [ "Dissolved oxygen", "Argo floats", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2488", "name": "ISO 21650:2007. Actions from waves and currents on coastal structures.", "description": " - ISO 21650:2007 describes the principles of determining the wave and current actions on structures of the following types in the coastal zone and estuaries: breakwaters: rubble mound breakwaters; vertical and composite breakwaters; wave screens; floating breakwaters; coastal dykes; seawalls; cylindrical structures (jetties, dolphins, lighthouses, pipelines etc.). ISO 21650:2007 does not include breakwater layout for harbours, layout of structures to manage sediment transport, scour and beach stability or the response of flexible dynamic structures, except vortex induced vibrations. Design will be performed at different levels of detail: concepts; feasibility; detailed design. ISO 21650:2007 is aimed at serving the detailed design. --- ISO 21650 was prepared by Technical Committee ISO\/TC 98, Bases for design of structures, Subcommittee SC 3, Loads, forces and other actions., - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea state - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2488", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2488", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2488", "url": "https:\/\/hdl.handle.net\/11329\/2488" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Coastal defences", "Design", "Breakwaters", "Sea walls", "Coastal dykes", "Cylindrical structures", "Coastal zone", "Estuaries", "Coastal structures", "Waves", "Currents" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/922", "name": "Towards Chip-Based Salinity Measurements for Small Submersibles and Biologgers.", "description": " - Water\u2019s salinity plays an important role in the environment. It can be determined by measuring conductivity, temperature, and depth (CTD). The corresponding sensor systems are commonly large and cumbersome. Here, a 7.5 \u00d7 3.5 mm chip, containing microstructured CTD sensor elements, has been developed. On this, 1.5 mm2 gold finger electrodes are used to measure the impedance, and thereby the conductivity of water, in the MHz frequency range. Operation at these frequencies resulted in higher sensitivities than those at sub-MHz frequencies. Up to 14 k\u03a9 per parts per thousand salt concentration was obtained repeatedly for freshwater concentrations. This was three orders of magnitude higher than that obtained for concentrations in and above the brackish range. A platinum electrode is used to determine a set ambient temperature with an accuracy of 0.005\u2218 C. Membranes with Nichrome strain gauges responded to a pressure change of 1 bar with a change in resistance of up to 0.21 \u03a9. A linear fit to data over 7 bars gave a sensitivity of 0.1185 \u03a9\/bar with an R2 of 0.9964. This indicates that the described device can be used in size-limited applications, like miniaturized submersibles, or as a bio-logger on marine animals. - , - Refereed - , - Sea surface salinity - , - Subsurface salinity - , - TRL 4 Component\/subsystem validation in laboratory environment - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/922", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/922", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/922", "url": "https:\/\/hdl.handle.net\/11329\/922" }, "author": [ { "@type": "Person", "name": "Jonsson, Jonas" }, { "@type": "Person", "name": "Smedfors, Katarina" }, { "@type": "Person", "name": "Nyholm, Leif" }, { "@type": "Person", "name": "Thornell, Greger" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/175", "name": "International catalogue of ocean data stations. Amendment No. 1, February 1976", "description": " - Published - , - Data station, Catalogue - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/175", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/175", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/175", "url": "https:\/\/hdl.handle.net\/11329\/175" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanographic data", "Data transmission", "Data collections", "Data storage", "Data acquisition", "Data storage", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1086", "name": "Best practice recommendations for the use of external telemetry devices on pinnipeds.", "description": " - Pinnipeds spend large portions of their lives at sea, submerged, or hauled-out on land, often on remote off-shore islands. This fundamentally limits access by researchers to critical parts of pinniped life history and has spurred the development and implementation of a variety of externally attached telemetry devices (ETDs) to collect information about movement patterns, physiology and ecology of marine animals when they cannot be directly observed. ETDs are less invasive and easier to apply than implanted internal devices, making them more widely used. However, ETDs have limited retention times and their use may result in negative short- and long-term consequences including capture myopathy, impacts to energetics, behavior, and entanglement risk. We identify 15 best practice recommendations for the use of ETDs with pinnipeds that address experimental justification, animal capture, tag design, tag attachment, effects assessments, preparation, and reporting. Continued improvement of best practices is critical within the framework of the Three Rs (Reduction, Refinement, Replacement); these best practice recommendations provide current guidance to mitigate known potential negative outcomes for individuals and local populations. These recommendations were developed specifically for pinnipeds; however, they may also be applicable to studies of other marine taxa. We conclude with four desired future directions for the use of ETDs in technology development, validation studies, experimental designs and data sharing. - , - Refereed - , - 14 - , - Marine turtles, birds, mammals abundance and distribution - , - Guide - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1086", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1086", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1086", "url": "https:\/\/hdl.handle.net\/11329\/1086" }, "author": [ { "@type": "Person", "name": "Horning, Markus" }, { "@type": "Person", "name": "Andrews, Russel D." }, { "@type": "Person", "name": "Bishop, Amanda M." }, { "@type": "Person", "name": "Boveng, Peter L." }, { "@type": "Person", "name": "Costa, Daniel P." }, { "@type": "Person", "name": "Crocker, Daniel E." }, { "@type": "Person", "name": "Haulena, Martin" }, { "@type": "Person", "name": "Hindell, Mark" }, { "@type": "Person", "name": "Hindle, Allyson G." }, { "@type": "Person", "name": "Holser, Rachel R." }, { "@type": "Person", "name": "Hooker, Sascha K." }, { "@type": "Person", "name": "H\u00fcckst\u00e4d, Luis A." }, { "@type": "Person", "name": "Johnson, Shawn" }, { "@type": "Person", "name": "Lea, Mary\u2011Anne" }, { "@type": "Person", "name": "McDonald, Birgitte I." }, { "@type": "Person", "name": "McMahon, Clive R." }, { "@type": "Person", "name": "Robinson, Patrick W." }, { "@type": "Person", "name": "Sattler, Renae L." }, { "@type": "Person", "name": "Shuer, Courtney R." }, { "@type": "Person", "name": "Steingass, Sheanna M." }, { "@type": "Person", "name": "Thompson, Dave" }, { "@type": "Person", "name": "Tuomi, Pamela A." }, { "@type": "Person", "name": "Williams, Cassondra L." }, { "@type": "Person", "name": "Womble, Jamie N." } ], "keywords": [ "Biotelemtry", "Animal tracking", "Animal tagging", "Animal welfare", "Reduction", "Refinement", "Replacement", "Parameter Discipline::Biological oceanography::Birds, mammals and reptiles", "Instrument Type Vocabulary::acoustic tracking systems", "Instrument Type Vocabulary::tracking tags", "Biologging" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1472", "name": "Tracks in the Snow \u2013 Advantage of Combining Optical Methods to Characterize Marine Particles and Aggregates.", "description": " - Settling marine aggregates, such as zooplankton fecal pellets and marine snow, transport organic matter from the surface ocean to the deep sea and are largely responsible for the ocean\u2019s sequestration of carbon. However, our understanding of the functioning of the biological pump and the distribution of particulate organic matter in the water column often hinge on limited bulk data from sediment traps, large volume filtration or instantaneous snap-shots from in situ optical systems that only see a small part of the particle and aggregate spectra. We evaluated the added value of combining different optical systems to detect a range of organic and inorganic particle types during a case-study in the Cape Blanc upwelling region. Laboratory calibrations showed that one camera system detected large organic aggregates well and in situ data showed that it correlated positively with fluorescence. The other camera was better at detecting small, mainly inorganic particles which were not seen by the first camera and correlated positively with turbidity. The combined deployments of the two optical systems together with fluorescence and turbidity sensors showed potentials for added insights into spatial (depth) and temporal (diurnal) particle dynamics. The case study exemplified the different efficiencies of two camera systems to detect particles of different types in marine waters. From this, the results highlighted the importance of discriminating between qualitative and quantitative ranges of imaging systems, in order to understand the quantitative range of sizes as well as types of particles detected by a given system. This is especially important when optical systems are used to estimate carbon fluxes and particulate organic matter distribution in the water column from vertical profiles of particle size-distribution and abundance. - , - Refereed - , - 14.A - , - Particulate matter - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1472", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1472", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1472", "url": "https:\/\/hdl.handle.net\/11329\/1472" }, "author": [ { "@type": "Person", "name": "Markussen, Thor N." }, { "@type": "Person", "name": "Konrad, Christian" }, { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Becker, Marius" }, { "@type": "Person", "name": "Fischer, Gerhard" }, { "@type": "Person", "name": "Iversen, Morten H." } ], "keywords": [ "Optical systems", "Particle and aggregate dynamics", "Marine snow", "Fecal pellets", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1648", "name": "Application of the Coastal and Marine Ecological Classification Standard (CMECS) to Deep-Sea Benthic Surveys in the Northeast Pacific: Lessons from Field Tests in 2015.", "description": " - The Coastal and Marine Ecological Classification Standard (CMECS) is a comprehensive, standard terminology published in 2014. The standard is intended to unify habitat classification efforts, in order to allow for broader integration and comparison of data. The standard is well-developed, and has been implemented in some regions, but CMECS not been tested extensively in the deep sea. NOAA has set a milestone to adopt recommended best practices and standards, such as CMECS, within NOAA's Integrated Ocean and Coastal Mapping Program, since 2013 (NOC 2013), so there is a timely need for guidance directed toward the deep-sea research community about how to apply this standardized methodology. This report summarizes the findings from a short-term research project that engaged field teams during three deep-sea benthic surveys in the US Pacific in 2015, including telepresence-enabled cruises in Southern California and Hawaii. The researchers conducted post-cruise analyses to process images from surveys aboard NOAA Ship Okeanos Explorer, E\/V Nautilus from Ocean Exploration Trust (OET), and R\/V Shearwater from the NOAA Office of National Marine Sanctuaries (NMS). Thirty-two remotely operated vehicle (ROV) dives and more than 6,400 still images were analyzed using a simple CMECS annotation. The report considered three of the four CMECS components geoform, water column, and substrate. The biotic component was not reported here, this was reserved for separate study. Biotic units can be derived from species diversity and abundance but the quantification of these categories is evolving and needs refinement. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Validated (tested by third parties) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1648", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1648", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1648", "url": "https:\/\/hdl.handle.net\/11329\/1648" }, "author": [ { "@type": "Person", "name": "Bassett, R.D." }, { "@type": "Person", "name": "Finkbeiner, M." }, { "@type": "Person", "name": "Etnoyer, P.J." } ], "contributor": [ { "@type": "Organization", "name": "NOAA National Ocean Service" } ], "keywords": [ "Deep sea ecology", "Habitat", "Standards", "Benthos", "CMECS", "Biota composition", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/238", "name": "ICES Data Guidelines for Shipboard ADCP data. (Compiled May 1999; revised April 2006)", "description": " - ADCPs (acoustic doppler current profiler) were first introduced to the oceanography community in the late 1970s (Rowe and Young, 1979). The instrument measures water veloc ity over a range of depths using doppler shifts in active acoustic signals. ADCPs may be moored on a traditional oceanographic mooring (see moored ADCP guidelines) or attached to the bottom of a ship (these guidelines apply). Different data management req uirements exist for the two configurations - , - Published - , - Subsurface currents - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/238", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/238", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/238", "url": "https:\/\/hdl.handle.net\/11329\/238" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Acoustic doppler current profiler", "Shipboard profilers", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1988", "name": "R\/V Dr. Fridtjof Nansen Video Series: Checking for leaks in a CTD rosette water sampler. [Training Video]", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, these videos are part of a series of videos that support the descriptions provided in the Rosette water sampling R\/V Dr. Fridtjof Nansen protocol about the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. These particular videos provide a description of how to check for leaks on a CTD rosette bottle before collecting any sample. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - Subsurface salinity - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - N\/A - , - Chlorophyll-a - , - Seabird 911plus CTD - , - SBE 32 Carousel - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1988", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1988", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1988", "url": "https:\/\/hdl.handle.net\/11329\/1988" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research (Norway) for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "CTD", "Rosette bottle", "Water sampling", "Training video", "Dissolved gases", "Nutrients", "Chemical oceanography", "Carbonate system", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1428", "name": "Strategisk n\u00e6ringsplan for Svalbard. Version 2.0.", "description": " - Meld. St. 32 - Svalbardmeldinga - sl\u00e5r fast at de overordnede m\u00e5lene for norsk Svalbardpolitikk ligger fast. Dette inneb\u00e6rer at et av de viktigste hovedm\u00e5lene er opprettholdelse av levedyktig og robust norsk familiesamfunn, f\u00f8rst og fremst i Longyearbyen. Dette har ogs\u00e5 v\u00e6rt et hovedm\u00e5l eller en \u00abvisjon\u00bb for arbeidet med n\u00e6ringsplanen.Longyearbyen har de siste tre ti\u00e5rene hatt vekst med dobling av folketall (2.152 personer i Longyearbyen og Ny-\u00c5lesund per 1. juli 2016) og det er bygd et velfungerende og aktivt lokalsamfunn. For \u00e5 fortsatt kunne v\u00e6re det sentrale stedet p\u00e5 Svalbard, vil det v\u00e6re en forutsetning at man klarer \u00e5 holde p\u00e5 en \u00abkritisk masse\u00bb av mennesker som kan bidra til \u00f8kt og utvidet driftsgrunnlag for offentlig og privat tjenesteyting, noe som igjen virker positivt inn p\u00e5 bokvalitet og bolyst.Mulighetene i Arktis er mange, men det er ogs\u00e5 utfordringer ved \u00e5 finne en b\u00e6rekraftig utvikling som ivaretar s\u00e5rbare omr\u00e5der. N\u00e6ringsliv og forvaltning m\u00e5 tilsammen balansere \u00f8konomisk og \u00f8kologisk b\u00e6rekraft. Det ligger betydelige muligheter i videreutvikling av eksisterende og nye offentlig og private virksomheter. Det er av stor betydning at satsinger bidrar til bofast sysselsetting, noe som er avgj\u00f8rende for \u00e5 bygge et levedyktig lokalsamfunn.Foreliggende oppdaterte n\u00e6ringsplan, versjon 2.0, er oppdatert spesielt p\u00e5 grunn av utviklinga i Store Norske siden 2014, nye utredninger og meldinger som er kommet samt \u00f8kt interesse for marine satsinger. Handlingsplanen er ogs\u00e5 ny.Kulldriften har gjennom de senere \u00e5r f\u00e5tt redusert betydning for svalbardsamfunnet av flere \u00e5rsaker. Store Norske har nedskalert fra 400 \u00e5rsverk (2012) til ca. 100 \u00e5rsverk ved inngangen til 2016. Det er innf\u00f8rt driftshvile i Svea og Lunckefjell er satt p\u00e5 vent. Det antas \u00e5 v\u00e6re muligheter for annen mineralutvinning enn kull p\u00e5 Svalbard, i tillegg til \u00abseabed mining\u00bb p\u00e5 og under havbunnen i omr\u00e5dene rundt \u00f8ygruppen. Dette m\u00e5 utredes n\u00e6rmere og det m\u00e5 gis forutsigbare rammebetingelser for \u00e5 utvikle slik virksomhet.Reiselivsn\u00e6ringen vokser som f\u00f8lge av langsiktig arbeid med produkt- og markedsutvikling for \u00e5 tilby kvalitativt gode opplevelser og reiselivsprodukter til definerte m\u00e5lgrupper. I dag sysselsetter n\u00e6ringen rundt 300 \u00e5rsverk. Sesongvariasjoner gir utfordringer for drift og sysselsetting, og n\u00e6ringen er konjunkturutsatt. I arbeidet med masterplanen for reiselivet har man arbeidet etter en ambisjon hvor vekstpotensialet kan gi en tredobling av dagens aktivitet. Dette vil kreve utbygging av overnattingskapasitet, aktivitets- og opplevelsestilbud.Forskning og utdanning har blitt et stort virksomhetsomr\u00e5de med \u00f8kende andel bofast sysselsetting og inng\u00e5r som en sentral basisvirksomhet p\u00e5 Svalbard. Det arbeider ca. 240 personer i sektoren i 2016, en \u00f8kning fra ca. 200 \u00e5rsverk i 2012. Ytterligere vekst er en uttrykt og \u00f8nsket utvikling i planer og stortingsmelding, og m\u00e5 f\u00f8lges opp videre i budsjetter og prioriteringer. Det planlegges for ytterligere vekst i antall ansatte og studenter ved UNIS, herunder tilpassinger i faglig innretning. Longyearbyen har en sv\u00e6rt gunstig geografisk beliggenhet som gir et fortrinn i h\u00e5ndtering av logistikk og st\u00f8ttefunksjoner pga. godt utbygd infrastruktur. N\u00e6ringsut\u00f8velse og milj\u00f8vern har konfliktflater som det hittil har v\u00e6rt mulig \u00e5 finne l\u00f8sninger p\u00e5. Langsiktighet, forutsigbarhet og tilgang til arealer er avgj\u00f8rende rammebetingelser for investerings- og etableringsbeslutninger. Dette er s\u00e6rlig viktig for drift p\u00e5 naturressursbaserte n\u00e6ringer fordi klimatiske utfordringer og avstandsulemper i tillegg representerer merkostnader. Offentlig sektor er etter hvert stor p\u00e5 Svalbard n\u00e5r man regner inn forskning, undervisning, lokalstyre, statlige arbeidsplasser og myndigheter (ca. 54% ansatt i offentlig sektor i 2015 inkl. offentlige foretak, if\u00f8lge SSB). Offentlige arbeidsplasser er stabile og forutsigbarheten er ofte st\u00f8rre enn i privat sektor, noe som har betydning i et lite lokalsamfunn. Foreliggende n\u00e6ringsplan vektlegger i sterkere grad enn den forrige, betydningen av gode rammebetingelser som samfunnsmessig infrastruktur, samferdsel, energiforsyning, handlingsrom og forutsigbarhet i plan- og lovverk, m.m. Norske myndigheter har til n\u00e5 v\u00e6rt avventende med \u00e5 initiere endringer i rammebetingelser for ny n\u00e6ringsvirksomhet. Det er et politisk handlingsrom i Svalbardpolitikken som kan fylles med mer innhold. Blant annet kan det v\u00e6re et gunstig tidspunkt \u00e5 stille sp\u00f8rsm\u00e5l ved om alle statlige investeringer i transportinfrastruktur, kommunikasjon og samfunnsmessig infrastruktur skal underlegges alminnelige l\u00f8nnsomhetskrav. Det er knyttet b\u00e5de langsiktige og strategiske interesser til eierskap av infrastruktur. Det har v\u00e6rt f\u00e5 konfliktsaker i Svalbardpolitikken de siste ti\u00e5rene. De senere \u00e5rene har man sett noe mer geopolitisk bevegelse, kanskje s\u00e6rlig fra \u00f8st hvor Russland styrker sin posisjon i nord. Et omr\u00e5de hvor det er klare forventninger b\u00e5de fra norske og utenlandske akt\u00f8rer er at norske myndigheter tar n\u00f8dvendige grep er f.eks. p\u00e5 forskriftsendringer som trengs for f\u00f8rsteh\u00e5ndsomsetning av fangst og \u00e5pning for eventuell ny verdiskaping lokalt p\u00e5 Svalbard basert p\u00e5 fisk, skalldyr og marine ressurser.I n\u00e6ringsplanen har mulighetsrom de neste ti\u00e5rene v\u00e6rt fokusert. Svalbard kan potensielt f\u00e5 trafikk og ringvirkninger av olje- og gassvirksomheten, men det vil ta noe tid. Klimaendringer kan \u00e5pne nye seilingsruter i Arktis og over Polhavet, og har ogs\u00e5 medf\u00f8rt \u00f8kt interesse for klimaforskning. Svalbards beliggenhet og godt utbygde infrastruktur gj\u00f8r at \u00f8ygruppen er den naturlige inngangsporten til Arktis. Dette gj\u00f8r ogs\u00e5 Svalbard attraktiv for bygging av antenner for nedlasting av satellittdata og forretningsomr\u00e5det har ytterligere vekstpotensial.N\u00e6ringsforeningen ser behov for at N\u00e6rings- og fiskeridepartementet gir sterkere styringssignaler for Store Norske. N\u00e6ringsplanen legger til grunn at kulldrift skal kunne gjenopptas p\u00e5 en b\u00e6rekraftig og l\u00f8nnsom m\u00e5te.Svalbard N\u00e6ringsforening ser gode muligheter for en positiv utvikling. Ved inngangen til 2016 ble det produsert 1631 \u00e5rsverk i Longyearbyen og Ny-\u00c5lesund (til sammenlikning 750 \u00e5rsverk i 1993). Det er skissert mulighetsomr\u00e5der og vekstanslag innenfor eksisterende og nye n\u00e6ringer som i h\u00f8yt scenario kan gi en tilvekst p\u00e5 opp mot 400 arbeidsplasser. Av disse m\u00e5 anslagsvis 200 \u00e5rsverk komme som erstatning for nedskaleringen i gruveindustrien. Netto \u00f8kning fra 2015 betinger at det tas aktive grep. Svalbard N\u00e6ringsforening ser at det er behov for en offensiv og handlekraftig oppf\u00f8lging av de tiltak som er foresl\u00e5tt i planen. - , - Published - , - Meld. St. 32 - Svalbardmeldinga - sl\u00e5r fast at de overordnede m\u00e5lene for norsk Svalbardpolitikk ligger fast. Dette inneb\u00e6rer at et av de viktigste hovedm\u00e5lene er opprettholdelse av levedyktig og robust norsk familiesamfunn, f\u00f8rst og fremst i Longyearbyen. Dette har ogs\u00e5 v\u00e6rt et hovedm\u00e5l eller en \u00abvisjon\u00bb for arbeidet med n\u00e6ringsplanen.Longyearbyen har de siste tre ti\u00e5rene hatt vekst med dobling av folketall (2.152 personer i Longyearbyen og Ny-\u00c5lesund per 1. juli 2016) og det er bygd et velfungerende og aktivt lokalsamfunn. For \u00e5 fortsatt kunne v\u00e6re det sentrale stedet p\u00e5 Svalbard, vil det v\u00e6re en forutsetning at man klarer \u00e5 holde p\u00e5 en \u00abkritisk masse\u00bb av mennesker som kan bidra til \u00f8kt og utvidet driftsgrunnlag for offentlig og privat tjenesteyting, noe som igjen virker positivt inn p\u00e5 bokvalitet og bolyst.Mulighetene i Arktis er mange, men det er ogs\u00e5 utfordringer ved \u00e5 finne en b\u00e6rekraftig utvikling som ivaretar s\u00e5rbare omr\u00e5der. N\u00e6ringsliv og forvaltning m\u00e5 tilsammen balansere \u00f8konomisk og \u00f8kologisk b\u00e6rekraft. Det ligger betydelige muligheter i videreutvikling av eksisterende og nye offentlig og private virksomheter. Det er av stor betydning at satsinger bidrar til bofast sysselsetting, noe som er avgj\u00f8rende for \u00e5 bygge et levedyktig lokalsamfunn.Foreliggende oppdaterte n\u00e6ringsplan, versjon 2.0, er oppdatert spesielt p\u00e5 grunn av utviklinga i Store Norske siden 2014, nye utredninger og meldinger som er kommet samt \u00f8kt interesse for marine satsinger. Handlingsplanen er ogs\u00e5 ny.Kulldriften har gjennom de senere \u00e5r f\u00e5tt redusert betydning for svalbardsamfunnet av flere \u00e5rsaker. Store Norske har nedskalert fra 400 \u00e5rsverk (2012) til ca. 100 \u00e5rsverk ved inngangen til 2016. Det er innf\u00f8rt driftshvile i Svea og Lunckefjell er satt p\u00e5 vent. Det antas \u00e5 v\u00e6re muligheter for annen mineralutvinning enn kull p\u00e5 Svalbard, i tillegg til \u00abseabed mining\u00bb p\u00e5 og under havbunnen i omr\u00e5dene rundt \u00f8ygruppen. Dette m\u00e5 utredes n\u00e6rmere og det m\u00e5 gis forutsigbare rammebetingelser for \u00e5 utvikle slik virksomhet.Reiselivsn\u00e6ringen vokser som f\u00f8lge av langsiktig arbeid med produkt- og markedsutvikling for \u00e5 tilby kvalitativt gode opplevelser og reiselivsprodukter til definerte m\u00e5lgrupper. I dag sysselsetter n\u00e6ringen rundt 300 \u00e5rsverk. Sesongvariasjoner gir utfordringer for drift og sysselsetting, og n\u00e6ringen er konjunkturutsatt. I arbeidet med masterplanen for reiselivet har man arbeidet etter en ambisjon hvor vekstpotensialet kan gi en tredobling av dagens aktivitet. Dette vil kreve utbygging av overnattingskapasitet, aktivitets- og opplevelsestilbud.Forskning og utdanning har blitt et stort virksomhetsomr\u00e5de med \u00f8kende andel bofast sysselsetting og inng\u00e5r som en sentral basisvirksomhet p\u00e5 Svalbard. Det arbeider ca. 240 personer i sektoren i 2016, en \u00f8kning fra ca. 200 \u00e5rsverk i 2012. Ytterligere vekst er en uttrykt og \u00f8nsket utvikling i planer og stortingsmelding, og m\u00e5 f\u00f8lges opp videre i budsjetter og prioriteringer. Det planlegges for ytterligere vekst i antall ansatte og studenter ved UNIS, herunder tilpassinger i faglig innretning. Longyearbyen har en sv\u00e6rt gunstig geografisk beliggenhet som gir et fortrinn i h\u00e5ndtering av logistikk og st\u00f8ttefunksjoner pga. godt utbygd infrastruktur. N\u00e6ringsut\u00f8velse og milj\u00f8vern har konfliktflater som det hittil har v\u00e6rt mulig \u00e5 finne l\u00f8sninger p\u00e5. Langsiktighet, forutsigbarhet og tilgang til arealer er avgj\u00f8rende rammebetingelser for investerings- og etableringsbeslutninger. Dette er s\u00e6rlig viktig for drift p\u00e5 naturressursbaserte n\u00e6ringer fordi klimatiske utfordringer og avstandsulemper i tillegg representerer merkostnader. Offentlig sektor er etter hvert stor p\u00e5 Svalbard n\u00e5r man regner inn forskning, undervisning, lokalstyre, statlige arbeidsplasser og myndigheter (ca. 54% ansatt i offentlig sektor i 2015 inkl. offentlige foretak, if\u00f8lge SSB). Offentlige arbeidsplasser er stabile og forutsigbarheten er ofte st\u00f8rre enn i privat sektor, noe som har betydning i et lite lokalsamfunn. Foreliggende n\u00e6ringsplan vektlegger i sterkere grad enn den forrige, betydningen av gode rammebetingelser som samfunnsmessig infrastruktur, samferdsel, energiforsyning, handlingsrom og forutsigbarhet i plan- og lovverk, m.m. Norske myndigheter har til n\u00e5 v\u00e6rt avventende med \u00e5 initiere endringer i rammebetingelser for ny n\u00e6ringsvirksomhet. Det er et politisk handlingsrom i Svalbardpolitikken som kan fylles med mer innhold. Blant annet kan det v\u00e6re et gunstig tidspunkt \u00e5 stille sp\u00f8rsm\u00e5l ved om alle statlige investeringer i transportinfrastruktur, kommunikasjon og samfunnsmessig infrastruktur skal underlegges alminnelige l\u00f8nnsomhetskrav. Det er knyttet b\u00e5de langsiktige og strategiske interesser til eierskap av infrastruktur. Det har v\u00e6rt f\u00e5 konfliktsaker i Svalbardpolitikken de siste ti\u00e5rene. De senere \u00e5rene har man sett noe mer geopolitisk bevegelse, kanskje s\u00e6rlig fra \u00f8st hvor Russland styrker sin posisjon i nord. Et omr\u00e5de hvor det er klare forventninger b\u00e5de fra norske og utenlandske akt\u00f8rer er at norske myndigheter tar n\u00f8dvendige grep er f.eks. p\u00e5 forskriftsendringer som trengs for f\u00f8rsteh\u00e5ndsomsetning av fangst og \u00e5pning for eventuell ny verdiskaping lokalt p\u00e5 Svalbard basert p\u00e5 fisk, skalldyr og marine ressurser.I n\u00e6ringsplanen har mulighetsrom de neste ti\u00e5rene v\u00e6rt fokusert. Svalbard kan potensielt f\u00e5 trafikk og ringvirkninger av olje- og gassvirksomheten, men det vil ta noe tid. Klimaendringer kan \u00e5pne nye seilingsruter i Arktis og over Polhavet, og har ogs\u00e5 medf\u00f8rt \u00f8kt interesse for klimaforskning. Svalbards beliggenhet og godt utbygde infrastruktur gj\u00f8r at \u00f8ygruppen er den naturlige inngangsporten til Arktis. Dette gj\u00f8r ogs\u00e5 Svalbard attraktiv for bygging av antenner for nedlasting av satellittdata og forretningsomr\u00e5det har ytterligere vekstpotensial.N\u00e6ringsforeningen ser behov for at N\u00e6rings- og fiskeridepartementet gir sterkere styringssignaler for Store Norske. N\u00e6ringsplanen legger til grunn at kulldrift skal kunne gjenopptas p\u00e5 en b\u00e6rekraftig og l\u00f8nnsom m\u00e5te.Svalbard N\u00e6ringsforening ser gode muligheter for en positiv utvikling. Ved inngangen til 2016 ble det produsert 1631 \u00e5rsverk i Longyearbyen og Ny-\u00c5lesund (til sammenlikning 750 \u00e5rsverk i 1993). Det er skissert mulighetsomr\u00e5der og vekstanslag innenfor eksisterende og nye n\u00e6ringer som i h\u00f8yt scenario kan gi en tilvekst p\u00e5 opp mot 400 arbeidsplasser. Av disse m\u00e5 anslagsvis 200 \u00e5rsverk komme som erstatning for nedskaleringen i gruveindustrien. Netto \u00f8kning fra 2015 betinger at det tas aktive grep. Svalbard N\u00e6ringsforening ser at det er behov for en offensiv og handlekraftig oppf\u00f8lging av de tiltak som er foresl\u00e5tt i planen. - , - Current - , - 8 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1428", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1428", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1428", "url": "https:\/\/hdl.handle.net\/11329\/1428" }, "author": [ { "@type": "Person", "name": "Grimstad, Hilde" }, { "@type": "Person", "name": "Andreassen, Tore" } ], "contributor": [ { "@type": "Organization", "name": "Multiconsult" } ], "keywords": [ "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2048.2", "name": "SISP 10 - Manual for the International Bottom Trawl Surveys. Revision 11.", "description": " - Series of ICES Survey Protocols SISP - IBTS X | 1 1 Introduction Overview of the survey The International Bottom Trawl Survey (IBTS) in the North Sea has been conducted in the 1st quarter of the year since the beginning of the 1960s. The survey was first aimed at juvenile herring in the central and southern North Sea, but then the objectives of the survey were broadened to also provide recruitment indices for gadoids. The survey area was extended towards the northern North Sea and the Skagerrak\/Kattegat in the 1980s. From 1991 to 1996, surveys were also conducted in the 2nd, 3rd, and 4th quarters, but since 1997, only the 1st and 3rd quarter surveys continued. The current extent of the surveys can be seen in Figures A1.1 and A1.2 in Annex 1. The GOV trawl (chalut \u00e0 Grande Ouverture Verticale) was introduced as the standard gear and the gear rigging and fishing method were standardized. However, some countries continued to use gears other than the GOV in the 3rd quarter IBTS until 1998. February is the target month for the Q1 survey, where Denmark, France, Germany, Netherlands, Norway, UK Scotland, and Sweden participates. The target month for the Q3 survey is August, with Denmark, Germany, Sweden, Norway, UK England, and UK Scotland as participants - , - Published - , - Refereed - , - Current - , - 14.a - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2048.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2048.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2048.2", "url": "https:\/\/hdl.handle.net\/11329\/2048.2" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fish surveys", "Bottom trawl", "Fish", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/849", "name": "Joint Approaches and Best Practices - an Integrated and Coherent EU Arctic Policy in Support of Articles 208 and 214 UNCLOS.", "description": " - Key principles of international environmental law have gradually been integrated into the European Treaties, above all, into the Treaty on the Functioning of the European Union (TFEU) itself.1 In order to focus on the Arctic relevance of some EU legal acts, this first section provides a short overview of internationally accepted legal principles of marine environmental law and the applicable EU law, which is generally more progressive in substance as compared to a number of other legal orders. In a 2016 Joint Communication, the European Commission and the High Representative of the Union for Foreign Affairs and Security Policy reiterated that \u201cthe EU is well placed to shape international ocean governance on the basis of its experience in developing sustainable ocean management\u201d.2 This introductory section shall clarify the kind of \u201cexperience in developing sustainable ocean management\u201d the Joint Communication refers to. Generally, just like in any other regulatory field, the EU applies its own unique legal instruments, in particular, secondary legislation imposed on its Members in accordance with Article 288 TFEU. This legislation takes the form of legally binding Regulations and more flexible Directives to further the EU\u2019s primary policy objectives. For example, in 2005, as part of the EU\u2019s overall \u201cIntegrated Maritime Policy\u201d, the Commission proposed the adoption of a Directive to implement a broad thematic strategy\u2014the Marine Strategy Framework3\u2014 to address marine pollution through a long-term programme of diagnosis and action carried out by competent authorities in the Member States and under European regional seas conventions. The continuously evolving EU Arctic policy is a good example for the inclusion of a global environmental policy dimension in EU instruments as advocated since 2008 by the Marine Strategy Framework Directive, which represents the environmental pillar of the EU\u2019s \u201cIntegrated Maritime Policy\u201d.4 While the Directive does not address specifically the environmental impacts of maritime transport, Arctic matters or other uses of the sea, it has served as a catalyst for governance mechanisms, which, over time, generate new EU actions having direct implications for any marine-related sector. As such, it promotes and applies several internationallyaccepted environmental principles, such as: \u2013 the principle of sustainable development, \u2013 the principle of environmental integration, \u2013 the precautionary principle, \u2013 the polluter pays principle, and \u2013 the ecosystem approach. - , - Published - , - Refereed - , - Current - , - 14.C - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/849", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/849", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/849", "url": "https:\/\/hdl.handle.net\/11329\/849" }, "author": [ { "@type": "Person", "name": "Jessen, Henning" } ], "contributor": [ { "@type": "Organization", "name": "Brill" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1695", "name": "MEDIN data guideline for seismic data. Version 1.4.", "description": " - This guideline is a data archive standard for seismic data. It defines the format of data and information produced from the acquisition of multi (2D, 3D and 4D) and single channel\/sub bottom profiler seismic data for Marine Geophysical survey. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1695", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1695", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1695", "url": "https:\/\/hdl.handle.net\/11329\/1695" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Geology", "Natural Hazards", "Multi channel seismic reflections systems", "Single channel seismic reflection systems", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/430", "name": "Best practices for quality control of sensor based biochemical data. Version 1.3. [Deliverable 5.11].", "description": " - Sensor based observations of biogeochemical data : The number of biogeochemical, BGC, sensors in marine research and monitoring has increased during the last decade. These sensors collect a large amount of data and the importance of metadata and quality control is invaluable when scientist want to use the data from different platforms for research, development or modelling. The need of harmonization in parameters, units etc. for biogeochemical data : To be able to compare biogeochemical parameters measured at different stations and platforms, with different sensor brands and parameter names and units, the metadata has to be harmonized. Parameter names must be comparable for the same parameter and the same units have to be used in order to avoid misunderstandings. The metadata must be added to the data set in order to be able to correlate and analyze the data in the most accurate way. Because of the importance of the metadata, it is therefore suggested that analysis method, latest calibration date and\/or intercalibration and sensor brand are included in the meta data. - , - The JERICO-NEXT project is funded by the European Commission\u2019s H2020 Framework Programme under grant agreement No. 654410 Project coordinator: Ifremer, France - , - Published - , - Refereed - , - Current - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/430", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/430", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/430", "url": "https:\/\/hdl.handle.net\/11329\/430" }, "author": [ { "@type": "Person", "name": "Linders, Johanna" }, { "@type": "Person", "name": "Willstrand Wranne, Anna" }, { "@type": "Person", "name": "Perivoliotis, Leonidas" }, { "@type": "Person", "name": "Gorringe, Patrick" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO-NEXT Project" } ], "keywords": [ "Biogeochemical sensors", "Biogeochemical data", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2213", "name": "A 1-Dimensional Sympagic-Pelagic-Benthic Transport Model (SPBM): Coupled Simulation of Ice, Water Column, and Sediment Biogeochemistry, Suitable for Arctic Applications.", "description": " - Marine biogeochemical processes can strongly interact with processes occurring in adjacent ice and sediments. This is especially likely in areas with shallow water and frequent ice cover, both of which are common in the Arctic. Modeling tools are therefore required to simulate coupled biogeochemical systems in ice, water, and sediment domains. We developed a 1D sympagic-pelagic-benthic transport model (SPBM) which uses input from physical model simulations to describe hydrodynamics and ice growth and modules from the Framework for Aquatic Biogeochemical Models (FABM) to construct a user-defined biogeochemical model. SPBM coupled with a biogeochemical model simulates the processes of vertical diffusion, sinking\/burial, and biogeochemical transformations within and between the three domains. The potential utility of SPBM is demonstrated herein with two test runs using modules from the European regional seas ecosystem model (ERSEM) and the bottom-redox model biogeochemistry (BROM-biogeochemistry). The first run simulates multiple phytoplankton functional groups inhabiting the ice and water domains, while the second simulates detailed redox biogeochemistry in the ice, water, and sediments. SPBM is a flexible tool for integrated simulation of ice, water, and sediment biogeochemistry, and as such may help in producing well-parameterized biogeochemical models for regions with strong sympagic-pelagic-benthic interactions. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2213", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2213", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2213", "url": "https:\/\/hdl.handle.net\/11329\/2213" }, "author": [ { "@type": "Person", "name": "Yakubov, Shamil" }, { "@type": "Person", "name": "Wallhead, Philip" }, { "@type": "Person", "name": "Protsenko, Elizaveta" }, { "@type": "Person", "name": "Yakushev, Evgeniy" }, { "@type": "Person", "name": "Pakhomova, Svetlana" }, { "@type": "Person", "name": "Brix, Holger" } ], "keywords": [ "Biogeochemical modeling", "Sea Ice", "Ocean acidification", "Sediment biogeochemistry", "Phytoplankton simulation", "Transport model", "Chemical oceanography", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/863", "name": "A generic framework for individual-based modelling and physical-biological interaction.", "description": " - The increased availability of high-resolution ocean data globally has enabled more detailed analyses of physical-biological interactions and their consequences to the ecosystem. We present IBMlib, which is a versatile, portable and computationally effective framework for conducting Lagrangian simulations in the marine environment. The purpose of the framework is to handle complex individual-level biological models of organisms, combined with realistic 3D oceanographic model of physics and biogeochemistry describing the environment of the organisms without assumptions about spatial or temporal scales. The opensource framework features a minimal robust interface to facilitate the coupling between individual- level biological models and oceanographic models, and we provide application examples including forward\/backward simulations, habitat connectivity calculations, assessing ocean conditions, comparison of physical circulation models, model ensemble runs and recently posterior Eulerian simulations using the IBMlib framework. We present the code design ideas behind the longevity of the code, our implementation experiences, as well as code performance benchmarking. The framework may contribute substantially to progresses in representing, understanding, predicting and eventually managing marine ecosystems. - , - Refereed - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/863", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/863", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/863", "url": "https:\/\/hdl.handle.net\/11329\/863" }, "author": [ { "@type": "Person", "name": "Christensen, Asbj\u00f8rn" }, { "@type": "Person", "name": "Mariani, Patrizio" }, { "@type": "Person", "name": "Payne, Mark R." } ], "keywords": [ "Coupled ocean circulation model", "Biological-physical modelling", "IBMlib", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/862", "name": "CMAR code of practice for tagging marine animals. Version 1.", "description": " - The Code of Practice (COP) for tagging marine animals consists of a series of Standard Operating Procedures (SOP) detailing the various steps involved when tagging marine animals. Each SOP has an associated date indicating the last time the SOP was revised. Suggestions for revision of any SOP should be directed to the authors. Suggestions will be appended to the COP and incorporated on a schedule as outlined in SOP 9. Improving the quality of tagging protocols is good practice to ensure that techniques and methods are transferrable between staff, across years and across projects. Improving our protocols is also an important component of meeting our obligations under animal welfare legislation and are in-line with the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes (NHMRC 2004). The following protocols have been based upon CSIRO\u2019s Fish Tagging Protocol (Bradford et al. 2007); they are designed to be a living document that will be updated in light of advances in technology and methods. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/862", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/862", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/862", "url": "https:\/\/hdl.handle.net\/11329\/862" }, "author": [ { "@type": "Person", "name": "Bradford, R. W." }, { "@type": "Person", "name": "Hobday, A. J," }, { "@type": "Person", "name": "Evans, K." }, { "@type": "Person", "name": "Lansdell, M." } ], "contributor": [ { "@type": "Organization", "name": "CSIRO Marine and Atmospheric Research" } ], "keywords": [ "Animal tagging", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/971", "name": "Data Identification, Citation and Tracking Best Practices : a white paper from the observatory best practices\/lessons learned series.", "description": " - Data identification and citation are critical for maintaining the standard of reproducibility in science as well as furthering scientific discovery by building off of the works of others. With advances in observation technology and cyberinfrastructure there has been a significant increase in data availability, volume and complexity openly available for scientific research. Often scientists are analysing datasets far too large to be curated by traditional means, i.e. within publications as tables and figures. As such, in order to provide sufficient information for another researcher to be able to access data used in a publication, proper citation of the source of the data and a unique identifier are needed to facilitate traceability back to the data. - , - National Science Foundation - , - Unpublished - , - Non Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/971", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/971", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/971", "url": "https:\/\/hdl.handle.net\/11329\/971" }, "author": [ { "@type": "Person", "name": "Smith, Leslie M" }, { "@type": "Person", "name": "Kearney, Thomas D" }, { "@type": "Person", "name": "Rutherford, Christopher" }, { "@type": "Person", "name": "Yarincik, Kristen" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership" } ], "keywords": [ "Data citation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2296", "name": "Incentivizing More Effective Marine Protected Areas with the Global Ocean Refuge System (GLORES).", "description": " - Healthy oceans are essential to human survival and prosperity, yet oceans are severely impacted worldwide by anthropogenic threats including overfishing, climate change, industrialization, pollution, and habitat destruction. Marine protected areas (MPAs) have been implemented around the world and are effective conservation tools that can mitigate some of these threats and build resilience when designed and managed well. However, despite a rich scientific literature on MPA effectiveness, science is not the main driver behind the design and implementation of many MPAs, leading to variable MPA effectiveness and bias in global MPA representativity. As a result, the marine conservation community focuses on promoting the creation of more MPAs as well as more effective ones, however no structure to improve or accelerate effective MPA implementation currently exists. To safeguard marine ecosystems on a global scale and better monitor progress toward ecosystem protection, robust science-based criteria are needed for evaluating MPAs and synthesizing the extensive and interdisciplinary science on MPA effectiveness. This paper presents a strategic initiative led by Marine Conservation Institute called the Global Ocean Refuge System(GLORES). GLORES aims to set standards to improve the quality of MPAs and catalyze strong protection for at least 30% of the ocean by 2030. Such substantial increase in marine protection is needed to maintain the resilience of marine ecosystems and restore their benefits to people. GLORES provides a comprehensive strategy that employs the rich body of MPA science to scale up existing marine conservation efforts. - , - Refereed - , - 14.a - , - Concept - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2296", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2296", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2296", "url": "https:\/\/hdl.handle.net\/11329\/2296" }, "author": [ { "@type": "Person", "name": "Hameed, Sarah O." }, { "@type": "Person", "name": "Cornick, Leslie A." }, { "@type": "Person", "name": "Devillers, Rodolphe" }, { "@type": "Person", "name": "Morgan, Lance E." } ], "keywords": [ "Marine protected areas (MPA)", "Marine reserves", "Conservation targets", "Ecosystem-based management", "Evaluation criteria", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1178", "name": "Uncertainties in Ocean Colour Remote Sensing", "description": " - This report on \"Uncertainties in Ocean Colour Remote Sensing\" summarizes the state of the knowledge on uncertainties related to ocean colour (OC) products and identifies ideas and recommendations to achieve significant progress on how uncertainties are quantified and distributed. The report starts with a presentation of terminology and concepts (Chapter 2). For a proper use of OC data, it is necessary to be aware of the potential problems and limitations associated with OC remote sensing products, and to identify the sources contributing to their uncertainties, from top-of-atmosphere (TOA) data to gridded products. This report makes a review of these factors (Chapter 3). Even though up to now very few OC products have been distributed with uncertainty estimates, a number of approaches to quantify OC product uncertainties have been proposed in recent years; providing a review of these methods and discussing their respective advantages appear particularly timely (Chapter 4). It is also necessary to discuss how information on uncertainty could be conveyed to user communities (Chapter 5) and to describe example requirements from these communities (Chapter 6). General recommendations are provided in the final chapter (Chapter 7). - , - Published - , - Contributing authors: Emmanuel Boss, Robert J.W. Brewin, Barbara Bulgarelli, Prakash Chauhan, Roland Doerffer, Stephanie Dutkiewicz, David Ford, Bryan A. Franz, Robert Frouin, Martin Hieronymi, Chuanmin Hu, Samuel E. Hunt, Thomas Jackson, Sylvain Jay, Dominique Jolivet, Emlyn Jones, Erdem M. Karakoylu, Hiroshi Kobayashi, Ewa Kwiatkowska, Nicolas Lamquin, Samantha Lavender, St\u00e9phane Maritorena, Victor Martinez-Vicente, Lachlan I.W. McKinna, Fr\u00e9d\u00e9ric M\u00e9lin, Griet Neukermans, Marie-Fanny Racault, Shubha Sathyendranath, Himmatsinh U. Solanki, Gianluca Volpe, Menghua Wang, P. Jeremy Werdell and Guangming Zheng - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1178", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1178", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1178", "url": "https:\/\/hdl.handle.net\/11329\/1178" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/547", "name": "Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation; Volume 1.0. Inherent Optical Property Measurements and Protocols: Absorption Coefficient.", "description": " - Inherent Optical Properties Measurements and Protocols: Absorption Coefficient (v1.0) is a document that serves as a comprehensive overview of calibration, measurement and analysis protocols for the state-of-the-art technologies that measure the absorption of particles in the water or on a filter pad. Chapter 1 provides a detailed overview of the absorption coefficient of pure water, colored dissolved matter and particles along with the current state-of-the-art pure water absorption coefficients, uncertainties and temperature and salinity corrections. Chapters 2\u20134 provide detailed protocols for measuring particles in suspension using the reflective tube absorption meter, the integrating cavity absorption meter, and the point-source integrating cavity absorption meter. Lastly, Chapter 5 describes the most up-to-date methods for the measurement of absorbance and the computation of absorption for particles on a filter pad using the transmittance method, transmittance method with fiber optics, the transmittance-reflectance method and inside an integrating sphere. Chapters 1, 2, and 5 represent updated versions of those found in Ocean Optics Protocols for Satellite Ocean Color Sensor Validation Revision 4, Volume IV (Mitchell et al. 2002). Chapters 3 and 4 are new contributions to the protocol. - , - NASA, IOCCG Sponsoring Agencies - , - Published - , - Contributing Authors: Emmanuel Boss, Eurico J. D\u2019Sa, Scott Freeman, Ed Fry, James L. Mueller, Scott Pegau, Rick A. Reynolds, Collin Roesler, R\u00fcdiger R\u00f6ttgers, Dariusz Stramski, Michael Twardowski and J. Ronald V. Zaneveld - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/547", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/547", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/547", "url": "https:\/\/hdl.handle.net\/11329\/547" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::spectrophotometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/681", "name": "Soft-bottom macrofauna: collection, treatment, and quality assurance of samples.", "description": " - These recommendations are intended to standardize the methods for benthos surveys used by different scientists to increase the comparability of results for different areas. The results of ICES\/HELCOM Quality Assurance workshops, intercalibrations, and ring tests have been incorporated into this set of recommendations to increase the quality, reliability and, therefore, comparability of benthos data before their final evaluation and storage in public databanks. These recommendations are timely, given the increasing number of researchers and institutions that are engaged in sorting and analysing benthos samples. This document covers all steps, from the design of the sampling programme, to considerations of which gear to use, as well as all shipboard methods, such as sampling with grabs, corers, dredges, and trawls. There is no single, standard sampling gear for benthos investigations. The choice of an appropriate sampler depends on the average living depth of the infauna of interest; this depth can range from the uppermost millimetre down to almost 1 m. When analysing the results, possible discrepancies between the penetration depth of the sampler and the actual living depth of the organisms must be considered. The choice of a suitable sampler is a compromise between specific sampling characteristics in different sediment regimes in the area to be sampled, good handling characteristics at sea in bad weather conditions, suitability for various ships, financial limitations, tradition, and scientific questions posed. Criteria for the rejection of samples are identified. Treatment of samples is described in detail, including sieving, transferring of the sample to the sample vessel, fixation, staining, and labelling. Laboratory procedures for sorting, taxonomic identification, and biomass determination are described. A list of items for in\u2010house quality assurance is included, as well as details for a warp\u2010rigged van Veen grab. - , - Published - , - Refereed - , - Current - , - Benthic invertebrate abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/681", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/681", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/681", "url": "https:\/\/hdl.handle.net\/11329\/681" }, "author": [ { "@type": "Person", "name": "Rumohr, Heye" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1465", "name": "Passive Acoustic Monitoring from Fixed Platform Observatories. Deliverable 12.6, FixO3.", "description": " - The development of fixed platform observatories provides an excellent opportunity to measure ocean noise and to acoustically monitor for marine mammals. The addition of passive acoustic monitoring equipment to such a platform observatory contributes to its scientific output and allows the use of these platforms to implement EU directives concerning anthropogenic noise. In general, it is very expensive to deploy acoustic recorders purely for marine mammal or noise monitoring purposes. Taking advantage of existing or planned observatories greatly reduces these deployment costs. The types of platform deployments considered here are fixed or moored platforms, either installed on a cabled platform providing external power and allowing high volume data transfer to shore and complex data processing; installed on a buoy that has the capability to generate e.g. solar or wind power allowing some local processing and possibly data transfer using a radio link; or installed in a battery powered housing where there is no possibility of real-time processing. While this document concentrates on noise and marine mammal monitoring, it should be noted that geoscientists also use acoustic monitoring equipment for geological studies and there may be possibilities of combining \/ sharing infrastructure costs for some types of monitoring. For example Harris et al., 2013, present a study using data from bottom seismometers to study fin whale abundance in the Eastern Atlantic. - , - The work described in this report has received funding from the European Union Seventh framework Programme (FP7\/2007-2013). Grant Agreement Number: 312463 - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean Sound - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1465", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1465", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1465", "url": "https:\/\/hdl.handle.net\/11329\/1465" }, "author": [ { "@type": "Person", "name": "Van der Schaar, Mike" }, { "@type": "Person", "name": "Andre, Michel" }, { "@type": "Person", "name": "Delory. Eric" }, { "@type": "Person", "name": "Gillespie, Doug" }, { "@type": "Person", "name": "Rolin, Jean-Francoise" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for FIXO3" } ], "keywords": [ "Marine mammals", "Animal tracking", "Moorings", "PUCK protocol", "Noise measurements", "Listen to the Deep Ocean Environment (LIDO)", "Cetaceans", "Whales", "Biological noise", "Ambient noise", "Parameter Discipline::Physical oceanography::Acoustics", "Hydrophone", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1847", "name": "Transitional waters North East Atlantic Geographic Intercalibration Group. Benthic invertebrate fauna ecological assessment methods.", "description": " - This report gives a technical description on the intercalibration (IC) process of the different benthic assessment approaches for soft sediment habitats (muds to sands) in transitional waters in the North East Atlantic Geographical Intercalibration Group (NEA-GIG) for type NEA 11 (Transitional Waters). Eight member states are involved: Belgium (BE), France (FR), Germany (DE), Ireland (RoI), the Netherlands (NL), Portugal (PT), Spain (SP), and United Kingdom (UK). In Spain, the competent authorities for the WFD application are the regions, as such, for the benthic macroinvertebrates assessment methods three regions have been considered: Andalusia (SP-An), Basque Country (SP-BC) and Cantabria (SP-C). Those member states proposed 7 approaches for IC: AeTV (DE), BAT (PT), BEQI (BE), BEQI2 (NL), IQI (RoI and UK), M-AMBI (DE and SP-BC), QSB (SP-C) and TAsBeM (SP-An). However, AeTV and BEQI are not intercalibrated as they assess benthic invertebrates at water body and ecosystem level, respectively, whereas the rest of methods assess the benthic status at sample level. - , - European Union - , - Published - , - Current - , - 14.a - , - Invertebrate abundance and distribution - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1847", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1847", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1847", "url": "https:\/\/hdl.handle.net\/11329\/1847" }, "author": [ { "@type": "Person", "name": "Muxika, I." }, { "@type": "Person", "name": "Van Hoey, G." }, { "@type": "Person", "name": "Bonne, W." }, { "@type": "Person", "name": "Salas Herrero, F." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Benthos", "Invertebrates", "Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2199.2", "name": "Sampling protocol for monitoring marine biodiversity on rocky shores. Second Edition.", "description": " - This protocol provides a practical and standardized methodology for characterizing the biodiversity of sessile invertebrates and algae on rocky coasts throughout the Americas. It allows the evaluation of changes through time with the collection of benthic images using photo-quadrants and data analysis with artificial intelligence tools. - , - Published - , - Collaborators: Juan Pablo Livore, Maria Martha Mendez, Roc\u00edo Nieto Vilela, Ariel L.Rodr\u00edguez Albertani, Cecilia Astengo, Diego De Jes\u00fas, Dulce Melania Blanco,Esteban David Tazzioli, Fernando Lima, Rui Sebra, Francisco Nicol\u00e1s Lewis Ferrero,Ian Axl Walker, Leonardo Juber, Mariela del Carmen Gauna, Maria Bel\u00e9n Cuello,Mario Santos Beade, Maximiliano Navarro, Nicol\u00e1s Manterola Touyaa, Rui Seabra,Sim\u00f3n Ignacio Cuminetti, Soledad Diaz Ovejero, Susana Garc\u00eda, Tania Klagges,Ramiro Danilo Tolosa, Susana Garcia, Pablo Luis Sugliano, Erasmo Macaya, Mar\u00eda Bagur, Javiera Constanzo, Cl\u00e1udia Pereira, Claudia Betancourt, Nelson Valdivia, Kai Giancaspero Vilaza, Elo\u00edsa Gim\u00e9nez, Yamila NataliaNohra, Julieta Kaminsky, Matias Delpiani, Gabriela Garraza, Malena Pfoh, Cecilia Alonso, Lu Chiberry, GuillerminaMassaccesi, Luciana Acu\u00f1a, Evelyn Contreras Flores, Juan Alderete Mayorga,Emanuel Mendieta, Lorena Ladux, Agust\u00edn Ramos, Andr\u00e9s Fernandez, Mar\u00eda LauraFlotron, Mar\u00eda Luisa Carranza, Lida E. Pimper, Ignacio Chiesa, Luc\u00eda Rodr\u00edguezPlanes, Francisco Zunino, Marcelo Almir\u00f3n, Alejandro Pfoh, Lautaro Martin, NataliaPaulucci, Juan Martinez, Laura Wolinski y Romina Mansilla. - , - Refereed - , - Este protocolo proporciona una metodolog\u00eda pr\u00e1ctica y estandarizada para la caracterizaci\u00f3n de la biodiversidad de invertebrados s\u00e9siles y algas en costas rocosas de las Am\u00e9ricas. Permite evaluar sus respuestas a cambios ambientales a trav\u00e9s de la recolecci\u00f3n de im\u00e1genes del sustrato rocosos utilizando foto-cuadrantes y an\u00e1lisis de datos con herramientas de inteligencia artificial. - , - Current - , - 14.A - , - Invertebrate abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Community composition - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2199.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2199.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2199.2", "url": "https:\/\/hdl.handle.net\/11329\/2199.2" }, "author": [ { "@type": "Person", "name": "Montes Herrera, Enrique" }, { "@type": "Person", "name": "Bravo, Gonzalo" }, { "@type": "Person", "name": "Bigatti, Gregorio" } ], "contributor": [ { "@type": "Organization", "name": "Marine Biodiversity Observation Network Pole to Pole of the Americas" } ], "keywords": [ "Biodiversity", "Sessile invertebrates", "Benthic assessment method", "Rocky shores", "Biological sampling", "Biota abundance, biomass and diversity", "Parameter Discipline::Biological oceanography::Rock and sediment biota", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2497", "name": "ISO 15769:2010. Hydrometry \u2014 Guidelines for the application of acoustic velocity meters using the Doppler and echo correlation methods. Edition 1. [Reviewed 2021]", "description": " - This International Standard provides guidelines on the principles of operation and the selection and use of Doppler-based and echo correlation velocity meters for continuous-flow gauging. This International Standard is applicable to channel flow determination in open channels and partially filled pipes using one or more meters located at fixed points in the cross-section. NOTE A limitation of the techniques is that measurement is made of the velocity of particles, other reflectors or disturbances. - , - Published - , - Refereed - , - Current - , - 14.A - , - Subsurface currents - , - Surface currents - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2497", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2497", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2497", "url": "https:\/\/hdl.handle.net\/11329\/2497" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Velocity measurement", "Acoustic doppler current profiler (ADCP)", "Echo correlation", "Continuous flow", "Currents", "acoustic velocity systems", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2253", "name": "Uncertainty Quantification in Mooring Cable Dynamics Using Polynomial Chaos Expansions.", "description": " - Mooring systems exhibit high failure rates. This is especially problematic for offshore renewable energy systems, like wave and floating wind, where the mooring system can be an active component and the redundancy in the design must be kept low. Here we investigate how uncertainty in input parameters propagates through the mooring system and affects the design and dynamic response of mooring and floaters. The method used is a nonintrusive surrogate based uncertainty quantification (UQ) approach based on generalized Polynomial Chaos (gPC). We investigate the importance of the added mass, tangential drag, and normal drag coefficient of a catenary mooring cable on the peak tension in the cable. It is found that the normal drag coefficient has the greatest influence. However, the uncertainty in the coefficients plays a minor role for snap loads. Using the same methodology we analyze how deviations in anchor placement impact the dynamics of a floating axi-symmetric point-absorber. It is shown that heave and pitch are largely unaffected but surge and cable tension can be significantly altered. Our results are important towards streamlining the analysis and design of floating structures. Improving the analysis to take into account uncertainties is especially relevant for offshore renewable energy systems where the mooring system is a considerable portion of the investment. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2253", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2253", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2253", "url": "https:\/\/hdl.handle.net\/11329\/2253" }, "author": [ { "@type": "Person", "name": "Moura Paredes, Guilherme" }, { "@type": "Person", "name": "Eskilsson, Claes" }, { "@type": "Person", "name": "Engsig-Karup, Allan P." } ], "keywords": [ "Mooring system dynamics", "Mooring cables", "Floating structure dynamics", "Uncertainty quantification", "Generalized polynomial chaos", "Construction and structures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/603", "name": "Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System.", "description": " - This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS\u00ae) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a crosssection of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3\u20138-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal\u2013academic partnerships benefiting IOOS stakeholders and end users. - , - Refereed - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/603", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/603", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/603", "url": "https:\/\/hdl.handle.net\/11329\/603" }, "author": [ { "@type": "Person", "name": "Wilkin, John" }, { "@type": "Person", "name": "Rosenfeld, Leslie" }, { "@type": "Person", "name": "Allen, Arthur" }, { "@type": "Person", "name": "Baltes, Rebecca" }, { "@type": "Person", "name": "Baptista, Antonio" }, { "@type": "Person", "name": "He, Ruoying" }, { "@type": "Person", "name": "Hogan, Patrick" }, { "@type": "Person", "name": "Kurapov, Alexander" }, { "@type": "Person", "name": "Mehra, Avichal" }, { "@type": "Person", "name": "Quintrell, Josie" }, { "@type": "Person", "name": "Schwab, David" }, { "@type": "Person", "name": "Signell, Richard" }, { "@type": "Person", "name": "Smith, Jane" } ], "keywords": [ "Data assimilation", "Coastal ocean modelling", "Observing systems", "IOOS", "GOOS", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1021", "name": "Handbook of Oceanographic Winch, Wire, and Cable Technology, 3rd edition.", "description": " - This third edition to the Handbook of Oceanographic Winch, Wire and Cable Technology has been prepared to provide a reference and guide for the operation, handling and care of winches, wires, cables and oceanographic rope for the operators and scientists of the oceanographic community. Further references on specific subjects can be found in the various chapters. Since the original writing of this handbook the operators of oceanographic ships have significantly improved the reliability and safety of deck equipment and deck operations. Some credit must be given to this handbook and the increased interest of both the funding agencies and the ship operators in striving for a higher level of operation and maintenance. Periodic review of this manual and symposia similar to the one held in New Orleans in 1999 provide a greater focus and heighten the interest of the oceanographic community to continuous improvements. In the original Handbook the following word of caution was made. It remains germane. It is appropriate to insert a word of caution for the reader who is dealing with the evaluation of a winch and wire system. That caution is that in dealing with a calculated ideal it may not always be possible to achieve that ideal in practice due to the physical restraints that are imposed by research vessel size and configuration. When it becomes necessary to depart from the calculated ideal for one reason or the other, the assessment should be scrutinized carefully in order to define the true operational limits for the equipment at hand. Additionally, problems that manifest themselves in an existing winch and wire system are rarely the result of a single element and are usually the result of several component problems. When problems do arise, the entire system should be evaluated and appropriate corrective or de-rating measures taken. This handbook contains information suitable to initiate a careful review of existing winch systems as well as being useful for the specification of upgrades or new systems. It is the hope of the authors that this handbook will serve as a ready reference for both the oceanographic and commercial communities, now and in the future. - , - Published - , - Current - , - 14 - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Manual - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1021", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1021", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1021", "url": "https:\/\/hdl.handle.net\/11329\/1021" }, "contributor": [ { "@type": "Organization", "name": "National Science Foundation and Office of Naval Research" } ], "keywords": [ "Safety", "Winches", "Cables", "Ropes", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Marine geology", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/909", "name": "Central and Northern California Ocean Observing System (CeNCOOS) Standard Operating Procedures for Instruments and Sensors (High Frequency Radar, Gliders, and in situ observing systems). Revised: January 30, 2017.", "description": " - This document describes the instruments and sensors that CeNCOOS-supported investigators operate. These instruments are supported financially by CeNCOOS or operated in close partnership where CeNCOOS has influence over the operation. The document identifies what, where, and how the instruments are operated and maintained. This document is not intended to be an asset list, nor contain sensor details such as model number or serial number because this information exists elsewhere. The current (12\/2016) asset list provided to IOOS appears as a table at the end. This document does not cover the data flow, curation, QC, or archive. Data flow and curation are described in the CeNCOOS data management plan. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/909", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/909", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/909", "url": "https:\/\/hdl.handle.net\/11329\/909" }, "contributor": [ { "@type": "Organization", "name": "Central and Northern California Ocean Observing System (CeNCOOS)" } ], "keywords": [ "Sensors", "HF Radar", "Ocean glider", "CENCOOS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/384", "name": "Handbook of Methods for the Analysis of Oceanographic Parameters at the CARIACO Time-series Station: Cariaco Time Series Study.", "description": " - The focus of the program \u201cCARIACO Oceanographic Time Series\u201d is the collection of a set of oceanographic, biogeochemical and ecological observations at a specific location (10\u00b0 30'N, 64\u00b0 40'W), in the deepest area of the Eastern basin of the Cariaco Basin, off the coast of Venezuela. The CARIACO program was established in 1995 with the key objective to contribute critical data for monitoring the carbon cycle and biogeochemistry in the seas of the globe, understand the impact of climate change on biodiversity and regional marine ecology, as also supporting research on past climatic changes. Through the collection of long-term ecosystem observations of the Cariaco Basin with data of very high quality at a reasonable time, the scientific community of Venezuela contributes to the knowledge of mankind in these areas, taking scientific advantage of this particular site. CARIACO is one of the three longest oceanographic biogeochemical time series stations established around the world. The other two are the Hawaii Ocean Time-series (HOT; 22\u00b0 45'N, 158\u00b0 00'W) and Bermuda Atlantic Time-series Study (BATS; 31\u00b0 45'N, 64\u00b0 10'W). HOT and BATS serve as platforms for the study of changes in the Pacific and North Atlantic Ocean, respectively, while the CARIACO time series is located in a tropical environment in a continental margin. The scientific achievements of these three stations have encouraged other countries to develop plans to establish similar time series. The region that examines CARIACO is unique for having an annual primary production which doubles approximately production and vertical flow of organic particulate matter observed in the most oligotrophic waters monitored by HOT and BATS. The CARIACO program also offers the opportunity to study the ecosystem along a gradient oxic\/anoxic which lies between 200 and 350 m deep. The Cariaco Basin is also an important place for paleoclimatic studies. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/384", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/384", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/384", "url": "https:\/\/hdl.handle.net\/11329\/384" }, "author": [ { "@type": "Person", "name": "Astor, Yrene M." }, { "@type": "Person", "name": "Fanning, Kent" }, { "@type": "Person", "name": "Guzm\u00e1n, Laurencia" }, { "@type": "Person", "name": "Li, Xiaoni" }, { "@type": "Person", "name": "Lorenzoni, Laura" }, { "@type": "Person", "name": "Masserini, Robert" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Tappa, Eric" }, { "@type": "Person", "name": "Varela, Ram\u00f3n" } ], "contributor": [ { "@type": "Organization", "name": "Fundaci\u00f3n La Salle de Ciencias Naturales" } ], "keywords": [ "GO-SHIP", "Phytoplankton", "Sampling procedures", "Salinity", "Hydrogen sulfide", "Dissolved oxygen", "pH", "Alkalinity", "Spectral absorption coefficients", "Organic matter", "Nitrogen", "Organic carbon", "Chlorophyll a", "Phaeopigments", "Primary production", "Parameter Discipline::Chemical oceanography::Dissolved gases", "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus", "Parameter Discipline::Chemical oceanography::Nutrients", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::continuous water samplers", "Instrument Type Vocabulary::dissolved gas sensors", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2189", "name": "A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign.", "description": " - The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 operated in situ instruments to characterize cloud and aerosol particles as well as trace gases. A detailed overview of the specifications, data processing, and data quality is provided here. It is shown that the scientific analysis of the ACLOUD data benefits from the coordinated operation of both aircraft. By combining the cloud remote sensing techniques operated on Polar 5, the synergy of multi-instrument cloud retrieval is illustrated. The remote sensing methods were validated using truly collocated in situ and remote sensing observations. The data of identical instruments operated on both aircraft were merged to extend the spatial coverage of mean atmospheric quantities and turbulent and radiative flux measurement. Therefore, the data set of the ACLOUD campaign provides comprehensive in situ and remote sensing observations characterizing the cloudy Arctic atmosphere. All processed, calibrated, and validated data are published in the World Data Center PANGAEA as instrument-separated data subsets - , - Refereed - , - Aventech five-hole probe - , - Open-wire Pt100 wind vector and air temperature sensor - , - Honeywell Laseref V inertial navigation system (INS) - , - HUMICAP humidity sensor - , - Spectral Modular Airborne Radiation measurement sysTem (SMART Albedometer) - , - Airborne Imaging Spectrometer for Applications (AISA) Eagle\/Hawk - , - Complementary metal oxide semiconductor (CMOS) image sensor - , - CMP 22 pyranometers - , - CGR4 pyrgeometers - , - Nadir-looking Kelvin infrared radiation Thermometer (KT-19) - , - Frequency Modulated Continuous Wave (FMCW) cloud radar RPG-FMCW-94-SP - , - Microwave Radar\/radiometer for Arctic Clouds (MiRAC) - , - Airborne Mobile Aerosol Lidar (AMALi) system - , - Sun photometer with an active tracking system (SPTA) - , - Advanced Vertical Atmospheric Profiling System (AVAPS) - , - counterflow virtual impactor (CVI) - , - Cloud Droplet Probe (CDP-2) - , - Cloud Imaging Probe (CIP) - , - Precipitation Imaging Probe (PIP) - , - Small Ice Detector Mark 3 (SID-3) - , - Particle Habit Imaging and Polar Scattering probe (PHIPS) - , - Standard Nevzorov heated wire probe - , - Ultra-high sensitivity aerosol spectrometers (UHSAS) - , - Optical particle counter (OPC Grimm 1.129) - , - Single-wavelength particle soot absorption photometer (PSAP) - , - Single-particle soot photometer (SP2) - , - Aircraft-based Laser ABlation Aerosol MAss spectrometer (ALABAMA) - , - Aerolaser ultra-fast CO monitor model AL5002 - , - LI-7200 closed CO2\u2215H2O analyser from LI-COR Biosciences GmbH - , - 2B Technologies Dual Beam Ozone Monitor 205 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2189", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2189", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2189", "url": "https:\/\/hdl.handle.net\/11329\/2189" }, "author": [ { "@type": "Person", "name": "Ehrlich, Andre" }, { "@type": "Person", "name": "Wendisch, Manfred" }, { "@type": "Person", "name": "Luepkes, Christof" }, { "@type": "Person", "name": "Buschmann, Matthias" }, { "@type": "Person", "name": "Bozem, Heiko" }, { "@type": "Person", "name": "Chechin, Dmitry" }, { "@type": "Person", "name": "Clemen, Hans-Christian" }, { "@type": "Person", "name": "Dupuy, Regis" }, { "@type": "Person", "name": "Eppers, Olliver" }, { "@type": "Person", "name": "Hartmann, Joerg" }, { "@type": "Person", "name": "Herber, Andreas" }, { "@type": "Person", "name": "Jaekel, Evelyn" }, { "@type": "Person", "name": "Jarvinen, Emma" }, { "@type": "Person", "name": "Jourdan, Olivier" }, { "@type": "Person", "name": "Kaestner, Udo" }, { "@type": "Person", "name": "Kliesch, Leif-Leonard" }, { "@type": "Person", "name": "Kollner, Franziska" }, { "@type": "Person", "name": "Mech, Mario" }, { "@type": "Person", "name": "Mertes, Stephan" }, { "@type": "Person", "name": "Neuber, Roland" }, { "@type": "Person", "name": "Ruiz-Donoso, Elena" }, { "@type": "Person", "name": "Schnaiter, Martin" }, { "@type": "Person", "name": "Schneider, Johannes" }, { "@type": "Person", "name": "Stapf, Johannes" }, { "@type": "Person", "name": "Zanatta, Marco" } ], "keywords": [ "Meteorology", "Data acquisition", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2056", "name": "Vessel-based ocean monitoring with applications to R\/V Dr Fridtjof Nansen surveys. [TRAINING COURSE]", "description": " - The course has two main objectives: (i) to develop skills among marine environmental scientists participating in the EAF-Nansen Programme to perform onboard duties during surveys concerning the quality control, post-processing and reporting of the physical oceanography data, (ii) to introduce tools that will enable scientists from partner countries to access and use the collected historical time series at their home institutions (e.g. for preparing publications, reports, etc.). - , - 14.a - , - Mature - , - International - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2056", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2056", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2056", "url": "https:\/\/hdl.handle.net\/11329\/2056" }, "keywords": [ "Training course", "Survey data", "R\/V Dr Fridtjof Nansen", "Cross-discipline", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2479", "name": "IWC photo-identification catalogues: draft guidelines.", "description": " - The International Whaling Commission (IWC) has a history of using data and analyses from photo-identification catalogues to assist with its work. (Within this document the term \u2018photo-ID catalogue\u2019 describes a database that includes whale identification photographs with corresponding dates and geographic positions. Photo-identification data have been used to identify patterns of movement, residency, habitat use, population structure and to estimate abundance and other population parameters (e.g. Bradford et al., 2008; Calambokidis et al., 2009; Carroll et al., 2011; Koski et al., 2010; Wedekin, et al., 2010; Whitehead et al., 2008; see also Rep. int. Whal. Commn., Special Issue 12, 1990). Recognising the great value of such studies (e.g. IWC, 1990), the IWC has supported the development of photoidentification catalogues to facilitate assessment work (e.g. Southern Hemisphere humpback whales, Southern Hemisphere blue whales and Pacific gray whales). Such catalogues can also assist in providing information on entanglement, ship strikes and health status. The IWC has supported (financially or by submitting photographs from IWC cruises) what can broadly be considered two types of photo-identification catalogues: (1) \u2018independent\u2019 catalogues that are pertinent to specific on-going assessments but for which maintenance and control belongs outside the IWC; and (2) \u2018repository\u2019 catalogues that have IWC oversight. Repository catalogues are supported for the general value of their data and potential use for assessment in the future whether or not they are currently being used by the IWC in an on-going assessment (e.g. the Antarctic Humpback Whale Catalogue). Catalogues can move from one status to another during the progress of assessments. In repository status, catalogue holders need only submit an annual report (see reporting, below). For an on-going assessment, the data requested may include full catalogues, re-sighting records, and possibly additional, associated data (behaviour, sex, age class, etc.). In this case, if an independent catalogue has received funding it would provide a summary report in addition to the contributed data. - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2479", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2479", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2479", "url": "https:\/\/hdl.handle.net\/11329\/2479" }, "contributor": [ { "@type": "Organization", "name": "International Whaling Commission" } ], "keywords": [ "Photoidentification", "Photo-Identification", "Whales", "Digital imagery", "Birds, mammals and reptiles", "Underwater photography", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1453", "name": "Fishing operations. 3. Best practices to improve safety at sea in the fisheries sector.", "description": " - Article 6, paragraph 6.17, of the Code of Conduct for Responsible Fisheries recognizes that \u201cStates should ensure that fishing facilities and equipment, as well as all fishing activities, allow for safe, healthy and fair working conditions and meet internationally agreed standards adopted by relevant international organizations\u201d. Consequently, following directions from the Food and Agriculture Organization (FAO) Committee on Fisheries, the three principle relevant international organizations, FAO, the International Labour Organization (ILO) and the International Maritime Organization (IMO), have cooperated in the development of mandatory and voluntary instruments, as well as guidelines for their implementation. Such cooperation was crucial in the revision of Parts A and B of the FAO\/ILO\/IMO Code of Safety for Fishermen and Fishing Vessels, as well as the in the development of the Voluntary Guidelines for the Design, Construction and Equipment of Small Fishing Vessels and in the development of: \u2022 Safety Recommendations for Decked Fishing Vessels of Less than 12 metres in Length and Undecked Fishing Vessels; \u2022 Implementation Guidelines on Part B of the Code, the Voluntary Guidelines and the Safety Recommendations; and \u2022 Revision of the Document for Guidance on Training and Certification of Fishing Vessel Personnel. Furthermore, FAO cooperated with ILO in the development of its Work in Fishing Convention (No. 188) and in 2012 with IMO in finalizing the Cape Town Agreement on the implementation of the Protocol to the Torremolinos Convention. Therefore, for the first time standards are now available for fishing vessels of all sizes and may be readily applied to many vessels used in aquaculture activities. Consequently, there is a sound basis to move forward with the development of Best Practices for Safety at Sea in the Fisheries Sector, as recommended by an Expert Consultation held in Rome, Italy, from 10 to 13 November 2008. It is noted, however, that vessels used in support of aquaculture may fall under legislation promulgated for fishing and non-capture fisheries operations; hence, the need for close cooperation between fisheries and maritime administrations. The purpose of these guidelines is to enable relevant authorities to develop and implement strategies aimed at improved safety, health and conditions of service at sea in capture fisheries and aquaculture operations. They apply to all commercial fishing activities, as well as activities at sea within the aquaculture sector. Furthermore, the principles therein, may also be applied to vessels engaged in fisheries research. However, while these guidelines are not directed at sport and recreational activities carried out within the aquatic environment, administrations responsible for such sectors may well take note of the safety and health issues therein. - , - Published - , - Refereed - , - Current - , - 14.b - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1453", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1453", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1453", "url": "https:\/\/hdl.handle.net\/11329\/1453" }, "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization (FAO)" } ], "keywords": [ "Fishing", "Safety", "Fishing vessels", "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2019", "name": "Guidelines for sampling and determination of total phosphorus.", "description": " - While determination of dissolved phosphate gives information on the bioavailable pool of phosphorus, an assessment of the total amount of phosphorus is also essential. Total phosphorus includes all organic and inorganic forms of phosphorus present in seawater, particulate as well as dissolved. The dissolved organic phosphorus is also partly bioavailable, mainly when phosphate is exhausted. Also the particulate fraction can be used in part. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic phosphorus\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/phosphorus-dip. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2019", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2019", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2019", "url": "https:\/\/hdl.handle.net\/11329\/2019" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Total phosphorus", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1121", "name": "OpenGIS\u00ae Sensor Model Language (SensorML) Implementation Specification. Version 1.0.0.", "description": " - The primary focus of SensorML is to define processes and processing components associated with the measurement and post-measurement transformation of observations. This specification is one of five engineering specifications produced under OGC\u2019s Sensor Web Enablement (SWE) activity, which is being executed under OGC\u2019s Interoperability Program. The initial version was produced during OGC Web Services (OWS) 1.1 Initiative, conducted in 2001. The previous version was produced under the OGC Web Services (OWS) 3.0 Initiative, conducted March 2005 - October 2005. This version is in response to recommendations during the Release for Public Comment (April \u2013 August 2006), as well as efforts that have been continued since the OWS 3 initiatives and during the OWS 4 Initiative, conducted May 2006 \u2013 December 2006. This document provides version 1.0 of the SensorML core specification and supersedes all previous document versions including 05-086r3. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1121", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1121", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1121", "url": "https:\/\/hdl.handle.net\/11329\/1121" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Specification", "SensorML" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1147", "name": "OGC WPS 2.0.2 Interface Standard: Corrigendum 2. Version 2.0.2.", "description": " - In many cases geospatial or location data, including data from sensors, must be processed before the information can be used effectively. The OGC Web Processing Service (WPS) Interface Standard provides a standard interface that simplifies the task of making simple or complex computational processing services accessible via web services. Such services include well-known processes found in GIS software as well as specialized processes for spatio-temporal modeling and simulation. While the OGC WPS standard was designed with spatial processing in mind, it can also be used to readily insert non-spatial processing tasks into a web services environment. The WPS standard provides a robust, interoperable, and versatile protocol for process execution on web services. It supports both immediate processing for computational tasks that take little time and asynchronous processing for more complex and time consuming tasks. Moreover, the WPS standard defines a general process model that is designed to provide an interoperable description of processing functions. It is intended to support process cataloguing and discovery in a distributed environment. - , - Published - , - This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1147", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1147", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1147", "url": "https:\/\/hdl.handle.net\/11329\/1147" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "WPS", "Geoprocessing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/901", "name": "How to map the resilience of hydrothermal vent fields: a tutorial. Verson 1.", "description": " - One of the targets for commercial mining is the Seafloor Massive Sulfides (SMSs) deposits formed around hydrothermal vents, which is a highly attractive source of copper, zinc, lead, gold and silver ores (Hoagland 2010, Herzig 1999, Binns and Scott 1993, Halbach et al. 1989). Hydrothermal vents host chemosynthetic communities as well as metal rich ores. The chemosynthetic communities consist of many endemic invertebrate species specifically adapted to the vent environment via microbial chemoautotrophic primary production (Van Dover 2010). These species have provided new scientific insights into the mechanisms by which organisms adopt to the extreme environment (Jannasch and Wirsen 1979). Furthermore, as reviewed by Le et al. (2016), ecological function and services of these communities range from providing habitat and refuge for other species including non-endemic species (Levin et al. 2016, Govenar 2010), playing a key role in global carbon, sulfur and heavy metals cycling (Jeanthon, 2000, D'Arcy and Amend 2013) and offering new biomolecules that could contribute to industrial development (Terpe et al. 2013, Mahon et al. 2015). Mining of seafloor massive sulfide deposits potentially changes the physico-chemical environment of a vent community through the loss of sulfide habitat, degradation of sulfide habitat quality, modification of fluid flux regimes and exposure of surrounding seafloor habitats (including non-sulfide habitats) to sedimentation and heavy metal deposition (International Seabed Authority 2007, Van Dover 2014). This will directly affect the ecological community by removing and reclaiming organisms, reducing the amount of habitable substrate and changing resource supply. Physico-chemical models and organism distribution data have been integrated to estimate the potential area of sedimentation (Coffey Natural Systems 2008b). However, after the instantaneous effects of a disturbance, the ecological community will reach a new equilibrium state within the disturbed environment (Ives and Carpenter 2007). Hence, potential impacts of artificial disturbances, including how they may cause extinction and modify community structure at different spatial scales (local, regional and global), and decrease diversity at different biological levels (genetic, species and phylogenetic), will be understood by considering both direct impacts of mining activities and subsequent ecological responses. Environmental impact assessments (EIAs) that lack this point of view might severely underestimate the potential risks of anthropological activities. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/901", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/901", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/901", "url": "https:\/\/hdl.handle.net\/11329\/901" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology (JAMSTEC)" } ], "keywords": [ "Hydrothermal vents", "Sulphide deposits", "Mining effects", "Hydrothermal communities", "Parameter Discipline::Marine geology", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1186", "name": "Handbook of fish age estimation protocols and validation methods.", "description": " - The Planning Group on Commercial Catch, Discards and Biological Sampling (PGCCDBS) 2012 was approached by the ICES Publications and Communications Group (PUBCOM) with the suggestion to combine the existing protocols on the age estimation of fish species within the ICES Area and publish them as an ICES Cooperative Research Report (CRR). This idea was received favourably by PGCCDBS. It was deemed important to (i) summarize the state of knowledge for key species, (ii) scrutinize, by peer review, the work done during the many calibration exercises, and, by doing so, (iii) promote an increase in quality. The aim of the present publication is to provide a comprehensive manual on the methodology of age estimation and validation and represents a collation of the state-of-the-art scientific work on the methods and validated age estimation of commercially exploited fish species across Europe. Having a collation of the latest methodologies by species grouping will also facilitate rapid and quality-assured development of methods suitable for new species. - , - Published - , - Refereed - , - Current - , - 14 - , - Fish abundance and distribution - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1186", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1186", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1186", "url": "https:\/\/hdl.handle.net\/11329\/1186" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1317", "name": "Characterization of Extreme Wave Conditions for Wave Energy Converter Design and Project Risk Assessment.", "description": " - Best practices and international standards for determining n-year return period extreme wave (sea states) conditions allow wave energy converter designers and project developers the option to apply simple univariate or more complex bivariate extreme value analysis methods. The present study compares extreme sea state estimates derived from univariate and bivariate methods and investigates the performance of spectral wave models for predicting extreme sea states at buoy locations within several regional wave climates along the US East and West Coasts. Two common third-generation spectral wave models are evaluated, a WAVEWATCH III\u00aemodel with a grid resolution of 4 arc-minutes (6\u20137 km), and a Simulating WAves Nearshore model, with a coastal resolution of 200\u2013300 m. Both models are used to generate multi-year hindcasts, from which extreme sea state statistics used for wave conditions characterization can be derived and compared to those based on in-situ observations at National Data Buoy Center stations. Comparison of results using different univariate and bivariate methods from the same data source indicates reasonable agreement on average. Discrepancies are predominantly random. Large discrepancies are common and increase with return period. There is a systematic underbias for extreme significant wave heights derived from model hindcasts compared to those derived from buoy measurements. This underbias is dependent on model spatial resolution. However, simple linear corrections can effectively compensate for this bias. A similar approach is not possible for correcting model-derived environmental contours, but other methods, e.g., machine learning, should be explored. - , - Refereed - , - 14.A - , - Sea surface height - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1317", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1317", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1317", "url": "https:\/\/hdl.handle.net\/11329\/1317" }, "author": [ { "@type": "Person", "name": "Neary, V.S." }, { "@type": "Person", "name": "Ahn, S." }, { "@type": "Person", "name": "Seng, B.E." }, { "@type": "Person", "name": "Allahdadi, M.N." }, { "@type": "Person", "name": "Wang, T." }, { "@type": "Person", "name": "Yang, Z." }, { "@type": "Person", "name": "He, R." } ], "keywords": [ "Extreme significant wave height", "Wave hindcast", "Resource assessment", "WEC design", "Parameter Discipline::Physical oceanography::Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1177", "name": "Guidelines for Applying Protected Area Management Categories.[SUPERSEDED by DOI:http:\/\/dx.doi.org\/10.25607\/OBP-694]", "description": " - IUCNs Protected Areas Management Categories, which classify protected areas according to their management objectives, are today accepted as the benchmark for defining, recording and classifying protected areas.They are recognized by international bodies such as the United Nations as well as many national governments. As a result, they are increasingly being incorporated into government legislation. These guidelines provide as much clarity as possible regarding the meaning and application of the Categories. They describe the definition of the Categories and discuss application in particular biomes and management approaches. Supplemental guidelines to this document : Guidelines for applying the IUCN protected area management categories to marine protected areas. Second edition. - , - Superseded - , - Refereed - , - Current - , - 14.2 - , - 14.5 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1177", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1177", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1177", "url": "https:\/\/hdl.handle.net\/11329\/1177" }, "contributor": [ { "@type": "Organization", "name": "IUCN" } ], "keywords": [ "Marine Protected Areas", "Protected area management", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2527", "name": "BS EN 14757:2015. Water quality. Sampling of fish with multi-mesh gillnets.", "description": " - This European Standard specifies a method for the sampling of fish in lakes, using benthic multi-mesh gillnets and gives recommendations on sampling of fish with pelagic multi-mesh gillnets. The method provides a whole-lake estimate for species occurrence, quantitative relative fish abundance, biomass expressed as Catch Per Unit Effort (CPUE) and size structure of fish assemblages in temperate lakes. It also provides estimates that are comparable over time within a lake and between lakes. This European Standard specifies routines for sampling, data handling and reporting, and provides information on applications and further treatment of data. It also provides guidance for the sampling of fish for age and growth analyses. According to the principles of this standard other lentic water bodies can be sampled. - , - Published - , - Refereed - , - Current - , - 14.a - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2527", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2527", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2527", "url": "https:\/\/hdl.handle.net\/11329\/2527" }, "contributor": [ { "@type": "Organization", "name": "British Standards Institute (BSI)" } ], "keywords": [ "Fish sampling", "Fish", "gill nets", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/516", "name": "Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications.", "description": " - Variations in inherent optical properties (IOPs), i.e., the scattering and absorption characteristics of water and its constituents (the dissolved and suspended material) are clear indications of changes in water mass or water constituents. Significant progress has been achieved on remote sensing algorithms for IOPs and applications of IOPs in oceanographic studies. This report emphasizes the importance of IOPs in ocean optics and in ocean-colour remote sensing and reviews the characteristics of various algorithms commonly used in remote sensing practices to assess their performance when applied to synthetic and in situ data sets. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing Authors: Robert Arnone, Marcel Babin, Andrew H. Barnard, Emmanuel Boss, Jennifer P. Cannizzaro, Kendall L. Carder, F. Robert Chen, Emmanuel Devred, Roland Doerffer, KePing Du, Frank Hoge, Oleg V. Kopelevich, ZhongPing Lee, Hubert Loisel, Paul E. Lyon, St\u00e9phane Maritorena, Trevor Platt, Antoine Poteau, Collin Roesler, Shubha Sathyendranath, Helmut Schiller, Dave Siegel, Akihiko Tanaka, J. Ronald V. Zaneveld Synthesized dataset available at: http:\/\/ioccg.org\/what-we-do\/ioccg-publications\/ioccg-reports\/synthesized-dataset-from-ioccg-report-5\/ - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/516", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/516", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/516", "url": "https:\/\/hdl.handle.net\/11329\/516" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2457", "name": "OSPAR CEMP Guideline. Common indicator PH2 \u201cChanges in Phytoplankton Biomass and Zooplankton Abundance\u201d. Adopted by BDC(2) 2022, OSPAR Agreement 2019-06. Updated 2023.", "description": " - Plankton biomass and\/or abundance in the ocean are hydro-climatic variables and as such have been demonstrated to reflect environmental changes, as illustrated by already numerous phytoplankton and zooplankton published studies. Being at the base of the food-web and representing a food of importance for numerous species of higher trophic levels, such as fish of commercial interest, the fluctuation of plankton biomass and\/or abundance can have significant impacts on the whole trophic food web but also on carbon cycles and nutrient recycling. The intrinsic characteristics of these organisms at the base of the food web, such as small size, short life cycles and distribution over the whole globe, render them particularly interesting in the frame of monitoring programmes and they have a high potential to reflect environmental changes at short and long-term scales in the marine systems. In practice, the use of total biomass and\/or abundance is often favoured over indicators using species, since indices of species-specific abundance are frequently subject to large inter-annual variation, often due to natural physical dynamics rather than anthropogenic stressors (de Jonge, 2007). Combining both phytoplankton biomass and zooplankton abundance can provide an indication of changes in the energy transfer from primary to secondary producers. The indicator is still under development. Further investigations are needed to precise the assessment method, and to make the indicator flexible enough to include data from innovative approaches and techniques (see further). Since different indices provide complementary information on the community structure, we propose a combination of diversity indices to assess GES for plankton communities. Moreover, each PH indicator considers the community at different resolutions, PH1 at the life-form level of the community, PH2 the total biomass\/abundance of the community and PH3 at the species level. Hence, by combining the information from these three indicators, a more holistic assessment of plankton dynamics can be obtained than from each indicator individually. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Mature - , - Multi-organisational - , - International - , - Ecosystem disturbances - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2457", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2457", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2457", "url": "https:\/\/hdl.handle.net\/11329\/2457" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Climate change effects", "Monitoring guidelines", "Phytoplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1576", "name": "Contributing datasets to EMODnet Biology. OTGA Training Course EMODnetBiology_2020.", "description": " - 1. Gain understanding of the EMODnet Biology project and how it interlinks with other European and international initiatives in the field of biodiversity knowledge; 2. Recognise the importance of sharing biological data, taking into account the FAIR principles; 3, Develop skills to correctly format biological data to EMODnet Biology and EurOBIS formats; 4, Gain knowledge on the required quality control steps and on the importance of interoperability; - , - IOC; Flander Government - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1576", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1576", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1576", "url": "https:\/\/hdl.handle.net\/11329\/1576" }, "author": [ { "@type": "Person", "name": "Beja, Joana" }, { "@type": "Person", "name": "Poffyn, Gizem" }, { "@type": "Person", "name": "Vandepitte, Leen" }, { "@type": "Person", "name": "Eliezer, Menash\u00e8" }, { "@type": "Person", "name": "P\u00e9rez P\u00e9rez, Rub\u00e9n" }, { "@type": "Person", "name": "Fern\u00e1ndez Bejarano, Salvador" }, { "@type": "Person", "name": "Gerovasileiou, Vasilis" } ], "keywords": [ "Biological data", "Data management", "Training Course", "OTGA", "EMODnet", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data processing", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data interoperability development", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1515", "name": "Uncertainty Quantification Use Case: Moored Temperature Sensor Measurement Uncertainty.", "description": " - The oceanographic community acknowledges the need to better quantify the uncertainty of their measurements, but such quantifications are daunting. Requests for examples are often heard (Simpson, 2021). This example is extracted from the supplemental material of Bushnell et al., 2019. It is presented here as an exemplar for communities striving to create better expressions of uncertainty quantification. It has been edited slightly in order to improve presentation as a stand-alone use case. In such endeavors clarity is critical, so the example begins with well-defined terminology (Bell, 1999; EUROLAB, 2006; BIPM, 2008). The discussion of two approaches to estimation of uncertainty follows, which then leads to the very specific details provided by this example. Propagation of uncertainty into derived values, standard uncertainties of common probability distributions, and the impacts of correlations are also addressed. - , - Published - , - Current - , - 14.A - , - Subsurface temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1515", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1515", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1515", "url": "https:\/\/hdl.handle.net\/11329\/1515" }, "author": [ { "@type": "Person", "name": "Seitz, Steffen" }, { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Buckley, Earle" }, { "@type": "Person", "name": "Bushnell, Mark" } ], "keywords": [ "Uncertainty quantification", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water temperature sensor", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/487", "name": "Processing Argo oxygen data at the DAC level. Version 2.2. Octobre 22nd 2016. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-117]", "description": " - This document does NOT address the issue of oxygen data quality control (either real-time or delayed mode). As a preliminary step towards that goal, this document seeks to ensure that all countries deploying floats equipped with oxygen sensors document the data and metadata related to these floats properly. We produced this document in response to action item 14 from the AST-10 meeting in Hangzhou (March 22-23, 2009). Action item 14: Denis Gilbert to work with Taiyo Kobayashi and Virginie Thierry to ensure DACs are processing oxygen data according to recommendations. If the recommendations contained herein are followed, we will end up with a more uniform set of oxygen data within the Argo data system, allowing users to begin analysing not only their own oxygen data, but also those of others, in the true spirit of Argo data sharing. Indications provided in this document are valid as of the date of writing this document. It is very likely that changes in sensors, calibrations and conversions equations will occur in the future. Please contact V. Thierry (vthierry@ifremer.fr) for any inconsistencies or missing information. A dedicated webpage on the Argo Data Management website (www) contains all information regarding Argo oxygen data management : current and previous version of this cookbook, oxygen sensor manuals, calibration sheet examples, examples of matlab code to process oxygen data, test data, etc. - , - Published - , - Refereed - , - Superseded - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/487", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/487", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/487", "url": "https:\/\/hdl.handle.net\/11329\/487" }, "author": [ { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Gilbert, Denis" }, { "@type": "Person", "name": "Kobayashi, Taiyo" }, { "@type": "Person", "name": "Sato, Kanako" }, { "@type": "Person", "name": "Schmid, Claudia" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Oxygen sensors", "Argo floats", "Bio-Argo", "Oxygen", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Metadata management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/652", "name": "Evaluating the performance of methods for estimating the abundance of rapidly declining coastal shark populations.", "description": " - Accurately surveying shark populations is critical to monitoring precipitous ongoing declines in shark abundance and interpreting the effects that these reductions are having on ecosystems. To evaluate the effectiveness of existing survey tools, we used field trials and computer simulations to critically examine the operation of four common methods for counting coastal sharks: stationary point counts, belt transects, video surveys, and mark and recapture abundance estimators. Empirical and theoretical results suggest that (1) survey method selection has a strong impact on the estimates of shark density that are produced, (2) standardizations by survey duration are needed to properly interpret and compare survey outputs, (3) increasing survey size does not necessarily increase survey precision, and (4) methods that yield the highest density estimates are not always the most accurate. These findings challenge some of the assumptions traditionally associated with surveying mobile marine animals. Of the methods we trialed, 8 \u00d7 50 m belt transects and a 20 m radius point count produced the most accurate estimates of shark density. These findings can help to improve the ways we monitor, manage, and understand the ecology of globally imperiled coastal shark populations. - , - Refereed - , - 14.2 - , - 14.4 - , - Fish abundance and distribution - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/652", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/652", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/652", "url": "https:\/\/hdl.handle.net\/11329\/652" }, "author": [ { "@type": "Person", "name": "Macauley, Douglas J." }, { "@type": "Person", "name": "Mclean, Kevin A." }, { "@type": "Person", "name": "Bauer, John" }, { "@type": "Person", "name": "Young, Hillary S." }, { "@type": "Person", "name": "Micheli, Fiorenza" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/498", "name": "Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. [In: Special Edition: Ecopath 30 years - Modelling ecosystem dynamics: beyond boundaries with EwE]", "description": " - Ecopath with Ecosim (EwE) models are easier to construct and use compared to most other ecosystem modelling techniques and are therefore more widely used by more scientists and managers. This, how- ever, creates a problem with quality assurance; to address this we provide an overview of best practices for creating Ecopath models. We describe the diagnostics that can be used to check for thermodynamic and ecological principles, and highlight principles that should be used for balancing a model. We then highlight the pitfalls when comparing Ecopath models using Ecological Network Analysis indices. For dynamic simulations in Ecosim we show the state of the art in calibrating the model by \ufb01tting it to time series using a formal \ufb01tting procedure and statistical goodness of \ufb01t. Finally, we show how Monte Carlo simulations can be used to address uncertainty in input parameters, and we discuss the use of models in a management context, speci\ufb01cally using the concept of \u2018key runs\u2019 for ecosystem-based management. This novel list of best practices for EwE models will enable ecosystem managers to evaluate the goodness of \ufb01t of the given EwE model to the ecosystem management question. - , - Refereed - , - 14.1.1 - , - 14.2.1 - , - 14.4.1 - , - 14.5.1 - , - 14.6.1 - , - 14.7.1 - , - 2.3.1 - , - 2.3.2 - , - 2.c.1 - , - 3.9.2 - , - 3.9.3 - , - 6.3.2 - , - 6.6.1 - , - 8.2.1 - , - 8.3.1 - , - 8.4.1 - , - 9.3.1 - , - 12.2.1 - , - 12.3.1 - , - 12.4.1 - , - 15.2.1 - , - 15.1.2 - , - oxygen - , - nutrients - , - inorganic carbon - , - transient tracers - , - stable carbon isotopes - , - fish abundance and distribution - , - marine turtles, birds, mammals abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/498", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/498", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/498", "url": "https:\/\/hdl.handle.net\/11329\/498" }, "author": [ { "@type": "Person", "name": "Heymans, Johanna J" }, { "@type": "Person", "name": "Coll, Marta" }, { "@type": "Person", "name": "Link, Jason S" }, { "@type": "Person", "name": "Mackinson, Steven" }, { "@type": "Person", "name": "Steenbeek, Jeroen" }, { "@type": "Person", "name": "Walters, Carl" }, { "@type": "Person", "name": "Christensen, Villy" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Environment", "Parameter Discipline::Terrestrial", "Instrument Type Vocabulary::Ocean models", "Instrument Type Vocabulary::Regional models", "Data Management Practices::Data analysis", "Data Management Practices::Data quality control", "Data Management Practices::Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/700", "name": "Guidelines for determining polymer-water and polymer-polymer partition coefficients of organic compounds.", "description": " - Methods for the experimental determination of polymer-water partition coefficients (Kpw) and polymer-polymer partition coefficients (Kp1p2) are reviewed with the aim to improve the quality of passive sampling-based monitoring of organic compounds. Mechanistic models are used for optimizing the experimental design of Kpw measurements with respect to scaling (polymer mass, water volume, concentration levels) and equilibration times. It is shown that the polymer-water phase ratio has a profound effect on the rate of equilibrium attainment. Experimental artefacts are discussed and quality control measures for quantifying uncertainties in the reported Kpw values are suggested. Examples of experimental design modelling are provided. Experimental methods for determining Kp1p2 are not fully developed yet and several suggestions for the further development of Kp1p2 measurements are included. It is expected that this guideline will be useful for investigators who seek to improve their experimental procedures for determining polymer-water and polymer-polymer partition coefficients, or to assess the quality of literature values of these partition coefficients. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/700", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/700", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/700", "url": "https:\/\/hdl.handle.net\/11329\/700" }, "author": [ { "@type": "Person", "name": "Booij, Kees" }, { "@type": "Person", "name": "Smedes, Foppe" }, { "@type": "Person", "name": "Allan, Ian J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1896", "name": "Prevalence of heavy fuel oil and black carbon in Arctic shipping, 2015 to 2025.", "description": " - Dwindling sea ice is opening new shipping routes through the Arctic, with shipping activity expected to increase with oil and gas development and as ships take advantage of shorter trans-Arctic routes from Asia to Europe and North America. However, with increased shipping comes an increased risk of accidents, oil spills, and air pollution. Potential spills of heavy fuel oil (HFO) and emissions of black carbon (BC) are of particular concern for the Arctic. Heavy fuel oil poses a substantial threat to the Arctic environment because it is extremely difcult to recover once spilled and the combustion of HFO emits BC, a potent air pollutant that accelerates climate change. For these reasons, the Arctic Council (AC) has called HFO \u201cthe most significant threat from ships to the Arctic environment\u201d (Arctic Council, 2009). Thus, understanding how much HFO is consumed and carried by ships in the Arctic, and how much BC is emitted by these ships, is critical to assessing the current and future risks of Arctic shipping. This report uses exactEarth satellite Automatic Identification System (AIS) data along with ship characteristic data from IHS Fairplay to estimate HFO use, HFO carriage, the use and carriage of other fuels, BC emissions, and emissions of other air and climate pollutants for the year 2015, with projections to 2020 and 2025. Results are estimated for ships operating in three Arctic regions: (1) the Geographic Arctic (at or above 58.95oN), (2) the International Maritime Organization\u2019s (IMO) Arctic as defined in the Polar Code, and (3) the U.S. Arctic, defined as the portion of the U.S. exclusive economic zone (EEZ) within the IMO Arctic. The risks of HFO and BC in the Arctic are being actively discussed at the AC and the IMO. Because the IMO will likely be the prime decision-making body for international policies that address the environmental risks of Arctic shipping, the Executive Summary focuses primarily on HFO use, HFO carriage, BC emissions, and flag state activity in the IMO Arctic. Heavy fuel oil was the most consumed marine fuel in the Arctic in 2015. In the IMO Arctic, HFO represented nearly 57% of the nearly half million tonnes (t) of fuel consumed by ships, followed by distillate (43%); almost no liquefied natural gas (LNG) was consumed in this area. General cargo vessels consumed the most HFO in the IMO Arctic, using 66,000 t, followed by oil tankers (43,000 t), and cruise ships (25,000 t). Heavy fuel oil also dominated fuel carriage, in tonnes, and fuel transport, in tonnenautical miles (t-nm) in the Arctic in 2015. Although only 42% of ships in the IMO Arctic operated on HFO in 2015, these ships accounted for 76% of fuel carried and 56% of fuel transported in this region. Specifically, bulk carriers, container ships, oil tankers, general cargo vessels, and fishing vessels dominated HFO carriage and transport in the IMO Arctic, together accounting for more than 75% of HFO carried and transported in the IMO Arctic in 2015. Considering the quantity of fuel these vessels carry on board and the distances they travel each year, these ships may pose a higher risk for HFO spills than others. The distribution of HFO use in three Arctic areas is shown in Figure ES-1. The blue outline represents the IMO Arctic boundary. The minimum sea ice extent in 1979 and 2015 are shown as the light blue area and dark black line, respectively. As the figure illustrates, melting sea ice is associated with expanded use and carriage of HFO in the Arctic. Note the 2015 HFO use associated with activity along the northern coast of Russia (part of the Northern Sea Route) and Canada (the Northwest Passage) that would have been ice-locked in 1979. - , - Published - , - Current - , - 14.1 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1896", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1896", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1896", "url": "https:\/\/hdl.handle.net\/11329\/1896" }, "author": [ { "@type": "Person", "name": "Comer, Bryan" }, { "@type": "Person", "name": "Olmer, Naya" }, { "@type": "Person", "name": "Mao, Xiaoli" }, { "@type": "Person", "name": "Roy, Biswajoy" }, { "@type": "Person", "name": "Rutherford, Dan" } ], "contributor": [ { "@type": "Organization", "name": "International Council on Clean Transportation" } ], "keywords": [ "Black Carbon", "Shipping pollution", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/823", "name": "Toward a Quality-Controlled and Accessible Pitzer Model for Seawater and Related Systems.", "description": " - We elaborate the need for a quality-controlled chemical speciation model for seawater and related natural waters, work which forms the major focus of SCOR Working Group 145. Model development is based on Pitzer equations for the seawater electrolyte and trace components. These equations can be used to calculate activities of dissolved ions and molecules and, in combination with thermodynamic equilibrium constants, chemical speciation. The major tasks to be addressed are ensuring internal consistency of the Pitzer model parameters (expressing the interactions between pairs and triplets of species, which ultimately determines the calculated activities), assessing uncertainties, and identifying important data gaps that should be addressed by new measurements. It is recognised that natural organic matter plays an important role in many aquatic ecosystems, and options for including this material in a Pitzer-based model are discussed. The process of model development begins with the core components which include the seawater electrolyte and the weak acids controlling pH. This core model can then be expanded by incorporating additional chemical components, changing the standard seawater composition and\/or broadening the range of temperature and pressure, without compromising its validity. Seven important areas of application are identified: open ocean acidification; micro-nutrient biogeochemistry and geochemical tracers; micro-nutrient behaviour in laboratory studies; water quality in coastal and estuarine waters; cycling of nutrients and trace metals in pore waters; chemical equilibria in hydrothermal systems; brines and salt lakes. - , - Refereed - , - Manual - , - Guide - , - 2016-05-31 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/823", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/823", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/823", "url": "https:\/\/hdl.handle.net\/11329\/823" }, "author": [ { "@type": "Person", "name": "Turner, David R." }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Chen, Chen-Tung A." }, { "@type": "Person", "name": "Clegg, Simon L." }, { "@type": "Person", "name": "Hatje, Vanessa" }, { "@type": "Person", "name": "Maldonado, Maria T." }, { "@type": "Person", "name": "Sander, Sylvia G." }, { "@type": "Person", "name": "van den Berg, Constant M. G." }, { "@type": "Person", "name": "Wells, Mona" } ], "keywords": [ "Chemical speciation", "Modeling", "Equilibria", "pH", "Trace metals", "Biogeochemical cycles", "Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1848", "name": "A Global Review of Cumulative Pressure and Impact Assessments in Marine Environments.", "description": " - Ever more extensive use of marine space by human activities and greater demands for marine natural resources has led to increases in both duration and spatial extent of pressures on the marine environment. In parallel, the global crisis of decreasing biodiversity and loss of habitats has revitalized scientific research on human impacts and lead to methodological development of cumulative pressure and impact assessments (CPIA). In Europe alone, almost 20 CPIAs have been published in the past 10 years and some more in other sea regions of the world. In this review, we have analyzed 40 recent marine CPIAs and focused on their methodological approaches. We were especially interested in uncovering methodological similarities, identifying best practices and analysing whether the CPIAs have addressed the recent criticism. The review results showed surprisingly similar methodological approaches in half of the studies, raising hopes for finding coherence in international assessment efforts. Although the CPIA methods showed relatively few innovative approaches for addressing the major caveats of previous CPIAs, the most recent studies indicate that improved approaches may be soon found. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1848", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1848", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1848", "url": "https:\/\/hdl.handle.net\/11329\/1848" }, "author": [ { "@type": "Person", "name": "Korpinen, Samuli" }, { "@type": "Person", "name": "Andersen, Jesper H." } ], "keywords": [ "Multiple stressors", "Ecosystem based management", "CPIA", "Cumulative pressure and impact assessments", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/860", "name": "Community and Environmental Compliance Standard Operating Procedures (CECSOP) for R\/V Sikuliaq Research Operations.", "description": " - The R\/V Sikuliaq is owned by the National Science Foundation and operated through a Cooperative Agreement by the College of Fisheries and Ocean Sciences (CFOS) at the University of Alaska Fairbanks (UAF). The vessel is designed to support a wide variety of research activities and operate in arctic and sub-arctic regions where Alaska Native marine mammal harvest activities for subsistence use may simultaneously occur. In light of the importance of maritime subsistence activities to coastal communities in these regions (Figure 1), this document is intended to provide guidance and explain standard operating procedures (SOPs) to Principal Investigators (PIs) that intend to use the R\/V Sikuliaq to conduct research activities. Specifically, this document, the Community and Environmental Compliance Standard Operating Procedures (CECSOP), states the standard operating practices aboard the Sikuliaq; provides guidance to identify\/communicate\/mitigate potential impacts on, or time\/area conflicts with, maritime subsistence harvest areas, activities, and resources; explains environmental compliance procedures; and describes the various roles and responsibilities of individuals involved in these processes. These SOPs are intended to support best practices while facilitating use of this unique vessel, enhance cruise success, encourage appropriate and necessary outreach to potentially interested coastal communities (e.g., Tribal leadership, Alaskan Native organizations, co-management entities that participate in management of marine mammals, and other community and regional organizations), and ensure compliance with applicable federal environmental regulations (e.g., National Environmental Policy Act (NEPA), Marine Mammal Protection Act (MMPA), and Endangered Species Act (ESA). To the extent possible, the CECSOP was prepared to take into consideration the Arctic Waterways Safety Committee (AWSC) Standard of Care for Research Cruise Operations (SOC)1 document, which was also being developed at the time of this document preparation. The AWSC is a coordination group comprised of Arctic waterway stakeholders (e.g., individuals and representatives from Alaska Native Organizations, industry, local government, and others) that is meant to provide a unified forum for local marine interests in the Alaskan Arctic, and to act collectively on behalf of those interests to ensure a safe, efficient, and predictable operating environment for all current and future users of arctic waterways. The CECSOP provided here is a living document and may be adjusted in the future based on new guidance, such as a revised AWSC SOC or other best practices that are identified. The R\/V Sikuliaq general guidance for research activities is described in Section I, while the SOPs are described and organized in Section II of this document as pre-cruise, cruise, and postcruise activities. Section III explains personnel roles and responsibilities. While the SOPs reflect current best practices, each research activity is unique and may require additional, or modified, procedures to successfully conduct research activities on the R\/V Sikuliaq to achieve research goals. UAF and CFOS personnel that manage the R\/V Sikuliaq are dedicated to assist R\/V Sikuliaq Community and Environmental Compliance SOP and support PIs in complying with these or modified SOPs. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/860", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/860", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/860", "url": "https:\/\/hdl.handle.net\/11329\/860" }, "contributor": [ { "@type": "Organization", "name": "University of Alaska Fairbanks, College of Fisheries and Ocean Sciences" } ], "keywords": [ "Ship operations", "Research cruise", "Standard operating procedures", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/250", "name": "How to Develop Research Data Management Services - a guide for HEIs.", "description": " - The purpose of this guide is to help institutions understand the key aims and issues associated with planning implementing Research Data Management (RDM) services. - , - JISC - , - Published - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/250", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/250", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/250", "url": "https:\/\/hdl.handle.net\/11329\/250" }, "author": [ { "@type": "Person", "name": "Jones, Sarah" }, { "@type": "Person", "name": "Pryor, Graham" }, { "@type": "Person", "name": "Whyte, Angus" } ], "contributor": [ { "@type": "Organization", "name": "Digital Curation Centre" } ], "keywords": [ "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/509", "name": "The generalized data management and collection protocol for Conductivity-Temperature- Depth Satellite Relay Data Loggers.", "description": " - The software routines for data sampling and processing that are implemented on-board telemetry devices (tags) called Conductivity-Temperature-Depth Satellite Relay Data Loggers (CTD-SRDLs) enable the simultaneous collection of biological and in-situ environmental data by animal-platforms over periods of weeks to months, despite severe energy and bandwidth limitations imposed by their relatively small size. This extended operational lifetime is made possible by the use of software protocols on-board the tags that manage sensors, data collection, storage, compression and transmission to ensure that the most useful data are sent at appropriate resolution while minimizing redundancy. While tag software is tailored to the particular species under study and the questions being addressed with a given field deployment, the philosophy behind Sea Mammal R esearch Unit Instrumentation Group (SMRU-IG) software protocols is to adopt a general set of principles to achieve the best results within the energy and bandwidth constraints. Here, we discuss these and review the general protocol that is used to simultaneously collect information on geographical movements, diving behaviour and in-situ oceanographic information from marine mammals. - , - Refereed - , - Subsurface salinity - , - Subsurface temperature - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/509", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/509", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/509", "url": "https:\/\/hdl.handle.net\/11329\/509" }, "author": [ { "@type": "Person", "name": "Photopoulou, T." }, { "@type": "Person", "name": "Fedak, M.A." }, { "@type": "Person", "name": "Matthiopoulos, J." }, { "@type": "Person", "name": "McConnell, B." }, { "@type": "Person", "name": "Lovell, P." } ], "keywords": [ "CTD Satellite Relay Data Logger", "Animal borne sensors", "Marine mammals", "Software protocol", "CLS-Argos", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1037", "name": "INTERACT Practical Field Guide.", "description": " - The INTERACT Practical Field Guide contains information on best practices and safety aspects in relation to fieldwork in the Arctic. Its eight chapters address general safety guidelines; communication; safety during transport and in the field; weather, terrain and wildlife, codes of conduct; local and traditional knowledge; and emergency preparedness and supplements the INTERACT Fieldwork Planning Handbook. The book has been developed and written by early career scientists, station managers and experienced safety professionals, thus reflecting the views of both new explorers and those with years of experience. We therefore hope that the book can be an inspirational source for early career and more senior scientists providing in-depth knowledge and handy tips for fieldwork planning in the Arctic and other cold regions of the world. We advise thoroughly reading through the INTERACT Practical Field Guide before going into the field. This book can then be used as a handy guide to the main aspects relevant while in the field, particularly safety issues. In addition, you can also use the index for a fast search of all topics covered. - , - Published - , - Authors: Fiona Tummon \u2013 The Arctic University of Norway (UiT), Troms\u00f8, Norway\/Association of Polar Early Career Scientists (APECS), now based at the Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland Andrea Schneider \u2013 The Arctic University of Norway (UiT), Troms\u00f8, Norway\/Association of Polar Early Career Scientists (APECS) Morten Rasch \u2013 University of Copenhagen, Denmark - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1037", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1037", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1037", "url": "https:\/\/hdl.handle.net\/11329\/1037" }, "contributor": [ { "@type": "Organization", "name": "Aarhus University, DCE \u2013 Danish Centre for Environment and Energy" } ], "keywords": [ "Association of Polar Early Career Scientists (APECS)", "International Network for Terrestrial Research and Monitoring in the Arctic (INTERACT)", "Fieldwork", "Arctic Region", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2565", "name": "IEC TS 62600-100:2012 Marine energy - Wave, tidal and other water current converters - Part 100: Electricity producing wave energy converters - Power performance assessment. Edition 1.", "description": " - IEC\/TS 62600-100:2012(E) provides a method for assessing the electrical power production performance of a Wave Energy Converter (WEC), based on the performance at a testing site. Provides a systematic method which includes: - measurement of WEC power output in a range of sea states; - WEC power matrix development; - an agreed framework for reporting the results of power and wave measurements. The contents of the corrigendum of April 2017 have been included in this copy. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea state - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2565", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2565", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2565", "url": "https:\/\/hdl.handle.net\/11329\/2565" }, "contributor": [ { "@type": "Organization", "name": "International Electrotechnical Commission(IEC)" } ], "keywords": [ "Wave energy converters", "Electrical power measurement", "Wave power", "Tidal power", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1513", "name": "On-site sequencing speeds up and re-directs field-based microbiology.", "description": " - As a field-going molecular microbial ecologist, I often experience an extreme high feeling or bout of excitement during immersion in my study environment. However, when I return to my laboratory, generally in the cold and dark winter months, I \u2018crash\u2019 or reach a low point, due to my realization of how many samples we obtained in the field and the extent of processing, sequencing and analysis time that we still need to devote to the samples before we can draw any conclusions and share our findings. In an effort to lessen my now regular post-field crashes, I have started following the development of mobile sequencing technology. Oxford Nanopore Technologies has recently made large strides in this area, producing the MinION a hand-held flow-cell costing $1,000 that can connect to a laptop computer. The company is developing the even more mobile SmidgION, a lower power device that will run on a smartphone. Depending on the type of MinION sequencing conducted (amplicon, metagenomic, transcriptomic, etc.), preparation after extraction of nucleic acids can take as little as 10-minutes to a few hours, and sequencing reads are immediately available for viewing during the sequencing run. While the platform has been primarily used for DNA molecules, the MinION can directly sequence RNA (without conversion to cDNA), opening up new avenues for exploring microbial transcripts as well as RNA viruses while on-site. Within environmental microbiology, this technology has recently been applied at field sites, including soils and remote glacier environments (Cummings et al., 2017; Edwards et al., 2018) and has also been used to track wastewater contamination from urban storm water (Hu et al., 2018). The ability to produce sequencing data while in the field could transform the timeline of many environmental microbiology-based studies... - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1513", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1513", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1513", "url": "https:\/\/hdl.handle.net\/11329\/1513" }, "author": [ { "@type": "Person", "name": "Apprill, Amy" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1141", "name": "OpenGIS Coordinate Transformation Service Implementation Specification. Version 1.0.", "description": " - This Implementation Specification provides interfaces for general positioning, coordinate systems, and coordinate transformations. Coordinates can have any number of dimensions. So this specification can handle 2D and 3D coordinates, as well as 4D, 5D etc. In order to handle any number of dimensions, this specification provides a Coordinate System package that could eventually replace the Spatial Reference package contained in the Simple Features specifications. However, it has been designed to work in conjunction with Simple Features during any transition period. This Implementation Specification anticipates the adoption of more advanced geometry interfaces. So these interfaces do not reference the IGeometry interface or the WKB format from Simple Features. Convex hulls are use where geometry is required (e.g. to define the domains of transformation functions). Convex hulls are defined from a list of points. This document can be read in conjunction with the attached HTML files and UML model, which contain the same information in a more structured format. The definitive statement of the DCP profiles is expressed in the attached Java source, and IDL files (COM and CORBA). Large parts of this document were generated from the same abstract model that was used to generate the DCP profiles. If the abstract model is revised this document may temporarily lag behind. - , - Published - , - The following company is pleased to submit this specification in response to the OGC Request 9, \u201cA Request for Proposals: OpenGIS Coordinate Transformation Services\u201d (OpenGIS Project Document Number 99-057): Computer Aided Development Corporation (Cadcorp) Ltd. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1141", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1141", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1141", "url": "https:\/\/hdl.handle.net\/11329\/1141" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Specification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2209", "name": "New Approaches for the Observation of Transient Phenomena in Critical Marine Environment.", "description": " - This paper focuses on the development of new approaches to observe transient phenomena in critical marine environments using autonomous marine vehicles (AMVs) for the acquisition of physical and biogeochemical parameters of water and seabed characterization. The connection with metrological principles, together with the adoption of observing methodologies adjustable according to the specific marine environment being studied, allows researchers to obtain results that are reliable, reproducible, and comparable with those obtained through the classic monitoring methodologies. Tests were executed in dramatically dynamic, sensitive, and fragile areas, where the study and application of new methodologies is required to observe phenomena strongly localized in space and requiring very high resolutions, in time. Moreover, the harsh environmental conditions may present risks not only for the quality and quantity of the acquired data but also for the instrumentation and the operators. This is the case, for instance, in polar marine environments in proximity of tidal glaciers and in the Mediterranean Sea in areas characterized by seabed degassing activities, where AMV-supported monitoring procedures can allow for the safe observation of not repeatable and not completely predictable events. - , - Refereed - , - 14.a - , - Subsurface salinity - , - Subsurface temperature - , - ArLoC multi-sensor - , - Fluorimeter - , - Turbidimeter - , - Multi-parametric Idronaut 305 Plus CTD type probe - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2209", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2209", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2209", "url": "https:\/\/hdl.handle.net\/11329\/2209" }, "author": [ { "@type": "Person", "name": "Ferretti, Roberta" }, { "@type": "Person", "name": "Caccia, Massimo" }, { "@type": "Person", "name": "Coltorti, Massimo" }, { "@type": "Person", "name": "Ivaldi, Roberta" } ], "keywords": [ "Autonomous marine vehicles", "Physical oceanography", "altimeters", "fluorometers", "Data analysis", "Data acquisition", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2443", "name": "A model for community-driven development of best practices: the Ocean Observatories Initiative Biogeochemical Sensor Data Best Practices and User Guide.", "description": " - The field of oceanography is transitioning from data-poor to data-rich, thanks in part to increased deployment of in-situ platforms and sensors, such as those that instrument the US-funded Ocean Observatories Initiative (OOI). However, generating science-ready data products from these sensors, particularly those making biogeochemical measurements, often requires extensive end-user calibration and validation procedures, which can present a significant barrier. Openly available community-developed and -vetted Best Practices contribute to overcoming such barriers, but collaboratively developing user-friendly Best Practices can be challenging. Here we describe the process undertaken by the NSF-funded OOI Biogeochemical Sensor Data Working Group to develop Best Practices for creating science-ready biogeochemical data products from OOI data, culminating in the publication of the GOOS-endorsed OOI Biogeochemical Sensor Data Best Practices and User Guide. For Best Practices related to ocean observatories, engaging observatory staff is crucial, but having a \u201cuser-defined\u201d process ensures the final product addresses user needs. Our process prioritized bringing together a diverse team and creating an inclusive environment where all participants could effectively contribute. Incorporating the perspectives of a wide range of experts and prospective end users through an iterative review process that included \u201cBeta Testers\u2019\u2019 enabled us to produce a final product that combines technical information with a user-friendly structure that illustrates data analysis pipelines via flowcharts and worked examples accompanied by pseudo-code. Our process and its impact on improving the accessibility and utility of the end product provides a roadmap for other groups undertaking similar community driven activities to develop and disseminate new Ocean Best Practices. - , - Refereed - , - 14.a - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Particulate matter - , - Ocean colour - , - Mature - , - 2024-04-03 - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2443", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2443", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2443", "url": "https:\/\/hdl.handle.net\/11329\/2443" }, "author": [ { "@type": "Person", "name": "Palevsky, Hilary" }, { "@type": "Person", "name": "Clayton, Sophie" }, { "@type": "Person", "name": "Benway, Heather" }, { "@type": "Person", "name": "Maheigan, Mairead" }, { "@type": "Person", "name": "Atamanchuk, Dariia" }, { "@type": "Person", "name": "Battisti, Roman" }, { "@type": "Person", "name": "Batryn, Jennifer" }, { "@type": "Person", "name": "Bourbonnais, Annie" }, { "@type": "Person", "name": "Briggs, Ellen M." }, { "@type": "Person", "name": "Carvalho, Filipo" }, { "@type": "Person", "name": "Chase, Alison P." }, { "@type": "Person", "name": "Eveleth, Rachel" }, { "@type": "Person", "name": "Fatland, Rob" }, { "@type": "Person", "name": "Fogaren, Kristen" }, { "@type": "Person", "name": "Fram, Jonathan" }, { "@type": "Person", "name": "Hartman, Susan E." }, { "@type": "Person", "name": "Le Bras, Isabela" }, { "@type": "Person", "name": "Manning, Cara" }, { "@type": "Person", "name": "Needoba, Joseph A." }, { "@type": "Person", "name": "Neely, Merrie Beth" }, { "@type": "Person", "name": "Oliver , Hilde" }, { "@type": "Person", "name": "Reed, Andrew C." }, { "@type": "Person", "name": "Rheuban, Jennie E." }, { "@type": "Person", "name": "Schallenberg, Christina" }, { "@type": "Person", "name": "Walsh, Ian" }, { "@type": "Person", "name": "Wingard, Christopher" }, { "@type": "Person", "name": "Bauer, Kohen Witt" }, { "@type": "Person", "name": "Chen, Baoshan" }, { "@type": "Person", "name": "Cuevas, Jose" }, { "@type": "Person", "name": "Flecha, Susana" }, { "@type": "Person", "name": "Horwith, Micah" }, { "@type": "Person", "name": "Melendez, Melissa" }, { "@type": "Person", "name": "Menz, Tyler" }, { "@type": "Person", "name": "Rivero-Calle, Sara" }, { "@type": "Person", "name": "Roden, Nicholas" }, { "@type": "Person", "name": "Steinhoff, Tobias" }, { "@type": "Person", "name": "Trucco Pignata, Pablo Nicol\u00e1s" }, { "@type": "Person", "name": "Vardaro, Michael" }, { "@type": "Person", "name": "Yoder, Meg" } ], "keywords": [ "Ocean best practices,", "Biogeochemical sensors,", "Ocean Observatories Initiative (OOI)", "Beta testers", "Carbonate system", "Nutrients", "Dissolved gases", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1658", "name": "Bottle sampling depths.", "description": " - The CalCOFI CTD-rosette is equipped with a Sea-Bird Electronic carousel water sampler (SBE 32), a computer-driven, electro-magnetically-released latch system. The 24 ten-liter plastic (PVC) bottles, equipped with epoxy-coated springs & Viton (non-toxic) O-rings, connect to 24 individual triggers by lanyards which keep the bottle ends open. During the downcast, profiles of different sensor measurements vs depth are displayed real-time on a computer screen. Based on the chlorophyll maximum & mixed layer depths, bottles are closed at specific depths to isolate the seawater. The 10 meter bottle spacing shifts up or down (see table below) to resolve steep gradient features such as chlorophyll, oxygen, nitrite maxima and shallow salinity minimum. Salinity, oxygen and nutrients samples are analyzed at-sea for all depths sampled. Chlorophyll-a and phaeopigments samples from the top 200 meters, bottom depth permitting, are also extracted for 24hrs and analyzed at-sea. Most CTD-rosette casts sample 20 depths to a maximum of 515 meters, bottom depth permitting. Occasionally, additional bottle depths or multiple bottles are tripped at the same depth to provide extra water for ancillary projects or primary productivity incubations. Two basin stations, off Santa Monica & Santa Barbara, are sampled beyond 515m to within 10m of bottom. Wire-length permitting, a 3500m deep cast is performed at sta 90.90. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1658", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1658", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1658", "url": "https:\/\/hdl.handle.net\/11329\/1658" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Water sampler", "CTD rosette", "Physical oceanography", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2507", "name": "ISO 16264:2002. Water quality \u2014 Determination of soluble silicates by flow analysis (FIA and CFA) and photometric detection. Edition 1. [Reviewed 2019].", "description": " - Further investigation will be necessary to determine whether and to what extent particular problems will require the specification of additional minor conditions. It is absolutely essential that tests conducted according to this International Standard be carried out by suitably qualified staff. Differentiation is required between flow injection analysis (FIA)[1], [2], and continuous flow analysis (CFA) [3]. Both methods share the feature of an automatic dosage of the sample into a flow system (manifold) where the analytes in the sample react with the reagent solutions on their way through the manifold. The sample preparation may be integrated into the manifold. The reaction product is determined in a flow detector (e.g. photometer). This detector produces a signal from which the concentration of the parameter can be calculated. Methods using flow analysis automate wet chemical procedures and are particularly suitable for processing many analytes in water in large sample series at a high analysis frequency. WARNING \u2014 Persons using this International Standard should be familiar with normal laboratory practice. This International Standard does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. 1 Scope This International Standard specifies two methods, i.e. flow injection analysis (FIA) and continuous flow analysis (CFA), for the determination of soluble silicate ions in various types of water (such as ground, drinking, surface, leachate and waste water). Both methods are applicable to the determination of a mass concentration of silicate (SiO2) ranging from 0,2 mg\/l to 20 mg\/l (with working ranges 0,2 mg\/l to 2,0 mg\/l and 2 mg\/l to 20 mg\/l). Other mass concentration ranges are applicable, provided they cover exactly one decade of concentration units (e.g. 0,02 mg\/l to 0,2 mg\/l in SiO2). - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2507", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2507", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2507", "url": "https:\/\/hdl.handle.net\/11329\/2507" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Flow injection analysis (FIA)", "Continuous flow analysis (CFA)", "Silicate", "ISO Standard", "Nutrients", "flow injection analysers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/651", "name": "Pitfalls and guidelines for \u201crecycling\u201d models for ecosystem-based fisheries management: evaluating model suitability for forage fish fisheries.", "description": " - Ecosystem models have been developed for many marine systems to provide guidance on fisheries management strategies that protect key ecological functions. These models are commonly \u201crecycled\u201d, i.e. applied to new questions or policy concerns after the initial phase of model development, testing, and application. Because decisions about the model structure are typically based on the intended model use, it is important to recognize limits in the capacity of models to address questions for which they were not specifically designed. Here, we evaluate existing foodweb models in the context of their ability to identify key forage species in foodwebs and to test management strategies for fisheries that target them. We find that the depth and breadth with which predator species are represented are commonly insufficient for evaluating sensitivities of predator populations to forage fish depletion. We demonstrate that aggregating predator species into functional groups creates bias in foodweb metrics such as connectance. Models also varied considerably with respect to the extent that they have been tuned or fitted to retrospective patterns and the degree to which key sensitivities are identified. We use this case study to provide several general recommendations when \u201crecycling\u201d ecosystem and foodweb models. Briefly, we suggest as routine procedure careful scrutiny of structural model attributes, of scales at which ecological processes are included, and quality of fits for key functional groups. - , - Refereed - , - 14.2 - , - Fish abundance and distribution - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/651", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/651", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/651", "url": "https:\/\/hdl.handle.net\/11329\/651" }, "author": [ { "@type": "Person", "name": "Essington, Timothy E." }, { "@type": "Person", "name": "Plag\u00e1nyi, \u00c9va E." } ], "keywords": [ "Ecological modelling", "Ecosystem-based management", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2217", "name": "Comparison of three quick methods to estimate crab size in the land crabs Cardisoma guanhumi Latreille, 1825 and Ucides cordatus (Crustacea: Brachyura: Gecarcinidae and Ucididae).", "description": " - Quick, reliable and non destructive methods are necessary to estimate size structure on commercial land crabs, in order to acquire relevant information concerning the health of their populations. Cardisoma guanhumi and Ucides cordatus are two land crabs that are exploited at a high scale and also in an artisan way in the Caribbean area and in the coasts of Brazil, which populations are endangered due to uncontrolled exploitation. The purpose of this work is to provide various methods to estimate indirectly crab body size. Sampling was carried out in Carenero (C. guanhumi) and Cuman\u00e1 (U. cordatus) (Venezuela). For each species, three methods were used to measure burrow diameter (Vernier, internal spring caliper and photograph), and these were correlated with real body size of the crabs. Model II linear regression analyzes, i.e. Ordinary Least Squares and Mayor Axis, were used to build and test the performance of forecasting models. Cardisoma guanhumi showed a high bivariate data dispersion using Vernier and photo measuring methods, increasing these towards larger animals. Less dispersion was achieved with the spring caliper method; this resulted in the most accurate measurements of indirectly estimated body size in C. guanhumi (r2= 0.61), whereas Vernier measurements were the least precise. On the other hand, all three methods gave reliable estimates for U. cordatus, being the Vernier method the most accurate (r2= 0.71). However, in both species, all forecasting equations overestimated the size of smaller crabs (those below the mean) but underestimated the size of larger crabs. Nevertheless, all three methods were statistically significant for each of the species, and looking at the above mentioned under- and overestimations, they can serve as reliable and fast non-destructive tools to be used by resource managers and field biologists to acquire size structure information concerning these two species. Vernier and internal spring caliper methods are recommended for relative small sampling areas, while photo method is suggested to be used in very extensive sampling regions. - , - Volume 60 \u2013 Supplement 1 \u2013 March 2012: Proceedings of the 35th Scientific Meeting of the Association of Marine Laboratories of the Caribbean (AMLC) - , - Refereed - , - Spanish: Para la estimaci\u00f3n de la estructura de tama\u00f1os en cangrejos terrestres comerciales y la obtenci\u00f3n de informaci\u00f3n relevante para su manejo, es necesario utilizar m\u00e9todos r\u00e1pidos, confiables y no destructivos. Cardisoma guanhumi y Ucides cordatus son dos cangrejos terrestres que son explotados comercialmente en el Caribe y en Brasil. El prop\u00f3sito de este trabajo es suministrar m\u00e9todos indirectos para la estimaci\u00f3n del tama\u00f1o del caparaz\u00f3n de los cangrejos y por consiguiente, de la estructura de tallas. Los muestreos se llevaron a cabo en Carenero (C. guanhumi) y en Cuman\u00e1 (U. cordatus) (Venezuela). Se utilizaron tres m\u00e9todos para estimar el di\u00e1metro de sus madrigueras: Vernier, comp\u00e1s y fotograf\u00eda. Estos se correlacionaron con el tama\u00f1o real del cangrejo. Se aplic\u00f3 el an\u00e1lisis de regresi\u00f3n Ordinary Least Squares Model II y la capacidad de predicci\u00f3n se prob\u00f3 utilizando el modelo II Mayor Axis para las regresiones. Cardisoma guanhumi mostr\u00f3 una fuerte dispersi\u00f3n de sus datos en los m\u00e9todos de Vernier y fotograf\u00eda. Menos dispersi\u00f3n se obtuvo con el m\u00e9todo del comp\u00e1s y fue el m\u00e1s preciso (r2= 0.61). Para U. cordatus las medidas con Vernier fueron la m\u00e1s adecuadas (r2= 0.71). Sin embargo los tres m\u00e9todos fueron confiables. Los diferentes m\u00e9todos mostraron ventajas y desventajas y depender\u00e1 del que aplique los m\u00e9todos, decidir cu\u00e1l ser\u00e1 el m\u00e1s adecuado para sus prop\u00f3sitos. - , - 14.a - , - Mature - , - International - , - N\/A - , - N\/A - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2217", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2217", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2217", "url": "https:\/\/hdl.handle.net\/11329\/2217" }, "author": [ { "@type": "Person", "name": "Carmona-Su\u00e1rez, Carlos" }, { "@type": "Person", "name": "Guerra-Castro, Edlin" } ], "keywords": [ "Vernier measurement", "Internal spring caliper measurement", "Body size measurement", "Other biological measurements", "cameras", "Vernier", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2175", "name": "A method for evaluating operational implications of regulatory constraints on Arctic shipping.", "description": " - Development of effective marine policy necessitates evidence-based, data-driven evaluations of the effects of regulatory constraints on operations. This is essential to better understand implications of policy decisions on complex socio-technical systems. This paper demonstrates a generalized methodology for evaluating operational implications associated with implementing maritime regulations. The method combines a ship performance model, regulatory constraint models, and multi-criteria pathfinding and optimization algorithms to evaluate and compare the operational implications of different regulatory constraints. The method is applied to Arctic shipping. The Polar Operational Limit Assessment Risk Indexing System (POLARIS) and the Arctic Ice Regimes Shipping System (AIRSS) are considered. POLARIS and AIRSS are regulatory guidelines used to assign structural safety constraints on ships in ice. Four approaches for assigning structural safety constraints are modelled: 1) POLARIS, 2) AIRSS, 3) speed limits established through a first-principles ship-ice interaction model, and 4) navigation in the absence of structural safety constraints. Operational implications are measured as distance, voyage time, and fuel consumption. Route optimization is validated against expert opinion of Arctic ship captains. Results indicate AIRSS is the more conservative regulatory guideline, yet associated with decreased voyage time and fuel consumption. Implications for marine policy and safe navigation are that, while POLARIS offers flexibility to operate in more severe ice conditions, it increases voyage time, fuel consumption, and the risk of vessel damage. Competent Arctic seafarers are critical for safe and efficient operations. The generalized methodology provides marine policy-makers and industry stakeholders with a means to evaluate operational implications of maritime regulations. - , - A chief focus of this methodology is to promote safe navigation in ice by imposing structural safety constraints on Arctic ship operations. - , - Refereed - , - 14.1 - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2175", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2175", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2175", "url": "https:\/\/hdl.handle.net\/11329\/2175" }, "author": [ { "@type": "Person", "name": "Browne, Thomas" }, { "@type": "Person", "name": "Tran, Trung Tien" }, { "@type": "Person", "name": "Veitch, Brian" }, { "@type": "Person", "name": "Smith, Doug" }, { "@type": "Person", "name": "Khan, Faisal" }, { "@type": "Person", "name": "Taylor, Rocky" } ], "keywords": [ "Maritime policy", "Arctic shipping", "Navigation", "Human activity", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/568", "name": "Quality Assurance and Quality Control by Variable, Version 6..", "description": " - This is a document designed to summarise the current status of quality assurance and quality control (QA\/QC) procedures across the Integrated Marine Observing System's program from the perspective of the essential ocean variables we are measuring. The purpose of this document is to highlight gaps, identify priorities, and to provide an evidence base for use by the IMOS community in considering whether or not the QC procedures that we have evolved are as effective and efficient as they need to be for a sustained observing system. - , - Unpublished - , - This is a review of the QA\/QC practices at the Integrated Marine Observing System across all its observing platforms - , - Current - , - SDG14 - , - Sea surface temperature - , - Sea surface height - , - Sea state - , - Surface currents - , - Ocean surface stress - , - Ocean surface heat flux - , - Subsurface temperature - , - Subsurface salinity - , - Subsurface velocity - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Particulate matter - , - Ocean colour - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Marine turtles, birds, mammals abundance and distribution - , - Benthic invertebrate abundance and distribution - , - Fish abundance and biomass - , - TRL 1 Basic principles observed and reported - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/568", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/568", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/568", "url": "https:\/\/hdl.handle.net\/11329\/568" }, "author": [ { "@type": "Person", "name": "Lara- Lopez, Ana" }, { "@type": "Person", "name": "Mancini, Sebastien" }, { "@type": "Person", "name": "Moltmann, Tim" }, { "@type": "Person", "name": "Proctor, Roger" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "QA\/QC practices review", "Quality control", "Benthos", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1267", "name": "Arctic Ocean Acidification Assessment: 2018 Summary for Policy-Makers.", "description": " - This document presents the Summary for Policymakers of the 2018 Arctic Ocean Acidifi cation (AOA) Assessment. More detailed information on the results of the assessment can be found in the 2018 AOA Assessment Report. For more information, contact the AMAP Secretariat. AMAP, established in 1991 under the eightcountry Arctic Environmental Protection Strategy, monitors and assesses the status of the Arctic region with respect to pollution and climate change. AMAP produces science-based policy-relevant assessments and public outreach products to inform policy and decision-making processes. Since 1996, AMAP has served as one of the Arctic Council\u2019s six working groups. Photo: Matt Wilson\/Jay Clark, NOAA NMFS AFSC Design: Burnthebook.co.uk Printing: Narayana Press This - , - Published - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1267", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1267", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1267", "url": "https:\/\/hdl.handle.net\/11329\/1267" }, "contributor": [ { "@type": "Organization", "name": "Arctic Monitoring and Assessment Programme (AMAP)" } ], "keywords": [ "Ocean acidification", "CAPARDUS", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1789", "name": "Near real-time marine mammal monitoring from gliders: Practical challenges, system development, and management implications.", "description": " - In 2017, an endangered North Atlantic right whale mortality event in the Gulf of St. Lawrence, Canada, triggered the implementation of dynamic mitigation measures that required real-time information on whale distribution. Underwater glider-based acoustic monitoring offers a possible solution for collecting near real-time information but has many practical challenges including self-noise, energy restrictions, and computing capacity, as well as limited glider-to-shore data transfer bandwidth. This paper describes the development of a near real-time baleen whale acoustic monitoring glider system and its evaluation in the Gulf of St. Lawrence in 2018. Development focused on identifying and prioritizing important acoustic events and on sending contextual information to shore for human validation. The system performance was evaluated post-retrieval, then the trial was simulated using optimized parameters. Trial simulation evaluation revealed that the validated detections of right, fin, and blue whales produced by the system were all correct; the proportion of species occurrence missed varied depending on the timeframe considered. Glider-based near real-time monitoring can be an effective and reliable technique to inform dynamic mitigation strategies for species such as the North Atlantic right whale. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Ocean sound - , - International - , - Species Populations - , - Species Traits - , - Community composition - , - Ecosystem Structure - , - Marine Habitats - , - Passive Acoustic Recorders - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1789", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1789", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1789", "url": "https:\/\/hdl.handle.net\/11329\/1789" }, "author": [ { "@type": "Person", "name": "Kowarski, Katie A." }, { "@type": "Person", "name": "Gaudet, Briand J." }, { "@type": "Person", "name": "Cole, Arthur J." }, { "@type": "Person", "name": "Maxner, Emily E." }, { "@type": "Person", "name": "Turner, Stephen P." }, { "@type": "Person", "name": "Martin, S. Bruce" }, { "@type": "Person", "name": "Johnson, Hansen D." }, { "@type": "Person", "name": "Moloney, John E." } ], "keywords": [ "BioICE", "IOOS Marine Life", "Environment", "Passive acoustic recording systems", "Data analysis", "Data aggregation", "Data acquisition", "Data exchange", "Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1309", "name": "Slow Pyrolysis as a Method for the Destruction of Japanese Wireweed, Sargassum muticum.", "description": " - Japanese wireweed, Sargassum muticum is an invasive species to Great Britain, which might be controlled by harvesting it for energy and chemicals. Pyrolysis is the thermal decomposition of the organic components of dry biomass by heating in the absence of air. The distribution of matter between solid, liquid and syngas depends on the biomass and the pyrolysis temperature and time. Slow pyrolysis with lower temperatures (~ 400 oC) tends to produce more solid char. Pyrolysis char can be an effective soil ameliorant, a sequestration agent due to its stability or burned as a fuel. The research attempts to answer the question: Could slow pyrolysis be an energy efficient means for the destruction of Japanese wireweed and produce a potential product, biochar? A simple test rig was developed to establish the yield of biochar, biocrude and syngas from the slow pyrolysis of Sargassum muticum. An energy balance was calculated using compositional data from the analysis of the seaweed feedstock, higher heating values (HHV) from bomb-calorimetry and literature values. The energy required to heat 1 kg of dry seaweed by 400 oC for slow pyrolysis was estimated at 0.5 MJ. The HHV of syngas and biocrude produced from the pyrolysis totalled 2.9 MJ. There is, therefore, sufficient energy in the biocrude and syngas fractions produced by the pyrolysis of seaweed to power the process and produce useful biochar, but insufficient energy for drying. - , - Refereed - , - 14.2 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1309", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1309", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1309", "url": "https:\/\/hdl.handle.net\/11329\/1309" }, "author": [ { "@type": "Person", "name": "Milledge, J.J," }, { "@type": "Person", "name": "Staple, A." }, { "@type": "Person", "name": "Harvey, P." } ], "keywords": [ "Sargassum muticum", "Seaweed", "Sargassum", "Biochar", "Energy balance", "Pyrolosis", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1482", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report Remote Access Sampler: Total Alkalinity and Total Dissolved Inorganic Carbon. Version 1.0. 2009-2018.", "description": " - This report details the quality control procedures applied to the total alkalinity and total dissolved inorganic carbon data from samples collected by the Remote Access water Sampler (McLane Labs, Inc., RAS 500) deployed on the SOTS and Pulse moorings between 2009 and 2019. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Current - , - 14.A - , - Inorganic Carbon - , - Nutrients - , - Sea Surface Salinity - , - Sea Surface Temperature - , - Subsurface Salinity - , - Subsurface Temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1482", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1482", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1482", "url": "https:\/\/hdl.handle.net\/11329\/1482" }, "author": [ { "@type": "Person", "name": "Shadwick, Elizabeth H." }, { "@type": "Person", "name": "Davies, Diana M." }, { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::discrete water samplers", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1746", "name": "Motus Wave Sensor 5729, TD 316 Operating Manual, 3rd edition.", "description": " - This document is intended to give the reader knowledge of how to operate and maintain the Aanderaa Motus Wave Sensor 5729. The sensor is made for integration with either EMM 2.0 buoy or Motus DB 1750 buoys or used as stand-alone sensor with 3rd party buoys. The sensor is a part of the Aanderaa buoy package Aanderaa EMM 2.0 Motus buoy or the Aanderaa DB 1750 Motus Buoy. Both buoy package are standard solutions with a wide range of optional parameters available both for meteorological and hydrological measurements. The sensor is also available as Sensor Kit for mounting on existing EMM 2.0 or Motus DB 1750 buoys. The sensor and integrations on all buoys are described in a single manual since the measurement principle and operation of sensor are the same. The sensor utilize common communication protocols at the RS-232 interface where the Smart Sensor Terminal protocol is a simple ASCII command string based protocol, AADI Real Time is an XML based protocol, AIS mode is a special output designed to transmit the Message 8 directly to an AIS transponder and the CAN bus based AiCaP communication protocol are mainly used when the sensor is connected to one of the Aanderaa Dataloggers. In this Manual we will focus on connection to SmartGuard as this is the standard datalogger for use in buoy. We will also cover 3rd party loggers since this configuration will differ from the SmartGuard. However the sensor can also be connected to a SeaGuardII but then the configuration will be identical to SmartGuard since SeaGuardII is a watertight submerged version of SmartGuard. For SeaGuardII configurations follow CHAPTER 3. To configure and control the sensor we use sensor properties. A complete list of user accessible sensor properties is listed in chapter 1.7. The sensor properties are divided in 4 groups with different access levels. Some properties may be set on or off when others may contain different values. To change these setting you can either use AADI Real-Time Collector, described in CHAPTER 3 and CHAPTER 4 or terminal software like Tera Term, described in CHAPTER 6. Note! Some settings are only visible when certain settings are enabled. The sensor may be used on other 3rd party buoys of similar size and shape as Motus DB 1750 without any extra adjustment. If the size or shape of buoys is different an adjustment to the frequency response might be necessary. - , - Published - , - Current - , - 14.a - , - Sea state - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1746", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1746", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1746", "url": "https:\/\/hdl.handle.net\/11329\/1746" }, "contributor": [ { "@type": "Organization", "name": "Aanderaa Data Instruments AS" } ], "keywords": [ "Waves", "wave recorders", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2569", "name": "Guidelines for Uncertainty. D5.4. Version 2.0.", "description": " - This document constitutes Deliverable 5.4 of the JERICO project. It is intended to furnish members of the JERICO community with a basic understanding of uncertainty in measurement. The document presents the essential principles and concepts central to the determination of measurement uncertainty. It describes the different steps involved in an uncertainty calculation, and introduces reporting conventions. Some guidance on the proper preparation of relevant documentation is also included, and the importance of uncertainty determinations in the context of coastal marine observing activity is outlined. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2569", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2569", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2569", "url": "https:\/\/hdl.handle.net\/11329\/2569" }, "author": [ { "@type": "Person", "name": "Nair, R." }, { "@type": "Person", "name": "Medeot, N." }, { "@type": "Person", "name": "Petihakis, G." }, { "@type": "Person", "name": "Ntouma, M." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "Measurement uncertainty analysis", "Coastal observations", "Physical oceanography", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2040", "name": "White Paper on European Polar infrastructure access and interoperability, including an infrastructure implementation plan for the European Polar Research Programme.", "description": " - European nations operate world-class research infrastructures in the Arctic and Antarctic, which result from a long history of polar research and significant investments made by national polar programmes. The European Polar Infrastructure Catalogue, which EU-PolarNet has compiled, identified 32 European stations in the Antarctic and on the Sub-Antarctic Islands (Fig. 1) and 32 stations in the Arctic (Fig. 2), with 2 icebreakers, 14 ice-strengthened research vessels and an aircraft fleet operating at both poles. These infrastructures are of extreme scientific value, some of them are either strategically located or their mobile capabilities provide them with unique capacities. European infrastructures are based over a large geographical breadth, providing a critical network and a valuable asset for the European Research Area. The European Polar Research Programme (EPRP), created by EU-PolarNet, delineates the future strategy lines for European polar research. It has been developed by an encompassing consultation process involving scientists and polar stakeholders. The EPRP clearly identifies the urgent need to improve coordination among national polar programmes, align operations, implement, or further develop access schemes and foster interoperability of infrastructure and data. This complex endeavour needs to account for the key characteristics of the individual infrastructures and priorities of national research programmes to secure stronger research collaboration and foster scientific impacts. As a result, it will optimise the operational costs and environmental footprint by reducing any possible overlap or duplication of efforts. This more efficient use of resources will also lead to harmonised actions developing more balanced cross-disciplinary observations and science. Improved coordination will also enable better interaction with industry and the private sector, as well as their engagement, boosting research and society interactions. Improved coordination and integration will facilitate connectivity with global networks and systems in and beyond Europe, strengthening sustainable infrastructure development and innovation. This white paper builds upon EU-PolarNet\u2019s experience in bridging scientific and societal needs. It is the infrastructure and logistics response to the research needs addressed in the European Polar Research Programme and shall pave the way for stronger and interconnected European actions at the poles and for a common European voice in Polar organisations and fora. - , - European Union Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2040", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2040", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2040", "url": "https:\/\/hdl.handle.net\/11329\/2040" }, "author": [ { "@type": "Person", "name": "Vieira, Gon\u00e7alo" }, { "@type": "Person", "name": "Biebow, Nicole" }, { "@type": "Person", "name": "Vel\u00e1zquez, David" } ], "contributor": [ { "@type": "Organization", "name": "EU-PolarNet" } ], "keywords": [ "Research infrastructure", "Cross-discipline", "Cryosphere", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2491", "name": "ISO 35106:2017. Petroleum and natural gas industries \u2014 Arctic operations \u2014 Metocean, ice, and seabed data. Edition 1.", "description": " - ISO 35106:2017 specifies requirements and provides recommendations and guidance for the collection, analysis and presentation of relevant physical environmental data for activities of the petroleum and natural gas industries in arctic and cold regions. Activities include design and operations, which involve planning and actual execution. Reference to arctic and cold regions in this document is deemed to include both the Arctic and other locations characterized by low ambient temperatures and the presence or possibility of sea ice, icebergs, shelf ice, glaciers, icing conditions, persistent snow cover, frozen surfaces of lakes and rivers, localized and rapidly changing weather systems and\/or permafrost. ISO 35106:2017 outlines requirements for a range of different operations that have been or are presently being undertaken and for existing design concepts. This document can also be used for other operations and new design concepts in arctic and cold regions as long as it is recognized that all data requirements are not necessarily addressed. - , - 7.1 - , - Sea ice - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2491", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2491", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2491", "url": "https:\/\/hdl.handle.net\/11329\/2491" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Petroleum Industry", "Natural gas industry", "Design concepts", "Construction and structures", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2340", "name": "A Century of Sonar: Planetary Oceanography, Underwater Noise Monitoring, and the Terminology of Underwater Sound.", "description": " - The current terminology of underwater sound, as documented, for example, by (Urick, 1983), was developed during and after the Second World War (ASA, 1951; Urick, 1967), and has evolved little since then (Jensen et al., 2011). When examined against a modern requirement, with particular attention to the needs of planetary oceanography and underwater noise, this 60-year old terminology is found wanting. - , - Refereed - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2340", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2340", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2340", "url": "https:\/\/hdl.handle.net\/11329\/2340" }, "author": [ { "@type": "Person", "name": "Ainslie, Michael A." } ], "keywords": [ "Underwater acoustics", "Underwater noise", "Ocean sound", "Underwater sound", "Acoustics", "Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/762", "name": "Ecological best practice in decommissioning: a review of scientific research.", "description": " - The Oslo and Paris Commissions (OSPAR) decision 98\/3 prohibits the dumping of man-made structures (MMS) offshore. However, there are regions of the world where MMS are recognized as providing an ecological and societal benefit through the provision of ecosystem goods and services. This review provides a commentary on our current understanding of the ecological influence of man-made structures, the consequences of their decommissioning and recognizes that our knowledge is far from complete. It is known that a diverse and complex ecosystem of attached organisms develops on submerged structures which supports a localized food web that could not exist without them. However, our lack of detailed information makes modelling of system response to decommissioning very tentative. Ideally, we should use the best possible scientific information to reach a consensus as to whether the blanket removal of MMS (excepting derogations) is the most environmentally supportable option. The evidence available to-date shows both benefits and some risk in leaving MMS in place and this needs to be examined without preconception. On the UKCS, MMS as artificial habitats are not considered under the Habitats Directive, irrespective of the value or rarity of the species present. We conclude that a more comprehensive regulatory process, together with the recognition of the ecology associated with man-made structures, would allow science to play a role in the decision-making rather than supporting a blanket policy ignoring ecological context. - , - Refereed - , - 14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/762", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/762", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/762", "url": "https:\/\/hdl.handle.net\/11329\/762" }, "author": [ { "@type": "Person", "name": "Fortune, I.S." }, { "@type": "Person", "name": "Paterson, D.M." } ], "keywords": [ "Decommissioning", "Ecosystem impacts", "Man-made structures", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1921", "name": "GO-SHIP Repeat Hydrography: Determination of dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) in seawater using High Temperature Combustion Analysis.[GOOS ENDORSED PRACTICE]", "description": " - Dissolved organic matter (DOM), operationally defined as organic matter that passes through a submicron filter, is a complex mixture of organic molecules comprised of carbon, hydrogen and oxygen as well as nitrogen, phosphorous and sulfur. Resolving the dynamics of each DOM fraction helps to elucidate the greater questions of DOM biogeochemical cycling. At ~662 \u00b132 Pg (1015 g) C, oceanic dissolved organic carbon (DOC) is one of the largest bioreactive pools of carbon in the ocean (Williams and Druffel, 1987; Hansell and Carlson, 1998a; Hansell et al., 2009), and is comparable to the mass of inorganic C in the atmosphere (MacKenzie, 1981; Eppley et al., 1987; Fasham et al., 2001). Perturbations in the sources or sinks of the oceanic DOC pool impact the balance between oceanic and atmospheric CO2, perhaps making it climatically significant (Ridgwell and Arnt, 2014). In addition, most of the standing stock of fixed nitrogen in the surface ocean (<200m) is in the form of dissolved organic nitrogen (DON) (Bronk, 2002; Aluwihare and Meador, 2008; Letscher et al., 2013). As such, it is important to understand the processes that control DOC and DON distribution, inventories and fluxes in the global ocean. - , - published version in Frontiers in Marine Science - , - Refereed - , - FRENCH === La mati\u00e8re organique dissoute (DOM), d\u00e9finie sur le plan op\u00e9rationnel comme la mati\u00e8re organique qui passe \u00e0 travers un filtre submicronique, est un m\u00e9lange complexe de mol\u00e9cules organiques compos\u00e9es de carbone, d'hydrog\u00e8ne et d'oxyg\u00e8ne ainsi que d'azote, de phosphore et de soufre. La r\u00e9solution de la dynamique de chaque fraction de DOM aide \u00e0 \u00e9lucider les grandes questions du cycle biog\u00e9ochimique des DOM. \u00c0 ~662 \u00b132 Pg (1015 g) C, le carbone organique dissous oc\u00e9anique (COD) est l'un des plus grands r\u00e9servoirs bior\u00e9actifs de carbone dans l'oc\u00e9an (Williams et Druffel, 1987; Hansell et Carlson, 1998a; Hansell et al., 2009 ), et est comparable \u00e0 la masse de C inorganique dans l'atmosph\u00e8re (MacKenzie, 1981 ; Eppley et al., 1987 ; Fasham et al., 2001). Les perturbations dans les sources ou les puits du pool oc\u00e9anique de COD ont un impact sur l'\u00e9quilibre entre le CO2 oc\u00e9anique et atmosph\u00e9rique, le rendant peut-\u00eatre important sur le plan climatique (Ridgwell et Arnt, 2014). De plus, la majeure partie du stock permanent d'azote fix\u00e9 \u00e0 la surface de l'oc\u00e9an (<200 m) est sous forme d'azote organique dissous (DON) (Bronk, 2002 ; Aluwihare et Meador, 2008 ; Letscher et al., 2013). En tant que tel, il est important de comprendre les processus qui contr\u00f4lent la distribution, les inventaires et les flux de COD et de DON dans l'oc\u00e9an mondial. - , - FRENCH === La mati\u00e8re organique dissoute (DOM), d\u00e9finie sur le plan op\u00e9rationnel comme la mati\u00e8re organique qui passe \u00e0 travers un filtre submicronique, est un m\u00e9lange complexe de mol\u00e9cules organiques compos\u00e9es de carbone, d'hydrog\u00e8ne et d'oxyg\u00e8ne ainsi que d'azote, de phosphore et de soufre. La r\u00e9solution de la dynamique de chaque fraction de DOM aide \u00e0 \u00e9lucider les grandes questions du cycle biog\u00e9ochimique des DOM. \u00c0 ~662 \u00b132 Pg (1015 g) C, le carbone organique dissous oc\u00e9anique (COD) est l'un des plus grands r\u00e9servoirs bior\u00e9actifs de carbone dans l'oc\u00e9an (Williams et Druffel, 1987; Hansell et Carlson, 1998a; Hansell et al., 2009 ), et est comparable \u00e0 la masse de C inorganique dans l'atmosph\u00e8re (MacKenzie, 1981 ; Eppley et al., 1987 ; Fasham et al., 2001). Les perturbations dans les sources ou les puits du pool oc\u00e9anique de COD ont un impact sur l'\u00e9quilibre entre le CO2 oc\u00e9anique et atmosph\u00e9rique, le rendant peut-\u00eatre important sur le plan climatique (Ridgwell et Arnt, 2014). De plus, la majeure partie du stock permanent d'azote fix\u00e9 \u00e0 la surface de l'oc\u00e9an (<200 m) est sous forme d'azote organique dissous (DON) (Bronk, 2002 ; Aluwihare et Meador, 2008 ; Letscher et al., 2013). En tant que tel, il est important de comprendre les processus qui contr\u00f4lent la distribution, les inventaires et les flux de COD et de DON dans l'oc\u00e9an mondial. - , - GERMAN === Gel\u00f6ste organische Substanz (DOM), operativ definiert als organische Substanz, die einen Submikronfilter passiert, ist eine komplexe Mischung organischer Molek\u00fcle, bestehend aus Kohlenstoff, Wasserstoff und Sauerstoff sowie Stickstoff, Phosphor und Schwefel. Die Aufkl\u00e4rung der Dynamik jeder DOM-Fraktion hilft, die gr\u00f6\u00dferen Fragen des biogeochemischen DOM-Kreislaufs zu kl\u00e4ren. Mit ~662 \u00b132 Pg (1015 g) C ist ozeanischer gel\u00f6ster organischer Kohlenstoff (DOC) einer der gr\u00f6\u00dften bioreaktiven Kohlenstoffspeicher im Ozean (Williams und Druffel, 1987; Hansell und Carlson, 1998a; Hansell et al., 2009). ) und ist vergleichbar mit der Masse an anorganischem C in der Atmosph\u00e4re (MacKenzie, 1981; Eppley et al., 1987; Fasham et al., 2001). St\u00f6rungen in den Quellen oder Senken des ozeanischen DOC-Pools wirken sich auf das Gleichgewicht zwischen ozeanischem und atmosph\u00e4rischem CO2 aus und machen es m\u00f6glicherweise klimatisch bedeutsam (Ridgwell und Arnt, 2014). Dar\u00fcber hinaus liegt der gr\u00f6\u00dfte Teil des Bestands an festem Stickstoff im Oberfl\u00e4chenozean (<200 m) in Form von gel\u00f6stem organischem Stickstoff (DON) vor (Bronk, 2002; Aluwihare und Meador, 2008; Letscher et al., 2013). Daher ist es wichtig, die Prozesse zu verstehen, die die Verteilung, Best\u00e4nde und Fl\u00fcsse von DOC und DON im globalen Ozean steuern - , - PORTUGUESE === A mat\u00e9ria org\u00e2nica dissolvida (DOM), definida operacionalmente como mat\u00e9ria org\u00e2nica que passa por um filtro submicrom\u00e9trico, \u00e9 uma mistura complexa de mol\u00e9culas org\u00e2nicas composta de carbono, hidrog\u00eanio e oxig\u00eanio, bem como nitrog\u00eanio, f\u00f3sforo e enxofre. Resolver a din\u00e2mica de cada fra\u00e7\u00e3o DOM ajuda a elucidar as maiores quest\u00f5es do ciclo biogeoqu\u00edmico DOM. A ~662 \u00b132 Pg (1015 g) C, o carbono org\u00e2nico dissolvido oce\u00e2nico (DOC) \u00e9 um dos maiores reservat\u00f3rios biorreativos de carbono no oceano (Williams e Druffel, 1987; Hansell e Carlson, 1998a; Hansell et al., 2009 ), e \u00e9 compar\u00e1vel \u00e0 massa de C inorg\u00e2nico na atmosfera (MacKenzie, 1981; Eppley et al., 1987; Fasham et al., 2001). Perturba\u00e7\u00f5es nas fontes ou sumidouros do reservat\u00f3rio DOC oce\u00e2nico impactam o equil\u00edbrio entre o CO2 oce\u00e2nico e atmosf\u00e9rico, talvez tornando-o climaticamente significativo (Ridgwell e Arnt, 2014). Al\u00e9m disso, a maior parte do estoque permanente de nitrog\u00eanio fixo na superf\u00edcie do oceano (<200m) est\u00e1 na forma de nitrog\u00eanio org\u00e2nico dissolvido (DON) (Bronk, 2002; Aluwihare e Meador, 2008; Letscher et al., 2013). Como tal, \u00e9 importante compreender os processos que controlam a distribui\u00e7\u00e3o, invent\u00e1rios e fluxos de DOC e DON no oceano global - , - SPANISH === La materia org\u00e1nica disuelta (DOM), definida operativamente como materia org\u00e1nica que pasa a trav\u00e9s de un filtro submicr\u00f3nico, es una mezcla compleja de mol\u00e9culas org\u00e1nicas compuesta por carbono, hidr\u00f3geno y ox\u00edgeno, as\u00ed como nitr\u00f3geno, f\u00f3sforo y azufre. Resolver la din\u00e1mica de cada fracci\u00f3n de DOM ayuda a dilucidar las cuestiones m\u00e1s importantes del ciclo biogeoqu\u00edmico de DOM. A ~662 \u00b132 Pg (1015 g) C, el carbono org\u00e1nico disuelto oce\u00e1nico (DOC) es uno de los dep\u00f3sitos biorreactivos de carbono m\u00e1s grandes del oc\u00e9ano (Williams y Druffel, 1987; Hansell y Carlson, 1998a; Hansell et al., 2009). ), y es comparable a la masa de C inorg\u00e1nico en la atm\u00f3sfera (MacKenzie, 1981; Eppley et al., 1987; Fasham et al., 2001). Las perturbaciones en las fuentes o sumideros de la reserva oce\u00e1nica de DOC afectan el equilibrio entre el CO2 oce\u00e1nico y atmosf\u00e9rico, lo que quiz\u00e1s lo haga significativo desde el punto de vista clim\u00e1tico (Ridgwell y Arnt, 2014). Adem\u00e1s, la mayor parte de la reserva permanente de nitr\u00f3geno fijo en la superficie del oc\u00e9ano (<200 m) se encuentra en forma de nitr\u00f3geno org\u00e1nico disuelto (DON) (Bronk, 2002; Aluwihare y Meador, 2008; Letscher et al., 2013). Como tal, es importante comprender los proceso - , - SPANISH === La materia org\u00e1nica disuelta (DOM), definida operativamente como materia org\u00e1nica que pasa a trav\u00e9s de un filtro submicr\u00f3nico, es una mezcla compleja de mol\u00e9culas org\u00e1nicas compuesta por carbono, hidr\u00f3geno y ox\u00edgeno, as\u00ed como nitr\u00f3geno, f\u00f3sforo y azufre. Resolver la din\u00e1mica de cada fracci\u00f3n de DOM ayuda a dilucidar las cuestiones m\u00e1s importantes del ciclo biogeoqu\u00edmico de DOM. A ~662 \u00b132 Pg (1015 g) C, el carbono org\u00e1nico disuelto oce\u00e1nico (DOC) es uno de los dep\u00f3sitos biorreactivos de carbono m\u00e1s grandes del oc\u00e9ano (Williams y Druffel, 1987; Hansell y Carlson, 1998a; Hansell et al., 2009). ), y es comparable a la masa de C inorg\u00e1nico en la atm\u00f3sfera (MacKenzie, 1981; Eppley et al., 1987; Fasham et al., 2001). Las perturbaciones en las fuentes o sumideros de la reserva oce\u00e1nica de DOC afectan el equilibrio entre el CO2 oce\u00e1nico y atmosf\u00e9rico, lo que quiz\u00e1s lo haga significativo desde el punto de vista clim\u00e1tico (Ridgwell y Arnt, 2014). Adem\u00e1s, la mayor parte de la reserva permanente de nitr\u00f3geno fijo en la superficie del oc\u00e9ano (<200 m) se encuentra en forma de nitr\u00f3geno org\u00e1nico disuelto (DON) (Bronk, 2002; Aluwihare y Meador, 2008; Letscher et al., 2013). Como tal, es importante comprender los proceso - , - 14.a - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1921", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1921", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1921", "url": "https:\/\/hdl.handle.net\/11329\/1921" }, "author": [ { "@type": "Person", "name": "Halewood, Elisa" }, { "@type": "Person", "name": "Opalk, Keri" }, { "@type": "Person", "name": "Custals, Lillian" }, { "@type": "Person", "name": "Carey, Maverick" }, { "@type": "Person", "name": "Hansell, Dennis" }, { "@type": "Person", "name": "Carlson, Craig A." } ], "keywords": [ "Carbon, nitrogen and phosphorus", "Data acquisition", "Data analysis", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1318", "name": "Wind\u2013Wave Modeling: Where We Are, Where to Go.", "description": " - We perform a critical analysis of the present approach in wave modeling and of the related results. While acknowledging the good quality of the best present forecasts, we point out the limitations that appear when we focus on the corresponding spectra. Apart from the meteorological input, these are traced back to the spectral approach at the base of the present operational models, and the consequent approximations involved in properly modeling the various physical processes at work. Future alternatives are discussed. We then focus our attention on how, given the situation, to deal today with the estimate of the maximum wave heights, both in the long term and for a specific situation. For this, and within the above limits, a more precise evaluation of the wave spectrum is shown to be a mandatory condition. - , - Refereed - , - 14.A - , - Sea state - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1318", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1318", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1318", "url": "https:\/\/hdl.handle.net\/11329\/1318" }, "author": [ { "@type": "Person", "name": "Cavaleri, Luigi" }, { "@type": "Person", "name": "Barbariol, Francesco" }, { "@type": "Person", "name": "Benetazzo, Alvise" } ], "keywords": [ "Wind wave modeling", "Wave spectrum", "Wave maxima", "Parameter Discipline::Physical oceanography::Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1027", "name": "National Reference Stations Biogeochemical Operations Manual Version 3.3.", "description": " - This manual outlines best-practice techniques in biogeochemical and blue-water oceanography for ensuring the output of reliable, quality data to the end-user community. The aim is for sampling, analytical, and reporting standards to be at least equivalent to: the WOCE (World Ocean Circulation Experiment) and JGOFS (Joint Global Ocean Flux Study) studies. - , - Published - , - Current - , - 14 - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Microbe biomass and diversity - , - Oxygen - , - Nutrients - , - Subsurface salinity - , - Particulate matter - , - Inorganic carbon - , - Fish abundance and distribution - , - Subsurface temperature - , - Ocean colour - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1027", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1027", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1027", "url": "https:\/\/hdl.handle.net\/11329\/1027" }, "contributor": [ { "@type": "Organization", "name": "Hobart, Australia" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::discrete water samplers", "Instrument Type Vocabulary::plankton nets", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1165", "name": "Ocean Gliders delayed mode QA\/QC best practice manual Version 2.1. [SUPERSEDED by DOI: 10.26198\/5c997b5fdc9bd]", "description": " - This document is the IMOS Ocean Gliders' Best Practice manual for delayed mode processed data. Ocean Gliders is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). This document describes the quality analyses\/quality control (QA\/QC) methods and correction procedures employed by the Ocean Gliders facility for delayed mode glider data files produced by the facility. - , - Published - , - Superseded - , - 14.A - , - Sea surface salinity - , - Subsurface salinity - , - Subsurface temperature - , - Sea surface temperature - , - Particulate matter - , - Oxygen - , - Ocean colour - , - Subsurface Currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1165", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1165", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1165", "url": "https:\/\/hdl.handle.net\/11329\/1165" }, "author": [ { "@type": "Person", "name": "Woo, Mun" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::optical backscatter sensors", "Instrument Type Vocabulary::ocean colour radiometers", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/458.2", "name": "Marine Sampling Field Manual for AUV's (Autonomous Underwater Vehicles) [Version 3].", "description": " - The primary aim of this field manual is to establish a consistent approach to marine benthic sampling using AUVs and facilitate statistically sound comparisons between studies. This manual will focus on hover class AUVs designed to survey the seabed due to their proven use in marine benthic monitoring compared to other marine imagery platforms (described in the next section of this chapter). It will not consider cruising class AUVs. The scope of the manual is to cover everything required from equipment, pre-survey preparation, field procedures and post-survey procedure for using hover class AUVs to photographically survey seabed assemblages found on Australia\u2019s continental shelf regions. Deep-sea environments are currently excluded from this field manual as we do not currently have an AUV in Australia capable of image-based surveys at these depths. Although it should be noted that AUV-based photographic surveys of the deep-sea benthos have been successfully undertaken Marine Sampling Field Manuals for Monitoring Australia\u2019s Commonwealth Waters Version 3 internationally (e.g. Morris et al. 2014; 2016; Milligan et al. 2016). For further information on the advantages and disadvantages of AUVs compared to other benthic imagery and sampling platforms, refer to Comparative assessment of seafloor sampling platforms Przeslawski et al 2018). - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.a - , - Benthic invertebrate abundance and distribution - , - Mature - , - Best Practice - , - Manual - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/458.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/458.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/458.2", "url": "https:\/\/hdl.handle.net\/11329\/458.2" }, "author": [ { "@type": "Person", "name": "Monk, J" }, { "@type": "Person", "name": "Barrett, N" }, { "@type": "Person", "name": "Bridge, T" }, { "@type": "Person", "name": "Carroll, A" }, { "@type": "Person", "name": "Friedman, A" }, { "@type": "Person", "name": "lerodiaconou, D" }, { "@type": "Person", "name": "Jordan, A" }, { "@type": "Person", "name": "Kendrick, G" }, { "@type": "Person", "name": "Lucieer, V" }, { "@type": "Person", "name": "Hill, N." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Autonomous Underwater Vehicles (AUV)", "Seafloor surveys", "Benthic surveys", "Benthic sampling", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data processing", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2383", "name": "Biological sampling procedures for fish and crustaceans: Fin clip for genetics. Version 1.4", "description": " - Onboard the DF Nansen, genetic samples are usually taken from species with a large geographical range, and that are commercially important in a larger region. The results are used to study population genetics and connectivity. The results can also be used to study migration, sexual maturity and other biological processes. We might also take genetic samples for species identification for taxonomically challenging species. Normally the genetic sample taken onboard is a fin clip, which is what is described in this procedure. However, we might occasionally take a muscle sample (example sharks or rays) or a defined part of an invertebrate for genetic studies. The general procedure is nevertheless the same. - , - NORAD - , - Published - , - Non Refereed - , - Current - , - Concept - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2383", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2383", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2383", "url": "https:\/\/hdl.handle.net\/11329\/2383" }, "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research, Norway for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "Genetic samples", "Population genetics", "Biological sampling", "Dr. Fridtjof Nansen\/RV", "Other biological measurements", "Parameter Discipline - Biological oceanography - Fish", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2528", "name": "ISO 23893-1:2007. Water quality \u2014 Biochemical and physiological measurements on fish. Part 1: Sampling of fish, handling and preservation of samples. Edition 1.", "description": " - ISO 23893-1:2007 provides guidance on how to sample fish for determination of biochemical and physiological characteristics, such as the composition and enzyme activities of blood, liver, muscle and other tissues in order to asses the health of fish in the field as well as in the laboratory. The biochemical and physiological variables used for this purpose are often called biomarkers. ISO 23893-1:2007 includes recommendations and methods for: obtaining a site\u2011specific sample of a representative number of fish; sampling fish tissues in the field and in the laboratory; and handling and preservation of samples prior to analysis of biochemical and physiological variables. - , - Published - , - Refereed - , - Current - , - 14.a - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2528", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2528", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2528", "url": "https:\/\/hdl.handle.net\/11329\/2528" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Fish sampling", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/978", "name": "Volume 5: OGC CDB Radar Cross Section (RCS) Models, Version 1.1.", "description": " - This CDB volume provides all of the information required to store Radar Cross Section (RCS) data within a conformant CDB data store. Please note that the current CDB standard only provides encoding rules for using Esri ShapeFiles for storing RCS models. However, this Best Practice has been modified to change most of the ShapeFile references to \u201cvector data sets\u201d or \u201cvector attributes\u201d and \u201cPoint Shapes\u201d to \u201cPoint geometries\u201d. This was done in recognition that future versions of the CDB standard and related Best Practices will provide guidance on using other encodings\/formats, such as OGC GML. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/978", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/978", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/978", "url": "https:\/\/hdl.handle.net\/11329\/978" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/744", "name": "Performance Verification Statement for the Campbell Scientific Instruments pH Sensor.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al., (2011). A total of 265 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the Campbell Scientific Instruments pH sensor which measures pH using an ion-sensitive field effect transistor. The CSI pH sensor operated continuously throughout the entire lab test and generated 6294 pH measurements at 15 minute intervals. The total range of pH measured by the CSI was 6.805 to 8.560, compared to the range of our reference pH of 6.943 to 8.502. In general, the CSI measurements tracked changing pH conditions among all water sources and temperature ranges including the rapid pH shifts from acid\/base additions, but the magnitude and direction of the offset changed for each water type (Fig.3). The mean of the differences between the CSI pH measurement and reference pH was -0.019 \u00b10.319 (N=265), with a total range of -0.668 to 0.624. Instrument measurements conducted after ten weeks with the second seawater trial showed an increase offset (mean difference = 0.345 \u00b10.020; N=9) compared to measurements from the first week (mean difference = 0.084 \u00b1 0.055; N=27). At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6oC and 33. The measured ambient pH range from our 84 discrete reference samples was 7.933 \u2013 8.077. The CSI operated continuously over the entire deployment and generated 2579 observations with a measured range in ambient pH from 7.759 to 7.960. The average and standard deviation of the measurement difference between the CSI and reference pH for the deployment was -0.152 \u00b1 0.023 (N=84), with a total range of -0.253 to 0.115. At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5oC and 34.4. The measured ambient pH range from our 101 discrete reference samples was 7.814 \u2013 8.084. The CSI operated continuously over 88 days and generated 4211 observations with a measured range in ambient pH from 7.886 to 8.470. The average and standard deviation of the differences between CSI and reference pH was 0.221 \u00b10.066 (N=101), with a total range in the differences of 0.076 to 0.316. At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9oC and 12.8. The measured pH range from our 107 discrete reference samples was 8.024 \u2013 8.403. The CSI operated successfully over the entire 30 day deployment with a measured range in ambient pH from 7.693 to 7.979. A programming error initiated by ACT personnel during set-up resulted in the shutter being closed during every other observation, so the useable number of observations was reduced from 2756 to 1378. No comparative data with reference samples were lost due to this programming error. The average and standard deviation of the measurement difference between the CSI and reference pH was 0.398 \u00b10.040, with the total range of differences from -0.472 to -0.316. At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2oC and 0.03. The measured ambient pH range from our 98 discrete reference samples was 8.013 to 8.526. The CSI-pH operated continuously over 29 days and generated 2680 observations with a range in ambient pH from 7.240 to 7.946. The average and standard deviation of the difference between CSI and reference pH was -0.676 \u00b1 0.109 (N=98), with a total range of -0.894 to -0.517. A comparison of the CSI pH versus reference pH across all sites indicated that the response was variable among test conditions. The CSI under reported pH by an average of 0.15, 0.40, and 0.68 pH units at Moss Landing, Chesapeake Bay, and the Great Lakes respectively. In contrast the CSI over reported pH relative to the dye reference measurement by 0.22 for the Hawaii field test. Lastly, it is worth emphasizing that the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. Continuous in situ monitoring technologies, such as the CSI, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/744", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/744", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/744", "url": "https:\/\/hdl.handle.net\/11329\/744" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2022", "name": "Technical annex on the determination of Per- and polyfluoroalkyl substances (PFASs) in biota.", "description": " - (PFAAs) are global environmental contaminants. PFOS and PFOA are chemically and biologically inert and very stable (Poulsen et al. 2005). PFOS meets the P (Persistent) and vP (very Persistent) criteria due to slow degradation. PFOS is also bioaccumulative (B) and toxic (T) (OSPAR 2005). PFOA is considered very persistent (vP) and toxic (T) (Van der Putte et al. 2010). PFOA also has the capacity to undergo long-range transportation. Per- and polyfluoroalkylsubstances (PFAS) can bind to serum albumin and accumulate in blood and organs (Jones et al., 2003). Accumulation in the marine food web starts from the bottom of the food chain, with invertebrates such as zooplankton and molluscs, followed by crustaceans, and then fish (Van de Vijver et al., 2003). The highest PFAS concentrations have been found in blood and internal organs (e.g. liver, kidney) of top predators, such as marine mammals (Martin et al., 2004; Ahrens et al., 2009) and fish\u2010eating birds (Kannan et al., 2001). Fish species widely used for monitoring of organic contaminants are also suitable for PFAS analysis. Based on the literature, liver is the first choice of tissue for monitoring purposes but PFAS has also been detected in other organs (e.g. blood and muscle at lower concentrations) (Ahrens et al., 2010). The following guideline focuses on the sampling and extraction of PFASs from biota and address the special aspects of the sampling matrix and is based on a previous ICES guideline for PFAS analysis in biota (Ahrens et al., 2010). It also provides advice for the analysis of PFASs in biota which includes the following steps: \u2022 sampling and tissue selection; \u2022 pretreatment; \u2022 analytical determination. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2022", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2022", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2022", "url": "https:\/\/hdl.handle.net\/11329\/2022" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Other inorganic chemical measurements", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/709", "name": "Lipophilic organic material: An apparatus for extracting solids used for their concentration from sea water.", "description": " - Lipophilic organic substances, whether man-made, mobilized by human activities, or of recent natural origin, are usually dissolved in sea water at such minute concentrations that the chemical characterization and quantitative determination of single compounds are possible only after a sufficient quantity has been collected by concentration from relatively large (of the order of 100-1000 litres) volumes. Essentially two techniques have found widespread application in marine organic chemistry and pollution research, i.e., extraction, either batchwise or continuous, with a suitable water-immiscible solvent (Duinker and Hillebrand, 1983, and references cited therein) or sorption onto solids (Duinker and Hillebrand 1983, loco cit.; Ehrhardt, 1983). Described below is a new apparatus and technique for purifying sorbant material from substances interfering with ultra-trace analyses and for desorbing analytes. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/709", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/709", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/709", "url": "https:\/\/hdl.handle.net\/11329\/709" }, "author": [ { "@type": "Person", "name": "Ehrhardt, M." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/800", "name": "Performance Verification Statement for the WET Labs ECO-BB-SB Turbidity Probe.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ turbidity sensors. Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of the amount of suspended material. Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies to define turbidity in very specific terms based on optical methods of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as a relative measure of suspended sediment concentration. As described below in more detail, field tests that examine manufacturers\u2019 turbidity values against simultaneously determined measurements of transmissivity, total suspended solids, and particulate organic carbon were designed only to examine an instrument\u2019s ability to track changes in water clarity through time and NOT to determine how well the instrument\u2019s values directly correlated with the ancillary measurements. The use of turbidity sensors to estimate a specific parameter (such as TSS) in nature requires local calibration to take into account many factors including particle composition, size and shape, along with other any other light scattering influences from dissolved organic compounds. In this Verification Statement, we present the performance results of the WET Labs ECO-BB-SB Turbidity Probe evaluated in the laboratory and under diverse environmental conditions in moored field tests. A total of seven different field sites were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Particulate Matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/800", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/800", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/800", "url": "https:\/\/hdl.handle.net\/11329\/800" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Scianni, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/520", "name": "Ocean-Colour Data Merging.", "description": " - There are several ocean colour radiometry missions currently in orbit. Significant improvements in spatial coverage and temporal resolution can be achieved by combining data from the various missions. This report details the complexities arising from radiometric, spectral and other factors of combining data from the different missions, focusing on issues associated with data merging, why it is necessary, and what is needed to construct high quality data sets of merged ocean colour. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: James Aiken, Watson Gregg, Ewa Kwiatkowska, St\u00e9phane Maritorena, Fr\u00e9d\u00e9ric M\u00e9lin, Hiroshi Murakami, Simon Pinnock and Claire Pottier - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/520", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/520", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/520", "url": "https:\/\/hdl.handle.net\/11329\/520" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1151", "name": "OGC Moving Features Encoding Extension - JSON. Version 1.0.", "description": " - This document proposes a JavaScript Object Notation (JSON) encoding representation of movement of geographic features as an encoding extension of OGC Moving Features ([OGC 14-083r2] and [OGC 14-084r2]). A moving feature, typically a vehicle and pedestrian, can be expressed as a temporal geometry whose location continuously changes over time and contains dynamic non-spatial attributes whose values vary with time. This Best Practice describes how to share moving feature data based on JSON and GeoJSON (a JSON format for encoding geographic data structures). In addition, this document provides an example of RESTful approaches as a Feature Service Interface that has the potential for simplicity, scalability, and resilience with respect to exchange of moving feature data across the Web. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1151", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1151", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1151", "url": "https:\/\/hdl.handle.net\/11329\/1151" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1976", "name": "CETAF Code of Conduct on Access and Benefit-Sharing . Updated 29 October 2018", "description": " - CETAF, the Consortium of European Taxonomic Facilities, is a networked consortium of non commercial scientific institutions in Europe formed to promote training, research and understanding of systematic biology and palaeobiology. Together, CETAF institutions hold very substantial biological (zoological and botanical), palaeobiological, and geological collections and provide the resource for the work of thousands of researchers in a variety of scientific disciplines. CETAF has developed and adopted this Code of Conduct for Access and Benefit-Sharing, together with the annexed Best Practice, as a response to Article 20 in the Nagoya Protocol, Regulation 511\/2014 of the European Parliament and Council of 16 April 2014 on compliance measures for users from the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilisation in the Union (hereafter the \u2018EU Regulation\u2019) and the subsequent Commission Implementing Regulation (EU) 2015\/1866 of 13 October 2015 laying down detailed rules for the implementation of Regulation (EU) No 511\/2014 of the European Parliament and of the Council as regards the register of collections, monitoring user compliance and best practices (hereafter the \u2018Implementing Act\u2019) and specifically in response to Articles 8 and 13 of the EU Regulation. Throughout the Code of Conduct, Best Practice and other annexed documents, the term \u2018Biological material\u2019 is to be read as including the genetic resources that are within that material. The principles and practices stated below are designed to fully support CETAF members\u2019 operations as taxonomic collection-holding and non-commercial biological research institutions in complying with Access and Benefit Sharing (ABS) legal and ethical requirements1. The documents (i) outline the Code of Conduct governing principles under which collections are managed and collection-based research conducted in CETAF member institutions; (ii) provide details of best practices to ensure implementation of those principles, and guidance on ABS-relevant actions to be taken by institutions and individuals in common workflows (Best Practices, Annex 1); (iii) provide a selection of tools and check lists to support the advice given (Practical Guidance, Annex 5). The CETAF Code of Conduct was developed by CETAF\u2019s Legislations and Regulations Liaison Group. They drew on their understanding of the processes and practices of their institutions, their understanding of the Nagoya Protocol and its implications, and a wide range of existing Codes of Conduct and Best practice documents, including particularly the Principles on Access to Genetic Resources and Benefit-Sharing for Botanic Gardens2, the Swiss Academy of Sciences model Agreement on Access and Benefit Sharing for Non-Commercial Research3, and the Code of Conduct of the International Plant Exchange Network (IPEN)4. - , - Published - , - Current - , - 14.a - , - Mature - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1976", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1976", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1976", "url": "https:\/\/hdl.handle.net\/11329\/1976" }, "contributor": [ { "@type": "Organization", "name": "Consortium of European Taxonomic Facilities (CETAF)" } ], "keywords": [ "CETAF", "Nagoya Protocol", "Biological oceanography", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1505", "name": "Report on Best Practice in the implementation and use of new systems in JERICO-RI. Part 1: HF-radar systems & Part 2: Cabled coastal observatories. WP2, Deliverable 2.4. Version 1.0.", "description": " - Part 1: The main objective of this document is to offer a comprehensive \u201cBest Practices\u201d document by performing a compilation of the existing references and expanding the recommendations to ensure a broader approach to optimal operation of HF-radar systems with independence from manufacturer or antenna design and setup. Several guidelines and best practice documents have been widely used as a basis for elaboration of this report, as listed in Section 1. Authors of this deliverable acknowledge the contributions of Teresa G Updyle (Center for Coastal Physical Oceanography, Old Dominion University) and MARACOOS \/ IOOS. Part 2: The JERICO network is constantly working to improve its core functionality, which is the ability to provide comprehensive observations of Europe\u2019s coastal seas and oceans. This means integrating new, promising observing technologies that can expand its spatial reach. While building the JERICO-NEXT project, cabled coastal observatories were identified as particularly attractive choices from this point of view, and a distinct task, Task 2.3 in Work Package 2 (WP2), was designed to facilitate their assimilation into the network\u2019s established observing system. Cabled observatories offer the desirable advantage of freeing marine observing activity from the merciless restrictions of limiting power and constrained bandwidth for communication and data transfer, thereby allowing measurements to be made with a broad variety of sensors and systems even under extreme conditions (e.g., storm events, under ice, etc.). Seven such observatories are being operated by JERICO-NEXT partners, all of whom are participating in Task 2.3. Task 2.3 of JERICO-NEXT deals specifically with the harmonization of the observing systems within the JERICO infrastructure network. The present document, constituting Part 2 of Deliverable D2.4 dealing with cabled coastal observatories of the JERICO-NEXT project, gathers and reports on the outcomes of the workshops on Cabled Observatories (MS9 and MS13) that were planned within the task. The document provides an overview of best practices utilized during the planning and installation phases of cabled observatories, and reviews the main relevant operational aspects, applications, and data quality assessment and management issues. It builds on a previous JERICO-NEXT deliverable, specifically, D2.1: \u201cReport on the status of HF-radar systems and cabled coastal observatories within the JERICO network\u201d (http:\/\/www.jerico-ri.eu\/download\/jerico-next-deliverables\/JERICO-NEXT-Deliverable-2.1.pdf), redacted by AZTI and UPC. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1505", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1505", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1505", "url": "https:\/\/hdl.handle.net\/11329\/1505" }, "author": [ { "@type": "Person", "name": "Horstmann, Jochen" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Quentin, C\u00e9line" }, { "@type": "Person", "name": "Reyes, Emma" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "del Rio, Joaquin" }, { "@type": "Person", "name": "Berry, Alan" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO NEXT" } ], "keywords": [ "Coastal cabled observatories", "HF Radar", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1074", "name": "OGC\u00ae IndoorGML, Version 1.0.", "description": " - This OGC\u00ae IndoorGML standard specifies an open data model and XML schema for indoor spatial information. IndoorGML is an application schema of OGC\u00ae GML 3.2.1. While there are several 3D building modelling standards such as CityGML, KML, and IFC, which deal with interior space of buildings from geometric, cartographic, and semantic viewpoints, IndoorGML intentionally focuses on modelling indoor spaces for navigation purposes. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1074", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1074", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1074", "url": "https:\/\/hdl.handle.net\/11329\/1074" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2441", "name": "Ocean Best Practices System Endorsement: Guidance for the Ocean Community, Version 2024-03-20.", "description": " - This document provides guidelines and a template for the endorsement of ocean practices to be recognised by the Ocean Best Practices System (OBPS), an international IOC programme supported by the Global Ocean Observing System (GOOS) and International Oceanographic Data and Information Exchange (IODE). Recommendations for endorsed practices will be submitted to the OBPS as described in this document. The recommendation will include the processes used for assessment, including participating multi-institutional organizations, and OBPS will validate the conformance to the process. - , - Published - , - Refereed - , - Current - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2441", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2441", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2441", "url": "https:\/\/hdl.handle.net\/11329\/2441" }, "contributor": [ { "@type": "Organization", "name": "Ocean Best Practices System" } ], "keywords": [ "Best practices", "Endorsed practices", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/569", "name": "Visibility Sensors Implementation Plan.", "description": " - The Federal Aviation Administration (FAA) has used visibility sensors at major airports for many years, but the requirement within the maritime industry came in 1980, when the MV Summit Venture hit the Sunshine Skyway Bridge over Florida\u2019s Tampa Bay. The disaster, in part due to lack of adequate visibility, was the impetus for the present day Physical Oceanographic Real-time System (PORTS\u00ae) system, and prompted much interest in and research on visibility sensors. The addition of visibility sensors to the PORTS\u00ae suite of instruments offers users another valuable tool to increase efficiency and to help avoid disasters that could cause loss of life and extensive property damage. The Center for Operational Oceanographic Products and Services (CO-OPS) became involved in testing visibility sensors in 1999, after signing a Memorandum of Understanding (MOU) with the National Weather Service (NWS) to test Belfort Model 6100 visibility sensors at the Sterling Research and Development Center in Sterling, VA. Several other visibility sensors were tested from 1999 through 2003. Since 1999, the Ocean Systems Test and Evaluation Program (OSTEP), has evaluated eight different sensors at five separate locations. These eight sensors represent four different kinds of technologies, and the evaluations have been conducted in cooperation with five Federal agencies. None of the sensors tested seemed to meet all 15 standards set forth by the NWS in the Federal Meteorological Handbook (FMH) #1; however, an FAA requirement for a new visibility sensor provided an excellent interagency opportunity to partner in the test and evaluation of the latest technology. Based on a six-month FAA test conducted at the John A. Volpe National Transportation Systems Center at the Otis Weather Test Facility at Cape Cod, MA, the FAA selected the Vaisala FS11, which uses forward scatter technology, as its sensor of choice. OSTEP found that results from several other tests suggest that the Vaisala FS11 is also the best sensor for marine applications. Additionally, OSTEP is participating with the U. S. Coast Guard (USCG) in a joint test of six sensors in a long-term field test that began in March 2008 at U.S. Army Corps of Engineers (USACE) Field Research Facility (FRF) in Duck, NC. OSTEP is evaluating two Vaisala FS11 sensors to determine the optimal maintenance schedule, including how often the sensor lens must be cleaned, as well as to determine how the FS11 sensor readings compare with those of the other sensors. In addition to the sensors at the FRF, OSTEP is also testing a Vaisala FS11 located in the courtyard at the CO-OPS Chesapeake facility. This fully functional sensor has performed well, has done a good job of monitoring itself, and has been interfaced successfully to a Sutron Xpert data collection platform (DCP). The sensor is now generating data, and, although the data are not ingested into the CO-OPS system, they are being transmitted on the GOES test channel. The steps toward full implementation of an operational visibility sensor system include data system integration, site reconnaissance and selection of a specific PORTS\u00ae location, development of deployment standards, site preparation, development of a proper maintenance schedule, and performance of preliminary installation and startup. Additionally, as the visibility product is fully developed, users must be educated and a Web interface must be built to enable ease of use. User education is critically important to achieve the desired results. Because visibility data often represent a small geographic area, users and product developers should consider placing multiple sensors within an operational visibility system so that users can observe the appropriate range of existing conditions. Continuing efforts are needed to address issues such as power requirements for the FS11 and long-term field tests. Visibility sensors consume significant power due to hood and lens heaters, and presently require access to 110-Volt service to deliver accurate and reliable information. Sensors that are currently in the field at the USACE FRF and at the Chesapeake facility offer an ideal way to conduct long-term tests that provide more information about power requirements, corrosion, and maintenance issues. Collaboration with other agencies is in the forefront of this visibility effort and has the potential to improve the technology. For example, the FAA has continued testing the FS11 and has worked with Vaisala to make modifications that improve its function within the aviation application. These changes have led Vaisala to offer the FS11 as a unique FAA sensor with its own part number; however the modifications do not make a significant difference for maritime use. Even so, the FAA keeps CO-OPS apprised of the status of modifications through distribution of a PowerPoint presentation, and the opportunity for partnership with the FAA and other agencies remains. Interagency cooperation may play a role in finding a solution to challenging issues, such as the visibility sensor\u2019s large power requirements. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/569", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/569", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/569", "url": "https:\/\/hdl.handle.net\/11329\/569" }, "author": [ { "@type": "Person", "name": "Roggenstein, E." }, { "@type": "Person", "name": "Bushnell, M." }, { "@type": "Person", "name": "Krug, W." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Visibility sensor", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/461", "name": "Large-scale marine protected areas : guidelines for design and management.", "description": " - Although focused on aiding managers, these Guidelines are for anyone involved in supporting LSMPAs or the communities that hold an interest in them. It is hoped these Guidelines will also assist new LSMPAs from the earliest design phase, and enhance the management of existing LSMPAs from planning and implementation through ongoing evaluation. Ultimately, the goal is to increase the effectiveness of LSMPAs so that they contribute to global conservation targets in ways that truly benefit humanity. - , - Published - , - Reproduction of this publication for educational or other non-commercial purposes is authorized without prior written permission from the copyright holder provided the source is fully acknowledged. Reproduction of this publication for resale or other commercial purposes is prohibited without prior written permission of the copyright holder - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/461", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/461", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/461", "url": "https:\/\/hdl.handle.net\/11329\/461" }, "author": [ { "@type": "Person", "name": "Lewis, N." }, { "@type": "Person", "name": "Day, J.C." }, { "@type": "Person", "name": "Wilhelm, A." }, { "@type": "Person", "name": "Wagner, D." }, { "@type": "Person", "name": "Gaymer, C." }, { "@type": "Person", "name": "Parks, J." }, { "@type": "Person", "name": "Friedlander, A." }, { "@type": "Person", "name": "White, S." }, { "@type": "Person", "name": "Sheppard, C." }, { "@type": "Person", "name": "Spalding, M." }, { "@type": "Person", "name": "San Martin, G." }, { "@type": "Person", "name": "Skeat, A." }, { "@type": "Person", "name": "Taei, S." }, { "@type": "Person", "name": "Teroroko, T." }, { "@type": "Person", "name": "Evans, J." } ], "contributor": [ { "@type": "Organization", "name": "IUCN" } ], "keywords": [ "MPA", "Marine protected areas" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1917", "name": "Best practices and recommendations for plankton imaging data management: Ensuring effective data flow towards European data infrastructures. Version 1.", "description": " - The best practices and recommendations for plankton imaging data management enable users to report a detailed taxonomic characterisation of plankton observations as well as quantitative information that is useful for ecological studies. This format allows biodiversity data portals to extend their scope beyond species occurrence data. Furthermore, proposing the use of more Darwin Core fields in this format, users now have the possibility to publish manually validated datasets, but also datasets produced by fully automated plankton identification workflows. The proposed data and file formats are simple and both human- and machine-readable to automatise workflows. This format will allow data generators to submit enriched plankton imaging datasets to the international biodiversity data portals, (Eur)OBIS and EMODnet Biology. We encourage plankton imaging data generators to implement these workflows into their pipelines, to share their data with the international data portals easily, enriching these databases with this valuable data. - , - European Union; JERICO-S3 project, WP6- D6.4, funded from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement no. 871153. - , - Published - , - Also published as JERICO Deliverable JERICO-S3 D6.4-WP6 -Best practices & recommendations for plankton imaging data management, JERICO-S3-WP6-D6.4-07.04.2022-V1.0 - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Mature - , - Novel (no adoption outside originators) - , - Species distributions - , - Species abundances - , - Species morphology - , - Taxonomic\/phylogenetic diversity - , - Community abundance - , - Plankton - , - In-situ plankton imaging instruments - , - Benchtop plankton imaging instruments - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1917", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1917", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1917", "url": "https:\/\/hdl.handle.net\/11329\/1917" }, "author": [ { "@type": "Person", "name": "Martin-Cabrera, Patricia" }, { "@type": "Person", "name": "Perez Perez, Ruben" }, { "@type": "Person", "name": "Irisson, Jean-Olivier" }, { "@type": "Person", "name": "Lombard, Fabien" }, { "@type": "Person", "name": "M\u00f6ller, Klas Ove" }, { "@type": "Person", "name": "R\u00fchl, Saskia" }, { "@type": "Person", "name": "Creach, Veronique" }, { "@type": "Person", "name": "Lindh, Markus" }, { "@type": "Person", "name": "Stemmann, Lars" }, { "@type": "Person", "name": "Schepers, Lennert" } ], "contributor": [ { "@type": "Organization", "name": "Flanders Marine Institute" } ], "keywords": [ "Plankton imaging instruments", "EurOBIS", "Darwin Core", "EMODnet Biology", "OBIS", "GBIF", "OBIS-ENV-DATA", "Phytoplankton", "Zooplankton", "Data processing", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2542", "name": "ISO\/DIS 16094-3. Water quality \u2014 Analysis of microplastic in water \u2014 Part 3: Thermo-analytical methods for waters with low content of suspended solids including drinking water. Edition 1.", "description": " - This document provides key principles for the analysis of microplastics in drinking water and water with low content of natural suspended solids using thermo-analytical methods. This document is applicable for the determination of types of polymers and mass of microplastics in the sample. This document is not applicable for the determination of particle size, particle shape and particle numbers. This document is applicable for the detection of microplastics in drinking water and waters with low content of natural total suspended solids (TSS)1. NOTE However, the described detection procedures can also be applied to other sorts of samples. Whenever a laboratory applies this standard for detection of microplastics in water with higher contents of TSS than defined here, additional quality assessment and control (including preparation) is recommended to be applied to verify that detection methods are also appliccable for higher amounts of TSS. This standard describes the detection of different sort of polymers, which are the main ones (most used in industry and most abundant in the environment) being: polyethylene (PE), polypropylene (PP), polyethylene terephthalate (PET), and polystyrene (PS). These types of polymers can be analysed by all thermo-analytical methods. Depending on the used thermo-analytic methods, additional further polymer can be detected, such as polyvinylchloride (PVC), polycarbonate (PC), poly-methylmethacrylate (PMMA) polyamides (PA), polyurethanes (PU) and as well as signals from PS-co-polymers2. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2542", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2542", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2542", "url": "https:\/\/hdl.handle.net\/11329\/2542" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Microplastics", "Anthropogenic contamination", "Human activity", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/344.2", "name": "OceanBestPractices Guidelines for Editors, Version 2024-04-30.", "description": " - This document will guide Editors through the workflow stages and the process of approving, rejecting, or editing items submitted to OceanBestPractices. - , - Published - , - Current - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/344.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/344.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/344.2", "url": "https:\/\/hdl.handle.net\/11329\/344.2" }, "author": [ { "@type": "Person", "name": "Simpson, Pauline" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO\/IOC Project Office for IODE" } ], "keywords": [ "Guidelines", "Digital repositories", "Ocean Best Practices System", "Parameter", "Data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/811", "name": "Performance Verification Statement for the Chelsea AQUAtracka III fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the Chelsea Technologies Group AQUAtracka III fluorometer evaluated in the laboratory and under diverse field conditions to in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.chelsea.co.uk) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/811", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/811", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/811", "url": "https:\/\/hdl.handle.net\/11329\/811" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1488", "name": "Southern Ocean Time Series (SOTS) Net Community Production (NCP) Calculation Procedure and MATLAB Code. Version 1.0.", "description": " - Local biological production impacts carbon cycling and the Southern Ocean Time Series (SOTS) moorings measure several variables important to these processes including solar radiation, chlorophyll fluorescence, optical backscatter, dissolved nitrate, dissolved oxygen, and total dissolved gases (using a total gas tension device). The oxygen and total gas tension observations can be combined to separate physical and biological contributions to surface mixed layer oxygen budgets and thus to yield estimates of net community production. This procedure, and the associated MATLAB code, are the subjects of this report. The code is currently enabled explicitly for the first three mooring deployments at SOTS with full suites of successful biogeochemical sensors required for the NCP calculations: Pulse-7, Pulse-9, and SOFS-7.5. It is constructed to allow expansion to future SOTS data sets, as well as other time series observations. - , - Published - , - Current - , - 14.A - , - Subsurface Salinity - , - Subsurface Temperature - , - Oxygen - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1488", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1488", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1488", "url": "https:\/\/hdl.handle.net\/11329\/1488" }, "author": [ { "@type": "Person", "name": "Weeding, Ben" }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2435", "name": "Quality-control procedures for ship-board biogeochemical time series data. EuroSea Deliverable D4.4. [Version 2]", "description": " - This framework will be incorporated into a time-series (TS) data synthesis product. The framework will be used to indicate the consistency of biogeochemical (BGC) time-series data between different ship-based time-series sites. It differentiates between three different \u201cconsistency categories\u201d: 1) Metadata Availability, 2) Measurement and Analyzing Techniques and 3) Applied Quality-Control (QC). For each of these categories, a flagging scheme will be implemented based upon pre-defined \u201cconsistency criteria\u201d. All data consistency flags combined provide a comprehensive and easy to understand indication of the degree of consistency of the incorporated time-series data. A special emphasis is put upon the third consistency category, \u201cApplied Quality Control\u201d, as - despite of the potential to increase the precision and accuracy of the measured data - only very few QC procedures are established within the BGC time-series community. The heterogenic nature of the time-series sites does not permit a \u201cOne-fit-all, Best-Case\u201d QC routine, as one routine only cannot meet the needs of all time-series sites. To accommodate for this, an overarching QC guideline based upon a decision tree model has been developed, which leads to the most appropriate QC routine available. The suggested QC routines in turn are further categorized from \u201cBest\u201d to \u201cMinimum\u201d, depending on their potential to identify bad samples and\/or to detect systematic biases. The guideline is applicable for all BGC ship-based time series sites and the recently developed \u201cRegular Outlier Test\u201d (ROT, EuroSea milestone MS13) has been incorporated and categorized as \u201cBest\u201d. Evaluation results of the ROT QC routines are also included. - , - European Union Horizon H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2435", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2435", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2435", "url": "https:\/\/hdl.handle.net\/11329\/2435" }, "author": [ { "@type": "Person", "name": "Lange, Nico" }, { "@type": "Person", "name": "Pfeil, Benjamin" }, { "@type": "Person", "name": "Fiedler, Bj\u00f6rn" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Biogeochemical time series data", "EuroSea", "Chemical oceanography", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/934", "name": "SCOR WG149 Handbook to support the SCOR Best Practice Guide for Multiple Drivers Marine Research.", "description": " - Marine species and ecosystems are exposed to a wide range of environmental change \u2013 both detrimental (threats) and beneficial \u2013 due to human activities. Some of the changes are global, whereas others are regional or local. It is important to distinguish the scale of each threat as the solutions will differ. For example, the mitigation of a global problem requires a global response, which is more difficult to achieve than addressing a local problem with a local response. These wide-ranging changes are often referred to drivers or stressors. The term multiple drivers refers to the concurrent alteration of multiple environmental properties, that are each biologically-influential, by anthropogenic pressures including climate change. These multiple environmental properties are commonly referred to as drivers or stressors, and include temperature, carbon dioxide, pH, oxygen, salinity, density, irradiance and nutrients, eutrophication, UV exposure, and point source pollutants (Figure 1). The multiple drivers framework represents a complex matrix of changing ocean properties, that will vary from locale to locale, and may also alter with season. - , - Published - , - Refereed - , - Current - , - 14.1.1 - , - Nutrients - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/934", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/934", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/934", "url": "https:\/\/hdl.handle.net\/11329\/934" }, "author": [ { "@type": "Person", "name": "Boyd, P.W." }, { "@type": "Person", "name": "Collins, S." }, { "@type": "Person", "name": "Dupont, S." }, { "@type": "Person", "name": "Fabricius, K." }, { "@type": "Person", "name": "Gattuso, J-P." }, { "@type": "Person", "name": "Havenhand, J." }, { "@type": "Person", "name": "Hutchins, D.A." }, { "@type": "Person", "name": "McGraw, C.M." }, { "@type": "Person", "name": "Riebesell, U." }, { "@type": "Person", "name": "Vichi, M." }, { "@type": "Person", "name": "Biswas, H." }, { "@type": "Person", "name": "Ciotti, A." }, { "@type": "Person", "name": "Dillingham, P." }, { "@type": "Person", "name": "Gao, K." }, { "@type": "Person", "name": "Gehlen, M." }, { "@type": "Person", "name": "Hurd, C.L." }, { "@type": "Person", "name": "Kurihawa, H." }, { "@type": "Person", "name": "Navarro, J." }, { "@type": "Person", "name": "Nilsson, G.E." }, { "@type": "Person", "name": "Passow, U." }, { "@type": "Person", "name": "Portner, H-O." } ], "contributor": [ { "@type": "Organization", "name": "University of Tasmania for Scientific Committee on Oceanic Research (SCOR)" } ], "keywords": [ "Ocean acidification", "Hypoxia", "pH", "Carbon dioxide", "SCOR WG149", "Meddle", "Meddle", "Parameter Discipline::Chemical oceanography::Nutrients", "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/85", "name": "Estimation of extreme wind wave heights.", "description": " - wind\/wave heights - , - This publication provides no simple estimates of extreme wind wave heights, but informative and authoritative support in their decision-making. - , - http:\/\/www.jodc.go.jp\/info\/ioc_doc\/JCOMM_Tech\/TR09.pdf - , - check with ET-WS (Val Swail) - , - Sea surface height - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/85", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/85", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/85", "url": "https:\/\/hdl.handle.net\/11329\/85" }, "author": [ { "@type": "Person", "name": "Lopatoukhin, L.J." }, { "@type": "Person", "name": "Rozhkov, V.A." }, { "@type": "Person", "name": "Ryabinin, V.E." }, { "@type": "Person", "name": "Swail, V.R." }, { "@type": "Person", "name": "Boukhanovsky, A.V." }, { "@type": "Person", "name": "Degtyarev, A. B." } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Extreme wind wave" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1011", "name": "Volume 11: OGC CDB Core Standard Conceptual Model. Version 1.0.", "description": " - This Open Geospatial Consortium (OGC) standard defines the conceptual model for the OGC CDB 1.0 Standard. The objective of this document is to provide an abstract core conceptual model for a CDB data store (repository). The model is represented using UML (unified modeling language). The conceptual model is comprised of concepts, schema, classes and categories as well as their relationships, which are used to understand, and\/or represent an OGC CDB data store. This enables a comparison and description of the CDB data store structure on a more detailed level. This document was created by reverse-engineering a UML model and documentation from the OGC CDB standard as a basis for supporting OGC interoperability. One of the important roles of this conceptual model is to provide a UML model that is consistent with the other OGC standards and to identify functional gaps between the current CDB data store and the OGC standards baseline. This document references sections of Volume 1: OGC CDB Core Standard: Model and Physical Database Structure [OGC 15-113]. NOTE: The simulation community uses the term \u201csynthetic environment data\u201d to mean all the digital data stored in some database or structured data store that is required for use by simulation clients. From the geospatial community perspective, these data are essentially the same as GIS data but with, in some cases, special attributes, such as radar reflectivity. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1011", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1011", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1011", "url": "https:\/\/hdl.handle.net\/11329\/1011" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1434", "name": "NOAA Marine Debris Shoreline Survey Field Guide.", "description": " - Marine debris has become one of the most widespread pollution problems in the world\u2019s oceans and waterways today. The NOAA Marine Debris Program (MDP) serves as a centralized marine debris resource within NOAA, coordinating and supporting activities within NOAA and with other federal agencies. The MDP uses partnerships to support projects carried out by state and local agencies, tribes, non-governmental organizations, academia, and industry. Marine debris monitoring programs are necessary to compare debris sources, amounts, locations, movement, and impacts across the US and internationally. Monitoring data can be used to evaluate the effectiveness of policies to mitigate debris and provide insight into priority targets for prevention. Thus, the NOAA MDP has developed standardized marine debris shoreline survey protocols to facilitate regional and site-specific comparisons. This document provides a standard data sheet and two different methods for shoreline monitoring and assessment. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1434", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1434", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1434", "url": "https:\/\/hdl.handle.net\/11329\/1434" }, "author": [ { "@type": "Person", "name": "Opfer, Sarah" }, { "@type": "Person", "name": "Arthur, Courtney" }, { "@type": "Person", "name": "Lippiatt, Sherry" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Marine Debris Program" } ], "keywords": [ "Marine debris", "Marine litter", "Plastic pollution", "Marine plastics", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/639", "name": "Policy brief: Best practice examples of existing economic policy instruments and potential new economic policy instruments to reduce marine litter and eliminate barriers to GES. D. 4.13.", "description": " - Marine litter is a complex problem and recognised as a major and growing environmental concern (UNEP, 2009). It threatens marine ecosystems and biodiversity (e.g. through ingestion or entanglement by marine species) and ultimately risks human well- being by damaging socioeconomic activities (e.g. losses to fishing or clean up costs) and posing health risks (e.g. ingestion of plastics through the food chain) (EEA, 2015). Marine litter originates from div erse and various, sources both land and sea -based, and the types of items which end up in the world\u2019s seas and oceans are both varying and numerous (UNEP, 2009). Those often identified include plastic caps and lids, bottles, plastic bags, hygiene products, food containers, fishing nets, and cigarette butts (Interwies et al. 2013). These items can be found in great quantities on the ocean floor, in the water column, floating at sea, and along shorelines and coasts (UNEP, 2009). Exasperating the issue of marine litter is the significant lack of knowledge and missing information about how and why this momentous problem persists (EEA, 2015). While scientists continue to work to understand how marine litter impacts marine ecosystems and biodiversity, as well as its subsequent effects on human health, current understanding and growing concerns mean that both society and policy makers alike recognise that increased efforts are needed to properly address the problem (EEA, 2015). Along these lines, European policy m akers established the EU Marine Strategy Framework Directive (MSFD) to protect, preserve and where possible restore the European marine environment to ensure clean and healthy seas by 2020 (EC, 2008). It identifies marine litter as a key threat requiring increased action from policy and selects its presence as one of eleven descriptors of Good Environmental Status (GES). Regulations (e.g. laws), economic instruments (e.g. taxes and deposit schemes) and soft measures (e.g. voluntary actions such as organised beach clean ups) will all be required to meet this policy demand (EC, 2008). Moreover, given the complexity of the problem combined with resource constraints, policy makers must seek to design and implement policies which are both cost effective as well as maximise benefits to society. The main objective of this policy brief is to provide a critical review and assessment of potential measures to reduce marine litter. The focus of this brief is on existing economic instruments implemented in Europe. It aim s to point to critical factors which influence the appropriateness and effectiveness of economic instruments. It also seeks to show where the scope of current economic instruments could be expanded to explore their capacity to reduce marine litter. Such an evaluation of existing economic instruments to reduce marine litter is essential to furthering the necessary steps to achieve GES and sustainable marine ecosystem management. This policy brief is a result of research conducted with the project Towards a Clean, Litter -Free European Marine Environment through Scientific Evidence, Innovative Tools and Good Governance (CleanSea) funded through the EU\u2019s Seventh Framework Programme (FP7 - , - Published - , - Refereed - , - Current - , - 14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/639", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/639", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/639", "url": "https:\/\/hdl.handle.net\/11329\/639" }, "author": [ { "@type": "Person", "name": "Boteler, Benjamin" }, { "@type": "Person", "name": "Abhold, Katrina" }, { "@type": "Person", "name": "Oosterhuis, Frans" }, { "@type": "Person", "name": "Fernandez, Pedro" }, { "@type": "Person", "name": "Hadzhiyska, Dariya" }, { "@type": "Person", "name": "Pavlova, Denitza" }, { "@type": "Person", "name": "Veiga, Joana Mira" } ], "contributor": [ { "@type": "Organization", "name": "Ecologic Institute for CleanSea Project" } ], "keywords": [ "Marine litter", "Marine plastics", "Economic instruments", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1662", "name": "An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks.", "description": " - This work presents two new methods to estimate oceanic alkalinity (AT), dissolved inorganic carbon (CT), pH, and pCO2 from temperature, salinity, oxygen, and geolocation data. \u201cCANYON-B\u201d is a Bayesian neural network mapping that accurately reproduces GLODAPv2 bottle data and the biogeochemical relations contained therein. \u201cCONTENT\u201d combines and refines the four carbonate system variables to be consistent with carbonate chemistry. Both methods come with a robust uncertainty estimate that incorporates information from the local conditions. They are validated against independent GO-SHIP bottle and sensor data, and compare favorably to other state-of-the-art mapping methods. As \u201cdynamic climatologies\u201d they show comparable performance to classical climatologies on large scales but a much better representation on smaller scales (40\u2013120 d, 500\u20131,500 km) compared to in situ data. The limits of these mappings are explored with pCO2 estimation in surface waters, i.e., at the edge of the domain with high intrinsic variability. In highly productive areas, there is a tendency for pCO2 overestimation due to decoupling of the O2 and C cycles by air-sea gas exchange, but global surface pCO2 estimates are unbiased compared to a monthly climatology. CANYON-B and CONTENT are highly useful as transfer functions between components of the ocean observing system (GO-SHIP repeat hydrography, BGC-Argo, underway observations) and permit the synergistic use of these highly complementary systems, both in spatial\/temporal coverage and number of observations. Through easily and robotically-accessible observations they allow densification of more difficult-to-observe variables (e.g., 15 times denser AT and CT compared to direct measurements). At the same time, they give access to the complete carbonate system. This potential is demonstrated by an observation-based global analysis of the Revelle buffer factor which shows a significant, high latitude-intensified increase between +0.1 and +0.4 units per decade. This shows the utility that such transfer functions with realistic uncertainty estimates provide to ocean biogeochemistry and global climate change research. In addition, CANYON-B provides robust and accurate estimates of nitrate, phosphate, and silicate. Matlab and R code are available at https:\/\/github.com\/HCBScienceProducts\/. - , - Refereed - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Oxygen - , - Inorganic carbon - , - Nutrients - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1662", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1662", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1662", "url": "https:\/\/hdl.handle.net\/11329\/1662" }, "author": [ { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "Steinhoff, Tobias" }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "Fiedler, Bj\u00f6rn" }, { "@type": "Person", "name": "Williams, Nancy L." }, { "@type": "Person", "name": "Sauz\u00e8de, Rapha\u00eblle" }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" }, { "@type": "Person", "name": "Gattuso, Jean-Pierre" } ], "keywords": [ "Carbon cycle", "GLODAP", "Surface pCO2 climatology", "Machine learning", "Revelle buffer factor increase", "Carbon, nitrogen and phosphorus", "Carbonate system", "Nutrients", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2319", "name": "Guidelines for monitoring of mesozooplankton.", "description": " - The mesozooplankton is a size fraction of zooplankton community (0.2 to 20 mm) that is addressed in the HELCOM- monitoring guidelines. Mesozooplankton constitute an important part of zooplankton in the pelagic food webs, since these are the organisms representing the link between primary producers (phytoplankton) and higher trophic levels (zooplanktivorous fish and invertebrates). Mesozooplankton community structure and productivity can be affected by changes in phytoplankton stocks, species\/size composition and phenology. Further, alterations in mesozooplankton can influence prey availability for zooplanktivores and, thus, fish stock recruitment, as well as sedimentation of the primary production, which, in turn, may affect food supply to benthic animals and oxygen levels in the bottom water. - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2319", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2319", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2319", "url": "https:\/\/hdl.handle.net\/11329\/2319" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/729", "name": "Performance Verification Statement for Real Tech Real Nitrate Analyzer GL Series.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ nutrient analyzers during 2016 to characterize performance measures of accuracy, precision and reliability. The verification including a week of laboratory testing along with three moored field deployments in freshwater, estuarine, and oceanic coastal environments. Laboratory tests of accuracy, precision, and range were conducted at the University of Maryland\u2019s Chesapeake Biological Laboratory (CBL) in Solomons, MD. A series of five tests were conducted to evaluate performance under controlled challenge conditions including: concentration range, temperature, salinity, turbidity, and dissolved organic carbon. All laboratory tests were conducted in 250 L polypropylene tanks using RO water as the initial matrix, within a temperature controlled room. Instruments sampled from a common, well-mixed, test tank maintained at a documented level of known challenge condition. Instruments were set-up by the manufacturer daily prior to the start of each individual laboratory test, exposed to each test condition for a period of three hours, and programmed to sample at a minimum frequency of 30 minutes. Reference samples were collected every 30 minutes for five timepoints during corresponding instrument sampling times for each test. For the laboratory concentration range challenge the absolute difference between the Real Tech Real-NO3 and reference measurement across all timepoints for trials C0 \u2013 C5 ranged from 0.217 to 0.490 mgN\/L, with a mean of 0.185 \u00b10.168 mgN\/L. A linear regression of the measurement difference versus concentration was significant (p=0.0192; r2=0.193), but with a low regression coefficient due to a reversal in direction for the C4 trial. In general, the Real-NO3 increasingly over-predicted concentrations as they increased in the test. An assessment of precision was performed by computing the standard deviations and coefficients of variation of the five replicate measurements for C1 \u2013 C5 concentration trials. The standard deviation of the mean ranged from 0.010 to 0.022 mgN\/L across the five trials, and the coefficient of variation ranged from 0.20 to 6.47 percent. For the laboratory temperature challenge at 5 oC, the absolute difference between instrument and reference measurement across all timepoints for trials C2 \u2013 C4 ranged from -0.0880 to 0.4381 mgN\/L, with a mean of 0.056 \u00b10.115 mgN\/L. Measurement differences at both C2 and C3 were significantly lower at 5 oC (0.017 and 0.058) versus 20 oC (0.020 and 0.237) (p<0.01). Differences were not statistically significant across temperatures at the C4 level. Similar to test results at 20 oC, the measurement offset increased in a positive direction as concentration increased. For the laboratory salinity challenge performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the three added salinity levels ranged from 0.146 to 0.483 mgN\/L, with a mean of 0.272 \u00b10.095 mgN\/L. A linear regression of the measurement differences versus salinity was significant (p=0.004; r2=0.38) with a slope of 0.005 and intercept of 0.184. The average offset at salinity 30 was 0.16 mgN\/L higher than the average for the 10 and 20 salinity trials. For the laboratory turbidity challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added turbidity levels ranged from 0.028 to 0.135 mgN\/L, with a mean of 0.096 \u00b10.036 mgN\/L. The effect of turbidity on measurement accuracy was mixed, when compared against RO water results, however, the magnitude of over-prediction approximately doubled between the 10 and 100 NTU trials. For the laboratory DOC challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added DOC levels ranged from 0.099 to 0.482 mgN\/L, with a mean of 0.292 \u00b10.193 mgN\/L. The measurement difference increased positively by a factor of four between the 1 and 10 DOC trials. A linear regression of the measurement differences versus DOC concentration was significant (p=0.008; r2=0.43), with a slope of 0.013 and intercept of 0.118. A 32 day field deployment occurred from May 26 through June 27 in the Maumee River, at the facilities of the Bowling Green, Ohio Water Treatment Plant. The Real-NO3 operated successfully during 31 of the total 32 day deployment, sampling at 5 minute intervals. The instrument shut down on 5\/31 and was rebooted on 6\/1 per manufacturer\u2019s instructions resulting in the loss of one day of data. The Real-NO3 generated 8827 accepted observations out of a possible 9156 for a data completion result of 96.4%. In total, 11 were omitted as outliers due to extreme range (<-0.01 or >25 mgN\/L) and 318 values were missing from the inoperable period. The average and standard deviation of the measurement difference between instrument and reference NO3 measurements for each matched pair (n=47 of a possible 51 observations) over the total deployment was 0.312 \u00b1 1.029 mgN\/L with a total range of -3.35 to 1.15 mgN\/L. There was no significant trend in measurement difference over time as estimated by linear regression (p= 0.28; r2=0.026). A linear regression of instrument versus reference measurement was highly significant (p<0.0001; r2 = 0.75) with a slope of 0.96 and intercept of 0.38. An 84 day moored field test was conducted in Chesapeake Bay from July 18 to October 10, 2016. The Real-NO3 operated continuously for 69 days until 9\/24 when air purge system malfunctioned. The system was bypassed per manufacturer\u2019s instructions and the instrument restarted on 9\/30. The instrument returned 22,345 observations out of a possible 24,144 based on approximate 5 minute sampling intervals for a data completion rate of 93%. The average and standard deviation of the measurement difference between instrument and reference NO3 measurements for each matched pair (n=100 of a possible 103 observations) over the total deployment was 0.083 \u00b10.022 mgN\/L, with the total range of differences between 0.018 to 0.166 mgN\/L. There no significant trend in measurement difference over time during the deployment (p=0.681; r2=0.002). A linear regression of the data was significant (p=0.0002; r2 = 0.132), with a slope of 0.680 and intercept of 0.085. For the calibration set-up at this field test, the Real-NO3 significantly over-predicted concentrations. A one month long moored field test was conducted in Kaneohe Bay from October 3, 2016 to November 2, 2016. The Real-NO3 was not deployed at HIMB at the manufacturer\u2019s decision. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/729", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/729", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/729", "url": "https:\/\/hdl.handle.net\/11329\/729" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "McManus, M." }, { "@type": "Person", "name": "Walker, G." }, { "@type": "Person", "name": "Stauffer, B." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2069", "name": "The Best of Both Worlds: Connecting Remote Sensing and Arctic Communities for Safe Sea Ice Travel.", "description": " - Northern communities are increasingly interested in technology that provides information about the sea ice environment for travel purposes. Synthetic aperture radar (SAR) remote sensing is widely used to observe sea ice independently of sunlight and cloud cover, however, access to SAR in northern communities has been limited. This study 1) defines the sea ice features that influence travel for two communities in the Western Canadian Arctic, 2) identifies the utility of SAR for enhancing mobility and safety while traversing environments with these features, and 3) describes methods for sharing SAR-based maps. Three field seasons (spring and fall 2017 and spring 2018) were used to engage residents in locally guided research, where applied outputs were evaluated by community members. We found that SAR image data inform and improve sea ice safety, trafficability, and education. Information from technology is desired to complement Inuit knowledge-based understanding of sea ice features, including surface roughness, thin sea ice, early and late season conditions, slush and water on sea ice, sea ice encountered by boats, and ice discontinuities. Floe edge information was not a priority. Sea ice surface roughness was identified as the main condition where benefits to trafficability from SAR-based mapping were regarded as substantial. Classified roughness maps are designed using thresholds representing domains of sea ice surface roughness (smooth ice\/maniqtuk hiku, moderately rough ice\/maniilrulik hiku, rough ice\/maniittuq hiku; dialect is Inuinnaqtun). These maps show excellent agreement with local observations. Overall, SAR-based maps tailored for on-ice use are beneficial for and desired by northern community residents, and we recommend that high-resolution products be routinely made available in communities. - , - Refereed - , - Les collectivit\u00e9s du Nord s\u2019int\u00e9ressent de plus en plus aux technologies qui leur fournissent de l\u2019information au sujet de l\u2019environnement de glace de mer \u00e0 des fins de d\u00e9placements. La t\u00e9l\u00e9d\u00e9tection par radar \u00e0 synth\u00e8se d\u2019ouverture (SAR) est couramment utilis\u00e9e pour observer la glace de mer, ind\u00e9pendamment de la lumi\u00e8re du soleil et de la n\u00e9bulosit\u00e9. Cependant, dans les collectivit\u00e9s du Nord, l\u2019acc\u00e8s au SAR est restreint. Cette \u00e9tude 1) d\u00e9finit les caract\u00e9ristiques de la glace de mer qui exercent une influence sur les d\u00e9placements de deux collectivit\u00e9s dans l\u2019ouest de l\u2019Arctique canadien; 2) d\u00e9termine l\u2019utilit\u00e9 du SAR pour am\u00e9liorer la mobilit\u00e9 et la s\u00e9curit\u00e9 quand vient le temps de traverser des environnements comportant ces caract\u00e9ristiques; et 3) d\u00e9crit les m\u00e9thodes de partage de cartes \u00e9tablies \u00e0 l\u2019aide du SAR. Trois saisons sur le terrain (le printemps et l\u2019automne de 2017, et le printemps de 2018) ont permis d\u2019inciter les r\u00e9sidents \u00e0 participer \u00e0 une recherche locale guid\u00e9e, l\u00e0 o\u00f9 les extrants appliqu\u00e9s ont \u00e9t\u00e9 \u00e9valu\u00e9s par les membres de la collectivit\u00e9. Nous avons trouv\u00e9 que les donn\u00e9es \u00e9manant des images du SAR \u00e9clairent et am\u00e9liorent la s\u00e9curit\u00e9 de la glace de mer, l\u2019aptitude \u00e0 la circulation et l\u2019\u00e9ducation. L\u2019information d\u00e9coulant de la technologie s\u2019av\u00e8re un compl\u00e9ment d\u00e9sirable aux connaissances inuites en vue de la compr\u00e9hension des caract\u00e9ristiques de la glace de mer, dont la rugosit\u00e9 de la surface, la glace de mer mince, les conditions en d\u00e9but et en fin de saison, la bouillie de glace et la glace mouill\u00e9e, la glace de mer rencontr\u00e9e par les bateaux, et la discontinuit\u00e9 de la glace. Les donn\u00e9es sur la glace de banc ne constituaient pas une priorit\u00e9. La rugosit\u00e9 de la surface de la glace de mer \u00e9tait consid\u00e9r\u00e9e comme la principale condition pour laquelle les avantages de la praticabilit\u00e9 d\u00e9termin\u00e9s au moyen des cartes \u00e9tablies \u00e0 l\u2019aide du SAR \u00e9taient substantiels. Les cartes indiquant la rugosit\u00e9 sont con\u00e7ues en fonction de seuils repr\u00e9sentant les caract\u00e9ristiques de rugosit\u00e9 de la surface des glaces de mer (glace lisse\/maniqtuk hiku, glace mod\u00e9r\u00e9ment rugueuse\/maniilrulik hiku, glace rugueuse\/maniittuq hiku; en dialecte inuinnaqtun). Ces cartes sont largement en accord avec les observations locales. Dans l\u2019ensemble, les cartes \u00e9tablies \u00e0 l\u2019aide du SAR pr\u00e9par\u00e9es en fonction des utilisations de la glace sont b\u00e9n\u00e9fiques et d\u00e9sir\u00e9es par les r\u00e9sidents des collectivit\u00e9s du Nord. Nous recommandons que des produits de haute r\u00e9solution soient r\u00e9guli\u00e8rement mis \u00e0 la disposition des collectivit\u00e9s. - , - Sea ice - , - Mature - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2069", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2069", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2069", "url": "https:\/\/hdl.handle.net\/11329\/2069" }, "author": [ { "@type": "Person", "name": "Segal, Rebecca A." }, { "@type": "Person", "name": "Scharien, Randall K." }, { "@type": "Person", "name": "Duerden, Frank" }, { "@type": "Person", "name": "Tam, Chui-Ling" } ], "keywords": [ "SAR", "Sea Ice", "Inuit knowledge", "Indigenous communities", "Remote sensing", "Safety and navigation", "Climate change", "Mapping", "Cryosphere", "synthetic aperture radars", "Data acquisition", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1270", "name": "Direct monitoring of active geohazards: emerging geophysical tools for deep-water assessments.", "description": " - Seafloor networks of cables, pipelines, and other infrastructure underpin our daily lives, providing communication links, information, and energy supplies. Despite their global importance, these networks are vulnerable to damage by a number of natural seafloor hazards, including landslides, turbidity currents, fluid flow, and scour. Conventional geophysical techniques, such as high-resolution reflection seismic and side-scan sonar, are commonly employed in geohazard assessments. These conventional tools provide essential information for route planning and design; however, such surveys provide only indirect evidence of past processes and do not observe or measure the geohazard itself. As such, many numerical-based impact models lack field-scale calibration, and much uncertainty exists about the triggers, nature, and frequency of deep-water geohazards. Recent advances in technology now enable a step change in their understanding through direct monitoring. We outline some emerging monitoring tools and how they can quantify key parameters for deepwater geohazard assessment. Repeat seafloor surveys in dynamic areas show that solely relying on evidence from past deposits can lead to an under-representation of the geohazard events. Acoustic Doppler current profiling provides new insights into the structure of turbidity currents, whereas instrumented mobile sensors record the nature of movement at the base of those flows for the first time. Existing and bespoke cabled networks enable high bandwidth, low power, and distributed measurements of parameters such as strain across large areas of seafloor. These techniques provide valuable new measurements that will improve geohazard assessments and should be deployed in a complementary manner alongside conventional geophysical tools. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1270", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1270", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1270", "url": "https:\/\/hdl.handle.net\/11329\/1270" }, "author": [ { "@type": "Person", "name": "Clare, Michael A." }, { "@type": "Person", "name": "Vardy, Mark E." }, { "@type": "Person", "name": "Cartigny, Matthieu J.B." }, { "@type": "Person", "name": "Talling, Peter J." }, { "@type": "Person", "name": "Himsworth, Matthew D." }, { "@type": "Person", "name": "Dix, Justin K." }, { "@type": "Person", "name": "Harris, John M." }, { "@type": "Person", "name": "Whitehouse, Richard J.S." }, { "@type": "Person", "name": "Belal, Mohammad" } ], "keywords": [ "Parameter Discipline::Marine geology::Field geophysics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1065", "name": "Timeseries Profile of Observations and Measurements , Version 1.0.", "description": " - The OGC Timeseries Profile of Observations and Measurements is a conceptual model for the representation of observations data as timeseries, with the intent of enabling the exchange of such data sets across information systems. This standard does not define an encoding for the conceptual model; however there is an accompanying OGC Standard which defines an XML encoding (OGC TimeseriesML 1.0 - XML Encoding of the Timeseries Profile of Observations and Measurements). Other encodings may be developed in future. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1065", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1065", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1065", "url": "https:\/\/hdl.handle.net\/11329\/1065" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/911", "name": "OGC Sensor Observation Service Interface Standard, Version 2.0.", "description": " - The SOS standard is applicable to use cases in which sensor data needs to be managed in an interoperable way. This standard defines a Web service interface which allows querying observations, sensor metadata, as well as representations of observed features. Further, this standard defines means to register new sensors and to remove existing ones. Also, it defines operations to insert new sensor observations. This standard defines this functionality in a binding independent way; two bindings are specified in this document: a KVP binding and a SOAP binding. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9 - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/911", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/911", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/911", "url": "https:\/\/hdl.handle.net\/11329\/911" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Standard", "Sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/992", "name": "The Marine Biosecurity Porthole \u2013 a web-based information system on non-indigenous marine species in New Zealand .", "description": " - The Marine Biosecurity Porthole was created in 2010 as a collaboration between New Zealand\u2019s Ministry for Primary Industries (MPI) and the National Institute for Water and Atmospheric Research (NIWA) to provide greater public access to information and data on nonindigenous marine species (NIMS) in New Zealand. The porthole is primarily an interactive mapping application that allows verified observations on the distribution of NIMS within New Zealand to be displayed. It draws upon data compiled from a range of funded surveys for NIMS, including a series of port biological baseline surveys and a continuing programme of targeted surveillance for high risk marine pests in major shipping ports and marinas. The data also include records from specimens reported via the passive surveillance system and identified through the Marine Invasives Taxonomic Service (MITS), a taxonomic clearing house service for suspect marine organisms, and observations of NIMS made through taxonomic and ecological research undertaken by NIWA. It currently contains information for over 3,600 native, cryptogenic and non-indigenous marine species with links to over 155,000 individual distribution records. Additional features include a searchable catalogue of relevant reports, papers and information about NIMS and on the surveys undertaken to obtain the data. The design and functionality of the portal have been refreshed to provide a better overall experience for users. New features will allow greater filtering and selection of distribution data, more content on NIMS within New Zealand, and connections to social media. - , - Refereed - , - Fish abundance and distribution - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/992", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/992", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/992", "url": "https:\/\/hdl.handle.net\/11329\/992" }, "author": [ { "@type": "Person", "name": "Seaward, Kimberley" }, { "@type": "Person", "name": "Acosta, Hernando" }, { "@type": "Person", "name": "Inglis, Graeme J." }, { "@type": "Person", "name": "Wood, Brent" }, { "@type": "Person", "name": "Riding, Timothy A.C." }, { "@type": "Person", "name": "Wilkens, Serena" }, { "@type": "Person", "name": "Gould, Brendan" } ], "keywords": [ "Alien", "Biosecurity", "Data portal", "Marine surveillance", "Invasive species", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1575", "name": "Research Cruise Planning & Management, 15 - 19 October 2018. OTGA Training Course RCPM2018BE.", "description": " - This course provided an overview of requirements for organizing a Research Cruise within a project and\/or submitting a request for ship time. The course took place mainly in a classroom but included a visit to a Marine station and a research vessel, where participants were introduced to sampling equipment and marine research infrastructure used for onboard research, including demonstrations of the use and maintenance of marine sampling equipment, oceanographic (biological, chemical and physical data) sampling, data collection and data management. ----------------- Aims and Objectives: Promoting organisational skills to enable leading and\/or participating in a research cruise ; Provide the tools to ensure cost effective use of ship time; Promote best practices for data collection and storage. ----------------- Note: please explore the contents of this course as a self-learning course. Note however that the contents of this training course were designed for a face to face context. As such, some features (assignments, discussion fora, etc) may not work properly and we cannot ensure tutor support. For any queries please contact ioc.training@unesco.org and we will do our best to redirect you to an expert that can assist you. - , - IOC; Flanders Government - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1575", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1575", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1575", "url": "https:\/\/hdl.handle.net\/11329\/1575" }, "author": [ { "@type": "Person", "name": "Reed, Greg" }, { "@type": "Person", "name": "Tabureau, Bernard" }, { "@type": "Person", "name": "Verreet, Gert" }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Vanreusel, Ann" }, { "@type": "Person", "name": "Cattrijsse, Dre" }, { "@type": "Person", "name": "Mortelmans, Jonas" }, { "@type": "Person", "name": "Dekeyser, Stefanie" }, { "@type": "Person", "name": "Versteeg, Wim" }, { "@type": "Person", "name": "Vandorpe, Thomas" }, { "@type": "Person", "name": "Segers, Hendrik" } ], "keywords": [ "Research cruises", "Cruise planning", "Training course", "OTGA", "Parameter Discipline::Administration and dimensions::Administration and dimensions", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2041", "name": "Directory of European Polar Research funding programmes.", "description": " - The polar regions are sentinels of climate change and human resilience and they are also a proven bastion for international cooperation in research and nature protection. European researchers have made significant contributions to understand the consequences of climate change and the structure and functioning of ecosystems at both polar regions, and their global interconnections. Unifying, disseminating and coordinating all European research actions is one of the tasks of the EU-PolarNet 2 project. EU-PolarNet 2 \u2013 \u201cCoordinating and co-designing the European Polar Research Area\u201d is a coordination and support action funded by the European Commission in Horizon 2020. It comprises 25 partners representing all European and associated countries with well-developed Polar research programmes and activities. EU-PolarNet 2 aims to provide a platform to co-develop strategies to advance European polar research and its contribution to policy-making processes. By involving all relevant stake- and rightsholders it supports the development of transdisciplinary and transnational polar research actions of high societal relevance. To ensure that such an important platform is sustained after the four years of project duration, the project works with funding agencies, national polar research institutes, operators of national polar programmes, polar experts and the European polar research community to discuss and implement the identified research actions. The final goal of EU-PolarNet 2 is to create a permanent European Polar Coordination Office which will continue the work of EU-PolarNet 2 in a sustained way. A strong European polar research environment requires efficient and effective national and European polar research programmes that are complementary and coordinated. Improved understanding of the landscape and diversity of the strategies, structure and priorities of polar research funding in Europe may therefore also contribute to facilitate stronger cooperation between them and by that contribute to the establishment of a European Polar Research Area. The \u201cDirectory of Polar research funding programmes in Europe\u201d at hand is EU-PolarNet 2\u00b4s initial step to improve the coordination and cooperation of national polar funding organisations in Europe. The directory provides an overview about the governance, strategies, and procedures of polar research funding in Europe. With publishing this directory, EU-PolarNet 2 aims to contribute to improving the efficiency and effectiveness of European polar research. A better overview and understanding of each other\u2019s activities and structures shall avoid overlap, minimise fragmentation, and ensures the synergetic use of national resources and investments. The directory at hand is closely related and complementary to another EU-PolarNet 2 deliverable, which is the \u201cCatalogue of national polar research programmes and other large-scale programmes\u201d. Both deliverables have been developed together and are the result of a survey that was send out to the whole EU-PolarNet 2 consortium asking a wide range of questions to collect as much information as possible. The information received for the directory reflects the different approach of each country to polar policy and research funding. The result is a structured but diverse document bidding the opportunity for countries to gain a better insight in each others procedures and to intensify their collaborations. EU-PolarNet 2 will in the next steps publish a White Paper analysing the landscape and cooperation potential of the programmes. After consultations and dialogue with funding agencies and stakeholders, the final goal is to provide recommendations for a partnership in polar research under Horizon Europe supporting the implementation and development of future European research actions. - , - Published - , - Refereed - , - Current - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2041", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2041", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2041", "url": "https:\/\/hdl.handle.net\/11329\/2041" }, "contributor": [ { "@type": "Organization", "name": "EU-PolarNet" } ], "keywords": [ "Research infrastructures", "Research funding", "Cryosphere", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/324", "name": "Genetic connectivity survey manuals. Version 1, 01 May 2017.", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/324", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/324", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/324", "url": "https:\/\/hdl.handle.net\/11329\/324" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Genetic markers", "Target species", "Biome", "Sampling", "DNA", "Sequencing", "PCR", "Taxonomic identification", "Mineral resources", "Mining effects", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1356", "name": "Video monitoring framework in support of sargassum management,", "description": " - The waters off Caribbean islands have seen large amounts of Sargassum seaweed during the last years (Wang and Hu, 2016). This record-breaking events of algae blooms and mass stranding started in earnest in 2011, then 2015 saw the next large-scale event and in January 2018, unusually large aggregations of Sargassum have been spotted on satellite imagery (Optical Oceanography Laboratory, n.d.). Normally, when floating offshore Sargassum provide important habitat and refuge to a large diversity of animals. However, while weeds approach nearshore and beach, due to currents and winds actions, in such massive quantities, they start to be deathtrap for many animals and contribute to the degradation of important coastal habitats, threatening coastal activities and ecosystems. The decomposing mass, which can be several meters high, creates oily slicks in its wake and releases a foul odor, damaging tourism activities since the sight and smell left beaches highly unappealing. Both satellite and modelled surface current data point to the North Equatorial Recirculation Region as the origin of recent mass blooms \u2013 north of the mouth of the Amazon, between Brazil and west Africa, in an area not previously associated with Sargassum growth (Gower et al., 2013). A number of factors including nutrients, rising sea temperatures and Sahara dust storms have been put forward as potential causes (Louime et al., 2017). Mathematical models developed to analyze satellite imagery and detect floating algae, the Floating Algae Index (FAI) (Hu, 2009), reveal that it is only in recent years that the area has seen the mass proliferation of Sargassum \u2013 satellite imagery from before 2011 shows the area to be \u2018largely free of seaweed\u2019. A number of strategies have been planned to deal with the large accumulations of algae resulting from the mass blooms. Removal and burial of the algae as soon as it gets stranded at beaches has been widely recommended (CRFM, 2016), although it appears to harm the environment (turtle habitat) and more specifically the sediments loss at beach. Nowadays, the information retrieved from remote sensing satellite system are very useful in order to estimate qualitatively and quantitatively the presence and motions of such macroalgae offshore. Unfortunately, operational warning devices able to anticipate algae washing ashore still have disadvantages related to the inadequate sampling and temporal frequency (MODIS observations e.g., Wang and Hu, 2017) and the interposing obstacles such as cloud shadows, sun glint constitute important issues; actually, there is little room for improvement as these are natural phenomena.Aside the need of anticipation, there is a need for the local government to deal with this severe issue and increase the abilities of quantifying Sargassum onshore on a seasonal basis. There is a special need for management planning in order to an increased resilience and benefit from Sargassum influxes (Cox, S., 2019). Location and amounts of Sargassum ashore can be then accurately evaluated to requirements. The purpose of this study is to implement a video-based framework approach in order to classify the coastal morphologies and specifically detect floating and beached algae in a very efficient and replicable manner with a moderate cost. This is conducted by means of a semi-supervised superpixel-based Deep Convolutional Neural Network (DCNN) classification of ground-sensed images. The implementation of a warning system for algae\u2019 quantification with a relative thresholding approach will be described and a discussion on extension for not-instrumented coastal sites will be presented. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1356", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1356", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1356", "url": "https:\/\/hdl.handle.net\/11329\/1356" }, "author": [ { "@type": "Person", "name": "Valentini, Nico" }, { "@type": "Person", "name": "Balouin, Yann" }, { "@type": "Person", "name": "Bouvier, Clement" }, { "@type": "Person", "name": "Nachbaur, Aude" }, { "@type": "Person", "name": "Moisan, Manuel" }, { "@type": "Person", "name": "Laigre, Thibault" } ], "keywords": [ "Sargassum", "Management", "Video", "Algal blooms", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2049", "name": "Report on Instrumentation Best Practice. WP2: Marine Energy System Testing - Standardisation and Best Practice Deliverable 2.5 EC.", "description": " - The present document deals with the specificity of the instrumentation related to wave energy converters. The introduction section summarizes the different development phases of wave energy converters and introduces Froude scaling law which emphasizes the requirement for instrumentation at different scaling factors of wave energy converters. An overview of the different instruments related to wave climate, forces, flow, pressures, motions, torque and current velocity is presented with commonly used instruments to measure those physical quantities. The principal outcome of this report is a list of the different instrumentation for modelling the power take-off system and for measuring the power harvested from the waves by the wave energy converters for scaled models, which is the biggest challenge when modelling this type of devices. The report lists best practice as used in several MaRINET partners laboratory facilities. - , - European Commission FP7 - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2049", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2049", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2049", "url": "https:\/\/hdl.handle.net\/11329\/2049" }, "contributor": [ { "@type": "Organization", "name": "MARINET: Marine Renewables Infrastructure Network for emerging Energy Technologies" } ], "keywords": [ "Wave energy converters", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/985", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report PAR instruments Version 1.0. Photosynthetically Available Radiation records 2009-2016. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1491]", "description": " - This report describes the quality control procedures applied to PAR data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2016.The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Refereed - , - Superseded - , - 14 - , - Ocean colour - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/985", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/985", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/985", "url": "https:\/\/hdl.handle.net\/11329\/985" }, "author": [ { "@type": "Person", "name": "Harley, James" }, { "@type": "Person", "name": "Schallenberg, Christina" }, { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::radiometers", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2263", "name": "Commentary on the outputs and future of Biogeochemical Exchange Processes at Sea-Ice Interfaces (BEPSII).", "description": " - Biogeochemical processes associated with sea ice are still inadequately described and poorly represented in models, making it difficult to properly quantify the impacts of climate change in polar regions. Within the framework of the international Scientific Committee of Ocean Research (SCOR) working group 140, BEPSII, a community of sea-ice biogeochemical scientists established guidelines for the measurement of biogeochemical processes in sea ice, collated observed data, synthesized knowledge of sea-ice biogeochemical processes, and identified the feedbacks between biogeochemical and physical processes at the terrestrial-ocean-ice-snow-atmosphere interfaces and within the sea-ice matrix. Many of these results are presented in Elementa\u2019s Special Feature on BEPSII. By bringing together experimentalists and modelers, major improvements of sea-ice biochemistry models have been achieved which are anticipated to affect models on micro- to global scales. However, large gaps still exist in our understanding of detailed biogeochemical processes in sea ice, their seasonal evolution and their interactions with surrounding environments. The BEPSII community recommends continued focus on the development of reproducible methods and techniques for reliable inter-study comparisons, to enhance our understanding in areas where gaps have been identified via coordinated process studies combining modeling tools, laboratory experiments and field studies, and on the use of such studies to develop conceptual models helping us to understand the overall system. - , - Refereed - , - 14.a - , - Sea ice - , - Ice - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2263", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2263", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2263", "url": "https:\/\/hdl.handle.net\/11329\/2263" }, "author": [ { "@type": "Person", "name": "Steiner, Nadja" }, { "@type": "Person", "name": "Stefels, Jacqueline" } ], "keywords": [ "Sea-ice biogeochemistry measurement methods", "BEPSII", "Scientific Committee of Ocean Research (SCOR) working group 140", "Chlorophyll a concentration", "SCOR WG 140", "Other biological measurements", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2001", "name": "Guidelines for the determination of persistent organic compounds (POPs) in seawater.", "description": " - These guidelines concentrate on the sampling and extraction of lipophilic persistent organic pollutants from seawater and also address special aspects of the sampling matrix. Those pollutants comprise the group of polycyclic aromatic hydrocarbons (PAHs) and chlorinated hydrocarbons (e.g., HCH, HCB, DDT group, chlorinated biphenyls (PCBs)). Usually, similar analytical methods are used for the determination of lipophilic pollutants in extracts from water samples and from sediments. Therefore, it is meaningful to harmonize analytical procedures and to refer to the respective references. (see 7. CHROMATOGRAPHIC DETERMINATION) However, it should be taken into consideration (e.g., for calibration) that the relative concentrations of the individual pollutants are different in water and sediment samples which is basically attributed to the compound\u2019s polarity and, thus, their octanol\/water partition coefficient (log Kow; Kow = Concentration in octanol phase \/ Concentration in aqueous phase). Thus, in water samples the more hydrophilic compounds with log Kow values of 3 to 4 predominate (e.g., 2- and 3-ring aromatics and HCH isomers), while in sediments and biota pollutants with log Kow values >5 are enriched (4- to 6-ring aromatics, DDT group, PCBs). These guidelines provide advice for the analysis of lipophilic persistent organic pollutant (POPs) in total seawater which basically includes the following steps: \u2022 sampling and extraction of the water; \u2022 clean-up; and \u2022 analytical determination. The extraction of the POPs simultaneously enables enrichment of the analytes which is a crucial step in the procedure as the expected concentrations in seawater are often only in the pg l-1 range. Extraction and enrichment are usually conducted through solid phase extraction (SPE) or liquid-liquid extraction (LLE). Determination depends on the chemical structure of the compounds. PAHs can be separated by high performance liquid chromatography (HPLC) with fluorescence detection or gas chromatographic (GC) separation with flame ionization (FID) or mass spectrometric (MS) detection (Fetzer and Vo-Dinh, 1989; Wise et al., 1995). Chlorinated hydrocarbons are generally analysed by gas chromatographic (GC) separation with mass spectrometric (MS) detection. All steps of the procedure are susceptible to insufficient recovery and contamination. Therefore, regular quality control measures must be applied to monitor method performance. These guidelines are intended to encourage and assist analytical chemists to critically reconsider and improve established methods and associated quality control measures, where necessary. These guidelines are not intended as complete laboratory manual. If necessary, guidance should be sought from specialized laboratories. Laboratories should demonstrate validity of each methodological step. Moreover, use of an alternative method, carried out concurrently to the routine procedure, is recommended for validation. The participation in analytical proficiency tests is also highly recommended. Contracting parties should follow the HELCOM monitoring guideline but minor deviations from this are acceptable if the method achieves comparable results. Validation of the adopted method needs to be performed on the relevant matrix and concentration range e.g. by taking part in intercomparison studies or proficiency testing schemes. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2001", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2001", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2001", "url": "https:\/\/hdl.handle.net\/11329\/2001" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Organic compounds", "Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2420", "name": "The impact of citizen science on society, governance, the economy, the environment and science.", "description": " - The MICS project [mics.tools] has developed a state-of-the-art tool for assessing citizen science\u2019s impact. The free-to-use, open-access platform is available to anyone looking to improve their impact assessment. MICS uses 200 variables to determine the impact of a citizen-science project in five areas: society, the environment, the economy, governance, and science and technology. Five case studies explore how citizen scientists work together to monitor nature-based solutions and protect the environment. AI technology has been developed to help analyse the 200 variables. - , - European Union Horizon H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2420", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2420", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2420", "url": "https:\/\/hdl.handle.net\/11329\/2420" }, "author": [ { "@type": "Person", "name": "Ceccaroni, Luigi" }, { "@type": "Person", "name": "Parkinson, Stephen" }, { "@type": "Person", "name": "Woods, Sasha" }, { "@type": "Person", "name": "Sprinks, James" }, { "@type": "Person", "name": "Wehn, Uta" }, { "@type": "Person", "name": "Scrieciu, Albert" }, { "@type": "Person", "name": "Kozak, Balaz" }, { "@type": "Person", "name": "Gumiero, Bruna" }, { "@type": "Person", "name": "Joyce, Hannah" }, { "@type": "Person", "name": "Naura, Marc" }, { "@type": "Person", "name": "Janes, Martin" }, { "@type": "Person", "name": "Williams, Claire" } ], "contributor": [ { "@type": "Organization", "name": "MICS Project" } ], "keywords": [ "Citizen Science", "Societal impact", "Cross-discipline", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/882", "name": "Chemical reference materials: setting the standards for ocean science [by the Committee on Reference Materials for Ocean Science, Ocean Studies Board Division on Earth and Life Studies, National Research Council]", "description": " - Chemical Reference Materials: Setting the Standards for Ocean Science is part of an evolving body of work being conducted by scientists and research sponsors interested in ensuring the quality control of oceanographic data. Chemical data collected during ongoing and future global oceanographic studies and time-series efforts must be comparable over time and among laboratories. A wide range of scientific opportunities will result from such long-term observations, such as a better understanding of the role of ocean chemistry in climate dynamics; also improved stewardship of the ocean\u2019s natural resources. The large investment of time, money, and equipment needed for such chemical oceanographic measurements demands that the data collected be of the highest quality achievable. Chemical reference materials play a critical role in the verification of the quality of these measurements. To this end, the National Research Council Committee on Reference Materials for Ocean Science (Appendix A) was charged with the difficult tasks of identifying the most critically needed reference materials, and recommending the most appropriate approaches for their development. The committee gave careful consideration to keeping their recommendations within the context of current and future oceanographic efforts throughout this process. Committee members were chosen for their wide variety of scientific expertise and experience in production and certification of reference materials. In addition, members with proficiency in the use of reference materials for the analysis of trace metals, radioisotopes, nutrients, carbon, and organic matter were represented. The committee met on four sepaxi Copyright \u00a9 National Academy of Sciences. All rights reserved. Chemical Reference Materials: Setting the Standards for Ocean Science http:\/\/www.nap.edu\/catalog\/10476.html xii PREFACE rate occasions to discuss and to plan this report. One of these meetings was a workshop held in September of 2001 in Islamorada, Florida at which about 30 invitees from the ocean science community (Appendix B) listened to keynote presentations, and discussed which reference materials, if available, would enhance the ability of ocean scientists to address key research topics. In addition, workshop participants were asked to identify which materials they felt represented the highest priority for development and research. Workshop participants, posters, and discussions helped set the stage for the fruitful committee discussions that followed. The committee also relied on written comments provided by workshop participants, on an email survey of members of the American Society of Limnology and Oceanography, and on the National Science Foundation\u2019s report on the Future of Ocean Chemistry in the U.S. (1999), which set research priorities in marine chemistry. As this report went to press, the committee was saddened by the unexpected death of a committee member, Dr. John Hedges. Dr. Hedges\u2019 extensive and thoughtful input to this report reflected his deep interest in this topic and his hopes that this report would meaningfully further the use of reference materials in the ocean sciences. His death is a great loss to the many individuals who knew him - , - Published - , - Members of Board: ANDREW DICKSON ROBERT BIDIGARE, JOHN HEDGES, KENNETH JOHNSON, DENISE LEBLANC, CINDY LEE, ANN McNICHOL, FRANK MILLERO, JAMES MOFFET WILLARD MOORE, EDWARD PELTZER, STAN VAN DEN BERG, - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/882", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/882", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/882", "url": "https:\/\/hdl.handle.net\/11329\/882" }, "author": [ { "@type": "Person", "name": "Dickson, Andrew" }, { "@type": "Person", "name": "et al" } ], "contributor": [ { "@type": "Organization", "name": "National Academies Press" } ], "keywords": [ "Certified reference materials", "CRM" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/465", "name": "Training Manual on Best Practices for Instruments and Methods of Ocean Observation. Regional Workshop on \u2018Best Practices for Instruments and Methods of Ocean Observation\u2019. 19 \u2013 21 November 2012.", "description": " - This Training Manual on \u2018Best Practices for Instruments and Methods of Ocean Observation\u2019 is prepared on the occasion of the Regional Workshop on \u2018Best Practices for Instruments and Methods of Ocean Observation\u2019 organized from 19 - 21 November 2012 in Chennai India. The Regional Workshop has been organized by the World Meteorological Organization (WMO) and its constituent the Data Buoy Cooperation Panel (DBCP); the National Institute of Ocean Technology (NIOT); the Bay of Bengal Large Marine Ecosystem (BOBLME) Project; and the Bay of Bengal Programme Inter-Governmental Organisation (BOBP-IGO). - , - Published - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/465", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/465", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/465", "url": "https:\/\/hdl.handle.net\/11329\/465" }, "author": [ { "@type": "Person", "name": "Venkatesan, R." }, { "@type": "Person", "name": "Yadava, Y.S." }, { "@type": "Person", "name": "Atmanand, R.M.A." } ], "contributor": [ { "@type": "Organization", "name": "WMO\/DBCP; NIOT; BOBLME Project and BOBP-IGO," } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1869", "name": "XBT Operational Best Practices for Quality Assurance, Version 1.0. [GOOS ENDORSED PRACTICE]", "description": " - Since the 1970s, EXpendable BathyThermographs (XBTs) have provided the simplest and most cost\u2010efficient solution for rapid sampling of temperature vs. depth profiles of the upper part of the ocean along ship transects. This manual, compiled by the Ship of Opportunity Program Implementation Panel (SOOPIP) a subgroup of the Global Ocean Observing System (GOOS) Observations Coordination Group (OCG) Ship Observations Team (SOT) together with members of the XBT Science Team, aims to improve the quality assurance of XBT data by establishing best practices for field measurements and promoting their adoption by the global operational and scientific community. The measurement system components include commercially available expendable temperature probes, the launcher, the data acquisition (DAQ) hardware, a Global Navigation Satellite System (GNSS) receiver, an optional satellite transmitter, and a computer with software controls. The measurement platform can be any sea\u2010going vessel with available space for the equipment and operator, and capable of oceanic voyages across the regions of interest. Adoption of a standard methodology in the installation and deployment of the measurement system will lead to data quality improvements with subsequent impact on the computation and understanding of changes in the near surface ocean properties (e.g., heat content), ocean circulation dynamics, and their relationship to climate variability. - , - Unpublished - , - FRENCH === Depuis les ann\u00e9es 1970, les BathyThermographes EXpendables (XBT) ont fourni la solution la plus simple et la plus rentable pour l'\u00e9chantillonnage rapide des profils de temp\u00e9rature par rapport \u00e0 la profondeur de la partie sup\u00e9rieure de l'oc\u00e9an le long des transects de navires. Ce manuel, compil\u00e9 par le Groupe d'experts sur la mise en \u0153uvre du programme de navires occasionnels (SOOPIP), un sous-groupe de l'\u00e9quipe d'observation des navires (SOT) du Groupe de coordination des observations du Syst\u00e8me mondial d'observation de l'oc\u00e9an (GOOS) et des membres de l'\u00e9quipe scientifique XBT, vise \u00e0 am\u00e9liorer l'assurance qualit\u00e9 des donn\u00e9es XBT en \u00e9tablissant les meilleures pratiques pour les mesures sur le terrain et en promouvant leur adoption par la communaut\u00e9 op\u00e9rationnelle et scientifique mondiale. Les composants du syst\u00e8me de mesure comprennent des sondes de temp\u00e9rature jetables disponibles dans le commerce, le lanceur, le mat\u00e9riel d'acquisition de donn\u00e9es (DAQ), un r\u00e9cepteur GNSS (Global Navigation Satellite System), un \u00e9metteur satellite en option et un ordinateur avec des commandes logicielles. La plate-forme de mesure peut \u00eatre n'importe quel navire de mer disposant d'un espace disponible pour l'\u00e9quipement et l'op\u00e9rateur, et capable d'effectuer des voyages oc\u00e9aniques \u00e0 travers les r\u00e9gions d'int\u00e9r\u00eat. L'adoption d'une m\u00e9thodologie standard dans l'installation et le d\u00e9ploiement du syst\u00e8me de mesure conduira \u00e0 des am\u00e9liorations de la qualit\u00e9 des donn\u00e9es avec un impact ult\u00e9rieur sur le calcul et la compr\u00e9hension des changements dans les propri\u00e9t\u00e9s oc\u00e9aniques proches de la surface (par exemple, la teneur en chaleur), la dynamique de la circulation oc\u00e9anique et leur relation. \u00e0 la variabilit\u00e9 climatique - , - GERMAN === Seit den 1970er Jahren bieten EXpendable BathyThermographs (XBTs) die einfachste und kosteng\u00fcnstigste L\u00f6sung f\u00fcr die schnelle Erfassung von Temperatur-Tiefen-Profilen des oberen Teils des Ozeans entlang von Schiffstransekten. Dieses Handbuch wurde vom Ship of Opportunity Program Implementation Panel (SOOPIP), einer Untergruppe der Observations Coordination Group (OCG) des Global Ocean Observing System (GOOS), des Ship Observations Team (SOT) zusammen mit Mitgliedern des XBT Science Teams zusammengestellt, zielt auf Verbesserungen ab die Qualit\u00e4tssicherung von XBT-Daten durch die Festlegung bew\u00e4hrter Verfahren f\u00fcr Feldmessungen und die F\u00f6rderung ihrer \u00dcbernahme durch die globale betriebliche und wissenschaftliche Gemeinschaft. Zu den Komponenten des Messsystems geh\u00f6ren handels\u00fcbliche Einmal-Temperatursonden, die Tr\u00e4gerrakete, die Datenerfassungshardware (DAQ), ein Global Navigation Satellite System (GNSS)-Empf\u00e4nger, ein optionaler Satellitensender und ein Computer mit Softwaresteuerung. Die Messplattform kann jedes Seeschiff sein, das Platz f\u00fcr die Ausr\u00fcstung und den Bediener bietet und f\u00fcr Hochseefahrten durch die interessierenden Regionen geeignet ist. Die Einf\u00fchrung einer Standardmethodik bei der Installation und Bereitstellung des Messsystems wird zu einer Verbesserung der Datenqualit\u00e4t mit anschlie\u00dfenden Auswirkungen auf die Berechnung und das Verst\u00e4ndnis von \u00c4nderungen der oberfl\u00e4chennahen Ozeaneigenschaften (z. B. W\u00e4rmegehalt), der Ozeanzirkulationsdynamik und ihrer Beziehung f\u00fchren zur Klimavariabilit\u00e4t. - , - PORTUGUESE === Desde a d\u00e9cada de 1970, os Expendable BathyThermographs (XBTs) forneceram a solu\u00e7\u00e3o mais simples e econ\u00f4mica para amostragem r\u00e1pida de perfis de temperatura versus profundidade da parte superior do oceano ao longo de transectos de navios. Este manual, compilado pelo Painel de Implementa\u00e7\u00e3o do Programa Ship of Opportunity (SOOPIP), um subgrupo do Sistema Global de Observa\u00e7\u00e3o do Oceano (GOOS), Grupo de Coordena\u00e7\u00e3o de Observa\u00e7\u00f5es (OCG), Equipe de Observa\u00e7\u00f5es de Navios (SOT), juntamente com membros do XBT Science Team, visa melhorar a garantia de qualidade dos dados XBT estabelecendo as melhores pr\u00e1ticas para medi\u00e7\u00f5es de campo e promovendo sua ado\u00e7\u00e3o pela comunidade operacional e cient\u00edfica global. Os componentes do sistema de medi\u00e7\u00e3o incluem sondas de temperatura descart\u00e1veis comercialmente dispon\u00edveis, o lan\u00e7ador, o hardware de aquisi\u00e7\u00e3o de dados (DAQ), um receptor do Sistema Global de Navega\u00e7\u00e3o por Sat\u00e9lite (GNSS), um transmissor de sat\u00e9lite opcional e um computador com controles de software. A plataforma de medi\u00e7\u00e3o pode ser qualquer embarca\u00e7\u00e3o mar\u00edtima com espa\u00e7o dispon\u00edvel para o equipamento e operador, e capaz de realizar viagens oce\u00e2nicas nas regi\u00f5es de interesse. A ado\u00e7\u00e3o de uma metodologia padr\u00e3o na instala\u00e7\u00e3o e implanta\u00e7\u00e3o do sistema de medi\u00e7\u00e3o levar\u00e1 a melhorias na qualidade dos dados com impacto subsequente no c\u00e1lculo e compreens\u00e3o das mudan\u00e7as nas propriedades oce\u00e2nicas pr\u00f3ximas \u00e0 superf\u00edcie (por exemplo, conte\u00fado de calor), din\u00e2mica da circula\u00e7\u00e3o oce\u00e2nica e sua rela\u00e7\u00e3o \u00e0 variabilidade clim\u00e1tica. - , - PORTUGUESE === Desde a d\u00e9cada de 1970, os Expendable BathyThermographs (XBTs) forneceram a solu\u00e7\u00e3o mais simples e econ\u00f4mica para amostragem r\u00e1pida de perfis de temperatura versus profundidade da parte superior do oceano ao longo de transectos de navios. Este manual, compilado pelo Painel de Implementa\u00e7\u00e3o do Programa Ship of Opportunity (SOOPIP), um subgrupo do Sistema Global de Observa\u00e7\u00e3o do Oceano (GOOS), Grupo de Coordena\u00e7\u00e3o de Observa\u00e7\u00f5es (OCG), Equipe de Observa\u00e7\u00f5es de Navios (SOT), juntamente com membros do XBT Science Team, visa melhorar a garantia de qualidade dos dados XBT estabelecendo as melhores pr\u00e1ticas para medi\u00e7\u00f5es de campo e promovendo sua ado\u00e7\u00e3o pela comunidade operacional e cient\u00edfica global. Os componentes do sistema de medi\u00e7\u00e3o incluem sondas de temperatura descart\u00e1veis comercialmente dispon\u00edveis, o lan\u00e7ador, o hardware de aquisi\u00e7\u00e3o de dados (DAQ), um receptor do Sistema Global de Navega\u00e7\u00e3o por Sat\u00e9lite (GNSS), um transmissor de sat\u00e9lite opcional e um computador com controles de software. A plataforma de medi\u00e7\u00e3o pode ser qualquer embarca\u00e7\u00e3o mar\u00edtima com espa\u00e7o dispon\u00edvel para o equipamento e operador, e capaz de realizar viagens oce\u00e2nicas nas regi\u00f5es de interesse. A ado\u00e7\u00e3o de uma metodologia padr\u00e3o na instala\u00e7\u00e3o e implanta\u00e7\u00e3o do sistema de medi\u00e7\u00e3o levar\u00e1 a melhorias na qualidade dos dados com impacto subsequente no c\u00e1lculo e compreens\u00e3o das mudan\u00e7as nas propriedades oce\u00e2nicas pr\u00f3ximas \u00e0 superf\u00edcie (por exemplo, conte\u00fado de calor), din\u00e2mica da circula\u00e7\u00e3o oce\u00e2nica e sua rela\u00e7\u00e3o \u00e0 variabilidade clim\u00e1tica. - , - SPANISH === Desde la d\u00e9cada de 1970, los batiterm\u00f3grafos EXpendable (XBT) han brindado la soluci\u00f3n m\u00e1s simple y rentable para el muestreo r\u00e1pido de perfiles de temperatura frente a profundidad de la parte superior del oc\u00e9ano a lo largo de transectos de barcos. Este manual, compilado por el Panel de Implementaci\u00f3n del Programa Ship of Opportunity (SOOPIP), un subgrupo del Equipo de Observaciones de Barcos (SOT) del Grupo de Coordinaci\u00f3n de Observaciones (OCG) del Sistema Global de Observaci\u00f3n de los Oc\u00e9anos (GOOS) junto con miembros del Equipo Cient\u00edfico XBT, tiene como objetivo mejorar la garant\u00eda de calidad de los datos XBT mediante el establecimiento de las mejores pr\u00e1cticas para las mediciones de campo y la promoci\u00f3n de su adopci\u00f3n por parte de la comunidad operativa y cient\u00edfica mundial. Los componentes del sistema de medici\u00f3n incluyen sondas de temperatura desechables disponibles en el mercado, el lanzador, el hardware de adquisici\u00f3n de datos (DAQ), un receptor del sistema global de navegaci\u00f3n por sat\u00e9lite (GNSS), un transmisor de sat\u00e9lite opcional y una computadora con controles de software. La plataforma de medici\u00f3n puede ser cualquier embarcaci\u00f3n mar\u00edtima con espacio disponible para el equipo y el operador, y capaz de realizar viajes oce\u00e1nicos a trav\u00e9s de las regiones de inter\u00e9s. La adopci\u00f3n de una metodolog\u00eda est\u00e1ndar en la instalaci\u00f3n y el despliegue del sistema de medici\u00f3n dar\u00e1 lugar a mejoras en la calidad de los datos con el consiguiente impacto en el c\u00e1lculo y la comprensi\u00f3n de los cambios en las propiedades del oc\u00e9ano cerca de la superficie (p. ej., el contenido de calor), la din\u00e1mica de la circulaci\u00f3n oce\u00e1nica y su relaci\u00f3n. a la variabilidad clim\u00e1tica - , - SPANISH === Desde la d\u00e9cada de 1970, los batiterm\u00f3grafos EXpendable (XBT) han brindado la soluci\u00f3n m\u00e1s simple y rentable para el muestreo r\u00e1pido de perfiles de temperatura frente a profundidad de la parte superior del oc\u00e9ano a lo largo de transectos de barcos. Este manual, compilado por el Panel de Implementaci\u00f3n del Programa Ship of Opportunity (SOOPIP), un subgrupo del Equipo de Observaciones de Barcos (SOT) del Grupo de Coordinaci\u00f3n de Observaciones (OCG) del Sistema Global de Observaci\u00f3n de los Oc\u00e9anos (GOOS) junto con miembros del Equipo Cient\u00edfico XBT, tiene como objetivo mejorar la garant\u00eda de calidad de los datos XBT mediante el establecimiento de las mejores pr\u00e1cticas para las mediciones de campo y la promoci\u00f3n de su adopci\u00f3n por parte de la comunidad operativa y cient\u00edfica mundial. Los componentes del sistema de medici\u00f3n incluyen sondas de temperatura desechables disponibles en el mercado, el lanzador, el hardware de adquisici\u00f3n de datos (DAQ), un receptor del sistema global de navegaci\u00f3n por sat\u00e9lite (GNSS), un transmisor de sat\u00e9lite opcional y una computadora con controles de software. La plataforma de medici\u00f3n puede ser cualquier embarcaci\u00f3n mar\u00edtima con espacio disponible para el equipo y el operador, y capaz de realizar viajes oce\u00e1nicos a trav\u00e9s de las regiones de inter\u00e9s. La adopci\u00f3n de una metodolog\u00eda est\u00e1ndar en la instalaci\u00f3n y el despliegue del sistema de medici\u00f3n dar\u00e1 lugar a mejoras en la calidad de los datos con el consiguiente impacto en el c\u00e1lculo y la comprensi\u00f3n de los cambios en las propiedades del oc\u00e9ano cerca de la superficie (p. ej., el contenido de calor), la din\u00e1mica de la circulaci\u00f3n oce\u00e1nica y su relaci\u00f3n. a la variabilidad clim\u00e1tica - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - International - , - Expendable bathythermograph, Lockheed Martin Sippican - , - XBT, Tsurumi-Seiki Corporation - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1869", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1869", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1869", "url": "https:\/\/hdl.handle.net\/11329\/1869" }, "author": [ { "@type": "Person", "name": "Parks, Justine" }, { "@type": "Person", "name": "Bringas, Francis" }, { "@type": "Person", "name": "Hanstein, Craig" }, { "@type": "Person", "name": "Krummel, Lisa" }, { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Sprintall, Janet" }, { "@type": "Person", "name": "Cheng, Lijing" }, { "@type": "Person", "name": "Cirano, Mauro" }, { "@type": "Person", "name": "Cruz, Samantha" }, { "@type": "Person", "name": "Goes, Marlos" }, { "@type": "Person", "name": "Kizu, Shoichi" }, { "@type": "Person", "name": "Reseghetti, Franco" } ], "contributor": [ { "@type": "Organization", "name": "Scripps Institution of Oceanography, Climate, Atmospheric Sciences, and Physical Oceanography, University of California, San Diego" } ], "keywords": [ "XBT", "Temperature measurement", "Water column temperature and salinity", "bathythermographs", "Data acquisition", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1822", "name": "Management and utilization of seals in Greenland, February 2015. Addendum to: White Paper on Management and Utilization of Seals in Greenland (April 2012).", "description": " - This document is an addendum to the White Paper on Management and Utilization of Seals in Greenland from April 2012 and the two documents should be read together. Box 1: Abundant seal populations Harp seal: Advice on sustainable use on harp seal is given by a working group under the International Council for the Exploration of the Sea (ICES\/NAFO: WGHARP). The working group consists of scientist from Norway, Canada, Greenland and Russia. Roughly every fifth year the pup production is estimated by surveys. The total number of seals in the stock is then calculated based on the survey estimate and data on the age-distribution in the stock, age of sexual maturity, the reproduction rate of the adult females and data on the catches. In many years the working group calculated quotas small enough to allow the stocks to grow. This led to a steady growth in periods when the quotas were taken and strong growth in periods with small commercial catches. The stock that give birth in the Greenland Sea seem to continue its growth, but the west Atlantic population that whelp around Newfoundland now seem to have reached the carrying capacity of its habitat. This means that the fecundity of the seals has been significantly reduced, so that the population no longer produces a surplus every year. New management principles, which allow a reduction of the seal populations has therefore been introduced. The reduction is limited to a magnitude that secures a large and healthy population, which will produce up to the maximum sustainable yield (MSY) of the population. A population around the carrying capacity produce no surplus (pup production roughly equals natural mortality). A surplus is created and increase as the population is reduced down to a point with the maximum sustainable yield. For harp seals this is a point (believed to be around 70% of the carrying capacity level), when both the population and the reproduction is high. The new management principles allow a reduction of the populations to 70% of their maximum levels. Quotas can therefore be set based on ecological or socioeconomic considerations as long as the population is kept above 70% of Nmax, which for the West Atlantic population has been set to 7.8 million - the level found in 2008. If the stock gets below 70 %, of the maximal size, a management plan should be initiated with the purpose of increasing the stock above 70 % again. If the stock gets below 50 %, further protection measures should be initiated, and if the stock gets below 30 % all hunting should be stopped. This type of management should only be used for stocks with reliable and plenty data. ICES\/NAFO working group on harp and hooded seals estimated the population in the Northwest Atlantic to be approximately 7.4 million seals in 2014. This is a reduction of 400,000 seals since 2008, but this reduction has mainly been caused by low reproduction and high natural mortality (many pups dying in years with poor ice conditions in the whelping areas). The total allowable catch (TAC) for Canada is set to 400,000 (since 2011). , but catches in Canada has since 2008 been far below the TAC. In 2013, Greenland caught about 79,600 harp seals while Canada caught about 94,000 harp seals, less than 44 % of the TAC. Ringed seal: In 1996 a working group established by The North Atlantic Marine Mammal Commission\u2019s (NAMMCO) Scientific Committee concluded that Greenland\u2019s current take of ringed seal was sustainable. Three substantial arguments for this conclusion were that the current hunting pressure has been maintained for a number of years without visible signs of a decline in the population, that Greenland\u2019s take is particularly made up of males and very young individuals and that the ringed seal\u2019s very wide and even distribution across most of the Arctic limits large-scale overexploitation. Even though ringed seals are widely dispersed and apparently capable of surviving under very severe ice conditions, they are considered vulnerable to sudden changes in ice coverage. 4 Box 1: continued The total number of ringed seals is still unknown, but is estimated to 6-7 million. Among them, approx. 1 million are of the subspecies Pusa hispida ochotensis, while the other three southern subspecies together only constitute in the region of 10,000 individuals. The estimate of Arctic ringed seals is about 5 million. Hooded seal: ICES\/NAFO working group on harp and hooded seals estimates the current population in the Northwest Atlantic at 600,000 seals in 2005 (last assessment), which is an increase from 478,000 in 1965. In Canada the TAC on hooded seals older than bluebacks has been at 8,200 seals since 2008. It is, however, mainly the blue back skin that is of interest for the sealers and in recent years less than hundred hooded seals have been caught annually in Canada. No hooded seals were reported taken in 2013 and according to the preliminary estimates for 2014 only 7 hooded seal was taken. In 2013, Greenland caught 1,498 hooded seals, which is the lowest catch since 1962. The population is not considered endangered. The Greenland Sea stock of hooded seal was severely overexploited by Norwegian sealers in the years after the Second World War. It is presently at a level around 80,000, which is believed to be less than 30 % of former levels and all commercial hunting has stopped. Since 2007 only few seals have been taken for scientific purposes and a small insignificant number (since 2006 less than 10\/yr.) is taken by hunters from the Greenland settlement Ittoqqortoormiit - , - Government of Greenland, Ministry of Fisheries, Hunting & Agriculture - , - Published - , - Current - , - 14 - , - N\/A - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1822", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1822", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1822", "url": "https:\/\/hdl.handle.net\/11329\/1822" }, "contributor": [ { "@type": "Organization", "name": "Government of Greenland, Ministry of Fisheries, Hunting & Agriculture" } ], "keywords": [ "Indigenous communites", "Indigenous rights", "Seals", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1167", "name": "Manual on the WMO Integrated Global Observing System. Annex VIII to the WMO Technical Regulations. 2015 edition, updated in 2017.", "description": " - This is the first edition of the Manual on the WMO Integrated Global Observing System(WMO-No. 1160), developed following the decision of the Sixteenth World MeteorologicalCongress to proceed with the implementation of that System (WIGOS). It was approved by theSeventeenth World Meteorological Congress.2.The Manual was developed by the Executive Council through its Inter-CommissionCoordination Group on WIGOS, specifically its Task Team on WIGOS Regulatory Material. It isthe result of a collaborative approach involving all interested technical commissions under theleadership of the Commission for Basic Systems (CBS) and the Commission for Instruments andMethods of Observation (CIMO).Purpose and scope3.The Manual is designed:(a)To specify the obligations of Members in the implementation and operation of WIGOS;(b)To facilitate cooperation in observations between Members;(c)To ensure adequate uniformity and standardization in the practices and proceduresemployed in achieving (a) and (b) above.4.The Manual is Annex VIII to the Technical Regulations (WMO-No. 49) and should beread in conjunction with the four volumes and the set of annexes which together make up theTechnical Regulations. In particular, the Manual on the Global Observing System (WMO-No. 544)will be for some time a companion to the present Manual, but it will eventually disappear as itscontent is progressively moved into the Manual on the WMO Integrated Global Observing System.Gradually, all technical regulations for all WMO component observing systems will be includedunder the identity of WIGOS. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1167", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1167", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1167", "url": "https:\/\/hdl.handle.net\/11329\/1167" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "WIGOS", "Parameter Discipline::Atmosphere::Meteorology", "Parameter Discipline::Cryosphere::Cryosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1245", "name": "Best Practices Document Template: Data Management, Version 2023-06-26.", "description": " - This Best Practice document template is provided by the Ocean Best Practices System as recommended content and format for the creation of new Best Practice documents for data management. This is version 2023-06-26 created with the help of a small group from the ocean observing community. It is expected that with usage by the community updated versions may be issued. - , - Published - , - Current - , - 14.A - , - Mature - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1245", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1245", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1245", "url": "https:\/\/hdl.handle.net\/11329\/1245" }, "contributor": [ { "@type": "Organization", "name": "International Oceanographic Data and Information Exchange(IODE) for Ocean Best Practices System" } ], "keywords": [ "Ocean Best Practices System", "OBPS", "Document template", "Data management", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2471", "name": "Cardno OceanSense Wave Data Quality Manual - Bureau of Meteorology Wave Buoy Support - Version Rev A", "description": " - Manual for wave buoys, covering measurements, calibration software, wave parameter definitions, automatic QC\/QA configuration, and technical support. - , - Published - , - Current - , - 14.2 - , - Sea state - , - Pilot or Demonstrated - , - Organisational - , - National - , - Wave height - , - Tide water level - , - Waverider buoys Datawell - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2471", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2471", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2471", "url": "https:\/\/hdl.handle.net\/11329\/2471" }, "author": [ { "@type": "Person", "name": "Aubourg, David" }, { "@type": "Person", "name": "Smith, Mathew" } ], "contributor": [ { "@type": "Organization", "name": "Cardno (NSW\/ACT) Pty Ltd" } ], "keywords": [ "Waves", "wave recorders", "Data acquisition", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1435", "name": "Marine Debris Survey Information Guide.", "description": " - Marine debris surveys are part of the Gulf St. Vincent Marine Threat Abatement project, initiated by the Adelaide and Mount Lofty Ranges Natural Resources Management Board (AMLRNRMB) and supported through the Australian Government\u2019s Caring for Our Country initiative. This is a collaborative project between three Natural Resource Management Boards (AMLR, Kangaroo Island and Northern and Yorke), Whale and Dolphin Conservation Society, South Australian Museum and other organisations around Gulf St Vincent to address the Australian Government\u2019s Marine Debris Threat Abatement Plan to minimise impacts on marine species. The Marine Debris Project seeks to implement objectives of the Threat Abatement Plan (TAP) for Marine Wildlife at a local level. - , - Published - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1435", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1435", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1435", "url": "https:\/\/hdl.handle.net\/11329\/1435" }, "author": [ { "@type": "Person", "name": "Peters, Kristian" } ], "contributor": [ { "@type": "Organization", "name": "Adelaide and Mount Lofty Ranges Natural Resources Management Board" } ], "keywords": [ "Marine plastics", "Marine litter", "Marine debris", "Citizen Science", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1549", "name": "2020-2021 Best practices guide for minimizing marine life entanglement.", "description": " - Whale and sea turtle entanglements are a concern for fishermen, the public, California Department of Fish and Wildlife (CDFW), Ocean Protection Council and the National Marine Fisheries Service (NMFS). The California Dungeness Crab Fishing Gear Working Group developed this guide as part of a proactive and comprehensive approach to addressing entanglements in Dungeness crab gear. Taking these important steps will help maintain the fleet\u2019s access to this valuable resource. - , - NOAA, NMFS - , - Published - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1549", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1549", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1549", "url": "https:\/\/hdl.handle.net\/11329\/1549" }, "contributor": [ { "@type": "Organization", "name": "California Ocean Protection Council" } ], "keywords": [ "Fishing gear", "Abandoned fishing gear", "Parameter Discipline::Biological oceanography::Disease, damage and mortality", "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2327", "name": "Quantifying 210Po\/210Pb Disequilibrium in Seawater: A Comparison of Two Precipitation Methods With Differing Results.", "description": " - The disequilibrium between lead-210 (210Pb) and polonium-210 (210Po) is increasingly used in oceanography to quantify particulate organic carbon (POC) export from the upper ocean. This proxy is based on the deficits of 210Po typically observed in the upper water column due to the preferential removal of 210Po relative to 210Pb by sinking particles. Yet, a number of studies have reported unexpected large 210Po deficits in the deep ocean indicating scavenging of 210Po despite its radioactive mean life of 200 days. Two precipitation methods, Fe(OH)3 and Co-APDC, are typically used to concentrate Pb and Po from seawater samples, and deep 210Po deficits raise the question whether this feature is biogeochemically consistent or there is a methodological issue. Here, we present a compilation of 210Pb and 210Po studies that suggests that 210Po deficits at depths >300 m are more often observed in studies where Fe(OH)3 is used to precipitate Pb and Po from seawater, than in those using Co-APDC (in 68 versus 33% of the profiles analyzed for each method, respectively). In order to test whether 210Po\/210Pb disequilibrium can be partly related to a methodological artifact, we directly compared the total activities of 210Pb and 210Po in four duplicate ocean depth-profiles determined by using Fe(OH)3 and Co-APDC on unfiltered seawater samples. While both methods produced the same 210Pb activities, results from the Co- APDC method showed equilibrium between 210Pb and 210Po below 100 m, whereas the Fe(OH)3 method resulted in activities of 210Po significantly lower than 210Pb throughout the entire water column. These results show that 210Po deficits in deep waters, but also in the upper ocean, may be greater when calculated using a commonly used Fe(OH)3 protocol. This finding has potential implications for the use of the 210Po\/210Pb pair as a tracer of particle export in the oceans because 210Po (and thus POC) fluxes calculated using Fe(OH)3 on unfiltered seawater samples may be overestimated. Recommendations for future research are provided based on the possible reasons for the discrepancy in 210Po activities between both analytical methods. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2327", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2327", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2327", "url": "https:\/\/hdl.handle.net\/11329\/2327" }, "author": [ { "@type": "Person", "name": "Roca-Mart\u00ed, Montserrat" }, { "@type": "Person", "name": "Puigcorb\u00e9, Viena" }, { "@type": "Person", "name": "Castrillejo, Maxi" }, { "@type": "Person", "name": "Casacuberta, N\u00faria" }, { "@type": "Person", "name": "Garcia-Orellana, Jordi" }, { "@type": "Person", "name": "Cochran, J. Kirk" }, { "@type": "Person", "name": "Masqu\u00e9, Pere" } ], "keywords": [ "Polonium isotopes", "Particle export", "Radiochemistry", "Precipitation methods", "Lead", "Other inorganic chemical measurements", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/787", "name": "Performance Demonstration Statement Sunburst Sensors SAMI-CO2.", "description": " - Alliance for Coastal Technology (ACT) demonstration projects are designed to characterize performance of relatively new and promising instruments for applications in coastal science, coastal resource management and ocean observing. ACT has evaluated four commercial pCO2 instruments that are capable of being moored for weeks to months. This document is termed a \u201cDemonstration Statement\u201d and provides a summary of the results for the Sunburst SAMI-CO2. Briefly, test instruments were mounted on surface moorings in a temperate stratified estuary (Twanoh Buoy, Hood Canal Washington; August-September 2009; http:\/\/orca.ocean.washington.edu\/mooringDesign.html;) and a coral reef (Kaneohe Bay Hawaii; October-November 2009; http:\/\/www.pmel.noaa.gov\/co2\/coastal\/HI\/). The sites were chosen based on existing moorings and the expected rapid changes in seawater temperature and pCO2. Water samples were collected to determine pH and Total Alkalinity (TA) for calculation of pCO2 (CO2Sys; Pierrot et.al. 2006) and direct measurements of pCO2 using a flow-through pCO2 analyzer (Oregon State University; gas equilibration and infrared gas detection). In situ pCO2 measurements are compared to both of these references and estimates of analytical and environmental variability are reported. Quality Assurance (QA) and oversight of the demonstration process was accomplished by the ACT QA specialists, who conducted technical, protocol and data quality audits. At Twanoh buoy, Hood Canal, temperature varied from 11.09 to 19.62 oC and salinity varied from 24.3 to 29.1. Measured pCO2 values of reference samples varied from 334 to 488 \u00b5atm, while the 30 minute measurements by the SAMI-CO2 varied from about 340 to 900 \u00b5atm, demonstrating a more complete assessment of the variability in the ecosystem. The mean and standard deviation of the difference for individual SAMI-CO2 determinations and the Flow Analyzer reference measurements were +23 \u00b1 13 \u00b5atm (n=31; SAMI-CO2 - Flow Analyzer). The mean and standard deviation of the difference for individual SAMI-CO2 determinations and the pCO2Sys reference measurements were +18 \u00b1 40 \u00b5atm (n=42; SAMI-CO2 - pCO2Sys). At NOAA Crimp 2 buoy, Kaneohe Bay, temperature varied from 23.24 to 28.27 oC and salinity varied from 34.1 \u2013 35.2 over the deployment. Measured pCO2 values of reference samples varied from 314 to 608 \u00b5atm, while the 30 minute measurements by the SAMI-CO2 varied from about 320 to 900 \u00b5atm, again capturing more of the full variability in the ecosystem. The mean and standard deviation of the difference for individual SAMI-CO2 determinations and the Flow Analyzer measurements were +28 \u00b1 9 \u00b5atm (n=13; SAMI-CO2 - Flow Analyzer). The mean and standard deviation of the difference for individual SAMI-CO2 determinations and the pCO2Sys reference measurements were +40 \u00b1 13 \u00b5atm (n=45; SAMI-CO2 - pCO2Sys). The instrument on both test moorings functioned throughout the month-long deployment, and 100 percent of expected data were retrieved. The continuous, 30 minute time-series data (plotted hourly; n=535 and n=618 for WA and HI, respectively) provided by the instruments revealed diel patterns in pCO2 and captured a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. There were no changes in the differences between instrument and reference measurements during either test, indicating that biofouling and instrument drift did not affect measurement performance over the duration of the test. - , - Published - , - Refereed - , - Current - , - Carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/787", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/787", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/787", "url": "https:\/\/hdl.handle.net\/11329\/787" }, "author": [ { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1265", "name": "From In Situ to satellite observations of pelagic Sargassum distribution and aggregation in the Tropical North Atlantic Ocean.", "description": " - The present study reports on observations carried out in the Tropical North Atlantic in summer and autumn 2017, documenting Sargassum aggregations using both ship-deck observations and satellite sensor observations at three resolutions (MSI-10 m, OLCI-300 m, VIIRS-750 m and MODIS-1 km). Both datasets reported that in summer, Sargassum aggregations were mainly observed off Brazil and near the Caribbean Islands, while they accumulated near the African coast in autumn. Based on in situ observations, we propose a fiveclass typology allowing standardisation of the description of in situ Sargassum raft shapes and sizes. The most commonly observed Sargassum raft type was windrows, but large rafts composed of a quasi-circular patch hundreds of meters wide were also observed. Satellite imagery showed that these rafts formed larger Sargassum aggregations over a wide range of scales, with smaller aggregations (of tens of m2 area) nested within larger ones (of hundreds of km2). Match-ups between different satellite sensors and in situ observations were limited for this dataset, mainly because of high cloud cover during the periods of observation. Nevertheless, comparisons between the two datasets showed that satellite sensors successfully detected Sargassum abundance and aggregation patterns consistent with in situ observations. MODIS and VIIRS sensors were better suited to describing the Sargassum aggregation distribution and dynamics at Atlantic scale, while the new sensors, OLCI and MSI, proved their ability to detect Sargassum aggregations and to describe their (sub-) mesoscale nested structure. The high variability in raft shape, size, thickness, depth and biomass density observed in situ means that caution is called for when using satellite maps of Sargassum distribution and biomass estimation. Improvements would require additional in situ and airborne observations or very high-resolution satellite imagery. - , - Refereed - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1265", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1265", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1265", "url": "https:\/\/hdl.handle.net\/11329\/1265" }, "author": [ { "@type": "Person", "name": "Ody, Anouck" }, { "@type": "Person", "name": "Thibaut, Thierry" }, { "@type": "Person", "name": "Berline, Leo" }, { "@type": "Person", "name": "Changeux, Thomas" }, { "@type": "Person", "name": "Andre, Jean-Michel" }, { "@type": "Person", "name": "Chevalier, Crist\u00e8le" }, { "@type": "Person", "name": "Blanfune, Aurelie" }, { "@type": "Person", "name": "Blanchot, Jean" }, { "@type": "Person", "name": "Ruitton, Sandrine" }, { "@type": "Person", "name": "Stiger-Pouvreau, Valerie" }, { "@type": "Person", "name": "Connan, Sol\u00e8ne" }, { "@type": "Person", "name": "Grelet, Jacques" }, { "@type": "Person", "name": "Aurelle, Didier" }, { "@type": "Person", "name": "Guene, Mathilde" }, { "@type": "Person", "name": "Bataille, Hubert" }, { "@type": "Person", "name": "Bachelier, C\u00e9line" }, { "@type": "Person", "name": "Guillemain, Dorian" }, { "@type": "Person", "name": "Schmidt, Natascha" }, { "@type": "Person", "name": "Fauvelle, Vincent" }, { "@type": "Person", "name": "Guasco, Sophie" }, { "@type": "Person", "name": "Menard, Frederic" } ], "keywords": [ "Satellite sensing", "Shipboard observation", "Sargassum", "Seaweed", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/445", "name": "Best practices in RNA & DNA sample preparation with Precellys Evolution! [White paper]", "description": " - When the ocean is dying, the planet is too... Coral reefs are already heavily affected, but the entire marine flora and fauna is threatened by ocean acidification and global warming . According to Australian researchers, greenhouse gas emissions might lead to a \"collapse\" of marine species and thus of the food chain. 10 to 12% of the species might disappear if the temperature increases by 2 \u00b0 C compared to the pre -industrial era . As an example the loss of corals will be a disaster for 500 million people who depend on this ecosystem to live and feed themselves . Advances in research regarding the behavior of the marine world (seeds, eggs, larvae, corals reef, algae ...) using protein markers, genetics and direct observations allow researchers to better apprehend the biodiversity and ecological balance . As these researches are characterized by a large variety of life forms, researchers need a flexible tool to prepare their sample before proceeding to molecular downstream analysis . - , - Published - , - Current - , - Hard coral cover and composition - , - Macroalgal canopy cover - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/445", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/445", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/445", "url": "https:\/\/hdl.handle.net\/11329\/445" }, "contributor": [ { "@type": "Organization", "name": "Bertin Instruments" } ], "keywords": [ "Coral reefs", "Macroalgae", "Sample preparation", "Biological sampling", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/553.4", "name": "Australian Multibeam Guidelines [Version 2] [ENDORSED PRACTICE]", "description": " - The primary objective of this guideline is thus to establish common approaches of acquisition and processing that will result in greater applicability and interoperability of swath acoustic mapping data. These approaches will also provide improved consistency in the collection and description of the data, increasing utility. To achieve this objective, AusSeabed, a national seabed mapping coordination program run by a consortium of representatives from Commonwealth and State governments, universities and industry, was formed. AusSeabed\u2019s role is to encourage and facilitate the initial collection of seabed mapping data and make it available for use by all stakeholders. - , - Published - , - Also issued in : Przeslawski, R. and Foster, S. [eds] (2024). Field Manuals for Marine Sampling to Monitor Australian Waters, Version 3. Canberra, Australia, National Environment Science Program (NESP), Marine and Coastal Hub. DOI: https:\/\/doi.org\/10.25607\/OBP-918.2 - , - Current - , - 14.a - , - N\/A - , - Bathymetry - , - Backscatter - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/553.4", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/553.4", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/553.4", "url": "https:\/\/hdl.handle.net\/11329\/553.4" }, "author": [ { "@type": "Person", "name": "Picard, K." }, { "@type": "Person", "name": "Leplastrier, A." }, { "@type": "Person", "name": "Austine, K." }, { "@type": "Person", "name": "Bergensen, N." }, { "@type": "Person", "name": "Cullen, R." }, { "@type": "Person", "name": "Dando, N." }, { "@type": "Person", "name": "Donohue, D." }, { "@type": "Person", "name": "Edwards, S." }, { "@type": "Person", "name": "Ingleton, T." }, { "@type": "Person", "name": "Jordan, A." }, { "@type": "Person", "name": "Lucieer, V." }, { "@type": "Person", "name": "Parnum, I." }, { "@type": "Person", "name": "Siwabessy, J." }, { "@type": "Person", "name": "Spinoccia, M." }, { "@type": "Person", "name": "Talbot-Smith, R." }, { "@type": "Person", "name": "Waterson, C." }, { "@type": "Person", "name": "Barrett, N." }, { "@type": "Person", "name": "Beaman, R." }, { "@type": "Person", "name": "Bergersen, D." }, { "@type": "Person", "name": "Boyd, M." }, { "@type": "Person", "name": "Brace, B." }, { "@type": "Person", "name": "Brooke, B." }, { "@type": "Person", "name": "Cantrill, O." }, { "@type": "Person", "name": "Case, M." }, { "@type": "Person", "name": "Dunne, S." }, { "@type": "Person", "name": "Felllows, M." }, { "@type": "Person", "name": "Harris, U." }, { "@type": "Person", "name": "Ierodicaonou, D." }, { "@type": "Person", "name": "Johnstone, E." }, { "@type": "Person", "name": "Kennedy, P." }, { "@type": "Person", "name": "Lewis, A." }, { "@type": "Person", "name": "Lytton, S." }, { "@type": "Person", "name": "Mackay, K." }, { "@type": "Person", "name": "McLennan, S." }, { "@type": "Person", "name": "Mitchell, C." }, { "@type": "Person", "name": "Nichol, S." }, { "@type": "Person", "name": "Post, A." }, { "@type": "Person", "name": "Price, A." }, { "@type": "Person", "name": "Przeslawski, R." }, { "@type": "Person", "name": "Pugsley, L." }, { "@type": "Person", "name": "Quadros, N." }, { "@type": "Person", "name": "Smith, J." }, { "@type": "Person", "name": "Stewart, W." }, { "@type": "Person", "name": "Sullivan, J." }, { "@type": "Person", "name": "Tran, M." }, { "@type": "Person", "name": "Whiteway, T." } ], "contributor": [ { "@type": "Organization", "name": "AusSeaBed \/ Geoscience Australia" } ], "keywords": [ "Marine acoustics", "Parameter Discipline::Environment", "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::multi-beam echosounders", "Data Management Practices::Metadata management", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data archival\/stewardship\/curation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/476", "name": "Model Test Bed for Evaluating Wave Models and Best Practices for Resource Assessment and Characterization.", "description": " - A wave model test bed is established to benchmark, test and evaluate spectral wave models and modeling methodologies (i.e., best practices) for predicting the wave energy resource parameters recommended by the International Electrotechnical Commission, IEC TS 62600-101Ed. 1.0 \u00a92015. Among other benefits, the model test bed can be used to investigate the suitability of different models, specifically what source terms should be included in spectral wave models under different wave climate conditions and for different classes of resource assessment. The overarching goal is to use these investigations to provide industry guidance for model selection and modeling best practices depending on the wave site conditions and desired class of resource assessment. Modeling best practices are reviewed, and limitations and knowledge gaps in predicting wave energy resource parameters are identified. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea state - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/476", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/476", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/476", "url": "https:\/\/hdl.handle.net\/11329\/476" }, "author": [ { "@type": "Person", "name": "Neary, Vincent S." }, { "@type": "Person", "name": "Gunawan, Budi" }, { "@type": "Person", "name": "Yang, Zhaoqing" }, { "@type": "Person", "name": "Dallman, Ann R." }, { "@type": "Person", "name": "Wang, Taiping" } ], "contributor": [ { "@type": "Organization", "name": "Pacific Northwest National Laboratories and Sandia National Laboratories" } ], "keywords": [ "Wave models", "Wave energy", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/661", "name": "Novel methods for automated in situ observations of phytoplankton diversity. WP.3, D3.1,Version 9.", "description": " - Phytoplankton forms the base of the marine food web. The number of phytoplankton taxa in the sea have been estimated to be over 10 000. All of them are primary producers but the ecological function of the different taxa varies. Many species can not only utilize light as an energy source but also feed on other organisms. Some of the species are harmful, e.g. producing phycotoxins that may accumulate in sea food and pose a threat to human health. Phytoplankton vary in size and shape; the size range is approximately 0.8 \u00b5m to 0.5 mm. Colonies of cells may be a few mm in size. Traditionally phytoplankton is monitored by collecting water samples and analysing them manually using microscopy. This is a good but labour-intensive method. The last few decades novel methodologies have been developed to be able to process a much larger number of samples compared to microscopy and to do it automated and autonomously. The novel methodologies include optical methods and also molecular biological methods described in JERICO-NEXT deliverable 3.7 Progress report after development of microbial and molecular sensors. An overview of current methods is presented in table 1. Remote sensing is outside the scope of JERICONEXT. The aim of this report is to describe results from JERICO-NEXT on the development and evaluation of novel methodology for observing phytoplankton in situ. There are three main approaches used: 1. Imaging in Flow systems (Imaging Flow Cytometry) - Describing the phytoplankton composition based on morphology by imaging individual cells. Describing the plankton community imaging organisms and colonies of cyanobacteria in the free water mass in situ. 2. Single-cell optical analysis (Pulse shape-recording Flow cytometry) - Describing the phytoplankton composition based on the fluorescence properties (pigment content) and scattering properties of individual cells. 3. Bulk optical approaches (multi-spectral Fluorescence or absorption\/variable fluorescence) \u2013 describing the phytoplankton community based on bulk properties: fluorescence or absorption of a large number of cells. Multi wavelength approaches makes it possible to differentiate pigment groups of microalgae, whereas variable fluorimetry addresses photosynthetic parameters and potential productivity. - , - Published - , - Refereed - , - Current - , - Phytoplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/661", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/661", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/661", "url": "https:\/\/hdl.handle.net\/11329\/661" }, "author": [ { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Artigas, Felipe" }, { "@type": "Person", "name": "Cr\u00e9ach, Veronique" }, { "@type": "Person", "name": "Louchart, Arnaud" }, { "@type": "Person", "name": "Wacquet, Guilliaume" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/851", "name": "Development of a Continuous Phytoplankton Culture System for Ocean Acidification Experiments.", "description": " - Around one third of all anthropogenic CO2 emissions have been absorbed by the oceans, causing changes in seawater pH and carbonate chemistry. These changes have the potential to affect phytoplankton, which are critically important for marine food webs and the global carbon cycle. However, our current knowledge of how phytoplankton will respond to these changes is limited to a few laboratory and mesocosm experiments. Long-term experiments are needed to determine the vulnerability of phytoplankton to enhanced pCO2. Maintaining phytoplankton cultures in exponential growth for extended periods of time is logistically difficult and labour intensive. Here we describe a continuous culture system that greatly reduces the time required to maintain phytoplankton cultures, and minimises variation in experimental pCO2 treatments over time. This system is simple, relatively cheap, flexible, and allows long-term experiments to be performed to further our understanding of chronic responses and adaptation by phytoplankton species to future ocean acidification. - , - Refereed - , - 14.2 - , - 14.3 - , - Phytoplankton biomass and diversity - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/851", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/851", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/851", "url": "https:\/\/hdl.handle.net\/11329\/851" }, "author": [ { "@type": "Person", "name": "Wynn-Edwards, Cathryn" }, { "@type": "Person", "name": "King, Rob" }, { "@type": "Person", "name": "Kawaguchi, So" }, { "@type": "Person", "name": "Davidson, Andrew" }, { "@type": "Person", "name": "Wright, Simon" }, { "@type": "Person", "name": "Nichols, Peter D." }, { "@type": "Person", "name": "Virtue, Patti" } ], "keywords": [ "Phytoplankton", "Continuous culture", "Ocean acidification", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2498", "name": "ISO 24578:2021. Hydrometry \u2014 Acoustic Doppler profiler \u2014 Method and application for measurement of flow in open channels from a moving boat. Edition 1.", "description": " - This document gives guidelines for the use of boat-mounted acoustic Doppler current profilers (ADCPs) for determining flow in open channels. It describes a number of methods of deploying ADCPs to determine flow. Although, in some cases, these measurements are intended to determine the stage-discharge relationship of a gauging station, this document deals only with single determination of discharge. ADCPs can be used to measure a variety of parameters, such as current or stream flow, water velocity fields, and channel bathymetry. As a potential application, an idea of bedload discharge can be obtained applying the bottom track velocity, while suspended sediment flow can be obtained applying the acoustic backscatter and the sonar equation. This document is generic in form and contains no operational details specific to particular ADCP makes and models. - , - Published - , - Refereed - , - Current - , - 14.a - , - Surface currents - , - Subsurface currents - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Methodological commentary\/perspect - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2498", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2498", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2498", "url": "https:\/\/hdl.handle.net\/11329\/2498" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Flow measurement", "Liquid flow", "Vocabulary", "Hydrometry", "Acoustic doppler current profiler (ADCP)", "Currents", "acoustic velocity systems", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2514", "name": "ISO 9698:2019. Tritium \u2014 Test method using liquid scintillation counting. Edition 3.", "description": " - This document specifies a method by liquid scintillation counting for the determination of tritium activity concentration in samples of marine waters, surface waters, ground waters, rain waters, drinking waters or of tritiated water ([3H]H2O) in effluents. The method is not directly applicable to the analysis of organically bound tritium; its determination requires additional chemical processing of the sample (such as chemical oxidation or combustion). With suitable technical conditions, the detection limit may be as low as 1 Bq\u00b7l\u22121. Tritium activity concentrations below 106 Bq\u00b7l\u22121 can be determined without any sample dilution. - , - Published - , - Refereed - , - Current - , - 14.a - , - Transient tracers - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2514", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2514", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2514", "url": "https:\/\/hdl.handle.net\/11329\/2514" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Radionuclides", "Radioactivity", "Tritium", "Other inorganic chemical measurements", "liquid scintillation counters", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/577", "name": "NOS Procedures for Developing and Implementing Operational Nowcast and Forecast Systems for PORTS.", "description": " - In order to meet its operational oceanographic mission responsibilities, the National Ocean Service\/Center for Operational Oceanographic Products and Services (NOS\/CO-OPS) will be developing and implementing nowcast and forecast models to support the Physical Oceanographic Real Time Systems (PORTS). These models will be designed to enhance the navigational guidance supplied by PORTS real-time observations by providing information regarding both the present (nowcast) and future (forecast) oceanographic conditions at many locations within an estuary. These models will be developed within CO-OPS, the Coast Survey Development Laboratory (CSDL) and by groups outside of NOS. NOS must ensure that these models have been developed and implemented in a scientifically sound and operationally robust way; that the model\u2019s shortcoming are understood; that the products are clear, understandable, and useful; and that all products and procedures are authoritative in the face of potential legal challenges. It is imperative that the nowcast and forecast systems are developed consistent with user needs and with the operational environment in which they will be run. All models (including statistical models) that produce NOS PORTSsanctioned nowcasts and forecasts in support of safe navigation, whether developed within or outside NOS, will be developed and implemented in adherence to the procedures contained in this document. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/577", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/577", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/577", "url": "https:\/\/hdl.handle.net\/11329\/577" }, "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Nowcast", "Forecast", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/730", "name": "Performance Verification Statement for NOC Phosphate Analyzer.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ nutrient analyzers during 2016 to characterize performance measures of accuracy, precision and reliability. The verification including a week of laboratory testing along with three moored field deployments in freshwater, estuarine, and oceanic coastal environments. Laboratory tests of accuracy, precision, and range were conducted at the University of Maryland\u2019s Chesapeake Biological Laboratory (CBL) in Solomons, MD. A series of five tests were conducted to evaluate performance under controlled challenge conditions including: concentration range, temperature, salinity, turbidity, and dissolved organic carbon. All laboratory tests were conducted in 250 L polypropylene tank using RO water as the initial matrix, within a temperature controlled room. Instruments sampled from a common, well-mixed, test tank maintained at a documented level of known challenge condition. Instruments were set-up by the manufacturer daily prior to the start of each individual laboratory test, exposed to each test condition for a period of three hours, and programmed to sample at a minimum frequency of 30 minutes. Reference samples were collected every 30 minutes for five timepoints during corresponding instrument sampling times for each test. For the laboratory concentration range challenge the absolute difference between the NOCPO4 and reference measurement across all timepoints for trials C0 \u2013 C5 ranged from -0.0153 to 0.0025 mgP\/L, with a mean of -0.0027 \u00b10.0043 mgP\/L. There was a small but significant increase in the measurement difference with increasing concentration as determined by linear regression (p=0.008; r2=0.27). However, the change in accuracy mostly occurred at the highest test concentration (0.406 mgP\/L) with measurement difference of -0.0103 mgP\/L. An assessment of precision was performed by computing the standard deviations and coefficients of variation of the five replicate measurements for C1 \u2013 C5 concentration trials. The standard deviation of the mean ranged from 0.0002 to 0.0050 mgP\/L across the five trials, and the coefficient of variation ranged from 1.25 to 5.25 percent. For the laboratory temperature challenge with testing at 5 oC, the absolute difference between instrument and reference measurement across all timepoints for trials C2 \u2013 C4 ranged from -0.0095 to -0.0004 mgP\/L, with a mean of -0.0045 \u00b10.0031 mgP\/L. There was no significant difference in measurement accuracy at the C2 concentration level. However, measurement differences were significantly more negative (under-predicted) for the C3 and C4 concentration trials at 5 oC then at 20 oC, with offsets of -0.0050 and -0.0071, respectively. For the laboratory salinity challenge performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the three added salinity levels ranged from -0.0021 to 0.0125 mgP\/L, with a mean of 0.004 \u00b10.0051 mgP\/L. There was no statistically significant response between measurement accuracy and salinity across all trials (p=0.32; r2=.08). For the laboratory turbidity challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added turbidity levels ranged from -0.0033 to 0.0014 mgP\/L, with a mean of -0.0007 \u00b10.0017 mgP\/L. A linear regression of the measurement differences versus turbidity was not significant (p<0.12; r2=0.20). For the laboratory DOC challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added DOC levels ranged from -0.0006 to 0.0098 mgP\/L, with a mean of 0.0015 \u00b10.0034 mgP\/L. A linear regression of the measurement differences versus DOC concentration was barely non-significant (p=0.056; r2=0.27). Measurement offset was 0.004 mgP\/L more positive at 10 versus 1 mgC\/L. A 32 day field deployment occurred from May 26 through June 27 in the Maumee River, at the facilities of the Bowling Green, Ohio Water Treatment Plant. The NOC-PO4 operatedsuccessfully during the entire 32 day deployment sampling at hourly intervals, but lost 12 days of data between 5\/27 \u2013 6\/8 due to a problem writing results to the SD memory card. The NOC-PO4 generated 461 observations out of a possible 763 for a data completion result of 60.4%. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=28 of a possible 51 observations) over the total deployment was 0.034 \u00b1 0.024 mgP\/L with a total range of -0.033 to 0.079 mgP\/L. There was a small but significant trend in measurement difference over time as estimated by linear regression (p= 0.03; r2=0.17) with a slope of 0.001 mgP\/L\/d. A linear regression of instrument versus reference measurement was highly significant (p<0.0001; r2 = 0.49) but with a slope of only 0.65 and intercept of 0.045. The NOC-PO4 handled the measurement range equally well, but was generally over-predicting concentrations as noted by the positive intercept of 0.045 mgP\/L. An 84 day moored field test was conducted in Chesapeake Bay from July 18 to October 10, 2016. The NOC-PO4 operated continuously for the first 8 days of the deployment sampling at hourly intervals but stopped reporting on 7\/31 when it appears to have fallen off the mooring when an attachment bolt was corroded away. A new instrument was deployed on 9\/16 and operated until the end of the deployment reporting 874 of a possible 883 accepted values for a data completion result of 99%, but this represented only 43% of the total possible record. During the second unit\u2019s operation, 9 values were flagged by the instrument as bad data. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=48 of a possible 103 observations) over the total deployment was 0.006 \u00b10.005 mgP\/L, with the total range of differences between -0.003 to 0.015 mgP\/L. There was a similar range of measurement offset during the two deployment periods; however the sharp rise in instrument values and offset during the initial 8 days may have indicated somethings was malfunctioning within the instrument, leading to the corrosion problem. A linear regression of NOC-PO4 versus reference measurements was highly significant (p<0001; r2 = 0.743), with a slope of 0.933 and intercept of 0.006. NOC-PO4 covered the range equally well, but in general over-predicted concentrations. A one month long moored field test was conducted in Kaneohe Bay from October 3, 2016 to November 2, 2016. The NOC-PO4 operated successfully for the entire 30 days of the deployment, sampling at hourly intervals returning 718 of a possible 720 measurements for a data completion result of 99.7%. The average and standard deviation of the differences between instrument and reference readings over the entire deployment (n=73 out of a possible 73) was 0.0014 \u00b1 0.0009 mgP\/L, with a total range in the differences of -0.0034 to -0.0001 mgP\/L. There was a small but statistically significant trend in the measurement difference over time (p=0.0001; r2 = 0.233) during the deployment, with a slope of -0.00004 mgP\/L\/d. A linear regression of instrument versus reference measurements was significant (p=0.014; r2 = 0.103), but with a slope of only 0.149 and intercept of 0.002. The NOC-PO4 under-predicted throughout the measurement range and was marginally responsive to concentrations above 0.004 mgP\/L. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/730", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/730", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/730", "url": "https:\/\/hdl.handle.net\/11329\/730" }, "author": [ { "@type": "Person", "name": "Johengen, T" }, { "@type": "Person", "name": "Purcell, H" }, { "@type": "Person", "name": "Tamburri, M" }, { "@type": "Person", "name": "Loewensteiner, D" }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D" }, { "@type": "Person", "name": "McManus, M" }, { "@type": "Person", "name": "Walker, G" }, { "@type": "Person", "name": "Stauffer, B" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1477", "name": "Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets.", "description": " - Assigning uncertainty to ocean-color satellite products is a requirement to allowinformed use of these data. Here, uncertainty estimates are derived using the comparison on a 12th-degree grid of coincident daily records of the remote-sensing reflectance RRS obtained with the same processing chain from three satellite missions, MERIS, MODIS and SeaWiFS. The approach is spatially resolved and produces \u03c3, the part of the RRS uncertainty budget associated with random effects. The global average of \u03c3 decreases with wavelength from approximately 0.7\u2013 0.9 10\u22123 sr\u22121 at 412 nm to 0.05\u20130.1 10\u22123 sr\u22121 at the red band, with uncertainties on \u03c3 evaluated as 20\u201330% between 412 and 555 nm, and 30\u201340% at 670 nm. The distribution of \u03c3 shows a restricted spatial variability and small variations with season, which makes the multi-annual global distribution of \u03c3 an estimate applicable to all retrievals of the considered missions. The comparison of \u03c3 with other uncertainty estimates derived from field data or with the support of algorithms provides a consistent picture. When translated in relative terms, and assuming a relatively low bias, the distribution of \u03c3 suggests that the objective of a 5% uncertainty is fulfilled between 412 and 490 nm for oligotrophic waters (chlorophyll-a concentration below 0.1 mg m\u22123). This study also provides comparison statistics. Spectrally, the mean absolute relative difference between RRS from different missions shows a characteristic U-shapewith both ends at blue and redwavelengths inversely related to the amplitude of RRS. On average and for the considered data sets, SeaWiFS RRS tend to be slightly higher thanMODIS RRS, which in turn appear higher than MERIS RRS. Biases between mission-specific RRS may exhibit a seasonal dependence, particularly in the subtropical belt. - , - Refereed - , - 14.A - , - Ocean colour - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1477", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1477", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1477", "url": "https:\/\/hdl.handle.net\/11329\/1477" }, "author": [ { "@type": "Person", "name": "M\u00e9lin, F." }, { "@type": "Person", "name": "Sclepa, G." }, { "@type": "Person", "name": "Jackson, T." }, { "@type": "Person", "name": "Sathyendranath, S." } ], "keywords": [ "Remote sensing reflectance", "Uncertainty quantification", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Instrument Type Vocabulary::radiometers", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/350", "name": "Report on the status of sensors used for measuring nutrients, biology-related optical properties, variables of the marine carbonate system, and for coastal profiling, within the JERICO network and, more generally, in the European context, D2.2. Version 1.2.", "description": " - The present deliverable gathers and reports on the outcomes of the four parts of the first JERICO-NEXT workshop on sensors for nutrients, biology-related optical properties, variables of the marine carbonate system, and for coastal profiling. It provides descriptions of such systems and the way they are run, and critically assesses their current level of development from the specific perspective of the operations carried out routinely by the JERICO observing network, and by extension, in the general European context. - , - Published - , - Refereed - , - Current - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/350", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/350", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/350", "url": "https:\/\/hdl.handle.net\/11329\/350" }, "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO-NEXT Project" } ], "keywords": [ "Sensors", "Chemical sensors", "Optical properties", "Carbonate chemistry", "Nutrient analysers", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/688", "name": "Sediments and suspended particulate matter: Total and partial methods of digestion.", "description": " - In order to determine the major and trace metal concentrations of marine sediments and suspended particulate matter by wet chemical methods, it is necessary to dissolve all or part of the sample. Sample digestion methods commonly used are: (a) total decomposition, (b) strong acid digestion, or (c) moderate or weak acid extractions. This leaflet describes in detail the wet chemical methods for both total decomposition and weak acid extraction of sediments and suspended particulate matter. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/688", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/688", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/688", "url": "https:\/\/hdl.handle.net\/11329\/688" }, "author": [ { "@type": "Person", "name": "Loring, D. H." }, { "@type": "Person", "name": "Rantala, R.T.T." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2286", "name": "Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and its Application to the Mesopelagic Sound Scattering Layer of the High Arctic.", "description": " - Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations. Marine faunal biodiversity is often quantified based on analysis of samples collected using a trawl during research surveys. To monitor spatial and temporal changes in biodiversity between surveys, samples are generally collected from a series of stations. Inference regarding changes in biodiversity must account for uncertainties in the estimation of the values for the different biodiversity indices used. Estimation for a single station is affected by spatial-temporal variation in the species composition in the area and by uncertainty due to the finite sample size taken by the trawl. Therefore, variation between stations needs to be accounted for when estimating uncertainty for values of different indices during a survey as total or as mean for the survey. Herein, we present a method based on nested bootstrapping that accounts for uncertainties in the estimation of various indices and which can be used to infer changes in biodiversity. Application of this methodology is demonstrated using data collected in the mesopelagic sound scattering layer in the high Arctic. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2286", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2286", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2286", "url": "https:\/\/hdl.handle.net\/11329\/2286" }, "author": [ { "@type": "Person", "name": "Herrmann, Bent" }, { "@type": "Person", "name": "Cerbule, Kristine" }, { "@type": "Person", "name": "Br\u010di\u0107, Jure" }, { "@type": "Person", "name": "Grimaldo, Eduardo" }, { "@type": "Person", "name": "Geoffroy, Maxime" }, { "@type": "Person", "name": "Daase, Malin" }, { "@type": "Person", "name": "Berge, Jorgen" } ], "keywords": [ "Sound scattering layer", "Biodiversity indices", "Mesopelagic", "Species richness", "Biota abundance, biomass and diversity", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/593", "name": "Computer applications to the tides in the National Ocean Survey: supplement to Manual of harmonic analysis and prediction of tides (Special Publication 98)", "description": " - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/593", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/593", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/593", "url": "https:\/\/hdl.handle.net\/11329\/593" }, "author": [ { "@type": "Person", "name": "Zetler, Bernard D," } ], "contributor": [ { "@type": "Organization", "name": "NOAA, National Ocean Survey" } ], "keywords": [ "Tidal prediction", "Tidal analysis", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/960", "name": "Mapping with confidence; delineating seagrass habitats using Unoccupied Aerial Systems (UAS).", "description": " - There is growing interest in the use of Unoccupied Aerial Systems (UAS) for mapping and monitoring of seagrass habitats. UAS provide flexibility with timing of imagery capture, are relatively inexpensive, and obtain very high spatial resolution imagery compared to imagery acquired from sensors mounted on satellite or piloted aircraft. However, research to date has focused on UAS applications for exposed intertidal areas or clear tropical waters. In contrast, submerged seagrass meadows in temperate regions are subject to high cloud cover and water column turbidity, which may limit the application of UAS imagery for coastal habitat mapping. To test the constraints on UAS seagrass mapping, we examined the effects of five environmental conditions at the time of UAS image acquisition (sun angle, tidal height, cloud cover, Secchi depth and wind speed) and five site characteristics (eelgrass patchiness and density, presence and density of non\u2010eelgrass submerged aquatic vegetation, sediment tone, eelgrass deep edge and site exposure) at 26 eelgrass (Zostera marina) monitoring sites in British Columbia, Canada. Eelgrass was delineated in UAS orthomosaics using object\u2010based image analysis, combining image segmentation with manual classification. Each site was ranked according to the analysts\u2019 confidence in the delineated eelgrass. Robust Linear Regression revealed sun angle and \u2018theoretical visibility\u2019 (an aggregate of tidal height, Secchi depth, and eelgrass deep edge conditions) to be the most important variables affecting mapping confidence. In general, ideal environmental conditions to obtain high confidence eelgrass mapping included: (1) sun angles below 40\u00b0; (2) positive theoretical visibility with Secchi depths >5 m; (3) cloud cover conditions of <10% or >90%; and (4) wind speeds less than 5 km h\u22121. Additionally, high mapping confidence was achieved for sites with dense, continuous, and homogeneous eelgrass meadows. The results of this analysis will guide implementation of UAS mapping technologies in coastal temperate regions. - , - Refereed - , - 14.2 - , - Seagrass Cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/960", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/960", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/960", "url": "https:\/\/hdl.handle.net\/11329\/960" }, "author": [ { "@type": "Person", "name": "Nahirnick, Natasha K." }, { "@type": "Person", "name": "Reshitnyk, Luba" }, { "@type": "Person", "name": "Campbell, Marcus" }, { "@type": "Person", "name": "Hessing\u2010Lewis, Margot" }, { "@type": "Person", "name": "Costa, Maycira" }, { "@type": "Person", "name": "Yakimishyn, Jennifer" }, { "@type": "Person", "name": "Lee, Lynn" } ], "keywords": [ "Drone", "Marine habitat mapping", "Nearshore", "Unoccupied Aerial Systems (UAS)", "Seagrass", "Zostera marina", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Unmanned Aerial Vehicle (UAV)", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1562", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: April 2012 to August, 2013. Version 3.0.", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from April, 2012 to August, 2013). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Current - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1562", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1562", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1562", "url": "https:\/\/hdl.handle.net\/11329\/1562" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/275.2", "name": "Guidelines for an Ocean Project or Programme Data Management Plan.", "description": " - This document emphasizes the importance of data management planning in activities which collect, create or otherwise acquire ocean data, ensuring data are preserved and accessible for analysis and to inform and underpin evidence and decision making. A Data Management Plan is a document outlining how to handle data throughout its lifecycle, ensuring proper collection, documentation, accessibility, and preservation. Key topics to be considered in a Data Management Plan include data collection and categorization, storage and processing, analysis, publication and access, archival, reuse, and erasure. Additional benefits of a Data Management Plan include improving data maturity and literacy, effective storage and archival, efficient project or programme delivery and improved compliance with data sharing, contractual and licensing arrangements. A detailed Data Management Plan Template is provided, covering the entire data lifecycle and guiding consideration of any ethical and legal issues around the data which may arise at any or all stages of the data lifecycle. Each section contains multiple subsections with specific questions to guide the development of a comprehensive Data Management Plan. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/275.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/275.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/275.2", "url": "https:\/\/hdl.handle.net\/11329\/275.2" }, "author": [ { "@type": "Person", "name": "Leadbetter, A." }, { "@type": "Person", "name": "Ariasis, F." }, { "@type": "Person", "name": "Buttigieg, P. L." }, { "@type": "Person", "name": "Giorgetti, A." }, { "@type": "Person", "name": "Hanley, L." }, { "@type": "Person", "name": "Hebden, M." }, { "@type": "Person", "name": "Ivona, A." }, { "@type": "Person", "name": "Lear, D." }, { "@type": "Person", "name": "Lopez, M." }, { "@type": "Person", "name": "Moulton, C." }, { "@type": "Person", "name": "Tyberghein, L." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data Mangement Plan (DMP)", "Cross-discipline", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2094", "name": "A practical guide to DNA-based methods for biodiversity assessment.", "description": " - This book represents a synthesis of knowledge and best practice in the field of DNA-based biomonitoring at the time of writing. It has been written with end-users of molecular tools in mind, as well as those who are new to the field in research settings and are looking to gain an overall grounding in the subject area. For each of the main types of sample (water, soil \/ sediment, bulk invertebrates and diatoms), and for each stage of the field and laboratory processes, we outline key considerations, decisions that need to be made, factors that might influence those decisions, and trade-offs inherent in the choices made. We hope that this will help users, practitioners, and those commissioning DNA-based monitoring programmes to navigate this large field and critically evaluate the strengths and weaknesses of different analysis workflows based on context, project aims and available resources. DNA-based methods for species detection and identification have revolutionised our ability to assess biodiversity in terrestrial, freshwater and marine ecosystems. Starting from the seminal study that used eDNA to detect invasive american bullfrogs in France (Ficetola et al. 2008), research conducted over the last decade has demonstrated the power of these approaches for surveying a wide range of species and groups. Early applications included the use of eDNA to monitor Asian Carp in the USA (Jerde et al. 2013). Following heavy scrutiny, the method was eventually adopted, and is still employed today by the United States Geological Survey (USGS). A flurry of research followed, with tests designed for many threatened and invasive species including New zealand mudsnails (Goldberg et al. 2013), american crayfish (Geerts et al. 2018), gammarids (Blackman et al. 2017), and great crested newts (Biggs et al. 2015). The great crested newt eDNA test has been employed for regulatory monitoring in the UK since 2014. During the same time period, there was a proliferation of research studies that used high-throughput sequencing approaches to describe whole communities of organisms from mixed species and environmental samples, using an approach termed DNA metabarcoding (Taberlet et al. 2012c). As the field developed fast and the approaches were applied to a wide range of research and monitoring objectives, a high level of methodological variation was introduced at all stages of the workflow (Seymour 2019). Thus, while a significant level of consensus on scientific best-practice now exists in many areas, this may not be readily discerned from the now-extensive body of research literature. As environmental practitioners and policy makers are now increasingly starting to integrate DNAbased methods into routine monitoring applications including protected species licensing1, statutory monitoring2 (H\u00e4nfling et al. 2016) and environmental impact assessment3, various national and international efforts have been undertaken to standardise methods and integrate them into monitoring frameworks (Pilliod et al. 2019, Loeza-Quintana et al. 2020, Minamoto et al. 2021, Pawlowski et al. 2020a4). In Europe, the EU COST Action DNAqua-Net (Leese et al. 2018) has been working towards incorporating molecular monitoring tools for Biological Quality Elements (BQEs, e.g., fish, macroinvertebrates and phytoplankton- benthos) into the Water Framework Directive (WFD, 2000\/60\/EC)5 and the Marine Strategy Framework Directive (MSFD, 2008\/56\/EC)6. Thus, emphasis now shifts from fundamental research to robust and efficient application of DNAbased methods for operational use at large scales. This requires that scientific robustness is balanced with consideration of the practical realities faced by environmental managers. Moreover, there is increased need for strong quality assurance in a setting where non-expert field samplers and commercial laboratories are involved with the generation of data that non-specialist decision-makers then rely on to inform potentially costly action (or non-action). This places increased emphasis on robustness, replicability, traceability and ease-of-use, which may not always be the central focus of studies carried out in the academic research environment. This document aims to summarise the scientific consensus relating to every step of the field and laboratory workflows involved in the most common types of samples and analyses. We do not go into great detail regarding bioinformatics (computational processing of sequence data) and data analysis since these are extensive topics in their own right. We uniquely set the field and lab steps in the context of the practical and logistical constraints faced by environmental managers in terms of cost, logistics, safety, ease-of-use, and quality assurance, highlighting key decisions to be made and the inherent trade-offs associated with the various options. We hope that this will support non-experts, and those new to the field, to navigate the key considerations associated with planning or evaluating monitoring programmes using DNA-based monitoring methods. Additionally, it will aid decision-makers in writing and evaluating tenders and proposals, ensuring that the methods used for a given project are fit-for-purpose and that results are correctly interpreted. Alongside the many areas of emerging consensus, there remain some areas where further research is still required to balance scientific best-practice with the constraints and priorities of end-users. We hope that by shining a light on the importance of these issues, the research community will be encouraged to address them. More generally, we hope to inspire researchers in this now highly-applied scientific field to consider end-user constraints when designing and implementing research projects. This will help to accelerate uptake by users and maximise the impact of research. DNA-based bioassessment methods continue to evolve, and there are several emerging technologies that show exciting promise to move beyond even what is possible today. Examples include in-field sequencing using the MinION device from Oxford Nanopore Technologies (Pomerantz et al. 2018, Davidov et al. 2020, Hatfield et al. 2020), PCR-free metagenomic approaches (Bista et al. 2018, Giebner et al. 2020) and CRISPR for rapid detection of species, which is particularly relevant for invasive an non-native species monitoring (Williams et al. 2019, 2020). We recognise the potential of these methods, but do not consider them in detail here, since they are not yet far enough developed for routine application. - , - EU COST Action DNAqua-Net (CA 15219 a COST (European Cooperation in Science and Technology). DNAqua-Net, European Union Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Genetic differentiation - , - Species distributions - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2094", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2094", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2094", "url": "https:\/\/hdl.handle.net\/11329\/2094" }, "author": [ { "@type": "Person", "name": "Bruce, Kat" }, { "@type": "Person", "name": "Blackman, Rosetta C." }, { "@type": "Person", "name": "Bourlat, Sarah J." }, { "@type": "Person", "name": "Hellstr\u00f6m, Micaela" }, { "@type": "Person", "name": "Bakker, Judith" }, { "@type": "Person", "name": "Bista, Iliana" }, { "@type": "Person", "name": "Bohmann, Kristine" }, { "@type": "Person", "name": "Bouchez, Agn\u00e8s" }, { "@type": "Person", "name": "Brys, Rein" }, { "@type": "Person", "name": "Clark, Katie" }, { "@type": "Person", "name": "Elbrecht, Vasco" }, { "@type": "Person", "name": "Fazi, Stefano" }, { "@type": "Person", "name": "Fonseca, Vera G." }, { "@type": "Person", "name": "H\u00e4nfling, Bernd" }, { "@type": "Person", "name": "Leese, Florian" }, { "@type": "Person", "name": "M\u00e4chler, Elvira" }, { "@type": "Person", "name": "Mahon, Andrew R." }, { "@type": "Person", "name": "Meissner, Kristian" }, { "@type": "Person", "name": "Panksep, Kristel" }, { "@type": "Person", "name": "Pawlowski, Jan" }, { "@type": "Person", "name": "Schmidt Y\u00e1\u00f1ez, Paul Luis" }, { "@type": "Person", "name": "Seymour, Mathew" }, { "@type": "Person", "name": "Thalinger, Bettina" }, { "@type": "Person", "name": "Valentini, Alice" }, { "@type": "Person", "name": "Woodcock, Paul" }, { "@type": "Person", "name": "Traugott, Michael" }, { "@type": "Person", "name": "Vasselon, Valentin" }, { "@type": "Person", "name": "Deiner, Kristy" } ], "contributor": [ { "@type": "Organization", "name": "Pensoft Advanced Books" } ], "keywords": [ "Species identification", "Biodiversity", "DNA based methods", "Biota composition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1971", "name": "Data interoperability: A practitioner's guide to joining up data in the development sector.", "description": " - The Guide is structured around five areas that the Collaborative has collectively identified as being integral to the development of more interoperable data systems at scale over time: 1. Interoperability, data management, and governance; 2. Canonical data and metadata models; 3. Classifications and vocabularies; 4. Standardized interfaces; and 5. Linked data. The five areas covered by the Guide address some of the key dimensions needed to scale interoperability solutions to macroscopic and systemic levels. The Guide has been developed as a practical tool to help improve the integration and reusability of data and data systems. New sections, examples and guidance will be added to the Guide over time to ensure its continued relevance and usefulness in this fast-evolving space. Not all chapters will be relevant to all audience groups. We envisage that the introduction and first chapter will be most relevant to those engaged in policy, management and planning work; with the remaining four chapters being most relevant to technical specialists and statisticians across stakeholder groups who are looking for specific guidance on how to improve the interoperability of their information systems. The Guide aims for clarity and accessibility while simultaneously exploring technically complex issues. This is a difficult balance to strike but one that we have striven to maintain throughout, in some areas probably more successfully than others. It is our hope that this corpus of knowledge and examples will grow in time as the Guide matures from this first edition. Each chapter concludes with sections entitled \u2018Building a Roadmap\u2019 and \u2018Further Reading\u2019. These are key components of the Guide\u2019s practical application. Collectively, the Roadmap components set out an assessment framework that data managers in development organizations and government Ministries Departments and Agencies (MDAs) can use to assess the degree to which their systems are interoperable or not and where further action is required (see Annex A for further information). As with the Guide in general, it is hoped that this assessment tool will be developed further in the coming years and applied by organizations and institutions across stakeholder groups (drawing lessons from, and building on, sectoral initiatives such as the Health Data Collaborative\u2019s Health Information Systems Interoperability Maturity Toolkit1). The Collaborative on SDG Data Interoperability will continue to build and maintain the Guide as it develops as a tool. Focus will shift to the development of additional modules and examples for the Guide as well as the production of ancillary materials to help raise awareness of its existence and usability. It is hoped that new synergies will form between data producers, publishers, users, and those providing capacity building and training. In this way, the guidance set out within the Guide can be incorporated into existing training materials and modules, and a consistent approach to the system-wide improvement of data interoperability can start to become a reality in the development sector. To find out more about the Collaborative on SDG Data Interoperability and how to contribute to the next iteration of this Guide, please contact info@data4sdgs.org. - , - Published - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1971", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1971", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1971", "url": "https:\/\/hdl.handle.net\/11329\/1971" }, "author": [ { "@type": "Person", "name": "Gonz\u00e1lez Morales, Luis Gerardo" }, { "@type": "Person", "name": "Orrell, Tom" } ], "contributor": [ { "@type": "Organization", "name": "United Natons Statistics Dvision" } ], "keywords": [ "Linked data", "Data interoperability", "Cross-discipline", "Controlled vocabulary development", "Metadata management", "Data format development", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/807", "name": "Appendix 2. Rapid screening methods for Harmful Algal Blooms toxins.", "description": " - At the core of all national harmful algal bloom (HAB) programs are the monitoring programs needed to detect HAB toxins in shellfish, fish, water, or other resources sufficiently early to take management actions (Anderson et al. 2001). These programs measure toxins produced by multiple species of algae, with the methods used varying dramatically in scope and complexity due to the types of toxins that need to be detected, the nature of the affected resource, and regulatory requirements. Some of the methods developed for analysis of shellfish tissues and algal blooms can be of direct use in desalination plants for analysis of toxins in water \u2013 both the raw, untreated water before desalination, and the treated, fresh water. A major concern, however, are the detection limits of the assays. All analytical methods have limits of detection (LODs) and the choice of a method should be consistent with potential bloom concentrations and possible toxin levels. With desalination plants, toxins need to be measured at exceedingly low levels in water, whereas shellfish concentrate toxins to much higher levels. A recent study summarized the epidemiological data for four common algal toxins (Laycock et al. 2010) and estimated the potential contamination of water that might enter a desalination plant during major blooms. The assessment was based on a hypothetical (and dense) bloom of toxic algae consisting of 10 7 cells\/L with a toxin cell quota of 40 pg toxin\/cell. If all of that toxin were released from the cells into the water, that would give a concentration in seawater of 400 \u03bcg\/L. An alternative approach to estimating the total amount of toxin present in a bloom is given in Chapter 1 (Table 1.4), where the amounts of toxin contained in hypothetical blooms of various common HAB species are presented. The values range from a few hundred to 1,000 \u03bcg\/L. Given that 99% or more of a toxin is likely to be removed by thermal or reverse osmosis desalination (Chapter 10), the sensitivity of an analytical method must therefore be at least 0.1 \u2013 1.0 \u03bcg\/L or 0.1 \u2013 1.0 ng\/mL. Therefore, analysis of water samples for dissolved or particulate toxins (i.e., inside algal cells) will require high sensitivity methods, such as enzyme-linked immunosorbent assays (ELISAs). For example, the LOD for saxitoxin (STX) using the Abraxis STX ELISA kit is 0.02 ng\/mL and there is similar sensitivity for domoic acid. This appendix presents details on simple screening methods for HAB toxins. More complex analytical methods are described or cited in Chapter 2. The screening methods are presented here as a guide to desalination plant staff who wish to conduct on-site analyses. These analyses could be of raw intake water, treated water, or algal cell extracts from monitoring programs (Chapter 3). The example assays are restricted to four HAB toxins i.e., saxitoxins, domoic acid, microcystins\/nodularins, and anatoxin-a. Although sample preparation procedures may differ for the other HAB toxins not include here, the commercial ELISA kit protocols are similar to each other. Sample preparation procedures, however, vary depending on solubility of the toxins, source (e.g., phytoplankton, shellfish, or cyanobacteria) and method of analysis. Sample preparation methods will be described in detail, as will procedures used to obtain samples. Methods of analysis other than ELISA are also presented. Lateral flow tests (such as the Scotia tests) are described as simpler alternatives to the ELISA kits. The advantages and disadvantages of both tests will be discussed. - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/807", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/807", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/807", "url": "https:\/\/hdl.handle.net\/11329\/807" }, "author": [ { "@type": "Person", "name": "Anderson, Donald M." }, { "@type": "Person", "name": "Laycock, Maurice" }, { "@type": "Person", "name": "Rubio, Fernando" } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Pollution monitoring", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/109", "name": "Algorithms for the computation of fundamental properties of seawater.", "description": " - algorithms; sea water; data processing; standardization - , - This report lists algorithms for the computation of fundamental properties of seawater for implementing and standardizing computer programs for oceanographic data processing. The algorithms cover the following: conductivity to salinity conversion; freezing point temperature of seawater; specific heat of seawater; adiabatic lapse rate; potential temperature; sound speed in seawater. - , - http:\/\/unesdoc.unesco.org\/images\/0005\/000598\/059832eb.pdf - , - in the process of being updated by IOC or UNESCO - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/109", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/109", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/109", "url": "https:\/\/hdl.handle.net\/11329\/109" }, "author": [ { "@type": "Person", "name": "Fofonoff, N.P." }, { "@type": "Person", "name": "Millard Jr, R.C." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Algorithm Seawater UNESCO" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1107", "name": "Web Coverage Processing Service (WCPS) Language Interface Standard. Version 1.0.0.", "description": " - The OGC\u00ae Web Coverage Processing Service (WCPS) defines a protocol-independent language for the extraction, processing, and analysis of multi-dimensional coverages representing sensor, image, or statistics data. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1107", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1107", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1107", "url": "https:\/\/hdl.handle.net\/11329\/1107" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Interface Standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2171", "name": "Inuit Food Insecurity as a Consequence of Fragmented Marine Resource Management Policies? Emerging Lessons from Nunatsiavut.", "description": " - Historically, Inuit communities of the Arctic have relied significantly on the living marine resources of their coastal waters for nutrition, underpinning community cohesion and enhancing individual and collective well-being. Inadequate understanding of the conditions of coastal marine stocks and their dynamics, along with failed past fisheries management practices, now threatens secure access to these resources for food and nutrition. We examine the degree of integration of modern Canadian federal food and marine resource management policies, which heretofore have been unable to lessen food insecurity in the Arctic, suggesting that causes rather than symptoms need to be treated. Using evidence from Nunatsiavut, northern Labrador, we assess the limits to marine resource governance affecting access to traditionally important food sources. We explore the potential for both increased subsistence harvests and enhanced access to commercial fisheries in mitigating Inuit food insecurity, arguing for the relevance of expanded marine resource assessments, more focused fisheries management, and integration with policies designed to mitigate food insecurity. Crucially, the absence of methods for tracking changes in locally harvested marine resources threatens not only individual and household nutrition but also the social, economic, and cultural integrity of Inuit communities. We further describe the needs for monitoring and propose the use of indicators that capture the contributions of locally harvested marine resources to increased food security along with a framework that allows for utilizing local knowledge and observations. Relying on emerging lessons from research in Nunatsiavut, we build a foundation for a better understanding of both the political and institutional legacies that contribute to Labrador Inuit food insecurity and discuss how the deeper integration of food and marine resource management policies could help mitigate it. - , - Refereed - , - 2 - , - 14.4.1 - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2171", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2171", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2171", "url": "https:\/\/hdl.handle.net\/11329\/2171" }, "author": [ { "@type": "Person", "name": "Kourantidou, Melina" }, { "@type": "Person", "name": "Hoagland, Porter" }, { "@type": "Person", "name": "Bailey, Megan" } ], "keywords": [ "Food insecurity", "Food sovereignty", "Traditional ecological knowledge", "Marine resource management", "Indigenous knowledge", "Human activity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2589", "name": "Promoting best practices in ocean forecasting through an Operational Readiness Level.", "description": " - Predicting the ocean state in a reliable and interoperable way, while ensuring high-quality products, requires forecasting systems that synergistically combine science-based methodologies with advanced technologies for timely, useroriented solutions. Achieving this objective necessitates the adoption of best practices when implementing ocean forecasting services, resulting in the proper design of system components and the capacity to evolve through different levels of complexity. The vision of OceanPrediction Decade Collaborative Center, endorsed by the UN Decade of Ocean Science for Sustainable Development 2021-2030, is to support this challenge by developing a \u201cpredicted ocean based on a shared and coordinated global effort\u201d and by working within a collaborative framework that encompasses worldwide expertise in ocean science and technology. To measure the capacity of ocean forecasting systems, the OceanPrediction Decade Collaborative Center proposes a novel approach based on the definition of an Operational Readiness Level (ORL). This approach is designed to guide and promote the adoption of best practices by qualifying and quantifying the overall operational status. Considering three identified operational categories - production, validation, and data dissemination - the proposed ORL is computed through a cumulative scoring system. This method is determined by fulfilling specific criteria, starting from a given base level and progressively advancing to higher levels. The goal of ORL and the computed scores per operational category is to support ocean forecasters in using and producing ocean data, information, and knowledge. This is achieved through systems that attain progressively higher levels of readiness, accessibility, and interoperability by adopting best practices that will be linked to the future design of standards and tools. This paper discusses examples of the application of this methodology, concluding on the advantages of its adoption as a reference tool to encourage and endorse services in joining common frameworks. - , - Refereed - , - 14.a - , - Concept - , - 2024-11-18 - , - Novel (no adoption outside originators) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2589", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2589", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2589", "url": "https:\/\/hdl.handle.net\/11329\/2589" }, "author": [ { "@type": "Person", "name": "Alvarez Fanjul, E." }, { "@type": "Person", "name": "Ciliberti, S." }, { "@type": "Person", "name": "Pearlman, J." }, { "@type": "Person", "name": "Wilmer-Becker, K." }, { "@type": "Person", "name": "Bahurel, P." }, { "@type": "Person", "name": "Ardhuin, F." }, { "@type": "Person", "name": "Arnaud, A." }, { "@type": "Person", "name": "Azizzadenesheli, K." }, { "@type": "Person", "name": "Aznar, R." }, { "@type": "Person", "name": "Bell, M." }, { "@type": "Person", "name": "Bertino, L." }, { "@type": "Person", "name": "Behera, S." }, { "@type": "Person", "name": "Brassington, G." }, { "@type": "Person", "name": "Calewaert, J. B." }, { "@type": "Person", "name": "Capet, A." }, { "@type": "Person", "name": "Chassignet, E." }, { "@type": "Person", "name": "Ciavatta, S." }, { "@type": "Person", "name": "Cirano, M." }, { "@type": "Person", "name": "Clementi, E." }, { "@type": "Person", "name": "Cornacchia, L." }, { "@type": "Person", "name": "Cossarini, G." }, { "@type": "Person", "name": "Coro, G." }, { "@type": "Person", "name": "Corney, S." }, { "@type": "Person", "name": "Davidson, F." }, { "@type": "Person", "name": "Drevillon, M." }, { "@type": "Person", "name": "Drillet, Y." }, { "@type": "Person", "name": "Dussurget, R." }, { "@type": "Person", "name": "El Serafy, G." }, { "@type": "Person", "name": "Fearon, G." }, { "@type": "Person", "name": "Fennel, K." }, { "@type": "Person", "name": "Ford, D." }, { "@type": "Person", "name": "Le Galloudec, O." }, { "@type": "Person", "name": "Huang, X." }, { "@type": "Person", "name": "Lellouche, J. M." }, { "@type": "Person", "name": "Heimbach, P." }, { "@type": "Person", "name": "Hernandez, F." }, { "@type": "Person", "name": "Hogan, P." }, { "@type": "Person", "name": "Hoteit, I." }, { "@type": "Person", "name": "Joseph, S." }, { "@type": "Person", "name": "Josey, S." }, { "@type": "Person", "name": "Le Traon, P. -Y." }, { "@type": "Person", "name": "Libralato, S." }, { "@type": "Person", "name": "Mancin, M." }, { "@type": "Person", "name": "Martin, M." }, { "@type": "Person", "name": "Matte, P." }, { "@type": "Person", "name": "McConnell, T." }, { "@type": "Person", "name": "Melet, A." }, { "@type": "Person", "name": "Miyazawa, Y." }, { "@type": "Person", "name": "Moore, A. M." }, { "@type": "Person", "name": "Novellino, A." }, { "@type": "Person", "name": "O\u2019Donncha, F." }, { "@type": "Person", "name": "Porter, A." }, { "@type": "Person", "name": "Qiao, F." }, { "@type": "Person", "name": "Regan, H." }, { "@type": "Person", "name": "Robert-Jones, J." }, { "@type": "Person", "name": "Sanikommu, S." }, { "@type": "Person", "name": "Schiller, A." }, { "@type": "Person", "name": "Siddorn, J." }, { "@type": "Person", "name": "Sotillo, M. G." }, { "@type": "Person", "name": "Staneva, J." }, { "@type": "Person", "name": "Thomas-Courcoux, C." }, { "@type": "Person", "name": "Thupaki, P." }, { "@type": "Person", "name": "Tonani, M." }, { "@type": "Person", "name": "Garcia Valdecasas, J. M." }, { "@type": "Person", "name": "Veitch, J." }, { "@type": "Person", "name": "von Schuckmann, K." }, { "@type": "Person", "name": "Wan, L." }, { "@type": "Person", "name": "Wilkin, J." }, { "@type": "Person", "name": "Zhong, A." }, { "@type": "Person", "name": "Zufic, R." } ], "keywords": [ "Operational oceanography,", "Ocean predictions", "Best practices", "Standards", "Data sharing", "Interoperability", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1373", "name": "Methods for testing marine multi-parameter water-quality monitoring instruments.", "description": " - This standard specifies the technical requirements of marine multi-parameter water-quality monitoring instruments (hereinafter referred to as \u201cwater-quality monitoring instrument\u201d), and the test items, test equipment and test methods of water-quality monitoring instruments. This standard is applicable to the testing of the water-quality monitoring instrument and its matching sensors. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1373", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1373", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1373", "url": "https:\/\/hdl.handle.net\/11329\/1373" }, "author": [ { "@type": "Person", "name": "Pang, Yongchao" }, { "@type": "Person", "name": "Wang, Aijun" }, { "@type": "Person", "name": "Wang, Cong" }, { "@type": "Person", "name": "Shi, Chaoying" }, { "@type": "Person", "name": "Zhang, Chuan" }, { "@type": "Person", "name": "Li, Tielong" } ], "contributor": [ { "@type": "Organization", "name": "State Oceanic Administration" } ], "keywords": [ "Water quality", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1423", "name": "GOOS Best Practice Endorsement Process.", "description": " - The Global Ocean Observing System (GOOS) best practice \u2018endorsement\u2019 process has been developed in cooperation with the Ocean Best Practices System (OBPS), an Intergovernmental Oceanographic Commission (IOC joint IODE\/GOOS) Project which aims to support the ocean community in developing and sharing best practices. The endorsement process was approved by the GOOS Steering Committee 1st October 2020. - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1423", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1423", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1423", "url": "https:\/\/hdl.handle.net\/11329\/1423" }, "contributor": [ { "@type": "Organization", "name": "Global Ocean Observing System" } ], "keywords": [ "Ocean Best Practices System", "Best practices", "Global Ocean Observing System (GOOS)", "Endorsement", "Certification", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2370", "name": "A toolbox for secondary quality control on ocean chemistry and hydrographic data.", "description": " - High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can\u2014hopefully\u2014be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region. The toolbox, and reference data, can be downloaded from the Carbon Dioxide Information Analysis Center (CDIAC): http:\/\/ cdiac.ornl.gov\/ftp\/oceans\/2nd_QC_Tool_V2\/. - , - Refereed - , - 14.a - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2370", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2370", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2370", "url": "https:\/\/hdl.handle.net\/11329\/2370" }, "author": [ { "@type": "Person", "name": "Lauvset, Siv K." }, { "@type": "Person", "name": "Tanhua, Toste" } ], "keywords": [ "Certified reference materials (CRM)", "MatLab toolbox", "Chemical oceanography", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2241", "name": "Compendium: Coastal Management Practices on West Africa. Existing and potential solutions to control coastal erosion, prevent flooding and mitigate damage to society.", "description": " - Erosion and flooding are the most visible consequences of coastal zone degradation in West Africa. Man-made and natural processes, aggravated by the effects of climate change, cause erosion and flooding. These threatened densely populated coasts, the nerve center of the region\u2019s demographic and economic growth. Every year, coastal degradation takes a heavy toll on human life and socio-economic prosperity. Moreover, the Intergovernmental Panel on Climate Change (IPCC) projections suggest that coastal erosion and flooding in West Africa is set to increase in the 21st century. Understanding the hazards and managing the coastline sustainably is a major challenge for the development of the region. The West Africa Coastal Areas Management Program (WACA) supports ongoing efforts led by countries and regional institutions to strengthen the resilience of communities and ecosystems. This is achieved by providing financing, facilitating access to knowledge and deepening dialogue around development challenges. The main objective of the Compendium: Coastal Management Practices in West Africa is to make knowledge on coastal management practices available to practitioners and decision-makers engaged in building coastal resilience in West Africa. At the same time, it informs any stakeholder concerned by risks related to coastal erosion and flooding. It complements technical catalogs on vulnerability to erosion, flood risks and flood protection infrastructure in West Africa. - , - World Bank West Africa (WACA) - , - Published - , - Refereed - , - FRENCH: Le Compendium des pratiques de gestion des zones c\u00f4ti\u00e8res en Afrique de l\u2019Ouest passe en revue les mesures actuelles et envisageables, permettant de lutter contre l\u2019\u00e9rosion c\u00f4ti\u00e8re, pr\u00e9venir les inondations par submersions marines et att\u00e9nuer leurs impacts sur la soci\u00e9t\u00e9. Le Compendium propose un examen critique des diff\u00e9rentes options de gestion des risques, en se basant sur une analyse de la litt\u00e9rature scientifique publi\u00e9e \u00e0 ce jour sur l\u2019\u00e9rosion c\u00f4ti\u00e8re et les risques d\u2019inondation en Afrique de l\u2019Ouest. Ce r\u00e9sum\u00e9 pr\u00e9sente les principaux constats du rapport, en donnant des indications pour la mise en oeuvre de mesures de gestion des risques dans le cadre d\u2019une approche globale de gestion int\u00e9gr\u00e9e des zones c\u00f4ti\u00e8res (GIZC), et en formulant des recommandations en quatre points cl\u00e9s pour une bonne gestion des risques c\u00f4tiers. Il pr\u00e9sente \u00e9galement, sous forme synth\u00e9tique, les principales solutions appliqu\u00e9es en Afrique de l\u2019Ouest pour la gestion des zones c\u00f4ti\u00e8res. Cette synth\u00e8se s\u2019adresse en priorit\u00e9 aux d\u00e9cideurs et aux responsables politiques, mais elle interpelle \u00e9galement l\u2019ensemble des acteurs concern\u00e9s directement ou indirectement par les risques li\u00e9s \u00e0 l\u2019\u00e9rosion c\u00f4ti\u00e8re et aux inondations, en l\u2019occurrence les fonctionnaires \u00e0 tous les niveaux administratifs, le secteur priv\u00e9, les organisations non gouvernementales, les acteurs locaux et la soci\u00e9t\u00e9 civile. 5 - , - Current - , - 14.5 - , - Mature - , - Multi-organisational - , - National - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2241", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2241", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2241", "url": "https:\/\/hdl.handle.net\/11329\/2241" }, "author": [ { "@type": "Person", "name": "Rodrigues, Bruna Alves" }, { "@type": "Person", "name": "Bapentire Angnuureng, Donatus" }, { "@type": "Person", "name": "Almar, Rafael" }, { "@type": "Person", "name": "Louarn, Aubr\u00e9e" }, { "@type": "Person", "name": "Rossi, Pier Luigi" }, { "@type": "Person", "name": "Corsini, Laurent" }, { "@type": "Person", "name": "Morand, Pierre" } ], "contributor": [ { "@type": "Organization", "name": "World Bank" } ], "keywords": [ "Disaster risk reduction", "Climate change effects", "Natural disasters", "Flooding", "Coastal zone management", "Coastal defences", "Construction and structures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2065", "name": "Spatial data infrastructures \"The Marine Dimension\": Guidance for Hydrographic Offices. Second Edition Version 2.0.0.", "description": " - The purpose of this document is to explain the way that a Hydrographic Office (HO) should promote, support, and participate in Spatial Data Infrastructures (SDIs). It is not definitive in its nature, preferring instead to provide guidance on how best to achieve this through practical advice, simple step by step processes, useful links to reference material and examples of best practice. We now have a growing body of knowledge and information available to the HO community that provides guidelines rather than advice to enable us to better understand and appreciate the value and benefit of SDI. Rather than repeat this general information at length, the relevant literature reviews are provided at Annex A of this document. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2065", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2065", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2065", "url": "https:\/\/hdl.handle.net\/11329\/2065" }, "contributor": [ { "@type": "Organization", "name": "International Hydrographic Organization" } ], "keywords": [ "Marine Spatial Data Infrastructure (MSDI)", "Physical oceanography", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/683", "name": "Lysosomal membrane stability in mussels.", "description": " - In 2012, the ICES Study Group on Integrated Monitoring of Chemicals and their Effects provided a framework for integrated monitoring to the OSLO-Paris Commission. UNEP\/MAP and HELCOM expert groups have also developed guidelines on integrated monitoring of chemicals and their effects for the Mediterranean and Baltic Sea. This document provides the technical information for one of the biological effects measurements, the lysosomal membrane stability (LMS), which is a part of the above mentioned integrated monitoring approaches. Lysosomes are cytoplasmic, single membrane organelles whose condition is sensitive to stress whether it be due to environmental conditions or exposure to a wide array of contaminants. Two different methodologies have been developed to assess LMS in mussels: an enzyme cytochem- ical method using cryostatic sections of digestive gland tissue, and an in vivo cyto- chemical method (using haemolymph cells). In this document, different aspects of the operational procedures have been standardized and harmonized, with particular reference to the in vivo cytochemical method. New graphical material has been added to clarify criteria of interpretation and new external quality assurance programmes for measurements of lysosomal membrane stability have been proposed. Background (BAC) and environmental (EAC) assessment criteria to assess the LMS data are pro- vided. Additionally, a new scoring procedure to enhance the sensitivity of the LMS measurements using the in vivo assay is provided. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/683", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/683", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/683", "url": "https:\/\/hdl.handle.net\/11329\/683" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/774", "name": "Protocols for the Performance Verification of In Situ pH Sensors.", "description": " - ACT has initiated a Performance Verification of commercially available in situ pH sensors for four reasons: 1) an increasing awareness of the need to monitor pH to assess ocean acidification and changes in the carbon chemistry speciation in coastal and estuarine ecosystems; 2) development of instrument packages to help in the maintenance and enforcement of water quality standards, 3) pH sensors and sensor packages are already available but vary in performance (see ACT workshop, In-situ measurement of dissolved inorganic carbon speciation in natural waters: pH, pCO2, TA and TCO2 , Honolulu Hawaii, February 2005); 4) verification testing of these instruments is feasible within a reasonable timeframe with existing ACT capabilities and funding. These test protocols delineate how ACT will evaluate the performance characteristics of in situ pH sensors through the collection and analysis of quality-assured environmental data. The goal of ACT\u2019s verification program is to provide industry with an opportunity to have a third-party (ACT) test their instruments in the field and under controlled laboratory settings, and to provide users of this technology with an independent and credible assessment of instrument performance. ACT will also use this opportunity to promote this emerging technology to the scientific and management communities. The instrument performance characteristics examined in the verification reflect the needs of the broader research and management communities. ACT does not certify technologies, nor guarantee that technologies will always operate at the verified standards, especially under conditions other than those used in testing; ACT does not seek to determine regulatory compliance; does not rank technologies, nor directly compare performance between specific instruments; ACT does not label, nor list technologies as \u201cacceptable\u201d or \u201cunacceptable;\u201d and does not seek to determine \u201cbest available technology\u201d in any way. ACT will avoid all potential language that implies \u201cwinners or losers\u201d. Thus, although the following protocols will be used to test all instruments tested in this program, there will be no direct comparisons of instruments. After the tests are complete, Instrument Performance Verification Statements for each instrument will be released to the public. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/774", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/774", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/774", "url": "https:\/\/hdl.handle.net\/11329\/774" }, "author": [ { "@type": "Person", "name": "Johengen, T." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/965", "name": "Challenges and perspectives of metaproteomic data analysis.", "description": " - In nature microorganisms live in complex microbial communities. Comprehensive taxonomic and functional knowledge about microbial communities supports medical and technical application such as fecal diagnostics as well as operation of biogas plants or waste water treatment plants. Furthermore, microbial communities are crucial for the global carbon and nitrogen cycle in soil and in the ocean. Among the methods available for investigation of microbial communities, metaproteomics can approximate the activity of microorganisms by investigating the protein content of a sample. Although metaproteomics is a very powerful method, issues within the bioinformatic evaluation impede its success. In particular, construction of databases for protein identification, grouping of redundant proteins as well as taxonomic and functional annotation pose big challenges. Furthermore, growing amounts of data within a metaproteomics study require dedicated algorithms and software. This review summarizes recent metaproteomics software and addresses the introduced issues in detail. - , - Refereed - , - Microbe biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/965", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/965", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/965", "url": "https:\/\/hdl.handle.net\/11329\/965" }, "author": [ { "@type": "Person", "name": "Heyer, Robert" }, { "@type": "Person", "name": "Schallert, Kay" }, { "@type": "Person", "name": "Zoun, Roman" }, { "@type": "Person", "name": "Becher, Beatrice" }, { "@type": "Person", "name": "Saake, Gunter" }, { "@type": "Person", "name": "Benndorf, Dirk" } ], "keywords": [ "Bioinformatics", "Software", "Big data", "Environmental proteomics", "Microbial communities", "Mass spectrometry", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/743", "name": "Performance Verification Statement for In-Situ Troll 9000 Rugged Dissolved Oxygen Sensor.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et.al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the performance results of In Situ Troll 9000 rugged dissolved oxygen (RDO) sensor using optical luminescence technology. Instrument accuracy and precision for the Troll 9000 RDO was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the Troll 9000 and reference measurement ranged from -0.289 to 0.173 mg\/L. There was a small difference in the mean offset for the 4 oC trials (mean = 0.05 mg\/L) versus the 15 or 30 oC trials (means = -0.05 and -0.06 mg\/L, respectively). A small response differences was also noted across salinity levels with a mean offset of 0.05 mg\/L for the 0 salinity trials compared to -0.07 and -0.04 mg\/L for the 10 and 35 salinity trials, respectively. A global linear regression of the instrument versus reference measurements for all trials combined (n=356; r2 = 0.99; p<0.0001) produced a slope of 1.005 and intercept of -0.075. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.002 \u2013 0.013 mg\/L across trials with an overall average of 0.004 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.021 \u2013 0.268 percent across trials with an overall average of 0.062%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The overall mean difference between instrument and reference measurements was -0.040 (s.d. = 0.517) mg\/L for 75 comparisons. There was no significant trend (linear regression r2 = 0.009, p=0.41) in accuracy over time that would indicate performance drift; however the magnitude of offset clearly increased after approximately 30 days. A functional response time test was conducted by examining instrument response when rapidly transitioning between adjacent high (9.6 mg\/L) and low (2.0 mg\/L) DO water baths, maintained commonly at 15 oC. The calculated \u03c490 was 52 s during high to low transitions and 48 s for low to high transitions covering the 8 mg\/L DO range. At Houghton, MI a field deployment test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The Troll 9000 RDO operated successfully throughout the entire 15week deployment and generated 9859 observations based on its 15 minute sampling interval for a data completion result of 100%. The ambient DO range captured by the reference samples was 10.249 to 14.007 mg\/L compared to the slightly broader dynamic range of 9.33 to 14.71 mg\/L recorded by the Troll 9000. The average and standard deviation of the measurement difference over the total deployment was 0.680 \u00b1 0.072 mg\/L with a total range of 0.422 to 0.940 mg\/L. The drift rate of instrument offset, estimated by linear regression (r2=0.29; p<0.001), was -0.001 mg\/L\/d. This rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.98; p<0.0001) produced a slope of 0.93 and intercept of 1.61, indicating an initial calibration offset. At Chesapeake Biological Lab, a field deployment test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The Troll 9000 generated 1879 acceptable measurements (based on \u00b1 2 mg\/L from nearest reference sample) from a possible 3639 observations based on its 30 minute sampling interval for a data completion result of 52%. The ambient DO reported by reference samples was 4.370 to 10.858 mg\/L compared to the broader dynamic range of 2.01 to 12.18 mg\/L measured by the Troll 9000. The average and standard deviation of the difference between instrument and reference measurements for the deployment was 0.550 \u00b10.409 mg\/L, with the total range of differences between -0.420 to 1.068 mg\/L. The drift rate of instrument offset for the subset of data was -0.146 mg\/L\/d (r2=0.814). This rate would include any biofouling effects as well as any electronic or calibration drift. However it is likely that data included after 6\/20 reflect a failing instrument and not a normal drift response. A linear regression of the instrument versus reference measurements for the first month of the deployment (r2 = 0.699, p<0.001) produced a slope of 1.234 and intercept of -1.384. At Kaneohe Bay, HI a field deployment test was conducted over 121 days with a mean temperature and salinity of 25.8 and 33.4 oC. The Troll quit operating on after 26 days and generated 579 out of 2826 possible observations based on its hourly sampling interval for a data completion result of 21%. The average and standard deviation of the differences between accepted instrument measurements and reference readings (n=33 of possible n=129) were -0.032 \u00b1 0.402mg\/L, with a total range in the differences of -1.458 to 0.482 mg\/L. No calculation of a drift rate is included given the short operating interval and high variability which suggested an immediate problem within the instrument. A linear regression of instrument versus reference measurements for the subset data (r2 = 0.96, p<0.001) had a slope of 1.117 and intercept of -0.692. Overall, the Troll 9000 showed good linearity across all three salinity ranges including fresh, brackish, and oceanic water, covering a dissolved oxygen range if between 4 to 14 mg\/L. A global linear regression of the composited data (r2 = 0.963; p<0.001)) had a slope of 1.086 and intercept of -0.351. The Troll 9000 was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience transitions from surface waters into both normoxic and hypoxic hypolimnion. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In chigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the third sample, the rosette was quickly profiled into the hypolimnion were samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. For Muskegon Lake, the Troll 9000 overestimated DO when transitioning rapidly from the hypolimnetic equilibration into the warmer and high DO surface water. Conversely when equilibrate in the surface water the Troll RDO underestimated DO levels when rapidly transitioned into the colder, low DO hypolimnion. The range in measurement differences between instrument and reference was 0.04 to 0.41 mg\/L for cast 2 and -0.35 to 0.23 mg\/L for cast 3. (Note: cast 1 was aborted and redone as cast 3). For Lake Michigan, the Troll 9000 underestimated DO when transitioning rapidly from surface equilibration into a colder, high DO hypolimnion. Conversely when equilibrate in the hypolimnion the Troll RDO overestimated DO levels when rapidly transitioned into the warmer, lower DO surface waters. The range in measurement differences between instrument and reference was -0.59 to 0.07 mg\/L for cast 1 and -0.11 to 0.54 mg\/L for cast 2. In both cases the Troll RDO appeared to approach equilibrium by the seventh minute and the offsets declined to around 0.10 \u2013 0.15 mg\/L. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/743", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/743", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/743", "url": "https:\/\/hdl.handle.net\/11329\/743" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1412.2", "name": "Field Manuals for Marine Sampling in Australian Waters, Version 3. [ENDORSED PRACTICE]", "description": " - The Marine and Coastal Hub has developed a suite of field manuals to ensure that data collected by marine sampling platforms at different times and places across Australia are directly comparable. The Marine Sampling Field Manuals for Monitoring Australia\u2019s Marine Waters support the national-scale monitoring and observing of Australia\u2019s marine environment while also connecting to global initiatives through the Ocean Best Practices System. With more than 228 contributors from 76 agencies, the manuals include information on marine survey design, pre-survey planning, gear deployment and retrieval, and data management. They provide consistent, defensible methods for collecting data that can be compared with other regional and national collections and are endorsed by researchers, managers, and technicians from multiple agencies with a variety of experience and subject-matter expertise. - , - NESP Marine and Coastal Hub (Department of Agriculture Water and the Environment); Report to the National Environmental Science Program, Geoscience Australia and CSIRO. - , - Published - , - Survey Design Multibeam* Autonomous Underwater Vehicles Benthic Baited Remote Underwater Video Pelagic Baited Remote Underwater Video Towed Imagery Sleds and Trawls Grabs and Box Corers Remotely Operated Vehicles Benthic Observation Stereo System Knowledge Attitude Practice Surveys Microplastics - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Macroalgal canopy cover and composition - , - Benthic invertebrate abundance and distribution - , - Hard coral cover and composition - , - Seagrass cover and composition - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1412.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1412.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1412.2", "url": "https:\/\/hdl.handle.net\/11329\/1412.2" }, "author": [ { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Bouchet, Phil" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Gibbons, Brooke" }, { "@type": "Person", "name": "Gillanders, Bronwyn" }, { "@type": "Person", "name": "Hamre, Nicole" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Leplastrier, Aero" }, { "@type": "Person", "name": "Lucieer, Vanessa" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Navarro, Matthew" }, { "@type": "Person", "name": "Picard, Kim" }, { "@type": "Person", "name": "Reis-Santos, Patrick" }, { "@type": "Person", "name": "Spencer, Claude" }, { "@type": "Person", "name": "Williams, Joel" }, { "@type": "Person", "name": "Wootton, Nina" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Foster, Scott" } ], "contributor": [ { "@type": "Organization", "name": "National Environmental Science Program (NESP). Marine and Coastal Hub" } ], "keywords": [ "Survey design", "Autonomous Underwater Vehicle", "Remotely operated vehicle", "Baited Remote Underwater Video (BRUV)", "Parameter Discipline::Marine geology", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::benthos samplers", "Instrument Type Vocabulary::underwater cameras", "Instrument Type Vocabulary::manual biota samplers", "Instrument Type Vocabulary::multi-beam echosounders", "Instrument Type Vocabulary::sediment grabs", "Data Management Practices::Data acquisition", "Data Management Practices::Data delivery", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1521", "name": "Data Management Handbook. Atlantos WP7, Deliverable D7.4. Version 1.", "description": " - he H2020 AtlantOS project aims to optimize and enhance the Integrated Atlantic Ocean Observing System. One goal is to ensure that data from different and diverse in-situ observing Networks are readily accessible and useable to a wider community, including the international ocean science community and other stakeholders in this field. To achieve that, the strategy is to move towards an integrated data system within AtlantOS that harmonizes work flows, data processing and distribution across in-situ observing network systems, and integrates in-situ observations into existing European and international data infrastructures, termed Integrators (e.g. Copernicus INS TAC, SeaDataNet NODCs, EMODnet, EurOBIS, GEOSS). This handbook aims to help the Networks to implement recommendations agreed upon within AtlantOS WP7 to achieve a better integration of their data, and to provide best practices guidelines for both Networks and Integrators for enhanced services to users. First it presents the roadmap for the AtlantOS integrated system and its actors, both Networks and Integrators. Then the elements of (1) standardization across the Networks relying on existing European and international standards and protocols, and of (2) of the data exchange backbone of the AtlantOS system, are described with the guidelines on how to set them up. Finally this handbook describes ways to facilitate data discovery at the Network level and enhancements at the Integrator level for better fit-for-purpose services to users. - , - Published - , - This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement no 633211. - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1521", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1521", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1521", "url": "https:\/\/hdl.handle.net\/11329\/1521" }, "author": [ { "@type": "Person", "name": "Harscoat, Virginia" }, { "@type": "Person", "name": "Pouliquen, S." } ], "contributor": [ { "@type": "Organization", "name": "AtlantOS" } ], "keywords": [ "AtlantOS", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data quality control", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1407", "name": "Big Data and Data from Sensors.", "description": " - This paper aims to provide a broad range of the UKEOF community and partners with a brief and introductory overview of the current state-of-play of big data, including UKEOF partner use cases in environmental observation and science, and highlights some key challenges in this rapidly emerging and developing space. Classified as being one of the \u2018eight great technologies\u2019, big data is a rapidly evolving set of concepts and approaches which includes data discovery, collection, (re)combination, mining, analytics and preservation and may be applied to very large, dynamic and complex datasets. The UKEOF Data Advisory Group highlighted that a number of partners are working in this area and that there would be a benefit to bringing their knowledge together. Though aimed at the members of the UKEOF partnership, the paper illustrates in the context of both the providers, users of data and services through relevant use cases, particular technology issues and challenges, which are applicable to the wider environmental science community. - , - Published - , - Refereed - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1407", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1407", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1407", "url": "https:\/\/hdl.handle.net\/11329\/1407" }, "contributor": [ { "@type": "Organization", "name": "UK Environmental Observation Framework (UKEOF)" } ], "keywords": [ "Sensors", "Environmental data", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2561", "name": "SISP 9 - Manual for International Pelagic Surveys (IPS).", "description": " - This manual was developed through the ICES Working Group of International Pelagic Surveys (WGIPS) as a guide to the methodologies adhered to during the planning, execution and analysis phases of WGIPS coordinated surveys. The group coordinates 29 individual surveys undertaken in the Northeast Atlantic by nine countries (Ireland, Germany, Scotland, UK (England, Scotland, Northern Ireland), Russian Federation, Norway, Netherlands, Faroe Islands, Denmark and Iceland), accounting for 519 at-sea survey days per annum. Combined, the group reports on the distribution and age disaggregated abundance of stocks of herring, blue whiting, mackerel, boarfish, sprat, sardine and anchovy to ICES for assessment purposes from 52\u00b0N to 74\u00b0N and from 30\u00b0E to 18\u00b0W. In addition to biological data from target species, the group also routinely collects data over a range of environmental parameters both biotic and abiotic. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2561", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2561", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2561", "url": "https:\/\/hdl.handle.net\/11329\/2561" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Survey methods", "Stock assessment", "Fish distrubution", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/189", "name": "GF3: a General formatting system for geo-referenced data. Volume 5. Reference manual for the GF3-PROC software.", "description": " - Published - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/189", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/189", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/189", "url": "https:\/\/hdl.handle.net\/11329\/189" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data acquisition", "Data processing", "Data storage", "Data acquisition", "Data processing", "Data storage" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1580", "name": "Copernicus Marine Service for the Arctic Region: Use case book.Version 2.0.", "description": " - Inventory of marine applications developed for the Arctic sea region with the help of Copernicus Marine Service products. - , - European Union (EU) - , - Published - , - Current - , - 14.a - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1580", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1580", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1580", "url": "https:\/\/hdl.handle.net\/11329\/1580" }, "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environmental Monitoring Service (CMEMS)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/132", "name": "SOT Recruitment presentation : Partnership between marine industry and the marine meteorological & oceanographic communities. Version 3, 2008.", "description": " - This is a series of PowerPoint slides describing SOT VOS recruit information. Powerpoint presentation entitled \"Partnership between Marine Industry and the Marine Meteorological and Oceanographic Communities\" to be used as a recruiting tool. The presentation describes the ship based programmes of SOT and seeks participation of ships to VOS, ASAP and SOOP - , - http:\/\/www.bom.gov.au\/jcomm\/vos\/download\/sot-recruit-pps.zip - , - this document could be merged with all SOT documents into higher level - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/132", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/132", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/132", "url": "https:\/\/hdl.handle.net\/11329\/132" }, "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2103", "name": "Digital Twin Architecture and Standards.", "description": " - Digital Twins are key components in an Industrial IoT (Internet of Things) ecosystem, owned and managed by business stakeholders to provide secure storage, processing and sharing of data within an architectural tier. Industrial IoT is an integration exercise rather than a development challenge, bringing many vendors and technologies together. Digital twins enable flexible configurations of applications and data storage, especially to integrate third parties. An architecture based on digital twins is one alternative for managing this complexity. - , - Refereed - , - Mature - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2103", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2103", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2103", "url": "https:\/\/hdl.handle.net\/11329\/2103" }, "author": [ { "@type": "Person", "name": "Harper, K. Eric" }, { "@type": "Person", "name": "Malakuti, Somayeh" }, { "@type": "Person", "name": "Ganz, Christopher" } ], "keywords": [ "Digital Twin", "Cross-discipline", "Data transformation\/conversion", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/188", "name": "GF3: a General formatting system for geo-referenced data. Vol. 1. Introductory guide to the GF3 formatting system.", "description": " - GF3, Oceanographic data collection, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/188", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/188", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/188", "url": "https:\/\/hdl.handle.net\/11329\/188" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanographic data", "Oceanographic surveys", "Data storage", "Data transmission", "Data processing", "Data converters", "Data storage", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/726", "name": "Evaluation of Compliance Tools Using Variable Fluorescence Fluorometry to Detect Living Organisms in Ballast Water: A Test Protocol for Collecting Measurements", "description": " - In an effort to mitigate the risk of transporting aquatic nuisance species, the United States Coast Guard (USCG) has finalized a rule limiting the concentrations of organisms in ships\u2019 ballast water discharged into US Ports (US Coast Guard 2012). The specified concentrations reflect those in the International Maritime Organization\u2019s (IMO) convention (IMO, 2004). Further, the limits are incorporated into the Vessel General Permit (VGP)\u2014a set of guidelines on a suite of vessel operations (including the discharge of ballast water) regulated under the authority of the US Environmental Protection Agency (US EPA, 2013). In order to meet these limits, most ships will use a ballast water management system (BWMS). These systems incorporate a variety of technologies (including UV radiation, electrolytic chlorination, deoxygenation) to ensure that the discharge water meets the specifications. Determining concentrations of sparsely populated living organisms requires extensive effort and sensitive equipment. For example, organisms \u226510 and <50 \u00b5m may be quantified using a set of vital stains to label living organisms and tally the organisms via epifluorescence microscopy (Steinberg et al. 2011). Direct counts of living organisms yield concentrations comparable to the numerical standard. While this rigorous, complex, and time-consuming analysis is appropriate for verification testing of BWMS (US EPA, 2010), it is not feasible to perform this analysis during routine shipboard inspections. Rather simple, hand-held, field instruments (\u201ccompliance tools\u201d) to rapidly assess the likelihood that the ballast water clearly exceeds the discharge limits will be of much greater value to the compliance officer. The tools for this approach must immediately produce measurements that are reliable indicators of the concentrations of living organisms within a regulated size class - , - Unpublished - , - Refereed - , - Current - , - Zooplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/726", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/726", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/726", "url": "https:\/\/hdl.handle.net\/11329\/726" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Ballast water", "Biological Oceanography", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1745", "name": "Net cuttings waste from fishing in the North-East Atlantic: best practices for mitigation. A report for OSPAR Action 36: to develop best practice in the fishing industry.", "description": " - The issue of pollution from waste net cuttings needs to be addressed. These small items, found in abundance on shores and in the marine environment, cause harm to marine wildlife through ingestion and entanglement and to our fishing industry through damage to fishing gear. Simple, effective solutions can be implemented by fishers and port authorities to collect and contain pieces of net, rope and cord before they are washed to sea. Mitigation requires awareness raising within the industry and engagement by fishers and harbour authorities to modify existing work practices and use methods and tools to better manage cuttings waste. On behalf of the Swedish Agency for Marine and Water Management, KIMO International conducted a survey of harbour authorities and fishers from four countries in the North Sea region in order to explore challenges and solutions to reducing the volume of waste net cuttings from the fishing industry that end up in the sea. This report presents an analysis of background research and of the results from the survey, including feedback gained through face to face interviews. Information was gathered about the sources of net cuttings and practices that mitigate inputs to the marine environment. Fishers and harbour authorities contributed valuable information about current work practices, attitudes towards disposal of cuttings, and evaluation of remedial measures. Recommendations for next steps for national governments, ports and fishers are also provided in the report. The surveys, a best practices guide and a set of awareness-raising materials have been developed to accompany this report. It is our hope that these will be widely circulated and used to raise awareness in the OSPAR maritime area, and in any area where commercial fishing activities take place, thus preventing further inputs of waste net cuttings into our marine environment. - , - Swedish Agency for Marine and Water Management - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Marine debris - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1745", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1745", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1745", "url": "https:\/\/hdl.handle.net\/11329\/1745" }, "author": [ { "@type": "Person", "name": "Metcalfe, Ryan" }, { "@type": "Person", "name": "Bentley, Arabelle" } ], "contributor": [ { "@type": "Organization", "name": "KIMO International for Swedish Agency for Marine and Water Management" } ], "keywords": [ "Plastic pollution", "Fishing gear", "Net cuttings", "Fishing nets", "Anthropogenic contamination", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1392", "name": "Report on Best Practice in the utilization of sensors used for measuring nutrients, biology related optical properties,variables of the marine carbonate system, and for coastal profiling. JERICO-NEXT Deliverable D2.5. Version 1.0", "description": " - The coastal area is the most productive and dynamic environment of the world ocean with significant resources and services for mankind. JERICO-NEXT emphasizes thatthe complexity of the coastal ocean cannot be well understood if interconnection between physics, biogeochemistry and biology is not guaranteed. Such an integration requires new technological developments allowing continuous monitoring of a larger set of parameters. The objective of JERICO-NEXT consists in strengthening and enlarging a solid and transparent European network in providing operational services for the timely, continuous and sustainable delivery of high quality environmental data and information products related to marine environment in European coastal seas.The best practice of technologies, methodologies and procedures is a vital step in ensuring efficiency and optimal returns from any kind of distributed, heterogeneous, multifaceted, coastal observing infrastructure operating on a transnational level like the JERICO network. The JERICO network is always striving to increase its suite of sensors to anticipate likely future demands. As part of this effort, it is now implementing a variety of sensors for a number of bio-geochemical measurements. While Task 2.4 of JERICO-NEXT dealt with the harmonization of these sensors and their underlying technologies,this report provides information on Best Practice in the utilization of sensors used for measuring nutrients (lead: CEFAS), biology-related optical properties (lead: SYKE), variables of the marine carbonate system (lead: NIVA),and for coastal profiling (lead: CNR). This deliverable will also inform on the outcome and results of the workshopsthat weredealing with its topic during the project. - , - Published - , - Contributors: Naomi Greenwood , Chris Read, Agathe Laes-Huon, Anne Daniel, Karel Bakker, Daniel Blandfort , Martina Gehrung , Pasi Yl\u00f6stalo , Lumi Haraguchi , Jani Ruohola , Bengt Karlson , Felipe Artigas , Fabrice Lizon , Melilotus Thyssen , Guillaume Wacquet , Manolis Ntoumas , Veronique Cr\u00e9ach , Pierre Jaccard , Laurent Delauney , Jukka Sepp\u00e4l\u00e4 , Andrew L. King, Kai S\u00f8rensen, Sabine Marty , Anna Wranne Willstrand , Lauri Laakso , Carolina Cantoni , Wilhelm Petersen, Yoana Voynova, Klas Ove M\u00f6ller , Michela Martinelli , - , - Refereed - , - Current - , - 14.A - , - Nutrients - , - Inorganic carbon - , - Mature - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1392", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1392", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1392", "url": "https:\/\/hdl.handle.net\/11329\/1392" }, "author": [ { "@type": "Person", "name": "M\u00f6ller, Klas Ove" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Nair, Rajesh" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Nutrient sensors", "Coastal profiling", "Biology-related optical properties", "Parameter Discipline::Chemical oceanography::Nutrients", "Parameter Discipline::Chemical oceanography::Carbonate system", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Instrument Type Vocabulary::nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2504", "name": "ISO 6878:2004. Water quality \u2014 Determination of phosphorus \u2014 Ammonium molybdate spectrometric method. Edition 2. [Reviewed 2019]", "description": " - This International Standard specifies the determination of different forms of phosphorus compounds present in ground, surface and waste waters in various concentrations in the dissolved and undissolved state. The user should be aware that particular problems could require the specification of additional marginal conditions. WARNING \u2014 Persons using this International Standard should be familiar with normal laboratory practice. This International Standard does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. It is absolutely essential that tests conducted according to this International Standard be carried out by suitably qualified staff. Molybdate and antimony waste solutions should be disposed of properly. 1 Scope This International Standard specifies methods for the determination of \u2014 orthophosphate (see Clause 4); \u2014 orthophosphate after solvent extraction (see Clause 5); \u2014 hydrolysable phosphate plus orthophosphate (see Clause 6); \u2014 total phosphorus after decomposition (see Clauses 7 and 8). The methods are applicable to all kinds of water including seawater and effluents. Phosphorus concentrations within the range of 0,005 mg\/l to 0,8 mg\/l may be determined in such samples without dilution. A solvent extraction procedure allows smaller phosphorus concentrations to be determined with a detection limit of about 0,000 5 mg\/l. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2504", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2504", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2504", "url": "https:\/\/hdl.handle.net\/11329\/2504" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Chemical Oxygen Demand (COD)", "Orthophosphate", "ISO Standard", "Nutrients", "Carbon, nitrogen and phosphorus", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1145", "name": "Sampling protocol for assessment of marine diversity on sandy beaches.", "description": " - Present from Patagonia to the Artic and more frequented by people than any other type of shoreline, sandy beaches have been commonly neglected in long term ecological and conservation programs, as well as in politicians\u2019 and stakeholders\u2019 agendas. This is a contrasting situation when considering the intrinsic relationship with human societies and the unique role of sandy shores in providing ecosystem services. A lack of standardized data of this very dynamic environment, with huge variation in geological history, tide range, sediment texture, slope, and exposition to waves, make investigations of large temporal and spatial patterns a big challenge, compromising the forecasting of future ecological scenarios and management activities. For the first time on a Pole to Pole scale, this protocol aims to address simple tools and best practices towards an implementation of standardized tools of investigation at large temporal and spatial scales able to detect relationships between ecological patterns and global climatic changes. We hope to provide common and useful indicators of sandy beach ecosystem functions and environmental changes that can be used by the scientific community and by stakeholders for a sustainable management of coastal zones, such as macrofauna diversity, ghost crab density, macroplastic occurrence and biomass of detritus at the drift line. - , - Published - , - Refereed - , - Current - , - 14.2 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1145", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1145", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1145", "url": "https:\/\/hdl.handle.net\/11329\/1145" }, "contributor": [ { "@type": "Organization", "name": "Marine Biodiversity Observation Network Pole to Pole of the Americas" } ], "keywords": [ "Marine biodiversity", "Sandy beach ecology", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Parameter Discipline::Biological oceanography::Rock and sediment biota" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1034", "name": "Ocean Data Standards Volume 4: Technology for SeaDataNet Controlled Vocabularies for describing Marine and Oceanographic Datasets - A joint Proposal by SeaDataNet and ODIP projects.", "description": " - SeaDataNet has set up and populates common vocabularies for describing marine and oceanographic datasets (https:\/\/www.seadatanet.org\/Standards\/Common-Vocabularies). The vocabulary services are technically managed and hosted by the British Oceanographic Data Centre (BODC) by means of the NERC Vocabulary Server (NVS2.0). The vocabularies are made available as web services for machines and by means of client interfaces for end-users. The client interfaces provide end-users options for searching, browsing and CSV-format export of selected entries. The machine interfaces are provided via a SOAP Application Programming Interface (API) for exchanging structured information across computer networks as the result of calls. It relies upon XML (eXstensible Markup Language) documents for passing messages. Moreover there is an operational SPARQL endpoint for machine interaction. This document describes the technology of NERC Vocabulary Server version 2.0. It has been published at the IOC Manual and Guides No. 54 Volume 4 and is recommended by the IOC\/IODE (http:\/\/www.oceandatastandards.org\/recommended-standards-mainmenu-44) as a standard for describing marine and oceanographic datasets. - , - Published - , - Authors: Leadbetter, Adam; Lowry, Roy; Clements, Olly; Vocabulary Management Group. Issued wrongly with title on front cover as Ocean Data Standards, Vol.4: SeaDataNet Controlled Vocabularies for describing Marine and Oceanographic Datasets - A joint Proposal by SeaDataNet and ODIP projects. Replaced with correct front cover 2091024 - , - Refereed - , - Current - , - 14.a - , - Best Practice - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1034", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1034", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1034", "url": "https:\/\/hdl.handle.net\/11329\/1034" }, "contributor": [ { "@type": "Organization", "name": "IODE\/UNESCO" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Data interoperability development", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/249", "name": "Guide to Best Practices for Ocean CO2 Measurements.", "description": " - The collection of extensive, reliable, oceanic carbon data was a key component of the Joint Global Ocean Flux Study (JGOFS) and World Ocean Circulation Experiment (WOCE) and continues to be a cornerstone of the global climate research effort. This Guide was originally prepared at the request, and with the active participation, of a science team formed by the U.S. Department of Energy (DOE) to carry out the first global surv ey of carbon dioxide in the oceans (DOE. 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water; version 2, A.G. Dickson and C. Goyet, Eds. ORNL\/CDIAC-74). The manual has been updated several times since, and the current version contains the most up-to-date information available on the chemistry of CO 2 in sea water and the methodology of determining carbon system parameters. This revision has been made possible by the generous support of the North Pacific Marine Science Organization (PICES), the International Ocean Carbon Coordination Project (IOCCP) co-sponsored by the Scientific Committee on Ocean Research (SCOR) and the Intergovernmental Oceanographic Commission (IOC) of UNESCO, and the Carbon Dioxide Information Analysis Center (CDIAC). The editors are extremely grateful to Alex Kozyr and Mikhail Krassovski at CDIAC for their hard work in helping us to complete this revised volume. - , - North Pacific Marine Science Organization (PICES), Scientific Committee on Ocean Research (SCOR), Intergovernmental Oceanographic Committee (IOC), DOE through the Carbon Dioxide Information and Analysis Center (CDIAC). - , - Published - , - This Guide was originally prepared at the request, and with the active participation, of a science team formed by the U.S. Department of Energy (DOE) to carry out the first global survey of carbon dioxide in the oceans (DOE. 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water; version 2, A.G. Dickson and C. Goyet, Eds. ORNL\/CDIAC-74). The manual has been updated several times since, and the current version contains the most up-to-date information available on the chemistry of CO2 in sea water and the methodology of determining carbon system parameters. - , - Also is included as a contribution to GO-SHIP Repeat Hydrography Manual (2010) http:\/\/www.oceanbestpractices.net\/handle\/11329\/352 - , - Also included as a Chapter in: The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and Guidelines. Version 1. - , - Author contributors: Dickson, Andrew G. ; Sabine, Christopher L. ; Christian, James R. ; Bargeron, Charlene P. ; Byrne, Robert H. ; Campbelle, Douglas ; Chipman, David W. ; Clayton, Tonya D. ; Dittert, Nicolas ; Farmer, Charles ; Feely, Richard A. ; Goyet, Catherine ; Guenther, Peter ; Hansell, Dennis A. ; Johnson, Ken M. ; Johnson, W. Keith ; Key, Robert M. ; Miller, Lisa A. ; Millero, Frank J. ; Neill, Craig ; Ono, Tsuneo ; P\u00e9rez, Fiz F. ; Pierrot, Denis ; R\u00edos, Aida F. ; Schneider, Bernd ; Sweeney, Colm ; Tilbrook, Bronte ; Tishchenko, Pavel Ya. ; Wallace, Douglas ; Wanninkhof, Rik ; Weiss, Ray F. ; Wills, Kevin ; Winn, Christopher D. - , - Some chapters also available in Korean and Spanish - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/249", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/249", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/249", "url": "https:\/\/hdl.handle.net\/11329\/249" }, "contributor": [ { "@type": "Organization", "name": "North Pacific Marine Science Organization" } ], "keywords": [ "North Pacific Marine Science Organization", "GO-SHIP", "Carbon dioxide", "CO2", "Parameter Discipline - Chemical oceanography - Carbon, nitrogen and phosphorus", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/777", "name": "Protocols for Demonstrating the Performance of In Situ pCO2 Analyzers.", "description": " - There are three important reasons for measuring pCO2 continuously from coastal moorings. The first is to evaluate whether coastal oceans are functioning as a source or a sink of atmospheric CO2. The open ocean and more distal parts of the shelves are reasonably well characterized as either typical CO2 sinks or sources (Takahashi et al., 2009), while the inner shelves are most variable and (with a general predominance of a source function) least well constrained; coastal areas are expected to be rather vulnerable to climate change in the 21st century. This of course has direct consequence of managing CO2 as a pollutant. Near continuous measurements of pCO2 will provide some understanding of the fluxes, their variability and their forcing parameters. The second reason involves the changes in saturation state of the water with respect to carbonate minerals and the impact on calcifying ecosystems. Surface pCO2 measurements in conjunction with direct measurements of one other parameter of the marine CO2 system (pH, TA or total DIC) can be used to calculate saturation state (for calcite and aragonite). The third important use is the direct measurement of net community production in shallow waters, and thus further understanding how the carbon cycle is affected by climate ACT pCO2 Sensor Demonstration Protocols ACT PD09-01 4 changes parameters such as temperature, and pH. Changes in pCO2 can occur on wide range time scales ; from hourly and diel to seasonal and inter-annual. All these parameters are potentially being altered by progressive ocean acidification. Thus it is vital to further promote, develop and improve measurement capabilities for seawater pCO2. The ACT workshop on pCO2 posed the following question: What are the major impediments to transform existing shipboard pCO2 systems for use on cost-efficient autonomous platforms such moorings? Answers were: The measurement of pCO2 is believed by industry to be reliable and ready for use on moorings. The issues of interest follow in order of greatest concern: 1. Reliability (precision and accuracy, long- term stability) and biofouling resistance - the system is designed as a number of components all of which have error and intrinsic limitations. 2. Software should be designed for easy use (e.g. educational use and use by managers), not just experts in the analysis and geochemistry of dissolved inorganic carbon. 3. Supportive financing in terms of supplementing costs, identifying focused markets, and facilitating the movement of technology applications from addressing the questions of individual researchers to broader, regional management issues. These needs could be addressed with the creation of focused RFPs issued by governing agencies. 4. Technologies need to be made relatively compact , portable and of rugged design. 5. Provide venues for training people to not only use the technologies, but on how to understand and interpret the data. Action items regarding pCO2 from the workshop were: 1.More measurements of pCO2 in coastal waters are needed to better quantify CO2 fluxes in coastal environments, not just open- ocean environments. These data need to be coordinated with other spatially dependent physical and biogeochemical information. 2.Verify that in situ pCO2 sensing works within a broad range of environments as prescribed with comparison and availability. Companies working with Euro-ACT should be involved. 3. Objectives and Focus of pCO 2 Analyzer Performance Demonstration The basic objectives of this Performance Demonstration are to: (1) highlight the potential capabilities of in situ pCO2 analyzers by demonstrating their utility in two different coastal environments, a shallow coral reef and a vertically stratified sound; (2) promote the awareness of this emerging technology to the scientific and management community responsible for monitoring coastal environments, and (3) work with manufacturers that are presently developing new or improved sensor systems, by providing a forum for thoroughly testing their products in a scientifically defensible program, at relatively minor costs in time and resources to the companies. At present there are three basic ways to measure CO2 gas with moored instruments, equilibration of a gas phase with seawater and subsequent CO2 measurement by an infrared analyzer, equilibration of a pH sensitive dye with seawater, and fluorescence. We envision that ACT pCO2 Sensor Demonstration Protocols ACT PD09-01 5 in situ pCO2 sensors will be widely deployed to measure patterns in CO2 gas flux in many coastal regions, on relatively small platforms. This includes larger offshore moorings and small shallow water moorings, in time scales of days to months. - , - Published - , - Refereed - , - Current - , - Dissolved organic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/777", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/777", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/777", "url": "https:\/\/hdl.handle.net\/11329\/777" }, "author": [ { "@type": "Person", "name": "Johengen, T." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1678", "name": "Scintillation Counter 2008.", "description": " - New(er) Beckman LS 6000IC (SysID# 231220) scintillation counter donated to SIO-CalCOFI by NOAA in early 2008. Repaired by SIO-CalCOFI and in service Oct 2008, replacing our broken\/non-repairable Beckman LS 1801. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Scintillation counter Beckman LS 6000IC - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1678", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1678", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1678", "url": "https:\/\/hdl.handle.net\/11329\/1678" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Scintillation counter", "Chemical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2105", "name": "An Experimental Benchmark for Geoacoustic Inversion Methods.", "description": " - Over the past 25 years, there has been significant research activity in development and application of methods for inverting acoustical field data to estimate parameters of geoacoustic models of the ocean bottom. Although the performance of various geoacoustic inversionmethods has been benchmarked on simulated data, their performance with experimental data remains an open question. This article constitutes the first attempt of an experimental benchmark of geoacoustic inversionmethods. To do so, the article focuses on data from experiments carried out at a common site during the ShallowWater 2006 (SW06) experiment. The contribution of the article is twofold. First, the article provides an overview of experimental inversionmethods and results obtained with SW06 data. Second, the article proposes and uses quantitative metrics to assess the experimental performance of inversion methods. From a sonar performance point of view, the benchmark shows that no particular geoacoustic inversion method is definitely better than any other of the ones that were tested. All the inversion methods generated adequate sound-speed profiles, but only a few methods estimated attenuation and density. Also, acoustical field prediction performance drastically reduces with range for all geoacoustic models, and this performance loss dominates over intermodel variability. Overall, the benchmark covers the two main objectives of geoacoustic inversion: obtaining geophysical information about the seabed, and\/or predicting acoustic propagation in a given area. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2105", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2105", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2105", "url": "https:\/\/hdl.handle.net\/11329\/2105" }, "author": [ { "@type": "Person", "name": "Bonnel, Julien" }, { "@type": "Person", "name": "Pecknold, Sean P." }, { "@type": "Person", "name": "Hines, Paul C." }, { "@type": "Person", "name": "Chapman, N. Ross" } ], "keywords": [ "Geoacoutstic inversion", "Shallow water acoustics", "Underwater acoustics", "Benchmark", "Field geophysics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1674", "name": "Primary Productivity Protocol.", "description": " - PRE-CRUISE PREPARATIONS 1. Check well in advance of cruise to be sure there is enough isotope ready to be used. This amount may vary depending on specific activity desired. Also, check scintillation fluid and all other supplies on the supply list. 2. Be sure a copy of this protocol and a \u201cRequest for Isotope usage on SIO Vessels\u201d (see sample forms section at the end of this Protocol) have been sent to the ship scheduling office. These items should be submitted three months in advance if possible. Submit these also for cruises NOAA vessel just as though it were an SIO vessel to extend licensing to the vessel. 3. Incubator tubes should be cleaned and calibrated prior to each cruise. After the Incubator tubes are calibrated, a new \u201cdesired depth\u201d sheet must be prepared using the new calibration values. The new calibration values must also be entered into the PIC module of CODES for determining sampling depths at sea. 4. Polycarbonate bottles used for incubations should be cleaned with MICRO and acid rinsed prior to each cruise. 5. Rosette bottles used for Productivity sample collection must be MICRO cleaned and acid rinsed prior to each cruise. 6. Make a set of stick on labels scintiallation vials with sequential numbers for use on the cruise. Each CalCOFI productivity experiment uses 18 vials; typical cruises have 15 or 16 experiments. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1674", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1674", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1674", "url": "https:\/\/hdl.handle.net\/11329\/1674" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Isotopes", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/597", "name": "Manual of tide observations.", "description": " - Contains instructions for observing and recording the rise and fall of the tide and for making necessary reductions to determine the datum planes and the nonharmonic quantities published in the tide tables. - , - Published - , - Revision of Special Publication 196 - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/597", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/597", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/597", "url": "https:\/\/hdl.handle.net\/11329\/597" }, "contributor": [ { "@type": "Organization", "name": "United States Government Printing Office" } ], "keywords": [ "Tide gauges", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/523", "name": "Ocean-Colour Observations from a Geostationary Orbit.", "description": " - Coastal zone monitoring requires dedicated, high spatial, high frequency coverage by satellite ocean colour sensors, rather than once per day global coverage, as provided by most current ocean colour missions. Observing the Earth from the geostationary orbit can provide better temporal coverage, the possibility of following episodic events at the scale of hours (e.g., red tides, sediment transport), and the improvement of the match between the temporal scale of satellite observations and those of models. Several space agencies have displayed a high level of interest in ocean colour observations from a geostationary platform. This report advocates for collaboration and standardisation in mission requirements, and reviews science questions that can be addressed via ocean colour observations from a geostationary orbit, presents an inventory of proposed and existing GEO ocean-colour missions and examines the complementarity of low-Earth and geostationary orbits. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: Yu-Hwan Ahn, David Antoine, Jean-Loup B\u00e9zy, Prakash Chauhan, Curtiss Davis, Paul DiGiacomo, Xianqiang He, Joji Ishizaka, Hiroshi Kobayashi, Anne Lifermann, Antonio Mannino, Constant Mazeran, Kevin Ruddick - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/523", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/523", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/523", "url": "https:\/\/hdl.handle.net\/11329\/523" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1768", "name": "A New Global Ocean Climatology.", "description": " - A new global ocean temperature and salinity climatology is proposed for two time periods: a long time mean using multiple sensor data for the 1900\u20132017 period and a shorter time mean using only profiling float data for the 2003\u20132017 period. We use the historical database of World Ocean Database 2018. The estimation approach is novel as an additional quality control procedure is implemented, along with a new mapping algorithm based on Data Interpolating Variational Analysis. The new procedure, in addition to the traditional quality control approach, resulted in low sensitivity in terms of the first guess field choice. The roughness index and the root mean square of residuals are new indices applied to the selection of the free mapping parameters along with sensitivity experiments. Overall, the new estimates were consistent with previous climatologies, but several differences were found. The cause of these discrepancies is difficult to identify due to several differences in the procedures. To minimise these uncertainties, a multi-model ensemble mean is proposed as the least uncertain estimate of the global ocean temperature and salinity climatology - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1768", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1768", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1768", "url": "https:\/\/hdl.handle.net\/11329\/1768" }, "author": [ { "@type": "Person", "name": "Shahzadi, Kanwal" }, { "@type": "Person", "name": "Pinardi, Nadia" }, { "@type": "Person", "name": "Barth, Alexander" }, { "@type": "Person", "name": "Troupin, Charles" }, { "@type": "Person", "name": "Lyubartsev, Vladyslav" }, { "@type": "Person", "name": "Simoncelli, Simona" } ], "keywords": [ "Temperature analysis", "Salinity analysis", "Data interpolating variational analysis", "Multi-model ensemble", "Water column temperature and salinity", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/776", "name": "Protocols for Verifying the Performance of In Situ Salinity Sensors.", "description": " - his ACT Technology Evaluation will examine individual sensor performance both in the laboratory and across different field conditions in moored and vertically profiled applications. We will focus specifically on commonly used inductive, conductive, and electrode based conductivity sensors with measuring ranges from 0 - 100 mS\/cm. For those instruments that do not internally derive salinity values, we will the use the practical salinity scale approach using the formulas supplied in UNESCO Technical Memo by Fofonoff and Millard (1983). These derived salinity values will be reported without units per recommendations of the International Oceanographic community (reference). 3. Objectives and Focus of Salinity Sensor Performance Verification The fundamental objectives of this Performance Verification are to: (1) highlight the potential capabilities of in situ salinity sensors by demonstrating their utility in a broad range of coastal environments with varying salinity, (2) verify manufacturer claims on the performance characteristics of commercially available salinity sensors when tested in a controlled laboratory setting, and (3) verify performance characteristics of commercially available salinity sensors when applied in real world applications in a diverse range of coastal environments. ACT has performed a customer needs and use assessments and held a technology workshop on in situ salinity sensors. As part of these reviews, scientists, resource managers, and other users of these technologies were asked about their current use or application of these instruments, their perceptions of limitations or problems with the technology, and the most important criteria they use when selecting a sensor or instrument package . The results of these assessments were used to identify the main applications and key parameters that ACT will evaluate in this Technology Verification. The two most common applications for users of salinity sensors were moored deployments on remote platforms for continuous monitoring and vertical profiling using CTD\/ rosette platforms. The use of salinity sensors among our survey respondents was evenly divided between freshwater, brackish water, and marine environments, but with over 75% of the respondents indicated use within shallow, nearshore environments. The greatest use of salinity data was to provide a general description of the environment, followed by identification of water masses and making density calculations for stratification. Approximately 40% of the respondents stated an accuracy requirement of 0.1 salinity, while another 30% stated a requirement of 0.01 salinity. The performance characteristics that ranked highest included reliability, accuracy, precision, ease of calibration, and stability. This ACT Performance Verification will focus on these types of applications and criteria utilizing a series of field tests at up five of the ACT Partner Institution sites, representing marine, estuarine and freshwater environments. A laboratory component of the Verification will be performed at a sixth Partner Institutional site. Complete needs and use assessment and workshop reports can be found at www.act-us.info - , - Published - , - Refereed - , - Current - , - Subsurface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/776", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/776", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/776", "url": "https:\/\/hdl.handle.net\/11329\/776" }, "author": [ { "@type": "Person", "name": "Johengen, T." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2066", "name": "Value chains in public marine data: A UK case study. A joint OECD Working Paper in collaboration with the UK Marine Environmental Data and Information Network (MEDIN) and the Global Ocean Observing System (GOOS) in the Intergovernmental Oceanographic Commission of UNESCO.", "description": " - Marine data play a crucial role for many scientific disciplines, as well as for very diverse operational services such as fisheries management, environmental planning, marine conservation, weather forecasting, or port management. The information derived from marine data is also increasingly finding its way into a wide and varied range of public policy arenas and private industries. Collecting, distributing and archiving public marine data provide benefits to society at large, however as with all public investments, assessments are needed to provide evidence to decision makers. Based on an original survey of UK marine data users, this paper explores pathways through which marine data are used and transformed into actionable information, creating systematised value chains for the first time. The analysis unveils trends in current marine data uses in the UK and key benefits of data uses. The paper lays the foundations for further OECD work with the marine data community. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2066", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2066", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2066", "url": "https:\/\/hdl.handle.net\/11329\/2066" }, "author": [ { "@type": "Person", "name": "Jolly, Claire" }, { "@type": "Person", "name": "Jolliffe, James" }, { "@type": "Person", "name": "Postlethwaite, Clare" }, { "@type": "Person", "name": "Heslop, Emma" } ], "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Value chain", "Economy", "Green Growth and Sustainable Development", "Administration and dimensions", "Data archival\/stewardship\/curation", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/502", "name": "DataOne best practices primer.", "description": " - Primer on Data Management: What you always wanted to know. The goal of data management is to produce self-describing data sets. If you give your data to a scientist or colleague who has not been involved with your project, will they be able to make sense of it? Will they be able to use it effectively and properly? This primer describes a few fundamental data management practices that will enable you to develop a data management plan, as well as how to effectively create, organize, manage, describe, preserve and share data. - , - Published - , - Title - Primer on Data Management: What you always wanted to know; but footer is DataONE Best Practices Primer - , - Refereed - , - Current - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/502", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/502", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/502", "url": "https:\/\/hdl.handle.net\/11329\/502" }, "author": [ { "@type": "Person", "name": "Strasser, Carly" }, { "@type": "Person", "name": "Cook, Robert" }, { "@type": "Person", "name": "Michener, William" }, { "@type": "Person", "name": "Budden, Amber" } ], "contributor": [ { "@type": "Organization", "name": "DataONE" } ], "keywords": [ "Data management plan", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/508", "name": "The Argos-CLS Kalman Filter: Error Structures and State-Space Modelling Relative to Fastloc GPS Data.", "description": " - Understanding how an animal utilises its surroundings requires its movements through space to be described accurately. Satellite telemetry is the only means of acquiring movement data for many species however data are prone to varying amounts of spatial error; the recent application of state-space models (SSMs) to the location estimation problem have provided a means to incorporate spatial errors when characterising animal movements. The predominant platform for collecting satellite telemetry data on free-ranging animals, Service Argos, recently provided an alternative Doppler location estimation algorithm that is purported to be more accurate and generate a greater number of locations that its predecessor. We provide a comprehensive assessment of this new estimation process performance on data from free-ranging animals relative to concurrently collected Fastloc GPS data. Additionally, we test the efficacy of three readily-available SSM in predicting the movement of two focal animals. Raw Argos location estimates generated by the new algorithm were greatly improved compared to the old system. Approximately twice as many Argos locations were derived compared to GPS on the devices used. Root Mean Square Errors (RMSE) for each optimal SSM were less than 4.25km with some producing RMSE of less than 2.50km. Differences in the biological plausibility of the tracks between the two focal animals used to investigate the utility of SSM highlights the importance of considering animal behaviour in movement studies. The ability to reprocess Argos data collected since 2008 with the new algorithm should permit questions of animal movement to be revisited at a finer resolution. - , - Refereed - , - SDG14 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/508", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/508", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/508", "url": "https:\/\/hdl.handle.net\/11329\/508" }, "author": [ { "@type": "Person", "name": "Lowther, A.D." }, { "@type": "Person", "name": "Lydersen, C." }, { "@type": "Person", "name": "Fedak, M.A." }, { "@type": "Person", "name": "Lovell, P." }, { "@type": "Person", "name": "Kovacs, K.M." } ], "keywords": [ "Argos", "Animal borne sensors", "State-space model (SSM)", "Animal movement", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1711", "name": "Data Interoperability Between Elements of the Global Ocean Observing System.", "description": " - The data management landscape associated with the Global Ocean Observing System is distributed, complex, and only loosely coordinated. Yet interoperability across this distributed landscape is essential to enable data to be reused, preserved, and integrated and to minimize costs in the process. A building block for a distributed system in which component systems can exchange and understand information is standardization of data formats, distribution protocols, and metadata. By reviewing several data management use cases we attempt to characterize the current state of ocean data interoperability and make suggestions for continued evolution of the interoperability standards underpinning the data system. We reaffirm the technical data standard recommendations from previous OceanObs conferences and suggest incremental improvements to them that can help the GOOS data system address the significant challenges that remain in order to develop a truly multidisciplinary data system. - , - Refereed - , - 14.a - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1711", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1711", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1711", "url": "https:\/\/hdl.handle.net\/11329\/1711" }, "author": [ { "@type": "Person", "name": "Snowden, Derrick" }, { "@type": "Person", "name": "Tsontos, Vardis M." }, { "@type": "Person", "name": "Handegard, Nils Olav" }, { "@type": "Person", "name": "Zarate, Marcos" }, { "@type": "Person", "name": "O\u2019Brien, Kevin" }, { "@type": "Person", "name": "Casey, Kenneth S." }, { "@type": "Person", "name": "Smith, Neville" }, { "@type": "Person", "name": "Sagen, Helge" }, { "@type": "Person", "name": "Bailey, Kathleen" }, { "@type": "Person", "name": "Lewis, Mirtha N." }, { "@type": "Person", "name": "Arms, Sean C." } ], "keywords": [ "Data lifecycle", "Data preservation", "Standards", "Metadata", "Data Interoperability", "Cross-discipline", "Data interoperability development", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2318", "name": "HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (PLC-Water)", "description": " - Since the establishment of the Convention for the Protection of the Marine Environment of the Baltic Sea Area (Helsinki Convention) in 1974, the Commission for the Protection of the Marine Environment of the Baltic Sea Area (Helsinki Commission or HELCOM for short) has been working to reduce the inputs of nutrients to the sea. Through coordinated monitoring, HELCOM has, since the mid-1980s been compiling information about the magnitude and sources of nutrient inputs into the Baltic Sea. By regularly compiling and reporting data on pollution inputs, HELCOM is able to follow the progress towards reaching politically agreed nutrient reduction input goals. In 2007, the HELCOM Baltic Sea Action Plan (BSAP) was adopted by the Baltic Sea coastal countries and the European Union (HELCOM 2007). The BSAP has the overall objective of reaching good environmental status in the Baltic Sea, by addressing eutrophication, hazardous substances, biodiversity, and maritime activities. The BSAP was updated in 2021 (HELCOM Baltic Sea Action Plan \u2013 2021 update). The new BSAP identifies a complex of measures which are to be implemented by Contracting Parties to the Helsinki Convention by 2030 and aims to achieve good environmental status of the Baltic Sea by the end of this period. The BSAP establishes maximum allowable inputs (MAI) of nutrients as key environmental targets to achieve good status in terms of eutrophication derived through modelled calculations by the Baltic Nest Institute (BNI) in Sweden. The Action Plan also adopts nutrient input ceilings (NIC) for all Baltic Sea countries and other contributors to the total input of nutrients as a prerequisite for achieving MAI. Since MAI and NIC are based on the best available scientific information and are subject to review when new scientific knowledge is available, the 2021 BSAP calls for targeted regional studies to improve the quality of the assessment data particularly on natural background losses, atmospheric deposition, retention, transboundary loads and other aspects. The BSAP also requests all Contracting Parties to implement all nutrient input reduction measures necessary to achieve the NICs by 2027 at the latest. In the 2021 Baltic Sea Action Plan the HELCOM Contracting Parties agreed on the continuous follow-up of the implementation of maximum allowable inputs and nutrient input ceilings which assumes annual assessment of MAI and assessment of progress towards NICs every two years. This follow-up requires that Contracting Parties timely provide sufficient and consistent data on nutrient loads to the Baltic Sea. It requires maintaining and enhancing monitoring programmes and networks striving for harmonized methods to estimate nutrient inputs. Since large amount of nutrients are transported to the Baltic Sea through national borders, strengthening cooperation with river basin management authorities, including non-HELCOM countries, is the way to improve knowledge on transboundary inputs and develop adequate measures for their minimization. Finally, the 2021 BSAP calls HELCOM countries to submit an account listing, as detailed as possible, the planned and implemented measures in different sectors and catchments alongside an estimation of their effectiveness to HELCOM by 2023 in order to demonstrate whether National Net Nutrient Input Ceilings can be achieved with these measures. This information is to be a part of PLC work on assessment of the effectiveness of measures to reduce input of nutrients. The present document contains a revised and updated version of the guidelines that was prepared as part of the project Eighth Baltic Sea Pollution Load Compilation (PLC-8). It provides the Contracting Parties of the Helsinki Commission a guidance in their national monitoring programmes and reporting of pollution inputs in order to compile harmonized data and produce reliable region-wide PLC assessments. The Guidelines concern monitoring of either airborne or waterborne input of contaminants, since the assessment products are intended to demonstrate a holistic approach, including assessment of total inputs as well as identification of major pathways and sources of pollutants. The updated Guidelines also include procedures for the reporting of data for HELCOM pollution load compilation (PLC) and releasing of PLC products based on reported data. The Guidelines are aligned with EU quality assurance standards and OSPAR methodologies. - , - Baltic Marine Environment Protection Commission - , - Published - , - Authors: Lars M. Svendsen Susanne Boutrup, S\u00f8ren Erik Larsen, Dmitry Frank- Kamenetsky, Michael Gauss, Bo Gustafsson, Juuso Haapaniemi, Katarina Hansson, Ilga Kokorite, Julian M\u00f6nnich, Natalia Oblomkova, Michael Pohl, Antti R\u00e4ike, Alexander Sokolov , Lars Sonesten, Henrik Tornbjerg - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2318", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2318", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2318", "url": "https:\/\/hdl.handle.net\/11329\/2318" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/401", "name": "An Oceanographers\u2019 and Marine Meteorologists\u2019 Cookbook for Submitting Data and Metadata in Real-time and Delayed Mode.", "description": " - There are many marine meteorological and oceanographic (met-ocean) observations which are not currently contributing to WMO and IOC Applications. Several reasons may explain the situation, including for example reluctance to make the data available due to data policies conflicting with the WMO and IOC ones, requirement for publishing scientific results based on the data before allowing data distribution, or lack of confidence in the data quality. However, in some cases, the data are simply not distributed because of the perceived complexity or lack of understanding of the platform operators and programme managers concerning the data systems, mechanisms, protocols and formats required in the WMO and IOC frameworks to achieve such exchange of the observations. The JCOMM Data Management Coordination Group (DMCG) identified a need to produce an Oceanographers\u2019 and Marine Meteorologists\u2019 Cookbook for Submitting Data and Metadata in Real-time and Delayed Mode, the \u201cCookbook\u201d. Its purpose is to provide the potential data providers with a complete and simple description of what\u2019s required to practically achieve the real-time and delayed mode exchange of met-ocean observations, together with the required observing platform and instrument metadata, through the appropriate data systems promoted by JCOMM, such as the WMO Information System (WIS) and its Global Telecommunication System (GTS), or the various Global Data Acquisition or Assembly Centres (GDACs) operated for specific ocean observing networks. The focus of the \u201cCookbook\u201d is on in situ, directly observed measurements, rather than on remote sensing data (e.g. from satellites). The \u201cCookbook\u201d documents the widely varying methods of submitting data and metadata in-real time and delayed-mode from all types of met-ocean observing platforms that contribute to JCOMM. Other types of data such as those of Automated Underwater Vehicles (AUVs) or animal tags are not yet addressed in this cookbook. The users of the \u201cCookbook\u201d are met-ocean observing platform operators. For example, the Data Buoy Cooperation (DBCP) Panel has a diverse community; platform operators, program managers, data users, model developers, platform manufactures, telecommunication service providers, to name a few who facilitate to operate variety of platforms and provide data to the Global Telecommunication System for broader public use. The \u201cCookbook\u201d was prepared by the DMCG with contributions from various actors and experts from the JCOMM Data Management (DMPA) and Observations Programme Areas (OPA). This is a living document and will be updated as required. The intent is to have frequent refreshes and additions to the document as users provide feedback and additional input. Some of the sections of this document are under construction and will be completed in due course. - , - Published - , - Contributors: Robert Keeley,;Hester Viola; Kelly Stroker; Scott Woodruff; Champika Gallage; Sissy Iona - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/401", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/401", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/401", "url": "https:\/\/hdl.handle.net\/11329\/401" }, "contributor": [ { "@type": "Organization", "name": "Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM)" } ], "keywords": [ "Global Telecommunications System (GTS)", "Real-time data", "Delayed mode data", "Gliders", "Drifting buoys", "Moored buoys", "Profiling floats", "Argo floats", "Instrument platforms", "Parameter Discipline::Atmosphere::Meteorology", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data acquisition", "Data Management Practices::Data delivery", "Data Management Practices::Data processing", "Data Management Practices::Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1783", "name": "Redes Colaborativas para o Monitoramento - Micropl\u00e1stico - Guia de pr\u00e1ticas para o monitoramento de micropl\u00e1stico em praias arenosas.", "description": " - This monitoring protocol for microplastics on sand beaches is carried out by Our Blue Hands project. It was adapted from the microplastics monitoring methodology of the European Union produced in 2013, from the University of Portsmouth (UK), by the Organization JustOneOcean and the AUSMAP project. The protocol has been replicated at several sites along the coast of Brazil and Cabo Verde since 2020. Our Blue Hands is a member of the Global Partnership for Marine platform Litter and thus represents a focal point in Combating Garbage at Sea in South America and Brazil, and it is based on collaboration and non-profit initiatives, lead by Carolina Moreira. - , - Published - , - Este protocolo de monitoramento de micropl\u00e1sticos em praias de areia \u00e9 realizado pelo projeto Our Blue Hands. Foi adaptado da metodologia de monitoramento de micropl\u00e1sticos da Uni\u00e3o Europeia produzida em 2013, da University of Portsmouth (UK), pela Organiza\u00e7\u00e3o JustOneOcean e o projeto AUSMAP. O protocolo tem sido replicado em v\u00e1rios locais ao longo da costa do Brasil e Cabo Verde desde 2020. O Our Blue Hands \u00e9 membro da Global Partnership for Marine Litter e, portanto, representa um ponto focal no Combate ao Lixo no Mar na Am\u00e9rica do Sul e Brasil. O projeto \u00e9 baseado em iniciativas de colabora\u00e7\u00e3o sem fins lucrativos, liderado por Carolina Moreira. - , - Current - , - 6 - , - 9 - , - 11 - , - 12 - , - 14 - , - 16 - , - 17 - , - Marine debris - , - Validated (tested by third parties) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1783", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1783", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1783", "url": "https:\/\/hdl.handle.net\/11329\/1783" }, "contributor": [ { "@type": "Organization", "name": "Our Blue Hands" } ], "keywords": [ "Marine debris", "Plastic pollution", "Microplastics", "Beach litter", "Marine litter", "Citizen science", "Anthropogenic contamination", "Data acquisition", "Data aggregation", "Data analysis", "Data archival\/stewardship\/curation", "Data exchange", "Data processing", "Data quality control", "Data transmission\/networking", "Data visualization", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1211", "name": "Monitoring and assessment guidelines for marine litter in Mediterranean MPAs. Technical report of the Interreg\/ MED\/AMARE project.", "description": " - As part of the AMARE project, the main purpose of this report is to provide advice and practical guidance, for establishing programmes to monitor and assess the distribution and abundance of marine litter in MPAs. The present document build on relevant existing monitoring and assessment practices in the Mediterranean, such as the existing monitoring practices in UNEP\/MAP and within the Marine Strategy Framework Directive. The proposed strategy (defining the sampling scheme, the environmental compartment to monitor and the protocols to be used) is also based on recommendations of the UN GESAMP report on monitoring marine litter (GESAMP, 2019). In addition, it is based on the experience of ongoing monitoring and assessment activities under various scientific projects, including in the Mediterranean Sea (CleanSea, Marelitt, Perseus, Marlisco, Ac4forlitter, INDICIT, MEDseaLitter, Plastic Buster MPA, PANACEA, Life projects, etc.), and also considers the available scientific literature. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1211", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1211", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1211", "url": "https:\/\/hdl.handle.net\/11329\/1211" }, "author": [ { "@type": "Person", "name": "Galgani, F." }, { "@type": "Person", "name": "Deidun, A." }, { "@type": "Person", "name": "Liubartseva, S." }, { "@type": "Person", "name": "Gauci, A." }, { "@type": "Person", "name": "Doronzo, B." }, { "@type": "Person", "name": "Brandini, C." }, { "@type": "Person", "name": "Gerigny, O." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer\/AMARE" } ], "keywords": [ "Marine litter", "Marine Protected Areas", "Monitoring", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2034", "name": "Safe working environments are key to improving inclusion in open-ocean, deep-ocean, and high-seas science.", "description": " - With growing acknowledgement of the need to address disparities in capacities to undertake open-ocean, deep-ocean, and high-seas scientific research, numerous global initiatives have been launched to make ocean science more inclusive, equitable, and accessible. Participation in offshore research cruises has emerged as a primary activity to achieve this. While admirable, the experiences of underrepresented groups in offshore science show that there needs to be a step change in approaches to ensure safety and inclusion. Instances where discrimination, bullying, harassment, and assault occur do not build capacity; instead, they perpetuate the fundamental inequities that should be addressed. Yet we do not hear about these experiences, and there is a need for conversations about how to ensure safe working spaces at sea. We propose steps to support inclusion and safety for underrepresented groups within offshore science. - , - Refereed - , - 5 - , - 10.2 - , - 14.a - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2034", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2034", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2034", "url": "https:\/\/hdl.handle.net\/11329\/2034" }, "author": [ { "@type": "Person", "name": "Amon, Diva J." }, { "@type": "Person", "name": "Filander, Zoleka" }, { "@type": "Person", "name": "Harris, Lindsey" }, { "@type": "Person", "name": "Harden-Davies, Harriet" } ], "keywords": [ "Health and safety", "Safety", "Inclusivity", "Diversity", "Field work", "Capacity develpment", "competencies", "Harassment", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2182", "name": "Characteristics of Low-Frequency Acoustic Wave Propagation in Ice-Covered Shallow Water Environment.", "description": " - Mastering the sound propagation law of low-frequency signals in the Arctic is a major frontier basic research demand to improve the level of detection, communication, and navigation technology. It is of practical significance for long-distance sound propagation and underwater target detection in the Arctic Ocean. Therefore, how to establish an effective model to study the characteristics of the acoustic field in the Arctic area has always been a hot topic in polar acoustic research. Aimed at solving this problem, a mathematical polar acoustic field model with an elastic seafloor is developed based on a range-dependent elastic parabolic equation theory. Moreover, this method is applied to study the characteristics of polar sound propagation for the first attempt. The validity and effectiveness of the method and model are verified by the elastic normal mode method. Simultaneously, the propagation characteristics of low-frequency signals are studied in a polar sound field from three aspects, which are seafloor parameters, sea depth, and ice thickness. The results show that the elastic parabolic equation method can be well utilized to the Arctic low-frequency acoustic field. The analysis of the influence factors of the polar sound field reveals the laws of sound transmission loss of low-frequency signals, which is of great significance to provide information prediction for underwater submarine target detection and target recognition. - , - Refereed - , - 14.a - , - Ocean sound - , - Pilot or Demonstrated - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2182", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2182", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2182", "url": "https:\/\/hdl.handle.net\/11329\/2182" }, "author": [ { "@type": "Person", "name": "Li, Shande" }, { "@type": "Person", "name": "Yuan, Shuai" }, { "@type": "Person", "name": "Liu, Shaowei" }, { "@type": "Person", "name": "Wen, Jian" }, { "@type": "Person", "name": "Huang, Qibai" }, { "@type": "Person", "name": "Zhang, Zhifu" } ], "keywords": [ "Elastic parabolic equation", "Polar acoustics", "Underwater acoustics", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/671", "name": "Chemical measurements in the Baltic Sea: guidelines on quality assurance.", "description": " - This document provides an introduction to quality issues, in general, and quality assurance in Baltic marine monitoring laboratories, in particular. The guidelines are intended to assist laboratories in starting up and operating their quality assurance systems. For laboratories with existing quality systems, the guidelines may give inspiration for issues that can be improved. The guidelines contain information for all levels of staff in the marine laboratory. Sections 1, 2, 3, and 6 together with Annexes B-1 (Quality manual) and B-3 (Quality audit) give guidance on organizational technical quality assurance principles that are relevant to administrative managers. Sections 1, 2, 5, and 6 with Annexes B-1 (Quality manual), B-6 (Reference materials), and B-3 (Quality audit), regarding the implementation and operation of a quality system, are the main sections of relevance for quality managers. For technical managers, all sections in the main part of the document are relevant. The guidelines provide technical managers with a description of the principles concerning how to introduce and maintain the technical aspects of quality assurance. It is believed that analysts will find all of the guidelines and annexes relevant regarding optimization of their analytical work. The applicability of the various annexes and, where applicable, their associated appendices, will, however, depend on the specific job description of each analyst. It is the intention of the guidelines that other members of the laboratory staff can find use for specific parts of the guidelines, e.g., Annex B-5 (Sampling), which contains principles in relation to sampling procedures and documentation. These guidelines have been prepared by the ICES\/HELCOM Steering Group on Quality Assurance of Chemical Measurements in the Baltic Sea (SGQAC)1 for use in association with the HELCOM Cooperative Monitoring in the Baltic Marine Environment (COMBINE) Programme, and the former Baltic Monitoring Programme. These QA guidelines have been 1 This document benefited from the contribution of several members of SGQAC, principally: Horst Gaul, Michael Gluschke, Uwe Harms, Sigfried Kreuger, Mikael Krysell, Elzbieta Lysiak- Pastuszak, Jill Merry, Ana-Liisa Pikkorainen, Christa Pohl, Elisabeth Sahlsten, Norbert Theobald, Peter Woitke, Jerzy Woron. II. Incorporated in the COMBINE Manual as Part B. Accordingly, in that manual, the section numbers of the main body of the guidelines have been prefixed by the letter B, which has not been carried over into this publication of the guidelines. The designation of the annexes with the letter B has, however, been used here. - , - Published - , - Refereed - , - Current - , - 14.A - , - Transient tracers - , - Mature - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/671", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/671", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/671", "url": "https:\/\/hdl.handle.net\/11329\/671" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Quality assurance", "Sample pre-treatment", "Temperature", "Salinity", "Nutrients", "Nitrate", "Phosphate", "Silicate", "Dissolved oxygen", "Oxygen saturation", "Trace metals", "Organochlorine pesticides", "Polychlorinated biphenyls", "PCBs", "DDT", "Polycyclic aromatic hydrocarbons", "PAHs", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1466", "name": "Guideline for Monitoring Marine Litter on the Beaches in the OSPAR Maritime Area. Edition 1.0.", "description": " - A guideline for monitoring marine litter on beaches has been developed by OSPAR as a tool to collect data on litter in the marine environment. This tool has been designed to generate data on marine litter according to a standardized methodology. A uniform way of monitoring allows for regional interpretation of the litter situation in the OSPAR area and comparisons between regions. The guideline has been designed in such a way that all OSPAR countries can participate, bearing in mind adequate quality assurance of the data generated. It is based on the method developed during the OSPAR pilot project 2000- 2006 and complimented with information derived from UNEP\u2019s own realisation of a worldwide guideline. The data collected according to the OSPAR guideline can be fed into the UNEP programme as the methods are compatible. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1466", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1466", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1466", "url": "https:\/\/hdl.handle.net\/11329\/1466" }, "author": [ { "@type": "Person", "name": "Wenneker, Barbara" }, { "@type": "Person", "name": "Oosterbaan, Lex" } ], "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Marine litter", "Plastic debris", "Marine plastics", "Beach pollution", "Monitoring survey", "OSPAR", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1239", "name": "Quality Assurance of Oceanographic Observations: Standards and Guidance Adopted by an International Partnership.", "description": " - Scientists who observe and distribute oceanographic data require a process to ensure high-quality data. This process includes quality assurance, quality control, quality assessment, standards, and best practices. In this paper, quality assurance is widely regarded as actions taken prior to instrument deployment to improve the probability of generating good data, while quality control is the effort made to examine the resultant data. Herein we focus on quality assurance and strive to guide the oceanographic community by identifying existing quality assurance best practices preferred by the five entities represented by the authors \u2013 specifically, the Alliance for Coastal Technology, the AtlantOS project, the Integrated Marine Observing System, the Joint Technical Commission for Oceanographic and Marine Meteorology, and the U.S. IOOS Quality Assurance\/Quality Control of Real-Time Oceanographic Data project. The focus has been placed on QA in response to suggestions from the AtlantOS and QARTOD communities. We define the challenges associated with quality assurance, which include a clear understanding of various terms, the overlap in meaning of those terms, establishment of standards, and varying program requirements. Brief, \u201creal-world\u201d case-studies are presented to demonstrate the challenges. Following this is a description of best practices gathered by the authors from hundreds of scientists over the many years or decades the aforementioned entities have been in place. These practices address instrument selection, preparation, deployment, maintenance, and data acquisition. Varying resources and capabilities are considered, and corresponding levels of quality assurance efforts are discussed. We include a comprehensive description of measurement uncertainty with a detailed example of such a calculation. Rigorous estimates of measurement uncertainty are surprisingly complex, necessarily specific, and not provided as often as needed. But they are critical to data users who may have applications not envisioned by the data provider, to ensure appropriate use of the data. The guidance is necessarily generic because of the broad expanse of oceanographic observations. Further, it is platform-agnostic and applies to most deployment scenarios. We identify the recently created Ocean Best Practice System as one means of developing, sharing, documenting, and curating more specific QA processes. Ultimately, our goal here is to foster their development and harmonization. - , - Refereed - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - , - 2019-10-26 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1239", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1239", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1239", "url": "https:\/\/hdl.handle.net\/11329\/1239" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Seitz, Steffen" }, { "@type": "Person", "name": "Buckley, Earle" }, { "@type": "Person", "name": "Tamburri, Mario" }, { "@type": "Person", "name": "Hermes, Juilet" }, { "@type": "Person", "name": "Heslop, Emma" }, { "@type": "Person", "name": "Lara-Lopez, Ana" } ], "keywords": [ "Quality assurance", "International standards", "Measurement uncertainty", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data quality management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/79", "name": "Voluntary Observing Ships (VOS) Climate Subset Project (VOSCLIM) - Project Document, Revision 2.", "description": " - This project document lists the primary objective is to provide a high-quality subset of marine meteorological data, with extensive associated metadata, to be available in both real time and delayed mode. Eventually, it is expected that the project will transform into a long-term, operational programme. Specifically, the project gives priority to the following parameters: wind direction and speed, sea level pressure, sea surface temperature, air temperature and humidity. Data from the project will be used: to input directly into air-sea flux computations, as part of coupled atmosphere-ocean climate models; to provide ground truth for calibrating satellite observations; and to provide a high-quality reference data set for possible re-calibration of observations from the entire VOS fleet. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-5-VOS-Project\/JCOMM-TR-5_2-VOS-Project-Document-Rev2.pdf - , - will be discussed at SOT V (May 2009).; VOSCLIM project will end, but be integrated in the wider VOS and procedures documented for appropriate WMO No. 471, 488, 544, 558. should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/79", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/79", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/79", "url": "https:\/\/hdl.handle.net\/11329\/79" }, "author": [ { "@type": "Person", "name": "Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology" } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Voluntary observing ships", "Ship observation", "Meteorological data", "Climate data", "Ocean-atmosphere system", "Voluntary observing ships" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2097", "name": "Referat af workshop med kommune og borgere om projektet \u201d\u00c5bne d\u00f8re for lokal viden\u201d", "description": " - Proceedings from Kick Off Workshop for the project \"Opening Doors to Native Knowledge\" or PISUNA (Piniakkanik Sumiiffinni Nalunaarsuineq). The workshop was held in Ilulissat, 11 Nov 2009 The Greenland Government with partners are pilot testing the use of locally based monitoring of natural resources as a tool for improving resource management in Qaasuitsup Municipality, North West Greenland. - , - Published - , - Current - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2097", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2097", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2097", "url": "https:\/\/hdl.handle.net\/11329\/2097" }, "contributor": [ { "@type": "Organization", "name": "NORDECO" } ], "keywords": [ "Resource monitoring", "Opening Doors to Native Knowledge", "Indigenous knowledge", "PISUNA", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1070", "name": "OGC KML 2.3, Version 1.0.", "description": " - KML is an XML grammar used to encode and transport representations of geographic data for display in an earth browser. Put simply: KML encodes what to show in an earth browser, and how to show it. KML uses a tag-based structure with nested elements and attributes and is based on the XML standard. The KML community is wide and varied. Casual users create KML Placemarks to identify their homes, describe journeys, and plan cross-country hikes and cycling ventures. Scientists use KML to provide detailed mappings of resources, models, and trends such as volcanic eruptions, weather patterns, earthquake activity, and mineral deposits. Real estate professionals, architects, and city development agencies use KML to propose construction and visualize plans. Students and teachers use KML to explore people, places, and events, both historic and current. Organizations such as National Geographic, UNESCO, and the Smithsonian have all used KML to display their rich sets of global data. KML documents and their related images (if any) may be compressed using the ZIP format into KMZ archives. KML documents and KMZ archives may be shared by e\u2011mail, hosted locally for sharing within a private internet, or hosted on a web server. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1070", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1070", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1070", "url": "https:\/\/hdl.handle.net\/11329\/1070" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1351", "name": "Model Protocol for the Management of Extreme Accumulations of Sargassum on the Coasts of CRFM Member States.", "description": " - The 26th Meeting of the CRFM Executive Committee noted the protocol developed for the management of extreme accumulations of Sargassum in Puerto Rico and considered the efficacy of such a protocol being considered for adoption and implementation by the CRFM. The Executive Committee noted that the protocol developed by Puerto Rico closely meets the current needs of the CRFM, based on geographical as well as social and economic realities; and, mindful of the concerns already expressed by the CRFM Ministerial Council, the Organisation of Eastern Caribbean States (OECS) Council of Ministers, CARICOM\u2019s Council on Trade and Economic Development (COTED) and CARICOM Heads of Government, endorsed the development a protocol for the management of extreme accumulations of Sargassum by the CRFM. The 14th Meeting of the Caribbean Fisheries Forum agreed that the Puerto Rico Sargassum protocol be used as a point of departure and modified where necessary to meet the needs of the region in respect to the establishment of a regional Sargassum protocol. The 10th Meeting of the CRFM Ministerial Council, held on 15 June 2016 in Montego Bay, Jamaica, supported the initiative to develop a regional (CRFM) protocol on the management of extreme accumulations of Sargassum seaweed in waters of Member States. The present model protocol is an adaptation, pursuant to the above direction, of that developed for Puerto Rico and is prepared in the form of a template that can be utilised by Member States; recognising, that there is significant variability in the institutional frameworks that obtain in and among the different States. Some measure of urgency was seen as driving this adaptation, not only consequent upon the abovementioned concerns, but also given predictions suggesting that the last week of July and the first week of August 2016 might have seen large Sargassum influxes into the islands of the Lesser Antilles. The model protocol has been developed as a template, which Member States will customize. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1351", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1351", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1351", "url": "https:\/\/hdl.handle.net\/11329\/1351" }, "contributor": [ { "@type": "Organization", "name": "Caribbean Regional Fisheries Mechanism" } ], "keywords": [ "Sargassum", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/780", "name": "Use of, Satisfaction with, and Requirements for In-Situ Nutrient Sensors. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-336]", "description": " - This study was conducted for the Alliance for Coastal Technologies (ACT) to gather data about the use of in-situ nutrient sensors. The study entailed a telephone survey of professionals in the coastal resources field, such as biologists, researchers, and coastal managers, who are currently involved in measuring nutrients. For the survey, telephones were selected as the preferred sampling medium because of the universality of telephone ownership. The telephone survey questionnaire was developed cooperatively by Responsive Management and the ACT. Responsive Management conducted a pre-test of the questionnaire, and revisions were made to the questionnaire based on the pre-test. Interviews were conducted Monday through Friday from 9:00a.m. to 9:00p.m., Saturday noon to 5:00p.m., and Sunday from 3:00p.m. to 9:00p.m., all local time. The survey was conducted in February 2005. Responsive Management obtained a total of 56 completed interviews. The software used for data collection was Questionnaire Programming Language 4.1. The analysis of data was performed using Statistical Package for the Social Sciences software as well as proprietary software developed by Responsive Management. - , - Published - , - Refereed - , - Superseded - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/780", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/780", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/780", "url": "https:\/\/hdl.handle.net\/11329\/780" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1476", "name": "Chlorophyll algorithms for ocean color sensors - OC4, OC5 & OC6.", "description": " - A high degree of consistency and comparability among chlorophyll algorithms is necessary to meet the goals of merging data from concurrent overlapping ocean color missions for increased coverage of the global ocean and to extend existing time series to encompass data from recently launched missions and those planned for the near future, such as PACE, OLCI, HawkEye, EnMAP and SABIA-MAR. To accomplish these goals, we developed 65 empirical ocean color (OC) chlorophyll algorithms for 25 satellite instruments using the largest available and most globally representative database of coincident in situ chlorophyll a and remote sensing reflectances. Excellent internal consistency was achieved across these OC \u2018Version -7\u2019 algorithms, as demonstrated by a median regression slope and coefficient of determination (R2) of 0.985 and 0.859, respectively, among 903 pairwise comparisons of OC-modeled chlorophyll. SeaWiFS and MODIS-Aqua satellite-to-in situ match-up results indicated equivalent, and sometimes superior, performance to current heritage chlorophyll algorithms. During the past forty years of ocean color research the violet band (412 nm) has rarely been used in empirical algorithms to estimate chlorophyll concentrations in oceanic surface water. While the peak in chlorophyllspecific absorption coincides with the 443 nm band present on most ocean color sensors, the magnitude of chlorophyll-specific absorption at 412 nm can reach upwards of ~70% of that at 443 nm. Nearly one third of total chlorophyll-specific absorption between 400 and 700 nm occurs below 443 nm, suggesting that bands below 443 nm, such as the 412 nm band present on most ocean color sensors, may also be useful in detecting chlorophyll under certain conditions and assumptions. The 412 nm band is also the brightest band (that is, with the most dominant magnitude) in remotely sensed reflectances retrieved by heritage passive ocean color instruments when chlorophyll is less than ~0.1 mgm\u22123, which encompasses ~24% of the global ocean. To attempt to exploit this additional spectral information, we developed two new families of OC algorithms, the OC5 and OC6 algorithms, which include the 412 nm band in the MBR. By using this brightest band in MBR empirical chlorophyll algorithms, the highest possible dynamic range of MBR may be achieved in these oligotrophic areas. The terms oligotrophic, mesotrophic, and eutrophic get frequent use in the scientific literature to designate trophic status; however, quantitative definitions in terms of chlorophyll levels are arbitrarily defined. We developed a new, reproducible, bio-optically based index for trophic status based on the frequency of the brightest, maximum band in the MBR for the OC6_SEAWIFS algorithm, along with remote sensing reflectances from the entire SeaWiFS mission. This index defines oligotrophic water as chlorophyll less than ~0.1 mgm\u22123, eutrophic water as chlorophyll above 1.67 mgm\u22123 and mesotrophic water as chlorophyll between 0.1 and 1.67 mgm\u22123. Applying these criteria to the 40-year mean global ocean chlorophyll data set revealed that oligotrophic, mesotrophic, and eutrophic water occupy ~24%, 67%, and 9%, respectively, of the area of the global ocean on average. - , - Refereed - , - 14.A - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1476", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1476", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1476", "url": "https:\/\/hdl.handle.net\/11329\/1476" }, "author": [ { "@type": "Person", "name": "O'Reilly, John E." }, { "@type": "Person", "name": "Werdell, P. Jeremy" } ], "keywords": [ "Satellite remote sensing", "Ocean colour", "Bio-optical algorithms", "Ocean optics", "Chlorophyll-a", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2521", "name": "BS EN 16695:2015. Water quality. Guidance on the estimation of phytoplankton biovolume.", "description": " - This European Standard specifies a procedure for the estimation of biovolume of marine and freshwater phytoplankton taxa using inverted microscopy (Uterm\u00f6hl technique according to EN 15204), in consideration of some heterotrophic protists (< 100 \u03bcm) that are not considered in routine zooplankton analysis and benthic microalgae, which can be found in pelagic water samples. This European Standard describes the necessary methods for measuring cell dimensions and for the calculation of cell or counting unit volumes to estimate the biovolume in phytoplankton samples. This shall be done using harmonized assignments of geometrical shapes to avoid errors. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2521", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2521", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2521", "url": "https:\/\/hdl.handle.net\/11329\/2521" }, "contributor": [ { "@type": "Organization", "name": "British Standards Institute (BSI)" } ], "keywords": [ "Cell dimensions", "Phytoplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1687", "name": "MEDIN data guideline for tidal elevation data. Version 2.0.", "description": " - This guideline defines the format of data and information produced from the observation and recording of tidal elevation data and corrections to specified bathymetry chart datum in support of Marine Hydrographic and Geophysical Survey. Used correctly the guideline facilitates easy use and reuse of the data. An Excel template is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1687", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1687", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1687", "url": "https:\/\/hdl.handle.net\/11329\/1687" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Hydrography", "Geology", "Tides", "Tidal Height", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/280", "name": "Manual on Codes - International Codes, Volume I.1: part A- Alphanumeric Codes. (2015: 2011 edition updated) [SUPERSEDED]", "description": " - Volume I of the Manual on Codes contains WMO international codes for meteorological data and other geophysical data relating to meteorology; it constitutes Annex II to the Technical Regulations (WMO - No. 49) and has therefore the status of a Technical Regulation. It is issued in three volumes: Volume I.1, containing Part A; Volume I.2, containing Part B and Part C; and Volume I.3 containing Part D. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/280", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/280", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/280", "url": "https:\/\/hdl.handle.net\/11329\/280" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Atmosphere", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/637", "name": "Evaluation of Immobilized Metal-Ion Affinity Chromatography and Electrospray Ionization Tandem Mass Spectrometry for Recovery and Identification of Copper(II)-Binding Ligands in Seawater Using the Model Ligand 8-Hydroxyquinoline.", "description": " - Complexation by organic ligands dominates the speciation of iron (Fe), copper (Cu), and other bioactive trace metals in seawater, controlling their bioavailability and distribution in the marine environment. Several classes of high-affinity Fe-binding ligands (siderophores) have been identified in seawater but the chemical structures of marine Cu-complexing ligands remain unknown. Immobilized metal-ion affinity chromatography (IMAC) allows Cu ligands to be isolated from bulk dissolved organic matter (DOM) in seawater and separated into fractions, which can be characterized independently using electrochemical and spectroscopic techniques. Attempts have been made to combine IMAC with electrospray ionization mass spectrometry (ESI-MS) to characterize marine Cu ligands, but results have proven inconclusive due to the lack of tandem mass spectrometry (MS\/MS) data to confirm ligand recovery. We used 8-hydroxyquinoline (8-HQ), a well-characterized model ligand that forms strong 1:2 metal:ligand complexes with Cu2+ at pH 8 (log \u03b22 = 18.3), to evaluate Cu(II)-IMAC and ESI-MS\/MS for recovery and identification of copper(II)-complexing ligands in seawater. One-liter samples of 0.45 \u03bcm-filtered surface seawater were spiked with 8-HQ at low concentrations (up to 100 nM) and fractionated by IMAC. Fractions eluted with acidified artificial seawater were desalted and re-suspended in methanol via solid-phase extraction (SPE) to obtain extracts suitable for ESI-MS analysis. Recovery of 8-HQ by Cu(II)-IMAC was confirmed unambiguously by MS\/MS and found to average 81% based upon accurate quantitation via multiple reaction monitoring (MRM). Cu(II)-IMAC fractionation of unspiked seawater using multiple UV detection wavelengths suggests an optimal fraction size of 2 mL for isolating and analyzing Cu ligands with similar properties. - , - Refereed - , - Best Practice - , - Standard Operating Procedure - , - 2016-05-31 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/637", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/637", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/637", "url": "https:\/\/hdl.handle.net\/11329\/637" }, "author": [ { "@type": "Person", "name": "Nixon, Richard L." }, { "@type": "Person", "name": "Ross, Andrew R.S" } ], "keywords": [ "Copper", "Organic ligands", "Organic complexes", "Immobilized metal-ion affinity chromatography", "Electrospray ionization tandem mass spectrometry", "Solid-phase extraction", "Parameter Discipline::Chemical oceanography::Metal and metalloid concentrations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2516", "name": "ISO 8245:1999. Guidelines for the determination of total organic carbon (TOC) and dissolved organic carbon (DOC). Edition 2. [Reviewed 2021]", "description": " - This International Standard gives guidance for the determination of total carbon (TC), total inorganic carbon (TIC) and total organic carbon (TOC) in drinking water, ground water, surface water, sea water and waste water. It also defines terms and specifies interferences, reagents, and sample pretreatment for water samples. The method described in this International Standard applies to water samples containing organic carbon content ranging from 0,3 mg\/l to 1000 mg\/l. The lower limit concentration is only applicable in special cases, for example drinking water, measured by highly sensitive instruments. Higher concentrations may be determined after appropriate dilution. This International Standard does not deal with the instrument-dependent specifications. Purgeable organic substances, such as benzene, toluene, cyclohexane and chloroform, can also be determined using this method. Cyanide, cyanate and particles of elemental carbon (soot), when present in the sample, can be determined together with the organic carbon. - , - Published - , - Refereed - , - Current - , - 14.a - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2516", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2516", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2516", "url": "https:\/\/hdl.handle.net\/11329\/2516" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Total carbon", "Total inorganic carbon", "Carbon, nitrogen and phosphorus", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/125", "name": "Electronic Chart Systems Ice Objects Catalogue. Version 4. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/135]", "description": " - sea ice; guides - , - A number of northern nations, particularly, Canada, Denmark, Germany, Norway, Russian Federation, the United States, and those bordering on the Baltic Sea, maintain Ice Services (for a complete list of national ice services refer to the WMO publication No.574 \"Sea Ice Information Services in the World\", 3rd edition, 2006), and issue ice charts on a regular basis during winter months. These ice charts are used on ships as an aid to navigation in ice infested waters, and as ECDIS becomes more widely available on ships navigating these northern waters, it will be important to provide ice data in a form that can be used in those systems. - , - http:\/\/www.jcomm-services.org\/modules\/documents\/documents\/si3_gdsidb11_Doc_2.6.4_Appendix_Ice_Objects_Catalogue.doc - , - ETSI to review - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/125", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/125", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/125", "url": "https:\/\/hdl.handle.net\/11329\/125" }, "author": [ { "@type": "Person", "name": "JCOMM Expert Team on Sea Ice (ETSI)" } ], "contributor": [ { "@type": "Organization", "name": "Canadian Ice Service" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1478", "name": "A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans.", "description": " - The need for more effective environmental monitoring of the open and coastal ocean has recently led to notable advances in satellite ocean color technology and algorithm research. Satellite ocean color sensors\u2019 data are widely used for the detection, mapping and monitoring of phytoplankton blooms because earth observation provides a synoptic view of the ocean, both spatially and temporally. Algal blooms are indicators of marine ecosystem health; thus, their monitoring is a key component of effective management of coastal and oceanic resources. Since the late 1970s, a wide variety of operational ocean color satellite sensors and algorithms have been developed. The comprehensive review presented in this article captures the details of the progress and discusses the advantages and limitations of the algorithms used with the multi-spectral ocean color sensors CZCS, SeaWiFS, MODIS and MERIS. Present challenges include overcoming the severe limitation of these algorithms in coastal waters and refining detection limits in various oceanic and coastal environments. To understand the spatio-temporal patterns of algal blooms and their triggering factors, it is essential to consider the possible effects of environmental parameters, such as water temperature, turbidity, solar radiation and bathymetry. Hence, this review will also discuss the use of statistical techniques and additional datasets derived from ecosystem models or other satellite sensors to characterize further the factors triggering or limiting the development of algal blooms in coastal and open ocean waters. - , - Refereed - , - 14.5 - , - Phytoplankton biomass and diversity - , - Ocean colour - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1478", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1478", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1478", "url": "https:\/\/hdl.handle.net\/11329\/1478" }, "author": [ { "@type": "Person", "name": "Blondeau-Patissier, David" }, { "@type": "Person", "name": "Gower, James F.R." }, { "@type": "Person", "name": "Dekker, Arnold G." }, { "@type": "Person", "name": "Phinn, Stuart R." }, { "@type": "Person", "name": "Brando, Vittorio E." } ], "keywords": [ "Harmful Algal Blooms", "Ocean colour", "Sensors", "Ocean colour remote sensing", "Satellite ocean colour", "Phytoplankton", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1511", "name": "SeaDataNet data management protocols for HF Radar data. WP9 - Deliverable D9.12. Version 1.6.", "description": " - This document specifies the QC standard procedures, the standard interoperable data and metadata format and the derived CDI metadata format for historical radial and total velocity data measured by HF Radars. These standard procedures and formats are necessary for the ingestion of historical HF Radar current data into SDN catalogues. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1511", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1511", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1511", "url": "https:\/\/hdl.handle.net\/11329\/1511" }, "author": [ { "@type": "Person", "name": "Corgnati, L." }, { "@type": "Person", "name": "Mantovani, C." }, { "@type": "Person", "name": "Novellino, A." }, { "@type": "Person", "name": "Jousset, S." }, { "@type": "Person", "name": "Cramer, R.N." }, { "@type": "Person", "name": "Thijsse, P." } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "HF Radar", "Parameter Discipline::Physical oceanography::Currents", "Data Management Practices::Data quality control", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2361", "name": "Modelled Mapping of Continuous Underwater Noise Generated by Activities.", "description": " - This report on underwater noise in the South marine plan areas has been prepared by ABP Marine Environmental Research Ltd (ABPmer) on behalf of the Marine Management Organisation (MMO). Quantification of underwater noise is a current and evolving topic in marine environmental science that is relevant to marine plan policy development. It is recognised that there is currently insufficient data to support a quantitative assessment of underwater noise levels and its impact on the natural environment at marine plan or national scale. This research and development work represents an initial step in addressing the recognised gap in availability of consistent plan scale indicative map(s) of anthropogenic underwater noise distribution and levels to support marine planning. A data and literature review of academic journals, government, non-government organisations and industry reports identified a wide range of marine noise sources. It found vessel traffic, fishinthis can be presented as g, and dredging to be the principle anthropogenic continuous noise sources relevant to the South plan areas. Indicative maps can inform sustainable development through improved awareness and consideration of continuous underwater noise in impact assessments, especially in relation to protected and commercially valuable species. This work resulted in the development of a reusable GIS tool that enables quantitative modelling of underwater noise by taking into consideration relevant quantification and transmission loss concepts. In addition the report identifies the principle sources of continuous anthropogenic marine noise. The report also documents the tool and how it can be used to produce improved indicative maps as new data becomes available. The GIS tool is based on a simple sound transmission model and produces a grid of annual exposure hours at different sound pressure levels; this can be presented as a spatial map or a frequency histogram for one or more grid cells. It uses noise source values identified in the literature review in combination with Automatic Identification System (AIS) shipping category density data, Electronic Monitoring System (EMS) aggregate dredging data and Vessel Monitoring System (VMS) fishing data which are consistent at the plan scale. The GIS tool outputs are indicative only and should not be used as a basis for specific environmental impact assessments. There are a number of limitations and caveats associated with the GIS tool output, these relate to output confidence in different conditions and the nature of the available source activity data. Several recommendations have been made for the further development of the GIS tool, these include updates that would allow the GIS tool to be used beyond the South marine plan areas, and additional work that would most effectively improve accuracy of the output. - , - Published - , - Current - , - 14.1 - , - 14.2 - , - Ocean sound - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2361", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2361", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2361", "url": "https:\/\/hdl.handle.net\/11329\/2361" }, "contributor": [ { "@type": "Organization", "name": "Marine Management Organisation" } ], "keywords": [ "Geographic Information System (GIS)", "Marine planning", "Underwater noise propopagation models", "Ambient noise", "Underwater sound", "Continous underwater noise", "Human activity", "Anthropogenic contamination", "Acoustics", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1817.2", "name": "Benthic Community Assessment Survey Field Protocols for U.S. Atlantic: Florida, Flower Garden Banks, Puerto Rico, and U.S. Virgin Islands 2024.", "description": " - The National Coral Reef Monitoring Program (NCRMP)\u2019s biological sampling provides a biennial ecological characterization of general reef condition for reef fishes, corals, and benthic habitat (i.e., fish species composition, density, and size; coral species composition, density, size, condition; and benthic community cover) at a broad spatial scale (CRCP 2021). In the U.S. Atlantic, NCRMP biological sampling includes coral reef and hardbottom habitats in Florida, Flower Garden Banks, Puerto Rico, and the U.S. Virgin Islands (USVI). NCRMP surveys at stratified random sites where the sampling domain for each geographic region is partitioned by habitat type and depth, sub-regional location (e.g., along- shelf position), and management zone. NCRMP provides data from a broader geographic context that complements a mosaic of regional and local (site-specific) coral reef monitoring. - , - NOAA Coral Reef Conservation Program Project #743 - , - Published - , - Refereed - , - Current - , - 14.a - , - Hard coral cover and composition - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1817.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1817.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1817.2", "url": "https:\/\/hdl.handle.net\/11329\/1817.2" }, "contributor": [ { "@type": "Organization", "name": "NOAA, National Coral Reef Monitoring Program (NCRMP)" } ], "keywords": [ "Benthic communities", "Coral", "BioICE", "IOOS Marine Life", "Biological oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2467", "name": "BALSAM Project 2013\u20102015: Recommendations and Guidelines for Benthic Habitat Monitoring with Method Descriptions for Two Methods for Monitoring of Biotope and Habitat Extent.", "description": " - Work package 6 of the BALSAM Project dealt with Baltic benthic habitat monitoring methods and programmes useful for the Marine Strategy Framework Directive (MSFD). This included both as-sessing the usefulness of monitoring methods, which are operational today, and suggesting new methods for filling the gaps for MSFD needs. This document describes the recommendations and guidelines for benthic habitat monitoring in the Baltic Sea, which have been developed within the BALSAM project. The work has been performed in cooperation between experts in Estonia, Latvia, Lithuania and Sweden with additional input from experts in Finland and Germany. A large number of survey methods were catalogued within this project and gaps in existing monitoring of benthic habitats in the Baltic Sea were identified (see the online monitoring manual as well as the first BALSAM interim report). In this report, we describe the use of drop-video and grab methods for monitoring habitat and bio-tope extent in shallow coastal waters of the Baltic Sea. The HELCOM Underwater Biotope and habitat classification (HELCOM HUB) is recommended for classification of benthic habitats. The HELCOM HUB system and relation to habitats listed in Habitats Directive Annex 1 are described in section 3. Section 4 first describes area based methods for habitat and biotope monitoring and lists proposed methods for monitoring extent for HUB-classes. Method descriptions for drop-video and simplified grab sampling with a small Van-Veen grab are provided. Recommendations on identification of HUB-classes (level 5) with these methods are also provided. Section 4.4 compares cost-effectiveness of the newly proposed methods (drop-video and simplified small grab) to the conventional benthic moni-toring methods (diving and grab sampling) using a large Van-Veen grab. Potential advantages of combined drop-video and grab surveys are discussed in section 4.5 and the applicability of an image recognition method for automated analysis of zoobenthos is evaluated in section 4.6. Recommendations on habitat monitoring in the Baltic Sea based on the proposed methods are pro-vided in section 5. Recommendations are given on aspects such as monitoring effort needed and sampling strategy based on statistical analyses performed on datasets collected in different areas. A widely applicable and easy-to-use common data format for exchange of data is proposed in section 6. Before launching monitoring programmes, baseline mapping surveys should be performed and back-ground information on the diversity of existing biotopes and their distribution obtained. Since this may require specific mapping surveys and spatial modelling using experience from numerous case studies described in the literature, this is not further reflected in this report. - , - European Commission DG Environment and project partners - , - Published - , - Authors: Nicklas Wijkmark, Karl Flor\u00e9n, Johan N\u00e4slund, Martin Ogonowski, Juris Aigars, Darius Daunys, Aleksej Saskov, Heidrun Fammler, Georg Martin, Katarina Oganjan Contributors: Alexander Darr, Kolja Beisigiel, Ville Karvinen, Mona Naeslund - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Pilot or Demonstrated - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2467", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2467", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2467", "url": "https:\/\/hdl.handle.net\/11329\/2467" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Benthic habitat monitoring", "BALSAM Project", "Survey methods", "Macroalgae and seagrass", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/818", "name": "Performance Verification Statement for the Aanderaa Instruments Inc. Dissolved Oxygen Optode 3830\/3930\/3835.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. To this end, the NOAA-funded Alliance for Coastal Technologies (ACT) serves as an unbiased, third party testbed for evaluating coastal sensors and sensor platforms for use in coastal environments. ACT also serves as a comprehensive data and information clearinghouse on coastal technologies and a forum for capacity building through workshops on specific technology topics (for more information visit www.act-us.info). This document summarizes the procedures used and results of an ACT Evaluation to verify manufacturer claims regarding the performance of the Aanderaa Dissolved Oxygen (DO) Optode 3830\/3930\/3835. Detailed protocols, including QA\/QC methods, are described in the Protocols for the ACT Verification of In Situ Dissolved Oxygen Sensors (ACT TV04-01), which can be downloaded from the ACT website (www.act-us.info\/tech_evalvations.php). Appendix 1. is an interpretation of the Performance Verification results from the manufacturer's point of view. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/818", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/818", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/818", "url": "https:\/\/hdl.handle.net\/11329\/818" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2096", "name": "Sample Preparation Manual for the Analysis of Plastic-related Pollutants.", "description": " - The occurrence of plastics in the natural environment has been reported from the most remote places on earth. As such, there is growing global concern about the potential human health impacts caused by plastic pollution and an urgency to implement effective actions to mitigate such pollution. International organisations have, therefore, called for the standardisation of methods for collecting data on plastic pollution. For example, in March 2019, UNEA noted the \u201cneed for high-quality data and effective monitoring\u2026 of marine litter, including plastic litter and microplastics, \u2026through harmonised methodologies, to enable better and more effective action.\u201d Information about microplastic particles in the environment, be it in water, air, sediment, or organisms, is being collected by many researchers, increasing our knowledge on the subject, and methods for collecting microplastic particles already exist. A good example is the guidelines for monitoring and assessing plastic litter and microplastics, written by the Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP). Information on emerging contaminants associated with microplastics, such as bisphenols and benzophenone UV-filters, is also being collected by researchers. However, to the best of my knowledge, there are no guidelines for the very first step in monitoring emerging contaminants \u2013 that is, the preparation of samples before they get analysed for these plastic-related contaminants, i.e. pollutants. This manual was, therefore, produced for two reasons. Firstly, to answer the call to harmonise methods, and secondly, to provide guidelines for preparing samples to be ready for analysis for emerging contaminants. This manual is aimed at African researchers with limited resources who may have English as a second language, if not third or fourth. It is, therefore, purposefully written in as simple language as possible, with many photographs showing all the steps to prepare samples for analysis carefully. The methods are set out clearly, in an orderly fashion, so that they can be followed by researchers who may not be familiar with sample preparation. It is hoped that the manual will become the standard guideline for researchers to use in their investigations of plastic-associated pollutants. This will not only improve our understanding of potential human health impacts resulting from plastic pollution but will also aid in filling the data gap that exists for this line of research in Africa. Dr Danica Marlin Head of Research at Sustainable Seas Trust - , - Ministry of Foreign Affairs, Norway; African Marine Waste Network (AMWN) programme for providing the operational aspects. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - 14.a - , - Concept - , - Organisational - , - International - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2096", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2096", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2096", "url": "https:\/\/hdl.handle.net\/11329\/2096" }, "author": [ { "@type": "Person", "name": "Fourie, Amarein" } ], "contributor": [ { "@type": "Organization", "name": "African Marine Waste Network, Sustainable Seas Trust" } ], "keywords": [ "Pollutants", "Bivalves", "Fish", "Plastic litter", "Marine debris", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/496", "name": "Manual for Real-Time Quality Control of Phytoplankton Data: A Guide to Quality Control and Quality Assurance for Phytoplankton Observations. Version 1.0.", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the ocean-observing community at large for the real-time QC of phytoplankton measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean-observing community and represents a contribution to a collection of core variable QC documents. Most operators provide real-time data on a provisional basis, alerting users that post-processing is required to validate their data. However, even these provisional data should be quality controlled. Data released in real time should be subjected to automated QC processes, which: 1) provide a quality-control indicator, 2) alert the operator when questionable or interesting data are presented, and 3) prevent the dissemination of unreliable data. These practices for sensor QC of phytoplankton data were developed by operators with experience using a variety of sensors and detection technologies. - , - NOAA - , - Published - , - Refereed - , - Current - , - Phytoplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/496", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/496", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/496", "url": "https:\/\/hdl.handle.net\/11329\/496" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::fluorometers", "Instrument Type Vocabulary::flow cytometers", "Instrument Type Vocabulary::high-speed plankton samplers", "Instrument Type Vocabulary::plankton counters", "Instrument Type Vocabulary::plankton recorders", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/477", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume 1. Introduction, Background and Conventions.", "description": " - Volume I: This volume covers perspectives on ocean color research and validation (Chapter 1), fundamental definitions, terminology, relationships and conventions used throughout the protocol document (Chapter 2), requirements for specific in situ observations (Chapter 3), and general protocols for field measurements, metadata, logbooks, sampling strategies, and data archival (Chapter 4). Chapters 1, 2 and 3 of Volume I correspond directly to Chapters 1, 2 and 3 of Revision 3 with no substantive changes. Two new variables, Particulate Organic Carbon (POC) and Particle Size Distribution (PSD) have been added to Tables 3.1 and 3.2 and the related discussion in Section 3.4; protocols covering these measurements will be added in a subsequent revision to Volume V (see below). Chapter 4 of Volume I combines material from Chapter 9 of Revision 3 with a brief summary of SeaBASS policy and archival requirements (detailed SeaBASS information in Chapter 18 and Appendix B of Revision 3 has been separated from the optics protocols). - , - Published - , - Current - , - Ocean colour - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/477", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/477", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/477", "url": "https:\/\/hdl.handle.net\/11329\/477" }, "author": [ { "@type": "Person", "name": "Mueller, J. L" }, { "@type": "Person", "name": "Austin, R.W." }, { "@type": "Person", "name": "Morel, A." }, { "@type": "Person", "name": "Fargion, G.S." }, { "@type": "Person", "name": "McClain, C.R." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center" } ], "keywords": [ "Ocean colour", "Conventions", "In-situ observations", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/751", "name": "Use of, Satisfaction with, and Requirements for in situ pH Sensors.", "description": " - The fundamental goal of this survey was to assess user needs and applications and to provide the focus for an Alliance for Coastal Technologies (ACT, www.act-us.info) Technology Veri\ufb01cation of in situ pH sensors. The Customer Needs and Use Assessment strives to better understand how pH sensors are used. We hope this information can also assist manufacturers in re\ufb01ning pH sensor technologies to better address user priorities.From 6 October 2011 to 9 February 2012, ACT conducted a web-based survey to aid in a Customer Needs and Use Assessment of pH sensors. ACT Headquarters and Partner personnel developed the questionnaire. SurveyMonkey.com provided the web-based survey tool. The survey contained a total of twenty-seven questions (listed below along with their responses), divided into three sections: Application, Speci\ufb01cations, and Recommendations.Survey participants included both colleagues and vendors. Colleagues were asked to consider the primary in situ pH sensor(s) they used when responding to each question. Unaware if any speci\ufb01c vendor (sensor manufacturer) had its own proprietary statistics collected already, vendors were simply asked to summarize what they felt were the perspectives of their \u201ctypical\u201d customers. All participants received emailed requests to participate in this online survey and two follow-up reminders To assure broad geographic coverage, regional outreach personnel at the six ACT Partner Institutions and members of the Technical Advisory committee nominated participants based on their professional interests, background, and expertise. Approximately 173 coastal resource managers, regulatory and environmental health agency representatives, manufacturers, and scienti\ufb01c researchers were targeted to take part in the survey; 24% responded. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/751", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/751", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/751", "url": "https:\/\/hdl.handle.net\/11329\/751" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2536", "name": "ISO 10260:1992. Water quality \u2014 Measurement of biochemical parameters \u2014 Spectrometric determination of the chlorophyll-a concentration. Edition 1. [Reviewed 2022]", "description": " - The procedure specified can be applied for phytoplankton in natural surface waters and for testing algal growth in bio-assays. Using appropriate sampling it can also be applied to phytobenthic communities. The principle is collection of algae by filtration, extraction of algal pigments, spectrometric determination of the chlorophyll-a concentration in the extract, evaluation of the chlorophyll-a and phaeopigment concentration from the difference of absorbance at 665 nm prior to and after acidification of the extract. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean colour - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2536", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2536", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2536", "url": "https:\/\/hdl.handle.net\/11329\/2536" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Spectrometric determination", "Chlorophyll a", "Phytoplankton", "Algae", "Phytoplankton", "spectrophotometers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/631", "name": "Computational techniques for tidal datums handbook.", "description": " - This handbook is intended to provide education and training for both internal and external audiences to NOAA. It presents the National Ocean Service (NOS) methodology for the computation of tidal datums and explains how to use the Center for Operational Oceanographic Products and Services (CO-OPS) water level data and bench mark information available on the internet for tidal datum computations. Fundamental background for tide measurement and data processing is also reviewed. Detailed descriptions of tidal datum procedures, the background mathematical formulas, and example spreadsheets are interwoven in the various sections. The handbook is designed to be both a technical reference and a guidance document for the practical determination of tidal datums using tide gauge measurements. It does not present methods for surveying, or address the problems associated with instrument installation, calibration, data collection, or quality assurance of water level data. Nor does it present specific algorithms for computation, or recommend what software packag es should be used. However, a knowledgeable coastal engineer or scientist should be able to follow the key steps and arrive at the same results posted on the CO-OPS website (http:\/\/www.tidesandcurrents.noaa.gov). 1.2 Statement of Philosophy The philosophy of this handbook is that fairly simple, straight-forward examples should be presented. CO-OPS is confident that coastal engi neers will be able to compute datums similar to these \u201cstraight-forward\u201d examples using this ma nual. The emphasis is on education and training, illustrated by clear real-world examples of tidal datum calculations. By reading this material, coastal engineers and surveyors will gain an understanding of how to reduce the data that they may have collected themselves, and gain necessary skills to handle more difficult cases. The datum computational methods described in this handbook produce valid datums where the tidal conditions and tide station locations for datum determinati on are straightforward. Difficult cases should be referred to CO-OPS for consultation. These cases might include project areas of rapidly changing tidal characteristics either temporally or geogr aphically, measurements collected during extreme events, cases of poor data, data records with too many gaps, or poor station coverage. Additional special cases that may render the methods not applicable include situations where the astronomic tide is frequently masked by non-tidal effects (such as areas where wind-driven water level variations dominate and areas affected by river runoff); and where man-made structures (such as locks or water gates) affect the water level variations. 1.3 Prerequisite Knowledge The reader will need to possess a mathematical understanding of means, standard deviations, differences, and errors. The reader should posse ss knowledge of suitable computer software such as spreadsheet programs, and have an internet browser and should have some basic scientific knowledge of tides and water levels, and some know ledge of the legal and practical significance of tidal datums (e.g, NOS, 2000). - , - Published - , - The first draft of this document was prepared by John Schultz and Briah Connor under contract to Neptune Sciences, Inc. Subsequent revisions were the result reviews of several oceanographers in the Center for Operational Products and Services (CO-OPS) and the results of practical use by external users of the first draft. - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/631", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/631", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/631", "url": "https:\/\/hdl.handle.net\/11329\/631" }, "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2382", "name": "INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119. Version 1.3.", "description": " - According to Article 5(1) of Directive 2007\/2\/EC, Member States shall ensure that metadata are created for the spatial data sets and services corresponding to the themes listed in Annexes I, II and III, and that those metadata are kept up to date. According to Article 5(4) of Directive 2007\/2\/EC, Implementing Rules shall be adopted taking account of relevant, existing international standards and user requirements. In the context of metadata for spatial data and spatial data services, the standards EN ISO 19115, EN ISO 19119, and ISO 15836 (Dublin Core) have been identified as important standards. Commission Regulation (EC) No. 1205\/2008 implementing Directive 2007\/2\/EC of the European Parliament and of the Council as regards metadata was adopted on of 3rd December 2008, and published on the Official Journal of the European Union on 4th December (OJ L 326, 4.12.2008, p. 12\u201330). Any reference in this document to \u201cImplementing Rules for Metadata\u201d refers to the above-mentioned Regulation. The Regulation sets out the requirements for the creation and maintenance of metadata for spatial data sets, spatial data set series and spatial data services corresponding to the themes listed in Annexes I, II and III to Directive 2007\/2\/EC. It defines a number of metadata elements, their multiplicities and the value domains to be used in the metadata. NOTE 1 The metadata elements defined in the Implementing Rules for Metadata are usually called discovery metadata. In addition to these requirements, Commission Regulation (EU) No 1089\/2010 of 23 November 2010 implementing Directive 2007\/2\/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services (OJ L 323, 08\/12\/2010, p. 11\u2013102) and its sub-sequent amendments1,2 define six additional metadata elements for interoperability as well as some theme-specific requirements for the discovery metadata elements. Any reference in this document to \u201cImplementing Rules for interoperability of spatial data sets and services\u201d refers to the above-mentioned Regulation. NOTE 2 The metadata elements defined in the Implementing Rules for interoperability of spatial data sets and services are also sometimes referred to as evaluation and use metadata. The aim of this document is to define how the requirements of the Implementing Rules for Metadata can be implemented using EN ISO 19115 and EN ISO 19119. The following subsections describe for each element of the Implementing Rules its relation with the mentioned European standards. Furthermore, Annex B provides an overview of the additional metadata elements and requirements defined in the Implementing Rules for interoperability of spatial data sets and services as well as pointers to the INSPIRE Data Specifications, which provide guidance and recommendations for their implementation. This version 1.3 of the Technical Guidelines clarifies some aspects of the implementation of the discovery metadata elements based on the experience built during the period of implementation 2010-13. It also includes an overview of the Metadata elements for Evaluation and Use defined in the INSPIRE Implementing Rules for the Interoperability of Spatial Datasets and Services - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2382", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2382", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2382", "url": "https:\/\/hdl.handle.net\/11329\/2382" }, "contributor": [ { "@type": "Organization", "name": "European Commission Joint Research Centre" } ], "keywords": [ "Metadata discovery", "Spatial data", "Cross-discipline", "Metadata management", "Data archival\/stewardship\/curation", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1005", "name": "OGC Coverage Implementation Schema, Version 1.1.", "description": " - Coverages represent homogeneous collections of values located in space\/time, such as spatio-temporal sensor, image, simulation, and statistics data. Common examples include 1-D timeseries, 2-D imagery, 3-D x\/y\/t image timeseries and x\/y\/z geophysical voxel models, as well as 4-D x\/y\/z\/t climate and ocean data. Generally, coverages encompass multi-dimen\u00adsional regular and irregular grids, point clouds, and general meshes. This Coverage Implementation Schema (CIS) specifies the OGC coverage model by establishing a concrete, interoperable, conformance-testable coverage structure. It is based on the abstract concepts of OGC Abstract Topic 6 [1] (which is identical to ISO 19123) which spec\u00adi\u00adfies an abstract model which is not per se interoperable \u2013 in other words, many different and incompatible implementations of the abstract model are possible. CIS, on the other hand, is interoperable in the sense that coverages can be conformance tested, regardless of their data format encoding, down to the level of single \u201cpixels\u201d or \u201cvoxels.\u201d Coverages can be encoded in any suitable format (such as GML, JSON, GeoTIFF, or Net\u00adCDF) and can be partitioned, e.g., for a time-interleaved representation. Coverages are independent from service definitions and, therefore, can be accessed through a variety of OGC services types, such as the Web Coverage Service (WCS) Standard [8]. The coverage structure can serve a wide range of coverage application domains, thereby contributing to harmon\u00adization and interoperability between and across these domains. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1005", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1005", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1005", "url": "https:\/\/hdl.handle.net\/11329\/1005" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1302", "name": "A High Spatial Resolution FBG Sensor Array for Measuring Ocean Temperature and Depth.", "description": " - Exploring and understanding the ocean is an important field of scientific study. Acquiring accurate and high-resolution temperature and depth profiles of the oceans over relatively short periods of time is an important basis for understanding ocean currents and other associated physical parameters. Traditional measuring instruments based on piezoelectric ceramics have a low spatial resolution and are not inherently waterproof. Meanwhile, sensing systems based on fiber Bragg grating (FBG) have the advantage of facilitating continuous measurements and allow multi-sensor distributed measurements. Therefore, in this paper, an all-fiber seawater temperature and depth-sensing array is used to obtain seawater temperature and depth profiles. In addition, by studying the encapsulation structure of the FBG sensors, this paper also solves the problem of the measurement error present in traditional FBG sensors when measuring seawater temperature. Through a theoretical analysis and seaborne test in the Yellow Sea of China, the sampling frequency of the all-fiber seawater temperature and depth profile measurement system is 1 Hz, the accuracy of the FBG sensors reaches 0.01 \u2103, and the accuracy of the FBG depth sensors reaches 0.1 % of the full scale. The resulting parameters for these sensors are therefore considered to be acceptable for most survey requirements in physical oceanography. - , - Refereed - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1302", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1302", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1302", "url": "https:\/\/hdl.handle.net\/11329\/1302" }, "author": [ { "@type": "Person", "name": "Wang, Li" }, { "@type": "Person", "name": "Wang, Yongjie" }, { "@type": "Person", "name": "Wang, Jianfeng" }, { "@type": "Person", "name": "Li, Fang" } ], "keywords": [ "Fiber Bragg grating", "Temperature-depth profile", "Cross-sensitivity", "Seaborne test verification", "Parameter Discipline::Physical oceanography::Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1660", "name": "CTD General Practices: System Description, Deployment, Data Aquisition, & Maintenance.", "description": " - Since 1993, the CalCOFI program has deployed a Seabird 911 CTD mounted on a 24-bottle rosette during seasonal, quarterly cruises off California. The CTD-rosette is lowered into the ocean to 515m, depth-permitting, on 75 hydrographic stations using the ship's conductive-wire winch. Data from the sensors are transmitted up the conductive wire and displayed real-time on a data acquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality plus measure additional properties. Processed CTD sensor data are compared to the seawater sample data and corrected when necessary. Preliminary data are available on CalCOFI's website, calcofi.org, while the cruise is at sea when internet is available. Preliminary processed data files are online shortly after the cruise returns. Final, publication-quality bottle & CTD data are available once the bottle data have been fully processed & scrutinized. - , - Published - , - Refereed - , - Current - , - 14.a - , - Subsurface temperature - , - Sea surface temperature - , - Mature - , - Multi-organisational - , - CTD Seabird 911 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1660", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1660", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1660", "url": "https:\/\/hdl.handle.net\/11329\/1660" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "CTD rosette", "Water column temperature and salinity", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2599", "name": "Marine sampling field manual for microplastics.", "description": " - An increasing number of organisations are undertaking research, monitoring, and data collection on the presence of plastic contamination in the environment. This information is essential for establishing baseline data to support the establishment of indicators and targets for decision-making to mitigate plastic contamination. Recognising the imperative need for improved data harmonisation, there is a requirement to develop standardised approaches to allow reliable data comparison. This includes developing sets of reproducible practices and guidelines, covering all steps from sample collection, processing, laboratory procedures, and plastic characterisation. It also includes ensuring consistent terminology and data reporting parameters. This manual is part of a suite of marine sampling field manuals that aim to facilitate reliable data comparisons across regions, and national and international collections, by implementing reproducible and comprehensive guidelines, covering all steps from sample collection, processing, laboratory procedures, and plastic characterisation. The approaches in these manuals provide methods for collecting data that are endorsed by researchers, managers, and technicians from multiple agencies with a variety of experience and subject-matter expertise. The manuals follow the FAIR Guiding Principles for scientific data (Wilkinson et al., 2016), aiming to be findable, accessible, interoperable and reusable. See Chapter 1 and Przeslawski et al. (2023) for a description of the process undertaken to develop these manuals. This manual focuses on microplastics in water, sediment, biota and air matrices, and spans everything from sampling design, sample collection, processing and laboratory procedures, and plastics characterisation (i.e., size, type, polymer composition). It establishes recommended terminology and makes a distinction between essential and desirable data reporting parameters needed to guarantee accurate, efficient and standardised approaches to microplastic analysis in the environment. It also includes a checklist to facilitate reporting. Aligned with international guidelines, such as those set by the Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP) (GESAMP, 2019) the manual is divided into four sections, each dedicated to a specific environmental matrix (Sediment, Water, Air, and Biota). Such information is critical for establishing consistent guidelines in the collection and processing of microplastic data from different environments, enabling scientifically robust comparisons between studies, sites, projects, and organisations at a national level. - , - National Environmental Science Programme - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2599", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2599", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2599", "url": "https:\/\/hdl.handle.net\/11329\/2599" }, "author": [ { "@type": "Person", "name": "Wootton, Nina" }, { "@type": "Person", "name": "Reis-Santos, Patrick" }, { "@type": "Person", "name": "Tanveer, Adyel" }, { "@type": "Person", "name": "Blewitt, Michelle" }, { "@type": "Person", "name": "Clarke, Brad" }, { "@type": "Person", "name": "Crutchett, Thomas" }, { "@type": "Person", "name": "Hamann, Mark" }, { "@type": "Person", "name": "Hardesty, Britta Denise" }, { "@type": "Person", "name": "Lavers, Jennifer L." }, { "@type": "Person", "name": "Leterme, Sophie" }, { "@type": "Person", "name": "Leusch, Frederic" }, { "@type": "Person", "name": "Lynch, Sam" }, { "@type": "Person", "name": "Motti, Cherie" }, { "@type": "Person", "name": "O'Brien, Allyson" }, { "@type": "Person", "name": "Okoffo, Elvis" }, { "@type": "Person", "name": "Kushani, Perera" }, { "@type": "Person", "name": "Puskic, Peter" }, { "@type": "Person", "name": "Razzell Holls, Joseph" }, { "@type": "Person", "name": "Roman, Lauren" }, { "@type": "Person", "name": "Santana, Marina F.M." }, { "@type": "Person", "name": "Snigirova, Anastasiia" }, { "@type": "Person", "name": "Tuuri, Elise M" }, { "@type": "Person", "name": "Wilson, Scott" }, { "@type": "Person", "name": "Ziajahromi, Shima" }, { "@type": "Person", "name": "Gillanders, Bronwyn" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Microplastics", "Plastic litter", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1436", "name": "Using Optical Sensors on Gliders to Estimate Phytoplankton Carbon Concentrations and Chlorophyll-to-Carbon Ratios in the Southern Ocean.", "description": " - One approach to deriving phytoplankton carbon biomass estimates (Cphyto) at appropriate scales is through optical products. This study uses a high-resolution glider data set in the Sub-Antarctic Zone (SAZ) of the Southern Ocean to compare four different methods of deriving Cphyto from particulate backscattering and fluorescence-derived chlorophyll (chl-a). A comparison of the methods showed that at low (<0.5mg m\u22123) chlorophyll concentrations (e.g., early spring and at depth), all four methods produced similar estimates of Cphyto, whereas when chlorophyll concentrations were elevated one method derived higher concentrations of Cphyto than the others. The use of methods derived from particulate backscattering rather than fluorescence can account for cellular adjustments in chl-a:Cphyto that are not driven by biomass alone. A comparison of the glider chl-a:Cphyto ratios from the different optical methods with ratios from laboratory cultures and cruise data found that some optical methods of deriving Cphyto performed better in the SAZ than others and that regionally derived methods may be unsuitable for application to the Southern Ocean. A comparison of the glider chl-a:Cphyto ratios with output from a complex biogeochemical model shows that although a ratio of 0.02mg chl-a mg C\u22121 is an acceptable mean for SAZ phytoplankton (in spring-summer), the model misrepresents the seasonal cycle (with decreasing ratios from spring to summer and low sub-seasonal variability). As such, it is recommended that models expand their allowance for variable chl-a:Cphyto ratios that not only account for phytoplankton acclimation to low light conditions in spring but also to higher optimal chl-a:Cphyto ratios with increasing growth rates in summer. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1436", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1436", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1436", "url": "https:\/\/hdl.handle.net\/11329\/1436" }, "author": [ { "@type": "Person", "name": "Thomalla, Sandy J." }, { "@type": "Person", "name": "Ogunkoya, A. Gilbert" }, { "@type": "Person", "name": "Vichi, Marcello" }, { "@type": "Person", "name": "Swart, Sebastiaan" } ], "keywords": [ "Phytoplankton carbon", "Chlorophyll to carbon ratios", "Particulate backscattering", "Parameter Discipline::Biological oceanography::Phytoplankton", "Gliders", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/820", "name": "Performance Verification Statement for the In-Situ Inc. Dissolved Oxygen RDO Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. To this end, the NOAA-funded Alliance for Coastal Technologies (ACT) serves as an unbiased, third party testbed for evaluating coastal sensors and sensor platforms for use in coastal environments. ACT also serves as a comprehensive data and information clearinghouse on coastal technologies and a forum for capacity building through workshops on specific technology topics (for more information visit www.act-us.info). This document summarizes the procedures used and results of an ACT Evaluation to verify manufacturer claims regarding the performance of the In-Situ RDO dissolved oxygen optode. Detailed protocols, including QA\/QC methods, are described in the Protocols for the ACT Verification of In Situ Dissolved Oxygen Sensors (ACT TV04-01), which can be downloaded from the ACT website (www.actus.info\/tech_evalvations.php). Appendix 1. is an interpretation of the Performance Verification results from the manufacturer's point of view. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/820", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/820", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/820", "url": "https:\/\/hdl.handle.net\/11329\/820" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2591", "name": "Environmental test methods for oceanographic instruments - Part 1: General.", "description": " - This part of GB\/T 32065 specifies the test atmosphere conditions, test equipment, test samples, test interruption handling, marine instrument classification and test item selection, test sequence and numerical value meaning of environmental tests for marine instruments. This standard is applicable to the laboratory environment test of marine instruments. It is also used as a reference for laboratory environment tests of marine instrument parts and components. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2591", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2591", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2591", "url": "https:\/\/hdl.handle.net\/11329\/2591" }, "author": [ { "@type": "Person", "name": "Pang, Yongchao" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2426", "name": "Sea Change Project, Deliverable D5.4: Roadmap for effective science-society-policy interface in the field of ocean governance.", "description": " - The purpose of this report is to present the Sea Change roadmap for a more efficient science-society-policy interface to support ocean governance. The roadmap is the result of the work undertaken in task 5.3, and it builds on the consultation process with governance actors undertaken in task 5.2. The main objective of Work Package (WP)5 was to research and develop effective tools and methods for establishing a science-society-policy interface (SPI), by using ocean literacy tools and approaches, in order to support policy-making and governance of the ocean in the most effective ways possible. In order to do so it was important to understand the problems to be faced, and the issues at stake. For this reason, it was decided to consult directly those involved in the decision and policy-making processes. The main objective of the consultation was to understand what factors would lead to a change in the way science, society and policy work together to solve a marine issue. It was decided to concentrate on marine litter, as one of the most pressing marine issues. G7 leaders acknowledged \u2018that marine litter, in particular plastic litter, poses a global challenge, directly affecting marine and coastal life and ecosystems and potentially also human health\u2019. Descriptor 10 of the Marine Strategy Framework Directive (MSFD) focuses on marine litter, stating that Good Environmental Status (GES) is achieved only when \"properties and quantities of marine litter do not cause harm to the coastal and marine environment\". Finally, the first target of the Sustainable Development Goal (SDG) 14 focuses on marine pollution: By 2025, prevent and significantly reduce marine pollution of all kinds, in particular from land-based activities, including marine debris and nutrient pollution. The aim of the WP5 consultations was to depict, map and visualise governance issues and systems for Marine Litter, as they are perceived by governance actors using a technique known as Fuzzy Cognitive Mapping (FCM). FCM, in the governance consultations, involved governance actors in active, direct participation for Sea Change. Governance consultations in WP5 fostered social learning and understanding of the system \u2018with\u2019 governance actors rather than on their behalf. A consultation protocol was developed (McHugh, P., Domegan, C. and Santoro, F. (2016) Sea Change Co-Creation Participation Protocol for Work Package 5 - Governance, EU Sea Change Project) with WP2 leaders, and a total of 15 governance actors from Belgium, Ireland, Portugal and Members of the European Parliament were interviewed. The results of the analysis of the FCMs, together with the partners\u2019 expert judgment, led to the identification of the four priority areas of action of the Sea Change Roadmap for Science-Society-Policy Interface (SSPI) in the field of Ocean Governance. - , - European Union H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2426", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2426", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2426", "url": "https:\/\/hdl.handle.net\/11329\/2426" }, "author": [ { "@type": "Person", "name": "Santoro, F." }, { "@type": "Person", "name": "Atger, E." }, { "@type": "Person", "name": "Chicote, C." }, { "@type": "Person", "name": "Cooney, E." }, { "@type": "Person", "name": "Lincoln, S." }, { "@type": "Person", "name": "Murphy, D." }, { "@type": "Person", "name": "Papathanassiou, M." }, { "@type": "Person", "name": "Seys, J." }, { "@type": "Person", "name": "Sterken, M." } ], "contributor": [ { "@type": "Organization", "name": "Sea Change Project" } ], "keywords": [ "Science and society", "Science policy interface", "Ocean governance", "Administration and dimensions", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/471.2", "name": "Marine Sampling Field Manual for Pelagic Stereo BRUVS (Baited Remote Underwater Videos) [Version 3].", "description": " - This manual relates to gear designed to acquire digital video imagery of macro-organisms living in the ocean\u2019s water column, from small zooplankton (Letessier et al. 2013a) to marine mega-vertebrates (Letessier et al. 2014). A sister chapter on benthic BRUVs is included in the field package and addresses sampling protocols for demersal fish and shark assemblages (Chapter 5). The document aims to span everything from pre-survey planning to equipment preparation, field procedures, and on-board data acquisition to guarantee the efficient and correct use of pelagic BRUVs as monitoring tools in Australian Marine Parks (AMPs) and other Commonwealth waters. Such information is critical for supporting the development of consistent, concise, transparent and standardised guidelines in the collection and processing of pelagic BRUV data that can allow statistically robust comparisons between studies, sites, projects, and institutions. Here, we consider both mono- and stereo-BRUVs7. While the latter can be calibrated to allow measurements of individuals\u2019 body lengths and animal positions in three-dimensional space (Letessier et al. 2015), the former seems to remain a more prevalent approach in the literature due to lower costs and personnel\/labour requirements (Whitmarsh et al. 2017). It is worth noting that other imagery-based methods such as mid-water towed video transects (Riegl et al. 2001), in-trawl cameras (Underwood et al. 2014), drop cameras (Friedlander et al. 2014), infrared thermography (Zitterbart et al. 2013), unmanned aerial vehicles (Kiszka et al. 2016), or diver operated videos (Goetze et al. 2015) are also available for monitoring pelagic environments and wildlife. These would each warrant a field manual in their own right (Mallet & Pelletier 2014), and are thus not included here (for further information, see Bouchet et al. 2017). - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Fish abundance and distribution - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/471.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/471.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/471.2", "url": "https:\/\/hdl.handle.net\/11329\/471.2" }, "author": [ { "@type": "Person", "name": "Bouchet, P." }, { "@type": "Person", "name": "Meeuwig, J." }, { "@type": "Person", "name": "Huveneers, C." }, { "@type": "Person", "name": "Langlois, T." }, { "@type": "Person", "name": "Letessier, T." }, { "@type": "Person", "name": "Lowry, M." }, { "@type": "Person", "name": "Rees, M." }, { "@type": "Person", "name": "Santana-Garcon, J." }, { "@type": "Person", "name": "Scott, M." }, { "@type": "Person", "name": "Taylor, M." }, { "@type": "Person", "name": "Thompson, C." }, { "@type": "Person", "name": "Vigliola, L." }, { "@type": "Person", "name": "Whitmarsh, S." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Pre-survey preparations", "Post-survey procedures", "Field procedures", "Baited Remote Underwater Videos (BRUVs)", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data processing", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/339", "name": "Guide to best practices for ocean acidification research and data reporting. [reprinted edition including erratum]", "description": " - Ocean acidification is an undisputed fact. The ocean presently takes up one-fourth of the carbon CO2 emitted to the atmosphere from human activities. As this CO2 dissolves in the surface ocean, it reacts with seawater to form carbonic acid, increasing ocean acidity and shifting the partitioning of inorganic carbon species towards increased CO2 and dissolved inorganic carbon, and decreased concentration of carbonate ion. Since the beginning of the industrial revolution in the 18th century, surface-ocean acidity has gone up by 30%. The current increase in ocean acidity is a hundred times faster than any previous natural change that has occurred over the last many millions of years. In the case of unabated CO2 emissions the level of ocean acidity will increase to three times the preindustrial level by the end of this century. Recovery from this large and rapid perturbation will require tens of thousands of years. While our understanding of the possible consequences of ocean acidifi cation is still rudimentary, both the scientific community and the society at large are increasingly concerned about the possible risks associated with ocean acidification for marine organisms and ecosystems. - , - Inorganic carbon - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/339", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/339", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/339", "url": "https:\/\/hdl.handle.net\/11329\/339" }, "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "CO2", "Carbon dioxide", "Ocean acidification", "Air sea interaction", "Ocean atmosphere system", "Carbonate chemistry", "Benthic communities", "Data management", "European Project on Ocean Acidification (EPOCA)", "EPOCA", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere", "Parameter Discipline::Environment", "Data management", "Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1460", "name": "Current Best Practices for Generalizing Sensitive Species Occurrence Data. Version 1.", "description": " - The unprotected distribution of Sensitive Primary Species Occurrence Data (for example the exact localities of rare, endangered or commercially valuable taxa) was a concern of GBIF [https:\/\/www.gbif.org] \u2013 the Global Biodiversity Information Facility \u2013 from its beginning. The GBIF Secretariat has a vested interest in making data available via its portals, but at the same time respecting the wishes of data providers to restrict information on sensitive taxa. In early 2006, GBIF initiated a process to address this issue, especially in relation to data to be shared through the GBIF network and made visible through GBIF.org [https:\/\/www.gbif.org] and other data aggregating initiatives. This resulted in the Guide to Best Practices for Generalising Sensitive Primary Species Occurrence Data [https:\/\/doi.org\/10.15468\/doc-b02j-gt10]. That document relied heavily on the results of an online survey conducted through Survey Monkey [https:\/\/www.surveymonkey.com] and subsequent workshops whose reports were originally made available on the GBIF website (Chapman 2006 [https:\/\/doi.org\/10.35035\/ vs84-0p13]). A final report on Dealing with Sensitive Primary Species Occurrence Data was developed following these processes and discussions, and was presented to GBIF in April 2007 (Chapman 2007 [https:\/\/doi.org\/10.35035\/rajc-t668]). This report made a number of recommendations, and many of these have been included in this document. The final step in that process was to develop a Guide to Best Practices for Primary Species Occurrence Data. That document was proposed as an overriding guideline for institutions, data providers and GBIF Nodes to use to develop their own in-house guidelines. Organizations and institutions were encouraged to produce their own internal documents that incorporated the practices outlined in the Guide and related documents such as the Guide to Best Practices for Georeferencing [https:\/\/doi.org\/ 10.15468\/doc-2zpf-zf42] (Chapman and Wieczorek 2006) and incorporate them into their own working environment. Unfortunately, not as many institutions have taken up the challenge and produced their own internal documents as we had hoped. Two key agencies that have done so, however, are SANBI in South Africa (SANBI 2010 [http:\/\/biodiversityadvisor.sanbi.org\/wp-content\/uploads\/2012\/09\/SANBIBiodiversity- Information-Policy-Series-Digital-Access-to-Sensitive-Taxon.pdf]) and the Atlas of Living Australia (Tann and Flemons 2009 [https:\/\/www.ala.org.au\/wp-content\/uploads\/2010\/07\/ALA-sensitive-data-report-andproposed- policy-v1.1.pdf], ALA 2018a [https:\/\/support.ala.org.au\/support\/solutions\/articles\/6000195500-what-issensitive- data-]) (see Implementations). It is also important to understand the possible impact that approaches for restricting sensitive data may have on biodiversity science and, while restricting the availability or resolution of certain data, not overly restricting the uses to which the data may be put. For that reason, a set of principles are elucidated below. Key among these is the need to make biodiversity information freely available wherever possible, in the interests of science, the environment and biodiversity itself. - , - Published - , - Based on the earlier publication by Chapman AD & Grafton O (2008) Guide to Best Practices for Generalising Sensitive Species-Occurrence Data. Copenhagen: GBIF Secretariat. https:\/\/doi.org\/10.15468\/doc-b02j-gt10. - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1460", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1460", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1460", "url": "https:\/\/hdl.handle.net\/11329\/1460" }, "author": [ { "@type": "Person", "name": "Chapman, Arthur D." } ], "contributor": [ { "@type": "Organization", "name": "Global Biodiversity Information Facility (GBIF) Secretariat" } ], "keywords": [ "Sensitive data", "GBIF", "Species conservation", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2332", "name": "Use of the dataset Quality Index to expand services associated to the EMODnet DTM. Version 12-01-2023.", "description": " - EMODnet bathymetry is composed of a large number of datasets from many data providers. Users of the resulting grid and associated datasets need to be able to evaluate the quality of the bathymetric product and associated data they will be using, at the grid node level. For that purpose, it was requested from the data provider to provide a quality assessment of the data they are providing. Tools were developed to help them generating this information as part of the metadata. Using this qualitative information helped the basin coordinators to set the level of priority of a data source over another one in case of overlap. Likewise, this information is being used to generate cartographic layouts enabling the users to assess the confidence he\/she can get locally from the bathymetric DEM product. This document first introduces the methodology used to define four quality indexes (known as QI, in the following sections of this document) for each datasets. Then, in a second part, it describes how the information gathered from each data provider for each dataset is used both in the context of the generation of the bathymetric DEM product and in its qualitative assessment (at the level of the grid cell). - , - EASME\/EMFF\/2019\/1.3.1.9\/Lot1\/SI2.836043 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2332", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2332", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2332", "url": "https:\/\/hdl.handle.net\/11329\/2332" }, "author": [ { "@type": "Person", "name": "Schmitt, T." }, { "@type": "Person", "name": "Loubrieu, B." }, { "@type": "Person", "name": "Guerin, C." }, { "@type": "Person", "name": "Monpert, C." } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Bathymetry" } ], "keywords": [ "Quality index layers", "Gravity, magnetics and bathymetry", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1354", "name": "Fact-finding Survey Regarding the Influx and Impacts of Sargassum Seaweed in the Caribbean Region: final report.", "description": " - The Caribbean region has suffered a sudden increase in the influx of Sargassum seaweed since 2011, and several countries in the region have requested support to the Government of Japan and the Japan International Cooperation Agency (JICA). In response JICA with support from CRFM conducted a \u201cFactfinding survey regarding the influx and impacts of Sargassum seaweed in the Caribbean region\u201d in order to gather information on the scope of damages and impacts and to determine the possibility of providing further support. The target countries included: Antigua and Barbuda, Barbados, Commonwealth of Dominica, Grenada, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, and Trinidad and Tobago. The objectives of this survey were to: (i) review the existing literature and initiatives in the region; (ii) summarize the scope of damages and impacts caused by Sargassum seaweed in the target countries; (iii) suggest potential countermeasures and determine the scope of support that JICA may be able to provide in the future. In order to summarize the scope of damages and impacts caused by Sargassum influxes a number of methods were utilized including: 1) virtual meetings with the target countries; 2) development and circulation of questionnaires targeted at the fisheries divisions\/departments; public sector agencies with responsibility for beach clean-ups; hotel associations; and innovators\/entrepreneurs using Sargassum and; 3) field missions to gather more detailed country-level data, information and knowledge. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1354", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1354", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1354", "url": "https:\/\/hdl.handle.net\/11329\/1354" }, "contributor": [ { "@type": "Organization", "name": "Caribbean Regional Fisheries Mechanism and Japan International Cooperation Agency" } ], "keywords": [ "Sargassum", "Management", "Beach cleanup", "Mitigation", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/340", "name": "Guide to best practices for ocean acidification research and data reporting. Addendum 2015.", "description": " - This addendum provides critical information and links to complementary resources for users of the Guide to Best Practices in Ocean Acidification Research and Data Reporting (Eds: Riebesell U., Fabry V. J., Hansson L. & Gattuso J.-P., 2010. 260 p. Luxembourg: Publications Office of the European Union). It was initiated following discussions within the SOLAS IMBER Ocean Acidification Working Group and the Advisory Board of the IAEA Ocean Acidification International Coordination Centre. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/340", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/340", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/340", "url": "https:\/\/hdl.handle.net\/11329\/340" }, "author": [ { "@type": "Person", "name": "Gattuso, Jean-Pierre" }, { "@type": "Person", "name": "Dickson, Andrew" }, { "@type": "Person", "name": "Dupont, Sam" }, { "@type": "Person", "name": "Nejstgaard, Jens" }, { "@type": "Person", "name": "Riebesell, Ulf" } ], "contributor": [ { "@type": "Organization", "name": "IAEA Ocean Acidification International Coordination Centre" } ], "keywords": [ "CO2", "Carbon dioxide", "Ocean atmosphere system", "Air sea interaction", "Ocean acidification", "Carbonate chemistry", "European Project on Ocean Acidification (EPOCA)", "EPOCA", "Parameter Discipline::Atmosphere", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2553", "name": "SISP 6 - Manual for mackerel and horse mackerel egg surveys, sampling at sea. Version 2.2.", "description": " - The working group on mackerel and horse mackerel egg surveys coordinates the Mackerel and Horse Mackerel Egg Survey in the Northeast Atlantic and the Mackerel Egg Survey in the North Sea, both carried out triennially. Both surveys provide indices for the strength of the SSB of both the western and North Sea stocks of Atlantic mackerel (Scomber scombrus) and a relative abundance index of horse mackerel (Trachurus trachu- rus) spawning stocks in the Northeast Atlantic. The survey for the western mackerel stock was initiated in 1977 by England (Lockwood et al. 1981) joined only by France. Later the North Sea survey was added, as well as the utilization of the Northeast Atlan- tic Survey for investigating the abundance of horse mackerel eggs. The survey was soon acknowledged for its usefulness in providing the only independent measure of SSB of western mackerel and more and more countries joined the survey. Consequently, and in order to achieve comparable data over the complete survey, regardless of participat- ing nation, it became necessary to standardize methods applied during the survey. A first manual for the conduct of egg surveys, targeted at the annual egg production method (AEPM), was presented in Section 8 of the Report of the Mackerel\/Horse Macke- rel Egg Production Workshop (ICES, 1994). Those instructions were repeated in ICES 1997 (Sections 6.4.1 to 6.4.8) and incorporate changes, additions or clarifications. Addi- tional changes and recommendations for further standardisation between participants were given in section 3.3 of ICES (2003). At each working group meeting as well as during the workshops on egg staging and fecundity estimation, the manual is discussed and updated where necessary, and incorporated in the working group and workshop reports as an annex document. Other methods necessary for adequate storage and preservation of the samples, sorting, identification and staging of fish eggs are described in sections of the different workshops and working group meetings. It was recom- mended at the 2009 WGMEGS meeting that all those descriptions necessary for a suc- cessful execution of the survey shall be combined in one stand-alone document. This manual incorporates the current protocols (together with recent changes) for the collection and analysis of adult fish parameters required for the AEPM method. It is recommended that this manual is updated on a regular basis and is distributed for use by all participants during the triennial surveys. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.a - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2553", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2553", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2553", "url": "https:\/\/hdl.handle.net\/11329\/2553" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/873", "name": "Ocean acidification studies and the uncertainties relevance on measurements of marine carbonate system properties.", "description": " - The global ocean has a key role on the Earth's climate system. It possesses a direct connection with the atmospheric gases, including the greenhouses, allowing exchanges between those compartments and oceanic storage of carbon. Through the years, this exchange of gases occurred based on gas equilibrium between ocean and atmosphere. After the Industrial Revolution, human activities have increased the emissions of greenhouse gases, mainly carbon dioxide (CO2), which changed the atmospheric concentration from ~280 ppm of CO2 to values as high as 391 ppm between c.a. 1750 and 2011 (Ciais et al., 2013). Recently, the measured CO2 atmospheric values are ranging near or above 400 ppm, as recorded by the Mauna Loa observatory, in Hawaii (daily CO2 measurements information available on www.scripps.ucsd.edu). A regional study in the south-southeast Brazilian continental shelf agrees with this value, which has measured an average of 396.7\u00b12.5 ppm in the atmosphere during the spring of October 2014 (Kerr et al., 2016). This enhancement is reflected in the ocean, which has absorbed about 25% to 30% of the anthropogenic atmospheric CO2 emissions (Sabine and Tanhua, 2010; Le Qu\u00e9re et al., 2016). The CO2 uptake by the oceans directly affects the seawater chemistry and marine biogeochemical processes, impacting both the ecosystems and their respective biota (Doney et al., 2009). Atmospheric CO2 can be transferred to seawater through the air-sea interface, where it dissolves and reacts with H2O forming the carbonic acid (H2CO3). The H2CO3 is a weak acid and promptly suffers two dissociation processes that release protons (H+): the first one originates bicarbonate ion (HCO3-); and the second one, carbonate ion (CO32-) (Figure 1). The term total dissolved inorganic carbon (DIC) is the sum of the three main inorganic forms of CO2 in seawater (i.e., CO2*, HCO3- and CO32-; the CO2* represents the sum of CO2(aq) and H2CO3 because the latter is rapidly dissociated in seawater), which can be also referred, in some works, as CT, TIC, TCO2 or \u2211CO2 (Zeebe, 2012). The equilibrium system of the DIC species on seawater is known as the marine carbonate system and is the main responsible to drive the buffer capacity of the ocean. Thus, the chemical species of the carbonate system in seawater changes to equilibrate the H+ content, leaving the ocean with an average pH around 8.2 units (Zeebe and Wolf-Gladrow, 2001). - , - Refereed - , - 14.3 - , - Inorganic carbon - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/873", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/873", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/873", "url": "https:\/\/hdl.handle.net\/11329\/873" }, "author": [ { "@type": "Person", "name": "Perretti, Adriana Rodrigues" }, { "@type": "Person", "name": "Albergaria-Barbosa, Ana Cec\u00edlia Rizzatti de" }, { "@type": "Person", "name": "Kerr, Rodrigo" }, { "@type": "Person", "name": "Cunha, Leticia Cotrim da" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2609", "name": "Guidelines for the active restoration of Posidonia oceanica.", "description": " - As initiated by other international or regional agreements (e.g. OSPAR, UNEP-MAP), seagrass restoration operations require an analysis of existing practices in order to identify what is \u201cworking\u201d (operational techniques) and what is still considered as Research and Development (R&D). This initiative aims to guide public policies, Marine Protected Areas (MPA) managers, decision-makers, associations and scientists. The decision-making process, regulations and source of funding will be different if the restoration project is a working or R&D operation. The main objectives of this restoration guidance are as follows: \u2022 Present and describe case studies showcasing successful Posidonia restoration measures, particularly those employing nature-based solutions, \u2022 Analyze previous unsuccessful experiments in order to identify the causes of failure, \u2022 Investigate main topics R&D would necessary, \u2022 and by doing this, develop structured Posidonia restoration guidelines involving the successive steps from the need to restore, the planning, the site selection, the actual restoration measures, the monitoring and the assessment. The report does not discuss the different European \/ national regulations that can be required when transplanting Posidonia. - , - Published - , - A l'instar d'autres accords internationaux ou r\u00e9gionaux (OSPAR, UNEP-MAP), les op\u00e9rations de restauration des herbiers n\u00e9cessitent une analyse des pratiques existantes afin d'identifier ce qui \u00ab marche \u00bb (techniques op\u00e9rationnelles) et ce qui rel\u00e8ve encore de la Recherche et du D\u00e9veloppement (R&D). Cette initiative vise \u00e0 guider les politiques publiques, les gestionnaires d'aires marines prot\u00e9g\u00e9es (AMP), les d\u00e9cideurs, les associations et les scientifiques. Le processus de prise de d\u00e9cision, les r\u00e9glementations et les sources de financement seront diff\u00e9rents selon que le projet de restauration est de type op\u00e9rationnel ou un projet de R&D. Les principaux objectifs de ce guide sur la restauration sont les suivants : - Pr\u00e9senter et d\u00e9crire des \u00e9tudes de cas illustrant des mesures de restauration de posidonies r\u00e9ussies, en particulier celles qui utilisent des solutions bas\u00e9es sur la nature, - Analyser les exp\u00e9riences ant\u00e9rieures infructueuses afin d'identifier les causes de l'\u00e9chec, - \u00c9tudier les principaux sujets sur lesquels plus de R&D serait n\u00e9cessaire, - et ce faisant, d\u00e9velopper des lignes directrices structur\u00e9es sur la restauration des posidonies abordant les \u00e9tapes successives depuis la n\u00e9cessit\u00e9 de restaurer, la planification, la s\u00e9lection du site, les mesures de restauration proprement dites, le suivi et l'\u00e9valuation. Le rapport n'aborde pas les diff\u00e9rentes r\u00e9glementations europ\u00e9ennes\/nationales qui peuvent \u00eatre requises lors de la transplantation de posidonies. - , - Current - , - 14.1 - , - Seagrass cover and composition - , - Mature - , - Multi-organisational - , - International - , - Species abundances - , - Marine Habitats - , - NA - , - NA - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2609", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2609", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2609", "url": "https:\/\/hdl.handle.net\/11329\/2609" }, "author": [ { "@type": "Person", "name": "Pergent-Martini, Christine" }, { "@type": "Person", "name": "Serena, Andr\u00e9" }, { "@type": "Person", "name": "Castejon, Ines" }, { "@type": "Person", "name": "Deter, Julie" }, { "@type": "Person", "name": "Frau, Francesca" }, { "@type": "Person", "name": "Gerakaris, Vasilis" }, { "@type": "Person", "name": "Mancini, Gianluca" }, { "@type": "Person", "name": "Molenaar, Heike" }, { "@type": "Person", "name": "Montefalcone, Monica" }, { "@type": "Person", "name": "Oprandi, Alice" }, { "@type": "Person", "name": "Pergent, Gerard" }, { "@type": "Person", "name": "Poursanidis, Dimitris" }, { "@type": "Person", "name": "Royo, Laura" }, { "@type": "Person", "name": "Terrados, Jorge" }, { "@type": "Person", "name": "Tomasello, Agostino" }, { "@type": "Person", "name": "Ventura, Daniele" }, { "@type": "Person", "name": "Villers, Frederic" } ], "contributor": [ { "@type": "Organization", "name": "University of Corsica Pascal Paoli" } ], "keywords": [ "Seagrass", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/646", "name": "Algal issues in seawater desalination.", "description": " - Once harmful algal blooms (HABs) reach a desalination plant, they can cause significant operational issues and potential health concerns for consumers. These issues stem from two factors \u2013 first, the algal cells produce organic matter that can cause filter clogging and membrane fouling, and secondly, some cells produce toxic substances or taste and odor compounds. This chapter first explains the mechanisms for cellular release of organic matter, the types of matter that are produced, and the relative contribution of each type of matter to fouling mechanisms. It then describes the wide range of toxins that are produced by HABs, their mode of toxicity, and analytical methods for detecting them. While taste and odor compounds are non-toxic, they are included in this chapter as they can create customer perception issues and distrust in the water supply system. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Phytoplankton biomass and diversity - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/646", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/646", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/646", "url": "https:\/\/hdl.handle.net\/11329\/646" }, "author": [ { "@type": "Person", "name": "Hess, Philipp" }, { "@type": "Person", "name": "Villacorte, Loreen O." }, { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Anderson, Donald M." }, { "@type": "Person", "name": "Kennedy, Maria D." }, { "@type": "Person", "name": "Schippers, Jan C." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Fouling", "Toxins", "Organic matter", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/587", "name": "Variability of Tidal Datums and Accuracy in Determining Datums from Short Series of Observations.", "description": " - Tidal datum planes are used to determine the positions of boundaries, as planes of reference for maps and charts, in the design of coastal structures, and to delineate the extent of land uses in coastal areas. Even small differences in accepted values of datums are significant in low-lying coastal areas. The temporal and spatial variability of tidal datums, the length of record used to determine datums, their rela\u00adtionship to the National Geodetic Vertical Datum of 1929, and two methods of deter\u00admining tidal datums from short series of observations are presented. Statistical analyses of accuracies of datum planes based on short periods of record are given for the United States' East, Gulf, and West Coasts. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/587", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/587", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/587", "url": "https:\/\/hdl.handle.net\/11329\/587" }, "author": [ { "@type": "Person", "name": "Swanson, R.L." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2558", "name": "SISP 2 - Manual for the Midwater Ring Net sampling during IBTS Q1. Version 3.", "description": " - The Midwater Ring Net is at present the standard gear for sampling fish larvae during the North Sea International Bottom Trawl Survey in the first quarter. Fish larvae sam-pling during the IBTS Q1 was initiated in 1977. During the period 1977\u20131991 an Issacs Kidd Midwater Trawl was used as the standard gear. When changing to the present ring net (which use a long two-legged bridle attachment as for the frame trawl de-scribed by R. D. Methot) the abbreviation for the new gear \u2013 MIK- was erroneously interpreted as an abbreviation of the names Methot, Isaacs and Kidd. This is not the case, and the present gear has only a passing resemblance to the gears described by R. D. Methot or Isaacs and Kidd. Hence the names to be used for the gear are either \u201cMIK\u201d or \u201cMidwater Ring Net\u201d. The construction of the MIK is strong and robust because of the often harsh conditions in the first quarter period in the North Sea. Hence compared to the smaller conical nets traditionally utilized for plankton sampling, the gear is made more robust by using a very strong (and heavy) ring frame, and a net strengthened with nylon or canvas rein-forcing straps. The main target of the MIK-sampling is larval herring between 2 and 3 cm length, which at that size are of quite low densities. Therefore, the gear has a rela-tively large opening of 2 metre in diameter. Furthermore, because of the fast escape behaviour of the large herring larvae, sampling is carried out at night (with a black net) at a towing speed of 3 knots. The speed constraints the mesh size and a relatively coarse mesh of 1.6 mm is standard. The standard rigging and procedures for undertaking MIK sampling during IBTS Q1 is described in the sections below. Minor differences in MIK design may occur among participants, however, these differences are all believed to be insignificant with respect to catchability of the gear. Nevertheless, the comparability among participants is veri-fied for each survey. This is done by comparing the results of participants that sample the same ICES rectangles. Since 2016, the MIKeyM sampling constitutes the North Sea Cod and Plaice Egg Survey (ICES 2016a) has been fully incorporated in to the standard sampling protocols for the MIK sampling in the 1st Quarter IBTS. At an identical survey design only a different gear is needed to capture fish eggs effectively. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2558", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2558", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2558", "url": "https:\/\/hdl.handle.net\/11329\/2558" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Bottom trawl", "Fish larvae", "Fish", "MIKeyM", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2608", "name": "Life and Science at Sea: Advice for your First Scientific Research Cruise from Experienced Oceanographers.", "description": " - This guide contains information about what to expect when going to sea as a scientist, with a particular focus for graduate students on their first sea-going experience. It synthesizes input from over 160 scientists worldwide via survey and in person interview in 2024. This expertise spans a variety of trip lengths and locations, spanning several day coastal trips to monthslong open ocean voyages, as well as cruise participation during all career stages, from undergraduate to chief scientist. Topics covered include advice on scientific preparation, packing, ports of call, seasickness, food, exercise, internet access, shift work, entertainment, interpersonal relationships, safety onboard, living quarters and sleeping, and conducting science onboard. Additional anecdotes, quotes, and general pieces of advice are included as well. - , - Published - , - Self published; the author informed she had obtained permission from all survey respondents to publish their detail - , - Non Refereed - , - Current - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2608", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2608", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2608", "url": "https:\/\/hdl.handle.net\/11329\/2608" }, "author": [ { "@type": "Person", "name": "Yoder, Meg" } ], "contributor": [ { "@type": "Organization", "name": "Meg Yoder" } ], "keywords": [ "Research Cruise", "Cruise Preparation", "Cruise packing list", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/871", "name": "Metrological challenges for measurements of key climatological observables: Oceanic salinity and pH, and atmospheric humidity. Part 1: Overview.", "description": " - Water in its three ambient phases plays the central thermodynamic role in the terrestrial climate system. Clouds control Earth\u2019s radiation balance, atmospheric water vapour is the strongest \u201cgreenhouse\u201d gas, and non-equilibrium relative humidity at the air-sea interface drives evaporation and latent heat export from the ocean. On climatic time scales, melting ice caps and regional deviations of the hydrological cycle result in changes of seawater salinity, which in turn may modify the global circulation of the oceans and their ability to store heat and to buffer anthropogenically produced carbon dioxide. In this paper, together with three companion articles, we examine the climatologically relevant quantities ocean salinity, seawater pH and atmospheric relative humidity, noting fundamental deficiencies in the definitions of those key observables, and their lack of secure foundation on the International System of Units, the SI. The metrological histories of those three quantities are reviewed, problems with their current definitions and measurement practices are analysed, and options for future improvements are discussed in conjunction with the recent seawater standard TEOS-10. It is concluded that the International Bureau of Weights and Measures, BIPM, in cooperation with the International Association for the Properties of Water and Steam, IAPWS, along with other international organisations and institutions, can make significant contributions by developing and recommending state-of-the-art solutions for these long standing metrological problems in climatology. - , - Refereed - , - 14.A - , - Sea surface salinity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/871", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/871", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/871", "url": "https:\/\/hdl.handle.net\/11329\/871" }, "author": [ { "@type": "Person", "name": "Feistel, R." }, { "@type": "Person", "name": "Wielgosz, R." }, { "@type": "Person", "name": "Bell, S.A." }, { "@type": "Person", "name": "Cam\u00f5es, M. F." }, { "@type": "Person", "name": "Cooper, J. R." }, { "@type": "Person", "name": "Dexter, P." }, { "@type": "Person", "name": "Dickson, A. G." }, { "@type": "Person", "name": "Fisicaro, P." }, { "@type": "Person", "name": "Harvey, A. H." }, { "@type": "Person", "name": "Heinonen, M." }, { "@type": "Person", "name": "Hellmuth, O." }, { "@type": "Person", "name": "Kretzschmar, H. J." }, { "@type": "Person", "name": "Lovell-Smith, J. W." }, { "@type": "Person", "name": "McDougall, T. J." }, { "@type": "Person", "name": "Pawlowicz, R." }, { "@type": "Person", "name": "Ridout, P.," }, { "@type": "Person", "name": "Seitz, S." }, { "@type": "Person", "name": "Spitzer, P." }, { "@type": "Person", "name": "Stoica, D." }, { "@type": "Person", "name": "Wolf, H." } ], "keywords": [ "pH", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2444", "name": "Addressing ALDFG in Africa: a best practice guide.", "description": " - Abandoned, lost or otherwise discarded fishing gear (ALDFG) is considered harmful not only because it may lead to ghost fishing, but because fishing gear makes up a significant proportion of macrolitter in the world\u2019s oceans. Not only does ALDFG have the potential to continue fishing long after it has been lost, and hence it is in direct competition with fisheries, but it also contributes to marine plastics and all the associated harmful impacts that plastics have on the environment (smothering, microplastics, etc). There is a paucity of information about ALDFG, especially in Africa. Many international organisations, research institutes and NGOs have developed excellent guides for best practices towards mitigating ALDFG. However, these guides are either broad in scope or based on information from developed countries, and therefore contain guidance that is not applicable to African conditions. Consequently, this guide arose from the urgent need to gather data on ALDFG in Africa, and to simultaneously begin to develop best practices, that are useful for regional and\/or local conditions within Africa. The guide was developed through a collaborative process, consisting of both in-person and virtual workshops, meetings and interviews with stakeholders who understand ALDFG within an African setting. In this guide we discuss what and how data on ALDFG should be collected, who is responsible for this data collection and who is responsible for the reporting of ALDFG. Within this guide, the marking of fishing gear and fishing gear modification, including the use of biodegradable fishing gear, are discussed to see what measures are feasible to African fishers. Case studies are included to showcase the work already taking place in African countries towards gathering ALDFG data, working with communities to raise awareness, and creating innovative solutions for end-of-life fishing gear. The guide is a working document and serves as a starting point to develop best practices for ALDFG for African fisheries, so that we may collectively work towards a future where the people of Africa and her seas flourish together. - , - Norwegian Ministry of Foreign Affairs - , - Published - , - Case Study authors: Anthony Appiah, Fisheries Scientific Survey Division, Fisheries Commission, Ghana Terry Achieng, Catchgreen Biodegradable Fishing Nets, South Africa Emma Algotsson, Catchgreen Biodegradable Fishing Nets, South Africa Tayla Gifford, Sustainable Seas Trust, South Africa David Kaplan, Marine Biodiversity, Exploration and Conservation, University of Montpellier, France Danica Marlin, Sustainable Seas Trust, South Africa Joshua Nathaniel, Stand Out for the Environment (SOFER), Nigeria Emmanuel Sofa, Stand Out for the Environment (SOFER), Nigeria - , - Refereed - , - Current - , - 14.1 - , - 8 - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - National - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2444", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2444", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2444", "url": "https:\/\/hdl.handle.net\/11329\/2444" }, "author": [ { "@type": "Person", "name": "Gifford, Tayla" }, { "@type": "Person", "name": "Marlin, Danica" }, { "@type": "Person", "name": "Randall, Peter" }, { "@type": "Person", "name": "Nathaniel, Joshua" } ], "contributor": [ { "@type": "Organization", "name": "Sustainable Seas Trust" } ], "keywords": [ "Biodegradable", "Recycling", "Repurposing", "Fishing gear", "ALDFG", "Developing countries", "Ghost gear", "Discarded fishing gear", "Fisheries", "Human activity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1282", "name": "Best Practice Guidelines for Seaweed Cultivation and Analysis: Public Output report Report [WP1A5.01] of the EnAlgae Project.", "description": " - This document is a compilation of Best Practice recommendations and considerations employed by the EnAlgae macroalgal pilot facilities. EnAlgae was a four-year Strategic Initiative of INTERREG IVB North- West Europe programme. As part of a key series of outputs, three macroalgae pilot sites were developed in the UK, Ireland and France to demonstrate algal cultivation techniques for bioenergy. This integrated network of pilot sites collaborated on method development and optimal pilot operation with respect to Standard Operating Procedures (SOPs, separate document). These SOPs were combined and refined into a comprehensive overview of the Best Practices for Macroalgal Cultivation across a range of environmental conditions and species. Best Practices (including recommendations and considerations) are presented for siting a pilot plant; macroalgae cultivation (including strain collection, preparation, maintenance and monitoring); macroalgae seeding, deployment, at-sea maintenance and monitoring and biomass harvesting. In addition, detailed technical descriptions of the different pilots and the infrastructure used in have been provided, along with key information on practices that were unsuccessful. The aim is to provide the information necessary for those new to pilot and commercial scale macroalgae cultivation, across a range of site conditions and resources available. Acknowledgements - , - INTERREG IVB NWE programme. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1282", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1282", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1282", "url": "https:\/\/hdl.handle.net\/11329\/1282" }, "author": [ { "@type": "Person", "name": "Mooney-McAuley, K. M." }, { "@type": "Person", "name": "Edwards, M. D." }, { "@type": "Person", "name": "Champenois, J." }, { "@type": "Person", "name": "Gorman, E." } ], "contributor": [ { "@type": "Organization", "name": "EnAlgae, Swansea University, Centre for Sustainable Aquatic Research" } ], "keywords": [ "Macroalgae cultivation", "Licensing", "Seaweed", "Sargassum", "European project", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/246", "name": "ICES Guidelines for XBT data. (Compiled January 2000; revised August 2001; April 2006)", "description": " - The Expendable Bathythermograph (XBT) has been used by oceanographers for many years to obtain information on the temperature structure of the ocean to depths of up to 1500 meters. The XBT probe is typically launched from a steaming ship. During the probes descent, it measures the water temperature. Two very small wires transmit the temperature data to a ship computer where it is recorded for later analysis. The probe is designed to fall at a constant rate, so that the depth of the probe can be inferred from the time since it was launched. - , - Published - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/246", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/246", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/246", "url": "https:\/\/hdl.handle.net\/11329\/246" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Expendable bathythermograph", "Temperature", "XBT", "Sampling", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::bathythermographs", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1950", "name": "Environment and Oil Spill Response (EOS) : an Analytic Tool for Environmental Assessments to Support Oil Spill Response Planning. The Handbook.", "description": " - The EOS is a desktop analysis based on oil spill scenarios and published as well as expert knowledge on the environment in the assessment area. The EOS tool can support decisions of inclusion of mechanical recovery, in situ burning and chemical dispersants in national oil spill contingency plans in relation to minimizing and mitigating the environmental impacts. In addition, the results obtained through the EOS tool can be used for establishment of cross-border and trans-boundary cooperation and agreements on oil spill response. The EOS tool is based on an Excel spreadsheet, with references to explanatory boxes provided in the EOS Handbook. The EOS analysis goes through 5 steps for each of the oil spill response methods and for each season: Gathering basic environmental data and information for the assessment area; Assessments of basic data and oil spill modelling results; Indices calculations; Decision trees for each oil spill response technology; Interpretation and dissemination of EOS results. - , - European Commission, EU H2020 GRACE grant no 679266 - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Validated (tested by third parties) - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1950", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1950", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1950", "url": "https:\/\/hdl.handle.net\/11329\/1950" }, "author": [ { "@type": "Person", "name": "Wegeberg, Susse" }, { "@type": "Person", "name": "Fritt-Rasmussen, Janne" }, { "@type": "Person", "name": "Gustavson, Kim" } ], "contributor": [ { "@type": "Organization", "name": "Aarhus University, Danish Centre for Environment and Energy" } ], "keywords": [ "Decision Tree", "Oil spill response", "Decision tool", "Oil pollution", "Chemical dispersants", "GRACE", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1305", "name": "Digital underwater signalling standard for network node discovery and interoperability. Edition A, Version 1.", "description": " - Present NATO Underwater Communication Capabilities are currently standardised as follows: - Tactical and safety communication in accordance with STANAG 1074, analogue Voice and Morse - Distress in accordance with STANAG 1298. 2. Some NATO nations\u2019 maritime assets have underwater (UW) communication capabilities exceeding the above standards based on point-to-point communication links, following either analogue standards or using proprietary digital coding technologies from the communication equipment supplying company. Yet there exists no interoperable capability for digital UW communication between assets, NATO and NON-NATO, military and civilian, using communication systems from different suppliers, as required to support NATO maritime force goals. 3. An interoperability capability is essential as NATO maritime CONUSE seek to integrate an increasingly heterogeneous mix of maritime assets. Submarines, surface craft, fixed- and rotary- wing aircraft, moored ocean sensing systems, gateway buoys and autonomous underwater vehicles (AUVs) depend on underwater acoustic communications for command, control and information sharing. There is currently no existing capability for these to communicate UW with each other unless they carry matching equipment from the same manufacturer. 4. There is also no existing means to discover other communicating assets to permit the formation of ad-hoc networks. Among the several manufacturers of UW digital modems, none are currently able to communicate with systems produced by other manufacturers. The establishment of an UW digital communications standard therefore has wide application in both military and civilian contexts. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1305", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1305", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1305", "url": "https:\/\/hdl.handle.net\/11329\/1305" }, "contributor": [ { "@type": "Organization", "name": "NATO Standardization Office" } ], "keywords": [ "JANUS", "Underwater commmunication", "Internet of Underwater Things", "NATO Standard", "Parameter Discipline::Physical oceanography::Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2023", "name": "Funding research data management and related infrastructures.", "description": " - Research Funding Organisations (RFO) and Research Performing Organisations (RPO) throughout Europe are well aware that science and scholarship increasingly depend on infrastructures supporting sustainable Research Data Management (RDM)3 2. In two complementary surveys, the Science Europe Working Group on Research Data and the Knowledge Exchange Research Data Expert Group explored how organisations funding and performing research think and act with respect to the funding of RDM and the related infrastructures. The resulting report illustrates the diversity of the funding landscape with respect to research data in Europe and the critical challenges that this presents. The funding of RDI, enabling RDM, comes from a great variety of sources and institutions that have different responsibilities and that operate at local, national and international levels. Significant parts of the funding have particular disciplinary dimensions. The funding actors, levels and disciplines are not part of a coordinated structure. This situation presents a huge challenge to the sustainability of RDM 3. Some RFOs and most RPOs contribute to the funding of specialised data infrastructure providers, which play key roles in providing RDI and in supporting RDM. Especially among RFOs there is no generally-accepted view on who should be responsible for the sustained funding of such providers; however, providers funded by RPOs tend to focus on servicing their own organisation. As a consequence, the infrastructure providers have different perspectives on their own and others\u2019 roles and responsibilities, which is a hindrance for effective (inter-)national and (inter-)disciplinary coordination. The many RDM services that these organisations fund, offer and use represent a wide variety, and all of these come in many flavours: local, national, international; discipline specific; and with all types of different, sometimes overlapping, beneficiaries - , - Published - , - Current - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2023", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2023", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2023", "url": "https:\/\/hdl.handle.net\/11329\/2023" }, "contributor": [ { "@type": "Organization", "name": "Science Europe - Knowledge Exchange" } ], "keywords": [ "Research infrastructures", "Research data management (RDM)", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2255", "name": "OLCI-based NIR-red models for estimating chlorophyll- a<\/i> concentration in productive coastal waters\u2014a preliminary evaluation.", "description": " - We present here results that demonstrate the potential of the recently launched Ocean and Land Colour Instrument (OLCI) onboard the satellite Sentinel-3A to deliver accurate estimates of chlorophyll-a (chl-a) concentration in coastal waters using reflectances in the red and near-infrared (NIR) spectral regions. Two-band and three-band NIR-red models that were previously used for data from the MEdium Resolution Imaging Spectrometer (MERIS) were applied to OLCI data from the Sea of Azov and the Taganrog Bay, Russia. Atmospherically corrected reflectance data from OLCI were compared to in situ reflectance data collected concurrently with a field spectrometer. Results show that the default atmospheric correction procedure currently applied to OLCI data performs well in preserving the spectral shape of chl-a-specific reflectance features in the red and NIR regions. Similar to what was achieved with MERIS data, the NIR-red models yield accurate estimates of chl-a concentration, with accuracies on the order of 90%, though the parameters of the NIR-red algorithms based on OLCI data are slightly different from what was obtained with MERIS data. More data, from various geographical locations, need to be analyzed to establish robust NIR-red algorithms for OLCI data. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - MEdium Resolution Imaging Spectrometer (MERIS) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2255", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2255", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2255", "url": "https:\/\/hdl.handle.net\/11329\/2255" }, "author": [ { "@type": "Person", "name": "Moses, Wesley J." }, { "@type": "Person", "name": "Saprygin, Vladislav" }, { "@type": "Person", "name": "Gerasyuk, Victoria" }, { "@type": "Person", "name": "Povazhnyy, Vasiliy" }, { "@type": "Person", "name": "Berdnikov, Sergey" }, { "@type": "Person", "name": "Gitelson, Anatoly A" } ], "keywords": [ "Other organic chemical measurements", "spectrophotometers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1359", "name": "Towards quantifying uncertainty in ocean heat content changes using synthetic profiles.", "description": " - Observational estimates of global ocean heat content (OHC) change are used to assess Earth\u2019s energy imbalance over the 20th Century.However, intercomparison studies show that the mappingmethods used to interpolate sparse ocean temperature profile data are a key source of uncertainty. We present a new approach to assessing OHC mapping methods using \u2018synthetic profiles\u2019 generated froma state-of-the-art global climate model simulation. Synthetic profiles have the same sampling characteristics as the historical ocean temperature profile data but are based on model simulation data.Mapping methods ingest these data in the same way as they would real observations, but the resultant mapped fields can be compared to a model simulation \u2018truth\u2019. We use this approach to assess two mapping methods that are used routinely for climate monitoring and initialisation of decadal forecasts. The introduction of the Argo network of autonomous profiling floats during the 2000s drives clear improvements in the ability of these methods to reconstruct the variability and spatial structure ofOHCchanges. At depths below 2000 m, both methods underestimate the magnitude of the simulated ocean warming signal. Temporal variability and trends in OHC are better captured in the better-observed northern hemisphere than in the southern hemisphere. At all depths, the sampling characteristics of the historical data introduces some spurious variability in the estimates of global OHC on sub-annual to multiannual timescales.However,many of the large scale spatial anomalies, especially in the upper ocean, are successfully reconstructed even with sparse observations from the 1960s, demonstrating the potential to construct historical ocean analyses for assessing decadal predictions. The value of using accurate global covariances for data-poor periods is clearly seen. The results of this \u2018proof-of-concept\u2019 study are encouraging for gaining further insights into the capabilities and limitations of different mappingmethods and for quantifying uncertainty in global OHC estimates. - , - Refereed - , - 14.A - , - Ocean surface heat flux - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1359", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1359", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1359", "url": "https:\/\/hdl.handle.net\/11329\/1359" }, "author": [ { "@type": "Person", "name": "Allison, L.C." }, { "@type": "Person", "name": "Roberts, C.D." }, { "@type": "Person", "name": "Palmer, M.D." }, { "@type": "Person", "name": "Hermanson, L," }, { "@type": "Person", "name": "Killick, R.E." }, { "@type": "Person", "name": "Rayner, N.A." }, { "@type": "Person", "name": "Smith, D.M." }, { "@type": "Person", "name": "Andrews, M.B." } ], "keywords": [ "Ocean heat content", "Uncertainty", "Synthetic profiles", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1620", "name": "An Optical Imaging System for Capturing Images in Low-Light Aquatic Habitats Using Only Ambient Light.", "description": " - It is preferable that methods for monitoring fish behavior, diversity, and abundance be noninvasive to avoid potential bias. Optical imaging facilitates the noninvasive monitoring of underwater environments and is best conducted without the use of artificial lighting. Here, we describe a custom-designed optical imaging system that utilizes a consumer-grade camera to capture images in situ in ambient light. This diver-deployed system can be used to collect time series of occurrences of animals while concurrently obtaining behavioral observations for two weeks to a month (depending on the sampling rate). It has also been configured to be paired with a passive acoustic system to record time-synchronized image and acoustic data. The system was deployed in a protected kelp forest off southern California and captured >1,500 high-quality images per day over 14 days. The images revealed numerous fish species exhibiting biologically important behaviors as well as daily patterns of presence\/absence. The optical imaging system is a cost-effective tool that can be easily fabricated and improves upon many of the limitations of previous systems, including deployment length and image quality in low-light and limited-visibility conditions. The system provides a relatively noninvasive way to monitor shallow marine habitats, including protected areas, and can augment traditional survey methods by providing nearly continuous observations and thus yield increased statistical power. - , - Refereed - , - 14.a - , - Fish abundance and distribution - , - Pilot or Demonstrated - , - Optical imaging system - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1620", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1620", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1620", "url": "https:\/\/hdl.handle.net\/11329\/1620" }, "author": [ { "@type": "Person", "name": "Pagniello, Camille M.L.S." }, { "@type": "Person", "name": "Butler, Jack" }, { "@type": "Person", "name": "Rosen, Annie" }, { "@type": "Person", "name": "Sherwood, Addison" }, { "@type": "Person", "name": "Roberts, Paul L.D." }, { "@type": "Person", "name": "Parnell, P. Edward" }, { "@type": "Person", "name": "Jaffe, Jules S." }, { "@type": "Person", "name": "\u0160irovic\u0301, Ana" } ], "keywords": [ "Optical imaging system", "Fish", "Crepuscular behaviour", "Kelp forests", "Underwater photography", "underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2408", "name": "Best practices for generating and analyzing 16S rRNA amplicon data to track coral microbiome dynamics.", "description": " - Over the past two decades, researchers have searched for methods to better understand the relationship between coral hosts and their microbiomes. Data on how coral-associated bacteria are involved in their host\u2019s responses to stressors that cause bleaching, disease, and other deleterious effects can elucidate how they may mediate, ameliorate, and exacerbate interactions between the coral and the surrounding environment. At the same time tracking coral bacteria dynamics can reveal previously undiscovered mechanisms of coral resilience, acclimatization, and evolutionary adaptation. Although modern techniques have reduced the cost of conducting high-throughput sequencing of coral microbes, to explore the composition, function, and dynamics of coral-associated bacteria, it is necessary that the entire procedure, from collection to sequencing, and subsequent analysis be carried out in an objective and effective way. Corals represent a difficult host with which to work, and unique steps in the process of microbiome assessment are necessary to avoid inaccuracies or unusable data in microbiome libraries, such as off-target amplification of host sequences. Here, we review, compare and contrast, and recommend methods for sample collection, preservation, and processing (e.g., DNA extraction) pipelines to best generate 16S amplicon libraries with the aim of tracking coral microbiome dynamics. We also discuss some basic quality assurance and general bioinformatic methods to analyze the diversity, composition, and taxonomic profiles of the microbiomes. This review aims to be a generalizable guide for researchers interested in starting and modifying the molecular biology aspects of coral microbiome research, highlighting best practices and tricks of the trade. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2408", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2408", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2408", "url": "https:\/\/hdl.handle.net\/11329\/2408" }, "author": [ { "@type": "Person", "name": "Silva, Denise P." }, { "@type": "Person", "name": "Epstein, Hannah E." }, { "@type": "Person", "name": "Vega Thurber, Rebecca L." } ], "keywords": [ "Coral", "Methods", "High-throughput sequencing (HTS)", "Microbiome", "16S rRNA amplicon", "Microbiology", "Rock and sediment biota", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1004", "name": "Manual for Real-Time Quality Control of In-Situ Current Observations: a Guide to Quality Control and Quality Assurance of Acoustic Doppler Current Profiler Observations. Version 2.1.", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the in-situ currents community at large for the real-time QC of in-situ current measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean-observing community and represents a contribution to a collection of core variable QC documents. This manual documents a series of test procedures for ocean currents data QC. Current observations covered by these procedures are collected in oceans, coastal waters, and lakes in real time or near-real time. - , - Published - , - Refereed - , - Current - , - 14 - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1004", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1004", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1004", "url": "https:\/\/hdl.handle.net\/11329\/1004" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System," } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1029", "name": "Test method of seawater nutrients analyzer.", "description": " - This best practice specifies the test items, test equipment, test environmental conditions, test methods of the seawater nutrients analyser (hereinafter referred to as the instrument) and requirements for the compilation of the test reports. This best practice is applicable to the test of seawater nutrients automatic analyser being long-term used underwater. - , - Published - , - Refereed - , - Current - , - 14.A - , - Nutrients - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1029", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1029", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1029", "url": "https:\/\/hdl.handle.net\/11329\/1029" }, "author": [ { "@type": "Person", "name": "Wang, Aijun" }, { "@type": "Person", "name": "Wang, Cong" }, { "@type": "Person", "name": "Gao, Zhanke" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Li, Mingzhao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China" } ], "keywords": [ "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/172", "name": "Guide to operational procedures for the collection and exchange of oceanographic data (BATHY and TESAC). Revised edition 1982. [OBSOLETE]", "description": " - Published - , - data encoding, data collection, data routing, monitoring, BATHY, TESAC - , - 1st Revised Edition - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/172", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/172", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/172", "url": "https:\/\/hdl.handle.net\/11329\/172" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data acquisition", "Data storage", "Data transmission", "Data processing", "Quality control", "Salinity data", "Salinity measurement", "Salinity measuring equipment", "Surface currents", "Surface salinity", "Surface temperature", "Data acquisition", "Data storage", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2627", "name": "Citizen science in eDNA monitoring for Mediterranean monk seal conservation.", "description": " - Background Citizen Science (CS) offers a promising approach to enhance data collection and engage communities in conservation efforts. This study evaluates the use of CS in environmental DNA (eDNA) monitoring for Mediterranean monk seal conservation. We validated CS by assessing the effectiveness of a newly developed CS-friendly filtration system called \u201cWET\u201d (Water eDNA Trap) in eDNA detection, addressing technical challenges, and analysing volunteer faults. The WET is a 4-litre, manual pump-based filtering system using positive pressure to force water through the filter. We also assessed the use of a retrospective questionnaire as a tool to measure CS\u2019s social impact on participants\u2019 perceived knowledge, attitudes, and conservation behaviours. Results Results suggest the WET performs comparably to traditional methods, with minor technical issues. Despite some faults such as not folding or forgetting to change the filter, volunteers were generally reliable in sample processing. Moreover, CS involvement increased participants\u2019 perceived knowledge, affective attitudes, and conservation behaviours towards seal conservation. Volunteers reported a greater understanding of eDNA monitoring, increased interest in monk seal conservation, and more frequent conservation behaviours, including spreading awareness within their community. While these findings are exploratory due to the small sample size (19 participants) and potential ceiling effects in attitude assessment, they provide an initial validation of the questionnaire as a tool for measuring CS\u2019s social outcomes. Future studies with larger sample sizes are needed to confirm these results and investigate their applicability across broader stakeholder groups. Continuous improvement in volunteer training and equipment design is also recommended. Conclusions This study highlights CS\u2019s potential to improve public engagement and knowledge in conservation. By involving diverse participants, CS can play a critical role in long-term conservation efforts and promote sustainable coexistence between humans and monk seals. Furthermore, the validation of the questionnaire offers a valuable framework for evaluating the social impact of CS initiatives in conservation contexts. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Multi-organisational - , - Water eDNA Trap - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2627", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2627", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2627", "url": "https:\/\/hdl.handle.net\/11329\/2627" }, "author": [ { "@type": "Person", "name": "Bonicalza, Sofia" }, { "@type": "Person", "name": "Valsecchi, Elena" }, { "@type": "Person", "name": "Coppola, Emanuele" }, { "@type": "Person", "name": "Catapano, Valeria" }, { "@type": "Person", "name": "Thatcher, Harriet" } ], "keywords": [ "Conservation", "Citizen science", "eDNA", "Mediterranean monk seal", "Social impact", "Birds, mammals and reptiles", "Biota abundance, biomass and diversity", "Data acquisition", "Data quality control", "Data search and retrieval", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2535", "name": "ISO 16665:2014. Water quality \u2014 Guidelines for quantitative sampling and sample processing of marine soft-bottom macrofauna. Edition 2. [Reviewed 2019]", "description": " - ISO 16665:2014 provides guidelines on the quantitative collection and processing of subtidal soft-bottom macrofaunal samples in marine waters. ISO 16665:2014 encompasses: a) development of the sampling programme; b) requirements for sampling equipment; c) sampling and sample treatment in the field; d) sorting and species identification; e) storage of collected and processed material. ISO 16665:2014 does not specifically address the following, although some elements may be applicable: bioassay sub-sampling; deep water (>750 m) or offshore sampling; in situ faunal studies, e.g. recolonization assays; non-benthic organisms caught in the sampling device; estuarine sampling; intertidal sampling; meiofaunal sampling and analysis; sampling by dredge and sledge; self-contained underwater breathing apparatus (SCUBA) sampling; statistical design. Accuracy of position fixing is determined by the geographical area, equipment used and survey objective. - , - Published - , - Refereed - , - Current - , - 14.a - , - Invertebrate abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2535", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2535", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2535", "url": "https:\/\/hdl.handle.net\/11329\/2535" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Sampling programme", "Species identification", "Sample prcessing", "Biota abundance, biomass and diversity", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/616", "name": "Ocean Day sampling handbook. April 2016.", "description": " - The Ocean Sampling Day (OSD) Handbook, version of April 2016, is a best practice guide describing procedures and policies on the marine sample collection, logistics and bioinformatics intended primarily for marine research stations and cruises contributing to the Ocean Sampling Day event, (http:\/\/www.microb3.eu\/osd). These guidelines on the OSD sample and data collection and archiving were developed by the Micro B3 consortium to support an objective of the Micro B3 project (http:\/\/www.microb3.eu\/) to integrate global marine data with research on microbial diversity and functions. A collection of OSD samples acquired according to OSD Handbook guidelines, i.e. using standardised protocols and accompanied by a standardised set of environmental parameters, will enable molecular and morphological analysis of marine microbial biodiversity on a global scale and in a rich environmental context. OSD samples will be archived at the Smithsonian Institution National Museum of Natural History, USA, to allow their availability as technologies advances. OSD sample metadata and environmental data will be stored at the PANGAEA (http:\/\/www.pangaea.de), condensed summary of oceanographic data in the SeaDataNet (http:\/\/www.seadatanet.org\/) and morphologybased biodiversity data in the EurOBIS (http:\/\/www.eurobis.org\/). OSD sample metadata and sequence\/read data will be archived at the ENA (http:\/\/www.ebi.ac.uk\/ena\/). The Micro B3 Information System will provide a primary access to all OSD data. - , - EU - , - Published - , - Contributors: Anna Kopf, Stephane Pesant, Dick Schaap, Renzo Kottmann, Arianna Broggiato, Caroline von Kries, Tom Dedeurwaerdere, Chris Bowler, Simon Claus, Dawn Field, Mesude Bicak, Frank Oliver Gloeckner and participants of the Micro B3 Extended Executive Board Meeting, 23rd -25th of April 2014, Bremen. - , - Refereed - , - Current - , - 14.A - , - Microbe biomass and diversity - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/616", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/616", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/616", "url": "https:\/\/hdl.handle.net\/11329\/616" }, "author": [ { "@type": "Person", "name": "ten Hoopen, Petra" }, { "@type": "Person", "name": "Cochrane, Guy" } ], "contributor": [ { "@type": "Organization", "name": "Marine Microbial Biodiversity, Bioinformatics & Biotechnology (Micro B3) Project" } ], "keywords": [ "Microbial diversity", "Parameter Discipline::Biological oceanography::Bacteria and viruses" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1990", "name": "R\/V Dr. Fridtjof Nansen Video Series: Collecting dissolved oxygen samples from a CTD rosette water sampler. [Training Video]", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, this video is part of a series of videos that support the descriptions provided in the Rosette water sampling R\/V Dr. Fridtjof Nansen protocol about the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. This particular video provides a description of how to collect dissolved oxygen samples from a CTD rosette bottle. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - N\/A - , - Seabird 911plus CTD - , - SBE 32 Carousel - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1990", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1990", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1990", "url": "https:\/\/hdl.handle.net\/11329\/1990" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research (Norway) for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "CTD", "Rosette bottle", "Water sampling", "Dissolved oxygen", "Dissolved gases", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/665", "name": "Guidelines for the study of the epibenthos of subtidal environments.", "description": " - These Guidelines for the Study of the Epibenthos of Subtidal Environments document a range of sampling gears and procedures for epibenthos studies that meet a variety of needs. The importance of adopting consistent sampling and analytical practices is highlighted. Emphasis is placed on ship-based techniques for surveys of coastal and offshore shelf environments, but diver-assisted surveys are also considered. The account extends earlier work by the ICES Benthos Ecology Working Group on methods for studying the benthic communities of hard substrata (Connor, 1995; see Annex 1). It also complements the ICES Techniques in Marine Environmental Sciences (TIMES) guidelines for the study of the soft-bottom macrofauna (Rumohr, in prep.), the phytobenthos (Kautsky, in prep.), and other publications dealing with benthic sampling methods, notably Eleftheriou and McIntyre (2005). Coverage of sampling gears is not exhaustive, and others may be added in future editions. The target audience includes marine scientists new to epibenthic studies as well as established practitioners who require further detail on sampling practices in order to meet various objectives of contemporary interest. - , - Published - , - Refereed - , - Current - , - Benthic invertebrate abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/665", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/665", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/665", "url": "https:\/\/hdl.handle.net\/11329\/665" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Epibenthos", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/932", "name": "Evaluation of a lifetime\u2010based optode to measure oxygen in aquatic systems.", "description": " - In this article, we evaluate the performance of a commercially available lifetime\u2010based optode and compare it with data obtained by other methods. We performed a set of 10 different tests, including targeted laboratory evaluations and field studies, covering a wide range of situations from shallow coastal waters and wastewater treatment plants to abyssal depths. Our principal conclusion is that, owing to high accuracy (\u00b1 2 \u00b5M), long\u2010term stability (more than 20 months), lack of pressure hysteresis, and limited cross\u2010sensitivity, this method is overall more suitable for oxygen monitoring than other methods. - , - Refereed - , - Oxygen - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/932", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/932", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/932", "url": "https:\/\/hdl.handle.net\/11329\/932" }, "author": [ { "@type": "Person", "name": "Tengberg, Anders" }, { "@type": "Person", "name": "Hovdenes, Jostein" }, { "@type": "Person", "name": "Andersson, Henrik Johan" }, { "@type": "Person", "name": "Brocandel, Olivier" }, { "@type": "Person", "name": "Diaz, Robert" }, { "@type": "Person", "name": "Hebert, David" }, { "@type": "Person", "name": "Arnerich, Tony" }, { "@type": "Person", "name": "Huber, Christian" }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" }, { "@type": "Person", "name": "Khripounoff, Alexis" }, { "@type": "Person", "name": "Rey, Francisco" }, { "@type": "Person", "name": "R\u00f6nning, Christer" }, { "@type": "Person", "name": "Schimanski, Jens" }, { "@type": "Person", "name": "Sommer, Stefan" }, { "@type": "Person", "name": "Stangelmayer, Achim" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2312", "name": "Standard Operating Procedure: vessel:meteor:adcp_75khz_2175g (7480) Version 1.1: January 11, 2023", "description": " - This SOP describes device con guration, parameter characteristics, transmission and processing of its output, ingest procedure, storage, data access possibilities, and publishing. Intended user groups are device owners, technicians, and data managers. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - ADCP, Teledyne - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2312", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2312", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2312", "url": "https:\/\/hdl.handle.net\/11329\/2312" }, "author": [ { "@type": "Person", "name": "Kopte, Robert" }, { "@type": "Person", "name": "Betz, Maximilian" }, { "@type": "Person", "name": "Anselm, Norbert" } ], "contributor": [ { "@type": "Organization", "name": "Zenodo" } ], "keywords": [ "Acoustic Doppler Current Profiler", "Currents", "current profilers", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/697", "name": "Contaminants in marine organisms: Pooling strategies for monitoring mean concentrations.", "description": " - Samples of marine organisms collected for contaminant monitoring are often pooled before being chemically analysed. The main reasons for pooling samples are: 1) to obtain a sufficient quantity of tissue to make the chemical analysis possible; 2) to reduce the overall cost of chemical analyses; 3) to improve the precision of the estimated mean contaminant concentration in a population by increasing the sample size without increasing the number of chemical analyses. However, there are several questions associated with pooling, including: \u2022 what is an appropriate pooling strategy? \u2022 how should data from pools be statistically analysed? \u2022 how should results derived from pooled data be interpreted? This document is an introduction to the statistical aspects of pooling. Unfortunately, it is not possible to consider all the situations in which pooling might arise, nor to describe the many types of statistical analysis that might be appropriate. The scope is too large, and we do not know all the answers. Here consideration is given to the relatively simple case of estimating the mean concentration of a contaminant in a population; it shows the typical problems encountered in devising an appropriate pooling strategy and statistically analysing data from pools. In particular, it shows how the choice of the number of pools and the number of individuals in each pool allows a balance to be made of the precision of the estimated mean concentration against the sampling and analytical costs incurred in obtaining that estimate. Although the level of statistical sophistication increases through the text (notably between Sections 3 and 4), it is hoped that all readers will understand the basic ideas and be able to use this document to develop sensible pooling strategies. Many readers will be able to develop the theory for their own particular monitoring problems; others will no doubt correct our mistakes and direct us to the literature we have missed. Much of the following material was developed by the ICES Working Group on Statistical Aspects of Trend Monitoring (ICES, 1987, 1988, 1989, 1990, 1991a, 1992), where pooling questions were addressed as part of the analysis of data collected in the Cooperative ICES Monitoring Studies Progranune (CMP) for contaminants in fish and shellfish. The contents of this document are as follows: \u2022 Section 2 discusses some practical and logistical problems associated with sample collection and pre-treatment. I \u2022 Section 3 develops the basic statistical theory of pooling for estimating the mean concentration of a contaminant in a population. For simplicity, the individual sample weights are assumed to be the same. It is shown how to formulate objective strategies for choosing the number of pools and the number of individuals in each pool and apply the results to a real example. \u2022 Section 4 generalizes the theory to allow for varying individual sample weights. \u2022 Section 5 provides a simple overview and summarizes important points that make the statistical analysis of data from pools straightforward. \u2022 Annexes I to 3 briefly describe extensions to the statistical theory, - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/697", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/697", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/697", "url": "https:\/\/hdl.handle.net\/11329\/697" }, "author": [ { "@type": "Person", "name": "Nicholson, M. D." }, { "@type": "Person", "name": "Fryer, R. J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/163", "name": "HAB Publication Series Volume 1. Amnesic Shellfish Poisoning (ASP).", "description": " - In this manual a review is provided of the chemical and toxicological aspects of Amnesic Shellfish Poisoning (ASP). The document contains information on chemical structure, chemical data, where to obtain standards and reference materials, the origin and occurrence, chemical analysis, mouse bioassay, epidemiology, mechanisms of action, symptoms and therapeutics. The practical use of this document has been highlighted in agreement with the Members of the Task Team on Aquatic Biotoxins. This document is prepared by Dr. H. Ravn, IOC together with Prof. T. Yasumoto, Tohoku University, Japan, Chairman of the Task Team on Aquatic Biotoxins. Dr. J. Ramsdell, National Oceanic and Atmospheric Administration (NOAA), Charleston Laboratory, USA has supplied parts of the toxicological information, and the document has been kindly reviewed by Dr. M.A. Quilliam, National Research Council Canada, Institute for Marine Biosciences, Canada. - , - Published - , - Amnesic shellfish poisons, Symptoms, Therapeutics - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/163", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/163", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/163", "url": "https:\/\/hdl.handle.net\/11329\/163" }, "author": [ { "@type": "Person", "name": "Ravn, H." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Fish intoxication", "Poisonous organisms", "Fish diseases", "Shellfish", "Epidemiology", "Chemical analysis", "Shellfish", "Fish diseases", "Epidemiology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1168", "name": "Guide to marine meteorological services. 2018 edition.", "description": " - Weather information has always been vital for the safety and efficient operation of marine industries, particularly transport and fishing. Early in the twentieth century, wireless telegraphy allowed regular communication between ship and shore, and weather broadcasts to shipping began. The first International Convention for the Safety of Life at Sea (SOLAS Convention) called for all shipping lanes and fishing grounds to be covered with weather information broadcast by radio; governments agreed to share responsibilities for these broadcasts. The International Maritime Organization (IMO)\/WMO Worldwide Met-Ocean Information and Warning Service (WWMIWS) provides uniform coverage of forecasts and warnings to ships traversing the oceans. The IMO Polar Code provides additional guidance on the provision of suitable marine meteorological and sea-ice services to support safe shipping in polar waters.The availability of marine forecasts and warnings to mariners in coastal waters is vitally important to the ability of National Meteorological and Hydrological Services (NMHSs) to meet the principles of the SOLAS Convention.Internationally agreed methods of providing services to the marine community around the world are described in the Manual on Marine Meteorological Services (WMO-No. 558), Volume I. The purpose of this Guide is to complement the Manual by:(a) Describing the requirements for the various types of service;(b) Explaining the rationale for the agreed methods of providing services;(c) Giving guidance on how to set up and maintain marine meteorological services. It follows the same structure as the Manual on Marine Meteorological Services. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1168", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1168", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1168", "url": "https:\/\/hdl.handle.net\/11329\/1168" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Atmosphere::Meteorology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/551", "name": "Recent advances in biofouling protection for oceanographic instrumentation.", "description": " - Although biofouling continues to be one of the most significant factors limiting the long-term deployment of oceanographic instrumentation, recent advances in technology advances are providing highly effective mitigation of this problem. The use of foul release coatings in conjunction with other biofouling control methods and best practices provide significant improvements in instrument deployment times and reductions in maintenance schedules. This paper examines the combinations of technologies and best practices for the biofouling control of oceanographic instruments and their associated platforms. - , - Published - , - Authors preprint - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/551", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/551", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/551", "url": "https:\/\/hdl.handle.net\/11329\/551" }, "author": [ { "@type": "Person", "name": "Lobe, Hank" } ], "contributor": [ { "@type": "Organization", "name": "MTS\/IEEE" } ], "keywords": [ "Biofouling", "Coatings", "Sensors", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/563", "name": "Patterns and Projections of High Tide Flooding along the U.S. Coastline Using a Common Impact Threshold.", "description": " - For forecasting purposes to ensure public safety, NOAA has established three coastal flood severity thresholds. The thresholds are based upon water level heights empirically calibrated to NOAA tide gauge measurement s from years of impact monitoring by its Weather Forecast Offices (WFO) and emergency managers. When minor (more disruptive than damaging), moderate (damaging) or major (destructive) coastal flooding is anticipated (not associated with tropical storms), NOAA issues either a flood advisory (for minor) or warning (for moderate or major). L ess than half of NOAA tide gauges located along the U.S. coastline have such \u2018official\u2019 NOAA flood thresholds, and where they exist, the heights can vary substantially (e.g., 0.3 \u20130.6 m eter within minor category). They differ due to the extent of infrastructure vulnerabilities, which vary by topography and relief , land -cover types or existing flood defenses. We find that all official NOAA coastal flood thresholds share a comm on pattern based upon the local tide range (possibly in response to systematic development ordinances). Minor, moderate and major coastal flooding typically begin about 0.5 m , 0.8 m and 1.2 m above a height slightly higher than the multi -year average of the daily highest water levels measured by NOAA tide gauges. Based upon this statistical (regression -based) relationship, a \u2018derived\u2019 set of flood threshold proxies for minor, moderate or major impacts are permissible for almost any location along the U.S. c oastline. The intent of this report is not to supplant knowledge about local flood risk. Rather, the intention is to provide an objective and nationally consistent set of impact thresholds for minor\/moderate\/major coastal flooding. Suc h definitions are currently lacking, which limits the ability to deliver new products as well as the effectiveness of existing coastal flood products. Coastal communities along all U.S. coastlines need consistent guidance about flooding, which is 1) forecasted in the near fut ure (e.g., severity\/depth of 4 -day predictions of storm surge heights \u2018above ground level\u2019), 2) likely in the coming season or year (e.g., probabilistic outlooks) or 3) possible over the longer term (e.g., decadal to end-of -century scenarios). Our primary emphasis is to use the derived threshold for minor flooding, which we refer to as \u2018high tide\u2019 flooding (also known as \u2018nuisance\u2019, \u2018sunny day\u2019 and \u2018recurrent tidal\u2019 flooding), to assess nationally how exposure \u2014and potential vulnerability \u2014to high tide floodi ng has and will continue to change with changing sea levels - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/563", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/563", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/563", "url": "https:\/\/hdl.handle.net\/11329\/563" }, "author": [ { "@type": "Person", "name": "Sweet, W.V" }, { "@type": "Person", "name": "Dusek, G" }, { "@type": "Person", "name": "Obeysekera, J" }, { "@type": "Person", "name": "Marra, J.J" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Coastal flooding", "Flood risk", "Parameter Discipline::Physical oceanography", "Tide gauge" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1499", "name": "Measuring Performances, Skill and Accuracy in Operational Oceanography: New Challenges and Approaches.", "description": " - Operational oceanography is now established in many countries, focusing on global, regional, or coastal areas, and targeting different aspects of the \u00ab blue \u00bb, \u00ab white \u00bb or \u00ab green \u00bb ocean processes in order to provide reliable information to users. There are nowadays a large variety of interests and users, with different disciplines and levels of expertise. Validation and verification of operational products and systems are evolving in order to anticipate user\u2019s needs, and better quantify the level of confidence on all these variety of ocean products. Operational oceanography evaluation development is in front of key issues: Ocean models are reaching the submesoscale description, which is currently not adequately observed; many products are available now for a given ocean variable, and often discrepancies are larger than similarities; real time forecasting systems are also challenged by reanalyses or reprocessed time series; operational systems are getting more complex, with coupled modelling, where errors from the different compartment need to be carefully addressed in order to measure their performance and provide further improvements. In parallel, the global ocean observing system is continuously completed with additional satellites in the constellation, with innovative sensors on new satellite missions, with efforts to better integrate the global, regional and coastal in-situ observing capabilities, and the design of new instrument, like the BGC-Argo that should bring an enhanced description of the ocean biogeochemical variability. This book chapter provides an overview of the existing, mature, validation and verification science in operational oceanography; discusses the ongoing efforts and new strategies; presents some of the structured groups and outcomes; and lists a series of challenges on the field. - , - Published - , - Refereed - , - Current - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1499", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1499", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1499", "url": "https:\/\/hdl.handle.net\/11329\/1499" }, "author": [ { "@type": "Person", "name": "Hernandez, Fabrice" }, { "@type": "Person", "name": "Smith, Greg" }, { "@type": "Person", "name": "Baetens, Katrijn" }, { "@type": "Person", "name": "Cossarini, Gianpiero" }, { "@type": "Person", "name": "Garcia- Hermosa, Isabel" }, { "@type": "Person", "name": "Dr\u00e9villon, Marie" }, { "@type": "Person", "name": "Maksymczuk, Jan" }, { "@type": "Person", "name": "Melet, Ang\u00e9lique" }, { "@type": "Person", "name": "R\u00e9gnier, Charly" }, { "@type": "Person", "name": "Schuckmann, Karina von" } ], "contributor": [ { "@type": "Organization", "name": "GODAE OceanView" } ], "keywords": [ "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2357", "name": "JERICO-S3 D5.4 \u2013 WP5 - Recommendation for Multiplatform implementation of a biogeochemical NRT observatory. Version 2.1.", "description": " - This Deliverable provides recommendations for multiplatform implementation of near real-time biogeochemical observations within the JERICO-S3 coastal observing framework. Near real-time sensor-based observations of the biogeochemical Essential Ocean Variables (EOVs) \u2013 dissolved oxygen, inorganic carbon, dissolved organic matter, and nutrients \u2013 are described in the first section of the Main Report. This is followed by five examples from JERICO-S3 Integrated Regional Sites (IRS) and Pilot Supersites (PSS) where multiplatform biogeochemical observations have been carried out, and how multiplatform observations have been performed. The main recommendations, due in part to the high degree of difficulty in making high quality biogeochemical observations, include utilising a well-constrained (near) real-time quality control (QC) system informed by existing datasets and model outputs, validate\/compare observations made by complementary observing platforms (including other autonomous platforms, remote sensing products, etc.; i.e., multiplatform approach), and finally validation via traditional oceanographic (research vessel-based) sampling and laboratory analytical techniques. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Oxygen - , - Inorganic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Biogeochemcial variables - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2357", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2357", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2357", "url": "https:\/\/hdl.handle.net\/11329\/2357" }, "author": [ { "@type": "Person", "name": "King, Andrew" }, { "@type": "Person", "name": "Marty, Sabine" }, { "@type": "Person", "name": "Roden, Nicholas" }, { "@type": "Person", "name": "Frigstad, Helene" }, { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Ntoumas, Manolis" }, { "@type": "Person", "name": "Frangoulis, Constantin" }, { "@type": "Person", "name": "Cantoni, Carolina" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO S3" } ], "keywords": [ "Carbon, nitrogen and phosphorus", "Carbonate system", "Dissolved gases", "Nutrients", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/440", "name": "Choosing between strategies for designing surveys: autonomous underwater vehicles.", "description": " - 1. Autonomous underwater vehicles (AUV), which collect images of marine habitats, are now an established sampling tool. The use of AUVs is becoming more widespread as they offer a non-destructive method to survey substantial spatial areas. The design of AUV surveys has historically been based on expert knowledge andAUVspecific considerations, such as reducing geolocation error. The expert knowledge encompasses intuition, previous surveying experiences and holistic knowledge of the study region. 2. We investigate the statistical aspects to AUV survey design for estimation of percentage cover of key benthic biota. We investigate the presence of spatial autocorrelation in AUV data using model-based geostatistics and examine the effect of autocorrelation on survey design by examining different design strategies \u2013 methods for placing AUV transects. The design strategies are assessed by inspecting the expected bias and the expected standard deviation ofmodel predictions, where the model depends on the choice of design. 3. The AUV data exhibited a wide range of autocorrelation, from non-existent to substantial. The design strategies varied in their statistical performance and nearly all strategies had shortcomings. Design strategies that were consistently poor performers had (i) transects placed in parallel in a single spatial dimension and (ii) made no attempt to spread out the transects in space. The superior design types had more transect-to-transect separation (but not toomuch) and effectively spanned important covariates. 4. The results give guidelines to researchers designing AUV surveys for biological mapping and for monitoring. In particular, we demonstrate that any spatial design should seek spatial balance, such as would be introduced by a systematic or stratified component within a randomized design. Knowledge of the system under study should be incorporated and, if possible, should be done so in a formalmanner that is objective and repeatable. - , - Refereed - , - 14.2 - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/440", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/440", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/440", "url": "https:\/\/hdl.handle.net\/11329\/440" }, "author": [ { "@type": "Person", "name": "Foster, Scott D." }, { "@type": "Person", "name": "Hosack, Geoffrey R." }, { "@type": "Person", "name": "Hill, Nicole A." }, { "@type": "Person", "name": "Barrett, Neville S." }, { "@type": "Person", "name": "Lucieer, Vanessa L." } ], "keywords": [ "AUV", "Atonomous underwater vehicles", "Autocorrelation", "Geostatistics", "GRTS", "Integrated nested laplace approximation", "Matern", "Model based design", "Temperate reef" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1191", "name": "SMART Cables for Observing the Global Ocean: Science and Implementation.", "description": " - The ocean is key to understanding societal threats including climate change, sea level rise, ocean warming, tsunamis, and earthquakes. Because the ocean is difficult and costly to monitor, we lack fundamental data needed to adequately model, understand, and address these threats. One solution is to integrate sensors into future undersea telecommunications cables. This is the mission of the SMART subsea cables initiative (Science Monitoring And Reliable Telecommunications). SMART sensors would \u201cpiggyback\u201d on the power and communications infrastructure of a million kilometers of undersea fiber optic cable and thousands of repeaters, creating the potential for seafloor-based global ocean observing at a modest incremental cost. Initial sensors would measure temperature, pressure, and seismic acceleration. The resulting data would address two critical scientific and societal issues: the longterm need for sustained climate-quality data from the under-sampled ocean (e.g., deep ocean temperature, sea level, and circulation), and the near-term need for improvements to global tsunami warning networks. A Joint Task Force (JTF) led by three UN agencies (ITU\/WMO\/UNESCO-IOC) is working to bring this initiative to fruition. This paper explores the ocean science and early warning improvements available from SMART cable data, and the societal, technological, and financial elements of realizing such a global network. Simulations show that deep ocean temperature and pressure measurements can improve estimates of ocean circulation and heat content, and cable-based pressure and seismic-acceleration sensors can improve tsunami warning times and earthquake parameters. The technology of integrating these sensors into fiber optic cables is discussed, addressing sea and land-based elements plus delivery of real-time open data products to end users. The science and business case for SMART cables is evaluated. SMART cables have been endorsed by major ocean science organizations, and JTF is working with cable suppliers and sponsors, multilateral development banks and end users to incorporate SMART capabilities into future cable projects. By investing now, we can build up a global ocean network of long-lived SMART cable sensors, creating a transformative addition to the Global Ocean Observing System. - , - Refereed - , - 14 - , - TRL 2 Technology concept and\/or application formulated - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-10-31 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1191", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1191", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1191", "url": "https:\/\/hdl.handle.net\/11329\/1191" }, "author": [ { "@type": "Person", "name": "Howe, Bruce M." }, { "@type": "Person", "name": "Arbic, Brian K." }, { "@type": "Person", "name": "Aucan, J\u00e9rome" }, { "@type": "Person", "name": "Barnes, Christopher R." }, { "@type": "Person", "name": "Bayliff, Nigel" }, { "@type": "Person", "name": "Becker, Nathan" }, { "@type": "Person", "name": "Butler, Rhett" }, { "@type": "Person", "name": "Doyle, Laurie" }, { "@type": "Person", "name": "Elipot, Shane" }, { "@type": "Person", "name": "Johnson, Gregory C." }, { "@type": "Person", "name": "Landerer, Felix" }, { "@type": "Person", "name": "Lentz, Stephen" }, { "@type": "Person", "name": "Luther, Douglas S." }, { "@type": "Person", "name": "M\u00fcller, Malte" }, { "@type": "Person", "name": "Mariano, John" }, { "@type": "Person", "name": "Panayotou, Kate" }, { "@type": "Person", "name": "Rowe, Charlotte" }, { "@type": "Person", "name": "Ota, Hiroshi" }, { "@type": "Person", "name": "Song, Y. Tony" }, { "@type": "Person", "name": "Thomas, Maik" }, { "@type": "Person", "name": "Thomas, Preston N." }, { "@type": "Person", "name": "Thompson, Philip" }, { "@type": "Person", "name": "Tilmann, Frederik" }, { "@type": "Person", "name": "Weber, Tobias" }, { "@type": "Person", "name": "Weinstein, Stuart" } ], "keywords": [ "Ocean circulation", "UN Joint Task Force for SMART cables", "Subsea cables", "Telecommunication cables", "Tsunami Early Warning", "Ocean cabled observatories", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::submarine cables" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1072", "name": "OGC Augmented Reality Markup Language 2.0 (ARML 2.0), Version 1.0.", "description": " - This OGC\u00ae Standard defines the Augmented Reality Markup Language 2.0 (ARML 2.0). ARML 2.0 allows users to describe virtual objects in an Augmented Reality (AR) scene with their appearances and their anchors (a broader concept of a location) related to the real world. Additionally, ARML 2.0 defines ECMA Script bindings to dynamically modify the AR scene based on user behavior and user input. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1072", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1072", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1072", "url": "https:\/\/hdl.handle.net\/11329\/1072" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/531", "name": "Manual on Codes International Codes Volume I.1 Annex II to the WMO Technical Regulations Part A \u2013 Alphanumeric Codes. 2011 edition, Updated in 2017,", "description": " - Volume I of the Manual on Codes contains WMO international codes for meteorological data and other geophysical data relating to meteorology; it constitutes Annex II to the Technical Regulations (WMONo. 49) and has therefore the status of a Technical Regulation. It is issued in three volumes: Volume I.1, containing Part A; Volume I.2, containing Part B and Part C; and Volume I.3 containing Part D. Coded messages are used for the international exchange of meteorological information comprising observational data provided by the World Weather Watch (WWW) Global Observing System and processed data provided by the WWW Global Data-processing and Forecasting System. Coded messages are also used for the international exchange of observed and processed data required in specific applications of meteorology to various human activities and for exchanges of information related to meteorology. The codes are composed of a set of CODE FORMS and BINARY CODES made up of SYMBOLIC LETTERS (or groups of letters) representing meteorological or, as the case may be, other geophysical elements. In messages, these symbolic letters (or groups of letters) are transcribed into figures indicating the value or the state of the elements described. SPECIFICATIONS have been defined for the various symbolic letters to permit their transcription into figures. In some cases, the specification of the symbolic letter is sufficient to permit a direct transcription into figures. In other cases, it requires the use of CODE FIGURES, the specifications of which are given in CODE TABLES. Furthermore, a certain number of SYMBOLIC WORDS and SYMBOLIC FIGURE GROUPS have been developed for use as code names, code words, symbolic prefixes or indicator groups. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/531", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/531", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/531", "url": "https:\/\/hdl.handle.net\/11329\/531" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological services", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Metadata management", "Data Management Practices::Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2007", "name": "Guidelines for monitoring of radioactive substances.", "description": " - Routine station network for regular monitoring programme is recommended as indicated in the following list and maps. Sampling frequency is once a year. Additional stations and samples are recommended, and reporting of the results accordingly. At open sea stations both surface and near-bottom sea water samples are recommended. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2007", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2007", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2007", "url": "https:\/\/hdl.handle.net\/11329\/2007" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Radioactive waste", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1656", "name": "Nutrient methods.", "description": " - The phytoplankton macro nutrients nitrate, nitrite, silicate, and phosphate in seawater are analyzed using colorimetric assays. Ammonium concentrations are determined using a fluorometric assay. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Multi-organisational - , - QuAAtro continuous segmented flow autoanalyzer (SEAL Analytical). - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1656", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1656", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1656", "url": "https:\/\/hdl.handle.net\/11329\/1656" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Nutrient Analysis", "Nitrate", "Nitrite", "Silicate", "Phosphate", "Ammonium", "Nutrients", "Phytoplankton", "nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1432", "name": "Recommendations for CMEMS on standard NetCdf format for tide gauge data: EuroGOOS Tide Gauge Task Team (In collaboration with GLOSS and CMEMS representatives), October 2017, Update to May 2017 version.", "description": " - The EuroGOOS Tide Gauge Task Team has discussed with CMEMS and GLOSS (Global Sea Level Observing System) representatives about adoption of commonNetCdf standards for sea level data from tide gauges. - , - Published - , - Current - , - 14.A - , - Sea surface height - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1432", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1432", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1432", "url": "https:\/\/hdl.handle.net\/11329\/1432" }, "author": [ { "@type": "Person", "name": "P\u00e9rez G\u00f3mez, Bego\u00f1a" }, { "@type": "Person", "name": "Hammarlinkdt, Thomas" }, { "@type": "Person", "name": "Hibbert, Angela" }, { "@type": "Person", "name": "Raicich, Fabio" }, { "@type": "Person", "name": "Marcos, Marta" }, { "@type": "Person", "name": "Testut, Laurent" }, { "@type": "Person", "name": "Westbrook, Guy" }, { "@type": "Person", "name": "Bradshaw, Elizabeth" }, { "@type": "Person", "name": "Mathews, Andy" }, { "@type": "Person", "name": "De Alfonso, Marta" }, { "@type": "Person", "name": "Manzano, Fernando" } ], "contributor": [ { "@type": "Organization", "name": "EUROGOOS" } ], "keywords": [ "Tide gauges", "Parameter Discipline::Physical oceanography::Sea level", "Instrument Type Vocabulary::sea level recorders", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2590", "name": "Environmental DNA expeditions in UNESCO World Heritage Marine Sites: field sampling booklet; detailed instruction on how to use the sampling kits.", "description": " - This Field Sampling Booklet contains the information required to perform sampling in the field during the sampling day. The instructions are also available in video format through the sample registration application (see page 4), and in an infographic on the sample information sheets provided with the sampling kits. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2590", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2590", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2590", "url": "https:\/\/hdl.handle.net\/11329\/2590" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Citizen science", "Environmental DNA sampling", "eDNA", "UNESCO World Heritage Marine Sites", "Water samples", "Other biological measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1137", "name": "OGC\u00ae Moving Features Encoding Part I: XML Core. Version 1.0.2.", "description": " - This OGC\u00ae Standard specifies standard encoding representations of movement of geographic features. The primary use case is information exchange. - , - Published - , - Refereed - , - Current - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1137", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1137", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1137", "url": "https:\/\/hdl.handle.net\/11329\/1137" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Implementation Standard", "XML Core" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2109", "name": "Evaluating benthic flux measurements from a gradient flux system.", "description": " - Multiple methods exist to measure the benthic flux of dissolved oxygen (DO), but many are limited by short deployments and provide only a snapshot of the processes occurring at the sediment\u2013water interface. The gradient flux (GF) method measures near bed gradients of DO and estimates the eddy diffusivity from existing turbulence closure methods to solve for the benthic flux. This study compares measurements at a seagrass, reef, and sand environment with measurements from two other methods, eddy covariance and benthic chambers, to highlight the strengths, weaknesses, and uncertainty of measurements being made. The results show three major areas of primary importance when using the GF method: (1) a sufficient DO gradient is critical to use this method and is limited by the DO sensor precision and gradient variability; (2) it is important to use similar methods when comparing across sites or time, as many of the methods showed good agreement but were often biased larger or smaller based on the method; and (3) in complex bottom types, estimates of the length scale and placement of the DO sensors can lead to large sources of error. Careful consideration of these potential errors is needed when using the GF method, but when properly addressed, this method showed high agreement with the other methods and may prove a useful tool for measuring long-term benthic fluxes of DO or other chemical sensors or constituents of interest that are incompatible with other methods. - , - Refereed - , - 14.a - , - Mature - , - Oxygen - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2109", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2109", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2109", "url": "https:\/\/hdl.handle.net\/11329\/2109" }, "author": [ { "@type": "Person", "name": "Coogan, Jeff" }, { "@type": "Person", "name": "Rheuban, Jennie E." }, { "@type": "Person", "name": "Long, Matthew H." } ], "keywords": [ "Gradient flux", "Dissolved oxygen", "Dissolved gases", "Data analysis", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1680", "name": "CalCOFI CTD FAQ.", "description": " - General practices & notes on CalCOFI's Seabird 911\/911+ CTD-Rosette - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD-Rosette Seabird 911\/911+ - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1680", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1680", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1680", "url": "https:\/\/hdl.handle.net\/11329\/1680" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2200", "name": "Computer Prediction of Seawater Sensor Parameters in the Central Arctic Region Based on Hybrid Machine Learning Algorithms.", "description": " - In recent years, with the large-scale reduction of Arctic sea ice, the supplement of chlorophyll sensor data in seawater has become an essential part of environmental assessment. Accurately predicting the chlorophyll sensor data in seawater is of great significance to protect the Arctic marine ecological environment. A machine learning prediction method combined with wavelet transform is proposed. This process uses data from upper ocean observation buoys placed in the Arctic Ocean (A.O.) to predict the sensor analogue of chlorophyll-a (C.A.) in the upper ocean of the Arctic Ocean. Choose the best wavelet transform method and prevent the LSTM gradient from disappearing. A model combining SAE (stacked autoencoder) Bi (bidirectional) LSTM (long short-term memory) and wavelet transform is proposed. Experiments were conducted to compare the predictive performance of buoy data input as univariate at two different times and locations in the Arctic Ocean. The results show that compared with other models (such as LSTM), in the SAE Bi LSTM model, the data of the two sites have the highest prediction accuracy. The best wavelet transform methods are fourth-order four-layer and first-order four-layer. The observational data of the Chukchi Sea from 2018 to 2019 obtained the best prediction results. The root mean square error (RMSE) value is 0.02003 volts; the average absolute error (MAE) is 0.0841 volts. This research provides a new method for predicting the chlorophyll sensor parameters in the upper ocean through the sea ice buoy observed at a given point, which helps to improve the accuracy of the ocean sensor parameter prediction on the Arctic ice buoy. - , - Refereed - , - 14.1 - , - Chlorophyll sensor data - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2200", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2200", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2200", "url": "https:\/\/hdl.handle.net\/11329\/2200" }, "author": [ { "@type": "Person", "name": "Wang, Yuchen" }, { "@type": "Person", "name": "Guo, Jingxue" }, { "@type": "Person", "name": "Yang, Zhe" }, { "@type": "Person", "name": "Dou, Yinke" }, { "@type": "Person", "name": "Chang, Xiaomin" }, { "@type": "Person", "name": "Sun, Ruina" }, { "@type": "Person", "name": "Zuo, Guangyu" }, { "@type": "Person", "name": "Yang, Wangxiao" }, { "@type": "Person", "name": "Liang, Ce" }, { "@type": "Person", "name": "Hao, Yanzhao" }, { "@type": "Person", "name": "Liu, Jianlong" } ], "keywords": [ "Ice buoy measurement", "Neural networks", "Other organic chemical measurements", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1541", "name": "Product User Manual for In Situ TAC products INSITU_GLO_UV_NRT_OBSERVATIONS_013_048. Issue 2.1", "description": " - This Product User Manual describes the INSITU_GLO_UV_NRT_OBSERVATIONS_013_048 product distributed by the Copernicus Marine Service In Situ Thematic Assembly Centre (CMEMS INS-TAC): how it is built, what is the content, what data services are available to access them, and how to use the files. This product concerns four real-time datasets dedicated to near-surface currents measurements coming from two platform categories (Lagrangian surface drifters and High Frequency radars): \u25cf drifter: near-surface zonal and meridional raw velocities measured by drifting buoys, wind & wind stress components, quality flags and metadada. These surface observations are part of the DBCP\u2019s Global Drifter Program (see Table 1) \u25cf drifter_filt: near-surface zonal and meridional velocities and 3-day filtered (with a Lanczos filter) velocities measured by drifting buoys. All the platforms are gathered together and concatenated in concatenated daily files. \u25cf radar_total: near-surface zonal and meridional raw velocities measured by High Frequency radars (HFR), standard deviation of near-surface zonal and meridional raw velocities, Geometrical Dilution of Precision (GDOP), quality flags and metadata. These surface observations are part of the European HF radar Network (see Mader et al, 2017 and Corgnati et al., 2018) \u25cf radar_radial: near-surface zonal and meridional components of raw radial velocities measured by HFRs, magnitude and direction of near-surface zonal and meridional components of raw radial velocities (measured in the radial directions covered by each of the HFR stations), standard deviation of near-surface zonal and meridional components of raw radial velocities, quality flags and metadata. These surface observations are part of the European HF radar Network (see Mader et al, 2017 and Corgnati et al., 2018) \u25cf Argo: ocean currents derived from the original trajectory data from Argo GDAC (Global Data Assembly Center). Deep current is calculated from floats drift at parking depth, surface current is calculated from float surface drift. The INS-TAC aims at providing a research and operational framework to develop and deliver in situ observations and derived products based on such observations, to address progressively global (GLO) but also regional needs either for monitoring, modelling or downstream service development. - , - Published - , - Refereed - , - Current - , - 14.A - , - Surface currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1541", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1541", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1541", "url": "https:\/\/hdl.handle.net\/11329\/1541" }, "author": [ { "@type": "Person", "name": "Verbrugge, N." }, { "@type": "Person", "name": "Etienne, H." }, { "@type": "Person", "name": "Boone, Christine" }, { "@type": "Person", "name": "Mader, J." }, { "@type": "Person", "name": "Corgnati, L." }, { "@type": "Person", "name": "Mantovani, C." }, { "@type": "Person", "name": "Reyes, E." }, { "@type": "Person", "name": "Rubio, A." }, { "@type": "Person", "name": "Rotll\u00e1n, P." }, { "@type": "Person", "name": "Asensio, J.L." }, { "@type": "Person", "name": "Carval, T." } ], "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environmental Monitoring Service (CMEMS)\/Mercator Ocean" } ], "keywords": [ "Radar", "Drifters", "Argo", "Datasets", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2212", "name": "Benthic-pelagic coupling in the Barents Sea: an integrated data-model framework.", "description": " - The Barents Sea is experiencing long-term climate-driven changes, e.g. modification in oceanographic conditions and extensive sea ice loss, which can lead to large, yet unquantified disruptions to ecosystem functioning. This key region hosts a large fraction of Arctic primary productivity. However, processes governing benthic and pelagic coupling are not mechanistically understood, limiting our ability to predict the impacts of future perturbations. We combine field observations with a reaction-transport model approach to quantify organic matter (OM) processing and disentangle its drivers. Sedimentary OM reactivity patterns show no gradients relative to sea ice extent, being mostly driven by seafloor spatial heterogeneity. Burial of high reactivity, marine-derived OM is evident at sites influenced by Atlantic Water (AW), whereas low reactivity material is linked to terrestrial inputs on the central shelf. Degradation rates are mainly driven by aerobic respiration (40-75%), being greater at sites where highly reactive material is buried. Similarly, ammonium and phosphate fluxes are greater at those sites. The present-day AW-dominated shelf might represent the future scenario for the entire Barents Sea. Our results represent a baseline systematic understanding of seafloor geochemistry, allowing us to anticipate changes that could be imposed on the pan-Arctic in the future if climate-driven perturbations persist. This article is part of the theme issue 'The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning'. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2212", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2212", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2212", "url": "https:\/\/hdl.handle.net\/11329\/2212" }, "author": [ { "@type": "Person", "name": "Freitas, Felipe S." }, { "@type": "Person", "name": "Hendry, Katharine R." }, { "@type": "Person", "name": "Henley, Sian F." }, { "@type": "Person", "name": "Faust, Johan C." }, { "@type": "Person", "name": "Tessin, Allyson C." }, { "@type": "Person", "name": "Stevenson, Mark A." }, { "@type": "Person", "name": "Abbott, Geoffrey D." }, { "@type": "Person", "name": "Marz, Christian" }, { "@type": "Person", "name": "Arndt, Sandra" } ], "keywords": [ "Organic matter reactivity", "Degredation rates", "Nutrient fluxes", "Reaction-transport model", "Other organic chemical measurements", "Data aggregation", "Data analysis", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1076", "name": "Laboratory Methods for the Analysis of Microplastics in the Marine Environment: Recommendations for quantifying synthetic particles in waters and sediments.", "description": " - This document is a methods manual for measuring microplastic in the environment. This manual outlines step-by-step instructions for quantifying microplastic in marine environmental samples, including processes to streamline terminology and approaches. The methods described here were determined after careful study and laboratory work conducted through a grant from the NOAA Marine Debris Program to the University of Washington, Tacoma. Project goals sought to streamline the terminology and techniques used to assess microplastic concentrations in marine environmental samples, and to develop laboratory procedures to quantify microplastic particles in marine surface waters and bed sediments, as well as personal care products. An overarching aim was to provide scientists and educators with simple techniques that are reproducible and robust without requiring extensive equipment, and to describe a method that could be easily adopted by groups around the world. Depending on the study aims and environmental collection techniques, these techniques can be used to calculate concentrations of microplastics using a variety of metrics, including per piece, per mass, or per volume. Considering metrics is important for comparing results with other researchers. For guidelines and considerations when conducting microplastic analyses, as well as calculations, see the appendices. - , - Published - , - Refereed - , - Current - , - 14 - , - Particulate matter - , - Maturity Level 4 (Better Practice) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1076", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1076", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1076", "url": "https:\/\/hdl.handle.net\/11329\/1076" }, "author": [ { "@type": "Person", "name": "Masura, Julie" }, { "@type": "Person", "name": "Baker, Joel" }, { "@type": "Person", "name": "Foster, Gregory" }, { "@type": "Person", "name": "Arthur, Courtney" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Marine Debris Division" } ], "keywords": [ "Plastic debris", "Suspended solids", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1925", "name": "Federation of European Aquaculture Producers Best practices in the shellfish\/fish farming industry. [Presentation at the EATiP\/OBPS Best Practices in Aquaculture Workshop, 05 April 2022 (Online)].", "description": " - Best practice in fish farming is a working method that has been generally accepted as superior to any alternatives because it produces results that are better. Best practices are necessary to improve productivity, to assure competitiveness and apply to all the elements of the fish farming activity, from production to the market. An important element of Best practices is that they are shareable, and associations play a crucial role in spreading them. From this perspective bad practice in a farm not only creates negative externalities but also affects the reputation of the whole sector. - , - Published - , - Current - , - 14.a - , - Methodological commentary\/perspect - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1925", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1925", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1925", "url": "https:\/\/hdl.handle.net\/11329\/1925" }, "author": [ { "@type": "Person", "name": "Ojeda, Javier" }, { "@type": "Person", "name": "Milhalffy, Szilvia" } ], "contributor": [ { "@type": "Organization", "name": "Federation of European Aquaculture Producers" } ], "keywords": [ "Aquaculture", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1622", "name": "Ocean Literacy for All: a toolkit.", "description": " - The IOC-UNESCO Ocean Literacy for All A toolkit is the result of a joint work and contributions of members of this global partnership. It provides to educators and learners worldwide the innovative tools, methods, and resources to understand the complex ocean processes and functions and, as well, to alert them on the most urgent ocean issues. It also presents the essential scientific principles and information needed to understand the cause-effect relationship between individual and collective behavior and the impacts that threaten the ocean health. - , - Published - , - Original version published 2017 - , - Refereed - , - Current - , - 14.a - , - N\/A - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1622", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1622", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1622", "url": "https:\/\/hdl.handle.net\/11329\/1622" }, "author": [ { "@type": "Person", "name": "Santoro, Francesca" }, { "@type": "Person", "name": "Santin, Selvaggia" }, { "@type": "Person", "name": "Scowcroft, Gail" }, { "@type": "Person", "name": "Fauville, G\u00e9raldine" }, { "@type": "Person", "name": "Tuddenham, Peter" } ], "contributor": [ { "@type": "Organization", "name": "IOC\/UNESCO and UNESCO Venice Office" } ], "keywords": [ "Capacity development", "Training", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1546", "name": "Observation of Harmful Algal Blooms with Ocean Colour Radiometry.", "description": " - Harmful algal blooms (HABs) and eutrophication events have had a significant global impact over the past few years. The frequency of these events, and the geographic extent of toxic\/harmful algal blooms have been increasing globally. For this reason a joint working group was formed between the IOCCG and the GEOHAB Programme (now GlobalHAB) of SCOR and the Intergovernmental Oceanographic Commission (IOC) of UNESCO, tasked with producing a comprehensive guide to satellite ocean colour remote sensing of HABs. The report summarises the state of knowledge and demonstrates the suitability of various ocean colour approaches through case studies from different ecosystems, as well as operational HAB applications. The primary focus areas are the technical difficulties of using ocean colour remote sensing in optically-complex coastal waters, and the need to understand the limitations of ocean colour for deriving phytoplankton community composition. A major conclusion was that ocean colour remote sensing is effective in detecting high biomass blooms, but does not work well for low biomass blooms, which can be addressed using indirect approaches. - , - Published - , - Contributing authors: Stewart Bernard, Mariano Bresciani, Jennifer Cannizzaro, Hongtao Duan, Claudia Giardino, Patricia M. Glibert, Chuanmin Hu, Raphael M. Kudela, Tiit Kutser, Lisl Robertson Lain, Ronghua Ma, Erica Matta, Mark W. Matthews, Frank E. Muller-Karger, Grant C. Pitcher, Suzanne Roy, Blake Schaeffer, Stefan G. H. Simis, Mari\u00e9 E. Smith. Inia M. Soto, Erin Urquhart, Jennifer Wolny - , - Refereed - , - Current - , - 14.2 - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1546", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1546", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1546", "url": "https:\/\/hdl.handle.net\/11329\/1546" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Harmful Algal Blooms", "GlobalHAB", "GlobalHAB", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/655", "name": "Real Time Quality Control of biogeochemical measurements.Version 2.5. [MyOcean WP.15]", "description": " - The present version includes a more detailed description of challenges and difficulties related to real -time data quality control (RTQC) from biogeochemical (BGC) sensors as opposed to data from physical sensors has been added to this document (Section 2). The main goal of adding this information is to help the reader to understand the possibilities and limitations regarding RTQC of BGC data. For instance, there is a need to clearly distinct between bad Chlorophylla (Chl a) data caused by sensor failure and uncertain data caused by inherent natural variations in the Chl a fluorescence:Chl a concentration ratio. An extra paragraph addressing this issue has also been included in Section 1. Further progress of the current document will include a refined and extended set of real-time quality tests that can realistically be established to work on BGC data from various in situ platforms. Additions are under development and will be provided in Section 4. The following tests are under consideration for revision: Gradient\/ spike test; Range test (global + regional) ; Inter-sensor comparison ; Vertical range test; Biofouling detection test ; Parameter relationship test; Oxygen vs Chl a fluorescence ; T\/S vs fluorescence ; Day\/night; ;sun height The revised tests should be applied on a selected dataset in order to assess their validity. These revisions provide also a better roadmap for delayed mode quality control procedures. >>>>Later versions of this document starting in CMEMS, several updates have been performed https:\/\/archimer.ifremer.fr\/doc\/00251\/36232\/88265.pdf - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/655", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/655", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/655", "url": "https:\/\/hdl.handle.net\/11329\/655" }, "author": [ { "@type": "Person", "name": "Jaccard, Pierre" }, { "@type": "Person", "name": "Norli, Marit" }, { "@type": "Person", "name": "Ledang, Anna Birgitta" }, { "@type": "Person", "name": "Hjermann, Dag \u00d8ystein" }, { "@type": "Person", "name": "Reggiani, Emanuele Roberto" }, { "@type": "Person", "name": "S\u00f8rensen, Kai" }, { "@type": "Person", "name": "Wehde, Henning" }, { "@type": "Person", "name": "Kaitala, Seppo" }, { "@type": "Person", "name": "Folkestad, Are" } ], "contributor": [ { "@type": "Organization", "name": "Norwegian Institute for Water Research (NIVA)" } ], "keywords": [ "Biogeochemical sensors", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::Biological and biogeochemical models", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/973", "name": "Data Product Quality Best Practices : a white paper from the observatory best practices\/lessons learned series.", "description": " - Data Product Quality is broadly defined based on the fitness for use of data in a particular application. In this way the needs of the user dictate whether data can be considered of sufficient quality. With the increase in digital data and the separation between data generators and data users, it is important for observatories and aggregators to be clear about what their data represent and how the data have been processed. By clearly articulating these steps and utilizing community standards, data repositories can increase the trustworthiness of themselves as a resource and of their data. In this paper, we focus on this concept of trustworthiness, reliability, and user support. Specifically, this white paper examines the current trends and drivers for data quality by focusing on four key best practice topic areas: Data Quality Control Practices, Data Support Services, Metadata, and Interoperability. - , - National Science Foundation - , - Unpublished - , - Non Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/973", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/973", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/973", "url": "https:\/\/hdl.handle.net\/11329\/973" }, "author": [ { "@type": "Person", "name": "Kearney, Thomas D" }, { "@type": "Person", "name": "Smith, Leslie M" }, { "@type": "Person", "name": "Rutherford, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1867", "name": "Solutions for managing cyanobacterial blooms: A scientific summary for policy makers.", "description": " - Algae grow wherever there is water; in oceans, freshwater lakes, rivers, streams and pools. They underpin aquatic food webs, providing nutrition for animals in the system, and along with microbes, are responsible for cycling energy and nutrients throughout the environment. Problems arise when algae bloom, which is often the result of excess nutrients. These nutrients may come from a range of sources, including rainfall and associated runoff from fertilizer application and land erosion, as well as discharge from sewage and other high-nutrient sources. One of the key groups of algae that can bloom in freshwaters, marine and brackish waters is cyanobacteria (also known as blue-green algae). Cyanobacteria are technically not algae, as they are a more ancient lifeform, but they share characteristics in common with algae, including needing sunlight for photosynthesis. They are particularly prolific in calm waterbodies, such as lakes, ponds, weirs and reservoirs, or slow flowing rivers. Cyanobacteria can proliferate in these environments because longer water residence times allow many of them to grow and form blooms. They can also float on the water surface more readily than other algal groups. One of the major problems with cyanobacterial blooms, or cyanoHABs, is that some species can be toxic. Their toxins (cyanotoxins) can have diverse health effects on people and animals, ranging from mild to serious, and impacts on whole ecosystems. Water intended for human and animal consumption generally needs to be treated to remove toxins before drinking, significantly adding to the cost of supply. In many countries, testing methods for cyanotoxins are not available and people may inadvertently be exposed to these health hazards. Even when blooms are not toxic, their use of oxygen at night (= respiration), and bloom decay can result in low-oxygen conditions which kill fish and other animals. They can cause earthy\/musty or bad odours via excretory products and decomposing blooms, e.g. rotten egg smells, and can wash up on shores and affect recreational use. They can also cause severe skin irritation for swimmers. There is a wide range of within pond\/lake system management and mitigation products, methods and tools available for controlling cyanoHABs blooms. However, it is often difficult to determine which products and approaches may be most effective for a particular waterbody. This provides an overview of the products and and physical, chemical and biological solutions available for control of cyanoHABs, and some detail on their benefits and relative costs. It also points to other publications with more detailed information. - , - Published - , - Current - , - 14.1 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1867", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1867", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1867", "url": "https:\/\/hdl.handle.net\/11329\/1867" }, "author": [ { "@type": "Person", "name": "Burford, M.A." }, { "@type": "Person", "name": "Gobler, C.J." }, { "@type": "Person", "name": "Hamilton, D.P." }, { "@type": "Person", "name": "Visser, P.M." }, { "@type": "Person", "name": "Lurling, M." }, { "@type": "Person", "name": "Codd, G.A." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC" } ], "keywords": [ "Cyanobacteria", "Harmful algal blooms", "HAB", "GlobalHAB", "Blue-Green algae", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2157", "name": "Principles and best practices in data versioning for all data sets big and small. Version 1.1.", "description": " - The demand for better reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets have become so large that downloading the data is no longer feasible. Data can also be offered through web services and accessed on demand. This means that parts of the data are accessed at a remote source when needed. In this scenario, it will become increasingly important for a researcher to be able to cite the exact extract of the data set that was used to underpin their research publication. However, while the means to identify datasets using persistent identifiers have been in place for more than a decade, systematic data versioning practices are currently not available. Versioning procedures and best practices are well established for scientific software. The related Wikipedia article gives an overview of software versioning practices. The codebase of large software projects does bear some semblance to large dynamic datasets. Are therefore versioning practices for code also suitable for data sets or do we need a separate suite of practices for data versioning? How can we apply our knowledge of versioning code to improve data versioning practices? This Working Group investigated to which extent these practices can be used to enhance the reproducibility of scientific results. The Research Data Alliance (RDA) Data Versioning Working Group produced this white paper to document use cases and practices, and to make recommendations for the versioning of research data. To further adoption of the outcomes, the Working Group contributed selected use cases and recommended data versioning practices to other groups in RDA and W3C. The outcomes of the RDA Data Versioning Working Group add a central element to the systematic management of research data at any scale by providing recommendations for standard practices in the versioning of research data. These practice guidelines are illustrated by a collection of use cases. - , - Published - , - Refereed - , - Current - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2157", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2157", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2157", "url": "https:\/\/hdl.handle.net\/11329\/2157" }, "author": [ { "@type": "Person", "name": "Klump, Jens" }, { "@type": "Person", "name": "Wyborn, Lesley" }, { "@type": "Person", "name": "Wu, Mingfang" }, { "@type": "Person", "name": "Downs, Robert" }, { "@type": "Person", "name": "Asmi, Ari" }, { "@type": "Person", "name": "Ryder, Gerry" }, { "@type": "Person", "name": "Martin, Julia" } ], "contributor": [ { "@type": "Organization", "name": "Research Data Alliance (RDA)" } ], "keywords": [ "Data versioning", "Cross-discipline", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/876", "name": "Best Practices for the SeaFET\u2122 V2: Optimizing pH Data Quality.", "description": " - The SeaFET\u2122 V2 is an upgrade to the Satlantic SeaFET\u2122 pH sensor. It incorporates the same housing and DuraFET as the original SeaFET\u2122 with improved electronics and new operating characteristics for enhanced stability and reliability in long-term deployments. As with the original SeaFET\u2122, an SBE 37-SMP-ODO CTD can be integrated with the SeaFET\u2122 V2 to operate as a SeapHOx\u2122 V2, adding a pumped anti-foul flow path and CTD data corrections to pH data. Accordingly, the Deep SeapHOx\u2122 V2 utilizes the seam Deep-Sea DuraFET\u00ae sensor as the original, and has the same upgrades as the shallow versions. This guide outlines best practices for using, deploying, and interfacing with the SeaFET\u2122 V2. >>>>>>>>>>>>>> Mention of a commercial company or product within this repository content does not constitute an endorsement by UNESCO\/IOC-IODE. Use of information from this repository for publicity or advertising purposes concerning proprietary products or the tests of such products is not authorized. >>>>>>>>>>..... - , - Published - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/876", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/876", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/876", "url": "https:\/\/hdl.handle.net\/11329\/876" }, "contributor": [ { "@type": "Organization", "name": "Sea-Bird Scientific" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2367", "name": "Oceanids C2: An Integrated Command, Control, and Data Infrastructure for the Over-the-Horizon Operation of Marine Autonomous Systems.", "description": " - Long-range Marine Autonomous Systems (MAS), operating beyond the visual line-of-sight of a human pilot or research ship, are creating unprecedented opportunities for oceanographic data collection. Able to operate for up to months at a time, periodically communicating with a remote pilot via satellite, long-range MAS vehicles signi\ufb01cantly reduce the need for an expensive research ship presence within the operating area. Heterogeneous \ufb02eets of MAS vehicles, operating simultaneously in an area for an extended period of time, are becoming increasingly popular due to their ability to provide an improved composite picture of the marine environment. However, at present, the expansion of the size and complexity of these multi-vehicle operations is limited by a number of factors: (1) custom control-interfaces require pilots to be trained in the use of each individual vehicle, with limited cross-platform standardization; (2) the data produced by each vehicle are typically in a custom vehicle-speci\ufb01c format, making the automated ingestion of observational data for near-real-time analysis and assimilation into operational ocean models very dif\ufb01cult; (3) the majority of MAS vehicles do not provide machine-to-machine interfaces, limiting the development and usage of common piloting tools, multi-vehicle operating strategies, autonomous control algorithms and automated data delivery. In this paper, we describe a novel piloting and data management system (C2) which provides a uni\ufb01ed web-based infrastructure for the operation of long-range MAS vehicles within the UK\u2019s National Marine Equipment Pool. The system automates the archiving, standardization and delivery of near-real-time science data and associated metadata from the vehicles to end-users and Global Data Assembly Centers mid-mission. Through the use and promotion of standard data formats and machine interfaces throughout the C2 system, we seek to enable future opportunities to collaborate with both the marine science and robotics communities to maximize the delivery of high-quality oceanographic data for world-leading science. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2367", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2367", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2367", "url": "https:\/\/hdl.handle.net\/11329\/2367" }, "author": [ { "@type": "Person", "name": "Harris, Catherine A." }, { "@type": "Person", "name": "Lorenzo-Lopez, Alvaro" }, { "@type": "Person", "name": "Jones, Owain" }, { "@type": "Person", "name": "Buck, Justin J. H." }, { "@type": "Person", "name": "Kokkinaki, Alexandra" }, { "@type": "Person", "name": "Loch, Stephen" }, { "@type": "Person", "name": "Gardner, Thomas" }, { "@type": "Person", "name": "Phillips, Alexander B." } ], "keywords": [ "Underwater gliders", "Long-range autonomous underwater vehicles (LRAUVs)", "Long-range unmanned surface vehicles (LRUSVs)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/248", "name": "Ship-based Repeat Hydrography: a Strategy for a Sustained Global Programme. A Community White Paper developed by the Global Ocean Ship-based Repeat Hydrographic Investigations Panel for the OceanObs \u201909 Conference, Venice, Italy, 21\u201325 September 2009.", "description": " - Ship-based hydrography is the only method for obtaining high-quality measurements with high spatial and vertical resolution of a suite of physical, chemical, and biological parameters over the full ocean water column, and in areas of the ocean inaccessible to other platforms. Global hydrographic surveys have been carried out approximately every decade since the 1970s through research programs such as GEOSECS, TTO\/SAVE, WOCE \/ JGOFS, and CLIVAR. It is time to consider how future surveys can build on these foundations to create a coordinated network of sustained ship-based hydrographic sections that will become an integral component of the ocean observing system. This white paper provides scientific justification and guidelines for the development of a regular and coordinated global survey. Two types of surveys are required to meet scientific objectives: (1) a global decadal survey conducted such that each full ocean basin is observed over an approximately synoptic time-period (< 3 years), and (2) a sub-set of the decadal survey lines sampled at high-frequency (repeats every 2-3 years). Given the end date of the present sampling programs, a coordinated global survey should begin before 2012 to maintain continuity. - , - Financial support from the U.S. National Science Foundation provided for the International Ocean Carbon Coordination Project through a grant to UNESCO-IOC (OCE-0715161) and a grant to the SCOR (OCE-0608600) for the IOCCP - , - Published - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/248", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/248", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/248", "url": "https:\/\/hdl.handle.net\/11329\/248" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2067", "name": "INTAROS Community-Based Monitoring Experience Exchange Workshop Report, Qu\u00e9bec City, Qu\u00e9bec , December 11 to 12, 2017.", "description": " - This INTAROS Community-Based Monitoring Workshop was held in Qu\u00e9bec at the Qu\u00e9bec Convention Centre on December 11-12, 2017 concurrently with the Arctic Change 2017 Conference. The workshop offered an opportunity for practitioners of community-based monitoring (CBM) and observing programs from northern Canada to come together to exchange experiences and perspectives. Representatives of ten CBM programs attended; additional participants included representatives of co-management boards, northern research institutions, Inuit organizations, philanthropic organizations, and programs focused on developing or adapting tools for data management and sharing. The objective of the Quebec workshop was to facilitate exchange of ideas and information among CBM practitioners from Canada. An agenda for the workshop was developed based on input from participants. The agenda included time for brief presentations from CBM programs, breakout and plenary discussion groups, and time for networking over meals and games. The conclusions of the discussions at the workshop are summarized below. The motivations for implementing CBM programs differ but included: influencing decisions about industrial development and regulations in fishing and hunting; gaining a better understanding of the challenges and opportunities of climate change and social and human health conditions, as well as education and capacity building. Similarly, the motivation for individuals to be involved in CBM varied but included addressing the practical needs of communities. Other sources of motivation for individuals included developing a better understanding the environment, and sharing knowledge and learning from each other. There were a variety of attributes being monitored by the CBM programs in attendance, although there were still many information needs and gaps identified. A variety of people and organizations are using CBM generated information including: individuals, hunter trapper organizations, civil society organisations, industry, and government organizations at all levels, especially wildlife management agencies. Good practices are considered practices that have proven to work well for CBM programs. These included CBM practices that are supported by the community, provide capacity building opportunities, link Traditional Knowledge (TK) and science, and document TK. Trust among community members and scientists is also important. Challenges that CBM program representatives have faced included the ability to secure long term funding leading to gaps in data records over time. Other challenges included reconciling science and community priorities, linking quantitative with qualitative approaches, and meaningful dissemination of information. There were also challenges related to avoiding misconceptions of how the data can be used, timeliness of producing accessible data, community burnout, and difficulties of growing a program. Other challenges included a lack of technical support, limitations in community infrastructure and connectivity, and difficulties in influencing change. There was also a general agreement that CBM programs need to evolve, building on what we have learned rather than doing things the way they have always been done. In terms of sustainability of CBM, it was concluded that CBM sustainability can be enhanced through partnerships and working together. This could lead to shared data platforms and better coordinated efforts to reduce redundancy. CBM programs that are able to be relevant and address the needs of communities, scientists and decision makers are more likely to be sustained. With regards to contributing to decision making, it is important for CBM information to be included in decisions about industrial development. Decision makers often need to understand large scale processes. For CBM data to contribute, it needs to be interoperable (able to be analyzed across different programs). This is sometimes difficult since CBM programs and community priorities vary. With regards to data and data collection in CBM programs, methods of data collection must be culturally appropriate. Community consultation to create data sharing agreements should happen before a project is implemented. All parties need to be clear on what happens to data after it is collected. The community should have the opportunity to verify the data and decide what to make publicly available. CBM organizers need to take into account the connectivity and infrastructure of rural communities. Data and information needs to be returned to communities, not just in summary form, but also the raw data. A repository of data should be available to community members to meet current and future information needs. The technical challenges to data sharing are not as great as the jurisdictional and political challenges to data sharing. Successful CBM programs build on mutual respect and understanding, which comes from listening and educating oneself. Certain people are talented at building bridges between science and Arctic communities. CBM programs ought to hire and support these individuals. It is important to consider the implications of the CBM program on Indigenous rights. Participants recognized that working together will improve long term success of CBM. Benefits of a network could include many aspects. It could help researchers from outside the community understand where the gaps are in what is being monitored and avoid duplication of efforts. A network could contribute to better employment and training and capacity building opportunities (e.g. could potentially provide small grants to facilitate skill building and knowledge exchange of CBM programs). It could facilitate exchange of information to learn from the mistakes and successes of others, in addition to better understanding how other communities have successfully dealt with change. A network could advocate for CBM to be valued in decision making, risk management, and economic development, and for changes to funding structures. A CBM network would need to be flexible, as communities are diverse. It is important to provide benefits to network participants, and recognize that participation may vary over time. The report concludes with a number of suggested good practices and needs for CBM and observing programs in northern Canada. - , - The workshop was funded by the European Union H2020 project Integrated Arctic Observing System (INTAROS; grant no. 727890) and organized by a host committee that included representatives of INTAROS, the Exchange for Local Observations and Knowledge of the Arctic (ELOKA), the Yukon River Inter-Tribal Watershed Council (YRITWC), and the International Arctic Research Center (IARC) at University of Alaska Fairbanks (UAF). - , - Published - , - Non Refereed - , - Current - , - 2.1 - , - 2.3 - , - 2.4 - , - 3.4 - , - 14.2 - , - 14.4 - , - 15.1 - , - 15.2 - , - 15.4 - , - 15.5 - , - 15.7 - , - 15.9 - , - 16.6 - , - 16.7 - , - 16.10 - , - 17.16 - , - 17.17 - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2067", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2067", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2067", "url": "https:\/\/hdl.handle.net\/11329\/2067" }, "author": [ { "@type": "Person", "name": "Johnson, Noor" }, { "@type": "Person", "name": "Fidel, Maryann" }, { "@type": "Person", "name": "Danielsen, Finn" }, { "@type": "Person", "name": "Iversen, Lisbeth" }, { "@type": "Person", "name": "Poulsen, Michael K\u00f8ie" }, { "@type": "Person", "name": "Hauser, Donna" }, { "@type": "Person", "name": "Pulsifer, Peter" } ], "contributor": [ { "@type": "Organization", "name": "Exchange for Local Observations and Knowledge of the Arctic (ELOKA), Nordic Foundation for Development and Ecology (NORDECO), Yukon River Inter-Tribal Watershed Council (YRITWC), International Arctic Research Center (IARC) at University of Alaska Fairbanks (UAF), and Integrated Arctic Observation System (INTAROS)" } ], "keywords": [ "Environment", "Fisheries and aquaculture", "Terrestrial" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1071", "name": "OGC\u00ae WPS 2.0 Interface Standard, Version 2.0.", "description": " - In many cases geospatial or location data, including data from sensors, must be processed before the information can be used effectively. The OGC Web Processing Service (WPS) Interface Standard provides a standard interface that simplifies the task of making simple or complex computational processing services accessible via web services. Such services include well-known processes found in GIS software as well as specialized processes for spatio-temporal modeling and simulation. While the OGC WPS standard was designed with spatial processing in mind, it can also be used to readily insert non-spatial processing tasks into a web services environment. The WPS standard provides a robust, interoperable, and versatile protocol for process execution on web services. It supports both immediate processing for computational tasks that take little time and asynchronous processing for more complex and time consuming tasks. Moreover, the WPS standard defines a general process model that is designed to provide an interoperable description of processing functions. It is intended to support process cataloguing and discovery in a distributed environment. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1071", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1071", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1071", "url": "https:\/\/hdl.handle.net\/11329\/1071" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/996", "name": "SeaDataNet Cruise Summary Report (CSR) metadata profile, Version 4.0.0.", "description": " - Definition of SeaDataNet CSR metadata profile, according to ISO 19115 international standard specification, Version 4.0.0, January 2019. This document has been drafted in the context of the EU FP7 SeaDataNet II project and EU H2020 SeaDataCloud project by CNR. \u201cISO\/IEC Directives, Part 2: Rules for the structure and drafting of International Standards\u201d was used as a reference for the drafting. - , - Published - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/996", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/996", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/996", "url": "https:\/\/hdl.handle.net\/11329\/996" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "SeaDataCloud", "ISO 19115", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/725", "name": "Protocols for the Performance Verification of In situ Dissolved Oxygen Sensors: October 20, 2014, Amended December 10, 2014.", "description": " - The Alliance for Coastal Technologies (ACT) has initiated this Performance Verification of commercially available in situ dissolved oxygen (DO) sensors as a follow up to the first ACT Technology Evaluation conducted on DO sensors in 2003\/2004. Over the past 10 years, there have been significant advancements in this class of instrumentation, while the need for accurate and reliable spatially and temporally intensive measurements of DO remains a high priority in fresh, coastal and ocean waters around the world. ACT selected in situ DO sensors for its next technology evaluation based on 1) DO sensors being an NOS priority for habitat quality monitoring and ecological forecasting; and 2) a consensus from stakeholders of the need for performance information on the \u201cnext generation\u201d DO sensors that have been developed over the last decade since ACT\u2019s previous evaluation. The DO sensor verification will follow ACT\u2019s standard evaluation process. These test protocols delineate how ACT will evaluate the performance characteristics of in situ DO sensors through the collection and analysis of quality-assured environmental data. The overall goals of ACT\u2019s verification program are to provide industry with an opportunity to have a third-party (ACT) test their instruments in both controlled laboratory settings and in diverse field applications within a range of coastal environments, and to provide users of this technology with an independent and credible assessment of instrument performance. The Verification program also provides an opportunity to promote emerging technologies to the scientific and management communities. The instrument performance characteristics examined in the verification reflect the needs of the broader research and management communities. The fundamental objectives of this Performance Verification are to: (1) highlight the capabilities of particular in situ DO sensors by demonstrating their utility in a range of coastal environments; (2) verify the claims of manufacturers on the performance characteristics of commercially available DO sensors when tested in a controlled laboratory setting, and (3) verify performance characteristics of commercially available DO sensors when applied in real world applications in a diverse range of coastal environments. ACT does not certify technologies, nor guarantee that technologies will always operate at the verified standards, especially under conditions other than those used in testing; ACT does not seek to determine regulatory compliance; does not rank technologies, nor directly compare performance between specific instruments; ACT does not label, nor list technologies as \u201cacceptable\u201d or \u201cunacceptable;\u201d and does not seek to determine \u201cbest available technology\u201d in any way. ACT will avoid any statements that imply \u201cwinners or losers\u201d. Thus, although the following protocols will be used to test all instruments evaluated in this program, there will be no direct comparisons of instruments. After the tests are complete, Instrument Performance Verification Statements for each instrument will be released to the public. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/725", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/725", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/725", "url": "https:\/\/hdl.handle.net\/11329\/725" }, "author": [ { "@type": "Person", "name": "Smith, Eric" }, { "@type": "Person", "name": "Fulford, Janice" }, { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Ruberg, Steve" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1507", "name": "The CARE Principles for Indigenous Data Governance.", "description": " - Concerns about secondary use of data and limited opportunities for benefit-sharing have focused attention on the tension that Indigenous communities feel between (1) protecting Indigenous rights and interests in Indigenous data (including traditional knowledges) and (2) supporting open data, machine learning, broad data sharing, and big data initiatives. The International Indigenous Data Sovereignty Interest Group (within the Research Data Alliance) is a network of nation-state based Indigenous data sovereignty networks and individuals that developed the \u2018CARE Principles for Indigenous Data Governance\u2019 (Collective Benefit, Authority to Control, Responsibility, and Ethics) in consultation with Indigenous Peoples, scholars, non-profit organizations, and governments. The CARE Principles are people\u2013 and purpose-oriented, reflecting the crucial role of data in advancing innovation, governance, and self-determination among Indigenous Peoples. The Principles complement the existing data-centric approach represented in the \u2018FAIR Guiding Principles for scientific data management and stewardship\u2019 (Findable, Accessible, Interoperable, Reusable). The CARE Principles build upon earlier work by the Te Mana Raraunga Maori Data Sovereignty Network, US Indigenous Data Sovereignty Network, Maiam nayri Wingara Aboriginal and Torres Strait Islander Data Sovereignty Collective, and numerous Indigenous Peoples, nations, and communities. The goal is that stewards and other users of Indigenous data will \u2018Be FAIR and CARE.\u2019 In this first formal publication of the CARE Principles, we articulate their rationale, describe their relation to the FAIR Principles, and present examples of their application. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1507", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1507", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1507", "url": "https:\/\/hdl.handle.net\/11329\/1507" }, "author": [ { "@type": "Person", "name": "Carroll, Stephanie Russo" }, { "@type": "Person", "name": "Garba, Ibrahim" }, { "@type": "Person", "name": "Figueroa-Rodr\u00edguez, Oscar L." }, { "@type": "Person", "name": "Holbrook, Jarita" }, { "@type": "Person", "name": "Lovett, Raymond" }, { "@type": "Person", "name": "Materechera, Simeon" }, { "@type": "Person", "name": "Parsons, Mark" }, { "@type": "Person", "name": "Raseroka, Kay" }, { "@type": "Person", "name": "Rodriguez-Lonebear, Desi" }, { "@type": "Person", "name": "Rowe, Robyn" }, { "@type": "Person", "name": "Sara, Rodrigo" }, { "@type": "Person", "name": "Walker, Jennifer D." }, { "@type": "Person", "name": "Anderson, Jane" }, { "@type": "Person", "name": "Hudson, Maui" } ], "keywords": [ "Indigenous knowledge", "Data sovereignty", "Data governance", "Parameter Discipline::Cross-discipline", "FAIR principles", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1384", "name": "System vicarious calibration for ocean color climate change applications: Requirements for in situ data,", "description": " - System Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in thewater-leaving radiance Lw derived fromthe top of atmosphere radiance LT. This is achieved through the application of gain-factors, g-factors, to pre-launch absolute radiometric calibration coefficients of the satellite sensor corrected for temporal changes in radiometric sensitivity. The g-factors are determined by the ratio of simulated to measured spectral LT values where the former are computed using: i. highly accurate in situ Lw reference measurements; and ii. the same atmospheric models and algorithms applied for the atmospheric correction of satellite data. By analyzing basic relations between relative uncertainties of Lw and LT, and g-factors consistently determined for the same satellite mission using different in situ data sources, this work suggests that the creation of ocean color Climate Data Records (CDRs) should ideally rely on: i. one main long-term in situ calibration system (site and radiometry) established and sustained with the objective to maximize accuracy and precision over time of g-factors and thus minimize possible biases among satellite data products from differentmissions; and additionally ii. unique (i.e., standardized) atmosphericmodel and algorithms for atmospheric correction to maximize cross-mission consistency of data products at locations different from that supporting SVC. Finally, accounting for results from the study and elements already provided in literature, requirements and recommendations for SVC sites and field radiometric measurements are streamlined - , - Refereed - , - 14.A - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1384", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1384", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1384", "url": "https:\/\/hdl.handle.net\/11329\/1384" }, "author": [ { "@type": "Person", "name": "Zibordi, Giuseppe" }, { "@type": "Person", "name": "M\u00e9lin, Fr\u00e9d\u00e9ric" }, { "@type": "Person", "name": "Voss, Kenneth J." }, { "@type": "Person", "name": "Johnson, B.Carol" }, { "@type": "Person", "name": "Franz, Bryan A." }, { "@type": "Person", "name": "Kwiatkowska, Ewa" }, { "@type": "Person", "name": "Huot, Jean-Paul" }, { "@type": "Person", "name": "Wangg, Menghua" }, { "@type": "Person", "name": "Antoine, David" } ], "keywords": [ "Satellite ocean colour", "Surface radiation", "System vicarious calibration", "Climate data record", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2598", "name": "Monitoring marine plastics \u2013 will we know if we are making a difference?", "description": " - In the context of marine anthropogenic debris management, monitoring is essential to assess whether mitigation measures to reduce the amounts of waste plastic entering the environment are being effective. In South Africa, baselines against which changes can be assessed include data from the 1970s to the 1990s on microplastics floating at sea, on macro- and microplastic beach debris, and interactions with biota. However, detecting changes in the abundance of microplastics at sea is complicated by high spatial and temporal heterogeneity in net samples. Beach debris data are easier to gather, but their interpretation is complicated by the dynamic nature of debris fluxes on beaches and the increase in beach cleaning effort over time. Sampling plastic ingested by biota is a powerful approach, because animals that retain ingested plastic for protracted periods integrate plastics over space and time, but there are ethical issues to using biota as bioindicators, particularly for species that require destructive sampling (e.g. turtles, seabirds). Bioindicators could be established among fish and invertebrates, but there are technical challenges with sampling microplastics smaller than 1 mm. Fine-scale debris accumulation on beaches provides an index of macroplastic abundance in coastal waters, and offers a practical way to track changes in the amounts and composition of debris in coastal waters. However, upstream flux measures (i.e. in catchments, rivers and storm-water run-off) provide a more direct assessment of mitigation measures for land-based sources. Similarly, monitoring refuse returned to port by vessels is the best way to ensure compliance with legislation prohibiting the dumping of plastics at sea. Significance: \u2022 Monitoring is required to assess whether mitigation measures to reduce waste plastics at sea are making a difference. \u2022 Monitoring the leakage of plastic from land-based sources is best addressed on land (e.g. in storm drains and river run-off) before the plastic reaches the sea. \u2022 Illegal dumping from ships is best addressed by monitoring the use of port waste reception facilities. \u2022 Sampling plastic ingested by biota is a powerful approach, using fish and invertebrates as bioindicators for larger microplastic fragments. - , - Refereed - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2598", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2598", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2598", "url": "https:\/\/hdl.handle.net\/11329\/2598" }, "author": [ { "@type": "Person", "name": "Ryan, P.G." }, { "@type": "Person", "name": "Pichegru, L." }, { "@type": "Person", "name": "Perold, V." }, { "@type": "Person", "name": "Moloney, C.L." } ], "keywords": [ "Adaptive management", "Marine debris surveys", "Bioindicators", "Turnover", "Plastic litter", "Microplastics", "Anthropogenic contamination", "Upstream monitoring", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/905", "name": "A Suite of Field Manuals for Marine Sampling to Monitor Australian Waters.", "description": " - One of the main challenges in assessing marine biodiversity is the lack of consistent approaches to monitor it. This threatens to undermine ocean best practice in marine monitoring, as it impedes a reduction in the bias and variance of sampled data and restricts the confidence in the advice that can be given. In particular, there is potential for confounding between the monitoring methods, their measured ecological properties, and the questions they seek to answer. Australia has developed significant longterm marine monitoring and observing programs and has one of the largest marine estates, including the world\u2019s largest representative network of marine parks. This new network will require ongoing monitoring and evaluation, beyond what direct funding can support, which needs to be integrated in a standardized way with other national programs to develop sufficient monitoring capacity. The aim of this paper is to describe the process undertaken in developing a suite of field manuals that provide Standard Operating Procedures (SOPs) for marine sampling in Australian waters so that data are comparable over time and space, thereby supporting a robust, cost-effective, and objective national monitoring program. We encourage readers to refer to the complete manuals of interest at www.nespmarine.edu.au\/field-manuals. We generally limit SOP development to benthic or demersal sampling, (multibeam, autonomous underwater vehicles, baited remoted underwater video (BRUV), towed imagery, grabs and box corers, sleds and trawls), with a few exceptions (e.g., pelagic BRUVs). Collaboration was a key characteristic of our approach so rather than single groups trying to impose their standards, more than 70 individuals from over 30 organizations contributed to the first version of this field manual package. We also discuss the challenges that arose while developing these national SOPs, the associated solutions that were implemented, and the plans for ensuring their long-term maintenance and national and international uptake. We anticipate that this paper will contribute to international collaborations by evoking valuable suggestions and sharing of lessons learnt from other national initiatives so that we might work toward a global ocean best practice for biological and geoscientific monitoring of the marine environment. - , - All Field Manuals held in OBPS at https:\/\/oceanbestpractices.net\/handle\/11329\/392 - , - Refereed - , - Standard Operating Procedure - , - Guide - , - 2018-11-19 - , - 2018-11-19 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/905", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/905", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/905", "url": "https:\/\/hdl.handle.net\/11329\/905" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Bouchet, Phil" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Lucieer, Vanessa" }, { "@type": "Person", "name": "Williams, Joel" }, { "@type": "Person", "name": "Bax, Nicholas" } ], "keywords": [ "Biological sampling", "Multibeam echosounders", "Video imagery", "Box corer", "Grab", "Epibenthic sled", "Autonomous Underwater Vehicle (AUV)", "Survey design", "Marine monitoring", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1018", "name": "Australia\u2019s continental-scale acoustic tracking database and its automated quality control process.", "description": " - Our ability to predict species responses to environmental changes relies on accurate records of animal movement patterns. Continental-scale acoustic telemetry networks are increasingly being established worldwide, producing large volumes of information-rich geospatial data. During the last decade, the Integrated Marine Observing System\u2019s Animal Tracking Facility (IMOS ATF) established a permanent array of acoustic receivers around Australia. Simultaneously, IMOS developed a centralised national database to foster collaborative research across the user community and quantify individual behaviour across a broad range of taxa. Here we present the database and quality control procedures developed to collate 49.6 million valid detections from 1891 receiving stations. This dataset consists of detections for 3,777 tags deployed on 117 marine species, with distances travelled ranging from a few to thousands of kilometres. Connectivity between regions was only made possible by the joint contribution of IMOS infrastructure and researcher-funded receivers. This dataset constitutes a valuable resource facilitating meta-analysis of animal movement, distributions, and habitat use, and is important for relating species distribution shifts with environmental covariates. Design Type(s) observation design \u2022 data integration objective Measurement Type(s) animal activity monitoring Technology Type(s) Telemetry Equipment Device Factor Type(s) geographic location \u2022 Species Sample Characteristic(s) Australia \u2022 ocean biome - , - Refereed - , - 14 - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1018", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1018", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1018", "url": "https:\/\/hdl.handle.net\/11329\/1018" }, "author": [ { "@type": "Person", "name": "Hoenner, Xavier" }, { "@type": "Person", "name": "Huveneers, Charlie" }, { "@type": "Person", "name": "Steckenreuter, Andre" }, { "@type": "Person", "name": "Simpfendorfer, Colin" }, { "@type": "Person", "name": "Tattersall, Katherine" }, { "@type": "Person", "name": "Jaine, Fabrice" }, { "@type": "Person", "name": "Atkins, Natalia" }, { "@type": "Person", "name": "Babcock, Russ" }, { "@type": "Person", "name": "Brodie, Stephanie" }, { "@type": "Person", "name": "Burgess, Jonathan" }, { "@type": "Person", "name": "Campbell, Hamish" }, { "@type": "Person", "name": "Heupel, Michelle" }, { "@type": "Person", "name": "Pasquer, Benedicte" }, { "@type": "Person", "name": "Proctor, Roger" }, { "@type": "Person", "name": "Taylor, Matthew D." }, { "@type": "Person", "name": "Udyawer, Vinay" }, { "@type": "Person", "name": "Harcourt, Robert" } ], "keywords": [ "Animal tracking", "Telemetry", "Parameter Discipline::Biological oceanography::Other biological measurements", "Instrument Type Vocabulary::tracking tags", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1916", "name": "EMFF Benthic Impacts Decision Support Tool User Manual Version 4.0.", "description": " - Bottom trawl fisheries impact sedimentary habitats to various degrees. It is difficult to determine whether a fishery is causing serious or irreversible harm to a habitat objectively. Marine protected areas are areas that protect a range of nationally important, rare or threatened habitats and species. The Benthic Impacts Tool is a decision support tool and aims to aid the user (typically a regulator) in quantifying the impact of bottom towed fishing activity on sedimentary habitats. The BIT has also been designed to inform adaptive marine protected area management and therefore allows the user to consider various scenarios and their potential impacts on the Relative Benthic Status (from spatial closures, to modified gear types). - , - Natural England; JNCC; National Federation 0f Fisherman's Organizations - , - Published - , - Refereed - , - Current - , - 14.4 - , - N\/A - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1916", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1916", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1916", "url": "https:\/\/hdl.handle.net\/11329\/1916" }, "author": [ { "@type": "Person", "name": "Evans, Lowri E." }, { "@type": "Person", "name": "Shepperson, Jennifer" }, { "@type": "Person", "name": "Hiddink, Jan G." } ], "contributor": [ { "@type": "Organization", "name": "Bangor University" } ], "keywords": [ "Bottom trawl fisheries", "Benthic habitats", "Benthos", "Fishing effects", "Fisheries", "Habitat", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/636", "name": "Modeling organic iron-binding ligands in a three-dimensional biogeochemical ocean model.", "description": " - Most dissolved iron in the ocean is bound to organic molecules with strong conditional stability constants, known as ligands that are found at concentrations ranging from 0.2 to more than 10 nmol L\u2212 1. In this work we report the first mechanistic description of ligand dynamics in two three-dimensional models of ocean biogeochemistry and circulation. The model for ligands is based on the concept that ligands are produced both from organic matter remineralization and phytoplankton processes, and that they are lost through bacterial and photochemical degradation, as well as aggregation and to some extent in the process of phytoplankton uptake of ligand-bound iron. A comparison with a compilation of in-situ measurements shows that the model is able to reproduce some large-scale features of the observations, such as a decrease in ligand concentrations along the conveyor belt circulation in the deep ocean, lower surface and subsurface values in the Southern Ocean, or higher values in the mesopelagic than in the abyssal ocean. Modeling ligands prognostically (as opposed to assuming a uniform ligand concentration) leads to a more nutrient-like profile of iron that is more in accordance with data. It however, also leads to higher surface concentrations of dissolved iron and negative excess ligand L\u204e in some ocean regions. This is probably an indication that with more realistic and higher ligand concentrations near the surface, as opposed to the traditionally chosen low uniform concentration, iron modelers will have to re-evaluate their assumption of low scavenging rates for iron. Given their sensitivity to environmental conditions, spatio-temporal variations in ligand concentrations have the potential to impact primary production via changes in iron limitation. - , - Refereed - , - Dissolved organic carbon - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/636", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/636", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/636", "url": "https:\/\/hdl.handle.net\/11329\/636" }, "author": [ { "@type": "Person", "name": "V\u00f6lkera, Christoph" }, { "@type": "Person", "name": "Tagliabue, Alessandro" } ], "keywords": [ "Iron", "Organic complexation", "Dissolved organic carbon", "Parameter Discipline::Chemical oceanography::Metal and metalloid concentrations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1084", "name": "OGC\u00ae SensorML: Model and XML Encoding Standard, Version 2.0.0.", "description": " - The primary focus of the Sensor Model Language (SensorML) is to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and postmeasurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC\u2019s Sensor Web Enablement (SWE) activity. This standard is a revision of content that was previously integrated in the SensorML version 1.0 standard (OGC 07-000). - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1084", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1084", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1084", "url": "https:\/\/hdl.handle.net\/11329\/1084" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/803", "name": "Coastal Community Professionals\u2019 Use of, Satisfaction with, and Requirements for In Situ Chlorophyll Fluorometers.", "description": " - This study was conducted for the Alliance for Coastal Technologies (ACT) to assess how various parties commonly use in situ chlorophyll fluorometers, their satisfaction with the capabilities of existing models, and their requirements for instrument performance. The study entailed a survey of 50 coastal community professionals knowledgeable about in situ chlorophyll fluorometers. For the survey, telephone interviews were conducted. The telephone survey questionnaire was developed cooperatively by Responsive Management, the ACT, and knowledgeable professionals. Interviews were conducted Monday through Friday from 9:00 a.m. to 9:00 p.m., all local time. The survey was conducted in August and September of 2004. Responsive Management obtained a total of 50 completed interviews. The software used for data collection was Questionnaire Programming Language 4.1. The analysis of data was performed using Statistical Package for the Social Sciences software as well as proprietary software developed by Responsive Management. - , - Published - , - Refereed - , - Current - , - Ocean Colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/803", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/803", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/803", "url": "https:\/\/hdl.handle.net\/11329\/803" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/358", "name": "World Ocean Database 2013 Tutorial.", "description": " - The purpose of this informal tutorial is to introduce new users to the World Ocean Database 2013 (WOD13), outline the WOD13 environment, and to provide step-by-step examples of: 1) how to select WOD13 online data by location (geographically sorted by World Meteorological Organization squares); 2) use programs (wodFOR.f and wodASC.f) to read and output ASCII data; and 3) decompress data files and read data using the Ocean Data View (ODV) software. For more detailed information on WOD13 see Boyer et al., 2013 and Johnson et al., 2013 available the NODC Publications webpage. It is important to mention an alternative way of obtaining data, namely using the WOD select , which is not described in this tutorial.The WOD13 data are available in the Data Sets & Products on the NODC OCL Products webpage. Finally, this tutorial has been written for the Microsoft Windows\u00ae XP and Microsoft Windows\u00ae 7environments. - , - Published - , - For updates on data, documentation, and additional information about the WOD13 please refer to: http:\/\/www.nodc.noaa.gov\/OC5\/WOD\/wod_updates.html Recommended for deposit by Greg Reed - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/358", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/358", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/358", "url": "https:\/\/hdl.handle.net\/11329\/358" }, "author": [ { "@type": "Person", "name": "Johnson, D.R." }, { "@type": "Person", "name": "Garcia, H.E." }, { "@type": "Person", "name": "Boyer, T.P." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanographic Data Center" } ], "keywords": [ "Atlas", "WOD", "Oceanographic data", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data exchange", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1106", "name": "OGC\u00ae Catalogue Services Standard 2.0 Extension Package for ebRIM Application Profile: Earth Observation Products. Version 1.0.0.", "description": " - This document describes the mapping of Earth Observation Products \u2013 defined in the OGC\u00ae GML 3.1.1 Application schema for Earth Observation products [OGC 06- 080r4] (version 0.9.3) \u2013 to an ebRIM structure within an OGC\u00ae Catalogue 2.0.2 (Corrigendum 2 Release) [OGC 07-006r1] implementing the CSW-ebRIM Registry Service \u2013 part 1: ebRIM profile of CSW [OGC 07-110r4]. This standard defines the way Earth Observation products metadata resources are organized and implemented in the Catalogue for discovery, retrieval and management. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1106", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1106", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1106", "url": "https:\/\/hdl.handle.net\/11329\/1106" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Earth Observation Products", "ebRIM Application Profile" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1912", "name": "What does the Polar Code mean for ship safety?", "description": " - The aim is to provide for safe ship operation and the protection of the Polar environment by addressing risks present in Polar waters and not adequately mitigated by other instruments - , - International Maritime Organization - , - Published - , - Refereed - , - Current - , - 14.1 - , - N\/A - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1912", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1912", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1912", "url": "https:\/\/hdl.handle.net\/11329\/1912" }, "contributor": [ { "@type": "Organization", "name": "International Maritime Organization" } ], "keywords": [ "Shipping pollution", "Human activity", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/768", "name": "Performance Verification Statement for the FSI NXIC-CTD-BIO-AUTO Salinity Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the FSI NXIC salinity sensors evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the NXIC exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 - 32 o C with R2 = 0.9996, SE = 0.222 and slope = 0.987. The overall mean and variance of the absolute difference between instrument measured salinity and reference sample salinity for all treatments was -0.2180 \u00b10.2543 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were -0.2882 \u00b10.3303 mS\/cm and -0.0073 \u00b10.0034 oC, respectively. Across all four field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. The mean absolute difference between instrument measured salinity and reference sample salinity over the entire deployment period was -0.1116, -0.7204, -0.0018, -0.3341 and -0.0179 psu for FL, GA, HI, MI, and AK, respectively. However, these averages include the impacts of biofouling and much higher accuracy was observed at the onset of each field test. Also, the significantly greater offset at the AK test was likely due to fine-scale vertical variation within the water column which resulted in real differences between in situ measured and reference sample salinities and not due to a difference in instrument performance. Despite our best effort to sample as close as possible to the sensors, the collected reference samples may not have been homogeneous with the water mass measured by the sensor. Overall patterns in measured salinity still show excellent agreement at this site. When instrument response for the first 14 days of deployment was compared together for all five field sites, a fairly consistent and linear performance response was observed with R2 = 0.999, SE = 0.353 and slope = 0.998. These results are quite consistent with those from the laboratory tests. Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. On several occasions results of these tests were compromised, most likely because of entrainment of air bubbles in the conductivity cell. In general, there was no strong evidence for calibration drift during the period of deployment. During this evaluation, one hundred percent of the data was recovered from the instrument during the laboratory tests, all field deployment tests, and all tank exposure tests. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 1 to minus 30 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Sea surface salinity - , - Subsurface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/768", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/768", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/768", "url": "https:\/\/hdl.handle.net\/11329\/768" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/353", "name": "Onboard bioassay for seawater quality monitoring using delayed fluorescence of microalgae.", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/353", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/353", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/353", "url": "https:\/\/hdl.handle.net\/11329\/353" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology (JAMSTEC)" } ], "keywords": [ "Mining effects", "Heavy metals", "Pollution", "Sediment pollution", "Fluorescence measurement", "Environmental impact assessment", "Bioassay", "Microalgae", "Parameter Discipline::Marine geology", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1226", "name": "New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding.", "description": " - Most estimates of global mean sea-level rise this century fall below 2\u2009m. This quantity is comparable to the positive vertical bias of the principle digital elevation model (DEM) used to assess global and national population exposures to extreme coastal water levels, NASA\u2019s SRTM. CoastalDEM is a new DEM utilizing neural networks to reduce SRTM error. Here we show \u2013 employing CoastalDEM\u2014that 190\u2009M people (150\u2013250\u2009M, 90% CI) currently occupy global land below projected high tide lines for 2100 under low carbon emissions, up from 110\u2009M today, for a median increase of 80\u2009M. These figures triple SRTM-based values. Under high emissions, CoastalDEM indicates up to 630\u2009M people live on land below projected annual flood levels for 2100, and up to 340\u2009M for mid-century, versus roughly 250\u2009M at present. We estimate one billion people now occupy land less than 10\u2009m above current high tide lines, including 230\u2009M below 1\u2009m - , - Refereed - , - 14 - , - Sea surface height - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1226", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1226", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1226", "url": "https:\/\/hdl.handle.net\/11329\/1226" }, "author": [ { "@type": "Person", "name": "Kulp, Scott A." }, { "@type": "Person", "name": "Strauss, Benjamin H." } ], "keywords": [ "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/320", "name": "Report on Biofouling Prevention Methods: D4.3. (Version 1.2 - 10\/06\/2014 )", "description": " - The main aim for this report is to provide an overview of biofouling prevention practices adopted by the JERICO consortium, to evaluate new methods used by the community external to JERICO, and to provide recommendation for best practices and methodologies across the network with the aim towards a common approach. Information on practices in use were collected through a questionnaire, from the JERICO workshops, and from the literature. Furthermore, JERICO started a Biofouling Monitoring Program (BMP) aiming in identifying major organisms responsible for biofouling in different geographical area, as an input to the development and application of more suitable approach to any specific region. - , - European Commission, Joint European Research Infrastructure network for Coastal Observatories (JERICO) Project, Grant Agreement n\u00b0 262584 - , - Published - , - Permission to deposit: Patrick Farcy, Coordinator JERICO Project (jerico@ifremer.fr) 31 May 2017 - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/320", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/320", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/320", "url": "https:\/\/hdl.handle.net\/11329\/320" }, "author": [ { "@type": "Person", "name": "Faimeli, M." }, { "@type": "Person", "name": "Pavanello, G." }, { "@type": "Person", "name": "Greco, G." }, { "@type": "Person", "name": "Trentin, I." }, { "@type": "Person", "name": "Sparnocchia, S." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "Biofouling protection", "Measurements", "Quality control", "Monitoring systems", "Parameter Discipline::Environment", "Sensors", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/609", "name": "Best practices for marine litter reduction in the EU.", "description": " - CleanSea partners catalogued and evaluated the potential of voluntary institutional arrangements, understood here as good and best practices, in reducing marine litter in the four European regional seas. Good practices were defined in this study as those arrangements that have proven to be effective in delivering a contribution to marine litter reduction. Best practices were defined in this study as those good practices that demonstrate social, technological and\/or institutional innovation in a specific category of the waste hierarchy. Understanding good and best practices and their conditions for success can help Europeans achieve litter-free seas. A novel approach Three aspects were new about this study. First, it targeted good practices along all stages of the marine waste hierarchy of: (1) prevention, 2) redesign and\/or reuse, 3) recycling, 4) collection, 5) clean-up, and 6) awareness), paying particular attention to upstream initiatives where most information is lacking. Second, it used innovation as the defining criterion for best practice examples. Third, it represents one of the first systematic efforts to understand the potential impact and conditions of success of selected best practices in a comparative fashion, by sharing a common research protocol among partners in the four European regional seas. - , - Published - , - Refereed - , - Current - , - 14.A - , - 14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/609", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/609", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/609", "url": "https:\/\/hdl.handle.net\/11329\/609" }, "contributor": [ { "@type": "Organization", "name": "VU University, Institute for Environmental Studies" } ], "keywords": [ "Marine litter", "Plastics", "Pollution", "MSFD", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1215", "name": "Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model.", "description": " - In this paper we discuss climate model tuning and present an iterative automatic tuning method from the statistical science literature. The method, which we refer to here as iterative refocussing (though also known as history matching), avoids many of the common pitfalls of automatic tuning procedures that are based on optimisation of a cost function, principally the over-tuning of a climate model due to using only partial observations. This avoidance comes by seeking to rule out parameter choices that we are confident could not reproduce the observations, rather than seeking the model that is closest to them (a procedure that risks over-tuning). We comment on the state of climate model tuning and illustrate our approach through three waves of iterative refocussing of the NEMO (Nucleus for European Modelling of the Ocean) ORCA2 global ocean model run at 2\u00b0 resolution. We show how at certain depths the anomalies of global mean temperature and salinity in a standard configuration of the model exceeds 10 standard deviations away from observations and show the extent to which this can be alleviated by iterative refocussing without compromising model performance spatially. We show how model improvements can be achieved by simultaneously perturbing multiple parameters, and illustrate the potential of using low-resolution ensembles to tune NEMO ORCA configurations at higher resolutions. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1215", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1215", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1215", "url": "https:\/\/hdl.handle.net\/11329\/1215" }, "author": [ { "@type": "Person", "name": "Williamson, Daniel B." }, { "@type": "Person", "name": "Blaker, Adam T." }, { "@type": "Person", "name": "Sinha, Bablu" } ], "keywords": [ "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2336", "name": "Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water. Version 2.", "description": " - The collection of extensive, reliable, oceanic carbon data is a key component of the Joint Global Ocean Flux Study (JGOFS). A portion of the US JGOFS oceanic carbon dioxide measurements will be made during the World Ocean Circulation Experiment Hydrographic Program. A science team has been formed to plan and coordinate the various activities needed to produce high quality oceanic carbon dioxide measurements under this program. This handbook was prepared at the request of, and with the active participation of, that science team. The procedures have been agreed on by the members of the science team and describe well tested methods. They are intended to provide standard operating procedures, together with an appropriate quality control plan, for measurements made as part of this survey. These are not the only measurement techniques in use for the parameters of the oceanic carbon system; however, they do represent the current state-of-the-art for ship-board measurements. In the end, the editors hope that this handbook can serve widely as a clear and unambiguous guide to other investigators who are setting up to analyze the various parameters of the carbon dioxide system in sea water. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2336", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2336", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2336", "url": "https:\/\/hdl.handle.net\/11329\/2336" }, "contributor": [ { "@type": "Organization", "name": "Oak Ridge National Lab. (ORNL)" } ], "keywords": [ "Carbon cycle", "Carbon dioxide", "Carbon sinks", "Ocean circulation", "Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1504", "name": "Linking JERICO-NEXT activities to a Virtual Access infrastructure, WP5, Deliverable D5.16. Version 2.0.", "description": " - According the Commission definition, Virtual Access means: \u201caccess to resources needed for research through communication networks without selecting or even identifying the researchers to whom access to resources is provided. Examples of virtual access activities are databases available via Internet, or data deposition services\u201d The JERICO-NEXT partners are providing a large number of in-situ monitoring and numerical modelling infrastructures, with numerous marine observations and forecasting products for the coastal zone. These data are usually collected, processed, qualified, used to make products, stored and made available via a virtual (research) infrastructures (VIs), e.g. web infrastructure with high capacity and performance for big data processing and state-of-the-art web visualisation services. VIs make use of standards for wide interoperability, whilst respecting user privacy and differences in data policies. The (virtual) access to research infrastructure is of fundamental importance for making science, new discoveries, new developments, and new assessment and disseminate new knowledge. In this framework, one specific scope of the WP5 \u2013 Data Management is to suggest actions and recommendations that better connect the Virtual Infrastructure (VI) and JERICO-NEXT systems to make data easy accessible and visible and create the basis for building synthetic products based on original data. The infrastructures presently included in JERICO-NEXT VIs are already providing (or can provide in the future) a wide range of products aimed to support a much broader community comprising researchers, nautical communities, maritime and port authorities, local decision agents, economical agents, schools and general public. These products include real-time or archived data, operational forecasts or information about the marine environment and processes. These products are used to support, among others, the planning of daily operations at sea (fishing activities, nautical sports \u2026), the management of coastal environment, crisis at sea, management of marine resources. The role of the VI providers is to make their data available, the JERICO-NEXT WP5 role is to make these data visible and accessible. The specific goal of the Task 5.8 is to provide an extended review of the existing Virtual Access platforms\/systems in order to find out to what extent the JERICO-NEXT activities could be supported. To this end, the VIs listed in the WP6 where evaluated adopting an approach similar to the methodology proposed by the EMODnet Med Sea Check Point 1, and in particular to the \u201cavailability\u201d indicators (AI). More specifically the AIs indicate the degree to which the datasets are discoverable, accessible, ready for use, and obtainable (either directly or indirectly) from the JERICONEXT VIs. To obtain datasets, information is needed on the data provider (visibility), how to access them (accessibility), and how fast the process is to take possession of them (performance). The availability indicators (AIs) provide then, an understanding of the readiness and service performance of the infrastructure providing access to data. - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1504", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1504", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1504", "url": "https:\/\/hdl.handle.net\/11329\/1504" }, "author": [ { "@type": "Person", "name": "Novellino, A." } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO NEXT" } ], "keywords": [ "Interoperability", "Data exchange", "Virtual access infrastructure", "Data sharing", "Data services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1355", "name": "Welcome to the Arctic. [Visitor Guidelines]", "description": " - General guidelines for travelers visiting the Arctic. Tourism and cruise activities in the Arctic operate within a comprehensive framework of international and national laws and regulations to ensure safety and preservation of the environment, with which AECO members of course are obligated to comply. Nevertheless, there is a need for operators to take responsibility for their activities and actions both within and beyond formal laws and regulations. AECO has developed a comprehensive set of guidelines for expedition cruise operations in the Arctic. The AECO guidelines are endorsed by the operators for the organization of respectful, environmentally friendly and safe expedition cruising. Basic principles: 1. Leave no lasting signs of your visit 2. Do not pick flowers 3. Do not take anything with you 4. Do not disturb animals and birds 5. Leave cultural remains alone 6. Take the polar bear danger seriously 7. Respect local culture and local people 8. Be safe - , - Published - , - Current - , - 14.1 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1355", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1355", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1355", "url": "https:\/\/hdl.handle.net\/11329\/1355" }, "contributor": [ { "@type": "Organization", "name": "Association of Arctic Expedition Cruise Operators" } ], "keywords": [ "CAPARDUS", "Cruise operators", "Tourism", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/843", "name": "Models for an ecosystem approach to fisheries.", "description": " - This report reviews the methods available for assessing the impacts of interactions between species and fisheries and their implications for marine fisheries management. The focus is on modelling methods and multi-species population dynamics effects, rather than on the full range of ecosystem aspects of fishing which encompass, for example, environmental effects and technical interactions (e.g. bycatch issues), although minor mention of these is made. The first section takes a broad overview of some of the most commonly applied multi-species\/ecosystem approaches to fisheries management. The next section summarizes the results and conclusions reached by previous studies and workshops on the subject, including the ICES\/SCOR Symposium on Ecosystem Effects of Fishing, the Workshop on the Use of Ecosystem Models to Investigate Multi-species Management Strategies for Capture Fisheries, the International Whaling Commission (IWC) Modelling Workshop on Cetacean-Fishery Competition, the North Atlantic Marine Mammal Commission (NAMMCO) workshops and the Workshop on Ecosystem Approaches to Fisheries in the southern Benguela. A brief description of the various modelling approaches currently in existence is provided, highlighting particular features of these models which have general relevance to the field of the ecosystem approach to fisheries (EAF). Models discussed include: whole ecosystem\/dynamic system models, minimum realistic models, individual-based models and bioenergetic models. These models are compared in a series of tables and figures, using the following criteria: 1. the level of complexity and realism, e.g. the number of modelled species, the representation of size\/age structure of the species, and the types of processes represented (physical and biological); 2. the types of functional responses of predators to changes in abundance of prey species and their consequences and limitations; 3. how uncertainties in model structure, parameters and data are treated; 4. how environmental effects and interactions with non-target species (e.g. marine mammals; sea turtles; sea birds) are incorporated; 5. the spatial representation of species interactions and habitat related processes; 6. model suitability for dealing with migratory species, i.e. species that cross ecosystem boundaries; 7. where possible, model adequacy to allow the analysis of the different types of management controls in use, such as effort control, minimum size, total allowable catch, protected areas and closed seasons; 8. model adequacy to allow the assessment of the effects of short, medium and longterm ecosystem changes; 9. model suitability to conduct assessment and policy exploration, considering the model\u2019s potential use to conduct historical reconstruction of resources to describe the current status of the ecosystem and to evaluate the potential effects of various kinds of decisions (short and long term); 10. model transparency of operation and ease of use; and 11. data requirements and model suitability for data poor areas. A description is also given of model parameters, some important assumptions, data requirements, technical information such as the computing platform, a list of examples where the approach has been used, notes on the model history as well as any additional xii useful features of an approach. Some advantages, disadvantages and limitations of each of the 20 approaches are listed, together with notes on the ease of presentation of model outputs and the user-level of programming and mathematical skills required. The most widely used approach is undoubtedly ECOPATH with ECOSIM (EwE), which is likely to remain a forerunner given the user friendly interface and on-going improvements to the software. However, faced with incomplete knowledge of ecosystem functioning, there has been increasing recognition that definitive conclusions cannot be drawn from a single model structure. There has thus been a parallel increase in efforts to modularize models so that different components can be easily substituted. Spatial considerations are similarly playing an increasingly important role in the development of ecosystem modelling approaches. Nonetheless, even some of the earliest approaches such as Multi-species Virtual Population Analysis (MSVPA) are still being used and improved. A summary is presented of some recent advances being planned for the different modelling approaches. A set of commonly asked questions pertaining to EAF is identified and the potential of the various modelling approaches to address these questions is assessed. This preliminary analysis suggests that a range of different model constructions are needed; no one model is necessarily superior to all others in all respects. EwE is capable of addressing the widest range of topical EAF research questions. The model considered to show the greatest potential to contribute to practical fisheries management advice (such as changes to total allowable catch (TAC)) is Globally applicable Area Disaggregated General Ecosystem Toolbox (GADGET). Although still under development, this is currently the model with the most rigorous statistical framework for testing multispecies based management advice. It is also the modelling approach most capable of detailed sensitivity investigations to alternative growth, consumption and recruitment formulations. Additionally, it operates within a spatial framework and overcomes many of the associated computing constraints by running on multiple computers in parallel. Nonetheless, it too has limitations in that it is capable of representing only a relatively small component of the ecosystem and is not suitable for all systems. Models such as EwE and ATLANTIS are more appropriate for addressing broader questions. The incorporation of ecosystem considerations into current Operational Management Procedures (OMPs) and other management strategies for marine resources is also discussed. ATLANTIS is ranked the best operating model within a simulation testing framework. Unfortunately it seems unlikely that sufficient data will be available to implement an ecosystem operating model framework in most marine systems. Further development is encouraged of approaches that take explicit account of uncertainty and management issues, for example, through the use of a simulation framework incorporating feedback control rules used in actual management. Approaches such as the Extended Single-Species Assessment Models (ESAM) are often a good first step. Similarly, examples are given of equations that provide a useful starting template for multi-species modelling approaches, being built up slowly and in synchrony with data availability. Some of the less well-known (in a global context) modelling approaches are shown to include some additional useful features, for example, SEAPODYM\u2019s (Spatial Environmental POpulation DYnamics Model) habitat index and OSMOSE\u2019s (Object-oriented Simulator of Marine ecOSystem Exploitation) explorations with simple individual predation rules. This report is a first step towards initiating more detailed discussions of these models, their uses and their limitations. This process is considered critical in moving forward the development of methods for assessing indirect ecosystem impacts of fisheries. Arguments are presented that whereas a good range of models has been developed for the task of EAF, greater focus is needed on strengthening these approaches and conducting the necessary data collection and experimentation to underpin confidence in these approaches. Would-be model developers are encouraged to assess whether xiii they would be adding anything to the current suite of models, given that approaches such as EwE and GADGET have benefited from an extensive network of collaborators over a number of years. Considerable scope exists for significant future developments in multi-species and ecosystem models, particularly with respect to their use as tools in EAF. Some of the major areas of current research include: \u2022 investigations pertaining to the effects of model complexity \u2013 in particular, the effect of specific formulations (often feeding functional responses) on model outputs; \u2022 the treatment of uncertainty; \u2022 representation of socio-economic factors and human behavioural drivers; \u2022 multiple sector dynamics and management (with OMPs being an increasingly popular method); and \u2022 the effective (and feasible) representation of biodiversity - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.6 - , - Fish abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/843", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/843", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/843", "url": "https:\/\/hdl.handle.net\/11329\/843" }, "author": [ { "@type": "Person", "name": "Plag\u00e1nyi, \u00c9va E." } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations" } ], "keywords": [ "Fisheries management", "Modelling", "Species distribution models", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1895", "name": "Using local ecological knowledge as evidence to guide management: A community-led harvest calculator for muskoxen in Greenland.", "description": " - Indigenous people manage or have tenure rights on over a quarter of the world's land surface. While there is growing interest in \u201cevidence-based\u201d natural resource management, there are few documented experiences with \u201cevidence-based\u201d practice in community-managed lands. We explore the evidence required for decisions about harvesting of a community-managed muskox herd in Greenland, and the collaboration needed to acquire this evidence. We present the development, application, and outcome of a user-friendly demographic model\u2014 a harvest calculator\u2014and we show how Local Ecological Knowledge was used throughout the process and combined with scientific knowledge. The community members identified suitable harvest scenarios with the use of the calculator. The calculator's predictions corresponded with their own perceptions of declining numbers of muskox bulls and suggested that reversal was possible under an alternative harvest scenario. As a result, the community members used the findings to request a revised muskox harvest quota, which gained immediate approval by the government. We draw on our experience to propose where community-led harvest calculators can be useful. Community-led harvest calculators can help indigenous and local communities develop economically within environmentally sustainable limits, while at the same time providing community members a \u201cvoice\u201d in natural resource governance. An effective local management regime will require the sustained application of this tool. - , - 16 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1895", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1895", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1895", "url": "https:\/\/hdl.handle.net\/11329\/1895" }, "author": [ { "@type": "Person", "name": "Cuyler, Christine" }, { "@type": "Person", "name": "Daniel, Colin J." }, { "@type": "Person", "name": "Enghoff, Martin" }, { "@type": "Person", "name": "Levermann, Nette" }, { "@type": "Person", "name": "M\u00f8ller-Lund, Nuka" }, { "@type": "Person", "name": "Hansen, Per N." }, { "@type": "Person", "name": "Damhus, Ditlev" }, { "@type": "Person", "name": "Danielsen, Finn" } ], "keywords": [ "Aichi targets", "Harvesting", "Indigenous knowledge", "Indigenous rights", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/261", "name": "Guide to best practices to study the ocean's surface.", "description": " - This guide is a deliverable of the SCOR Sea Surface Microlayer Working Group. It reviews the most widely used SML sampling techniques and provides best practice sampling protocols for studying the ocean's surface. - , - SCOR - , - Published - , - No part of the publication should be reproduced in any form without consulting with the Editors. - , - Current - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/261", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/261", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/261", "url": "https:\/\/hdl.handle.net\/11329\/261" }, "contributor": [ { "@type": "Organization", "name": "Marine Biological Association of the United Kingdom for SCOR" } ], "keywords": [ "Sea surface microlayer", "Best practice", "Sampling", "Protocols", "SCOR" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1560", "name": "SalaciaML: A Deep Learning Approach for Supporting Ocean Data Quality Control.", "description": " - We present a skillful deep learning algorithm for supporting quality control of ocean temperature measurements, which we name SalaciaML according to Salacia the roman goddess of sea waters. Classical attempts to algorithmically support and partly automate the quality control of ocean data profiles are especially helpful for the gross errors in the data. Range filters, spike detection, and data distribution checks remove reliably the outliers and errors in the data, still wrong classifications occur. Various automated quality control procedures have been successfully implemented within the main international and EU marine data infrastructures (WOD, CMEMS, IQuOD, SDN) but their resulting data products are still containing data anomalies, bad data flagged as good and vice-versa. They also include visual inspection of suspicious measurements, which is a time consuming activity, especially if the number of suspicious data detected is large. A deep learning approach could highly improve our capabilities to quality assess big data collections and contemporary reducing the human effort. Our algorithm SalaciaML is meant to complement classical automated quality control procedures in supporting the time consuming visually inspection of data anomalies by quality control experts. As a first approach we applied the algorithm to a large dataset from the Mediterranean Sea. SalaciaML has been able to detect correctly more than 90% of all good and\/or bad data in 11 out of 16 Mediterranean regions. - , - Refereed - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1560", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1560", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1560", "url": "https:\/\/hdl.handle.net\/11329\/1560" }, "author": [ { "@type": "Person", "name": "Mieruch, Sebastian" }, { "@type": "Person", "name": "Demirel, Serdar" }, { "@type": "Person", "name": "Simoncelli, Simona" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Seitz, Steffen" } ], "keywords": [ "Deep learning", "Keras", "Quality control", "SeaDataNet", "Ocean Data View", "Temperature profiles", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/558", "name": "A Framework for Ocean Observing.", "description": " - The ocean is critical to the earth\u2019s global systems, regulating weather and climate, the concentration of gases in the atmosphere, the cycling of nutrients, and providing important food resources. As ocean scientists deploy new technologies to observe these dynamic processes, the impacts of human activity are becoming increasingly obvious and of growing concern. Rising sea level, melting ice sheets, ocean acidification, dead zones, harmful algal blooms, coral bleaching, fish population and ecosystem declines are all being experienced at local and global scales. There is also a rising likelihood of major changes in ocean circulation, weather and climate. The well-being of humankind is dependent on the health and function of the world ocean. Ocean scientists are increasingly called upon to provide data and impartial scientific information to support all levels of governance and management, a challenge that requires more and better-coordinated efforts in observing and understanding the ocean and coastal seas around the globe. These will allow us to meet the challenge of delivering ocean information for societal benefit. To date, largely independent observing systems have evolved to meet the needs of particular disciplines and end users \u2013 the majority of these measuring ocean physics. It is now critical to extend the scope of observing networks to include ocean geochemistry and biology, and to integrate efforts across these scientific disciplines, because: 1) many of the problems facing the world today are interdisciplinary in nature; and 2) the limited resources available for ocean observing systems requires strong cooperation and leveraging. A key recommendation from the OceanObs\u201909 (www.oceanobs09.net) Conference held in Venice in September 2009 was for international integration and coordination of interdisciplinary ocean observations. The Conference was sponsored by many international and national ocean agencies, and attended by representatives of ocean observation programs worldwide. Based on impressive agreement among the many groups at the Conference and their strong desire to work collectively, the sponsors commissioned a Task Team to develop an integrated framework for sustained ocean observing. The Task Team\u2019s objective was to use lessons learned from the successes of existing ocean observing efforts and outline a Framework that can guide the ocean observing community as a whole to establish an integrated and sustained global observing system \u2013 one that includes ocean physics, biogeochemistry, and ocean biology and ecosystems, and addresses the variables to be measured, the approach to measuring them, and how their data and products will be managed and made widely available to modeling efforts and a wide range of users. Achieving this step-change in ocean observing will require internationally accepted processes and expanded collaboration. The Task Team agreed that the Framework and its coordination processes should be organized around \u201cessential ocean variables (EOVs),\u201d rather than by specific observing system, platform, program, or region. The group also agreed that implementing new EOVs will be carried out according to their readiness levels, allowing timely implementation of components that are already mature, while encouraging innovation and formal efforts to improve readiness and build capacity. Systems engineering approaches provide a common language and consistent handling of requirements, observing technologies, and information flow among different, largely autonomous observing elements linked in a collaborative Framework. - , - Published - , - Contributing authors: Eric Lindstrom, John Gunn, Albert Fischer, Andrea McCurdy and L.K. Glover with Task Team members: Keith Alverson, Bee Berx, Peter Burkill, Francisco Chavez, Dave Checkley, Candyce Clark, Victoria Fabry, Albert Fischer (secretariat), John Gunn (co-chair), Julie Hall, Eric Lindstrom (co-chair), Yukio Masumoto, David Meldrum, Mike Meredith, Pedro Monteiro, Jos\u00e9 Mulbert, Sylvie Pouliquen, Carolin Richter, Sun Song, M. Tanner, R. Koopman, D. Cripe, Martin Visbeck and Stan Wilson - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/558", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/558", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/558", "url": "https:\/\/hdl.handle.net\/11329\/558" }, "contributor": [ { "@type": "Organization", "name": "Unesco" } ], "keywords": [ "Ocean observation", "FOO", "Observing systems", "Societal issues", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2552", "name": "SISP 5 - Manual for the AEPM and DEPM estimation of fecundity in mackerel and horse mackerel. Version 12.", "description": " - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.a - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2552", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2552", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2552", "url": "https:\/\/hdl.handle.net\/11329\/2552" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Population structure", "Spawning", "Survey data", "Sex ratio", "Fecundity", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1749", "name": "Plankton Toolbox User\u2019s Guide: for Plankton Toolbox Version 1.3.2\/1.3.3.", "description": " - Plankton form the base of the food web in most aquatic ecosystems. There is a need to estimate the biomass, abundance and the biodiversity of plankton organisms. Eutrophication, climate change, invasive species and harmful algal blooms are some of the reasons to monitor plankton. Microscope based methods are currently the standard in several monitoring programs including HELCOM-COMBINE, for the Baltic Sea, and OSPAR-JAMP, for North Eastern Atlantic Ocean covering the area between the Azores and the Arctic Ocean. Phyto- and zooplankton samples are collected using e.g. water sampling devices, hoses or nets. Data have been collected for decades and large data sets are available e.g. at international and national data centres. To work with the data in a consistent way may be difficult without the right tools. The Plankton Toolbox is a free tool for aquatic scientists, and others, working with phyto- and zooplankton data. It is available for MacOS and Windows. Plankton Toolbox makes it relatively easy for non-programmers to work with large data sets on the diversity, abundance, biovolume and carbon content of plankton efficiently. The software is useful for working with datasets emanating from quantitative and qualitative analyses of phytoplankton and zooplankton. Phytoplankton, including harmful algae, are enumerated and identified in numerous ways; see e.g. Karlson et al. (2010). One of the most popular quantitative methods is water sampling, preservation of the sample and subsequent microscope analysis using the sedimentation chamber method (Uterm\u00f6hl, 1958; Edler and Elbr\u00e4chter 2010). The method produce data on the biodiversity of plankton. The cell volume of the taxa is also often included to facilitate the calculation of biomass. Plankton toolbox offers a work flow for calculating biovolume of organisms based on Olenina et al. (2006) and also carbon content based on the algorithms by Menden-Deuer and Lessard (2000). - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton biomass and diversity - , - Phytoplankton biomass and diversity - , - Multi-organisational - , - National - , - Community composition - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1749", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1749", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1749", "url": "https:\/\/hdl.handle.net\/11329\/1749" }, "author": [ { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Skjevik, Ann-Turi" } ], "contributor": [ { "@type": "Organization", "name": "Swedish Meteorological and Hydrological Institute" } ], "keywords": [ "Phytoplankton", "Zooplankton", "plankton counters", "Data analysis", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2570", "name": "User\u2019s Manual: TechOceanS Flexible Fluidic Bioassay Sensor. Version 1.0.", "description": " - This document is the User\u2019s Manual for the TechOceanS Flexible Fluidics Bioassay System. It will describe the equipment and operational steps necessary to complete bioassay investigation on a bench-top validation system that comprises of multiple stages, including processing on flexible fluidic structures. The equipment is relevant to a range of target species and applications. The target audience for the document are users of the TechOceanS Flexible Fluidic Bioassay Sensor. Owing to the technological maturity of the equipment this document is intended as both an engineering and user manual for operating the equipment. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - 14.a - , - Pilot or Demonstrated - , - Multi-organisational - , - International - , - Lab On a Disk-LOAD (DCU) - , - Flexible Fluidics Bioassay System (NOC and DCU) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2570", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2570", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2570", "url": "https:\/\/hdl.handle.net\/11329\/2570" }, "author": [ { "@type": "Person", "name": "Morris, Andrew" }, { "@type": "Person", "name": "Murphy, Caroline" }, { "@type": "Person", "name": "Lopez-Garcia, Patricia" }, { "@type": "Person", "name": "Galanis, Panagiotis" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Pollutants", "Other biological measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/760", "name": "Recommendations for best practice in deep-sea habitat classification: Bullimore et al. as a case study.", "description": " - We assert that the reef framework-forming coral, Solenosmilia variabilis Duncan, 1873, is sometimes incorrectly recorded as another coral, Lophelia pertusa (Linnaeus, 1758) in surveys of deep-sea habitat (e.g. Bullimore, R., Foster, N., and Howell, K. 2013. Coral-characterized benthic assemblages of the deep Northeast Atlantic: defining \u201cCoral Gardens\u201d to support future habitat mapping efforts. ICES Journal of Marine Science, 70: 511\u2013522). Accurate species lists are critical for developing robust deep-sea habitat classification schemes that allow us to map the distribution of different vulnerable marine ecosystems (VMEs) and predict their occurrences under future climate change scenarios, both of which help prioritize areas for marine protected areas. We recommend that the survey reported by Bullimore et al. (2013), as well as analogous surveys, consider the likelihood of Solenosmilia having been misidentified, and revise their data if necessary. We also make two further recommendations for best practice in deep-sea habitat classification using Bullimore et al. (2013) as a case study. Preferably, physical specimens should be obtained during deep-sea surveys. However, in the absence of identifications confirmed with specimens, image-based analyses of deep-sea communities can be achieved with high confidence when (i) independent validation is provided by senior taxonomic specialists in taxa that are indicators of VMEs, such as cold-water coral reefs, coral gardens, sponge grounds, cold seeps and xenophyophore fields; and (ii) stronger consideration is given to methods in classical taxonomy, the chemical oceanographic setting and community ecology. - , - Refereed - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/760", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/760", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/760", "url": "https:\/\/hdl.handle.net\/11329\/760" }, "author": [ { "@type": "Person", "name": "Henry, Lea-Anne" }, { "@type": "Person", "name": "Roberts, J. Murray" } ], "keywords": [ "Cold-water corals", "Coral gardens", "Lophelia pertusa", "Solenosmilia variabilis", "Taxonomy", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1467", "name": "Drone Flight Manual: UCSD Mangrove Imaging Procedure. Version 1.2.", "description": " - The University of California, San Diego (UCSD) Engineers for Exploration and the Aburto Laboratory at the Scripps Institution of Oceanography (SIO) (henceforth UC San Diego team), along with Centro para la Biodiversidad Marina y Conservaci\u00f3n, and the Gulf of California Marine Program, have collaborated to develop a pipeline for drone based aerial data acquisition and processing to produce high-quality image products. The resulting images are intended for use with machine learning to classify mangrove extent and species composition. This machine learning image processing procedure will be henceforth called the Image Processing Procedure. When completed, the Image Processing Procedure creates the following products:\u2022 High-altitude wide area white-balanced visible-spectrum orthomosaic\u2022 Low-altitude small area white-balanced visible-spectrum orthomosaic\u2022 Digital elevation model (DEM)This manual details field procedures for taking aerial red-green-blue (RGB) imagery of mangrove forests for the subsequent Image Processing Procedure. It includes instructions for safe drone operation, efficient time management, and functional data organization.The UCSD team has also established procedures for acquiring similar data with the addition of multispectral imagery and GPS ground control points. - , - Published - , - Refereed - , - The University of California, San Diego (UCSD) Engineers for Exploration y Aburto Laboratory en Scripps Institution of Oceanography (SIO) (de aqu\u00ed en adelante el equipo de UC San Diego), con Centro para la Biodiversidad Marina y Conservaci\u00f3n y Programma Marino del Golfo de California, han colaborado para desarrollar metodolog\u00eda para la obtenci\u00f3n y el procesamiento de im\u00e1genes a\u00e9reas capturadas por drones con una alta calidad y nitidez. Las im\u00e1genes resultantes tienen la intenci\u00f3n de ser usadas en el aprendizaje autom\u00e1tico para cuantificar la cobertura y para la identificaci\u00f3n de especies manglares. A este procedimiento de procesar im\u00e1genes por aprendizaje autom\u00e1tico ser\u00e1 llamado de ahora en adelante el M\u00e9todo de Procesar Im\u00e1genes. Cuando se termine, el M\u00e9todo de Procesar Im\u00e1genes crea los siguientes productos:\u2022Un ortomosaico de espectro visible y balance de blancos de gran altitud y \u00e1rea amplia \u2022Un ortomosaico de espectro visible y balance de blancos de baja altitud y \u00e1rea peque\u00f1a\u2022Un modelo digital de elevaciones (MDE) Este manual delinea los procedimientos pr\u00e1cticos para tomar im\u00e1genes a\u00e9reas de rojo-verde-azul (RVA) de bosques de manglares para el M\u00e9todo de Procesar Im\u00e1genes subsiguiente. Incluye instrucciones para una operaci\u00f3n segura del dron, un manejo eficaz del tiempo y una organizaci\u00f3n funcional de los datos.El equipo de UCSD tambi\u00e9n ha establecido procedimientos para adquirir datos semejantes al agregar im\u00e1genes multiespectrales y puntos de control desde tierra con GPS. - , - Current - , - 14.5 - , - Mangrove cover and composition - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1467", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1467", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1467", "url": "https:\/\/hdl.handle.net\/11329\/1467" }, "author": [ { "@type": "Person", "name": "Hsu, Astrid J." }, { "@type": "Person", "name": "Lo, Eric K." }, { "@type": "Person", "name": "Dorian, John B." }, { "@type": "Person", "name": "Guerrero Martinez, Benigno" } ], "contributor": [ { "@type": "Organization", "name": "University of California, San Diego, Centro para la Biodiversidad Marina y Conservaci\u00f3n, and the Gulf of California Marine Program" } ], "keywords": [ "Drone", "UAV", "Mangrove monitoring", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1263", "name": "Best Practices for Determining Volumetric Data of Fresh Sargassum Wracks.", "description": " - The purpose of this procedure is to identify the best practices for measuring and quantifying the size of Sargassum wracks, or piles of beached \u201cseaweed\u201d as it is often referred to, found along the coastlines surrounding the Gulf of Mexico and Caribbean islands. This method was utilized by graduate and undergraduate students from Texas A&M University Galveston Campus (TAMUG) during the historical 2015 Sargassum season in Galveston, Texas - , - Published - , - Non Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1263", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1263", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1263", "url": "https:\/\/hdl.handle.net\/11329\/1263" }, "author": [ { "@type": "Person", "name": "Robertson, Thomas Kyle" }, { "@type": "Person", "name": "Linton, Tom" }, { "@type": "Person", "name": "Webster, Robert" } ], "contributor": [ { "@type": "Organization", "name": "Texas A&M University Galveston Campus (TAMUG)" } ], "keywords": [ "Sargassum", "Seaweed", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/830", "name": "The MSC experience: developing an operational certification standard and a market incentive to improve fishery sustainability.", "description": " - The Marine Stewardship Council (MSC) standard for sustainable fisheries is represented by three high-level principles and a set of 31 indicators and scoring guidelines, known as the \u201cdefault assessment tree\u201d. Over the 14 years, since it was developed in 1999, the MSC has faced the challenge of maintaining its standard at the level of global best practice, keeping up with developments in the science and management of fisheries, and making sure that certified fisheries maintain their performance at that standard, or raise it where they fall below it. The MSC has had to regularly and widely engage with multiple stakeholders to ensure that its policy development is consistent with stakeholder expectations. Although many fisheries have made significant improvements to their performance, sometimes performance has declined, leading to further requirements for improvement. The MSC needed to design a program that balances credibility, accessibility, and improvement to move the world\u2019s fisheries towards sustainability - , - Open Access : In article ICESJMS (2014), 71(2), 216-225. doi: 10.1093\/icesjms\/fst091 the authors have elected to convert the copyright status of the paper to Open Access as a post-production correction. - , - Refereed - , - 14.4 - , - Fish abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/830", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/830", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/830", "url": "https:\/\/hdl.handle.net\/11329\/830" }, "author": [ { "@type": "Person", "name": "Agnew, D. J." }, { "@type": "Person", "name": "Gutierrez, N. L." }, { "@type": "Person", "name": "Stern-Pirlot, A." }, { "@type": "Person", "name": "Hoggarth, D. D" } ], "keywords": [ "Certification", "Eco-labelling", "Global fisheries management", "Best practices", "Marine Stewardship Council", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/763", "name": "Performance Verification Statement for the HACH FP 360 sc UV Fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ hydrocarbon sensors. This verification included test applications for: (1) controlled laboratory tanks with additions of various organic, fluorescent compounds, (2) experimental wave tank with additions of two sources of crude oils with and without dispersants, (3) a moored deployment in Baltimore Harbor, and (4) hydrocast surveys in the Gulf of Mexico at a site near a submerged leaking oil barge. In this Verification Statement, we present the performance results of the Hach FP 360 sc UV fluorometers. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. Response specificity of the FP 360 sc to a range of organic compounds was evaluated in a series of lab tests. The instrument output was based on a linear response photodetector behind the emission optical filters and the data logger was configured to provide output with units of ppb Oil concentration. Instrument response with respect to challenge compound concentration varied with respect to the inherent fluorescence properties of the challenge compound as well as sensor optics. As expected, the FP 360 sc exhibited concentration dependent linear responses to several of the challenge compounds with response sensitivity ranked as carbazole >> quinine sulfate > #2 Diesel Fuel > naphthalene disulfonic acid and was insensitive to basic blue. Trials in the COOGER wave test tank at the Bedford Institute of Oceanography revealed linear responses up to 1 ppm total added crude oil with a dynamic range similar to the laboratory based #2 Diesel fuel challenge. Instrument response did vary with crude oil type and dispersion state. Instrument responses to various challenge compounds converged when compared to standardized EEMs fluorescence intensity estimated to correspond to the instruments emission optics. Field deployments in Baltimore Harbor and northern Gulf of Mexico were equivocal as all field reference samples were at or below the limit of detection for total petroleum hydrocarbons (\u2264 25 ppb), yet for Baltimore Harbor the FP 360 sc output was above the baseline response in deionized water and somewhat consistent with environmental background fluorescence as determined by EEMs analysis. There was no clear instrument response to EEMs intensities in the Gulf of Mexico profiling test, however it is unclear if the response may have been impacted by the use of a second party data logger for this profiling application. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for any of the laboratory tests, field deployment tests, or tank exposure tests. In general, results indicate that for all types of test application including lab, moored and hydrocast surveys, the ambient fluorescence properties of the challenge solution need to be accounted for to make quantitative hydrocarbon estimates from these sensors. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Ocean Colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/763", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/763", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/763", "url": "https:\/\/hdl.handle.net\/11329\/763" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loranger, S." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Maurer, T." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2478", "name": "Guidelines for genetic data analysis.", "description": " - The IWC Scientific Committee recently adopted guidelines for quality control of DNA data. Once data have been collected, the next step is to analyse the data and make inferences that are useful for addressing practical problems in conservation and management of cetaceans. This is a complex exercise, as numerous analyses are possible and users have a wide range of choices of software programs for implementing the analyses. This paper reviews the underlying issues, illustrates application of different types of genetic data analysis to two complex management problems (involving common minke whales and humpback whales), and concludes with a number of recommendations for best practices in the analysis of population genetic data. An extensive Appendix provides a detailed review and critique of most types of analyses that are used with population genetic data for cetaceans. - , - Refereed - , - 14.2 - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Methodological commentary\/perspect - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2478", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2478", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2478", "url": "https:\/\/hdl.handle.net\/11329\/2478" }, "author": [ { "@type": "Person", "name": "Waples, R.S." }, { "@type": "Person", "name": "Hoelzel, A.R." }, { "@type": "Person", "name": "Gaggiotti, O.E." }, { "@type": "Person", "name": "Tiedemann, R." }, { "@type": "Person", "name": "Palsb\u00f8ll, P.J." }, { "@type": "Person", "name": "Cipriano, F." }, { "@type": "Person", "name": "Jackson, J.A." }, { "@type": "Person", "name": "Bickham, J.W." }, { "@type": "Person", "name": "Lang, A.R." } ], "keywords": [ "Abundance estimate", "Breeding grounds", "Conservation", "DNA fingerprinting", "Feeding grounds", "Genetics", "Humpback whale", "Migration", "Minke whale", "Reproduction", "Taxonomy", "Birds, mammals and reptiles", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2132", "name": "Inclusion of condition in natural capital assessments is critical to the implementation of marine nature-based solutions.", "description": " - Current approaches to measure ecosystem services (ES) within natural capital (NC) and nature-based solutions (NbS) assessments are generally coarse, often using a single figure for ecosystem services (e.g., nutrient remediation or blue carbon sequestration) applied to the local or national habitat stock, which fails to take account of local ecosystem conditions and regional variability. As such, there is a need for improved understanding of the link between habitat condition and ES provision, using comparable indicators in order to take more informed management decisions. Here the UK, Solent Marine Sites (SEMS) is used as a case study system to demonstrate how Water Framework Directive (WFD) \u2018ecological status\u2019 and other indicators of ecosystem condition (state or quality) can be coupled with habitat extent information to deliver a more precise locally-tailored NC approach for active coastal and marine habitat restoration. Habitat extent and condition data are collected for seven NbS relevant coastal habitats (littoral sediment, matforming green macroalgae, subtidal sediment, saltmarsh, seagrass, reedbeds and native oyster beds). The workflow includes: 1) biophysical assessment of regulatory ES; 2) monetary valuation; and 3) compilation of future scenarios of habitat restoration and creation. The results indicate that incorporating classifications by condition indices into local NC extent accounts improved ES benefits by 11\u201367%. This suggests that omitting condition from NC assessments could lead to undervaluation of ES benefits. Future scenarios of restoration in the SEMS also show that the additional regulatory benefits of reaching \u2018Good\u2019 ecological status are \u00a3376 million annually, but could be as much as \u00a31.218 billion if \u2018High\u2018status and all habitat creation targets were met. This evidence of the potential value of restoration and importance of including condition indices in assessments is highly relevant to consider when investing in water ecosystems conservation and restoration as called for by the UN Decade on Ecosystem Restoration (2021\u22122030), and more generally in global nutrient neutrality and blue carbon policy strategies. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2132", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2132", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2132", "url": "https:\/\/hdl.handle.net\/11329\/2132" }, "author": [ { "@type": "Person", "name": "Watson, Stephen C.L." }, { "@type": "Person", "name": "Watson, Gordon J." }, { "@type": "Person", "name": "Beaumont, Nicola J." }, { "@type": "Person", "name": "Preston, Joanne" } ], "keywords": [ "Solent Marine Sites (SEMS)", "Ecosystem services", "Ecological status", "Ecosystem condition", "Nature-based solutions", "Water framework directive", "Habitat restoration", "Natural capital", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1514", "name": "Recommendations for the Standardisation of OpenTaxonomic Nomenclature for Image-Based Identifications.", "description": " - This paper recommends best practice for the use of open nomenclature (ON) signs applicable to image-based faunal analyses. It is one of numerous initiatives to improve biodiversity data input to improve the reliability of biological datasets and their utility in informing policy and management. Image-based faunal analyses are increasingly common but have limitations in the level of taxonomic precision that can be achieved, which varies among groups and imaging methods. This is particularly critical for deep-sea studies owing to the difficulties in reaching confident species-level identifications of unknown taxa. ON signs indicate a standard level of identification and improve clarity, precision and comparability of biodiversity data. Here we provide examples of recommended usage of these terms for input to online databases and preparation of morphospecies catalogues. Because the processes of identification differ when working with physical specimens and with images of the taxa, we build upon previously provided recommendations for specific use with image-based identifications. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1514", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1514", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1514", "url": "https:\/\/hdl.handle.net\/11329\/1514" }, "author": [ { "@type": "Person", "name": "Horton, Tammy" }, { "@type": "Person", "name": "Marsh, Leigh" }, { "@type": "Person", "name": "Bett, Brian J." }, { "@type": "Person", "name": "Gates, Andrew R." }, { "@type": "Person", "name": "Jones, Daniel O. B." }, { "@type": "Person", "name": "Benoist, No\u00eblie M. A." }, { "@type": "Person", "name": "Pfeifer, Simone" }, { "@type": "Person", "name": "Simon-Lled\u00f3, Erik" }, { "@type": "Person", "name": "Durden, Jennifer M." }, { "@type": "Person", "name": "Vandepitte, Leen" }, { "@type": "Person", "name": "Appeltans, Ward" } ], "keywords": [ "Image-based analysis", "Taxonomy", "Identification", "Taxonomic nomenclature", "Standardisation", "Biodiversity data", "Biodiversity informatics", "Taxonomic databases", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1204", "name": "A rapid method for assessing the accumulation of microplastics in the sea surface microlayer (SML) of estuarine systems.", "description": " - Microplastics are an increasingly important contaminant in the marine environment. Depending on their composition and degree of biofouling, many common microplastics are less dense than seawater and so tend to float at or near the ocean surface. As such, they may exhibit high concentrations in the sea surface microlayer (SML \u2013 the upper 1\u20131000 \u03bcm of the ocean) relative to deeper water. This paper examines the accumulation of microplastics, in particular microfibres, in the SML in two contrasting estuarine systems \u2013 the Hamble estuary and the Beaulieu estuary, southern U.K., via a novel and rapid SML-selective sampling method using a dipped glass plate. Microplastic concentrations (for identified fibres, of 0.05 to 4.5 mm length) were highest in the SML-selective samples (with a mean concentration of 43 \u00b1 36 fibres\/L), compared to <5 fibres\/L for surface and sub-surface bulk water samples. Data collected show the usefulness of the dipped glass plate method as a rapid and inexpensive tool for sampling SML-associated microplastics in estuaries, and indicate that microplastics preferentially accumulate at the SML in estuarine conditions (providing a potential transfer mechanism for incorporation into upper intertidal sinks). Fibres are present (and readily sampled) in both developed and more pristine estuarine systems. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1204", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1204", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1204", "url": "https:\/\/hdl.handle.net\/11329\/1204" }, "author": [ { "@type": "Person", "name": "Anderson, Zachary T." }, { "@type": "Person", "name": "Cundy, Andrew B." }, { "@type": "Person", "name": "Croudace, Ian W." }, { "@type": "Person", "name": "Warwick, Phillip E." }, { "@type": "Person", "name": "Celis-Hernandez, Omar" }, { "@type": "Person", "name": "Stead, Jessica L." } ], "keywords": [ "Microbeads", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1897", "name": "INTERACT Research and Monitoring Report 2020. D3.13. 2nd edition", "description": " - The Arctic is still an understudied part of the world, and restricted access or lack of infrastructure makes arctic research more complicated than elsewhere. Coordinating activities, implementing standards and data harmonization and sharing of data are therefore essential to make robust assessments and predictions for the Arctic and northern cold regions. In this report, INTERACT stations provide information on research activities at their stations, i.e. what disciplines are studied at the station and what variables are monitored on a \u2018long-term\u2019 scale. Stations have also provided information about what scientific networks and organisations they contributes to and we describe some of these global intergovernmental organisations, central circumarctic coordinating organisations, important Arctic Council working groups and selected scientific networks with standard protocols or data harmonization. The report can hence be a tool for station managers to identify networks that they could potentially contribute to, and for scientists and scientific networks to look for stations that could fill potential data gaps on their geographical coverage to improve robustness of their coordinated scientific efforts. At the end of the report, we present two INTERACT tools that facilitate access to the Arctic. 1. The INTERACT GIS tool that allows scientists to explore station facilities and their surroundings when looking for ideal study locations. 2. The INTERACT Access programme consisting of Transnational Access (physical access) to research stations, Remote Access (samples\/data collected by station staff) and Virtual Access (online access to data sets). - , - European Union; EU - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1897", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1897", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1897", "url": "https:\/\/hdl.handle.net\/11329\/1897" }, "author": [ { "@type": "Person", "name": "Topp-J\u00f8rgensen, Elmer" }, { "@type": "Person", "name": "Arndal, Marie Frost" }, { "@type": "Person", "name": "Savela, Hannele" }, { "@type": "Person", "name": "Rasch, Morten" } ], "contributor": [ { "@type": "Organization", "name": "INTERACT Consortium" } ], "keywords": [ "INTERACT", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1733", "name": "Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems.", "description": " - Ocean observations are expensive and difficult to collect. Designing effective ocean observing systems therefore warrants deliberate, quantitative strategies. We leverage adjoint modeling and Hessian uncertainty quantification (UQ) within the ECCO (Estimating the Circulation and Climate of the Ocean) framework to explore a new design strategy for ocean climate observing systems. Within this context, an observing system is optimal if it minimizes uncertainty in a set of investigator-defined quantities of interest (QoIs), such as oceanic transports or other key climate indices. We show that Hessian UQ unifies three design concepts. (1) An observing system reduces uncertainty in a target QoI most effectively when it is sensitive to the same dynamical controls as the QoI. The dynamical controls are exposed by the Hessian eigenvector patterns of the model-data misfit function. (2) Orthogonality of the Hessian eigenvectors rigorously accounts for redundancy between distinct members of the observing system. (3) The Hessian eigenvalues determine the overall effectiveness of the observing system, and are controlled by the sensitivity-to-noise ratio of the observational assets (analogous to the statistical signal-to- noise ratio). We illustrate Hessian UQ and its three underlying concepts in a North Atlantic case study. Sea surface temperature observations inform mainly local air-sea fluxes. In contrast, subsurface temperature observations reduce uncertainty over basin-wide scales, and can therefore inform transport QoIs at great distances. This research provides insight into the design of effective observing systems that maximally inform the target QoIs, while being complementary to the existing observational database - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1733", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1733", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1733", "url": "https:\/\/hdl.handle.net\/11329\/1733" }, "author": [ { "@type": "Person", "name": "Loose, Nora" }, { "@type": "Person", "name": "Heimbach, Patrick" } ], "keywords": [ "Uncertainty quantification", "Physical oceanography", "Data processing", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1806", "name": "A Review of modelling approaches on tidal analysis and prediction.", "description": " - Tide height depends on both long-term astronomical effects that are principally affected by the moon and sun and short-term meteorological effects caused by severe weather conditions which are very important tasks for human activities, safe marine navigation in shallow areas, oceans and coastal engineering work. Conventional tidal forecasting techniques are based on harmonic analysis, which is a superposition of many sinusoidal constituents with three parameters amplitudes, Phase and frequencies using the least squares method to determine the harmonic parameters. However, harmonic analysis required a large number of parameters and long-term tidal measured for precise tidal level predictions. Furthermore, what seems to stand out by the other researchers on traditional harmonic methods, was its limitation when short data are involved and rely on based on the analysis of astronomical components and they can be insufficient when the influence of non-astronomical components such as the weather, is important. Therefore, conventional harmonic analysis alone does not adequately predict the coastal water level variation, in order to deal with these situations and provide predictions with the desired accuracy, with respect to the length of the available tidal record, an alternative approach has been developed by various tidalist. In this study the state - of - art for tidal analysis and prediction techniques that have proven to be successful in a variety of circumstances have been reviewed in a systematic and consistent way for holistic understanding with a view to provide a reference for future work, showing their main mathematical concepts, model capabilities for tidal analysis and prediction with their limitations. - , - Refereed - , - 14.a - , - Sea surface height - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1806", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1806", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1806", "url": "https:\/\/hdl.handle.net\/11329\/1806" }, "author": [ { "@type": "Person", "name": "Abubakar, Auwal Garba" }, { "@type": "Person", "name": "Mahmud, Mohd Razali" }, { "@type": "Person", "name": "Tang, Kelvin Kang Wee" }, { "@type": "Person", "name": "Hussaini, Alhaji" }, { "@type": "Person", "name": "Md Yusuf, Nur Hidayah" } ], "keywords": [ "Tidal analysis", "Tidal prediction", "Harmonic analysis", "Forecasting techniques", "Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1526", "name": "Imaging Flow Cytometry Protocols for Examining Phagocytosis of Microplastics and Bioparticles by Immune Cells of Aquatic Animals.", "description": " - Imaging flow cytometry (IFC) is a powerful tool which combines flow cytometry with digital microscopy to generate quantitative high-throughput imaging data. Despite various advantages of IFC over standard flow cytometry, widespread adoption of this technology for studies in aquatic sciences is limited, probably due to the relatively high equipment cost, complexity of image analysis-based data interpretation and lack of core facilities with trained personnel. Here, we describe the application of IFC to examine phagocytosis of particles including microplastics by cells from aquatic animals. For this purpose, we studied (1) live\/dead cell assays and identification of cell types, (2) phagocytosis of degradable and non-degradable particles by Atlantic salmon head kidney cells and (3) the effect of incubation temperature on phagocytosis of degradable particles in three aquatic animals\u2013Atlantic salmon, Nile tilapia, and blue mussel. The usefulness of the developed method was assessed by evaluating the effect of incubation temperature on phagocytosis. Our studies demonstrate that IFC provides significant benefits over standard flow cytometry in phagocytosis measurement by allowing integration of morphometric parameters, especially while identifying cell populations and distinguishing between different types of fluorescent particles and detecting their localization. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1526", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1526", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1526", "url": "https:\/\/hdl.handle.net\/11329\/1526" }, "author": [ { "@type": "Person", "name": "Park, Y." }, { "@type": "Person", "name": "Abihssira-Garc\u00eda, I.S." }, { "@type": "Person", "name": "Thalmann, S." }, { "@type": "Person", "name": "Wiegertjes, G.F." }, { "@type": "Person", "name": "Barreda, D.R." }, { "@type": "Person", "name": "Olsvik, P.A." }, { "@type": "Person", "name": "Kiron, V." } ], "keywords": [ "Miroplastics", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::flow cytometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/493", "name": "Processing BGC-Argo Radiometric data at the DAC level. Version 1.1, October 9 th 2017.", "description": " - Presently, radiometers can be implemented on profiling floats to estimate some radiometric measurements. Hereafter we briefly describe the principle of this method and several configurations of the OCR500 series instruments. These measurements can be radiance or irradiance at different wavelengths and in different directions (upward or downward). The Photosynthetically Available Radiation (PAR) is also measured as it represents the solar radiation that photosynthetic organisms are able to use in the process of photosynthesis. At the moment all radiometric sensors implemented on floats are developed by the Satlantic Company and are of the OCR serie. These radiometers combine three wavelengths for irradiance measurements together with a measurement of the Photosynthetically Available Radiation. The present document is focused on the management of radiometric data flow acquired by those sensors (section 3). As soon as other sensors are implemented and successfully tested on floats, the present document would be accordingly updated. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/493", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/493", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/493", "url": "https:\/\/hdl.handle.net\/11329\/493" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "BGC-Argo", "Optic", "Parameter Discipline::Chemical oceanography::Isotopes", "Instrument Type Vocabulary::radiometers", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2273", "name": "A Comparative Study of Statistical Techniques for Prediction of Meteorological and Oceanographic Conditions: An Application in Sea Spray Icing", "description": " - Environmental conditions in Arctic waters pose challenges to various offshore industrial activities. In this regard, better prediction of meteorological and oceanographic conditions contributes to addressing the challenges by developing economic plans and adopting safe strategies. This study revolved around simulation of meteorological and oceanographic conditions. To this aim, the applications of Bayesian inference, as well as Monte Carlo simulation (MCS) methods including sequential importance sampling (SIS) and Markov Chain Monte Carlo (MCMC) were studied. Three-hourly reanalysis data from the NOrwegian ReAnalysis 10 km (NORA10) for 33 years were used to evaluate the performance of the suggested simulation approaches. The data corresponding to the first 32 years were used to predict the meteorological and oceanographic conditions, and the data corresponding to the following year were used to model verification on a daily basis. The predicted meteorological and oceanographic conditions were then considered as inputs for the newly introduced icing model, namely Marine-Icing model for the Norwegian Coast Guard (MINCOG), to estimate sea spray icing in some regions of the Arctic Ocean, particularly in the sea area between Northern Norway and Svalbard archipelago. The results indicate that the monthly average absolute deviation (AAD) from reanalysis values for the MINCOG estimations with Bayesian, SIS, and MCMC inputs is not greater than 0.13, 0.22, and 0.41 cm\/h, respectively. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2273", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2273", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2273", "url": "https:\/\/hdl.handle.net\/11329\/2273" }, "author": [ { "@type": "Person", "name": "Barjouei, Abolfazl Shojaei" }, { "@type": "Person", "name": "Naseri, Masoud" } ], "keywords": [ "Sea spray icing", "Wave height", "Wind speed", "Relative humidity", "Atmospheric pressure", "Marine-Icing model", "Wave period", "Other physical oceanographic measurements", "Waves", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2092", "name": "Productivity, pressure, and new perspectives: impacts of the COVID-19 pandemic on marine early-career researchers.", "description": " - The worldwide disruption caused by the beginning of the COVID-19 pandemic has dramatically impacted the activities of marine scientists working towards the goals of the UN Ocean Decade. As in other disciplines, marine early-career researchers (ECRs) are essential contributors to the development of novel and innovative science. Based on a survey of 322 of our peers, we show that the pandemic negatively impacted marine ECRs in ways that further exacerbate existing structural challenges such as social isolation, job insecurity, and short-term contracts, competitive funding, and work pressure. Furthermore, we find that the success and wellbeing of marine ECRs depends heavily on networking opportunities, gaining practical experience, collecting data, and producing publications, all of which were disrupted by the pandemic. Our analysis shows that those in the earliest stages of their careers feel most vulnerable to long-term career disadvantage as a result of the pandemic. This paper contributes to the empirical body of work about the impacts of the pandemic on marine science and offers recommendations on how marine ECRs should be supported to achieve the UN Ocean Decade\u2019s goal of producing \u201cthe science we need for the ocean we want\u201d. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2092", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2092", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2092", "url": "https:\/\/hdl.handle.net\/11329\/2092" }, "author": [ { "@type": "Person", "name": "Schadeberg, Amanda" }, { "@type": "Person", "name": "Ford, Eleanor" }, { "@type": "Person", "name": "Wieczorek, Alina M" }, { "@type": "Person", "name": "Gammage, Louise C" }, { "@type": "Person", "name": "L\u00f3pez-Acosta, Mar\u00eda" }, { "@type": "Person", "name": "Buselic, Ivana" }, { "@type": "Person", "name": "Dermastia, Timotej Turk" }, { "@type": "Person", "name": "Fontela, Marcos" }, { "@type": "Person", "name": "Galobart, Cristina" }, { "@type": "Person", "name": "Monferrer, Natalia Llopis" }, { "@type": "Person", "name": "Lubosny, Marek" }, { "@type": "Person", "name": "Piarulli, Stefania" }, { "@type": "Person", "name": "Suaria, Giuseppe" } ], "keywords": [ "Early career scientists", "ECOPs", "Institutional responses", "Reflexive science", "SARS-CoV-2", "UN Ocean Decade", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1668", "name": "ISUS Nitrate history.", "description": " - The original methods description was written Feb 2010 by J. Wilkinson. Changes to the method or instrument are listed below. - , - Published - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - Nitrate sampler Seal QuAAtro Analyzer - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1668", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1668", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1668", "url": "https:\/\/hdl.handle.net\/11329\/1668" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Nutrients", "nutrient analysers", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/962", "name": "Sediment sampling.", "description": " - This document describes general and specific procedures, methods and considerations to be used and observed when collecting sediment samples for field screening or laboratory analysis. The procedures contained in this document are to be used by field investigators when collecting and handling sediment samples in the field. On the occasion that SESD field investigators determine that any of the procedures described in this section are inappropriate, inadequate or impractical and that another procedure must be used to obtain a sediment sample, the variant procedure will be documented in the field log book, along with a description of the circumstances requiring its use. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/962", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/962", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/962", "url": "https:\/\/hdl.handle.net\/11329\/962" }, "author": [ { "@type": "Person", "name": "Simmons, Kevin" }, { "@type": "Person", "name": "Deatrick, John" }, { "@type": "Person", "name": "Ackerman, Laura" }, { "@type": "Person", "name": "Lewis, Bobby" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Environmental Protection Agency" } ], "keywords": [ "Parameter Discipline::Marine geology", "Parameter Discipline::Marine geology::Rock and sediment physical properties" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1989", "name": "R\/V Dr. Fridtjof Nansen Video Series: Collecting salinity samples from a CTD rosette water sampler. [Training Video]", "description": " - In support of EAF-Nansen Programme Themes 9 and 10, this video is part of a series of videos that support the descriptions provided in the Rosette water sampling R\/V Dr. Fridtjof Nansen protocol about the different methods for collecting the various water samples on board R\/V Dr. Fridtjof Nansen from the rosette water sampler. The steps described here are specific to the equipment on board R\/V Dr. Fridtjof Nansen but can be modified for use in other laboratories as long as differences in equipment are considered. This particular video provides a description of how to collect salinity samples from a CTD rosette bottle. - , - The EAF-Nansen Programme is executed by FAO in close collaboration with the Institute of Marine Research (IMR) of Bergen, Norway and funded by the Norwegian Agency for Development Cooperation (Norad). - , - Published - , - Current - , - 14.a - , - Subsurface salinity - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - N\/A - , - Seabird 911plus CTD - , - SBE 32 Carousel - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1989", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1989", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1989", "url": "https:\/\/hdl.handle.net\/11329\/1989" }, "author": [ { "@type": "Person", "name": "Cervantes, David" } ], "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research (Norway) for the EAF-Nansen Programme of the FAO" } ], "keywords": [ "CTD", "Rosette bottle", "Water sampling", "Water column temperature and salinity", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/663", "name": "Progress report after development of microbial and molecular sensors. WP3, D3.7, Version 2.0.", "description": " - The aim of Task 3.4 is to develop and test innovative methods for the molecular detection of phytoplankton, harmful algal blooms and pollutants through their effect on microbial communities. This will include the development of novel molecular sensors for the detection, quantification and identification of organisms, microbial markers of pollutant exposure or toxin concentrations in marine coastal waters. Bacterial species and genes which can be used as markers of high nutrient load or hydrocarbon contamination in the marine environment were identified through bacterial community analysis in contaminated environment and literature reviews. Assays using quantitative Polymerase Chain Reaction (qPCR) for the quantification of these organisms were developed and tested through environmental sampling campaigns and laboratory exposure studies. The most promising markers and assays were selected for further study in conjunction with other biological and chemical sensors, and will be further tested through campaigns to be performed through WP4. Complementary technologies are being developed through this task to monitor toxic algae, combining an approach based on the detection of the organisms through an autonomous sensor, and the detection of toxins using a probe. The fully automated sensor module for autonomous monitoring of toxic algae includes a remote-controlled automated filtration system coupled to a semi-automated nucleic acid biosensor based on the specific binding of a molecular. This sensor will be adapted and optimised for long term unattended operation on Ferrybox systems through this task. In parallel, for the direct detection of algae toxins, the capabilities of an in situ optical biosensor were extended. This was done to reduce the device size, increase its efficiency, and potentially extend its performance to detect more than domoic acid, which was the toxin that the sensor was initially designed for. In this first phase of the project, the sensor was successfully redesigned and is planned to be tested in laboratory conditions prior to deployment at sea. For investigating plankton diversity and harmful algal blooms rDNA meta barcoding methods were developed and evaluated by analyzing samples collected using a Ferrybox system in the Baltic Sea area. Results based on 16S and 18S rDNA show that metabarcoding reveals a much higher diversity in phytoplankton compared to microscopy. However, metabarcoding only gives results on relative abundance of genes (OTU, Operational Taxonomical Units) in samples and does not give information about biomass. Microscopy gives cell numbers and biomass based on cell volumes. The two different approaches complement each other. Metabarcoding is being further evaluated through comparison with in situ imaging flow cytometry and microscopy in a study of harmful algal blooms on the Swedish Skagerrak coast. This progress report includes the work performed during the first two years of the project. During this first phase of the project, much of the focus has been on the development and improvements of the different types of sensors and biosensors before the sensor testing through laboratory and field campains, which will involve sensor tests in a common setting and integration of the results and responses from the different devices and tools. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/663", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/663", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/663", "url": "https:\/\/hdl.handle.net\/11329\/663" }, "author": [ { "@type": "Person", "name": "Boccadoro, Catherine" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Colas, Florent" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "Sensors", "Parameter Discipline::Biological oceanography::Microzooplankton", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Zooplankton", "Parameter Discipline::Biological oceanography::Bacteria and viruses" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2534", "name": "ISO 23040:2021. Marine environment impact assessment (MEIA) \u2014 Specification for marine sediments in seabed areas \u2014 Survey of interstitial biota. Edition 1.", "description": " - This document provides requirements and recommendations for conducting marine surveys of interstitial biota in marine sediments. It includes the specification of technical methods for the investigation of marine sediments, foraminifera, ostracoda, radiolaria, diatoms, coccoliths, sedimentary sporopollen, benthic viruses, benthic microbes (including bacteria, archaea and fungi), benthic microalgae, benthic protozoa and metazoan meiobenthos. This document is applicable to marine surveys in diverse benthic habitats at any seabed, such as benthic sediments of coastal zones, shallow seas, or deep-sea waters. - , - Published - , - Refereed - , - Current - , - 14.a - , - Microbe biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2534", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2534", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2534", "url": "https:\/\/hdl.handle.net\/11329\/2534" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Benthic habitats", "Interstitial biota", "Marine sediments", "Rock and sediment biota", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1102", "name": "OpenGIS SWE Service Model Implementation Standard. Version 2.0.", "description": " - This standard currently defines eight packages with data types for common use across OGC Sensor Web Enablement (SWE) services. Five of these packages define operation request and response types. The packages are: 1.) Contents \u2013 Defines data types that can be used in specific services that provide (access to) sensors; 2.) Notification \u2013 Defines the data types that support provision of metadata about the notification capabilities of a service as well as the definition and encoding of SWES events; 3.) Common - Defines data types common to other packages; 4.) Common Codes \u2013Defines commonly used lists of codes with special semantics; 5.) DescribeSensor \u2013 Defines the request and response types of an operation used to retrieve metadata about a given sensor; 6.) UpdateSensorDescription \u2013Defines the request and response types of an operation used to modify the description of a given sensor; 7.) InsertSensor \u2013 Defines the request and response types of an operation used to insert a new sensor instance at a service; 8.) DeleteSensor \u2013 Defines the request and response types of an operation used to remove a sensor from a service. These packages use data types specified in other standards. Those data types are normatively referenced herein, instead of being repeated in this standard. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1102", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1102", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1102", "url": "https:\/\/hdl.handle.net\/11329\/1102" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "SWE Service Model" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/969", "name": "Ciguatera: a field reference guide.", "description": " - Ciguatera is a form of food poisoning caused by eating fish containing toxins called ciguatoxins which come from micro-algae living on coral reefs. Ciguatera is a significant public health issue in the Pacific and in all parts of the world where coral reefs are found. Over the past 20 years, several thousand cases of poisoning have been reported, but this number is certainly greatly underestimated. The negative publicity around these events often leads to a reduction of commerce in reef fish in island communities and also jeopardises reef fish exports (although this is probably not an entirely negative outcome given that several locally threatened reef fish species are endangered by the difficulty of controlling the export trade to ecologically sustainable levels). Acknowledging the importance of this issue for Pacific Island communities, the Secretariat of the Pacific Community (SPC) and the Institute of Research for Development (IRD) have decided to jointly produce a field guide reviewing current knowledge on the matter. Chapter 1 of this book is mainly drawn from a document produced by ORSTOM, now IRD, in 1993, which addressed the theoretical aspects of ciguatera and its consequences, highlighting the use of traditional remedies in the South Pacific. This first part has been updated to include new findings. Chapter 2 explains how to assess and reduce the risk of ciguatera poisoning. It provides a practical guide to methods and logical steps for assessing and trying to manage the risk by introducing monitoring measures amongst other things. It is hoped that this joint effort between the two organisations will enable fisheries managers in the region to better understand the causes of ciguatera fish poisoning and manage the problem, learning to live with the risk while reducing it to the absolute minimum. - , - Published - , - Refereed - , - Current - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/969", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/969", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/969", "url": "https:\/\/hdl.handle.net\/11329\/969" }, "author": [ { "@type": "Person", "name": "Laurent, Dominique" }, { "@type": "Person", "name": "Yeeting, Being" }, { "@type": "Person", "name": "Labrosse, Pierre" }, { "@type": "Person", "name": "Gaudechoux, Jean-Paul" } ], "contributor": [ { "@type": "Organization", "name": "Secretariat of Pacific Community (SPC) \/ Institut Recherche pour le'Developpement (IRD)" } ], "keywords": [ "Poisonous fish", "Reef fish", "Fish poisoning", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2186", "name": "Identifying and Achieving Consensus on Health-Related Indicators of Climate Change in Nunavut.", "description": " - Indigenous peoples of the North are affected by climate change, and future changes in climate are likely to continue to pose serious challenges. Climate change and the resulting change in the environment and communities are believed to further compound existing health issues. There is considerable regional variation within the circumpolar world, and each area of the Canadian Arctic has its own unique environmental and societal characteristics. Therefore, to track the impacts on human health in Nunavut, a monitoring framework-one that takes into account the territory's unique context-must be implemented. The objective of this study was to identify human health indicators of climate change on a global scale with a focus on indicators relevant to the Canadian Arctic atmosphere, habitats, and peoples. The Piliriqatigiinniq Community Health Research Model provided the guiding framework for this exploratory study. First, a scoping review of health-related indicators of climate change was conducted. From this review, an initial list of 30 indicators was produced. Second, individuals from multiple sectors were invited to participate in a consensus-building process to identify health-related indicators of climate change for Nunavut. Through individual selection and group discussion, a final set of 20 indicators was chosen by workshop participants. The indicators identified in both phases focused on four key themes: 1) environmental health; 2) morbidity and mortality; 3) population vulnerability; and 4) mitigation, adaptation, and policy. Participants felt these indicators would be useful in practice in Nunavut. Next steps are to implement and monitor the utility of the selected indicators. - , - Refereed - , - 13.b - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2186", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2186", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2186", "url": "https:\/\/hdl.handle.net\/11329\/2186" }, "author": [ { "@type": "Person", "name": "Akearok, Gwen Healey" }, { "@type": "Person", "name": "Holzman, Sara" }, { "@type": "Person", "name": "Kunnuk, Judy" }, { "@type": "Person", "name": "Kuppaq, Nina" }, { "@type": "Person", "name": "Martos, Zoe" }, { "@type": "Person", "name": "Healey, Colleen" }, { "@type": "Person", "name": "Makkik, Romani" }, { "@type": "Person", "name": "Mearns, Ceporah" }, { "@type": "Person", "name": "Mike-Qaunaq, Adrianna" }, { "@type": "Person", "name": "Tabish, Taha" } ], "keywords": [ "Inuit", "Sea ice", "Climate change effects", "Human health", "Cimate change indicators", "Human activity", "Meteorology", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2455", "name": "OSPAR CEMP Guideline. Common indicator: PH1\/FW5 Change in plankton communities. OSPAR Agreement 2018-07. Adopted by BDC(2) 2022, Update 2023.", "description": " - Indicators based on plankton lifeforms have been used to assess community response to sewage pollution (Charvet et al. 1998; Tett et al. 2008), anoxia (Rakocinski 2012), fishing (Bremner et al. 2004), eutrophication (HELCOM 2012), climate change (Beaugrand 2005; Bedford et al. 2020; McQuatters-Gollop et al. 2019), and ocean acidification (Keys et al. 2018). Indicators based on functional groups have been proven relevant for the description of the community\u2019s structure and biodiversity and are more easily inter-compared than other indicators based on taxonomy (Estrada et al. 2004; Gallego et al. 2012; Garmendia et al. 2012; Mouillot et al. 2006). In practice, it is often preferable to aggregate species with similar traits into functional groups, such as lifeforms, rather than assessing the dynamics of individual species. Measures of species abundance are frequently subject to large interannual and regional variation, often due to natural physical dynamics and habitat preferences rather than anthropogenic stressors (de Jonge 2007). Functional group abundance is often less variable because variability in the abundances of the group\u2019s constituent species averages out. Cryptic speciation (species with near-identical appearance) within the plankton community, alongside the limitations of identifying plankton using routine light microscopy techniques, make it difficult to generate accurate counts at a species or genus level. Functional group abundance is more reliable as many plankton lifeforms are easily identified, making comparisons between different laboratories and institutes feasible. Both abundance and biomass data can be used to inform lifeform time-series, depending on the lifeform in question and data availability from monitoring programmes. - , - Published - , - Refereed - , - Current - , - 14.a - , - 14.2 - , - Zooplankton biomass and diversity - , - Phytoplankton biomass and diversity - , - Mature - , - Multi-organisational - , - International - , - Community composition - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2455", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2455", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2455", "url": "https:\/\/hdl.handle.net\/11329\/2455" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Pollution effects", "Phytoplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1088", "name": "Drifting buoys GDAC NetCDF data and metadata format. Version 1.0", "description": " - The present document describes the data formats recognized by the drifting buoys GDAC. The document details the NetCDF data format distributed by the GDAC. Correspondence tables between all the data formats and WIGOS metadata are also included. - , - Published - , - Contributors: Carval Thierry, Poli Paul - , - Current - , - 14 - , - Sea surface temperature - , - Subsurface temperature - , - Surface currents - , - Subsurface currents - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1088", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1088", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1088", "url": "https:\/\/hdl.handle.net\/11329\/1088" }, "contributor": [ { "@type": "Organization", "name": "Ifremer\/Seanoe" } ], "keywords": [ "Drifting buoy", "Atmospheric pressure", "Air temperature", "OceanSITES", "In-situ marine data", "Mooring", "DBCP", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2079", "name": "Standard Operating Procedure: Setting up the oceanography database. V.01.", "description": " - The Institute of Oceanographic Research and Fisheries (IMROP) conducts multiple types of scientific surveys in the Mauritanian EEZ and in its coastal areas. This procedure describes a set of operations to be conducted before and after a survey in order to register metadata in an oceanography database developed in Microsoft Access. The database is freely accessible and easily deployable in other organizations. - , - This work was made possible with the support of the EAF-Nansen Programme \u201cSupporting the Application of the Ecosystem Approach to Fisheries Management considering Climate Change and Pollution Impacts\u201d executed by FAO and the Norwegian Institute of Marine Research (IMR) and funded by the Norwegian Agency for Development Cooperation (NORAD). - , - Published - , - Current - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2079", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2079", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2079", "url": "https:\/\/hdl.handle.net\/11329\/2079" }, "author": [ { "@type": "Person", "name": "Mohamed Mahmoud, Mohamed" }, { "@type": "Person", "name": "Munoz Mas, Cristian" } ], "contributor": [ { "@type": "Organization", "name": "Institut Mauritanien De Recherches Oc\u00e9anographiques et De P\u00eaches (IMROP)" } ], "keywords": [ "Oceanography", "Cross-discipline", "CTD", "current profilers", "sea level recorders", "thermosalinographs", "Metadata management", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/827", "name": "Second Workshop Report on the Quality Assurance of Real-Time Ocean Data: Waves and Currents (QARTOD\u2013II).", "description": " - The Second Workshop on the Quality Assurance of Real-Time Ocean Data (QARTOD-II) took place in Norfolk, Virginia on February 28 - March 2, 2005, sponsored by NOAA\/NOS\/COOPS and hosted by Old Dominion University\u2019s Center for Coastal Physical Oceanography and Nauticus, The National Maritime Center. The meeting was attended by approximately 80 participants from Federal and State governments, academia, and industry. The main goal was to address the specific calibration, metadata and quality assurance\/quality control (QA\/QC) needs of in-situ currents, remote currents (high frequency radar), and waves. - , - NOAA\/NOS\/Center for Operational Oceanographic Products and Services - , - Unpublished - , - Current - , - Sea state - , - Surface currents - , - Subsurface currents - , - TRL 2 Technology concept and\/or application formulated - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/827", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/827", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/827", "url": "https:\/\/hdl.handle.net\/11329\/827" }, "contributor": [ { "@type": "Organization", "name": "Norfolk, VA USA" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::wave recorders", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2397", "name": "Ocean Data Analysis with R Programming for Early Career Ocean Professionals (ECOPs) (Asia).", "description": " - The course serves as an introduction to R programming language and software environment (RStudio) for data exploration, cleaning, organizing, analysis and visualization. Relevant oceanographic (physical, chemical and biological) datasets will be used in the training, making it easy to relate, understand and apply the course concept. The course is designed for Early Career Ocean Professionals, hence, no prior experience is required. - , - 14.a - , - Mature - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2397", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2397", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2397", "url": "https:\/\/hdl.handle.net\/11329\/2397" }, "keywords": [ "R Programming language", "Software environment", "RStudio", "Cross-discipline", "Data processing", "Data analysis", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/330", "name": "IOC Strategic Plan for Oceanographic Data and Information Management (2013-2016). [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/345]", "description": " - The IOC Data and Information Management Strategy is for all data collected in IOC programmes. The vision is for \u201cA comprehensive and integrated ocean data and information system, serving the broad and diverse needs of IOC Member States, for both routine and scientific use.\u201d The concept of delivering a data and information service for the \u201cglobal ocean commons\u201d (i.e. global public good) is central to this vision. The objectives of the Strategy are to: \u2022 Facilitate and promote the exchange of oceanographic data and information in compliance with the IOC Oceanographic Data Exchange Policy; \u2022 Deliver a comprehensive distributed data system that can receive data collected by all IOC programmes and projects, as well as other marine science programmes, and deliver them in a uniform and transparent way to all users; and \u2022 Deliver a system that can collect bibliographic and factual information from all IOC programmes, as well as other marine science programmes, and projects and deliver them in a uniform and transparent way to all users. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/330", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/330", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/330", "url": "https:\/\/hdl.handle.net\/11329\/330" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Information management", "Information systems", "Information retrieval", "Information centres", "Data centres", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data acquisition", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data processing", "Data Management Practices::Data exchange", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1614", "name": "IMOS NetCDF Conventions: Conventions and Reference Tables, Version 1.4.2, June 30th 2021.", "description": " - The main purpose of this document is to specify the format of the files that are used to distribute IMOS data, and to document the standards used therein. This includes naming conventions, or taxonomy, as well as metadata content. The IMOS NetCDF Conventions document was originally based on the one prescribed by the OceanSITES User\u2019s Manual, version 1.1. As both documents have evolved since, there are now significant differences between them but we will try to reduce this gap in the future. The OceanSITES program is the global network of open-ocean sustained time series reference stations that have been implemented by an international partnership of researchers. The IMOS NetCDF Conventions document also draws on documents that have been produced for the IMOS project (see References). - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1614", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1614", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1614", "url": "https:\/\/hdl.handle.net\/11329\/1614" }, "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Physical oceanography", "Data quality control", "Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1689", "name": "MEDIN data guideline for data by grab or core. Version 5.1.", "description": " - This guideline defines the format of data and information produced from the sampling of sediment by grab or core, including Particle Size Analysis (PSA), taxonomic data, and biotope determinations. Used correctly the guideline facilitates easy use and reuse of the data. - , - Published - , - Mature - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1689", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1689", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1689", "url": "https:\/\/hdl.handle.net\/11329\/1689" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2384", "name": "Ten simple rules for making a vocabulary FAIR", "description": " - We present ten simple rules that support converting a legacy vocabulary\u2014a list of terms available in a print-based glossary or in a table not accessible using web standards\u2014into a FAIR vocabulary. Various pathways may be followed to publish the FAIR vocabulary, but we emphasise particularly the goal of providing a globally unique resolvable identifier for each term or concept. A standard representation of the concept should be returned when the individual web identifier is resolved, using SKOS or OWL serialised in an RDF-based representation for machine-interchange and in a web-page for human consumption. Guidelines for vocabulary and term metadata are provided, as well as development and maintenance considerations. The rules are arranged as a stepwise recipe for creating a FAIR vocabulary based on the legacy vocabulary. By following these rules you can achieve the outcome of converting a legacy vocabulary into a standalone FAIR vocabulary, which can be used for unambiguous data annotation. In turn, this increases data interoperability and enables data integration. - , - Refereed - , - 14.a - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2384", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2384", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2384", "url": "https:\/\/hdl.handle.net\/11329\/2384" }, "author": [ { "@type": "Person", "name": "Cox, Simon J. D." }, { "@type": "Person", "name": "Gonzalez-Beltran, Alejandra N." }, { "@type": "Person", "name": "Magagna, Barbara" }, { "@type": "Person", "name": "Marinescu, Maria- Cristina" } ], "keywords": [ "FAIR Principles", "Legacy vocabulary", "FAIR vocabulary", "Cross-discipline", "Controlled vocabulary development", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1740", "name": "Ocean solutions Earth solutions: Introduction and Contents.", "description": " - Ocean Solutions, Earth Solutions describes realistic, science-based solutions for protecting the ocean and thus the earth. The book\u2019s 16 chapters present high-level marine science and research from the inaugural Esri\u00ae Ocean GIS Forum (2013) at Esri headquarters in Redlands, California. It is written for an audience of government decision-makers, ocean and coastal science researchers, GIS practitioners, state and local coastal zone managers, and students of these topics. The book showcases GIS best practices from more than 50 contributing authors and includes digital story maps and additional online resources. Ocean Solutions, Earth Solutions provides solutions, underpinned by good, digestible science, for protecting the ocean while ensuring our safety on earth; for managing and mitigating conflict among multiple, simultaneous uses of the ocean; for geodesigning the seas; and for discovering and exploring a part of the planet still less well known than the moon, Mars, or Venus. - , - Published - , - Current - , - N\/A - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1740", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1740", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1740", "url": "https:\/\/hdl.handle.net\/11329\/1740" }, "author": [ { "@type": "Person", "name": "Wright, Dawn J." } ], "contributor": [ { "@type": "Organization", "name": "Esri Press" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/694", "name": "Temporal trend monitoring: Contaminant levels in tissues of Atlantic cod.", "description": " - The study of trends in trace contaminant concentrations in marine species has been of interest to the International Council for the Exploration of the Sea (ICES) since the early 1970s. The investigation of temporal trends in contaminant levels in fish, both as monitors of their environment and from a human health concern, is a topic under consideration by the ICES Working Group on the Statistical Aspects of Trend Monitoring (WGSATM) as a part of the Cooperative ICES Monitoring Studies Programme (CMP). Many problems were encountered during the first attempts by WGSATM to analyse the CMP data. In addition to the presence of outlying observations and significant differences between years in their coefficients of regression of (log) contaminant level(s) on (log) biological variable(s), many inconsistencies were found in the annual sampling structures (Anon., 1987). These often reflected the inability to replicate the size (length, age) structure characterizing earlier samples and the failure to obtain a sufficiently wide range in the covariables selected for study. These inconsistencies affected the annual regression lines, yielding, in many instances, insignificant regressions. Further discussion within WGSATM identified many sampling and handling differences which probably arose from the too general nature of the past guidelines for trend monitoring. The Working Group emphasized the importance of essentially identical structures within all samples comprising a temporal trend study and emphasized that trend monitoring can only be done effectively if all steps of the study are thoroughly described and properly followed by all participants. Therefore, the WGSATM recommended that a series ofleaflets be prepared giving specific details of sampling, handling, and analysis for each species being studied. The first leaflet (Vthe et al., 1991) is a general introduction, describing the problems and requirements when monitoring temporal trends in contaminant levels in the marine environment, particularly biota. This document describes the Canadian techniques used to study temporal trends in contaminant levels, both tissue concentrations and burdens (tissue concentration times the total weight of that tissue in the animal), in individual Atlantic cod (Gadus morhua) muscle and liver tissues over the period 1977-1985. The decision to study Atlantic cod was based, inter alia, upon the importance of this species to Canada and the North Atlantic community, its widespread distribution within the ICES area, and the identification of a relatively discrete and stable cod stock in the southern Gulf of St. Lawrence. The procedural descriptions which follow are given only in outline form, along with the bases upon which such procedures were developed. Full details, including the statistical analyses carried out on the data, are given in the following references: Scott et al. (1978, 1981, 1983), Misra et al. (1988, 1989a,b,c), and Misra and Vthe (1985, 1986, 1987a,b). The chemical analytical procedures for the measurement of trace contaminants are not considered here, but are included in the above-mentioned references. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/694", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/694", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/694", "url": "https:\/\/hdl.handle.net\/11329\/694" }, "author": [ { "@type": "Person", "name": "Uthe, J. F." }, { "@type": "Person", "name": "Misra, R. K." }, { "@type": "Person", "name": "Chou, C. L." }, { "@type": "Person", "name": "Scott, D. P." }, { "@type": "Person", "name": "Musial, C. J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/648", "name": "Acquisition and analysis of remote sensing imagery of harmful algal blooms.", "description": " - Remote sensing was long considered an obvious tool for studying the distribution of harmful algal bloom (HAB) organisms over larger spatial and shorter time scales than is possible with ship-based sampling (Tester et al. 1991; Keafer and Anderson 1993). Legacy and nextgeneration instrumentation and sensors, including SeaWiFS, MODIS, MERIS, and the OLCI sensor on Sentinel-3, are dramatically improving the ability to determine constituents in the coastal ocean. Satellite altimeters and scatterometers also provide geophysical fields such as dynamic height (current patterns) and local winds (e.g. upwelling indices). Currently, MODIS Aqua and VIIRS are still operational, while the replacement for MERIS, OLCI, is now operational. In some regions, remote sensing has already become a valuable tool for helping to predict the onset, location, and transport of HABs. For example, in the Florida Shelf and Gulf of Mexico, SeaWiFS and MODIS imagery has been incorporated into the U.S. NOAA HAB Bulletin reports to identify potential red tide events, while feature-tracking has been used to follow the spatial transport of these events (e.g. Tester et al. 1991; Tester and Steidinger 1997). Progress has also been made on the use of inherent optical properties, derived from ocean color inversion algorithms, to identify functional phytoplankton groups based on fundamental biophysical properties (e.g. Lohrenz et al. 2003; Schofield et al. 1999). Although multi-spectral scanners (e.g. MODIS) can be used to detect the reflectance of chlorophyll a and other pigments with some accuracy, these efforts have been constrained by the inability of the sensors to discriminate phytoplankton populations at the species level. This is, of course, a fundamental requirement of HAB programs. Instead, progress has been made by first linking specific water masses to HAB organisms and then identifying and tracking that water mass with an appropriate remote sensing technique. In particular, remotely-sensed sea surface temperatures (SST) have been used to follow the movement of fronts, water masses, or other physical features where HAB species accumulate. A fundamental problem for identifying HAB events, however, is that the imagery is still limited to identification of chlorophyll or other biomass proxies rather than individual organisms (at the genus or even functional group level). Satellite imagery by itself will simply not provide the specificity needed to identify particular organisms. Recent advances have begun to extend our ability to use remote sensing beyond simple bulk chlorophyll measurements, however. For example, considerable work has gone into identifying phytoplankton functional groups, or groupings of optically similar organisms such as diatoms, dinoflagellates, and coccolithophorids. In some specific cases, optical estimates (either from in-water measurements or remote sensing) can be used to identify particular organisms, as some have unique optical properties. This includes Karenia brevis, Trichodesmium spp., and cyanobacterial (blue-green) algal blooms (Alvain et al. 2008; Stumpf et al. 2003; Westberry et al. 2005; Wynne et al. 2008). While diatoms and dinoflagellates are very similar optically, and both can cause high biomass events, there appear to be enough differences to discriminate between dinoflagellate- and diatomdominated surface waters as well (Dierssen et al. 2006; Palacios 2012). In addition to the limitations of optical methods (including remote sensing) for the identification of specific HAB organisms, another problem arises when imaging high biomass blooms. When the biomass exceeds ~50 mg\/m3 total chlorophyll, standard satellite algorithms (e.g. MODIS OC3 or MERIS Algal-2) often fail because the water-leaving radiances are high enough to trigger atmospheric correction failures. This results in consistent underestimates of high biomass events in coastal waters. This can be remedied relatively easily by the use of non-standard ocean color products. For example, Kahru and Mitchell (2008) showed that the 250 m resolution bands on the MODIS satellite can be used to develop a \u201cparticle index\u201d that closely tracks red tides, while also providing the highest possible spatial resolution. Hu et al. (2005) advocated the use of fluorescence bands for the same reason; a second advantage is that only chlorophyll-containing particles strongly fluoresce, solving the issue of working in optically complex coastal waters. Chen et al. (2009) extended this by using multiple bands (fluorescence line height (FLH), backscatter, etc) to develop a \u201cmachine learning\u201d algorithm that can detect red tides. Given enough data it is also possible to develop region-specific algorithms that work better than the global methods (Kahru et al. 2012). To summarize, using modern methods and data freely available from several ocean color sensors, it is currently possible to identify high biomass HAB events (e.g., red tides), although this requires application of non-standard products. The biomass estimates can be further categorized into phytoplankton functional types, potentially useful for identifying subclasses of blooms such as high biomass dinoflagellate events. These methods require more effort and access to some laboratory or field optical measurements to parameterize the models. It is not currently possible (and is unlikely to become possible) to identify species of algae from space. When combined with other data streams such as currents, field measurements, and in-water monitoring programs, unusual events can be identified, tracked, and the subsequent impacts predicted if there are independent means of identifying the organisms. This is most effective when remote sensing is combined with in-water observations as part of an ocean observing program (see Chapter 3; Frolov et al. 2013; Kudela et al. 2013). - , - Published - , - Refereed - , - Current - , - 14.1 - , - Phytoplankton biomass and diversity - , - Ocean colour - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/648", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/648", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/648", "url": "https:\/\/hdl.handle.net\/11329\/648" }, "author": [ { "@type": "Person", "name": "Kudela, Raphael M." }, { "@type": "Person", "name": "Stumpf, Richard P." }, { "@type": "Person", "name": "Petrov, Peter" } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Satellite imagery", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data analysis", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2432", "name": "Network harmonization recommendations. EuroSea Deliverable D3.7.", "description": " - This document proposes recommendations on metadata and information to be associated with marine data from ocean observation networks. The objective is to reach a common basis of metadata and information for any in situ networks that will ease the interoperability and their integration in the various European data integrators such as Copernicus marine, EMODnet or SeaDataNet while being in line with what has been done at international level. Proposed recommendations are built from previous work through projects, different initiatives and thanks to EuroGOOS and the European Ocean Observing System (EOOS). They are, and will need to be, complemented by additional metadata and information specific to the network considered. Each recommendation is associated with a criterion based on the FAIR principles as proposed by the international collective FORCE11. The output table obtained from these proposed basic recommendations is then filled by the different EuroSea in situ networks which highlight similarities and differences and the maturity of the networks. It gives a good overview of the existing metadata and information used by the observation networks for further discussions and improvements. - , - European Union Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2432", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2432", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2432", "url": "https:\/\/hdl.handle.net\/11329\/2432" }, "author": [ { "@type": "Person", "name": "Pouliquen, Sylvie" }, { "@type": "Person", "name": "Obaton, Dominique" }, { "@type": "Person", "name": "Novellino, Antonio" }, { "@type": "Person", "name": "Giorgetti, Alessandra" }, { "@type": "Person", "name": "Hassoun, Abed El Rahman" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "FAIR Principles", "EMODNet", "Copernicus", "Data harmonisation", "Cross-discipline", "Metadata management", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1717", "name": "Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data.", "description": " - The quality of biodiversity data publicly accessible via aggregators such as GBIF (Global Biodiversity Information Facility), the ALA (Atlas of Living Australia), iDigBio (Integrated Digitized Biocollections), and OBIS (Ocean Biogeographic Information System) is often questioned, especially by the research community. The Data Quality Interest Group, established by Biodiversity Information Standards (TDWG) and GBIF, has been engaged in four main activities: developing a framework for the assessment and management of data quality using a fitness for use approach; defining a core set of standardised tests and associated assertions based on Darwin Core terms; gathering and classifying user stories to form contextual-themed use cases, such as species distribution modelling, agrobiodiversity, and invasive species; and developing a standardised format for building and managing controlled vocabularies of values. Using the developed framework, data quality profiles have been built from use cases to represent user needs. Quality assertions can then be used to filter data suitable for a purpose. The assertions can also be used to provide feedback to data providers and custodians to assist in improving data quality at the source. A case study, using two different implementations of tests and assertions based around the Darwin Core \"Event Date\" terms, were also tested against GBIF data, to demonstrate that the tests are implementation agnostic, can be run on large aggregated datasets, and can make biodiversity data more fit for typical research uses. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1717", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1717", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1717", "url": "https:\/\/hdl.handle.net\/11329\/1717" }, "author": [ { "@type": "Person", "name": "Chapman, Arthur D." }, { "@type": "Person", "name": "Belbin, Lee" }, { "@type": "Person", "name": "Zermoglio, Paula F." }, { "@type": "Person", "name": "Wieczorek, John" }, { "@type": "Person", "name": "Morris, Paul J." }, { "@type": "Person", "name": "Nicholls, Miles" }, { "@type": "Person", "name": "Rees, Emily Rose" }, { "@type": "Person", "name": "Veiga, Allan Koch" }, { "@type": "Person", "name": "Thompson, Alexander" }, { "@type": "Person", "name": "Saraiva, Antonio Mauro" }, { "@type": "Person", "name": "James, Shelley A," }, { "@type": "Person", "name": "Gendreau, Christian" }, { "@type": "Person", "name": "Benson, Abigail" }, { "@type": "Person", "name": "Schigel, Dmitry" } ], "keywords": [ "Biota abundance, biomass and diversity", "Data quality control", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1470", "name": "GliderTools: A Python Toolbox for Processing Underwater Glider Data.", "description": " - Underwater gliders have become widely used in the last decade. This has led to a proliferation of data and the concomitant development of tools to process the data. These tools are focused primarily on converting the data from its raw form to more accessible formats and often rely on proprietary programing languages. This has left a gap in the processing of glider data for academics, who often need to perform secondary quality control (QC), calibrate, correct, interpolate and visualize data. Here, we present GliderTools, an open-source Python package that addresses these needs of the glider user community. The tool is designed to change the focus from the processing to the data. GliderTools does not aim to replace existing software that converts raw data and performs automatic first-order QC. In this paper, we present a set of tools, that includes secondary cleaning and calibration, calibration procedures for bottle samples, fluorescence quenching correction, photosynthetically available radiation (PAR) corrections and data interpolation in the vertical and horizontal dimensions. Many of these processes have been described in several other studies, but do not exist in a collated package designed for underwater glider data. Importantly, we provide potential users with guidelines on how these tools are used so that they can be easily and rapidly accessible to a wide range of users that span the student to the experienced researcher. We recognize that this package may not be all-encompassing for every user and we thus welcome community contributions and promote GliderTools as a community-driven project for scientists. - , - Refereed - , - 14 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1470", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1470", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1470", "url": "https:\/\/hdl.handle.net\/11329\/1470" }, "author": [ { "@type": "Person", "name": "Gregor, Luke" }, { "@type": "Person", "name": "Ryan-Keogh, Thomas J." }, { "@type": "Person", "name": "Nicholson, Sarah-Anne" }, { "@type": "Person", "name": "du Plessis, Marcel" }, { "@type": "Person", "name": "Giddy, Isabelle" }, { "@type": "Person", "name": "Swart, Sebastiaan" } ], "keywords": [ "Python", "Fluorescence", "Backscatter", "Gridding", "Interpolation", "Software", "Gliders", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2230", "name": "ICES Guidelines for Benchmarks. Version 1.", "description": " - The guidelines describe the principles, elements, purpose, types, and prioritization of ICES benchmarks. The information in this document is relevant for the ICES expert groups delivering scientific evidence for benchmark processes and reviews but also for interested policy makers, stakeholders and the wider scientific community. - , - Published - , - Refereed - , - Current - , - 14.A - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - International - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2230", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2230", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2230", "url": "https:\/\/hdl.handle.net\/11329\/2230" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Benchmark processes", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/102", "name": "Oceanographic survey techniques and living resources assessment methods.", "description": " - oceanographic measurement; environmental monitoring; coastal zones; environmental management; marine resources; guides - , - This manual presents oceanographic survey techniques and living resources assessment methods. It is the task of administrators and managers to seek a wise balance between the many conflicting demands being made on the coastal environment, ensuring that its limits of tolerance and its capacity for sustainability are not exceeded. In order to do this successfully they need a comprehensive management approach giving them a holistic view of the resources, the demands, and the various direct and indirect physical interrelationships. Integrated coastal area management is an approach that allows such a comprehensive and holistic view to be taken of the multiple, often conflicting, demands that are made on coastal resources. It provides decision-makers, planners and managers with a practical methodology for resolving conflicts and assigning priorities and for balancing protection and development. - , - http:\/\/unesdoc.unesco.org\/images\/0010\/001036\/103685e.pdf - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/102", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/102", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/102", "url": "https:\/\/hdl.handle.net\/11329\/102" }, "author": [ { "@type": "Person", "name": "Tortell, Philip" }, { "@type": "Person", "name": "Awosika, Larry" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Living resources survey" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2583.2", "name": "Vessel Recruiting Best Practices. Version 2.0 [GOOS ENDORSED PRACTICE]", "description": " - Ships of opportunity, such as commercial transport, fishing, recreational, and research vessels, are excellent resources to reduce the costs and environmental impacts of sea-going data collection. Because they already operate in a given ocean region, they can provide a research equipment platform without the primary expense of chartering. While many vessel operators are eager to assist researchers for the good of society, if the operation is non-essential to their enterprise, the partnerships are susceptible to termination due to the slightest conflict. One bad incident can cause a company or an entire industry segment to enact policies against non-essential personnel. Therefore, it is critical for users of ships of opportunity to carefully follow protocols designed to create a safe and positive experience for both parties. These best practices for successfully partnering with ships of opportunity to engage in meteorological and ocean observing activities emphasize the recruitment of commercial vessels, including communication, etiquette, safety, installation, and logistics. Promoting these techniques aims to help assure a successful research endeavour and foster greater participation from commercial industries. The suggested methods were developed from the experiences of the Volunteer Observing Ship (VOS) Scheme and the Ship of Opportunity Program (SOOP) under the Ship Observations Team (SOT), a network of the Global Ocean Observing System, Observations Coordination Group (GOOS, OCG) and Science Research on Commercial Ships (Science RoCS). While the focus of these programs is on trans-basin cruises between international destinations, these best practices are suitable and adaptable for any type of research employing a volunteer vessel of opportunity in any waters. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Multi-organisational - , - National - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2583.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2583.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2583.2", "url": "https:\/\/hdl.handle.net\/11329\/2583.2" }, "author": [ { "@type": "Person", "name": "Parks, Justine" }, { "@type": "Person", "name": "Hanstein, Craig" }, { "@type": "Person", "name": "Kramp, Martin" }, { "@type": "Person", "name": "Strom, Kerry" }, { "@type": "Person", "name": "Cabri\u00e9, Joel" }, { "@type": "Person", "name": "Rodriguez, Julian J." }, { "@type": "Person", "name": "de Villiers, Marden\u00e9 C." } ], "contributor": [ { "@type": "Organization", "name": "Scripps Institution of Oceanography, Climate, Atmospheric Sciences, and Physical Oceanography, University of California" } ], "keywords": [ "Ships of Opportunity", "Ship of Opportunity Program", "SOOP", "Voluntary Observing Ships (VOS)", "Ship Observations Team", "Data Collection", "WMO-IOC-Ship Observations Team", "Recruiting vessels", "Physical oceanography", "Meteorology", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1914", "name": "Lab-on-Chip for In Situ Analysis of Nutrients in the Deep Sea.", "description": " - Microfluidic reagent-based nutrient sensors offer a promising technology to address the global undersampling of ocean chemistry but have so far not been shown to operate in the deep sea (>200 m). We report a new family of miniaturized lab-on-chip (LOC) colorimetric analyzers making in situ nitrate and phosphate measurements from the surface ocean to the deep sea (>4800 m). This new technology gives users a new low-cost, high performance tool for measuring chemistry in hyperbaric environments. Using a combination of laboratory verification and field based tests, we demonstrate that the analyzers are capable of in situ measurements during profiling that are comparable to laboratory based analyses. The sensors feature a novel and efficient inertial flow mixer that increases the mixing efficiency and reduces the back pressure and flushing time compared to a previously used serpentine mixing channel. Four separate replicate units of the nitrate and phosphate sensor were calibrated in the laboratory and showed an average limit of detection of 0.03 \u03bcM for nitrate and 0.016 \u03bcM for phosphate. Three on-chip optical absorption cell lengths provide a large linear range (to >750 \u03bcM (10.5 mg\/L-N) for nitrate and >15 \u03bcM (0.47 mg\/L-P) for phosphate), making the instruments suitable for typical concentrations in both ocean and freshwater aquatic environments. The LOC systems automatically collected a series of deep-sea nitrate and phosphate profiles in the northeast Atlantic while attached to a conductivity temperature depth (CTD) rosette, and the LOC nitrate sensor was attached to a PROVOR profiling float to conduct automated nitrate profiles in the Mediterranean Sea. - , - Refereed - , - 14.a - , - Nutrients - , - Pilot and Demonstrated - , - Validated (by third parties) - , - Colorimetric analyzers - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1914", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1914", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1914", "url": "https:\/\/hdl.handle.net\/11329\/1914" }, "author": [ { "@type": "Person", "name": "Beaton, Alexander D." }, { "@type": "Person", "name": "Schaap, Allison M." }, { "@type": "Person", "name": "Pascal, Robin" }, { "@type": "Person", "name": "Hanz, Rudolf" }, { "@type": "Person", "name": "Martincic, Urska" }, { "@type": "Person", "name": "Cardwell, Christopher L." }, { "@type": "Person", "name": "Morris, Andrew" }, { "@type": "Person", "name": "Clinton-Bailey, Geraldine" }, { "@type": "Person", "name": "Saw, Kevin" }, { "@type": "Person", "name": "Hartman, Susan E." }, { "@type": "Person", "name": "Mowlem, Matthew C." } ], "keywords": [ "Lab-on-Chip (LOC)", "Nitrate sensor", "Phosphate sensors", "Nutrients", "colorimeters", "nutrient analysers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1633", "name": "Our Knowledge Our Way in caring for Country: Indigenous-led approaches to strengthening and sharing our knowledge for land and sea management. Best Practice Guidelines from Australian Experiences.", "description": " - These Guidelines are a key output from a project of the Australian Government\u2019s National Environmental Science Program (NESP), Northern Australia Environmental Resources (NAER) Hub, titled Knowledge Brokering for Indigenous Land Management. Building institutional and individual capacity through distilling and sharing best practice is a key goal of the project funders and partners. The project co-leaders \u2013 the North Australian Indigenous Land and Sea Management Alliance and CSIRO \u2013 established an Indigenous-majority Project Steering Group to ensure Indigenous leadership of the project (Table i). The Project Steering Group asked \u201cwho decides what is best practice and how?\u201d and provided the critical direction that: Indigenous people must decide what is best practice in working with our knowledge. The Guidelines are therefore Indigenous-led and based on an open, transparent process established by the Project Steering Group of calling for Indigenous people to submit case studies where: - Indigenous people are using their Indigenous and traditional knowledge to care for their Country, including in the development of business opportunities and enterprises - Indigenous people have experienced positive engagement and good outcomes when their Indigenous knowledge has been brought into comanagement or research projects - Indigenous people and their knowledge have been treated the right way when engaging with others (government, non-government organisations, researchers, industry, etc.) - Indigenous land managersshare lessons learned about knowledge sharing- Indigenous land managers identify the conditions under which good knowledge sharing can occur(Appendix 1). - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - National - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1633", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1633", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1633", "url": "https:\/\/hdl.handle.net\/11329\/1633" }, "contributor": [ { "@type": "Organization", "name": "NAILSMA and CSIRO" } ], "keywords": [ "Indigenous knowledge", "Indigenous people", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2600", "name": "A field manual for marine protected area recreational user knowledge, attitude and practice (KAP) surveys.", "description": " - Marine Protected Area (MPA) recreational Knowledge, Attitudes and Practice (KAP) surveys are a research approach to elicit basic quantitative information about marine recreational users\u2019 Knowledge about, Attitudes Towards and Practices within MPAs. KAP surveys have been widely used in a range of disciplines including research in health, education and sustainability to provide a rapid understanding of a topic. In an MPA context, KAP surveys allow managers to assess MPA performance relative to social objectives and offer guidance for MPA planning, monitoring and management. For example, collecting MPA recreational user data on awareness, support, and compliance with zoning can complement consultation programs during MPA planning, and enables customisation of communication strategies, educational initiatives, and compliance management efforts. Additionally, recreational user practice data provides information on spatial distributions of use and catch, facilitating ecological monitoring, targeted education and enforcement in high use areas. This data can also be used to estimate the value of recreation connected to an MPA (non-market use value) and predict the impact to recreation associated with zoning arrangements (i.e., the cost experienced by displaced recreators). The data outputs and management implications of MPA recreational users\u2019 KAP surveys closely align with a national Adaptive Management Plan from Parks Australia (who manage the Australian Marine Parks located in Commonwealth waters), specifically for their management programs to, \u201cimprove awareness, understanding and support for marine parks\u201d and \u201cprovide for and promote a range of environmentally appropriate, high quality recreation and tourism experiences and contribute to Australia\u2019s visitor economy\u201d (Director of National Parks 2018). The merits of MPA recreational users\u2019 KAP surveys have led to their incorporation into socio-economic research and monitoring within Australia and internationally. - , - National Environmental Science Programme - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2600", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2600", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2600", "url": "https:\/\/hdl.handle.net\/11329\/2600" }, "author": [ { "@type": "Person", "name": "Hamre, Nicole" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Phillips, Genevieve" }, { "@type": "Person", "name": "Reynolds, Doc" }, { "@type": "Person", "name": "Beach, Donna" }, { "@type": "Person", "name": "Lavers, Jennifer L." }, { "@type": "Person", "name": "Webb, Wayne" }, { "@type": "Person", "name": "Webb, Zac" }, { "@type": "Person", "name": "Watson, Sharnae" }, { "@type": "Person", "name": "Guilfoyle, Dave" }, { "@type": "Person", "name": "Adams, Vanessa" }, { "@type": "Person", "name": "Aston, Charlotte" }, { "@type": "Person", "name": "Bryars, Simon" }, { "@type": "Person", "name": "De Valck, Jeremy" }, { "@type": "Person", "name": "Gelves-Gomez, Francisco" }, { "@type": "Person", "name": "Gibbons, Brooke" }, { "@type": "Person", "name": "Martin, Carol" }, { "@type": "Person", "name": "McPhee, Daryl" }, { "@type": "Person", "name": "Mitchell, Jonathan" }, { "@type": "Person", "name": "Ogier, Emily" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Rose, Michelle" }, { "@type": "Person", "name": "Shields, Brooke" }, { "@type": "Person", "name": "Smith, Amanda" }, { "@type": "Person", "name": "Spencer-Cotton, Alaya" }, { "@type": "Person", "name": "Navarro, Matthew" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Marine Protected Areas (MPA)", "Knowledge, Attitudes and Practice (KAP) survey", "Cross-discipline", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2337", "name": "International Union of Geological Sciences Manual of Standard Methods for Establishing the Global Geochemical Reference Network.", "description": " - \u201cEverything in and on the Earth - mineral, animal and vegetable - is made from one, or generally some combination of, the natural chemical elements occurring in the rocks of the Earth\u2019s crust and the surficial materials derived from them. Everything that is grown, or made, depends upon the availability of the appropriate elements. The existence, quality and survival of life depends upon the availability of elements in the correct proportions and combinations. Because natural processes and human activities are continuously modifying the chemical composition of our environment, it is important to determine the present abundance and spatial distribution of the elements across the Earth\u2019s surface in a much more systematic manner than has been attempted hitherto\u201d (Darnley et al., 1995, p.x). Although such a global database is urgently needed for multi-purpose use, the systematic attempt is still in its infancy because of the non-existence of a manual of comprehensive and standardised methods of sampling and other supporting procedures. The current \u2018International Union of Geological Sciences Manual of Standard Methods for Establishing the Global Geochemical Reference Network\u2019 fills this gap. The Manual follows the concept of 7356 Global Terrestrial Network grid cells of 160x160 km, covering the land surface of Earth, with five random sites within each grid cell for the collection of samples. This allows the establishment of the standardised Global Geochemical Reference Network with respect to rock, residual soil, humus, overbank sediment, stream water, stream sediment and floodplain sediment. Apart from the instructions for the collection of samples, the Manual covers sample preparation and storage, development of reference materials, geoanalytical methods, quality control procedures, geodetic and parametric levelling of existing geochemical data sets, data conditioning for the generation of time-independent geochemical data, management of data and map production, and finally project management. The methods described herein, apart from their use for Establishing the Global Geochemical Reference Network, can be used in other geochemical surveys at any mapping scale. - , - Published - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2337", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2337", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2337", "url": "https:\/\/hdl.handle.net\/11329\/2337" }, "contributor": [ { "@type": "Organization", "name": "International Union of Geological Sciences Commission on Global Geochemical Baselines" } ], "keywords": [ "Rock and sediment physical properties", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1601", "name": "Marine Data Management, Governance and the MEDIN toolset,19-23 April 2021. OTGA Training Course.", "description": " - This training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN. - , - 14.a - , - N\/A - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1601", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1601", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1601", "url": "https:\/\/hdl.handle.net\/11329\/1601" }, "keywords": [ "MEDIN", "Training Course", "Marine Environmental Data and Information Network", "Physical oceanography", "Data management planning and strategy development", "Data processing", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1759", "name": "Addressing underwater noise in Europe: Current state of knowledge and future priorities.", "description": " - Anthropogenic underwater noise impacts have become a hot topic for environmental managers and regulators in Europe and beyond. Sounds from human activity at sea include shipping and other marine craft, construction and installations, sonar and seismic surveys. This Future Science Brief presents an update on the previous EMB publication on underwater noise, Position Paper N\u00b0 13 on \u201cThe effects of anthropogenic sound on marine mammals: A draft research strategy\". This Future Science Brief expands the scope of the discussion beyond marine mammals to fishes and invertebrates, and outlines key developments that have taken place since the Position Paper\u2019s publication. The main chapters of the document focus on: the advances in our knowledge on anthropogenic underwater sound in the Ocean; the new knowledge that has been developed on the effects of noise on marine organisms; and the measures that have been taken to address the issue of underwater noise. While significant progress has been made, knowledge gaps still remain. The document therefore presents these outstanding issues and highlights priority actions for addressing them. This Future Science Brief states that the most urgent priority actions\/questions are to: 1. Develop collaborative international standards applicable to all steps of the risk framework; 2. Conduct comprehensive monitoring combined with spatial ecological modelling of marine species\u2019 dynamic habitat use, movements, behaviour and distribution to establish baselines; 3. Foster comprehensive monitoring and data collection of current soundscapes \/ ambient noise, including via joint monitoring programmes in existing and new areas; 4. Shortlist high priority (and biologically relevant) sound sources and perform standardized source characterization studies; 5. Undertake hearing studies on baleen whales and on selected fish and invertebrate species; 6. Conduct field and modelling studies on changes in acoustic habitats to identify masking risks to communication in fishes and marine mammals; 7. Conduct further studies on behavioural response of marine mammals and fishes due to exposure to high intensity impulsive sounds to assess population consequences; 8. Conduct taxa-relevant studies on hearing impairment and physiological stress to address existing knowledge gaps in invertebrates, fishes and marine mammals; 9. Conduct dedicated studies including multi-species investigations, predator-prey interactions, and interaction with other food web levels, addressing the question of how noise impacts combine with other stressors; 10. Develop frameworks and conduct studies to allow population-level assessment of effects from cumulative impact of noise and other pressures; 11. Conduct dedicated modelling and field studies to improve understanding on effectiveness, safety and cost-effectiveness of noise mitigation devices, mitigation measures and management options; 12. Develop regional action plans and guidelines for Environmental Impact Assessment and policies; and 13. Initiate international collaborative transdisciplinary projects to develop stakeholder and societal capacity in understanding and addressing underwater noise. - , - European Marine Board - , - Published - , - Current - , - 14.1 - , - 14.a - , - Ocean sound - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1759", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1759", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1759", "url": "https:\/\/hdl.handle.net\/11329\/1759" }, "author": [ { "@type": "Person", "name": "Thomsen, F." }, { "@type": "Person", "name": "Mendes, S." }, { "@type": "Person", "name": "Bertucci, F." }, { "@type": "Person", "name": "Breitzke, M." }, { "@type": "Person", "name": "Ciappi, E." }, { "@type": "Person", "name": "Cresci, A." }, { "@type": "Person", "name": "Debusscher, E." }, { "@type": "Person", "name": "Ducatel, C." }, { "@type": "Person", "name": "Folegot, F." }, { "@type": "Person", "name": "Juretzek, C." }, { "@type": "Person", "name": "Lam, F-P." }, { "@type": "Person", "name": "O\u2019Brien, J." }, { "@type": "Person", "name": "dos Santos, M. E." } ], "contributor": [ { "@type": "Organization", "name": "European Marine Board" } ], "keywords": [ "Noise effects", "Underwater noise", "Marine mammals", "Fish", "Invertebrates", "Human activity", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1169", "name": "Guide to the WMO Integrated Global Observing System. 2019 edition.", "description": " - This is the second edition of the Guide to the WMO Integrated Global Observing System (WMO-No. 1165). The Guide was developed following the decision of the Seventeenth World Meteorological Congress for the WMO Integrated Global Observing System (WIGOS) to proceed to a preoperational phase (2016\u20132019), as well as the approval by the Seventeenth Congress of the Technical Regulations (WMO-No. 49), Volume I, Part I, and the Manual on the WMO Integrated Global Observing System (WMO-No. 1160), with effect from 1 July 2016. In essence, these two publications specify what is to be observed, as well as where, when and how, in order for Members to meet the relevant observational requirements.To complement these activities, the Seventeenth Congress requested the Secretariat of the World Meteorological Organization (WMO) to publish a set of guidelines incorporated in an initial Guide, which would be progressively revised and enhanced through the WIGOS preoperational phase. This was formalized in a decision of the WMO Executive Council at its sixty-seventh session to re-establish the Intercommission Coordination Group on the WMO Integrated Global Observing System (ICG-WIGOS), which has as one of its terms of reference to complement WIGOS regulatory material with the necessary guidance information and technical guidelines incorporated in the Guide to the WMO Integrated Global Observing System (WMO-No. 1165). The first edition of the Guide was approved by the Executive Council at its sixty-ninth session via Resolution 2 (EC-69) \u2013 Initial version of the Guide to the WMO Integrated Global Observing System.The initial Guide aimed to assist Members in complying with a number of new regulations that came into effect on 1 July 2016. It was developed by the Secretariat, in particular the WIGOS Project Office, with input from technical experts of the Inter-Commission Coordination Group on WIGOS (ICG-WIGOS) task teams and the lead technical commissions (Commission for Basic Systems and Commission for Instruments and Methods of Observation) - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1169", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1169", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1169", "url": "https:\/\/hdl.handle.net\/11329\/1169" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "WIGOS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2191", "name": "A status assessment of selected data synthesis products for ocean biogeochemistry,", "description": " - Ocean data synthesis products for specific biogeochemical essential ocean variables have the potential to facilitate today\u2019s biogeochemical ocean data usage and comply with the Findable Accessible Interoperable and Reusable (FAIR) data principles. The products constitute key outputs from the Global Ocean Observation System, laying the observational foundation for information and services regarding climate and environmental status of the ocean. Using the Framework of Ocean Observing (FOO) readiness level concept, we present an evaluation framework for biogeochemical data synthesis products, which enables a systematic assessment of each product\u2019s maturity. A new criteria catalog provides the foundation for assigning scores to the nine FOO readiness levels. As an example, we apply the assessment to four existing biogeochemical essential ocean variables data products. In descending readiness level order these are: The Surface Ocean CO2 Atlas (SOCAT); the Global Ocean Data Analysis Project (GLODAP); the MarinE MethanE and NiTrous Oxide (MEMENTO) data product and the Global Ocean Oxygen Database and ATlas (GO2DAT). Recognizing that the importance of adequate and comprehensive data from the essential ocean variables will grow, we recommend using this assessment framework to guide the biogeochemical data synthesis activities in their development. Moreover, we envision an overarching cross-platform FAIR biogeochemical data management system that sustainably supports the products individually and creates an integrated biogeochemical essential ocean variables data synthesis product; in short a system that provides truly comparable and FAIR data of the entire biogeochemical essential ocean variables spectrum. - , - European Union; EuroSea Project - , - Refereed - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2191", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2191", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2191", "url": "https:\/\/hdl.handle.net\/11329\/2191" }, "author": [ { "@type": "Person", "name": "Lange, N." }, { "@type": "Person", "name": "Tanhua, T." }, { "@type": "Person", "name": "Pfeil, B." }, { "@type": "Person", "name": "Bange, H.W." }, { "@type": "Person", "name": "Lauvset, S.K." }, { "@type": "Person", "name": "Gregoire, M." }, { "@type": "Person", "name": "Bakker, D.C.E." }, { "@type": "Person", "name": "Jones, S.D." }, { "@type": "Person", "name": "Fiedler, B." }, { "@type": "Person", "name": "O\u2019Brien, K.M." }, { "@type": "Person", "name": "K\u00f6rtzinger, A." } ], "keywords": [ "Data synthesis", "Essential Ocean Variables (EOVs)", "FAIRNess measurement", "FOO Readiness level", "GLODAP", "SOCAT", "MEMENTO", "GO2DAT", "Technical readiness level", "Biogeochemical data", "Chemical oceanography", "Biological oceanography", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1486", "name": "Georeferencing best practices. Version 1.0.", "description": " - Georeferencing Best Practices provides guidelines to the best practices for georeferencing. Though targeted specifically at biological occurrence data, the concepts and methods presented here may be just as useful in other disciplines. This publication provides guidelines to the best practice for georeferencing. Though it is targeted specifically at biological occurrence data, the concepts and methods presented here can be applied in other disciplines where spatial interpretation of location is of interest. This document builds on the original Guide to Best Practices for Georeferencing (Chapman & Wieczorek 2006), which was one of the outputs from the BioGeomancer project (Guralnick et al. 2006). Several earlier projects and organizations (e.g. MaNIS, MaPSTeDI, INRAM, GEOLocate, NatureServe, CRIA, ERIN, CONABIO) had previously developed guidelines and tools for georeferencing, and these provided a good starting point for such a document. A detailed history of the organizations involved in the development of BioGeomancer and of the original Guide was given in that source. Throughout this document we reference tools and methodologies developed by those organizations and we acknowledge the valuable work by those organizations in their development. This document attempts to bring best practices up to date with terms, technologies, and georeferencing recommendations that have been developed and refined since the original document was published. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1486", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1486", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1486", "url": "https:\/\/hdl.handle.net\/11329\/1486" }, "author": [ { "@type": "Person", "name": "Chapman, Arthur D." }, { "@type": "Person", "name": "Wieczorek, John R." } ], "contributor": [ { "@type": "Organization", "name": "GBIF Secretariat" } ], "keywords": [ "GBIF", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data analysis", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1094", "name": "OGC Download Service for Earth Observation Products Best Practice. Version 1.0.", "description": " - This OGC\u00ae Best Practices document specifies the interfaces, bindings, requirements, conformance classes for online download of Earth Observation products. This protocol covers several scenarios implemented by European Space Agency - ESA for providing its products to users: -- The EO Product to be downloaded is already available and can be downloaded as it is. -- The EO Product is not online available but is stored in a near online archive. -- The EO Product is advertised in a Catalogue, but it is not physically available and it has to be generated on the fly by a processing facility. -- The EO product is archived in several distributed online archives and it can be downloaded in parallel. The basic scenarios can be simply supported by Web Browsers, the most complex ones need a dedicated client (download manager) supporting Metalink and multisource download. This Best Practice document has been prepared basing on the work performed in the frame of ESA\u2019s Next Generation Earth Observation user services and it was initially produced during the ESA HMA (Heterogeneous Missions Accessibility) initiative [OR1] and related projects. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1094", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1094", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1094", "url": "https:\/\/hdl.handle.net\/11329\/1094" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Download service", "Earth observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2423", "name": "GLODAP Quality Control (QC) procedures: EuroSea Deliverable 4.12.", "description": " - The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort that provides high-quality, quality-controlled ocean biogeochemical bottle data with annual-updates, playing a crucial role in advancing our understanding of the Earth's oceans and their complex biogeochemical processes. This deliverable covers the GLODAP annual updates under the EuroSea funding, as well as the automatization of the quality control process of the data. Under the EuroSea funding, GLODAP has received three updates (GLODAP.v2.2020, GLODAP.v2.2021 and GLODAP.v2.2022) with a total number of 245 cruises added. These updates were possible as a result of the large degree of automatization of the quality control process that ensures the accuracy of the data. The core of the quality control process is the crossover analysis that is currently performed via the 2nd QC Matlab toolbox from Lauvset and Tanhua (2015). However, following Eurosea\u2019s vision of a user-focused, truly interdisciplinary, and responsive European ocean observing and forecasting system, this deliverable aims to migrate from the Matlab toolbox to an online web application based on the open-source software Django and Python. This will allow the user to simply upload the data file to be quality controlled and the web application performs the secondary quality control through the deep water crossover analysis just as in Matlab, and offers similar graphics for visualization. Because the crossover analysis is partially automated on this online tool, the users do not require any programming knowledge in order to quality control their data. In addition, this online tool can be part of a fully automated GLODAP quality control process, without need for manual intervention. However, the current web application version only computes the crossover analysis with respect to the available data that has been previously uploaded. Further work is needed so that every single file in GLODAP does not have to be uploaded manually. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2423", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2423", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2423", "url": "https:\/\/hdl.handle.net\/11329\/2423" }, "author": [ { "@type": "Person", "name": "Davila, Xabier" }, { "@type": "Person", "name": "Bhatt, Bhuwan" }, { "@type": "Person", "name": "Olsen, Are" }, { "@type": "Person", "name": "Lange, Nico" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Biogeochemical bottle data", "Data integration", "Data assimilation", "EuroSea", "Other biological measurements", "Other organic chemical measurements", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1663", "name": "Procedures and Guidelines for global and regional intercomparisons of marine meteorological and oceanographic instruments.", "description": " - Due to the importance of international comparability of measurements, WMO (for marine meteorological instruments) and\/or IOC (for oceanographic instruments), from time to time arranges for international and regional comparisons of instruments. Such intercomparisons or evaluations of instruments and observing systems may be very lengthy and expensive. Rules are therefore been proposed so that coordination will be effective and assured. This document contain general guidelines and should, when necessary, be supplemented by specific working rules for each intercomparison. - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1663", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1663", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1663", "url": "https:\/\/hdl.handle.net\/11329\/1663" }, "author": [ { "@type": "Person", "name": "Gao, Zhanke" }, { "@type": "Person", "name": "Jiang, fan" }, { "@type": "Person", "name": "Yuan, Lingling" }, { "@type": "Person", "name": "Charpentier, Etienne" }, { "@type": "Person", "name": "Jiang Qiu" }, { "@type": "Person", "name": "Sun, Jingli" }, { "@type": "Person", "name": "Chen, Fangfang" }, { "@type": "Person", "name": "Gallage, Champika" } ], "contributor": [ { "@type": "Organization", "name": "National Center of Ocean Standards and Metrology(NCOSM) and World Meteorological Organisation" } ], "keywords": [ "Physical oceanography", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1099", "name": "OGC Sensor Observation Service 2.0 Hydrology Profile. Version 1.0.", "description": " - This OGC document defines an OGC Sensor Observation Service (SOS) 2.0 hydrology profile for SOS 2.0 implementations serving OGC WaterML 2.0. The development of this OGC Best Practice (BP) is based on previous activities and results (i.e. Hydrology Interoperability Experiments[1] as well as the European FP7 project GEOWOW[2]). The work is guided by the need to overcome semantic issues between different SOS instances serving hydrological data and the related client applications. Therefore, this profile focuses on how to use the entities and requests of the standards and defines the necessary technical details to implement the hydrology SOS profile. - , - Published - , - This document defines an OGC Best Practices on a particular technology or approach related to an OGC standard. This document is not an OGC Standard and may not be referred to as an OGC Standard. It is subject to change without notice. However, this document is an official position of the OGC membership on this particular technology topic. - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1099", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1099", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1099", "url": "https:\/\/hdl.handle.net\/11329\/1099" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Sensor Observation Service" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1531.4", "name": "LabSTAF and RunSTAF Handbook 2408-014-HB Issue F.", "description": " - This introductory section provides a brief overview of the development of LabSTAF and RunSTAF and future aims for the development of Single Turnover Active Fluorometry (STAF). It also includes a description of the major differences between LabSTAF and the previous generation of active fluorometers. A comprehensive overview of the acronyms and terms used within this document is provided within Glossary of terms. 1.1 The STAFES-APP and TechOceanS projects LabSTAF is the first of a new generation of research-grade active fluorometers developed by Chelsea Technologies Ltd (CTL) in collaboration with The University of Southampton (UoS) and the National Oceanographic Centre, Southampton (NOCS) as part of the STAFES-APP project within the NERC-funded OCEANIDS programme (NE\/P020844\/1). Additional, ongoing funding for STAF development is being provided through the EU-funded Technologies for Ocean Sensing (TechOceanS) programme (Technologies for Ocean Sensing | TechOceanS Project | H2020 | CORDIS | European Commission (europa.eu)). The STAFES-APP acronym expands to Single Turnover Active Fluorometry of Enclosed Samples \u2013 for Autonomous Phytoplankton Productivity. The overall aim of the project was to develop highly sensitive benchtop and deployable systems that can be used to improve our understanding of the global carbon cycle and aquatic ecosystem function. Primary productivity by phytoplankton (PhytoPP) accounts for approximately half of the carbon fixed by photosynthesis on a planetary scale. It follows that measurement of PhytoPP on wide spatial and temporal scales has enormous potential for developing our understanding of ocean productivity and improving climate change models. Arguably the most important way in which this target can be achieved is through the validation and development of satellite remote sensing, which operates on the widest possible spatial scales, but which currently includes large errors for the estimation of PhytoPP. Historically, validation of remote sensing algorithms for the estimation of PhytoPP has relied on data from 14C tracer-based methods, including photosynthetron-based measurement of 14C-fixation as a function of incident light (Geider and Osborne, 1992; Sakshaug et al. 1997). Because this method cannot be applied on meaningful spatial or temporal scales, there is currently extreme undersampling of the oceanic environment for PhytoPP at acceptable levels of accuracy (e.g., Lee et al. 2015). A key target for the STAFES-APP project was to develop new, STAF-based methods for the assessment of PhytoPP that can be used on much wider spatial and temporal scales than 14C-fixation, at comparable levels of accuracy and precision. - , - Published - , - Refereed - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1531.4", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1531.4", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1531.4", "url": "https:\/\/hdl.handle.net\/11329\/1531.4" }, "author": [ { "@type": "Person", "name": "Oxborough, Kevin" } ], "contributor": [ { "@type": "Organization", "name": "Chelsea Technologies Ltd." } ], "keywords": [ "Phytoplankton", "Primary productivity", "Fluorometer", "Fluorometry", "Phytoplankton", "Instrument Type Vocabulary::fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/887", "name": "Drifter deployment instructions: SVP and SVP-Barometer Drifters. [Version 8].", "description": " - Drifter deployment instructions: SVP and SVP-Barometer Drifters. 1) Before deployment, remove ONLY the plastic shrink-wrap. 2) DO NOT REMOVE the paper tape securing the drogue and\/or tether. Likewise, DO NOT REMOVE the cardboard surrounding the float ... - , - Published - , - No date of issue is on the document. deployment instructions in different languages: Deployment instructions in English (pdf) Deployment instructions in Spanish (Espanol) (pdf) Deployment instructions in French (Francais) (pdf) Deployment instructions in Korean (pdf) Deployment instructions in Chinese (pdf) Deployment instructions in Portuguese (pdf) - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/887", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/887", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/887", "url": "https:\/\/hdl.handle.net\/11329\/887" }, "author": [ { "@type": "Person", "name": "Dolk, Shaun" } ], "contributor": [ { "@type": "Organization", "name": "Global Drifter Program, NOAA\/AOML\/PhOD" } ], "keywords": [ "Drifting buoy", "Drifter", "Field deployment", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/839", "name": "Quality Control, Quality Assurance, and Quality Flags [Presentation at QARTOD III, 2-4 November 2005].", "description": " - The distinction between quality control and quality assurance is presented, with activity examples of each listed. A review of data flagging recommendations is provided, from the first QARTOD workshop and from three breakout groups during the second QARTOD workshops. To foster discussions towards identifying a standard, existing U.S. and international program-specific data flagging schemes are reviewed. - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/839", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/839", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/839", "url": "https:\/\/hdl.handle.net\/11329\/839" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" } ], "contributor": [ { "@type": "Organization", "name": "NOAA\/NOS\/CO-OPS" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1529", "name": "Uk\u0142ad nadzoruj\u0105cy ustr\u00f3j instrumentu pomiarowego i zabezpieczaj\u0105cy go przed wp\u0142ywem niepo\u017c\u0105danej wilgoci. [The system for monitoring and protecting the measuring instrument from the influence of unwanted moisture.]", "description": " - An object of the invention is a system for supervising a measuring instrument system and protecting it from the influence of unwanted moisture. It is especially useful during continuous pCO2\/CH4 measurements using the full equilibration method, combined analyzers working in a vacuum. Before this invention to detect water that may accidentally enter the analyzer, usually, two electrodes were used and the closed-circuit signalised the entering of liquid water. Our device uses an electric field for detection and signalises not only the presence of water in the liquid phase but also the excess of unfavourable water in the gas phase. Our protection system also does not suddenly turning off the analyzer after detecting water but allows the analyzer to keep on working but in safe conditions. - , - Published - , - Refereed - , - Current - , - 14.A - , - Inorganic carbon - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1529", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1529", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1529", "url": "https:\/\/hdl.handle.net\/11329\/1529" }, "author": [ { "@type": "Person", "name": "Stokowski, Marcin" }, { "@type": "Person", "name": "Wejer, Jan" }, { "@type": "Person", "name": "Kuli\u0144ski, Karol" } ], "contributor": [ { "@type": "Organization", "name": "The Patent Office of the Republic of Poland" } ], "keywords": [ "pCO2", "Carbon dioxide", "Sensors", "Methane", "CH4", "Moisture protection", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::cavity ring-down spectroscopes", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1497", "name": "Ethical guidelines for the documentation of \u00e1rbediehtu, Sami traditional knowledge.", "description": " - Documentation of the traditional knowledge of indigenous peoples is becoming increasingly common; one reason for this is that such knowledge is becoming ever weaker and even in some cases disappearing. This is partly due to the increasing influence of Western ways of life on indigenous communities and the passing away of the older generation, taking with them a great deal of the knowledge. Indigenous peoples themselves are today often in the forefront in demanding that traditional knowledge be collected, preserved and passed on to the younger generations, and the indigenous peoples also want to be primarily responsible for such work (Burgess 1999). Traditional knowledge ranges from the limited traditions of specific families or areas to the more comprehensive traditions which the Sami people have in common, regardless of district affiliation. A Sami tradition can be very local in character and thus only apply to a small geographic area. Other Sami may not be familiar with the tradition, because they come from a locality where different customs developed (Gaup 2008). A myriad of different traditions is an expression of cultural wealth, and is also a reflection of how knowledge is adapted to the distinct ecological niches or environments found in S\u00e1pmi (Samiland). The aim of the present article is an attempt to create guidelines for how \u00e1rbediehtu (Sami traditional knowledge) should be documented without exploiting the culture. The article must therefore be regarded as a contribution to an ongoing discussion. - , - Published - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1497", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1497", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1497", "url": "https:\/\/hdl.handle.net\/11329\/1497" }, "author": [ { "@type": "Person", "name": "Jonsson, Asa Nordin" } ], "contributor": [ { "@type": "Organization", "name": "S\u00e1mi allaskuvla \/ S\u00e1mi University College" } ], "keywords": [ "Indigenous knowledge", "Traditional knowledge", "Ethics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2078.2", "name": "Data Standard; core data fields and vocabulary guidance; Version 2.1.", "description": " - The Joint Cetacean Data Programme (JCDP) is a platform for collation, storage and access of cetacean data collected at-sea via ship-based or aerial observer\/digital methodologies. It is a growing resource, aiming to enable best use of all available data of comparable types from which to carry out analyses at relevant spatial and temporal scales to inform cetacean research, management, policy and conservation. One of the key objectives of the JCDP is to work with data providers to synthesise the way in which data are collected and stored, to support collation of data into a central JCDP database. The JCDP Steering Group have agreed on a data standard to enable efficient submission of datasets to the JCDP. This document outlines that standard and data providers will need to work towards achieving the standard in order to result in compatible data with the JCDP. - , - The Joint Cetacean Data Programme was developed between 2019 and 2022, funded by the Department of Environment, Food and Rural Affairs (Defra). The project was managed by JNCC with development and hosting of the Data Portal by ICES. - , - Published - , - Refereed - , - Current - , - 14.5 - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Sea state - , - Mature - , - Multi-organisational - , - International - , - Species distributions - , - Species abundances - , - Precipitation - , - Sea state - , - Swell - , - Behaviour - , - Cloud cover - , - Observer or digital imagery - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2078.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2078.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2078.2", "url": "https:\/\/hdl.handle.net\/11329\/2078.2" }, "contributor": [ { "@type": "Organization", "name": "Joint Nature Conservation Committee (JNCC)" } ], "keywords": [ "Environment", "Fisheries and aquaculture", "Birds, mammals and reptiles", "observers", "cameras", "Controlled vocabulary development", "Data exchange", "Data quality management", "Data archival\/stewardship\/curation", "Data format development", "Data search and retrieval", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/325", "name": "A rapid method to analyze meiofaunal assemblages using an Imaging Flow Cytometer. Version 1, 01 May 2017.", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/325", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/325", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/325", "url": "https:\/\/hdl.handle.net\/11329\/325" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Meiofauna", "Taxonomic identification", "Sampling", "Sample analysis", "Imaging flow cytometer", "Image analysis", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::flow cytometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/276", "name": "Marine Planning Portal Network [Webpage]", "description": " - As systems become more distributed and technology continues to evolve, the need to share information (lessons-learned, best practices, technical specifications) and provide a venue for open dialogue is paramount. The Network, through a combination of a listserv, webinar series, and informational resources, was created in response to the input received during the Regional Data Management and Portal Design Workshop held in June, 2012 in Charleston, SC and will serve as one of the main conduits for communication between state, regional, and national portals, applications, and planning efforts. - , - U.S. Government Open Data data.gov - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/276", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/276", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/276", "url": "https:\/\/hdl.handle.net\/11329\/276" }, "keywords": [ "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1193", "name": "Unified Geomorphological Analysis Workflows with Benthic Terrain Modeler.", "description": " - High resolution remotely sensed bathymetric data is rapidly increasing in volume, but analyzing this data requires a mastery of a complex toolchain of disparate software, including computing derived measurements of the environment. Bathymetric gradients play a fundamental role in energy transport through the seascape. Benthic Terrain Modeler (BTM) uses bathymetric data to enable simple characterization of benthic biotic communities and geologic types, and produces a collection of key geomorphological variables known to affect marine ecosystems and processes. BTM has received continual improvements since its 2008 release; here we describe the tools and morphometrics BTM can produce, the research context which this enables, and we conclude with an example application using data from a protected reef in St. Croix, US Virgin Islands. - , - Part of Special Issue of \"Marine Geomorphometry\" - http:\/\/www.mdpi.com\/journal\/geosciences\/special_issues\/marine_geomorphometry - , - Refereed - , - 14.a - , - Hard Coral Cover and Composition - , - Fish Abundance and Distribution - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1193", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1193", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1193", "url": "https:\/\/hdl.handle.net\/11329\/1193" }, "author": [ { "@type": "Person", "name": "Walbridge, Shaun" }, { "@type": "Person", "name": "Slocum, Noah" }, { "@type": "Person", "name": "Pobuda, Marjean" }, { "@type": "Person", "name": "Wright, Dawn" } ], "keywords": [ "Benthic habitat mapping", "Terrain analysis", "Surface roughness", "Bathymetry", "Geomorphology", "Benthic Terrain Modeler (BTM)", "Python", "ArcGIS", "Parameter Discipline::Marine geology::Sonar and seismics", "Parameter Discipline::Marine geology::Underwater photography", "Parameter Discipline::Marine geology::Rock and sediment physical properties", "Parameter Discipline::Marine geology", "Parameter Discipline::Fisheries and aquaculture::Habitat", "Data Management Practices::Data analysis", "Data Management Practices::Data visualization", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/566", "name": "Implementation of Procedures for Computation of Tidal Datums in Areas with Anomalous Trends in Relative Mean Sea Level.", "description": " - NOAA has typically updated tidal datum elevations for the nation to new National Tidal Datum Epoch (NTDE) time periods every 20-25 years. Updates at this frequency are necessary due to long-term global sea level change. In 1998, NOS recognized the need for a modified procedure that utilized more frequent time period updates, for determination of tidal datums for regions with anomalously high rates of local relative sea level change. These localized effects in relative sea level trends are typically due to different forces other than those responsible for global trends which can vary significantly from global trends in both time scales and magnitude. This modified procedure is necessary at selected stations to ensure that the tidal datums accurately represent the existing stand of sea level relative to land on which these datums are held fixed. Bench mark monuments are typically used as reference points for numerous applications requiring tidal datum references. The modified procedure is limited only to those stations with documented anomalous relative sea level trends due to high rates of vertical land motion. Anomalous relative sea level trends are seen along the central Louisiana, the southern Cook Inlet, and the southeastern Alaska coasts. For example, the magnitude of the sea level trends in these areas are +9.24 mm\/yr at Grand Isle, LA; - 9.45 mm\/yr at Seldovia, AK; and -12.92 mm\/yr at Juneau, AK. Following the first implementation of the modified procedure in 1998, using the time series for tidal datum computation of 1990-1994, s ea level analyses in these anomalous regions are now conducted approximately every five (5) years to identify stations that require datum updates using the modified procedure. NOAA\u2019s mission is to provide the latest up-to-date tidal datum information available for applications that are essential to supporting Federal, State and private sector coastal zone activities. These include activities such as hydrographic surveying, coastal mapping, and the resulting nautical charts, general navigational safety, wetland restoration, marine boundary determinations, coastal engineering, storm warnings and hazard mitigation, emergency management, and multi-use hydrodynamic modeling. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/566", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/566", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/566", "url": "https:\/\/hdl.handle.net\/11329\/566" }, "author": [ { "@type": "Person", "name": "Gill, S" }, { "@type": "Person", "name": "Hovis, G" }, { "@type": "Person", "name": "Kriner, K" }, { "@type": "Person", "name": "Michalski, M" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Sea level changes", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1882", "name": "Identification of maritime spatial planning best practices in the Baltic Sea Region and other European Union maritime regions.", "description": " - This report identifies good practices in implementation of the Baltic Sea Broad-scale Maritime Spatial Planning Principles jointly developed by VASAB and HELCOM. in 2010. The main aim of this exercise is to support planning process in the Bothnian Sea and share experience on maritime spatial planning (MSP) among the VASAB and HELCOM stakeholders and other relevant actors. The first part of the report is devoted to presentation of the most important planning activities in the Baltic Sea Region covering marine waters. The following plans draft plans and planning projects have been analysed: Pilot maritime spatial plan for the Southern Middle Bank, Pilot maritime spatial plan for Western part of the Gulf of Gda\u0144sk, Pilot maritime spatial plan for the Western coast of Latvia and the adjacent waters, Spatial plan for the German EEZ of the Baltic Sea, Spatial Development programme of Mecklenburg-Vorpommern, Pilot Project Pomeranian Bight \/ Arkona Basin, Pilot maritime spatial plans for the Western coast of Hiiumaa and Saaremaa and P\u00e4rnu Bay, The regional spatial plan for the Kymenlaakso region in Finland. Swedish experience in maritime spatial planning has not been described so far due to lack of relevant materials in English. In addition to that also the most important maritime planning efforts outside the Baltic Sea Region have been included as a benchmark such as: Integrated Management Plan of the Marine Environment of the Barents Sea and the Sea Areas off the Lofoten Islands, Maritime Spatial Planning in the Netherlands and the UK Marine Policy Statement. In the second part of the report the aforementioned plans and planning projects have been screened with regard to their complacency with the VASAB-HELCOM principles. On those basis a long list of good practices have been developed. Out of those good practices the most important ones for enhancement of cross border maritime spatial planning have been chosen and described in detail in the third part of the report. Those good practices concern the following themes: stakeholder participation, preparation of the SEA reports for maritime spatial plans, preparation of plans under high level of uncertainty (insufficient information), handling and coordination of MSP data flows at the level of Baltic Sea Region, elaboration and use of the basin vide vision for marine waters development, and finally launching and running of the conscious research programmes in support of the MSP. - , - EU; European Union - , - Published - , - Current - , - 14.2 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1882", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1882", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1882", "url": "https:\/\/hdl.handle.net\/11329\/1882" }, "author": [ { "@type": "Person", "name": "Zaucha, Jacek" }, { "@type": "Person", "name": "Matczak, Magdalena" } ], "contributor": [ { "@type": "Organization", "name": "Maritime Institute in Gda\u0144sk" } ], "keywords": [ "Marine spatial planning", "MSP", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1985", "name": "How to join LifeWatch ERIC [e-Science Biodiversity & Ecosystem European Research Infrastructure].", "description": " - Research Infrastructures are facilities, resources and services that are used by research communities to conduct research and foster innovation in their fields. They include: major scientific equipment (or sets of instruments), knowledge-based resources such as collections, archives and scientific data, e-Infrastructures, such as data and computing systems and communication networks, and any other tools that are essential to achieve excellence in research and innovation. The European Research Infrastructure Consortium (ERIC) is a specific legal form that facilitates the establishment and operation of Research Infrastructures with European interest. Advantages: > A legal capacity recognised in all EU countries; > Flexibility to adapt to specific requirements of each infrastructure; > A faster process than creating an international organisation; > Exemptions from VAT and excise duty - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1985", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1985", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1985", "url": "https:\/\/hdl.handle.net\/11329\/1985" }, "contributor": [ { "@type": "Organization", "name": "LifeWatch ERIC" } ], "keywords": [ "Research infrastructures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2586", "name": "Practical Best Practices for Ocean Acidification Monitoring. Version 1.1.", "description": " - Welcome to the Practical Best Practices guide for conducting ocean acidification research with the Global Ocean Acidification Observing Network (GOA-ON) in a Box kit. This kit is a set of sampling and analysis equipment that contains nearly all materials required to obtain \u201cweather-quality\u201d measurements at a fraction of the price of costly conventional monitoring and analysis systems. This guide is centered around using components of the kit, which is comprised of sensors to collect in situ measurements, Van Essen\u2019s CTD-Diver and Sunburst Sensor\u2019s iSAMI-pH, and lab equipment to measure total alkalinity and spectrophotometric pH from discrete water samples. A full list of kit components, suppliers, and U.S. pricing is maintained and periodically updated in this spreadsheet. Yet, many sections will be of general use, such as those on lab management, sample collection, and data management, and some of the practices described for parameter measurements may be applied to other instrument setups.\u00a0 - , - Coordination support for this work has been provided by The Ocean Foundation, the IAEA Ocean Acidification International Coordination Centre (OA-ICC), and the NOAA Ocean Acidification Program. In-person coordinating meetings in 2019 and 2024 have been funded by the IAEA OA-ICC. The Ocean Foundation\u2019s coordination and editing time has been supported by the Government of Sweden and an anonymous grantor. - , - Published - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Dissolved organic carbon - , - Mature - , - Multi-organisational - , - International - , - Total alkalinity - , - Partial pressure of carbon dioxide - , - pH - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2586", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2586", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2586", "url": "https:\/\/hdl.handle.net\/11329\/2586" }, "contributor": [ { "@type": "Organization", "name": "GOA-ON: Global Ocean Acidification Observing Network" } ], "keywords": [ "pH", "Total alkalinity,", "Partial pressure of carbon dioxide (pCO2)", "Ocean acidification", "Monitoring", "GOA-ON: Global Ocean Acidification Observing Network", "Chemical oceanography", "Data acquisition", "Data aggregation", "Data archival\/stewardship\/curation", "Data analysis", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1705", "name": "Standards and practices for reporting plankton and other particle observations from images. Technical Manual.", "description": " - This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName\/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA\u2019s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation\u2019s Biological and Chemical Oceanography Data Management Office (BCO-DMO). - , - NSF (OCE-1558412); NASA (NNX17AB17G). - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1705", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1705", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1705", "url": "https:\/\/hdl.handle.net\/11329\/1705" }, "author": [ { "@type": "Person", "name": "Neeley, A." }, { "@type": "Person", "name": "Beaulieu, S." }, { "@type": "Person", "name": "Proctor, C." }, { "@type": "Person", "name": "Cetini\u0107, I." }, { "@type": "Person", "name": "Futrelle, J." }, { "@type": "Person", "name": "Soto Ramos, I." }, { "@type": "Person", "name": "Sosik, H." }, { "@type": "Person", "name": "Devred, E." }, { "@type": "Person", "name": "Karp-Boss, L." }, { "@type": "Person", "name": "Picheral, M." }, { "@type": "Person", "name": "Poulton, N." }, { "@type": "Person", "name": "Roesler, C." }, { "@type": "Person", "name": "Shepherd, A." } ], "contributor": [ { "@type": "Organization", "name": "Ocean Carbon & Biogeochemistry Project" } ], "keywords": [ "OBIS", "Data table creation", "Image data", "Zooplankton", "Phytoplankton", "Administration and dimensions", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2585.2", "name": "BIOPOLE Cookbook: parameters and analysis, Version 8.", "description": " - The aim of this document is to detail the key determinands, sampling preparation, methodology and analyses required for the NERC programme BIOPOLE, with the overall objective of maintaining consistency in different sampling locations and between different Research Institutes. This document builds on the work carried out in the NERC programme LOCATE, with thanks to Jenny Williamson, Dan Mayor, Adrian Martin, Mark Stinchcombe & the whole LOCATE Team. - , - Natural Environment Research Council - , - Published - , - Refereed - , - Current - , - 14.a - , - Oxygen - , - Nutrients - , - Particulate matter - , - Dissolved organic carbon - , - Mature - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2585.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2585.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2585.2", "url": "https:\/\/hdl.handle.net\/11329\/2585.2" }, "author": [ { "@type": "Person", "name": "Hendry, Katharine R." }, { "@type": "Person", "name": "Manno, Clara" }, { "@type": "Person", "name": "Arrowsmith, Carol" }, { "@type": "Person", "name": "Bowes, Mike" }, { "@type": "Person", "name": "Callaghan, Nathan" }, { "@type": "Person", "name": "Grant, Alanna" }, { "@type": "Person", "name": "Lofts, Stephen" }, { "@type": "Person", "name": "McKenzie, Rebecca" }, { "@type": "Person", "name": "O'Brien, Alexandra" }, { "@type": "Person", "name": "Olszewska, Justyna" }, { "@type": "Person", "name": "Pickard, Amy" }, { "@type": "Person", "name": "Spears, Bryan" }, { "@type": "Person", "name": "Tye, Andrew" }, { "@type": "Person", "name": "Woodward, E. Malcolm S." } ], "contributor": [ { "@type": "Organization", "name": "BIOPOLE Programme, UKRI NERC" } ], "keywords": [ "BIOPOLE Programme", "Sampling", "Sample preparation", "Biological oceanography", "Chemical oceanography", "Physical oceanography", "Terrestrial", "Data acquisition", "Data analysis", "Data archival\/stewardship\/curation", "Data citation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2085", "name": "Good practices at FAO: Experience capitalization for continuous learning.", "description": " - For an organization to progress and adapt to change, it must become a learning organization which draws lessons from its experiences in order to identify and understand good practices. These good practices will improve the way the organization works. They can be applied to specific contexts, institutionalized, shared and replicated at different levels: from local to international. However, if no action is taken to analyse, capitalize and share the knowledge gained in programmes and projects, institutional memory will not be transmitted, the same mistakes will be repeated, the success of our experiences will not be known and opportunities for improved practices will be lost, thereby preventing the sharing of good practices. An organization can turn knowledge into action through knowledge sharing and capitalization of experiences. This concept note is a short introduction to the process of documenting and capitalizing on experiences and good practices. - , - Published - , - Current - , - Mature - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2085", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2085", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2085", "url": "https:\/\/hdl.handle.net\/11329\/2085" }, "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Good practices", "Best practices", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1583", "name": "OceanExpert: directory of marine and freshwater professionals and events including training courses..", "description": " - The OceanExpert system, formerly known as Global Directory of Marine (and Freshwater) Professionals, is a database containing information on individuals active on issues related to the marine (and freshwater environment). OceanExpert was developed in 1997 under the auspices of the IODE Group of Experts on Marine Information Management (GE-MIM). OceanExpert is a free product but can be used only for non-profit purposes. As an individual professional you are welcome to add your information to the database. If you would like to collaborate with the OceanExpert project by coordinating input for your institution or country then please contact us. In order to improve global coverage of the database we are constantly looking for national or regional input coordinators. (1) OceanExpert contains detailed information on individual experts. (2) OceanExpert contains also detailed information on institutions, including address, subjects covered etc. (3) OceanExpert also contains detailed information on IODE events. This includes: Type of event: conference, training, internship, meeting, workshop. - , - 14.a - , - N\/A - , - International - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1583", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1583", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1583", "url": "https:\/\/hdl.handle.net\/11329\/1583" }, "keywords": [ "Experts", "Training Course", "DS06" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/693", "name": "Temporal trend monitoring: Introduction to the study of contaminant levels in marine biota.", "description": " - The study of contaminants in marine species, sediments, and sea water has been of interest to the International Council for the Exploration of the Sea (ICES) since the early 1970s. The investigation of temporal trends (changes over time in one area) in contaminant levels in fish and shellfish, both as monitors of their environment and from a human health concern, and in sediments and sea water is 3 topic currently being addressed by the ICES Working Group on the Statistical Aspects of Trend Monitoring (WGSATM). In this connection, the following two points should be noted: a) The design of a monitoring programme is a scientific effort, in which expertise in the fields of biology, environmental and analytical chemistry, statistics, and hydrography must be combined, utilizing specific information on the area to be monitored. It is not possible to give a simple blueprint for the design of these prograntrnes. Rather, each study must be specifically designed within the general strategies and guidelines such as those provided by the ICES Advisory Committee on Marine Pollution (ACMP) (ICES, 1989a,b). b) The objectives of the monitoring programme have to be defined qualitatively and quantitatively. Statistical model calculations based upon real estimates of the overall variance are a prerequisite to programme design, to give insight into the resolving power of the approach. In most cases, conduct of a \"pilot project\" will be necessary during the design of a programme. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/693", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/693", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/693", "url": "https:\/\/hdl.handle.net\/11329\/693" }, "author": [ { "@type": "Person", "name": "Uthe, J. F." }, { "@type": "Person", "name": "Chou, C. L." }, { "@type": "Person", "name": "Misra, R. K." }, { "@type": "Person", "name": "Yeats, P. A." }, { "@type": "Person", "name": "Loring, D. H." }, { "@type": "Person", "name": "Musial, C. J." }, { "@type": "Person", "name": "Cofino, W." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/589", "name": "Guidelines for establishing GPS-derived ellipsoid heights [Standards: 2 cm and 5 cm]. Version 4.3.", "description": " - The following guidelines were developed by the National Geodetic Survey (NGS) for performing Global Positioning System (GPS) surveys that are intended to achieve ellipsoid height network accuracies of 5 cm at the 95 percent confidence level, as well as ellipsoid height local accuracies of 2 cm and 5 cm, also at the 95 percent confidence level. See Appendix A for information about local and relative accuracies. These guidelines were developed in a partnership with Federal, state, and local government agencies, academia, and private surveyors and are the result of processing various test data sets and having extensive discussions with various GPS users groups. We are confident that these guidelines, if followed, will result in achieving the intended accuracy. Additional tests may show that some of these guidelines can be relaxed. These guidelines are intended for establishing geometric vertical control networks. These guidelines will be expanded in the future to include the establishment of GPS-derived orthometric heights that approach these same accuracies, 2 cm and 5 cm. The slight differences between the accuracies of GPS-derived ellipsoid heights and GPS-derived orthometric heights will be generally due to the accuracy of the geoid model and published orthometric heights used to evaluate the differences between the three height systems, i.e., ellipsoid, geoid, and orthometric heights. Note: these guidelines assume that for the survey project area in question, NGS has completed the establishment of a high accuracy reference network at 100-kilometer spacing or that a state-wide High Accuracy Reference Network (HARN) has been established, i.e., there are A- or B-order stations distributed throughout the state at an approximate spacing of 50 km or else there are Federal HARN stations or GPS Continuously Operating Reference Station (CORS) sites located within 75 km of the project area. An effort should be made to connect to stations which were previously determined using these guidelines (or equivalent). Introduction: - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/589", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/589", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/589", "url": "https:\/\/hdl.handle.net\/11329\/589" }, "author": [ { "@type": "Person", "name": "Zilkoski, David B." }, { "@type": "Person", "name": "D'Onofrio, Joseph D." }, { "@type": "Person", "name": "Frakes, Stephen J." } ], "contributor": [ { "@type": "Organization", "name": "NOAA NOS Center For Operational Oceanographic Products and Services Products and Services" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2149", "name": "Integrated report on design of innovative coastal structures and best practices for coastal defence. Results from numerical, experimental and prototype testing. THESEUS Deliverable OD2.7.", "description": " - General aim of WP2 was the development of innovative \u201cclimate proof\u201d defence methods for mitigation of coastal flooding and erosion hazards in the context of increasing storminess and sea level rise (scenarios defined by WP 1). More specific objectives were \uf0b7 to estimate wave reduction at the shoreline induced by barriers for wave energy conversion, \uf0b7 to quantify wave dissipation and related morphological effects induced by multi\u2010purpose lowimpact structures such as artificial reefs and bottom vegetation, to analyse performance of different cover layers for overtopping resistant dikes, to improve management of sediment stocks, knowledge of the impact of sandy borrow areas, technologies for nourishment and dredging, in the perspective of optimised beach maintenance plans. This report presents a synthesis of the prototype observations, physical and numerical modelling performed within WP 2 by all the partners. - , - European Union THESEUS Project Grant Agreement No. 244104 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2149", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2149", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2149", "url": "https:\/\/hdl.handle.net\/11329\/2149" }, "contributor": [ { "@type": "Organization", "name": "Italy" } ], "keywords": [ "Coastal zone management", "Coastal structures", "Coastal defences", "Construction and structures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1007", "name": "OGC OWS Context GeoJSON Encoding Standard. Version 1.0.", "description": " - This standard describes the GeoJSON encoding of the OGC Web Services (OWS) Context conceptual model. This standard defines how to encode an OWS context document that 1.) can be extended to allow a context referencing a fully configured service set, and 2.) can be defined and consistently interpreted by clients. The OWS Context Document standard (OWS Context) was created to allow a set of configured information resources to be passed between applications primarily as a collection of services (but also potentially in-line content). The objective is to support use cases such as the distribution of search results, the exchange of a set of resources in a Common Operating Picture (COP), or delivery of a set of configured processing services to allow the processing to be reproduced on different processing nodes. The goal for OWS Context is to replace previous OGC standards and best practices that provide similar capability. Web Map Context (WMC) has been reasonably successful but is limited to working with only Web Map Service (WMS) instances. Other work on the Location Organizer Folder1 (LOF) was also taken into consideration. The concept of OWS Context and the first prototype document was produced as part of OWS Testbed 7 and documented in [OGC10-035r1], Information Sharing Engineering Report. A principal goal of the OWS Context SWG was to develop encodings that would appeal for use in mass market applications yet also provide facilities for more advanced uses. OWS-7 originally considered the application of existing encoding standards for OWS Context. The OGC Standards Working Group (SWG) has concluded that this standard can have multiple encoding formats and that each encoding format will be described in a separate OGC Extension to the Core model. An additional goal is that transformations of context documents between the different encodings should be lossless. GeoJSON2 is a format for encoding collections of simple geographical features along with their non-spatial attributes using JSON. GeoJSON objects may represent a geometry, a feature, or a collection of features. GeoJSON supports the following geometry types: Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection. Features in GeoJSON contain a geometry object and additional properties, and a feature collection represents a list of features. This document concentrates on the GeoJSON encoding of the OWS Context Model as described in abstract terms in OGC 12-080r2 OGC OWS Context Conceptual Model ( OGC 12-080r2). The goal of OWS Context is to allow many types of OGC data delivery services to be referenced and therefore exploited - not just OGC Web Map Service butother OGC web services and content specifications, including but not limited to Web Feature Service, Web Coverage Service, Web Processing Service, GML, GeoTIFF and KML. This document does not explicitly define the encoding of these services and data encodings in the core, only the general approach to be used for different types of service and data interface. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1007", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1007", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1007", "url": "https:\/\/hdl.handle.net\/11329\/1007" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1430", "name": "Avalanche warning in Svalbard.", "description": " - Svalbard has an extensive avalanche problem and seven people died in avalanches from 2000 to 2018. To mitigate the problem, the Norwegian Avalanche Warning Service included public avalanche warnings for Svalbard on Varsom.no in February 2016. To assist evacuations by local authorities, local warnings for Longyearbyen were started as a temporary measure days after the fatal accident in December 2015, when an avalanche hit ten buildings. This report presents the methods, organisation, and results associated with establishing the two avalanche warning services on Svalbard. We discuss lessons learned in terms of collaboration, risk management, specific challenges in the Arctic, due to climate changes and the event of an avalanche hitting two buildings in February 2017. - , - Published - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1430", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1430", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1430", "url": "https:\/\/hdl.handle.net\/11329\/1430" }, "author": [ { "@type": "Person", "name": "Engeset, Rune V." }, { "@type": "Person", "name": "Landr\u00f8, Markus" }, { "@type": "Person", "name": "Indreiten, Martin" }, { "@type": "Person", "name": "M\u00fcller, Karsten" }, { "@type": "Person", "name": "Mikkelsen, Odd A." }, { "@type": "Person", "name": "Hoseth, Knut I. A." } ], "contributor": [ { "@type": "Organization", "name": "Norwegian Water Resources and Energy Directorate" } ], "keywords": [ "Avalanche warning", "Risk management", "Climate change", "Varsom", "Parameter Discipline::Terrestrial::Terrestrial" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2237", "name": "On the Benefit of Current and Future ALPS Data for Improving Arctic Coupled Ocean-Sea Ice State Estimation.", "description": " - Autonomous and Lagrangian platforms and sensors (ALPS) have revolutionized the way the subsurface ocean is observed. The synergy between ALPS-based observations and coupled ocean-sea ice state and parameter estimation as practiced in the Arctic Subpolar gyre sTate Estimate (ASTE) project is illustrated through several examples. In the western Arctic, Ice-Tethered Profilers have been providing important hydrographic constraints of the water column down to 800 m depth since 2004. ASTE takes advantage of these detailed constraints to infer vertical profiles of diapycnal mixing rates in the central Canada Basin. The state estimation framework is also used to explore the potential utility of Argo-type floats in regions with sparse data coverage, such as the eastern Arctic and the seasonal ice zones. Finally, the framework is applied to identify potential deployment sites that optimize the impact of float measurements on bulk oceanographic quantities of interest. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - ALPS-type sensors - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2237", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2237", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2237", "url": "https:\/\/hdl.handle.net\/11329\/2237" }, "author": [ { "@type": "Person", "name": "Nguyen, An T." }, { "@type": "Person", "name": "Ocana, Victor" }, { "@type": "Person", "name": "Garg, Vikram" }, { "@type": "Person", "name": "Heimbach, Patrick" }, { "@type": "Person", "name": "Toole, John M." }, { "@type": "Person", "name": "Krishfield, Richard A." }, { "@type": "Person", "name": "Lee, Craig M." }, { "@type": "Person", "name": "Rainville, Luc" } ], "keywords": [ "ECCO framework", "Observing system simulation experiments (OSSEs)", "Other physical oceanographic measurements", "Cryosphere", "Data acquisition", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1089", "name": "Drifting buoys DAC data quality control manual, Version 1.0.", "description": " - This document is the Drifter quality control manual. It is derived from Argo floats quality control on trajectories (http:\/\/dx.doi.org\/10.13155\/33951). Changes from the previous version of the manual are highlighted in yellow. The Drifter data system has three levels of quality control. * The first level is the real-time system that performs a set of agreed automatic checks on all drifter measurements. Real-time data with assigned quality flags are available to users within the 24-48 hrs timeframe. * The second level of quality control is the delayed-mode system. * The third level of quality control is regional scientific analyses of all drifter data with other available data. The procedures for regional analyses are still to be determined. This document contains the description of the Drifter real-time and delayed-mode procedures. - , - Published - , - Contributors: Carval Thierry, Poli Paul - , - Current - , - 14 - , - Sea surface temperature - , - Subsurface temperature - , - Surface currents - , - Subsurface currents - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1089", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1089", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1089", "url": "https:\/\/hdl.handle.net\/11329\/1089" }, "contributor": [ { "@type": "Organization", "name": "Ifremer\/Seanoe" } ], "keywords": [ "Air temperature", "Atmospheric pressure", "Drifting buoy", "DBCP", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Environment", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2206", "name": "Trait-based approaches in rapidly changing ecosystems: A roadmap to the future polar oceans.", "description": " - Polar marine regions are facing rapid changes induced by climate change, with consequences for local faunal populations, but also for overall ecosystem functioning, goods and services. Yet given the complexity of polar marine ecosystems, predicting the mode, direction and extent of these consequences remains challenging. Trait based approaches are increasingly adopted as a tool by which to explore changes in functioning, but trait information is largely absent for the high latitudes. Some understanding of trait function relationships can be gathered from studies at lower latitudes, but given the uniqueness of polar ecosystems it is questionable whether these relationships can be directly transferred. Here we discuss the challenges of using trait-based approaches in polar regions and present a roadmap of how to overcome them by following six interlinked steps: (1) forming an active, international research network, (2) standardizing terminology and methodology, (3) building and crosslinking trait databases, (4) conducting coordinated trait-function experiments, (5) implementing traits into models, and finally, (6) providing advice to management and stakeholders. The application of trait-based approaches in addition to traditional species-based methods will enable us to assess the effects of rapid ongoing changes on the functioning of marine polar ecosystems. Implementing our roadmap will make these approaches more easily accessible to a broad community of users and consequently aid understanding of the future polar oceans. - , - Refereed - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2206", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2206", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2206", "url": "https:\/\/hdl.handle.net\/11329\/2206" }, "author": [ { "@type": "Person", "name": "Degen, Renate" }, { "@type": "Person", "name": "Aune, Magnus" }, { "@type": "Person", "name": "Bluhm, Bodil A." }, { "@type": "Person", "name": "Cassidy, Camilla" }, { "@type": "Person", "name": "Kedra, Monika" }, { "@type": "Person", "name": "Kraan, Casper" }, { "@type": "Person", "name": "Vandepitte, Leen" }, { "@type": "Person", "name": "Wlodarska-Kowalczuk, Maria" }, { "@type": "Person", "name": "Zhulay, Irina" }, { "@type": "Person", "name": "Albano, Paolo G." }, { "@type": "Person", "name": "Bremner, Julie" }, { "@type": "Person", "name": "Grebmeier, Jacqueline M." }, { "@type": "Person", "name": "Link, Heike" }, { "@type": "Person", "name": "Morata, Nathalie" }, { "@type": "Person", "name": "Nordstrom, Marie C." }, { "@type": "Person", "name": "Shojaei, Mehdi Ghodrati" }, { "@type": "Person", "name": "Sutton, Lauren" }, { "@type": "Person", "name": "Zuschin, Martin" } ], "keywords": [ "Functional traits", "Marine ecosystems", "Other biological measurements", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/110", "name": "International list of Voluntary Observing Ships Metadata fields & descriptions, exchange formats and code tables. Metadata Format Version 04. (Document Revision 4.1) . [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-771]", "description": " - Ship metadata - , - The catalogue, which contains a comprehensive range of ship\u2019s metadata, was originally available as a WMO publication, WMO-No. 47 (commonly referred to as Pub 47). Due to increasing printing and distribution costs, the publication was suspended in the late 1990s. An electronic version of the catalogue became available on the WMO website < http:\/\/www.wmo.ch\/web\/www\/ois\/pub47\/pub47-home.htm > during 2003. Despite the changed method of distribution, the electronic file retains the name of the original publication. Because of changing demands for ship\u2019s metadata, the Ship Observations Team (SOT) formed a Task Team at SOT-II (July 2003, London, UK) to revise the metadata requirements of WMO-No. 47. The proposed changes were subsequently approved at JCOMM-II (September 2006, Halifax, Canada). This document describes the field descriptions, presentation layout and file exchange formats for WMO-No. 47, Metadata Format Version 04, approved at JCOMM-II. These changes come into effect on 1 June 2013. - , - http:\/\/www.bom.gov.au\/jcomm\/vos\/documents\/pub47_documentation_version3.pdf and http:\/\/www.wmo.int\/pages\/prog\/www\/ois\/pub47\/pub47-home.htm - , - Superseded - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/110", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/110", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/110", "url": "https:\/\/hdl.handle.net\/11329\/110" }, "author": [ { "@type": "Person", "name": "JCOMM Ship Observations Team (SOT)" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Ship metadata" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/590.3", "name": "Field Procedures Manual, February 2021.", "description": " - The goal of the Field Procedures Manual (FPM) is to provide NOAA field units with a set of standardized guidelines and best practices for conducting, processing, and generating final deliverables. This FPM has received a major revision from the one released in 2014 and will be adopting a new collaborative format before the 2021 field season to keep up with further changes. NOAA field units drive the changes to better enhance our products. Modernizations do not start with silence, and we are inviting the field units to contribute to future editions and continual development. Future FPMs will require more than periodic maintenance. To ease this change, the document will be released on a digital interactive page. This will allow users to navigate between topics with a simple click. Additionally, a digital version will allow our field units to better contribute, edit, and share methods to the data collections standards outlined in this manual. The benefits of hydrography can be seen daily in its contribution to the nation\u2019s economy, maritime defense, marine and environmental science, tourism, and recreational activities. This list has grown since explorers started charting the coastline, and I imagine hydrography will continue to deserve greater attention than it has previously. Together, we can continue to develop the best practices to serve and contribute to national and worldwide needs. Any mention of a commercial company or product within this manual does not constitute an endorsement by NOAA. The use for publicity or advertising purposes of information concerning proprietary products or software or the tests of such products is not authorized. Any new procedures put into effect will be implemented via a Hydrographic Surveys Technical Directive. - , - NOAA - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Organisational - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/590.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/590.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/590.3", "url": "https:\/\/hdl.handle.net\/11329\/590.3" }, "contributor": [ { "@type": "Organization", "name": "National Oceanic and Atmospheric Administration, Office of Coast Survey" } ], "keywords": [ "Hydrographic surveys", "Pre-survey planning", "Acoustic backscatter", "Bathymetric data", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2268", "name": "Using modelled prey to predict the distribution of a highly mobile marine mammal.", "description": " - Species distribution models (SDMs) are a widely used tool to estimate and map habitat suitability for wildlife populations. Most studies that model marine mammal density or distributions use oceanographic proxies for marine mammal prey. However, proxies could be a problem for forecasting because the relationships between the proxies and prey may change in a changing climate. We examined the use of model-derived prey estimates in SDMs using an iconic species, the western Arctic bowhead whale (Balaena mysticetus). Location Western Beaufort Sea, Alaska, USA. Methods: We used Biology Ice Ocean Modeling and Assimilation System (BIOMAS) to simulate ocean conditions important to western Arctic bowhead whales, including important prey species. Using both static and dynamic predictors, we applied Maxent and boosted regression tree (BRT) SDMs to predict bowhead whale habitat suitability on an 8-day timescale. We compared results from models that used bathymetry with those that used only BIOMAS simulated variables. Results The best model included bathymetry and BIOMAS variables. Inclusion of dynamic variables in SDMs produced predictions that reflected temporal dynamics evident from the survey data. Bathymetry was the most influential variable in models that included that variable. Zooplankton was the most important variable for models that did not include bathymetry. Models with bathymetry performed slightly better than models with only BIOMAS derived variables. Main conclusions Bathymetry and modelled zooplankton were the most important predictor variables in bowhead whale distribution models. Our predictions reflected within-year variability in bowhead whale habitat suitability. Using modelled prey availability, rather than oceanographic proxies, could be important for forecasting species distributions. Predictor variables used in our study were derived from a biophysical ocean model with demonstrated ability to project future ocean conditions. A natural next step is to use output from our biophysical ocean model to understand the effects of Arctic climate change. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2268", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2268", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2268", "url": "https:\/\/hdl.handle.net\/11329\/2268" }, "author": [ { "@type": "Person", "name": "Pendleton, Daniel E." }, { "@type": "Person", "name": "Holmes, Elizabeth E." }, { "@type": "Person", "name": "Redfern, Jessica" }, { "@type": "Person", "name": "Zhang, Jinlun" } ], "keywords": [ "Arctic bowhead whale (Balaena mysticetus)", "Biology Ice Ocean Modeling and Assimilation System (BIOMAS)", "Birds, mammals and reptiles", "Data analysis", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/740", "name": "Performance Verification Statement for Sea-Bird Scientific HydroCAT Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et.al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the results of the SBS HydroCAT equipped with an optical dissolved oxygen sensor. Instrument accuracy and precision for the SBS HydroCAT was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the SBS HydroCAT and reference measurement for the nine trials ranged from -0.012 to 0.132 mg\/L. There was a noticeable temperature effect in instrument response with offsets going from a mean of -0.082 to 0.103 across the temperature trials of 4-15-30 oC. There was no noticeable pattern to the magnitude or direction of differences across the salinity. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.003 \u2013 0.013 mg\/L across trials with an overall average of 0.006 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.027 \u2013 0.265 percent across trials with an overall average of 0.074%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The overall mean difference between SBS HydroCAT and reference measurements was -0.018 (\u00b1 0.298) mg\/L for 156 comparisons over 56 days of fluctuating temperature and DO conditions in a deionized water bath. There was minimal change in accuracy over time (slope = -0.004 mg\/L\/d) as indicated by a linear regression of the differences over time ((r2 = 0.049; p=0.006). The manufacturer declined from having the SBS HydroCAT evaluated for response time test as designed in the Verification Protocols, so no results are available. At Houghton, MI the field test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The SBS HydroCAT operated successfully throughout the entire 15week deployment and generated 9859 observations based on its 15 minute sampling interval for a data completion result of 100%. The measured DO range from our 142 discrete reference samples was 10.249 to 14.007 mg\/L compared to the broader dynamic range of 9.06 to 15.33 mg\/L reported by the SBS HydroCAT. The average and standard deviation of the measurement difference between the SBS HydroCAT and reference samples over the total deployment was 0.776 \u00b1 0.223 mg\/L with a total range of 0.270 to 1.070 mg\/L. There was no measurable trend in instrument offset during the entire deployment (linear regression: r2=0.003; p=0.58) as a result of either biofouling effects or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.99; p<0.0001) produced a slope of 0.947 and intercept of 1.04, indicating an initial calibration offset at the beginning of the deployment. At Chesapeake Biological Lab, the field test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The SBS HydroCAT operated successfully throughout the entire deployment and generated 7270 observations based on its 15 minute sampling interval for a data completion result of 100%. The measured DO range from our 142 discrete reference samples was 4.37 \u2013 10.86 mg\/L compared to the broader dynamic range of 2.12 to 12.81 mg\/L reported by the SBS HydroCAT. The average and standard deviation of the measurement difference between the SBS HydroCAT and reference measurements for the entire deployment was -0.464 \u00b10.581 mg\/L, with the total range of differences between -1.99 to 0.65 mg\/L. The calculated drift rate in instrument response for the entire deployment period was -0.079 mg\/L\/d (r2 = 0.49; p<0.0001). In contrast, the drift rate for the first 35 days of the deployment was much less, averaging only -0.016 mg\/L\/d (r2 = 0.54; p<0.001). In both cases the rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.97; p<0.001) produced a slope of 0.985 and intercept of 0.181. No results are available for the Kaneohe Bay, HI field deployment due to a programming error by ACT staff during the deployment set-up. Overall, the SBS HydroCAT response showed good linearity over the two salinity ranges tested which included fresh brackish water. The response curves were generally consistent across the concentration range within a given test site and over the broader range of DO conditions (4 - 14 mg\/L) across sites, with the noted result of a likely initial calibration offset for the freshwater test. A linear regression of the composited data (r2 = 0.997; p<0.0001)) had a slope of 1.043 and intercept of -0.261. The manufacturer declined from having the SBS HydroCAT evaluated under the profiling application as designed in the Verification Protocols, so no results are available. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/740", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/740", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/740", "url": "https:\/\/hdl.handle.net\/11329\/740" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1421", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control - Sediment Trap Particle Fluxes, Version 1.0, 1997-2018.", "description": " - This report details the quality assessment and control procedures applied to the particle flux data collected by the Subantarctic Zone (SAZ) sediment trap moorings. The datasets are publicly available via the AODN Data Portal https:\/\/portal.aodn.org.au\/search. The Southern Ocean Time Series (SOTS) is a Sub-Facility of the Australian Integrated Marine Observing System (IMOS), funded by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated under collaborative arrangements amongthe CSIRO Oceans and Atmosphere, Bureau of Meteorology, and University of Tasmania, including via the Antarctic Climate and Ecosystems Cooperative Research Centre and the Australian Antarctic Program Partnership. The primary focus is sustained observing of ocean properties and processes important to climate,carbon cycling, and ocean productivity. The SOTS Sub-Facility consists of deep ocean moorings deployed in Subantarctic waters southwest of Tasmania, equipped with autonomous sensors and sample collectors. SOTS moorings are serviced annually - the existing moorings are recovered and new moorings are deployed. Some sensor data is transmitted from the moorings via satellite in near real time. Other sensor data and samples are recovered during the annual service visit. - , - Australia\u2019s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. - , - Published - , - Non Refereed - , - Current - , - 14 - , - Particulate matter - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1421", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1421", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1421", "url": "https:\/\/hdl.handle.net\/11329\/1421" }, "author": [ { "@type": "Person", "name": "Wynn-Edwards, Cathryn Ann" }, { "@type": "Person", "name": "Davies, Diana M" }, { "@type": "Person", "name": "Shadwick, Elizabeth H" }, { "@type": "Person", "name": "Trull, Thomas W" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::sediment traps", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1257", "name": "Guideline of ocean observations, Volumes 1-10. 4th edition.", "description": " - The Oceanographic Society of Japan published the first edition of Guideline of Ocean Observations in September 2015 with an overview of oceanographic observations and the latest oceanographic and analytical methods. This 4th edition is organized into 50 chapters, including 12 new and two updated chapters. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Particulate matter - , - Zooplankton biomass and diversity - , - Sea ice - , - Phytoplankton biomass and diversity - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1257", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1257", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1257", "url": "https:\/\/hdl.handle.net\/11329\/1257" }, "contributor": [ { "@type": "Organization", "name": "The Oceanographic Society of Japan" } ], "keywords": [ "Acoustic Doppler Current Profiler (ADCP)", "Trace metals", "Plankton", "Benthos", "Reference materials", "Sediment analysis", "Seawater analysis", "Sediment sampling", "Radioactivity", "Marine pollution", "Microplastics", "Marine debris", "Quality control", "Standard materials", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2572", "name": "Cytochip User Manual: Marine Deployable impedance and fluorescence flow cytometer. Version 01.", "description": " - Cytochip is a marine deployable flow cytometer. It uses an microfluidic impedance and fluorescence chip to measure the size and fluorescence emission from particles suspended in seawater. The device can be deployed from a boat, pontoon or potentially an AUV for autonomous sampling potentially up to a depth of 2000 m. This user manual guides the user through step by step through the start up and operating processes with the flow cytometer. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Mature - , - Multi-organisational - , - Species populations; Species abundances; Species distribution - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2572", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2572", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2572", "url": "https:\/\/hdl.handle.net\/11329\/2572" }, "author": [ { "@type": "Person", "name": "Siracusa, F" }, { "@type": "Person", "name": "Butement, J" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Deployment", "NOC cytometer", "Fluorescence flow cytometry", "Impedance flow cytometry", "Microfluidics", "LOC", "Other inorganic chemical measurements", "flow cytometers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1935", "name": "OpenRefine: a power tool for working with messy data.", "description": " - This Library Carpentry lesson introduces people working in library- and information-related roles to working with data in OpenRefine. At the conclusion of the lesson you will understand what the OpenRefine software does and how to use the OpenRefine software to work with data files. - , - Published - , - Current - , - Mature - , - International - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1935", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1935", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1935", "url": "https:\/\/hdl.handle.net\/11329\/1935" }, "contributor": [ { "@type": "Organization", "name": "Library Carpentry" } ], "keywords": [ "Cross-discipline", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1961.2", "name": "Gu\u00eda para el control de calidad de datos de temperatura y salinidad obtenidos en cruceros oceanogr\u00e1ficos regionales. Version 2.", "description": " - Establish a methodology for quality control of salinity and temperature data from the water column, obtained using CTD profilers on associated oceanographic cruises to the ERFEN program of the CPPS. The proposed quality tests will lead to the assignment of quality flags recommended by the international IODE program. The qualified data will be part of the Base of Regional Data for different users. - , - Published - , - Refereed - , - Establecer una metodolog\u00eda para el control de calidad de datos de salinidad y temperatura de la columna de agua, obtenidos mediante perfiladores CTD en los cruceros oceanogr\u00e1ficos asociados al programa ERFEN de la CPPS. Las pruebas de calidad propuestas conducir\u00e1n a la asignaci\u00f3n de banderas de calidad recomendadas por el programa internacional IODE. Los datos calificados har\u00e1n parte de la Base de Datos Regional para los diferentes usuarios. - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - Multi-organisational - , - International - , - N\/A - , - Temperature sensor - , - Salinity sensor - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1961.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1961.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1961.2", "url": "https:\/\/hdl.handle.net\/11329\/1961.2" }, "contributor": [ { "@type": "Organization", "name": "Comisi\u00f3n Permanente del Pac\u00edfico Sur (CPPS)" } ], "keywords": [ "Water column temperature and salinity", "CTD", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1091", "name": "OGC Best Practice for using Web Map Services (WMS) with Time-Dependent or Elevation-Dependent Data. Version 1.0.", "description": " - This document proposes a set of best practices and guidelines for implementing and using the Open Geospatial Consortium (OGC) Web Map Service (WMS) to serve maps which are time-dependent or elevation-dependent. In particular, clarifications and restrictions on the use of WMS are defined to allow unambiguous and safe interoperability between clients and servers, in the context of expert meteorological and oceanographic usage and non-expert usage in other communities. This Best Practice document applies specifically to WMS version 1.3, but many of the concepts and recommendations will be applicable to other versions of WMS or to other OGC services, such as the Web Coverage Service. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1091", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1091", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1091", "url": "https:\/\/hdl.handle.net\/11329\/1091" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Web Mapping Services (WMS)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2143", "name": "Environmental DNA test validation guidelines.", "description": " - These Environmental DNA test validation guidelines provide harmonised quality control and minimum standard considerations for developing or validating eDNA\/eRNA assays for the purpose of single-species or multi-species detection. This document is a comprehensive guide for the development and use of eDNA\/eRNA tests, recommended and curated by eDNA experts, stakeholders and end users in Australia and New Zealand. The guidelines are designed to support a consistent and best-practice approach to eDNA\/ eRNA testing to help detect species of interest. This approach ensures that surveillance and resource managers are provided with robust scientific evidence to support decision making. - , - Australian Government Department of Agriculture, Fisheries and Forestry, and led by Alejandro Trujillo-Gonzalez (ATG) of the University of Canberra and Maarten De Brauwer (MDB) of CSIRO. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2143", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2143", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2143", "url": "https:\/\/hdl.handle.net\/11329\/2143" }, "author": [ { "@type": "Person", "name": "De Brauwer, M." }, { "@type": "Person", "name": "Chariton, A." }, { "@type": "Person", "name": "Clarke, L.J." }, { "@type": "Person", "name": "Cooper, M.K." }, { "@type": "Person", "name": "DiBattista, J." }, { "@type": "Person", "name": "Furlan, E." }, { "@type": "Person", "name": "Giblot-Ducray, D." }, { "@type": "Person", "name": "Gleeson, D." }, { "@type": "Person", "name": "Harford, A." }, { "@type": "Person", "name": "Herbert, S." }, { "@type": "Person", "name": "MacDonald, A.J." }, { "@type": "Person", "name": "Miller, A." }, { "@type": "Person", "name": "Montgomery, K." }, { "@type": "Person", "name": "Mooney, T." }, { "@type": "Person", "name": "Noble, L.M." }, { "@type": "Person", "name": "Rourke, M." }, { "@type": "Person", "name": "Sherman, C.D.H." }, { "@type": "Person", "name": "Stat, M." }, { "@type": "Person", "name": "Suter, L." }, { "@type": "Person", "name": "West, K.M." }, { "@type": "Person", "name": "White, N." }, { "@type": "Person", "name": "Villacorta-Rath, C." }, { "@type": "Person", "name": "Zaiko, A." }, { "@type": "Person", "name": "Trujillo-Gonzalez, A." } ], "contributor": [ { "@type": "Organization", "name": "National eDNA Reference Centre" } ], "keywords": [ "eDNA", "eRNA", "Metabarcoding", "Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/605", "name": "Guide to best practices for generalising sensitive\/primary species occurrence-data. Version 1.0.", "description": " - The unprotected distribution of Sensitive Primary Species Occurrence Data (for example the exact localities of rare, endangered or commercially valuable taxa) has been a concern of the GBIF Secretariat since its beginning. In early 2006, GBIF initiated a process to address this issue, especially in relation to data to be shared through the GBIF network and made visible through the GBIF Data Portal. A review of current approaches for obscuring or generalising such data was initiated in February 2006 and an on-line survey conducted through Survey Monkey1 . A separate report on the results was made available via the GBIF Web site2 in early June 2006 (Chapman 2006). An experts\u2019 workshop was then held in early March 2007 that focussed on the various technical issues involved (Chapman 2007a). A final report on Dealing with Sensitive Primary Species Occurrence Data was developed following these processes and discussions, and was presented to GBIF in April 2007 (Chapman 2007b). It is available via the GBIF Web site. This report made a number of recommendations, and many of these are included in this document. The final step in this process has been to develop a Guide to Best Practices. This document should be seen as an overriding guideline for institutions, data providers and GBIF Nodes to use to develop their own in-house guidelines. Organisations and institutions should produce their own internal document that incorporates the practices outlined in this document and related documents such as the Guide to Best Practices in Georeferencing (Chapman and Wieczorek 2006) and incorporate them into their own working environment. It is also important to understand the possible impact that approaches for restricting sensitive data may have on biodiversity science and, while restricting the availability or resolution of certain data, not overly restricting the uses to which the data may be put. For that reason, a set of principles are elucidated below. Key among these is the need to make biodiversity information freely available wherever possible, in the interests of science, the environment and the biodiversity itself. Two issues that this document has not covered, because they will need further discussion and agreement before robust recommendations can be made, are the issues of the privacy of living individuals and the development of Data Sharing and Data License Agreements. Both of these issues have legal implications and vary considerably from jurisdiction to jurisdiction. Recommendations were made in the Report on Dealing with Sensitive Species Occurrence Data (Chapman 2007) for GBIF to further explore these issues - , - Published - , - Refereed - , - Current - , - SDG14A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/605", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/605", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/605", "url": "https:\/\/hdl.handle.net\/11329\/605" }, "author": [ { "@type": "Person", "name": "Chapman, Arthur D." }, { "@type": "Person", "name": "Grafton, Oliver" } ], "contributor": [ { "@type": "Organization", "name": "Global Biodiversity Information Facility" } ], "keywords": [ "Species diversity", "Sensitive data", "GBIF", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/875", "name": "Comparing historical and modern methods of sea surface temperature measurement \u2013 Part 1: Review of methods, field comparisons and dataset adjustments.", "description": " - Sea surface temperature (SST) has been obtained from a variety of different platforms, instruments and depths over the past 150 yr. Modern-day platforms include ships, moored and drifting buoys and satellites. Shipboard methods include temperature measurement of seawater sampled by bucket and flowing through engine cooling water intakes. Here I review SST measurement methods, studies analysing shipboard methods by field or lab experiment and adjustments applied to historical SST datasets to account for variable methods. In general, bucket temperatures have been found to average a few tenths of a \u25e6C cooler than simultaneous engine intake temperatures. Field and lab experiments demonstrate that cooling of bucket samples prior to measurement provides a plausible explanation for negative average bucket-intake differences. These can also be credibly attributed to systematic errors in intake temperatures, which have been found to average overly-warm by >0.5 \u25e6C on some vessels. However, the precise origin of non-zero average bucket-intake differences reported in field studies is often unclear, given that additional temperatures to those from the buckets and intakes have rarely been obtained. Supplementary accurate in situ temperatures are required to reveal individual errors in bucket and intake temperatures, and the role of near-surface temperature gradients. There is a need for further field experiments of the type reported in Part 2 to address this and other limitations of previous studies. - , - Refereed - , - Sea surface temperature - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/875", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/875", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/875", "url": "https:\/\/hdl.handle.net\/11329\/875" }, "author": [ { "@type": "Person", "name": "Matthews, J. B. R." } ], "keywords": [ "Bucket temperature", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1868", "name": "Strategic guidelines for a more sustainable and competitive EU aquaculture for the period 2021 to 2030 {SWD(2021) 102 final}", "description": " - The European Green Deal and the Farm to Fork Strategy underline the potential of farmed seafood as a source of protein for food and feed with a low-carbon footprint which has an important role to play in helping to build a sustainable food system. The Farm to Fork Strategy also sets specific targets for aquaculture, in particular the reduction of sales of antimicrobials1 and a significant increase in organic aquaculture. Aquaculture creates jobs and economic development opportunities in the EU\u2019s coastal and rural communities. This sector can also help: decarbonise the economy; fight climate change and mitigate its impact; reduce pollution; contribute to better preserving ecosystems (in line with the objectives of the Biodiversity strategy and the Zero-pollution ambition for a toxic-free environment); and be part of a more circular management of resources. A strategic and long-term approach for the sustainable growth of EU aquaculture is therefore more relevant today than ever. This approach should also set the path for the recovery of the EU aquaculture sector in the aftermath of the COVID-19 crisis, and ensure its longer-term sustainability and resilience. The Common Fisheries Policy Regulation3 already called for a coordinated EU strategic approach to support the growth of the EU aquaculture sector while ensuring its economic, environmental and social sustainability. Despite of progress made thanks to the \u201cOpen Method of Coordination\u201d laid down by the Regulation as well as EU funding, the aquaculture sector is still far from reaching its full potential in terms of growth and meeting the increasing demand for more sustainable seafood4. The EU imports over 70% of the seafood that it consumes5. Aquaculture products overall (including imports) represent 25% of EU consumption of seafood, while EU aquaculture products represent only 10% of EU consumption. EU aquaculture accounts for less than 2% of global aquaculture production. EU Aquaculture production remains highly concentrated in terms of both EU Member States and species farmed, so there is significant potential for diversification. Aquaculture in the EU, when compared to aquaculture in other countries, is subject to some of the strictest regulatory requirements for quality, health and the environment. But even so, EU aquaculture can still further improve its environmental performance, and thereby contribute to the objectives of the European Green Deal and related strategies. This Communication reviews the Commission\u2019s Strategic Guidelines for the sustainable development of EU aquaculture adopted in 20136. These guidelines have been the main 1 According to the Farm to Fork Strategy, the Commission will \u2018take action to reduce overall EU sales of antimicrobials for farmed animals and in aquaculture by 50% by 2030\u2019. 2 The Farm to Fork Strategy sets the objective of having \u2018at least 25% of the EU\u2019s agricultural land under organic farming by 2030 and a significant increase in organic aquaculture\u2019. 3 Regulation (EU) No 1380\/2013. 4 A detailed analysis of the economic performance of the EU aquaculture sector produced by the Scientific, Technical and Economic Committee for Fisheries (STECF) STECF can be consulted at https:\/\/stecf.jrc.ec.europa.eu\/reports\/economic. 5 If we consider exports of EU fisheries and aquaculture products, according to the 2020 report on the EU Fish Market of the European Market Observatory for Fisheries and Aquaculture Products (EUMOFA), the self-sufficiency rate for fisheries and aquaculture products was about 42% in 2018. Self-sufficiency is defined as the capacity of EU Member States to meet demand from their own production, and can be calculated as the ratio of domestic production over domestic consumption. 6 COM (2013)229 final of 29.4.2013. pillar of the strategic coordination of aquaculture policy in the EU. By 2015, on the basis of these guidelines, EU Member States adopted Multi-annual National Strategic Plans (MNSPs) for aquaculture. The implementation of these MNSPs was supported by the exchange of good practices among EU Member States facilitated by the Commission and funding through the European Maritime and Fisheries Fund (EMFF) and other EU funds. The Commission has invited EU Member States to review their MNSPs taking into consideration consultations on the new guidelines laid down in this Communication. The future European Maritime Fisheries and Aquaculture Fund7 (EMFAF) will continue to provide support to EU Member States to help implement the strategic vision for the sector, as reflected in those MNSPs and their Operational Programmes, including through local actions. - , - European Commission, European Union - , - Published - , - Current - , - 14.c - , - N\/A - , - Multi-organisational - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1868", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1868", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1868", "url": "https:\/\/hdl.handle.net\/11329\/1868" }, "contributor": [ { "@type": "Organization", "name": "European Commission" } ], "keywords": [ "Legislation", "Regulations", "Aquaculture", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/917", "name": "Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, Volume 2.0. Beam Transmission and Attenuation Coefficients: Instruments, Characterization, Field Measurements and Data Analysis Protocols.", "description": " - Inherent Optical Properties Measurements and Protocols: Beam Transmission and Attenuation (v2.0) is a document that serves as a comprehensive overview of beam transmittance concepts and the calibration, measurement and analysis protocols for the state-of-the-art technologies that measure the attenuation of dissolved and particulate matter in water. Section 1 provides a detailed overview of measurement concepts and governing equations to derive the beam attenuation coefficient. Section 2 details the design characteristics of common transmissometers. Section 3 describes methods for the characterization and calibration of beam transmissometers. Lastly, this document provides detailed data collection and analysis methods in Sections 4 and 5. This protocol document serves as an updated version of Chapter 2 in Ocean Optics Protocols for Satellite Ocean Color Sensor Validation Revision 4, Volume IV (Pegau et al. 2003). - , - NASA, IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: Boss, E., Twardowski, M., McKee, D., Cetini\u0107, I. and Slade, W. - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/917", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/917", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/917", "url": "https:\/\/hdl.handle.net\/11329\/917" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Beam transmissometer", "Attenuation", "Dissolved particulate matter", "Particulate matter", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::transmissometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/666", "name": "Biological effects of contaminants: the use of embryo aberrations in amphipod crustaceans for measuring effects of environmental stressors.", "description": " - This report describes the methodology for assessing the proportions and different types of embryo aberrations in both sediment\u2010dwelling and nektonic amphipods. Determination of malformed embryos is a sensitive method of detecting the effects of contaminants, such as trace metals and hydrophobic organic contaminants. Furthermore, it is also possible to derive information about non\u2010contaminant environmental effects, e.g. oxygen deficiency and temperature stress, by discriminating between different types of embryo aberrations. Thus, the main advantage of the method is to separate general effects of contaminants from other environmental stressors. It is a general bio\u2010indicator that is sensitive to all kinds of xenobiotics and is applicable for measuring effects of long\u2010term chronic impact of individual chemicals or mixtures of contaminants, as well as acute local effects from point source discharges in situ. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/666", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/666", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/666", "url": "https:\/\/hdl.handle.net\/11329\/666" }, "author": [ { "@type": "Person", "name": "Sundelin, B." }, { "@type": "Person", "name": "Eriksson Wiklund, A-K." }, { "@type": "Person", "name": "Ford, A.T." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1024", "name": "A BGC-Argo Guide: Planning, Deployment, Data Handling and Usage.", "description": " - The Biogeochemical-Argo program (BGC-Argo) is a new profiling-float-based, ocean wide, and distributed ocean monitoring program which is tightly linked to, and has benefited significantly from, the Argo program. The community has recommended for BGC-Argo to measure six additional properties in addition to pressure, temperature and salinity measured by Argo, to include oxygen, pH, nitrate, downwelling light, chlorophyll fluorescence and the optical backscattering coefficient. The purpose of this addition is to enable the monitoring of ocean biogeochemistry and health, and in particular, monitor major processes such as ocean deoxygenation, acidification and warming and their effect on phytoplankton, the main source of energy of marine ecosystems. Here we describe the salient issues associated with the operation of the BGC-Argo network, with information useful for those interested in deploying floats and using the data they produce. The topics include float testing, deployment and increasingly, recovery. Aspects of data management, processing and quality control are covered as well as specific issues associated with each of the six BGC-Argo sensors. In particular, it is recommended that water samples be collected during float deployment to be used for validation of sensor output. - , - Refereed - , - 14 - , - Inorganic carbon - , - Oxygen - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Best Practice - , - Standard Operating Procedure - , - 2019-03-15 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1024", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1024", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1024", "url": "https:\/\/hdl.handle.net\/11329\/1024" }, "author": [ { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "Maurer, Tanya L." }, { "@type": "Person", "name": "Plant, Joshua N." }, { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Wong, Annie P. S." }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "Trull, Thomas W." }, { "@type": "Person", "name": "Udaya Bhaskar, T. V. S." }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Dall\u2019Olmo, Giorgio" }, { "@type": "Person", "name": "Organelli, Emanuele" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "Johnson, Kenneth S." }, { "@type": "Person", "name": "Hanstein, Craig" }, { "@type": "Person", "name": "Leymarie, Edouard" }, { "@type": "Person", "name": "Le Reste, Serge" }, { "@type": "Person", "name": "Riser, Stephen C." }, { "@type": "Person", "name": "Rupan, A. Rick" }, { "@type": "Person", "name": "Taillandier, Vincent" }, { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Xing, Xiaogang" } ], "keywords": [ "Ocean observation", "Ocean biogeochemical cycles", "Sensors", "Carbon cycle", "Ocean optics", "Argo profiles", "BGC-Argo", "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1155", "name": "DGIWG \u2013 Web Feature Service 2.0 Profile. Version 2.0.", "description": " - This document defines the DGIWG profile for the ISO 19142:2010 - Web Feature Service (WFS) including changes made in the OpenGIS Web Feature Service 2.0 Interface Standard - Corrigendum. The Web Feature Service provides access to geospatial features in a manner independent of the underlying data store. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1155", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1155", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1155", "url": "https:\/\/hdl.handle.net\/11329\/1155" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1855", "name": "3D Recording and Interpretation for Maritime Archaeology.", "description": " - The need for a volume focused on the use of 3D technologies in maritime archaeology has become increasingly apparent to practitioners in the field. This is due to an exponential increase in the application of several distinct 3D recording, analysis and interpretation techniques which have emerged and become part of the maritime archaeologist\u2019s toolbox in recent years. In November of 2016, a workshop on this theme was hosted by the UNESCO UNITWIN Network for Underwater Archaeology and Flinders University, Maritime Archaeology Program, in Adelaide, South Australia. The UNITWIN Network (2018) is a UNESCO twinning network of universities involved in education and research of maritime and underwater archaeology. The criteria for full membership requires that each university must offer a dedicated degree in maritime or underwater archaeology. Membership (full and associate members) of the Network currently stands at 30 universities worldwide and the network continues to grow as more universities with existing courses are added. Flinders University chaired the Network as its elected Coordinator (2015\u20132018), which was passed on to Southampton University at the end of 2018. The workshop in Adelaide and this publication have been undertaken in line with the objectives of the UNITWIN Network which include promotion of \u2018an integrated system of research, training, information and documentation activities in the field of archaeology related to underwater cultural heritage and related disciplines.\u2019 A major element of the workshop was group discussion and many participants in the workshop noted an urgent need for stronger communication and collaboration between maritime archaeologists working in the areas of 3D applications. This volume was inspired by the group discussions held at the workshop and is the first collection of studies devoted exclusively to discussion of 3D technologies for maritime archaeology. As such it is hoped that it will make an important contribution towards fulfilling the aims of the Network. - , - Published - , - Current - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1855", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1855", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1855", "url": "https:\/\/hdl.handle.net\/11329\/1855" }, "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "3D applications", "3D mapping \u00b7", "Submerged landscapes", "Shipwrecks", "Marine survey", "Underwater archaeology", "Marine archaeology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1014", "name": "OGC Coverage Implementation Schema - ReferenceableGridCoverage Extension.", "description": " - The OGC GML Application Schema - Coverages (\u201cGMLCOV\u201d) version 1.0 [OGC 09- 146r2], recently renamed the OGC Coverage Implementation Schema version 1.0, provides a ReferenceableGridCoverage element for representing coverages on a referenceable grid. However, GMLCOV provides no instantiable subtypes of a critical sub-element of ReferenceableGridCoverage, GMLCOV::AbstractReferenceableGrid. To make use of ReferenceableGridCoverage, an extension deriving from GMLCOV would need to be developed. GML 3.3 is not such an extension of GMLCOV, as it is built independently from GMLCOV. Use of the instantiable referenceable grid elements of GML 3.3 with ReferenceableGridCoverage violates Requirement 14 of GMLCOV 1.0 and Requirement 24 of the OGC Modular Specification1. This OGC Coverage Implementation Schema - ReferenceableGridCoverage Extension provides a set of referenceable grid elements for use as sub-elements of ReferenceableGridCoverage. Three of these elements have been adapted from GML 3.3, while a fourth emerged from work on a Testbed-11 Engineering Report2. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1014", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1014", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1014", "url": "https:\/\/hdl.handle.net\/11329\/1014" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1723", "name": "An empirical approach to improving tidal predictions using recent real-time tide gauge data.", "description": " - Harmonic tidal prediction methods are often problematic in estuaries owing to the distortion of tidal fluctuations in shallow water, causing disparity between predicted and observed sea levels. The UK National Tidal and Sea Level Facility attempted to reduce prediction errors for the short-term forecasting of High Water (HW) extremes using three alternative techniques to the Harmonic Method in the Bristol Channel, where prediction errors are relatively large. A simple procedure for correcting Harmonic Method HW predictions using recent observations (referred to as the Empirical Correction Method) proved most effective and was also successfully applied to sea-level records from 42 of the 44 UK Tide Gauge Network locations. It is to be incorporated into the operational systems of the UK Coastal Monitoring and Forecasting Partnership to improve UK shortterm sea level predictions. - , - Refereed - , - 14 - , - Sea surface height - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1723", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1723", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1723", "url": "https:\/\/hdl.handle.net\/11329\/1723" }, "author": [ { "@type": "Person", "name": "Hibbert, Angela" }, { "@type": "Person", "name": "Royston, Samantha Jane" }, { "@type": "Person", "name": "Horsburgh, Kevin James" }, { "@type": "Person", "name": "Leach, Harry" }, { "@type": "Person", "name": "Hisscott, Alan" } ], "keywords": [ "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2252", "name": "Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance.", "description": " - The energy radiated by the Earth toward space does not compensate the incoming radiation from the Sun leading to a small positive energy imbalance at the top of the atmosphere (0.4\u20131 Wm\u20132). This imbalance is coined Earth\u2019s Energy Imbalance (EEI). It is mostly caused by anthropogenic greenhouse gas emissions and is driving the current warming of the planet. Precise monitoring of EEI is critical to assess the current status of climate change and the future evolution of climate. But the monitoring of EEI is challenging as EEI is two orders of magnitude smaller than the radiation fluxes in and out of the Earth system. Over 93% of the excess energy that is gained by the Earth in response to the positive EEI accumulates into the ocean in the form of heat. This accumulation of heat can be tracked with the ocean observing system such that today, the monitoring of Ocean Heat Content (OHC) and its long-term change provide the most efficient approach to estimate EEI. In this community paper we review the current four state-of-the-art methods to estimate global OHC changes and evaluate their relevance to derive EEI estimates on different time scales. These four methods make use of: (1) direct observations of in situ temperature; (2) satellite-based measurements of the ocean surface net heat fluxes; (3) satellite-based estimates of the thermal expansion of the ocean and (4) ocean reanalyses that assimilate observations from both satellite and in situ instruments. For each method we review the potential and the uncertainty of the method to estimate global OHC changes. We also analyze gaps in the current capability of each method and identify ways of progress for the future to fulfill the requirements of EEI monitoring. Achieving the observation of EEI with sufficient accuracy will depend on merging the remote sensing techniques with in situ measurements of key variables as an integral part of the Ocean Observing System. - , - ocean heat content, sea level, ocean mass, ocean surface fluxes, ARGO, altimetry, GRACE, Earth Energy Imbalance - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2252", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2252", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2252", "url": "https:\/\/hdl.handle.net\/11329\/2252" }, "author": [ { "@type": "Person", "name": "Meyssignac, Benoit" }, { "@type": "Person", "name": "Boyer, Tim" }, { "@type": "Person", "name": "Zhao, Zhongxiang" }, { "@type": "Person", "name": "Hakuba, Maria Z." }, { "@type": "Person", "name": "Landerer, Felix W." }, { "@type": "Person", "name": "Stammer, Detlef" }, { "@type": "Person", "name": "K\u00f6hl, Armin" }, { "@type": "Person", "name": "Kato, Seiji" }, { "@type": "Person", "name": "L\u2019Ecuyer, Tristan" }, { "@type": "Person", "name": "Ablain, Michael" }, { "@type": "Person", "name": "Abraham, John Patrick" }, { "@type": "Person", "name": "Blazquez, Alejandro" }, { "@type": "Person", "name": "Cazenave, Anny" }, { "@type": "Person", "name": "Church, John A." }, { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Cheng, Lijing" }, { "@type": "Person", "name": "Domingues, Catia M." }, { "@type": "Person", "name": "Giglio, Donata" }, { "@type": "Person", "name": "Gouretski, Viktor" }, { "@type": "Person", "name": "Ishii, Masayoshi" }, { "@type": "Person", "name": "Johnson, Gregory C." }, { "@type": "Person", "name": "Killick, Rachel E." }, { "@type": "Person", "name": "Legler, David" }, { "@type": "Person", "name": "Llovel, William" }, { "@type": "Person", "name": "Lyman, John" }, { "@type": "Person", "name": "Palmer, Matthew Dudley" }, { "@type": "Person", "name": "Piotrowicz, Steve" }, { "@type": "Person", "name": "Purkey, Sarah G." }, { "@type": "Person", "name": "Roemmich, Dean" }, { "@type": "Person", "name": "Roca, R\u00e9my" }, { "@type": "Person", "name": "Savita, Abhishek" }, { "@type": "Person", "name": "Schuckmann, Karina Von" }, { "@type": "Person", "name": "Speich, Sabrina" }, { "@type": "Person", "name": "Stephens, Graeme" }, { "@type": "Person", "name": "Wang, Gongjie" }, { "@type": "Person", "name": "Wijffels, Susan Elisabeth" }, { "@type": "Person", "name": "Zilberman, Nathalie" } ], "keywords": [ "Earth\u2019s Energy Imbalance (EEI)", "Global Ocean Heat Content (OCH)", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1308", "name": "Performance Characteristics of \u201cSpotter,\u201d a Newly Developed Real-Time Wave Measurement Buoy.", "description": " - The Spotter is a low-cost, real-time, solar-powered wave measurement buoy that was recently developed by Spoondrift Technologies, Inc. (Spoondrift). To evaluate the data quality of the Spotter device, we performed a series of validation experiments that included comparisons between Spotter-derived motions and prescribed wave motions (monochromatic and random waves) on a custom-built, motion-controlled validation stand and simultaneous in-water measurements using a conventional wave measurement buoy, the Datawell DWR-G4 (Datawell). Spotter evaluations included time-domain validation (i.e., wave by wave) and comparisons of wave spectra, directional moments, and bulk statistical parameters such as significant wave height, peak period, mean wave direction, and directional spread. Spotter wave measurements show excellent fidelity and lend a high degree of confidence in data quality. Overall, Spotter-derived bulk statistical parameters were within 10% of respective Datawell-derived quantities. The Spotter\u2019s low cost and compact form factor enabled unique field deployments of multiple wave measurement buoys for direct measurements of wave characteristics such as ocean wave decorrelation length scales, wave speed, and directional spread. Wave decorrelation lengths were found to be inversely proportional to the width of the spectrum, and wave speeds compared well against linear wave theory. - , - Refereed - , - 14.A - , - Sea state - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1308", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1308", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1308", "url": "https:\/\/hdl.handle.net\/11329\/1308" }, "author": [ { "@type": "Person", "name": "Raghukumar, Kaustubha" }, { "@type": "Person", "name": "Chang, Grace" }, { "@type": "Person", "name": "Spada, Frank" }, { "@type": "Person", "name": "Jones, Craig" }, { "@type": "Person", "name": "Janssen, Tim" }, { "@type": "Person", "name": "Gans, Andrew" } ], "keywords": [ "Wind wave measurement", "Buoy observations", "Surface observations", "Surface waves", "Renewable energy", "Parameter Discipline::Physical oceanography::Waves", "Instrument Type Vocabulary::wave recorders", "Global positioning systemss (GPS)", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1197", "name": "Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment.", "description": " - Improved comparability of nutrient concentrations in seawater is required to enhance the quality and utility of measurements reported to global databases. Significant progress has been made over recent decades in improving the analysis and data quality for traditional laboratory measurements of nutrients. Similar efforts are required to establish high-quality data outputs from in situ nutrient sensors, which are rapidly becoming integral components of ocean observing systems. This paper suggests using the good practices routine established for laboratory reference methods to propose a harmonized set of deployment protocols and of quality control procedures for nutrient measurements obtained from in situ sensors. These procedures are intended to establish a framework to standardize the technical and analytical controls carried out on the three main types of in situ nutrient sensors currently available (wet chemical analyzers, ultraviolet optical sensors, electrochemical sensors) for their deployments on all kinds of platform. The routine reference controls that can be applied to the sensors are listed for each step of sensor use: initial qualification under controlled conditions in the laboratory, preparation of the sensor before deployment, field deployment and finally the sensor recovery. The fundamental principles applied to the laboratory reference method are then reviewed in terms of the calibration protocol, instrumental interferences, environmental interferences, external controls, and method performance assessment. Data corrections (linearity, sensitivity, drifts, interferences and outliers) are finally identified along with the concepts and calculations for qualification for both real time and time delayed data. This paper emphasizes the necessity of future collaborations between research groups, referenceaccredited laboratories, and technology developers, to maintain comparability of the concentrations reported for the various nutrient parameters measured by in situ sensors. - , - Refereed - , - 14 - , - Nutrients - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-07-30 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1197", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1197", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1197", "url": "https:\/\/hdl.handle.net\/11329\/1197" }, "author": [ { "@type": "Person", "name": "Daniel, Anne" }, { "@type": "Person", "name": "La\u00ebs-Huon, Agathe" }, { "@type": "Person", "name": "Barus, Carole" }, { "@type": "Person", "name": "Beaton, Alexander D." }, { "@type": "Person", "name": "Blandfort, Daniel" }, { "@type": "Person", "name": "Guigues, Nathalie" }, { "@type": "Person", "name": "Knockaert, Marc" }, { "@type": "Person", "name": "Muraron, Dominique" }, { "@type": "Person", "name": "Salter, Ian" }, { "@type": "Person", "name": "Woodward, E. Malcolm S." }, { "@type": "Person", "name": "Greenwood, Naomi" }, { "@type": "Person", "name": "Achterberg, Eric P." } ], "keywords": [ "Nutrient sensors", "In-situ sensors", "EOV", "Data comparability", "Marine biogeochemistry", "Ocean observing systems", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1374", "name": "Method for testing ocean pressure measuring instruments.", "description": " - This standard specifies the technical requirements, test items, test equipment and test methods of ocean pressure measuring instruments (hereinafter referred to as \u201cpressure measuring instruments\u201d). This standard is applicable to the first test, the subsequent test and the commission test of pressure measuring instruments. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1374", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1374", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1374", "url": "https:\/\/hdl.handle.net\/11329\/1374" }, "author": [ { "@type": "Person", "name": "Suo, Lili" }, { "@type": "Person", "name": "Wang, Jun" }, { "@type": "Person", "name": "Zhu, Haiqing" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Yue, Jin" }, { "@type": "Person", "name": "Che, Yachen" }, { "@type": "Person", "name": "Hu, Bo" }, { "@type": "Person", "name": "Zhao, Zhuoying" }, { "@type": "Person", "name": "Lan, Hui" } ], "contributor": [ { "@type": "Organization", "name": "Ministry of Natural Resources" } ], "keywords": [ "Ocean pressure", "Measurement", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/217", "name": "Ocean Data Standards Volume 2. Recommendation to adopt ISO 8601:2004 as the standard for the representation of dates and times in oceanographic data exchange.", "description": " - Date and time for Data Exchange International Standard ISO 8601:2004 Date and time representation. - , - Published - , - Oceanographic data standards - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/217", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/217", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/217", "url": "https:\/\/hdl.handle.net\/11329\/217" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "ISO Date\/time standard", "Data exchange", "Data storage", "Standards" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1187", "name": "Marine and coastal ecosystem-based risk management handbook.", "description": " - Management of any environmental issue requires the application of management measures designed to eliminate, control, mitigate, or compensate for pressures related to the drivers of human activities to avoid potential environmental effects. Management strategies are typically implemented in the form of regulations, policies, programmes, best management practices, standard operating procedures, management targets, and even stewardship and education, to name a few. In practice, environmental management measures target driver-specific pressures to reduce the risk of environmental effects and subsequent impacts on vulnerable ecosystems and environmental services. Particularly in the marine environment, the coastal zone is influenced by many drivers occurring within a very dynamic ecosystem, integrating land-based and marine influences. Already managed by a complex jurisdictional framework, each of these pressures can cause environmental effects individually or in combination with pressures from other drivers. From a simple management perspective, the challenge lies in identifying environmental management priorities that consider the most significant pressures and ecosystem vulnerabilities. Risk analysis and management are widely used in various management constructs from civil and mechanical engineering to food safety and human health. The World Trade Organization (WTO) has embedded risk analysis in the Agreement on the Application of Sanitary and Phytosanitary Measures, which considers the protection of human, animal, and plant health in products traded internationally. Among the types of risk analysis and management approaches studied, some are based on probabilistic models and others are more qualitative in nature. The International Organization for Standardization (ISO) also published a standard on risk management and risk assessment techniques. In this standard, the management of risks is based on identifying clearly the sources of these risks, analysing their consequences, and evaluating management options. Under the lead of a competent authority, the process includes communication and consultation with affected stakeholders as well as review and monitoring. In environmental management, the application of such risk management approaches provides assurance that management measures adequately protect the sustainability of the most vulnerable ecosystems and environmental services. Such a process not only assesses ecosystem risks, but aims to implement management measures and deploy resources to priorities of the highest ecosystem, social, cultural, economic, and policy risks. A key benefit of risk management frameworks and processes is also the identification and implementation of the most effective and efficient management measures based on existing scientific knowledge, legislation, and technologies. In this handbook, the ISO 31000 standard for risk management and risk assessment techniques is used as the basis for an ecosystem-based, risk management approach. Considered as \u201cevents\u201d, environmental effects are at the centre of this process, where the consequences can alter, disrupt, or even degrade ecosystems. This document bridges the ISO 31000 risk management framework with the ecosystem-based management approach used in environmental assessment, integrated coastal and oceans management, and marine spatial planning. Given the generic content of this framework, the intent of this document is to provide basic project planning blocks for any ecosystem-based management project. - , - Published - , - Authors:Amy Diedrich \u2022 Grete E. Dinesen \u2022 Julia Ekstrom \u2022 Clare Greathead Lorne Greig \u2022 Matthew Hardy \u2022 Erik Lizee \u2022 Raymond MacIssac Mary Metz \u2022 Erlend Moksness \u2022 Beatriz Morales-Nin Marc Ouellette \u2022Rafael Sard\u00e1 \u2022 David Scheltinga \u2022 Elizabeth R. Smith Vanessa Stelzenm\u00fcller \u2022 Josianne St\u00f8ttrup - , - Refereed - , - Current - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1187", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1187", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1187", "url": "https:\/\/hdl.handle.net\/11329\/1187" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Ecosystem-based management", "Science advice", "Stakeholder advice", "Risk assessment", "Coastal zone management", "Parameter Discipline::Environment", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/153", "name": "MIM Publication Series Vol. 3. Standard directory record structure for organizations, individuals and their research interests.", "description": " - In this manual a standard directory record structure is proposed, for use in the preparation of databases of organizations, individuals and their research interests. The structure is designed to be, as far as is possible, independent of the software used. However it is anticipated that the main use will be with the Unesco Mini-micro CDS\/ISIS software. Provision is made for additional fields for local needs. - , - Published - , - UKMERG, WIODIR, Common communication format, CCF, software standard structure, field list, field description, micro CDS\/ISIS - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/153", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/153", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/153", "url": "https:\/\/hdl.handle.net\/11329\/153" }, "author": [ { "@type": "Person", "name": "Moulder, D.S." }, { "@type": "Person", "name": "McFadden, C." }, { "@type": "Person", "name": "Pissierssens, P." }, { "@type": "Person", "name": "Reyniers, P." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine Information Management", "Information centres", "Information services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1160", "name": "Reference Model for the ORCHESTRA Architecture (RM-OA). Version 2 (Rev 2.1).", "description": " - This document specifies the Reference Model for the ORCHESTRA Architecture (RM-OA). It is an extension of the OGC Reference Model and contains a specification framework for the design of geospatial service-oriented architectures and service networks. The RM-OA comprises the generic aspects of service-oriented architectures, i.e., those aspects that are independent of the risk management domain and thus applicable to other application domains. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1160", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1160", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1160", "url": "https:\/\/hdl.handle.net\/11329\/1160" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/379", "name": "Collection and Measurement of Carbon Isotopes in Seawater DIC.", "description": " - The stable and radio-carbon isotopic content of seawater dissolved inorganic carbon (DI13C and DI14C, respectively) is measured by extracting the inorganic carbon as CO2 gas. A small portion of the gas is analyzed on a stable isotope ratio mass spectrometer and most of the gas is converted to graphite and inserted into an accelerator mass spectrometer where the number of 14C atoms are counted. The sampling procedure described below is straightforward, but it is important to stress the need for clean, careful sampling techniques to ensure an uncompromised sample. In order to minimize exchange with atmospheric CO2 , sample transfers must be as rapid as possible. The use of an accelerator mass spectrometer to measure 14C in seawater samples has greatly reduced the size of the sample required for the measurement, but it has also greatly increased the importance of collecting the sample in a clean, 14C-free, environment.... - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/379", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/379", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/379", "url": "https:\/\/hdl.handle.net\/11329\/379" }, "author": [ { "@type": "Person", "name": "McNichol, A.P" }, { "@type": "Person", "name": "Quay, P.D" }, { "@type": "Person", "name": "Gagnon, A.R" }, { "@type": "Person", "name": "Burton, J.R" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Chemical oceanography::Carbonate system", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2205", "name": "Coproducing Sea Ice Predictions with Stakeholders Using Simulation.", "description": " - Forecasts of sea ice evolution in the Arctic region for several months ahead can be of considerable socioeconomic value for a diverse range of marine sectors and for local community supply logistics. However, subseasonal-to-seasonal (S2S) forecasts represent a significant technical challenge, and translating user needs into scientifically manageable procedures and robust user confidence requires collaboration among a range of stakeholders. We developed and tested a novel, transdisciplinary coproduction approach that combined socioeconomic scenarios and participatory, research-driven simulation gaming to test a new S2S sea ice forecast system with experienced mariners in the cruise tourism sector. Our custom-developed computerized simulation game known as ICEWISE integrated sea ice parameters, forecast technology, and human factors as a participatory environment for stakeholder engagement. We explored the value of applications-relevant S2S sea ice prediction and linked uncertainty information. Results suggest that the usefulness of S2S services is currently most evident in schedule-dependent sectors but is expected to increase as a result of anticipated changes in the physical environment and continued growth in Arctic operations. Reliable communication of uncertainty information in sea ice forecasts must be demonstrated and trialed before users gain confidence in emerging services and technologies. Mariners' own intuition, experience, and familiarity with forecast service provider reputation impact the extent to which sea ice information may reduce uncertainties and risks for Arctic mariners. Our insights into the performance of the combined foresight\/simulation coproduction model in brokering knowledge across a range of domains demonstrates promise. We conclude with an overview of the potential contributions from S2S sea ice predictions and from experiential coproduction models to the development of decision-driven and science-informed climate services. - , - Refereed - , - 14.2 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2205", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2205", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2205", "url": "https:\/\/hdl.handle.net\/11329\/2205" }, "author": [ { "@type": "Person", "name": "Blair, Berill" }, { "@type": "Person", "name": "Mueller, Malte" }, { "@type": "Person", "name": "Palerme, Cyril" }, { "@type": "Person", "name": "Blair, Rayne" }, { "@type": "Person", "name": "Crookall, David" }, { "@type": "Person", "name": "Knol-Kauffman, Maaike" }, { "@type": "Person", "name": "Lamers, Machiel" } ], "keywords": [ "Seasonal forecasting", "Subseasonal variability", "Serious games", "Sea Ice", "Gaming", "Human activity", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2513", "name": "ISO 5667-26:2022. Water quality \u2014 Sampling Part 26: Guidance on sampling for the parameters of the oceanic carbon dioxide system. Edition 1.", "description": " - The oceanic carbonate system can be described by measuring at least two parameters of the following four parameters, total dissolved inorganic carbon (CT), total alkalinity (AT), fugacity of carbon dioxide (fCO2) and pH in seawater. This document describes how to collect and preserve discrete seawater samples, from a Niskin bottle or other water samplers, for the analysis of four measurable inorganic carbon parameters including: CT, AT, fCO2 and pH, according to highest standard levels accepted by global ocean carbon community. This document specifies how to collect discrete seawater samples, from a Niskin or other water sampler, that are suitable for the analysis of the four measurable inorganic carbon parameters: total dissolved inorganic carbon, total alkalinity, pH and CO2 fugacity. - , - Published - , - Refereed - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2513", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2513", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2513", "url": "https:\/\/hdl.handle.net\/11329\/2513" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Niskin bottle", "Water samplers", "Total dissolved inorganic carbon", "Total alkalinity,", "pH", "Carbon dioxide (CO2)", "Carbonate system", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1273", "name": "Evolving and Sustaining Ocean Best Practices Workshop III, 02\u2013 03 December 2019, UNESCO\/IOC Project Office for IODE, Oostende, Belgium: Proceedings.", "description": " - The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet\u2019s oceans must be a collaborative effort of both regional and global scale. The first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. In this document, \u201cocean observing\u201d are all activities of the value chain from preparing and conducting observations to impacts on society through applications of information. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean community and, where appropriate, should evolve into \u201cocean best practices\u201d or standards. The OBPS provides an opportunity space for the centralized and coordinated improvement of ocean observing methods. While many groups have created best practices, they are scattered across the Web or buried in local repositories and many have yet to be digitized. To reduce this fragmentation, there is now an open access, permanent, digital repository of best practices documentation (oceanbestpractices.org) that is part of the Ocean Best Practices System (OBPS). In addition to the repository, the OBPS includes a peer reviewed journal research topic, a forum for community discussion and a training activity for creating and using best practices. Together, these components serve to realize a core objective of the OBPS, which is to enable the ocean community to create superior methods for every activity in ocean observing from research to operations to applications that are agreed upon and broadly adopted across communities. The Ocean Best Practices Workshop has now become an annual event with Workshop I, Paris 2017 and Workshop II, Paris 2018. The 2019 Workshop III in Oostende encouraged maximum audience participation and was structured with hour-long panels followed by discussion. This format was effective in stimulating ideas and discussions to lay out a future vision of ocean best practices and how OBPS will contribute to improving ocean observing in the decade to come. Breakout Sessions were also a major part of the agenda, to provide opportunities for participants to share insights and importantly to make recommendations to the Panel on Vision for the Next Decade and ultimately the OBPS Steering Group. - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1273", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1273", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1273", "url": "https:\/\/hdl.handle.net\/11329\/1273" }, "author": [ { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Pearlman, Francoise" }, { "@type": "Person", "name": "Pearlman, Jay" } ], "contributor": [ { "@type": "Organization", "name": "IOC-IODE : GOOS and IEEE Oceanic Engineering Society" } ], "keywords": [ "Best practices", "Ocean Best Practices System", "International standards", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1599", "name": "Report on method for improved, gravimetric Winkler titration,", "description": " - This report presents a high-accuracy Winkler titration method that has been developed for determination of dissolved oxygen concentration. Careful analysis of uncertainty sources relevant to the Winkler method was carried out and the method was optimized for minimizing all uncertainty sources as far as practical. The most important improvements were: gravimetric measurement of all solutions, pre-titration to minimize the effect of iodine volatilization, accurate amperometric end point detection and careful accounting for dissolved oxygen in the reagents. As a result, the developed method is possibly the most accurate method of determination of dissolved oxygen available. Depending on measurement conditions and on the dissolved oxygen concentration the combined standard uncertainties of the method are in the range of 0.012 \u2013 0.018 mg dm-3 corresponding to the k = 2 expanded uncertainty in the range of 0.023 \u2013 0.035 mg dm-3 (0.27 \u2013 0.38%, relative). This development enables more accurate calibration of electrochemical and optical dissolved oxygen sensors for routine analysis than has been possible before. Most of this report is based on the article I.Helm, L.Jalukse, I. Leito, Anal. Chim. Acta. 741 (2012) 21-31. - , - European Metrology Research Programme (EMRP) - , - Published - , - Current - , - 14.a - , - Oxygen - , - Validated (tested by third parties) - , - Method - , - Description of a metrology standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1599", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1599", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1599", "url": "https:\/\/hdl.handle.net\/11329\/1599" }, "author": [ { "@type": "Person", "name": "Helm, Irja" }, { "@type": "Person", "name": "Jalukse, Lauri" }, { "@type": "Person", "name": "Leito, Ivo" } ], "contributor": [ { "@type": "Organization", "name": "University of Tartu, Institute of Chemistry," } ], "keywords": [ "Winkler method", "Dissolved oxygen", "Uncertainty quantification", "Primary method", "Dissolved gases" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1110", "name": "OGC\u00ae KML. Version 2.2.0.", "description": " - This is an OGC\u00ae Standard for encoding representations of geographic data for display in an earth browser. Suggested additions, changes, and comments on this draft report are welcome and encouraged. Such suggestions may be submitted by email message or by making suggested changes in an edited copy of this document. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1110", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1110", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1110", "url": "https:\/\/hdl.handle.net\/11329\/1110" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1571", "name": "CRYOMAR Protocol Toolbox. V.0. ASSEMBLE Plus, Deliverable 8.2.", "description": " - The aim of this report is to publish cryopreservation protocols developed and or standardized due to the Work Package 8 (JRA 2 CRYOMAR) coordinated research effort in cryobiology applied to the marine environment, as well as, stablishing the importance of the implementation of this biotechnology in the field of marine science alongside standardization of related protocols that have determinant influence of the quality of the cells pre-cryopreservation. - , - European Union H2020 - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1571", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1571", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1571", "url": "https:\/\/hdl.handle.net\/11329\/1571" }, "contributor": [ { "@type": "Organization", "name": "Universidade de Vigo for ASSEMBLE+" } ], "keywords": [ "Cryobiology", "Cryopreservation", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/425", "name": "Brokering architecture: the ODIP prototype model views. Version 1.1.", "description": " - The rationale of this document is to create a formal documentation of the Brokering architecture, proven successful in ODIP prototype 1+, as well as in several other real-world and prototype use cases, to serve as a best practice. Wider recognition and interest in the functionalities of this middleware (which is transparent by its nature) are expected as an outcome of this publication. ODIP Prototype 1+ (in the context of the Ocean Data Interoperability Platform Coordination and Support Action of the EU Research Infrastructures programme) aims at implementing interoperability between the following autonomous and distributed systems: SeaDataNet CDI, US NODC, and IMOS MCP. The prototype demonstrates data discovery and access services using a brokering middleware that is utilized by a couple of Web-portals:the global IODE-ODP and GEOSS portal. - , - Published - , - The spatial scope is not indicated, being ODIP broker scope global. SDG, EOV, instruments and parameters are not indicated as well, because the ODIP broker pose no constraint on particular values of these elements, supporting in principle all of them, depending on the actual brokered sources. With the currently brokered sources in ODIP the space of parameters is well covered. - , - Current - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/425", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/425", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/425", "url": "https:\/\/hdl.handle.net\/11329\/425" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Papeschi, Fabrizio" }, { "@type": "Person", "name": "Santoro, Mattia" }, { "@type": "Person", "name": "Roncella, Roberto" }, { "@type": "Person", "name": "Olivieri, Massimiliano" }, { "@type": "Person", "name": "Mazzetti, Paolo" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "CNR - Institute of Atmospheric Pollution Research, Florence Division for the ODIP Project" } ], "keywords": [ "Brokering approach", "ODIP", "Interoperability", "GI-suite", "CNR", "Data Management Practices::Data interoperability development", "Data Management Practices::Data search and retrieval", "Data Management Practices::Data transformation\/conversion", "Data Management Practices::Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1503", "name": "The \u201cJERICO Label\u201d, WP2: Harmonization of technologies and methodologies - technical strategy. Deliverable D2.7. Version 2.", "description": " - This document summarizes the work done on the JERICO-Label in JERICO-NEXT, from the perspective mainly of the development of some of its \u201ctechnical\u201d aspects. The activity reported on forms part of Work Package 2 (\u201cHarmonization of technologies and methodologies - technical strategy\u201c) of the project \u2013 specifically, Task 2.6 (\u201cThe JERICO Label Technical Committee\u201d). This task gathered together 16 partners from 11 European countries (Italy, Finland Germany, France, Norway, UK, Greece, Sweden, Spain, Sweden, and the Netherlands), and was co-led by two of them, OGS and HCMR. - , - Published - , - Contributors: S. Sparnocchia, A. King, J. Seppala, L. Laakso, K. O. Moller, G. Petihakis, W. Petersen, A. Blauw. - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1503", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1503", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1503", "url": "https:\/\/hdl.handle.net\/11329\/1503" }, "author": [ { "@type": "Person", "name": "Nair, R." }, { "@type": "Person", "name": "Puillat, I." }, { "@type": "Person", "name": "Delauney, L." } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO NEXT" } ], "keywords": [ "Harmonization", "Interoperability", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1182", "name": "Novel metrics based on Biogeochemical Argo data to improve the model uncertainty evaluation of the CMEMS Mediterranean marine ecosystem forecasts.", "description": " - The quality of the upgraded version of the Copernicus Marine Environment Monitoring Service (CMEMS) biogeochemical operational system of the Mediterranean Sea (MedBFM) is assessed in terms of consistency and forecast skill, following a mixed validation protocol that exploits different reference data from satellite, oceanographic databases, Biogeochemical Argo floats, and literature. We show that the quality of the MedBFM system has been improved in the previous 10 years. We demonstrate that a set of metrics based on the GODAE (Global Ocean Data Assimilation Experiment) paradigm can be efficiently applied to validate an operational model system for biogeochemical and ecosystem forecasts. The accuracy of the CMEMS biogeochemical products for the Mediterranean Sea can be achieved from basin-wide and seasonal scales to mesoscale and weekly scales, and its level depends on the specific variable and the availability of reference data, the latter being an important prerequisite to build robust statistics. In particular, the use of the Biogeochemical Argo floats data proved to significantly enhance the validation framework of operational biogeochemical models. New skill metrics, aimed to assess key biogeochemical processes and dynamics (e.g. deep chlorophyll maximum depth, nitracline depth), can be easily implemented to routinely monitor the quality of the products and highlight possible anomalies through the comparison of near-real-time (NRT) forecasts skill with pre-operationally defined seasonal benchmarks. Feedbacks to the observing autonomous systems in terms of quality control and deployment strategy are also discussed. - , - This article is part of the special issue \u201cThe Copernicus Marine Environment Monitoring Service (CMEMS): scientific advances\u201d. It is not associated with a conference. - , - Refereed - , - 14 - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1182", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1182", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1182", "url": "https:\/\/hdl.handle.net\/11329\/1182" }, "author": [ { "@type": "Person", "name": "Salon, Stefano" }, { "@type": "Person", "name": "Cossarini, Gianpiero" }, { "@type": "Person", "name": "Bolzon, Giorgio" }, { "@type": "Person", "name": "Feudale, Laura" }, { "@type": "Person", "name": "Lazzari, Paolo" }, { "@type": "Person", "name": "Teruzzi, Anna" }, { "@type": "Person", "name": "Solidoro, Cosimo" }, { "@type": "Person", "name": "Crise, Alessandro" } ], "keywords": [ "Biogeochemical modeling", "Copernicus Marine Environment Monitoring Service (CMEMS)", "GODAE", "Biogeochemical Argo floats", "Argo floats", "Data validation", "Model uncertainty", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2261", "name": "A versatile marine modelling tool applied to arctic, temperate and tropical waters.", "description": " - The improved understanding of complex interactions of marine ecosystem components makes the use of fully coupled hydrodynamic, biogeochemical and individual based models more and more relevant. At the same time, the increasing complexity of the models and diverse user backgrounds calls for improved user friendliness and flexibility of the model systems. We present FlexSem, a versatile and user-friendly framework for 3D hydrodynamic, biogeochemical, individual based and sediment transport modelling. The purpose of the framework is to enable natural scientists to conduct advanced 3D simulations in the marine environment, including any relevant processes. This is made possible by providing a precompiled portable framework, which still enables the user to pick any combination of models and provide user defined equation systems to be solved during the simulation. We here present the ideas behind the framework design, the implementation and documentation of the numerical solution to the Navier-Stokes equations in the hydrodynamic module, the surface heat budget model, the pelagic and benthic equation solvers and the Lagrangian movement of the agents in the agent based model. Five examples of different applications of the system are shown: 1) Hydrodynamics in the Disko Bay in west Greenland, 2) A biogeochemical pelagic and benthic model in the inner Danish waters, 3) A generic mussel farm model featuring offline physics, food levels and mussel eco-physiology, 4) Sediment transport in Clarion-Clipperton zone at the bottom of the Pacific and 5) Hydrodynamics coupled with an agent based model around Zanzibar in Tanzania. Hence we demonstrate that the model can be set up for any area with enough forcing data and used to solve a wide range of applications. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Sediments - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2261", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2261", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2261", "url": "https:\/\/hdl.handle.net\/11329\/2261" }, "author": [ { "@type": "Person", "name": "Larsen, Janus" }, { "@type": "Person", "name": "Mohn, Christian" }, { "@type": "Person", "name": "Pastor, Ane" }, { "@type": "Person", "name": "Maar, Marie" } ], "keywords": [ "Hydrodynamic modelling", "Other physical oceanographic measurements", "Data exchange", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1138", "name": "OGC GeoAPI 3.0.1 Implementation Standard \u2013 with Corrigendum. Version 3.0.1.", "description": " - The GeoAPI Implementation Standard defines, through the GeoAPI library, a Java language application programming interface (API) including a set of types and methods which can be used for the manipulation of geographic information structured following the specifications adopted by the Technical Committee 211 of the International Organization for Standardization (ISO) and by the Open Geospatial Consortium (OGC). This standard standardizes the informatics contract between the client code which manipulates normalized data structures of geographic information based on the published API and the library code able both to instantiate and operate on these data structures according to the rules required by the published API and by the ISO and OGC standards. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1138", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1138", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1138", "url": "https:\/\/hdl.handle.net\/11329\/1138" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Implementation Standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2093", "name": "BBI: an R package for the computation of Benthic Biotic Indices from composition data.", "description": " - The monitoring of impacts of anthropic activities in marine environments, such as aquaculture, oil-drilling platforms or deep-sea mining, relies on Benthic Biotic Indices (BBI). Several indices have been formalised to reduce the multivariate composition data into a single continuous value that is ascribed to a discrete ecological quality status. Such composition data is traditionally obtained from macrofaunal inventories, which is time-consuming and expertise-demanding. Important efforts are ongoing towards using High-Throughput Sequencing of environmental DNA (eDNA metabarcoding) to replace or complement morpho-taxonomic surveys for routine biomonitoring. The computation of BBI from such composition data is usually being undertaken by practitioners with excel spreadsheets or through custom script. Hence, the updating of reference morpho-taxonomic tables and cross studies comparison could be hampered. Here we introduce the R package BBI for the computation of BBI from composition data, either obtained from traditional morpho-taxonomic inventories or from metabarcoding data. Its aim is to provide an open-source, transparent and centralised method to compute BBI for routine biomonitoring. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2093", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2093", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2093", "url": "https:\/\/hdl.handle.net\/11329\/2093" }, "author": [ { "@type": "Person", "name": "Cordier, Tristan" }, { "@type": "Person", "name": "Pawlowski, Jan" } ], "keywords": [ "Biotic indices", "Biomonitoring", "R package", "Benthos", "Composition data", "Biota composition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/949", "name": "Quality Control procedures for IMOS Ocean Radar Manual, Version 2.0. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-693]", "description": " - This document is the IMOS Ocean Radar Facility quality-control and data user\u2019s manual. The Ocean Radar Facility is a component of Australia\u2019s Integrated Marine Observing System (IMOS). The document contains the description of the data stream, the data products, the data formats and the data quality control procedures for real-time (RT) and delayed-mode (DM) data produced by the Facility. - , - Published - , - Refereed - , - Superceded - , - 14 - , - Surface currents - , - Sea state - , - Ocean surface stress - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/949", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/949", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/949", "url": "https:\/\/hdl.handle.net\/11329\/949" }, "author": [ { "@type": "Person", "name": "Cosoli, Simone" }, { "@type": "Person", "name": "Grcic, Badema" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Waves", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Atmosphere::Meteorology", "Instrument Type Vocabulary::surface current radars", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2481", "name": "Good Practice Guidelines for Hydrographic Surveys in New Zealand Ports and Harbours.", "description": " - These guidelines provide guidance to decision-makers and operators for planning, carrying out and managing hydrographic surveys that: \uf0b7 support the safe navigation of vessels in New Zealand ports and harbours \uf0b7 help to protect our marine environment. The guidelines have been produced by Maritime New Zealand (Maritime NZ) and the New Zealand Hydrographic Authority, Land information New Zealand (LINZ). They are one of a series of guideline documents that support the New Zealand Port and Harbour Marine Safety Code 2020 (the Code) published by Maritime NZ. These guidelines are authorised under the Code. The Code is a voluntary national standard for the safe management of marine activities in New Zealand ports and harbours, and supports national and local legislation. The Code applies to: \uf0b7 operators of commercial ports \uf0b7 councils, as local regulators of maritime activity within their regional waters \uf0b7 Maritime NZ, as the national regulator of maritime safety and marine protection. The objective of the Code is to ensure the safe management of ships navigating in New Zealand ports and harbours, including the prevention of: \uf0b7 injury to people or loss of life \uf0b7 damage to the environment, particularly to the marine environment, but also to property. These guidelines inform and support all those involved in decision-making processes for planning, contracting, specifying and conducting hydrographic surveys in New Zealand ports and harbours. There are three core sections to the guidelines. \uf0b7 Section 2 is an overview for councils and port operators who are responsible for navigational safety of New Zealand ports and harbours. \uf0b7 Section 3 is guidance for harbourmasters, port engineers and surveyors who are responsible for managing surveys. \uf0b7 Section 4 is guidance for hydrographic surveyors who provide hydrographic survey services to councils and port operators. Annex 1 has extracts from the Code relevant to hydrographic surveying and Annex 2 gives information on Category of Zone of Confidence (CATZOC). - , - Published - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2481", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2481", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2481", "url": "https:\/\/hdl.handle.net\/11329\/2481" }, "contributor": [ { "@type": "Organization", "name": "New Zealand Government" } ], "keywords": [ "Hydrographic surveying", "Port operations", "Harbour operations", "Other physical oceanographic measurements", "Gravity, magnetics and bathymetry", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/346", "name": "Argo User's Manual, Version 3.2. December 29th 2015. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-35]", "description": " - This document is the Argo data user\u2019s manual. It contains the description of the formats and files produced by the Argo Data Assembly Centres (DACs). - , - Argo funding mechanisms differ widely between counties and involve over 50 research and operational agencies. Each national program has its own priorities but all nations subscribe to the goal of building the global array and to Argo's open data policy. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/346", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/346", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/346", "url": "https:\/\/hdl.handle.net\/11329\/346" }, "author": [ { "@type": "Person", "name": "Carval, Thierry" }, { "@type": "Person", "name": "Keeley, Bob" }, { "@type": "Person", "name": "Takatsuki, Yasushi" }, { "@type": "Person", "name": "Yoshida, Takashi" }, { "@type": "Person", "name": "Loch, Stephen" }, { "@type": "Person", "name": "Schmid, Claudia" }, { "@type": "Person", "name": "Goldsmith, Roger" }, { "@type": "Person", "name": "Wong, Annie" }, { "@type": "Person", "name": "McCreadie, Rebecca" }, { "@type": "Person", "name": "Thresher, Ann" }, { "@type": "Person", "name": "Tran, Anh" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Instrument Type Vocabulary::Argos GPS-localised transmitters", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/643", "name": "Evaluation of methods to concentrate and purify ocean virus communities through comparative, replicated metagenomics.", "description": " - Viruses have global impact through mortality, nutrient cycling and horizontal gene transfer, yet their study is limited by complex methodologies with little validation. Here, we use triplicate metagenomes to compare common aquatic viral concentration and purification methods across four combinations as follows: (i) tangential flow filtration (TFF) and DNase\u2003+\u2003CsCl, (ii) FeCl3 precipitation and DNase, (iii) FeCl3 precipitation and DNase\u2003+\u2003CsCl and (iv) FeCl3 precipitation and DNase\u2003+\u2003sucrose. Taxonomic data (30% of reads) suggested that purification methods were statistically indistinguishable at any taxonomic level while concentration methods were significantly different at family and genus levels. Specifically, TFF\u2010concentrated viral metagenomes had significantly fewer abundant viral types (Podoviridae and Phycodnaviridae) and more variability among Myoviridae than FeCl3\u2010precipitated viral metagenomes. More comprehensive analyses using protein clusters (66% of reads) and k\u2010mers (100% of reads) showed 50\u201353% of these data were common to all four methods, and revealed trace bacterial DNA contamination in TFF\u2010concentrated metagenomes and one of three replicates concentrated using FeCl3 and purified by DNase alone. Shared k\u2010mer analyses also revealed that polymerases used in amplification impact the resulting metagenomes, with TaKaRa enriching for \u2018rare\u2019 reads relative to PfuTurbo. Together these results provide empirical data for making experimental design decisions in culture\u2010independent viral ecology studies. - , - Refereed - , - Microbe biomass and diversity - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/643", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/643", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/643", "url": "https:\/\/hdl.handle.net\/11329\/643" }, "author": [ { "@type": "Person", "name": "Hurwitz, Bonnie L." }, { "@type": "Person", "name": "Deng, Li" }, { "@type": "Person", "name": "Poulos, Bonnie T." }, { "@type": "Person", "name": "Sullivan, Matthew B." } ], "keywords": [ "Parameter Discipline::Biological oceanography::Bacteria and viruses" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2084", "name": "Polar Region Bathymetry: Critical Knowledge for the Prediction of Global Sea Level Rise.", "description": " - The ocean and the marine parts of the cryosphere interact directly with, and are affected by, the seafloor and its primary properties of depth (bathymetry) and shape (morphology) in many ways. Bottom currents are largely constrained by undersea terrain with consequences for both regional and global heat transport. Deep ocean mixing is controlled by seafloor roughness, and the bathymetry directly influences where marine outlet glaciers are susceptible to the inflow relatively warm subsurface waters - an issue of great importance for ice-sheet discharge, i.e., the loss of mass from calving and undersea melting. Mass loss from glaciers and the Greenland and Antarctic ice sheets, is among the primary drivers of global sea-level rise, together now contributing more to sea-level rise than the thermal expansion of the ocean. Recent research suggests that the upper bounds of predicted sea-level rise by the year 2100 under the scenarios presented in IPCC\u2019s Special Report on the Ocean and Cryosphere in a Changing Climate (SROCCC) likely are conservative because of the many unknowns regarding ice dynamics. In this paper we highlight the poorly mapped seafloor in the Polar regions as a critical knowledge gap that needs to be filled to move marine cryosphere science forward and produce improved understanding of the factors impacting ice-discharge and, with that, improved predictions of, among other things, global sea-level.We analyze the bathymetric data coverage in the Arctic Ocean specifically and use the results to discuss challenges that must be overcome to map the most remotely located areas in the Polar regions in general - , - Refereed - , - 14.a - , - Sea surface height - , - 2022-01-17 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2084", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2084", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2084", "url": "https:\/\/hdl.handle.net\/11329\/2084" }, "author": [ { "@type": "Person", "name": "Jakobsson, Martin" }, { "@type": "Person", "name": "Mayer, Larry A." } ], "keywords": [ "Bathymetry", "Ocean mapping", "Cryosphere", "Sea level rise", "Sea level", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1652", "name": "Listening forward: approaching marine biodiversity assessments using acoustic methods.", "description": " - Ecosystems and the communities they support are changing at alarmingly rapid rates. Tracking species diversity is vital to managing these stressed habitats. Yet, quantifying and monitoring biodiversity is often challenging, especially in ocean habitats. Given that many animals make sounds, these cues travel efficiently under water, and emerging technologies are increasingly cost-effective, passive acoustics (a long-standing ocean observation method) is now a potential means of quantifying and monitoring marine biodiversity. Properly applying acoustics for biodiversity assessments is vital. Our goal here is to provide a timely consideration of emerging methods using passive acoustics to measure marine biodiversity. We provide a summary of the brief history of using passive acoustics to assess marine biodiversity and community structure, a critical assessment of the challenges faced, and outline recommended practices and considerations for acoustic biodiversity measurements. We focused on temperate and tropical seas, where much of the acoustic biodiversity work has been conducted. Overall, we suggest a cautious approach to applying current acoustic indices to assess marine biodiversity. - , - Refereed - , - N\/A - , - Novel (no adoption outside originators) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1652", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1652", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1652", "url": "https:\/\/hdl.handle.net\/11329\/1652" }, "author": [ { "@type": "Person", "name": "Mooney, T. Aran" }, { "@type": "Person", "name": "Di Iorio, Lucia" }, { "@type": "Person", "name": "Lammers, Marc" }, { "@type": "Person", "name": "Lin, Tzu-Hao" }, { "@type": "Person", "name": "Nedelec, Sophie L." }, { "@type": "Person", "name": "Parsons, Miles" }, { "@type": "Person", "name": "Radford, Craig" }, { "@type": "Person", "name": "Urban, Ed" }, { "@type": "Person", "name": "Stanley, Jenni" } ], "keywords": [ "Soundscape", "Bioacoustics", "Ecosystem health", "Acoustic biodiversity", "Animal tracking", "Biota abundance, biomass and diversity", "acoustic tracking systems" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2194", "name": "Oligotrophy and pelagic marine bacteria: Facts and fiction.", "description": " - Oligotrophy, or the inability of bacterial cells to propagate at elevated nutrient concentrations, is a controversial phenomenon in microbiology. The exact cause of the unculturability of many indigenous marine bacteria on standard laboratory media has still not been resolved. Unfortunately the physiology of such cells is difficult to investigate as long as high cell density cultures cannot be obtained. An extensive evaluation of experiments relating to oligotrophy and the cultivation of marine bacteria is presented in this review. When incorporating the findings of studies performed with molecular biological methods, the picture emerges that indigenous marine bacteria can be cultivated under certain conditions and that the 'oligotrophic way of life' is a transient characteristic. Although strong generalisations should not be made with respect to a biological system as diverse as the world's oceans, it should be anticipated that cells with unique physiological characteristics appear to exist in the oceanic system. When combining conventional physiological approaches with molecular biological techniques it is feasible to unveil the phenotypes that go with the encountered genotypes. In view of the enormous complexity of the oceanic system this will prove an ambitious, yet resourceful undertaking. - , - Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2194", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2194", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2194", "url": "https:\/\/hdl.handle.net\/11329\/2194" }, "author": [ { "@type": "Person", "name": "Schut, Frits" }, { "@type": "Person", "name": "Prins, Rudolf A." }, { "@type": "Person", "name": "Gottschal, Jan C." } ], "keywords": [ "Oligotrophy", "Unculturable bacteria", "Uptake kinetics", "Marine bacteria", "Isolation procedures", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1643", "name": "Fishing Gear as a Data Collection Platform: Opportunities to Fill Spatial and Temporal Gaps in Operational Sub-Surface Observation Networks.", "description": " - While the observation of the open ocean is well achieved by automated ocean measurement instruments, coastal and shelf seas suffer the lack of sub-surface collection platforms. Commercial fishing gear such as bottom trawls, pots, traps and long lines can act as platforms for sensors, which collect physical oceanographic data concurrently with normal fishing operations. The lack of observed in situ ocean data in coastal and shelf seas limits operational oceanography, weather forecasting, maritime industries, and climate change monitoring. In addition, using fishing gear as an ocean observation platform has auxiliary benefits for fisheries management including stakeholder involvement. This study quantifies and compares the existing sub-surface in situ data coverage with the spatial distribution of fishing activities. The results show that integration with fishing could contribute to filling some of the most pressing gaps in existing ocean observation systems in coastal and shelf seas. There are limitations related to opportunistic data collection, mainly related to spatial and temporal heterogeneity of fishing activities. However, we make the case that fisherybased observations have the potential to complement existing ocean observing systems in areas where oceanographic data are lacking and needed most in order to ensure long term sustainability of ocean monitoring. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1643", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1643", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1643", "url": "https:\/\/hdl.handle.net\/11329\/1643" }, "author": [ { "@type": "Person", "name": "Van Vranken, C." }, { "@type": "Person", "name": "Vastenhoud, B.M.J." }, { "@type": "Person", "name": "Manning, J.P." }, { "@type": "Person", "name": "Plet-Hansen, K.S." }, { "@type": "Person", "name": "Jakoboski, J." }, { "@type": "Person", "name": "Gorringe, P." }, { "@type": "Person", "name": "Martinelli, M." } ], "keywords": [ "Ships of Opportunity", "Shelf seas", "Data gaps", "Ocean observation networks", "Science-industry cooperation", "Fisheries", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2582", "name": "System Description and Procedures for Moored Biogeochemical Measurements Manual. Version 1.0.", "description": " - This document serves as the description and quality-control manual for the IMOS Acidification Moorings Sub-Facility, a component of IMOS's National Mooring Network. It includes details on mooring locations, mooring design, measurement sequences, QA\/QC procedures, data calculation and reduction procedures, and sensor specifications. The quality-controlled datasets are accessible to the public through the AODN Portal and SOCAT. Users are encouraged to consult this document when utilising the data. - , - Published - , - Refereed - , - Current - , - 14.3 - , - Oxygen - , - Surface temperature - , - Surface salinity - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - International - , - Carbon dioxide - , - pH - , - CO2 flux - , - Surface CO2 - , - Battelle MApCO2 - , - LI-COR 820 NDIR - , - Sensirion Humidity Sensor SHT71 - , - Aanderaa Optode 3835, 4175,4175C - , - Sea-Bird Electronics SBE16plusV2 - , - Sea-Bird Electronics SeaFET - , - Sea-Bird Electronics SeapHOx - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2582", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2582", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2582", "url": "https:\/\/hdl.handle.net\/11329\/2582" }, "author": [ { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "van Ooijen, Erik" } ], "keywords": [ "Carbonate system", "pH sensors", "CTD", "dissolved gas sensors", "salinity sensor", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/390", "name": "How to process mooring data? A cookbook for MicroCat, ADCP and RCM data.", "description": " - This data report summarizes the processing steps that have been undertaken to cali- brate\/process the physical data (temperature, salinity, currents) collected at three moor- ing sites in the Northeast Atlantic within the EU FP5 Project - ANIMATE. The goal of the data processing is to provide a consistent quality controlled data set. The data set should contain so called \u2019metadata\u2019 that allow to verify the processing steps that has been performed to convert the raw data to the processed data. The calibration of other than physical data collected at the sites will be reported else- where. The physical sensors, the data measured and derived parameters addressed in this report are: MicroCAT Temperature,conductivity,(someinstruments:pressure),salinity TD-Logger Temperature, pressure ADCP (Acoustic Doppler Current Profiler) Currents, depth of the instrument RCM (Rotor Current Meters) Currents, (some instruments: temperature, pressure) - , - Submitted - , - With instrument type - I mean a specific CTD which is a self-contained CTD (Microcat); DOI link is to copy on ResearchGate - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/390", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/390", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/390", "url": "https:\/\/hdl.handle.net\/11329\/390" }, "author": [ { "@type": "Person", "name": "Karstensen, Johannes" } ], "contributor": [ { "@type": "Organization", "name": "IFM-GEOMAR, Universitat Kiel" } ], "keywords": [ "ADCP", "ANIMATE: Atlantic Network of Interdisciplinary Moorings and Time series for Europe", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data quality control", "Data Management Practices::Data processing", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1067", "name": "OGC\u00ae GML in JPEG 2000 (GMLJP2) Encoding Standard Part 1: Core - with Corrigendum, Version 2.0.1.", "description": " - This standard applies to the encoding and decoding of JPEG 2000 images that contain GML for use with geographic imagery. This document specifies the use of the Geography Markup Language (GML) within the XML boxes of the JPEG 2000 data format and provides an application schema for JPEG 2000 that can be extended to include geometrical feature descriptions and annotations. The document also specifies the encoding and packaging rules for GML use in JPEG 2000. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1067", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1067", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1067", "url": "https:\/\/hdl.handle.net\/11329\/1067" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1841", "name": "NeXOS - Next generation, Cost-effective, Compact, Multifunctional Web Enabled Ocean Sensor Systems.", "description": " - Ocean processes are of biological, geological, chemical or physical nature, occurring at micro - to kilometer scales, from less than seconds to centuries, turning the understanding and the sustainable management of the ocean into a multi-scale and multi-disciplinary effort. To address this variability with a cost-effective solution, the European FP7 project NeXOS has developed a new generation of multifunctional, compact, interoperable and Web enabled optical and acoustical sensor systems as well as sensors for fisheries management. These sensor systems have been designed, built, tested and validated in a number of platforms using scenarios that are demonstrations of applications for long-term implementation. The performance validations have been carried out during 2017 and the most updated results are provided in this paper. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1841", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1841", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1841", "url": "https:\/\/hdl.handle.net\/11329\/1841" }, "author": [ { "@type": "Person", "name": "Mem\u00e8, Simone" }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Felgines, Matthieu" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Pearlman, Francoise" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "Masmitja, Ivan" }, { "@type": "Person", "name": "Gille, Johan" }, { "@type": "Person", "name": "Rolin, Jean-Francois" }, { "@type": "Person", "name": "Golmen, Lars" }, { "@type": "Person", "name": "Hareide, Nils Roar" }, { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Zielinski, Oliver" } ], "contributor": [ { "@type": "Organization", "name": "IEEE" } ], "keywords": [ "NEXOS Project", "Multifunctional ocean sensors", "Cost- efficiency", "Interoperability", "GEOSS", "GOOS", "Optical sensors", "Polycyclic Aromatic Hydrocarbons", "Underwater sound", "Hydrophones", "Fisheries management", "RECOPESCA", "Sensor Web", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2587", "name": "Train-the-Trainer Concept on Research Data Management, Version 5.1.", "description": " - This version of the 'Train-the-Trainer Concept on Research Data Management' is the English translation of the fifth updated version of the German version https:\/\/doi.org\/10.5281\/Zenodo.10122153. The translation of the concept resulted from the need to address the ongoing internationalisation of science in Germany and the fact that researchers are increasingly communicating in English. Building individual skills in research data management and training multipliers in English is therefore becoming even more important. Due to the existence of the National Research Data Infrastructure (NFDI) with its subject-specific consortia, the newly approved Clusters of Excellence and Collaborative Research Centres, the need for qualified staff is growing immensely. This also applies to universities and research institutions in general. For this version, the content of all units has been revised and experiences acquired from previous online Train-the-Trainer Workshops have been integrated into the concept. This concept thus provides new, more detailed information for already experienced Research Data Management (RDM) professionals. This train-the-trainer concept addresses RDM topics in an inspirational way and delivers teaching methods at the same time. Furthermore, topics such as diversity and barrier-reduced teaching materials are addressed to create an engaging learning environment. Please note that some of the content and included materials cover specific issues that only apply to the German science community. We hope that readers of this translated version of the concept will receive useful and informative insights in the field of research data management - , - Published - , - English version of: Train-the-Trainer-Konzept zum Thema Forschungsdatenmanagement Version 5 This translation was created with ChatGPT, edited and reviewed by Andrew Rennison financed by EUniWell. - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2587", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2587", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2587", "url": "https:\/\/hdl.handle.net\/11329\/2587" }, "author": [ { "@type": "Person", "name": "Biernacka, Katarzyna" }, { "@type": "Person", "name": "Castillo Upiachihua, Claudia Beatriz" }, { "@type": "Person", "name": "Dockhorn, Ron" }, { "@type": "Person", "name": "Engelhardt, Claudia" }, { "@type": "Person", "name": "Grunwald-Eckhardt, Laura" }, { "@type": "Person", "name": "Helbig, Kerstin" }, { "@type": "Person", "name": "Jacob, Juliane" }, { "@type": "Person", "name": "Kalov\u00e1, Tereza" }, { "@type": "Person", "name": "Karsten, Adienne" }, { "@type": "Person", "name": "Meier, Kristin" }, { "@type": "Person", "name": "M\u00fchlichen, Andreas" }, { "@type": "Person", "name": "Neumann, Janna" }, { "@type": "Person", "name": "Petersen, Britta" }, { "@type": "Person", "name": "Scherreiks, Pasca" }, { "@type": "Person", "name": "Slowig, Benjamin" }, { "@type": "Person", "name": "Trautwein-Bruns, Ute" }, { "@type": "Person", "name": "Wilbrandt, Jeanne" }, { "@type": "Person", "name": "Wiljes, Cord" } ], "contributor": [ { "@type": "Organization", "name": "Sub-WG Training\/Further Education of the DINI\/nestor WG Research Data" } ], "keywords": [ "Research data management (RDM)", "Training", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1244", "name": "Manual for Real-Time Quality Control of In-Situ Surface Wave Data: A Guide to Quality Control and Quality Assurance of In-Situ Surface Wave Observations Version 2.1. [ENDORSED PRACTICE]", "description": " - This manual documents a series of test procedures for data QC of in-situ surface wave sensors. In-situ wave observations covered by these procedures are collected in real time as a measure of wave characteristics (wave height, wave period, and wave direction) in oceans and lakes. The manual was first published in June 2013 and updated in 2015. - , - U.S. IOOS - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea state - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1244", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1244", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1244", "url": "https:\/\/hdl.handle.net\/11329\/1244" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "QARTOD", "IOOS", "Quality assurance", "Surface wave measurement", "Wave data", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::wave recorders", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1449", "name": "Quantifying Uncertainty in Analytical Measurement, 3rd Edition.", "description": " - This Guide gives detailed guidance for the evaluation and expression of uncertainty in quantitative chemical analysis, based on the approach taken in the ISO \u201cGuide to the Expression of Uncertainty in Measurement\u201d [H.2]. It is applicable at all levels of accuracy and in all fields - from routine analysis to basic research and to empirical and rational methods (sees section 5.5.). Some common areas in which chemical measurements are needed, and in which the principles of this Guide may be applied, are: \u2022 Quality control and quality assurance in manufacturing industries. \u2022 Testing for regulatory compliance. \u2022 Testing utilising an agreed method. \u2022 Calibration of standards and equipment. \u2022 Measurements associated with the development and certification of reference materials. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1449", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1449", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1449", "url": "https:\/\/hdl.handle.net\/11329\/1449" }, "contributor": [ { "@type": "Organization", "name": "Eurachem\/CITAC" } ], "keywords": [ "Uncertainty quantification", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2215", "name": "Influence of crude oil on changes of bacterial communities in Arctic sea-ice.", "description": " - The danger of a petroleum hydrocarbon spillage in the polar, ice-covered regions is increasing due to oil exploration in Arctic offshore areas and a growing interest in using the Northern Sea Route (NSR) as an alternative transportation route for Arctic oil and gas. However, little is known about the potential impact of accidental oil spills on this environment. We investigated the impact of crude oil on microbial community composition in six different Arctic sea-ice samples incubated with crude oil at 1 degrees C in microcosms for one year. Alterations in the composition of bacterial communities were analyzed with the culture-independent molecular methods DGGE (denaturing gradient gel electrophoresis) and FISH (fluorescence in situ hybridization). DGGE, FISH and cultivation methods revealed a strong shift in community composition toward the gamma-proteobacteria in sea-ice and melt pool samples incubated with crude oil. Marinobacter spp., Shewanella spp. and Pseudomonas spp. were the predominant phylotypes in the oil-trealed microcosms. The ability of indigenous sea-ice bacteria to degrade hydrocarbons at low temperature (1 degrees C) was tested using four representative strains cultivated from sea-ice enriched with crude oil. [C-14]Hexadecane was degraded by the sea-ice isolates at 20-50% capacity of the mesophilic type strain Marinobacter hydrocarbonoclasticus, a known hydrocarbon degrader, incubated at 22 degrees C. (c) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2215", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2215", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2215", "url": "https:\/\/hdl.handle.net\/11329\/2215" }, "author": [ { "@type": "Person", "name": "Gerdes, Birte" }, { "@type": "Person", "name": "Brinkmeyer, Robin" }, { "@type": "Person", "name": "Dieckmann, Gerhard" }, { "@type": "Person", "name": "Helmke, Elisabeth" } ], "keywords": [ "Sea Ice", "Oil pollution", "Oil degradation", "Hydrocarbons", "Low temperature", "Bacterial communities", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1052", "name": "Volume 1: OGC CDB Core Standard: Model and Physical Data Store Structure, Version 1.0.", "description": " - The CDB standard defines a standardized model and structure for a single, versionable, virtual representation of the earth. A CDB structured data store provides for a geospatial content and model definition repository that is plug-and-play interoperable between database authoring workstations. Moreover, a CDB structured data store can be used as a common online (or runtime) repository from which various simulator client-devices can simultaneously retrieve and modify, in real-time, relevant information to perform their respective runtime simulation tasks. In this case, a CDB is plug-and-play interoperable between CDB-compliant simulators. A CDB can be readily used by existing simulation client-devices (legacy Image Generators, Radar simulator, Computer Generated Forces, etc.) through a data publishing process that is performed on-demand in real-time. The application of CDB to future simulation architectures will significantly reduce runtimesource level and algorithmic correlation errors, while reducing development, update and configuration management timelines. With the addition of the High Level Architecture - - Federation Object Model (HLA\/FOM)1 and DIS protocols, the application of the CDB standard provides a Common Environment to which inter-connected simulators share a common view of the simulated environment. The CDB standard defines an open format for the storage, access and modification of a synthetic environment database. A synthetic environment is a computer simulation that represents activities at a high level of realism, from simulation of theaters of war to factories and manufacturing processes. These environments may be created within a single computer or a vast distributed network connected by local and wide area networks and augmented by super-realistic special effects and accurate behavioral models. SE allows visualization of and immersion into the environment being simulated2. This standard defines the organization and storage structure of a worldwide synthetic representation of the earth as well as the conventions necessary to support all of the subsystems of a full-mission simulator. The standard makes use of several commercial and simulation data formats endorsed by leaders of the database tools industry. A series of associated OGC Best Practice documents define rules and guidelines for data representation of real world features. The CDB synthetic environment is a representation of the natural environment including external features such as man-made structures and systems. A CDB data store can include terrain relief, terrain imagery, three-dimensional (3D) models of natural and man-made cultural features, 3D models of dynamic vehicles, the ocean surface, and the ocean bottom, including features (both natural and man-made) on the ocean floor. In addition, the data store can includes the specific attributes of the synthetic environment data as well as their relationships. The associated CDB Standard Best Practice documents provide a description of a data schema for Synthetic Environmental information (i.e. it merely describes data) for use in simulation. The CDB Standard provides a rigorous definition of the semantic meaning for each dataset, each attribute and establishes the structure\/organization of that data as a schema comprised of a folder hierarchy and files with internal (industry-standard) formats. A CDB conformant data store contains datasets organized in layers, tiles and levels-of-detail. Together, these datasets represent the features of a synthetic environment for the purposes of distributed simulation applications. The organization of the synthetic environmental data in a CDB compliant data store is specifically tailored for real-time applications. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1052", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1052", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1052", "url": "https:\/\/hdl.handle.net\/11329\/1052" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2232", "name": "Determination of dissolved organic carbon and total dissolved nitrogen in seawater using High Temperature Combustion Analysis. [GOOS ENDORSED PRACTICE]", "description": " - This document describes best practices for analysis of dissolved organic matter (dissolved organic carbon and total dissolved nitrogen) in seawater samples. Included are SOPs for sample collection and storage, details for laboratory analysis using high temperature combustion analysis on Shimadzu TOC analyzers, and suggestions for best practices in quality control and quality assurance. Although written specifically for GO-SHIP oceanographic community practices, many aspects of sample collection and processing are relevant to DOM determination across oceanic regimes and this document aims to provide updated methodology to the wider marine community. - , - Refereed - , - FRENCH === Ce document d\u00e9crit les meilleures pratiques pour l'analyse de la mati\u00e8re organique dissoute (carbone organique dissous et azote total dissous) dans les \u00e9chantillons d'eau de mer. Sont inclus les SOP pour la collecte et le stockage des \u00e9chantillons, les d\u00e9tails pour l'analyse en laboratoire utilisant l'analyse de combustion \u00e0 haute temp\u00e9rature sur les analyseurs de COT Shimadzu, et des suggestions pour les meilleures pratiques en mati\u00e8re de contr\u00f4le qualit\u00e9 et d'assurance qualit\u00e9. Bien qu'\u00e9crit sp\u00e9cifiquement pour les pratiques de la communaut\u00e9 oc\u00e9anographique GO-SHIP, de nombreux aspects de la collecte et du traitement des \u00e9chantillons sont pertinents pour la d\u00e9termination de la DOM dans les r\u00e9gimes oc\u00e9aniques et ce document vise \u00e0 fournir une m\u00e9thodologie mise \u00e0 jour \u00e0 la communaut\u00e9 marine au sens large - , - GERMAN === Dieses Dokument beschreibt Best Practices f\u00fcr die Analyse gel\u00f6ster organischer Stoffe (gel\u00f6ster organischer Kohlenstoff und insgesamt gel\u00f6ster Stickstoff) in Meerwasserproben. Enthalten sind SOPs f\u00fcr die Probenentnahme und -lagerung, Einzelheiten zur Laboranalyse mittels Hochtemperatur-Verbrennungsanalyse auf TOC-Analysatoren von Shimadzu sowie Vorschl\u00e4ge f\u00fcr Best Practices bei der Qualit\u00e4tskontrolle und Qualit\u00e4tssicherung. Obwohl es speziell f\u00fcr GO-SHIP-Praktiken in der ozeanografischen Gemeinschaft geschrieben wurde, sind viele Aspekte der Probenentnahme und -verarbeitung f\u00fcr die DOM-Bestimmung in allen ozeanischen Regimen relevant, und dieses Dokument zielt darauf ab, der breiteren Meeresgemeinschaft eine aktualisierte Methodik zur Verf\u00fcgung zu stellen. - , - PORTUGUESE === Este documento descreve as melhores pr\u00e1ticas para an\u00e1lise de mat\u00e9ria org\u00e2nica dissolvida (carbono org\u00e2nico dissolvido e nitrog\u00eanio total dissolvido) em amostras de \u00e1gua do mar. Est\u00e3o inclu\u00eddos SOPs para coleta e armazenamento de amostras, detalhes para an\u00e1lise de laborat\u00f3rio usando an\u00e1lise de combust\u00e3o de alta temperatura em analisadores Shimadzu TOC e sugest\u00f5es para melhores pr\u00e1ticas em controle de qualidade e garantia de qualidade. Embora escrito especificamente para as pr\u00e1ticas oceanogr\u00e1ficas da comunidade GO-SHIP, muitos aspectos da coleta e processamento de amostras s\u00e3o relevantes para a determina\u00e7\u00e3o de DOM em regimes oce\u00e2nicos e este documento visa fornecer metodologia atualizada para a comunidade marinha em geral. - , - SPANISH === Este documento describe las mejores pr\u00e1cticas para el an\u00e1lisis de materia org\u00e1nica disuelta (carbono org\u00e1nico disuelto y nitr\u00f3geno total disuelto) en muestras de agua de mar. Se incluyen SOP para la recolecci\u00f3n y almacenamiento de muestras, detalles para an\u00e1lisis de laboratorio utilizando an\u00e1lisis de combusti\u00f3n a alta temperatura en analizadores de TOC Shimadzu y sugerencias de mejores pr\u00e1cticas en control y garant\u00eda de calidad. Aunque est\u00e1 escrito espec\u00edficamente para las pr\u00e1cticas de la comunidad oceanogr\u00e1fica GO-SHIP, muchos aspectos de la recolecci\u00f3n y el procesamiento de muestras son relevantes para la determinaci\u00f3n de DOM en todos los reg\u00edmenes oce\u00e1nicos y este documento tiene como objetivo proporcionar una metodolog\u00eda actualizada para la comunidad marina en general - , - 14.a - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2232", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2232", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2232", "url": "https:\/\/hdl.handle.net\/11329\/2232" }, "author": [ { "@type": "Person", "name": "Halewood, Elisa" }, { "@type": "Person", "name": "Opalk, Keri" }, { "@type": "Person", "name": "Custals, Lillian" }, { "@type": "Person", "name": "Carey, Maverick" }, { "@type": "Person", "name": "Hansell, Dennis A." }, { "@type": "Person", "name": "Carlson, Craig A." } ], "keywords": [ "Total dissolved nitrogen (TDN)", "Dissolved organic matter", "High temperature combustion analysis", "Best practices", "Dissolved organic carbon (DOC)", "Methodology", "Standard Operating Procedure (SOP)", "Dissolved gases", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2619", "name": "Best Practice Guidance on Handling Uncertainty Information. MINKE Deliverable D 3.4. Version 1.0.", "description": " - This document is MINKE\u2019s Deliverable 3.4 \"Best Practice Guidance on Handling Uncertainty Information.\" Its main purpose is to define a best practice approach for encoding and applying uncertainty information in oceanographic sensor metadata, using interoperable, machine-actionable formats. It identifies the essential metrological metadata needed to ensure traceability and reproducibility, and proposes a standardised encoding based on OGC SensorML (in JSON). The guidance includes detailed mappings to controlled vocabularies, and illustrates how to structure calibration reports, manufacturer specifications, and deployment metadata. A software tool, the SensorML Uncertainty Analysis, is also introduced as a demonstrator for applying the proposed model to real-world datasets. - , - MINKE Project, funded by the European Commission within the Horizon 2020 Programme (2014\u20132020), GA 101008724 - , - Published - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2619", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2619", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2619", "url": "https:\/\/hdl.handle.net\/11329\/2619" }, "author": [ { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Oliv\u00e9, Joaquin" }, { "@type": "Person", "name": "Autermann, Christian" }, { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Le Menn, Marc" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Uncertaintities", "Cross-discipline", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2082", "name": "Portuguese European Multidisciplinary Seafloor and Water Column Observatory Initiative.", "description": " - The Atlantic dimension of Portugal, with c. 1,700,000 km2 maritime area, led to the prioritization of the European Multidisciplinary Seafloor and water column Observatory - Portugal (EMSO-PT) in the national scientific infrastructures\u2019 roadmap. In this work we present the EMSO-PT initiative: a research consortium joining 15 research institutions, with the aim of implementing a network of multidisciplinary underwater observatories in the Atlantic, as well as laboratories and data processing support infrastructures. EMSOPT\u2019s priority is to generate continuous scientific data on marine environmental processes related to the interaction between the geosphere, biosphere, and hydrosphere, and to develop new sensors and platforms which will extend ocean monitoring in the near future. Monitoring variables will include biotic and abiotic variables of the ocean floor and water column, namely temperature, salinity, turbidity, acoustics, currents, and dissolved oxygen. Data will be disseminated through European Multidisciplinary Seafloor and Water Column Observatory \u2013 European Research Infrastructure Consortiums (EMSOERIC) channels, allowing for the integration and open access of data acquired by all partners of EMSO-ERIC, and by the research community at large. - , - Refereed - , - 14.a - , - 2022-03-01 - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2082", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2082", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2082", "url": "https:\/\/hdl.handle.net\/11329\/2082" }, "author": [ { "@type": "Person", "name": "Carapu\u00e7o, Mafalda Marques" }, { "@type": "Person", "name": "Silveira, Tanya Mendes" }, { "@type": "Person", "name": "Stroynowski, Zuzia" }, { "@type": "Person", "name": "Miranda, Jorge Miguel" } ], "keywords": [ "Research Infrastructure", "EMSO-PT", "Ocean observatories", "EMSO-ERIC", "Physical oceanography", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2185", "name": "Hierarchical Bayesian model reveals the distributional shifts of Arctic marine mammals.", "description": " - Our aim involved developing a method to analyse spatiotemporal distributions of Arctic marine mammals (AMMs) using heterogeneous open source data, such as scientific papers and open repositories. Another aim was to quantitatively estimate the effects of environmental covariates on AMMs' distributions and to analyse whether their distributions have shifted along with environmental changes. Location: Arctic shelf area. The Kara Sea. Methods: Our literature search focused on survey data regarding polar bears (Ursus maritimus), Atlantic walruses (Odobenus rosmarus rosmarus) and ringed seals (Phoca hispida). We mapped the data on a grid and built a hierarchical Poisson point process model to analyse species' densities. The heterogeneous data lacked information on survey intensity and we could model only the relative density of each species. We explained relative densities with environmental covariates and random effects reflecting excess spatiotemporal variation and the unknown, varying sampling effort. The relative density of polar bears was explained also by the relative density of seals. Results: The most important covariates explaining AMMs' relative densities were ice concentration and distance to the coast, and regarding polar bears, also the relative density of seals. The results suggest that due to the decrease in the average ice concentration, the relative densities of polar bears and walruses slightly decreased or stayed constant during the 17-year-long study period, whereas seals shifted their distribution from the Eastern to the Western Kara Sea. Main conclusions: Point process modelling is a robust methodology to estimate distributions from heterogeneous observations, providing spatially explicit information about ecosystems and thus serves advances for conservation efforts in the Arctic. In a simple trophic system, a distribution model of a top predator benefits from utilizing prey species' distributions compared to a solely environmental model. The decreasing ice cover seems to have led to changes in AMMs' distributions in the marginal Arctic region. - , - Refereed - , - 14.2 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2185", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2185", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2185", "url": "https:\/\/hdl.handle.net\/11329\/2185" }, "author": [ { "@type": "Person", "name": "Makinen, Jussi" }, { "@type": "Person", "name": "Vanhatalo, Jarno" } ], "keywords": [ "Arctic marine mammals", "Extensive transect survey", "Hierarchical Bayesian modelling", "Species distribution", "Human activity", "Data aggregation", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/282", "name": "Manual on Harmful Marine Microalgae. 2nd revised edition.", "description": " - Following a general introduction on harmful algal blooms, the Manual proper is composed of four parts: Methods, Taxonomy, Monitoring and Management, and Appendices. The Methods section covers oceanographic field-sampling techniques, algal-culture methods, cell counting, the use of antibody and DNA probes, instru- mental toxin-analysis techniques for paralytic shellfish poisoning (PSP), diarrhetic shellfish poisoning (DSP), amnesic shellfish poisoning (ASP), ciguatoxins and cyanobacterial toxins, as well as biochemical methods and mammalian bioassays for selected algal toxins. Cyst methodologies are also included. The Taxonomy section starts with a general introduction on \u2018what is a species\u2019, followed by detailed accounts of the taxonomy of dinoflagellates, haptophytes, diatoms, raphidophytes, cyanobacteria and cysts. The Monitoring and Management section covers environ- mental monitoring, management of shellfish resources and finfish aquaculture, as well as epidemiology and public health. Lastly, in the Appendices, the reader will find a listing of algal-culture collections and addresses of international and regional agencies involved with harmful algal bloom studies. For some related topics the reader is also referred to the handbooks by Sournia (1978) (available stock almost exhausted), Parsons et al. (1984), and the conference proceedings mentioned above. - , - First published in 2003 by the United Nations Educational, Scientific and Cultural Organization Supersedes 1995 version, IOC Manuals and Guides 33. - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/282", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/282", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/282", "url": "https:\/\/hdl.handle.net\/11329\/282" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Biological sampling", "Algae", "Toxicology", "Shellfish", "Finfish", "Poisoning", "Environmental monitoring", "Harmful algal blooms", "HAB" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1755.2", "name": "SOCAT Quality Control Cookbook - for version 2025 of the Surface Ocean CO 2 Atlas.", "description": " - This is the SOCAT quality control (QC) cookbook for SOCAT version 2025. It is an update to the cookbooks for version 1 (Olsen and Metzl, 2009), version 3 (Olsen et al., 2015; Wanninkhof et al., 2013) and version 2019 (version 7) (Lauvset et al., 2018). It incorporates the data set quality control flags defined in earlier cookbooks and reflects community discussions during the 2023 Surface Ocean pCO2 Workshop at the Flanders Marine Institute (VLIZ), Oostende, Belgium (IOCCP, 2024; Steinhoff et al., 2024). This document focuses on the quality control of a submitted dataset and does not provide information on how to upload data to SOCAT. This revision aims to maintain the quality and integrity of the SOCAT synthesis and gridded products. The outcomes of the 2021 pCO2 instrument intercomparison at VLIZ (Steinhoff et al., 2025) indicate that membrane-based sensors, including those with calibration gases, do not have a consistent uncertainty of less than 5 \u03bcatm, for reasons that we do not understand. This provides compelling justification for not assigning a flag of C to any membrane-based systems in SOCAT. - , - Published - , - Contributors: Simone Alin, Nicholas Gruber, Steve Jones, Linus Kamb, Vlad-Alexandru Macovei, Nicolas Metzl, Craig Neil, Kevin O\u2019Brien, L\u00e9a Olivier, Are Olsen, Denis Pierrot, Adrienne Sutton, Maciej Telszewski, Bronte Tilbrook - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1755.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1755.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1755.2", "url": "https:\/\/hdl.handle.net\/11329\/1755.2" }, "author": [ { "@type": "Person", "name": "Gkritzalis, Thanos" }, { "@type": "Person", "name": "Bakker, Dorothee C.E." }, { "@type": "Person", "name": "Lauvset, Siv K." }, { "@type": "Person", "name": "Steinhoff, Tobias" } ], "contributor": [ { "@type": "Organization", "name": "SOCAT" } ], "keywords": [ "Quality control flags", "SOCAT", "Physical oceanography", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2120", "name": "Report from the IASC Action Group on Indigenous Involvement,", "description": " - In all matters, IASC strives for an inclusive approach by \u201cencouraging and facilitating cooperation in all aspects of Arctic research, in all countries engaged in Arctic research and in all areas of the Arctic region.\u201d Rather than defining human and environmental boundaries, IASC tries to bridge those boundaries. IASC does not endorse any one definition of the Arctic region. There are many different definitions \u2013 astronomical, political, meteorological, ecological, and more. Natural systems do not reflect geopolitical boundaries, and often neither do social systems follow such drawn lines. The extent of the Arctic is flexible, dynamic, and context-specific. Furthermore, in defining Indigeneity, self-identification of Arctic Indigenous Peoples and groups is the appropriate and accepted standard. Recognition of Indigenous groups at some level (regionally, nationally, internationally, etc.) and expression of interest in IASC\u2019s mission is sufficient for inclusion in the IASC community. It is important to acknowledge that Traditional Knowledge, Indigenous Knowledge, and scientific knowledge1 are coequal and complementary knowledge systems. With its recommendations, the IASC Action Group on Indigenous Involvement (AGII; see Appendix for AGII Process) encourages and aims to facilitate cooperation in all aspects of Arctic research, Indigenous Knowledge, and knowledge co-production in all countries engaged in Arctic research and in all areas of the Arctic. - , - Published - , - Refereed - , - Current - , - 14.7 - , - Mature - , - Multi-organisational - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2120", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2120", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2120", "url": "https:\/\/hdl.handle.net\/11329\/2120" }, "contributor": [ { "@type": "Organization", "name": "International Arctic Sciences Committee (IASC)" } ], "keywords": [ "Indigenous communities", "Traditional knowledge", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2601", "name": "Hydromast Best Practices Document, Version 1.0.", "description": " - This best practice outlines standardized procedures for deploying and maintaining Hydromast flow meter to ensure accurate, consistent, and reliable flow measurements across various marine and freshwater environments. Key techniques covered include proper installation, calibration, data collection, and regular maintenance. Recommended installation guidelines focus on proper installation techniques minimizing environmental impacts on measurements, such as turbulence and vegetation interference, which are particularly important in dynamic coastal and estuarine areas where flow rates can vary significantly. The best practice targets use in diverse river and ocean regions, including coastal, offshore, and estuarine environments, where real-time water flow data aids in monitoring water quality, assessing resource availability, and supporting ecosystem management. Measurements from these devices provide critical data on flow rates, volume, and environmental factors like temperature and pressure, helping researchers and resource managers make informed decisions. - , - EU H2020 Iliad Project - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Hydromast, TalTech - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2601", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2601", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2601", "url": "https:\/\/hdl.handle.net\/11329\/2601" }, "author": [ { "@type": "Person", "name": "Ristolainen, Asko" }, { "@type": "Person", "name": "Egerer, Margit" } ], "contributor": [ { "@type": "Organization", "name": "Tallinn University of Technology (TalTech)" } ], "keywords": [ "Iliad Project", "TalTech", "Physical oceanography", "flow meters", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1623", "name": "Moving a Conference from Iceland to Zoom: Best Practices and Lessons Learned from Arctic Science Summit Week 2020.", "description": " - Arctic Science Summit Week (ASSW) is an annual gathering of Arctic researchers and research organizations, convened by the International Arctic Science Committee (IASC). ASSW provides a venue for coordination, cooperation, and collaboration on Arctic research. ASSW2020 was hosted by the Icelandic Centre for Research (Rann\u00eds) and the University of Akureyri, and it was originally scheduled as an in-person meeting in Akureyri (Iceland) from 27 March to 2 April 2020. This report is based on the first-hand experience of the ASSW2020 organizers, individual communication between the organizers and the attendees, and on the results of an attendee survey (123 responses with an encouraging response rate of 19%). - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1623", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1623", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1623", "url": "https:\/\/hdl.handle.net\/11329\/1623" }, "contributor": [ { "@type": "Organization", "name": "International Arctic Science Committee (IASC)" } ], "keywords": [ "ASSW", "Conference organization", "Zoom meetings", "Online meetings", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1920", "name": "Aquaculture policy in the EU. [Presentation at the EATiP\/OBPS Best Practices in Aquaculture Workshop, 05 April 2022 (Online)]", "description": " - The European Commission Directorate General of Maritime Affairs and Fisheries (DG MARE) works to ensure a sustainable use of ocean resources and to stimulate a sustainable blue economy. Sustainable development of aquaculture is part of the Common Fisheries Policy, with the Open Method of Coordination as a tool to exchange best practices across EU Member States facilitated by the Commission. The European Commission recently launched the Strategic Guidelines for a sustainable and competitive EU aquaculture (COM(2021) 236 final), as a result of the review of the 2012 Strategic guidelines and national strategic plans. - , - Published - , - Current - , - 14.5 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1920", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1920", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1920", "url": "https:\/\/hdl.handle.net\/11329\/1920" }, "author": [ { "@type": "Person", "name": "Bezinovi\u0107 \u0160ostar, Lana" } ], "contributor": [ { "@type": "Organization", "name": "European Commission, DG MARE" } ], "keywords": [ "European Commission", "Strategic guidelines", "Aquaculture", "Mariculture", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2152", "name": "Procedure for ongoing collection and collation of European Polar observing capacities and activities, WP 6 \u2013 European Polar Coordination Office Deliverable No D6.1.", "description": " - A diverse and distributed range of existing polar observing facilities and activities could be better utilised to address societally relevant scientific problems. The fundamental challenge related to the utilisation of polar observations is that observing networks and observing systems that produce observations are diverse and distributed of nature. There are many networks of polar observing facilities and activities and portals that organises information about observing facilities and activities, but often they do not share the information. If they do, it is done in a non-consistent way with custom data structures, custom vocabularies, and typically with limited access. There are only a few standards for organising the information within this field. The hindrances for an efficient organisation of the information are technical as well as political, social, and psychological. This document formulates recommendations that can address these hindrances. The technical recommendations have focus on federated search, a concept that is already well developed within the polar data management community. Achieving a basic level of technical, syntactical, and semantic interoperability (applying the so-called FAIR principles), would make it easier to aggregate information across sources. The recommendations to overcome political, social, and psychological hindrances have focus on tools that have worked in the data management world: Data policies should be formulated to also cover organising information about observing facilities and activities, as well as funding and training within them. - , - European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 101003766 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2152", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2152", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2152", "url": "https:\/\/hdl.handle.net\/11329\/2152" }, "contributor": [ { "@type": "Organization", "name": "EU-PolarNet 2 Consortium" } ], "keywords": [ "Observing networks", "eu-Polarnet", "Cross-discipline", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/364", "name": "Audit and certification of trustworthy digital repositories: recommended practice.", "description": " - This document is a technical Recommendation to use as the basis for providing audit and certification of the trustworthiness of digital repositories. It provides a detailed specification of criteria by which digital repositories shall be audited. The OAIS Reference Model (reference [ 1] ) contained a roadmap which included the need for a certification standard. The initial work was to be carried out outside CCSDS and then brought back into CCSDS to take into the standard. In 2003, Research Libraries Group ( RLG) and the National Archives and Records Administration (NARA) created a joint task force to specifically address d igital repository certification. That task force published Trustworthy Repositories Audit & Certification: Criteria and Checklist (TRAC\u2014reference [B3 ]), on which this Recommended Practice is based. Through the process of normal evolution, it is expected that expansion, deletion, or modification of this document may occur. This Recommended Practice is therefore subject to CCSDS document management and change control procedures, which are defined in the Procedures Manual for the Consultative Committee for Space Data Systems . Current versions of CCSDS documents are maintained at the CCSDS Web site: http:\/\/www.ccsds.org - , - Published - , - ISO16363 Audit Criteria is based on this Consultative Committee on Space Data Systems. Audit and Certification of Trustworthy Digital Repositories \u2013 Recommended Practice \u2013 CCSDS 652.0-M-1. September 2011. http:\/\/public.ccsds.org\/publications\/archive\/652x0m1.pdf - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/364", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/364", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/364", "url": "https:\/\/hdl.handle.net\/11329\/364" }, "contributor": [ { "@type": "Organization", "name": "Consultative Committee for Space Data Systems (CCSDS)" } ], "keywords": [ "Digital repositories", "ISO16363", "Parameter Discipline::Administration and dimensions::Administration and dimensions", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1144", "name": "Ocean Optics & Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, Volume 4.0. Inherent Optical Property Measurements and Protocols: Best Practices for the Collection and Processing of Ship-Based Underway Flow-Through Optical Data (V. 4.0).", "description": " - Optical data can be collected using the flow-through systems installed on research vessels and ships of opportunity to take advantage of the availability of sea water pumped into the vessel. These \"in-line\"\u00a0 or \u201cunderway\u201d systems are able to provide data at spatial resolutions on the order of 10-100 m. As the number of research groups making these measurements grows, there is a need to provide coordinated data collection and processing protocols to standardize methodology and data quality. In 2015, a NASA-sponsored workshop was organized to share such knowledge. Here, we discuss the essential issues associated with in-line data collection, provide recommendations on best practices for collection and processing and report on available software. - , - NASA - , - Published - , - Contributing authors: Boss, E., Ha\u00ebntjens, N., Ackleson, S., Balch, B., Chase, A., Dall\u2019Olmo, G., Freeman, S., Liu, Y., Loftin, J., Neary, W., Nelson, N., Novak, M., Slade, W., Proctor, C., Tortell, P., and Westberry. T. - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1144", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1144", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1144", "url": "https:\/\/hdl.handle.net\/11329\/1144" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Flow-through transmissometers", "Spectrophotometers", "Scattering meters", "Fluorometers", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::transmissometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2074", "name": "IMOS Ship SST for Satellite SST Validation.", "description": " - We report on the Australian Integrated Marine Observing System (IMOS) ship SST data sets \u2013 nine years of in situ subsurface \u201cSSTdepth\u201d and two years of ship-based remotely sensed \u201cSSTskin\u201d quality-assured observations from ships of opportunity - and their application for satellite SST validation. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Sea Surface Temperature - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - SeaBird SBE 38 temperature sensor - , - SeaBird SBE 3 temperature sensor - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2074", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2074", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2074", "url": "https:\/\/hdl.handle.net\/11329\/2074" }, "author": [ { "@type": "Person", "name": "Beggs, Helen" }, { "@type": "Person", "name": "Morgan, Nicole" }, { "@type": "Person", "name": "Sisson, Janice" } ], "contributor": [ { "@type": "Organization", "name": "GHRSST Project Office" } ], "keywords": [ "Physical oceanography", "water temperature sensor", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/475", "name": "Comparison of ten packages that compute ocean carbonate chemistry.", "description": " - Marine scientists often use two measured or modeled carbonate system variables to compute others. These carbonate chemistry calculations, based on well-known thermodynamic equilibria, are now available in a dozen pub- lic packages. Ten of those were compared using common input data and the set of equilibrium constants recommended for best practices. Current versions of all 10 pack- ages agree within 0.2 \u03bcatm pCO2, 0.0002 units for pH,and 0.1 \u03bcmol kg\u22121 for CO2\u22123 in terms of surface zonal-mean values. That represents more than a 10-fold improvement relative to outdated versions of the same packages. Differences between packages grow with depth for some computed variables but remain small. Discrepancies derive largely from differences in equilibrium constants. Analysis of the sensitivity of each computed variable to changes in each constant reveals the general dominance of K1 and K2 but also the comparable sensitivity to KB for the AT\u2013CT input pair. Best-practice formulations for K1 and K2 are implemented consistently among packages. Yet with more recent formulations designed to cover a wider range of salinity, packages disagree by up to 8 \u03bcatm in pCO2, 0.006 units in pH, and 1 \u03bcmol kg\u22121 in CO2\u22123 under typical surface conditions. They use different proposed sets of coefficients for these formulations, all of which are inconsistent. Users would do well to use up-to-date versions of packages and the constants recommended for best practices - , - Refereed - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/475", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/475", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/475", "url": "https:\/\/hdl.handle.net\/11329\/475" }, "author": [ { "@type": "Person", "name": "Orr, J.C." }, { "@type": "Person", "name": "Epitalon, J.-M." }, { "@type": "Person", "name": "Gattuso, J.-P." } ], "keywords": [ "Carbonate chemistry", "Equilibrium constants", "Parameter Discipline::Chemical oceanography::Carbonate system", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2100", "name": "A practical guide for successful research expeditions at sea.", "description": " - In this article we provide guidance to new seafaring scientists, irrespective of their background and discipline, on how to prepare for their debut at sea. We describe strategies for planning and completing oceanographic expeditions and outline general approaches that can be tailored to the unique needs of individual ocean researchers. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2100", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2100", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2100", "url": "https:\/\/hdl.handle.net\/11329\/2100" }, "author": [ { "@type": "Person", "name": "Jabre, Loay J." }, { "@type": "Person", "name": "Annett, Amber" }, { "@type": "Person", "name": "Koek, Cuun" }, { "@type": "Person", "name": "McCain, J. Scott P." }, { "@type": "Person", "name": "Beckley, Lena" }, { "@type": "Person", "name": "Zitoun, Rebecca" }, { "@type": "Person", "name": "Jones, Rhiannon J." }, { "@type": "Person", "name": "van de Poll, Willem" } ], "contributor": [ { "@type": "Organization", "name": "Zenodo" } ], "keywords": [ "MetalGate2021", "RV Pelagia", "Field work", "Research cruises", "Oceanographic expeditions", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/907", "name": "Corrigendum 1 for OGC Web Services Common Standard Version 2.0.0 - Multilingual.", "description": " - This document is a corrigendum for OGC Document Web Services Common Specification version 2.0.0. This document being corrected specifies many of the aspects that are, or should be, common to all or multiple OWS interface Implementation Specifications. The Common Implementation Specification aspects specified by this document currently include: a) Operation request and response contents, most partial b) Parameters and data structures included in operation requests and responses c) XML and KVP encoding of operation requests and responses - , - Published - , - Refereed - , - Current - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/907", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/907", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/907", "url": "https:\/\/hdl.handle.net\/11329\/907" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Standard", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/202", "name": "[Ocean Data Standards Volume 1] Recommendation to adopt ISO 3166-1 and 3166-3 country codes as the standard for identifying countries in oceanographic data exchange. Version 1.0. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/287]", "description": " - ! - , - Published - , - Document available in English. - , - Non-Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/202", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/202", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/202", "url": "https:\/\/hdl.handle.net\/11329\/202" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC" } ], "keywords": [ "Oceanographic data", "Standardization", "Standards", "Information exchange", "Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2064", "name": "Requirements for environmental monitoring and investigation of cultural deposits: English version of the Norwegian National Standard.", "description": " - This standard is based on the Norwegian Directorate for Cultural Heritage\u2019s [Riksantikvaren] strategy for monitoring of subsurface deposits of archaeological or cultural significance (\u201ccultural deposits\u201d) and on the guidance document that was developed as a part of this strategy1. The standard has been produced by a committee consisting mainly of representatives of Norwegian organizations involved in the field of environmental investigation of cultural deposits. This standard will assist both developers and those responsible for sites of archaeological\/historical significance in abiding by the relevant legislation and conditions for environmental monitoring when disturbing or building upon cultural deposits. It will also specify the responsibilities of the developer in such cases. The standard applies to activities pertaining to the Directorate for Cultural Heritage\u2019s management of the automatically protected medieval towns of Trondheim, Oslo, T\u00f8nsberg, Skien, Sarpsborg, Hamar, Stavanger and Bergen. - , - Norwegian Directorate for Cultural Heritage [Riksantikvaren] - , - Published - , - Original standard pubished 2009 in Norwegian - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2064", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2064", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2064", "url": "https:\/\/hdl.handle.net\/11329\/2064" }, "contributor": [ { "@type": "Organization", "name": "Norwegian Directorate for Cultural Heritage [Riksantikvaren]" } ], "keywords": [ "Archaeology", "Cultural heritage", "Environmental monitoring", "Preservation conditions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/204", "name": "Visions for a Sea change: Report of the First International Workshop on Marine Spatial Planning, Intergovernmental Oceanographic Commission and the Man and the Biosphere Programme UNESCO Headquarters. Paris, France. 8-10 November 2006.", "description": " - 1 Introduction to the Workshop on Marine Spatial Planning 7 2 Introduction to Ecosystem-based, Sea Use Management 15 3 Ecosystem-based, Sea Use Management and Marine Spatial Planning 23 4 Key Scientific Issues for Ecosystem-based, Marine Spatial Planning 29 5 Legislation and Policy Framework for Marine Spatial Planning 35 6 A Process for Marine Spatial Planning 45 7 Defining the Human Dimension of Marine Spatial Planning 53 8 Implementing Marine Spatial Planning 57 9 Monitoring, Evaluating, and Adapting Marine Spatial Planning 65 10 Conclusions and Next Steps 71 - , - Supported by IOC for UNESCO. - , - Published - , - Marine spatial planning - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/204", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/204", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/204", "url": "https:\/\/hdl.handle.net\/11329\/204" }, "author": [ { "@type": "Person", "name": "Ehler, Charles" }, { "@type": "Person", "name": "Douvere, Fanny" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Marine sciences", "Spatial analysis", "Spatial information", "Marine resources", "Ecosystems" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1823", "name": "Guidelines for the study of climate change effects on HABs.", "description": " - Our planet Earth is changing. Marine and freshwater ecosystems are experiencing intense natural and anthropogenic pressures that will generate unforeseen changes in their structure and functioning. The drivers of climate change have already altered the dynamics and interactions of the biotic and abiotic components in these ecosystems, and these changes are anticipated to accelerate in the future. Embedded within natural aquatic ecosystems are Harmful Algal Blooms (HABs) that are noxious to aquatic organisms as well as human health and wellbeing.The major aim of these guidelines is to communicate standardized strategies, tools, and protocols to assist researchers studying how climate change drivers may increase or decrease future HAB prevalence in aquatic ecosystems. - , - IOC- HAB, SCOR - , - Published - , - Refereed - , - Current - , - 13 - , - 14.a - , - Phytoplankton biomass and diversity - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1823", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1823", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1823", "url": "https:\/\/hdl.handle.net\/11329\/1823" }, "author": [ { "@type": "Person", "name": "Wells, Mark" }, { "@type": "Person", "name": "Burford, Michele" }, { "@type": "Person", "name": "Kremp, Anke" }, { "@type": "Person", "name": "Montresor, Marina" }, { "@type": "Person", "name": "Pitcher, Grant" }, { "@type": "Person", "name": "Richardson, Anthony" }, { "@type": "Person", "name": "Eriksen, Ruth" }, { "@type": "Person", "name": "Hallegraeff, Gustaaf" }, { "@type": "Person", "name": "Rochester, Wayne" }, { "@type": "Person", "name": "Pitcher, Grant" }, { "@type": "Person", "name": "Burford, Michele" }, { "@type": "Person", "name": "Van de Waal, Dedmer" }, { "@type": "Person", "name": "Bach, Lennart" }, { "@type": "Person", "name": "Berdalet, Elisa" }, { "@type": "Person", "name": "Brandenburg, Karen" }, { "@type": "Person", "name": "Suikkanen, Sanna" }, { "@type": "Person", "name": "Wohlrab, Sylke" }, { "@type": "Person", "name": "Hansen, Per" }, { "@type": "Person", "name": "Hennon, Gwenn" }, { "@type": "Person", "name": "Sefbom, Josefin" }, { "@type": "Person", "name": "Schaum, Elisa" }, { "@type": "Person", "name": "Dyhrman, Sonya" }, { "@type": "Person", "name": "Godhe, Anna" }, { "@type": "Person", "name": "Zingone, Adriana" }, { "@type": "Person", "name": "Escalera, Laura" }, { "@type": "Person", "name": "Bresnan, Elieen" }, { "@type": "Person", "name": "Enevoldsen, Henrik" }, { "@type": "Person", "name": "Provoost, Pieter" }, { "@type": "Person", "name": "Richardson, Anthony" }, { "@type": "Person", "name": "Hamilton, David" }, { "@type": "Person", "name": "Anderson, Clarissa" }, { "@type": "Person", "name": "Hense, Inga" }, { "@type": "Person", "name": "Chapra, Steven" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC\/SCOR" } ], "keywords": [ "HAB", "Harmful algal blooms", "Climate change effects", "Disease, damage and mortality" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1399", "name": "OSPAR scoping study on best practices for the design and recycling of fishing gear as a means to reduce quantities of fishing gear found as marine litter in the North-East Atlantic.", "description": " - The OSPAR Convention is the mechanism by which 15 Governments and the EU cooperate to protect the marine environment of the North\u2010East Atlantic. In 2014, OSPAR adopted a Regional Action Plan for Marine Litter (RAP ML), which sets out the policy context for OSPAR\u2019s work to prevent and reduce the occurrence of marine litter in the North\u2010East Atlantic. In the latest OSPAR assessment of beach litter (2019), fishing related items was one of the top three most common litter types recorded on OSPAR beaches. To begin to address this important issue and to fulfil the objectives of the RAP ML, OSPAR is considering the design and recycling of fishing gear, and how this could play a part in reducing the amount of fishing gear found as marine litter in the OSPAR Maritime Area. This scoping document sets out current understanding of the provisions, challenges, barriers, solutions and best practice examples for design and recycling of fishing gear, while also providing suggestions for next steps. The information collated in this document may aid Contracting Parties in implementing Extended Producer Responsibility schemes for fishing gear containing plastics, as foreseen under the EU Directive (EU) 2019\/904. The study was based on a detailed questionnaire, sent out in July 2019 to stakeholders across the fishing sector, and additional expert interviews. Preliminary conclusions were discussed and verified in an expert workshop in February 2020, organised in collaboration with the European Commission in the context of the implementation of the EU Directive on the reduction of the impact of certain plastic products on the environment (EU\/2019\/904). - , - Published - , - This scoping document has been prepared by the task leads for Action 36 of the OSPAR Marine Litter Regional Action Plan (The Netherlands and The United Kingdom), with contributions from Andrea Stolte, Wouter Jan Strietman, Roos Bol, Jennifer Godwin, Emma Day, Mareike Erfeling and Mark Intven. - , - Refereed - , - Current - , - 14.1 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1399", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1399", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1399", "url": "https:\/\/hdl.handle.net\/11329\/1399" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Marine plastics", "Marine litter", "Fishing gear", "Fishing nets", "Beach litter", "Best practices", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1405", "name": "Guide to data protection. [in UK]", "description": " - This guide is for data protection officers and others who have day-to-day responsibility for dataprotection. It is aimed at small and medium-sized organisations, but it may be useful for largerorganisations too. If you are a sole trader (or similar small business owner), you may find it easier to start with ourspecific resources for small business owners and sole traders.The guide covers the Data Protection Act 2018 (DPA 2018), and the General Data Protection Regulation(GDPR) as it applies in the UK. It is split into five main sections - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1405", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1405", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1405", "url": "https:\/\/hdl.handle.net\/11329\/1405" }, "contributor": [ { "@type": "Organization", "name": "Information Commissioner's Office" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1772", "name": "Marine Mammal Necropsy: an introductory guide for stranding responders and field biologists.", "description": " - Necropsies are performed to get further insight into the cause of death: in the case of marine mammals this may establish the cause for stranding or other mortalities. The necropsy generates a series of gross observations that establishes a differential diagnosis. Subsequent investigations, such as histopathology, are then guided as the various potential diagnoses are eliminated until an etiology is established. Regardless of whether it is a common chronic disease, fisheries interaction, or an emerging zoonoses, by consistently conducting necropsies, trends in population health can be monitored. This guide is designed to establish a base level of proficiency in marine mammal necropsy techniques. It is written for stranding network members who do not have a formal pathobiological training and have limited knowledge of anatomy. Anatomical and pathological jargon has been kept to a minimum. This manual is divided into six sections: preliminary data, sample management, pinniped, small cetacean, large whale (at sea and on the beach), and multiple appendices (A-H). A wellillustrated, carefully written gross necropsy report is essential to an adequate diagnostic investigation. Gross reports with significant detail and description tend to engender useful histopathological findings. A sample blank gross necropsy report and guidelines in writing a report can be found in Appendices A & B. Overall, this guide aims to lead the enquiring mind through the necessary steps to produce such reports. While this manual focuses on process and interpretation, it is important to understand that the gross necropsy is primarily about making detailed, descriptive observations without bias as to possible etiology. The necropsy should establish a list of differential diagnoses and the sampling be directed by an attempt to discriminate between them. Throughout this manual there are images of both normal and abnormal tissues documented in cases of stranded marine mammals on Cape Cod, Massachusetts. These images serve to give the beginner an example of what normal and abnormal may look like. We do not encourage the prosector to utilize these photos as a way to identify a specific pathology. The most important part of a necropsy is to accurately describe what you see as you see it. If experience has allowed one to recognize specific conditions, this information may be added to the report following the initial gross description. Note: To avoid confusion regarding the asymmetry of marine mammals, photos have not been arranged in the conventional manner with the cranial aspect to the left. Images are inserted into this manual as they were originally taken. Also, many of the images have been cropped for clarity, at times hiding the sample identification tag that should be included in every image. A gross description and morphologic diagnosis and\/or etiology are provided with the majority of gross images throughout this manual. The morphologic diagnosis reflects subsequent histological 13 observations where available which are designated with an asterisk. Where histology is not available for a particular gross lesion image, similar prior cases with histological analysis have been used to infer a morphologic diagnosis. In addition, many gross appearances and common pathologies are similar among marine mammal species and photos throughout this manual can be applied to all orders discussed. This manual, although targeted for a US audience, has utility for any region of the world. - , - National Oceanic and Atmospheric Administration under Cooperative Grant No. NA05NMF4391165. - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1772", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1772", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1772", "url": "https:\/\/hdl.handle.net\/11329\/1772" }, "author": [ { "@type": "Person", "name": "Pugliares, Katie R." }, { "@type": "Person", "name": "Bogomolni, Andrea" }, { "@type": "Person", "name": "Touhey, Kathleen M." }, { "@type": "Person", "name": "Herzig, Sarah M." }, { "@type": "Person", "name": "Harry, Charles T." } ], "contributor": [ { "@type": "Organization", "name": "Woods HOle Oceanographic Institution" } ], "keywords": [ "Marine mammals", "Necropsies", "Necropsy", "Vetinary autopsy", "Whale strandings", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2549", "name": "ISO 18406:2017. Underwater acoustics \u2014 Measurement of radiated underwater sound from percussive pile driving. Edition 1. [Reviewed 2022]", "description": " - ISO 18407:2017 describes the methodologies, procedures, and measurement systems to be used for the measurement of the radiated underwater acoustic sound generated during pile driving using percussive blows with a hammer. A major motivation for undertaking measurements of the sound radiated during percussive pile driving is as part of an assessment of impact on aquatic fauna required by regulatory frameworks. This document describes a generic approach to measurements that can be applied to different regulatory requirements. ISO 18407:2017 is suitable for measurement of percussive pile driving undertaken for offshore installation of foundations (monopiles, jackets, tripods, etc.) used in construction of offshore wind farms, oil and gas platforms, and other inshore structures such as bridge foundations and aquatic renewable energy devices. This document does not cover measurement of the sound radiated by vibro-piling or sheet piling. This document does not cover piling in water of depth less than 4 m or greater than 100 m. The procedures described herein provide guidance on making measurements to satisfy the following objectives: - to monitor source output during piling, for example, for regulatory purposes; - to provide consistency in comparison of piling noise from different construction projects; - for validation of modelling or predictions. ISO 18407:2017 covers only the measurement of the sound field radiated during percussive pile driving. The scope of this document does not include the assessment of exposure metrics, or the use of exposure criteria. No attempt is made to prescribe a methodology for generating maps of the acoustic field in the vicinity of the source. In the normative part of this document, requirements and procedures are described for measurement of the sound field at specific ranges from the pile being driven. In this part of the document, no procedure is provided for determination of an acoustic output metric that is independent of the propagation path between source and receiver (such as a source level). Ideally, such a metric would have some predictive utility (for example, in calculating noise impact zones and noise maps). However, some information on the determination of a possible acoustic output metric is provided in Annex A. ISO 18407:2017 covers only the measurement of sound pressure in the water column. The scope does not include measurement of sound particle velocity in the water column due to the propagating sound wave, or seabed vibration caused by waves propagating across the sea-floor. This exclusion does not imply that such measures are unimportant; indeed, their importance in assessing the impact on aquatic life is recognized. However, at the time of drafting, measurement of these quantities is not yet mature enough for standardization. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2549", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2549", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2549", "url": "https:\/\/hdl.handle.net\/11329\/2549" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Pile dirving", "Sound pressure", "Sound generation", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/995", "name": "OGC\u00ae Web Coverage Service 2.0 Interface Standard - Earth Observation Application Profile, Version 1.1.", "description": " - The OGC Web Coverage Service (WCS) Application Profile - Earth Observation (EO- WCS) defines a profile of WCS 2.0 [OGC 09-110r4] for use on Earth Observation data. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/995", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/995", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/995", "url": "https:\/\/hdl.handle.net\/11329\/995" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2304", "name": "Report of the ESFRI Working Group on Monitoring of Research Infrastructures Performance (WG Monitoring).", "description": " - Following the invitation by the Competitiveness Council of 29 May 2018, the European Strategy Forum on Research Infrastructures (ESFRI) established a Working Group (WG) to develop a common approach across Research Infrastructures (RIs) to monitor their performance based on Key Performance Indicators (KPIs). The proposed KPIs should provide a comprehensive framework ranging from input to outcome indicators. They will be used in the periodic review of ESFRI Landmarks and moreover, they should be useful and may be adopted by a wider range of RIs, funding authorities and stakeholders. The KPIs were developed to address the most commonly held objectives of pan-European RIs, to ensure that they are likely to be relevant and adopted by the widest range of RIs, and they were tested against the RACER criteria, i.e. they had to be Relevant, Accepted, Credible, Easy to monitor, Robust. The WG is aware that novel methods, such as those based on altmetrics are likely to significantly modify the approach to monitoring in the future. However, currently, they do not meet the RACER criteria and were not considered in the development of the system. Further details of each KPI are given in accompanying reference sheets. The suitability of the KPIs to facilitate the monitoring of performance was tested through surveys and a stakeholder workshop. The results of this consultation indicate, that given the diversity of types and missions of RIs, the KPIs can be implemented effectively if they are adapted to the specific character and context of individual RIs. While the WG proposes that this is achieved through a dialogue between the relevant parties for all of the RIs, it is of particular importance for RIs under construction, which require customized KPIs according to their phase of development. The WG notes that although KPIs are the most often used method to monitor progress towards objectives, they are often poor proxies of progress towards objectives. A move towards enhanced inclusion of narratives, such as theory of change and storytelling has been observed lately, not only in the case of evaluations, but also monitoring. The proposed methodology therefore requests that the RIs accompany the agreed KPIs with a context and develop also their own narratives. - , - European Union - , - Published - , - Refereed - , - Current - , - Mature - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2304", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2304", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2304", "url": "https:\/\/hdl.handle.net\/11329\/2304" }, "contributor": [ { "@type": "Organization", "name": "European Strategy Forum on Research Infrastructures" } ], "keywords": [ "Research Infrastructures", "KPI", "Performance monitoring", "Key Performance Indicators", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1942", "name": "Best Practices in Aquaculture, EATIP-OBPS Workshop, Tuesday, 05 April 2022, 11.00 - I4.30 UTC (Online), Proceedings.", "description": " - The development of best practices is an important part of the recently launched European Strategic guidelines for a more sustainable and competitive EU aquaculture . The workshop stimulated the sharing of knowledge and promoted best practice development across aquaculture systems and regions. It provided the participants with a better understanding of how to develop and maintain best practices within the existing boundaries for sharing of data. The workshop also showed examples of good practices and looked into opportunities for guidance and collaborative actions on how to support their development. It was organised jointly by the European Aquaculture Technology and Innovation Platform (EATIP) further to an initial approach by the Ocean Best Practices System (OBPS) of The Intergovernmental Oceanographic Commission (IOC). - , - Published - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1942", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1942", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1942", "url": "https:\/\/hdl.handle.net\/11329\/1942" }, "contributor": [ { "@type": "Organization", "name": "Unesco" } ], "keywords": [ "Aquaculture", "Mariculture", "Fish farming", "Shellfish farming", "Molluscs", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/625", "name": "Handbook of geo-statistics in R for fisheries and marine ecology.", "description": " - Fisheries surveys to estimate the abundance of populations have become a pillar in providing fishery-independent data to determine the status of fish stocks and monitor ecosystems. Since the early 1990s, geostatistics has been used for designing sampling at sea and estimating the precision of estimates of global population biom abun- dance (ICES, 1993; Rivoirard et al., 2000). Now, the ecosystem approach to fisheries management calls for methods that deal explicitly with spatial issues. In effect, the spatial management of human activities and\/or the conservation of particular habitats require precise distribution maps of resources at various stages in their life cycle. Geo- statistics offers a range of solutions for mappig and characterizing different aspects of spatial distributions. On more ecological grounds, geostatistics is also useful for modeling habitats and understanding the ecology of spatial distributions. The varied range of geostatistical methods is largely based on the theory of random functions and random fields. The cornerstone of the geostatistical approach to applying this statistical framework for mapping lies in the so-called structural analysis, where the spatial (or spatio-temporal) correlation structure in the data is analyzed and modeled by a so-called variogram. Model types e.g. power, exponential, spherical) are chosen based on their underlying physical and mathematical properties relative to the spatial process to be modelled (Matheron, 1989). Once the model type is chosen, it is best fitted to the data using standard statistical fitting procedures. The model is then used for i nterpolating the data on a grid, which results in a map of the variable studied (local and global estimation) and a map of the estimation error (precision of the esti- mation). It is worth noting that being model-based, the estimation variance calculated by geostatistics applies to any sampling design and particular ly to regular designs, in which sample point locations are spatially correlated. This frees the practicioner from using random designs only to compute design-based statistics, as random designs may provide lower precision than regular designs. Further, geostatistics and classical statis- tics correspond to different approaches when using the same statistical framework of random functions (Matheron, 1989). In particular, geostatistics estimates regional quantities (mean value of the process over a domain) while classical statistics focusses on estimating the process mean. In addition, classical statistics computes the variance of the estimate, while geostatistics also develops the variance of the estima tion error (ICES, 1993; Petitgas, 2001). Depending on the spatial model, sampling intensity , and size of the domain, the estimates may or may not differ, which justifies differentiating between the two approaches (Matheron, 1989). The objective of this handbook is to summarize and explain the basic notions on the wide range of geostatistical methods (linear, multivariate, non-linear, simulations) that are useful for mapping in the context of the ecosystem approach and offer to the reader illustrative case studies with code in R language. Global estimation of population abundance (or biomass) with its precision for different survey designs (even systematic design) is a key issue in fisheries science for which geostatistics provides solutions given a variogram model (Petitgas, 2001; Bez, 2002). This is explained in chapters 4 and 5 on variography and variances. This latter chapter discusses the relationship between structure and scale. Further, when the variable to estimate is a non-linear combination of primary parameters that are those sampled, simulations may be required, as is explained in Chapter 9 on simulations. Variation in spatial distributions with population abundance and\/or environmental factors is another key issue. The many aspects of spatial distributions can be character- ized by spatial indicators and monitored over time (Bez and Rivoirard, 2001; Woillez et al., 2007 , 2009a). Chapter 3 is dedicated to spatial indicators. Mapping resources and habitats is clearly paramount. The geostatistical solution to mapping is kriging, which constructs local unbiased estimates of minimum variance. For that, one assumes an underlying random function and its variogram model. The various types of kriging and interpolation settings (Chil\u00e8s and Delfiner, 2012) are presented in Chapter 6. Mapping habitats may be more complex than kriging fish concentrations. One may be interested in thresholding the data to consider the prevalence in species occurrence or hotspots. Or one may be interested in incorporating in the mapping particular relationships with environmental parameters, some of which may be qualitative variables. Thus , multivariate kriging and non-linear approaches using thresholds (Rivoirard, 1994; Chil\u00e8s and Delfiner, 2012) are developed in chapters 7 and 8. The applications of a wide range of geostatistical tools are expected to increase with the development of the package RGeostats (Renardet et al ., 2016), which is now freely available for the R language environment. This handbook is intended to summarize the principles of geostatistics and provide to the reader the capability to apply the methods using demonstration scripts in the R language. It compiles the materials of the 2013 and 2014 ICES training courses held by the authors in Fontainebleau. The handbook is constructed from lecture notes presenting the theoretical background with illustrative fisheries survey data studies. The annexes detail the practice in applying the methods. The R package RGeostats is presented in Annex 1. Example data sets used throughout the document are presented in Annex 2. Demonstration Rscripts are provided in Annex 3. Each script allows the user to perform a particular geostatistical study on an example dataset. Each script can be copy\/pasted in the R environment for demonstration. The examples illustrating the theory are taken from the Rscripts provided in Annex 3 - , - Published - , - Refereed - , - Current - , - 14.4 - , - Fish abundance and distribution - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/625", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/625", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/625", "url": "https:\/\/hdl.handle.net\/11329\/625" }, "author": [ { "@type": "Person", "name": "Petitgas, Pierre" }, { "@type": "Person", "name": "Woillez, Mathieu" }, { "@type": "Person", "name": "Rivoirard, Jacques" }, { "@type": "Person", "name": "Renard, Didier" }, { "@type": "Person", "name": "Bez, Nicolas" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Statistical analysis", "Fish stocks", "Parameter Discipline::Biological oceanography::Fish", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/958", "name": "Using ERDDAP to access tabular data. [Training video]", "description": " - This eleven-minute tutorial video demonstrates the utility of NOAA\u2019s Environmental Research Division's Data Access Program (ERDDAP) service, and how to access and use it. ERDDAP is a free and open-source application used to convert and serve a wide variety of scientific datasets using a uniform interface. In addition to retrieving data with disparate formats and providing it to the user in a common format, ERDDAP can also be used create plots and graphics. Automatic keystroke logging is used to generate a URL which can recreate data access and graphics generation. - , - Published - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/958", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/958", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/958", "url": "https:\/\/hdl.handle.net\/11329\/958" }, "author": [ { "@type": "Person", "name": "Signell, Richard" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Geological Survey" } ], "keywords": [ "Training video", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data search and retrieval", "Data Management Practices::Data transformation\/conversion", "Data Management Practices::Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1380", "name": "Free-ocean CO2 enrichment (FOCE) systems: present status and future developments.", "description": " - Free-ocean CO2 enrichment (FOCE) systems are designed to assess the impact of ocean acidification on biological communities in situ for extended periods of time (weeks to months). They overcome some of the drawbacks of laboratory experiments and field observations by enabling (1) precise control of CO2 enrichment by monitoring pH as an offset of ambient pH, (2) consideration of indirect effects such as those mediated through interspecific relationships and food webs, and (3) relatively long experiments with intact communities. Bringing perturbation experiments from the laboratory to the field is, however, extremely challenging. The main goal of this paper is to provide guidelines on the general design, engineering, and sensor options required to conduct FOCE experiments. Another goal is to introduce xFOCE, a community-led initiative to promote awareness, provide resources for in situ perturbation experiments, and build a user community. Present and existing FOCE systems are briefly described and examples of data collected presented. Future developments are also addressed as it is anticipated that the next generation of FOCE systems will include, in addition to pH, options for oxygen and\/or temperature control. FOCE systems should become an important experimental approach for projecting the future response of marine ecosystems to environmental change. - , - Refereed - , - 14.3 - , - Inorganic carbon - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1380", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1380", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1380", "url": "https:\/\/hdl.handle.net\/11329\/1380" }, "author": [ { "@type": "Person", "name": "Gattuso, J-P." }, { "@type": "Person", "name": "Kirkwood, W." }, { "@type": "Person", "name": "Barry, J. P." }, { "@type": "Person", "name": "Cox, E." }, { "@type": "Person", "name": "Gazeau, F." }, { "@type": "Person", "name": "Hansson, L." }, { "@type": "Person", "name": "Hendriks, I." }, { "@type": "Person", "name": "Kline, D.I." }, { "@type": "Person", "name": "Mahacek, P." }, { "@type": "Person", "name": "Martin, S." }, { "@type": "Person", "name": "McElhany, P." }, { "@type": "Person", "name": "Peltzer, E. T." }, { "@type": "Person", "name": "Reeve, J." }, { "@type": "Person", "name": "Roberts, D." }, { "@type": "Person", "name": "Saderne, V." }, { "@type": "Person", "name": "Tait, K." }, { "@type": "Person", "name": "Widdicombe, S." }, { "@type": "Person", "name": "Brewer, P. G." } ], "keywords": [ "Ocean acidification", "FOCE system", "Biological impact", "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2050", "name": "YARD: A Tool for Curating Research Outputs.", "description": " - Repositories increasingly accept research outputs and associated artifacts that underlie reported findings, leading to potential changes in the demand for data curation and repository services. This paper describes a curation tool that responds to this challenge by economizing and optimizing curation efforts. The curation tool is implemented at Yale University\u2019s Institution for Social and Policy Studies (ISPS) as YARD. By standardizing the curation workflow, YARD helps create high quality data packages that are findable, accessible, interoperable, and reusable (FAIR) and promotes research transparency by connecting the activities of researchers, curators, and publishers through a single pipeline. - , - Refereed - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2050", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2050", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2050", "url": "https:\/\/hdl.handle.net\/11329\/2050" }, "author": [ { "@type": "Person", "name": "Peer, Limor" }, { "@type": "Person", "name": "Dull, Joshua" } ], "keywords": [ "Data curation", "Reproducibility", "Data quality", "Workflow tool", "Data repositories", "Cross-discipline", "Data archival\/stewardship\/curation", "Data Quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1771", "name": "NOAA and BOEM Minimum Recommendations for Use of Passive Acoustic Listening Systems in Offshore Wind Energy Development Monitoring and Mitigation Programs.", "description": " - Offshore wind energy development is rapidly ramping up in United States (U.S.) waters in order to meet renewable energy goals. With a diverse suite of endangered large whale species and a multitude of other protected marine species frequenting these same waters, understanding the potential consequences of construction and operation activities is essential to advancing responsible offshore wind development. Passive acoustic monitoring (PAM) represents a newer technology that has become one of several methods of choice for monitoring trends in the presence of species, the soundscape, mitigating risk, and evaluating potential behavioral and distributional changes resulting from offshore wind activities. Federal and State regulators, the offshore wind industry, and environmental advocates require detailed information on PAM capabilities and techniques needed to promote efficient, consistent, and meaningful data collection efforts on local and regional scales. PAM during offshore wind construction and operation may be required by the National Oceanic and Atmospheric Administration and Bureau of Ocean Energy Management through project-related permits and approvals issued pursuant to relevant statutes and regulations. The recommendations in this paper aim to support this need as well as to aid the development of project-specific PAM Plans by identifying minimum procedures, system requirements, and other important components for inclusion, while promoting consistency across plans. These recommendations provide an initial guide for stakeholders to meet the rapid development of the offshore wind industry in United States waters. Approaches to PAM and agency requirements will evolve as future permits are issued and construction plans are approved, regional research priorities are refined, and scientific publications and new technologies become available. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Ocean Sound - , - 2021-10-27 - , - Multi-organisational - , - National - , - Species Populations - , - Species Traits - , - Community Composition - , - Ecosystem Functioning - , - Marine Habitats - , - Passive Acoustic Recorders - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1771", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1771", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1771", "url": "https:\/\/hdl.handle.net\/11329\/1771" }, "author": [ { "@type": "Person", "name": "Van Parijs, Sofie M." }, { "@type": "Person", "name": "Baker, Kyle" }, { "@type": "Person", "name": "Carduner, Jordan" }, { "@type": "Person", "name": "Daly, Jaclyn" }, { "@type": "Person", "name": "Davis, Genevieve" }, { "@type": "Person", "name": "Esch, Carter" }, { "@type": "Person", "name": "Guan, Shane" }, { "@type": "Person", "name": "Scholick-Schlomer, Amy" }, { "@type": "Person", "name": "Sisson, Nicholas B." }, { "@type": "Person", "name": "Staaterman, Erica" } ], "keywords": [ "Baleen whales", "Offshore wind energy", "Marine mammal monitoring and mitigation", "IOOS Marine Life", "BioICE", "Environment", "Passive acoustic recording systems", "Data acquisition", "Data aggregation", "Data analysis", "Data archival\/stewardship\/curation", "Data delivery", "Data exchange", "Data format development", "Data interoperability development", "Data management planning and strategy development", "Data policy development", "Data processing", "Data quality control", "Data visualization", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1558", "name": "argoFloats: an R Package for Analyzing Argo Data.", "description": " - An R package named argoFloats has been developed to facilitate identifying, downloading, caching, and analyzing oceanographic data collected by Argo profiling floats. The analysis phase benefits from close connections between argoFloats and the oce package, which is likely to be familiar to those who already use R for the analysis of oceanographic data of other kinds. This paper outlines how to use argoFloats to accomplish some everyday tasks that are particular to Argo data, ranging from downloading data and finding subsets to handling quality control and producing a variety of diagnostic plots. The benefits of the R environment are sketched in the examples, and also in some notes on the future of the argoFloats package. - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - 2020-11-30 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1558", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1558", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1558", "url": "https:\/\/hdl.handle.net\/11329\/1558" }, "author": [ { "@type": "Person", "name": "Kelley, Dan E." }, { "@type": "Person", "name": "Harbin, Jaimie" }, { "@type": "Person", "name": "Richards, Clark" } ], "keywords": [ "Argo floats", "R language", "Computer program", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data processing", "Data Management Practices::Data analysis", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1287", "name": "Strategic Sargassum Preparedness Plan.", "description": " - The objective of the Sargassum Preparedness Plan is to address the impacts of sargassum while capitalizing from its opportunities. To thoroughly understand the current research on sargassum and how the influxes are affecting Dominica and its fisheries, research was completed through a multi-step process. A literature review and informal stakeholder consultations were chosen as the best suitable method for data collection. Through this process, contextual best management practices were determined to mitigate the influxes of sargassum in Dominica. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1287", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1287", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1287", "url": "https:\/\/hdl.handle.net\/11329\/1287" }, "contributor": [ { "@type": "Organization", "name": "Fisheries Division, Ministry of Agriculture, Food and Fisheries,Commonwealth of Dominic" } ], "keywords": [ "Sargassum", "Seaweed", "Environmental impact", "Mitigation", "Management brief", "Economic impact", "Influx", "Agriculture uses", "Energy resource", "Coastal ecosystem", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2095", "name": "Environmental DNA protocol development guide for biomonitoring.", "description": " - The Environmental DNA protocol development guide for biomonitoring (EP guide for biomonitoring) provides harmonised quality control and minimum standard operating procedures. This document is complemented by the Environmental DNA test validation guidelines, which has been published in parallel with the EP guide for biomonitoring. The EP guide for biomonitoring provides information to create standard operating procedures for eDNA\/ eRNA projects, whereas the eDNA test validation guidelines focus on advice for the development and use of eDNA and eRNA assays. This document is a comprehensive guide for the development and use of eDNA\/eRNA test protocols, as recommended and curated by experts, stakeholders and end users in Australia and New Zealand. The EP guide for biomonitoring covers protocols for both single species (qPCR) and multispecies (metabarcoding) projects. Differences between approaches are highlighted in relevant sections throughout the guidelines. The guide is designed to support a consistent and best-practice approach to eDNA\/eRNA testing to help detect species of interest. This approach ensures that surveillance and resource managers are provided with robust scientific evidence to support decision making. Environmental RNA-based methods differ primarily from eDNA in the molecules they target. The different function of RNA in living organisms means that its detection is more likely to reflect metabolically active organisms. Current eRNA applications exploit its rapid degradation to quantify temporally recent or metabolically active communities (Pokon et al. 2017, Yates et al. 2021), providing important information to assess the active presence of species in an environment. Note on the use of the terms eDNA and eRNA: Protocols for the use of eDNA and eRNA-based methods have considerable overlap; we therefore use the term \u2018eDNA\u2019 throughout the text when protocols are applicable to both eDNA and eRNA methods. Specific eRNA protocols are discussed separately when different protocols are required. - , - Australian Government Department of Agriculture, Fisheries and Forestry, and led by Alejandro Trujillo-Gonzalez (ATG) of the University of Canberra and Maarten De Brauwer (MDB) of CSIRO. Anastasija Zaiko \u2018s contribution was supported by the New Zealand Ministry of Business, Innovation and Employment funding (CAWX1904 \u2014 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - National - , - Species distributions - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2095", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2095", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2095", "url": "https:\/\/hdl.handle.net\/11329\/2095" }, "author": [ { "@type": "Person", "name": "De Brauwer, M." }, { "@type": "Person", "name": "Chariton, A." }, { "@type": "Person", "name": "Clarke, L.J." }, { "@type": "Person", "name": "Cooper, M.K." }, { "@type": "Person", "name": "DiBattista, J." }, { "@type": "Person", "name": "Furlan, E." }, { "@type": "Person", "name": "Giblot-Ducray, D." }, { "@type": "Person", "name": "Gleeson, D." }, { "@type": "Person", "name": "Harford, A." }, { "@type": "Person", "name": "Herbert, S." }, { "@type": "Person", "name": "MacDonald, A.J." }, { "@type": "Person", "name": "Miller, A." }, { "@type": "Person", "name": "Montgomery, K." }, { "@type": "Person", "name": "Mooney, T." }, { "@type": "Person", "name": "Noble, L.M." }, { "@type": "Person", "name": "Rourke, M." }, { "@type": "Person", "name": "Sherman, C.D.H." }, { "@type": "Person", "name": "Stat, M." }, { "@type": "Person", "name": "Suter, L." }, { "@type": "Person", "name": "West, K.M." }, { "@type": "Person", "name": "White, N." }, { "@type": "Person", "name": "Villacorta-Rath, C." }, { "@type": "Person", "name": "Zaiko, A." }, { "@type": "Person", "name": "Trujillo-Gonzalez, A." } ], "contributor": [ { "@type": "Organization", "name": "National eDNA Reference Centre" } ], "keywords": [ "Biota composition", "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2113", "name": "Challenges and supports for women conservation leaders.", "description": " - Leadership and inclusivity are increasingly recognized as fundamental to conservation success, yet women's leadership within the conservation profession is understudied. This study identifies gender-related challenges women conservation leaders experienced in their careers, and supports helping them advance. Using an intersectionality framing to identify intersections between gender, race\/ethnicity, age, and leadership position, we conducted and analyzed semi-structured interviews with 56 women leaders in conservation organizations across the United States. All interviewees reported experiencing or witnessing a gender-related workplace challenge in at least one of six categories, and the vast majority reported encountering four or more of these challenges: salary inequality and difficulty negotiating, formal exclusion, informal exclusion, harassment and inadequate organizational response, assumptions of inadequacy, and assumptions of wrongness. Participants also experienced two categories of supports: structural supports and supportive relationships. Women's experiences varied based on age, race and ethnicity, and leadership position. Our results indicate more effort is needed to identify effective strategies for making conservation a more inclusive, empowering, and appealing profession in which to work. - , - Refereed - , - 5.1 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2113", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2113", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2113", "url": "https:\/\/hdl.handle.net\/11329\/2113" }, "author": [ { "@type": "Person", "name": "Jones, Megan" }, { "@type": "Person", "name": "Solomon, Jennifer" } ], "keywords": [ "Gender equality", "Conservation science", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/886", "name": "Guide to Meteorological Instruments and Methods of Observation: (CIMO guide). 2014 edition, updated in 2017.[SUPERSEDED]", "description": " - The first edition of the Guide to Meteorological Instruments and Methods of Observation (WMONo. 8) was published in 1954 and consisted of twelve chapters. Since then, standardization has remained a key concern of the Commission for Instruments and Methods of Observation (CIMO) activities. The Commission continuously reviews the contents of the Guide and ensures that its regular update incorporates modern guidance material which reflects the rapid development of technologies and their implementation in the field of meteorological instruments and methods of observation. This Guide is a key resource that provides a description of most instruments, systems and techniques in regular use, from the simplest to the most complex and sophisticated, but does not attempt to deal with methods and instruments used only for research. The purpose of the Guide is to provide best practices, procedures and the basic capabilities of instruments and systems for assisting National Meteorological and Hydrological Services and other interested users operating observing systems in the preparation of their manuals and procedures to meet their specific needs for measurements and observations. The Guide intentionally restricts standardization to the essential requirements only, and confines recommendations to the general features most common to various configurations of a given instrument or measurement system, thus enabling wide areas for further development. The Guide is the authoritative reference for all matters related to instrumentation and methods of observation in the context of WIGOS. This persistent work of experts has resulted in the 2014 edition of the Guide, which was approved by CIMO at its sixteenth session, held in Saint Petersburg, Russian Federation, in July 2014. In addition to almost all chapters being updated, the new edition includes a number of fully revised chapters and an extensive new part on space-based observations. The important impact of the recent Minamata Convention on Mercury of the United Nations Environment Programme in regard to mercury-based instruments is particularly highlighted in the relevant chapters. The current Guide consists of 38 chapters distributed over the following four parts: Measurement of Meteorological Variables, Observing Systems, Space-based Observations, and Quality Assurance and Management of Observing Systems. In the process of updating the CIMO Guide, WMO has benefited from the excellent collaboration that took place between CIMO and the Commission for Atmospheric Sciences, the Joint WMO\/ IOC Technical Commission for Oceanography and Marine Meteorology, the Commission for Basic Systems and the Global Climate Observing System, which provided significant contributions to the new edition of the Guide. On behalf of the World Meteorological Organization, I would like to take the opportunity to express my sincere gratitude to CIMO and to all involved experts, whose tremendous efforts have enabled the publication of this new edition. - , - Published - , - Refereed - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/886", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/886", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/886", "url": "https:\/\/hdl.handle.net\/11329\/886" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological data", "Meteorological observations", "Meteorological observing systems", "Air temperature measurement", "Quality assurance", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2224", "name": "Ideas and perspectives: Proposed best practices for collaboration at cross-disciplinary observatories,", "description": " - Interdisciplinary science affords new opportunities but also presents new challenges for biogeosciences collaboration. Since 2007, we have conducted site-based interdisciplinary research in central PA, USA, at the Susquehanna Shale Hills critical zone observatory. Early in our collaboration, we realized the need for some best practices that could guide our project team. While we found some guidelines for determining authorship on papers, we found fewer guidelines describing how to collaboratively establish field sites, share instrumentation, share model code, and share data. Thus, we worked as a team to develop a best practices document that is presented here. While this work is based on one large team project, we think many of the themes are universal, and we present our example to provide a building block for improving the function of interdisciplinary biogeoscience science teams. - , - Refereed - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2224", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2224", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2224", "url": "https:\/\/hdl.handle.net\/11329\/2224" }, "author": [ { "@type": "Person", "name": "Kaye, Jason Philip" }, { "@type": "Person", "name": "Brantley, Susan L." }, { "@type": "Person", "name": "Zan Williams, Jennifer" } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/104", "name": "Techniques and Benefits of Satellite Data and Wave Models.", "description": " - Satellite wave model - , - This report documents techniques and benefits of satellite data in wind and wave models. It provides an overview of available satellite wind and wave data and their possible usage based on the questionnaire prepared by the Expert Team on Wind Waves and Storm Surges (ETWS) to collect information on Members' use of wind and wave satellite data, in particular, regarding type of sensor used, satellite name, real time use, product name, data format, provider, areas of concern, purpose of use, quality control and status of the data use. A brief description of various satellite instruments that provide ocean wind and wave data is presented in Section 2. These satellite instruments produce a precious and extensive source of data, generally with global coverage. This has a significant importance for atmospheric and wave models, as they can combine these types of data with other data sources, using assimilation techniques to produce the best estimate of the atmosphere and the oceans states. Such data can also be used for climate and various model verification studies. Section 3 summarizes all purposes of use satellite data, and Section 4 lists several concluding remarks. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-33\/J-TR-33.pdf - , - Publication OK - linked to JCOMM TR No. 30 - this is the 1st publication produced. should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/104", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/104", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/104", "url": "https:\/\/hdl.handle.net\/11329\/104" }, "author": [ { "@type": "Person", "name": "Lefevre, J-M." }, { "@type": "Person", "name": "Bidlot, J-R." }, { "@type": "Person", "name": "Abdalla, S." } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Satellite wave model", "Expert Team on Wind Waves and Storm Surges" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/88", "name": "Manual for Monitoring Oil and Dissolved\/Dispersed Petroleum Hydrocarbons in Marine Waters and on Beaches.", "description": " - marine pollution; water sampling; water pollution; hydrocarbons; beaches; sea water; guides - , - This document describes the procedures for field sampling and observations, laboratory analyses, data reduction and reporting for the petroleum component of the IOC Marine Pollution Monitoring System (MARPOLMOM-P). - , - https:\/\/unesdoc.unesco.org\/search\/3359aae9-5808-4aaa-9158-61d09df04053 - , - check with IODE GEBICHE for update status - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/88", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/88", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/88", "url": "https:\/\/hdl.handle.net\/11329\/88" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Oil marine monitoring coastal" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2556", "name": "SISP 8 - Manual for the International Baltic Acoustic Surveys (IBAS). Version 2.", "description": " - The acoustic surveys have been conducted in the Baltic Sea internationally since 1978. The starting point was the cooperation between Sweden and the German Democratic Republic in October 1978, which produced the first acoustic estimates of total biomass of herring - Clupea harengus and sprat - Sprattus sprattus in the Baltic Proper (H\u00e5kansson et al., 1979). Since then there has been at least one annual hydroacoustic survey for herring and sprat stocks mainly for assessment purposes and results have been reported to ICES to be used for stock assessment (Hagstr\u00f6m et al., 1991; ICES, 1994a, 1995a, 1995b; 2006; Gasyukov et al., 2009; Grygiel and Or\u0142owski, 2009). At the ICES Annual Science Conference in September 1997, the Baltic Fish Committee decided, that a manual for the International Baltic Acoustic Surveys (IBAS) should be elaborated. The structure of the manual follows that of the Baltic International Trawl Surveys (BITS). In order to obtain standardization for all ICES acoustic surveys some demands from the Manual for Herring Acoustic Surveys in ICES Divisions 3, 4 and 6 (ICES, 1994b) are adopted. The objective of the Baltic International Acoustic Survey (BIAS) and Baltic Acoustic Spring Survey (BASS) programs are to standardize survey design, acoustic measurements, fishing method and data analysis throughout all national surveys where data are used as abundance indices for Baltic herring, sprat and to some extent cod stocks assessment purposes. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2556", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2556", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2556", "url": "https:\/\/hdl.handle.net\/11329\/2556" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Stock assessment", "Cod", "Survey protocols", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1301", "name": "Assessment of control methods for the invasive seaweed Sargassum horneri in California, USA.", "description": " - Determining the feasibility of controlling marine invasive algae through removal is critical to developing a strategy to manage their spread and impact. To inform control strategies, we investigated the efficacy and efficiency of removing an invasive seaweed, Sargassum horneri, from rocky reefs in southern California, USA. We tested the efficacy of removal as a means of reducing colonization and survivorship by clearing S. horneri from 60 m2 circular plots. We also examined whether S. horneri is able to regenerate from remnant holdfasts with severed stipes to determine whether efforts to control S. horneri require the complete removal of entire individuals. The experimental removal of S. horneri in early winter, just prior to the onset of reproduction, reduced recruitment in the next generation by an average of 54% and reduced survivorship to adulthood by an average of 25%. However, adult densities one year after clearing averaged 83% higher in removal plots and 115% higher in control plots. We attribute these higher densities to anomalously warm water associated with the 2015\u201316 El Ni\u00f1o that reduced native canopy-forming algae and enhanced the recruitment and survival of S. horneri. We did not find any evidence to suggest that S. horneri has the capacity to regenerate, indicating that its control via removal does not require the tedious task of ensuring the removal of all living tissue. We developed efficiency metrics for manual removal with and without the aid of an underwater suction device and found the method with maximum efficiency (biomass removed worker-1 hr-1) varied based on the number of divers and surface support workers. Our findings suggest that controlling S. horneri via removal will be most effective if done over areas much larger than 60 m2 and during cool-water years that favor native algae. Such efforts should be targeted in places such as novel introduction sites or recently invaded areas of special biological or cultural significance where S. horneri has not yet become widely established. - , - Presented at: Proceedings of the 9th International Conference on Marine Bioinvasions (19\u201321 January 2016, Sydney, Australia) - , - Refereed - , - 14.2 - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1301", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1301", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1301", "url": "https:\/\/hdl.handle.net\/11329\/1301" }, "author": [ { "@type": "Person", "name": "Marks, Lindsay M." }, { "@type": "Person", "name": "Reed, Daniel C." }, { "@type": "Person", "name": "Obaza, Adam K." } ], "keywords": [ "Introduced species", "Sargassum", "Seaweed", "Rocky reef", "Sargassum filicinum", "Invasive species", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/295", "name": "Legal Interoperability of Research Data: Principles and Implementation Guidelines. Version 1.0.", "description": " - The ability of the research community to share, access, and reuse data, as well as to integrate data from diverse sources for research, education, and other purposes requires effective technical, syntactic, semantic, and legal interoperability rules and practices. These Principles focus on legal interoperability because there tends to be misunderstanding and lack of knowledge and guidance about legal issues concerning research data generally. These Legal Interoperability Principles are offered as high-level guidance to all members of the research community\u2014the funders, managers of data centers, librarians, archivists, publishers, policymakers, university administrators, individual researchers, and their legal counsel\u2014who are engaged in activities that involve the access to and reuse of research data from diverse sources.3 The Principles are synergistic, so their greatest benefit is realized when they are considered together. - , - RDA, CODATA, ZENODO - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/295", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/295", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/295", "url": "https:\/\/hdl.handle.net\/11329\/295" }, "contributor": [ { "@type": "Organization", "name": "ZENODO for RDA and CODATA" } ], "keywords": [ "Research data", "Legal issues", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data policy development", "Data Management Practices::Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1370", "name": "Passive acoustic monitoring in ecology and conservation.", "description": " - are urgently needed to understand how global change is affecting wildlife and ecosystems. Sound is an important component of any habitat, and sound recordings made in the field offer potentially rich sources of ecological information about the abundance, distribution and behaviour of vocalising animals in an area. Acoustic sensors are therefore becoming widely used in ecology and conservation settings to monitor animal populations, behaviour, and responses to environmental change. In recent years the burgeoning field of ecoacoustics has also begun providing insights into acoustic community dynamics at larger scales. With technological improvements making sophisticated off-the-shelf bioacoustic sensors increasingly affordable, it is an exciting and fast-moving time for acoustic wildlife monitoring. Research in this field is now addressing fundamental questions in ecology and animal behaviour, but is also becoming increasingly useful in applied conservation settings, such as monitoring populations of endangered or data-deficient species, or monitoring illegal activities in high-risk areas. However, despite this rapid growth in potential uses, there remains a lack of best-practice guidelines for researchers wishing to deploy acoustic sensors in the field to address particular questions. This guide seeks to address this gap, by providing an introduction to acoustic monitoring technology and its current and emerging uses in ecology and conservation, alongside clear guidelines for acoustic sensor deployment, survey design and data analysis. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1370", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1370", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1370", "url": "https:\/\/hdl.handle.net\/11329\/1370" }, "author": [ { "@type": "Person", "name": "Browning, Ella" }, { "@type": "Person", "name": "Gibb, Rory" }, { "@type": "Person", "name": "Glover-Kapfer, Paul" }, { "@type": "Person", "name": "Jones, Kate E." } ], "contributor": [ { "@type": "Organization", "name": "WWF-UK" } ], "keywords": [ "Acoustic sensors", "Acoustic monitoring", "Conservation", "Field ecology", "Ecoacoustics", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2356", "name": "Deliverable D.5.3, WP5: Report on the Key Platform Performance Indicators and Key Integration Performance Indicators developed for the JERICO-RI. Version 3.0.", "description": " - This document reports on the development of Key Platform Performance Indicators and Key Integration Performance Indicators for assessing the performances of the observing platforms of the JERICO-RI, including the level of their integration at the network level. The activity forms part of Work Package 5 (\u201cHarmonisation of integrated Multiplatform & Multidisciplinary systems\u201c) of JERICO-S3, specifically, Task 5.4 (\u201cPerformance Monitoring for the operation and integration of JERICO-RI platforms\u201d), which gathers together the approaches and recommendations of 9 partners of the project. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2356", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2356", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2356", "url": "https:\/\/hdl.handle.net\/11329\/2356" }, "author": [ { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Mader, Julien" }, { "@type": "Person", "name": "Mantovani, Carlo" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO S3" } ], "keywords": [ "Key Performance Indicators (KPI)", "Key Platform Performance Indicators (KPPI)", "Key Integration Performance Indicators (KIPI)", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1548", "name": "Document describing the biological data. JERICO-NEXT WP5, Deliverable D5.5, Version 3.", "description": " - Integration of biological data(Task 5.2) in coastal observatories has been one of the key objectives of the JERICO-NEXT project. Biological data collection has taken place in the framework of JRAP1 and JRAP2 (planktonic and benthic communities) using both traditional and novel observing methodologies.The objective of this task is to provide an operational link between EMODnet Biology and JERICO-NEXT, and to make the JRAP1 and JRAP2 data discoverable by users and increase its FAIRness. All the biological data in the project has been described and is findable in the EMODnet Biology catalogue and through a map viewer interface. To ensure its reusability, dataset descriptions contain machine-readable licenses that have been agreed with the data providers. A considerable amount of these data is nowaccessible via EMODnet Biology through different mechanisms: a) links to local data systems or repositories; b) a download link to data files in the Marine Data Archive; c) direct download from EMODnet Biology or integrated in the EMODnet Biology download toolbox. The method chosen depends on the degree or the standardisation possibilities that the data outputs offer. Making the biological data from novel sensors interoperable remains a challenge due to a lack of mature standards for data types that are still in earlier stage of development. Significant improvements have been achieved in the framework of the Sea Data Cloud project to develop controlled vocabularies for Flowcytometry (FCM) data. During the length of the project, EMODnet Biology and OBIS have transitionedto a new data schema (Darwin Core OBIS-ENV) which brings more flexibility and allows the inclusion of new data types (both biotic and abiotic). The upgraded data schema has allowed for the integration of tests FCM datasets in EMODnet Biology which, together with new developments in the download toolbox, have made JERICO-NEXT data discoverable at the record levelin the EMODnet Biology portal.Despite these achievements, significant efforts are needed in terms of harmonisation throughout all the data management phases, definition of best practices and development of semantic standards for these new data types. This is the only way to ensure thatwe can exploit the monitoring capabilities of these novel observation methodologies with the appropriate certainty. These should be priorities during the next phase of JERICO-RI. However, it also needs to be recognised that putting data management into practice and opening the data is a resource consuming activity, both at the end-side of the chain (i.e. data aggregators or repositories), but also for data collectors and scientists at the initial steps. Data management needs to be appropriately funded throughout all these different stages to avoid potential bottlenecks, which might hinder the actual publication of data. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1548", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1548", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1548", "url": "https:\/\/hdl.handle.net\/11329\/1548" }, "author": [ { "@type": "Person", "name": "Oset, P." } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO NEXT" } ], "keywords": [ "JERICO-NEXT", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data processing", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1821", "name": "Management and utilization of seals in Greenland. Revised April 2012.", "description": " - 1. Species: There are six different species of seals in the Greenlandic waters. Five of the species have been hunted for centuries, but today the catch is focused on the harp seal, ringed seal and hooded seal with great importance to the Inuit hunters. The seal populations hunted in Greenland's waters counts more than 12 million seals. 2. Sustainability and biological advice: There are no quotas on seals in Greenland, as the harvest level is relatively low compared with the number of seals. The populations of harp and hooded seals have, however, also been subjected to commercial sealing by Canadian, Norwegian and Russian sealers, and their numbers and reproduction have, therefore, been monitored carefully for many decades. These species are now managed after an internationally-recognized, conservative cautionary approach within marine mammal management called Potential Biological Removal (PBR). According to the Red List of Greenland (2007) none of the three species are endangered. The Red List's assessments are carried out by the guidelines of the international Red List; conducted by The International Union for Conservation of Nature (IUCN). Furthermore, in 2004, IUCN openly supported sustainable harvesting principles in relation to the abundant seal populations; rather than protection of these species. - Harp seal: Harp seals are divided into three populations; one that breeds in the White Sea (Russia), one in the Greenland Sea (off Northeast Greenland) and one off Newfoundland (Canada). Most Greenland catches are from the population shared with Canada. The latest survey result for this population is from 2008, which found that 1.6 million newborn pups were born that spring, and that this corresponds to a total population of about 8 million. The population is believed to have increased further, so that it now counts more than 9 million seals. The current population might be at its highest level ever; hence, higher than before the commercial hunt began. This is possible because other components in the ecosystem, ex. cod and some of the large whales, are relatively smaller compared to what they have been. The total allowable catch (TAC) for Canada was set to 400,000 in 2011, but only 38,018 harp seals were taken. The Greenland catches has in the latest decade averaged 82,000\/yr. harp seals. - Ringed seal: The world population of ringed seals is estimated to be around 5-7 million seals. Approximately 50 % of the Greenland catch of about 78,000\/yr. since 2000, is taken in Baffin Bay. The population of ringed seals in Baffin Bay and adjacent areas is estimated to be around 1.2 million seals (NAMMCO). Sustainability of the catch is assumed, because the ringed seal is widely and evenly distributed across most of the Arctic. They do not concentrate in breeding areas like the harp seals, and can, therefore, not be hunted in the same industrial way. The area, where they are hunted by the Inuit in Greenland and Canada, only constitute a tiny fraction of their habitat. 2 Hooded seal: Close to all catches of hooded seals in Greenland, average of 4,600\/yr., since 2000, is from the Northwest Atlantic population, which is estimated to be around 600,000 seals (ICES\/NAFO). The Canadian TAC, which takes a free hunt in Greenland into account, is set to 8,200, but less than 100 has been taken in recent years. 3. Hunting methods in Greenland: The catch of harp seals takes place all year round, but predominantly during summer and falls in open water and is a small-scale hunt. The hunter localizes the seal and shoots it with a rifle. In northern Greenland during the dark winter months netting is the prevailing method for the hunters to catch ringed seals. In spring, when ringed seals haul-out on the ice, hunters use white screens to sneak up to an appropriate shooting distance and shoot the seal dead in the head. In The European Food & Safety Agency\u2019s (EFSA) study, the rifle hunt is accepted as a humane hunting method. 4. The Greenlandic catch: There are about 2,100 full time and 5,500 leisure time hunters in Greenland. Altogether, there are just under 8,000 hunters in Greenland. The full time hunters constitute almost 7 % of the work force (app. 32,000) in Greenland (2011). 5. Economy \u2013 household as well as national: For the 2,100 professional hunters in Greenland, the income from the seal hunt is vital. The household economy for the hunter is mixed. The income from the seal hunt (from selling and\/or giving the meat) serves as a subsistence supplement to the barter economy still existing in small communities dispersed in Greenland. It also serves as direct cash flow income for the hunter; namely the sale of the seal skin from which some hunters get approx. half of their cash income covered, in order to feed their families. Often, the hunter in smaller communities is the breadwinner of the family. The average income for a hunter\u2019s municipality (e.g. Qaanaaq in northern Greenland) is approx. 16,000 \u20ac (2010). In terms of the national economy, the seal skin export has been steadily decreasing over the last couple of decades. It used to constitute an export item, besides the dominant export of fishery products, which account for 93 % (2011). An export hindrance would create social pressure on the national economy as hunters, relying on the cash flow income, would turn to social security benefits from the Greenlandic authorities. Furthermore, the seal skin processing has an intra-economic value, as different seal products are sold as handicrafts, clothing, national garments etc., some of which is sold to tourists. 6. Culture and tradition: Seal hunting is an important part of the Inuit culture, tradition and identity in Greenland. Since the arrival of the first Inuit, seals have provided basic nutrition as food for humans and dogs. Furthermore, items (blubber and skin) have provided shelter, fuel, lightning, tools, covers for tents and kayaks, as well as, clothing. The seal also plays an immense role in Greenlandic mythology. Today, the Inuit in Greenland have access to the items of the modern world, but the seal is still hunted for food and clothing, and as part of a traditional legitimate leisure activity, in which all parts of the seal are used or consumed. 3 7. Rights of Indigenous Peoples: The Inuit in- and government of Greenland call upon the declaration of the rights of Indigenous Peoples, which all EU Member States have signed. Relevant articles related to the hindrance of commercial seal hunting are: - Indigenous Peoples have the right to freely pursue their economic [\u2026] development (art. 3) - Indigenous Peoples have the right to not be subjected to forced assimilation or destruction of their culture (art. 8). - Indigenous Peoples have the right to be secure on the enjoyment of their own means of subsistence [\u2026] and to engage freely in [\u2026] economic activities (art. 20). - States shall consult [\u2026] in good faith with the Indigenous Peoples concerned [\u2026] in order to obtain the free and informed consent prior to the approval of any project affecting their [\u2026] resources (art. 32, \u00a72). 8. Legislation - regulation, control and monitoring: In Greenland, the law on hunting from 1999 and the law on protection of nature and wildlife from 2003 constitute the overall frame regarding wildlife regulation. From December 1st, 2010, a national executive order regarding the protection of seals and regulation of sealing came into force. The municipalities (four) set local regulation on seal hunting; but, as a rule of thumb, seals can be hunted all year around; provided that hunters have a permit. There are no quotas on the seals hunted; however, the permits are used to control and monitor the harvest, as hunters are required to report their annual catches. 9. International cooperation on seals: Greenland cooperates with the International Council for the Exploration of the Sea\u2019s (ICES\/NAFO) Working Group on Harp and Hooded Seals and, also, with the North Atlantic Marine Mammal Commission (NAMMCO), which has a task force covering the studies and monitoring of seal populations. Within NAMMCO, a Seal Management Committee has been established in 2006; chaired by Greenland. 10. International trade bans on seal skins and seal products: The Marine Mammal Protection Act (MMPA) of the United States enacted on October 21, 1972. The Council Directive 83\/129\/EEC (European Economic Community) of 28 March 1983 concerning the importation into Member States of skins of certain seal pups and products derived therefrom. Regulation (EC) No 1007\/2009 of the European Parliament and of the Council of 16 September 2009 on trade in seal products, including an exemption for Inuit. Commission Regulation (EU) No 737\/2010 of 10 August 2010 laying down detailed rules for the implementation of regulation No 1007\/2009. - , - Government of Greenland, Ministry of Fisheries, Hunting & Agriculture - , - Published - , - 1. Arter Der findes seks forskellige s\u00e6larter i de gr\u00f8nlandske farvande. Fem af disse arter har v\u00e6ret jagede i \u00e5rhundreder, men i dag er jagten koncentreret omkring gr\u00f8nlandss\u00e6l, rings\u00e6l og klapmyds, som har stor betydning for Inuit. De s\u00e6lbestande, der jages i Gr\u00f8nland, t\u00e6ller mere end 12 millioner individer. 2. B\u00e6redygtighed og biologiske anbefalinger Der er ikke fastsat kvoter for s\u00e6lfangsten i Gr\u00f8nland, og antallet af fangster er lavt set i forhold til bestandenes st\u00f8rrelse. Bestandene af gr\u00f8nlandss\u00e6l og klapmyds har imidlertid v\u00e6res genstand for kommerciel fangst fra canadisk, norsk og russisk side, og deres st\u00f8rrelse og reproduktion har derfor v\u00e6ret n\u00f8je overv\u00e5get i mange \u00e5rtier. Disse arter administreres i henhold til internationalt anerkendte konservative principper inden for forvaltning af havpattedyr, der kaldes Potential Biological Removal (PBR). If\u00f8lge r\u00f8dlisten for Gr\u00f8nland fra 2007 er ingen af de tre arter truede. R\u00f8dlistens fasts\u00e6ttelser sker p\u00e5 baggrund af anbefalingerne fra den internationale r\u00f8dliste, der varetages af International Union for Conservation of Nature (IUCN). Herudover st\u00f8ttede IUCN i \u00e5r 2004 \u00e5bent b\u00e6redygtige fangstprincipper i forhold til righoldige s\u00e6lbestande frem for beskyttelse af disse. Gr\u00f8nlandss\u00e6l Gr\u00f8nlandss\u00e6len er opdelt i tre bestande: en, der yngler i Hvidehavet (Rusland), en i Gr\u00f8nlandshavet (ud for Nord\u00f8stgr\u00f8nland) og en ud for Newfoundland (Canada). De fleste fangster i Gr\u00f8nland sker fra en bestand, der deles med Canada. Den sidste unders\u00f8gelse af denne bestand er fra 2008. Den viste, at der dette for\u00e5r ud af en samlet bestand p\u00e5 8 millioner individer f\u00f8dtes 1,6 millioner unger. Bestanden menes at v\u00e6re \u00f8get yderligere, s\u00e5ledes at den nu udg\u00f8res af mere end 9 millioner s\u00e6ler. Den nuv\u00e6rende bestand er m\u00e5ske p\u00e5 sit h\u00f8jeste niveau nogensinde og er derfor ogs\u00e5 h\u00f8jere, end f\u00f8r den erhvervsm\u00e6ssige s\u00e6lfangst begyndte. Dette skyldes andre komponenter i \u00f8kosystemet f.eks. bestandene af torsk og nogle af de store hvaler er mindsket i forhold til tidligere. Den samlede tilladte fangstm\u00e6ngde, Total Allowable Catch (TAC), for Canada blev i 2011 sat til 400.000, hvoraf kun 38.018 blev udnyttet. De gr\u00f8nlandske fangster har i det sidste \u00e5rti ligget p\u00e5 82.000 gr\u00f8nlandss\u00e6ler i gennemsnit pr. \u00e5r. Rings\u00e6l Verdensbestanden af rings\u00e6l antages at ligge omkring 5-7 millioner s\u00e6ler. Siden 2000 er ca. 50 % af de gr\u00f8nlandske fangster p\u00e5 78.000 pr. \u00e5r sket i Baffinbugten. Bestanden af rings\u00e6l i Baffinbugten og tilst\u00f8dende omr\u00e5der ansl\u00e5s (iflg. NAMMCO) til at best\u00e5 af 1,2 millioner s\u00e6ler. Fangsten anses for at v\u00e6re b\u00e6redygtig, fordi rings\u00e6len er j\u00e6vnt og bredt udbredt over det meste af Arktis, og de samler sig ikke som gr\u00f8nlandss\u00e6len i bestemte yngleomr\u00e5der og kan derfor ikke jages p\u00e5 samme industrielle m\u00e5de. Omr\u00e5det, hvori de jages af Inuit i Gr\u00f8nland og Canada, udg\u00f8r kun en lille del af deres habitat. Klapmyds Siden \u00e5r 2000 er n\u00e6sten alle fangster af klapmyds i Gr\u00f8nland med et gennemsnit p\u00e5 4.600 pr. \u00e5r sket fra den nordvestatlantiske bestand, som ansl\u00e5s at udg\u00f8re 600.000 individer (ICES\/NAFO). Den samlede tilladte 5 fangstm\u00e6ngde (TAC) for Canada, som tager hensyn til den gr\u00f8nlandske fangst, er fastsat til 8.200, men i de sidste \u00e5r er mindre end 100 blevet fanget. 3. Jagtmetoder i Gr\u00f8nland Jagt p\u00e5 gr\u00f8nlandss\u00e6l foreg\u00e5r \u00e5ret rundt men fortrinsvis om sommeren og i efter\u00e5ret p\u00e5 \u00e5bent vand og kun i mindre omfang. Fangeren finder s\u00e6len og skyder den med riffel. I de m\u00f8rke vinterm\u00e5neder i Nordgr\u00f8nland er fangst af rings\u00e6l med net den mest udbredte metode blandt fangerne. I for\u00e5ret, n\u00e5r rings\u00e6lerne tr\u00e6kker op p\u00e5 isen, bruger fangerne hvide sk\u00e6rme til at snige sig ind p\u00e5 skudhold og skyder s\u00e6lerne i hovedet. I et studie fra The European Food & Safety Agency (EFSA) anerkendes jagt med riffel som en human jagtform. 4. Jagten i Gr\u00f8nland Der findes omkring 2.100 fuldtidsfangere og 5.500 fritidsfangere i Gr\u00f8nland. I alt er der lige under 8.000 fangere i Gr\u00f8nland. Fuldtidsfangere udg\u00f8r n\u00e6sten 7 % af den samlede gr\u00f8nlandske arbejdsstyrke (p\u00e5 ca. 32.000 i \u00e5r 2011). 5. Privat- s\u00e5vel som national\u00f8konomi Indkomsten fra s\u00e6ljagten er af vital betydning for de 2.100 professionelle fangere i Gr\u00f8nland. Fangernes privat\u00f8konomi er blandet. Indt\u00e6gterne fra s\u00e6ljagten (i form af salg og\/eller som ern\u00e6ring) tjener som et supplement til den bytte\u00f8konomi, der stadig findes i de sm\u00e5 samfund, der er spredt ud over Gr\u00f8nland. De tjener ogs\u00e5 som direkte kilde til kontante penge for fangeren - nemlig i form af salg af s\u00e6lskind, hvorfra nogle fangere erhverver omkring halvdelen af den n\u00f8dvendige indt\u00e6gt til at underholde deres familier. I mindre fangersamfund er fangeren ofte ene fors\u00f8rger for en familie. Gennemsnitsindkomsten for en fanger i en kommune som f.eks. Qaanaaq i Nordgr\u00f8nland er omkring 119.000 kr. (for \u00e5r 2010). Set i national\u00f8konomisk perspektiv har s\u00e6lskindseksporten v\u00e6ret st\u00f8t faldende over de sidste \u00e5rtier, hvor den tidligere udgjorde en eksportvare sammen med den altoverskyggende eksport af fiskeriprodukter, som i \u00e5r 2011 udgjorde 93 %. En begr\u00e6nsning i eksporten vil skabe et socialt pres p\u00e5 national\u00f8konomien eftersom fangere, der er afh\u00e6ngige af deres kontante indtjening, vil skulle overg\u00e5 til sociale ydelser fra de gr\u00f8nlandske myndigheder. Ud over eksporten har bearbejdning af s\u00e6lskind intern \u00f8konomisk v\u00e6rdi og forskellige produkter af s\u00e6l s\u00e6lges som kunsth\u00e5ndv\u00e6rk, bekl\u00e6dning, nationaldragter osv., hvoraf nogle s\u00e6lges til turister. 6. Kultur og tradition S\u00e6ljagten er en v\u00e6sentlig del af inuitkulturen, traditionen og identiteten i Gr\u00f8nland. Siden de f\u00f8rste inuitter ankom, har s\u00e6ljagt dannet f\u00f8degrundlag for mennesker og hunde. Hertil kommer at sp\u00e6k og skind har givet ly, br\u00e6ndsel, lys, v\u00e6rkt\u00f8j, telte og kajakovertr\u00e6k tillige med bekl\u00e6dning. S\u00e6len spiller ogs\u00e5 en um\u00e5delig stor rolle i den gr\u00f8nlandske mytologi. I dag har inuit i Gr\u00f8nland adgang til den moderne verdens bekvemmeligheder, men s\u00e6l jages stadig som kilde til f\u00f8de og bekl\u00e6dning, og s\u00e6ljagt er en legitim fritidsaktivitet, hvor alle dele af s\u00e6len bruges eller konsumeres. 7. Oprindelige folks rettigheder Inuit og Gr\u00f8nlands Selvstyre p\u00e5kalder sig Erkl\u00e6ringen om oprindelige folks Rettigheder, som alle EU's medlemsstater har tiltr\u00e5dt. Relevante artikler i forhold til begr\u00e6nsninger af erhvervsm\u00e6ssig fangst af s\u00e6ler er: 6 \uf0b7 Oprindelige folk har ret til [...] og kan frit ud\u00f8ve deres \u00f8konomiske [...] kulturelle udvikling (artikel 3). \uf0b7 Oprindelige folk og enkeltpersoner har ret til ikke at blive udsat for tvunget assimilation eller \u00f8del\u00e6ggelse af deres kultur (artikel 8). \uf0b7 Oprindelige folk har ret til at opretholde og udvikle deres politiske, \u00f8konomiske og sociale systemer [...] og til frit at involvere sig i [...] \u00f8konomiske aktiviteter (artikel 20). \uf0b7 Staterne skal konsultere og i god tro samarbejde med de ber\u00f8rte oprindelige folk [...] for at indhente deres frie og informerede samtykke forud for godkendelse af ethvert projekt, der ber\u00f8rer deres [...] ressourcer (artikel 32, stk. 2). \uf0b7 8. Lovgivning - regulering, kontrol og overv\u00e5gning I Gr\u00f8nland udg\u00f8r Landstingslov om fangst og jagt fra 1999 og Landstingslov om naturbeskyttelse fra 2003 den overordnede ramme med hensyn til regulering af dyrelivet. Den 1. december 2010 tr\u00e5dte Selvstyrets bekendtg\u00f8relse om beskyttelse og fangst af s\u00e6ler i kraft. Kommunerne (fire stk.) kan regulere jagten p\u00e5 s\u00e6l lokalt, men som tommelfingerregel kan s\u00e6l jages \u00e5ret rundt, forudsat at fangeren har jagtbevis. Der findes ikke nogen kvoter for s\u00e6lfangsten, dog bruges jagtbeviserne som overv\u00e5gning, idet fangerne er forpligtede til at oplyse deres \u00e5rlige fangster. 9. Internationalt samarbejde om s\u00e6ler Gr\u00f8nland samarbejder med International Council for the Exploration of the Sea (ICES\/NAFO) i arbejdsgruppen vedr\u00f8rende gr\u00f8nlandss\u00e6l og klapmyds og med North Atlantic Marine Mammal Commission (NAMMCO), som har en task force, der d\u00e6kker studier og overv\u00e5gning af s\u00e6lbestande. I NAMMCO blev der i 2006 etableret en komite til forvaltning af s\u00e6ler (Seal Management Committee) under formandskab af Gr\u00f8nland. 10. Internationale handelsbegr\u00e6nsninger for s\u00e6lskind og produkter fra s\u00e6l Marine Mammal Protection Act (MMPA) (USA) af 21. oktober 1972. R\u00e5dets direktiv nr. 83\/129\/E\u00d8F (Det europ\u00e6iske \u00f8konomiske F\u00e6llesskab) af 28. marts 1983 om indf\u00f8rsel i medlemsstaterne af visse s\u00e6lungeskind og varer heraf. Europa-Parlamentets og R\u00e5dets forordning nr. 1007\/2009 af 16. september 2009 om handel med s\u00e6lprodukter, herunder en undtagelse for inuit. Kommissionens forordning nr. 737\/2010 af 10. august 2010 om gennemf\u00f8relsesbestemmelser til forordning nr. 1007\/2009 - , - Current - , - 14 - , - N\/A - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1821", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1821", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1821", "url": "https:\/\/hdl.handle.net\/11329\/1821" }, "contributor": [ { "@type": "Organization", "name": "Government of Greenland, Department of Fisheries, Hunting & Agriculture" } ], "keywords": [ "Indigenous communites", "Seals", "Indigenous rights", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/813", "name": "Performance Verification Statement for the Hach Environmental Hydrolab DS5X Sonde.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the Hach Environmental Hydrolab DS5X Sonde evaluated in the laboratory and under diverse field conditions in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.hachenvironmental.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/813", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/813", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/813", "url": "https:\/\/hdl.handle.net\/11329\/813" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1426", "name": "Specification of the SWE ingestion service, including SWE profiles and architecture. Version 1.3.", "description": " - SeaDataNet strives for a common standardised approach for describing and giving discovery and access to marine data from different marine disciplines. Next to delayed mode data sets by means of the CDI data discovery and access service, standardising efforts are also directed towards (near) real-time data streams as collected by operational sensors and platforms. For this application, the SeaDataCloud project has built upon these SWE standards to support the interoperable sharing of (near) real-time observation data streams. A SeaDataCloud team, led by partner 52\u00b0North, has developed the open source SeaDataNet SWE Toolkit which comprises the following components: - SWE Ingestion Service: this component supports sensor operators to receive and ingest marine observation data from platforms and sensors into a local storage database. From there (selected) data can be published as streams of (near) real-time observation data by means of SOS servers. As first step after installing the Ingestion service, the structure of the data stream has to be described in the local database, specifying platforms and sensors with SWE metadata profiles, supported by SeaDataNet SWE vocabularies, and using the 52\u00b0North SMLE editor. - SWE Viewing Services: This component, which is based on the 52\u00b0North Helgoland Sensor Web Viewer, is an application for exploring and visualising the data streams as retrieved through the SOS services. The viewer supports different types of observation data. It is capable to visualise data measured along trajectories (e.g. by research vessels) as well as profile data, besides time series data showing the historic variations of one or more parameters at fixed locations (e.g. fixed buoys and sensor stations). This document describes the SeaDataCloud SWE Ingestion Service and several related aspects (i.e. SWE Ingestion Architecture and necessary SWE profiles). The aim of this component is to support sensor operators, researchers and data owners during the publication of collected marine observation data. It is strongly based on interoperability standards for handling measurement data (especially the OGC Sensor Web Enablement Standards including OGC SOS, O&M as well as SensorML). - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1426", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1426", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1426", "url": "https:\/\/hdl.handle.net\/11329\/1426" }, "author": [ { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Autermann, Christian" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataCloud" } ], "keywords": [ "Sensor Web Enablement", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data interoperability development", "Data Management Practices::Metadata management", "Data Management Practices::Data exchange", "Data Management Practices::Data transformation\/conversion", "Data Management Practices::Data transmission\/networking", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/530", "name": "Guide to Marine Meteorological Services. 2017 edition. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-688]", "description": " - The internationally agreed methods of providing services to the marine community around the world are described in the Manual on Marine Meteorological Services (WMO-No. 558). The purpose of this Guide is to complement the Manual by: (a) Describing the requirements for the various types of service; (b) Explaining the rationale for the agreed methods of providing services; and, (c) Giving guidance on how to go about setting up and maintaining marine meteorological services. It follows the same structure as the Manual on Marine Meteorological Services and cross references are provided to relevant sections of the Manual. - , - Published - , - Refereed - , - Superseded - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/530", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/530", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/530", "url": "https:\/\/hdl.handle.net\/11329\/530" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological services", "Parameter Discipline::Atmosphere", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/844", "name": "Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos. N\u00famero 3\/2018", "description": " - The \u201cColombian Oceanographic Data and Information Coordination Committee\u201d (CTN Diocean, by its initials in Spanish) was created by Resolution No. 005\/2015 of the Colombian Ocean Commission (CCO, by its initials in Spanish), to promote the articulation of efforts and institutional capacities in colombian oceanographic data and marine information management. One of the concerns of the CTN Diocean is the ocean data and information access and exchange at the national, regional and local level; for this reason, it created the Working Group on Best Practices in Data Management (GT MPGD, by its initials in Spanish) and included in its Work Plan 2015-2020 the identification and recommendation of best practices on management, conservation, publication and exchange of colombian oceanic data. In this framework, the GT MPGD presents the thrid edition of a special publication titled \"Reference Manual on Best Practices of Oceanic Data Management\", which contains a set of recommendations already accepted in national and international community, which is expected to be incorporated by the producers and managers of Colombian ocean data and information. This edition includes guides and methodologies applied by colombian institutions in different stages of the ocean data life cycle. - , - Published - , - Colombia como Estado miembro de la Comisi\u00f3n Oceanogr\u00e1fica Intergubernamental (COI) de la Organizaci\u00f3n de las Naciones Unidas para la Educaci\u00f3n, la Ciencia y la Cultura (UNESCO), implementa las recomendaciones del programa para el Intercambio Internacional de Datos e Informaci\u00f3n Oceanogr\u00e1fica (IODE). El objetivo primordial de IODE es mejorar la investigaci\u00f3n marina, facilitando el intercambio de datos e informaci\u00f3n oceanogr\u00e1fica en respuesta a las necesidades de usuarios y productos de datos e informaci\u00f3n. A nivel nacional, IODE promueve el establecimiento de un Comit\u00e9 Nacional de Coordinaci\u00f3n que re\u00fana los principales actores involucrados en la recopilaci\u00f3n y gesti\u00f3n de datos, incluido el Centro Nacional de Datos Oceanogr\u00e1ficos (NODC), para encargarse entre otras tareas, de fomentar el uso de metodolog\u00edas est\u00e1ndar y mejores pr\u00e1cticas para el correcto manejo de datos. Es as\u00ed como en Colombia, esta figura fue adoptada en el 2015 por la Comisi\u00f3n Colombiana del Oc\u00e9ano (CCO), con el nombre \u201cComit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n Datos e Informaci\u00f3n Oce\u00e1nica, CTN DIOCEAN\u201d (Resoluci\u00f3n SECCO N\u00b0005, 2015), que cumple con la recomendaci\u00f3n de IODE, y adem\u00e1s apoya el modelo adoptado por el pa\u00eds para facilitar y coordinar la gesti\u00f3n de datos e informaci\u00f3n. En este contexto, el Grupo de Trabajo en Mejores Pr\u00e1cticas en Gesti\u00f3n de Datos (GT MPGDO) que hace parte del CTN DIOCEAN, emite el tercer n\u00famero del Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos, como parte de su responsabilidad nacional de elaborar documentos t\u00e9cnicos y gu\u00edas para promover la adopci\u00f3n de pr\u00e1cticas de gesti\u00f3n de datos en el pa\u00eds. En este se dan a conocer gu\u00edas y metodolog\u00edas que aplican las instituciones del pa\u00eds, en las diferentes etapas del ciclo de vida de los datos oce\u00e1nicos. - , - Current - , - 14.A - , - Sea surface temperature - , - Phytoplankton biomass and diversity - , - Hard coral cover and composition - , - TRL 1 Basic principles observed and reported - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/844", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/844", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/844", "url": "https:\/\/hdl.handle.net\/11329\/844" }, "author": [ { "@type": "Person", "name": "Guti\u00e9rrez Garc\u00eda, Fredy Alberto" }, { "@type": "Person", "name": "Morales Escobar, Ana Alexandra" }, { "@type": "Person", "name": "Sedano Ariza, Carlos Alberto" }, { "@type": "Person", "name": "Ortiz Mart\u00ednez, Ruby Viviana" }, { "@type": "Person", "name": "Casta\u00f1eda Rodr\u00edguez, Diana Paulina" }, { "@type": "Person", "name": "Bernal Su\u00e1rez, N\u00e9stor Ricardo" }, { "@type": "Person", "name": "Guti\u00e9rrez Sarmiento, Martha Cecilia" }, { "@type": "Person", "name": "Maza Chamorro, Mauro" }, { "@type": "Person", "name": "Del R\u00edo Col\u00f3n, Roberto" }, { "@type": "Person", "name": "Campo Rojas, Erick" }, { "@type": "Person", "name": "Montoya-Cadavid, Erika" }, { "@type": "Person", "name": "Boh\u00f3rquez, Julio" }, { "@type": "Person", "name": "Garc\u00eda, Carolina" }, { "@type": "Person", "name": "G\u00f3mez, Diana Isabel" }, { "@type": "Person", "name": "Arias, Leonardo" }, { "@type": "Person", "name": "L\u00f3pez Peralta, Ra\u00fal Hernando" }, { "@type": "Person", "name": "Rozo, Margarita" }, { "@type": "Person", "name": "Rodr\u00edguez, Viviana" }, { "@type": "Person", "name": "S\u00e1nchez, In\u00e9s" }, { "@type": "Person", "name": "Henao, Alejandro" }, { "@type": "Person", "name": "Marrugo, Milena" }, { "@type": "Person", "name": "Ehrhardt Arzuza, Ludwing" }, { "@type": "Person", "name": "Rangel Segura, Pedro Augusto" }, { "@type": "Person", "name": "Bland\u00f3n Grajales, Rigoberto" }, { "@type": "Person", "name": "Garc\u00eda, Laura Liliana" }, { "@type": "Person", "name": "Garz\u00f3n Barrios, Jaime Alberto" }, { "@type": "Person", "name": "Santaf\u00e9 Alfonso, Omar Gonzalo" }, { "@type": "Person", "name": "Garc\u00eda Bol\u00edvar, Alberto" }, { "@type": "Person", "name": "Casta\u00f1eda Zamora, Jos\u00e9 Anderson" }, { "@type": "Person", "name": "Montenegro Ram\u00edrez, Luis Alejandro" }, { "@type": "Person", "name": "Su\u00e1rez Le\u00f3n, Luisa Fernanda" }, { "@type": "Person", "name": "Correa Olarte, Mar\u00eda Ximena" } ], "contributor": [ { "@type": "Organization", "name": "DIMAR" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::plankton nets", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::observers", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1344", "name": "Australia\u2019s Long-Term Plankton Observations: The Integrated Marine Observing System National Reference Station Network.", "description": " - The Integrated Marine Observing System National Reference Station network provides unprecedented open access to species-level phytoplankton and zooplankton data for researchers, managers and policy makers interested in resource condition, and detecting and understanding the magnitude and time-scales of change in our marine environment. We describe how to access spatial and temporal plankton data collected from the seven reference stations located around the Australian coastline, and a summary of the associated physical and chemical parameters measured that help in the interpretation of plankton data. Details on the rationale for site locations, sampling methodologies and laboratory analysis protocols are provided to assist with use of the data, and design of complimentary investigations. Information on taxonomic entities reported in the plankton database, and changes in taxonomic nomenclature and other issues that may affect data interpretation, are included. Data from more than 1250 plankton samples are freely available via the Australian Ocean Data Network portal and we encourage uptake and use of this continental-scale dataset, giving summaries of data currently available and some practical applications. The full methods manual that includes sampling and analysis protocols for the Integrated Marine Observing System Biogeochemical Operations can be found on-line. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-04-12 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1344", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1344", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1344", "url": "https:\/\/hdl.handle.net\/11329\/1344" }, "author": [ { "@type": "Person", "name": "Eriksen, Ruth S." }, { "@type": "Person", "name": "Davies, Claire H." }, { "@type": "Person", "name": "Bonham, Pru" }, { "@type": "Person", "name": "Coman, Frank E." }, { "@type": "Person", "name": "Edgar, Steven" }, { "@type": "Person", "name": "McEnnulty, Felicity R." }, { "@type": "Person", "name": "McLeod, David" }, { "@type": "Person", "name": "Miller, Margaret J." }, { "@type": "Person", "name": "Rochester, Wayne" }, { "@type": "Person", "name": "Slotwinski, Anita" }, { "@type": "Person", "name": "Tonks, Mark L." }, { "@type": "Person", "name": "Uribe-Palomino, Julian" }, { "@type": "Person", "name": "Richardson, Anthony J." } ], "keywords": [ "NRS", "IMOS", "Species distribution", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Zooplankton", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1128", "name": "Web Feature Service Implementation Specification, Verson 1.1.0.", "description": " - The Open Geospatial Consortium (OGC) has developed a member consensus that when software vendors implement their products in compliance with open geospatial web service interface and data encoding specifications, end-users benefit from a larger pool of interoperable web based tools for geodata access and related geoprocessing services. The Web Map Server products that have been developed to implement the OGC Web Map Service Implementation Specification [1] are prime examples of such tools. The GetCapabilities and GetMap interfaces defined in that specification give users on the web an interoperable way to combine and view map images from different sources. And the GetFeatureInfo interface gives those users a way to obtain attribute information about geographic features displayed in a map with a simple mouse click. The OGC Geography Markup Language (GML) Implementation Specification [2] describes an encoding specification for geodata in XML that enables the storage, transport, processing, and transformation of geographic information. This document, the OGC Web Feature Service (WFS) Implementation Specification, takes the next logical step of by defining interfaces for data access and manipulation operations on geographic features using HTTP as the distributed computing platform. Via these interfaces, a web user or service can combine, use and manage geodata -- the feature information behind a map image -- from different sources by invoking the following WFS operations on geographic features and elements: \u2022 Create a new feature instance \u2022 Delete a feature instance \u2022 Update a feature instance \u2022 Lock a feature instance \u2022 Get or query features based on spatial and non-spatial constraints - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1128", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1128", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1128", "url": "https:\/\/hdl.handle.net\/11329\/1128" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Specification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2228", "name": "A numerical framework for modeling fate and transport of microplastics in inland and coastal waters.", "description": " - Proliferation of microplastics in rivers, lakes, estuaries, coastal waters and oceans is a major global challenge and threat to the environment, livelihoods and human health. Reliable predictive tools can play an essential role in developing an improved understanding of microplastics behaviour, exposure and risk in water bodies, and facilitate identification of sources and accumulation hot spots, thereby enabling informed decision-making for targeted prevention and clean-up activities. This study presents a new numerical framework (CaMPSim-3D) for predicting microplastics fate and transport in different aquatic settings, which consists of a Lagrangian, three dimensional (3D) particle-tracking model (PTM) coupled with an Eulerian-based hydrodynamic modeling system (TELEMAC). The 3D PTM has several innovative features that enable accurate simulation and efficient coupling with TELEMAC, which utilizes an unstructured computational mesh. The PTM is capable of considering spatio-temporally varying diffusivity, and uses an innovative algorithm to locate particles within the Eulerian mesh. Model accuracy associated with different advection schemes was verified by comparing numerical predictions to known analytical solutions for several test cases. The implications of choosing different advection schemes for modeling microplastics transport was then investigated by applying the PTM to simulate particle transport in the lower Saint John River Estuary in eastern Canada. The sensitivity of the PTM predictions to the advection scheme was investigated using six numerical schemes with different levels of complexity. Predicted particle distributions and residence times based on the fourth-order Runge\u2013Kutta (RK4) scheme differed significantly (residence times by up to 100 %) from those computed using the traditional first-order (Euler) method. The Third Order Total Variation Diminishing (TVD3) Runge-Kutta method was found to be optimal, providing the closest results to RK4 with approximately 27 % lower computational cost. - , - Refereed - , - 14.a - , - Mature - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2228", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2228", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2228", "url": "https:\/\/hdl.handle.net\/11329\/2228" }, "author": [ { "@type": "Person", "name": "Pilechi, Abolghasem" }, { "@type": "Person", "name": "Mohammadian, Abdolmajid" }, { "@type": "Person", "name": "Murphy, Enda" } ], "keywords": [ "Particle tracking", "Eulerian-Lagrangian model", "Microplastics", "Fate and transport modeling", "Anthropogenic contamination", "Data analysis", "Data transformation\/conversion" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/473.2", "name": "Marine Sampling Field Manual for Benthic Sleds and Bottom Trawls [Version 3].", "description": " - This Sled and Trawl Field Manual includes gear designed to sample organisms on the seafloor, excluding microbes and meiofauna (see Gielings et al 2021 and chapters in Eleftheriou and Mcintyre 2005, Danovaro 2010 for such methods). Pipe dredges, rock dredges and other such gear are not included because biological collections using these are incidental. Similarly, commercial dredges are not considered because they have a narrow taxonomic focus (e.g. scallop dredge) and are not suitable for general monitoring purposes. Fish traps and similar gear are not included because they often apply to shallow waters or reef-associated species and often use bait. This Field Manual does not target endobionts or burrowing species (e.g. animals living within sponges, rocks, corals) due to the excessive amount of time needed to process such animals (Coggan et al. 2005) and their limited use in a national monitoring program. Although some sleds are designed to sample small macrofauna and infauna (e.g. Brenke 2005), for the purposes of this field manual, we include only larger macrofauna and megafauna. Smaller taxa are targeted in the Grab and Boxcore Field Manual. If researchers opt to use a sled to sample smaller fauna, we recommend combining Pre-survey Planning and Onboard Sample Acquisition sections from this field manual with Onboard Sample Processing from the Grab and Box Corer Field Manual (Chapter 9). - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Fish abundance and distribution - , - Mature - , - Best Practice - , - Manual - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/473.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/473.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/473.2", "url": "https:\/\/hdl.handle.net\/11329\/473.2" }, "author": [ { "@type": "Person", "name": "Przeslawski, R." }, { "@type": "Person", "name": "Althaus, F." }, { "@type": "Person", "name": "Clark, M." }, { "@type": "Person", "name": "Colquhoun, J." }, { "@type": "Person", "name": "Gledhill, D." }, { "@type": "Person", "name": "Foster, S." }, { "@type": "Person", "name": "O\u2019Hara, T." }, { "@type": "Person", "name": "Atkinson, L." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Biological sampling", "Benthic surveys", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::benthos samplers", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1417", "name": "The Cape Town Statement on Geoethics.", "description": " - Recently the interest by geoscientists in (geo)ethical aspects of geoscience knowledge, education, research, practice and communication has grown considerably. Today the topic of geoethics has gained a significant visibility within the scien-tific community. The IAPG \u2013 International Association for Promoting Geoethics (http:\/\/www.geoethics.org), founded in 2012, has worked to widen the discussion and create awareness about issues of ethics as applied to the geosciences. Thanks to continuous voluntary work, the respectful exchange, and fruitful sharing of ideas, the IAPG community has produced a conceptual substratum on which to base the future development of geoethics, by clarifying the meaning of the word \u201cgeoethics\u201d, formalizing its definition, and better identifying a framework of reference values on which the geosci-ence community can base more effective codes of conduct and guidance. The members of the IAPG community have pub-lished various books and articles in peer-reviewed international journals, and organized numerous scientific sessions to bring geoethics to the most important geoscience conferences. Geoethical issues have been also included in the European project ENVRI-Plus, which is dedicated to the environmental and solid Earth research infrastructures. The tangible re-sult of these efforts is that, now, many prestigious geoscience organizations recognize geoethics as a fundamental issue, worthy of attention. This result was confirmed by the high quality of content and the large participation of scientists in the six technical sessions and a panel session on geoethics organized by IAPG at the 35th IGC \u2013 International Geological Congress, held in 2016 in Cape Town (South Africa). Largely successful due to the cooperative work of different geosci-ence organizations (IUGS-TGGP \u2013 Task Group on Global Geoscience Professionalism; GSL - Geological Society of Lon-don; EFG - European Federation of Geologists; EGS - EuroGeoSurveys; AGI \u2013 American Geosciences Institute; AGU \u2013 American Geophysical Union, and AAWG \u2013 African Association of Women in Geosciences). The IAPG considers the 35th IGC as the scientific event that opened a new phase for furthering the concept of geoethics. In order to mark this milestone, the \"Cape Town Statement on Geoethics\" (CTSG) was tabled by the IAPG and reviewed in an international effort. It shall focus the attention of geoscientists on the development of shared values, policies, guidelines, strategies and tools, with the long-range goal of fostering the regular adoption of ethical values and practices within the geoscience community. The document summarizes the values, concepts, and contents developed by IAPG so far, providing a per-spective for the future development of geoethical thinking. This paper addresses in detail the content of the \u201cCape Town Statement on Geoethics\u201d, which is now supported officially by several geoscience organizations. - , - Contributing authors: Nic Bilham, Martin Bohle, Andy Clay, Emilia Hermelinda Lopera-Parejas, David Mogk - , - Refereed - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1417", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1417", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1417", "url": "https:\/\/hdl.handle.net\/11329\/1417" }, "author": [ { "@type": "Person", "name": "Di Capua, Giuseppe" }, { "@type": "Person", "name": "Peppoloni, Silvia" }, { "@type": "Person", "name": "Bobrowsky, Peter T." } ], "keywords": [ "Ethics", "Scientific ethics", "International Association for Promoting Geoethics", "Geosciences", "Geoethics", "Research integrity", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/821", "name": "Performance Verification Statement for the YSI Inc. Rapid Pulse Dissolved Oxygen Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. To this end, the NOAA-funded Alliance for Coastal Technologies (ACT) serves as an unbiased, third party testbed for evaluating coastal sensors and sensor platforms for use in coastal environments. ACT also serves as a comprehensive data and information clearinghouse on coastal technologies and a forum for capacity building through workshops on specific technology topics (for more information visit www.act-us.info). This document summarizes the procedures used and results of an ACT Evaluation to verify manufacturer claims regarding the performance of the YSI Rapid Pulse Dissolved Oxygen Sensor incorporated as part of the 6600 EDS. Detailed protocols, including QA\/QC methods, are described in the Protocols for the ACT Verification of In Situ Dissolved Oxygen Sensors (ACT TV04-01), which can be downloaded from the ACT website (www.act-us.info\/tech_evalvations.php). Appendix 1. is an interpretation of the Performance Verification results from the manufacturer's point of view. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/821", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/821", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/821", "url": "https:\/\/hdl.handle.net\/11329\/821" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1221", "name": "A General Methodology for Beached Oil Spill Hazard Mapping.", "description": " - The current lack of a standardized approach to compute the coastal oil spill hazard due to maritime traffic accidental releases has hindered an accurate estimate of its global impact, which is paramount to manage and intercompare the associated risks. We propose here a hazard estimation approach that is based on ensemble simulations and the extraction of the relevant distributions. We demonstrate that both open ocean and beached oil concentration distributions fit a Weibull curve, a two-parameter fat-tail probability distribution function. The simulation experiments are carried out in three different areas of the northern Atlantic. An indicator that quantify the coastal oil spill hazard is proposed and applied to the study areas. - , - Refereed - , - 14 - , - TRL 4 Component\/subsystem validation in laboratory environment - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-12-19 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1221", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1221", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1221", "url": "https:\/\/hdl.handle.net\/11329\/1221" }, "author": [ { "@type": "Person", "name": "Sepp Neves, Antonio A." }, { "@type": "Person", "name": "Pinardi, Nadia" }, { "@type": "Person", "name": "Navarra, Antonio" }, { "@type": "Person", "name": "Trotta, F." } ], "keywords": [ "Oil spill modeling", "MEDSLIK-II", "Oil spill hazard mapping", "Weibull pdf", "Hazard index", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/159", "name": "Global Temperature-Salinity Profile Programme (GTSPP) - Overview and Future.", "description": " - This document is directed to the scientific research community and users of operational ocean data. It is also intended to provide an example and be a source of information to programmes such as the Global Ocean Observing System (GOOS) for developing and implementing end-to-end data management systems. The document is also directed towards Member States of IOC. It discusses how Member States can make contributions and how they can benefit from the GTSPP. - , - Published - , - temperature profile, salinity prifile, GTSPP - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/159", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/159", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/159", "url": "https:\/\/hdl.handle.net\/11329\/159" }, "author": [ { "@type": "Person", "name": "Wilson, J.R." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Temperature data", "Temperature measurement", "Ocean circulation", "Salinity", "Salinity data", "Salinity measurement", "Salinity profiles", "Salinity scales", "Salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/741", "name": "Performance Verification Statement for Hach Hydrolab DS5X and HL4 Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the results of the Hach Luminescent Dissolved Oxygen sensor incorporated into two different models of the Hydrolab multi-parameter sonde (HL4 and DS5X). The DS5X sonde includes an anti-biofouling wiping system for extended deployments. The HL4 was used in all laboratory testing, the Great Lakes profiling testing, and the Houghton, MI under ice deployment. Both sondes were deployed for the extended field mooring tests in Chesapeake Bay, MD and Kaneohe Bay, HI. Instrument accuracy and precision for the HL4 was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the HL4 and reference measurement ranged from -0.315 to 0.304 mg\/L over eight of the nine trials. No data was recorded during one of the trials due to an apparent internal power failure. A linear regression of the cross plot between instrument and reference data for all trials combined (n=290; r2 = 0.99; p<0.0001) produced a slope of 1.021 and intercept of -0.181. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.015 \u2013 0.045 mg\/L across trials with an overall average of 0.025 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.125 \u2013 0.804 percent across trials with an overall average of 0.380%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The HL4 stopped logging measurements after 7 days into the test. The overall mean of the differences between HL4 and reference measurements for the 18 comparative observations during the first week was -0.177 (\u00b1 0.086) mg\/L. A functional response time test was conducted by examining instrument response when rapidly transitioning between adjacent high (9.6 mg\/L) and low (2.0 mg\/L) DO water baths, maintained commonly at 15 oC. The calculated \u03c490 for the HL4 was 27 s during high to low transitions and 26 s for low to high transitions covering the 8 mg\/L DO range. At Houghton, MI the field test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. During the pre-tank test the HL4 started reporting errors; the manufacturer was notified but could not get another sensor to Houghton in time for deployment. It was decided to try the malfunctioning instrument, but it returned no data. The DS5X was also not supplied to this site for testing so no instrument results are available for this field test. At Chesapeake Biological Lab, the field test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The HL4 was deployed on shore power due to the length of the deployment. Over the 4th of July weekend, the cable was severed underwater, shorting the instrument. Upon return to the manufacturer, only 5 days of data was recovered from the instrument, however, it is not certain whether the instrument stopped functioning on 5\/25 or whether data was lost due to the impact of the cord being severed and shorting out the instrument. The DS5X sonde was also deployed at this field sit but a programming error by ACT personnel resulted in the instrument not being fully enabled for the deployment. The average and standard deviation of the measurement difference over the abbreviated deployment range was 0.685 \u00b1 0.322 mg\/L with a total range of -0.12 to 1.06 mg\/L. The higher than expected offset may indicate the instrument was malfunctioning even at the onset of the deployment. At Kaneohe Bay, HI the field test was conducted over 121 days with a mean temperature and salinity of 25.8 and 33.4 oC. The HACH HL4 stopped functioning on 10\/25\/15, 33 days into the deployment resulting in a 26% data completion rate. The measured DO range from our 129 discrete reference samples was 3.63 \u2013 9.85 mg\/L compared to a range of 2.02 to 10.88 mg\/L reported by the HL4. The average and standard deviation of the differences between instrument and reference readings (n=39 of 129 potential observations) were 0.217\u00b1 .322 mg\/L, with a total range in the differences of -0.725 to 0.769 mg\/L. The drift in instrument response showed no statistically significant trend over time based on a linear regression of the data (slope = 0.0007 mg\/L\/d; r2 = 0.0004; p=0.91). A linear regression of the instrument versus reference data (r2 = 0.95; p<0.0001)) had a slope of 1.115 and intercept of -0.514. The HACH DS5X reported data throughout the entire deployment and generated 2827 observations based on its 60 minute sampling interval over the 17 week deployment. However, only 2434of the measurements were considered acceptable based on our approach of excluding values that were more than 2 mg\/L from reference sample over a similar timeframe. The accepted data resulted in a data completion rate for this deployment of 86%. Accepted DO measurements by the DS5X ranged from 1.88 to 10.97 mg\/L. The average and standard deviation of the differences between instrument and reference readings (limited to \u00b1 2.0 mg\/L DO; n=53 of 129 potential observations) were 0.62 \u00b1 0.744 mg\/L, with a total range in the differences of -1.923 to 1.970 mg\/L. There was a small, but statistically significant, drift in instrument offset over time (slope = 0.019 mg\/L\/d; r2 = 0.52; p<0.0001). A linear regression of the instrument versus reference data (r2 = 0.872; p<0.0001)) had a slope of 1.143 and intercept of -0.727. Overall, the response of the Hach LDO sensors during field testing were generally consistent across the concentration range within a given test site, as well as over the wide range of DO conditions (4 - 14 mg\/L) across sites, regardless of temperature or salinity. A linear regression of the accepted instrument versus reference data (r2 = 0.91 p<0.0001) for the field tests had a slope of 1.151 and intercept of -0.725. The HL4 was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience both normoxic and hypoxic hypolimnion. In Muskegon Lake, the mperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the third sample, the rosette was quickly profiled into the hypolimnion where samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. For Muskegon Lake, the range in measurement differences between instrument and reference was -0.07 to 0.16 mg\/L for cast 2 and -0.38 to 0.11 mg\/L for cast 3 (cast 1 was aborted and redone as cast 3). For both profiling transitions the HL4 appeared to equilibrate to the new ambient DO conditions by the third sample. For Lake Michigan, the range in measurement differences between instrument and reference was -0.05 to 0.54 mg\/L for cast 1 and -0.14 to 0.32 mg\/L for cast 2. The equilibration rate differed among the two profiling directions at this site, occurring by 3 minutes for cast 1, but continual drift through the 7th minute during cast 2. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/741", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/741", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/741", "url": "https:\/\/hdl.handle.net\/11329\/741" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S" }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1120", "name": "OpenGIS\u00ae Geography Markup Language (GML) Encoding Standard. Version 3.2.1.", "description": " - The OpenGIS\u00ae Geography Markup Language Encoding Standard (GML) The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. As with most XML based grammars, there are two parts to the grammar \u2013 the schema that describes the document and the instance document that contains the actual data. A GML document is described using a GML Schema. This allows users and developers to describe generic geographic data sets that contain points, lines and polygons. However, the developers of GML envision communities working to define commun... - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1120", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1120", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1120", "url": "https:\/\/hdl.handle.net\/11329\/1120" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Standard", "GML" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1642", "name": "Comparison of Two 16S rRNA Primers (V3\u2013V4 and V4\u2013V5) for Studies of Arctic Microbial.", "description": " - Microbial communities of the Arctic Ocean are poorly characterized in comparison to other aquatic environments as to their horizontal, vertical, and temporal turnover. Yet, recent studies showed that the Arctic marine ecosystem harbors unique microbial community members that are adapted to harsh environmental conditions, such as near-freezing temperatures and extreme seasonality. The gene for the small ribosomal subunit (16S rRNA) is commonly used to study the taxonomic composition of microbial communities in their natural environment. Several primer sets for this marker gene have been extensively tested across various sample sets, but these typically originated from low-latitude environments. An explicit evaluation of primer-set performances in representing the microbial communities of the Arctic Ocean is currently lacking. To select a suitable primer set for studying microbiomes of various Arctic marine habitats (sea ice, surface water, marine snow, deep ocean basin, and deep-sea sediment), we have conducted a performance comparison between two widely used primer sets, targeting different hypervariable regions of the 16S rRNA gene (V3\u2013V4 and V4\u2013 V5). We observed that both primer sets were highly similar in representing the total microbial community composition down to genus rank, which was also confirmed independently by subgroup-specific catalyzed reporter deposition-fluorescence in situ hybridization (CARD-FISH) counts. Each primer set revealed higher internal diversity within certain bacterial taxonomic groups (e.g., the class Bacteroidia by V3\u2013V4, and the phylum Planctomycetes by V4\u2013V5). However, the V4\u2013V5 primer set provides concurrent coverage of the archaeal domain, a relevant component comprising 10\u201320% of the community in Arctic deep waters and the sediment. Although both primer sets perform similarly, we suggest the use of the V4\u2013V5 primer set for the integration of both bacterial and archaeal community dynamics in the Arctic marine environment. - , - Refereed - , - 14.a - , - Microbe biomass and diversity - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1642", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1642", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1642", "url": "https:\/\/hdl.handle.net\/11329\/1642" }, "author": [ { "@type": "Person", "name": "Fadeev, Eduard" }, { "@type": "Person", "name": "Cardozo-Mino, Magda G." }, { "@type": "Person", "name": "Rapp, Josephine Z." }, { "@type": "Person", "name": "Bienhold, Christina" }, { "@type": "Person", "name": "Salter, Ian" }, { "@type": "Person", "name": "Salman-Carvalho, Verena" }, { "@type": "Person", "name": "Molari, Massimiliano" }, { "@type": "Person", "name": "Tegetmeyer, Halina E." }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Boetius, Antje" } ], "keywords": [ "Microbial communities", "Amplicon sequencing", "Universal primers", "Method comparison", "Molecular observatory", "Ribosomal RNA (rRNA)", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2192", "name": "Pollution in the Arctic Ocean: An overview of multiple pressures and implications for ecosystem services.", "description": " - The Arctic is undergoing unprecedented change. Observations and models demonstrate significant perturbations to the physical and biological systems. Arctic species and ecosystems, particularly in the marine environment, are subject to a wide range of pressures from human activities, including exposure to a complex mixture of pollutants, climate change and fishing activity. These pressures affect the ecosystem services that the Arctic provides. Current international policies are attempting to support sustainable exploitation of Arctic resources with a view to balancing human wellbeing and environmental protection. However, assessments of the potential combined impacts of human activities are limited by data, particularly related to pollutants, a limited understanding of physical and biological processes, and single policies that are limited to ecosystem-level actions. This manuscript considers how, when combined, a suite of existing tools can be used to assess the impacts of pollutants in combination with other anthropogenic pressures on Arctic ecosystems, and on the services that these ecosystems provide. Recommendations are made for the advancement of targeted Arctic research to inform environmental practices and regulatory decisions. - , - Refereed - , - 14.1 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2192", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2192", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2192", "url": "https:\/\/hdl.handle.net\/11329\/2192" }, "author": [ { "@type": "Person", "name": "Townhill, Bryony L." }, { "@type": "Person", "name": "Reppas-Chrysovitsinos, Efstathios" }, { "@type": "Person", "name": "Suhring, Roxana" }, { "@type": "Person", "name": "Halsall, Crispin J." }, { "@type": "Person", "name": "Mengo, Elena" }, { "@type": "Person", "name": "Sanders, Tina" }, { "@type": "Person", "name": "Dahnke, Kirsten" }, { "@type": "Person", "name": "Crabeck, Odile" }, { "@type": "Person", "name": "Kaiser, Jan" }, { "@type": "Person", "name": "Birchenough, Silvana N. R." } ], "keywords": [ "Ecopath", "Human activity", "Data analysis", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1655", "name": "Bottom Depth Echo-Sounding Correction.", "description": " - CalCOFI has always corrected bottom depths reported using Carter Tables 50 & 51 for the CalCOFI operations area, California's west coast. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Echo sounders - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1655", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1655", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1655", "url": "https:\/\/hdl.handle.net\/11329\/1655" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/610", "name": "Testing indicators for biological impacts of microplastics .", "description": " - The EU is still far from its goal of achieving healthy seas and part of the problem is due to marine litter (European Commission, 2014). Plastic materials invariably make up the dominant fraction of marine litter and there are particular concerns regarding the impacts of plastic microlitter (plastic particles in the range of a few nanometers up to 5 mm). The small size, persistence and ubiquity of these \u2018microplastics\u2019 in both pelagic and benthic ecosystems means they have the potential to be ingested, along with naturally occurring particulate matter, by a wide array of marine biota with unknown consequences for Darwinian fitness parameters (growth, survival, performance, reproduction). Due to the varying size, buoyancy and composition of marine litter, ingestion will vary for litter types between feeding guilds; planktivores and filter feeders will encounter low-density litter fragments suspended in the upper water column whereas high density litter fragments are more likely to be available to deposit feeders and detrivores. Important research gaps remain for the implementation of the Marine Strategy Framework Directive (MSFD) over the suitability of different species for evaluating microplastics impacts across the four main seas regions of Europe. These gaps include the composition of ingested litter, its propensity for retention within the gut, leaching of associated chemicals, translocation within body tissues and transfer through generations and\/or the food web. One of the aims of the CleanSea project task is to provide fundamental scientific knowledge on the scale and nature of the physical and chemical impacts of marine litter, and in particular microplastics, on exemplar marine organisms and the predicted consequences for populations and communities. We aim to determine the impact of this type of marine litter on population-relevant fitness parameters and energy budgets in key species, with a focus on the base of the marine food web. In CleanSea, the main species under study include algae, bacteria, invertebrates such as zooplankton, sponges, echinoderms, bivalves and crustaceans, as well as fish and birds. Here we present a summary update on progress on determining the ecological harm of microplastics and discuss important aspects of indicator species selection that Member States will be confronted with when implementing the Marine Strategy Framework Directive (MSFD) - , - Published - , - Refereed - , - Current - , - 14.A - , - 14.1 - , - Zooplankton biomass and diversity - , - Macroalgal canopy cover and composition - , - Fish abundance and distribution - , - Microbe biomass and diversity - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/610", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/610", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/610", "url": "https:\/\/hdl.handle.net\/11329\/610" }, "contributor": [ { "@type": "Organization", "name": "VU University, Institute for Environmental Studies" } ], "keywords": [ "MSFD", "Marine litter", "Plastics", "Microplastics", "Biological indicators", "Hydrobiological indicators", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/701", "name": "Supporting variables for biological effects measurements in fish and blue mussel.", "description": " - Biological effects measurements in fish and blue mussel are fundamental in marine environmental monitoring. Nevertheless, currently used biomarkers may be confounded by basic physiological phenomena, such as growth, reproduction, and feeding, as well as thereby associated physiological variation. Here, we present a number of supporting variables, which are essential to measure in order to obtain reliable biological effects data, facilitate their interpretation, and make valid comparisons. For fish, these variables include: body weight, body length, condition, gonad maturation status, various somatic indices, age, and growth. For blue mussels, these variables include: volume, flesh weight, shell weight, and condition. Also, grossly visible anomalies, lesions, and parasites should be recorded for both fish and blue mussels. General confounding factors and their effects are described, as well as recommendations for how to handle them. - , - Published - , - Refereed - , - Current - , - Fish abundance and distribution - , - Benthic invertebrate abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/701", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/701", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/701", "url": "https:\/\/hdl.handle.net\/11329\/701" }, "author": [ { "@type": "Person", "name": "Hansson, T." }, { "@type": "Person", "name": "Thain, J." }, { "@type": "Person", "name": "Mart\u00ednez-G\u00f3mez, C." }, { "@type": "Person", "name": "Hylland, K." }, { "@type": "Person", "name": "Gubbins, M." }, { "@type": "Person", "name": "Balk, L." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1000", "name": "Wave Energy Measurement Methodologies for IEC Technical Specifications. Open Sea Operating Experience to Reduce Wave Energy Costs Deliverable D5.1.", "description": " - This document represents deliverable 5.1 (D5.1) of OPERA Work Package 5 (WP5). OPERA is a European Commission funded project that ultimately aims to reduce the time to market and costs of wave energy. OPERA WP5, entitled, \u201cApplicability and Extension of IEC Technical Specifications using Open Sea Data\u201d is dedicated to providing the first documented application of the ongoing normative process for the wave energy sector, the International Electrotechnical Commission (IEC) Technical Specifications (TS) for marine energy, reduce the uncertainties in their application and provide recommendations to the relevant marine technical committee of the IEC (TC114) that will accelerate the establishment of standards based on these technical specifications. The following IEC TS are studied within OPERA: 62600-10 Part 10: Assessment of mooring system for marine energy converters. - 62600-30 Ed. 1.0 Part 30: Electrical power quality requirements for wave, tidal and other water current energy converters. - 62600-100 Ed. 1.0 Part 100: Electricity producing wave energy converters - Power performance assessment. - 62600-101 Ed. 1.0 Part 101: Wave energy resource assessment and characterization. - 62600-102 Ed. 1.0 Part 102: Wave energy converter power performance assessment at a second location using measured assessment data. This WP is approached in two stages; firstly, the IEC TS are investigated as they are in their current publication state. Secondly, the application of the TS are evaluated and investigated in further detail in areas such as the effect of the measurement resolution on power performance scatter, and grid compliance, so that these results can provide recommendations and enhancements to the IEC TS. Deliverable D5.1 represents the first stage in the examination of the practical application of the TS by extracting the necessary methodologies to enable their execution. More specifically, this deliverable examines: - Basic methodological requirements, including data and models requirements. - Practical implementation of methodology in a real sea deployment. - Data processing and reporting requirements. - Any technical issues or limitations of the TS, if applicable. It should be noted that the emphasis of WP5 is on the practical application of the TS, and not the performance of the wave energy device itself. - , - Published - , - Refereed - , - Current - , - 14.a - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1000", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1000", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1000", "url": "https:\/\/hdl.handle.net\/11329\/1000" }, "author": [ { "@type": "Person", "name": "Berque, Joann\u00e9s" }, { "@type": "Person", "name": "Armstrong, Sara" }, { "@type": "Person", "name": "Sheng, Wanan" }, { "@type": "Person", "name": "Crooks, David" }, { "@type": "Person", "name": "de Andres, Adrian" }, { "@type": "Person", "name": "Medina-Lopez, Encarnacion" }, { "@type": "Person", "name": "Weller, Sam" }, { "@type": "Person", "name": "Lazkano, Urtzi" } ], "contributor": [ { "@type": "Organization", "name": "University College Cork" } ], "keywords": [ "Wave energy", "International IEC specifications", "Power quality", "Moorings", "Wave resources", "OPERA", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1811", "name": "Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability.", "description": " - In the next decade the pressures on ocean systems and the communities that rely on them will increase along with impacts from the multiple stressors of climate change and human activities. Our ability to manage and sustain our oceans will depend on the data we collect and the information and knowledge derived from it. Much of the uptake of this knowledge will be outside the ocean domain, for example by policy makers, local Governments, custodians, and other organizations, so it is imperative that we democratize or open the access and use of ocean data. This paper looks at how technologies, scoped by standards, best practice and communities of practice, can be deployed to change the way that ocean data is accessed, utilized, augmented and transformed into information and knowledge. The current portal-download model which requires the user to know what data exists, where it is stored, in what format and with what processing, limits the uptake and use of ocean data. Using examples from a range of disciplines, a web services model of data and information flows is presented. A framework is described, including the systems, processes and human components, which delivers a radical rethink about the delivery of knowledge from ocean data. A series of statements describe parts of the future vision along with recommendations about how this may be achieved. The paper recommends the development of virtual test-beds for end-to-end development of new data workflows and knowledge pathways. This supports the continued development, rationalization and uptake of standards, creates a platform around which a community of practice can be developed, promotes cross discipline engagement from ocean science through to ocean policy, allows for the commercial sector, including the informatics sector, to partner in delivering outcomes and provides a focus to leverage long term sustained funding. The next 10 years will be \u201cmake or break\u201d for many ocean systems. The decadal challenge is to develop the governance and cooperative mechanisms to harness emerging information technology to deliver on the goal of generating the information and knowledge required to sustain oceans into the future. - , - AtlantOS - , - European Union - , - AtlantOS - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1811", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1811", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1811", "url": "https:\/\/hdl.handle.net\/11329\/1811" }, "author": [ { "@type": "Person", "name": "Buck, Justin J. H." }, { "@type": "Person", "name": "Bainbridge, Scott J." }, { "@type": "Person", "name": "Burger, Eugene F." }, { "@type": "Person", "name": "Kraberg, Alexandra C." }, { "@type": "Person", "name": "Casari, Matthew" }, { "@type": "Person", "name": "Casey, Kenneth S." }, { "@type": "Person", "name": "Darroch, Louise" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Metfies, Katja" }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Fischer, Philipp F." }, { "@type": "Person", "name": "Gardner, Thomas" }, { "@type": "Person", "name": "Heffernan, Ryan" }, { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Kokkinaki, Alexandra" }, { "@type": "Person", "name": "Loebl, Martina" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Pearlman, Jay S." }, { "@type": "Person", "name": "Schewe, Ingo" } ], "keywords": [ "Data standards", "Data democratization", "End user engagement", "Data innovation", "Data integrity", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/699", "name": "Biological effects of contaminants: Assessing DNA damage in marine species through single-cell alkaline gel electrophoresis (comet) assay.", "description": " - Single cell gel electrophoresis (SCGE or comet) assay allows quantification of DNA damage in individual cells and is an ideal tool for use within biological monitoring programmes. Comet assay can be used on a range of cell types including somatic, re- productive (gametes) or circulatory cells in many different species including both marine bivalves and flatfish. The assay can be employed with simple equipment available in most laboratories, is sensitive to environmentally relevant levels of DNA damage (Frenzilli and Lyons, 2009), accurately demonstrates a linear dose response to exposure (Collins et al., 1996), and can be adapted for use on most nucleated cell types. This document concentrates on the simplest and most repeatable method of comet assay in circulatory cells of species commonly used in marine biomonitoring programmes both for chemical and biological effects. This manuscript describes standardized assay procedures and recommends the minimum level of information required when reporting comet assay results. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/699", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/699", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/699", "url": "https:\/\/hdl.handle.net\/11329\/699" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/733", "name": "Performance Verification Statement for the 10Cells (BBE Moldaenke).", "description": " - In an effort to mitigate the risk of transporting aquatic nuisance species, the United States Coast Guard (USCG) has finalized a rule limiting the concentrations of organisms in ships\u2019 ballast water discharged into US ports (US Coast Guard 2012). The specified concentrations are nearly identical (with the exception of not including limits for Vibrio cholerae in zooplankton samples) to those in the International Maritime Organization\u2019s (IMO) convention (IMO 2004). Further, the limits are consistent with those in the US Environmental Protection Agency\u2019s Vessel General Permit (VGP)\u2014regulations on a suite of vessel operations, including the discharge of ballast water (US EPA 2013). In order to meet these limits, most ships will use a ballast water management system (BWMS). These systems incorporate a variety of technologies (including filtration, UV radiation, electrolytic chlorination, and deoxygenation) to ensure that the discharge water meets the specifications. Determining concentrations of living organisms can require extensive effort and sensitive equipment, especially for sparse populations. For example, direct counts of living organisms \u226510 and <50 \u00b5m according to the method stipulated in the US Environmental Technology Verification (ETV) Program Protocol for land-based testing of BWMS requires (1) labeling organisms within a sample with a set of vital fluorophores and (2) tallying the organisms via epifluorescence microscopy (EPA 2010; Steinberg et al. 2011). Direct counts of living organisms yield concentrations comparable to the numerical standard. While this rigorous, complex, and time-consuming analysis is appropriate for verification testing of BWMS, it is typically not feasible to perform this analysis during routine shipboard inspections. Rather, simple, hand-held, field instruments (\u201ccompliance tools\u201d)\u2014with the ability to rapidly assess that the ballast water clearly exceeds the discharge limits\u2014will be of much greater value to the ship owner, the BWMS vendor, and the compliance officer. Compliance tools should immediately produce results that are reliable indicators of the concentrations of living organisms within a regulated size class and predict whether a sample meets or exceeds the discharge standard. New or refined compliance tools require carefully considered test protocols for evaluating and verifying their performance. The overall goal of this technology verification was to evaluate the performance of potential compliance tools designed to rapidly assess ballast water discharge. The outputs of the compliance tools were compared to the standard, validated approach (i.e. epifluorescence microscopy; EPA 2010) used to quantify organisms \u226510 and <50 \u00b5m in size during verification testing of BWMS. The objectives outlined below support this goal: \ue078 In a series of laboratory trials to be conducted at the Naval Research Laboratory in Key West, FL (NRL), determine linearity, precision and accuracy of the compliance tool with samples of algal monocultures over a range of concentrations, including concentrations below, equal to, and above the IMO and US discharge standard. \ue078 Evaluate the relationship between numerical concentrations of living organisms \u226510 and <50 \u00b5m and the accuracy and precision of the instrument using ambient organisms collected from natural waters at three various locations (Key West, Chesapeake Bay, and Lake Superior). - , - Published - , - Refereed - , - Current - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/733", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/733", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/733", "url": "https:\/\/hdl.handle.net\/11329\/733" }, "author": [ { "@type": "Person", "name": "First, M.R." }, { "@type": "Person", "name": "Riley, S.C." }, { "@type": "Person", "name": "Robbins-Wamsley, S.H." }, { "@type": "Person", "name": "Molina, V." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Reavie, E." }, { "@type": "Person", "name": "Carney, K." }, { "@type": "Person", "name": "Moser, C.S." }, { "@type": "Person", "name": "Buckley, E.N." }, { "@type": "Person", "name": "Tamburri, M.N." }, { "@type": "Person", "name": "Drake, L.A." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1670", "name": "Methods Timeline.", "description": " - CalCOFI Time Series data are over 67 years old. New adopted practices, methods, software and hardware are thoroughly tested to maintain dataset continuity as the program & science evolves. Core measurements are maintained and many new measurements added. CTD temperature sensors, for example, provide data at a much higher resolution than a 20 bottle hydrocast equipped with reversing thermometers pre-9308 (Aug 1993). Although the CTDs casts on CalCOFI started in 1990, CTD-rosette casts did not replace bottles-on-wire hydro casts completely until Aug 1993 (9308). In 2004, LTER joined the CalCOFI cruises, expanding the seawater analyses, adding new measurements. Changes of standard practices, methods, software, & equipment will be tabulated here, particularly those affecting the hydrographic data or other data products. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1670", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1670", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1670", "url": "https:\/\/hdl.handle.net\/11329\/1670" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/241", "name": "ICES Guidelines for Moored ADCP data. (Compiled October 1999; revised August 2001; August 2006)", "description": " - ADCPs (acoustic doppler current profiler) were first introduced to the oceanography community in the late 1970s (Rowe and Young, 1979). The instrument measure s water velocity over a range of depths using doppler shifts in active acoustic signals. ADCPs may be moored on a traditional oceanographic mooring (these guidelines apply), mounted on a bottom - frame or attached to the bottom of a ship (see shipboard ADCP guidelines). Different data management requirements exist for the three configurations. - , - Published - , - Subsurface currents - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/241", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/241", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/241", "url": "https:\/\/hdl.handle.net\/11329\/241" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Doppler acoustic current profiler", "ADCP", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::acoustic velocity systems", "Instrument Type Vocabulary::current profilers", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/564", "name": "A Guide to CO-OPS SHEF and CREX Products (2001 Revised 2013).", "description": " - The Center for Operational Oceanographic Products and Services (CO-OPS) within the National Ocean Service (NOS) provides real-time oceanographic and meteorological information to meet its mission of supporting safe and efficient navigation, coastal hazards preparedness and response, and the understanding of climate change. Many CO-OPS products are web-based, such as data displays on the Tides and Currents website and Web Services, and meet the needs of the general public; however, a separate suite of data products are provided to specialized users who rely on specific formats to automatically ingest the data into their processing systems. CO-OPS currently disseminates the following data products via the National Weather Service (NWS): \u2022 CREX (Character Form for the Representation and Exchange of Data) Bulletins 1.Observed Water Level and Meteorological Data 2. Observed One-minute Water Level Data\u2022SHEF (Standard Hydrometeorological Exchange Format) Bulletins 1. Observed Water Level and Meteorological Data 2.Astronomical Tide Data 3.Operational Forecast System Water Level Guidance. Both of these product types are human-readable formats that allow users to visually decode a message without the aid of a computer. They also allow for succinct packaging of large data sets. International sea level community users especially rely on CREX -formatted water level data to monitor sea levels and detect tsunami signals within the high-frequency measurements. Within NOAA, the information disseminated via SHEF is particularly critical to the National Weather Service forecasters, who are responsible for providing marine forecasts and warnings for the protection of life and property along the bays and coasts of the United States. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/564", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/564", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/564", "url": "https:\/\/hdl.handle.net\/11329\/564" }, "author": [ { "@type": "Person", "name": "Burton, J" }, { "@type": "Person", "name": "Bailey, K" }, { "@type": "Person", "name": "Benedetti, J" }, { "@type": "Person", "name": "Cassidy, J" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Water level", "Sea level", "Data", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data format development", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/297", "name": "Managing and Sharing Research Data: a Guide to Good Practice. [Sage Publishing Book Webpage]", "description": " - Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today\u2019s changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people\u2019s research data, illustrated with six real-life case studies of data use. \u00a0 - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/297", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/297", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/297", "url": "https:\/\/hdl.handle.net\/11329\/297" }, "author": [ { "@type": "Person", "name": "Corti, Louise" }, { "@type": "Person", "name": "Van den Eynden, Veerle" }, { "@type": "Person", "name": "Bishop, Libby" }, { "@type": "Person", "name": "Woollard, Matthew" } ], "contributor": [ { "@type": "Organization", "name": "Sage Publishing" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data citation", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/808", "name": "Appendix 3. Methods for measuring transparent exopolymer particles and their precursors in seawater.", "description": " - Transparent exopolymer particles (TEP) and their precursors produced by phyto-\/bacterioplankton in fresh and marine aquatic environments are increasingly considered as a major cause of organic\/particulate fouling in MF\/UF membranes and organic\/particulate and biological fouling in SWRO membranes. The following sections comprise detailed descriptions of two methods for measuring transparent exopolymer particles in seawater, namely TEP0.4\u03bcm and TEP10kDa. The TEP0.4\u03bcm method measures transparent exopolymer particles retained by membrane filters having pores of 0.4 \u03bcm and conventionally known as TEP (Passow and Alldredge, 1995). The TEP10kDa method covers transparent exopolymer particles retained by membrane filters with molecular weight cut-off of 10 kDa. Consequently, this method covers both TEP and most (if not all) of their colloidal precursors. TEP0.4\u03bcm is a more rapid method than TEP10kDa and is recommended for routine TEP monitoring in untreated seawater. The TEP10kDa method is more time consuming, however, it gives much more information because it covers both TEP and their colloidal precursors. - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/808", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/808", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/808", "url": "https:\/\/hdl.handle.net\/11329\/808" }, "author": [ { "@type": "Person", "name": "Villacorte, Loreen O." }, { "@type": "Person", "name": "Schippers, Jan C." }, { "@type": "Person", "name": "Kennedy, Maria D." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2344", "name": "JERICO-S3 Deliverable 5.2. Electronic Handbook for Mature Platforms: Mooring - HF Radar - FerryBox \u2013 Glider. Version 1.1.", "description": " - Harmonization across monitoring of coastal Europe has been an emphasis of the JERICO projects. The monitoring resources span geography, diversity of sensors and platforms, and the availability of local resources. With the growing importance of sustainability and understanding of the impacts of human activity on the sea, having a comprehensive and holistic perspective on the coastal seas is essential. This has been expressed through the Marine Strategy Framework Directive1 (MSFD) , https:\/\/ec.europa.eu\/environment\/marine\/eu-coast-and-marine-policy\/marine-strategy-framework-directive\/index_en.htm and other European documents as well as national imperatives. Coastal monitoring has been supported by national and project resources. Creating a harmonized European-wide Research infrastructure for coastal observing and information is a primary goal of JERICO [Farcy, et al, 2019]. Harmonization encompasses many actions. An important one is that data are collected according to commonly-accepted procedures and are interoperable. For this, a series of best practices is evolving for methods used in data collection and, more broadly, in the creation of decisionable information. JERICO has been motivating the creation of best practices for over a decade and has documented procedures in all aspects of coastal observations. These procedures come in many forms (e.g., standard operating procedures or manuals) with varying levels of acceptance and maturity. In some cases, there may be multiple procedures to achieve the same objective, with the result that the selection of the best procedure is unclear. This report addresses some of these challenges by introducing a refined scale of best practice maturity levels. These levels cover two key objectives: the status of the methods documentation and the degree to which the methods have been widely and effectively implemented. This is done through \u201cA Best Practices Maturity Model for Methods and their Applications'', which is introduced for the first time (see the Introduction for more information). The report then collects the best practice documents of JERICO and looks at their levels of maturity. This report addresses best practices in the context of four mature JERICO observation networks: moorings, high frequency radar coastal monitoring, ferry boxes and underwater gliders. These systems are described in detail, covering the platform, the sensors and, with the exception of the moorings, the data management. With this background, the best practices related to each of the systems are given. The practices that exist are important for interoperability and trust in the data, but there are gaps in practices and these will need to be identified and addressed. - , - European Commission H2020 Framework Programme under grant agreement No. 871153. - , - Published - , - Additional authors: Fran\u00e7ois Bourrin, Gisbert Breitbach, Holger Brix, Fabio Brunetti, Carolina Cantoni, Miguel Charcos Llorens, Laurent Delauney, Philipp Fischer, Martti Honkanen, Jochen Horstmann, Andrew King Lauri Laakso, Julien Mader, In\u00eas Martins, Paris Pagonis, Emma Reyes, Anna Rubio, Jukka Sepp\u00e4l\u00e4 - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2344", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2344", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2344", "url": "https:\/\/hdl.handle.net\/11329\/2344" }, "author": [ { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Ntoumas, Manolis" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos D." }, { "@type": "Person", "name": "Voynova, Yoana G." }, { "@type": "Person", "name": "M\u00f6ller, Klas Ove" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-S3" } ], "keywords": [ "Underwater gliders", "Ocean gliders", "HF Radar", "Moorings", "FerryBox", "Best practices", "Physical oceanography", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2010", "name": "Guidelines for monitoring Seal abundance and distribution in the HELCOM area.", "description": " - HELCOM Recommendation 27-28\/2 tasks the HELCOM SEAL Expert Group to develop and coordinate monitoring programmes to, among other things, assess the abundance and distribution, and the trends ofthese parameters of the Baltic seal management units. The HELCOM Core Indicators \u2018Distribution of Baltic seals\u2019 and \u2018Population trends and abundance of seals\u2019 are used to assess the progress of achieving Good Environmental Status in the Baltic Sea based on parameters of seal abundance and distribution. To obtain the objectives of Recommendation 27-28\/2 and these core indicators, standardized data from internationally coordinated efforts are necessary. This document describes guidelines for data collection for these needs as recommended by the HELCOM SEAL Expert Group. Annex 1 describes regional applications and modified practises of these recommendations. - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2010", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2010", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2010", "url": "https:\/\/hdl.handle.net\/11329\/2010" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Monitoring", "Seals", "Biota abundance, biomass and diversity", "Birds, mammals and reptiles", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2231", "name": "Best Practice Recommendations for Polar Research Communications. Version 1.0.", "description": " - This document represents recommendations and best practices from a broad range of communities interested in polar research communications discussed at Arctic Science Summit Week 2023 (including EU Polar Cluster members and non-members). - , - Published - , - Current - , - 14.a - , - Concept - , - Multi-organisational - , - International - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2231", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2231", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2231", "url": "https:\/\/hdl.handle.net\/11329\/2231" }, "author": [ { "@type": "Person", "name": "Horovcakova, Eva" }, { "@type": "Person", "name": "Badhe, Renuka" }, { "@type": "Person", "name": "Coombs, Sarah" }, { "@type": "Person", "name": "Couser, Griffith" }, { "@type": "Person", "name": "Delphin, Joelina" }, { "@type": "Person", "name": "Elshout, Pjotr" }, { "@type": "Person", "name": "F\u00fcreder, Leopold" }, { "@type": "Person", "name": "Heerema, Sabrina" }, { "@type": "Person", "name": "Jawak, Shridhar" }, { "@type": "Person", "name": "Jungblut, Simon" }, { "@type": "Person", "name": "Marzaro, Jessica" }, { "@type": "Person", "name": "Patterson, Simon" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Rees, Gareth" }, { "@type": "Person", "name": "Strobel, Anneli" }, { "@type": "Person", "name": "Vieira, Goncalo" }, { "@type": "Person", "name": "Wood-Donnelly, Corine" } ], "contributor": [ { "@type": "Organization", "name": "European Polar Board" } ], "keywords": [ "Horizon2020", "Horizon Europe", "Communications", "Best practices", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1842", "name": "Hydrographic Survey Specifications and Deliverables.", "description": " - Detail the requirements for hydrographic surveys undertaken either by NOAA field units or by organizations under contract to the NOAA. These specifications are based in part on the International Hydrographic Organization\u2019s Standards for Hydrographic Surveys, Special Publication 44. The 2019 edition includes new specifications and changes made since the 2018 version. Those who acquire hydrographic survey data in accordance with NOAA specifications should use the current version. These specifications define standards and requirements on the following topics: - Horizontal and vertical position uncertainty - Tides and water levels requirements - Coverage and resolution requirements for multibeam, singlebeam, side scan, and lidar data Features - Required field reporting - , - NOAA - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1842", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1842", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1842", "url": "https:\/\/hdl.handle.net\/11329\/1842" }, "contributor": [ { "@type": "Organization", "name": "NOAA Office of Coast Survey" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/628", "name": "Oxygen Optode Sensors: Principle, Characterization, Calibration, and Application in the Ocean .", "description": " - Recently, measurements of oxygen concentration in the ocean \u2013 one of the most classical parameters in chemical oceanography \u2013 are experiencing a revival. This is not surprising, given the key role of oxygen for assessing the status of the marine carbon cycle and feeling the pulse of the biological pump. The revival, however, has to a large extent been driven by the availability of robust optical oxygen sensors and their painstakingly thorough characterization. For autonomous observations, oxygen optodes are the sensors of choice: They are used abundantly on Biogeochemical-Argo floats, gliders and other autonomous oceanographic observation platforms. Still, data quality and accuracy are often suboptimal, in some part because sensor and data treatment are not always straightforward and\/or sensor characteristics are not adequately taken into account. Here, we want to summarize the current knowledge about oxygen optodes, their working principle as well as their behaviour with respect to oxygen, temperature, hydrostatic pressure, and response time. The focus will lie on the most widely used and accepted optodes made by Aanderaa and Sea-Bird. We revisit the essentials and caveats of in-situ in air calibration as well as of time response correction for profiling applications, and provide requirements for a successful field deployment. In addition, all required steps to post-correct oxygen optode data will be discussed. We hope this summary will serve as a comprehensive, yet concise reference to help people get started with oxygen observations, ensure successful sensor deployments and acquisition of highest quality data, and facilitate post-treatment of oxygen data. In the end, we hope that this will lead to more and higher-quality oxygen observations and help to advance our understanding of ocean biogeochemistry in a changing ocean. - , - Refereed - , - 14.A - , - Oxygen - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Best Practice - , - 2017-08-11 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/628", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/628", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/628", "url": "https:\/\/hdl.handle.net\/11329\/628" }, "author": [ { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" }, { "@type": "Person", "name": "Neill, Craig" }, { "@type": "Person", "name": "van Ooijen, Eikbert" }, { "@type": "Person", "name": "Plant, Joshua N." }, { "@type": "Person", "name": "Hahn, Johannes" }, { "@type": "Person", "name": "Johnson, Kenneth S." }, { "@type": "Person", "name": "Yang, Bo" }, { "@type": "Person", "name": "Emerson, Steven R." } ], "keywords": [ "Oxygen optodes", "Optical oxygen sensors", "Aanderaa", "Sea-Bird", "Field deployment", "Dissolved oxygen", "Calibration", "Intercomparison", "Luminescence quenching", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2059", "name": "Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation Volume 7.0. Aquatic Primary Productivity Field Protocols for Satellite Validation and Model Synthesis.", "description": " - The measurement of aquatic primary productivity (PP) is central to the quantitative understanding of the global biosphere, yielding critical insights into the role and magnitude of carbon, oxygen, and other bioactive element fluxes between the ocean, the geosphere, and the atmosphere. The accumulation of theoretical, methodological, and technological advances has led to the development of numerous approaches to measure oceanic PP, all with the common objective of quantifying the fluxes of reduced carbon into aquatic ecosystems. Methods to derive estimates of PP include, the analysis of incubations to measure dissolved oxygen gas accumulation and consumption, radioactive 14C, stable 13C, and 18O uptake, isotopic composition of atmospheric and dissolved oxygen, underway measurements of O2\/Ar, kinetic measurements of variable chlorophyll fluorescence, and temporally and spatially integrated time series from gliders or buoys. Integrating these measurements with satellite observations of ocean biomass and its physical environment enable the scaling up of PP data into a comprehensive, global picture. The main goal for these PP protocols is to establish a set of best practices across multiple methods for measuring aquatic primary productivity, in an effort to constrain systematic and random measurement biases. Through a better understanding of the different capabilities, assumptions, and limitations inherent to each measurement, users may leverage the assets and liabilities of each method in the context of satellite validation and model synthesis. - , - NASA, IOCCG, JAXA - , - Published - , - Contributing authors: Balch, W.M., Carranza, M., Cetini\u0107, I., Chaves, J.E., Duhamel, S., Fassbender, A., Fernandez-Carrera, A., Ferr\u00f3n, S., Garc\u00eda-Mart\u00edn, E., Goes, J., Gomes, H., Gundersen, K., Halsey, K., Hirawake, T., Isada, T., Juranek, L., Kulk, G., Langdon, C., Letelier, R., L\u00f3pez-Sandoval, D., Mannino, A., Marra, J.F., Neale, P., Nicholson, D., Silsbe, G., Stanley, R.H., Vandermeulen, R.A. - , - Refereed - , - Current - , - Ocean colour - , - Mature - , - Best Practice - , - International - , - Ocean colour - , - Method - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2059", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2059", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2059", "url": "https:\/\/hdl.handle.net\/11329\/2059" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1251", "name": "Moving open access implementation forward: a handbook for open access good practice based on experiences of UK higher education institutions.", "description": " - This handbook summarises the lessons learned by the open access good practice (OAGP) initiative and points towards key tools and resources that have been produced. It is aimed at staff involved in supporting open access implementation at their institutions in the UK. The move towards open access publishing has accelerated its pace because OA is increasingly required by funders\u2019 and institutional policies. While higher education institutions have generally responded quickly, more support was needed to support the transition, which is complex and challenging for institutions in terms of changing systems, processes and culture. - , - Published - , - Refereed - , - Current - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1251", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1251", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1251", "url": "https:\/\/hdl.handle.net\/11329\/1251" }, "author": [ { "@type": "Person", "name": "Blanchett, Helen" }, { "@type": "Person", "name": "DeGroff, Hannah" } ], "contributor": [ { "@type": "Organization", "name": "JISC" } ], "keywords": [ "Open access", "Parameter Discipline::Administration and dimensions", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2302", "name": "IUCN SSC Best Practices Guidelines Marine Specialists Groups : Experience and examples.", "description": " - The IUCN SSC hosts multiple Species Specialist Groups and Task Forces (collectively referred to as SGs), volunteer groups who dedicate their time and expertise to promoting the conservation of many different taxa around the globe. While the 2021-2025 Species Strategic Plan, the terms of reference for SSC SGs, and a series of other formal resources are available to guide SGs in their work to apply the Assess- Plan-Act Conservation Cycle, these do not necessarily address the less official aspects of how SGs structure their work and motivate their members in these volunteer efforts. This compilation of \u2018Best Practice\u2019 reflects a series of conversations with the (Co-)Chairs of 23 Marine SGs. Ten different \u2018modules\u2019 address highly practical themes, ranging from \u2018membership and recruitment\u2019 to \u2018fundraising\u2019. Chairs shared their solutions to overcoming some of the challenges posed by trying to work across a range of geographies and cultures to promote effective and inclusive work on all aspects of the Conservation Cycle. Although it is difficult to summarise 23 hours of conversations in a single page, here are some of the overarching conclusions related to current Marine SG practices: \u2022 There is no single \u2018best\u2019 way to run an SG. The configurations of SG leadership teams and wider membership vary enormously, depending on the geographic ranges of target species, the particular origins and evolution of each SG, and the most pressing conservation issues each group faces. Groups can range from 12 to over 400 members. Leadership structures can be flat and involve all SG members, or highly structured with multiple vice chairs and regional or thematic working groups that sometimes have their own internal sub-structures. \u2022 Many SGs feel strong and confident when it comes to the Assess element of the Conservation Cycle, but find it more challenging to adequately address the Plan and Act elements given their volunteer membership and, in many cases, lack of official legal status that prevents them from holding bank accounts and managing projects. Some SGs are finding creative ways to create or collaborate with host institutions, or partner NGOs who can act as the SG\u2019s \u2018operational\u2019 arm and help to fundraise and implement conservation projects. This has also allowed some groups to be able to compensate Programme Officers or Chairs for the time that they spend on SG work. \u2022 In the context of limited funding and human resources, most SGs advocate careful planning of targets so that the group\u2019s work builds on the strengths and interests of members who will be able to share the Chairs\u2019 burdens and take the lead on projects and initiatives. \u2022 SGs that have been able to invest in the Network and Communication components of the Conservation Cycle have often reaped the benefits of increased support for their work. Websites and Social media platforms can increase awareness of SG work among a range of stakeholders, including potential donors - , - Published - , - Refereed - , - Current - , - Mature - , - Organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2302", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2302", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2302", "url": "https:\/\/hdl.handle.net\/11329\/2302" }, "contributor": [ { "@type": "Organization", "name": "International Union for the Conservation of Nature (IUCN)" } ], "keywords": [ "Steering Group management", "Organization", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/865", "name": "A Catalogue of Marine Biodiversity Indicators.", "description": " - A Catalogue of Marine Biodiversity Indicators was developed with the aim of providing the basis for assessing the environmental status of the marine ecosystems. Useful for the implementation of the Marine Strategy Framework Directive (MSFD), this catalogue allows the navigation of a database of indicators mostly related to biological diversity, non-indigenous species, food webs, and seafloor integrity. Over 600 indicators were compiled, which were developed and used in the framework of different initiatives (e.g. EU policies, research projects) and in national and international contexts (e.g. Regional Seas Conventions, and assessments in non-European seas). The catalogue reflects the current scientific capability to address environmental assessment needs by providing a broad coverage of the most relevant indicators for marine biodiversity and ecosystem integrity. The available indicators are reviewed according to their typology, data requirements, development status, geographical coverage, relevance to habitats or biodiversity components, and related human pressures. Through this comprehensive overview, we discuss the potential of the current set of indicators in a wide range of contexts, from large-scale to local environmental programs, and we also address shortcomings in light of current needs. Developed by the DEVOTES Project, the catalogue is freely available through the DEVOTool software application, which provides browsing and query options for the associated metadata. The tool allows extraction of ranked indicator lists best fulfilling selected criteria, enabling users to search for suitable indicators to address a particular biodiversity component, ecosystem feature, habitat or pressure in a marine area of interest. This tool is useful for EU Member States, Regional Sea Conventions, the European Commission, non-governmental organizations, managers, scientists and any person interested in marine environmental assessment. It allows users to build, complement or adjust monitoring programs and has the potential to improve comparability and foster transfer of knowledge across marine regions. - , - DEVOTES Project: software application DEVOTool http:\/\/www.devotes-project.eu\/devotool\/ - , - Refereed - , - 14,2 - , - Manual - , - Guide - , - 2016-06-24 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/865", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/865", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/865", "url": "https:\/\/hdl.handle.net\/11329\/865" }, "author": [ { "@type": "Person", "name": "Teixeira, Heliana" }, { "@type": "Person", "name": "Berg, Torsten" }, { "@type": "Person", "name": "Uusitalo, Laura" }, { "@type": "Person", "name": "F\u00fcrhaupter, Karin" }, { "@type": "Person", "name": "Heiskanen, Anna-Stiina" }, { "@type": "Person", "name": "Mazik, Krysia" }, { "@type": "Person", "name": "Lynam, Christopher P." }, { "@type": "Person", "name": "Neville, Suzanna" }, { "@type": "Person", "name": "Rodriguez, J. German" }, { "@type": "Person", "name": "Papadopoulou, Nadia" }, { "@type": "Person", "name": "Moncheva, Snejana" }, { "@type": "Person", "name": "Churilova, Tanya" }, { "@type": "Person", "name": "Kryvenko, Olga" }, { "@type": "Person", "name": "Krause-Jensen, Dorte" }, { "@type": "Person", "name": "Zaiko, Anastasija" }, { "@type": "Person", "name": "Ver\u00edssimo, Helena" }, { "@type": "Person", "name": "Pantazi, Maria" }, { "@type": "Person", "name": "Carvalho, Susana" }, { "@type": "Person", "name": "Patr\u00edcio, Joana" }, { "@type": "Person", "name": "Uyarra, Maria C." }, { "@type": "Person", "name": "Borja, \u00c0ngel" } ], "keywords": [ "Ecosystem assessment", "Non-indigenous species", "Invasive species", "Food webs", "Marine Strategy Framework Directive", "MSFD", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2196", "name": "On-site and in situ remediation technologies applicable to metal-contaminated sites in Antarctica and the Arctic: a review.", "description": " - Effective management of contaminated land requires a sound understanding of site geology, chemistry and biology. This is particularly the case for Antarctica and the Arctic, which function using different legislative frameworks to those of industrialized, temperate environments and are logistically challenging environments to operate in. This paper reviews seven remediation technologies currently used, or demonstrating potential for on-site or in situ use at metal-contaminated sites in polar environments, namely permeable reactive barriers (PRB), chemical fixation, bioremediation, phytoremediation, electrokinetic separation, land capping, and pump and treat systems. The technologies reviewed are discussed in terms of their advantages, limitations and overall potential for the management of metal-contaminated sites in Antarctica and the Arctic. This review demonstrates that several of the reviewed technologies show potential for on-site or in situ usage in Antarctica and the Arctic. Of the reviewed technologies, chemical fixation and PRB are particularly promising technologies for metal-contaminated sites in polar environments. However, further research and relevant field trials are required before these technologies can be considered proven techniques. - , - Refereed - , - 14.1 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2196", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2196", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2196", "url": "https:\/\/hdl.handle.net\/11329\/2196" }, "author": [ { "@type": "Person", "name": "Camenzuli, Danielle" }, { "@type": "Person", "name": "Freidman, Benjamin L." }, { "@type": "Person", "name": "Statham, Tom M." }, { "@type": "Person", "name": "Mumford, Kathryn A." }, { "@type": "Person", "name": "Gore, Damian B." } ], "keywords": [ "Bioremediation", "Permeable reactive barriers", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/130", "name": "Best guide and principles manual for the Ships of Opportunity Program (SOOP) and expendable bathythermograph (XBT) operations.", "description": " - This guide provides the best guide practices for the Ship of Opportunity Program for operating Expendable Bathythermograph (XBT) practices. - , - http:\/\/www.jcommops.org\/soopip\/doc\/manuals\/best_guide\/SOOP_best_guide.pdf - , - SOOPIP to review (Gustavo Goni. should be reviewed as a second priority - , - Prepared for the International Oceanographic Commission (IOC) - World Meteorological Organization (WMO) - 3rd Session of the JCOMM Ship of Opportunity Implementation Panel (SOOPIP-III), March 28-31, 2000, La Jolla, California, U.S.A. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/130", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/130", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/130", "url": "https:\/\/hdl.handle.net\/11329\/130" }, "author": [ { "@type": "Person", "name": "Cook, Steven" }, { "@type": "Person", "name": "Sy, Alexander" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "XBT", "Ship observation", "Ship Of Opportunity Programme Implementation Panel (SOOPIP)", "Temperature measurement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2235", "name": "Evaluation of the limit ice thickness for the hull of various Finnish-Swedish ice class vessels navigating in the Russian Arctic.", "description": " - Selection of suitable ice class for ships operation is an important but not simple task. The increased exploitation of the Polar waters, both seasonal periods and geographical areas, as well as the introduction of new international design standards such as Polar Code, reduces the relevancy of using existing experience as basis for the selection, and new methods and knowledge have to be developed. This paper will analyse what can be the limiting ice thickness for ships navigating in the Russian Arctic and designed according to the Finnish-Swedish ice class rules. The permanent deformations of ice-strengthened shell structures for various ice classes is determined using MT Uikku as the typical size of a vessel navigating in ice. The ice load in various conditions is determined using the ARCDEV data from the winter 1998 as the basic database. By comparing the measured load in various ice conditions with the serviceability limit state of the structures, the limiting ice thickness for various ice classes is determined. The database for maximum loads includes 3-weeks ice load measurements during April 1998 on the Kara Sea mainly by icebreaker assistance. Gumbel 1 distribution is fitted on the measured 20 min maximum values and the data is divided into various classes using ship speed, ice thickness and ice concentration as the main parameters. Results encouragingly show that present designs are safer than assumed in the Polar Code suggesting that assisted operation in Arctic conditions is feasible in rougher conditions than indicated in the Polar Code. - , - Refereed - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2235", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2235", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2235", "url": "https:\/\/hdl.handle.net\/11329\/2235" }, "author": [ { "@type": "Person", "name": "Kujala, Pentti" }, { "@type": "Person", "name": "Korgesaar, Mihkel" }, { "@type": "Person", "name": "Kamarainen, Jorma" } ], "keywords": [ "Ice load thickness", "Ice class", "Ship operations", "Polar Code", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2299", "name": "A methodology to uncertainty quantification of essential ocean variables.", "description": " - The goal of this study is to provide a universally applicable procedure for a systematic evaluation of in situ measured data from single sensors regarding quantifying the uncertainty of the measurement results. As determining uncertainty for an environmental parameter also depends on the parameter itself, the focus here will be set on the variable water temperature in the first place. A separate analysis for salinity and other data will follow in later publications. With this first of a series of planned manuscripts on different parameters, we aim at providing a common understanding of how measurement uncertainty on single sensor measurements can be derived. Using an experimental in situ set-up with 6 different standard CTD sensors of two different brands, we created a four month-long, high-quality data set to be used to develop a reliable method for quantifying measurement uncertainties. Although the CTDs were deployed in a mooring in a coastal environment the described method can be extended to other deployment configurations as well. The described procedures have evolved as a stepwise process that takes the different perspectives of the involved authors into account, as well as the special conditions for environmental measurements, which are collected while the observed volume\/area is undergoing a constant change. By sharing the ideas with other stakeholders, the basic concept can be extended to other observing programs and to other essential ocean variables. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2299", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2299", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2299", "url": "https:\/\/hdl.handle.net\/11329\/2299" }, "author": [ { "@type": "Person", "name": "Waldmann, Christoph" }, { "@type": "Person", "name": "Fischer, Philipp" }, { "@type": "Person", "name": "Seitz, Steffen" }, { "@type": "Person", "name": "K\u00f6llner, Manuela" }, { "@type": "Person", "name": "Fischer, Jens-Georg" }, { "@type": "Person", "name": "Bergenthal, Markus" }, { "@type": "Person", "name": "Brix, Holger" }, { "@type": "Person", "name": "Weinreben, Stefan" }, { "@type": "Person", "name": "Huber, Robert" } ], "keywords": [ "Uncertainty quantification", "Essential Ocean Variables (EOV)", "CTD sensors", "Coastal observatory", "Calibration", "Metrology", "Quality control", "Flagging", "Other physical oceanographic measurements", "CTD", "Data quality management", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2183", "name": "Consequence modelling for Arctic ship evacuations using expert knowledge.", "description": " - Risk-based decision-making is central to the development of Arctic shipping policy and regulation. Policy-makers within the International Maritime Organization rely on the Formal Safety Assessment (FSA) methodology to evaluate proposed regulatory changes and Arctic ship operators rely on it to establish operating limits and procedures. The FSA recommends incorporating life-safety consequence in the assessment of maritime industry risk. This paper presents an expert-based assessment of the factors that influence the potential for loss of life during an Arctic ship evacuation and quantified consequence severities for a range of evacuation scenarios. A two-phased mixed methods design is used to elicit expert knowledge. Sixteen experts in the fields of Arctic seafaring, policy and regulation, academia and research, and ship design participated in the study. Semistructured interviews elicited perspectives on the factors that influence the expected number of fatalities resulting from an evacuation in Arctic waters. Surveys were administered in which evacuation scenarios were rated for the level of life-safety consequence severity they pose. This study provides a scenario-based life-safety consequence model for Arctic ship evacuations. Results show evacuation of passenger vessels poses the highest consequence severity of evaluated ship types. Response time and the time available to evacuate have the greatest levels of influence on consequence severity. Implications for Arctic marine policy include the need for enhanced competency and training for Arctic ship crews and SAR services, continued research and development of Arctic life-saving appliances to satisfy Polar Code functional requirements, heightened regulatory oversight of Arctic cruise operations, and consideration of inclusion of fishing vessels under the Polar Code. Application of the results to the FSA methodology is discussed. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2183", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2183", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2183", "url": "https:\/\/hdl.handle.net\/11329\/2183" }, "author": [ { "@type": "Person", "name": "Browne, Thomas" }, { "@type": "Person", "name": "Veitch, Brian" }, { "@type": "Person", "name": "Taylor, Rocky" }, { "@type": "Person", "name": "Smith, Jennifer" }, { "@type": "Person", "name": "Smith, Doug" }, { "@type": "Person", "name": "Khan, Faisal" } ], "keywords": [ "Arctic ship evacuation", "Risk-based decision-making", "Polar Code", "Formal safety assessment", "Life safety", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2568", "name": "Best practice guide on data harmonisation. Version 1.0. MINKE Deliverable 3.2.", "description": " - This document is MINKE\u2019s Deliverable 3.2 \u201cBest practice guide on data harmonisation\u201d. It provides comprehensive guidance documentation on how to enable data harmonisation via specific interoperability standards and vocabularies. This deliverable is the result of a dedicated task on the evaluation of relevant interoperability standards (T3.2) to be recommended for usage in the MINKE project. For creating this deliverable, different aspects of data harmonisation were considered: \u25cf Standards for encoding observation data \u25cf Standards for describing sensor data (metadata) \u25cf Internet of Things protocols for transmitting data from sensing devices \u25cf Interfaces for data access Consequently, this document provides an overview about relevant standards that are recommended to harmonise the exchange of measurement data within the MINKE project but also beyond (e.g., via the European Open Science Cloud). While the identified standards cover mainly syntactic aspects, also the semantics of the encoded content is discussed. For this purpose, an overview of relevant vocabularies is outlined. Specific consideration was given to approaches for handling observation and sensor quality information. For this purpose, additional elements for the identified data and metadata standards are proposed to enable a better determination of data quality and deriving its associated uncertainty. - , - Eurpean Commission Horizon 2020 Programme - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2568", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2568", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2568", "url": "https:\/\/hdl.handle.net\/11329\/2568" }, "author": [ { "@type": "Person", "name": "Autermann, Christian" }, { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Konkol, Markus" }, { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "del Rio, Joaquin" }, { "@type": "Person", "name": "Garcia, Albert" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "Standards", "Uncertainty", "Measruement data", "Data harmonisation", "MINKE Project", "Cross-discipline", "Controlled vocabulary development", "Metadata management", "Data exchange", "Data interoperability development", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1240", "name": "Argo User\u2019s Manual Version 3.3, 22 November 2019.", "description": " - This document is the Argo data user\u2019s manual. It contains the description of the formats and files produced by the Argo Data Assembly Centres (DACs). - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1240", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1240", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1240", "url": "https:\/\/hdl.handle.net\/11329\/1240" }, "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Argo floats", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/924", "name": "Uncertainty estimation for temperature, salinity & chlorophyll-a. D#5.5. Version 1.", "description": " - This document constitutes Deliverable 5.5 of the JERICO project. It is intended to furnish members of the JERICO community with a basic understanding of how to proceed when attempting to establish measurement uncertainty for marine temperature, salinity and chlorophyll-a sensors. The document presents descriptions of the three measurands from a metrological standpoint, and discusses the approaches that could be taken to prepare uncertainty budgets for relevant sensors with some suitable examples and useful advice. The estimation of the uncertainty associated with the results of a measurement is an objective way to numerically depict the trustworthiness of those results. It is, therefore, a crucial part of the measuring process. Any measured value can be considered complete only if accompanied by a relative estimate of uncertainty. However, the latter characteristic is rarely discussed in marine observing circles and in the marine data management community despite its intimate link to sensor performance, data quality and data usability issues. This disregard arises from ignorance concerning the rigor required of modern measuring activity and the complexity of the underlying metrological system supporting it. There is a pressing need to begin to address this state of affairs, and the present publication, intended as a guidance document for members of the JERICO community, is a first step. The document deals with outlining a possible approach to determining uncertainty for sensor measurements of seawater temperature, salinity and chlorophyll-a. The approach is based on the generally accepted methodology for uncertainty evaluations given in the BIPM (Bureau International des Poids et Mesures) publication \u201cEvaluation of measurement data - Guide to the expression of uncertainty in measurement\u201d, commonly referred to as the GUM (2008). In all three cases, the conceived blueprint for action is based on the following topical cornerstones: the specification of the measurand, the descriptions of the realized quantity and the relative reference value, and finally, the identification of the uncertainty components and the quantification of the uncertainty. The present document is intended to be used in conjunction with the GUM, which continues to remain the master reference document for the evaluation of uncertainty in measurement at this time. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/924", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/924", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/924", "url": "https:\/\/hdl.handle.net\/11329\/924" }, "author": [ { "@type": "Person", "name": "Nair, R." }, { "@type": "Person", "name": "Petihakis, G." }, { "@type": "Person", "name": "Ntoumas, M." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "Temperature measurment", "Salinity measurement", "Chlorophyll A measurement", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1394", "name": "Monitoring protocol for coastal reefs. Version 1.0.", "description": " - The aim of this protocol is to elucidate the methodology and rationale applied in the Long-Term Research Program for Coastal Habitats in Esp\u00edrito Santo to monitor marine biodiversity in coastal reefs of the Eastern Brazil Marine Eco-region, in the South Atlantic. The Long Term Research Program Coastal Habitats of Esp\u00edrito Santo LTER HCES started in 2017 and is located on the east coast of Brazil (Fig. 1), with a focus on coastal ecosystems, including estuaries, mangroves, coastal reefs, and rhodolith beds. This is an innovative initiative to assess the spatio-temporal patterns of coastal ecosystems in the Eastern Marine Eco-region of Brazil, where there is a decadal trend of warming. The program combines research and conservation, applied at three Conservation Units: Costa das Algas Environmental Protection Area, Santa Cruz Wildlife Refuge, and the Municipal Integral Protection Area of the Piraqu\u00ea-A\u00e7u and Piraqu\u00ea-Mirim rivers. The projects in LTER HCES aim to investigate the interactions between abiotic, climatic, and ecological dynamics in the benthic communities and ichthyofauna assemblies within several coastal ecosystems. - , - The program is funded by Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico (CNPQ), Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES), and Funda\u00e7\u00e3o de Amparo a Pesquisa no Estado do Esp\u00edrito Santo (FAPES). - , - Published - , - Current - , - 14.2 - , - Hard coral cover and composition - , - Macroalgal canopy cover and composition - , - Invertebrate abundance and distribution - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1394", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1394", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1394", "url": "https:\/\/hdl.handle.net\/11329\/1394" }, "author": [ { "@type": "Person", "name": "Bernardino, Angelo Fraga" }, { "@type": "Person", "name": "Mazzuco, Ana Carolina de Azevedo" }, { "@type": "Person", "name": "Stelzer, Patricia Sarcinelli" } ], "contributor": [ { "@type": "Organization", "name": "The Long-term Ecological Research Program Coastal Habitats of Esp\u00edrito Santo (LTER HCES)" } ], "keywords": [ "Long Term Research Program Coastal Habitats of Esp\u00edrito Santo LTER HCES", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Parameter Discipline::Biological oceanography::Rock and sediment biota", "Instrument Type Vocabulary::cameras", "Instrument Type Vocabulary::manual biota samplers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2063", "name": "USACE Coastal and Hydraulics Laboratory Quality Controlled, Consistent Measurement Archive", "description": " - The US Army Corps of Engineers (USACE) utilizes the National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) buoy measurements for validation of their wave models and within coastal applications. However, NDBC data are accessible via multiple archives; each with their own source-specifc storage, metadata, and quality control protocols, which result in inconsistencies in the accessible data. Therefore, USACE has developed an independent, quality controlled, consistent (QCC) Measurement Archive that captures the best available NDBC observations with verifed metadata. This work details the methodology behind this USACE QCC Measurement Archive; showcasing improvements in data quality via geographical location and wave parameter examples. Note that this methodology only removes known erroneous data, it does not verify data quality from an alternate source. This self-describing, USACE QCC Measurement Archive therefore provides a database of consistently stored, geographically QA\/QC\u2019d NDBC data and metadata. - , - Refereed - , - 14.a - , - Sea state - , - Sea surface temperature - , - Pilot or Demonstrated - , - National - , - Sea state - , - Sea surface temperature - , - Atmosphere surface pressure - , - Atmosphere surface temperature - , - Atmosphere surface wind speed & direction - , - Method - , - Methodological commentary\/perspect - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2063", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2063", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2063", "url": "https:\/\/hdl.handle.net\/11329\/2063" }, "author": [ { "@type": "Person", "name": "Hall, Candice" }, { "@type": "Person", "name": "Jensen, Robert" } ], "keywords": [ "USACE QCC Measurement Archive", "Waves", "Meteorology", "Anemometers", "Wave recorders", "Meteorological packages", "Water temperature sensor", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2269", "name": "Sea ice assimilation into a coupled ocean-sea ice model using its adjoint.", "description": " - Satellite sea ice concentrations (SICs), together with several ocean parameters, are assimilated into a regional Arctic coupled ocean-sea ice model covering the period of 2000-2008 using the adjoint method. There is substantial improvement in the representation of the SIC spatial distribution, in particular with respect to the position of the ice edge and to the concentrations in the central parts of the Arctic Ocean during summer months. Seasonal cycles of total Arctic sea ice area show an overall improvement. During summer months, values of sea ice extent (SIE) integrated over the model domain become underestimated compared to observations, but absolute differences of mean SIE to the data are reduced in nearly all months and years. Along with the SICs, the sea ice thickness fields also become closer to observations, providing added value by the assimilation. Very sparse ocean data in the Arctic, corresponding to a very small contribution to the cost function, prevent sizable improvements of assimilated ocean variables, with the exception of the sea surface temperature. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2269", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2269", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2269", "url": "https:\/\/hdl.handle.net\/11329\/2269" }, "author": [ { "@type": "Person", "name": "Koldunov, Nikolay V." }, { "@type": "Person", "name": "Koehl, Armin" }, { "@type": "Person", "name": "Serra, Nuno" }, { "@type": "Person", "name": "Stammer, Detlef" } ], "keywords": [ "Sea Ice", "Cryosphere", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1360", "name": "Community-based methods for monitoring coastal erosion: a step-by-step guide for documenting shoreline change in your community.", "description": " - This booklet provides comprehensive instructions for implementing three community-based shoreline monitoring systems, with all instructions designed to be completed by local residents. Tips for selecting monitoring sites, instructions for site installation and data collection, and all necessary materials are explained in a step-by-step format. By building an understanding of long-term shoreline change, Alaskans will be better prepared to respond and adapt to impacts to their public health, safety, infrastructure, and well-being.The majority of rural Alaskan communities are located near oceans, rivers, and lakes, and many are particularly vulnerable to shoreline change. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1360", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1360", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1360", "url": "https:\/\/hdl.handle.net\/11329\/1360" }, "author": [ { "@type": "Person", "name": "Buzard, Richard" }, { "@type": "Person", "name": "Overbeck, Jacquelyn" }, { "@type": "Person", "name": "Maio, C.V." } ], "contributor": [ { "@type": "Organization", "name": "Alaska Division of Geological & Geophysical Surveys" } ], "keywords": [ "Community based monitoring", "Coastal erosion", "Parameter Discipline::Environment", "Instrument Type Vocabulary::observers", "Instrument Type Vocabulary::cameras", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2207", "name": "Trends in Winter Light Environment Over the Arctic Ocean: A Perspective From Two Decades of Ocean Color Data.", "description": " - The last few decades have seen a decrease in Arctic ice cover, leading to changes in the structure and function of marine ecosystems. Yet sustained long-term observations of the marine environment are difficult to acquire. Harsh environments limit in situ measurements, while low light and high solar angles hinder ocean color observations from satellite. Here we use masks of valid-invalid ocean color pixels to diagnose ocean conditions and find strong positive trends in the Arctic open-water season close to the ice sheet, generally consistent with sea ice products from satellites. The North East Atlantic with no seasonal ice cover shows weaker, but significant trends indicative of decreasing winter cloud cover. Decreases in both sea ice and cloud cover will increase light availability at the sea surface and potentially enhance phytoplankton growth. Our method allows the winter light conditions to be studied at temporal and spatial scales relevant for phytoplankton dynamics. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2207", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2207", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2207", "url": "https:\/\/hdl.handle.net\/11329\/2207" }, "author": [ { "@type": "Person", "name": "Jonsson, Bror F." }, { "@type": "Person", "name": "Sathyendranath, Shubha" }, { "@type": "Person", "name": "Platt, Trevor" } ], "keywords": [ "Sea ice", "Phytoplankton", "Satellite oceanography", "Biological oceanography", "Other physical oceanographic measurements", "radiometers", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/837", "name": "QARTOD \u2013 IOOS DMAC Relationship. [Presentation at QARTOD III November 2\u20134, 2005]", "description": " - The composition, capabilities and activities of IOOS DMAC are presented. The relevance of these activities to QARTOD are reviewed, the relationship between DMAC and QARTOD is considered, and future interactions are proposed. - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/837", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/837", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/837", "url": "https:\/\/hdl.handle.net\/11329\/837" }, "author": [ { "@type": "Person", "name": "Bosch, Julie" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Coastal Data Development Center" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1957", "name": "Agreement on Enhancing International Arctic Scientific Cooperation [signed at the Fairbanks Ministerial meeting, 11 May, 2017.]", "description": " - Agreement on Enhancing International Arctic Scientific Cooperation, signed at the Fairbanks Ministerial meeting, 11 May, 2017. The Government of Canada, the Government of the Kingdom of Denmark, the Government of the Republic of Finland, the Government of Iceland, the Government of the Kingdom of Norway, the Government of the Russian Federation, the Government of the Kingdom of Sweden, and the Government of the United States of America (hereinafter referred to as the \"Parties\"), - , - Published - , - Current - , - Mature - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1957", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1957", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1957", "url": "https:\/\/hdl.handle.net\/11329\/1957" }, "contributor": [ { "@type": "Organization", "name": "Arctic Council" } ], "keywords": [ "International agreement", "STCF", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1358", "name": "Wave Measurements from Radar Tide Gauges.", "description": " - Currently the NOAA Center for Operational Oceanographic Products and Services (CO-OPS) is transitioning the primary water level sensor at most NWLON stations, from an acoustic ranging system, to microwave radars. With no stilling well and higher resolution of the open sea surface, microwave radars have the potential to provide real-time wave measurements at NWLON sites. Radar sensors at tide stations may offer a low cost, convenient way to increase nearshore wave observational coverage throughout the U.S. to support navigational safety and ocean research applications. Here we present the results of a field study, comparing wave height measurements from four radar water level sensors, with two different signal types (pulse and continuous wave swept frequencymodulation-CWFM). A nearby bottomacoustic wave and current sensor is used as a reference. An overview of field setup and sensors will be presented, along with an analysis of performance capabilities of each radar sensor. The study includes results from two successive field tests. In the first, we examine the performance from a pulse microwave radar (WaterLOG H-3611) and two CWFM (Miros SM-94 and Miros SM-140). While both types of radars tracked significant wave height well over the test period, the pulse radar had less success resolving high frequency wind wave energy and showed a high level of noise toward the low frequency end of the spectrum. The pulse WaterLOG radar limitations were most apparent during times of high winds and locally developing seas. The CWFM radars demonstrated greater capability to resolve those higher frequency energies, while avoiding low frequency noise. The initial field test results motivated a second field test, focused on the comparison of wave height measurements from two pulse radar water level sensors, the WaterLOG H3611 and the Endress and Hauser Micropilot FMR240. Significant wave height measurements from both radar water level sensors compared well to reference AWAC measurements over the test period, but once again the WaterLOG radar did not adequately resolve wind wave energy in high frequency bands and showed a high level of noise toward the low frequency end of the spectrum. The E+H radar demonstrated greater capability to resolve those higher frequency energies while avoiding the low frequency aliasing issue observed in the WaterLOG. - , - Refereed - , - 14.A - , - Sea surface height - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1358", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1358", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1358", "url": "https:\/\/hdl.handle.net\/11329\/1358" }, "author": [ { "@type": "Person", "name": "Fiorentino, Laura A." }, { "@type": "Person", "name": "Heitsenrether, Robert" }, { "@type": "Person", "name": "Krug, Warren" } ], "keywords": [ "Microwave radar", "Surface waves", "Water level", "Pulse radar", "Significant wave height", "Parameter Discipline::Physical oceanography::Waves", "Microwave radar" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2349", "name": "A new small device made of glass for separating microplastics from marine and freshwater sediments.", "description": " - Separating microplastics from marine and freshwater sediments is challenging, but necessary to determine their distribution, mass, and ecological impacts in benthic environments. Density separation is commonly used to extract microplastics from sediments by using heavy salt solutions, such as zinc chloride and sodium iodide. However, current devices\/apparatus used for density separation, including glass beakers, funnels, upside-down funnel-shaped separators with a shut-off valve, etc., possess various shortcomings in terms of recovery rate, time consumption, and\/or usability. In evaluating existing microplastic extraction methods using density separation, we identified the need for a device that allows rapid, simple, and efficient extraction of microplastics from a range of sediment types. We have developed a small glass separator, without a valve, taking a hint from an Uterm\u00f6hl chamber. This new device is easy to clean and portable, yet enables rapid separation of microplastics from sediments. With this simple device, we recovered 94\u201398% of <1,000 \u03bcm microplastics (polyethylene, polypropylene, polyvinyl chloride, polyethylene terephthalate, and polystyrene). Overall, the device is efficient for various sizes, polymer types, and sediment types. Also, microplastics collected with this glass-made device remain chemically uncontaminated, and can, therefore, be used for further analysis of adsorbing contaminants and additives on\/to microplastics. - , - Refereed - , - 14.a - , - Marine debris - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2349", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2349", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2349", "url": "https:\/\/hdl.handle.net\/11329\/2349" }, "author": [ { "@type": "Person", "name": "Nakajima, Ryota" }, { "@type": "Person", "name": "Tsuchiya, Masashi" }, { "@type": "Person", "name": "Lindsay, Dhugal J." }, { "@type": "Person", "name": "Kitahashi, Tomo" }, { "@type": "Person", "name": "Fujikura, Katsunori" }, { "@type": "Person", "name": "Fukushima, Tomohiko" } ], "keywords": [ "Microplastics", "Isolation", "Glass", "Portable", "Low cost", "Separation", "Sediment", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1697", "name": "MEDIN data guideline for side scan sonar (SSS) data. Version 2.2.", "description": " - This guideline is a data archive standard for side scan sonar data. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1697", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1697", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1697", "url": "https:\/\/hdl.handle.net\/11329\/1697" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1572", "name": "Salish Sea Ambient Noise Study: Best Practices. (2021).", "description": " - All monitoring locations and hydrophone systems have unique features that affect the ability to monitor ambient noise levels accurately. As anthropogenic underwater noise effects on marine species becomes increasing important globally, it is imperative to understand how best to consistently measure, analyze, and account for factors contributing to the soundscape. The Enhancing Cetacean Habitat and Observation Program, led by the Vancouver Fraser Port Authority, seeks to mitigate shipping noise effects on at-risk whales, particularly endangered Southern Resident Killer Whales. Utilizing two years of data from three different, cabled inshore hydrophone stations in the Salish Sea, this high-level review aims to help understand and address key environmental and anthropogenic factors that contribute to ambient noise. Contributions from: the hydrophone system and ancillary equipment; rain, wind and tidal currents; factors affecting sound propagation; biological presence; and vessel traffic are considered in this study, and \u201cbest practice\u201d recommendations for undertaking standardized long-term noise assessment are provided. Key findings highlight that early and frequent quality assessment protocols are imperative, weather and tidal information should be collected proximate to the hydrophone, vessel traffic was the dominating influence at all locations across all measured frequencies, and validated noise models should augment empirical data collection. Monthly variability in sound pressure levels was 2-6 dB, highlighting the analytical challenges in determining \u201cexisting\u201d conditions and detecting trends or testing mitigation strategies. Accounting for the key factors contributing to the soundscape is considered critical in these evaluations. - , - This work was sponsored and financially supported by the Vancouver Fraser Port Authority. Transport Canada provided additional financial support. - , - Unpublished - , - Non Refereed - , - Current - , - 14.A - , - Ocean Sound - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1572", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1572", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1572", "url": "https:\/\/hdl.handle.net\/11329\/1572" }, "author": [ { "@type": "Person", "name": "Eickmeier, Justin" }, { "@type": "Person", "name": "Tollit, Dominic" }, { "@type": "Person", "name": "Trounce, Krista" }, { "@type": "Person", "name": "Warner, Graham" }, { "@type": "Person", "name": "Wood, Jason" }, { "@type": "Person", "name": "MacGillivray, Alex" }, { "@type": "Person", "name": "Li, Zizheng" } ], "contributor": [ { "@type": "Organization", "name": "Vancouver Fraser Port Authority, Enhancing Cetacean Habitat and Observation (ECHO) Program" } ], "keywords": [ "Sound pressure", "Ambient noise", "Sound fields", "Soundscape", "Source levels", "Metocean data", "Sound speed profiles", "Ocean currents", "Receivers", "Cetaceans", "Whales", "Noise effects", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::hydrophones", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2466", "name": "European seagrasses: an introduction to monitoring and management.", "description": " - With this booklet, we aim to give environmental managers a basic introduction to monitoring and management of European seagrasses. Several countries already have established comprehensive and advanced monitoring programmes for seagrasses, but in many European countries programmes are virtually absent. We here, primarily, target the latter group by compiling and presenting basic information on what seagrasses are, what their importance is, the factors controlling their performance, the threats against them and the temporal scales for seagrass recovery. Next, we introduce the reader to basic monitoring strategies and parameters, and, finally, we present recommendations as to how seagrass beds can be protected and recovered through environmental management. If coastal managers on this basis decide to initiate monitoring and management programmes for seagrasses, they will need more detailed information than provided by this booklet. Hence, we have listed links and references to existing seagrass monitoring programmes, manuals on seagrass monitoring and a number of relevant scientific papers. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.2 - , - Seagrass cover and composition - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2466", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2466", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2466", "url": "https:\/\/hdl.handle.net\/11329\/2466" }, "contributor": [ { "@type": "Organization", "name": "Monitoring and Managing of European Seagrasses Project" } ], "keywords": [ "Monitoring guidelines", "Macroalgae and seagrass", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1230", "name": "Harmonizing the Metadata Among Diverse Climate Change Datasets.", "description": " - One of the critical problems in the curation of research data is the harmonization of its internal metadata schemata. The value of harmonizing such data is well illustrated by the Berkeley Earth project, which successfully integrated into one metadata schema the raw climate datasets from a wide variety geographical sources and time periods (250 years). Doing this enabled climate scientists to calculate a more accurate estimate of the recent changes in Earth\u2019s average land surface temperatures and to ascertain the extent to which climate change is anthropogenic. This paper surveys some of the approaches that have been taken to the integration of data schemata in general and examines some of the specific metadata features of the source surface temperature datasets that were harmonized by Berkeley Earth. The conclusion drawn from this analysis is that the original source data and the Berkeley Earth common format provides a promising training set on which to apply machine learning methods for replicating the human data integration process. This paper describes research in progress on a domain-independent approach to the metadata harmonization problem that could be applied to other fields of study and be incorporated into a data portal to enhance the discoverability and reuse of data from a broad range of data sources. - , - Refereed - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1230", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1230", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1230", "url": "https:\/\/hdl.handle.net\/11329\/1230" }, "author": [ { "@type": "Person", "name": "Vellino, Andr\u00e9" } ], "keywords": [ "Metadata harmonization", "Berkeley Earth", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2035", "name": "Mainstreaming Equity and Justice in the Ocean.", "description": " - Equity and justice considerations have risen to the surface in policy deliberations, management decisions, and program design related to marine conservation, fisheries management, and blue economy development. These topics have been brought to the forefront by academic documentation of social justice and distributional issues across these different marine policy realms (Kittinger et al., 2017; Cohen et al., 2019; Martin et al., 2019; Armstrong, 2020; Bennett et al., 2021a) and coinciding civil society efforts to raise the profile of the social injustices facing small-scale fishers, coastal communities, different genders, and diverse racial and ethnic groups (Isaacs, 2019; Johnson, 2020; Gustavsson et al., 2021). Academic and civil society groups and individuals have coined a number of catch phrases to refer to the relationship between equity, justice, and the oceans - including blue justice, marine justice, ocean justice and ocean equity (Martin et al., 2019; Armstrong, 2020; \u00d6sterblom et al., 2020; Bennett et al., 2021a). Small-scale fisheries organizations, for example, coined the now popular term \u2018blue justice\u2019 to refer to the effects of blue growth and industrial fisheries on the rights, resources and livelihoods of small-scale fishers and coastal communities (Cohen et al., 2019; Isaacs, 2019; Bennett et al., 2021a; Jentoft et al., 2022). Scholars also recently proposed \u2018marine justice\u2019 as an academic concept, a paradigm, and a movement that merges concerns for the marine environment and environmental justice (Widener, 2018; Martin et al., 2019). The idea of \u2018ocean equity\u2019 emerged in a 2020 report of the High Level Panel on the Sustainable Ocean Economy titled \u2018Towards Ocean Equity\u2019 that highlighted the need for the burgeoning ocean economy to be inclusive and account for equity in the distribution of benefits (Bennett et al., 2019b; \u00d6sterblom et al., 2020). Marine biologist and conservationist Ayana Elizabeth Johnson uses the phrase \u2018ocean justice\u2019 to underscore the importance of paying attention to climate justice and racial justice issues in ocean conservation (Johnson, 2020). While somewhat different in their history and formulation, the proponents behind each of these catch phrases share a common concern for the need to urgently address emergent equity and justice issues in ocean governance and management. This growing interest in equity and justice in the oceans is positive progress from just a few years ago when these topics were still peripheral in ocean policy deliberations and insufficiently considered in programs and funding focused on oceans and sustainability (Bennett, 2018). Globally, many ocean-focused conservation and development government agencies, non-governmental organizations, and funders have become quite interested in how to embed and operationalize equity and justice in their work (\u00d6sterblom et al., 2020; Bennett et al., 2021b). Yet, these organizations still often lack the foundational knowledge, mandate, capacity, and diversity to be able to adequately account for and address equity and justice issues. This opinion editorial provides six recommendations for how marine conservation and development organizations can establish a strong internal foundation for mainstreaming equity and justice issues in external marine policies, programs, practices and portfolios. - , - Refereed - , - 5 - , - 10.2 - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2035", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2035", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2035", "url": "https:\/\/hdl.handle.net\/11329\/2035" }, "author": [ { "@type": "Person", "name": "Bennett, Nathan J." } ], "keywords": [ "Ocean equity", "Ocean justice", "Blue justice", "Ocean governance", "Marine policy", "Marine conservation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1404", "name": "Data Governance.", "description": " - Data is the lifeblood of any business and is a valued resource and an asset. Good data governance means that all data has a designated owner (usually someone senior in the organisation) to ensure it is managed and looked after as a financial asset. Good data governance can drive efficiencies and enhance public services, whilst at the same time reducing waste and improving value for money. - , - Published - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1404", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1404", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1404", "url": "https:\/\/hdl.handle.net\/11329\/1404" }, "contributor": [ { "@type": "Organization", "name": "UK Environmental Observation Framework (UKEOF)" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/759", "name": "Case histories for Harmful Algal Blooms in desalination.", "description": " - Algae have long been an issue impacting desalination plant operation in areas prone to algal blooms or where macroalgae (seaweeds) and detritus became dislodged from the seabed. Previously and still today, operators and designers may elect to turn down production or shut down SWRO plants, if contract obligations allow, when blooms are infrequent or of short duration. Alternatively, in areas subject to frequent and prolonged blooms, additional pretreatment such as conventional dissolved air flotation (DAF), hitherto designed for brackish water applications, began to be employed as early as 1995. The unprecedented 2008\/2009 bloom of Cochlodinium polykrikoides in the Gulf of Oman and the Gulf1, brought algal blooms to the fore in the desalination industry. SWRO plant shutdowns were up to four months long as pretreatment processes struggled to remove the increased biomass and produce the required RO feedwater quality. Apart from a few exceptions, thermal desalination plants continued to operate without major issue throughout the bloom, as phytoplankton blooms generally pass through intake screens and thermal processes are very forgiving of source water quality. This was demonstrated at the Fujairah 1 hybrid desalination plant where the multi-stage flash (MSF) plant operated throughout the bloom while the adjacent SWRO plant was shut down. Globally, harmful algal blooms (HABs) similar to the 2008 bloom of Cochlodinium polykrikoides are increasing in frequency and severity (Anderson et al. 2012). Coupled with the increasing use of RO as the desalination technology of choice, HABs have become one of the major challenges facing the industry as RO membranes are extremely vulnerable to feedwater quality, making pre-treatment exceptionally important. Smooth operation is contingent on the selection of appropriate pretreatment processes upstream to remove organics, solids, colloids and other foulants from the RO feedwater. The 2008 Gulf HAB highlighted the limitations of conventional pretreatment based on ferric chloride coagulation and single stage dual media filtration (DMF) in removing algal biomass and organics. Ongoing research efforts to identify the algal organic matter (AOM) constituents responsible for membrane fouling and measurement of their removal in pretreatment intensified. To this end, the spike in AOM occurring during a bloom was found to comprise mainly of high molecular weight biopolymers (polysaccharides and proteins), which include sticky transparent exopolymer particles (TEP) (Myklestad 1995; Villacorte 2014). TEP have been shown to form microgels with a high hydraulic resistance and are increasingly recognized to promote biofouling of RO membranes (Villacorte 2014; Berman and Holenberg 2005; Li et al. 2015). With the increasing adoption of low pressure microfiltration (MF) and ultrafiltration (UF) membrane pretreatment, questions were raised as to their performance during algal bloom events and how they compared to conventional pretreatment in removal of AOM. In preparing the Manual and to address some of the above questions, operators, researchers, and plant owners in the desalination industry were contacted as part of an informal survey and invited to contribute case studies related to their experience with algal blooms. As expected, it became clear that algal bloom issues were predominantly encountered in SWRO plants rather than those using thermal desalination. Twelve SWRO plants (Figure 11.1.1) at eleven different sites were in a position to share their experiences from a shortlist of 30 sites that may have experienced HAB issues. Algal blooms, primarily phytoplankton, were reported in almost all geographic locations, in cold and warm seas over a range of salinities affecting municipal and industrial desalination plants. Notable areas affected include the warmer waters of the Gulf of Oman and the Gulf in the Middle East. Case studies include Sohar and Barka 1 in Oman, Fujairah 2 in UAE and the Shuwaikh plant located close to Kuwait\u2019s most important commercial port in the upper reaches of the Gulf where seawater quality is at its poorest. HABs are also commonly found in the cooler waters off the coast of Antofagasta in Northern Chile supplying industry and drinking water for towns in one of the driest areas of the world. Key insights from the 12 case studies are summarized below in terms of impacts experienced, if any, in both conventional and advanced MF\/UF membrane pretreatment plants during algal blooms. Commonly recommended measures implemented in the industry to combat algal blooms are discussed in relation to the case studies mitigation strategies, and lessons learned. This encompasses measures adopted during design and\/or during plant operation, e.g. deepwater intakes (Gold Coast), and DAF (Fujairah 2, Shuwaikh) and\/or direct MF\/UF filtration (Jacobahaven, Sohar), or subsequently enacted in response to HAB events (La Chimba). - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/759", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/759", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/759", "url": "https:\/\/hdl.handle.net\/11329\/759" }, "author": [ { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2314", "name": "Comparison of two rapid automated analysis tools for large FTIR microplastic datasets.", "description": " - One of the biggest issues in microplastic (MP, plastic items <5 mm) research is the lack of standardisation and harmonisation in all fields, reaching from sampling methodology to sample purification, analytical methods and data analysis. This hampers comparability as well as reproducibility among studies. Concerning chemical analysis of MPs, Fourier-transform infrared (FTIR) spectroscocopy is one of the most powerful tools. Here, focal plane array (FPA) based micro-FTIR (\u03bcFTIR) imaging allows for rapid measurement and identification without manual preselection of putative MP and therefore enables large sample throughputs with high spatial resolution. The resulting huge datasets necessitate automated algorithms for data analysis in a reasonable time frame. Although solutions are available, little is known about the comparability or the level of reliability of their output. For the first time, within our study, we compare two well-established and frequently applied data analysis algorithms in regard to results in abundance, polymer composition and size distributions of MP (11\u2013500 \u03bcm) derived from selected environmental water samples: (a) the siMPle analysis tool (systematic identification of MicroPlastics in the environment) in combination with MPAPP (MicroPlastic Automated Particle\/fibre analysis Pipeline) and (b) the BPF (Bayreuth Particle Finder). The results of our comparison show an overall good accordance but also indicate discrepancies concerning certain polymer types\/clusters as well as the smallest MP size classes. Our study further demonstrates that a detailed comparison of MP algorithms is an essential prerequisite for a better comparability of MP data. - , - Refereed - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2314", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2314", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2314", "url": "https:\/\/hdl.handle.net\/11329\/2314" }, "author": [ { "@type": "Person", "name": "Moses, Sonya R." }, { "@type": "Person", "name": "Roscher, Lisa" }, { "@type": "Person", "name": "Primpke, Sebastian" }, { "@type": "Person", "name": "Hufnagl, Benedikt" }, { "@type": "Person", "name": "L\u00f6der, Martin G. J." }, { "@type": "Person", "name": "Gerdts, Gunnar" }, { "@type": "Person", "name": "Laforsch, Christian" } ], "keywords": [ "Fourier-transform infrared (FTIR) spectroscocopy", "Automated microplastic analysis", "siMPle", "Bayreuth Particle Finder (BPF)", "Freshwater samples", "Seawater samples", "Anthropogenic contamination", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/193", "name": "Guide to IGOSS Data Archives and Exchange (BATHY and TESAC). Revised edition 1985. [SUPERSEDED by DOI: https:\/\/doi.org\/10.25607\/OBP-1402]", "description": " - This guide is intended to document the procedures to be followed in processing and archiving BATHY\/TESAC data in the RNODCs for IGOSS and the World Data Centres for Oceanography - , - Published - , - Data archives, IGOSS, IODE, Data management, Data exchange, BATHY, TESAC, Data repository - , - SUPERSEDED - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/193", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/193", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/193", "url": "https:\/\/hdl.handle.net\/11329\/193" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data storage", "Data processing", "Data collections", "Data storage" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2596", "name": "User manual SBE 9plus CTD: Conductivity, Temperature, Depth sensor. Version C.", "description": " - The SBE 9plus continuously measures conductivity, temperature, pressure, and parameters from up to eight auxiliary sensors in salt or fresh water at depths to 10,500 m. It is designed to take vertical profiles at 24 scans\/second. The main housing contains the data collection electronics, telemetry circuitry, and a Paroscientific Digiquartz\u00ae pressure sensor. The pump-controlled, TC-ducted flow reduces spikes in salinity caused by ship heave. The system's slower descent rate improves the resolution of water column features in calm waters. Use the system for either real-time or autonomous operation. >>>>>>>>>>>>>> Mention of a commercial company or product within this repository content does not constitute an endorsement by UNESCO\/IOC-IODE. Use of information from this repository for publicity or advertising purposes concerning proprietary products or the tests of such products is not authorized. >>>>>>>>>> - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2596", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2596", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2596", "url": "https:\/\/hdl.handle.net\/11329\/2596" }, "contributor": [ { "@type": "Organization", "name": "Sea-Bird Electronics Inc." } ], "keywords": [ "Conductivity measurement", "Temperature measurement", "Density measurement", "CTD Measurement", "Water column temperature and salinity", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1313", "name": "Harmonized protocol for monitoring microplastics in biota. Deliverable 4.3.", "description": " - Microplastic pollution is presently considered a high concern topic by scientists, policy makers, governmental bodies, non-governmental organizations and the general public. Microplastics are highly widespread in all environmental compartments (e.g. air, water, sediments and biota) and increasing empirical evidence points towards potential negative effects on organisms, both at an individual scale and potentially at population and ecosystem level, as well as effects on human health. To understand the levels and effects of microplastics on biota, it is important to conduct risk assessment evaluations based on realistic microplastic concentration exposure scenarios which are targeted at identifying the effects of microplastics on species and ecosystems. Realistic data on exposures should derive from reliable monitoring data on the uptake and accumulation of microplastics in biota. Presently, there is sufficient empirical data available to underpin arguments to suggest species that could serve as suitable candidates for monitoring microplastics in the environment. Comparison of available data is still limited due to the use of different analytical methods and reporting units, nonetheless researchers have been providing recommendations and frameworks to surpass these limitations. Many methods initially focused on particles <5 mm in size, and as time and knowledge progressed, researchers have been able to identify smaller particles. However, as research diversified and the research community expanded, comparison between emerging datasets was hampered even further and accuracy has been a key issue in recent publications. In all studies available, particles extracted from biota are not always analytically confirmed as artificial and\/or synthetic polymers, and contamination controls are sometimes lacking. This is especially critical in the case of fibers, which can easily be introduced during sample collection and processing. In addition, some chemicals used to digest biota can cause relevant damage to plastic polymers. While methods have been widely and continually developed and tested, measurement uncertainties are still often unreported or unassessed. Furthermore, reporting formats have also been diverse, depending on the reporter\u2019s background. Data comparison must consider differences between sampled species such as functional group, feeding preferences, habitat and tissue composition (e.g. chitin, calcifications, cellulose, fat, etc.), which have precluded the developments of a reliable harmonized approach to assess microplastic content. In order to understand microplastic uptake and transfer in food webs there is a definite need of ecosystem expertise when selecting species for analysis. This deliverable is a direct contribution to this topic and has been produced under the scope of the JPI-Oceans projects BASEMAN and EPHEMARE, two international and interdisciplinary collaborative research projects aimed at providing solutions to extract and analyze the levels of microplastics in biota. Teams from both projects have worked together to deliver protocols for selecting and analyzing appropriate biota to monitor microplastics in the environment. The provided proposed protocol intends to harmonize laboratory procedures, with recommendations on how to select, extract and monitor microplastics in biota from aquatic environments. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1313", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1313", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1313", "url": "https:\/\/hdl.handle.net\/11329\/1313" }, "author": [ { "@type": "Person", "name": "Bessa, Filipa" }, { "@type": "Person", "name": "Frias, Jo\u00e3o" }, { "@type": "Person", "name": "K\u00f6gel, Tanja" }, { "@type": "Person", "name": "Lusher, Amy" }, { "@type": "Person", "name": "Andrade, Jose Manuel" }, { "@type": "Person", "name": "Antunes, Joana" }, { "@type": "Person", "name": "Sobral, Paula" }, { "@type": "Person", "name": "Pagter, Elena" }, { "@type": "Person", "name": "Nash, R\u00f3is\u00edn" }, { "@type": "Person", "name": "O\u2019Connor, Ian" }, { "@type": "Person", "name": "Pedrotti, Maria Luiza" }, { "@type": "Person", "name": "Kerros, Maria Emmanuelle" }, { "@type": "Person", "name": "Le\u00f3n, Victor" }, { "@type": "Person", "name": "Tirelli, Valentina" }, { "@type": "Person", "name": "Suaria, Giuseppe" }, { "@type": "Person", "name": "Lopes, Clara" }, { "@type": "Person", "name": "Raimundo, Joana" }, { "@type": "Person", "name": "Caetano, Miguel" }, { "@type": "Person", "name": "Gago, Jes\u00fas" }, { "@type": "Person", "name": "Vi\u00f1as, Luc\u00eda" }, { "@type": "Person", "name": "Carretero, Olga" }, { "@type": "Person", "name": "Magnusson, Kerstin" }, { "@type": "Person", "name": "Granberg, Maria" }, { "@type": "Person", "name": "Dris, Rachid" }, { "@type": "Person", "name": "Fischer, Marten" }, { "@type": "Person", "name": "Scholz-B\u00f6ttcher, Barbara" }, { "@type": "Person", "name": "Muniategui, Soledad" }, { "@type": "Person", "name": "Grueiro, Gloria" }, { "@type": "Person", "name": "Fern\u00e1ndez, Ver\u00f3nica" }, { "@type": "Person", "name": "Palazzo, Luca" }, { "@type": "Person", "name": "de Lucia, Andrea" }, { "@type": "Person", "name": "Camedda, Andrea" }, { "@type": "Person", "name": "Avio, Carlo Giacomo" }, { "@type": "Person", "name": "Gorbi, Stefania" }, { "@type": "Person", "name": "Pittura, Lucia" }, { "@type": "Person", "name": "Regoli, Francesco" }, { "@type": "Person", "name": "Gerdts, Gunnar" } ], "contributor": [ { "@type": "Organization", "name": "JPI-Oceans BASEMAN Project" } ], "keywords": [ "Microplastics", "Plastic debris", "Plastic litter", "Marine debris", "", "Parameter Discipline::Environment::Anthropogenic contamination", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1501", "name": "Best Practices for Publishing Biodiversity Data from Environmental Impact Assessments. Version 1.0.", "description": " - This guide aims to help practitioners, consultants and other Interested & Affected Parties (I&APs) working with environmental impact assessments to improve the curation, archiving and management of primary biodiversity data captured during EIA processes and to share data freely and openly in standardized, accessible and interoperable formats through the Global Biodiversity Information Facility (GBIF). I&APs are encouraged to share the most detailed data possible, to support knowledge about species distributions and provide baseline data for future assessment. - , - Published - , - Based on an earlier publication: Cadman M, Chavan V, King N, Willoughby S, Rajvanshi A, Mathur V, Roberts R & Hirsch T (2011) Publishing EIA-Related Primary Biodiversity Data: GBIF-IAIA Best Practice Guide. Fargo, N.D., USA: IAIA Special Publication Series No. 7. Accessible at https:\/\/www.iaia.org\/uploads\/pdf\/sp7.pdf. - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1501", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1501", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1501", "url": "https:\/\/hdl.handle.net\/11329\/1501" }, "author": [ { "@type": "Person", "name": "Rodrigues, Andrew" }, { "@type": "Person", "name": "Endresen, Dag" }, { "@type": "Person", "name": "Figueira, Rui" }, { "@type": "Person", "name": "Villaverde, Cristina" }, { "@type": "Person", "name": "Vega, Miguel" }, { "@type": "Person", "name": "King, Nick" }, { "@type": "Person", "name": "Rajvanshi, Asha" }, { "@type": "Person", "name": "Treweek, Jo" } ], "contributor": [ { "@type": "Organization", "name": "GBIF Secretariat" } ], "keywords": [ "EIA", "Data publication", "Interoperability", "Biodiversity data", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1491", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report PAR instruments Version 2.0. Photosynthetically Available Radiation records 2009-2019.", "description": " - This report describes the quality control procedures applied to PAR data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2019.The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Current - , - 14.A - , - Ocean colour - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1491", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1491", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1491", "url": "https:\/\/hdl.handle.net\/11329\/1491" }, "author": [ { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Trull, Thomas W." }, { "@type": "Person", "name": "Schallenberg, Christina" }, { "@type": "Person", "name": "Harley, James" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::radiometers", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1758", "name": "Recommended best practices for plastic and litter ingestion studies in marine birds: Collection, processing, and reporting.", "description": " - Marine plastic pollution is an environmental contaminant of significant concern. There is a lack of consistency in sample collection and processing that continues to impede meta-analyses and largescale comparisons across time and space. This is true for most taxa, including seabirds, which are the most studied megafauna group with regards to plastic ingestion research. Consequently, it is difficult to evaluate the impacts and extent of plastic contamination in seabirds fully and accurately, and to make inferences about species for which we have little or no data. We provide a synthesized set of recommendations specific for seabirds and plastic ingestion studies that include best practices in relation to sample collection, processing, and reporting, as well as highlighting some \u201ccross-cutting\u201d methods. We include guidance for how carcasses, regurgitations, and pellets should be handled and treated to prevent cross-contamination, and a discussion of what size class of microplastics can be assessed in each sample type. Although we focus on marine bird samples, we also include standardized techniques to remove sediment and biological material that are generalizable to other taxa. Lastly, metrics and data presentation of ingested plastics are briefly reviewed in the context of seabird studies. - , - Refereed - , - 14.1 - , - 14.a - , - Marine debris - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1758", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1758", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1758", "url": "https:\/\/hdl.handle.net\/11329\/1758" }, "author": [ { "@type": "Person", "name": "Provencher, Jennifer F." }, { "@type": "Person", "name": "Borrelle, Stephanie B." }, { "@type": "Person", "name": "Bond, Alexander L." }, { "@type": "Person", "name": "Lavers, Jennifer L." }, { "@type": "Person", "name": "van Franeker, Jan A." }, { "@type": "Person", "name": "K\u00fchn, Susanne" }, { "@type": "Person", "name": "Hammer, Sj\u00far\u00f0ur" }, { "@type": "Person", "name": "Avery-Gomm, Stephanie" }, { "@type": "Person", "name": "Mallory, Mark L." } ], "keywords": [ "Plastic pollution", "Plastic debris", "Marine plastics", "Marine debris", "Plastic ingestion", "Birds", "Bolus", "Diet analysis", "Necropsy", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1396", "name": "OOI Data Product Specification for Fluorometric Chlorophyll-a Concentration. Version 1-01.", "description": " - This document describes the computation used to calculate the OOI Level 1 Fluorometric Chlorophyll-aConcentration core data product, which is calculated using data from the WetLabs twoand three channel fluorometers (FLORD and FLORT, respectively). This document is intended to be used by OOI programmers to construct appropriate processes to create the OOI Level 1 Fluorometric Chlorophyll-a Concentration core data product. - , - Published - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1396", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1396", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1396", "url": "https:\/\/hdl.handle.net\/11329\/1396" }, "author": [ { "@type": "Person", "name": "Neely, Merrie Beth" }, { "@type": "Person", "name": "et al" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership for Ocean Observatories Initiative" } ], "keywords": [ "Parameter Discipline::Chemical oceanography::Other organic chemical measurements", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1512", "name": "Interoperability between metadata standards: a reference implementation for metadata catalogues.", "description": " - To enable the public and private sector to discover, adopt and reuse government information, administrations publish their data on data portals. The data is accompanied by structural metadata, providing information about the datasets. Governments publish information from different domains, including Geospatial Data, Open Data, Statistical Data, Archival Information, which is causing a wide variety of metadata standards. As these metadata standards often are not interoperable, it is a complex task for government administrations to publish their data in line with the regulations in the different data domains. This position paper reviews a potential strategy to simplify the management and reduce the costs of metadata portals. - , - Published - , - Current - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1512", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1512", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1512", "url": "https:\/\/hdl.handle.net\/11329\/1512" }, "author": [ { "@type": "Person", "name": "Nolf, Geraldine" } ], "contributor": [ { "@type": "Organization", "name": "Informatie Vlaanderen" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1592", "name": "International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification.", "description": " - Ocean temperature observations are crucial for a host of climate research and forecasting activities, such as climate monitoring, ocean reanalysis and state estimation, seasonal-to-decadal forecasts, and ocean forecasting. For all of these applications, it is crucial to understand the uncertainty attached to each of the observations, accounting for changes in instrument technology and observing practices over time. Here, we describe the rationale behind the uncertainty specification provided for all in situ ocean temperature observations in the International Quality-controlled Ocean Database (IQuOD) v0.1, a value-added data product served alongside the World Ocean Database (WOD). We collected information from manufacturer specifications and other publications, providing the end user with uncertainty estimates based mainly on instrument type, along with extant auxiliary information such as calibration and collection method. The provision of a consistent set of observation uncertainties will provide a more complete understanding of historical ocean observations used to examine the changing environment. Moving forward, IQuOD will continue to work with the ocean observation, data assimilation and ocean climate communities to further refine uncertainty quantification. We encourage submissions of metadata and information about historical practices to the IQuOD project and WOD. - , - Refereed - , - Subsurface Temperature - , - Validated (tested by third parties) - , - International - , - Subsurface Temperature - , - Drifting buoy - , - Argo profiling float - , - Glider - , - Animal mounted CTD - , - Digital bathythermograph - , - STD (Salinity, Temperature, Depth) - , - Moored buoy - , - Micro bathythermograph - , - Bottle\/Reversing thermometer - , - XCTD (Expendable CTD) - , - XBT (Expendable bathythermograph) - , - MBT (Mechanical Bathythermograph) - , - CTD (Conductivity, Temperature, Depth) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1592", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1592", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1592", "url": "https:\/\/hdl.handle.net\/11329\/1592" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Killick, Rachel E." }, { "@type": "Person", "name": "Boyer, Tim" }, { "@type": "Person", "name": "Reseghetti, Franco" }, { "@type": "Person", "name": "Kizu, Shoichi" }, { "@type": "Person", "name": "Palmer, Matthew D." }, { "@type": "Person", "name": "Cheng, Lijing" }, { "@type": "Person", "name": "Storto, Andrea" }, { "@type": "Person", "name": "Le Menn, Marc" }, { "@type": "Person", "name": "Simoncelli, Simona" }, { "@type": "Person", "name": "Macdonald, Alison M." }, { "@type": "Person", "name": "Domingues, Catia M." } ], "keywords": [ "Physical oceanography", "bathythermographs", "CTD", "expendable CTDs", "water temperature sensor", "Data quality control", "Data aggregation", "Data quality management", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2495", "name": "ISO 748:2021. Hydrometry \u2014 Measurement of liquid flow in open channels \u2014 Velocity area methods using point velocity measurements. Edition 5.", "description": " - This fifth edition cancels and replaces the fourth edition (ISO 748:2007), which has been technically revised. The main changes compared with the previous edition are as follows: \u2014 the document has been updated to take account of technological developments; \u2014 Clause 7 has been revised to reduce uncertainties in measurements; \u2014 ISO 9196 regarding measurement under ice conditions has been incorporated. This document specifies methods for determining the velocity and cross-sectional area of water flowing in open channels and for calculating the discharge employing point velocity measurement devices. It is applicable to methods using rotating-element current meters, acoustic doppler velocimeters (ADVs), acoustic doppler current profiler (ADCP) stationary method, surface velocity measurement including floats and other surface velocity systems. Although some general procedures are discussed, this document does not describe in detail how to use or deploy these systems. NOTE For detailed procedures, refer to guidelines from instrument manufacturers and the appropriate public agencies. - , - Published - , - Refereed - , - Les appellations commerciales \u00e9ventuellement mentionn\u00e9es dans le pr\u00e9sent document sont donn\u00e9es pour information, par souci de commodit\u00e9, \u00e0 l\u2019intention des utilisateurs et ne sauraient constituer un engagement. Pour une explication de la nature volontaire des normes, la signification des termes et expressions sp\u00e9cifiques de l\u2019ISO li\u00e9s \u00e0 l\u2019\u00e9valuation de la conformit\u00e9, ou pour toute information au sujet de l\u2019adh\u00e9sion de l\u2019ISO aux principes de l\u2019Organisation mondiale du commerce (OMC) concernant les obstacles techniques au commerce (OTC), voir www.iso.org\/avant-propos. Le pr\u00e9sent document a \u00e9t\u00e9 \u00e9labor\u00e9 par le comit\u00e9 technique ISO\/TC 113, Hydrom\u00e9trie, sous-comit\u00e9 SC 1, M\u00e9thodes d\u2019exploration du champ des vitesses, en collaboration avec le comit\u00e9 technique CEN\/TC 318, Hydrom\u00e9trie, du Comit\u00e9 europ\u00e9en de normalisation (CEN), conform\u00e9ment \u00e0 l\u2019Accord de coop\u00e9ration technique entre l\u2019ISO et le CEN (Accord de Vienne). Cette cinqui\u00e8me \u00e9dition annule et remplace la quatri\u00e8me \u00e9dition (ISO 748:2007), qui a fait l\u2019objet d\u2019une r\u00e9vision technique. Les principales modifications par rapport \u00e0 l\u2019\u00e9dition pr\u00e9c\u00e9dente sont les suivantes: \u2014 mise \u00e0 jour du document pour tenir compte des \u00e9volutions technologiques; \u2014 r\u00e9vision de l\u2019Article 7 pour r\u00e9duire les incertitudes relatives aux mesurages; \u2014 int\u00e9gration de l\u2019ISO 9196 pour les mesurages dans des conditions de glace. - , - Current - , - 14.A - , - Surface currents - , - Subsurface currents - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2495", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2495", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2495", "url": "https:\/\/hdl.handle.net\/11329\/2495" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Acoustic doppler current profiler (ADCP)", "Surface velocity measurement", "Currents", "current meters", "ADVs and turbulence probes", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2146", "name": "Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets.", "description": " - Millions of in situ ocean temperature profiles have been collected historically using various instrument types with varying sensor accuracy and then assembled into global databases. These are essential to our current understanding of the changing state of the oceans, sea level, Earth\u2019s climate, marine ecosystems and fisheries, and for constraining model projections of future change that underpin mitigation and adaptation solutions. Profiles distributed shortly after collection are also widely used in operational applications such as real-time monitoring and forecasting of the ocean state and weather prediction. Before use in scientific or societal service applications, quality control (QC) procedures need to be applied to flag and ultimately remove erroneous data. Automatic QC (AQC) checks are vital to the timeliness of operational applications and for reducing the volume of dubious data which later require QC processing by a human for delayed mode applications. Despite the large suite of evolving AQC checks developed by institutions worldwide, the most effective set of AQC checks was not known. We have developed a framework to assess the performance of AQC checks, under the auspices of the International Quality Controlled Ocean Database (IQuOD) project. The IQuOD-AQC framework is an open-source collaborative software infrastructure built in Python (available from https:\/\/github.com\/IQuOD). Sixty AQC checks have been implemented in this framework. Their performance was benchmarked against three reference datasets which contained a spectrum of instrument types and error modes flagged in their profiles. One of these (a subset of the Quality-controlled Ocean Temperature Archive (QuOTA) dataset that had been manually inspected for quality issues by its creators) was also used to identify optimal sets of AQC checks. Results suggest that the AQC checks are effective for most historical data, but less so in the case of data from Mechanical Bathythermographs (MBTs), and much less effective for Argo data. The optimal AQC sets will be applied to generate quality flags for the next release of the IQuOD dataset. This will further elevate the quality and historical value of millions of temperature profile data which have already been improved by IQuOD intelligent metadata and observational uncertainty information (https:\/\/doi.org\/10.7289\/v51r6nsf). - , - Refereed - , - 14.a - , - Subsurface Temperature - , - Mature - , - 2023-02-16 - , - Validated (tested by third parties) - , - Subsurface temperature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2146", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2146", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2146", "url": "https:\/\/hdl.handle.net\/11329\/2146" }, "author": [ { "@type": "Person", "name": "Good, S.A." }, { "@type": "Person", "name": "Mills, Bill" }, { "@type": "Person", "name": "Castelao, Guilherme" }, { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Goni, Gustavo" }, { "@type": "Person", "name": "Gouretski, Viktor" }, { "@type": "Person", "name": "Domingues, Catia M." }, { "@type": "Person", "name": "Boyer, Tim" }, { "@type": "Person", "name": "Bringas, Francis" } ], "keywords": [ "XBT", "Argo", "MBT", "DBT", "CTD", "XCTD", "Water column temperature and salinity", "expendable CTDs", "CTD", "Data analysis", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/278", "name": "Manual on Marine Meteorological Services. Volume II. Regional aspects. (2012 edition)", "description": " - The material contained in Volume II does not form part of the Technical Regulations (WMO-No. 49) and is applicable only to the Members of the regional associations (RA) concerned. The words \u201cshall\u201d and \u201cshould\u201d as used in this volume have their dictionary meanings and do not have the regulatory character mentioned in the Introduction to Volume I and in the Introduction to the WMO Technical Regulations. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/278", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/278", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/278", "url": "https:\/\/hdl.handle.net\/11329\/278" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1388", "name": "Modeling the temperature evolution of Svalbard permafrost during the 20th and 21st century.", "description": " - Variations in ground thermal conditions in Svalbard were studied based on measurements and modelling. Ground temperature data from boreholes were used to calibrate a transient heat flow model describing depth and time variations in temperatures. The model was subsequently forced with historical surface air temperature records and possible future temperatures downscaled from multiple global climate models. We discuss ground temperature development since the early 20th century, and the thermal responses in relation to ground characteristics and snow cover. The modelled ground temperatures show a gradual increase between 1912 and 2010, by about 1.5 \u00b0C to 2 \u00b0C at 20 m depth. The active layer thickness (ALT) is modelled to have increased slightly, with the rate of increase depending on water content of the near-surface layers. The used scenario runs predict a significant increase in ground temperatures and an increase of ALT depending on soil characteristics. - , - Refereed - , - 13 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1388", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1388", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1388", "url": "https:\/\/hdl.handle.net\/11329\/1388" }, "author": [ { "@type": "Person", "name": "Etzelm\u00fcller, Bernd" }, { "@type": "Person", "name": "Schuler, Thomas Vikhamar" }, { "@type": "Person", "name": "Isaksen, Ketil" }, { "@type": "Person", "name": "Christiansen, Hanne Hvidtfeldt" }, { "@type": "Person", "name": "Farbrot, Herman" }, { "@type": "Person", "name": "Benestad, Rasmus" } ], "keywords": [ "Permafrost" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1743", "name": "Arctic Marine Data Collection Using Oceanic Gliders: Providing Ecological Context to Cetacean Vocalizations.", "description": " - To achieve effective management and understanding of risks associated with increasing anthropogenic pressures in the ocean, it is essential to successfully and efficiently collect data with high spatio\u2013temporal resolution and coverage. Autonomous Underwater Vehicles (AUVs) are an example of technological advances with potential to provide improved information on ocean processes. We demonstrate the capabilities of a lowpower AUV buoyancy glider for performing long endurance biological and environmental data acquisition in Northern Norway. We deployed a passive acoustic sensor system onboard a SeagliderTM to investigate presence and distribution of cetaceans while concurrently using additional onboard sensors for recording environmental features (temperature, salinity, pressure, dissolved oxygen, and chlorophyll a). The hydrophone recorded over 108.6 h of acoustic data during the spring months of March and April across the continental shelf break and detected both baleen and odontocete species. We observed a change in cetacean detections throughout the survey period, with humpback whale calls dominating the soundscape in the first weeks of deployment, coinciding with the migration toward their breeding grounds. From mid-April, sperm whales and delphinids were the predominant species, which coincided with increasing chlorophyll a fluorescence values associated with the spring phytoplankton blooms. Finally, we report daily variations in background noise associated with fishing activities and traffic in the nearby East Atlantic shipping route. Our results show that gliders provide excellent platforms for collecting information about ecosystems with minimal disturbance to animals, allowing systematic observations of our ocean biodiversity and ecosystem dynamics in response to natural variations and industrial activities. - , - Refereed - , - 14.a - , - Ocean sound - , - Validated (tested by third parties) - , - SeaBird - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1743", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1743", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1743", "url": "https:\/\/hdl.handle.net\/11329\/1743" }, "author": [ { "@type": "Person", "name": "Aniceto, Ana Sofia" }, { "@type": "Person", "name": "Pedersen, Geir" }, { "@type": "Person", "name": "Primicerio, Raul" }, { "@type": "Person", "name": "Biuw, Martin" }, { "@type": "Person", "name": "Lindstr\u00f8m, Ulf" }, { "@type": "Person", "name": "Camus, Lionel Camus" } ], "keywords": [ "Autonomous Underwater Vehicles (AUV)", "Glider", "Marine mammals", "Passive acoustics", "Acoustics", "Other biological measurements", "Passive acoustic sensor" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2372", "name": "Ocean Data Standards Volume 7: SeaDataNet Common Data Index (CDI) metadata model for Marine and Oceanographic Datasets \u2013 XML encoding (including SeaDataNet metadata profile of ISO 19115 - XML encoding, V12.2.0).", "description": " - SeaDataNet Common Data Index (CDI) metadata model for Marine and Oceanographic Datasets \u2013 XML encoding Scope: Proposal to adopt SeaDataNet CDI XML encoding as the reference XML implementation of SeaDataNet CDI metadata model. The SeaDataNet infrastructure, its standards, services and products started to build since the mid-1990s under the EU MAST Programmes with the precursor EDMED, EURONODIM, MEDATLAS projects and continued with the EU-FP5 SeaSearch project (2002-2005). Under EU-FP6 Programme, the distributed SeaDataNet system was set up (2006-2011) and continued into its second phase under the EU-FP7 SeaDataNet II project (2011-2015). In the EU HORIZON 2020 SeaDataCloud project, the infrastructure is being upgraded and expanded making use of cloud services, High Performance Computing technology and taking into account the European Open Science Cloud (EOSC) challenge. SeaDataNet CDI XML encoding has been drafted, published and firstly implemented in the context of SeaDataNet, the leading infrastructure in Europe for marine & ocean data management. Its wide implementation, both by data centres within SeaDataNet and by external organizations makes it also a de-facto standard in the Europe region. The acknowledgement of SeaDataNet CDI XML encoding as a recommended standard by IODE\/JCOMM will further favour interoperability between European data centres and outreach to the broader marine community - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2372", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2372", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2372", "url": "https:\/\/hdl.handle.net\/11329\/2372" }, "author": [ { "@type": "Person", "name": "Schaap, D.M.A." }, { "@type": "Person", "name": "Boldrini, E." }, { "@type": "Person", "name": "Nativi, S." }, { "@type": "Person", "name": "Tosello, V." }, { "@type": "Person", "name": "Fichaut, M." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "XML coding", "Cross-discipline", "Data exchange", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1163", "name": "Styled Layer Descriptor profile of the Web Map Service Implementation Specification [Corrigendum]. Version 1.1.0 (revision 4).", "description": " - This OGC\u00ae Implementation Specification specifies how a Web Map Service can be extended to allow user-defined styling. Different modes for utilizing Symbology Encoding for this purpose are discussed. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1163", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1163", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1163", "url": "https:\/\/hdl.handle.net\/11329\/1163" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1594", "name": "Ocean Best Practices System Guidelines for Depositors, Version 2024-11-14", "description": " - This document will guide Depositors through the workflow stages and the process of completing metadata fields and submitting the full text file of their ocean methodology to OceanBestPractices...... - , - Published - , - Current - , - N\/A - , - International - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1594", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1594", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1594", "url": "https:\/\/hdl.handle.net\/11329\/1594" }, "author": [ { "@type": "Person", "name": "Simpson, Pauline" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO\/IOC Project Office for IODE" } ], "keywords": [ "Administration and dimensions", "Metadata management", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2278", "name": "A comparison between gradient descent and stochastic approaches for parameter optimization of a sea ice model.", "description": " - Two types of optimization methods were applied to a parameter optimization problem in a coupled ocean-sea ice model of the Arctic, and applicability and efficiency of the respective methods were examined. One optimization utilizes a finite difference (FD) method based on a traditional gradient descent approach, while the other adopts a microgenetic algorithm (mu GA) as an example of a stochastic approach. The optimizations were performed by minimizing a cost function composed of model-data misfit of ice concentration, ice drift velocity and ice thickness. A series of optimizations were conducted that differ in the model formulation (smoothed code versus standard code) with respect to the FD method and in the population size and number of possibilities with respect to the mu GA method. The FD method fails to estimate optimal parameters due to the ill-shaped nature of the cost function caused by the strong non-linearity of the system, whereas the genetic algorithms can effectively estimate near optimal parameters. The results of the study indicate that the sophisticated stochastic approach (mu GA) is of practical use for parameter optimization of a coupled ocean-sea ice model with a medium-sized horizontal resolution of 50 km x 50 km as used in this study. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Special Sensor Microwave\/Imager (SSM\/I) - , - Advanced Microwave Scanning Radiometer of the Earth Observation System (AMSR-E) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2278", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2278", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2278", "url": "https:\/\/hdl.handle.net\/11329\/2278" }, "author": [ { "@type": "Person", "name": "Sumata, H." }, { "@type": "Person", "name": "Kauker, F." }, { "@type": "Person", "name": "Gerdes, R." }, { "@type": "Person", "name": "Koeberle, C." }, { "@type": "Person", "name": "Karcher, M." } ], "keywords": [ "Sea ice", "Ice concentration", "Ice drift velocity", "Ice thickness", "Climate change model", "Coupled ocean\u2013sea ice model", "Cryosphere", "radiometers", "Data analysis", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/161", "name": "Environmental design and analysis in marine environmental sampling.", "description": " - The IOC-IMO-UNEP\/GIPME Groups of Experts on Effects of Pollution (GEEP) has been working for a number of years on promoting new ways of understanding how pollutants affect marine biological systems. A major initial focus of GEEP was on calibration workshops where different methods were tested against one another. The Oslo (1986), Bermuda (1988) and Bremerhaven (1992) workshop publications are widely regarded as benchmarks demonstrating that biological effects methods are reliable tools for measurement of the effects of pollutants discharged to the marine environment. IOC through GEEP, in cooperation with UNEP, has published a series of manuals based on the successful techniques and these are listed at the back of this volume. Monitoring programmes for chemical contamination and for biological effects of these contaminants are used globally. Yet often the sampling design of such programmes has received little attention. Monitoring programmes are often conducted in order to be able to tell politicians and managers whether or not the quality of a given sea area is improving or getting worse. More often than not the answer, frequently after many years of measurement, is that the trends are difficult to detect. It is no exaggeration to say that countless millions of dollars are wasted in poor sampling design where there is no possibility of getting the answers to the questions posed by the managers and politicians. Sampling design is a key but neglected aspect of chemical and biological effects monitoring. In this manual, GEEP Vice Chairman, Professor A.J. Underwood of the University of Sydney gives a clear and important account of the key elements of good sampling design, It is our hope that this manual will help change the way that managers and scientists consider their monitoring programmes and that there will be a radical change in sampling design as a consequence. - , - check with Chair (Pierre Daniel) Marine Accident Emergency Support (MAES) - , - Published - , - Environment variables, marine environmental sampling, marine environmental design, variability in measurement, statsical tests, analysis of variance, factorial designs, logarithms, environmental disturbance - , - Professor A.J. Underwood Institute of Marine Ecology Marine Ecology Laboratories All University of Sydney NSW 2006, Australia - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/161", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/161", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/161", "url": "https:\/\/hdl.handle.net\/11329\/161" }, "author": [ { "@type": "Person", "name": "Underwood, A.J." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine environment", "Environmental monitoring", "Environment management", "Variability", "Marine environment", "Measurement", "Environmental monitoring", "Marine environment", "Measurement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1864", "name": "Evaluation of proposed common standards for benthos monitoring in the Arctic-Atlantic \u2013 pilot study in Greenland (INAMon).", "description": " - In 2015, the Greenland Institute of Natural Resources realized a concept for long-term and large-scale monitoring of marine bottom-living invertebrate fauna (benthos) in the Arctic-Atlantic as part of the international research project, Initiating North-Atlantic Benthos Monitoring (INAMon) (Blicher et al. 2015). The initiative was, first of all, motivated by a large gap in knowledge about the benthic ecosystem in the Arctic in general, and about the influence of climate, trawling, oil exploitation and other potential anthropogenic and natural drivers. However, the high cost of benthos studies using conventional methods, and limited financial, logistic and scientific capacities have prevented most Arctic nations to address these gaps in knowledge on the relevant geographical and temporal scales. Therefore, a main goal of INAMon was to develop a cost-efficient approach to benthos monitoring, realistic to be implemented across the Arctic. A \u201ctrawl bycatch-program\u201d was integrated on national fisheries research surveys in Greenland waters. Besides producing high-quality information about focal components of the benthic community in Greenland, the surveys also acted as a platform for knowledge exchange between Arctic benthos specialists in order to ensure methodological consistency and data comparability across nations. During 2015 and 2016 we have reached more than 1100 sampling stations in Greenland, covering a depth range from 40 to 1500 meters, and a latitudinal range from 60 to 76\u00b0N. We have documented a total of >900 different benthos species\/taxa and a wide range of communities. We have significantly increased the knowledge about the occurrence of sponge grounds and dense concentrations of cold-water corals, which are regarded indicators of Vulnerable Marine Ecosystem (VME) habitats. In this report, we show examples of our results, and evaluate the monitoring concept in relation to the identified needs. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1864", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1864", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1864", "url": "https:\/\/hdl.handle.net\/11329\/1864" }, "author": [ { "@type": "Person", "name": "Blicher, Martin E." }, { "@type": "Person", "name": "Hammeken Arboe, Nanette" } ], "contributor": [ { "@type": "Organization", "name": "Pinngortitaleriffik, Greenland Institute of Natural Resources" } ], "keywords": [ "Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2320", "name": "HELCOM Indicator Manual. Version 2020-1.", "description": " - The HELCOM indicators are a critical component of the Baltic Sea Action Plan (BSAP) and its approach to the assessment of good ecological\/environmental status (referred to as \u2018good status\u2019 from here on) in the marine environment. The indicators, and the key assessments of state and pressures they feed into, generally address issues under one of the four goals of the BSAP (see Figure 1). The indicators provide a mechanism to address the effectiveness of the measures put in place to reach the goals and objectives of the BSAP, by regularly synthesising common regional monitoring data into an evaluation of progress towards these goals and the BSAP vision. Previously, within HELCOM, indicator development has taken place via HELCOM projects such as CORESET I and CORESET II, and supported by other large regional projects (e.g. the EU co-financed SPICE Project \u2013 see also list of HELCOM Projects). However, as the HELCOM structure (e.g. implementation of numerous topic specific Expert Groups) and approach for indicator development (e.g. application of lead country approach) has advanced, as well as the sheer number of individual indicators (HELCOM indicator web page), so has the need for the development of a clear strategy to outline the relevant processes for the develop and management of new and existing indicators. This manual describes the optimal development and management of HELCOM indicators. It is however clear that, especially where development is underway or initial indicator evaluations are tested (e.g. candidate or pre-core indicators), not all proposed optimal solutions presented here will be achieved immediately. Some of these optimal solutions may not be possible even at the stage of an indicator becoming a core-indicator, such as where data flows or automation are involved (despite an indicator being functional, approved and capable of carrying out an evaluation). In such cases, this manual should be considered as a guideline to achieving a fully operational and optimal HELCOM indicator. A major aim of this manual is to compile available information of relevance to the HELCOM indicator process into a single document. This overview is intended to outline the stages and process of indicator development, requirements for HELCOM indicators, division of responsibilities, and the flow of information (e.g. between Expert and Working Groups). With clear and accessible guidance technical development can be streamlined and approval stages facilitated. - , - Published - , - Authors: Owen Rowe, Jannica Haldin, Joni Kaitaranta, Heini Ahtiainen - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2320", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2320", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2320", "url": "https:\/\/hdl.handle.net\/11329\/2320" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1111", "name": "Sensor Observation Service. Version 1.0.", "description": " - This document specifies the interface to a Sensor Observation Service, hereinafter \u201cSOS\u201d. The SOS is one of a family of standards and specifications that make up the OGC Sensor Web Enablement activity, hereinafter \u201cSWE\u201d. Currently, the other specifications that pertain to SWE are Sensor Model Language (SensorML), Observations and Measurements (O&M), Sensor Planning Service (SPS), Transducer Markup Language (TML), Sensor Alert Service (SAS), and Web Notification Service (WNS). Work on the predecessor to SOS, Sensor Collection Service (SCS), began during the OGC Web Services 1.1 (OWS 1.1) testbed initiative and focused mainly on the interoperable interface requirements for in-situ sensors and sensor networks. During the OWS 1.2 initiative, the SCS effort focused on the requirements for dynamic remote sensors (and sensor networks) and defined a more explicit interface employing SensorML. The SOS builds on previous SCS efforts and also incorporates an interface employing TML. Suggested additions, changes, and comments on this standard are welcome and encouraged. Such suggestions may be submitted by OGC portal message, email message, or by making suggested changes in an edited copy of this document. This specification deprecates previous versions including version 05-088. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1111", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1111", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1111", "url": "https:\/\/hdl.handle.net\/11329\/1111" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2329", "name": "Rules of Procedure for IODE Programme Components, Programme Activities and Projects.", "description": " - Since the creation of the first IODE projects in the 1990s the terms of reference of a IODE Project and Steering Group have been defined by a Recommendation submitted by the IODE Committee to the IOC Governing body (in the case of IODE this is usually the Assembly) or a Decision by the IODE Committee (in cases where there were no financial implications to IOC). Taking into account the new designations as proposed\/adopted by IODE-XXVII (March 2023) there are now IODE Programme Components, Programme Activities and Projects: \u2022 Programme Component (PC): activity with at least core UNESCO\/IOC RP funding and staff support that enables the activity to operate on a permanent basis; \u2022 Programme Activity (PA): Long-term activity receiving minimal UNESCO\/IOC RP funding supplemented by substantial in-kind and\/or extra-budgetary support; \u2022 Project: Activity that is limited in time and is fully funded from extra-budgetary sources (Each Programme Component or Programme Activity can be further strengthened through \u201cProjects\u201d) The terms of reference of a Programme Component, Programme Activity or Project and its Steering Group can only be modified by the parent body and\/or IOC Governing body (in the case of IODE this is usually the Assembly). - , - Published - , - Refereed - , - Current - , - Mature - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2329", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2329", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2329", "url": "https:\/\/hdl.handle.net\/11329\/2329" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "International Oceanographic Data and Information Exchange (IODE)", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/268", "name": "Manual for the Use of Real-Time Oceanographic Data Quality Control Flags. Version 1.0. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-878]", "description": " - The U.S.Integrated Ocean Observing System (IOOS) has issued Quality Assurance\/Quality Control of Real-Time Oceanographic Data (QARTOD) manuals to be used for identifying the quality of oceanographic data in real time. This data QC flag manual provides information to operators of ocean observing systems about the purpose and protocols of marking or flagging data, so that subsequent use of the data can be properly controlled by both users and automated processes. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/268", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/268", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/268", "url": "https:\/\/hdl.handle.net\/11329\/268" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Data quality flags", "QARTOD", "IOOS", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/482", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume VI: Special Topics in Ocean Optics Protocols and Appendices.", "description": " - Volume VI: This volume gathers chapters covering more specialized topics in the ocean optics protocols. Chapter 1 introduces these special topics in the context of the overall protocols. Chapter 2 is a reformatted, but otherwise unchanged, version of Chapter 11 in Revision 3 describing specialized protocols used for radiometric measurements associated with the Marine Optical Buoy (MOBY) ocean color vicarious calibration observatory. The remaining chapters are new in Revision 4 and cover protocols for radiometric and bio-optical measurements from moored and drifting buoys (Chapter 3), ocean color measurements from aircraft (Chapter 4), and methods and results using LASER sources for stray-light characterization and correction of the MOBY spectrographs (Chapter 5). In the next few years, it is likely that most new additions to the protocols will appear as chapters added to this volume. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/482", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/482", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/482", "url": "https:\/\/hdl.handle.net\/11329\/482" }, "author": [ { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Clark, D. K." }, { "@type": "Person", "name": "Kuwahara, V. S." }, { "@type": "Person", "name": "Lazin, G." }, { "@type": "Person", "name": "Brown, S.W." }, { "@type": "Person", "name": "Fargion, G. S." }, { "@type": "Person", "name": "Yarbrough, M. A." }, { "@type": "Person", "name": "Feinholz, M." }, { "@type": "Person", "name": "Flora, S." }, { "@type": "Person", "name": "Broenkow, W." }, { "@type": "Person", "name": "Kim, Y. S." }, { "@type": "Person", "name": "Johnson, B. C." }, { "@type": "Person", "name": "Yuen, M." }, { "@type": "Person", "name": "Strutton, P. G." }, { "@type": "Person", "name": "Dickey, T. D." }, { "@type": "Person", "name": "Abbott, M. R." }, { "@type": "Person", "name": "Letelier, R. M." }, { "@type": "Person", "name": "Lewis, M. R." }, { "@type": "Person", "name": "McLean, S." }, { "@type": "Person", "name": "Chavez, F. P." }, { "@type": "Person", "name": "Barnard, A." }, { "@type": "Person", "name": "Morrison, J. R." }, { "@type": "Person", "name": "Subramaniam, A." }, { "@type": "Person", "name": "Manov, D." }, { "@type": "Person", "name": "Zheng, X." }, { "@type": "Person", "name": "Harding, L. W. Jr" }, { "@type": "Person", "name": "Barnes, R. A." }, { "@type": "Person", "name": "Lykke, K. R." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center." } ], "keywords": [ "Radiometric measurements", "Marine Optical Buoy (MOBY)", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1577", "name": "Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs.", "description": " - More high-quality, in situ observations of essential marine variables are needed over the seasonal ice zone to better understand Arctic (or Antarctic) weather, climate, and ecosystems. To better assess the potential for arrays of uncrewed surface vehicles (USVs) to provide such observations, five wind-driven and solar-powered saildrones were sailed into the Chukchi and Beaufort Seas following the 2019 seasonal retreat of sea ice. They were equipped to observe the surface oceanic and atmospheric variables required to estimate air-sea fluxes of heat, momentum and carbon dioxide. Some of these variables were made available to weather forecast centers in real time. Our objective here is to analyze the effectiveness of existing remote ice navigation products and highlight the challenges and opportunities for improving remote ice navigation strategies with USVs. We examine the sources of navigational sea-ice distribution information based on post-mission tabulation of the sea-ice conditions encountered by the vehicles. The satellite-based ice-concentration analyses consulted during the mission exhibited large disagreements when the sea ice was retreating fastest (e.g., the 10% concentration contours differed between analyses by up to \u223c175 km). Attempts to use saildrone observations to detect the ice edge revealed that in situ temperature and salinity measurements varied sufficiently in ice bands and open water that it is difficult to use these variables alone as a reliable ice-edge indicator. Devising robust strategies for remote ice zone navigation may depend on developing the capability to recognize sea ice and initiate navigational maneuvers with cameras and processing capability onboard the vehicles. - , - Refereed - , - 14.a - , - Sea ice - , - Ocean surface heat flux - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1577", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1577", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1577", "url": "https:\/\/hdl.handle.net\/11329\/1577" }, "author": [ { "@type": "Person", "name": "Chiodi, Andrew M." }, { "@type": "Person", "name": "Zhang, Chidong" }, { "@type": "Person", "name": "Cokelet, Edward D." }, { "@type": "Person", "name": "Yang, Qiong" }, { "@type": "Person", "name": "Mordy, Calvin W." }, { "@type": "Person", "name": "Gentemann, Chelle L." }, { "@type": "Person", "name": "Cross, Jessica N." }, { "@type": "Person", "name": "Lawrence-Slavas, Noah" }, { "@type": "Person", "name": "Meinig, Christian" }, { "@type": "Person", "name": "Steele, Michael" }, { "@type": "Person", "name": "Harrison, Don E." }, { "@type": "Person", "name": "Stabeno, Phyllis J." }, { "@type": "Person", "name": "Tabisola, Heather M." }, { "@type": "Person", "name": "Zhang, Dongxiao" }, { "@type": "Person", "name": "Burger, Eugene F." }, { "@type": "Person", "name": "O\u2019Brien, Kevin M." }, { "@type": "Person", "name": "Wang, Muyin" } ], "keywords": [ "Saildrone", "USV", "Satellite sea-ice concentration", "Remote navigation", "Air-sea fluxes", "Surface marine observations", "Ice navigation", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1365", "name": "Marine litter: how to monitor, reduce and prevent ocean debris. Focus on plastics and microplastics.", "description": " - We live in the age of plastics. They are ubiquitous in our daily life and in many industrial applications. They play a major role in our economy. Their production continuously increases. However, plastics are not well managed and found their way to the oceans, leading to far-reaching environmental, health, social and economic impacts. Hence the challenge is to maintain the economic and societal benefits brought by plastics but avoiding that they end up in the environment. Although there are knowledge gaps, the key elements are clear: 80% of marine litter is plastics. 94% is on the sea floor, only 1% is floating. Half of the marine litter are single use plastics. Marine plastic litter is found in high concentration on beaches, two orders of magnitude higher than anywhere else. The key points of intervention are beaches, wastewater treatment plants, and rivers. Floating plastics might therefore be less important than it can appear in the media. Many efforts are being implemented at all levels, local, national, European, G7 and worldwide. However, plastics remain overall wrongly managed, in particular in Asia (China and South East Asia). Social awareness is increasing but so do the plastic ending into oceans. There is no one magic bullet solve-it-all solution. What counts most is the coherence between different solution to form a strong package of measures. SWOT analysis of 4 main categories of measures (i) plastic removal, (ii) transformation\/recycling, (iii) WWTP (Waste Water Treatment Plant), and (iv) monitoring, and 31 corresponding technologies were reviewed with their TRL (Technology Readiness Level) estimated. Outcome indicates that the preferred solution in each category is: (i) beach clean-up as it is easy access, highly concentrated and shows strong economic benefits, (ii) Membrane technology appears to be the best technology for filtering microplastics (MPs) and this can be operated in a key intervention point (WWTPs), (iii) monitoring is necessary for informed policies but likely to be difficult and expensive. The FerryBox system appears the most promising but monitoring from space might be the technology that can bring a paradigm change as it did some years ago to measure plankton, and (iv) regarding transforming and recycling the tailor-made solution of Dutch start up \u201cThe Plastic Mining Cooperation\u201d that develops for plastic waste on islands and coastal areas appears to be the \u201cbest\u201d one, also cooperating with local environmental organizations and waste management companies they aim at turning waste into a resource. Overall, three main conclusions emerged from the research project (i) Prevention is better than cure. There is still no solution found for the 94% of plastics on the sea floor, (ii) one size does not fit all. Technologies should be adapted to the social and industrial context of the point of intervention, and (iii) there is a need to develop at the same time long term and short-term approaches. It will be a long journey, but it starts now. - , - H2020 CLAIM Project - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1365", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1365", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1365", "url": "https:\/\/hdl.handle.net\/11329\/1365" }, "author": [ { "@type": "Person", "name": "De Taxis Du Po\u00ebt, Fran\u00e7ois" } ], "contributor": [ { "@type": "Organization", "name": "Vrie Universiteit" } ], "keywords": [ "Marine litter", "Plastic litter", "Plastic debris", "Marine plastics", "Microplastics", "CLAIM Project", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1062", "name": "OGC\u00ae Publish\/Subscribe Interface Standard 1.0 - Core, Version 1.0.", "description": " - Publish\/Subscribe 1.0 is an interface specification that supports the core components and concepts of the Publish\/Subscribe message exchange pattern with OGC Web Services. The Publish\/Subscribe pattern complements the Request\/Reply pattern specified by many existing OGC Web Services. This specification may be used either in concert with, or independently of, existing OGC Web Services to publish data of interest to interested Subscribers. Publish\/Subscribe 1.0 primarily addresses subscription management capabilities such as creating a subscription, renewing a subscription, and unsubscribing. However, this standard also allows Publish\/Subscribe services to advertise and describe the supported message delivery protocols such as SOAP messaging, ATOM, and AMQP. Message delivery protocols should be considered to be independent of the Publish\/Subscribe 1.0 standard. Therefore, OGC Publish\/Subscribe only includes metadata relating to message delivery protocols in sufficient detail to allow for different implementations of Publish\/Subscribe 1.0 to interoperate. This specification defines Publish\/Subscribe functionality independently of the binding technology (e.g., KVP, SOAP, REST). Extensions to this specification may realize these core concepts with specific binding technologies. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1062", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1062", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1062", "url": "https:\/\/hdl.handle.net\/11329\/1062" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2629", "name": "IMOS Fishing Vessels as Ships of Opportunity (FishSOOP), Real-time Quality Assurance and Quality Control Practice Manual, Version 1.0.", "description": " - The Fishing Vessels as Ships of Opportunity Program (FishSOOP) is a sub-Facility within Australia\u2019s Integrated Marine Observing System (IMOS) for oceanographic data collection using fishing vessels as Ships of Opportunity, run through the Sydney Institute of Marine Science (SIMS) and the University of New South Wales (UNSW), Sydney. FishSOOP operates in collaboration with the international Fishing Vessel Observation Network (FVON). This document outlines the recommended data quality assurance (QA), and data quality control (QC) procedures developed for FishSOOP. Detailed documentation is provided of QA and QC, including pre-deployment, during-deployment and post-deployment checks, and the quality control methods that are applied in real time, automated and delayed mode to ensure rigorous data collection, processing and archival of the de-identified data. FishSOOP uses ZebraTech Moana temperature and pressure sensors, in conjunction with communication deck units, also developed by ZebraTech, thus focusing the FishSOOP dataset on temperature, depth, time and position data ranging from tropical to polar waters. Details of data processing in Amazon Web Services and archival are also provided - , - Published - , - Refereed - , - Current - , - 14.a - , - Subsurface temperature - , - Mature - , - Multi-organisational - , - National - , - International - , - Subsurface Temperature - , - Pressure - , - Moana TD200 - , - Moana TD2000 - , - Moana TD1000 - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2629", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2629", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2629", "url": "https:\/\/hdl.handle.net\/11329\/2629" }, "author": [ { "@type": "Person", "name": "Lago, V\u00e9ronique" }, { "@type": "Person", "name": "Roughan, Moninya" }, { "@type": "Person", "name": "Caon, Stella" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System" } ], "keywords": [ "Water column temperature and salinity", "water temperature sensor", "Data acquisition", "Data quality control", "Data quality management", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1285", "name": "Best practices for Caribbean Fishers coping with Sargassum.", "description": " - What is Sargassum? - , - CC4FISH and FAO - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1285", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1285", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1285", "url": "https:\/\/hdl.handle.net\/11329\/1285" }, "author": [ { "@type": "Person", "name": "Speede, Richeda F." }, { "@type": "Person", "name": "Cox, Shelley-Ann" }, { "@type": "Person", "name": "Oxenford, Helen A." } ], "contributor": [ { "@type": "Organization", "name": "Centre for Resource Management and Environmental Studies (CERMES), The University of the West Indies, Cave Hill Campus" } ], "keywords": [ "Fisherfolk", "Sargassum", "Seaweed", "Smart fishing", "Protective clothing", "Fishing boats", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/908", "name": "Collaboration in the Ocean Sciences: best practices and common pitfalls.", "description": " - As collaboration among ocean scientists becomes more necessary and common, those who attempt to plan, organize, and implement joint research projects are discovering that collaboration is more difficult than they first thought. Collaboration is often a trial-and-error methodology that takes time to get right. Ocean scientists can learn from people whose entire careers are built on studying and describing collaboration, its principles and best practices, and what can go wrong. There are books on collaboration, professors of collaboration, and genuine experts on collaboration. This article extracts and distills some of that wisdom on collaboration and puts it into the context of ocean sciences. We need good collaborations in the ocean sciences, and cannot afford\u2014nor should we be satisfied with\u2014homegrown, do-it-yourself efforts when professional and scholarly expertise is available to us. - , - Refereed - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/908", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/908", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/908", "url": "https:\/\/hdl.handle.net\/11329\/908" }, "author": [ { "@type": "Person", "name": "Briscoe, M.G" } ], "keywords": [ "Science collaboration", "Research projects", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2522", "name": "BS EN 17218:2019. Water quality. Guidance on sampling of mesozooplankton from marine and brackish water using mesh.", "description": " - This document specifies procedures for sampling of mesozooplankton using nets and continuous ribbon-sampling devices in marine and brackish waters for the purpose of water quality assessment and determination of ecological status of ecosystems. Guidance on sampling procedures and the subsequent steps of preservation and storage are given. The sampling procedures allow estimates of species occurrence and their abundance (relative or absolute), including spatial distribution and seasonal and long-term temporal trends, for a given body of water. The described methods are restricted to the sampling of mesozooplankton that inhabit marine and brackish waters and exclude the shallow littoral zones which require a different type of sampling (e.g. zooplankton in salt marshes). - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2522", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2522", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2522", "url": "https:\/\/hdl.handle.net\/11329\/2522" }, "contributor": [ { "@type": "Organization", "name": "British Standards Institute (BSI)" } ], "keywords": [ "Sampling methods", "Water quality assessment", "Mesozooplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1796", "name": "Video demonstrating how to set-up, deploy and operate a shallow-water drop camera system. [Training video]", "description": " - Drop cameras are simple frame-deployed systems of various configurations that are designed to take photographic still images or videos of the seafloor. These tools are non-destructive and can go to beyond SCUBA depths, making them ideal for quantifying macrobenthic assemblages along a range of gradients. Different designs are available for operations off of both small and larger research vessels. This training video covers the specifics of how to set-up and operate a light-duty type drop camera off of a small boat for coastal research. - , - Western Indian Ocean Marine Science Association through the Marine and Coastal Science for Management (MASMA) grant - , - Published - , - Current - , - 14.a - , - Invertebrate abundance and distribution (*emerging) - , - Macroalgal canopy cover and composition - , - Organisational - , - Species distributions - , - Species abundances - , - Effective population size - , - Community abundance - , - Interaction diversity - , - Ecosystem disturbances - , - Ecosystem distribution - , - Marine habitats - , - Biological\/ecosystems - , - Cameras - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1796", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1796", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1796", "url": "https:\/\/hdl.handle.net\/11329\/1796" }, "author": [ { "@type": "Person", "name": "Haupt, Tanya" }, { "@type": "Person", "name": "von der meden, Charles" }, { "@type": "Person", "name": "Snyders, Laurenne" }, { "@type": "Person", "name": "van der Heever, Grant" }, { "@type": "Person", "name": "Bernard, Anthony" } ], "contributor": [ { "@type": "Organization", "name": "Octopi Africa (Pty) Ltd and Array Media (Pty) Ltd" } ], "keywords": [ "Environment", "Biological oceanography", "cameras", "underwater cameras", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1621", "name": "A Simple and Inexpensive Method for Manipulating Dissolved Oxygen in the Lab.", "description": " - Changes in dissolved oxygen concentration can cause dramatic shifts in chemical, biological, and ecological processes in aquatic systems. In shallow coastal areas, this can happen on short timescales, with oxygen increasing during the day due to photosynthesis and declining at night due to respiration. We present a system controlled by an Arduino microprocessor that leverages the oxygen-consuming capacity of sediments to manipulate dissolved oxygen in an aquarium tank to planned concentrations. With minor adjustments to the Arduino code, the system can produce a variety of dissolved oxygen patterns, including a diel cycle. Designed to be user-friendly and scalable if needed, the system uses easily acquired, low-cost electronic and aquarium components. Its simplicity and accessibility permit deeper exploration of the effects of dissolved oxygen variability in aquatic systems, and the use of Arduino code and basic electronics makes it a potential tool for teaching experimental design and instrument fabrication. - , - Refereed - , - 14.a - , - Oxygen - , - Pilot or Demonstrated - , - Dissolved oxygen - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1621", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1621", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1621", "url": "https:\/\/hdl.handle.net\/11329\/1621" }, "author": [ { "@type": "Person", "name": "Gadeken, Kara J." }, { "@type": "Person", "name": "Dorgan, Kelly M." } ], "keywords": [ "Arduino microprocessor", "Dissolved gases", "dissolved gas sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/685", "name": "Protocols for Verifying the Performance of Algal Toxin Detection Field Sensors and Kits.", "description": " - The following protocols describe how ACT will verify the environmental performance characteristics of commercial-ready, or prototype, algal toxin detection field kits through the evaluation of objective and quality assured data. Specifically, the evaluation will demonstrate capacity (performance, ease of use, reliability) of new field portable technologies for measuring harmful algal bloom (HAB) toxins and HAB toxin-producing species. ACT will verify range of detection, accuracy, and precision against accepted reference methods, and will help quantify matrix effects or challenges that may affect sensor performance. The goal of this evaluation program is to provide technology users with an independent and credible assessment of instrument performance in a variety of environments. Therefore, the data and information on performance characteristics will cover pertinent information that users need. ACT will not simply verify vendor claims, but instead looks to the broader community to define the data and operational parameters that are valuable in guiding instrument purchase and user decisions. It is important to note that ACT does not certify technologies or guarantee that a technology will always, or under circumstances other than those used in testing, operate at the levels verified. ACT does not seek to determine regulatory compliance; does not rank technologies or compare their performance; does not label or list technologies as acceptable or unacceptable; and does not seek to determine \u201cbest available technology\u201d in any form. ACT will avoid all potential pathways to picking \u201cwinners and losers\u201d. Therefore, although the following protocols will apply to all instruments evaluated, no direct comparisons will be made between instruments from different manufacturers. Also, instrument-specific Verification Statements will be released to the public for each instrument type as a final report. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/685", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/685", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/685", "url": "https:\/\/hdl.handle.net\/11329\/685" }, "author": [ { "@type": "Person", "name": "Johengen, T" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Chemical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2557", "name": "SISP 15 - Manual of the IBTS North Eastern Atlantic Surveys. Version 4.0.", "description": " - This manual was developed through the ICES Working Group of International Pelagic Surveys (WGIPS) as a guide to the methodologies adhered to during the planning, execution and analysis phases of WGIPS coordinated surveys. The group coordinates 29 individual surveys undertaken in the Northeast Atlantic by nine countries (Ireland, Germany, Scotland, UK (England, Scotland, Northern Ireland), Russian Federation, Norway, Netherlands, Faroe Islands, Denmark and Iceland), accounting for 519 at-sea survey days per annum. Combined, the group reports on the distribution and age disaggregated abundance of stocks of herring, blue whiting, mackerel, boarfish, sprat, sardine and anchovy to ICES for assessment purposes from 52\u00b0N to 74\u00b0N and from 30\u00b0E to 18\u00b0W. In addition to biological data from target species, the group also routinely collects data over a range of environmental parameters both biotic and abiotic.The International Bottom Trawl Survey Working Group is an expert group under ICES with the responsibility of coordinating demersal fisheries surveys within large areas of the North Sea and NE Atlantic. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2557", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2557", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2557", "url": "https:\/\/hdl.handle.net\/11329\/2557" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Stock assessment", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2267", "name": "Search for Hydrophilic Marine Fungal Metabolites: a Rational Approach for their Production and Extraction in a Bioactivity Screening Context.", "description": " - In the search for bioactive natural products, our lab screens hydrophobic extracts from marine fungal strains. While hydrophilic active substances were recently identified from marine macro-organisms, there was a lack of reported metabolites in the marine fungi area. As such, we decided to develop a general procedure for screening of hydrophobic metabolites. The aim of this study was to compare different processes of fermentation and extraction, using six representative marine fungal strains, in order to define the optimized method for production. The parameters studied were (a) which polar solvent to select, (b) which fermentation method to choose between solid and liquid cultures, (c) which raw material, the mycelium or its medium, to extract and (d) which extraction process to apply. The biochemical analysis and biological evaluations of obtained extracts led to the conclusion that the culture of marine fungi by agar surface fermentation followed by the separate extraction of the mycelium and its medium by a cryo-crushing and an enzymatic digestion with agarase, respectively, was the best procedure when screening for hydrophilic bioactive metabolites. During this development, several bioactivities were detected, confirming the potential of hydrophilic crude extracts in the search for bioactive natural products. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2267", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2267", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2267", "url": "https:\/\/hdl.handle.net\/11329\/2267" }, "author": [ { "@type": "Person", "name": "Le Ker, Carine" }, { "@type": "Person", "name": "Petit, Karina-Ethel" }, { "@type": "Person", "name": "Biard, Jean-Francois" }, { "@type": "Person", "name": "Fleurence, Joel" } ], "keywords": [ "Agar surface fermentation", "Marine fungi", "Hydrophilic metabolites", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1433", "name": "GO-SHIP Repeat Hydrography Nutrient Manual: The Precise and Accurate Determination of Dissolved Inorganic Nutrients in Seawater, Using Continuous Flow Analysis Methods. [GOOS ENDORSED PRACTICE]", "description": " - The GO-SHIP nutrient manual covers all aspects of nutrient analysis from basic samplecollection and storage, specifically for Continuous Flow analysis using an Auto-Analyzer,and describes some specific nutrient methods for Nitrate, Nitrite, Silicate, Phosphateand Ammonium that are in use by many laboratories carrying out at-sea analysisand repeat hydrography sections across the world. The focus is on segmented flowanalyzers not flow injection analyzers. It also covers laboratory best practices includingquality control and quality assurance (QC\/QA) procedures to obtain the best results,and suggests protocols for the use of reference materials (RM) and certified referencematerials (CRMs). - , - Refereed - , - FRENCH === Le manuel des nutriments GO-SHIP couvre tous les aspects de l'analyse des nutriments depuis la collecte et le stockage des \u00e9chantillons de base, en particulier pour l'analyse en flux continu \u00e0 l'aide d'un analyseur automatique, et d\u00e9crit certaines m\u00e9thodes de nutriments sp\u00e9cifiques pour le nitrate, le nitrite, le silicate, le phosphate et l'ammonium qui sont utilis\u00e9s par de nombreux laboratoires r\u00e9alisant des analyses en mer et r\u00e9p\u00e9tant des sections hydrographiques \u00e0 travers le monde. L'accent est mis sur les analyseurs de d\u00e9bit segment\u00e9s et non sur les analyseurs d'injection de d\u00e9bit. Il couvre \u00e9galement les meilleures pratiques de laboratoire, y compris les proc\u00e9dures de contr\u00f4le qualit\u00e9 et d'assurance qualit\u00e9 (CQ\/AQ) pour obtenir les meilleurs r\u00e9sultats, et sugg\u00e8re des protocoles pour l'utilisation de mat\u00e9riaux de r\u00e9f\u00e9rence (MR) et de mat\u00e9riaux de r\u00e9f\u00e9rence certifi\u00e9s (CRM) - , - GERMAN === Das GO-SHIP-N\u00e4hrstoffhandbuch deckt alle Aspekte der N\u00e4hrstoffanalyse ab, von der grundlegenden Probenentnahme und Lagerung, insbesondere f\u00fcr die kontinuierliche Durchflussanalyse mit einem automatischen Analyseger\u00e4t, und beschreibt einige spezifische N\u00e4hrstoffmethoden f\u00fcr Nitrat, Nitrit, Silikat, Phosphat und Ammonium, die von vielen verwendet werden Laboratorien, die Analysen auf See durchf\u00fchren und Hydrographieabschnitte auf der ganzen Welt wiederholen. Der Schwerpunkt liegt auf segmentierten Durchflussanalysatoren und nicht auf Durchflussinjektionsanalysatoren. Es deckt au\u00dferdem bew\u00e4hrte Laborpraktiken ab, einschlie\u00dflich Verfahren zur Qualit\u00e4tskontrolle und Qualit\u00e4tssicherung (QC\/QA), um die besten Ergebnisse zu erzielen, und schl\u00e4gt Protokolle f\u00fcr die Verwendung von Referenzmaterialien (RM) und zertifizierten Referenzmaterialien (CRMs) vor. - , - PORTUGUESE === O manual de nutrientes GO-SHIP abrange todos os aspectos da an\u00e1lise de nutrientes desde a coleta e armazenamento b\u00e1sicos de amostras, especificamente para an\u00e1lise de fluxo cont\u00ednuo usando um analisador autom\u00e1tico, e descreve alguns m\u00e9todos de nutrientes espec\u00edficos para Nitrato, Nitrito, Silicato, Fosfato e Am\u00f4nio que est\u00e3o em uso por muitos laborat\u00f3rios que realizam an\u00e1lises no mar e se\u00e7\u00f5es repetidas de hidrografia em todo o mundo. O foco est\u00e1 em analisadores de fluxo segmentados e n\u00e3o em analisadores de inje\u00e7\u00e3o de fluxo. Ele tamb\u00e9m abrange as melhores pr\u00e1ticas de laborat\u00f3rio, incluindo procedimentos de controle de qualidade e garantia de qualidade (QC\/QA) para obter os melhores resultados e sugere protocolos para o uso de materiais de refer\u00eancia (RM) e materiais de refer\u00eancia certificados (CRMs) - , - PORTUGUESE === O manual de nutrientes GO-SHIP abrange todos os aspectos da an\u00e1lise de nutrientes desde a coleta e armazenamento b\u00e1sicos de amostras, especificamente para an\u00e1lise de fluxo cont\u00ednuo usando um analisador autom\u00e1tico, e descreve alguns m\u00e9todos de nutrientes espec\u00edficos para Nitrato, Nitrito, Silicato, Fosfato e Am\u00f4nio que est\u00e3o em uso por muitos laborat\u00f3rios que realizam an\u00e1lises no mar e se\u00e7\u00f5es repetidas de hidrografia em todo o mundo. O foco est\u00e1 em analisadores de fluxo segmentados e n\u00e3o em analisadores de inje\u00e7\u00e3o de fluxo. Ele tamb\u00e9m abrange as melhores pr\u00e1ticas de laborat\u00f3rio, incluindo procedimentos de controle de qualidade e garantia de qualidade (QC\/QA) para obter os melhores resultados e sugere protocolos para o uso de materiais de refer\u00eancia (RM) e materiais de refer\u00eancia certificados (CRMs) - , - SPANISH === El manual de nutrientes GO-SHIP cubre todos los aspectos del an\u00e1lisis de nutrientes desde la recolecci\u00f3n y el almacenamiento b\u00e1sico de muestras, espec\u00edficamente para el an\u00e1lisis de flujo continuo usando un analizador autom\u00e1tico, y describe algunos m\u00e9todos de nutrientes espec\u00edficos para nitrato, nitrito, silicato, fosfato y amonio que est\u00e1n en uso por muchos laboratorios que realizan an\u00e1lisis en el mar y repiten secciones de hidrograf\u00eda en todo el mundo. La atenci\u00f3n se centra en los analizadores de flujo segmentados, no en los analizadores de inyecci\u00f3n de flujo. Tambi\u00e9n cubre las mejores pr\u00e1cticas de laboratorio, incluidos los procedimientos de control y garant\u00eda de calidad (QC\/QA) para obtener los mejores resultados, y sugiere protocolos para el uso de materiales de referencia (RM) y materiales de referencia certificados (CRM). - , - SPANISH === El manual de nutrientes GO-SHIP cubre todos los aspectos del an\u00e1lisis de nutrientes desde la recolecci\u00f3n y el almacenamiento b\u00e1sico de muestras, espec\u00edficamente para el an\u00e1lisis de flujo continuo usando un analizador autom\u00e1tico, y describe algunos m\u00e9todos de nutrientes espec\u00edficos para nitrato, nitrito, silicato, fosfato y amonio que est\u00e1n en uso por muchos laboratorios que realizan an\u00e1lisis en el mar y repiten secciones de hidrograf\u00eda en todo el mundo. La atenci\u00f3n se centra en los analizadores de flujo segmentados, no en los analizadores de inyecci\u00f3n de flujo. Tambi\u00e9n cubre las mejores pr\u00e1cticas de laboratorio, incluidos los procedimientos de control y garant\u00eda de calidad (QC\/QA) para obtener los mejores resultados, y sugiere protocolos para el uso de materiales de referencia (RM) y materiales de referencia certificados (CRM). - , - 14.1 - , - Nutrients - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - , - 2020-07-09 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1433", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1433", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1433", "url": "https:\/\/hdl.handle.net\/11329\/1433" }, "author": [ { "@type": "Person", "name": "Becker, Susan" }, { "@type": "Person", "name": "Aoyama, Michio" }, { "@type": "Person", "name": "Woodward, E. Malcolm S" }, { "@type": "Person", "name": "Bakker, Karel" }, { "@type": "Person", "name": "Coverly, Stephen" }, { "@type": "Person", "name": "Mahaffey, Claire" }, { "@type": "Person", "name": "Tanhua, Toste" } ], "keywords": [ "Best practices", "GO-SHIP", "Methodology", "Reference materials", "Hydrography and tracers", "Continuous flow analysis methods", "GOOS Endorsed Practice", "Nitrite", "Nitrate", "Silicate", "Ammonium", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers", "Instrument Type Vocabulary::continuous water samplers", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1069", "name": "OGC\u00ae Web Feature Service 2.0 Interface Standard \u2013 With Corrigendum, Version 2.0.2.", "description": " - The Web Feature Service (WFS) represents a change in the way geographic information is created, modified and exchanged on the Internet. Rather than sharing geographic information at the file level using File Transfer Protocol (FTP), for example, the WFS offers direct fine-grained access to geographic information at the feature and feature property level. This International Standard specifies discovery operations, query operations, locking operations, transaction operations and operations to manage stored, parameterized query expressions. Discovery operations allow the service to be interrogated to determine its capabilities and to retrieve the application schema that defines the feature types that the service offers. Query operations allow features or values of feature properties to be retrieved from the underlying data store based upon constraints, defined by the client, on feature properties. Locking operations allow exclusive access to features for the purpose of modifying or deleting features. Transaction operations allow features to be created, changed, replaced and deleted from the underlying data store. Stored query operations allow clients to create, drop, list and described parameterized query expressions that are stored by the server and can be repeatedly invoked using different parameter values. This International Standard defines eleven operations: GetCapabilities (discovery operation) DescribeFeatureType (discovery operation) GetPropertyValue (query operation) GetFeature (query operation) GetFeatureWithLock (query & locking operation) LockFeature (locking operation) Transaction (transaction operation) CreateStoredQuery (stored query operation) DropStoredQuery (stored query operation) ListStoredQueries (stored query operation) DescribeStoredQueries (stored query operation) In the taxonomy of services defined in ISO 19119, the WFS is primarily a feature access service but also includes elements of a feature type service, a coordinate conversion\/transformation service and geographic format conversion service. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1069", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1069", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1069", "url": "https:\/\/hdl.handle.net\/11329\/1069" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2305", "name": "Guidelines for monitoring seabirds at sea.", "description": " - The efforts of HELCOM to conserve the Baltic Sea environment are aggregated in its Baltic Sea Action Plan. Measures to guarantee the environmental integrity of the Baltic Sea need to be backed by science-based environmental data. To get this information, HELCOM is conducting holistic assessments, which include various components of the Baltic Sea ecosystem. Seabirds (marine birds including coastal waterbirds) are substantial components at various levels of the food web and serve as herbivores of littoral vegetation and predators of macroinvertebrates, fish, other birds, carcasses and fishery discard in the Baltic marine environment. While breeding seabirds are concentrated along and around their breeding sites at the coast or on islands, non-breeding seabirds are distributed across the entire marine area of the Baltic Sea. In the second holistic assessment of the Baltic Sea (HOLAS II), the abundance of wintering seabirds was assessed by the HELCOM Core Indicator \u201cAbundance of waterbirds in the wintering season\u201d (HELCOM 2018). In HOLAS II, the assessment of wintering seabirds relied on coastal (land-based) counts only, thus any conclusions were restricted to the coastal waters. In order to expand the validity of the indicator to the entire marine area of the Baltic Sea, the indicator needs to include assessments of birds wintering off the coast. This expansion needs surveys and monitoring at sea, and these guidelines describe the designing and methodology of such surveys. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2305", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2305", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2305", "url": "https:\/\/hdl.handle.net\/11329\/2305" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Seabirds", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2136", "name": "Traditional Fishing Gears and Methods of the Bodo Tribes of Kokrajhar, Assam.", "description": " - Fish and fishery are an important part of the culture and tradition of many tribal communities of North East India including the Bodo tribes of Assam. The Bodos use varieties of unique traditional fishing gears and methods for fishing. Understanding and documenting such traditional knowledge systems are important to prevent them from vanishing with time. This paper aims to study and document the traditional fishing gears of Bodo tribes and their methods of operation. The study was conducted in six villages of Kokrajhar district, Assam, India from April 2021 to March 2022 through surveys including semi-structured questionnaires and personal interviews. Altogether 135 respondents participated in the study and 35 different fishing gears were recorded including the ones, which were previously not reported. They were categorized into impaling gears, hook & lines, and traps and pots. The natural resources and fish diversity were seen to influence the structure and design of gears in the study. The popularity and usage of some of the gears like Sahera, Baga, Borom Je and Dura Je were found declining, which may be attributed to increasing popularity of destructive fishing techniques like electric fishing, blast fishing and poisoning. This study will help in proper recognition, documentation and preservation of rich traditional knowledge on traditional fishing gears and methods of the region. - , - Refereed - , - 14.a - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2136", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2136", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2136", "url": "https:\/\/hdl.handle.net\/11329\/2136" }, "author": [ { "@type": "Person", "name": "Basumatary, Nelson" }, { "@type": "Person", "name": "Khangembam, Bronson Kumar" } ], "keywords": [ "Fishing Gear", "Traditional knowledge", "Indigenous knowledge", "Bodo", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2291", "name": "A benthic substrate classification method for seabed images using deep learning: Application to management of deep-sea coral reefs.", "description": " - Protecting deep-sea coral-based vulnerable marine ecosystems (VMEs) from human impacts, particularly bottom trawling, is a major conservation challenge in world oceans. Management processes for these ecosystems are weakened by key uncertainties that could be substantially addressed by having much greater volumes of quantitative image-derived data that detail the distribution and abundance of coral reefs and the nature of impacts upon them. Considerably greater volumes of data could be available if the resource costs of image annotation are reduced. In this paper we propose a solution: a deep learning system capable of automatically identifying reef-building stony corals amongst other seabed substrata in much larger volumes of seabed imagery than was previously possible. Using a previously annotated dataset, we trained a convolutional neural network on approximately 70,000 classified images (\u2018snips\u2019) comprising six benthic substrate classes, including reef-building stony coral\u2014\u2018coral matrix\u2019. Model performance improvements, chiefly by dataset cleaning, transfer learning and hyperparameter optimisation, resulted in the final trained model achieving validation accuracy of 98.19%. The classification was robust: benthic substrate types were accurately differentiated, and in some cases more consistently than was achieved by human annotators. Synthesis and applications. The availability of much larger volumes of automatically annotated image-derived data will improve spatial management of impacts on coral-based VMEs in the deep sea by (1) improved cross-validation and performance of spatial models required to predict coral distribution and abundance over the large scales of managed areas, and (2) establishing empirical relationships between coral abundance on the seabed and coral bycatch landed during fishing operations. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2291", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2291", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2291", "url": "https:\/\/hdl.handle.net\/11329\/2291" }, "author": [ { "@type": "Person", "name": "Jackett, Christopher" }, { "@type": "Person", "name": "Althaus, Franziska" }, { "@type": "Person", "name": "Maguire, Kylie" }, { "@type": "Person", "name": "Farazi, Moshiur" }, { "@type": "Person", "name": "Scoulding, Ben" }, { "@type": "Person", "name": "Untiedt, Candice" }, { "@type": "Person", "name": "Ryan, Tim" }, { "@type": "Person", "name": "Shanks, Peter" }, { "@type": "Person", "name": "Brodie, Pamela" }, { "@type": "Person", "name": "Williams, Alan" } ], "keywords": [ "Benthic substrate", "Deep learning", "Underwater image analysis", "Coral matrix", "Machine learning", "Solenosmilia variabilis", "Vulnerable marine ecosystems", "Other biological measurements", "Underwater photography", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2111.2", "name": "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual. Version 1.1.", "description": " - This technical manual guides the user through the detailed process of creating a standardized data table for the submission of taxonomic and morphological information collected by flow cytometry to long-term data repositories. Guidance is provided to produce documentation that describes data collection and processing techniques and outlines the creation of a data file. Field names that are required include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here also includes the field names volume_analyzed_ul, measurementValue, measurementValueID and abun. The field names measurementValue and measurementValueID are recommended terms developed by NERC to describe morphological properties of cells. Data producers are required to submit their source data (.fcs files) as bundles and may optionally submit data plots as image files. Following these steps for standardization will help optimize the interoperability and reuse of these important data sets. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Organisational - , - Species distributions - , - Species abundances - , - community abundance - , - Morphology - , - Phytoplankton - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2111.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2111.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2111.2", "url": "https:\/\/hdl.handle.net\/11329\/2111.2" }, "author": [ { "@type": "Person", "name": "Neeley, Aimee" }, { "@type": "Person", "name": "Soto, Inia" }, { "@type": "Person", "name": "Proctor, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "NASA Goddard Space Flight Center" } ], "keywords": [ "Biological oceanography", "Phytoplankton", "flow cytometers", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/524", "name": "Mission Requirements for Future Ocean-Colour Sensors.", "description": " - With the proliferation of complex and sophisticated ocean colour sensors now on orbit or planned for launch, this report seeks to establish the minimum basic radiometric and sensor requirements for global observations of the ocean\u2019s chemistry and biology from space. The report requirements recognize not only the evolution of oceanographic and Earth system science questions and multi-decadal scientific discoveries since the CZCS era, but also the value of a continuous time series of global, climate quality, ocean colour data to support a virtual constellation of ocean colour sensors and enable large-scale oceanographic research. These data support the estimation of dozens of biological, chemical, biogeochemical, and ecological properties of the ocean critical to understand the Earth and the ocean\u2019s role in the Earth system and manage its resources. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: Yu-Hwan Ahn, Paula Bontempi, Steven Delwart, Bertrand Fougnie, Charles McClain, Gerhard Meister, Hiroshi Murakami and Menghua Wang - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/524", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/524", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/524", "url": "https:\/\/hdl.handle.net\/11329\/524" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/950", "name": "Quanti-iT\u2122 Pico Green dsDNA Assay (Invitrogen P7589).", "description": " - This protocol accompanies the following publication: Ul-Hasan S, Bowers RM, Figueroa-Montiel A, Licea-Navarro AF, Beman JM, Woyke T, et al. (2019) Community ecology across bacteria, archaea and microbial eukaryotes in the sediment and seawater of coastal Puerto Nuevo, Baja California. PLoS ONE 14(2): e0212355. https:\/\/doi.org\/10.1371\/journal.pone.0212355 - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/950", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/950", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/950", "url": "https:\/\/hdl.handle.net\/11329\/950" }, "author": [ { "@type": "Person", "name": "Poulos, Bonnie" } ], "contributor": [ { "@type": "Organization", "name": "Matthew Sullivan Lab, University of Arizona\/Ohio State University" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1696", "name": "Guidance notes for the production of discovery metadata for the Marine Environmental Data and Information Network (MEDIN) Version 3.1.", "description": " - Metadata standards are essential to enable easy discovery, evaluation and use of resources. In most cases within MEDIN the resource will be a dataset, however model outputs and services such as web mapping services and data download services are also included. Different sorts of standards are applied for discovering a dataset, service or series (collectively known as resources), evaluating its fitness for purpose and in providing the information required to use it. This standard is one that sets out a specific format to record details of a resource so that in the future other people can easily discover resources that may be of use to them. It is therefore termed a 'metadata discovery standard' and this document sets out the format used by the Marine Environmental Data Information Network (MEDIN). All metadata released via the MEDIN portal must comply with a number of international and national metadata standards. The MEDIN metadata schema is based on the ISO 19115:2003 standard, and includes all core INSPIRE metadata elements. It also complies with the UK GEMINI 2.3 metadata standard. The xml produced conforms to the ISO 19139 standard for xml implementation. This document is designed to assist those creating metadata for MEDIN and provides guidance on how to complete each element. Please refer to the INSPIRE metadata implementing rules, http:\/\/inspire.jrc.ec.europa.eu\/ rules and UK GEMINI 2.3 specification https:\/\/www.agi.org.uk\/gemini\/40-gemini\/1037-uk-gemini-standard-and-inspireimplementing-rules for additional information. In writing this document reference has been made to the Technical Guidance for the implementation of INSPIRE dataset and service metadata based on ISO\/TS 19139:2007 (see guidelines at http:\/\/inspire.ec.europa.eu\/document-tags\/metadata). - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1696", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1696", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1696", "url": "https:\/\/hdl.handle.net\/11329\/1696" }, "author": [ { "@type": "Person", "name": "Seeley, Becky" }, { "@type": "Person", "name": "Rapaport, James" }, { "@type": "Person", "name": "Merritt, Olivia" }, { "@type": "Person", "name": "Charlesworth, Mark" }, { "@type": "Person", "name": "Gaffney, Sean" } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Discovery Metadata", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/333", "name": "International Tsunameter Partnership of Data Buoy Cooperation Panel Tsunameter Equipment Performance Standards and Guidelines.", "description": " - This document sets out functional, performance and other operational characteristics for deep ocean tsunami detection stations that will meet the requirements of local, regional and ocean-wide tsunami warning systems. Compliance with these guidelines and with their related quality assurance processes will enable warning centres, equipment purchasers, operators and non-warning-centre data users to have confidence in a tsunameter\u2019s performance, data quality and interoperability, regardless of the specific equipment\u2019s design or source of supply - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/333", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/333", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/333", "url": "https:\/\/hdl.handle.net\/11329\/333" }, "contributor": [ { "@type": "Organization", "name": "JCOMM Data Buoy Cooperation Panel" } ], "keywords": [ "Tsunameter", "Tsunami warning system", "Guidelines", "Ocean bottom pressure sensors", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Marine geology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1261", "name": "Arctic Marine Biodiversity Monitoring Plan (CBMP-MARINE PLAN).", "description": " - Arctic biodiversity is under growing pressure from both climate change and resource development, requiring both managers and users to have access to more complete information to help them make timely and informed conservation and adaptation decisions. Yet existing monitoring programs remain largely uncoordinated, limiting our ability to efectively monitor, understand and respond to biodiversity trends at the circumpolar scale. The maintenance of healthy Arctic ecosystems is a global imperative as the Arctic plays a critical role in the Earth\u2019s physical, chemical and biological balance. Maintaining the health of Arctic ecosystems is also of fundamental economic, cultural and spiritual importance to Arctic residents, many of whom maintain close ties to the land and sea. The Arctic\u2019s size and complexity represents a signiicant challenge towards detecting and attributing changes in biodiversity. This demands an integrated, pan-Arctic, ecosystem-based approach that can efectively identify important trends in biodiversity and identify their underlying causes. To meet these challenges, CAFF\u2019s Circumpolar Biodiversity Monitoring Program (CBMP) is working with partners across the Arctic to harmonize and enhance long-term Arctic biodiversity monitoring in order to facilitate more rapid detection, communication and response to signiicant trends and pressures. Towards this end, the CBMP is developing four, ecosystem-based Arctic biodiversity monitoring plans (Marine, Terrestrial, Freshwater and Coastal). These umbrella monitoring plans work with existing monitoring capacity to facilitate improved and cost-efective monitoring through enhanced integration and coordination. The Arctic Marine Biodiversity Monitoring Plan (CBMP-Marine Plan) is the irst of the CBMP\u2019s four pan-Arctic biodiversity monitoring plans. The overall goal of the CBMP-Marine Plan is to improve our ability to detect and understand the causes of long-term change in the composition, structure and function of Arctic marine ecosystems, as well as to develop authoritative assessments of key elements of Arctic marine biodiversity (e.g., key indicators, ecologically pivotal and\/or other important taxa). The CBMP-Marine Plan integrates existing marine biodiversity monitoring eforts (both traditional scientiic and communitybased) from across the Arctic and represents an agreement between six Arctic coastal nations and a great number of national, regional, Indigenous and academic organizations and agencies in all six countries on how to monitor Arctic marine ecosystems. More speciically, the Plan identiies agreement on the following: \u25ba A suite of common biological parameters and indicators to monitor and report on change across Arctic marine ecosystems; \u25ba Key abiotic parameters, relevant to marine biodiversity, which should be monitored; \u25ba Optimal sampling schemes (e.g., where, when and how the suite of parameters should be measured and by whom); and, \u25ba Arctic Marine Areas, by which monitoring results will be organized and reported. ARCTIC MARINE BIODIVERSITY 5 MONITORING PLAN The Plan also begins to identify: \u25ba Priority gaps (taxa, spatial, and\/or temporal) in monitoring coverage; and, \u25ba Existing datasets and information that can be aggregated to map biodiversity and to establish baselines and retrospective trends in Arctic marine biodiversity. The creation of the Marine Expert Networks will further the work of identifying priority gaps, identifying existing datasets for aggregation and further reining the suite of biological indicators that will be used to report on the state and function of Arctic marine ecosystems. The Plan also details the outputs of this efort, or more speciically, how the biological information will be managed, integrated, analyzed and reported on with a focus on: \u25ba Producing long-term datasets that can facilitate a greater understanding of natural variability in Arctic marine ecosystems and the response of these systems to anthropogenic drivers. \u25ba Creating a publicly accessible, eicient, and transparent platform to house and manage information on the status of and trends in Arctic marine biodiversity to facilitate more efective policy responses. \u25ba Providing regular and authoritative assessments of key elements and regions of the Arctic marine system that respond to regional, national, and international reporting requirements. Finally, Plan implementation timelines and costs over the next 10 years are detailed to ensure appropriate resourcing for this coordinated efort. Implementation of this coordinated Plan will result in improved capacity to detect, attribute and report on biodiversity change in the Arctic marine environment, at a lower cost than multiple, uncoordinated approaches. - , - Published - , - Refereed - , - Current - , - 14 - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Sea ice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1261", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1261", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1261", "url": "https:\/\/hdl.handle.net\/11329\/1261" }, "author": [ { "@type": "Person", "name": "Gill, M.J." }, { "@type": "Person", "name": "Crane, K." }, { "@type": "Person", "name": "Hindrum, R." }, { "@type": "Person", "name": "Arneberg, P." }, { "@type": "Person", "name": "Bysveen, I." }, { "@type": "Person", "name": "Denisenko, N.V." }, { "@type": "Person", "name": "Gofman, V." }, { "@type": "Person", "name": "Grant-Friedman, A." }, { "@type": "Person", "name": "Gudmundsson, G." }, { "@type": "Person", "name": "Hopcroft, R.R." }, { "@type": "Person", "name": "Iken, K." }, { "@type": "Person", "name": "Labansen, A." }, { "@type": "Person", "name": "Liubina, O.S." }, { "@type": "Person", "name": "Melnikov, I.A." }, { "@type": "Person", "name": "Moore, S.E." }, { "@type": "Person", "name": "Reist, J.D." }, { "@type": "Person", "name": "Sirenko, B.I." }, { "@type": "Person", "name": "Stow, J." }, { "@type": "Person", "name": "Ugarte, F." }, { "@type": "Person", "name": "Vongraven, D." }, { "@type": "Person", "name": "Watkins, J." } ], "contributor": [ { "@type": "Organization", "name": "CAFF International Secretariat" } ], "keywords": [ "Marine biodiversity", "Ecosystem-based management", "Biological sampling", "Marine Expert Monitoring Group. Circumpolar Biodiversity Monitoring Program", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Biological oceanography::Zooplankton", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1898", "name": "Measuring Salinity and Density of Seawater Samples with Different Salt Compositions and Suspended Materials.", "description": " - Determining the solute mass amount in seawater using in situ measurements in seas and oceans is currently an unresolved problem. To solve it, it is necessary to develop both new methods and instruments for measurements. The authors of this article analyzed methods for the indirect measurement of salinity and density using parameters that can be measured in situ, including relative electrical conductivity, speed of sound, temperature, and hydrostatic pressure. The authors propose an electric conductivity sensor design that allows for the obtainment of data on solid suspensions along with measuring the impedance of electrodes under various the alternating current frequencies. The authors analyzed the joint measurement technique using the Conductivity-Temperature-Depth (CTD) and Sound Velocity Profiler (SVP) devices in a marine testing area. Based on the results of joint measurements, the authors present tests of water samples of various salt compositions for the presence of solid suspensions. - , - Refereed - , - N\/A - , - Sea Surface Salinity - , - Pilot or demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1898", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1898", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1898", "url": "https:\/\/hdl.handle.net\/11329\/1898" }, "author": [ { "@type": "Person", "name": "Grekov, Aleksandr N." }, { "@type": "Person", "name": "Grekov, Nikolay A." }, { "@type": "Person", "name": "Sychov, Evgeniy N." } ], "keywords": [ "Electrode impedance", "Conductivity sensor", "Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/750", "name": "Performance Verification Statement For the Xylem EXO 2 pH Sensor", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al. (2011). A total of 263 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the Xylem EXO 2 pH sensor which measures pH using a glass bulb electrode and KCl reference electrode. For most tests two pH sensors were included on the sonde and results are presented separately for each. The EXO-pH1 operated continuously throughout the entire lab test and generated 6286 pH measurements at 15 minute intervals. The total range of pH measured by the EXO-pH1 was 7.04 to 8.50, compared to the range of our reference pH of 6.943 to 8.502. The EXO-pH1 measurements tracked changing pH conditions among all water sources and temperature ranges, and consistently responded to the rapid pH shifts from acid\/base additions. The average difference between the EXO-pH1 and reference pH was 0.05 \u00b10.09 (N=266), with a total range of -0.31 to 0.19. Initial instrument measurements conducted with the second seawater trial on the tenth week exhibited a slightly higher offset (mean difference = 0.17 \u00b10.004; N=7) compared to measurements from the first week (mean difference = 0.10 \u00b1 0.004; N=28) The EXO-pH2 also operated continuously throughout the entire lab test and generated 6286 pH measurements at 15 minute intervals. The total range of pH measured by the EXO-pH2 was nearly identical at 7.03 to 8.49, and again in close agreement with the range of the reference pH of 6.943 to 8.502. The EXO-pH2 measurements tracked reference pH similarly among all water sources and temperature ranges, and consistently responded to the rapid pH shifts from acid\/base additions. The average difference between the EXO-pH2 and reference pH was 0.04 \u00b10.10 (N=266), with a total range of -0.31 to 0.19. Initial instrument measurements conducted with the second seawater trial on the tenth week exhibited a slightly higher offset (mean difference = 0.17 \u00b10.003; N=7) compared to measurements from the first week (mean difference = 0.08 \u00b1 0.007; N=28) At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6 oC and 33. The measured ambient pH range from our 84 discrete reference samples was 7.933 \u2013 8.077. The EXO sonde deployed for this field test contained two pH probes and both operated continuously over the 28 days of the deployment and each generated 2575 observations at 15 minute intervals. The range in ambient pH measured by the EXO-pH1 was 7.96 to 8.27 and for the EXO-pH2 was 8.10 to 8.48. The average and standard deviation of the difference between EXO-pH1 and reference pH over the total deployment was 0.13 \u00b1 0.04 with a total range of -0.01 to 0.23. The average and standard deviation of the difference between EXO-pH2 and reference pH over the total deployment was 0.29 \u00b1 0.04 with a total range of 0.15 to 0.41. At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5 oC and 34.4. The measured ambient pH range from our 101 discrete reference samples was 7.814 \u2013 8.084. The sonde (which contained two pH sensors) operated for the first 16 days, but by November 30th the battery voltage had dropped to 4.7 volts and the sonde stopped measuring. Both probes recorded 1445 observations measured at 15 minute intervals during the first 16 days of operation. Ambient pH measured by the EXO-pH1 ranged from 7.90 to 8.33 and for the EXO-pH2 from 7.79 to 8.22. The average and standard deviation of the difference between EXO-pH1 and reference pH over the total deployment was 0.20 \u00b1 0.02 (N=29), with a total range of 0.17 to 0.23. The average and standard deviation of the difference between EXO-pH2 and reference pH over the total deployment was 0.08 \u00b1 0.05 (N=29), with a total range of -0.03 to 0.14. At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9 oC and 12.8. The measured pH range from our 107 discrete reference samples was 8.024 \u2013 8.403. Only one pH sensor was deployed on the EXO sonde for this deployment. The EXO operated successfully over the entire 30 day deployment and generated 2759 pH measurements at 15 minute intervals. Ambient pH measured by the EXO ranged from 8.14 to 8.52. The average and standard deviation of the measurement difference between the EXO and reference pH was 0.16 \u00b10.04 (N=107), with the total range of differences from 0.05 to 0.27. At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2 oC and 0.03. The measured ambient pH range from our 98 discrete reference samples was 8.013 to 8.526. The EXO sonde (which contained two pH probes) operated continuously over the 29 days of the deployment and each probe generated 2661 pH measurements at 15 minute intervals. The range in ambient pH measured by the EXOpH1 was 7.84 to 8.60 compared to 7.88 to 8.61 for the EXO-pH2. The average and standard deviation of the difference between EXO-pH1 and reference pH over the total deployment was 0.06 \u00b1 0.05 (N=98), with a total range of -0.22 to 0.04. The average and standard deviation of the difference between EXO-pH2 and reference pH over the total deployment was -0.02 \u00b1 0.04 (N=98), with a total range of -0.17 to 0.05. A comparison of the EXO pH versus reference pH across all sites indicated that the response for the HI and CBL field tests consistently tracked ambient pH with a noted offset of approximately 0.13 pH units that represented the expected difference from the NBS buffer calibrated sonde versus the pHtotal scale measured with the dye reference. In contrast, the freshwater Great Lakes test showed the expected 1:1 relationship. There was no obvious reason for the much greater offsets observed during the Moss Landing field test. Lastly, it is worth emphasizing that the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. Continuous in situ monitoring technologies, such as the EXO, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/750", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/750", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/750", "url": "https:\/\/hdl.handle.net\/11329\/750" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2465", "name": "SeagrassNet Manual for Scientific Monitoring of Seagrass Habitat, Worldwide edition.", "description": " - SeagrassNet is a scientific global monitoring program based at the University of New Hampshire that investigates and documents the status of seagrass resources worldwide and the threats to this important and imperilled marine ecosystem. The program started in 2001 in the Western Pacific and now includes many sites throughout the world; a global monitoring protocol and web-based data reporting system have been established. Our ultimate aim is to preserve the seagrass ecosystem by increasing scientific knowledge and public awareness of this threatened coastal resource. SeagrassNet teams composed of scientists and managers from participating countries conduct synchronous quarterly sampling of selected plant and environmental parameters to determine seagrass habitat status and trends. A lack of information exists on the status and health of seagrasses worldwide, particularly in less economically developed regions. SeagrassNet's efforts to monitor known seagrass areas and to reconnoiter uncharted seagrasses are important first steps in understanding and sustaining the seagrass resource. Across the globe, SeagrassNet is collecting information with the goal of elevating interest and awareness in seagrasses and providing a \"global report card\" on the health of the valuable seagrass coastal habitat. - , - David and Lucile Packard Foundation, the Oak Foundation, the New Hampshire Charitable Foundation and Tom Haas, and the University of New Hampshire. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Seagrass cover and composition - , - Mature - , - Organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2465", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2465", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2465", "url": "https:\/\/hdl.handle.net\/11329\/2465" }, "author": [ { "@type": "Person", "name": "Short, F.T." }, { "@type": "Person", "name": "Coles, R. G." }, { "@type": "Person", "name": "Short, C. A." } ], "contributor": [ { "@type": "Organization", "name": "University of New Hampshire, SeagrassNet" } ], "keywords": [ "Seagrass monitoring", "Citizen Science", "Macroalgae and seagrass", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/828", "name": "Quality Assurance of Real-Time Oceanographic Data QARTOD IV \u2013 Final Report Fourth Workshop on the QC\/QA of Real-Time Data.", "description": " - QARTOD is a continuing multi-agency effort formed to address the quality assurance and quality control issues of the Integrated Ocean Observing System (IOOS) community. The first workshop was held at the NOAA NDBC office in Bay St. Louis, MS in the winter of 2003. Over 80 participants attended with the primary task of developing minimum standards for calibration, quality assurance (QA) and quality control (QC) methods, and metadata. The workshop resulted in a report that summarized the recommendations on these issues and on future workshops. QARTOD II (second workshop) was held February 28-March 2, 2005 in Norfolk, VA, and focused on QA\/QC issues in HF radar measurements and wave and current measurements\u2019 unique calibration and metadata requirements. QARTOD III was held on November 2-4, 2005 at the Scripps Institution of Oceanography, La Jolla, CA. It continued the work on waves and current measurements, as well as commencing work on CTD measurements and HF Radar. QARTOD IV was held at the Woods Hole Oceanographic Institution, June 21 - 23, 2006. QARTOD addresses the challenges related to the collection, distribution and description of real-time oceanographic data. One of the primary challenges facing the oceanographic community will be the fast and accurate assessment of the quality of data streaming from the IOOS partner systems. Operational data aggregation and assembly from distributed data sources will be essential to the ability to adequately describe and predict the physical, chemical and biological state of the coastal ocean. These activities demand a trustworthy and consistent quality description for every observation distributed as part of IOOS. Significant progress was accomplished in previous workshops towards the definition of requirements both for data evaluation and relevant data flags for real-time QC. The intent of QARTOD IV was to report on the recommended quality (QC) descriptions for parameters such as waves and currents and to develop guides for best practices to assure data quality. - , - NOAA, Cooperative Agreement No. NA17RJ1223 sub-point 39 Oceans.US WHOI CICOR - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/828", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/828", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/828", "url": "https:\/\/hdl.handle.net\/11329\/828" }, "contributor": [ { "@type": "Organization", "name": "Woods Hole Oceanographic Institution" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1010", "name": "OGC InfraGML 1.0: Part 6 \u2013 LandInfra Survey - Encoding Standard. Version 1.0.", "description": " - encoding of concepts supporting land and civil engineering infrastructure facilities specified in the OGC Land and Infrastructure Conceptual Model Standard (LandInfra), OGC 15-111r1. Conceptual model subject areas include land features, facilities, projects, alignment, road, railway, survey (including equipment, observations, and survey results), land division, and condominiums. InfraGML is published as a multi-part standard. This Part 6 addresses the Survey, Equipment, Observations and Survey Results Requirements Classes from LandInfra. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1010", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1010", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1010", "url": "https:\/\/hdl.handle.net\/11329\/1010" }, "author": [ { "@type": "Person", "name": "Gruler, Hans-Christoph" } ], "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1179", "name": "The Contribution of Citizen Scientists to the Monitoring of Marine Litter.", "description": " - Citizen science projects are based on volunteer participation of untrained citizens who contribute information, data and samples to scientific studies. Herein we provide an overview of marine litter studies that have been supported by citizen scientists (n = 40) and compare these studies with selected studies conducted by professional scientists (n = 40). Citizen science studies have mainly focused on the distribution and composition of marine litter in the intertidal zone. Studies extended over regional, national and international scales, with time periods generally extending from less than one year to two years. Professional studies have also examined the distribution and composition of marine litter, but from intertidal, subtidal and pelagic zones, with some focusing exclusively on microplastics. These studies have been conducted over local, regional and international scales, usually for less than one year each. Both citizen science and professional studies on marine litter have been conducted mainly in the northern hemisphere, revealing a lack of information available on coastal regions of the southern hemisphere. A main concern of citizen science studies is the reliability of the collected information, which is why many studies include steps to ensure data quality, such as preparation of clear protocols, training of volunteers, in situ supervision by professional scientists, and revision of samples and data. The results of this comparative review confirm that citizen science can be a useful approach to increase the available information on marine litter sources, distribution and ecological impacts. Future studies should strive to incorporate additional citizen scientists who frequent marine environments, for instance, divers and sailors, to improve our understanding of marine litter dynamics. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1179", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1179", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1179", "url": "https:\/\/hdl.handle.net\/11329\/1179" }, "author": [ { "@type": "Person", "name": "Hidalgo-Ruz, Valeria" }, { "@type": "Person", "name": "Thiel, Martin" } ], "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "Marine litter", "Microplastics", "Marine plastics", "Data quality", "Citizen Science", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2510", "name": "ISO 22719:2008. Water quality \u2014 Determination of total alkalinity in sea water using high precision potentiometric titration. Edition 1. [Reviewed 2022].", "description": " - The oceanic carbonate system can be depicted by measuring at least two parameters of four: total inorganic carbon; total alkalinity; fugacity of CO2; and pH of sea water. At the time of publication, it is possible to determine the first two parameters more precisely for subsurface water. Analytical methods for sea water samples, however, require specific conditions and techniques essential to the precise and accurate determination. This International Standard describes a method for the determination of total alkalinity in sea water with an error of less than 0,1 %. This method is designed to provide international compatibility of accurate data sets on total alkalinity in sea water, which are collected by various communities. Such compatibility is the basis for national and international operational observation and monitoring programs of the oceanic carbonate system, as well as individual research work. WARNING \u2014 Persons using this International Standard should be familiar with normal laboratory practice. This standard does not purport to address all of the safety problems, if any, associated with its use. It is the responsibility of the user to establish appropriate safety and health practices and to ensure compliance with any national regulatory conditions. IMPORTANT \u2014 It is absolutely essential that tests conducted according to this International Standard be carried out by suitably trained staff. - , - Published - , - Refereed - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2510", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2510", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2510", "url": "https:\/\/hdl.handle.net\/11329\/2510" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Total Alkalinity", "Data compatibiility", "ISO Standard", "Carbonate system", "Data acquisition", "Data analysis", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1903", "name": "Ocean Buoy Awareness [Training Videos]", "description": " - This video, funded by WMO, ECCC Canada, CREWS and KMA shall enhance public awareness and understanding on the value of ocean buoys. - , - WMO, ECCC Canada, CREWS and KMA - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - International - , - Reports with methodological relevance - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1903", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1903", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1903", "url": "https:\/\/hdl.handle.net\/11329\/1903" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Buoys", "Data buoys", "Data collection" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/123", "name": "Handbook of offshore forecasting services. Revision 2003. [ incomplete record, no document attached]", "description": " - offshore forecasting; guides - , - This handbook is a product of the Offshore Weather Panel, which includes representatives from the offshore petroleum industry and from forecasting agencies situated around the North Sea. The Offshore Panel was established through a joint initiative by the International Association of Oil and Gas Producers (OGP), and marine forecasting centres and agencies. Through a dialogue between service providers and users, the Panel developed the first Handbook of Weather Forecasting WMO\/TD-N0 850 (1998). This revision of the Handbook, completed in April 2003, reflects the increased importance of quality assurance within weather forecasting services. The revision outlines a new range of services derived from recent technological and scientific advances. Further, in response to feedback from the offshore industry, a chapter has been added on weather services for Helicopter Operations. It is intended to incorporate the revision into a more formal update of the WMO\/TD-NO850, within the next couple of years. - , - http:\/\/info.ogp.org.uk\/metocean\/OWP\/index.html - , - OGP\/ET-WS need to review - , - should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/123", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/123", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/123", "url": "https:\/\/hdl.handle.net\/11329\/123" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Offshore forecasting services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1827", "name": "Wildlife Management Summit Report November 6\u20138, 2017 Ottawa, Canada.", "description": " - The Inuit Circumpolar Council (ICC) hosted the Wildlife Management Summit that took place on November 6 to 8, 2017 in Ottawa, Ontario, Canada to deliver on the commitment made in Article 40 of the Kitigaaryuit Declaration, as adopted at the 2014 ICC General Assembly in Inuvik, which, \u201cdirects ICC to plan and host an Inuit summit on wildlife management.\u201d The ICC Wildlife Management Summit\u2019s goal was to examine the influence that policies (international, regional, national instruments), environmental change, public perceptions, and changing social economic conditions in the Arctic are having on Arctic wildlife and Inuit food security. The Summit was further directed by the Alaskan Inuit Food Security Conceptual Framework: How to Assess the Arctic From an Inuit Perspective. The report, which reflects the views and knowledge of Alaskan Inuit, emphasizes the need to build stronger co-management structures in order to support food security. The following key actions were put forward by summit participants: -- ICC establish and support a Circumpolar Inuit Wildlife Committee (CIWC) whose mission will be to collaboratively, cooperatively and inclusively preserve and protect Inuit cultural rights to food sovereignty by providing a unified pan-Arctic Inuit voice. -- ICC establish and support a Circumpolar Inuit Wildlife Network (CIWN) in order to support information sharing, learning and communication about Inuit rights, wildlife management and food sovereignty within the network and with the CIWC. -- That an interim steering committee be formed immediately to develop a strategy for CIWC to be proposed to the General Assembly of ICC in July 2018. - , - Published - , - Current - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1827", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1827", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1827", "url": "https:\/\/hdl.handle.net\/11329\/1827" }, "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Inuit", "Indigenous communites", "Indigenous rights", "Kitigaaryuit Declaration", "Wildlife management", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/941", "name": "Transcriptome sequencing of 19 diverse species of choanoflagellates.", "description": " - The origin of animals, which occurred over 600 million years ago, left no evidence in the fossil record. To trace the earliest events in animal prehistory, we compare extant animals to their closest living relatives, the choanoflagellates, in order to reconstruct the gene content of their last common ancestor and how it evolved on the stem lineage leading to animals. In this project, we increase the accuracy of ancestral animal and choanoflagellate gene content reconstructions by sequencing the transcriptomes of 19 species of choanoflagellates selected for their phylogenetic diversity. This protocol accompanies the following publication: Richter, Daniel J and Fozouni, Parinaz and Eisen, Michael and King, Nicole. Gene family innovation, conservation and loss on the animal stem lineage. 2018;7:e34226 https:\/\/doi.org\/10.7554\/eLife.34226 - , - Published - , - This protocol accompanies the following publication: Richter, Daniel J and Fozouni, Parinaz and Eisen, Michael and King, Nicole. Gene family innovation, conservation and loss on the animal stem lineage. 2018;7:e34226 https:\/\/doi.org\/10.7554\/eLife.34226 - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/941", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/941", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/941", "url": "https:\/\/hdl.handle.net\/11329\/941" }, "author": [ { "@type": "Person", "name": "Richter, Daniel" }, { "@type": "Person", "name": "Fozouni, Parinaz" }, { "@type": "Person", "name": "Eisen, Michael" }, { "@type": "Person", "name": "King, Nicole" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1661", "name": "CTD Setup & Diagnostics: Seabird CTD-Carousel Setup & Deck Unit Diagnostics.", "description": " - SIO-CalCOFI\u2019s method of terminating the sea cable uses a custom 4-pin pigtail to terminate a multi-strand conductive wire that allows each individual conductor to be used in any combination. Terminating the sea cable using this technique may be viewed in the CalCOFI Handbook: CTD Termination. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD Seabird - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1661", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1661", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1661", "url": "https:\/\/hdl.handle.net\/11329\/1661" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1994", "name": "A Practical Handbook of Seawater Analysis, 2nd edition.", "description": " - The basic purpose of the book is unchanged. It is not designed as a compendium of methods of seawater analysis but consists of full working instructions of certain procedures used by the authors and their colleagues in the laboratory and at sea and found by them to be reliable and to have an adequate sensitivity and precision for most studies of marine ecology. The reason for using one approach in favour of another is not always stated, as often it was a matter of judgment and preference on the part of the authors. Some of the methods are taken directly from the literature with only the slight modifications of solution volumes and concentrations necessary for convenient shipboard use. In many instances, however, the original procedures have been greatly modified where this has been found to result in an increase of speed, precision, or operational simplicity. A number of the methods constitute a completely new application of analytical techniques to marine chemistry. Although a measurement of the photosynthetic potential of a sample of sea water or of the growth rate of suspended matter is not strictly seawater analysis, these determinations are becoming increasingly important in many marine laboratories and we have taken the opportunity to include a short section on some of the basic procedures involved. Most of the methods described in this book are for substances that affect or measure organic production in the sea and, in most cases, the methods can be mastered by relatively inexperienced workers in a ship's laboratory. In general the procedures require only simple apparatus but we have included in this new book some approaches which necessitate the use of more highly specialized equipment. This book does not, however, attempt to treat comprehensiveiy the analysis for transitional and \"rare\" metallic elements, which are mainly of geochemical interest, although we have retained methods for iron, manganese, and copper unchanged from earlier issues. These methods are simple and reliable but more sensitive ones can now be found in the literature. Automation in seawater analysis is at last a reality but methods and equipment are still in the exploratory stages. We have now accumulated more than 2 years of sea-going experience with automation so that a brief outline of the methodology used by us may prove to be a worthwhile introduction to the subject. Although the presence of 3.5% dissolved salts in the ocean gives rise to many analytical difficulties, the relative constancy of composition and ionic environment of sea water has the advantage that one method will generally be applicable to sa waters of all normal salinities. The methods given here are designed solely for ea water and should be used with caution if applied to the analysis of lake water, brackish waters, or water heavily contaminated with organic and inorganic pollutants such as the interstitial water in sediments. In many of these instances major modifications will be necessary. For work in anoxic basins, where hydrogen sulphide is present, most of the methods given here may be used provided that the hydrogen sulphide is first removed by acidifying the solutions to about pH 3 and bubbling vigorously with nitrogen gas until no more sulphide smell is apparent. Generally, quantities of certain substances such as ammonia and phosphate will be considerably higher in anoxic waters than in ordinary sea water. As mentioned in the Preface to our earlier works, we cannot claim that all the present methods are as free from defects as might be desirable, or that better techniques may not exist or become available soon. However, it is hoped they may prove of use to newcomers in the field or to institutions where marine chemistry is not of major importance but where a certain amount of analysis may have to be undertaken. - , - Published - , - Current - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1994", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1994", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1994", "url": "https:\/\/hdl.handle.net\/11329\/1994" }, "author": [ { "@type": "Person", "name": "Strickland, J.D.H." }, { "@type": "Person", "name": "Parsons, T.R." } ], "contributor": [ { "@type": "Organization", "name": "Fisheries Research Board of Canada" } ], "keywords": [ "Carbon, nitrogen and phosphorus", "Carbonate system", "Dissolved gases", "Nutrients", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2011", "name": "Guidelines for sampling and determination of hydrogen sulphide (H2S) in Seawater.", "description": " - Hydrogen sulphide is a poisonous gas that readily dissolves in water. The sulphide is formed in stagnant waters, where the oxygen has been consumed by bacteria oxidizing organic matter to carbon dioxide, water, and inorganic ions. Sulphate-reducing bacteria then use the oxygen bound in sulphate ions as an electron acceptor while reducing the sulphate ions to sulphide. No higher life forms can exist in water containing hydrogen sulphide, and these areas are thus turned into oceanic deserts. Hydrogen sulphide in a water sample is easily detected by its characteristic smell, even at concentrations lower than those measurable with the method below. 1.2 Purpose and aims Monitoring of dissolved oxygen and hydrogen sulphide provide information of an indirect effect of eutrophication. The purpose of the monitoring is to map the spatial distribution of concentrations of dissolved oxygen and hydrogen sulphide, with the aim to be able to assess the status of the seafloor and the waters above and to ensure that the data is comparable for the HELCOM pre-core indicator \u2018Shallow-water oxygen\u2019 and core indicator \u2018Oxygen debt\u2019. The indicator descriptions, including their monitoring requirements, are given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/oxygen. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2011", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2011", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2011", "url": "https:\/\/hdl.handle.net\/11329\/2011" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Monitoring", "Hydrogen sulphide", "Dissolved gases", "dissolved gas sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1202", "name": "Indigenous Data Governance: Strategies from United States Native Nations.", "description": " - Data have become the new global currency, and a powerful force in making decisions and wielding power. As the world engages with open data, big data reuse, and data linkage, what do data-driven futures look like for communities plagued by data inequities? Indigenous data stakeholders and non-Indigenous allies have explored this question over the last three years in a series of meetings through the Research Data Alliance (RDA). Drawing on RDA and other gatherings, and a systematic scan of literature and practice, we consider possible answers to this question in the context of Indigenous peoples vis-\u00e1-vis two emerging concepts: Indigenous data sovereignty and Indigenous data governance. Specifically, we focus on the data challenges facing Native nations and the intersection of data, tribal sovereignty, and power. Indigenous data sovereignty is the right of each Native nation to govern the collection, ownership, and application of the tribe\u2019s data. Native nations exercise Indigenous data sovereignty through the interrelated processes of Indigenous data governance and decolonizing data. This paper explores the implications of Indigenous data sovereignty and Indigenous data governance for Native nations and others. We argue for the repositioning of authority over Indigenous data back to Indigenous peoples. At the same time, we recognize that there are significant obstacles to rebuilding effective Indigenous data systems and the process will require resources, time, and partnerships among Native nations, other governments, and data agents. - , - ; - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1202", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1202", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1202", "url": "https:\/\/hdl.handle.net\/11329\/1202" }, "author": [ { "@type": "Person", "name": "Carroll, Stephanie Russo" }, { "@type": "Person", "name": "Rodriguez-Lonebear, Desi" }, { "@type": "Person", "name": "Martinez, Andrew" } ], "keywords": [ "Indigenous data sovereignty", "Data governance", "Data Sovereignty", "Data stewardship", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1458", "name": "Disrupting data sharing for a healthier ocean.", "description": " - Ocean ecosystems are in decline, yet we also have more ocean data, and more data portals, than ever before. To make effective decisions regarding ocean management, especially in the face of global environmental change, we need to make the best use possible of these data.Yet many data are not shared, are hard to find, and cannot be effectively accessed. We identify three classes of challenges to data sharing and use: uploading, aggregating, and navigating. While tremendous advances have occurred to improve ocean data operability and transparency, the effect has been largely incremental. We propose a suite of both technical and cultural solutions to overcome these challengesincluding the use of natural language processing, automatic data translation, ledger-based data identifiers, digital community currencies,data impact factors, and social networks as ways of breaking through these barriers. One way to harness these solutions could be a combina-torial machine that embodies both technological and social networking solutions to aggregate ocean data and to allow researchers todiscover, navigate, and download data as well as to connect researchers and data users while providing an open-sourced backend for new data tools. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1458", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1458", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1458", "url": "https:\/\/hdl.handle.net\/11329\/1458" }, "author": [ { "@type": "Person", "name": "Pendleton, Linwood H." }, { "@type": "Person", "name": "Beyer, Hawthorne" }, { "@type": "Person", "name": "Estradivari" }, { "@type": "Person", "name": "Grose, Susan O." }, { "@type": "Person", "name": "Hoegh-Guldberg, Ove" }, { "@type": "Person", "name": "Karcher, Denis B." }, { "@type": "Person", "name": "Kennedy, Emma" }, { "@type": "Person", "name": "Llewellyn, Lyndon" }, { "@type": "Person", "name": "Nys, Cecile" }, { "@type": "Person", "name": "Shapiro, Aurelie" }, { "@type": "Person", "name": "Jain, Rahul" }, { "@type": "Person", "name": "Kuc, Katarzyna" }, { "@type": "Person", "name": "Leatherland, Terry" }, { "@type": "Person", "name": "O\u2019Hainnin, Kira" }, { "@type": "Person", "name": "Olmedo, Guillermo" }, { "@type": "Person", "name": "Seow, Lynette" }, { "@type": "Person", "name": "Tarsel, Mick" } ], "keywords": [ "Combinatorial machine", "Data sharing", "Data uploading", "Ocean conservation", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data exchange", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2101", "name": "Guidelines for the development of Community Specific Guidelines.", "description": " - One of several initiatives taken by AECO is the development of community guidelines for visitors to the North Atlantic and High Arctic regions. This work has been undertaken in cooperation with Visit Greenland, Visit Svalbard, Northern Norway Tourist Board and Cruise Iceland, with financial support from the Nordic Atlantic Cooperation. These guidelines Guidelines for the development of Community Specific Guidelines are general and apply in most North Atlantic and High Arctic communities, and will be implemented in the tourism work by all partners, as far as possible. - , - Published - , - Current - , - Mature - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2101", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2101", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2101", "url": "https:\/\/hdl.handle.net\/11329\/2101" }, "contributor": [ { "@type": "Organization", "name": "Association of Arctic Expedition Cruise Operators" } ], "keywords": [ "Tourism", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1637", "name": "Best Practices for Collecting Onsite Data to Assess Recreational Use Impacts from an Oil Spill.", "description": " - In the aftermath of an oil spill, state and federal natural resource trustees (\u201cTrustees\u201d) often need to assess impacts to recreational use as part of a Natural Resource Damage Assessment (NRDA). A lost recreational use assessment\u2014one component of a broader \u201cHuman Use\u201d assessment that can also include financial, cultural, and subsistence losses\u2014measures losses to the public due to a reduced ability to interact with Trust resources. For spills affecting coastal areas, this often means reduced recreational fishing, boating, beach use, and other activities along the coast (e.g. birdwatching, diving, and hunting). For these assessments, data are needed to estimate changes in the amount of recreation at sites potentially affected by the spill. Actual use levels during the spill and the period of recovery (\u201cspill period use\u201d) are compared to use levels that would have occurred if not for the spill (\u201cbaseline use\u201d) to determine the change in use. In some cases, existing data sources alone are insufficient to conduct the assessment, and new data must be collected. This manual provides guidance to Trustees (and responsible parties (\u201cRPs\u201d) in the case of \u201ccooperative assessments\u201d) on the relevant methods and considerations for collecting data for recreational use assessments. While a range of methods may be used, this manual focuses only on onsite data collection using ground personnel and aerial photography. Other methods that may be considered but are not discussed in this manual include mail, telephone, and internet surveys; automated vehicle or people counters; and roving or fixed-point ground photography (see Leggett, 2015). This manual provides several examples, both to illustrate the application of different approaches and to provide ideas and templates for future data collection efforts. The examples cover a range of activities, including general beach recreation (swimming, sunbathing, etc.), shore-based fishing (i.e., saltwater fishing not occurring on sandy beaches), and boating (including pleasure boating and boat-based fishing). The chapters in this manual address all the necessary steps for onsite data collection: sampling design, developing data collection materials, study implementation (e.g., staffing logistics and safety), field data intake and review, and data entry and processing. - , - Published - , - Refereed - , - Current - , - 14.1 - , - N\/A - , - Organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1637", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1637", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1637", "url": "https:\/\/hdl.handle.net\/11329\/1637" }, "author": [ { "@type": "Person", "name": "Horsch, E." }, { "@type": "Person", "name": "Welsh, M." }, { "@type": "Person", "name": "Price, J." } ], "contributor": [ { "@type": "Organization", "name": "United States, National Ocean Service, Office of Response and Restoration" } ], "keywords": [ "BP Deepwater Horizon Explosion and Oil Spill, 2010", "Oil spills", "Oil Pollution", "Environmental impact analysis", "Recreation areas", "Coastal waters", "Coastal zone management", "Fishing", "Boats and Boating", "Coastlines", "Anthropogenic contamination", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1171", "name": "Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, Volume 3.0: Protocols for Satellite Ocean Colour Data Validation: In Situ Optical Radiometry.", "description": " - This protocol document aims to support the ocean color community with protocols for the collection, processing and quality assurance of in situ measurements of the apparent optical properties of natural water for the validation of satellite radiometric products. In addition to a general introduction on Elements of Marine Optical Radiometry Data and Analysis (Chapter 1), the document addresses Radiometers Specifications (Chapter 2), Calibration and Characterization of Optical Radiometers (Chapter 3), In-water Radiometry Measurements and Data Analysis (Chapter 4), and Above-water Radiometry Measurements and Data Analysis (Chapter 5). The overall structure and content of the various chapters are based on, and benefit from, the Ocean Optics Protocols promoted by the National Aeronautics and Space Administration within the framework of the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) and Sensor Intercomparison for Marine Biological and Interdisciplinary Ocean Studies (SIMBIOS) programs (Mueller and Austin 1995, Mueller et al. 2003a, Mueller et al. 2003b). It is emphasized that, by recognizing optical radiometry can be heavily affected by the presence of clouds which will unavoidably challenge the quantification of measurement uncertainties, the protocols put emphasis only on measurements performed during clear sky conditions, which are those relevant for the validation of satellite ocean color data products. Finally, it is anticipated that the chapters on in-water and above-water radiometry provide comprehensive details on those measurement methods sharing large consensus inside the community and whose application is strongly encouraged. Conversely, brief summaries are only provided for those methods already well represented by the previous ones or for those methods that may exhibit difficult implementation in a variety of measurement conditions. - , - Published - , - Contributing authors: Giuseppe Zibordi, Kenneth J. Voss, B. Carol Johnson and James L. Mueller - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1171", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1171", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1171", "url": "https:\/\/hdl.handle.net\/11329\/1171" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2597", "name": "Field Manual for Imagery Based Surveys using Remotely Operated Vehicles (ROVs). [Version 3].", "description": " - The primary aim of this field manual is to establish a consistent sampling protocol for marine benthic assemblages using ROVs and to facilitate statistically sound research to allow comparisons between studies. This manual will focus on the use of ROVs for the collection of still and video imagery of fish and associated seabed habitats but consider researchers may use them for other purposes as detailed in Table 10.1. We also consider all ROV classes here and provide some guidance around the limitations associated with each class. The document leverages the expertise of the working group focusing on still and video imagery (Chapters 4 and 7 for example, but see Table 10.1 for a brief summary of additional uses for ROVs). The scope of the manual covers equipment, pre-survey preparation, field procedures, and post-survey procedure for using ROVs to photographically and videographically survey seabed assemblages (including fishes) found within Australia\u2019s vast marine estate. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.a - , - Fish abundance and distribution - , - Invertebrate abundance and distribution - , - Macroalgal canopy cover and composition - , - Hard coral cover and composition - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2597", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2597", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2597", "url": "https:\/\/hdl.handle.net\/11329\/2597" }, "author": [ { "@type": "Person", "name": "Monk, J." }, { "@type": "Person", "name": "Barrett, N." }, { "@type": "Person", "name": "Bond, T." }, { "@type": "Person", "name": "Fowler, A." }, { "@type": "Person", "name": "McLean, D." }, { "@type": "Person", "name": "Partridge, J." }, { "@type": "Person", "name": "Perkins, N." }, { "@type": "Person", "name": "Przeslawski, R." }, { "@type": "Person", "name": "Thomson, P.G." }, { "@type": "Person", "name": "Williams, J." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "ROV", "Video survey", "Underwater photography", "Biota abundance, biomass and diversity", "underwater cameras", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1494", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: May 2015 to November 2016. Version 3.0. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1563]", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from May, 2015 to November, 2016). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1494", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1494", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1494", "url": "https:\/\/hdl.handle.net\/11329\/1494" }, "author": [ { "@type": "Person", "name": "Lovell, Jenny" }, { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/866", "name": "Epibiota Remote Monitoring from Digital Imagery: Operational Guidelines.", "description": " - There is increasing recognition that the effective acquisition and interpretation of underwater video and still image data for biodiversity is growing in importance. Numerous organisations (e.g. Statutory Nature Conservation Bodies (SNCBs), Inshore Fisheries Conservation Authorities (IFCAs), environmental consultancy agencies, industry and academic institutes) are now engaged in this work for a variety of different purposes, including: \uf0b7 Marine habitat mapping of physical seabed habitats and features in support of a variety of national and international initiatives, e.g. the Marine Environmental Mapping Programme (MAREMAP), Integrated Mapping For the Sustainable Development of Ireland's Marine Resource (INFOMAR) and Mapping European Seabed Habitats (MESH). \uf0b7 Characterisation of epifaunal attributes of seabed habitats and features e.g. in support of the Marine Strategy Framework Directive, Water Framework Directive, designation of Marine Protected Areas (European and National), marine development applications and licensing. \uf0b7 Monitoring trends in seabed habitat features and their associated epibiotic communities, e.g. in support of monitoring the effectiveness of management measures implemented to achieve given conservation objectives within MPAs and also to assess and monitor predicted impacts for given marine developments and the effectiveness of mitigation measures implemented. The guidelines in this document provide a summary of current best practice for the acquisition of video and stills imaging of benthic substrata and epibenthic species to ensure that data collected are fit for purpose in relation to the needs and requirements of a survey. These guidelines form part of the epibiota component of the NMBAQC scheme, reporting to HBDSEG (Healthy and Biologically Diverse Seas Evidence Group) under the UK\u2019s Marine Monitoring and Assessment Strategy (UKMMAS). - , - Published - , - Superceded by: http:\/\/dx.doi.org\/10.25607\/OBP-414 - , - Refereed - , - Current - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/866", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/866", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/866", "url": "https:\/\/hdl.handle.net\/11329\/866" }, "author": [ { "@type": "Person", "name": "Hitchin, R." }, { "@type": "Person", "name": "Turner, J.A." }, { "@type": "Person", "name": "Verling, E." } ], "contributor": [ { "@type": "Organization", "name": "Joint Nature Conservation Committee (JNCC)\/ NMBAQCS" } ], "keywords": [ "Underwater photography", "Video imagery", "Interpretation", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1732", "name": "Robots Versus Humans: Automated Annotation Accurately Quantifies Essential Ocean Variables of Rocky Intertidal Functional Groups and Habitat State.", "description": " - Standardized methods for effectively and rapidly monitoring changes in the biodiversity of marine ecosystems are critical to assess status and trends in ways that are comparable between locations and over time. In intertidal and subtidal habitats, estimates of fractional cover and abundance of organisms are typically obtained with traditional quadrat-based methods, and collection of photoquadrat imagery is a standard practice. However, visual analysis of quadrats, either in the field or from photographs, can be very time-consuming. Cutting-edge machine learning tools are now being used to annotate species records from photoquadrat imagery automatically, significantly reducing processing time of image collections. However, it is not always clear whether information is lost, and if so to what degree, using automated approaches. In this study, we compared results from visual quadrats versus automated photoquadrat assessments of macroalgae and sessile organisms on rocky shores across the American continent, from Patagonia (Argentina), Galapagos Islands (Ecuador), Gorgona Island (Colombian Pacific), and the northeast coast of the United States (Gulf of Maine) using the automated software CoralNet. Photoquadrat imagery was collected at the same time as visual surveys following a protocol implemented across the Americas by the Marine Biodiversity Observation Network (MBON) Pole to Pole of the Americas program. Our results show that photoquadrat machine learning annotations can estimate percent cover levels of intertidal benthic cover categories and functional groups (algae, bare substrate, and invertebrate cover) nearly identical to those from visual quadrat analysis. We found no statistical differences of cover estimations of dominant groups in photoquadrat images annotated by humans and those processed in CoralNet (binomial generalized linear mixed model or GLMM). Differences between these analyses were not significant, resulting in a Bray-Curtis average distance of 0.13 (sd 0.11) for the full label set, and 0.12 (sd 0.14) for functional groups. This is the first time that CoralNet automated annotation software has been used to monitor \u201cInvertebrate Abundance and Distribution\u201d and \u201cMacroalgal Canopy Cover and Composition\u201d Essential Ocean Variables (EOVs) in intertidal habitats. We recommend its use for rapid, continuous surveys over expanded geographical scales and monitoring of intertidal areas globally. - , - Refereed - , - 14.a - , - Macroalgal canopy cover and composition - , - Invertebrate abundance and distribution - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1732", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1732", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1732", "url": "https:\/\/hdl.handle.net\/11329\/1732" }, "author": [ { "@type": "Person", "name": "Bravo, Gonzalo" }, { "@type": "Person", "name": "Moity, Nicolas" }, { "@type": "Person", "name": "Londo\u00f1o-Cruz, Edgardo" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Bigatti, Gregorio" }, { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "Choi, Francis" }, { "@type": "Person", "name": "Parmalee, Lark" }, { "@type": "Person", "name": "Helmuth, Brian" }, { "@type": "Person", "name": "Montes, Enrique" } ], "keywords": [ "Biodiversity monitoring", "Machine learning", "Essential Ocean Variable (EOV)", "Photoquadrats", "Rocky intertidal zone", "CoralNet", "Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/332", "name": "Monitoring guidance for marine benthic habitats.", "description": " - Marine benthic monitoring programmes produce evidence against which to evaluate the cause and direction of change in the marine environment. They can also inform which management measures are appropriate, and determine whether they have been successful. It is crucial that monitoring programmes are well-designed and statistically robust to allow conclusions to be drawn from the acquired data. This \u2018best-practice\u2019 guidance aims to provide the information necessary to develop robust monitoring programmes that accurately identify change in the benthic environment. The guidance combines established ecological theory and protocols with JNCC advice and recommendations on benthic monitoring, by means of a step-wise framework which details key stages in the development of a monitoring programme. Whilst topics such as sample processing and equipment selection have been amply covered elsewhere, this guidance focuses on sampling design, drawing on frequentist theory. The basis of the framework is the development of monitoring objectives, following which the guidance addresses indicator selection, use of existing data, and temporal factors. The importance of statistical power and significance is explored, with guidance on the appropriate levels and ratios for different types of monitoring and the use of power analysis to determine the appropriate sample size. Dependency issues and sampling units are discussed, before guidance on sampling designs is provided. Finally, a statistical analysis section outlines various tests and analyses which can be performed to fulfil a range of monitoring objectives. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/332", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/332", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/332", "url": "https:\/\/hdl.handle.net\/11329\/332" }, "author": [ { "@type": "Person", "name": "Noble-James, T." }, { "@type": "Person", "name": "Jesus, A." }, { "@type": "Person", "name": "McBreen, F." } ], "contributor": [ { "@type": "Organization", "name": "JNCC: Joint Nature Conservation Committee" } ], "keywords": [ "Benthic environment", "Statistical analysis", "Monitoring systems", "Sampling design", "Frequentist theory", "Indicator selection", "Parameter Discipline::Environment", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::benthos samplers", "Data Management Practices::Data analysis", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1569", "name": "Current Status and Options for Biotechnologies in Aquaculture and Fisheries in Developing Countries.", "description": " - The rapid growth of aquaculture has significantly benefited from both conventional technologies and biotechnologies and it is expected that advanced biotechnologies will further help the sector in meeting the global demand for aquatic food in the coming decades. While biotechnologies are being applied in fisheries management, their use is very limited compared with aquaculture. The four main areas where biotechnologies have been used in aquaculture and fisheries include genetic improvement and control of reproduction; biosecurity and disease control; environmental management and bioremediation; and biodiversity conservation and fisheries management. One of the main reasons for the success of aquaculture is the diversity of species currently in culture (over 230) and the genetic diversity that can be exploited through captive breeding and domestication. However, the rearing of many newly cultured species is to a large extent based on juveniles and\/or broodstock obtained from the wild. In order to establish practical breeding programmes to produce seed in hatcheries, it is necessary to have a detailed understanding of the complete production cycle. Such knowledge is also required to disseminate breeding improvements to the production sector. Improvements that allow the wider application of appropriate genetic and reproduction biotechnologies will undoubtedly increase aquaculture production, thus contributing to global food production. These biotechnologies include polyploidy, gynogenesis and androgenesis, the development of monosex populations and cryopreservation. Disease outbreaks are a serious constraint to aquaculture development. Disease control and health management in aquaculture are different from the terrestrial livestock sector, particularly due to the fluid environment. Disease occurs in all systems, from extensive 192 B iotech nolog i es for Ag r icu ltu ra l D eve lopm e nt SECTION 1: BACKGROUND TO to intensive, and losses are possible in all types of production systems. There is a need for better management of intensive systems, and biotechnologies are being used for this purpose. Immunoassay and DNA-based diagnostic methods are currently used to screen and\/or confirm the diagnosis of many significant pathogens in aquaculture in developing countries. Also, one of the most important factors leading to reduced antibiotic use by the aquaculture sector is the availability of good prophylactic measures for diseases causing severe mortalities in cultured fish and shellfish. The use of vaccines provides good immunoprophylaxis for some of most important infectious diseases of finfish. As molecularbased vaccine production procedures rely heavily on biotechnological tools, vaccines are being produced mainly in developed countries. Reducing the environmental impacts of aquaculture is a significant task. Aquaculture is often accused of being unsustainable and not environmentally friendly. Reducing the impacts of effluent discharge, improving water quality and responsible use of water are key areas to be considered in aquaculture development. Some biotechnologies are being used to address these areas, including bioremediation for the degradation of hazardous wastes and use of DNA-based methodologies for the early detection of toxin-producing algae. In capture fisheries, the sustainable management and conservation of fisheries is a priority. Better understanding of the population structure of the fishery is therefore of paramount importance. Some biotechnologies have already been applied but there is ample scope for the greater use of biotechnologies in fisheries management worldwide. The use of molecular markers and the principles of population genetics have proved very effective for assessing the actual levels of genetic variability within single populations and for measuring the extent of differentiation between populations. - , - Published - , - Refereed - , - Current - , - 2 - , - 14.7 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1569", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1569", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1569", "url": "https:\/\/hdl.handle.net\/11329\/1569" }, "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Aquaculture", "Mariculture", "Parameter Discipline::Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1557", "name": "Method for Reproducible Shipboard Segmented Flow Analysis Ammonium Measurement using an In-House Reference Material for Quality Control.", "description": " - Ammonium is a fundamental nutrient for phytoplankton growth in seawater and is a key component of the microbial loop. Ammonium measured in parallel with other nutrients is crucial in understanding the small temporal scale changes in oceanographic ecology. Despite the importance of measuring ammonium at sea, owing to its lability, there is no consensus on the best method. The lack of availability of certified reference materials for ammonium in seawater also makes it difficult to assess the accuracy and reproducibility of ammonium measurements. In this study we present a modified segmented flow analysis method using ortho-phthaldialdehyde (OPA) with fluorescence detection to measure ammonium at sea together with four other macro-nutrients (nitrate, nitrite, silicate and phosphate) in near real time. An in-house ammonium quality control (QC) material was produced to improve the accuracy and repeatability of the measurement at sea. The QC was prepared following two different methods and stored in two types of containers. The suitability of the in-house QC\u2019s as a reference material were assessed onboard the RV Investigator in 2018 during two oceanographic voyages, including one on the repeat SR03 CLIVAR transect. This paper describes the production and assessment of the in-house QC for ammonium in seawater, providing groundwork for creating a short-term stable ammonium reference material for sea going voyages. The uncertainty of this method of ammonium measurement was found to be 0.10 \u03bcmol\/L at ammonium concentration of 1.0 \u03bcmol\/L. Results show that preparation of the QC inside a laminar flow cabinet and directly into 10 mL polypropylene sample tubes just prior to the commencement of the voyage improved its stability. - , - Refereed - , - 14.A - , - Nutrients - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - , - 2020-07-10 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1557", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1557", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1557", "url": "https:\/\/hdl.handle.net\/11329\/1557" }, "author": [ { "@type": "Person", "name": "Rees, Christine" }, { "@type": "Person", "name": "Janssens, Julie" }, { "@type": "Person", "name": "Sherrin, Kendall" }, { "@type": "Person", "name": "Hughes, Peter" }, { "@type": "Person", "name": "Tibben, Stephen" }, { "@type": "Person", "name": "McMahon, Merinda" }, { "@type": "Person", "name": "McDonald, Jack" }, { "@type": "Person", "name": "Camac, Alicia" }, { "@type": "Person", "name": "Schwanger, Cassie" }, { "@type": "Person", "name": "Marouchos, Andreas" } ], "keywords": [ "Ammonium", "Quality control", "Shipboard analysis", "Seawater", "Nutrients", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/128", "name": "User guide for thermosalinograph (TSG) installation and maintenance aboard a ship.", "description": " - Since 1990, the ECOP group (Etudes Climatiques de l'Ocean Pacifique tropical, former SURTROPAC group), IRD\/Noumea, has been operating temperature and salinity measurements on board merchant vessels using thermosalinographs. The group has considerably developed and improved installation procedures and automation of the system, i.e. automatic measurements, GPS positioning, real time data transmission through satellites. The present guide describes the implementation and use of such a system, and the various mechanical and electronic techniques that have been developed. - , - http:\/\/www.legos.obs-mip.fr\/en\/observations\/sss\/publications\/others\/rapports_en_pdf\/TSG_Guide_UK.pdf - , - SOOPIP to review (Gustavo Goni) - also check with GOSUD Chair (Loic Petit de la Villeon); should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/128", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/128", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/128", "url": "https:\/\/hdl.handle.net\/11329\/128" }, "author": [ { "@type": "Person", "name": "JCOMM Ship Of Opportunity Programme Implementation Panel" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM Ship Observations Team" } ], "keywords": [ "Temperature measurement", "Salinity measurement", "Thermosalinograph", "Ship observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1774", "name": "Video demonstrating how to set-up, deploy and operate a Ski-Monkey III towed benthic camera system. [Training Video]", "description": " - The Ski-Monkey III benthic camera system is a passive, towed camera mounted on a squat, stainless steel frame, resting on two 10 cm wide skis. It consists of an underwater module, containing pressure housings that are fitted with a Canon EOS 760D camera, capturing both video and still images, two LED lights and flashes to illuminate the seabed, and three scaling lasers to quantitatively scale the seafloor images. The pressure housings are set at a 45 degree angle, relative to the horizontal plain and are approximately 90 cm above the substratum. Also attached to the camera frame is a MicroCAT CTD, which records salinity, temperature, and depth during the camera transect. An additional sensor is attached to the frame for collecting dissolved oxygen data. This training video demonstrates how to set up, deploy and operate the Ski-Monkey camera system as well as how to follow post deployment protocols. - , - Western Indian Ocean Marine Science Association (WIOMSA) through the Marine and Coastal Science for Management (MASMA) grant - , - Published - , - Current - , - 14.a - , - Invertebrate abundance and distribution (*emerging) - , - Subsurface temperature - , - Subsurface salinity - , - Oxygen - , - Multi-organisational - , - Species distributions - , - Species abundances - , - Effective population size - , - Community abundance - , - Interaction diversity - , - Ecosystem disturbances - , - Ecosystem distribution - , - Subsurface salinity\u00a0 - , - Subsurface temperature - , - Oxygen - , - Biological\/ecosystems - , - Marine habitats - , - CTD - , - Method - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1774", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1774", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1774", "url": "https:\/\/hdl.handle.net\/11329\/1774" }, "author": [ { "@type": "Person", "name": "von der meden, Charles" }, { "@type": "Person", "name": "Snyders, Laurenne" }, { "@type": "Person", "name": "van der Heever, Grant" }, { "@type": "Person", "name": "Haupt, Tanya" }, { "@type": "Person", "name": "Bernard, Anthony" } ], "contributor": [ { "@type": "Organization", "name": "Octopi Africa (Pty) Ltd and Array Media (Pty) Ltd" } ], "keywords": [ "Training video", "Benthos", "Benthic camera", "Environment", "Physical oceanography", "Biological oceanography", "Cameras", "Underwater cameras", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2474", "name": "HELCOM Monitoring Programme topic Litter. Programme: Litter in biota.", "description": " - Surveys on litter in biota are conducted to allow for an assessment of litter in biota in terms of amounts and composition of ingested plastic and numbers\/frequencies of animals adversely affected due to litter, such as by entanglement, other types of injury or mortality, or health effects (harm). As outlined in JRC (2013), EUs Technical Group for Marine Litter (TG-ML) has proposed several MSFD relevant indicators for ingestion and harm of marine litter in biota that potentiallty also can be relevant for Baltic Sea: Ingestion by seabirds: Stomach contents of plastic pieces >1mm measured as counted numbers and by material weight and devided into differet groups of plastics as described in the OSPAR monitoring protocol for ingestion of plastic by fulmars. Ingestion by fish: Stomach contents of microplastics characterized by amounts, size fractions, shape, colour and polymer composition. Ingestion by invertebrates: Contents microplastics characterized by amounts, size fractions, shape, colour and polymer composition. Entanglement of animals: Numbers\/frequencies of entanglement in e.g. bird colonies, stranded animals or in ghost nets. Plastic used as nest materials by seabirds: Numbers\/frequencies of bird nests containing plastic materials e.g. by cormorants, has recently also by EU TGML been proposed as a secondary indicator for harm - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2474", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2474", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2474", "url": "https:\/\/hdl.handle.net\/11329\/2474" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Monitoring protocols", "Marine Strategy Framework Directive (MSFD)", "Plastic litter", "Plastic debris", "Ingestion", "Entanglement", "Monitoring guidelines", "Anthropogenic contamination", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2115", "name": "Submarine Cables and BBNJ.", "description": " - This paper is respectfully submitted by the International Cable Protection Committee (\u201cICPC\u201d)1 to provide the PrepCom with information on submarine cables, their contribution to sustainable development and their relationship to the marine environment in areas beyond national jurisdiction.2 The views presented generally reflect the consensus of the international community of interest in submarine cables that includes cable owners, cable ship operators, marine route surveyors, scientific institutions and interested governments (\u201csubmarine cable community\u201d). Every effort, however, is made to provide references to peer reviewed scientific, engineering, and legal references to assist the diplomats to carry out a dispassionate review while working on \u201cdevelopment of an internationally binding instrument under the United Nations Law of the Sea on the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction.\u201d In this paper, \u201cBBNJ\u201d refers to the high seas proper and the Area beyond national jurisdiction as defined in the United Nations Law of the Sea Convention. The paper is divided into three parts. The first part highlights the many uses of submarine cables and their value to sustainable social and economic development. The second part addresses BBNJ environmental aspects of cables in the context of marine protected areas (\u201cMPA\u201d) and environmental impact assessments (\u201cEIA\u201d). The third part discusses the adequacy of existing ocean international law and governance for international submarine cables within BBNJ. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2115", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2115", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2115", "url": "https:\/\/hdl.handle.net\/11329\/2115" }, "contributor": [ { "@type": "Organization", "name": "International Cable Protection Committee" } ], "keywords": [ "BBNJ", "Submarine cables", "UNCLOS", "Construction and structures", "Human activity", "submarine cables" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/245.2", "name": "Biological Plankton Data. Version 3. [ENDORSED PRACTICE]", "description": " - ICES Data Guidelines exist to support and promote expert science and, when properly adopted, ensure data are more efficiently handled and accurately managed. ICES operational Data and Information Group (DIG) has developed guidelines to assist those involved in the collection, processing, quality control, and exchange of various types of oceanographic data. These guidelines have been adopted by ICES Data Centre and are recommended to all data centres within the broader ICES community. Each set of guidelines addresses the data and metadata requirements of a specific data type. These guidelines address the data and metadata requirements of phytoplankton and zooplankton sampling. - , - Published - , - Refereed - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/245.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/245.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/245.2", "url": "https:\/\/hdl.handle.net\/11329\/245.2" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Phytoplankton", "Zooplankton", "Sampling", "Data guidelines", "Data and information quality", "Plankton database", "Phytoplankton", "Zooplankton", "Data standardisation and formatting", "Data acquisition", "Data analysis", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2138", "name": "An automated real-time vessel sound measurement system for calculating monopole source levels using a modified version of ANSI\/ASA S12.64-2009.", "description": " - Underwater noise from vessels permeates many of the world\u2019s oceans. While vessel sound emissions are at levels typically below those that would be acutely injurious to marine fauna, this noise can interfere with normal use of sounds, such as for prey and predator detection, socialization and mate attraction. Exposures to vessel noise over extended times, especially in key habitat areas, is likely to lead to chronic adverse effects including reduced feeding efficiency and difficulty finding mates. Assessments of the effects of shipping noise on marine fauna often use acoustic propagation models to predict the levels of sound exposure. These models require accurate vessel sound emission source levels. American National Standards Institute (ANSI) standard S12.64-2009 (reaffirmed in 2014) describes procedures for measuring underwater sound from ships. The standard deals with radiated noise level (RNL) source levels that assume 20 Log(r) transmission loss (TL) between the vessel positions and the measurement hydrophones. That approach does not account for interference from surface and seabed reflections. Most acoustic models directly account for these effects, and therefore require monopole source levels (MSL). MSL assumes all acoustic energy originates at a single point in the water, at a specified depth. Few fully systematic measurements of source levels of large commercial vessels are available. A few recent studies have published source levels obtained from large numbers of vessel passes, but those measurements are typically partly opportunistic, with hydrophones in shallow water or located several kilometers distance from the vessel paths. Also, most of the existing published measurements report RNL but not MSL. The Strait of Georgia Underwater Listening Station (ULS) and JASCO Applied Science\u2019s PortListenTM processing software were designed to obtain systematic measurements of large numbers of vessels in relatively deep water (173 m). The system reports RNL measurements in approximate conformance with ANSI\/ASA S12.64 (2009) Grade-A processing but with Grade-C geometry and noting only single vessel passes are acquired per transit. MSL calculations are made similarly but with a modified backpropagation method. - , - Refereed - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2138", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2138", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2138", "url": "https:\/\/hdl.handle.net\/11329\/2138" }, "author": [ { "@type": "Person", "name": "Hannay, David E." }, { "@type": "Person", "name": "Li, Zizheng" }, { "@type": "Person", "name": "Mouy, Xavier" } ], "keywords": [ "Noise effects", "Shipping noise", "Underwater noise", "Underwater acoustics", "Underwater sound", "Sound measurement", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2634", "name": "Operational Phytoplankton Observations Best Practices: A guide for using imaging technologies for routine monitoring of phytoplankton communities", "description": " - Particle imaging instruments (PIIs) for quantifying and identifying phytoplankton in aquatic environments have proliferated over the past decade, offering transformative potential for understanding planktonic ecosystems and monitoring global changes. However, each PII and its associated sampling methodology presents unique limitations in particle detection, imaging capabilities, and environmental compatibility. While established standards exist for optical and biochemical measurements, documented in resources like the IOCCG Protocols for Satellite Ocean Colour Sensor Validation, equivalent standards for imaging technologies have been lacking. To address this gap, the OCB Operational Phytoplankton Observations (OPO) working group has developed comprehensive best practices for both collection and processing of PII-generated phytoplankton images. This best practice guide is a platform-agnostic document suitable for users at all experience levels, structured across seven key sections: Instruments and Principles of Operation, Operational Considerations, Raw Data, Derived Products and Data Analysis, Understanding Sources of Uncertainty, and Data Management, Reporting, and Sharing. The guide has undergone extensive community review and is awaiting Global Ocean Observing System endorsement. - , - Published - , - Refereed - , - Current - , - Biology and Ecosystems::Phytoplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Species distributions - , - Species abundances - , - Morphology - , - Physiology - , - Community abundance - , - Taxonomic\/phylogenetic diversity - , - Trait diversity - , - Ecosystem phenology - , - Ecosystem disturbances - , - N\/A - , - McLane Imaging Flow CytoBot - , - Yokogawa Fluid Imaging FlowCam - , - Fairscope Planktoscope - , - Sequoia LISST-Holo2 - , - Cytek Amnis ImageStream Mk II - , - Hydroptic Underwater Vision Profiler - , - Video Plankton Recorder - , - CytoBuoy CytoSense - , - CytoBuoy CytoSub - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2634", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2634", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2634", "url": "https:\/\/hdl.handle.net\/11329\/2634" }, "author": [ { "@type": "Person", "name": "Clayton, Sophie [0000-0001-7473-4873]" }, { "@type": "Person", "name": "Neeley, Aimee [0000-001-5701-0953]" }, { "@type": "Person", "name": "Poulton, Nicole [0000-0003-3020-4509]" }, { "@type": "Person", "name": "Brownlee, Emily" }, { "@type": "Person", "name": "Corrales, Marco" }, { "@type": "Person", "name": "Dugenne, Mathilde" }, { "@type": "Person", "name": "Henrichs, Darren" }, { "@type": "Person", "name": "Kavanaugh, Maria" }, { "@type": "Person", "name": "Kenitz, Kasia" }, { "@type": "Person", "name": "Koester, Julie" }, { "@type": "Person", "name": "Kramer, Sasha" }, { "@type": "Person", "name": "Lubelczyk, Laura" }, { "@type": "Person", "name": "McFarland, Malcolm" }, { "@type": "Person", "name": "R\u00fchl, Saskia" }, { "@type": "Person", "name": "Sosik, Heidi" }, { "@type": "Person", "name": "Stresser, Savannah" }, { "@type": "Person", "name": "White, Angelicque" }, { "@type": "Person", "name": "Wollschl\u00e4ger, Jochen" }, { "@type": "Person", "name": "Wright-Fairbanks, Liza" } ], "contributor": [ { "@type": "Organization", "name": "Ocean Carbon and Biogeochemistry Program" } ], "keywords": [ "Biological oceanography::Phytoplankton", "Biological oceanography::Biota composition", "flow cytometers", "optical microscopes", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1194", "name": "Synergy between Ocean Colour and Biogeochemical\/ Ecosystem Models.", "description": " - The goal of this report is to improve the communication between numerical modellers and the ocean colour community. It provides non-expert accessible information about both ocean colour and biogeochemical and ecosystem modelling. The report discusses methods of model skill assessment using ocean colour products, introduces and highlights case studies of data assimilation involving ocean colour products, and provides examples where models and ocean colour are used synergistically to better understand processes and trends in the ocean\u2019s ecosystem and biogeochemistry. Additionally, the report explores how models can help inform on ocean colour, with the goal of fostering further use of models in ocean colour studies, in helping elucidate uncertainties, and in algorithm development. - , - IOCCG sponsoring agencies - , - Published - , - Contributing authors: Mark Baird, Fei Chai, Stefano Ciavatta, Stephanie Dutkiewicz, Christopher A. Edwards, Hayley Evers-King, Marjorie A. M. Friedrichs, Sergey Frolov, Marion Gehlen, Stephanie Henson, Anna Hickman, Amir Ibrahim, Oliver Jahn, Emlyn Jones, Daniel E. Kaufman, Fr\u00e9d\u00e9ric M\u00e9lin, Colleen Mouw, Barbara Muhling, Cecile Rousseaux, Igor Shulman, Charles A. Stock, P. Jeremy Werdell and Jerry D. Wiggert - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1194", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1194", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1194", "url": "https:\/\/hdl.handle.net\/11329\/1194" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1368", "name": "Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach.", "description": " - Monitoring the spatio-temporal variations of surface chlorophyll-a concentration (Chl, a proxy of phytoplankton biomass) greatly benefited from the availability of continuous and global ocean color satellite measurements from 1997 onward. These two decades of satellite observations are however still too short to provide a comprehensive description of Chl variations at decadal to multi-decadal timescales. This paper investigates the ability of a machine learning approach (a non-linear statistical approach based on Support Vector Regression, hereafter SVR) to reconstruct global spatio-temporal Chl variations from selected surface oceanic and atmospheric physical parameters. With a limited training period (13 years), we first demonstrate that Chl variability from a 32- years global physical-biogeochemical simulation can generally be skillfully reproduced with a SVR using the model surface variables as input parameters. We then apply the SVR to reconstruct satellite Chl observations using the physical predictors from the above numerical model and show that the Chl reconstructed by this SVR more accurately reproduces some aspects of observed Chl variability and trends compared to the model simulation. This SVR is able to reproduce the main modes of interannual Chl variations depicted by satellite observations in most regions, including El Ni\u00f1o signature in the tropical Pacific and Indian Oceans. In stark contrast with the trends simulated by the biogeochemical model, it also accurately captures spatial patterns of Chl trends estimated by satellite data, with a Chl increase in most extratropical regions and a Chl decrease in the center of the subtropical gyres, although the amplitude of these trends are underestimated by half. Results from our SVR reconstruction over the entire period (1979\u20132010) also suggest that the Interdecadal Pacific Oscillation drives a significant part of decadal Chl variations in both the tropical Pacific and Indian Oceans. Overall, this study demonstrates that non-linear statistical reconstructions can be complementary tools to in situ and satellite observations as well as conventional physical-biogeochemical numerical simulations to reconstruct and investigate Chl decadal variability. - , - Refereed - , - 14 - , - Phytoplankton biomass and diversity - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1368", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1368", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1368", "url": "https:\/\/hdl.handle.net\/11329\/1368" }, "author": [ { "@type": "Person", "name": "Martinez, Elodie" }, { "@type": "Person", "name": "Gorgues, Thomas" }, { "@type": "Person", "name": "Lengaigne, Matthieu" }, { "@type": "Person", "name": "Fontana, Clement" }, { "@type": "Person", "name": "Sauz\u00e8de, Rapha\u00eblle" }, { "@type": "Person", "name": "Menkes, Christophe" }, { "@type": "Person", "name": "Uitz, Julia" }, { "@type": "Person", "name": "Di Lorenzo, Emanuele" }, { "@type": "Person", "name": "Fablet, Ronan" } ], "keywords": [ "Machine learning", "Phytoplankton variability", "Satellite ocean colour", "Decadal variability", "Global scale", "Chlorophyll a", "Surface concentration", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1255", "name": "ISO 19115 Geographic information \u2014 Metadata Workbook: Guide to Implementing ISO 19115:2003(E), the North American Profile (NAP), and ISO 19110 Feature Catalogue.", "description": " - This workbook is not intended to replace the ISO standards but is meant to act as an educational and implementational guide to be used in conjunction with ISO 19115 Geographic information \u2500 Metadata ISO 19115:2003(E). - , - https:\/\/www.ncddc.noaa.gov\/metadata-standards\/ - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1255", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1255", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1255", "url": "https:\/\/hdl.handle.net\/11329\/1255" }, "contributor": [ { "@type": "Organization", "name": "NOAA National Coastal Data Development Center" } ], "keywords": [ "International standards", "ISO 19115", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1026", "name": "Specifications for submarine cable and pipeline route investigation.", "description": " - The purpose of construction of submarine scientific observation network in the East China Sea from the seabed to the sea surface, is to deeply understand the material exchange process and mechanism between the Yangtze River estuary and the East China Sea under the influence of human activities and its eco-environmental effects, and study the formation mechanism, biogeochemical process and its impact on the ecological environment of the hypoxia zone in the East China Sea. From May to August, 2018, submarine cable route survey for this project was carried out in the East China Sea. The survey vessel used is the M.V.Heke 2. Survey contents include Bathymetric and topographic survey, seabed conditions, shallow geology, soil physical and mechanical properties, corrosive environmental parameters, marine hydrographic and meteorological elements and so on. Equipment and sensors, such as side scan sonar, sub-bottom profiler, magnetometer, sampler and CPT were employed in this survey. This survey finished 6500km geophysical survey lines, 103 stations of seabed sampling, 55 stations of in-situ test, 48 stations of marine hydrographic observation within 95 days. This work was completed under the guidance of the national standards of the People's Republic of China (GB\/T 17502-2009) \"Specifications for submarine cable and pipeline route investigation \". - , - Published - , - Emerging - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Manual (Guide etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1026", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1026", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1026", "url": "https:\/\/hdl.handle.net\/11329\/1026" }, "author": [ { "@type": "Person", "name": "Lai, Xianghua" }, { "@type": "Person", "name": "Zhang, Jibo" }, { "@type": "Person", "name": "Pan, Guofu" }, { "@type": "Person", "name": "Chen, Xiaoling" }, { "@type": "Person", "name": "Fu, Xiaoming" }, { "@type": "Person", "name": "Song, Sheng" }, { "@type": "Person", "name": "Hu, Taojun" }, { "@type": "Person", "name": "Li, Dong" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China" } ], "keywords": [ "Submarine cables" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1454", "name": "FLOWW Best Practice Guidance for Offshore Renewables Developments: Recommendations for Fisheries Liaison.", "description": " - The offshore renewables energy sector is developing rapidly to meet the future energy needs of the nation, reduce the nation\u2019s reliance on carbon based fuels and help secure security of supply. As the industry develops, it must continue to be aware of others who make the majority of their living from the sea, on both a local and national level. In 2007, FLOWW identified the need for best practice guidance to inform developers and the commercial fishing community on the need for effective communication at all stages in the development and operation of offshore renewable energy installations (OREI). The first \u201cFishing Liaison Best Practice guidance for offshore renewables developers\u201d was published in May 2008, when the offshore renewable energy industry was still in its infancy. In the following five years there has been continued growth in the offshore renewable energy industry, in part driven by European and domestic climate change legislation, and government renewable energy targets. As a result, FLOWW has agreed to revise and update the guidance. This guidance is intended for OREI developers and the commercial fishing industry, and draws on the extensive experience gained through the development of the first three offshore wind leasing rounds (Rounds 1, 2 and 3) and the construction and operation of the first two rounds, as well as the emerging wave and tidal sector. This guidance has been compiled in a spirit of co-operation, with the intention of forming the basis for long-term co-existence between both industries. Throughout the document, key messages have been highlighted in grey boxes. In developing OREIs, there is a need for effective liaison between both industries, in order to fully understand potential impacts, co-existence opportunities and displacement considerations, and guide appropriate mitigation responses. There is a responsibility on the fishing industry to provide accurate data and information to the developer, as well as working with the developer to properly minimise the impact on the fishing sector. In turn, developers will be responsible for keeping the fishing industry properly informed of activities from the start of the planning phase into the operation and maintenance of a fully working OREI. Both industries are committed to achieving co-existence; however, both also recognise that to achieve this they have to work closely together. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1454", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1454", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1454", "url": "https:\/\/hdl.handle.net\/11329\/1454" }, "contributor": [ { "@type": "Organization", "name": "The Crown Estate" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1156", "name": "DGIWG \u2013 Web Map Service 1.3 Profile \u2013 Revision. Version 2.0.", "description": " - This document defines specific DGIWG requirements, recommendations and guidelines for implementations of the ISO \/ OGC Web Map Service standard which is based on ISO 19128:2005 Web Map Server Interface \/ OpenGIS Web Map Server Implementation Specification 1.3.0. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1156", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1156", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1156", "url": "https:\/\/hdl.handle.net\/11329\/1156" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2622", "name": "Report on the advances in sound measurement methods. MINKE Deliverable D9.9. Version 1.0.", "description": " - This report (MINKE D9.9) explores the current challenges and advances in underwater sound measurement for environmental monitoring. It highlights the importance of accurate sound level measurements in marine environments and the gaps in standardisation, sensor calibration, and traceability. The deliverable focuses on the development of protocols for laboratory and field calibration of hydrophones, identification of key uncertainty sources, and alignment with international standards (IEC, ISO). It reviews emerging best practices for broadband and low-frequency measurements, including those for autonomous platforms. The report includes recommendations to improve sensor characterisation, signal processing, and metadata documentation, contributing to better quality assurance in underwater noise monitoring. - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Current - , - 14.a - , - Ocean sound - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2622", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2622", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2622", "url": "https:\/\/hdl.handle.net\/11329\/2622" }, "author": [ { "@type": "Person", "name": "Neves, Silvana" }, { "@type": "Person", "name": "Marrero, Samuel" }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Bozzano, Roberto" }, { "@type": "Person", "name": "Pensieri, Sara" }, { "@type": "Person", "name": "Bazile, Kinda" }, { "@type": "Person", "name": "Pihan - Le Bars, Helene" }, { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "Garcia, Albert" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Mihai Toma, Daniel" }, { "@type": "Person", "name": "Kiefer, Thorsten" }, { "@type": "Person", "name": "Flaeten, Jon" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Underwater sound", "Acoustics", "Data acquisition", "Data quality control", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1447", "name": "Recommendation on a free and open data access policy. JERICO-NEXT WP5- Data Management. Deliverable D5.1, Version 1.3.", "description": " - The main message of the JERICO-NEXT data policyisthat data produced within the project isfree and unrestricted with no charge for third parties. The JERICO-NEXT Data Policy provides recommendations on ownership, to which data these recommendations are applied, DOI, data citationand the main recommendations on data sharing and dissemination principles. Deliverable 5.1is embedded within Work Package 5 (Data management). One main objective of this Work Package is to provide procedures and methodologies to enable data collectedthrough the project to comply with international standards regarding their quality and metadata - , - Published - , - Contributors: A.Novellino; P. Fernandez - , - Refereed - , - Current - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1447", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1447", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1447", "url": "https:\/\/hdl.handle.net\/11329\/1447" }, "author": [ { "@type": "Person", "name": "Gorringe, Patrick" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Data policy", "Data sharing", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality management", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/574", "name": "Towing Basin Speed Verification of Acoustic Doppler Current Profiling Instruments.", "description": " - With new development in technologies, proliferation of manufacturers, and expanded applications of acoustic Doppler current profiling instruments, the need for proper sensor test procedures becomes increasingly important. This report documents a towing basin speed measurement verification procedure that NOS has adopted for the past decade and a summary of verification results of forty-one cases consisting of twenty-nine individual sensors. These sensors include fourteen RD Instruments acoustic Doppler current profiler (ADCP) units (seven 600 and seven 1200 KHz units) and fifteen SonTek acoustic Doppler profiler (ADP) units (three 500 and twelve 1500 KHz units). Some of these sensors were tested repeatedly on different dates prior to deployment. Tow carriage speeds varied from 5 cm\/s to 200 cm\/s and were used as references for comparison. The speed differences between sensor readings and carriage references are expressed in terms of mean, standard deviation, and percentage of reference speed. Overall, RDI ADCPs have smaller mean speed differences and standard deviations compared with SonTek ADPs of similar frequencies. There is a larger sensor-to-sensor variation among SonTek units, especially among the 500 KHz ADPs. Except for the SonTek 500 KHz units, the standard deviation and percentage error of the tested sensors were close to manufacturer\u2019s specifications. Small zero offsets, on the order of 1 cm\/s for ADCPs, 2 cm\/s for 1500 KHz ADPs, and 5 cm\/s for 500 KHz ADPs, were measured. The test results of both sensor types repeat well over time. To aid in the discussing of test procedure and results, a brief review of related ADCP and ADP design and operational parameters are also included in this report. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/574", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/574", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/574", "url": "https:\/\/hdl.handle.net\/11329\/574" }, "author": [ { "@type": "Person", "name": "Shih, H.H." }, { "@type": "Person", "name": "Sprenke, J." }, { "@type": "Person", "name": "Payton, C." }, { "@type": "Person", "name": "Mero, T." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "ADCP", "Acoustic Doppler Current Profiler (ADCP)", "Instrument Type Vocabulary::current profilers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2412", "name": "Uncertainties in Steric Sea Level Change Estimation During the Satellite Altimeter Era: Concepts and Practices.", "description": " - This article presents a review of current practice in estimating steric sea level change, focussed on the treatment of uncertainty. Steric sea level change is the contribution to the change in sea level arising from the dependence of density on temperature and salinity. It is a significant component of sea level rise and a reflection of changing ocean heat content. However, tracking these steric changes still remains a significant challenge for the scientific community. We review the importance of understanding the uncertainty in estimates of steric sea level change. Relevant concepts of uncertainty are discussed and illustrated with the example of observational uncertainty propagation from a single profile of temperature and salinity measurements to steric height. We summarise and discuss the recent literature on methodologies and techniques used to estimate steric sea level in the context of the treatment of uncertainty. Our conclusions are that progress in quantifying steric sea level uncertainty will benefit from: greater clarity and transparency in published discussions of uncertainty, including exploitation of international standards for quantifying and expressing uncertainty in measurement; and the development of community \u2018\u2018recipes\u2019\u2019 for quantifying the error covariances in observations and from sparse sampling and for estimating and propagating uncertainty across spatio-temporal scales. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2412", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2412", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2412", "url": "https:\/\/hdl.handle.net\/11329\/2412" }, "author": [ { "@type": "Person", "name": "MacIntosh, C. R." }, { "@type": "Person", "name": "Merchant, C. J." }, { "@type": "Person", "name": "Schuckmann, K. von" } ], "keywords": [ "In-situ observations", "Satellite altimetry", "Uncertainty", "Steric sea level", "Sea level", "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/705", "name": "Biological effects of contaminants: Paracentrotus lividus sea urchin embryo test with marine sediment elutriates.", "description": " - This ICES Techniques in Marine Environmental Sciences describes a sediment elutriate bioassay using embryos of the sea urchin Paracentrotus lividus, a species widely distributed in both Atlantic and European Mediterranean waters. The proposed method is directly applicable to other echinoid species used in ecotoxicology worldwide, such as the Strongylocentrotus and Arbacia genus. The bioassay endpoint is a quantitative, observer\u2010independent, automatically readable response. Statistical methods and assessment criteria to classify sediment samples according to their biological quality status are also included, consistent with the demands of the European Water Framework Directive. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/705", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/705", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/705", "url": "https:\/\/hdl.handle.net\/11329\/705" }, "author": [ { "@type": "Person", "name": "Beiras, Ricardo" }, { "@type": "Person", "name": "Dur\u00e1n, Iria" }, { "@type": "Person", "name": "Bellas, Juan" }, { "@type": "Person", "name": "S\u00e1nchez-Mar\u00edn, Paula" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1149", "name": "OGC Best Practice for using Web Map Services (WMS) with Ensembles of Forecast Data. Version 1.0.", "description": " - This document proposes a set of best practices and guidelines for implementing and using the Open Geospatial Consortium (OGC) Web Map Service (WMS) to serve maps which are members of an ensemble of maps, each of which is a valid possible alternative for the same time and location. In the meteorological and oceanographic communities, it is Best Practice to produce a large number of simultaneous forecasts, whether for a short range of hours, a few days, seasonal or climatological predictions. These ensembles of forecasts indicate the probability distributions of specific outcomes. This document describes how to unambiguously specify an individual member of an ensemble, or one of a limited set of map products derived from a full ensemble. In particular, clarifications and restrictions on the use of WMS are defined to allow unambiguous and safe interoperability between clients and servers, in the context of expert meteorological and oceanographic usage and non-expert usage in other communities. This Best Practice document applies specifically to WMS version 1.3, but many of the concepts and recommendations will be applicable to other versions of WMS or to other OGC services, such as the Web Coverage Service. - , - Published - , - This document defines an OGC Best Practice on a particular technology or approach related to an OGC standard. This document is not an OGC Standard and may not be referred to as an OGC Standard. It is subject to change without notice. However, this document is an official position of the OGC membership on this particular technology topic. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1149", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1149", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1149", "url": "https:\/\/hdl.handle.net\/11329\/1149" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/239", "name": "ICES Guidelines for Multibeam Echosounder data. (Compiled September 2006)", "description": " - If you are considering producing a hydrographic survey please read the following information first. Your survey could be used to compile new or updated nautical charts and so help i mprove safety for mariners.Your survey does not have to be carried out to full charting standards and all data collected is potentially of use. Even without a full search for dangers, a modern survey can improve on our knowledge of the seabed. Some advic e on how to help us to get the best out of your survey follows below. But even if you are unsure about these requirements, we would still like to receive a copy of your survey. It may reveal changes that should be shown on the chart as a \u201cless water report ed\u201d legend, and\/or may lead to a full survey being carried out. Hydrographic and bathymetric data centres such as the UK H ydrographic O ffice \u2019s (UKHO) Seabed Data Centre (S DC) (see Annex B for contact details ) are always happy to give help and advice on hy drographic data gathering requirements in order to increase the usefulness of hydrographic survey data. Just a few minor changes to how your data is gathered and presented can make it much more useful for charting and other purposes - , - Published - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/239", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/239", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/239", "url": "https:\/\/hdl.handle.net\/11329\/239" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Bathymetry", "Bottom topography", "Bathymetric survey", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::multi-beam echosounders", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1870", "name": "Good Practice Guide: Activity 1.3.", "description": " - The EXTRA-SMEs project aims to improve and adapt aquaculture business development strategies through reflection and analysis, share lessons learned from actual implementation, and implement large-scale, sustained and more effective interventions to raise sector\u2019s productivity and competitiveness, based on validated results and evidence. To accomplish this goal, EXTRA-SMEs\u2019 participating organisations are summoned to gather practical insights and share good practices on various aspects and dimensions of aquaculture business development strategies. A good practice is a process or methodology that has proven (through experience or research) to function well within a specific context (geographical or organisation settings), has succeeded in achieving its strategic and operational objectives, and therefore can be recommended as a reference model. It refers to a successful experience, which has been tested and validated in practice and demonstrate high transferability potential. Good practices need to be disseminated and widely adopted to benefit a greater number of people or\/and organisations. The essence of identifying and sharing good practices is to get inspiration and learn from others, who have already faced and successfully overcome similar challenges, and to encourage the application of existing knowledge and experience to new situations. A practice, characterised as \u201cgood\u201d should not be regarded as prescriptive or flawless, nor can it apply to all contexts and conditions. Instead, it needs to be adapted to the context to respond to site or organisation specific challenges. This Good Practice Guide (GPG) presents 15 good practices and cases on business strategies and interventions, which have positively contributed to raising the economic potential and supporting innovation and extraversion of the aquaculture sector across Europe, and hence can be used as reference models in similar endeavours. The Guide aspires to assist project partners and organisations working on economic potential deriving from aquaculture development in order to increase their efficiency by adopting tools (or components of them) which have proved to work well in similar contexts, capitalising on existing knowledge. Any interested bodies will be able to study how these (successful) practices and tools function and eventually take on those that suit better to the needs and features of their territories \u2013 in all cases localisation and adaptation to individual needs is required. The Guide is structured as follows. Section 1 describes the main categories of strategies and approaches to foster aquaculture development and extraversion in aquaculture SMEs, essentially raising the perceived economic potential of the sector as a whole in partners\u2019 regions and across the EU. Section 2 sketches the methodological framework upon the collection of practices by partners was realised. Section 3 outlines the approach employed for the identification of good practices, including a score table with evaluation results. Section 4 presents in details the most successful cases (as collected by project partners), showcasing the results and accomplishments achieved. Concluding remarks are finally provided summarising the most important elements of the best practices. - , - European Union; European Regional Development Fund - , - Published - , - Refereed - , - Current - , - 14.2 - , - N\/A - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1870", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1870", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1870", "url": "https:\/\/hdl.handle.net\/11329\/1870" }, "contributor": [ { "@type": "Organization", "name": "INTERREG Europe, Extra SMEs" } ], "keywords": [ "Aquaculture", "SME", "Business development", "INTERREG Europe", "Extra SMEs", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/890", "name": "Evolving and Sustaining Ocean Best Practices Workshop II, 04\u2013 06 December 2018, Intergovernmental Oceanographic Commission, Paris, France: Proceedings.", "description": " - It is important to appreciate that ocean observing is more than just taking observations at sea. Only by considering a need for observing and by making sure that information (including observations) can be merged into a product\/outcome is the ocean observing complete and meaningful. The new paradigms of the information age - onboard processors, large memories, artificial intelligence, access to the internet and ubiquitous cloud resources opened significant opportunities to access and use best practices. There have been many documents on the positive impacts of best practices. The discussion and report here will focus on what is being done and what should be done in the future. The first Ocean Best Practice Workshop (OBP Workshop I), IOC Paris, November 2017, brought together a community of experts from International agencies, Programs, Projects and other Organizations who participated in presentations and panel discussions and contributed significant recommendations for the implementation of a new Ocean Best Practice System (OBPS). At the Second Ocean Best Practices Workshop (OBP Workshop II), IOC Paris, December 2018 participants gathered to review the Ocean Best Practices System (OBPS) implementation which, after a year of intense development, now comprises: repository archive; sophisticated but user-friendly web interface; advanced technology including text mining and semantic tagging; peer-reviewed journal linked to the repository; a training component supported by the OceanTeacher Global Academy and a community forum. Ocean Best Practices Workshop II agenda included presentations, breakout sessions and panel discussions each with a main objective of reviewing and, providing recommendations for further near-term and long-term development of the OBPS. Community experts discussed the importance of ocean observing and provided (based on Best Practice examples from observing networks, regional observing systems and other groups) an overview of approaches that have been used, or are under design, to ensure a mature Best Practices framework for ocean observing activities. The two Breakout sessions, \u201cFraming the next generation of OBPS\u201d, addressed two aspects: community development around best practices; and technical implementation. These provided key guidance to the next steps. A summary of each presentation, panel discussion, and breakout session is provided in the workshop proceedings. Section 16 provides a full list of Workshop recommendations. A snapshot of some of the community recommendations include: \u2666 OBPS is finishing a development phase, but has more user-defined functionality to implement: community review platform; GOOS endorsement process; dashboards to support gap analysis; metrics visualization; integration of datasets; use of schema.org mapping to link to Google Data Search and much more. \u2666 The OBPS needs to focus on the vision and planning for the next UN Decade of Ocean Science by articulating a clearly defined short-term goal such as a one-stop-shop for each EOV and sensor and deployment mode. Use OceanObs19 to create a vision for the UN Decade of Ocean Science. \u2666 Sustainability to support the vision requires a trusted provenance (e.g. IOC-IODE-GOOS) and would include involving experts, and organizations. \u2666 Heighten the visibility of Ocean Best Practices System through, for example, building a strong communication and outreach campaign team targeting ocean observing regional groups \u2666 Expand capacity building including e-courses and Summer Schools should be a priority. \u2666 Success will need to be defined through metrics. Some metrics suggested include: research papers with best practices identified; number of citations; number of community likes (user feedback mechanism (number of stars); attach BP to data sets and then monitor uptake. - , - Published - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/890", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/890", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/890", "url": "https:\/\/hdl.handle.net\/11329\/890" }, "contributor": [ { "@type": "Organization", "name": "UNESCO\/IOC\/IODE for the AtlantOS\/ODIP\/OORCN Ocean Best Practices Working Group" } ], "keywords": [ "Best practices", "Atlantos", "ODIP", "Ocean Best Practices System", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2163", "name": "Best Practice Guidelines on Access and Benefit Sharing for EMBRC (Deliverable 3.1). Version 04.", "description": " - New legal frameworks related to the use of genetic material have been introduced to protect biodiversity and the sovereign rights of the countries over their natural resources and traditional knowledge (Convention on Biological Diversity - CBD). These new rules and regulations will help eradicate biopiracy on genetic resources, and ensure that any benefits derived from the utilization of national genetic material, is passed back to the country of origin (Nagoya Protocol). However, these new rules have imposed considerable legal and administrative burdens on scientists exploring the biodiversity, particularly in the academic sector. Moreover, these new rules complement those regulating the access to the sea under national jurisdiction (ie. United Nations Convention on the Law of the Sea in Exclusive Economic Zones) and protected areas (e.g. Antarctic Treaty System). One aim of the EMBRC preparatory phase 2 project is to facilitate access to and use of marine biological resources by ensuring EMBRC-users compliance to this framework in areas within and beyond national jurisdiction. To achieve this, Workpackage 3 (WP3) will prepare the ground for EMBRC culture collections (CCs) to be registered by the European Commission in the European Union Register of Collections and having practices of EMBRC service providers and its community of users recognized under the EU Access and Benefit Sharing (ABS) Regulation. This will greatly facilitate user access by facilitating the exercise of \u201cdue diligence\u201d of their lawful use of genetic resources provided by EMBRC. The Deliverable D3.1 presented herein is comprised of Best Practice Guidelines (BPG) for EMBRC culture collections (CCs) to comply with the applicable international framework for accessing and using marine bioresources (UN Convention on the Law of the Sea, Convention on Biological Diversity and its Nagoya Protocol on Access to Genetic Resources & Benefit Sharing, EU ABS regulation) for approval by the European Commission under the EU ABS Regulation (Regulation (EU) N\u00b0 511\/20141). - , - European Commision Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2163", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2163", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2163", "url": "https:\/\/hdl.handle.net\/11329\/2163" }, "author": [ { "@type": "Person", "name": "Manou, Dimitra" }, { "@type": "Person", "name": "Pade, Nicholas" }, { "@type": "Person", "name": "Kervella, Anne-Emmanuelle" } ], "contributor": [ { "@type": "Organization", "name": "European Marine Biological Resource Centre" } ], "keywords": [ "Genetic material", "Culture collections", "Legal regulations", "Nagoya Protocol", "Other biological measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1050", "name": "OpenGIS web services architecture description.", "description": " - This document describes many aspects of the OGC web services architecture, which the OGC is currently developing. This architecture is a service-oriented architecture, with all components providing one or more services to other services or to clients. Since that architecture is being developed largely informally, broad descriptions of that architecture have not been previously written. Because that architecture is not yet completed, some aspects are not described here, and other aspects may change in the future. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1050", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1050", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1050", "url": "https:\/\/hdl.handle.net\/11329\/1050" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Open Web Service", "OpenGIS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/669", "name": "Biological effects of contaminants: use of liver pathology of the European flatfish dab (Limanda limanda L.) and flounder (Platichthys flesus L.) for monitoring.", "description": " - publication provides quality assurance guidelines for the use of liver pathology of flatfish in biological effects of contaminants monitoring programmes. Information on the sampling procedures, including macroscopic examination, and minimum numbers and size categories of fish required to provide statistical rigour, is included. Details for laboratory processing and staining methods for histological assessment are also given, including protocols for resin embedding. Criteria for the histopathological diagnosis of liver sections are provided under categories on \u201cearly non-neoplastic toxicopathic lesions\u201d, \u201cfoci of cellular alteration\u201d, \u201cbenign neoplasms\u201d, and \u201cmalignant neoplasms\u201d, and descriptions of the normal appearance of liver tissue from dab (Limanda limanda) and flounder (Platichthys flesus) are included. More specific criteria are given for the different lesion types occurring in each of these categories. Each lesion type is represented by one or more colour micrographs taken from haematoxylin and eosinstained sections to depict the key features. A diagnostic key for nodular hepatocellular lesions is included and sections on quality assurance, data treatment, and data submission are also provided. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/669", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/669", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/669", "url": "https:\/\/hdl.handle.net\/11329\/669" }, "author": [ { "@type": "Person", "name": "Feist, S.W." }, { "@type": "Person", "name": "Lang, T." }, { "@type": "Person", "name": "Stentiford, G.D." }, { "@type": "Person", "name": "K\u00f6hler, A." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Biological effects", "Liver", "Flatfish", "Limanda limanda", "Dab", "Platichthys flesus", "Flounder", "Histopathology", "Quality assurance", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1726", "name": "Publishing DNA-derived data through biodiversity data platforms. version 1.0.", "description": " - When genetic information is used to describe or classify a taxon, most users will foresee its use in the context of molecular ecology or phylogenetic research. It is important to realize that a sequence with coordinates and a timestamp is a valuable biodiversity occurrence which is useful in a much broader context than its original purpose. To realize this potential, DNA-derived data needs to be discoverable through biodiversity data platforms. This guide will teach you the principles and approaches of exposing \u201csequences with dates and coordinates\u201d in the context of broader biodiversity data. The guide covers choices of particular schemas and terms, common pitfalls and good practice, without going into platform-specific details. It will benefit anyone interested in better exposure of DNA-derived data through general biodiversity data platforms, including national biodiversity portals. - , - Published - , - Valuable discussions with members of ELIXIR, iBOL, GGBN, GLOMICON, and OBIS networks contributed to compilation of this draft. We are especially grateful for inputs and encouragement from Kessy Abarenkov, Andrew Bentley, Matt Blissett, Pier Luigi Buttigieg, Kyle Copas, Camila A. Plata Corredor, Gabriele Dr\u00f6ge, Torbj\u00f8rn Ekrem, Tobias Guldberg Fr\u00f8slev, Birgit Gemeinholzer, Quentin Groom, Tim Hirsch, Donald Hobern, Hamish Holewa, Corinne Martin, Raissa Meyer, Chris Mungall, Daniel Noesgaard, Corinna Paeper, Pieter Provoost, Tim Robertson, Saara Suominen, Maxime Sweetlove, Andrew Young, John Waller, Ramona Walls, John Wieczorek, Lucie Zinger who have contributed to the GBIF community review process. - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Genetic composition - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1726", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1726", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1726", "url": "https:\/\/hdl.handle.net\/11329\/1726" }, "author": [ { "@type": "Person", "name": "Andersson, A.F." }, { "@type": "Person", "name": "Bissett, A." }, { "@type": "Person", "name": "Finstad, A.G." }, { "@type": "Person", "name": "Foss\u00f8y, F." }, { "@type": "Person", "name": "Grosjean, M." }, { "@type": "Person", "name": "Hope, M." }, { "@type": "Person", "name": "Jeppesen, T.S." }, { "@type": "Person", "name": "K\u00f5ljalg, U." }, { "@type": "Person", "name": "Lundin, D." }, { "@type": "Person", "name": "Nilsson, R.N." }, { "@type": "Person", "name": "Prager, M." }, { "@type": "Person", "name": "Svenningsen, C." }, { "@type": "Person", "name": "Schigel, D." } ], "contributor": [ { "@type": "Organization", "name": "GBIF Secretariat" } ], "keywords": [ "DNA", "Biodiversity data", "Biota abundance, biomass and diversity", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/592", "name": "Manual of Harmonic Analysis and Prediction of Tides. [ Revised 1940 edition reprinted 1958 with corrections, reprinted 2001]", "description": " - This volume was designed primarily as a working manual for the United States Coast and Geodetic Survey and describes the procedure used in this office for the harmonic analysis and prediction of tides and tidal currents... - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/592", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/592", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/592", "url": "https:\/\/hdl.handle.net\/11329\/592" }, "author": [ { "@type": "Person", "name": "Schureman, Paul" } ], "contributor": [ { "@type": "Organization", "name": "United States Government Printing Office" } ], "keywords": [ "Tidal analysis", "Tidal currents", "Harmonic analysis", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/417", "name": "SCOR WG 142: Quality Control Procedures for Oxygen and Other Biogeochemical Sensors on Floats and Gliders. Recommendations on the conversion between oxygen quantities for Bio-Argo floats and other autonomous sensor platforms. Version 1.1", "description": " - As Argo has entered its second decade and chemical\/biological sensor technology is improving constantly, the marine biogeochemistry community is starting to embrace the successful Argo float program. An augmentation of the global float observatory, however, has to follow rather stringent constraints regarding sensor characteristics as well as data processing and quality control routines. Owing to the fairly advanced state of oxygen sensor technology and the high scientific value of oceanic oxygen measurements (Gruber et al., 2010), an expansion of the Argo core mission to routine oxygen measurements is perhaps the most mature and promising candidate (Freeland et al., 2010). In this context, SCOR Working Group 142 \u201cQuality Control Procedures for Oxygen and Other Biogeochemical Sensors on Floats and Gliders\u201d (www.scor-int.org\/SCOR_WGs_WG142.htm) set out in 2014 to assess the current status of biogeochemical sensor technology with particular emphasis on float-readiness, develop pre- and post-deployment quality control metrics and procedures for oxygen sensors, and to disseminate procedures widely to ensure rapid adoption in the community. - , - Published - , - Previous version 2015 - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/417", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/417", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/417", "url": "https:\/\/hdl.handle.net\/11329\/417" }, "author": [ { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" }, { "@type": "Person", "name": "Johnson, Ken" }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "Emerson, Steve" }, { "@type": "Person", "name": "Fennel, Katja" }, { "@type": "Person", "name": "Garcia, Hernan" }, { "@type": "Person", "name": "Gilbert, Denis" }, { "@type": "Person", "name": "Gruber, Nicolas" }, { "@type": "Person", "name": "Kang, Dong-Jin" }, { "@type": "Person", "name": "Naqvi, Wajih" }, { "@type": "Person", "name": "Prakash, Satya" }, { "@type": "Person", "name": "Riser, Steven" }, { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "Uchida, Hiroshi" }, { "@type": "Person", "name": "Ulloa, Osvaldo" }, { "@type": "Person", "name": "Xing, Xiaogang" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer" } ], "keywords": [ "Argo floats", "Bio-Argo", "Oxygen", "Optode", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::dissolved gas sensors", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1411", "name": "8th EGO Meeting & International Glider Workshop Meeting Summary.", "description": " - The goal of the 8th EGO Meeting and International Glider Workshop, held May 21-23, 2019, was to strengthen international collaboration through community dialogue, exchanges of information, sharing of experiences, and development of best practices to support the glider community - , - Published - , - Current - , - 14 - , - TRL 1 Basic principles observed and reported - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1411", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1411", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1411", "url": "https:\/\/hdl.handle.net\/11329\/1411" }, "author": [ { "@type": "Person", "name": "LaCour, Benjamin" }, { "@type": "Person", "name": "George, Andrew" }, { "@type": "Person", "name": "Landeen, Emily" }, { "@type": "Person", "name": "Wallace, Emily" }, { "@type": "Person", "name": "Rome, Nicholas" }, { "@type": "Person", "name": "deYoung, Brad" }, { "@type": "Person", "name": "Howden, Stephan" }, { "@type": "Person", "name": "Desai, Kruti" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Integrated Ocean Observing System" } ], "keywords": [ "Gliders", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1135", "name": "OpenGIS\u00ae Web Map Server Implementation Specification. Version 1.3.0.", "description": " - This International Standard specifies the behaviour of a service that produces spatially referenced maps dynamically from geographic information. It specifies operations to retrieve a description of the maps offered by a server to retrieve a map, and to query a server about features displayed on a map. This International Standard is applicable to pictorial renderings of maps in a graphical format; it is not applicable to retrieval of actual feature data or coverage data values. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1135", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1135", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1135", "url": "https:\/\/hdl.handle.net\/11329\/1135" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Implementation Specification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2566", "name": "Darwin Core.", "description": " - Darwin Core is a standard maintained by the Darwin Core maintenance group. It includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. Darwin Core is primarily based on taxa, their occurrence in nature as documented by observations, specimens, samples, and related information. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2566", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2566", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2566", "url": "https:\/\/hdl.handle.net\/11329\/2566" }, "contributor": [ { "@type": "Organization", "name": "Biodiversity Information Standards (TDWG)" } ], "keywords": [ "Standard", "Biodiversity data", "Glossary", "Biological oceanography", "Metadata management", "Ontology development", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1691", "name": "Compilation of spatial data on marine recreation activities: Phase 2 Mapping marine recreation guidance: How to supply spatial data.", "description": " - This zip file contains a Marine Management Organisation (MMO) data guideline in two formats: a pdf file and an xls spreadsheet. The files contain identical information, but both formats are provided to meet different users\u2019 needs. This guidance was developed in conjunction with the Marine Environmental Data and Information Network (MEDIN). MEDIN data guidelines have traditionally been developed to address data storage and management of scientific information about the marine environment, typically survey data. Whilst MEDIN has recently adapted to address socio-economic data, this requires a slightly different approach to formal MEDIN data guidelines. Providing the information requested in the accompanying spreadsheet will ensure your data contains all the relevant information to make it reusable in the future. Such data is considered to comply with MEDIN data guidelines. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1691", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1691", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1691", "url": "https:\/\/hdl.handle.net\/11329\/1691" }, "contributor": [ { "@type": "Organization", "name": "Marine Management Organization" } ], "keywords": [ "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1275", "name": "Best Practices for Shipboard Underway Transmissometers. Version 1.", "description": " - This best practice document was developed under the Rolling Deck to Repository project by a small working group comprised of the document authors. These recommendations are specifically for transmissometers installed within a research vessel\u2019s (RVs) scientific flow-through sea water (underway) system. They are not focused on transmissometers used for CTD\/Rosette casts, though some information may be applicable. All underway transmissometers in the academic research fleet presently are WET Labs (henceforth Sea-Bird) C-Stars. Review of available sensors shows this will continue to be the most available and adaptive device. The Goal of this document is to provide best practices for operators that will improve access to transmissometer data and metadata to support routine data quality evaluation and science application. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1275", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1275", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1275", "url": "https:\/\/hdl.handle.net\/11329\/1275" }, "author": [ { "@type": "Person", "name": "Smith, Shawn R." }, { "@type": "Person", "name": "Forcucci, Dave" }, { "@type": "Person", "name": "Goes, Joaquim" }, { "@type": "Person", "name": "Hudak, Rebecca" }, { "@type": "Person", "name": "Mishonov, Alexey" }, { "@type": "Person", "name": "Stolp, Laura" }, { "@type": "Person", "name": "Watkins-Brandt, Katie" } ], "contributor": [ { "@type": "Organization", "name": "Florida State University, Center for Ocean-Atmospheric Prediction Studies" } ], "keywords": [ "Shipboard underway transmissometers", "R2R", "Transmissometer", "Research Vessels", "WetLabs C-Star", "Transmittence Ratio", "Beam Attenuation", "Cleaning", "Calibration", "Installation", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::transmissometers", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/634", "name": "Tidal current analysis procedures and associated computer programs.", "description": " - The National Ocean Service (NOS) has been charged with producing tidal current tables for the coastal areas of the United States. Tidal currents are almost always the strongest current experienced by vessels operating offshore and for cons iderable distances inside of bays and river estuaries. Tidal currents are usually fastest where water level fluctuations on wide continental shelfs are amplified as they approach the coast and water is forced through a narrow constricted channel into a large bay or estuary. Knowledge of the timing and strength of tidal currents is extremely important for safe navigation in coastal waters. Mariners are primarily interested in the timing and strength of four phases of the tidal current cycle which are printed in the NOS Tidal Current Tables. These phases are slack before flood (SBF), maximum flood current (MFC), slack before ebb (SBE), and maximum ebb current (MEC). Two other phases are also included in the NOS Tidal Current Tables. These are minimum currents between two successive maximum currents in the same direction and are known as slack flood current (SFC) and slack ebb current (SEC). Although a standardized procedure has developed for analyzing water level data to obtain the parameters required to produce the NOS Tide Tables, there has not been such a procedure developed for tidal currents. This publication se ts forth a suggested step-by-step procedure to follow for obtaining the parameters needed to produce the NOS Tidal Current Tables. This is followed by detailed explanations of each of the computer programs used. These sections are designed to be stand-alone user\u2019s guides for each of the programs, giving a complete explanation of how the calculations are carried out, options to be set by the user, and sample input and output files. Table A indicates the inputs and outputs for the major programs used in the analysis of tidal currents. All the programs are written in FORTRAN. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/634", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/634", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/634", "url": "https:\/\/hdl.handle.net\/11329\/634" }, "author": [ { "@type": "Person", "name": "Zervas, Chris" } ], "contributor": [ { "@type": "Organization", "name": "NOAA NOS Center For Operational Oceanographic Products and Services Products and Services" } ], "keywords": [ "Tidal currents", "Tidal prediction", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/611", "name": "Statement of guidance for ocean applications.", "description": " - This Statement of Guidance (SoG) was developed, through a process of consultation, to document observational data requirements for ocean applications and the present\/planned observing capabilities. This version is based on the JCOMM User Requirement Document, which was prepared by the Chairpersons of the Expert Teams within the JCOMM Services Programme Area. It is expected that the Statement will be reviewed at appropriate intervals by the JCOMM Services Programme Area Coordination Group to ensure that it remains consistent with the current state of the relevant science and technology. This document therefore presents an analysis of the gap between user requirements and the available\/planned observation capabilities to address these requirements. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface height - , - Sea surface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Subsurface temperature - , - Ocean surface heat flux - , - Nutrients - , - Surface currents - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/611", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/611", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/611", "url": "https:\/\/hdl.handle.net\/11329\/611" }, "author": [ { "@type": "Person", "name": "Liu, Guimei" } ], "contributor": [ { "@type": "Organization", "name": "National Marine Environmental Forecasting Center (NMEFC) for WMO-JCOMM" } ], "keywords": [ "Ocean observation", "Chlorophyll", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1890", "name": "Convention-wide Practices and Procedures in relation to marine dumped chemical weapons and munitions (2004 Update).", "description": " - As part of a broader overview of the issue of dumped conventional and chemical munitions in the OSPAR area, in response to a request by OSPAR (OSPAR 00\/20\/1, \u00a710.15), Ireland has prepared the following assessment of the practices and procedures of Contracting Parties in relation to marine dumped chemical weapons and munitions. In order to collate the relevant information to complete this task, a questionnaire (attached as Appendix I) was circulated to Contracting Parties to gather information on the following three key topics: a. Reporting, Recording and Assessment of Encounters with Marine Dumped Conventional and Chemical Munitions; b. Guidelines for Fishermen and Other Users of the Sea and its Coastline; and c. Surveillance and Management Practices. - , - OSPAR - , - Published - , - Current - , - 14.1 - , - N\/A - , - National - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1890", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1890", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1890", "url": "https:\/\/hdl.handle.net\/11329\/1890" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Munitions", "Dumping", "Weapons", "Chemical weapons", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1220", "name": "A Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water.", "description": " - This paper reviews the state of the art of protocols for the measurement of downwelling irradiance in the context of Fiducial Reference Measurements (FRM) of water reflectance for satellite validation. The measurement of water reflectance requires the measurement of water-leaving radiance and downwelling irradiance just above water. For the latter, there are four generic families of method, using: (1) an above-water upward-pointing irradiance sensor; (2) an above-water downward-pointing radiance sensor and a reflective plaque; (3) a Sun-pointing radiance sensor (sunphotometer); or (4) an underwater upward-pointing irradiance sensor deployed at di erent depths. Each method\u2014except for the fourth, which is considered obsolete for the measurement of above-water downwelling irradiance\u2014is described generically in the FRM context with reference to the measurement equation, documented implementations, and the intra-method diversity of deployment platform and practice. Ideal measurement conditions are stated, practical recommendations are provided on best practice, and guidelines for estimating the measurement uncertainty are provided for each protocol-related component of the measurement uncertainty budget. The state of the art for the measurement of downwelling irradiance is summarized, future perspectives are outlined, and key debates such as the use of reflectance plaques with calibrated or uncalibrated radiometers are presented. This review is based on the practice and studies of the aquatic optics community and the validation of water reflectance, but is also relevant to land radiation monitoring and the validation of satellite-derived land surface reflectance. - , - Refereed - , - 14.a - , - Ocean colour - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1220", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1220", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1220", "url": "https:\/\/hdl.handle.net\/11329\/1220" }, "author": [ { "@type": "Person", "name": "Ruddick, Kevin G." }, { "@type": "Person", "name": "Voss, Kenneth" }, { "@type": "Person", "name": "Banks, Andrew C." }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Castagna, Alexandre" }, { "@type": "Person", "name": "Frouin, Robert" }, { "@type": "Person", "name": "Hieronymi, Martin" }, { "@type": "Person", "name": "Jamet, Cedric" }, { "@type": "Person", "name": "Johnson, B. Carol" }, { "@type": "Person", "name": "Kuusk, Joel" }, { "@type": "Person", "name": "Lee, Zhongping" }, { "@type": "Person", "name": "Ondrusek, Michael" }, { "@type": "Person", "name": "Vabson, Viktor" }, { "@type": "Person", "name": "Vendt, Riho" } ], "keywords": [ "Irradiance sensor", "Radiance sensor", "Water reflectance", "Fiducial Reference Measurements (FRM)", "Downwelling irradiance", "Satellite validation", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/957", "name": "Evolving and Sustaining Ocean Best Practices and Standards for the Next Decade.", "description": " - The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet\u2019s ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean community and, where appropriate, should evolve into \u201cOcean Best Practices.\u201d While many groups have created best practices, they are scattered across the Web or buried in local repositories and many have yet to be digitized. To reduce this fragmentation, we introduce a new open access, permanent, digital repository of best practices documentation (oceanbestpractices.org) that is part of the Ocean Best Practices System (OBPS). The new OBPS provides an opportunity space for the centralized and coordinated improvement of ocean observing methods. The OBPS repository employs user-friendly software to significantly improve discovery and access to methods. The software includes advanced semantic technologies for search capabilities to enhance repository operations. In addition to the repository, the OBPS also includes a peer reviewed journal research topic, a forum for community discussion and a training activity for use of best practices. Together, these components serve to realize a core objective of the OBPS, which is to enable the ocean community to create superior methods for every activity in ocean observing from research to operations to applications that are agreed upon and broadly adopted across communities. Using selected ocean observing examples, we show how the OBPS supports this objective. This paper lays out a future vision of ocean best practices and how OBPS will contribute to improving ocean observing in the decade to come. - , - Refereed - , - Guide - , - 2018-10-31 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/957", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/957", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/957", "url": "https:\/\/hdl.handle.net\/11329\/957" }, "author": [ { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Pearlman, Francoise" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Barbier, Michele" }, { "@type": "Person", "name": "Muller-Karger, Frank E." }, { "@type": "Person", "name": "Munoz-Mas, Cristian" }, { "@type": "Person", "name": "Pissierssens, Peter" }, { "@type": "Person", "name": "Chandler, Cyndy" }, { "@type": "Person", "name": "Hermes, Juliet" }, { "@type": "Person", "name": "Heslop, Emma" }, { "@type": "Person", "name": "Jenkyns, Reyna" }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Bensi, Manuel" }, { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "Blandin, Jerome" }, { "@type": "Person", "name": "Bosch, Julie" }, { "@type": "Person", "name": "Bourles, Bernard" }, { "@type": "Person", "name": "Bozzano, Roberto" }, { "@type": "Person", "name": "Buck, Justin J. H." }, { "@type": "Person", "name": "Burger, Eugene F." }, { "@type": "Person", "name": "Cano, Daniel" }, { "@type": "Person", "name": "Cardin, Vanessa" }, { "@type": "Person", "name": "Charcos Llorens, Miguel" }, { "@type": "Person", "name": "Cianca, Andr\u00e9s" }, { "@type": "Person", "name": "Chen, Hua" }, { "@type": "Person", "name": "Cusack, Caroline" }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Garello, Rene" }, { "@type": "Person", "name": "Giovanetti, Gabriele" }, { "@type": "Person", "name": "Harscoat, Valerie" }, { "@type": "Person", "name": "Hartman, Susan" }, { "@type": "Person", "name": "Heitsenrether, Robert" }, { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Lant\u00e9ri, Nadine" }, { "@type": "Person", "name": "Leadbetter, Adam" }, { "@type": "Person", "name": "Manzella, Giuseppe" }, { "@type": "Person", "name": "Maso, Joan" }, { "@type": "Person", "name": "McCurdy, Andrea" }, { "@type": "Person", "name": "Moussat, Eric" }, { "@type": "Person", "name": "Ntoumas, Manolis" }, { "@type": "Person", "name": "Pensieri, Sara" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Pinardi, Nadia" }, { "@type": "Person", "name": "Pouliquen, Sylvie" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Roden, Nicholas P." }, { "@type": "Person", "name": "Silke, Joe" }, { "@type": "Person", "name": "Tamburri, Mario N." }, { "@type": "Person", "name": "Tang, Hairong" }, { "@type": "Person", "name": "Tanhua, Toste" }, { "@type": "Person", "name": "Telszewski, Maciej" }, { "@type": "Person", "name": "Testor, Pierre" }, { "@type": "Person", "name": "Thomas, Julie" }, { "@type": "Person", "name": "Whoriskey, Fred" } ], "keywords": [ "Best practices", "Sustainability", "Interoperability", "Digital repository", "Peer review", "Ocean observation", "Ontologies", "Methodologies", "Ocean observing", "Forward look", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1748", "name": "ORION Open Science checklist.", "description": " - The checklist is intended as a prompt for researchers who wish to make practical changes in order to make their science more open. The checklist is divided into 3 major areas: before, during, and after a research project. Each area includes questions as to whether the researcher has taken steps to make their research more open e.g. published a pre-print included a lay summary. The checklist can by researchers of all levels and can be distributed at workshops or conferences as an activity or as a way of trying to inspire future action. - , - European Union Horizon 2020 - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1748", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1748", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1748", "url": "https:\/\/hdl.handle.net\/11329\/1748" }, "contributor": [ { "@type": "Organization", "name": "ORION: Open Responsible research and Innovation to further Outstanding kNowledge" } ], "keywords": [ "Open science", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1853", "name": "The Oceanic Optics Book", "description": " - This book is a community resource on ocean optics. The development of the general theory requires many different concepts: radiometric variables, inherent optical properties (IOPs), apparent optical properties (AOPs), and the mathematical relations connecting them. The radiometric variables are various measures of the light itself (how much light energy is present, what direction it is traveling, what wavelengths are present). The IOPs describe the optical properties of the medium through which the light propagates. In particular, IOPs describe how light is absorbed (light energy is converted to other forms, such as heat or the energy in a chemical bond) and scattered (how it changes direction and, perhaps, wavelength) when it interacts with the medium. The equations of radiative transfer theory connect the various pieces and enable the prediction of light propagation through a medium given the properties of the medium and the light incident onto the medium. The various chapters of the book discuss applications of the basic concepts to problems such as remote sensing of the oceans from satellites or the prediction of underwater visibility. The 16 chapters develop the standard material of optical oceanography and remote sensing of the oceans at visible wavelengths: radiometry, inherent and apparent optical properties, absorption, elastic and inelastic scattering, the optical properties of sea water constituents and of surfaces, radiative transfer and electromagnetic theory, remote sensing and the associated atmospheric correction, and visibility. The 7 appendices contain more advanced and more mathematical topics . - , - Published - , - Contributing authors: Ziauddin Ahmad, David Antoine, Sean Bailey, Paul Bissett, Emmanuel Boss, David Bowers, Ivona Cetinic, Bryan Franz, Howard Gordon, Nils Ha entjens, Victoria Hill, Curtis Mobley, Bryan Monosmith, Collin Roesler, Kenneth Voss, Jeremy Werdell, Xiaodong Zhang, Richard Zimmerman, - , - Current - , - Ocean colour - , - Best Practice - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1853", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1853", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1853", "url": "https:\/\/hdl.handle.net\/11329\/1853" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "IOPs", "AOPs", "Absorption", "Scattering", "Remote sensing", "Physical oceanography", "Radiometers", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/936", "name": "Scanning Electron Microscopy imaging for Opaline Silica Single Cell Skeletons (Polycystines Radiolaria). Version 3.", "description": " - Protocol adapted from: Biard, T., Pillet, L., Decelle, J., Poirier, C., Suzuki, N. and Not, F. (2015) Towards an Integrative Morpho-molecular Classification of the Collodaria (Polycystinea, Radiolaria). Protist 166, pp.374\u2013388. doi:10.1016\/j.protis.2015.05.002 - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/936", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/936", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/936", "url": "https:\/\/hdl.handle.net\/11329\/936" }, "author": [ { "@type": "Person", "name": "Sandin, Miguel Mendez" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements", "Instrument Type Vocabulary::electron microscopes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/806", "name": "Appendix 1. Algal species potentially harmful to desalinitation operations.", "description": " - It is now well established that harmful algal blooms (HABs) represent a serious and growing threat to seawater reverse osmosis (SWRO) desalination plants worldwide. In many plants, these threats are indirectly monitored using parameters such as the Silt Density Index (SDI) or chlorophyll-a (see Chapter 5), but these only provide a general indication of the particulate fouling propensity of the water or the abundance of phytoplankton, respectively. Although it is often a challenge to obtain data on the phytoplankton species composition and abundance in the raw seawater, such information can be of great value in the long-term operation of desalination plants. Individual algal species vary dramatically in their properties and therefore in the extent to which they can disrupt plant operations (e. g., through the production of toxins that represent a potential threat to the safety of the drinking water produced, or organic matter that can clog filters and foul membranes). As a result, it is important for a desalination plant to make (and record) species identifications, and the concentrations of those species that are in the source seawater, particularly those that have disrupted normal plant operations. As described in Chapter 3, monitoring programs for seawater outside a plant and process monitoring at the plant can provide this type of information. Identification of the algal species in seawater samples can be a challenge however. In Chapter 3, methods for sample collection, fixation, and identification are presented. Section 3.6.1.1 lists books that provide useful taxonomic information on marine HAB species, while section 3.6.1.2 lists websites where taxonomic information on algal species can be found. To augment this information and to provide a quick resource for operators or managers who need identification assistance, this appendix presents brief descriptions and a photograph of some algal species that either have caused problems at desalination plants, that produce potent toxins, or that are known to produce sufficient organic matter or biomass to be problematic. The list of species covered here is not comprehensive, as this is not intended to be an operator\u2019s sole source of taxonomic information. Instead, it is offered as a quick reference guide. For example, there are more than 30 species in the Alexandrium genus, and about half of those are toxic, but only three are described here. Readers are urged to refer to the many other resources that provide more detailed descriptions and photographs. In this manual, we define toxic algae as those that produce potent toxins (i.e., poisonous substances produced within living cells or organisms), e.g., saxitoxin. These can cause illness or mortality in humans as well as marine life through either direct exposure to the toxin or ingestion of bioaccumulated toxin in higher trophic levels e.g. shellfish. Confusion arises, however, because non-toxic HABs can also result in mass mortalities of fish and other marine life. In this instance, the mortality results from the indirect effect of compounds produced by the algae - compounds that do not have specific targets or receptors, but instead are more general in their mechanism of damage, sometimes requiring chemical modifications by other compounds to become lethal. Examples of \u201charmful\u201d but not \u201ctoxic\u201d substances are reactive oxygen species that, when combined with polyunsaturated fatty acids, can rapidly kill fish and other animals. Another example is a proteinaceous compound produced by Akashiwo sanguinea that accumulates on bird feathers, causing a loss in natural water repellency and widespread mortality of affected animals. In this appendix, species that do not produce toxins but that do cause marine mortalities are termed \u201charmful\u201d. - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/806", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/806", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/806", "url": "https:\/\/hdl.handle.net\/11329\/806" }, "author": [ { "@type": "Person", "name": "Borkman, David G." }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Reverse osmosis", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1777", "name": "National Inuit Strategy on Research.", "description": " - Strong public policies, informed by the best available evidence, can support optimal outcomes for Inuit that in turn benefit all Canadians. However, colonial approaches to research endure in Canada that prevent Inuit from making decisions about research activity in our homeland, such as setting the research agenda, monitoring compliance with guidelines for ethical research, and determining how data and information about our people, wildlife, and environment is collected, stored, used, and shared. In this time of reconciliation, research governance bodies, policies, and practices must be transformed to respect Inuit self-determination in Inuit Nunangat research. Advancing Inuit governance in research is imperative for enhancing the efficacy, impact, and usefulness of research for Inuit. This requires governments and research institutions to partner with Inuit representational organizations to implement engagement processes that respect the role of Inuit in decision-making when it comes to research involving our people, wildlife, and environment. This must occur at the regional, national, and international levels of Inuit governance. Since the 1990s, the Government of Canada has allocated hundreds of millions of dollars for research taking place in Inuit Nunangat, which is the Inuit-preferred name of the geographic, political, and cultural region whose various descriptions include \u201cthe Arctic\u201d, \u201cNorth\u201d, and \u201cNorth of 60\u201d \u2013 none of which accurately encapsulate the Inuit homeland. The current investments in Inuit Nunangat research reflect a biological-physical science research bias that diminishes the prominence and attention given to other Inuit research priorities, such as health and social science. Moreover, federal research funding eligibility criteria tend to exclude Inuit representational organizations from accessing funding as lead institutions or principal investigators. This coupled with the absence of a university in Inuit Nunangat contributes to the continued domination of Inuit Nunangat research by non-Inuit researchers based outside of Inuit Nunangat. The purpose of the NISR is to address these challenges through coordinated actions that enhance the efficacy, impact, and usefulness of Inuit Nunangat research for Inuit. The NISR is domestic in scope yet it also acknowledges the international dimension of research on Inuit Nunangat. The objectives and actions that ITK is committed to implementing in partnership with Inuit representational organizations, governments, and research institutions, fall within five priority areas: 1) Advance Inuit governance in research; 2) Enhance the ethical conduct of research; 3) Align funding with Inuit research priorities; 4) Ensure Inuit access, ownership, and control over data and information; and 5) Build capacity in Inuit Nunangat research. The interrelated, interdependent nature of these priority areas requires a holistic, coordinated approach to implementing actions and evaluating progress. The NISR is intended to reach the stakeholders, such as governments, academia, and other research institutions, involved in Inuit Nunangat research. Inuit have brokered positive, mutually beneficial relationships with researchers and are also undertaking research ourselves. There is growing recognition within the research community about the partnership role that Inuit must play in Inuit Nunangat research. At the same time, important transformations must occur at the policy level for Inuit to achieve self-determination in research. Through the NISR, ITK will build on these advances, utilize existing governance processes and broker new partnerships to meet the needs of Inuit in research. - , - Published - , - Current - , - N\/A - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1777", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1777", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1777", "url": "https:\/\/hdl.handle.net\/11329\/1777" }, "contributor": [ { "@type": "Organization", "name": "Inuit Tapiriit Kanatami," } ], "keywords": [ "Inuit", "Indigenous communites", "Traditional knowledge", "Self determination", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/483", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 5. Volume V: Biogeochemical and Bio-Optical Measurements and Data Analysis Protocols.", "description": " - Volume V: The overview chapter (Chapter 1) briefly reviews biogeochemical and bio-optical measurements, and points to literature covering methods for measuring these variables; some of the material in this overview is drawn from Chapter 9 of Revision 3. Detailed protocols for HPLC measurement of phytoplankton pigment concentrations are given in Chapter 2, which differs from Chapter 16 of Revision 3 only by its specification of a new solvent program. Chapter 3 gives protocols for Fluorometric measurement of chlorophyll a concentration, and is not significantly changed from Chapter 17of Revision 3. New chapters covering protocols for measuring, Phycoerythrin concentrations, Particle Size Distribution (PSD) and Particulate Organic Carbon (POC) concentrations are likely future additions to this volume. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/483", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/483", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/483", "url": "https:\/\/hdl.handle.net\/11329\/483" }, "author": [ { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Bidigare, R. R." }, { "@type": "Person", "name": "Trees, C." }, { "@type": "Person", "name": "Balch, W. M." }, { "@type": "Person", "name": "Dore, J." }, { "@type": "Person", "name": "Drapeau, D. T." }, { "@type": "Person", "name": "Karl, D." }, { "@type": "Person", "name": "Van Heukelem, L." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center." } ], "keywords": [ "Biogeochemical measurements", "Phytoplankton pigments", "Fluorometric measurement", "Bio-optical data", "Chlorophyll A", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/197", "name": "Guide for establishing a National Oceanographic Data Centre. 1975. [OBSOLETE]", "description": " - The objectives of the Guide for Establishing a National Oceanographic Centre are: 1. To provide national authorities considering the creation of an NODC with the background for understanding what elements are generally involved in its establishment, development and operation. 2. To provide individuals in charge of establishing a data centre with a list of recommended logical steps that should be taken prior to its establishment; provide the basis for selecting the type of organization suitable for the purposes of the individual country, in terms of available funds, existing volumes of data and data exchange and requirements both for providing services and for participating in international and to establish some basis for long-range planning of the centre's future development and expansion. - , - National Oceanographic Data Centre, NODC, expanded activities, International considerations - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/197", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/197", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/197", "url": "https:\/\/hdl.handle.net\/11329\/197" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanographic institutions", "Oceanographic data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2295", "name": "Ocean Decade Data & Information Strategy.", "description": " - The United Nations Decade of Ocean Science for Sustainable Development (the \u2018Ocean Decade\u2019) seeks to transform humanity\u2019s relationship with the ocean, applying the full range of ocean science and knowledge to diagnose problems and generate solutions. This encompasses a wide array of data, information, and technology, including natural and social sciences, local and Indigenous knowledge, global sensor networks, community-driven research programs and citizen science. While we are making progress with incremental improvements, we need to drive a step change in our digital capabilities; and the Ocean Decade is the transformational opportunity. Through the Ocean Decade, and through this strategy, we have a unique opportunity to transform the way ocean data and information are produced, shared, managed and used globally and equitably. With the rapid development of new sensors, autonomous platforms and diverse techniques to measure and monitor the ocean, the number of data sources is growing rapidly, which is making the landscape increasingly complex. Despite the multiplication of data from diverse sources we still have major data gaps to fill. Common standards, increased interoperability, and enhanced partnerships are essential. The tools to manage, share and interact with our expanding range of digital resources require a similar transformation to ensure we maximise information value and its benefit to society for the investment in the observations themselves. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2295", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2295", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2295", "url": "https:\/\/hdl.handle.net\/11329\/2295" }, "author": [ { "@type": "Person", "name": "Akrofi, Joana" }, { "@type": "Person", "name": "Armstrong, Edward" }, { "@type": "Person", "name": "Aucan, Jerome" }, { "@type": "Person", "name": "Bhaskar, Uday" }, { "@type": "Person", "name": "Br\u00f6nner, Ute" }, { "@type": "Person", "name": "Taco, de Bruin" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Calewaert, Jan-Bart" }, { "@type": "Person", "name": "Demargne, Louis" }, { "@type": "Person", "name": "Diggs, Stephen" }, { "@type": "Person", "name": "Filippone, Marco" }, { "@type": "Person", "name": "Flier, Evert" }, { "@type": "Person", "name": "Gann, Jeanette" }, { "@type": "Person", "name": "Garcia, Hernan" }, { "@type": "Person", "name": "Hill, Katy" }, { "@type": "Person", "name": "Holdsworth, Neil" }, { "@type": "Person", "name": "Larsen, Kirk" }, { "@type": "Person", "name": "O'Brien, Kevin" }, { "@type": "Person", "name": "Segebarth, Nicolas" }, { "@type": "Person", "name": "Sharma, Rishi" }, { "@type": "Person", "name": "Ulverud, Gry Hoeg" }, { "@type": "Person", "name": "Wing, Kate" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "UN Ocean Decade", "Indigenous knowledge", "FAIR Principles", "CARE Principles", "Administration and dimensions", "Cross-discipline", "Data archival\/stewardship\/curation", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1877", "name": "Digital platforms for facilitating access to research infrastructures.", "description": " - Shared research infrastructures are playing an increasingly important role in most scientific fields and represent a significant proportion of the total public investment in science. Many of these infrastructures have the potential to be used outside of their traditional scientific domain and outside of the academic community but this potential if often not fully realised. A major challenge for potential users (and for policy-makers) is simply identifying what infrastructures are available under what conditions. This report includes an analysis of eight case studies of digital platforms that collate information and provide services to promote broader access to, and more effective use of, research infrastructures. Although there is considerable variety amongst the cases, a number of key issues are identified that can help guide policy-makers, funders, institutions and managers, who are interested in developing or contributing to such platforms - , - Published - , - Current - , - N\/A - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1877", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1877", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1877", "url": "https:\/\/hdl.handle.net\/11329\/1877" }, "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Science policy", "Research infrastructures", "Digital platform", "Metadata", "Open access", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/220", "name": "Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements.", "description": " - This manual describes the protocol approved by the international Scientific Steering Committee for the Joint Global Ocean Flux Study (JGOFS) for the most of the 20 JGOFS Core Measurements. However, the methods for the analysis of various parameters of the seawater CO2 system are described in a separate handbook. In order to have a complete set of the JGOFS measurements protocols, you should request a copy of the \"Handbook of Methods for the Analysis of the Various Parameters of the Carbon Dioxide System in Seawater\"version 2, A.G. Dickson and C. Goyet, eds. ORNL\/CDIAC-74. - , - Published - , - JGOFS, Marine microorganisme, measurement, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/220", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/220", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/220", "url": "https:\/\/hdl.handle.net\/11329\/220" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Oceanography", "Ocean circulation", "Oceanographic stations", "Oceanographic data", "Oceanographic surveys", "Samples", "Sampling", "Data processing", "Data", "Data collections", "Quality control", "Salinity measurement", "Oxygen", "Inorganic carbon", "Nitrites", "Nitrates", "Phosphorus compounds", "Phosphorus cycle", "Silicate minerals", "Marine organisms", "Microorganisms", "Bacteriology", "Bacteria", "Zooplankton", "Sampling", "Nitrites", "Nitrates", "Zooplankton", "Data processing", "Data", "Oxygen", "Microorganisms", "Bacteriology", "Bacteria" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2123", "name": "Technologies for Ocean Sensing Deliverable 2.2 Engagement Strategy. Version 1.0.", "description": " - TechOceanS will ensure robust communication of TechOceanS\u2019s results by engaging key stakeholders through a range of strategic activities to translate research results. This strategy draws on the expertise of the whole partnership, particularly TechOceanS\u2019s Theme 5 leaders as well as the industrial partners and those that work with regulatory bodies, who will provide valuable insights into the perception and communication channels of key target users. Stakeholder identification is a key aspect of stakeholder engagement. Partners will have a crucial role in initially populating the stakeholder database with relevant contacts, respecting GDPR considerations, especially of those from within the industrial, regulatory and policy sectors. Additional contacts will be added as the project progresses and networks are established. Communication and engagement will be a continuous process throughout the project and beyond. The purpose of the engagement activities described as part of this strategy below are to facilitate dialogue, build relationships and generate exchanges between TechOceanS and relevant industry, policy, science and societal stakeholders. Therefore, in order to design impactful activities, this strategy also provides an overview of the TechOceanS key stakeholder groups and outlines the strategy for identifying specific stakeholders within these groups. - , - This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2123", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2123", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2123", "url": "https:\/\/hdl.handle.net\/11329\/2123" }, "author": [ { "@type": "Person", "name": "Porter, Keegan" }, { "@type": "Person", "name": "Finlay, Sive" }, { "@type": "Person", "name": "N\u00ed Cheallach\u00e1in, Cliona" } ], "contributor": [ { "@type": "Organization", "name": "TechOceanS Consortium" } ], "keywords": [ "Community engagement", "Communications", "Stakeholder engagement", "TechOceanS Project", "Administration and dimensions", "Data exchange", "Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/961.2", "name": "Guidelines and formats for gathering and management of micro-litter data sets on a European scale (floating and sediment micro-litter). Version 0.2, 08\/07\/2021. [ENDORSED PRACTICE]", "description": " - Since its third phase (dated 2016), EMODnet Chemistry's scope has been expanded with gathering data and developing access to data and data products for marine litter, including macro-objects as well as microparticles. The descriptor 10 of the MSFD (European Commission 2017, 2008; Galgani et al, 2013) considers micro-litter as one of the elements in Criteria D10C2 \u201dThe composition, amount and spatial distribution of micro-litter on the coastline, in the surface layer of the water column, and in the seabed sediment, are at levels that do not cause harm to the coastal and marine environment\u201d. In the same line, RSCs have included micro-litter as a criterion of marine environmental status. The principle of EMODnet Chemistry to face new litter topics is to analyze in detail the best practices already developed by consolidated communities, and then propose a format able to handle all the available information with a focus on the European and global perspective. For micro-litter, there are not yet coordinated efforts at regional or European scale. Considering this situation EMODnet Chemistry proposes to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. This document gives background information about micro-litter and in particular it provides description and examples of metadata and data formats for gathering and managing data sets of micro-litter collected on the sea surface and on the sediments on a European scale. It updates and extends the previous Proposal for gathering and managing data sets on marine micro-litter on a European scale (Galgani et al., 2019) only related to floating particles. - , - Published - , - We acknowledge the fundamental contribution of EMODnet Chemistry Steering Committee and Technical Working Group, MSFD Technical Subgroup on Marine Litter, Regional Sea Conventions (OSPAR, HELCOM, UNEP\/MAP Barcelona Convention, BSCS Black Sea Commission), ICES, ARPA FVG, CEFAS. - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/961.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/961.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/961.2", "url": "https:\/\/hdl.handle.net\/11329\/961.2" }, "author": [ { "@type": "Person", "name": "Vinci, Matteo" }, { "@type": "Person", "name": "Giorgetti, A." }, { "@type": "Person", "name": "Galgani, F." }, { "@type": "Person", "name": "Moncoiffe, G." }, { "@type": "Person", "name": "Fichaut, M." }, { "@type": "Person", "name": "Molina Jack, M.E." }, { "@type": "Person", "name": "Schlitzer, R." }, { "@type": "Person", "name": "Hanke, G." }, { "@type": "Person", "name": "Schaap, D." }, { "@type": "Person", "name": "Partescano, E." }, { "@type": "Person", "name": "Le Moigne, M." } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Chemistry" } ], "keywords": [ "Microlitter data gathering", "Plastic litter", "Marine litter", "Marine debris", "Anthropogenic contamination", "Human activity", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/118", "name": "Manual on the Global Observing System. Volume I. Global aspects.(2013 edition) [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-687]", "description": " - observation system; guides - , - The Manual is designed: - To facilitate cooperation in observations between Members; - To specify obligations of Members in the implementation of the World Weather Watch(WWW) Global Observing System (GOS); - To ensure adequate uniformity and standardization in the practices and procedures employed in achieving (a) and (b) above. - , - http:\/\/public.wmo.int\/en\/resources\/library\/manual-global-observing-system-volume-i-global-aspects - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/118", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/118", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/118", "url": "https:\/\/hdl.handle.net\/11329\/118" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Observing System GOS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2377", "name": "Accurate oxygen measurements on modified Argo floats using in situ air calibrations.", "description": " - Oxygen is an important tracer for biological processes in the ocean. Measuring changes in oxygen over annual cycles provides information about photosynthesis and respiration and their impact on the carbon cycle. Long-term, accurate oxygen measurements over wide areas are needed to determine changes in ocean oxygen content and oxygen deficient zones. Oxygen sensors have been increasingly mounted on Argo floats that profile between 2000 m and the surface. Most of these measurements are currently too inaccurate to calculate the air-sea gas flux, which is the dominant flux of oxygen in the surface ocean and typically driven by surface oxygen supersaturation states of only several percent. In this study, we present data from 17 Aanderaa oxygen optodes mounted on 11 Argo floats modified to make atmospheric measurements for calibration. Optodes measure oxygen equally well in air and water, allowing the use of atmospheric oxygen to perform on-going, in situ calibrations throughout the float lifetime. We find that it is necessary to make atmospheric measurements at night, that raising optodes higher into the air reduces variance in measurements, and that multiple measurements each time a float surfaces provide the best calibration data. Initial optode calibration on deployment has an average uncertainty of60.1% (1 r) and drift can be calculated to60.1% yr21. Measurable drift was determined in 10\u201312 optodes out of the 14 that were deployed for 2 yr. The maximum drift rate measured was 20.5% yr21, which is large enough to strongly impact calculations of air-sea oxygen fluxes. - , - Refereed - , - 14.a - , - Oxygen - , - Validated (tested by third parties) - , - Oxygen sensors - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2377", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2377", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2377", "url": "https:\/\/hdl.handle.net\/11329\/2377" }, "author": [ { "@type": "Person", "name": "Bushinsky, Seth M." }, { "@type": "Person", "name": "Emerson, Steven R." }, { "@type": "Person", "name": "Riser, Stephen C." }, { "@type": "Person", "name": "Swift, Dana D." } ], "keywords": [ "Argo floats", "Oxygen sensors", "Oxygen measurement", "Calibration", "Dissolved gases", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/438", "name": "The Production of Methane and Nitrous Oxide Gas Standards for Scientific Committee on Ocean Research (SCOR) Working Group #143.", "description": " - The Scientific Committee on Oceanic Research (SCOR) is the leading international non - governmental organization for the promotion and coordination of international oceanographic activities, with the aim to solve conceptual and methodological problems that hinder marine research. The SCOR Working Group #143, formed in November 2013, and focuses on improving measure ments of the nitrous oxide and methane in seawater. One activity conducted was the synthesis of gas standards which were distributed to the Full Members of the Working Group and a few Associate Members as listed below. This Technical Report provides deta ils on the production of the nitrous oxide and methane standards and includes the absolute concentrations for each gas cylinder and best practice recommendations for gas regulator usage. Anyone seeking to cross - compare their own standards with these stand ards should contact one of the recipients of the standards. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Nitrous oxide - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/438", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/438", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/438", "url": "https:\/\/hdl.handle.net\/11329\/438" }, "author": [ { "@type": "Person", "name": "Bullister, J.L." }, { "@type": "Person", "name": "Wisegarver, D. P." }, { "@type": "Person", "name": "Wilson, S. T." } ], "contributor": [ { "@type": "Organization", "name": "Pacific Marine Environmental Laboratory (NOAA-PMEL) for SCOR WG 143" } ], "keywords": [ "Methane", "Nitrous oxide", "Dissolved gas measurement", "N20", "CH4", "SCOR WG 143", "Parameter Discipline::Chemical oceanography::Dissolved gases" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1616", "name": "Guidelines and Criteria on Technical and Environmental Aspects of Cage Aquaculture Site Selection in the Kingdom of Saudi Arabia.", "description": " - Aquaculture and more specifically marine aquaculture is a growing industry that currently supplies approximately 50 percent of the world\u2019s global fish market. This will certainly continue with an anticipated global increase in production of 30 million tonnes required by 2050 to provide fish products to a growing population globally. FAO indicates that Mariculture, growing fish in the sea, will be the major sub-sector of this industry to expand in to the future. The marine environment offers an available resource and provides space for expansion, even recognising competing needs. The Kingdom of Saudi Arabia has two coastlines, in the west the Red Sea and in the East the Arabian Sea. The KSA is expected to expand Mariculture primarily in the Red Sea and it is on this premise that these guidelines and (where relevant and available) criteria have been developed. Much of the detail, however, is generally applicable and may equally apply to all KSA coasts. Expansion and long-term sustainability of the aquaculture in the Red Sea will depend on the development and adoption of best management practices, which includes identification and selection of the right sites in which to locate fish farms, the subject of this document. Any aquaculture project has, among its early primary tasks, the selection of the most suitable site for the farming business. An error in the site selection and evaluation stage can strongly influence the profitability, impact running costs and production capacity and affect fish mortality, health and welfare, which combined would make any fish farm unsustainable in the long-term. The selection of a marine site or zone that would be suitable for deploying the physical infrastructure necessary to grow fish and then growing the fish in cages requires a number of technical and environmental considerations, prior to the site being selected and operations begun. This document provides the user with some guidelines and criteria for consideration in the selection of suitable sites within the Kingdom of Saudi Arabia (KSA). It should be noted that decisions over siting are often complex and require interpretation. For example a site with good water flow will remove wastes and replace oxygen in the cages, but the site will remain unsuitable if it is too shallow. Conversely a deep site is useful, but not if the water flow is very low. Thus when reading this document consideration must be given to combined factors in determining what a very good site is and what is not, and many sites will fall between these two extremes. Attempts have been made to ensure that any guidelines and criteria given comply with the regulations in force within KSA. The aquaculture regulations issued through the Department of Aquaculture at the Ministry of Agriculture and other Environmental laws and Regulation issued through and administered by the Presidency Meteorology and Environment (PME) should take precedence when any errors or inconsistencies are identified. Please note also that these guidelines and criteria do not specifically refer to the aquaculture application and licensing process, and the reader should refer to these procedures specifically. In general this is a guide to help support good site selection, with details on environmental choices that affect the fish being grown and the infrastructure needed to grow the fish, environmental considerations of long term sustainability and other factors that will affect the choices made. - , - Published - , - Current - , - 14.2 - , - N\/A - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1616", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1616", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1616", "url": "https:\/\/hdl.handle.net\/11329\/1616" }, "author": [ { "@type": "Person", "name": "Cardia, Francesco" }, { "@type": "Person", "name": "Ciattaglia, Alessandro" }, { "@type": "Person", "name": "Corner, Richard Anthony" } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Cage aquaculture", "Site selection", "Fish farming", "Coastal management", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/472.2", "name": "Marine Sampling Field Manual for Towed Underwater Camera Systems [Version 3].", "description": " - As still and video cameras can be mounted to tow bodies in a variety of ways (Figure 7.1, Table 7.1), this field manual does not mandate specific gear types. Rather, it provides recommendations for future updates or replacement of existing platforms. It targets the suite of towed camera platforms currently being used to acquire quantitative imagery of benthic habitats in Australian waters, and seeks to standardise monitoring efforts by recommending standard operating procedures (SOPs) for survey planning, field acquisition and post-survey data processing, description, and storage for public accessibility (Figure 7.2). The primary aim of this field manual is to establish a consistent approach to marine benthic sampling using towed camera systems that will facilitate statistically sound compilation between studies. Note that hybrid towed systems and other video-based monitoring platforms (e.g. dropped video cameras, or video and still cameras mounted on sleds or trawls) that are commonly used to gather qualitative sample data (e.g. general animal behaviour) fall outside the scope of this manual. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Hard coral cover and composition - , - Fish abundance and distribution - , - Mature - , - Best Practice - , - Manual - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/472.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/472.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/472.2", "url": "https:\/\/hdl.handle.net\/11329\/472.2" }, "author": [ { "@type": "Person", "name": "Carroll, A." }, { "@type": "Person", "name": "Althaus, F." }, { "@type": "Person", "name": "Beaman, R." }, { "@type": "Person", "name": "Friedman, A." }, { "@type": "Person", "name": "lerodiaconou, D." }, { "@type": "Person", "name": "Ingleton, T." }, { "@type": "Person", "name": "Jordan, A." }, { "@type": "Person", "name": "Linklater, M." }, { "@type": "Person", "name": "Monk, J." }, { "@type": "Person", "name": "Post, A." }, { "@type": "Person", "name": "Przeslawski, R." }, { "@type": "Person", "name": "Smith, J." }, { "@type": "Person", "name": "Stowar, M." }, { "@type": "Person", "name": "Tran, M." }, { "@type": "Person", "name": "Tyndall, A." }, { "@type": "Person", "name": "Sutherland, M." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Video", "Underwater photography", "Tow bodies", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data processing", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1818", "name": "Abundance and survival rates of the Hawai\u2019i Island associated spinner dolphin (Stenella longirostris) stock.", "description": " - Reliable population estimates are critical to implement effective management strategies. The Hawai\u2019i Island spinner dolphin (Stenella longirostris) is a genetically distinct stock that displays a rigid daily behavioural pattern, foraging offshore at night and resting in sheltered bays during the day. Consequently, they are exposed to frequent human interactions and disturbance. We estimated population parameters of this spinner dolphin stock using a systematic sampling design and capture\u2013recapture models. From September 2010 to August 2011, boat-based photo-identification surveys were undertaken monthly over 132 days (.1,150 hours of effort; .100,000 dorsal fin images) in the four main resting bays along the Kona Coast, Hawai\u2019i Island. All images were graded according to photographic quality and distinctiveness. Over 32,000 images were included in the analyses, from which 607 distinctive individuals were catalogued and 214 were highly distinctive. Two independent estimates of the proportion of highly distinctive individuals in the population were not significantly different (p = 0.68). Individual heterogeneity and time variation in capture probabilities were strongly indicated for these data; therefore capture\u2013recapture models allowing for these variations were used. The estimated annual apparent survival rate (product of true survival and permanent emigration) was 0.97 SE60.05. Open and closed capture\u2013recapture models for the highly distinctive individuals photographed at least once each month produced similar abundance estimates. An estimate of 22164.3 SE highly distinctive spinner dolphins, resulted in a total abundance of 631660.1 SE, (95% CI 524\u2013761) spinner dolphins in the Hawai\u2019i Island stock, which is lower than previous estimates. When this abundance estimate is considered alongside the rigid daily behavioural pattern, genetic distinctiveness, and the ease of human access to spinner dolphins in their preferred resting habitats, this Hawai\u2019i Island stock is likely more vulnerable to negative impacts from human disturbance than previously believed. - , - Refereed - , - Marine turtles, birds, mammals abundance and distribution - , - Species abundances - , - Species distributions - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1818", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1818", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1818", "url": "https:\/\/hdl.handle.net\/11329\/1818" }, "author": [ { "@type": "Person", "name": "Tyne, Julian" }, { "@type": "Person", "name": "Pollack, Kenneth" }, { "@type": "Person", "name": "Johnston, David" }, { "@type": "Person", "name": "Bejder, Lars" } ], "keywords": [ "BioICE", "Photo-identification", "IOOS Marine Life", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/852", "name": "AQUACOSM: Network of Leading European AQUAtic MesoCOSM Facilities, Deliverable No 4.1: Standardised protocols (SOPs) on data collection, data quality and assurances and processing. Version 1.4.", "description": " - This Standard Operating Procedure (SOP) describes methods for sampling, and analysis of phytoplankton from mesocosm experiments carried out in all aquatic environments (fresh and marine waters). It gathers best practice advice with a focus on sampling, counting and other analyses of phytoplankton as well as Quality Assurance\/ Quality Control (QA\/QC) practices. This SOP is based on EU Water Framework Directive and other related documents. It is designed to be compliant with this EU Directive (2000\/06\/EC) [1]. Use of this SOP will ensure consistency and compliance in collecting and processing phytoplankton data from mesocosm experiments across the AQUACOSM community, in Europe and beyond. This SOP covers guidance on health, safety and environmental information, best practice advice on materials and methodology and QA\/QC procedures to be followed during the sampling, analysis and counting of phytoplankton samples from mesocosm experiments. It applies only to the phytoplankton microscope investigation of the identification, composition, abundance, and biovolume estimation of phytoplankton samples. - , - Published - , - Refereed - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/852", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/852", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/852", "url": "https:\/\/hdl.handle.net\/11329\/852" }, "author": [ { "@type": "Person", "name": "Ba\u015fo\u011flu, Deniz" }, { "@type": "Person", "name": "Beklio\u011flu, Meryem" }, { "@type": "Person", "name": "Ptacnik, Robert" } ], "contributor": [ { "@type": "Organization", "name": "Forschungsverbund Berlin e.V. - Leibniz-Institut f\u00fcr Gew\u00e4sser\u00f6kologie und Binnenfischerei" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/638", "name": "Fe- and Cu-Complex Formation with Artificial Ligands Investigated by Ultra-High Resolution Fourier-Transform ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS): Implications for Natural Metal-Organic Complex Studies.", "description": " - In recent years, electrospray-ionization mass spectrometry (ESI-MS) has been increasingly used to complement the bulk determination of metal-ligand equilibria, for example via competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-ACSV). However, ESI-MS speciation analyses may be impacted by instrumental artifacts such as reduction reactions, fragmentation, and adduct formation at the ESI source, changes in the ionization efficiencies of the detected species in relation to sample matrix, and peak overlaps in response to increasing sample complexity. In our study, equilibria of the known artificial ligands citrate, ethylenediaminetetraacetic acid (EDTA), 1-nitroso-2-naphthol (NN), and salicylaldoxime (SA) with iron (Fe) and copper (Cu) were investigated by ultra-high resolution ESI-MS, Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), under a variety of sample matrix and ionization settings. The acquired mass spectra were compared with metal-ligand equilibrium data from the literature as well as an adapted speciation model. Overall, the mass spectra produced representative species mentioned in previous reports and predicted by the speciation calculations, such as Fe(Cit), Cu(Cit)2, Fe(EDTA), Cu(EDTA), Fe(NN)3, and Cu(SA)2. The analyses furthermore revealed new species which had been hypothesized but not measured directly using other methods, for example ternary complexes of citrate with Fe and Cu, Cu(SA) monomers, and the dimer Fe(SA)2. Finally, parallel measurements of a Cu+SA calibration series and a Cu+SA+EDTA competition series indicated that FT-ICR-MS can produce linear responses and low detection limits analogous to those of ACSV. We propose that ultra-high resolution FT-ICR-MS can be used as a representative tool to study interactions of trace metals with artificial as well as natural, unknown ligands at the molecular level. - , - Refereed - , - Best Practice - , - Standard Operating Procedure - , - 2016-03-31 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/638", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/638", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/638", "url": "https:\/\/hdl.handle.net\/11329\/638" }, "author": [ { "@type": "Person", "name": "Waska, Hannelore" }, { "@type": "Person", "name": "Koschinsky, Andrea" }, { "@type": "Person", "name": "Dittmar, Thorsten" } ], "keywords": [ "Organic ligands", "FT-ICR-MS", "Iron", "Copper", "EDTA", "Citrate", "Salicylaldoxime", "1-nitroso-2-naphthol", "Parameter Discipline::Chemical oceanography::Metal and metalloid concentrations", "Instrument Type Vocabulary::mass spectrometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/177", "name": "Tsunami preparedness information guide for disaster planners.", "description": " - This guide is prepared based on the Japanese document titled \u2018Guidebook for Tsunami Preparedness in Local Hazard Mitigation Planning\u2019 developed in March 1998 by the Government of Japan with the cooperation of the National Land Agency, the Ministry of Agriculture, the Forestry and Fisheries Structural Improvement Bureau, the Fisheries Agency, the Ministry of Transport, the Japan Meteorological Agency, the Ministry of Construction, and the Fire and Disaster Management Agency. - , - Published - , - Information guide - , - Document available in English - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/177", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/177", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/177", "url": "https:\/\/hdl.handle.net\/11329\/177" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Tsunamis", "Disasters", "Disasters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1960", "name": "Good Practices for Environmental Impact Assessment and Meaningful Engagement in the Arctic \u2013 Including Good Practice Recommendations.", "description": " - This report discusses the themes (chapter 3), and presents recommendations (chapter 4), while also highlighting good practice cases (chapter 5) Specific models for meaningful engagement of Indigenous Peoples are also presented (chapter 6). Good practices were gathered and recommendations were created under the auspices of the Sustainable Development Working Group of the Arctic Council during the Finnish Chairmanship 2017\u20132019. The work was led by Finland (Ministry of the Environment), Canada (Crown-Indigenous Relations and Northern Affairs), Kingdom of Denmark (Greenland Institute of Natural Resources) and Gwich\u2019in Council International, which represents Gwich\u2019in across Alaska (USA), Yukon and the Northwest Territories (Canada) in its capacity as a Permanent Participant in the Arctic Council. An Editorial Group was formed to be the joint working body for the project. It consisted of nominated members of all the Arctic states and Permanent Participants of the Arctic Council and a representative of the Arctic Economic Council. The Arctic EIA project organized in cooperation with its local partners three regional workshops. They were held in Utqia\u0121vik\/Barrow (Alaska, United States), Rovaniemi (Nordic countries\u2019 workshop, Finland) and Yellowknife (Northwest Territories, Canada). The workshops were structured to provide regional perspectives on key EIA challenges, as well as case studies that are illustrative of a good practice approach. Workshop participants included EIA practitioners, government representatives, Indigenous Governments and Indigenous Peoples\u2019 Organizations, researchers, industry and other stakeholders. Additional data collection included an online questionnaire. To complement the work of the project as a whole, two research initiatives were carried out: Gwich'in Council International\u2019s workshop and research paper Emerging Practices of Indigenous-led Reviews in Environmental Impact Assessment and the Arctic Centre of the University of Lapland\u2019s (Finland) research on models to assist in planning meaningful engagement of Indigenous Peoples. - , - Ministry for Foreign Affairs of Finland - , - Published - , - Refereed - , - Current - , - 15.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1960", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1960", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1960", "url": "https:\/\/hdl.handle.net\/11329\/1960" }, "author": [ { "@type": "Person", "name": "Karvinen, P\u00e4ivi A." }, { "@type": "Person", "name": "Rantakallio, Seija" } ], "contributor": [ { "@type": "Organization", "name": "Arctic Council Sustainable Development Working Group and Arctic Environmental Impact Assessment (EIA) Project" } ], "keywords": [ "Environment Impact Assessment (EIA)", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1443", "name": "Operational Modeling Capacity in European Seas \u2014 An EuroGOOS Perspective and Recommendations for Improvement.", "description": " - An overview of the current European capacity in terms of operational modeling of marine and coastal systems is presented. This overview is compiled from a survey conducted in 2018\u20132019 among members of EuroGOOS and its related network of Regional Operational Oceanographic Systems, addressing the purposes, context and technical specificities of operational modeling systems. Contributions to the survey were received from 49 organizations around Europe, which represent 104 operational model systems simulating mostly hydrodynamics, biogeochemistry and sea waves. The analysis of contributions highlights the strengths and weaknesses of the current capacity from an operational point of view, and leads to the formulation of recommendations toward the improvement of marine operational modeling services in Europe. In particular, this study highlights the heterogeneity of the European operational modeling capacity in terms of atmospheric and land boundary conditions, its limited deployment for biogeochemical phenomena, and a restricted use of data assimilation methods. In order to improve the accuracy of their simulations, model operators aim toward a further refinement of spatial resolution, and identify the quality and accessibility of forcing data and the suitability of observations for data assimilation as restricting factors. The described issues call for institutional integration efforts and promotion of good practices to homogenize operational marine model implementations, and to ensure that external forcing datasets, observation networks and process formulations and parameterizations are adequately developed to enable the deployment of high-level operational marine and coastal modeling services across Europe. - , - Refereed - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1443", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1443", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1443", "url": "https:\/\/hdl.handle.net\/11329\/1443" }, "author": [ { "@type": "Person", "name": "Capet, Arthur" }, { "@type": "Person", "name": "Fern\u00e1ndez, Vicente" }, { "@type": "Person", "name": "She, Jun" }, { "@type": "Person", "name": "Dabrowski, Tomasz" }, { "@type": "Person", "name": "Umgiesser, Georg" }, { "@type": "Person", "name": "Staneva, Joanna" }, { "@type": "Person", "name": "M\u00e9sz\u00e1ros, L\u0151rinc" }, { "@type": "Person", "name": "Campuzano, Francisco" }, { "@type": "Person", "name": "Ursella, Laura" }, { "@type": "Person", "name": "Nolan, Glenn" }, { "@type": "Person", "name": "El Serafy, Ghada" } ], "keywords": [ "Operational oceanography", "Ocean modeling", "Coastal modeling", "Marine services", "Ocean observations", "Numerical modeling", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/801", "name": "Performance Verification Statement for the YSI 6600 EDS Sonde and 6136 Turbidity Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ turbidity sensors. Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of the amount of suspended material. Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies to define turbidity in very specific terms based on optical methods of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as a relative measure of suspended sediment concentration. As described below in more detail, field tests that examine manufacturers\u2019 turbidity values against simultaneously determined measurements of transmissivity, total suspended solids, and particulate organic carbon were designed only to examine an instrument\u2019s ability to track changes in water clarity through time and NOT to determine how well the instrument\u2019s values directly correlated with the ancillary measurements. The use of turbidity sensors to estimate a specific parameter (such as TSS) in nature requires local calibration to take into account many factors including particle composition, size and shape, along with other any other light scattering influences from dissolved organic compounds. In this Verification Statement, we present the performance results of the YSI 6600 EDS sonde and 6136 Turbidity Sensor evaluated in the laboratory and under diverse environmental conditions in moored field tests. A total of seven different field sites were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/801", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/801", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/801", "url": "https:\/\/hdl.handle.net\/11329\/801" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Scianni, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1015", "name": "Volume 3: OGC CDB Terms and Definitions, Version 1.0.", "description": " - This CDB Volume provides terms and definitions. Many of the terms and definitions are specific to the simulation industry. Other terms and definitions have been updated to be consistent with the ISO 19xxx (Geomatics) series of standards, specifically ISO 19111 Spatial referencing by Coordinates and ISO 19017 Spatial Schema. Some work still remains to make the terms and definitions completely consistent with current OGC and ISO best - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1015", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1015", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1015", "url": "https:\/\/hdl.handle.net\/11329\/1015" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1127", "name": "Web Map Context Documents. Version 1.1.0.", "description": " - This document is the result of work begun during the first and second OGC Web Mapping Testbeds in 1999 and 2000 by IONIC Software and the US National Aeronautics and Space Administration (NASA) and demonstrated by IONIC in September 1999. At the OGC Technical Committee meeting in June 2002 work by GeoConnections \/ Natural Resources Canada and NASA was demonstrated. This demonstration showed a map comprising layers from several distinct servers being built up in one Viewer Client, the creation of a platform-independent description of that map, the retrieval of that description by an entirely different Client, and the display of the map in the second Client. The ability to read and write Context documents has already been tested in many OGC Interoperability Program testbeds such as OWS, GISD, and CIPI. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1127", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1127", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1127", "url": "https:\/\/hdl.handle.net\/11329\/1127" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Implementation Specification", "Context documents" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2127", "name": "Conventional sampling methods severely underestimate phytoplankton species richness.", "description": " - Conventional methods for the estimation of marine phytoplankton diversity include the collection of a small volume of seawater which is analysed under the microscope. We sampled natural communities and also synthetic communities generated under a neutral community model configuration and demonstrate that traditional sampling methods underestimate the species richness of marine phytoplankton communities. In our model, a synthetic community represents an ensemble of individuals enclosed in a parcel of seawater wherein the dynamics of each population is controlled by demographic stochasticity and dispersal. By sampling these synthetic communities, we found that roughly 20 \u201345% of the species is missed by conventional, small volume samples. Consistent with the simulations, field data showed that the number of species increases with sampling effort by up to ~1.5-fold, revealing that these microbial communities might be more diverse than previously estimated. We suggest that conventional sampling methods have limited our ability to delineate the patterns of marine phytoplankton diversity and identify the underlying mechanisms. Improved sampling methods are proposed to obtain more accurate estimates of marine phytoplankton diversity. - , - Refereed - , - Phytoplankton biomass and diversity - , - Mature - , - International - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2127", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2127", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2127", "url": "https:\/\/hdl.handle.net\/11329\/2127" }, "author": [ { "@type": "Person", "name": "Rodr\u00edguez-Ramos, Tamara" }, { "@type": "Person", "name": "Dornelas, Mar\u00eda" }, { "@type": "Person", "name": "Mara\u00f1\u00f3n, Emilio" }, { "@type": "Person", "name": "Cerme\u00f1o, Pedro" } ], "keywords": [ "Grupo de Oceanograf\u00eda Biol\u00f3gica, University of Vigo", "Sample size", "Rare species", "Neutral models", "Phytplankton diversity", "Phytoplankton", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1231", "name": "From Interoperability to Harmonization in Metadata Standardization: Designing an Evolvable Framework for Metadata Harmonization [Doctoral Thesis]", "description": " - Metadata is an increasingly central tool in the current web environment, enabling large-scale, distributed management of resources. Recent years has seen a growth in interaction between previously relatively isolated metadata communities, driven by a need for cross-domain collaboration and exchange. However, metadata standards have not been able to meet the needs of interoperability between independent standardization communities. For this reason the notion of metadata harmonization, defined as interoperability of combinations of metadata specifications, has risen as a core issue for the future of web-based metadata. This thesis presents a solution-oriented analysis of current issues in metadata harmonization. A set of widely used metadata specifications in the domains of learning technology, libraries and the general web environment have been chosen as targets for the analysis, with a special focus on Dublin Core, IEEE LOM and RDF. Through active participation in several metadata standardization communities, a body of knowledge of harmonization issues has been developed. The thesis presents an analytical framework of concepts and principles for understanding the issues arising when interfacing multiple standardization communities. The analytical framework focuses on a set of important patterns in metadata specifications and their respective contribution to harmonization issues: Metadata syntaxes as a tool for metadata exchange. Syntaxes are shown to be of secondary importance in harmonization. Metadata semantics as a cornerstone for interoperability. This thesis argues that the incongruences in the interpretation of metadata descriptions play a significant role in harmonization. Abstract models for metadata as a tool for designing metadata standards. It is shown how such models are pivotal in the understanding of harmonization problems. Vocabularies as carriers of meaning in metadata. The thesis shows how portable vocabularies can carry semantics from one standard to another, enabling harmonization. Application profiles as a method for combining metadata standards. While application profiles have been put forward as a powerful tool for interoperability, the thesis concludes that they have only a marginal role to play in harmonization. The analytical framework is used to analyze and compare seven metadata specifications, and a concrete set of harmonization issues is presented. These issues are used as a basis for a metadata harmonization framework where a multitude of metadata specifications with different characteristics can coexist. The thesis concludes that the Resource Description Framework (RDF) is the only existing specification that has the right characteristics to serve as a practical basis for such a harmonization framework, and therefore must be taken into account when designing metadata specifications. Based on the harmonization framework, a best practice for metadata standardiza- tion development is developed, and a roadmap for harmonization improvements of the analyzed standards is presented. - , - Published - , - Public full text downloaded from ResearchGate. Author copy provided by MN - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1231", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1231", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1231", "url": "https:\/\/hdl.handle.net\/11329\/1231" }, "author": [ { "@type": "Person", "name": "Nilsson, Mikael" } ], "contributor": [ { "@type": "Organization", "name": "KTH School of Computer Science and Communication" } ], "keywords": [ "Metadata harmonization", "Interoperability", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1290", "name": "The FAIR Guiding Principles for scientific data management and stewardship.", "description": " - There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverseset of stakeholders\u2014representing academia, industry, funding agencies, and scholarly publishers\u2014have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the humanscholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automaticallyfind and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community. - , - ADDENDUM: Wilkinson, M.D., Dumontier, M., Jan Aalbersberg, I. et al. Addendum: The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 6, 6 (2019). https:\/\/doi.org\/10.1038\/s41597-019-0009-6 - , - Refereed - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1290", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1290", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1290", "url": "https:\/\/hdl.handle.net\/11329\/1290" }, "author": [ { "@type": "Person", "name": "Wilkinson, Mark D." }, { "@type": "Person", "name": "Dumontier, Michel" }, { "@type": "Person", "name": "Aalbersberg, IJsbrand Jan" }, { "@type": "Person", "name": "Appleton, Gabrielle" }, { "@type": "Person", "name": "Axton, Myles" }, { "@type": "Person", "name": "Baak, Arie" }, { "@type": "Person", "name": "Blomberg, Niklas" }, { "@type": "Person", "name": "Boiten, Jan-Willem" }, { "@type": "Person", "name": "Bonino da Silva Santos, Luiz" }, { "@type": "Person", "name": "Bourne, Philip E." }, { "@type": "Person", "name": "Bouwman, Jildau" }, { "@type": "Person", "name": "Brookes, Anthony J." }, { "@type": "Person", "name": "Clark, Tim" }, { "@type": "Person", "name": "Crosas, Merc\u00e8" }, { "@type": "Person", "name": "Dillo, Ingrid" }, { "@type": "Person", "name": "Dumon, Olivier" }, { "@type": "Person", "name": "Edmunds, Scott" }, { "@type": "Person", "name": "Evelo, Chris T." }, { "@type": "Person", "name": "Finkers, Richard" }, { "@type": "Person", "name": "Gonzalez-Beltran, Alejandra" }, { "@type": "Person", "name": "Gray, Alasdair J.G." }, { "@type": "Person", "name": "Groth, Paul" }, { "@type": "Person", "name": "Goble, Carole" }, { "@type": "Person", "name": "Grethe, Jeffrey S." }, { "@type": "Person", "name": "Heringa, Jaap" }, { "@type": "Person", "name": "\u2019t Hoen, Peter A.C." }, { "@type": "Person", "name": "Hooft, Rob" }, { "@type": "Person", "name": "Kuhn, Tobias" }, { "@type": "Person", "name": "Kok, Ruben" }, { "@type": "Person", "name": "Kok, Joost" }, { "@type": "Person", "name": "Lusher, Scott J." }, { "@type": "Person", "name": "Martone, Maryann E." }, { "@type": "Person", "name": "Mons, Albert" }, { "@type": "Person", "name": "Packer, Abel L." }, { "@type": "Person", "name": "Persson, Bengt" }, { "@type": "Person", "name": "Rocca-Serra, Philippe" }, { "@type": "Person", "name": "Roos, Marco" }, { "@type": "Person", "name": "van Schaik, Rene" }, { "@type": "Person", "name": "Sansone, Susanna-Assunta" }, { "@type": "Person", "name": "Schultes, Erik" }, { "@type": "Person", "name": "Sengstag, Thierry" }, { "@type": "Person", "name": "Slater, Ted" }, { "@type": "Person", "name": "Strawn, George" }, { "@type": "Person", "name": "Swertz, Morris A." }, { "@type": "Person", "name": "Thompson, Mark" }, { "@type": "Person", "name": "van der Lei, Johan" }, { "@type": "Person", "name": "van Mulligen, Erik" }, { "@type": "Person", "name": "Velterop, Jan" }, { "@type": "Person", "name": "Waagmeester, Andra" }, { "@type": "Person", "name": "Wittenburg, Peter" }, { "@type": "Person", "name": "Wolstencroft, Katherine" }, { "@type": "Person", "name": "Zhao, Jun" }, { "@type": "Person", "name": "Mons, Barend" } ], "keywords": [ "FAIR principles", "Data reuse", "Data publication", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data citation", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/397", "name": "A User\u2019s guide for selected autonomous biogeochemical sensors. An outcome from the 1st IOCCP International Sensors Summer Course, June 22 \u2013 July 1, 2015, Kristineberg, Sweden.", "description": " - Over the last decade, ocean observing technology has risen to the challenge of scientist by providing them with cost - effective tools that can take measurements of essential biogeochemical variables autonomously. Yet, despite these options becoming more readily available, there is still a gap between the technology and the end - user (investigators and technicians that deploy these technologies) due to a collective lack of training, in - depth knowledge, and community coordination. There is also a disconnect between data gathering by autonomous sensors and data quality, which is a major obstacle, as these sensors are already being deployed on autonomous platforms and in conjunction with ship - based sampling to broaden data coverage in space and time. - , - Published - , - Contributing authors: Steffen A\u00dfmann, Dariia Atamanchuk, Henry Bittig, Phil Bresnahan, Peter Brown, Geoffrey Carlin, Adam Comeau, Douglas Connelly, Bryan Downing, Andrea Fassbender, Bj\u00f6rn Fiedler, Srikanth Gedela, Thanos Gkritzalis, Angelos Hannides, Sue Hartman, Ken Johnson, Chris L\u2019Esperance, Christian L\u00f8nborg, Socratis Loucaides, Jian Ma, Rajesh Nair, Craig Neill, Manolis Ntoumas, Ella Pereira, Antoine Poteau, Victoire R\u00e9rolle, Paul Rigby, Ute Schuster, Kyle Simpson, Reggie Spaulding, Tom Trull, Adam Ulfsbo, Yoana Voynova. A User\u2019s guide for selected autonomous biogeochemical sensors. An outcome from the 1st International IOCCP Sensors Summer Course \u2013 Instrumenting Our Oceans for Better Observations June 22 \u2013 July 1, 2015, Kristineberg, Sweden. - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/397", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/397", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/397", "url": "https:\/\/hdl.handle.net\/11329\/397" }, "contributor": [ { "@type": "Organization", "name": "IOCCP" } ], "keywords": [ "Biogeochemical sensors", "Oxygen", "Nitrate", "pCO2", "pH", "Biofouling", "Deployment", "Data quality", "Carbon dioxide", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1117", "name": "OGC GML in JPEG 2000 (GMLJP2) Encoding Standard Part 1: Core. Version 2.0.", "description": " - This standard applies to the encoding and decoding of JPEG 2000 images that contain GML for use with geographic imagery. This document specifies the use of the Geography Markup Language (GML) within the XML boxes of the JPEG 2000 data format and provides an application schema for JPEG 2000 that can be extended to include geometrical feature descriptions and annotations. The document also specifies the encoding and packaging rules for GML use in JPEG 2000. - , - Published - , - This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1117", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1117", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1117", "url": "https:\/\/hdl.handle.net\/11329\/1117" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Encoding standard" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1700", "name": "MEDIN data guideline for the recording of moored instrument data. Version 4.0.", "description": " - This guideline is a data archive standard for oceanographic data from moored instruments. If used correctly the data will be easily used and reused. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1700", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1700", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1700", "url": "https:\/\/hdl.handle.net\/11329\/1700" }, "author": [ { "@type": "Person", "name": "Charlesworth, M." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "CTD", "Oceanography", "Mooring", "Salinity", "Conductivity", "Temperature", "Depth", "DO", "Turbidity", "Fluorescence", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2323", "name": "Maori methods and indicators for marine protection : Summary of research findings.", "description": " - As stated in the original research proposal for the Maori Methods and Indicators for Marine Protection project that was submitted to the Ministry of Research, Science and Technology, marine reserves meet many conservation objectives but often conflict with iwi\/hapu objectives for marine management. There is a need to understand how marine reserves and alternative methods of marine management contribute to meeting iwi\/hapu objectives. There is also a need to understand how marine reserves and alternative methods of marine protection contribute to meeting conservation objectives at a range of trophic levels. This knowledge will assist in determining how both iwi\/hapu and conservation objectives can be met through either a particular management method or a suite of methods. It will also promote an appreciation and understanding of iwi\/hapu interests, values and knowledge associated with marine management. - , - Foundation for Research, Science and Technology - , - Published - , - Refereed - , - Current - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2323", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2323", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2323", "url": "https:\/\/hdl.handle.net\/11329\/2323" }, "author": [ { "@type": "Person", "name": "Wilson, Carla" }, { "@type": "Person", "name": "Freeman, Debbie" }, { "@type": "Person", "name": "Hogan, Kerry" }, { "@type": "Person", "name": "Thompson, Kati" } ], "contributor": [ { "@type": "Organization", "name": "Nga\u0304ti Kere, Nga\u0304ti Ko\u0304nohi, Ministry for the Environment, Department. of Conservation" } ], "keywords": [ "Marine reserves", "Marine protected areas (MPA)", "Marine conservation", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1756", "name": "Nutrient Analysis in Arctic Waters Using a Portable Sensing Platform.", "description": " - A portable sensing platform for the detection of nutrients (PO4 3\u2212, NO2 \u2212, NO3 \u2212) in natural waters has been realized through the use of rapid prototyping techniques, colorimetric chemistries, electronics, and LED-based optical detection. The sensing platform is modular in design incorporating interchangeable optical detection units, with a component cost per unit of ca. \u20ac300, and small form factor (20 cm \u00d7 6 cm x 3.5 cm). Laboratory testing and validation of the platform was performed prior to deployment at the CNR Dirigibile Italia Arctic Research Station, Ny-Aselund (79\u00b0N, 12\u00b0E). Results obtained showed excellent linear response, with a limit of detection of 0.05 \u03bcM (NO2 \u2212, NO3 \u2212), and 0.03 \u03bcM (PO4 3\u2212). On the June 22, 2016 a field campaign took place within Kongsfjorden, Ny-Aselund (78.5\u201379\u00b0N, 11.6\u201312.6\u00b0E), during which 55 water samples were acquired using 10 L Niskin bottles on board the MS Teisten research vessel. 23 hydrological casts were also performed using a Seabird 19plus V2 SeaCAT Profiler CTD probe with turbidity and dissolved oxygen sensors. Water samples were subsequently analyzed for PO4 3\u2212, NO2 \u2212, NO3 \u2212 at the CNR Dirigibile Italia Arctic Research Station Laboratory using the adaptive sensing platform. Nutrient concentrations were compared to hydrological data to assess the processes that influence the nutrient concentrations within the Fjord. This research highlights the potential use of the adaptive sensing platform in remote locations as a stand-alone platform and\/or for the validation of deployable environmental sensor networks. - , - Refereed - , - 14.a - , - Nutrients - , - Validated (tested by third parties) - , - Portable sensing platform - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1756", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1756", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1756", "url": "https:\/\/hdl.handle.net\/11329\/1756" }, "author": [ { "@type": "Person", "name": "McCaul, M." }, { "@type": "Person", "name": "Magni, P." }, { "@type": "Person", "name": "Jordan, S.F." }, { "@type": "Person", "name": "McNamara, E." }, { "@type": "Person", "name": "Satta, A." }, { "@type": "Person", "name": "Diamond, D ." }, { "@type": "Person", "name": "Ribotti, A." } ], "keywords": [ "Water quality", "Nutrients", "nutrient analysers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/670", "name": "Biological effects of contaminants: measurement of lysosomal membrane stability.", "description": " - Lysosomes are ubiquitous cellular organelles that provide a waste disposal and macromolecular recycling system (autophagy) and also a membrane-bound compartment for intracellular digestion of food ingested by the cells. They accumulate many toxic metals and organic chemical contaminants, providing an evolutionarily primitive detoxication capacity, which if overloaded results in lysosomal damage leading to cell injury, tissue dysfunction, and reduction in animal \u201chealth status\u201d. Major reactions of lysosomes to pollutants include loss of membrane integrity, enlargement associated with autophagy, and accumulation of lipid and lipofuscin (agepigment). These types of responses have been widely used to test for the effects of toxic contaminants in both experimental investigations and environmental impact assessments. Several methods are available to measure lysosomal functional status: these include measurement of lysosomal membrane stability in both frozen tissue sections and live cells. Protocols for the implementation of these methods are described here in practical detail for mussel\/molluscan digestive gland or hepatopancreas and flatfish liver. Cytochemically determined latency of selected lysosomal marker enzymes is used as the measure of stability in frozen sections, and retention time of the chromogenic dye neutral red, as the measure of lysosomal integrity in live cells. Guidelines are included for sample handling, data analysis, and interpretation of results - , - Published - , - Refereed - , - Current - , - 14.A - , - 14.1 - , - Microbe biomass and diversity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/670", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/670", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/670", "url": "https:\/\/hdl.handle.net\/11329\/670" }, "author": [ { "@type": "Person", "name": "Moore, M.N." }, { "@type": "Person", "name": "Lowe, D." }, { "@type": "Person", "name": "K\u00f6hler, A." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Lysosomes", "Organic chemical contaminants", "Autophagy", "Lipofuscin", "Digestive glands", "Flatfish", "Liver", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1056", "name": "OGC Sensor Web Enablement Architecture, Version: 0.4.0.", "description": " - This document describes the architecture implemented by Open Geospatial Consortium\u2019s (OGC) Sensor Web Enablement Initiative (SWE). In contrast to other OGC SWE standards, this document is not an implementation standard. In much the same way that HTML and HTTP standards enabled the exchange of any type of information on the Web, the SWE initiative is focused on developing standards to enable the discovery of sensors and corresponding observations, exchange, and processing of sensor observations, as well as the tasking of sensors and sensor systems. The functionality that OCG has targeted within the Sensor Web includes: - Discovery of sensor systems, observations, and observation processes that meet our immediate needs - Determination of a sensor\u2019s capabilities and quality of measurements - Access to sensor parameters that automatically allow software to process and geolocate observations - Retrieval of real-time or time-series observations and coverages in standard encodings - Tasking of sensors to acquire observations of interest - Subscription to and publishing of alerts to be issued by sensors or sensor services based upon certain criteria. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1056", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1056", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1056", "url": "https:\/\/hdl.handle.net\/11329\/1056" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Enablement Architecture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/515", "name": "Remote sensing of ocean colour in coastal, and other optically-complex, waters.", "description": " - As we understand more about the optical properties of aquatic substances and their influences on ocean colour, it became possible to envisage the use of ocean-colour data to retrieve information on substances other than phytoplankton, or even to distinguish between some types of phytoplankton under favourable conditions. Ocean colour sensors are being developed with better spectral resolution, improved calibration, and higher signal-to-noise ratio. New algorithms have emerged in parallel, to address the new challenges. There has been a move towards treating the ocean-atmosphere system as a coupled system, and solving simultaneously for oceanic and atmospheric properties; the empirical algorithms for retrieval of aquatic properties are being abandoned in favour of algorithms that are soundly based on theoretical considerations; and new and powerful mathematical and statistical approaches capable of dealing with a multi-variable, non-linear system are being brought to bear on the problem. This report focuses on improving remote sensing of ocean colour in coastal, and other optically-complex, bodies of water. - , - IOCCG sponsoring space agencies - , - Published - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/515", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/515", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/515", "url": "https:\/\/hdl.handle.net\/11329\/515" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "IOCCG", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2546", "name": "ISO 17208-1:2016. Underwater acoustics \u2014 Quantities and procedures for description and measurement of underwater sound from ships Part 1: Requirements for precision measurements in deep water used for comparison purposes. Edition 1.", "description": " - This part of ISO 17208 specifies the general measurement system, procedure, and methodology used for the measurement of underwater sound from ships under a prescribed operating condition. It does not specify or provide guidance on underwater noise criteria or address the potential effects of noise on marine organisms. The resulting quantities are based on the root-mean-square sound pressure levels (SPL), herein used synonymously with sound pressure level or SPL measured in the far field of the ship and normalized to a distance of 1 m and reported in one-third octave bands (see 4.3). In this part of ISO 17208, the result of these measurements is called \u201cradiated noise level\u201d. The underwater sound pressure level measurement is performed in the geometric far field and then adjusted to the 1 m normalized distance for use in comparison with appropriate underwater noise criteria. This part of ISO 17208 is applicable to any and all underway surface vessels, either manned or unmanned. It is not applicable to submerged vessels or to aircraft. The method has no inherent limitation on minimum or maximum ship size. It is limited to ships transiting at speeds no greater than 50 kn (25,7 m\/s). The measurement method smooths the variability caused by Lloyd\u2019s mirror surface image coherence effects, but does not exclude a possible influence of propagation effects like bottom reflections, refraction and absorption. No specific computational adjustments for these effects are provided in this part of ISO 17208. A specific ocean location is not required to use this part of ISO 17208, but the requirements for an ocean test site are provided. The intended uses of the method described in this part of ISO 17208 are: to show compliance with contract requirements or criteria, for comparison of one ship to another ship, to enable periodic signature assessments, and for research and development. The intended users include government agencies, research vessel operators, and commercial ship owners. Additional post-processing would be required to use the data obtained from this measurement method for determination of the ship source levels to perform far field noise predictions such as needed for most environmental impact studies or for creating underwater noise contour maps. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2546", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2546", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2546", "url": "https:\/\/hdl.handle.net\/11329\/2546" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Ship noise", "Underwater sound", "Underwater acoustics", "Surface vessels", "Sound effects", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1286", "name": "Prevention and clean-up of Sargassum in the Dutch Caribbean.", "description": " - In 2011, the shores of several Caribbean islands and West African countries were inundated by unprecedented quantities of pelagic sargassum. Since then, influxes of this golden-brown seaweed have become a recurrent event in both the Caribbean Sea and West Africa, with observers in these regions reporting levels reaching a critical high in 2018\u201d (Hinds et al., 2016). Some piles of stranded sargassum towered several meters high on beaches, and affected bays were covered with dense floating clusters of the seaweed. Finding ways to clean-up sargassum from coastal ecosystems has become a priority for the region. The recent and likely recurring seaweed influxes have given rise to a number of socio-ecological and economic concerns, particularly in the hospitality and fisheries sectors, as well as threatening already fragile and often endangered coastal ecosystems such as mangroves and seagrass beds. The good news is that these negative effects do not seem to persist when the sargassum is removed, with the physicochemical quality of the water returning to its prior state (Anses, 2017). Cleaning-up large quantities of sargassum is however no easy or cheap feat. Strandings have so far proven to be highly variable in terms of quantity and sites affected, making these irregular events hard to predict and therefore mitigate. A recent estimate suggests that it will take at least $120 million to clean up the sargassum inundations across the Caribbean (Milledge and Harvey, 2016). \u201cThe sustainable management of sargassum influxes will require both local action and regional co-ordination and collaboration, beyond areas under national jurisdiction. A better understanding of the geographic origin, causes, spatial and temporal patterns, management options, as well as the economic potential of sargassum is necessary if adaptive strategies are to be implemented\u201d (Hinds et al., 2016). This management brief, adapted from Hinds et al. (CERMES\/ GCFI\/SPAW Management Brief, 2016), focuses on the immediate problem of clean-up after mass strandings of the weed, helping coastal communities find effective solutions for the collection and use of sargassum. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1286", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1286", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1286", "url": "https:\/\/hdl.handle.net\/11329\/1286" }, "contributor": [ { "@type": "Organization", "name": "Dutch Caribbean Nature Alliance" } ], "keywords": [ "Sargassum", "Seaweed", "Beach cleanup", "Disposal", "Containment booms", "Management brief", "Transport", "Mitigation", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1059", "name": "User Management Interfaces for Earth Observation Services, Version 1.0.", "description": " - This OGC Best Practice is complementary to a set of OGC Services and related standards and specifications that describe services for managing Earth Observation (EO) data products. These services include collection level, and product level catalogues, online-ordering for archived and to be acquired (future) products, on-line access to these EO products, etc. The application of the current Best Practice is not limited to the Earth Observation domain however, as this document can be considered as a model which could be extended to other OGC application domain and to other bindings beyond the SOAP and HTTP ones described in the following. The intent of this Best Practice is to describe an identity management interface that can be implemented and supported by many data providers (satellite operators, data distributors \u2026), most of whom have existing (and relatively complex) facilities for the management of their data and users. The proposed strategy is to specify a platform and provider independent interface using existing standards. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1059", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1059", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1059", "url": "https:\/\/hdl.handle.net\/11329\/1059" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Earth Observations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/613", "name": "Guidance to Manage the Risk to Marine Mammals from Man-made Sound Sources in Irish Waters.", "description": " - There has been increasing concern internationally about the potentially harmful effect of man-made sound on the marine environment and species therein that could be sensitive to it. Sound that is derived from human activities (i.e., anthropogenic sound) is not the sole noise source above or below the sea surface. Nevertheless, the level of man-made sound in coastal and marine environments is commonly reported to be increasing, a trend that is partly attributed to a growth in commercial shipping activity1 . Whether it is intended or not, the introduction of man-made sound into the environments occupied by marine mammals (e.g., whales, dolphins, seals) carries with it a potential adverse impact2 . The properties of water allow sounds of various kinds to travel great distances3 across diverse habitats and depth strata. Marine mammals, having evolved from terrestrial predecessors, have adapted to life in the sea by being able to exploit sound properties in water very effectively for their own primary sensory use4 . For example, they depend on and utilise sound for a wide range of critical natural functions including navigation and perception of their environment, communication, prey identification and capture, and the detection of predators. The hearing system of marine mammals, being highly sensitive and adapted to respond to changes in pressure in an aquatic environment, is particularly susceptible to damage3 . The possibility of permanent or even lethal injury in marine mammals as a result of man-made sound has received considerable attention in the scientific and public spheres, due to a number of beaked whale stranding events apparently associated with military use of mid-frequency sonar in the area1,5,6,7,8 . Yet many more routine anthropogenic sounds in the sea, for example seismic surveys9 , pile driving or chemical explosions3,10 , can also cause significant disruption of normal behaviour by marine mammal species. At least 26 species of marine mammal are known to occur in Irish waters. Two seal species, the Grey seal (Halichoerus grypus) and Harbour seal (Phoca vitulina, also known as Common seal) breed around all shorelines of Ireland and use the coastal and offshore waters in their daily lives for foraging, transit between terrestrial resting places (known as haul-out sites), and other behaviours linked to their annual life cycles (e.g., social behaviour, territoriality). Twenty-four species of cetacean (i.e., whales, dolphins and porpoises) have been recorded from Ireland11, 18 of which are more commonly observed, while the remaining six species have rarely been recorded and are currently classed as vagrant (i.e., species well outside their normal natural range). Some species can occur close to shore, and may be found within enclosed bays, harbours and estuaries, such as Dingle Harbour or the Shannon Estuary. Others (e.g., Blue whale, Sperm whale, Humpback whale) may be highly migratory and show a preference for deeper water offshore habitats, or travel hundreds or thousands of kilometres between winter breeding and summer foraging locations, occupying Irish waters during part of their annual cycle. Marine mammals occurring in Ireland have been the focus of considerable research effort over the last three decades and the understanding of species occurrence, abundance and distribution has improved markedly. While detailed knowledge of breeding, foraging, movements and other aspects of the natural history of many Irish species remain to be described, some useful sources summarising the current knowledge and distribution of Irish populations include: Cetaceans NPWS (2008): The status of EU Protected Habitats and Species in Ireland Pollock et al. (1997): Distribution of seabirds and cetaceans in the waters around Ireland Reid et al. (2003): Atlas of cetacean distribution in north-west European waters \u00d3 Cadhla et al. (2004): Cetaceans & seabirds of Ireland\u2019s Atlantic Margin \u2013 Volume II 3 O\u2019Brien et al. (2009): Cetaceans in Irish waters: a review of recent research DEHLG (2009): Conservation Plan for Cetaceans in Irish Waters Berrow et al. (2010): Irish Cetacean Review (2000-2009) Wall et al. (2013): Atlas of the distribution &relative abundance of marine mammals in Irish offshore waters Seals NPWS (2008): The status of EU Protected Habitats and Species in Ireland Cronin et al. (2004): Harbour seal population assessment in the Republic of Ireland - August 2003 \u00d3 Cadhla et al. (2008): An assessment of the breeding population of grey seals in the Republic of Ireland \u00d3 Cadhla & Strong (2007): Grey seal moult population survey in the Republic of Ireland Due to concerns regarding the potential detrimental effect on these animals from certain types of acoustic survey equipment, the Department of the Environment, Heritage and Local Government, through review and consultation with key stakeholders, developed a \u201cCode of Practice for the Protection of Marine Mammals during Acoustic Seafloor Surveys in Irish Waters\u201d in August 2007. The following guidance sets out to address several key potential sources of anthropogenic sound that may impact detrimentally upon marine mammals in Irish waters. It incorporates a re-examination of the Code of Practice for acoustic surveys and thereby provides replacement guidance and mitigation measures in this respect. The document will be subject to periodic review to allow its efficacy to be reassessed, to consider new scientific findings and incorporate further developments in best practice. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - Marine turtles, birds, mammals abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/613", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/613", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/613", "url": "https:\/\/hdl.handle.net\/11329\/613" }, "contributor": [ { "@type": "Organization", "name": "Department of Arts, Heritage and the Gaeltacht" } ], "keywords": [ "Man-induced effects", "Underwater sound", "Marine mammals", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2250", "name": "On the Use of Maps and Models in Conservation and Resource Management (Warning: Results May Vary).", "description": " - Conservation planning and management typically require accurate and spatially explicit data at scales that are relevant for conservation objectives. In marine conservation, these data are often combined with spatial analytical techniques to produce marine habitat maps. While marine habitat mapping is increasingly used to inform conservation efforts, this \ufb01eld is still relatively young and its methods are rapidly evolving. Because conservation efforts do not always specify standards or guidelines for the production of habitat maps, results can vary dramatically. As representations of real environmental characteristics, habitat maps are highly sensitive to how they are produced. In this review paper, I present four concepts that are known to cause variation in spatial representation and prediction of habitats: the methodology used, the quality and scale of the data, and the choice of variables in regards to \ufb01tness for use. I then discuss the potential antinomy associated with the use of habitat maps in conservation: while habitat maps have become an invaluable tool to inform and assist decision-making, maps of the same area built using different methods and data may provide dissimilar representations, thus providing different information and possibly leading to different decisions. Exploring the theories and methods that have proved effective in terrestrial conservation and the spatial sciences, and how they can be integrated in marine habitat mapping practices, could help improve maps used to support marine conservation efforts and result in more reliable products to inform conservation decisions. Having a strong, consistent, transparent, repeatable, and science-based protocol for data collection and mapping is essential for effectively supporting decision-makers in developing conservation and management plans. The development of user-friendly tools to assist in the application of such protocol is crucial to a widespread improvement in practices. I discuss the potential to use interactive and collaborative Geographic Information Systems (GIS) to encourage the conservation and management community, from data collectors and mapmakers to decision-makers, to move toward a digital resilience and to develop such science-based protocol. Until standards and protocols are developed, habitat maps should always be interpreted with care, and the methods and metadata associated with their production should always be explicitly stated. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2250", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2250", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2250", "url": "https:\/\/hdl.handle.net\/11329\/2250" }, "author": [ { "@type": "Person", "name": "Lecours, Vincent" } ], "keywords": [ "Habitat maps", "Geographic Information Systems (GIS)", "Marine conservation", "Specie distribution modelling", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/784", "name": "Performance Demonstration Statement Contros HydroC\/CO2.", "description": " - Alliance for Coastal Technology (ACT) demonstration projects are designed to characterize performance of relatively new and promising instruments for applications in coastal science, coastal resource management and ocean observing. ACT has evaluated four commercial pCO2 instruments that are capable of being moored for weeks to months. This document is termed a \u201cDemonstration Statement\u201d and provides a summary of the results for the Contros HydroC\u2122 \/CO2. Briefly, test instruments were mounted on surface moorings in a temperate stratified estuary (Twanoh Buoy, Hood Canal Washington; August-September 2009; http:\/\/orca.ocean.washington.edu\/mooringDesign.html;) and a coral reef (Kaneohe Bay Hawaii; October-November 2009; http:\/\/www.pmel.noaa.gov\/co2\/coastal\/HI\/). The sites were chosen based on existing moorings and the expected rapid changes in seawater temperature and pCO2. Water samples were collected to determine pH and Total Alkalinity (TA) for calculation of pCO2 (CO2Sys; Pierrot et.al. 2006) and direct measurements of pCO2 using a flow-through pCO2 analyzer (Oregon State University; gas equilibration and infrared gas detection). In situ pCO2 measurements are compared to both of these references and estimates of analytical and environmental variability are reported. Quality Assurance (QA) and oversight of the demonstration process was accomplished by the ACT QA specialists, who conducted technical, protocol and data quality audits. At Twanoh buoy, Hood Canal, temperature varied from 11.09 to 19.62 oC and salinity varied from 24.3 to 35.2 over the deployment. Measure pCO2 values of reference samples varied from 334 to 488 \u00b5atm while the hourly measured values from the HydroC\u2122 \/CO2 varied from about 200 to 820 \u00b5atm providing a more complete assessment of the variability in the ecosystem. The mean and standard deviation of the difference for individual HydroC\u2122 \/CO2 values and the Flow Analyzer reference measurements were -7 \u00b1 20 \u00b5atm (n=29; HydroC\u2122 \/CO2 - Flow Analyzer). The mean and standard deviation of the difference for individual HydroC\u2122 \/CO2 determinations and the pCO2Sys reference measurements were -16 \u00b1 26 \u00b5atm (n=37; HydroC\u2122 \/CO2 - pCO2Sys). At NOAA Crimp 2 buoy, Kaneohe Bay, temperature varied from 23.24 to 28.27 oC and salinity varied from 34.1 to 35.2 over the deployment. Measured pCO2 values of reference samples varied from 314 to 608 \u00b5atm, while the hourly instrument measurements varied from 360 to 900 \u00b5atm, again demonstrating the full variability in the ecosystem. The mean and standard deviation of the difference for individual HydroC\u2122 \/CO2 determinations and the Flow Analyzer measurements were +55 \u00b1 17 \u00b5atm (n=5; HydroC\u2122 \/CO2 - Flow Analyzer). The mean and standard deviation of the difference for individual HydroC\u2122 \/CO2 determinations and the pCO2Sys reference measurements were +96 \u00b1 25 \u00b5atm (n=37; HydroC\u2122 \/CO2 - pCO2Sys). Both of the instrument systems tested functioned throughout the month long test period, and 100 percent of expected data were retrieved. Issues with shipping and customs did result in a delayed start of the deployment at Hawaii by 6 days. The time-series data provided by the instruments (n=504 and 436 for HI and WA, respectively) revealed diel patterns in pCO2 and captured a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. There were no changes in the differences between instrument and reference measurements during either test, indicating that biofouling and instrument drift did not affect measurement performance over the duration of the test - , - Published - , - Refereed - , - Current - , - Carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/784", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/784", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/784", "url": "https:\/\/hdl.handle.net\/11329\/784" }, "author": [ { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2614", "name": "White paper on advances in Absolute Salinity measurements.Version 4.0. MINKE Deliverable 9.1.", "description": " - This document is MINKE\u2019s Deliverable 9.1: \u201cWhite paper on advances in Absolute Salinity measurements\u201d. It describes the state-of-the-art in the measurement of Absolute Salinity in seawater. - , - European Comission Grant Agreement No. 101008724 - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2614", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2614", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2614", "url": "https:\/\/hdl.handle.net\/11329\/2614" }, "author": [ { "@type": "Person", "name": "Le Menn, Marc" }, { "@type": "Person", "name": "Seitz, Steffen" }, { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Ntoumas, Manolis" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "Salinity meassurement", "Uncertaintities", "MINKE Project", "Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/570", "name": "Test, Evaluation, and Implementation of Current Measurement Systems on Aids-To-Navigation.", "description": " - The Physical Oceanographic Real-Time System (PORTS\u00ae) is a program of the National Ocean Service\u2019s Center for Operational Oceanographic Products and Services (NOS\/CO-OPS). PORTS\u00ae provides real-time marine environmental information to support safe and efficient maritime commerce and informed coastal resource management. In response to user requests for water current information near navigation channels, CO-OPS entered into a partnership with the U.S. Coast Guard (USCG) to place current measurement systems on existing USCG aids-to-navigation (ATON) buoys. This document describes measurement and communication technologies employed, the design considerations which ensure that the PORTS\u00ae payload does not interfere with the primary mission of the buoys, the system test and evaluation undertaken, the field procedures for installation, repair and maintenance of the systems, the data flow configuration, data quality control procedures, and finally, the products generated and disseminated to the public from these current measurement systems. The system, developed from commercial off-the-shelf (COTS) technology, consists of a \u201cclamparatus\u201d (produced by the Oceanscience Group) that secures a current profiler (manufactured by Nortek) and electronics box to the buoy. The entire package weighs ~200 pounds and is easily deployed using a small boat and a block and tackle. Data are sent to shore via spread spectrum radios. Deployments of up to seven months have been achieved thanks to the low power consumption of both the profiler and radios. This system satisfies the maritime community\u2019s requirements for current information within navigation channels, while removing the restraints of previous current meter placements, which were limited by cable length and the need to stay out of the channel. Underwater cable to shore has long been a PORTS\u00ae operations weak link because cables are often snagged and broken. The ATON-mounted system complies with all USCG requirements. The most important concern is ensuring that the system does not interfere with ATON utility or maintenance. Other USCG requirements include: a completely battery powered system; the ability to deploy and recover with the buoy on station; the ability to remove the entire package prior to ATON servicing; the use of allsimilar metals and coloration; and minimal alteration of buoy profile and characteristics. NOS\/CO-OPS uses the David Taylor Model Basin to evaluate all acoustic Doppler current profilers (ADCPs). Current profilers are mounted to a carriage that travels through the tank at precise speeds; the current speed recorded by the profiler is then compared to the carriage speed. CO-OPS policy requires that all Nortek current profilers used in ATON current measurement system be tow-tested at David Taylor before operational use. The David Taylor tests showed a mean speed difference of between one centimeter per second (cm\/s) and five cm\/s, depending on the carriage speed and Nortek bin sampled. These results are completely in line with current profilers of other manufacturers used by CO-OPS. CO-OPS performed a field intercomparison in the Potomac River in about 60 feet of water. A bottom-mounted RD Instruments 600 kilohertz (KHz) Workhorse ADCP configured with one-meter bins was located approximately 250 meters north of the Nortek one-megahertz (MHz) Aquadopp current profiler mounted on Buoy B at Piney Point. The Nortek was also configured with one-meter bins. Performance was evaluated by comparing the differences in current speed and direction. The speeds compare very well, within the anticipated error of individual instruments. There was no obvious bias in the ATON, with the mean difference being ~ 3 cm\/s equals 0.06 knots. The results of comparisons with current directions from bottom-mounted current profilers show agreement to within +\/-21\u00b0 (standard deviation of 26\u00b0) when all data are included. The difference improves to 12\u00b0 when speeds less than one-quarter knot are omitted. These results are encouraging, considering three general categories of source of differences between the two direction measurements: 1) the error in bottom mount direction; 2) the error in ATON direction; and 3) the real environmental differences between the respective volumes of water. CO-OPS performed another intercomparison at the mouth of the Freeport River, Texas, in about 11 meters of water. Data from a bottom-mounted ADCP located about 70 meters from an ATON-mounted profiler were analyzed. As in the Piney Point comparison, an RD Instruments 600 KHz Workhorse ADCP configured with one-meter bins was deployed in a bottom mount to evaluate the Nortek oneMHz Aquadopp profiler mounted on Buoy 6, which was also configured to sample one-meter bins. The mean speed difference was ~3 cm\/s with no bias observed. The Freeport River empties into the Gulf of Mexico and, although the flow in the region is not tidally dominated, the rapid reversals in the alongshore current are evident in both records of direction. In spite of large directional differences at times of current reversal, the mean direction difference was ~15\u00b0 and ~12\u00b0 when only times with speeds greater than one-quarter knot are considered.The general navigation requirements are for reported current speeds to be accurate to within +\/- 0.10 knot and direction accurate to within +\/- 15\u00b0 in order to aid in the maneuvering of large vessels. The ATON-mounted current measurement system, as designed and deployed with the recommended procedures, meets these speed and direction requirements. The authors recommend that CO-OPS senior management approve the ATON current measurement system for use in PORTS\u00ae and begin the operational dissemination of the data via the web, phone and text pages (CO-OPS homepage). Additional system testing (outlined in Section 8.0) is recommended. As presented in this report, the ATON current measurement system provides the navigation community with important data in those areas where it is impracticable to use either the traditional bottom-mounted or sidelooking current profilers. CO-OPS management personnel have reviewed this document and concur that the evaluated sensor\/system, when deployed and implemented as described, meets the defined requirements and is suitable for operational use. While additional testing may lead to superior performance or more economical operation, the existing sensor\/system configuration is sufficient as described. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/570", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/570", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/570", "url": "https:\/\/hdl.handle.net\/11329\/570" }, "author": [ { "@type": "Person", "name": "Bosley, K.T." }, { "@type": "Person", "name": "McGrath, C." }, { "@type": "Person", "name": "Dussault, J.P." }, { "@type": "Person", "name": "Bushnell, M." }, { "@type": "Person", "name": "Evans, M.J." }, { "@type": "Person", "name": "French, G.W." }, { "@type": "Person", "name": "Earwaker, K." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1712", "name": "Satellites will address critical science priorities for quantifying ocean carbon.", "description": " - The ability to routinely quantify global carbon dioxide (CO2) absorption by the oceans has become crucial: it provides a powerful constraint for establishing global and regional carbon (C) budgets, and enables identification of the ecological impacts and risks of this uptake on the marine environment. Advances in understanding, technology, and international coordination have made it possible to measure CO2 absorption by the oceans to a greater degree of accuracy than is possible in terrestrial landscapes. These advances, combined with new satellite-based Earth observation capabilities, increasing public availability of data, and cloud computing, provide important opportunities for addressing critical knowledge gaps. Furthermore, Earth observation in synergy with in-situ monitoring can provide the large-scale ocean monitoring that is necessary to support policies to protect ocean ecosystems at risk, and motivate societal shifts toward meeting C emissions targets; however, sustained effort will be needed. - , - Refereed - , - 14.a - , - Inorganic carbon - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1712", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1712", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1712", "url": "https:\/\/hdl.handle.net\/11329\/1712" }, "author": [ { "@type": "Person", "name": "Shutler, Jamie D." }, { "@type": "Person", "name": "Wanninkhof, Rik" }, { "@type": "Person", "name": "Nightingale, Philip D." }, { "@type": "Person", "name": "Woolf, David K." }, { "@type": "Person", "name": "Bakker, Dorothee C.E." }, { "@type": "Person", "name": "Watson, Andy" }, { "@type": "Person", "name": "Ashton, Ian" }, { "@type": "Person", "name": "Holding, Thomas" }, { "@type": "Person", "name": "Chapron, Bertrand" }, { "@type": "Person", "name": "Quilfen, Yves" }, { "@type": "Person", "name": "Fairall, Chris" }, { "@type": "Person", "name": "Schuster, Ute" }, { "@type": "Person", "name": "Nakajima, Masakatsu" }, { "@type": "Person", "name": "Donlon, Craig J," } ], "keywords": [ "Satellite based earth observation", "CO2", "Carbon dioxide", "Ocean acidification", "Carbon, nitrogen and phosphorus", "Satellite sensing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2259", "name": "Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry.", "description": " - Bottomfast sea ice is an integral part of many near-coastal Arctic ecosystems with implications for subsea permafrost, coastal stability and morphology. Bottomfast sea ice is also of great relevance to over-ice travel by coastal communities, industrial ice roads, and marine habitats. There are currently large uncertainties around where and how much bottomfast ice is present in the Arctic due to the lack of effective approaches for detecting bottomfast sea ice on large spatial scales. Here, we suggest a robust method capable of detecting bottomfast sea ice using spaceborne synthetic aperture radar interferometry. This approach is used to discriminate between slowly deforming floating ice and completely stationary bottomfast ice based on the interferometric phase. We validate the approach over freshwater ice in the Mackenzie Delta, Canada, and over sea ice in the Colville Delta and Elson Lagoon, Alaska. For these areas, bottomfast ice, as interpreted from the interferometric phase, shows high correlation with local bathymetry and in-situ ice auger and ground penetrating radar measurements. The technique is further used to track the seasonal evolution of bottomfast ice in the Kasegaluk Lagoon, Alaska, by identifying freeze-up progression and areas of liquid water throughout winter. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Polarimetric SAR (PolSAR) - , - Synthetic aperture radar (SAR) - , - Synthetic aperture radar interferometry (InSAR) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2259", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2259", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2259", "url": "https:\/\/hdl.handle.net\/11329\/2259" }, "author": [ { "@type": "Person", "name": "Dammann, Dyre O." }, { "@type": "Person", "name": "Eriksson, Leif E. B." }, { "@type": "Person", "name": "Mahoney, Andrew R." }, { "@type": "Person", "name": "Stevens, Christopher W." }, { "@type": "Person", "name": "van der Sanden, Joost" }, { "@type": "Person", "name": "Eicken, Hajo" }, { "@type": "Person", "name": "Meyer, Franz J." }, { "@type": "Person", "name": "Tweedie, Craig E." } ], "keywords": [ "Sea Ice", "Bottomfast ice", "Landfast sea ice", "SAR", "Cryosphere", "synthetic aperture radars", "Data analysis", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/108", "name": "Proceedings of the Ice Analysts Workshop, Rostock, Germany, 12-17 June 2008.", "description": " - sea ice - , - These are the Proceedings of the Ice Analysts Workshop, Rostock, Germany, 12-17 June 2008. CD ROM and available ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-43-IAW-2008\/. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-43-IAW-2008\/ - , - SOOPIP to review (Gustavo Goni) - , - CD ROM and available ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-43-IAW-2008\/ - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/108", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/108", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/108", "url": "https:\/\/hdl.handle.net\/11329\/108" }, "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Sea ice analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1020.3", "name": "The Nansen Legacy Sampling Protocols, Version 10.", "description": " - The collection of detailed sampling protocols is crucial tool for the success of the Nansen Legacy, because they ensure: Methodological agreement between the involved researchers Continuity and comparable data throughout the 5 years sampling period An easily accessible overview over parameters sampled Easier cruise planning - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Best Practice - , - Standard Operating Procedure - , - Multi-organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1020.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1020.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1020.3", "url": "https:\/\/hdl.handle.net\/11329\/1020.3" }, "contributor": [ { "@type": "Organization", "name": "Septentrio Academic Publishing" } ], "keywords": [ "Sampling", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2262", "name": "Sampling of basement fluids via Circulation Obviation Retrofit Kits (CORKs) for dissolved gases, fluid fixation at the seafloor, and the characterization of organic carbon.", "description": " - The advanced instrumented GeoMICROBE sleds (Cowen et al., 2012) facilitate the collection of hydrothermal fluids and suspended particles in the subseafloor (basaltic) basement through Circulation Obviation Retrofit Kits (CORKs) installed within boreholes of the Integrated Ocean Drilling Program. The main components of the GeoMICROBE can be converted into a mobile pumping system (MPS) that is installed on the front basket of a submersible or remotely-operated-vehicle (ROV). Here, we provide details of a hydrothermal fluid-trap used on the MPS, through which a gastight sampler can withdraw fluids. We also applied the MPS to demonstrate the value of fixing samples at the seafloor in order to determine redox-sensitive dissolved iron concentrations and speciation measurements. To make the best use of the GeoMICROBE sleds, we describe a miniature and mobile version of the GeoMICROBE sled, which permits rapid turn-over and is relatively easy for preparation and operation. Similar to GeoMICROBE sleds, the Mobile GeoMICROBE (MGM) is capable of collecting fluid samples, filtration of suspended particles, and extraction of organics. We validate this approach by demonstrating the seafloor extraction of hydrophobic organics from a large volume (247L) of hydrothermal fluids. \u2022 We describe the design of a hydrothermal fluid-trap for use with a gastight sampler, as well as the use of seafloor fixation, through ROV- or submersible assisted mobile pumping systems. \u2022 We describe the design of a Mobile GeoMICROBE (MGM) that enhances large volume hydrothermal fluid sampling, suspended particle filtration, and organic matter extraction on the seafloor. \u2022 We provide an example of organic matter extracted and characterized from hydrothermal fluids via a MGM. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Flow sensor with Polyvinylidene fluoride (PVDF) wetted parts - , - Mobile pumping system - , - Mobile GeoMICROBE - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2262", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2262", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2262", "url": "https:\/\/hdl.handle.net\/11329\/2262" }, "author": [ { "@type": "Person", "name": "Lin, Huei-Ting" }, { "@type": "Person", "name": "Hsieh, Chih-Chiang" }, { "@type": "Person", "name": "Repeta, Daniel J." }, { "@type": "Person", "name": "Rapp\u00e9, Michael S." } ], "keywords": [ "Hydrothermal fluid sampling", "Submersible", "Remotely-operated-vehicle (ROV)", "Hydrophobic organics", "Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/923", "name": "The Dissolved Oxygen Handbook: a practical guide to dissolved oxygen measurements.", "description": " - This booklet describes in detail the different types of dissolved oxygen sensing technologies available. It also covers, in general terms, recommended calibration methods, regular maintenance procedures that can be performed by the user and how to take a measurement in order to obtain accurate data. For instrument specific instructions and recommendations, please refer to the instrument\u2019s instruction manual. - , - Published - , - Current - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/923", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/923", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/923", "url": "https:\/\/hdl.handle.net\/11329\/923" }, "contributor": [ { "@type": "Organization", "name": "YSI Incorporated" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/678", "name": "Determination of alkyl phenol metabolites in fish bile using solid-phase analytical derivatization (SPAD) and gas chromatography-mass spectrometry in electron ionization mode (GC-EI-MS).", "description": " - This document provides advice on the analysis of alkylphenol (AP) metabolites in fish bile. APs are released to aquatic environments from many different sources related to human activities, such as offshore oil production. The method for determination of APs includes enzymatic deconjugation of fish bile followed by solid\u2010phase analytical derivatization (SPAD) with bis(trimethylsilyl)\u2010 trifluoroacetamide (BSTFA). The derivatized APs are separated, then quantified using gas chromatography\u2013mass spectrometry in the electron ionization mode (GC\u2013 EI\u2013MS). Quality control measures should be implemented to ensure good performance of the method. This GC\u2013EI\u2013MS method allows for a selective and sensitive analytical detection of APs in fish bile. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/678", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/678", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/678", "url": "https:\/\/hdl.handle.net\/11329\/678" }, "author": [ { "@type": "Person", "name": "Jonsson, Grete" }, { "@type": "Person", "name": "N\u00e6vdal, Atle" }, { "@type": "Person", "name": "Beyer, Jonny" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/579", "name": "Ocean Systems Test and Evaluation Program : Microwave Air Gap - Bridge Clearance Sensor Test, Evaluation and Implementation Report.", "description": " - The National Ocean Service (NOS) Center for Operational Oceanographic Products and Services (CO-OPS) manages several programs to monitor the Nation's coastal waters, including PORTS\u00ae (Physical Oceanographic Real-Time System). PORTS\u00ae provides ship masters and pilots with accurate, real-time information to help avoid groundings and collisions. CO-OPS requires an expanding suite of instruments to provide critical data from bays and harbors to support the maritime community. Many harbors are depth-constrained, and many bridge heights also limit safe vessel passage. With increasing vessel size and vessel traffic, there is a continually increasing risk of overhead allision with bridges. Some vessels may also avoid entering or departing a harbor because of bridge clearance (i.e. air gap) limitations. The economic gains potentially realized by both increased commerce and the avoidance of allisions are considerable, and a clear requirement for air gap information has been voiced by the maritime industry. Concerns over bridge allisions and resulting litigation prompted the Port Authority of New York and New Jersey (PANYNJ), the United States Coast Guard (USCG), the Maryland Port Administration (MPA) and the Port of Long Beach (PLB) to request and\/or fund the development and installation of air gap sensors. Houston\/Galveston and San Francisco have also expressed interest in air gap sensors. In response to these requests, CO-OPS has entered into agreements with several entities to procure a commercially available microwave air gap sensor and conduct tests and evaluations to ensure satisfactory performance of the sensor. CO-OPS evaluated three types of air gap sensor technologies that measure the air gap, (or distance from the lowest structure of a bridge to the water surface) within the navigational zone. Based on these evaluations, the microwave air gap bridge clearance sensor technology best meets the requirements for this need. After evaluations and dialogue with vendors, CO-OPS selected the MIROS SM-094 microwave air gap sensor to further test for air gap measurement applications. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/579", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/579", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/579", "url": "https:\/\/hdl.handle.net\/11329\/579" }, "author": [ { "@type": "Person", "name": "Bushnell, M." }, { "@type": "Person", "name": "Bosley, K." }, { "@type": "Person", "name": "Mero, T." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2610", "name": "Chemical Reference Materials for Oceanography: History, Production, and Certification.", "description": " - Concentrations of inorganic macro-nutrients, carbonate system parameters (total alkalinity, pH, the concentration of dissolved inorganic carbon, and the partial pres- sure of CO2 ), salinity, and the concentration of dissolved oxygen are important char- acteristics of seawater that can be used to define biogeographic provinces, monitor ocean health, and detect decadal-scale changes of oceanic climate. Without reference materials for these parameters, it is difficult to produce reliable datasets or carry out long-term baseline studies that are essential to quantify the extent to which changes in the marine environment may have occurred. This book will provide readers with the latest information about reference materials (RMs) and certified RMs (CRMs) and the knowledge of how to use the RMs\/CRMs in their studies. We also describe efforts to develop new reference materials for density, dissolved oxygen, dissolved organic carbon (DOC), dissolved organic matter (DOM), and trace metals, which are also important in oceanographic studies. The lead authors of each of these chapters are top scientists in the respective fields. This book will therefore be a comprehensive characterization of chemical reference materials for ocean science written by top experts in each field. This book does not provide a standard definition of a \u201cCRM\u201d. Metrologists may argue that a CRM can only be a product that is manufactured in accordance with the International Organization for Standardization (ISO) guidelines. However, there may be an RM that is distributed widely within a discipline and is used sufficiently to maintain comparability of measurements. In that case, the term CRM is used to refer to a conventionally designated RM. In fact, some RMs are used as CRMs in oceanography. Although the term \u201cCRM\u201d is clearly defined in each chapter, it should be noted that there are some differences in the meaning of CRM between disciplines - , - Published - , - Refereed - , - Current - , - 14.a - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Dissolved organic carbon - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Total Alkalinity - , - pH - , - Trace metals - , - Dissolved organic matter - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2610", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2610", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2610", "url": "https:\/\/hdl.handle.net\/11329\/2610" }, "contributor": [ { "@type": "Organization", "name": "Springer" } ], "keywords": [ "Carbonate system", "Certified reference materials (CRM)", "Reference materials (RM)", "Measurement comparability", "Seawater", "Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1527", "name": "Code of Conduct for Responsible Fisheries.", "description": " - In recent years, world fisheries have become a market-driven, dynamically developing sector of the food industry and coastal States have striven to take advantage of their new opportunities by investing in modern fishing fleets and processing factories in response to growing international demand for fish and fishery products. By the late 1980s it became clear, however, that fisheries resources could no longer sustain such rapid and often uncontrolled exploitation and development, and that new approaches to fisheries management embracing conservation and environmental considerations were urgently needed. The situation was aggravated by the realization that unregulated fisheries on the high seas, in some cases involving straddling and highly migratory fish species, which occur within and outside EEZs, were becoming a matter of increasing concern. The Committee on Fisheries (COFI) at its Nineteenth Session in March 1991 called for the development of new concepts which would lead to responsible, sustained fisheries. Subsequently, the International Conference on Responsible Fishing, held in 1992 in Canc\u00fan (Mexico) further requested FAO to prepare an international Code of Conduct to address these concerns. The outcome of this Conference, particularly the Declaration of Canc\u00fan, was an important contribution to the 1992 United Nations Conference on Environment and Development (UNCED), in particular its Agenda 21. Subsequently, the United Nations Conference on Straddling Fish Stocks and Highly Migratory Fish Stocks was convened, to which FAO provided important technical back-up. In November 1993, the Agreement to Promote Compliance with International Conservation and Management Measures by Fishing Vessels on the High Seas was adopted at the Twenty-seventh Session of the FAO Conference. Noting these and other important developments in world fisheries, the FAO Governing Bodies recommended the formulation of a global Code of Conduct for Responsible Fisheries which would be consistent with these instruments and, in a non-mandatory manner, establish principles and standards applicable to the conservation, management and development of all fisheries. The Code, which was unanimously adopted on 31 October 1995 by the FAO Conference, provides a necessary framework for national and international efforts to ensure sustainable exploitation of aquatic living resources in harmony with the environment. FAO, in accordance with its mandate, is fully committed to assisting Member States, particularly developing countries, in the efficient implementation of the Code of Conduct for Responsible Fisheries and will report to the United Nations community on the progress achieved and further action required. - , - Published - , - Refereed - , - Current - , - 14.4 - , - Fish abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1527", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1527", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1527", "url": "https:\/\/hdl.handle.net\/11329\/1527" }, "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO))" } ], "keywords": [ "Fisheries", "Code of Conduct", "FAO", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2037", "name": "Making science happen: A new ambition for Research Infrastructures in the European Research Area.", "description": " - The European Strategy Forum on Research Infrastructures (ESFRI) was established in 2002 with the purpose of developing a European approach to Research Infrastructure policy as a key element of the emerging European Research Area (ERA). Its work has radically transformed the availability of state-of-the-art facilities for researchers by making common investments easier at regional, national and European levels, reinforcing Europe\u2019s global leadership in this field. Europe has now at its disposal a rich landscape of Research Infrastructures (RIs) covering all scientific domains, with over 50 European Research Infrastructures mobilising close to \u20ac 20 billion worth of common investments. Europe\u2019s Research Infrastructures are decisive for our capacity to deliver scientific breakthroughs and to foster innovation. At the same time, given the broad agreement on the need to rapidly address the societal challenges facing Europe and the world, science has an important mission to lead and prepare the necessary economic, social and environmental transitions. The renewal of the European Research Area will be key to this mission and ESFRI has therefore reflected on how to foster the further development of a European Research Infrastructure system capable of effectively supporting the enabling role of research and innovation for achieving Europe\u2019s wider policy goals. This document represents the outcomes of the reflection process over the last 15 months, engaging national authorities of EU Member States (MS) and Associated Countries (AC), the European Commission (EC) and the scientific community. It has clearly shown that we have been - , - European Union Horizon 2020 - , - Published - , - Non Refereed - , - Current - , - 14.a - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2037", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2037", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2037", "url": "https:\/\/hdl.handle.net\/11329\/2037" }, "contributor": [ { "@type": "Organization", "name": "European Strategy Forum on Research Infrastructures" } ], "keywords": [ "Research infrastructures", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/737", "name": "Performance Verification Statement for JFE AROUSB AND AROW-USB Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification included several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (4, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the results of two different models of the JFE Advantech RINKO optical dissolved oxygen sensors (AroUSB and AroW- USB). Both models were tested in all Laboratory trials and the fast-response AroUSB was used in the field profiling application, while the wiper based AroW-USB was used in the extended field mooring applications. Instrument accuracy and precision for the AroUSB and AroW-USB sensors were tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The laboratory testing set-up did result in bubbles from the sparging gases used to change DO levels occasionally becoming trapped on the sensor foil and those data where noted were excluded from any comparisons to reference samples. The means of the difference between the AroUSB and reference measurement for the nine trials ranged from -0.277 to 0.265 mg\/L. A linear regression of the accepted data (n=377; r2 = 0.965; p<0.0001) produced a slope of 1.015 and intercept of 0.098. For the AroUSB, the absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.002 \u2013 0.014 mg\/L across trials with an overall average of 0.004 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.013 \u2013 0.278 percent across trials with an overall average of 0.058%. The means of the difference between the AroW-USB and reference measurements ranged from -0.277 to 0.134 mg\/L across all trials. A linear regression of the accepted data (n=257; r2 = 0.976; p<0.0001) produced a slope of 0.969 and intercept of 0.114. The absolute precision for the AroW-USB were ranged from 0.001 \u2013 0.012 across trials, with an overall average of 0.004 and the relative precision ranged from 0.017 \u2013 0.247 percent across trials with an overall average of 0.051%. For the 56 day lab stability test, the overall mean of the differences between AroUSB and reference measurements was 0.001 (\u00b1 0.326) mg\/L. There was no significant trend in accuracy over time (slope = -0.0007 mg\/L\/d) that would indicate any type of performance drift over the duration. The overall mean of the differences between AroW-USB and reference measurements was -0.154 (\u00b1 0.319) mg\/L. There was a minor drift in instrument accuracy over the deployment (slope = -0.006 mg\/L\/d; r2=0.17) but the goodness of fit was low due to several outliers.For the lab-based functional response time assessment, the calculated \u03c490 for the AroUSB was 11.8 s during high to low transitions and 7.1 s for low to high transitions covering a DO range of approximately 8 mg\/L at a constant 15 oC. However, as noted in the report we incorrectly programmed the sampling rate to 10 seconds which would have a direct impact on the calculated response rate. For the AroW-USB the calculated \u03c490 was 209 s during high to low transitions and 284 s for low to high transitions for the same conditions. At Houghton, MI the field test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The measured DO range from our 118 discrete reference samples was 10.25 \u2013 14.01 mg\/L compared to a range of 8.669 \u2013 15.076 mg\/L reported by the AroW- USB over its 9859 observations conducted continuously at 15 minute intervals. The useable data return for the deployment was 100%. The average and standard deviation of the measurement difference between the AroW-USB and reference samples over the total deployment was 0.170 \u00b10.057 mg\/L with a total range of 0.055 to 0.309 mg\/L. A drift rate in instrument response, estimated by linear regression (r2=0.325, p<0.001) of the difference across time, was -0.001 mg\/L\/d but directionally getting closer to the Winkler reference values. At the Chesapeake Biological Lab, the field test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The measured DO range from our 142 discrete reference samples was 4.370 \u2013 10.858mg\/L compared to a range of 2.610 \u2013 14.510 mg\/L reported by the AroWUSB over its 7270 continuous observations conducted at 15 minute intervals. The data completion rate for this deployment was 100%. The average and standard deviation of the measurement difference between the AroW-USB and reference samples over the total deployment was -0.056 \u00b10.131 mg\/L with a total range of -0.375 to 0.392 mg\/L. There was minor trend in response accuracy over the deployment (slope = -0.002 mg\/L\/d; r2 = 0.16) but with a low predictive fit. At Kaneohe Bay, HI the field test was conducted over 121 days with a mean temperature and salinity of 25.8 \u00b0C and 33.4. The measured DO range from our 129 discrete reference samples was 3.63 \u2013 9.85 mg\/L compared to a range of 2.329 \u2013 10.996 mg\/L reported by the AroW-USB. Fourteen percent (785 of 5653) of the continuous 30 minute observations fell more than 2 mg\/L outside of a natural ambient range as determined by the pattern of Winkler reference samples and were excluded from statistical comparisons. For the accepted data (n=75 of a potential 129 comparisons), the average and standard deviation of the measurement difference between the AroW-USB and reference samples over the total deployment was 0.367 \u00b10.637 mg\/L with a total range of -0.720 to 1.991 mg\/L. The drift rate in the instrument offset based on linear regression (r2 = 0.74) was 0.165 mg\/L\/d throughout the deployment period. Overall, the response of the AroW-USB during field testing showed good linearity across all three salinity ranges including freshwater, brackish water, and oceanic water. The accuracy of the response curve was quite consistent across the concentration ranges observed within each test site and relatively consistent over the wide range of DO conditions (4 - 14 mg\/L) across sites. The Aro-USB was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience transitions from surface waters into both normoxic and hypoxic hypolimnion. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the hird sample, the rosette was quickly profiled into the hypolimnion were samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. Note for Muskegon Lake cast 1 was aborted due to bottle misfires and repeated as cast 3. In Muskegon Lake, the Aro-USB exhibited a negative bias in the colder, low DO hypolimnion and a positive bias in the warm, high DO surface. Sensor equilibration time was slightly greater going from surface to hypolimnetic conditions. The range in measurement differences between instrument and reference was -0.42 to 0.34 mg\/L for cast 2 and -0.75 to 0.27 mg\/L for cast 3. In Lake Michigan, the Aro-USB exhibited a positive bias in both portions of the water column but the magnitude was higher in the cold high DO hypolimnion. Sensor equilibration time was similar between both trials, whether equilibrated at surface or depth. The range in measurement differences between instrument and reference was -0.16 to 0.53 mg\/L for cast 1 and 0.18 to 0.50 mg\/L for cast 2. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/737", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/737", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/737", "url": "https:\/\/hdl.handle.net\/11329\/737" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2567", "name": "SeaDataNet Datafile formats: ODV, MEDATLAS, NETCDF. Deliverable D8.5. Version 1.24.", "description": " - This document specify the data file format in used for data exchange in SeaDataNet. ODV (Ocean Data View) and NetCDF format are mandatory, whereas MEDATLAS is optional. This document describes the following versions of the SeaDataNet formats SeaDataNet ODV import format 0.4 SeaDataNet MEDATLAS format2.0 SeaDataNet CFPOINT (CF NetCDF)1.0 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2567", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2567", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2567", "url": "https:\/\/hdl.handle.net\/11329\/2567" }, "author": [ { "@type": "Person", "name": "Lowry, Roy" }, { "@type": "Person", "name": "Fichaut, Michele" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Maudire, Gilbert" }, { "@type": "Person", "name": "Bregent, Sophie" }, { "@type": "Person", "name": "Gatti, Julie" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Data transport", "Cross-discipline", "Data format development", "Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2167", "name": "Institutional navigation of oceans governance: Lessons from Russia and the United States Indigenous multi-level whaling governance in the Arctic.", "description": " - Oceans governance occurs through overlapping, multi-level institutions that often fail to recognize Indigenous sovereignty and self-determination. The International Whaling Commission (IWC) provides pathways for recognizing Indigenous rights. However, observed power asymmetries and cross-level local to international conflicts threatened subsistence rights and generated research and advocacy fatigue for Chukchi, In similar to upiat, Saint Lawrence Island Yupik, and Siberian Yupik communities in the USA and Russia. We conduct an institutional analysis of Indigenous bowhead whaling governance based upon lived experiences of Indigenous authors, primary documents from co-management organizations, national agencies, the IWC, and extant literature. We explore how Indigenous co-management organizations increased sovereignty and self-determination for communities whose culture, identities, livelihoods, and origins are intimately connected to marine mammal hunting. Our study also provides lessons for the United Nations Decade for Ocean Science on the challenges of institutional navigation and the role of embodied resurgent practice amongst Indigenous communities within Earth system governance. - , - Refereed - , - 14.7 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2167", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2167", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2167", "url": "https:\/\/hdl.handle.net\/11329\/2167" }, "author": [ { "@type": "Person", "name": "York, Abigail M." }, { "@type": "Person", "name": "Zdor, Eduard" }, { "@type": "Person", "name": "BurnSilver, Shauna" }, { "@type": "Person", "name": "Degai, Tatiana" }, { "@type": "Person", "name": "Monakhova, Maria" }, { "@type": "Person", "name": "Isakova, Svetlana" }, { "@type": "Person", "name": "Petrov, Andrey N." }, { "@type": "Person", "name": "Kempf, Morgan" } ], "keywords": [ "Balaena-Mysticetus", "Whaling", "International Whaling Commission", "Indigenous communities", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1927", "name": "Best Practices in Aquaculture - use cases across Production Systems and Regional approaches. [Presentations at the EATiP\/OBPs Best Practices in Aquaculture Workshop, 05 April 2022 (Online)].", "description": " - Edvard Pedersen | The Br\u00f8nn\u00f8ysund Register Centre : OPS Seafood As a first example, a bimodal concept for Public-Private Sector Development and digital transformation was explained. It is based on a generic cooperation model applied to the Norwegian seafood sector. The public sector contributes with public data, data gathering and transfer, and common standards. The sector takes the responsibility for sector-specific standards, data ownership management and common sector solutions. A code of conduct was developed and the data sharing was standardised. The model itself can be regarded as a best practice, as well as the products resulting from it. ----- Giovanna Marino | ISPRA : The PerformFish benchmarking system The system was developed for the Mediterranean area, based on Key Performance Indicators (KPIs) identified by the industry and that can be collected at the farms. These cover technical, environmental, welfare and economic indicator categories. It resulted in a benchmarking system that was adopted by aquaculture stakeholders and associations and in a unique data set across different Mediterranean zones on the performance of aquaculture farms. The system enables a visualisation of a set of KPIs and the optimisation of different aspects across the production cycle. With this information the sector has a tool that can document the sustainability of aquaculture, e.g. related to welfare issues or the carbon footprint of aquaculture. ----- Houssam Hamza & Linda Fourdain | GFCM of FAO : Best practices at the Global Mediterranean Council The FAO GFCM is the general Fisheries Commission for the Mediterranean and the Black Sea. It produces recommendations and resolutions for aquaculture in the region and provides assistance, demonstration centres, training courses driving good practices across the GFCM member countries and coastal communities. A methodology and guidance for knowledge and good practice sharing has been developed for aquaculture in marine spatial planning, such as the guide for Allocated Zones for Aquaculture (AZA). ----- Saioa Ramos | AZTI : AQUAPEF: an aquaculture Product Environmental Footprint pilot The EU funded project Life AQUAPEF developed a specific, easy-to-use tool to calculate the Product Environmental Footprint (PEF) across the aquaculture value chain, from feed, hatchery and grow out to processing, packaging and distribution. The pilot tool has been demonstrated at different sites in the Mediterranean and is ready to be used by all sea bream and seabass farms in the region. The goal is to have the tool commercialised and to transfer the methodology to other aquaculture systems and species, such as salmon, trout and sole. - , - Published - , - Current - , - 14.a - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1927", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1927", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1927", "url": "https:\/\/hdl.handle.net\/11329\/1927" }, "author": [ { "@type": "Person", "name": "Pedersen, Edvard" }, { "@type": "Person", "name": "Marino, Giovanna" }, { "@type": "Person", "name": "Hamza, Houssam" }, { "@type": "Person", "name": "Ramos, Saioa" } ], "keywords": [ "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1347", "name": "Considerations in Harmful Algal Bloom Research and Monitoring: Perspectives From a Consensus-Building Workshop and Technology Testing.", "description": " - Recurrent blooms of harmful algae and cyanobacteria (HABs) plague many coastal and inland waters throughout the United States and have significant socioeconomic impacts to the adjacent communities. Notable HAB events in recent years continue to underscore the many remaining gaps in knowledge and increased needs for technological advances leading to early detection. This review summarizes the main research and management priorities that can be addressed through ocean observationbased approaches and technological solutions for harmful algal blooms, provides an update to the state of the technology to detect HAB events based on recent activities of the Alliance for Coastal Technologies (ACT), offers considerations for ensuring data quality, and highlights both ongoing challenges and opportunities for solutions in integrating HAB-focused technologies in research and management. Specifically, technological advances are discussed for remote sensing (both multispectral satellite and hyperspectral); deployable in situ detection of HAB species on fixed or mobile platforms (based on bulk or taxa-specific biomass, images, or molecular approaches); and field-based and\/or rapid quantitative detection of HAB toxins (via molecular and analytical chemistry methods). Suggestions for addressing challenges to continued development and adoption of new technologies are summarized, based on a consensus-building workshop hosted by ACT, including dealing with the uncertainties in investment for HAB research, monitoring, and management. Challenges associated with choosing appropriate technologies for a given ecosystem and\/or management concern are also addressed, and examples of programs that are leveraging and combining complementary approaches are highlighted. - , - Refereed - , - 14.A - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-07-16 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1347", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1347", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1347", "url": "https:\/\/hdl.handle.net\/11329\/1347" }, "author": [ { "@type": "Person", "name": "Stauffer, Beth A." }, { "@type": "Person", "name": "Bowers, Holly A." }, { "@type": "Person", "name": "Buckley, Earle" }, { "@type": "Person", "name": "Davis, Timothy W." }, { "@type": "Person", "name": "Johengen, Thomas H." }, { "@type": "Person", "name": "Kudela, Raphael" }, { "@type": "Person", "name": "McManus, Margaret A." }, { "@type": "Person", "name": "Purcell, Heidi" }, { "@type": "Person", "name": "Smith, G. Jason" }, { "@type": "Person", "name": "Vander Woude, Andrea" }, { "@type": "Person", "name": "Tamburri, Mario N." } ], "keywords": [ "Harmful Algal Blooms", "HAB", "Toxins", "Ocean observing", "Environmental technology", "Rapid detection", "Ecological forecasting", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2240", "name": "Best practice in seabed image analysis for determining taxa, habitat, or substrata distributions.", "description": " - This is a review of seabed imaging survey methods and their application in New Zealand, focusing on the deep sea and covering the fields of image acquisition, data extraction from imagery, and data management. The potential of new technologies and analysis methods, including machine learning techniques, is explored, and several areas are identified in which changes to current practices would improve the quality, quantity, consistency, and accessibility of seabed image-derived data. Photographic surveying of the seabed is the only non-destructive sampling method available to us that generates quantitative data on fauna, habitats, and substrata at spatial scales relevant to exploration and management of New Zealand\u2019s Exclusive Economic Zone. These characteristics become increasingly valuable as greater emphasis is placed on spatial management of benthic impacts and seabed resources in the New Zealand region. The past decade has seen increasing use of seabed imaging surveys and it is now an accepted method for characterising and mapping distributions of fauna and habitats, particularly in the deep sea beyond coastal waters. However, image acquisition methods in New Zealand remain limited and applications of image-derived data at wider spatial and temporal scales can be confounded by project-specific variations in analysis methods and data management. Here, the current state of seabed imaging survey methods in New Zealand is reviewed, focussing on their use in the deep sea and in relation to practices currently in use or in development elsewhere in the world, with the aim of identifying best-practice across the three stages of the imaging survey process: image acquisition, data extraction from imagery, and data management. Several areas are identified in which present practice hampers wider use of image-derived seabed data, and changes are proposed to improve the quality, quantity, consistency, and accessibility of these data. Key changes suggested include: expanding the range of underwater platforms available in New Zealand for high quality seabed image acquisition; developing capability to make accurate 3-dimensional measurements from imagery routinely; establishing a coherent, stable library of annotation labels and reference images for fauna and substrata, with direct linkage to globally-accepted classification hierarchies; adoption of web-based annotation tools that enable multi-analyst input, consistent data management, and robust auditing; collaboration with existing initiatives to develop machine learning tools and suitable image libraries on which to train them; and development of long-term data management structures for seabed image data. The present inability to exploit the full potential of seabed imagery results from lack of a strategic approach to investment in the necessary technological and data management frameworks. This issue is a consequence of the relatively recent development of broad-scale image surveying in the region, and the absence of accepted standards for image acquisition, types, and formats of data to be extracted, and structures in which these data are to be stored. Some of these issues are being addressed at present at the research institute-level, with adoption of more efficient annotation tools and development of dedicated databases for image-derived data. However, if seabed imaging is to be used to its full potential to inform environmental management at the scale of the Exclusive Economic Zone, there needs to be national strategic investment in the development of imaging systems and commitment by government agencies that use seabed image data to support integrated best practice in data management. These issues are strategic because long-term support for maintenance of databases is imperative and the costs of remotely-operated and autonomous imaging platforms that will be key to achieving more nuanced understanding of seabed resources and impacts might need to be viewed as national-level investments. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2240", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2240", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2240", "url": "https:\/\/hdl.handle.net\/11329\/2240" }, "author": [ { "@type": "Person", "name": "Bowden, D.A." }, { "@type": "Person", "name": "Rowden, A.A." }, { "@type": "Person", "name": "Chin, C.C." }, { "@type": "Person", "name": "Hempel, S." }, { "@type": "Person", "name": "Wood, B." }, { "@type": "Person", "name": "Hart, A." }, { "@type": "Person", "name": "Clark, M.R." } ], "contributor": [ { "@type": "Organization", "name": "Ministry for Primary Industries" } ], "keywords": [ "Seabed imagery", "Benthic habitat", "Benthos", "Underwater photography", "underwater cameras", "Data analysis", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/434", "name": "BCO - DMO Data Management Guidelines Manual: a collection of best practice recommendations for collecting and sharing biogeochemical and ecological oceanographic data and metadata.", "description": " - The purpose of this document is to provide ocean scientists with a description of \"best practices\" designed to enable projects to quickly and efficiently make their data publicly available through the auspices of the Biological and Chemical Oceanography Data Management Office. This office was created to serve Principal Investigators (PIs) and other investigators funded by the National Science Foundation\u2019s (NSF) Biological and Chemical Oceanography Sections as a facility where marine biogeochemical and ecological data and information developed in the course of scientific research can easily be disseminated, protected, and stored for short and intermediate time frames. The Data Management Office works with principal investigators to get their data online and make them publicly available. In addition, this office will assist the investigators with data quality control, maintaining an inventory and program thesaurus of carefully defined field names, generating metadata (e.g. Directory Interchange Format (DIF)) records required by Federal agencies, and ensure submission of data to national data centers. The BCO-DMO will support and encourage data synthesis by providing new, online Web-based display tools, facilitate interoperability among different data portals, and facilitate regional, national, and international data and information exchange. In order to effectively serve data collected in the course of field experiments, it is essential that information about the project objectives, course of events in the field during the data acquisition (Cruise Report and Event Log), description of the equipment and sensors used, and protocols that governed the data acquisition and subsequent data processing be provided. Analogous information is needed for laboratory experimental work or modeling projects. Data from completed projects should be contributed to the BCO-DMO or served from a project\u2019s local machine using the JGOFS\/GLOBEC software or compatible software installed on its machine. The data may be contributed in a spreadsheet, in a word processing tabular format, or any computer readable file (except PDF files) in either ASCII or binary format. Supporting documentation (metadata), sufficient to enable others to use the data, should be contributed with the data. See the \"Metadata\" section of this report for details. Images and video may be contributed in several formats. For all matters relating to data contribution and accessibility, please contact the Data Management Office at info at bco-dmo.org - , - Published - , - Refereed - , - Current - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/434", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/434", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/434", "url": "https:\/\/hdl.handle.net\/11329\/434" }, "contributor": [ { "@type": "Organization", "name": "Biological and Chemical Oceanography Data Management Office (BCO-DMO)" } ], "keywords": [ "Biogeochemical data", "Ecological data", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Metadata management", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/692", "name": "Hydrocarbons: Review of methods for analysis in sea water, biota, and sediments.", "description": " - The overview presented in the following paragraphs is not a collection of analytical procedures in the sense of a 'cookbook'. It is intended as an introduction to the subject and a collection of references from which a judicious choice has to be made based upon the specific objectives of an investigation. Scientists active in the field of environmental trace analysis are envisaged as potential users, as well as persons on the decision-making level who wish to familiarize themselves with the complexity, range of application, and limitations of contaminant hydrocarbon analyses in the marine environment. Hydrocarbons, a class of chemical substances consisting exclusively of the elements carbon and hydrogen, are trace constituents of all compartments of the marine environment, i.e., water, suspended solids, organisms, and sediments. The sources of hydrocarbons are both natural in the sense that they occur irrespective of man's in- terference, and artificial as their occurrence is linked to a multitude of human activities. Interest, from a water management point of view, in the analysis of hydrocarbons in the marine environment stems from the often-repeated observation that elevated concentrations of non-biosynthetic hydrocarbons have detrimental effects on many marine life forms. A voluminous literature exists on the subject; reviews and collated papers may be found in GESAMP (1977), Connell and Miller (1980a, b), Gundlach and Marchand (1982), and Kuiper and van den Brink (1987). Owing to the ability of carbon atoms to form chemical bonds not only with other elements, but also among themselves, an almost limitless number of different structures can be conceived of, containing chains of practically any length, branched chains, rings, and any combination of these structural elements. It is the characteristics of the sources which, to a certain extent, determine the number of related molecular structures and the range of different structures. Thus, fossil hydrocarbons span a very wide range of molecular weights and structure types, whereas recent biogenic hydrocarbons contain either saturated or olefinic carbon-carbon bonds in straight or branched chains or rings with five or six carbon atoms. In contrast to the multitude of individual compounds in fossil hydrocarbon mixtures, their number in any given source organism is limited owing to specific pathways for their biosynthesis either de DQYQ or by conversion of dietary precursors (Blumer, 1967; Blumer et al., 1971; Connell and Miller, 1980a). Aromatic structures are frequent among fossil hydrocarbons and among those generated by combustion processes. To a certain extent, it is possible to use the degree of alkyl substitution of aromatic hydrocarbons for differentiating between these sources (Blumer and 3 4 Youngblood, 1975; Youngblood and Blumer, 1975; Sporst~l et al., 1983.) In petroleum, alkyl-substituted derivatives usually predomi- nate, whereas combustion-generated hydrocarbon mixtures are richer in the unsubstituted parent compounds. It is not quite clear, however, whether the predominance of unsubstituted aromatic hydrocarbons in environmental samples necessarily indicates the presence of combustion products. Recent analytical results (Davies and Tibbetts, 1987; Ehrhardt and Burns, 1990) suggest that alkyl-substituted aro- matic hydrocarbons may be less refractory under environmental conditions than many unsubstituted nuclei, whose slower rate of decomposition would eventually lead to their preponderance. Aromatic structures, frequent as they are in fossil hydrocarbons, are rare in hydrocarbons biosynthesized by marine organisms. As examples may be cited: the tetralene derivative, calamene, in gor- gonians (Weinheimer et al., 1968); the substituted benzene, laurene, in Laurencia species (Irie et al., 1965); carotenes with benzoid terminal groups in the sponge Reniera ;aponica (Yamaguchi, 1957a,b; 1958a,b); an alkyl-substituted octahydrochrysene in a polychaete (Farrington et al., 1986). These aromatic hydrocarbons occurring in marine organisms have not yet been characterized as components of dissolved organic material in sea water. Since some saturated hydrocarbons (e.g. n-pentadecane, n-heptadecane, n-nonadecane) which are synthesized by marine phytoplankton may also be detected in uncontaminated sea water, the assumption is plausible, however, that these biosynthetic aromatic hydrocarbons eventually find their way into the aqueous phase. In proportion to non-biosynthetic sources of aromatic hydrocarbons the contribution may be insignificant, but their possible presence should be kept in mind when aromatic hydrocarbons indiscriminately are labelled non-biosynthetic and, hence, contaminants. For the various objectives of surveillance and monitoring programmes as well as activities related to basic research, it has been found expedient to analyse and quantitate hydrocarbons separately in different matrices. Thus, water as the principal agent for transport and dispersal as well as the medium in which marine organisms live is analysed to gather information on the sources, inputs, distri- bution, and concentrations of hydrocarbons to which its inhabitants are exposed. Marine organisms are analysed to investigate the chemical nature of biosynthetic hydrocarbons, the accumulation of contaminant hydrocarbons from the surrounding water owing to the higher lipophilicity of living tissue as compared with sea water, and the associated stress to organisms. A global ocean monitoring programme consisting of many regional components, but relying on common strategies, is based on the use of the sedentary filter-feeding blue mussels and oysters as biological concentrators. Assessment of contamination by hydrocarbons is one component of this programme (Farrington et al., 1982; Goldberg, 1986; Murray and Law, 1980; Reynolds et al., 1981; Risebrough et al., 1983). The analysis of sediments for hydrocarbons is a component of many investigations and monitoring programmes because concentrations are generally higher, and thus easier to measure, than in water and also less variable (less patchy) in the short term. Although similar concentrations may be found in organisms, the biological lipid matrix from which they have to be separated is far more complex. Nevertheless, analyses of hydrocarbons in sediments have often been found to be just as challenging as in any other matrix. Around point sources, such as offshore oil production platforms or refinery outfalls, gradients of concentration may be established which help to determine the maximum area of effect. Hydrocarbons de- posited in sediments may persist for a long period of time, particularly under anoxic conditions. The hydrocarbon composition within the sediments can be altered both by degradation, which leads to the loss of some components, and by early diagenetic reactions in shallow sediments which lead to the in situ production of particular compounds, such as perylene and retene. Biogenic precursor molecules may be altered by chemical and microbiological processes to yield a variety of compounds, such as steranes and pentacyclic triterpanes (Aizenshtat, 1973; Hites et al., 1980; NRC, 1985; Venkatesan, 1988). The range of hydrocarbon concentrations found in sediments is very wide, total hydrocarbon concentrations varying from approximately 1~g\/g dry weight in clean offshore sand deposits to >10\\in areas impacted by oil spills or close to platforms discharging cuttings resulting from the use of oil-based drilling muds. In addition, different particle sizes and types within a given sediment may have different hydrocarbon compositions (Thompson and Eglinton, 1978; Prahl and Carpenter, 1983). The wide range of boiling points and polarities of hydrocarbon compounds found in sediments also complicate the analysis, as no one method can efficiently extract and concentrate all hydrocarbons present. To some extent, therefore, the analytical method chosen will determine the types of hydrocarbons found. 5 The compilation of methodologies which follows does not include analysis of the sea-surface microlayer, nor does it specifically address analysis of suspended particles. This may appear as a serious shortcoming, because hydrocarbon concentrations in the microlayer tend to surpass those in bulk water by at least an order of magnitude (Burns, 1986; Marty and Saliot, 1976). Particles as principal carriers for vertical transport also claim the attention of environmental analysts, but in both cases methodological differences with respect to the procedures described rest in the proper collection of samples. This is straightforward for particles which are collected by filtration on suitable filters, usually made of glass fibre. The extraction of hydrocarbons then parallels sediment extraction. Procedures for their analysis may be selected from the methods given for other matrices. Sampling of the sea-surface microlayer is more difficult. A useful procedure is delineated in IOC Manuals and Guides No.15 (UNESCO, 1985); Knap et al. (1986) describe its application. A detailed study on the composition of petroleum hydrocarbons in the microlayeris given by Butler and Sibbald (1987) who use a Teflon disk for collecting samples practically free of a separate aqueous phase. Carlson et al. (1988) present a new micro-layer sampling device based on the rotating drum principle. The collected material, of course, is appropriate for analysis by any method selected for a specific purpose. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/692", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/692", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/692", "url": "https:\/\/hdl.handle.net\/11329\/692" }, "author": [ { "@type": "Person", "name": "Ehrhardt, M." }, { "@type": "Person", "name": "Klungs\u00f8yr, J." }, { "@type": "Person", "name": "Law, R. J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1150", "name": "JSON Encoding Rules SWE Common \/ SensorML. Version 1.0.", "description": " - This document describes new JavaScript Object Notation (JSON) encodings for the Sensor Web Enablement (SWE) Common Data Model and the Sensor Model Language (SensorML). Rather than creating new JSON schemas, this document defines encoding rules that allow auto-generation of JSON instances that conform to the Unified Modeling Language (UML) models. Alternatively, the mappings given in the second part of the document can be used to convert bi-directionally between XML and JSON representations. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1150", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1150", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1150", "url": "https:\/\/hdl.handle.net\/11329\/1150" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "JSON" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1216", "name": "A Hessian-based method for uncertainty quantification in global ocean state estimation.", "description": " - Derivative-based methods are developed for uncertainty quantification (UQ) in largescale ocean state estimation. The estimation system is based on the adjoint method for solving a least-squares optimization problem, whereby the state-of-the-art MIT general circulation model (MITgcm) is fit to observations. The UQ framework is applied to quantify Drake Passage transport uncertainties in a global idealized barotropic configuration of the MITgcm. Large error covariance matrices are evaluated by inverting the Hessian of the misfit function using matrix-free numerical linear algebra algorithms. The covariances are projected onto target output quantities of the model (here Drake Passage transport) by Jacobian transformations. First and second derivative codes of the MITgcm are generated by means of algorithmic differentiation (AD). Transpose of the chain rule product of Jacobians of elementary forward model operations implements a computationally efficient adjoint code. Computational complexity of the Hessian code is reduced via forward-over-reverse mode AD, which preserves the efficiency of adjoint checkpointing schemes in the second derivative calculation. A Lanczos algorithm is applied to extract the leading eigenvectors and eigenvalues of the Hessian matrix, representing the constrained uncertainty patterns and the inverse of the corresponding uncertainties. The dimensionality of the misfit Hessian inversion is reduced by omitting its nullspace (as an alternative to suppressing it by regularization), excluding from the computation the uncertainty subspace unconstrained by the observations. Inverse and forward uncertainty propagation schemes are designed for assimilating observation and control variable uncertainties and for projecting these uncertainties onto oceanographic target quantities - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1216", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1216", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1216", "url": "https:\/\/hdl.handle.net\/11329\/1216" }, "author": [ { "@type": "Person", "name": "Kalmikov, Alexander G." }, { "@type": "Person", "name": "Heimbach, Patrick" } ], "keywords": [ "Uncertainty propagation", "Principal uncertainty patterns", "Posterior error reduction", "Hessian method", "Algorithmic differentiation (AD)", "MIT general circulation model (MITgcm)", "Drake Passage transport", "Large-scale ill-posed inverse problem", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2499", "name": "ISO 5813:1983. Water quality \u2014 Determination of dissolved oxygen \u2014 Iodometric method. Edition 1. [Reviewed 2023]", "description": " - This International Standard specifies an iodometric method for the determination of dissolved oxygen in water by the so-called \"Winkler procedure\" modified in order to make allowance for certain interferences. The iodometric method is the reference method for the determination of dissolved oxygen in water. It is applicable to all types of water having dissolved oxygen concentrations greater than 0,2 mg\/l, up to double saturation of oxygen (approximately 20 mg\/l), which are free from interfering substances. Readily oxidizable organic substances such as tannins, humic acid and lignins, interfere. Oxidizable sulphur compounds such as sulphides and thiourea also interfere, as do actively respiring systems which readily consume oxygen. In the presence of such substances, it is preferable to use the electrochemical probe method specified in ISO 5814. Nitrites up to a concentration of 15 mg\/l do not interfere with the determination because they are destroyed by the addition of sodium azide. If oxidizing or reducing substances are present, it is necessary to make modifications to the method ; these are described in clause 9. If suspended matter, capable of fixing or consuming iodine, is present, the method may be used with the modification described in the annex, but it is preferable to use the electrochemical probe method. - , - Published - , - ISO 5813:1983. Water quality \u2014 Determination of dissolved oxygen \u2014 Iodometric method Edition 1. (= UNE EN 25813:1994 = EN 25813:1992) Determination of dissolved oxygen \u2014 Iodometric method) - , - Refereed - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2499", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2499", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2499", "url": "https:\/\/hdl.handle.net\/11329\/2499" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Dissolved oxygen", "Winkler method", "Iodometric method", "Dissolved gases", "dissolved gas sensors", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2251", "name": "A new method for acquiring images of meiobenthic images using the FlowCAM.", "description": " - The purpose of this study was to develop a new method for investigating sediment-inhabiting meiobenthos using the Flow Cytometer And Microscope (FlowCAM). Meiobenthos are widely recognized as a useful indicator for assessing the effects of anthropogenic and natural disturbances in both shallow and deep ocean ecosystems. These small benthic invertebrates are traditionally investigated by individually counting and identifying specimens under a microscope, which is labor intensive and time consuming. However, FlowCAM, which was originally developed to semiautomatically analyze microplankton, has the potential to resolve these challenges. Meiobenthic specimens were extracted from sediment using the centrifugal separation method and were then pipetted into the FlowCAM system and imaged. The images were then used to classify and count the specimens at high taxonomic levels to verify the effectiveness of this method compared with traditional methods. We found that FlowCAM system: \u2022 Enabled sufficient meiobenthic images to be obtained to allow the identification and classification of specimens at high taxonomic levels. \u2022 Obtained comparable numbers of individuals to traditional methods. \u2022 Has the potential to rapidly process large the volumes of meiobenthos samples that are required when monitoring seasonal and spatial variation in ocean ecosystems and conducting long-term environmental impact assessments. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Flow Cytometer And Microscope (FlowCAM) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2251", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2251", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2251", "url": "https:\/\/hdl.handle.net\/11329\/2251" }, "author": [ { "@type": "Person", "name": "Kitahashi, Tomo" }, { "@type": "Person", "name": "Watanabe, Hiromi Kayama" }, { "@type": "Person", "name": "Tsuchiya, Masashi" }, { "@type": "Person", "name": "Yamamoto, Hideyuki" }, { "@type": "Person", "name": "Yamamoto, Hiroyuki" } ], "keywords": [ "Environmental monitoring", "Meiobenthos", "Benthic invertebrates", "FlowCAM", "Seasonal variation", "Rock and sediment biota", "flow cytometers", "Data analysis", "Data aggregation", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2602", "name": "The Guidelines for Harmonizing Marine Litter Monitoring Methods Using Remote Sensing Technologies, Version 1.0.", "description": " - This document presents the \u201cGuidelines for Harmonizing Marine Litter Monitoring Methods Using Remote Sensing Technologies\u201d (herein after referred to as the Guidelines). It aims to further improve the comprehensiveness and efficiency of marine litter monitoring with remote sensing technologies (platforms, sensors, and image analysis). The Guidelines consist of 3 parts: the \u201cmain body\u201d provides a general overview of the monitoring\/research methods of marine litter using various remote sensing technologies. The \u201cAnnex\u201d is about details of monitoring methodology for each technology (individual platform and the corresponding image analysis), and the \u201cAppendix\u201d presents the results of a demonstration project conducted to ensure the practicality of the methodology in the Annex. The Appendix and Annex of ver.1.0 are dedicated for UAV as platform and the image analysis. - , - Ministry of the Environment, Japan - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2602", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2602", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2602", "url": "https:\/\/hdl.handle.net\/11329\/2602" }, "author": [ { "@type": "Person", "name": "Isobe, Atsuhiko" }, { "@type": "Person", "name": "Aliani, Stefano" }, { "@type": "Person", "name": "Andriolo, Umberto" }, { "@type": "Person", "name": "Dierssen, Heidi" }, { "@type": "Person", "name": "Game Monteiro, Jo\u00e3o" }, { "@type": "Person", "name": "Goncalves, Gil" }, { "@type": "Person", "name": "Hidaka, Mitsuko" }, { "@type": "Person", "name": "Kako, Shin\u2019ichiro" }, { "@type": "Person", "name": "Kataoka, Tomoya" }, { "@type": "Person", "name": "Martinez-Vincente, Victor" }, { "@type": "Person", "name": "Matsuoka, Daisuke" }, { "@type": "Person", "name": "Mishra, Pravakar" }, { "@type": "Person", "name": "Streett, Davida" }, { "@type": "Person", "name": "Takahashi, Yukihiro" }, { "@type": "Person", "name": "Topouzelis, Konstantinos" }, { "@type": "Person", "name": "Van Emmerik, Tim" } ], "contributor": [ { "@type": "Organization", "name": "Ministry of the Environment, Japan Chiyoda-ku, Tokyo , Japan" } ], "keywords": [ "Remote sensing methods", "Image analysis", "Image processing", "Aerial sensing", "Orthoimage", "Orthomosaic", "Marine litter", "Marine debris surveys", "Environment", "Anthropogenic contamination", "Data quality management", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2129", "name": "TechOceanS Deliverable 2.4. Plan for exploitation and dissemination of results (PEDR), Version 1.0.", "description": " - The TechOceanS Plan for Exploitation and Dissemination of Results (PEDR) describes the dissemination, communication and exploitation activities to be performed as a means to promote TechOceanS and exploit the project results. It is a dynamic document and therefore evaluated periodically for effective needs and adjusted if needed. The TechOceanS PEDR outlines the EC rights and obligations of the consortium related to the dissemination and communication of project results, identifies key project stakeholders, defines the communication tools and channels and describes the means (tools, messages) of dissemination. In addition, it describes the internal processes and protocols set up to manage generated knowledge and to ensure exploitation of TechOceanS results. The PEDR adopts EC best practice guidelines and defines the objectives of TechOceanS\u2019 communication, dissemination and engagement strategy. It also identifies end-users, proposes communication tools and channels, and outlines responsibilities and resources to carry out effective knowledge management and measure impact. TechOceanS will develop and make use of the latest tools, resources and communication channels to ensure cost effectiveness and maximum impact. - , - EU, This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). - , - Published - , - Non Refereed - , - Current - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2129", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2129", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2129", "url": "https:\/\/hdl.handle.net\/11329\/2129" }, "author": [ { "@type": "Person", "name": "Porter, Keegan" }, { "@type": "Person", "name": "Finlay, Sive" }, { "@type": "Person", "name": "N\u00ed Cheallach\u00e1in, Cliona" }, { "@type": "Person", "name": "Cardillo, Pamela" } ], "contributor": [ { "@type": "Organization", "name": "TechOceanS Consortium" } ], "keywords": [ "Community engagement", "Communications", "Stakeholder engagement", "Administration and dimensions", "Data exchange", "Data policy management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1316", "name": "FanpLESStic-sea 2019. Review of existing policies and research related to microplastics.", "description": " - The FanpLESStic-sea project \u2013 \u201cInitiatives to remove microplastics before they enter the sea\u201d started in January 2019. In addition to the project goals such as raising awareness and looking for solutions related to the issue of microplastics, the project will contribute to the implementation of several actions (RL4, RL6 and RL7) of the HELCOM Regional Action Plan on Marine Litter. Additional information on the project, including partnership and envisaged activities, can be found at the FanpLESStic-sea project and HELCOM websites. FanpLESStic-sea is an EU INTERREG funded Baltic Sea Region project aimed at decreasing and removing microplastics in the Baltic Sea, where HELCOM is one of the partners. The envisaged outputs of the project are: -- A model to map, understand and visualize microplastic pathways that will be applied to the partners\u2019 cities and\/or regions; -- Piloting of new technology i) for filtering out microplastics; ii) sustainable drainage solutions as means for removal of microplastics; and iii) to remove microplastics from stormwater; -- Defining innovative governance frameworks and engaging a large range of players for the implementation of coordinated and cost-efficient measures resulting in locally adapted investment proposals\/plans for each partner\u2019s region; and -- Dissemination of project results, including reports on barriers and ways forward, to increase institutional capacity on up-stream and problem-targeted methods to remove microplastics. This report is the output of Activity 2.1 of the project, which aims to review existing research and policies on microplastics. The report is divided into two sections. The first one (Part 1) is a review of existing policies and governance frameworks related to microplastics. The second part (Part 2) is a review of the existing research on microlitter, including microplastics. Both parts have been further divided into the following geographical levels: global, regional (referring to the Balti Sea region), EU and national. The data for the global, regional and EU levels has been acquired mainly by a literature review type exercise, whereas the data from the national level has been collected via survey. For this purpose, a questionnaire was prepared in SurveyMonkey to collect information on the current regulatory framework and research activities on microplastics in the frame of the FanpLESStic-sea project. The survey (Annex 2) was circulated to the project partners for further distribution to relevant national contacts as well as to the HELCOM Expert Network (EN-Marine Litter) for their voluntary contribution. Due to the abundance of data (research initiatives and projects) on microplastics globally, this report only highlights the few and most updated research review exercises, such as the comprehensive work done by the Group of Experts on the Scientific Aspects of Marine Protection (GESAMP) on microplastics. It is also worth mentioning that this report will not introduce the overall issue of microplastics in detail (sources, effects, occurrence, fate etc.) because this kind of work has already been done by many other groups, institutions and countries (UN, GESAMP, EU, IUCN, NGOs, Norway, Sweden and many others) and is not repeated here. Rather, the purpose is to review and make available the existing and ongoing microplastic related research, reports, initiatives and policies in each partner country, on EU level and globally. However, the glossary section defines some important terms that are frequently used in microplastics literature, research and policies and can hence be used as a quick reference and a knowledge bank. Finally, the document concludes with a discussion section aiming at providing food-for-thought on next steps to be taken to address microplastics in the Baltic Sea region. - , - Interreg, Baltic Sea Region, European Union, - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1316", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1316", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1316", "url": "https:\/\/hdl.handle.net\/11329\/1316" }, "author": [ { "@type": "Person", "name": "Vuola, Aaron" }, { "@type": "Person", "name": "Ruiz, Marta" }, { "@type": "Person", "name": "Vianello, Alvise" } ], "contributor": [ { "@type": "Organization", "name": "FanpLESStic-sea project" } ], "keywords": [ "Microplastics", "Plastic litter", "Plastic debris", "Marine plastics", "Parameter Discipline::Environment::Anthropogenic contamination", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/386", "name": "A Guide to Making Climate Quality Meteorological and Flux Measurements at Sea", "description": " - The body of this handbook describes in detail the factors to be considered in equipping a vessel to obtain climate-quality meteorological and flux data. It discusses the nature of the basic quantities to be measured, the relevant instruments, and special considerations because the measuring site is a ship at sea. This Summary is a practical reference for the benefit of the scientist or technician assigned the task of installing and maintaining a package of instruments on a ship, without needing too much detail or rationale. It follows roughly the order of the various procedures involved. - , - Published - , - Also issued in: The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and Guidelines. Version 1. - , - Refereed - , - Current - , - Ocean surface heat flux - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/386", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/386", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/386", "url": "https:\/\/hdl.handle.net\/11329\/386" }, "author": [ { "@type": "Person", "name": "Bradley, F." }, { "@type": "Person", "name": "Fairall, C." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, Earth System Research Laboratory, Physical Sciences Division" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/964", "name": "Sediment quality assessment: a practical guide. Second edition.", "description": " - The last decade has seen an exponential growth in our understanding of the forms, fate and effects of contaminants in sediments. In Australia, as in many parts of the world, sediment quality guidelines are now well established in regulatory frameworks. However, detailed guidance on how to interpret and apply the guidelines is generally limited. It is recognised that additional research is needed to resolve several uncertainties in the science underpinning sediment quality guidelines. In Australia and New Zealand, the approach has been to introduce a tiered assessment framework so that exceedance of the sediment quality guideline value leads to additional studies to confirm or deny the possibility of biological impacts. This approach is outlined in the Australian and New Zealand guidelines for fresh and marine water quality, published in 2000. In 2010, the sediment quality guidelines for Australia and New Zealand were revised (by the editors and an author of the present volume). The revision introduces the use of multiple lines of evidence in a weight-of-evidence approach to the assessment. This is consistent with similar developments internationally. The approach extends the current decision framework so that it provides a means, where necessary, of combining lines of evidence. For example, bioaccumulation and ecological assessments can now be combined with the traditional chemistry and laboratory toxicity lines of evidence, and there is now a mechanism for bringing in additional information on chemical exposure and bioavailability which can improve assessments of causality. Thus, now, investigations should ideally combine assessments of: \u25cf sediment chemistry (such as exceedances of sediment quality guidelines), including contaminant bioavailability tests (for example, pore-water measurements, acid volatile sulfide tests, passive sampling methods and approaches that mimic biotic responses to hydrophobic organic contaminants); \u25cf toxicity testing (for example, of multiple species, varying exposure pathways, and acute and chronic endpoints such as survival, growth, reproduction or avoidance, and biomarkers of effects); \u25cf bioaccumulation or biomagnification; and \u25cf benthic community structure and function. Toxicity identification evaluation (TIE) and other assessments of causality may also be of value. The combination and interaction between lines of evidence should be considered in applying these in a weight-of-evidence framework (for instance, particle size affects contaminant bioavailability, and bioavailability test results will affect the interpretation of toxicity and bioaccumulation data). Weight-of-evidence assessments often ultimately rely on best professional judgment, but the use of tabular decision matrices is the best approach for achieving transparency and comprehension by personnel outside the field of ecological risk assessment. viii Sediment Quality Assessment Environmental practitioners are seeking guidance on how to incorporate the latest science in their assessment of contaminated sediments, while relating their investigations to the recommended guideline frameworks, and proposed new or revised guideline values for sediment quality, at a time when the science is still being developed. This handbook therefore attempts to summarise the advances and provide information to guide future sediment quality assessment investigations. The book both reviews the existing literature and recommends best ways to apply these findings, while describing approaches for measuring the various lines of evidence. As new lines of evidence are continuing to be developed, future sediment quality assessments may also incorporate those. A general approach is proposed, recognising that assessments frequently need to be custom-designed and lines of evidence chosen to suit the site-specific circumstances (such as site dynamics, sediment stability, groundwater flows, and fluctuating overlying water conditions). The focus on sediment quality assessment, at least in Australia, has largely been in estuarine and coastal marine environments, but the principles are equally applicable to freshwater systems, and guidance is therefore also provided in this book for freshwater toxicity testing and ecological assessment procedures for freshwater environments. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/964", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/964", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/964", "url": "https:\/\/hdl.handle.net\/11329\/964" }, "contributor": [ { "@type": "Organization", "name": "CSIRO Publishing" } ], "keywords": [ "Sediment sampling", "Parameter Discipline::Marine geology::Rock and sediment physical properties" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/514", "name": "Status and plans for satellite ocean-colour missions: considerations for complementary missions.", "description": " - This report explains the utility of ocean colour data, summarizes technical requirements for global-scale, operational and scientific remote sensing of ocean colour in both Case 1 (open-ocean) and Case 2 (coastal) waters and addresses the issues of complementarity that arise whenever more than one sensor with similar capabilities is in orbit at the same time. The objective is to provide space agencies with the information necessary for them to begin developing an internationally-coordinated plan for the uninterrupted delivery of ocean-colour data into the indefinite future. - , - IOCCG sponsoring space agencies - , - Published - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/514", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/514", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/514", "url": "https:\/\/hdl.handle.net\/11329\/514" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "IOCCG", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/943", "name": "Single cell rDNA amplification of Nassellaria (Radiolaria).", "description": " - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/943", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/943", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/943", "url": "https:\/\/hdl.handle.net\/11329\/943" }, "author": [ { "@type": "Person", "name": "Sandin, Miguel Mendez" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1694", "name": "MEDIN data guidelines for bathymetry data. Version 2.0.", "description": " - This guideline is a data archive standard for bathymetry data. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1694", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1694", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1694", "url": "https:\/\/hdl.handle.net\/11329\/1694" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Hydrography", "Geology", "Bathymetry and Elevation", "Seabed", "Depth", "Morphology", "Sediment", "Backscatter", "Water Column", "Parameter Discipline::Marine geology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2436", "name": "Glider network, European coordination. EuroSea Deliverable, D3.9 ,", "description": " - This report describes the overall European glider network activities done during the EuroSea project that have contributed to its reinforcement. We report on coordination actions held in that context: (i) in terms of global coordination, (ii) for the setup of an OceanGliders GitHub community and the establishment of Best Practices and format, (iii) to establish connections with other EU projects and EuroSea work packages, (iv) on network capacity development and (v) on communication. The report gives an overview of the glider network's current situation, demonstrates the great achievements made by the glider network thanks to the EuroSea project and points out future priorities for further development of our network. Main successes: 1. Ensure the European leadership in the process of strengthening and consolidating the global OceanGliders coordination activity with a direct link to the GOOS and GCOS via the Observation Coordination Group (OCG) 2. Launch of OceanGliders GitHub Community as a central place to discuss and converge the local wisdom, practices, and documents into community agreed-on Best Practices and data formats based on, whenever possible, existing vocabularies. After its launch in September 2021, the online community has already attracted 131 members (28 June 2022). 3. Capacity development of the glider community. In total 7 GitHub training sessions have been carried out since September 2021 with +50 community members to learn how to use these tools for future asynchronous community work. 4. Initiate and lead the convergence process needed to receive a first set of European and globally agreed Best Practices for glider operations to record the EOVs for surface and subsurface Salinity and Temperature, Depth-Average Currents, Oxygen, nutrients (Nitrate) and phytoplankton (Chlorophyll-a). 5. Ensure the European leadership in the development and release of a globally agreed data and metadata format (OceanGliders Format 1.0). Led by European glider and data management communities, this international initiative will be conducted by the OceanGliders program of the Global Ocean Observing System (GOOS) to uniformize the glider data format globally. Constrained by vocabularies, aligned with international standards (cf, OceanOPS, ACDD) and interoperable with other formats (Argo, OceanSITES), the new OG1.0 format will have a great impact on the glider community. The unique glider format will accelerate data uptake through improved data sharing and data flow, but also in the monitoring of the program and the development of common tools. Despite delays due to difficulties in the harmonization of the multiple existing formats, OG1.0 will be released officially this year and become operational in 2023. This great achievement for the international community has been made possible thanks to multiple meetings among experts from the EU, USA, and Australia over the last 18 months. Priorities for the next years: The overall priority is to ensure the sustainability of the network activities in scientific, technological, data management and international cooperation areas. To maintain such dynamism and continue to reinforce the glider network at the European level and beyond, we clearly rely on our ability to get funding from national and international projects on technical development and ocean science process studies but more importantly on our institutions to recognize the need for sustained glider observations and our coordination activities. - , - European Union H2020 Programme - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Ocean gliders - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2436", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2436", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2436", "url": "https:\/\/hdl.handle.net\/11329\/2436" }, "author": [ { "@type": "Person", "name": "Testor, Pierre" }, { "@type": "Person", "name": "Thomsen, Soeren" }, { "@type": "Person", "name": "Krieger, Magali" }, { "@type": "Person", "name": "Turpin, Victor" }, { "@type": "Person", "name": "Barrera, Carlos" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Petihakis, George" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Ocean gliders", "Best practices", "EuroSea", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1063", "name": "OGC\u00ae Catalogue Services 3.0 - General Model, Version 3.0.", "description": " - OGC\u00ae Catalogue Services support the ability to publish and search collections of descriptive information (metadata records) for geospatial data, services, and related information. Metadata in catalogues represent resource characteristics that can be queried and presented for evaluation and further processing by both humans and software. Catalogue services are required to support the discovery and binding to registered information resources within an information community. This part of the Catalogue Services standard describes the common architecture for OGC Catalogue Services. This document abstractly specifies the interfaces between clients and catalogue services, through the presentation of abstract models. This common architecture is Distributed Computing Platform neutral and uses UML notation. Separate (Part) documents specify the protocol bindings for these Catalogue services, which build upon this document, for the HTTP (or CSW) and OpenSearch protocol bindings. An Abstract Conformance Test Suite is not included in this document. Such Suites shall be developed by protocol bindings and Application Profiles (see 8.5, ISO\/IEC TR 10000-2:1998) that realize the conformance classes listed herein. An application profile consists of a set of metadata elements, policies, and guidelines defined for a particular application[1]. OGC document number 14-014 \u2013 HTTP Protocol Binding \u2013 Abstract Test Suite is available to address conformance with the provisions of OGC document number 12-176r2 \u2013 HTTP Protocol Binding. All annexes to this document are informative. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1063", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1063", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1063", "url": "https:\/\/hdl.handle.net\/11329\/1063" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2219", "name": "A two-part seabed geomorphology classification scheme, Version 2.0. Part 1: Morphology features glossary. [ENDORSED PRACTICE]", "description": " - This report updates the \u2018Two-part Seabed Geomorphology classification scheme\u2019 of Dove et al. (2016) and presents a new glossary (Part 1) of Seabed Morphology features. This Morphology glossary is intended to provide marine scientists with a robust and consistent way to characterise the seabed. Each glossary entry includes a feature definition and a representative schematic diagram to support clear and accurate classification. Feature terms and definitions are primarily drawn from the International Hydrographic Organization (IHO) guide for undersea feature names, which are herein modified and augmented with additional terms to ensure the final feature catalogue and glossary encompasses the diversity of morphologies observed at the seabed, while also minimising duplication and\/or ambiguity. This updated classification system and new glossary are the result of a collaboration between marine geoscientists from marine mapping programmes\/networks in Norway (MAREANO), Ireland (INFOMAR), UK (MAREMAP), and Australia (Geoscience Australia) (MIM-GA). A subsequent report will present the (Part 2) Geomorphology feature glossary. - , - Published - , - Open report prepared by the MIM-GA GEOMORPHOLOGY WORKING GROUP - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2219", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2219", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2219", "url": "https:\/\/hdl.handle.net\/11329\/2219" }, "author": [ { "@type": "Person", "name": "Dove, Dayton" }, { "@type": "Person", "name": "Nanson, Rachel" }, { "@type": "Person", "name": "Bjarnad\u00f3ttir, Lilja R." }, { "@type": "Person", "name": "Guinan, Janine" }, { "@type": "Person", "name": "Gafeira, Joana" }, { "@type": "Person", "name": "Post, Alix" }, { "@type": "Person", "name": "Dolan, Margaret F.J." }, { "@type": "Person", "name": "Stewart, Heather" }, { "@type": "Person", "name": "Arosio, Riccardo" }, { "@type": "Person", "name": "Scott, Gill" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia on behalf of the International Seabed Geomorphology Mapping Working Group (ISGM)" } ], "keywords": [ "Seabed geomorphology", "Vocabularies", "Glossary", "Terminology", "Classfication", "Undersea features", "Geochronology and stratigraphy", "Field geophysics", "Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1153", "name": "Volume 7: OGC CDB Data Model Guidance Formerly Annex A Volume Part 2. Version 1.0.", "description": " - This CDB Volume provides Guidelines, Clarifications, Rationales, Primers, and additional information for the definition and use of various models that can be stored in a CDB compliant data store. Please note that the term \u201clineal\u201d has been replaced with the term \u201cline\u201d or \u201clinear\u201d throughout this document Please note that the term \u201careal\u201d has been replaced with the term \u201cpolygon\u201d throughout this document. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1153", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1153", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1153", "url": "https:\/\/hdl.handle.net\/11329\/1153" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1741", "name": "Ferries and Environmental DNA: Underway Sampling From Commercial Vessels Provides New Opportunities for Systematic Genetic Surveys of Marine Biodiversity.", "description": " - Marine environmental DNA (eDNA) is an important tool for biodiversity research and monitoring but challenges remain in scaling surveys over large spatial areas, and increasing the frequency of sampling in remote locations at reasonable cost. Here we demonstrate the feasibility of sampling from commercial vessels (Mediterranean ferries) while underway, as a strategy to facilitate replicable, systematic marine eDNA surveys in locations that would normally be challenging and expensive for researchers to access. Sixteen eDNA samples were collected from four fixed sampling stations, and in response to four cetacean sightings, across three cruises undertaken along the 300 km ferry route between Livorno (Tuscany) and Golfo Aranci (Sardinia) in the Ligurian\/Tyrrhenian Seas, June-July 2018. Using 12SrDNA and 16SrDNA metabarcoding markers, we recovered diverse marine vertebrate Molecular Operational Taxonomic Units (MOTUs) from teleost fish, elasmobranchs, and cetaceans. We detected sample heterogeneity consistent with previously known variation in species occurrences, including putative species spawning peaks associated with specific sea surface temperature ranges, and increased night time abundance of bathypelagic species known to undertake diel migrations through the water column. We suggest commercial vessel based marine eDNA sampling using the global shipping network has potential to facilitate broad-scale biodiversity monitoring in the world\u2019s oceans. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1741", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1741", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1741", "url": "https:\/\/hdl.handle.net\/11329\/1741" }, "author": [ { "@type": "Person", "name": "Valsecchi, Elena" }, { "@type": "Person", "name": "Arcangeli, Antonella" }, { "@type": "Person", "name": "Lombardi, Roberto" }, { "@type": "Person", "name": "Boyse, Elizabeth" }, { "@type": "Person", "name": "Carr, Ian M." }, { "@type": "Person", "name": "Galli, Paolo" }, { "@type": "Person", "name": "Goodman, Simon J." } ], "keywords": [ "Metabarcoding", "MarVer", "Marine mammals", "Citizen science", "Spatial planning", "Sampling strategy", "Marine conservation", "12S and 16S ribosomal RNA genes", "eDNA", "Ships of Opportunity", "Voluntary ships", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/463", "name": "Best Practices for Shipping and Deploying Profiling Floats with SBE 41\/41CP.", "description": " - This application note presents recommendations for best practices when preparing profiling floats for deployment and shipping. The application note is divided into three sections: General guidelines Instructions for Care and Cleaning of Conductivity Cells Installing or Replacing of Anti-Foulant Device in SBE 41\/41CP. >>>>>>>>>>>>>> Mention of a commercial company or product within this repository content does not constitute an endorsement by UNESCO\/IOC-IODE. Use of information from this repository for publicity or advertising purposes concerning proprietary products or the tests of such products is not authorized. >>>>>>>>>>..... - , - Published - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/463", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/463", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/463", "url": "https:\/\/hdl.handle.net\/11329\/463" }, "contributor": [ { "@type": "Organization", "name": "Sea-Bird Scientific" } ], "keywords": [ "Profiling floats", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/888", "name": "SVP-B drifter built by METOCEAN: Use and deployment instructions. Version 2.", "description": " - The SVP-B buoy is a lagrangian drifter based on the specifications of the Barometer Drifter Construction Manual issued by the Data Buoy Cooperation Panel. Built by METOCEAN Data Systems, it is designed for a minimum 12 months continuous unattended collection of meteorological and oceanographic data. Data consisting of platform position, sea surface temperature, barometric pressure, and battery voltage are relayed through the Argos system. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/888", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/888", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/888", "url": "https:\/\/hdl.handle.net\/11329\/888" }, "author": [ { "@type": "Person", "name": "Blouch, Pierre" } ], "contributor": [ { "@type": "Organization", "name": "Meteo-France, Centre de Meteorologie Marine" } ], "keywords": [ "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/595", "name": "Next Generation Water Level Measurement System (NGWLMS) Site Design, Preparation, and Installation Manual.", "description": " - The implementation of the NGWLMS in the NWLON and other data collection program networks, represents a fundamental change in how the Branch accomplishes its functions. The NGWLMS, when fully implemented, replaces the predecessor technologies for data collection, data transmission, data quality control, data processing and analysis, data dissemination, and data base management with state-of-the-art systems. This document contains the procedures and guidelines required to establish a standard NGWLMS site. This document focuses mainly on establishing a NGWLMS at existing NWLON locations, however, the procedures and guidelines can be easily adapted to new locations. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/595", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/595", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/595", "url": "https:\/\/hdl.handle.net\/11329\/595" }, "author": [ { "@type": "Person", "name": "Edwing, Richard F." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Office of Oceanography and Marine Assessment" } ], "keywords": [ "Acoustic water level measurement sensor", "Data Management Practices::Data acquisition", "Data Management Practices::Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2155", "name": "Assessing data quality in citizen science.", "description": " - Ecological and environmental citizen-science projects have enormous potential to advance scientific knowledge, influence policy, and guide resource management by producing datasets that would otherwise be infeasible to generate. However, this potential can only be realized if the datasets are of high quality. While scientists are often skeptical of the ability of unpaid volunteers to produce accurate datasets, a growing body of publications clearly shows that diverse types of citizen-science projects can produce data with accuracy equal to or surpassing that of professionals. Successful projects rely on a suite of methods to boost data accuracy and account for bias, including iterative project development, volunteer training and testing, expert validation, replication across volunteers, and statistical modeling of systematic error. Each citizen-science dataset should therefore be judged individually, according to project design and application, and not assumed to be substandard simply because volunteers generated it. - , - Preprint from https:\/\/www.biorxiv.org\/content\/biorxiv\/early\/2016\/09\/08\/074104.full.pdf CC-BY - , - Refereed - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2155", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2155", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2155", "url": "https:\/\/hdl.handle.net\/11329\/2155" }, "author": [ { "@type": "Person", "name": "Kosmala, Margaret" }, { "@type": "Person", "name": "Wiggins, Andrea" }, { "@type": "Person", "name": "Swanson, Alexandra" }, { "@type": "Person", "name": "Simmons, Brooke" } ], "keywords": [ "Citizen Science", "Quality assurance", "Quality control", "Crowdsourcing", "Data accuracy", "Sampling bias", "Sampling methods", "Environment", "Data acquisition", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2077", "name": "EMODnet Phase V: Updated guidelines for SeaDataNet ODV production. Eutrophication Contaminants, Version 16\/9\/2022.", "description": " - EMODnet Chemistry uses SeaDataNet infrastructure (https:\/\/www.seadatanet.org\/) for the technical set-up. In particular, it adopts: A set of Standards for metadata description, vocabularies and data formats. - , - Published - , - Current - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Multi-organisational - , - National - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2077", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2077", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2077", "url": "https:\/\/hdl.handle.net\/11329\/2077" }, "author": [ { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Molina Jack, Maria Eugenia" }, { "@type": "Person", "name": "Kubin, Elisabeth" }, { "@type": "Person", "name": "Buga, Luminita" }, { "@type": "Person", "name": "Fryberg, Lotta" }, { "@type": "Person", "name": "Gatti, Julie" }, { "@type": "Person", "name": "Larsen, Martin" }, { "@type": "Person", "name": "Moncoiff\u00e9, Gwena\u00eblle" }, { "@type": "Person", "name": "Ostrem, Ann Kristin" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Wesslander, Karin" }, { "@type": "Person", "name": "Giorgetti, Alessandra" } ], "contributor": [ { "@type": "Organization", "name": "EMODnet Chemistry" } ], "keywords": [ "Nutrients", "Controlled vocabulary development", "Data format development", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2405", "name": "Ocean Sound Essential Ocean Variable Implementation Plan.", "description": " - This document provides guidance for the addition of acoustic observations to the Global Ocean Observing System (GOOS) through implementation of the Ocean Sound Essential Ocean Variable (EOV). The goal of this Ocean Sound EOV Implementation Plan is to define a baseline of how ocean sound observations are collected, analyzed, managed and reported. 1 Why is sound an important variable for observing the ocean at a global scale? Of all the ways to transmit energy or information through the ocean, sound reaches the farthest. Acoustic sensors are the only ones for which a network of only a dozen stations can detect high-intensity, lowfrequency signals produced by events almost anywhere in the global ocean. Modern digital electronics make it possible to produce small cost-effective ocean acoustic recording systems, which enable persistent observations from a variety of platforms in all seasons and all ocean areas. Ocean sound is a physical variable: variation in pressure or particle motion that propagates through seawater. But sound is also a cross-disciplinary EOV, because these physical vibrations can carry information about many objects and processes in the ocean. GOOS has defined three core delivery areas into which observations can help society: (1) understand and manage changes to climate, (2) maintain ocean health, and (3) operational services that monitor threats and provide forecasts and warnings. Observations collected as part of the Ocean Sound EOV meet different requirements of all three core delivery areas, as the following examples indicate: \u2022 Climate Change: extent and breakup of sea ice, frequency and intensity of wind, waves and rain \u2022 Ocean Health: \u2012 Biodiversity assessments: monitoring the distribution and abundance of sound-producing species \u2012 Environmental impacts: forecasting, monitoring, and mitigating impacts of human activities on wildlife \u2022 Monitoring Threats: nuclear explosions, foreign\/illegal\/threatening vessels, monitoring human activities in protected areas, and underwater earthquakes that can generate tsunamis Most marine organisms detect the particle motion component of sound, which can be difficult to predict based upon pressure measurements for locations near the seafloor or surface. This suggests the need for more measurements of particle motion in locations where the effects of sound on relevant marine life is a priority. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2405", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2405", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2405", "url": "https:\/\/hdl.handle.net\/11329\/2405" }, "author": [ { "@type": "Person", "name": "Tyack, P.L." }, { "@type": "Person", "name": "Akamatsu, T." }, { "@type": "Person", "name": "Boebel, O." }, { "@type": "Person", "name": "Chapuis, L." }, { "@type": "Person", "name": "Debusschere, E" }, { "@type": "Person", "name": "de Jong, C." }, { "@type": "Person", "name": "Erbe, C." }, { "@type": "Person", "name": "Evans, K." }, { "@type": "Person", "name": "Gedamke, J." }, { "@type": "Person", "name": "Gridley, T." }, { "@type": "Person", "name": "Haralabus, G." }, { "@type": "Person", "name": "Jenkins, R." }, { "@type": "Person", "name": "Miksis-Olds, J." }, { "@type": "Person", "name": "Sagen, H." }, { "@type": "Person", "name": "Thomsen, F." }, { "@type": "Person", "name": "Thomisch, K." }, { "@type": "Person", "name": "Urban, E." } ], "contributor": [ { "@type": "Organization", "name": "International Quiet Ocean Experiment, Scientific Committee on Oceanic Research and Partnership for Observation of the Global Ocean" } ], "keywords": [ "Acoustic sensors", "Best practices", "Standards", "Soundscape", "Acoustics", "Data acquisition", "Data processing", "Data quality control", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/836", "name": "Evaluation of Filtration and DNA Extraction Methods for Environmental DNA Biodiversity Assessments across Multiple Trophic Levels.", "description": " - Metabarcoding of marine environmental DNA (eDNA), originating from tissue, cells, or extracellular DNA, offers the opportunity to survey the biological composition of communities across multiple trophic levels from a non-invasive seawater sample. Here we compare results of eDNA metabarcoding of multiple trophic levels from individual seawater samples collected from a kelp forest in Monterey Bay, California in order to establish methods for future cross-trophic level eDNA analysis. Triplicate 1 L water samples were filtered using five different 47mm diameter membrane filters (PVDF, PES, GFF, PCTE, and NC) and DNA was extracted from triplicates of each filter-type using three widely-used extraction methods (the DNeasy Blood and Tissue kit, the MoBio PowerWater DNA Isolation kit, and standard phenol\/chloroform methods) resulting in 45 individual eDNA samples prepared with 15 workflow combinations. Each DNA extract was amplified using PCR primers for the 16S rRNA gene (microorganisms; Bacteria and Archaea), 18S rRNA gene (phytoplankton), and the 12S rRNA gene (vertebrates), and PCR products were sequenced on an Illumina MiSeq platform. The richness and community composition of microbial, phytoplankton, and vertebrate OTUs were not significantly different between any of the 0.2 \u03bcm pore-size filter types extracted with the DNeasy or MoBio kits. However, phenol\/chloroform extraction resulted in significantly different community structures. This study provides insight into multiple choices for extraction and filtrationmethods to use eDNAmetabarcoding for biodiversity assessment of multiple trophic levels from a single sample. We recommend any combination of either DNeasy or MoBio with PES, PCTE, PVDF, or NC filters for a cross trophic level comparison. - , - Open Access - , - Refereed - , - Guide - , - 2017-07-23 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/836", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/836", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/836", "url": "https:\/\/hdl.handle.net\/11329\/836" }, "author": [ { "@type": "Person", "name": "Djurhuus, Anni" }, { "@type": "Person", "name": "Port, Jesse" }, { "@type": "Person", "name": "Closek, Collin J." }, { "@type": "Person", "name": "Yamahara, Kevan M." }, { "@type": "Person", "name": "Romero-Maraccini, Ofelia" }, { "@type": "Person", "name": "Walz, Kristine R." }, { "@type": "Person", "name": "Goldsmith, Dawn B." }, { "@type": "Person", "name": "Michisaki, Reiko" }, { "@type": "Person", "name": "Breitbart, Mya" }, { "@type": "Person", "name": "Boehm, Alexandria B." }, { "@type": "Person", "name": "Chavez, Francisco P." } ], "keywords": [ "Environmental DNA", "Microorganisms", "Phytoplankton", "Trophic levels", "Marine ecosystems", "Biodiversity", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1262", "name": "Best Practices on High Frequency Radar Deployment and Operation for Ocean Current Measurement.", "description": " - High Frequency Radar (HFR) technology refers to land based remote sensing instruments capable of measuring surface currents and ocean waves at ranges up to 200 km or more. HFR technology is widely acknowledged as a cost-efficient tool to monitor coastal regions and has potential use to monitor coastal regions all over the world. Globally, the number of HFR stations is steadily increasing. Regional networks provide real-time data in support of operational activities such as search and rescue operations, fast response in case of maritime accidents and spill of pollutants, and resource management. Each operator needs a general understanding of the working principles in order to ensure that instruments are managed properly. A set of harmonized quality assurance and quality control procedures is recommended, along with an effective approach to HFR data discovery and dissemination, to provide high quality measurements to the end users. Different documents providing best practices for operation and maintenance have emerged in the past years. They are oriented either to Direction Finding (DF) or Beam Forming (BF) systems, or to specific manufacturer\u2019s radar systems. The main objective of this paper is to offer a comprehensive \u201cBest Practices\u201d document in an effort of ensuring consistency between different deployments and harmonized operations of HFR systems. This, regardless of system manufacturer, antenna design and setup. A homogeneous approach is given when possible, general concepts and definitions are introduced in order to provide a framework for both data processing and management steps. Examples are also given from the European HFR users with focus on Near Real Time data flow suitable for operational services. - , - Refereed - , - 14.A - , - Surface currents - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-11-15 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1262", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1262", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1262", "url": "https:\/\/hdl.handle.net\/11329\/1262" }, "author": [ { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Horstmann, Jochen" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Reyes, Emma" }, { "@type": "Person", "name": "Quentin, C\u00e9line" }, { "@type": "Person", "name": "Cosoli, Simone" }, { "@type": "Person", "name": "Asensio, Jose Luis" }, { "@type": "Person", "name": "Mader, Julien" }, { "@type": "Person", "name": "Griffa, Annalisa" } ], "keywords": [ "High frequency radar (HFR)", "Radar remote sensing", "Surface currents", "Data management", "Quality control", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::acoustic backscatter sensors", "Data Management Practices::Data quality control", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2112.2", "name": "OOI Biogeochemical Sensor Data Best Practices and User Guide. Version 1.1.1. [GOOS ENDORSED PRACTICE]", "description": " - The OOI Biogeochemical Sensor Data Best Practices and User Guide is intended to provide current and prospective users of data generated by biogeochemical (BGC) sensors deployed on the Ocean Observatories Initiative (OOI) arrays with the information and guidance needed for them to ensure that the data are science-ready. This guide is aimed at researchers with an interest or some experience in ocean biogeochemical processes. We expect that users of this guide will have some background in oceanography; however, we do not assume any prior experience working with BGC sensors or their data. While initially envisioned as a \u201ccookbook\u201d for end users seeking to work with OOI BGC sensor data, our Working Group and Beta Testers realized that the processing required to meet the specific needs of all end users across a wide range of potential scientific applications and combinations of OOI BGC data from different sensors and platforms couldn\u2019t be synthesized into a single \u201crecipe\u201d. We therefore provide here the background information and principles needed for the end user to successfully identify and understand all the available \u201cingredients\u201d (data), the types of \u201ccooking\u201d (end user processing) that are recommended to prepare them, and a few sample \u201crecipes\u201d (worked examples) to support end users in developing their own \u201crecipes\u201d consistent with the best practices presented here. This is not intended to be an exhaustive guide to each of these sensors, but rather a synthesis of the key information to support OOI BGC sensor data users in preparing science-ready data products. In instances when more in-depth information might be helpful, references and links have been provided both within each chapter and in the Appendix. - , - Funding for this effort was provided by the Ocean Observatories Initiative Facilities Board, the Ocean Observatories Initiative, and the National Science Foundation (Awards 2033988, 2034002, and 2033919). - , - Published - , - Refereed - , - Current - , - palevsky@bc.edu - , - 14.a - , - Oxygen - , - Nutrients - , - Inorganic carbon - , - Particulate matter - , - Ocean colour - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2112.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2112.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2112.2", "url": "https:\/\/hdl.handle.net\/11329\/2112.2" }, "author": [ { "@type": "Person", "name": "Palevsky, Hilary" }, { "@type": "Person", "name": "Clayton, Sophie" }, { "@type": "Person", "name": "Atamanchuk, Dariia" }, { "@type": "Person", "name": "Battisti, Roman" }, { "@type": "Person", "name": "Batryn, Jennifer" }, { "@type": "Person", "name": "Bourbonnais, Annie" }, { "@type": "Person", "name": "Briggs, Ellen M." }, { "@type": "Person", "name": "Carvalho, Filipa" }, { "@type": "Person", "name": "Chase, Alison P." }, { "@type": "Person", "name": "Eveleth, Rachel" }, { "@type": "Person", "name": "Fatland, Rob" }, { "@type": "Person", "name": "Fogaren, Kristen E." }, { "@type": "Person", "name": "Fram, Jonathan Peter" }, { "@type": "Person", "name": "Hartman, Susan E." }, { "@type": "Person", "name": "Le Bras, Isabela" }, { "@type": "Person", "name": "Manning, Cara C. M." }, { "@type": "Person", "name": "Needoba, Joseph A." }, { "@type": "Person", "name": "Neely, Merrie Beth" }, { "@type": "Person", "name": "Oliver, Hilde" }, { "@type": "Person", "name": "Reed, Andrew C." }, { "@type": "Person", "name": "Rheuban, Jennie E." }, { "@type": "Person", "name": "Schallenberg, Christina" }, { "@type": "Person", "name": "Vardaro, Michael F." }, { "@type": "Person", "name": "Walsh, Ian" }, { "@type": "Person", "name": "Wingard, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "Ocean Observatories Initiative, Biogeochemical Sensor Data Working Group" } ], "keywords": [ "Nitrate", "Dissolved oxygen", "Carbonate system", "Bio-optical measurements", "Carbonate system", "Nutrients", "Dissolved gases", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1715", "name": "D1.2 Specification report of common test protocols and inter-comparison methodologies. Work Package 1 \u2013 New Sensor technologies: innovation and services.", "description": " - The content of the present reports highlights a specific use case specified at the beginning of ENVRIplus project, the measurement of the pCO2 concentration from the air-sea interface to the bottom of the Ocean. The rationales of the relevancy of measuring pCO2 concentration in the sea-water is exposed as being an extremely important parameter for the global Carbon cycle monitoring, and in particular the contribution of the Inorganic Carbon. During the ENVRIplus project timeline, several initiatives have been carried-out by the task partners to (1) assess the use of commercially available sensors for pCO2 measurements and (2) trying to refine a common approach for across-network collaborations. It appears that at the end of the exercise, no mature technology is suitable to cover all requirements needed for disparate networks, and that the Marine RIs have to start more cohesive synergies to achieve a common strategy for new sensors implementation. Nevertheless, Interesting discussions have started inside this task consortium, and future collaborations are engaged to converge towards a future continuum strategy from sea-surface to bottom for the innovative sensors implementation. - , - European Union - , - Published - , - Refereed - , - Current - , - Inorganic carbon - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1715", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1715", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1715", "url": "https:\/\/hdl.handle.net\/11329\/1715" }, "author": [ { "@type": "Person", "name": "Obolensky, Grigor" }, { "@type": "Person", "name": "K\u00f6rtzinger, Arne" } ], "contributor": [ { "@type": "Organization", "name": "Envriplus" } ], "keywords": [ "pCO2 concentration", "EUROARGO", "Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/270", "name": "Manual for Real-Time Quality Control of Dissolved Oxygen Observations: a Guide to Quality Control and Quality Assurance for Dissolved Oxygen Observations in Coastal Oceans. Version 2.0.", "description": " - Each manual describes the individual QC tests to be applied to the data stream prior to data dissemination. For DO data, the manual describes eleven tests that are divided into three groups that are either required (group 1), strongly recommended (group 2), or suggested (group 3) for application prior to dissemination of data entered into the IOOS Data Assembly Centers. The time lag between the data collection and Dissolved Oxygen Version 2.03 dissemination dictates the number and types of tests applied to the data stream (i.e., the real-time versus delayed-mode issue). The RA decides the applicability of the tests... The description of each QC test will be sufficient for a skilled computer programmer to create software that implements the tests in different software environments. - , - Published - , - To help gauge the success of the QARTOD project, we need to be aware of groups working to utilize these QC tests. We request that manual users notify us of their efforts or intentions to implement QARTOD processes by sending a brief email to data.ioos@noaa.gov or posting a notice at http:\/\/www.linkedin.com\/groups?gid=2521409 - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/270", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/270", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/270", "url": "https:\/\/hdl.handle.net\/11329\/270" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Dissolved oxygen", "Oxygen sensors", "QARTOD", "IOOS", "Quality control", "Quality assurance", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1003", "name": "Evolving Marine Biosecurity in the Galapagos Islands.", "description": " - Some of my co-authors and I have just returned from one of the paradises on earth and a natural history mecca \u2013 The Galapagos Islands, Ecuador. We participated in (MLC, CLH) or hosted (IK, TD, KC) the 1st Tropical Island Marine Bioinvasions Workshop convened at the Charles Darwin Research Station. From a terrestrial standpoint, the Ecuadorian government\u2019s biosecurity for the most part is intelligent (but see Gardener et al. 2010), well organised and seems to be effective, with a number of publications detailing introduced terrestrial plant (e.g., Buddenhagen 2006; Jager and Kowarik 2010) and animal (e.g., Cruz et al. 2005; Carrion et al. 2011) eradications and impacts (e.g., Schofield 1989; Itow 2003; Renteria et al. 2012; Kueffer et al. 2010), invasion risks (e.g., Gottdenker et al. 2005), and ecosystem restoration, management and conservation (e.g., Gibbs et al. 1999; Causton et al. 2006). Yet, as with so many other systems, marine biosecurity lags behind (a quick review of the literature shows no marine introduction publications) and is consequently less well managed, but not for a lack of effort. - , - Refereed - , - 14 - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1003", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1003", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1003", "url": "https:\/\/hdl.handle.net\/11329\/1003" }, "author": [ { "@type": "Person", "name": "Campbell, Marnie L." }, { "@type": "Person", "name": "Inti, Keith" }, { "@type": "Person", "name": "Hewitt, Chad L." }, { "@type": "Person", "name": "Dawson, Terry P." }, { "@type": "Person", "name": "Collins, Ken" } ], "keywords": [ "Invasive species", "Marine biosecurity", "Parameter Discipline::Biological oceanography::Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1889", "name": "Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds.", "description": " - The number and complexity of modelling techniques used to predict species distributions has increased substantially over the past decades (Hegel et al., 2010), and several comparisons of model performance have been carried out for terrestrial species (e.g., Elith and Graham, 2009; Elith et al., 2006; Segurado and Ara\u00fajo, 2004). In contrast, the marine environment is less studied and more challenging given its dynamic nature (Ready et al., 2010; Robinson et al., 2011; Wakefield et al., 2009). Furthermore, seabirds are highly mobile species, and their presence at certain locations varies temporally depending on whether an area is used during the breeding season, as a migration stopover, or as moult refuge (Tremblay et al., 2009). A comparison of the performance of different models that predict distributions and abundances of seabirds based on shipboard survey data has to our knowledge only been explored for one coastal species (Yen et al., 2004), yet the bourgeoning interest in the identification of pelagic marine protected areas warrants a comparison of newer distribution modelling techniques. Here we compare the performance of five modelling techniques to predict the occurrence and abundance of a migratory seabird species outside of the breeding season. The Balearic Shearwater (Puffinus mauretanicus) is a critically endangered species that breeds only at the Balearic archipelago in the western Mediterranean, and migrates to the North-East Atlantic after the breeding season (Brooke, 2004). The species suffers from high adult mortality at sea (Oro et al., 2004), and most research efforts have focused on understanding foraging ecology and distribution during the breeding season in the Mediterranean (Bartumeus et al., 2010; Louzao et al., 2006a, 2006b). Marine protected areas are needed for Balearic Shearwaters throughout its range, and although both Spain and Portugal have delineated marine important bird areas (IBAs, Arcos et al., 2009; Ram\u00edrez et al., 2008), most of these areas were still not legally protected as of October 2011 (BirdLife Inter-national, 2010a). Our model comparison aims to inform seabird conservation managers about the performance of modelling techniques that can be used to predict the spatial distribution and abundance of seabirds for the identification of marine IBAs or protected areas. We tested model predictions against independent data and com-pared predicted distributions with the locations of existing marine IBAs to evaluate whether our model results agree with IBAs that were identified with a variety of different methods (Ram\u00edrez et al., 2008). Thus, we provide information on which modelling techniques are useful for seabirds, and identify areas that may war-rant protection to benefit the Balearic Shearwater. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Species distributions - , - Species abundances - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1889", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1889", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1889", "url": "https:\/\/hdl.handle.net\/11329\/1889" }, "author": [ { "@type": "Person", "name": "Oppel, Steffen" }, { "@type": "Person", "name": "Meirinho, Ana" }, { "@type": "Person", "name": "Ram\u00edrez, Iv\u00e1n" }, { "@type": "Person", "name": "Gardner, Beth" }, { "@type": "Person", "name": "O\u2019Connell, Allan F." }, { "@type": "Person", "name": "Miller, Peter I." }, { "@type": "Person", "name": "Louzao, Maite" } ], "keywords": [ "Modelling", "Seabirds", "Birds, mammals and reptiles", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1498", "name": "Sargassum and Beach Erosion: Potential Costs and Benefits for Coastal Managers: final report.", "description": " - Sargassum fluitans and natans, types of brown algae wash up on Galveston Island, Texas each year from May to August. Sargassum smells bad, hurts tourism and impairs sea turtle hatchings. Coastal managers are confronted with the difficult choice of cleaning Sargassum off the beach front or leaving it alone. The current beach management practice is to rake the algae with mechanical tractors and deposit it at the base of the dunes. The environmental impacts of raking and ecological benefits of Sargassum are unknown. The Galveston Island Park Board of Trustees (GIPBT) used to rake all beaches under their management before Hurricane Alicia in 1983. Then, citizens started to complain that raking was causing erosion. Now, there are people who argue for raking and leaving the beach alone. Environmental policies require complex decisions that take into consideration social, economical, ecological, and cultural values. The GIPBT initiated the Sargassum Policy Committee to gain knowledge of different stakeholder values to develop beach cleaning policies. Scientific research will also be used to make decisions. The first study analyzed elevation changes over a year period on raked and unraked beaches on Galveston Island on both the West and the East end of the island. The Analysis of Variance results indicated that there is not a difference in elevation changes between the raked and unraked beaches over a year - , - Published - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1498", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1498", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1498", "url": "https:\/\/hdl.handle.net\/11329\/1498" }, "author": [ { "@type": "Person", "name": "Williams, Amy" }, { "@type": "Person", "name": "Feagin, Rusty A." } ], "contributor": [ { "@type": "Organization", "name": "Texas A & M University, Department of Ecosystem Science & Management" } ], "keywords": [ "Sargassum management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/630", "name": "OceanScope: a Proposed Partnership between the Maritime Industries and the Ocean Observing Community to Monitor the Global Ocean Water Column. Report of SCOR\/IAPSO Working Group 133.", "description": " - The ocean plays an absolutely central role in the Earth\u2019s climate and ecosystems. Despite its widely acknowledged importance, the interior of the ocean continues to be seriously under-sampled due to its global scale, the lack of resources commensurate to the task, and the technical challenges presented by the marine environment. While satellites routinely scan the state of the sea surface (when cloud cover permits), high resolution in situ data are essential to extend the scientific utility of present and planned satellite missions. For example, what is proposed herein will ideally complement planned high-resolution altimetry. While the global Argo and Ship-of-Opportunity (SOOP) programs provide broad coverage of the hydrographic state of the ocean, and the international global drifter program has yielded invaluable insight into surface currents, we are still severely handicapped with respect to measuring both the vertical structure of currents and the biogeochemical properties of the water column. Indeed, knowledge about ocean circulation as a whole is derived from various data-fitting techniques and not directly measured. Powerful as these measurements and techniques are, there is much they are unable to capture, including the most energetic part of the velocity spectrum, the structure of eddies and fronts, the deep velocity field and many circulation features in shallow seas and coastal areas. The ability to measure currents globally from vessels underway would be a transformational development enabling us to track what the ocean is doing in real time - to view the ocean engine in action and markedly improve our predictive capabilities by enabling truly rigorous validation and verification of the interior dynamics of ocean circulation models. Commercial ships have a presence on the high seas second to none and offer society a feasible and cost-effective opportunity to contribute to solving this observational deficiency. Building upon the success of the present Global Ocean Observing System (GOOS) and pilot research projects aboard selected commercial vessels, OceanScope proposes a formal partnership with the maritime industries (commercial vessel owners and operators as well as the marine industries they depend upon) to enable systematic and sustained observation of the structure and dynamics of the ocean water column so that physical, chemical, and biological processes can be studied simultaneously across all the inter-connected ocean basins. The programmatic approach of OceanScope is novel. It proposes to develop and implement techniques including acoustic and optical remote sensing, expendable probes and towed systems to monitor the entire oceanic water column, and to do so not only with respect to ocean physics, but also ocean chemistry and biology - all optimized for use on merchant marine vessels in regular traffic. The partnership between the ocean observing community and the maritime industries would be implemented through or associated with an international non-governmental organization working closely with the industry through institutions already in place (e.g. the International Chamber of Shipping and the World Ocean Council). This coordinated approach will enable the implementation of standardized methodologies and technologies that will be essential for operational reliability and data continuity and to provide the economies of scale essential to reduce installation, maintenance, and operational costs. Standardization will also enhance the commercial viability of developing and marketing new and improved observational technologies and facilitate the preparation of vessels \u201cready-built\u201d to join the OceanScope fleet. OceanScope has the potential to capture the attention of industrial partners that have significant resources devoted to bringing the best ideas into the marketplace. OceanScope would be a major addition to the international GOOS, building upon and complementing programs such as Argo, Ship of Opportunity Program (SOOP), the Integrated Carbon Observation System (ICOS) and the Sir Alister Hardy Foundation for Ocean Science (SAHFOS) that operates the Continuous Plankton Recorder (CPR) program. With respect to initial instrumentation, technology development and operational assistance and coordination, we would look to the SOOP and ICOS communities in regard to expendable probes and inorganic carbon measurement technology, and to SAHFOS in regard to the CPR to the extent that a ship operator is willing to provide support since the CPR (unlike other proposed technologies) is not fully automated. OceanScope would offer all those programs not only additional vessel platforms, but more significantly, the critical synoptic environmental data needed to understand the causes of the patterns observed and access to continually improving technologies. With respect to the Argo program and SOOP, the physical data streams themselves are inherently complementary. That is, drifters and profilers are, by design, freely drifting and comparatively widely distributed. However numerous, drifters and profilers alone are inadequate to directly sample either dynamic frontal regimes or oceanic eddy activity. While Argo floats (and drifters) continue to evolve as new sensors are added, choices will be limited by available space and power. Both impose fundamental sampling constraints. Sampling from commercial vessels on selected repeat routes can directly address both of these inherent limitations(technical and spatio-temporal). OceanScope data will have four distinct but related applications: (1) forecast\/nowcast models, (2) processes and dynamics, (3) climatology, and (4) the state of the ocean. The first application addresses societal needs for real-time information on ocean currents (e.g., to improve ocean forecasting services); the second one the need to understand physical, biological and chemical variability; the third one long-term and global-scale change of the coupled ocean-atmosphere system; and the fourth, regulatory and management issues relating to ocean health. OceanScope would be implemented in phases. Phase One (lasting about five years) would extend and integrate today\u2019s activities into a fleet of 20 instrumented vessels operating in the North Atlantic Ocean. During this phase, OceanScope oversight, organizational and administrative structures would be formalized and staffed and, equally significantly, data management, quality control and dissemination procedures would be implemented. Legal and jurisdictional issues will also be addressed prior to and during this phase. A North Atlantic Test Bed phase will not only focus attention upon a system of major importance to global climate dynamics (e.g. the meridional overturning circulation), but also leverage existing scientific collaborations with the maritime industry. A set of core measurements would be made on all ships with additional instruments upon a selected few vessels\/routes. While vessels would at first rely upon existing technology (or small improvements there of), fundamental to OceanScope thinking will be targeted development of new marine vessel-optimized and standardized instrumentation, which as it becomes ready would be installed across the fleet of OceanScope vessels. Building upon the success of the North Atlantic Test Bed, OceanScope would then gradually expand through out the world ocean eventually consisting of a fleet of approximately 100 vessels incorporating these next-generation technologies. What OceanScope proposes is nothing less than the creation of an Earth-spanning framework - a facility or capability analogous to the European Organization for Nuclear Research(CERN) particle accelerator facility or the Hubble Space Telescope- freely providing data to the entire climate research, oceanographic research and operational oceanographic communities. To realize its full potential, it is essential that the ocean observing community speak with one voice with respect to the scientific benefits of such a facility as this partnership goes forward. The data that would be made available will revolutionize our ability to visualize the global ocean and track its evolution as the coupled physical, chemical, and biological whole that it truly is. - , - Published - , - Refereed - , - Current - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/630", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/630", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/630", "url": "https:\/\/hdl.handle.net\/11329\/630" }, "keywords": [ "Voluntary Observing Ships", "Ship of Opportunity", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/599", "name": "Information Systems Branch PORTS Uniform Flat File Format (PUFFF). Revision 4.", "description": " - Users of the Physical Oceanographic Real-Time System (PORTS) have requested access to PORTS information in a form that can be used as input to their own real-time applications. Until now, only a subset of data was displayed and available to the user. For example, only a single selected bin of ADCP data is reported\/displayed via the PORTSscreen, although many other bins are in fact collected, processed and available. The following is a suite of files and their descriptions that can be accessed to retrieve all of the PORTS observations as site-independent, flat, ASCII files in real time. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/599", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/599", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/599", "url": "https:\/\/hdl.handle.net\/11329\/599" }, "author": [ { "@type": "Person", "name": "Evans, Michael" }, { "@type": "Person", "name": "French, Geoffrey" }, { "@type": "Person", "name": "Bethem, Thomas" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Office of Coast Survey" } ], "keywords": [ "Data Management Practices::Data delivery", "Data Management Practices::Data processing", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1815", "name": "Machine Learning Predicts the Presence of 2,4,6-Trinitrotoluene in Sediments of a Baltic Sea Munitions Dumpsite Using Microbial Community Compositions.", "description": " - Bacteria are ubiquitous and live in complex microbial communities. Due to differences in physiological properties and niche preferences among community members, microbial communities respond in specific ways to environmental drivers, potentially resulting in distinct microbial fingerprints for a given environmental state. As proof of the principle, our goal was to assess the opportunities and limitations of machine learning to detect microbial fingerprints indicating the presence of the munition compound 2,4,6- trinitrotoluene (TNT) in southwestern Baltic Sea sediments. Over 40 environmental variables including grain size distribution, elemental composition, and concentration of munition compounds (mostly at pmol g\udbc0\udc001 levels) from 150 sediments collected at the near-to-shore munition dumpsite Kolberger Heide by the German city of Kiel were combined with 16S rRNA gene amplicon sequencing libraries. Prediction was achieved using Random Forests (RFs); the robustness of predictions was validated using Artificial Neural Networks (ANN). To facilitate machine learning with microbiome data we developed the R package phyloseq2ML. Using the most classificationrelevant 25 bacterial genera exclusively, potentially representing a TNT-indicative fingerprint, TNT was predicted correctly with up to 81.5% balanced accuracy. False positive classifications indicated that this approach also has the potential to identify samples where the original TNT contamination was no longer detectable. The fact that TNT presence was not among the main drivers of the microbial community composition demonstrates the sensitivity of the approach. Moreover, environmental variables resulted in poorer prediction rates than using microbial fingerprints. Our results suggest that microbial communities can predict even minor influencing factors in complex environments, demonstrating the potential of this approach for the discovery of contamination events over an integrated period of time. Proven for a distinct environment future studies should assess the ability of this approach for environmental monitoring in general. - , - Refereed - , - 14.1 - , - Marine debris - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1815", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1815", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1815", "url": "https:\/\/hdl.handle.net\/11329\/1815" }, "author": [ { "@type": "Person", "name": "Janssen, Ren\u00e9" }, { "@type": "Person", "name": "Beck, Aaron J." }, { "@type": "Person", "name": "Werner, Johannes" }, { "@type": "Person", "name": "Dellwig, Olaf" }, { "@type": "Person", "name": "Alneberg, Johannes" }, { "@type": "Person", "name": "Kreikemeyer, Bernd" }, { "@type": "Person", "name": "Maser, Edmund" }, { "@type": "Person", "name": "B\u00f6ttcher, Claus" }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Andersson, Anders F." }, { "@type": "Person", "name": "Labrenz, Matthias" } ], "keywords": [ "Munitions", "Dumpsite", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2334", "name": "Fishing for data and sorting the catch: assessing the data quality, completeness and fitness for use of data in marine biogeographic databases.", "description": " - Being able to assess the quality and level of completeness of data has become indispensable in marine biodiversity research, especially when dealing with large databases that typically compile data from a variety of sources. Very few integrated databases offer quality flags on the level of the individual record, making it hard for users to easily extract the data that are fit for their specific purposes. This article describes the different steps that were developed to analyse the quality and completeness of the distribution records within the European and international Ocean Biogeographic Information Systems (EurOBIS and OBIS). Records are checked on data format, completeness and validity of information, quality and detail of the used taxonomy and geographic indications and whether or not the record is a putative outlier. The corresponding quality control (QC) flags will not only help users with their data selection, they will also help the data management team and the data custodians to identify possible gaps and errors in the submitted data, providing scope to improve data quality. The results of these quality control procedures are as of now available on both the EurOBIS and OBIS databases. Through the Biology portal of the European Marine Observation and Data Network (EMODnet Biology), a subset of EurOBIS records\u2014passing a specific combination of these QC steps\u2014is offered to the users. In the future, EMODnet Biology will offer a wide range of filter options through its portal, allowing users to make specific selections themselves. Through LifeWatch, users can already upload their own data and check them against a selection of the here described quality control procedures. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2334", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2334", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2334", "url": "https:\/\/hdl.handle.net\/11329\/2334" }, "author": [ { "@type": "Person", "name": "Vandepitte, Leen" }, { "@type": "Person", "name": "Bosch, Samuel" }, { "@type": "Person", "name": "Tyberghein, Lennert" }, { "@type": "Person", "name": "Waumans, Filip" }, { "@type": "Person", "name": "Vanhoorne, Bart" }, { "@type": "Person", "name": "Hernandez, Francisco" }, { "@type": "Person", "name": "De Clerck, Olivier" }, { "@type": "Person", "name": "Mees, Jan" } ], "keywords": [ "Biodiversity data", "Biota abundance, biomass and diversity", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/323", "name": "Application of environmental metagenomic analyses for environmental impact assessments. Version 1, 01 May 2017", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/323", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/323", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/323", "url": "https:\/\/hdl.handle.net\/11329\/323" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Microbes", "DNA", "Sequencing", "Sample analysis", "PCR", "Bioanalyzer", "Amplicon Sequence Analysis", "Environmental impact assessment", "Mining effects", "Biota", "Biodiversity", "Mineral resources", "Seabed", "Genes", "Parameter Discipline::Marine geology", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::autoanalysers", "Instrument Type Vocabulary::elemental analysers", "Data Management Practices::Data analysis", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1054", "name": "OGC\u00ae Land and Infrastructure Conceptual Model Standard (LandInfra), Version 1.0.", "description": " - This OGC Land and Infrastructure Conceptual Model Standard presents the implementation-independent concepts supporting land and civil engineering infrastructure facilities. Conceptual model subject areas include facilities, projects, alignment, road, rail, survey, land features, land division, and wet infrastructure (storm drainage, wastewater, and water distribution systems). The initial release of this standard includes all of these subject areas except wet infrastructure, which is anticipated to be released as a future extension. This standard assumes the reader has a basic understanding of surveying and civil engineering concepts. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1054", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1054", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1054", "url": "https:\/\/hdl.handle.net\/11329\/1054" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1553", "name": "The Beijing Declaration on Research Data.", "description": " - Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require datai to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now. - , - Published - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1553", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1553", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1553", "url": "https:\/\/hdl.handle.net\/11329\/1553" }, "contributor": [ { "@type": "Organization", "name": "Committee on Data (CODATA)" } ], "keywords": [ "Data policy", "Research data", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data policy development", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/659", "name": "Marine biological data: quality control and management practices, WP5, D5.4. Version 4.0.", "description": " - In JERICO-NEXT, a major effort is initiated towards a stronger integration of biological information as part of the observing networks. These objectives will be realized through the integration of mature technologies and the development of emerging technologies capable of delivering operational biological data. During the recent years, large marine biological data systems have been created to store, archive and integrate traditional marine biological data. In the framework of JERICO-NEXT an operational link will be created with EMODnet biology, the biological component of the European Marine Observation and Data Network and OBIS, the Ocean Biogeographic Information System. This will facilitate the data exchange between the coastal observatories and the existing marine biological data networks and hereby maximize access to marine biological data for any type of user on a marine basin-or-region-wide basis. Integration of data involves the implementation of data quality control steps. Evaluating and documenting data quality is since many years standard practice in disciplines like medicine and genetics, however only the last years similar effort is being done for biologic al data, more particular for biodiversity data. This report is part of the JERICO-NEXT WP5 on data management. The first objective is the description of the general biological data management practices. This aims at providing procedures and methodologies to enable data collected through the project to comply with the international standards regarding their quality and metadata. The second objective is to focus on the details of biological data quality control. This report is seen as a living document that can be amended during the course of the project to incorporate progressive insights or in light of specific emerging needs. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/659", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/659", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/659", "url": "https:\/\/hdl.handle.net\/11329\/659" }, "author": [ { "@type": "Person", "name": "Tyberghein, L." }, { "@type": "Person", "name": "Claus, S." }, { "@type": "Person", "name": "Deneudt, K." } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "Biological data", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data quality control", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/164", "name": "MIM Publication Series Volume 1. Report on diagnostic procedures and a definition of minimum requirements for providing information services on a national and\/or regional level.", "description": " - It is suggested that the diagnostic procedures should include: an assessment of the needs of the state\/region; the completion of a survey by the potential centre(s); and a site visit to the potential centre(s). Minimum requirements are set out for the required infrastructure, organizational needs, accommodation, mail and telecommunications, equipment, expertise and library and information collection. - , - Published - , - National information Centre, Regional information Centre, Marine information Management, Information needs, Information requirement, Information centre organization - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/164", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/164", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/164", "url": "https:\/\/hdl.handle.net\/11329\/164" }, "author": [ { "@type": "Person", "name": "Moulder, D.S." }, { "@type": "Person", "name": "Moritz, T." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine Information Management", "Information centres", "Information handling", "Librarians", "Libraries", "Libraries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1902", "name": "Bayesian statistics and modelling.", "description": " - Bayesian statistics is an approach to data analysis based on Bayes\u2019 theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. This Primer describes the stages involved in Bayesian analysis, from specifying the prior and data models to deriving inference, model checking and refinement. We discuss the importance of prior and posterior predictive checking, selecting a proper technique for sampling from a posterior distribution, variational inference and variable selection. Examples of successful applications of Bayesian analysis across various research fields are provided, including in social sciences, ecology, genetics, medicine and more. We propose strategies for reproducibility and reporting standards, outlining an updated WAMBS (when to Worry and how to Avoid the Misuse of Bayesian Statistics) checklist. Finally, we outline the impact of Bayesian analysis on artificial intelligence, a major goal in the next decade. - , - Refereed - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1902", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1902", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1902", "url": "https:\/\/hdl.handle.net\/11329\/1902" }, "author": [ { "@type": "Person", "name": "van de Schoot, Rens" }, { "@type": "Person", "name": "Depaoli, Sarah" }, { "@type": "Person", "name": "King, Ruth" }, { "@type": "Person", "name": "Kramer, Bianca" }, { "@type": "Person", "name": "M\u00e4rtens, Kaspar" }, { "@type": "Person", "name": "Tadesse, Mahlet G." }, { "@type": "Person", "name": "Vannucci, Marina" }, { "@type": "Person", "name": "Gelman, Andrew" }, { "@type": "Person", "name": "Veen, Duco" }, { "@type": "Person", "name": "Willemsen, Joukje" }, { "@type": "Person", "name": "Yau, Christopher" } ], "keywords": [ "Cross-discipline", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1940", "name": "The Coastal Observing System for Northern and Arctic Seas (COSYNA).", "description": " - The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better un derstand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Partic ular focus is given to the German Bight in the North Sea as a prime example of a heavily used coastal area, and Svalbard as an example of an Arctic coast that is under strong pressure due to global change. The COSYNA automated observing and modelling sys tem is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to help assess the impact of anthropogenically induced change. Observa tions are carried out by combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instru ments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal seas. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational sys tem providing descriptions and forecasts of key hydrographic variables. Data and data products are publicly available free of charge and in real time. They are used by multiple interest groups in science, agencies, politics, industry, and the public. - , - Refereed - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Methodological commentary\/perspect - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1940", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1940", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1940", "url": "https:\/\/hdl.handle.net\/11329\/1940" }, "author": [ { "@type": "Person", "name": "Baschek, Burkard" }, { "@type": "Person", "name": "Schroeder, Friedhelm" }, { "@type": "Person", "name": "Brix, Holger" }, { "@type": "Person", "name": "Riethm\u00fcller, Rolf" }, { "@type": "Person", "name": "Badewien, Thomas H." }, { "@type": "Person", "name": "Breitbach, Gisbert" }, { "@type": "Person", "name": "Br\u00fcgge, Bernd" }, { "@type": "Person", "name": "Colijn, Franciscus" }, { "@type": "Person", "name": "Doerffer, Roland" }, { "@type": "Person", "name": "Eschenbach, Christiane" }, { "@type": "Person", "name": "Friedrich, Jana" }, { "@type": "Person", "name": "Fischer, Philipp" }, { "@type": "Person", "name": "Garthe, Stefan" }, { "@type": "Person", "name": "Horstmann, Jochen" }, { "@type": "Person", "name": "Krasemann, Hajo" }, { "@type": "Person", "name": "Metfies, Katja" }, { "@type": "Person", "name": "Merckelbach, Lucas" }, { "@type": "Person", "name": "Ohle, Nino" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Pr\u00f6frock, Daniel" }, { "@type": "Person", "name": "R\u00f6ttgers, R\u00fcdiger" }, { "@type": "Person", "name": "Schl\u00fcter, Michael" }, { "@type": "Person", "name": "Schulz, Jan" }, { "@type": "Person", "name": "Schulz-Stellenfleth, Johannes" }, { "@type": "Person", "name": "Stanev, Emil" }, { "@type": "Person", "name": "Staneva, Joanna" }, { "@type": "Person", "name": "Winter, Christian" }, { "@type": "Person", "name": "Wirtz, Kai" }, { "@type": "Person", "name": "Wollschl\u00e4ger, Jochen" }, { "@type": "Person", "name": "Zielinski, Oliver" }, { "@type": "Person", "name": "Ziemer, Friedwart" } ], "keywords": [ "COSYNA", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1613", "name": "A fluorescence-activated cell sorting subsystem for the Imaging FlowCytobot.", "description": " - Recent advances in plankton ecology have brought to light the importance of variability within populations and have suggested that cell-to-cell differences may influence ecosystem-level processes such as species succession and bloom dynamics. Flow cytometric cell sorting has been used to capture individual plankton cells from natural water samples to investigate variability at the single cell level, but the crude taxonomic resolution afforded by the fluorescence and light scattering measurements of conventional flow cytometers necessitates sorting and analyzing many cells that may not be of interest. Addition of imaging to flow cytometry improves classification capability considerably: Imaging FlowCytobot, which has been deployed at the Martha's Vineyard Coastal Observatory since 2006, allows classification of many kinds of nano- and microplankton to the genus or even species level. We present in this paper a modified bench-top Imaging FlowCytobot (IFCB-Sorter) with the capability to sort both single cells and colonies of phytoplankton and microzooplankton from seawater samples. The cells (or subsets selected based on their images) can then be cultured for further manipulation or processed for analyses such as nucleic acid sequencing. The sorting is carried out in two steps: a fluorescence signal triggers imaging and diversion of the sample flow into a commercially available \u201ccatcher tube,\u201d and then a solenoid-based flow control system isolates each sorted cell along with 20 \u03bcL of fluid. - , - 14.a - , - Zooplankton biomass and diversity - , - Validated (tested by third parties) - , - Imaging FlowCytobot - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1613", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1613", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1613", "url": "https:\/\/hdl.handle.net\/11329\/1613" }, "author": [ { "@type": "Person", "name": "Lambert, Bennett S." }, { "@type": "Person", "name": "Olson, Robert J." }, { "@type": "Person", "name": "Sosik, Heidi M." } ], "keywords": [ "Fluorescence measurement", "Flow cytometry", "Cell sorting", "Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1333", "name": "Protocol for IMOS flow cytometry sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures \u2013 Protocol for IMOS flow cytometry sample collection (2.24 mins) ... - , - Published - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1333", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1333", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1333", "url": "https:\/\/hdl.handle.net\/11329\/1333" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Flow cytometry", "Biogeochemical water sampling", "IMOS", "Training video", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements", "Instrument Type Vocabulary::flow cytometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1969", "name": "Foundational primer on the 2030 Agenda for Sustainable Development.", "description": " - This SDG Primer aims to establish a common base of understanding and approach for the UN system in supporting the 2030 Agenda. It is primarily meant to inform, in broad terms, the programmes and actions of all UN entities, including their engagement with government and civil society partners. - , - Published - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1969", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1969", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1969", "url": "https:\/\/hdl.handle.net\/11329\/1969" }, "contributor": [ { "@type": "Organization", "name": "UN Development Coordination Office for UNSDG" } ], "keywords": [ "2030 Agenda", "Sustainable Development Goals", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/474.2", "name": "Marine Sampling Field Manual for Grabs and Box Corers [Version 3].", "description": " - This field manual encompasses gear designed to sample unconsolidated sediment and organisms on the seafloor, including grabs, box corers, and push corers. The samples collected by grabs and box corers can be used to derive a range of physical, chemical, and biological parameters (Eleftheriou 2013), and each of these parameters requires a particular method to process and analyse the sample (Danovaro 2010). In the interest of developing a standard protocol for marine monitoring that is readily accessible to multiple users among various disciplines, this field manual includes only a sub-set of these variables (Table 9.1). These variables were chosen because they can be used by multiple disciplines, are relatively easy to undertake, require minimal specialised equipment or chemicals, and are applicable to ecological indicators in marine monitoring (Hayes et al. 2015). Importantly, the protocol detailed here does not preclude other parameters from being investigated (e.g. Gallen et al 2019, Potter et al. 2022); rather it provides an achievable standard for acquiring fundamental data for monitoring that can be expanded as required to meet additional objectives on a given survey. For information about how to sample microplastics from sediments, please see the Microplastics Field Manual. This field manual does not include methods for sediment contaminant monitoring, as this is comprehensively covered elsewhere (Simpson et al. 2005). As activities develop (e.g. deep-sea mining) the scope may be expanded in future field manual versions to encompass sediment contaminant monitoring. Other equipment able to sample sediment is not included in this field manual due to difficulties deploying in deeper waters (e.g. suction samplers) or limited applicability to biological sampling (e.g. gravity, piston, vibro-cores) (Eleftheriou and Moore 2013). In addition, multicorers are not explicitly Page | 2 Marine Sampling Field Manuals for Monitoring Australia\u2019s Commonwealth Waters Version 3 included because small sample volume may preclude the collection of representative biological communities without aggregation (Williams et al. 2018), although we note that multicorer samples can be aggregated and processed as described in this manual. Although they are able to quantify infaunal activity, sedimentology, and biogeochemistry, sediment profile imaging (SPI) is also excluded from this field manual due to the vast differences in equipment requirements and data processing (i.e. imagery instead of sediment samples) (Aller et al. 2001, Germano et al. 2011). Although larger grabs and box corers can sample larger macrofauna and megafauna, including epifauna, for the purposes of this field manual, we focus on smaller macrofauna, including infauna (e.g. Przeslawski et al. 2018). Epifauna are targeted in the Sled and Trawl Field Manual. If researchers opt to use a grab or box corer to sample epifauna, we recommend combining Pre-Survey Preparations and Onboard Sample Acquisition from this Field Manual with Onboard Sample Processing from the Sled and Trawl Field Manual (Chapter 8). Meiofauna and microbes are not included in this field manual, and we refer researchers instead to Somerfield and Warwick (2013). For the purposes of this manual, macrofauna refer to organisms larger than 500 \u03bcm. There are varying definitions of faunal size classifications, and these differences seem to reflect the environment under consideration. For example, deep-sea researchers often consider macrofauna to be anything larger than 300 \u03bcm (e.g. De Smet et al. 2017) due to the prevalence of small body sizes in the deep-sea, while researchers in coastal or shelf waters are more likely to consider macrofauna as > 500 -1000 \u03bcm (e.g. Gray and Elliot 2009). - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Iinvertebrate abundance and distribution - , - Macroalgal canopy cover, seagrass cover - , - Hard coral cover and composition - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/474.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/474.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/474.2", "url": "https:\/\/hdl.handle.net\/11329\/474.2" }, "author": [ { "@type": "Person", "name": "Przeslawski, R." }, { "@type": "Person", "name": "Berents, P." }, { "@type": "Person", "name": "Clark, M." }, { "@type": "Person", "name": "Edgar, G." }, { "@type": "Person", "name": "Frid, C." }, { "@type": "Person", "name": "Hughes, L." }, { "@type": "Person", "name": "Ingleton, T." }, { "@type": "Person", "name": "Kennedy, D." }, { "@type": "Person", "name": "Nichol, S." }, { "@type": "Person", "name": "Smith, J." }, { "@type": "Person", "name": "Dittman, S." }, { "@type": "Person", "name": "Hooper, G." } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine and Coastal Hub" } ], "keywords": [ "Sediment sampling", "Biological sampling", "Infauna", "Epifauna", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::sediment grabs", "Instrument Type Vocabulary::unconsolidated sediment corers", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2280", "name": "High-latitude surface temperature estimates from thermal satellite data.", "description": " - The surface temperature of the polar regions controls sea ice growth, snow melt, and surface-atmosphere energy exchange. However, our limited knowledge of polar surfaces and atmospheres has hampered the development of methods to estimate surface temperature with satellite data. In this article, clear-sky surface-temperature retrieval algorithms for use with the Advanced Very High Resolution Radiometer (AVHRR) and the Along Track Scanning Radiometer (ATSR) for the Arctic and the Antarctic, over ocean and land, are presented. The methods are similar to those used in estimating sea and land surface temperatures but are developed with data specific to the polar regions. An extensive validation analysis using an annual cycle of surface measurements gives accuracies in the range of 0.3-2.1 K, the larger errors being attributable to the spatially variable surface of the validation area. For homogeneous surfaces the expected accuracy is sufficient for many climate process studies. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Advanced Very High Resolution Radiometer (AVHRR) - , - Along Track Scanning Radiometer (ATSR) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2280", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2280", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2280", "url": "https:\/\/hdl.handle.net\/11329\/2280" }, "author": [ { "@type": "Person", "name": "Key, Jeffrey R." }, { "@type": "Person", "name": "Collins, John B." }, { "@type": "Person", "name": "Fowler, Charles" }, { "@type": "Person", "name": "Stone, Robert S." } ], "keywords": [ "Infrared measurements", "Surface temperature", "radiometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/489", "name": "Processing BGC-Argo particle backscattering at the DAC level. Version 1.4, 07 March 2018.", "description": " - This document does NOT address the issue of particle backscattering quality control (either real-time or delayed mode). As a preliminary step towards that goal, this document seeks to ensure that all countries deploying floats equipped with backscattering sensors document the data and metadata related to these floats properly. We produced this document in response to action item 9 from the first Bio-Argo Data Management meeting in Hyderabad (November 12-13, 2012). If the recommendations contained herein are followed, we will end up with a more uniform set of particle backscattering data within the Bio-Argo data system, allowing users to begin analyzing not only their own particle backscattering data, but also those of others, in the true spirit of Argo data sharing. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/489", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/489", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/489", "url": "https:\/\/hdl.handle.net\/11329\/489" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Poteau, Antoine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" }, { "@type": "Person", "name": "Dall'Olmo, Giorgio" }, { "@type": "Person", "name": "Boss, Emmanuel" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Particle backscatter", "BGC-Argo", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/82", "name": "Oceanographic and Marine Meteorological Observations in the Polar Regions - A report to the Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology.", "description": " - oceanographic measurement; environmental monitoring; environmental management; marine resources; guides - , - In Geneva, December 6-8, 1999, a meeting of experts was held to discuss a JCOMM\/GOOS Polar Region Strategy. It was agreed on the importance of developing an integrated Polar Region Strategy Document for JCOMM. This document serves as primary guidance for the work of the JCOMM working group and also proved useful to GOOS in developing its work related to polar regions. Included in this document are reports on oceanographic and marine meteorological observations in the polar regions. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-8-Holland-Report\/JCOMM-TR-8.doc - , - to be updated by OCG taking into account recommedations by DBCP\/IABP and DBCP\/IPAB; once updated need to look at what information could be included in WMO No. 8, 488, 544 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/82", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/82", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/82", "url": "https:\/\/hdl.handle.net\/11329\/82" }, "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Sea ice polar observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1288", "name": "Sargassum: a Resource Guide for the Caribbean.", "description": " - The Guide is intended to serveas an initial resourcefor the Caribbean, in particular to inform the tourism industry, local governments, environmental groups and residents about Sargassum seaweed, its impact and uses, and best practice mitigation and management measures which are being undertaken. Provided this is a new and natural occurrence, there are ongoing studies on the tracking, use, effects and mitigation of Sargassum seaweed. The following pages seek to provide additional information to further educate the tourism sectorand other stakeholders. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1288", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1288", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1288", "url": "https:\/\/hdl.handle.net\/11329\/1288" }, "author": [ { "@type": "Person", "name": "Fiermonte, Isabella" } ], "contributor": [ { "@type": "Organization", "name": "Caribbean Alliance for Sustainable Tourism (CAST) and Caribbean Hotel and Tourism Association" } ], "keywords": [ "Sargassum", "Seaweed", "Management brief", "Economic impact", "Tourism", "Sustainable development", "Agriculture uses", "Landfill", "Beach cleanup", "Mitigation", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/269", "name": "Manual for Real-Time Quality Control of In-situ Temperature and Salinity Data: a Guide to Quality Control and Quality Assurance for In- situ Temperature and Salinity Observations. Version 1.0. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-875]", "description": " - The U.S. Integrated Ocean Observing System (IOOS) has a vested interest in collecting high quality data for the 26 core variables (U.S. IOOS 2010) measured on a national scale. In response to this interest, U.S. IOOS continues to establish written, authoritative procedures for the quality control (QC) of real-time data through the Quality Assurance\/Quality Control of Real-Time Oceanographic Data (QARTOD) program, addressing each variable as funding permits. This temperature and salinity (TS) manual is the fourth in a series of guidance documents that address QC of real-time data of each core variable. - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/269", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/269", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/269", "url": "https:\/\/hdl.handle.net\/11329\/269" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "QARTOD", "Temperature data", "Salinity data", "IOOS", "Quality control", "Quality assurance", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/591", "name": "Tide and Current Glossary. [1999 edition]", "description": " - The publication is a revision of the1989 edition. This edition has been a group effort by Steacy D.Hicks, Richard L. Sillcox, C.Reid Nichols, Brenda Via, and Evette C. McCray. It was subsequently revised by Chris Zervas. Final formatting, layout, and printing has been under the authority of Brenda Via. The author wishes to thank the following for their contributions: C. Reid Nichols (numerous entries), Richard L . Sillcox, Jack E. Fancher, Dr. Robert G. Williams, Thomas J. Kendrick, Douglas M. Martin, David B. Zilkoski, Richard Edwing, Michael Szabados, Steven Lyles, James Hubbard, Michael Gibson, Steven Gill, William Stoney, Dr. Ledolph Baer, and Dr. Bruce B. Parker. Special thanks is given to Dr. Kurt Hess for his numerous technical corrections and suggestions. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Surface currents - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/591", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/591", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/591", "url": "https:\/\/hdl.handle.net\/11329\/591" }, "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Controlled vocabulary", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2088", "name": "Legal aspects of abandoned, lost or otherwise discarded fishing gear.", "description": " - The growing quantity of plastic waste in the marine environment, including abandoned, lost or otherwise discarded fishing gear (ALDFG), is a global problem. A particular feature of ALDFG is the potential for some gears to continue fishing for many months or even years after they have been left in the marine environment. This study examines the legal responses to ALDFG in the context of marine fisheries. Following a discussion on the nature of ALDFG and some of the reasons why fishing gear is abandoned, lost, or otherwise discarded, the study examines the international community\u2019s response to the problem. One key finding is that ALDFG is simultaneously a fishing problem, a maritime transport problem (regarding vessel source pollution) and an environmental problem resulting in the involvement of the Food and Agriculture Organization of the United Nations (FAO), the International Maritime Organization (IMO), the United Nations Environment Programme (UNEP) and the United Nations General Assembly (UNGA) in seeking solutions. After an examination of potential legal approaches to the problem, the study describes the basic legal and institutional arrangements in four case-study jurisdictions that have adopted legal measures to address ALDFG: Australia, the European Union and its Member States, Norway and the United States of America. These case studies once again reveal a tripartite responsibility shared between fisheries, maritime transport and environment agencies. The intersectoral nature of ALDFG suggests the need for a collaborative and coordinated approach. While not all of the case-study jurisdictions make use of each of the ten individual legal measures identified, the analysis clearly shows that ALDFG is a problem that can be addressed through a legal response at the national or regional level, including through the use of extended producer responsibility schemes, various reporting requirements and gear standards. The legal tools to address the problem of ALDFG clearly exist; however, the extent to which some or all of these are necessary or appropriate in a given context \u2013 whether at the national, regional or global level \u2013 is ultimately not a legal question, but a political one. - , - Published - , - This document is part of the GloLitter Partnerships Phase I Knowledge Products Series. The GloLitter Partnerships project is implemented by the International Maritime Organization (IMO) and the Food and Agriculture Organization of the United Nations (FAO). GloLitter assists developing countries in reducing marine plastic litter from the maritime transport and fisheries sectors. - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2088", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2088", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2088", "url": "https:\/\/hdl.handle.net\/11329\/2088" }, "author": [ { "@type": "Person", "name": "Hodgson, Stephen" } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO) and International Maritime Organization" } ], "keywords": [ "Fishing Gear", "GloLitter Partnerships", "Fisheries", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1164", "name": "Web Feature Service Implementation Specification with Corrigendum. Version 1.1.3.", "description": " - This document describes the OGC Web Feature Service (WFS) operations. The WFS operations support INSERT, UPDATE, DELETE, LOCK, QUERY and DISCOVERY operations on geographic features using HTTP as the distributed computing platform. In the context of this document, a transaction is a logical unit of work that is composed of one or more data manipulation operations. Since the manner in which geographic features are persistently stored is not addressed in this document, no transaction semantics, such as atomic failure, are assumed to exist. It is the function of a web feature service, in its interaction with the data storage system used to persistently store features, to ensure that changes to data are consistent. However, the document also acknowledges the fact that many systems do support standard concurrent transaction semantics and so proposes optional operations that will allow a web feature service to take advantage of such systems (e.g. relational database systems based on SQL). Geographic features This document adopts the same concept of a geographic feature as described in the OGC Abstract Specification (http:\/\/www.opengeospatial.org\/specs\/?page=abstract) and interpreted in the OpenGIS\u00ae Geographic Markup Language(GML) Implementation Specification [2]. That is to say that the state of a geographic feature is described by a set of properties where each property can be thought of as a {name, type, value} tuple. The name and type of each feature property is determined by its type definition. Geographic features are those that may have at least one property that is geometry-valued. This, of course, also implies that features can be defined with no geometric properties at all. Processing requests This section of the document outlines, in general terms, the protocol to be followed in order to process web feature service requests. Processing requests would proceed as follows: A client application would request a capabilities document from the WFS. Such a document contains a description of all the operations that the WFS supports and a list of all feature types that it can service. A client application (optionally) makes a request to a web feature service for the definition of one or more of the feature or element types that the WFS can service. Based on the definition of the feature type(s), the client application generates a request as specified in this document. The request is posted to a web server. The WFS is invoked to read and service the request. When the WFS has completed processing the request, it will generate a status report and hand it back to the client. In the event that an error has occurred, the status report will indicate that fact. Note that \u201cclient application\u201d may include Registries and other middleware, as well as conventionally understood \u201cend-users\u201d. - , - Published - , - This Document is a Corrigendum. Tracked Changes from the original document are displayed by default. Additions are displayed with green text and yellow highlighting. Deletions are displayed with red strike-through text. You can toggle the button below to hide\/show the deletions (additions will always display). This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1164", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1164", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1164", "url": "https:\/\/hdl.handle.net\/11329\/1164" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Implementation Standard", "Web feature service" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2449", "name": "Ghosts in the data: false detections in VEMCO pulse position modulation acoustic telemetry monitoring equipment", "description": " - False-positive data (better known as \"false detections\") in VEMCO VR2 acoustic telemetry monitoring studies that use pulse position modulation coding can cause biased or erroneous outcomes in data analysis. To understand the occurrence of false detections in acoustic monitoring data sets, the results of a range test experiment using eight acoustic receivers and 12 transmitters were examined. Results: One hundred and fifty one tag ID codes were recorded, 137 of which were identified as likely from false detections, 12 were from test tags, and two were from tagged sharks. False detections accounted for < 0.05 % of detections (918) in the experiment. False detection tag ID codes were not randomly distributed amongst the available codes, being more likely to occur at IDs close to tags used in the experiment. Receivers located near the bottom recorded the most false detections and tag ID codes from false detections. Receivers at the same depth did not differ significantly in the mean number of daily false detections. The daily number of false detections recorded by a receiver did not conform to a random pattern, and was not strongly correlated with daily receiver performance. Conclusions: In an era of increasing data sharing and public storage of scientific data, the occurrence of false detections is of significant concern and the results of this study demonstrate that while rare they do occur and can be identified and accounted for in analyses. - , - Refereed - , - 14.4 - , - Fish abundance and distribution - , - Pilot or Demonstrated - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - Animal Tracking - , - Animal Behaviour - , - VEMCO VR2W acoustic receiver - , - VEMCO V16-4L acoustic transmitter - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2449", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2449", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2449", "url": "https:\/\/hdl.handle.net\/11329\/2449" }, "author": [ { "@type": "Person", "name": "Simpfendorfer, Colin A." }, { "@type": "Person", "name": "Huveneers, Charlie" }, { "@type": "Person", "name": "Steckenreuter, Andre" }, { "@type": "Person", "name": "Tattersall, Katherine Lesley" }, { "@type": "Person", "name": "Hoenner, Xavier" }, { "@type": "Person", "name": "Harcourt, Rob" }, { "@type": "Person", "name": "Heupel, Michelle R." } ], "keywords": [ "False-positive data", "IMOS-AATAMS", "Acoustic receiver performance", "Acoustics", "Fish", "acoustic tracking systems", "Data analysis", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2279", "name": "Interpreting environmental change in coastal Alaska using traditional and scientific ecological knowledge.", "description": " - Humans who interact directly with local ecosystems possess traditional ecological knowledge that enables them to detect and predict ecosystem changes. Humans who use scientific ecological methods can use species such as mollusks that lay down annual growth rings to detect past environmental variation and use statistical models to make predictions about future change. We used traditional ecological knowledge shared by local Inupiaq, combined with growth histories of two species of mollusks, at different trophic levels, to study local change in the coastal ecosystems of Kotzebue, Alaska, an area in the Arctic without continuous scientific monitoring. For the mollusks, a combination of the Arctic Oscillation and total Arctic ice coverage, and summer air temperature and summer precipitation explained 79-80% of the interannual variability in growth of the suspension feeding Greenland cockle (Serripes groenlandicus) and the predatory whelk (Neptunea hero), respectively, indicating these mollusks seem to be impacted by local and regional environmental parameters, and should be good biomonitors for change in coastal Alaska. The change experts within the Kotzebue community were the elders and the fishers, and they observed changes in species abundance and behaviors, including benthic species, and infer that a fundamental change in the climate has taken place within the area. We conclude combining traditional and scientific ecological knowledge provides greater insight than either approach alone, and offers a powerful way to document change in an area that otherwise lacks widespread quantitative monitoring. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2279", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2279", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2279", "url": "https:\/\/hdl.handle.net\/11329\/2279" }, "author": [ { "@type": "Person", "name": "Ambrose, William G. Jr" }, { "@type": "Person", "name": "Clough, Lisa M." }, { "@type": "Person", "name": "Johnson, Jeffrey C." }, { "@type": "Person", "name": "Greenacre, Michael" }, { "@type": "Person", "name": "Griffith, David C." }, { "@type": "Person", "name": "Carroll, Michael L." }, { "@type": "Person", "name": "Whiting, Alex" } ], "keywords": [ "Greenland cockle mollusk", "Predatory whelk mollusk", "Mollusk growth rates", "Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/612", "name": "Best Practices for the Ocean Moored Observatories.", "description": " - Real-time spatio-temporal meteorological and oceanographic data, from the Ocean moored observatories, are essential for the precise forecast of the ocean state, climate variability studies and reliable weather prediction. Precise spatio-temporal measurement of subsurface parameters such as temperature, salinity and current are essential to understand the intra-seasonal and inter-annual evolution of monsoons and tropical cyclones. To cater to this time-critical information, moored observatories have to continuously be operational in the harsh marine environment to measure these essential ocean variables. However, bio-fouling and corrosion limits the life time and accuracy of the highly precise measuring instruments. Thus, best practices in these moored observations are essential for long term accurate and cost-effective ocean observation. The Indian moored buoy network which has been operational since 1997, has been providing quality data over the past decade. This paper describes the best operational practices and quality control processes followed in the Indian moored buoy system design, sensor calibration, testing, integration, deployment, retrieval, and data quality control over the past two decades, which has helped to achieve an average meteorological data return of 90%. - , - Refereed - , - 14.a - , - Best Practice - , - Guide - , - 2018-08-24 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/612", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/612", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/612", "url": "https:\/\/hdl.handle.net\/11329\/612" }, "author": [ { "@type": "Person", "name": "Venkatesan, Ramasamy" }, { "@type": "Person", "name": "Ramesh, Krishnamoorthy" }, { "@type": "Person", "name": "Kishor, Anand" }, { "@type": "Person", "name": "Vedachalam, Narayanaswamy" }, { "@type": "Person", "name": "Atmanand, Malayath A." } ], "keywords": [ "Moored buoys", "Sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1690", "name": "Spatial trends in shipping activity (AIS derived shipping activity \u2013 data standards).", "description": " - This guideline comprises two pdf files, one is a report entitled \u2018AIS Derived Shipping Activity - Data Standards\u2019 and the other is a \u2018Draft data guideline for the presentation of AIS Derived Vessel Spatial Data\u2019. These files were the output of work undertaken by ABP Marine Environmental Research Ltd (ABPmer) commissioned by The Marine Management Organisation (MMO) to develop approaches for the mapping of shipping activity using Automatic Identification System (AIS) data supplied by the Maritime and Coastguard Agency (MCA). The draft guideline provides a suggested definition for the format of AIS derived vessel spatial data and its representation within mapped products and builds on the existing standards for capture and display of AIS raw data. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1690", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1690", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1690", "url": "https:\/\/hdl.handle.net\/11329\/1690" }, "author": [ { "@type": "Person", "name": "Smedley, Monty" }, { "@type": "Person", "name": "Baggott, Jonathan" }, { "@type": "Person", "name": "Osborn, Gordon" } ], "contributor": [ { "@type": "Organization", "name": "Marine Management Organization" } ], "keywords": [ "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1232", "name": "GO FLO Repair: Dr GO-FLO presents: Cleaning your new General Oceanic's GO-FLO. [Training video]", "description": " - The video shows how to disassemble and clean [ and reassemble] GO Flo bottles used in GEOTRACES to take uncontaminated marine water samples. 23.44 mins. A go-flo bottle is used to collect water samples for research of plankton, nutrient, pigment particles etc. A go-flo bottle is similar to a Niskin bottle except that a go-flo bottle is designed to avoid sample contamination. A water sample collected by a Niskin bottle can be contaminated by a microlayer present on the water surface enriched in organic material, trace elements and dust. The go-flo bottle is lowered into the water by a cable from the research vessel. It features a close-open-close operation. Contrary to the Niskin bottle, the go-flo bottle enters the water closed to avoid any possible contamination with the water surface. The top and bottom of the bottle are equipped with a stopper ball, which first have to rotate 90 degrees to open or close the bottle. As the bottles are lowered into the water, the increased hydrostatic pressure causes the pressure release valve to pop in and the balls to rotate 90 degrees and thereby opening the bottle. Generally, this happens at a depth of approximately 10 m. Just like the Niskin bottle, the go-flo bottle is provided by a messenger. This is a weight that is launched at specific depth of interest form a research vessel down to the go-flo bottle. The messenger will trigger a chain reaction to close the bottle. The go-flo bottle can be deployed individually, serially or composed in a rosette. - , - GEOTRACES - , - Published - , - Additional Information: Cutter, G.A. & Bruland, K.W. (2012) Rapid and noncontaminating sampling system for trace elements in global ocean surveys. Limnology and Oceanography Methods, 10, pp.425-436. DOI: https:\/\/doi.org\/10.4319\/lom.2012.10.425 - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Nutrients - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1232", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1232", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1232", "url": "https:\/\/hdl.handle.net\/11329\/1232" }, "author": [ { "@type": "Person", "name": "Cutter, Gregory" } ], "contributor": [ { "@type": "Organization", "name": "Old Dominion University, Department of Ocean, Earth and Atmopheric Sciences" } ], "keywords": [ "Sampling bottle", "Water sampler", "GO FLO bottle", "Plankton", "Pigment particles", "GEOTRACES", "Traiing video", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Parameter Discipline::Chemical oceanography::Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1795", "name": "Evaluating LoRaWAN Connectivity in a Marine Scenario.", "description": " - The growing need for interoperability among the different oceanic monitoring systems to deliver services able to answer the requirements of stakeholders and end-users led to the development of a low-cost machine-to-machine communication system able to guarantee data reliability over marine paths. In this framework, an experimental evaluation of the performance of long-range (LoRa) technology in a fully operational marine scenario has been proposed. In-situ tests were carried out exploiting the availability of (i) a passenger vessel and (ii) a research vessel operating in the Ligurian basin (North-Western Mediterranean Sea) both hosting end-nodes, and (iii) gateways positioned on mountains and hills in the inland areas. Packet loss ratio, packet reception rate, received signal strength indicator, signal to noise, and expected signal power ratio were chosen as metrics in line of sight and not the line of sight conditions. The reliability of Long Range Wide Area Network (LoRaWAN) transmission over the sea has been demonstrated up to more than 110 km in a free space scenario and for more than 20 km in a coastal urban environment. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1795", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1795", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1795", "url": "https:\/\/hdl.handle.net\/11329\/1795" }, "author": [ { "@type": "Person", "name": "Pensieri, Sara" }, { "@type": "Person", "name": "Viti, Federica" }, { "@type": "Person", "name": "Moser, Gabriele" }, { "@type": "Person", "name": "Serpico, Sebastiano Bruno" }, { "@type": "Person", "name": "Maggiolo, Luca" }, { "@type": "Person", "name": "Pastorino, Martina" }, { "@type": "Person", "name": "Solarna, David" }, { "@type": "Person", "name": "Cambiaso, Andrea" }, { "@type": "Person", "name": "Carraro, Carlo" }, { "@type": "Person", "name": "Degano, Cristiana" }, { "@type": "Person", "name": "Mainenti, Ilaria" }, { "@type": "Person", "name": "Seghezza, Silvia" }, { "@type": "Person", "name": "Bozzano, Roberto" } ], "keywords": [ "Internet of Things", "Low Powerwide Area Network (LPWAN)", "LoRaWAN", "Administration and dimensions", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/233", "name": "ICES Data Guidelines for Discrete Water Samples. (Compiled December 1999, revised August 2001; June 2006) .", "description": " - In the context of this guideline, discrete water sample data are considered to be any data that result from a single collection of water and so cover s a huge variety of parameters. This collection of water must have a specific, identifiable time, position and depth. Such data could originate from a single bottle attached to a rosette or water drawn from a non - toxic supply. No integrated samples ar e considered as part of discrete water sample data. Thus, tows that result in integrated data values are not considered in discrete water sample data. Nor are integrated samples from a pumping system or sediment trap. - , - Published - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/233", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/233", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/233", "url": "https:\/\/hdl.handle.net\/11329\/233" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Bottle data", "Quality control", "Hydrographic data", "Sampling", "Data management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2285", "name": "Short-Term Polar Motion Forecast Based on the Holt-Winters Algorithm and Angular Momenta of Global Surficial Geophysical Fluids.", "description": " - By taking into account the variable free polar motion (PM) known as the Chandler wobble (CW) and irregular forced PM excited by quasi-periodic changes in atmosphere, oceans and land water (described by the data of effective angular momenta EAM), we propose a short-term PM forecast method based on the Holt-Winters (HW) additive algorithm (termed as the HW-VCW method, with VCW denoting variable CW). In this method, the variable CW period is determined by minimizing the differences between PM observations and EAM-derived PM for every 8-year sliding timespan. Compared to the X- and Y-pole forecast errors (Delta PMX and Delta PMY) of the International Earth Rotation and Reference Systems Service (IERS) Bulletin A, our results derived from operational EAM can reduce Delta PMX by up to 38.4% and Delta PMY by up to 34.3% for forecasts ranging from 1 to 30 days. Further, we prove that using EAM forecast instead of operational EAM in the HW-VCW method can achieve similar accuracies. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2285", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2285", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2285", "url": "https:\/\/hdl.handle.net\/11329\/2285" }, "author": [ { "@type": "Person", "name": "Luo, Jiesi" }, { "@type": "Person", "name": "Chan, Wei" }, { "@type": "Person", "name": "Ray, Jim" }, { "@type": "Person", "name": "Li, Jiancheng" } ], "keywords": [ "Holt-Winters algorithm", "Earth orientation", "Polar motion forecast", "Field geophysics", "Data analysis", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2270", "name": "Simulation of factors affecting Emiliania huxleyi blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection.", "description": " - The observed warming in the Arctic is more than double the global average, and this enhanced Arctic warming is projected to continue throughout the 21st century. This rapid warming has a wide range of impacts on polar and sub-polar marine ecosystems. One of the examples of such an impact on ecosystems is that of coccolithophores, particularly Emiliania huxleyi, which have expanded their range pole-ward during recent decades. The coccolithophore E. huxleyi plays an essential role in the global carbon cycle. Therefore, the assessment of future changes in coccolithophore blooms is very important. Currently, there are a large number of climate models that give projections for various oceanographic, meteorological, and biochemical variables in the Arctic. However, individual climate models can have large biases when compared to historical observations. The main goal of this research was to select an ensemble of climate models that most accurately reproduces the state of environmental variables that influence the coccolithophore E. huxleyi bloom over the historical period when compared to reanalysis data. We developed a novel approach for model selection to include a diverse set of measures of model skill including the spatial pattern of some variables, which had not previously been included in a model selection procedure. We applied this method to each of the Arctic and sub-Arctic seas in which E. huxleyi blooms have been observed. Once we have selected an optimal combination of climate models that most skilfully reproduce the factors which affect E. huxleyi, the projections of the future conditions in the Arctic from these models can be used to predict how E. huxleyi blooms will change in the future. Here, we present the validation of 34 CMIP5 (fifth phase of the Coupled Model Intercomparison Project) atmosphere-ocean general circulation models (GCMs) over the historical period 1979-2005. Furthermore, we propose a procedure of ranking and selecting these models based on the model's skill in reproducing 10 important oceanographic, meteorological, and biochemical variables in the Arctic and sub-Arctic seas. These factors include the concentration of nutrients (NO3, PO4, and SI), dissolved CO2 partial pressure (pCO(2)), pH, sea surface temperature (SST), salinity averaged over the top 30m (SS30m), 10m wind speed (WS), ocean surface current speed (OCS), and surface downwelling shortwave radiation (SDSR). The validation of the GCMs' outputs against reanalysis data includes analysis of the interannual variability, seasonal cycle, spatial biases, and temporal trends of the simulated variables. In total, 60 combinations of models were selected for 10 variables over six study regions using the selection procedure we present here. The results show that there is neither a combination of models nor one model that has high skill in reproducing the regional climatic-relevant features of all combinations of the considered variables in target seas. Thereby, an individual subset of models was selected according to our model selection procedure for each combination of variable and Arctic or sub-Arctic sea. Following our selection procedure, the number of selected models in the individual subsets varied from 3 to 11. The paper presents a comparison of the selected model subsets and the full-model ensemble of all available CMIP5 models to reanalysis data. The selected subsets of models generally show a better performance than the full-model ensemble. Therefore, we conclude that within the task addressed in this study it is preferable to employ the model subsets determined through application of our procedure than the full-model ensemble. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2270", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2270", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2270", "url": "https:\/\/hdl.handle.net\/11329\/2270" }, "author": [ { "@type": "Person", "name": "Gnatiuk, Natalia" }, { "@type": "Person", "name": "Radchenko, Iuliia" }, { "@type": "Person", "name": "Davy, Richard" }, { "@type": "Person", "name": "Morozov, Evgeny" }, { "@type": "Person", "name": "Bobylev, Leonid" } ], "keywords": [ "Sea surface temperature", "Salinity", "Surface wind speed", "Surface current speed", "Surface shortwave downwelling solar radiation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/191", "name": "Manual on international oceanographic data exchange. Revised edition 1991.", "description": " - The purpose of this manual is to assemble in a convenient form. the procedures, responsibilities and facilities for the international exchange of oceanographic data under the International Oceanographic Data and Information Exchange (lODE) system and under the ICSU WDC System. ICSU oceanographic programmes may be non-governmental, but many, especially for the World Climate Research Programme, are organized and conducted in collaboration with such bodies as IOC and WMO. which then involve governmental oceanographic institutions in Member countries. - , - IODE & JCOMM to pepare a new system - the status of RNODCs & SOC need to bechecked; see also IOC No. 19 - , - Oceanographic data exchange, Oceanographic data centre, data product, data collection, data catalogues - , - 1965 version was IOC Manual and Guides 1. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/191", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/191", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/191", "url": "https:\/\/hdl.handle.net\/11329\/191" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data acquisition", "Data processing", "Data transmission", "Data collections", "Oceanographic data", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/437", "name": "Robots as vectors for marine invasions: best practices for minimizing transmission of invasive species via observation-class ROVs.", "description": " - Remotely operated vehicles (ROVs) present a potential risk for the transmission of invasive species. This is particularly the case for small, low-cost microROVs that can be easily transported among ecosystems and, if not properly cleaned and treated, may introduce novel species into new regions. Here we present a set of 5 best-practice guidelines to reduce the risk of marine invasive species introduction for microROV operators. These guidelines include: educating ROV users about the causes and potential harm of species invasion; visually inspecting ROVs prior to and at the conclusion of each dive; rinsing ROVs in sterile freshwater following each dive; washing ROVs in a mild bleach (or other sanitizing agent) solution before moving between discrete geographic regions or ecosystems; and minimizing transport between ecosystems. We also provide a checklist that microROV users can incorporate into their pre-and post -dive maintenance routine. - , - Refereed - , - Robots teledirigidos, particularmente de tama\u00f1o reducido y coste econ\u00f3mico, representan un riesgo para la transmisi\u00f3n de especies invasoras. Los pilotos pueden mover estas herramientas sumamente portables entre ecosistemas, y si no est\u00e1n debidamente limpiados e desinfectados, pueden introducir especies invasoras en nuevos h\u00e1bitats. Aqu\u00ed presentamos un conjunto de 5 recomendaciones para reducir el riesgo de la transmisi\u00f3n de especies invasoras. Estas recomendaciones incluyen: La educaci\u00f3n de los pilotos en materia de especies invasoras y su efecto negativo en un ecosistema; Inspecci\u00f3n visual del robot anterior y posterior de cada inmersi\u00f3n; La limpieza del robot con agua dulce tras cada inmersi\u00f3n; La limpieza del robot en una soluci\u00f3n de lej\u00eda u otro agente esterilizador, antes de moverlo entre ecosistemas; Minimizando su transporte entre ecosistemas. Con todos e sto, proveemos a los pilotos de los robots teledirigidos una lista de chequeo que deben incorporar en sus programas de mantenimiento y operaci\u00f3n - , - 14.2 - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/437", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/437", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/437", "url": "https:\/\/hdl.handle.net\/11329\/437" }, "author": [ { "@type": "Person", "name": "Thaler, Andrew David" }, { "@type": "Person", "name": "Freitag, Amy" }, { "@type": "Person", "name": "Bergman, Erika" }, { "@type": "Person", "name": "Fretz, Dominik" }, { "@type": "Person", "name": "Saleu, William" } ], "keywords": [ "ROVs", "Remotely operated vehicle", "MicroROV", "Invasive species", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/126", "name": "Procedures used at AOML to quality control real time XBT data collected in the Atlantic Ocean.", "description": " - quality control; ocean measurements; XBT - , - Quality control (QC) procedures developed and implemented at AOML for the examination of real time XBT data are presented. The steps required to QC XBT data are outlined in a \"cook book\" format. The methods employed are primarily subjective as many of the stages involve interactive input from the user. - , - SOOPIP to review (Gustavo Goni); should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/126", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/126", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/126", "url": "https:\/\/hdl.handle.net\/11329\/126" }, "author": [ { "@type": "Person", "name": "Daneshzadeh, Y.-H." }, { "@type": "Person", "name": "Festa, J.F." }, { "@type": "Person", "name": "Minton, S.M." } ], "contributor": [ { "@type": "Organization", "name": "NOAA Atlantic Oceanographic and Meteorological Laboratory" } ], "keywords": [ "AOML Quality Control Procedures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1437", "name": "A Consumer\u2019s Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean.", "description": " - Phytoplankton are composed of diverse taxonomical groups, which are manifested as distinct morphology, size, and pigment composition. These characteristics, modulated by their physiological state, impact their light absorption and scattering, allowing them to be detected with ocean color satellite radiometry. There is a growing volume of literature describing satellite algorithms to retrieve information on phytoplankton composition in the ocean. This synthesis provides a review of current methods and a simplified comparison of approaches. The aimis to provide an easily comprehensible resource for non-algorithm developers, who desire to use these products, thereby raising the level of awareness and use of these products and reducing the boundary of expert knowledge needed to make a pragmatic selection of output products with confidence. The satellite input and output products, their associated validation metrics, as well as assumptions, strengths, and limitations of the various algorithm types are described, providing a framework for algorithm organization to assist users and inspire new aspects of algorithm development capable of exploiting the higher spectral, spatial and temporal resolutions from the next generation of ocean color satellites. - , - Refereed - , - 14.A - , - Phytoplankton biomass and diversity - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1437", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1437", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1437", "url": "https:\/\/hdl.handle.net\/11329\/1437" }, "author": [ { "@type": "Person", "name": "Mouw, Colleen B." }, { "@type": "Person", "name": "Hardman-Mountford, Nick J." }, { "@type": "Person", "name": "Alvain, S\u00e9verine" }, { "@type": "Person", "name": "Bracher, Astrid" }, { "@type": "Person", "name": "Brewin, Robert J. W." }, { "@type": "Person", "name": "Bricaud, Annick" }, { "@type": "Person", "name": "Ciotti, Aurea M." }, { "@type": "Person", "name": "Devred, Emmanuel" }, { "@type": "Person", "name": "Fujiwara, Amane" }, { "@type": "Person", "name": "Hirata, Takafumi" }, { "@type": "Person", "name": "Hirawake, Toru" }, { "@type": "Person", "name": "Kostadinov, Tihomir S." }, { "@type": "Person", "name": "Roy, Shovonlal" }, { "@type": "Person", "name": "Uitz, Julia" } ], "keywords": [ "Satellite sensing", "Remote sensing", "Ocean colour remote sensing", "Optics", "Pphytoplankton functional types", "Particle size distribution", "Taxonomic composition", "Bio-optical algorithms", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2386", "name": "Quantifying Daytime Heating Biases in Marine Air Temperature Observations from Ships.", "description": " - Marine air temperatures recorded on ships during the daytime are known to be biased warm on average due to energy storage by the superstructure of the vessels. This makes unadjusted daytime observations unsuitable for many applications including for the monitoring of long-term temperature change over the oceans. In this paper a physicsbased approach is used to estimate this heating bias in ship observations from ICOADS. Under this approach, empirically determined coefficients represent the energy transfer terms of a heat budget model that quantifies the heating bias and is applied as a function of cloud cover and the relative wind speed over individual ships. The coefficients for each ship are derived from the anomalous diurnal heating relative to nighttime air temperature. Model coefficients, cloud cover, and relative wind speed are then used to estimate the heating bias ship by ship and generate nighttime-equivalent time series. A variety of methodological approaches were tested. Application of this method enables the inclusion of some daytime observations in climate records based on marine air temperatures, allowing an earlier start date and giving an increase in spatial coverage compared to existing records that exclude daytime observations. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2386", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2386", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2386", "url": "https:\/\/hdl.handle.net\/11329\/2386" }, "author": [ { "@type": "Person", "name": "Cropper, Thomas E." }, { "@type": "Person", "name": "Berry, David I." }, { "@type": "Person", "name": "Cornes, Richard C." }, { "@type": "Person", "name": "Kent, Elizabeth C." } ], "keywords": [ "Marine air temperature", "Diurnal effects;", "In situ atmospheric observations", "Ship observations", "Meteorology", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1410", "name": "Operational Filter Design for Non-Contact Water Level Sensors Deployed in an Open Ocean Environment: U.S. Army Corps of Engineers Field Research Facility, Duck, NC July 4 \u2013 July 25, 2008 Test Period.", "description": " - Test comparisons of four microwave water level sensors and one laser device for sensing water level were conducted at selected sites on the Atlantic and Pacific coasts as well as Lake Michigan. The microwave and laser devices being evaluated are \u2018open-air\u2019, non-contact water level sensors that differ from other sensors in having no stilling well, wave guide or other isolating structure. In this configuration, 1-Hz water level series were seen to contain considerable noise as well as variance at both tidal and non-tidal frequencies, including unrestricted wind-wave variance at higher frequencies. NOS applications related to the astronomical tide (times and heights of high and low water, duration of rise and fall, tidal datum determinations, tidal harmonic analysis, tidal prediction) require effective low-pass filtering to remove unwanted variance as well as noise. A primary filter is required to produce noise-free data at regular intervals that will enable the performance of one sensor to be compared with another - a major objective of the testing. An advanced filter, the Butterworth Infinite Impulse Response (IIR) filter was used for this purpose in combination with a MATLAB forward-backward filtering function that corrects the phase distortion commonly associated with IIR filters. Low RMS difference values for paired series of filtered, zero-mean water level attest to adequate precision among sensors but accuracy limitations reflect the differences noted in series mean water level. This finding may place a premium on sensors producing the least number of outliers. - , - Published - , - U.S. Army Corps of Engineers Field Research Facility, Duck, NC July 4 \u2013 July 25, 2008 Test . NOAA\/CO-OPS Consultant Report, - , - Current - , - 14 - , - Sea surface height - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1410", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1410", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1410", "url": "https:\/\/hdl.handle.net\/11329\/1410" }, "author": [ { "@type": "Person", "name": "Boon, John" } ], "contributor": [ { "@type": "Organization", "name": "John D. Boon Marine Consultant, LLC" } ], "keywords": [ "Non-contact water level sensor filtering", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water level markers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/356", "name": "World Ocean Database 2013 User\u2019s Manual.", "description": " - World Ocean Database 2013 (WOD13) is a scientifically quality-controlled database of selected historical in-situ surface and subsurface oceanographic measurements produced by the Ocean Climate Laboratory (OCL) at the National Oceanographic Data Center (NODC), Silver Spring, Maryland, USA. WOD13 updates and expands on an earlier version of our product, World Ocean Database 2009 (WOD09) by adding additional data and also increasing the number of standard levels and depths from 40 to 137 (see Appendix 9 for the standard depths). WOD13 provides quality-controlled data to calculate climatologies of temperature, salinity, oxygen, phosphate, silicate, and nitrate . These climatologies are used to produce the World Ocean Atlas 2013 (WOA13). The variables for which climatologies were calculated have full quality control, except for the oxygen and chlorophyll data from the Conductivity-Temperature-Depth (CTD) probes and Undulating Oceanographic Recorder (UOR) probes. These data and data for other measured variables have a more limited set of quality control. More detailed information is provided in Section III, Quality Control Procedures. In addition to quality control performed during calculation of WOA13 climatologies, quality control performed by the data submitters is included as originators\u2019 flags when available. - , - Published - , - Version 2.2 Recommended for deposit by Greg Reed - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/356", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/356", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/356", "url": "https:\/\/hdl.handle.net\/11329\/356" }, "author": [ { "@type": "Person", "name": "Johnson, D.R." }, { "@type": "Person", "name": "Boyer, T.P." }, { "@type": "Person", "name": "Garcia, H.E." }, { "@type": "Person", "name": "Locarnini, R.A." }, { "@type": "Person", "name": "Baranova, O.K." }, { "@type": "Person", "name": "Zweng, M.M." } ], "contributor": [ { "@type": "Organization", "name": "NOAA Printing Office" } ], "keywords": [ "Undulating Oceanographic Recorder (UOR)", "WOD", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::CTD undulators", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control", "Data Management Practices::Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/451", "name": "Argo Quality Control Manual for Biogeochemical Data. Version1.0, 1st March 2016.", "description": " - This document is the Argo quality control manual for biogeochemical data. It describes two levels of quality control: The first level is the real-time system that performs a set of agreed automatic checks. Adjustment in real-time can also be performed and the real-time system can evaluate quality flags for adjusted fields The second level is the delayed-mode quality control system. Please note that at the present time, official quality control procedures don\u2019t exist for all biogeochemical parameters. This document will be updated as soon as other procedures are available. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/451", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/451", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/451", "url": "https:\/\/hdl.handle.net\/11329\/451" }, "author": [ { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Thierry, Virginie" } ], "contributor": [ { "@type": "Organization", "name": "CNRS, UMR 7093, LOV, Observatoire Oce\u0301anologique, Bio-Argo Group" } ], "keywords": [ "Real time quality control", "Delayed mode quality control", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/240", "name": "ICES Guidelines for Moored Current Meter data. (Compiled October 1999; revised August 2001; April 2009)", "description": " - Current meters are primarily used for measuring water velocity through time. Moored instruments may use mechanical (rotor and vane), electromagmetic, o r acoustic technology to perform the measurements. Current meters may also have attached sensors for temperature, conductivity, pressure, oxygen and turbidity measurements. - , - Published - , - Subsurface currents - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/240", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/240", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/240", "url": "https:\/\/hdl.handle.net\/11329\/240" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Velocity", "Current meter", "Acoustic data", "Quality control", "Data management", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::acoustic velocity systems", "Instrument Type Vocabulary::current meters", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2214", "name": "Retrieval of Sea Surface Wind Speed from Spaceborne SAR over the Arctic Marginal Ice Zone with a Neural Network.", "description": " - In this paper, we presented a method for retrieving sea surface wind speed (SSWS) from Sentinel-1 synthetic aperture radar (SAR) horizontal-horizontal (HH) polarization data in extra-wide (EW) swath mode, which have been extensively acquired over the Arctic for polar monitoring. In contrast to the conventional algorithm, i.e., using a geophysical model function (GMF) to retrieve SSWS by spaceborne SAR, we introduced an alternative retrieval method based on a GMF-guided neural network. The SAR normalized radar cross section, incidence angle, and wind direction are used as the inputs of a back propagation (BP) neural network, and the output is the SSWS. The network is developed based on 11,431 HH-polarized EW images acquired in the marginal ice zone (MIZ) of the Arctic from 2015 to 2018 and their collocated scatterometer wind measurements. Verification of the neural network based on the testing dataset yields a bias of 0.23 m\/s and a root mean square error (RMSE) of 1.25 m\/s compared to the scatterometer wind data for wind speeds less than approximately 30 m\/s. Further comparison of the SAR retrieved SSWS with independent buoy measurements shows a bias and RMSE of 0.12 m\/s and 1.42 m\/s, respectively. We also analyzed the uncertainty of the retrieval when reanalysis model wind direction data are used as inputs to the neural network. By combining the detected sea ice cover information based on SAR data, sea ice and marine-meteorological parameters can be derived simultaneously by spaceborne SAR at a high spatial resolution in the Arctic. - , - Refereed - , - 14.a - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2214", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2214", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2214", "url": "https:\/\/hdl.handle.net\/11329\/2214" }, "author": [ { "@type": "Person", "name": "Li, Xiao-Ming" }, { "@type": "Person", "name": "Qin, Tingting" }, { "@type": "Person", "name": "Wu, Ke" } ], "keywords": [ "Machine Learning", "SAR", "Surface wind speed", "Cryosphere", "radiometers", "synthetic aperture radars", "Data processing", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1544", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report. Version 1.0. Temperature Records 2006-2019. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1913]", "description": " - This report details the quality control applied to the temperature data collected from the Southern Ocean Time Series (SOTS) moorings between 2006 and 2019. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1544", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1544", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1544", "url": "https:\/\/hdl.handle.net\/11329\/1544" }, "author": [ { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Weeding, Ben" }, { "@type": "Person", "name": "Shadwick, Elizabeth H." }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Instrument Type Vocabulary::water temperature sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2604", "name": "Surface water CO2 measurements from ships of opportunity, A report for Australia\u2019s Integrated Marine Observing System.", "description": " - Underway measurements of the fugacity of carbon dioxide (fCO2) in surface waters and the atmosphere are made using General Oceanics Incorporated Model 8050 or 8060 systems (GO) equipped with LI-COR gas analysers. - , - Unpublished - , - Non Refereed - , - Current - , - 14.3 - , - Sea surface temperature - , - Sea surface salinity - , - Oxygen - , - Mature - , - Multi-organisational - , - Carbon Dioxide - , - Atmospheric Pressure - , - fCO2 - , - LI-COR either LI-7815, LI-7000 or LI-6262 - , - Vented shower equilibrator with water jacket (General Oceanics) - , - Sea-Bird Electronics (SBE-38) - , - Sea-Bird Electronics (SBE45 or 21) - , - Aanderaa 3835, 4330 or 4835 - , - GE Druck RPT350 or DPS81-HA - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2604", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2604", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2604", "url": "https:\/\/hdl.handle.net\/11329\/2604" }, "author": [ { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "Neill, Craig" }, { "@type": "Person", "name": "Akl Uhri, John" } ], "contributor": [ { "@type": "Organization", "name": "CSIRO" } ], "keywords": [ "Carbonate system", "continuous water samplers", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1256", "name": "International list of Voluntary Observing Ships Metadata fields & descriptions, exchange formats and code tables. Metadata Format Version 04. (Document Revision 4.2) .", "description": " - WMO maintains a catalogue of ships participating in the global Voluntary Observing Ship (VOS) Scheme. The catalogue is produced from the national VOS lists submitted by WMO Members. The catalogue, which contains a comprehensive range of ship\u2019s metadata, was originally available as a WMO publication, WMO-No. 47 (commonly referred to as Pub 47). Due to increasing printing and distribution costs, the publication was suspended in the late 1990s. An electronic version of the catalogue became available on the WMO website < http:\/\/www.wmo.ch\/web\/www\/ois\/pub47\/pub47-home.htm > during 2003. Despite the changed method of distribution, the electronic file retains the name of the original publication. Because of changing demands for ship\u2019s metadata, the Ship Observations Team (SOT) formed a Task Team at SOT-II (July 2003, London, UK) to revise the metadata requirements of WMO-No. 47. The proposed changes were subsequently approved at JCOMM-II (September 2006, Halifax, Canada). This document describes the field descriptions, presentation layout and file exchange formats for WMO-No. 47, Metadata Format Version 04, approved at JCOMM-II. These changes come into effect on 1 June 2013. Summary of changes in this version 1. Type of meteorological reporting ships vsslM (Code Table 2202): a. Add new code 80 for manually reporting third party support ship. b. Add new code 85 for AWS-equipped third party support ship. 2. Exposure of the hygrometer hgrE, exposure of the dry-bulb thermometer thmE (Code Table 0801) a. Add new code HH for hand held digital thermometer\/humidity sensor. b. Add new code RS for radiation shield (e.g. cylindrical \/ Gill multi-plate radiation shield). 3. Recruiting country rcnty, country of registration reg (Code Table 1801) a. Add new code ZZ for third party support ships. 4. Change in the location referenced in the XML Schema namespace variable. - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1256", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1256", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1256", "url": "https:\/\/hdl.handle.net\/11329\/1256" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Ship metadata", "WMO", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2184", "name": "Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX).", "description": " - The Arctic marine climate system is changing rapidly, which is seen in the warming of the ocean and atmosphere, decline of sea ice cover, increase in river discharge, acidification of the ocean, and changes in marine ecosystems. Socio-economic activities in the coastal and marine Arctic are simultaneously changing. This calls for the establishment of a marine Arctic component of the Pan-Eurasian Experiment (MA-PEEX). There is a need for more in situ observations on the marine atmosphere, sea ice, and ocean, but increasing the amount of such observations is a pronounced technological and logistical challenge. The SMEAR (Station for Measuring Ecosystem-Atmosphere Relations) concept can be applied in coastal and archipelago stations, but in the Arctic Ocean it will probably be more cost-effective to further develop a strongly distributed marine observation network based on autonomous buoys, moorings, autonomous underwater vehicles (AUVs), and unmanned aerial vehicles (UAVs). These have to be supported by research vessel and aircraft campaigns, as well as various coastal observations, including community-based ones. Major manned drift-ing stations may occasionally be comparable to terrestrial SMEAR flagship stations. To best utilize the observations, atmosphere-ocean reanalyses need to be further developed. To well integrate MA-PEEX with the existing terrestrialatmospheric PEEX, focus is needed on the river discharge and associated fluxes, coastal processes, and atmospheric transports in and out of the marine Arctic. More observations and research are also needed on the specific socioeconomic challenges and opportunities in the marine and coastal Arctic, and on their interaction with changes in the climate and environmental system. MA-PEEX will promote international collaboration; sustainable marine meteorological, sea ice, and oceanographic observations; advanced data management; and multidisciplinary research on the marine Arctic and its interaction with the Eurasian continent. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2184", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2184", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2184", "url": "https:\/\/hdl.handle.net\/11329\/2184" }, "author": [ { "@type": "Person", "name": "Vihma, Timo" }, { "@type": "Person", "name": "Uotila, Petteri" }, { "@type": "Person", "name": "Sandven, Stein" }, { "@type": "Person", "name": "Pozdnyakov, Dmitry" }, { "@type": "Person", "name": "Makshtas, Alexander" }, { "@type": "Person", "name": "Pelyasov, Alexander" }, { "@type": "Person", "name": "Pirazzini, Roberta" }, { "@type": "Person", "name": "Danielsen, Finn" }, { "@type": "Person", "name": "Chalov, Sergey" }, { "@type": "Person", "name": "Lappalainen, Hanna K." }, { "@type": "Person", "name": "Ivanov, Vladimir" }, { "@type": "Person", "name": "Frolov, Ivan" }, { "@type": "Person", "name": "Albin, Anna" }, { "@type": "Person", "name": "Cheng, Bin" }, { "@type": "Person", "name": "Dobrolyubov, Sergey" }, { "@type": "Person", "name": "Arkhipkin, Viktor" }, { "@type": "Person", "name": "Myslenkov, Stanislav" }, { "@type": "Person", "name": "Petaja, Tuukka" }, { "@type": "Person", "name": "Kulmala, Markku" } ], "keywords": [ "Ice mass balance", "Sea ice", "Atmospheric boundary layer", "Air Sea interaction", "Atmosphere-ocean", "Meteorology", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1013", "name": "OGC WaterML 2: Part 4 \u2013 GroundWaterML 2 (GWML2), Version 2.2.", "description": " - This standard describes a conceptual and logical model for the exchange of groundwater data, as well as a GML\/XML encoding with examples. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1013", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1013", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1013", "url": "https:\/\/hdl.handle.net\/11329\/1013" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2102", "name": "Arctic Yacht Guidelines.", "description": " - The Arctic has some of the best preserved wilderness in the world and large parts are protected. When planning a trip to the Arctic, it is important you are a considerate visitor and take special care to minimize your impact. It is also important you are vigilant to the considerable safety risks in the area and have respect for the communities you visit and the people you meet. When sailing in the Arctic, it is especially important to consider the long distances, harsh conditions, lack of infrastructure and the need to be self-sufficient. These guidelines have been developed to assist you in being a considerate visitor while staying safe. - , - Published - , - Current - , - Mature - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2102", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2102", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2102", "url": "https:\/\/hdl.handle.net\/11329\/2102" }, "contributor": [ { "@type": "Organization", "name": "Association of Arctic Expedition Cruise Operators" } ], "keywords": [ "Tourism", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/773", "name": "Performance Verification Statement for the RBR XR-420 and XR-620 CTD Salinity Sensors.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the RBR XR-420 and XR620 CTD salinity sensors evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the XR-620 exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 - 32 2 o C with R >0.9999, SE = 0.03330 and slope = 1.001. The overall mean and variance of the absolute difference between instrument measured salinity and reference sample salinity for all treatments was -0.0262 \u00b10.0351 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were -0.0375 \u00b10.0458 mS\/cm and -0.0045 \u00b10.0048. Across all five field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. Extensive and rapid biofouling at the FL and GA test sites severely impacted instrument performance within approximately one week and more gradually over the eight weeks at the HI test site. The initial relative accuracy of instrument measured salinity during the first few days of deployment period was -0.036, -0.009, -0.003, and -0.004 psu for FL, GA, HI, and MI test sites, respectively. Variability was too great at the AK test site to precisely define a specific offset. Essentially all of the variability and measurement error was traced to the performance of the conductivity cell. The temperature sensor was accurate and stable throughout all of the deployments. The average offset of the measured temperature relative to our calibrated reference temperature logger was -0.0048, -0.0013, 0.0024, 0.0162, and- 0.0037 oC for FL, GA, HI, MI, and AK, respectively. When instrument response for the first 14 days of deployment was compared together for all five field sites, a fairly consistent and linear performance response was observed with R2 = 0.997, SE = 0.734 and slope = 0.989. For vertical profiling tests, the instrument response was consistent over all depths and all ambient salinity levels. The average offset in measured salinity was -0.0191 \u00b10.0096 psu. Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. In general, there was no strong evidence for calibration drift during the period of deployment and results confirmed that any deterioration in instrument performance during field deployments tests was due to biofouling. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for any of the laboratory tests, field deployment tests, or tank exposure tests. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 3 and plus 11 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Sub surface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/773", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/773", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/773", "url": "https:\/\/hdl.handle.net\/11329\/773" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1129", "name": "Marine Monitoring of Australia's Indigenous Sea Country using Remote Technologies.", "description": " - Joint development of marine monitoring SOPs by AIMS and Indigenous Marine Ranger groups is intentionally focused on new technological advances to provide enhanced and rapid resolution of ecological patterns. These monitoring technologies are partly captured through the use of modern off-the shelf data logging instruments for physical and chemical parameters (e.g., temperature, turbidity, salinity, pH, dissolved oxygen) and partly through the use of underwater still and video imagery to quantify ecological patterns in biological communities through time (e.g., fish or benthic monitoring). However, the choice and development of each technology has to meet two additional criteria for inclusion in the manual. Firstly, data produced from the methods must be able to be interrogated at various levels of sophistication to increase utility by the full range of custodians and stakeholders (i.e., for monitoring, research, management). An example might be underwater videos that can be easily and quickly analyzed by local ranger groups to derive up-to-date estimates of the stock health for a handful of fish species that are culturally important; but the entire fish assemblage and surrounding habitat could also be quantified by a team of scientists as part of a more detailed regional or global scientific program. Secondly, because scientific monitoring is fundamentally aimed at quantifying changes through time, SOPs must provide a permanent, standardized and unbiased historical record that can be revisited at any time to ensure data quality and integrity. Here we concentrate on two ecological marine monitoring SOPs that meet these criteria to illustrate the process of how we draw on traditional knowledge and scientific monitoring methodologies to provide a powerful and effective platform for adaptively managing Australia\u2019s marine environment: 1) Baited Remote Underwater Video Stations (BRUVS) for the quantification of fish abundance and diversity; and 2) DropCam to map and survey the living and non-living components of the seafloor. - , - Refereed - , - 3 - , - 4 - , - 8 - , - 14 - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Guide - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1129", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1129", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1129", "url": "https:\/\/hdl.handle.net\/11329\/1129" }, "author": [ { "@type": "Person", "name": "Depczynski, Martial" }, { "@type": "Person", "name": "Davies, Harriet" }, { "@type": "Person", "name": "Cure, Katherine" }, { "@type": "Person", "name": "Cook, Kylie" }, { "@type": "Person", "name": "Evans-Illidge, Libby" }, { "@type": "Person", "name": "Traceylee, Forester" }, { "@type": "Person", "name": "Jackie, Gould" }, { "@type": "Person", "name": "Oades, Daniel" }, { "@type": "Person", "name": "Howard, Azton" }, { "@type": "Person", "name": "George, Kevin" }, { "@type": "Person", "name": "Underwood, Jim" }, { "@type": "Person", "name": "Wyatt, Mathew" } ], "keywords": [ "Traditional Ecological Knowledge", "Indigenous engagement", "Baited Remote Underwater Video (BRUV)", "Parameter Discipline::Environment", "Instrument Type Vocabulary::underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1987", "name": "Quality assurance and quality control summary of IMOS Bioacoustics sub-Facility data. Version 1.0.", "description": " - This document briefly describes quality assurance and quality control procedures followed to generate IMOS Ships of Opportunity Bioacoustics sub-Facility data. Ships of Opportunity is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). - , - Published - , - Refereed - , - Current - , - 14.a - , - Fish abundance and distribution - , - Invertebrate abundance and distribution - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1987", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1987", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1987", "url": "https:\/\/hdl.handle.net\/11329\/1987" }, "author": [ { "@type": "Person", "name": "Haris, Kunnath" }, { "@type": "Person", "name": "Ryan, Tim E." }, { "@type": "Person", "name": "Kloser, Rudy J." }, { "@type": "Person", "name": "Downie, Ryan A." }, { "@type": "Person", "name": "Keith, Gordon" }, { "@type": "Person", "name": "Nau, Amy W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Biological oceanography", "Fish-finder echosounders", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/756", "name": "World Health Organization and International Guidelines for toxin control, Harmful Algal Boom management, and response planning.", "description": " - Drinking water guidelines are designed to protect public health and the safety of drinking water supplies by suggesting safe levels for constituents that are known to be hazardous to health. The World Health Organization (WHO) Guidelines for Drinking Water Quality (WHO 1996; 2004) represent a scientific consensus on the health risks presented by microbes and chemicals in drinking water and are often used to derive guideline values for individual countries, states or regions. The guideline values are to be used in the development of risk management strategies and are associated with guidance on monitoring and management practices. Although no human deaths due to the consumption of cyanotoxins have been recorded, cyanobacteria and their toxins remain a significant issue for the WHO, since extended exposure may cause gastroenteritis, among other more serious health impacts (NHMRC\/NRMMC 2011). In addition, cyanotoxins are suspected to have resulted in fatalities when introduced into the human body through routes other than ingestion, such as through the use of toxin-containing water for renal dialysis (Jochimsen et al. 1998). Motivated by growing concern over the presence of cyanotoxins in drinking water, the WHO published an addendum to its Guidelines for Drinking Water Quality in 1998, which included a guideline value for microcystin-LR (MCLR), an acutely toxic cyanotoxin (WHO, 1998). The health-based guideline value for total (i.e., free plus cell-bound) concentration of MCLR was set at 1 \u03bcg\/L; however, the WHO emphasizes that the guideline value is only provisional, since it only pertains to MCLR, and since the toxicity data for other cyanotoxins are still being collected (WHO, 2004). According to the WHO, not enough data exist to allow guideline values for other cyanotoxins to be developed (WHO 2004). Concern over drinking water contamination by cyanotoxins has also grown among national regulatory bodies, due to the increasing impact of anthropogenic activity on water resources, as well as the improvement of analytical methods identifying and measuring cyanotoxins. For example, Australian drinking water authorities have set a guideline value of 1.3 \u03bcg\/L for microcystins, expressed as MCLR. New Zealand has developed maximum allowable values (MAVs) for several cyanotoxins, including anatoxin and anatoxin-A, cylindrospermopsin, microcystins, nodularin, and saxitoxins. The US Environmental Protection Agency, on the other hand, has yet to set any firm, enforceable maximum contaminant levels (MCLs) for cyanobacterial toxins, and has only added cyanobacteria and their toxins to its candidate contaminant list (CCL), which prioritizes contaminants for setting MCLs. In Canada, a maximum acceptable concentration (MAC) of 1.5 \u03bcg\/L has been developed for cyanobacterial toxins, expressed as MCLR. Canada\u2019s guideline was derived using tolerable daily intake (TDI) values, determined using no-observed adverse effect levels (NOAEL), which are based on human or animal toxicity studies. Brazil has developed guidelines for three cyanobacterial toxins (microcystins, saxitoxins, and cylindrospermopsin), with guideline values being set as 1.0 \u03bcg\/L, 3.0\" \u03bcg\/L, and 15\" \u03bcg\/L, respectively. Several other countries, however, still rely on the WHO provisional guideline of 1\"\u03bcg\/L MCLR. A comprehensive summary of international guideline values for cyanobacterial toxins from various countries worldwide are summarized in Table 8.1. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/756", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/756", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/756", "url": "https:\/\/hdl.handle.net\/11329\/756" }, "author": [ { "@type": "Person", "name": "Soltani, Alex" }, { "@type": "Person", "name": "Hess, Philipp" }, { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Anderson, Donald M." }, { "@type": "Person", "name": "Newcombe, Gayle" }, { "@type": "Person", "name": "House, Jenny" }, { "@type": "Person", "name": "Ho, Lionel" }, { "@type": "Person", "name": "Baker, Peter" }, { "@type": "Person", "name": "Burch, Michael" } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2072", "name": "A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance.", "description": " - This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the identification of objects of interest from active sonar (such as minelike objects, human figures or debris of wrecked ships). Not only is the contribution of this work to provide a systematic description of the state of the art of this field, but also to identify five main ingredients in its current development: the application of deeplearning methods using convolutional layers alone; deep-learning methods that apply biologically inspired feature-extraction filters as a preprocessing step; classification of data from frequency and time\u2013frequency analysis; methods using machine learning to extract features from original signals; and transfer learning methods. This paper also describes some of the most important datasets cited in the literature and discusses data-augmentation techniques. The latter are used for coping with the scarcity of annotated sonar datasets from real maritime missions. - , - Refereed - , - 14.a - , - Mature - , - Passive sonar - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2072", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2072", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2072", "url": "https:\/\/hdl.handle.net\/11329\/2072" }, "author": [ { "@type": "Person", "name": "Domingos, Lucas C. F." }, { "@type": "Person", "name": "Santos, Paulo E." }, { "@type": "Person", "name": "Skelton, Phillip S. M." }, { "@type": "Person", "name": "Brinkworth, Russell S. A." }, { "@type": "Person", "name": "Sammut, Karl" } ], "keywords": [ "Deep convolutional neural network", "Underwater acoustics", "Object classification", "Acoustics", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/893", "name": "Dissipation measurements using temperature microstructure from an underwater glider.", "description": " - Microstructure measurements of temperature and current shear are made using an autonomous underwater glider. The glider is equipped with fast-response thermistors and airfoil shearprobes, providing measurements of dissipation rate of temperature variance, \u03c7, and of turbulent kinetic energy, \u03b5, respectively. Furthermore, by fitting the temperature gradient variance spectra to a theoretical model, an independent measurement of \u03b5 is obtained.Both Batchelor (\u03b5B) and Kraichnan (\u03b5K) theoretical forms are used.Shear probe measurements are reported elsewhere; here, the thermistor-derived \u03b5B and \u03b5K are compared to the shearprobe results, demonstrating the possibility of dissipation measurements using gliders equipped with thermistors only. A total of 152 dive and climb profiles are used, collected during a one-week mission in the Faroe Bank Channel, sampling the turbulent dense overflow plume and the ambient water above.Measurement of \u03b5 with thermistors using a glider requires careful consideration o fdata quality. Data are screened for glider flight properties, measuremen tnoise, and the quality of fits to the theoretical models. Resulting dissipation rates from the two independent methods compare well for dissipation rates below 2\u00d710\u22127Wkg\u22121. For more energetic turbulence, thermistors underestimate dissipation rates significantly, caused primarily by increased uncertainty in the time response correction. Batchelor and Kraichnan spectral models give very similar results. Concurrent measurements of \u03b5 and \u03c7 are used to compute the dissipation flux coefficient \u0393(or so-called apparent mixing efficiency). A wide range of values is found, with a mode value of \u0393\u22480.14,in agreement with previous studies. Gliders prove to be suitable platforms for ocean microstructure measurements, complementary to existing methods. - , - Refereed - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/893", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/893", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/893", "url": "https:\/\/hdl.handle.net\/11329\/893" }, "author": [ { "@type": "Person", "name": "Peterson, Algot K." }, { "@type": "Person", "name": "Ilker, Fer" } ], "keywords": [ "Turbulence", "Batchelor spectrum", "Kraichnan spectrum", "Glider", "Temperature microstructure" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1948", "name": "Cross-cultural research must prioritize equitable collaboration.", "description": " - Research centres in low- and middle-income countries are routinely circumvented in the production of cross-cultural research on human behaviour. Where local contributions are made, collaboration is rarely equitable and often uncredited in co-authorship. Efforts to decolonize the social sciences will remain inadequate until these norms are overturned - , - Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1948", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1948", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1948", "url": "https:\/\/hdl.handle.net\/11329\/1948" }, "author": [ { "@type": "Person", "name": "Urassa, Mark" }, { "@type": "Person", "name": "Lawson, David W." }, { "@type": "Person", "name": "Wamoyi, Joyce" }, { "@type": "Person", "name": "Gurmu, Eshetu" }, { "@type": "Person", "name": "Gibson, Mhairi A." }, { "@type": "Person", "name": "Madhivanan, Purnima" }, { "@type": "Person", "name": "Placek, Caitlyn" } ], "keywords": [ "Equity", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1427", "name": "SWE Ingestion Service and User Interfaces. Version 1.1.", "description": " - SeaDataNet strives for a common standardised approach for describing and giving discovery and access to marine data from different marine disciplines. Next to delayed mode data sets by means of the CDI data discovery and access service, standardising efforts are also directed towards (near) real-time data streams as collected by operational sensors and platforms. For this application, the SeaDataCloud project has built upon these SWE standards to support the interoperable sharing of (near) real-time observation data streams. A SeaDataCloud team, led by partner 52\u00b0North, has developed the open source SeaDataNet SWE Toolkit which comprises the following components: - SWE Ingestion Service: this component supports sensor operators to receive and ingest marine observation data from platforms and sensors into a local storage database. From there (selected) data can be published as streams of (near) real-time observation data by means of SOS servers. As first step after installing the Ingestion service, the structure of the data stream has to be described in the local database, specifying platforms and sensors with SWE metadata profiles, supported by SeaDataNet SWE vocabularies, and using the 52\u00b0North SMLE editor. - SWE Viewing Services: This component, which is based on the 52\u00b0North Helgoland Sensor Web Viewer, is an application for exploring and visualising the data streams as retrieved through the SOS services. The viewer supports different types of observation data. It is capable to visualise data measured along trajectories (e.g. by research vessels) as well as profile data, besides time series data showing the historic variations of one or more parameters at fixed locations (e.g. fixed buoys and sensor stations). This document describes the implementation of the SeaDataCloud SWE Ingestion Service. The aim of this component is to support sensor operators, researchers and data owners during the publication of collected marine observation data. A more detailed specification of this component is available as part of the SeaDataCloud deliverable D9.9 \u201cSpecification of the SWE ingestion service, including SWE profiles and architecture\u201d. The description in this document comprises on the one hand the backend implementation which performs the collection of data from different sources, the interpretation and conversion into an internal data model (based on the ISO\/OGC Observation and Measurements (O&M) standard, as well as the publication of the collected data into the database of an interoperable OGC Sensor Observation Service (SOS) instance (section 3). On the other hand, a frontend component is described which allows to define and manage data ingestion workflows (section 4). - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1427", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1427", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1427", "url": "https:\/\/hdl.handle.net\/11329\/1427" }, "author": [ { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Autermann, Christian" }, { "@type": "Person", "name": "De Wall, Arne" }, { "@type": "Person", "name": "Hollmann, Carsten" }, { "@type": "Person", "name": "J\u00fcrrens, Eike Hinderk" }, { "@type": "Person", "name": "Radtke, Maurin" }, { "@type": "Person", "name": "Rieke, Matthes" }, { "@type": "Person", "name": "Schulte, Jan" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataCloud" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management", "Data Management Practices::Data interoperability development", "Data Management Practices::Data exchange", "Data Management Practices::Data transformation\/conversion", "Data Management Practices::Data transmission\/networking" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1237", "name": "Monitoring Guidance for Underwater Noise in European Seas, Part II: Monitoring Guidance Specifications.", "description": " - The Marine Strategy Framework Directive (MSFD) requires European Member States (MS) to develop strategies for their marine waters that should lead to programmes of measures that achieve or maintain Good Environmental Status (GES) in European Seas. As an essential step in reaching good environmental status, MS should establish monitoring programmes, enabling the state of the marine waters concerned to be assessed on a regular basis. Criteria and methodological standards on GES of marine waters were published in 2010 (Commission Decision 2010\/477\/EU). Two indicators were described for Descriptor 11 (Noise\/Energy): Indicator 11.1.1 on low and mid frequency impulsive sounds and Indicator 11.2.1 on continuous low frequency sound (ambient noise). As a follow up to the Commission Decision, the Marine Directors in 2010 agreed to establish a Technical Subgroup (TSG) for further development of Descriptor 11 Noise\/Energy. TSG (Underwater) Noise in 2011 focused on clarifying the purpose, use and limitation of the indicators and described methodology that would be unambiguous, effective and practicable; the first report [Van der Graaf et al., 2012]1 was delivered in February 2012. Significant progress was made in the interpretation and practical implementation of the two indicators, and most ambiguities were solved. In December 2011, EU Marine Directors requested the continuation of TSG Noise, and the group was tasked with recommending how MS might best make the indicators of the Commission Decision operational. TSG Noise was asked first to provide monitoring guidance that could be used by MS in establishing monitoring schemes for underwater noise in their marine waters. Further work includes providing suggestions for (future) target setting; for addressing the biological impacts of anthropogenic underwater noise and to evaluate new information on the effects of sound on marine biota with a view to considering indicators of noise effects. The present document is Part II of the Monitoring Guidance for Underwater Noise in European Seas and provides MS with the information needed to commence the monitoring required to implement this aspect of MSFD. TSG Noise has identified ambiguities, uncertainties and other shortcomings that may hinder monitoring initiatives and has provided solutions. Methodology is described for monitoring both impulsive and ambient noise to ensure the information required for management and policy is collected in a cost-effective way. Further issues will certainly arise once monitoring starts, but the principles laid out in this guidance will help resolve these. The Monitoring Guidance for Underwater Noise is structured, as follows: - Part I: Executive Summary & Recommendations, - Part II: Monitoring Guidance Specifications, and - Part III: Background Information and Annexes. Part I of the Monitoring Guidance is the executive summary for policy and decision makers responsible for the adoption and implementation of MSFD at national level. It provides the key conclusions and recommendations presented in Part II that support the practical guidance for MS and will, enable assessment of the current level of underwater noise. Part II, is the main report of the Monitoring Guidance, is the main report of the Monitoring Guidance. It provides specifications for the monitoring of underwater noise, with dedicated sections on impulsive noise (Criterion 11.1 of the Commission Decision) and ambient noise (Criterion 11.2 of the Commission Decision) designed for those responsible for implementation of noise monitoring\/modelling, and noise registration. Part III, the background information and annexes, is not part of the guidance, but is added for additional information, examples and references that support the Monitoring Guidance specifications. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1237", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1237", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1237", "url": "https:\/\/hdl.handle.net\/11329\/1237" }, "author": [ { "@type": "Person", "name": "Dekeling, R.P.A." }, { "@type": "Person", "name": "Tasker, M.L." }, { "@type": "Person", "name": "Van der Graaf, A.J." }, { "@type": "Person", "name": "Ainslie, M.A." }, { "@type": "Person", "name": "Andersson, M.H." }, { "@type": "Person", "name": "Andr\u00e9, M." }, { "@type": "Person", "name": "Borsani, J.F." }, { "@type": "Person", "name": "Brensing, K." }, { "@type": "Person", "name": "Castellote, M." }, { "@type": "Person", "name": "Cronin, D." }, { "@type": "Person", "name": "Dalen, J." }, { "@type": "Person", "name": "Folegot, T." }, { "@type": "Person", "name": "Leaper, R." }, { "@type": "Person", "name": "Pajala, J." }, { "@type": "Person", "name": "Redman, P." }, { "@type": "Person", "name": "Robinson, S.P." }, { "@type": "Person", "name": "Sigray, P." }, { "@type": "Person", "name": "Sutton, G." }, { "@type": "Person", "name": "Thomsen, F." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "Wittekind, D." }, { "@type": "Person", "name": "Young, J.V." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Underwater noise", "Ambient noise", "TSG Noise", "Underwater sound", "Marine Strategy Framework Directive (MSFD)", "Parameter Discipline::Physical oceanography::Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/809", "name": "Appendix 4. Preservatives and methods for algal cell enumeration.", "description": " - There are multiple ways to preserve phytoplankton samples and determine the algal species composition and abundance. This Appendix provides details on some of the most common methods. Additional relevant publications are included in Section 5, References. One of the most useful is Karlson et al. (2010), which can be downloaded at http:\/\/hab.iocunesco. org\/index.php?option=com_oe&task=viewDocumentRecord&docID=5440. - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/809", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/809", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/809", "url": "https:\/\/hdl.handle.net\/11329\/809" }, "author": [ { "@type": "Person", "name": "Anderson, Donald M." }, { "@type": "Person", "name": "Karlson, Bengt" } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/764", "name": "Performance Verification Statement for the Turner C3 Fluorometer", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ hydrocarbon sensors. This verification included test applications for: (1) controlled laboratory tanks with additions of various organic, fluorescent compounds, (2) experimental wave tank with additions of two sources of crude oils with and without dispersants, (3) a moored deployment in Baltimore Harbor, and (4) hydrocast surveys in the Gulf of Mexico near a leaking oil barge. In this Verification Statement, we present the performance results of a Turner Designs C3 in situ fluorometer configured for concurrent measurement of refined fuel, crude oil, and CDOM levels. The C3 package tested in this verification integrated the Cyclops Refined Fuel Fluorometer (Ex 254 nm, Em 350 nm), the Cyclops Crude Oil Fluorometer (Ex 320, Em 510) and the Cyclops CDOM fluorometer (Ex 320, Em 470). Response specificity of each individual sensor on the C3 to a range of organic compounds was evaluated in a series of lab tests. Instrument response with respect to challenge compound concentration varied with respect to the inherent fluorescence properties of the challenge compound, as well as, sensor optical configuration. The CDOM sensor detected quinine sulfate (QS) over a large dynamic range (0-5000 ppb tested) and was insensitive to other organic compounds tested. The Crude Oil sensor exhibited a similar but dampened response to QS challenges, as expected based on the optical overlap with the CDOM sensor, but additionally displayed a weak response to carbazole and #2 Diesel Fuel challenges. The Refined Fuel sensor exhibited a lower linear dynamic range (0-100 ppb) and distinct sensitivity to challenge compounds, with sensitivity ranked as Carbazole > #2 Diesel Fuel> NDSA > QS. Instrument responses to various challenge compounds linearly scaled with standardized EEMs fluorescence intensity for each compound as estimated to correspond with the instruments emission optics. The C3 package provided discrimination between crude oil source type and dispersion state during wave tank trials at the COOGER facility at the Bedford Institute of Oceanography. Response sensitivity among the three sensors ranked as Refined Fuel > Crude Oil > CDOM. The Crude Oil and CDOM sensors response baselines were sensitive to daily changes in ambient water CDOM while the Refined Fuel sensor response was dampened to this ambient background. Field deployments in Baltimore Harbor and northern Gulf of Mexico were equivocal as all but three field reference samples were below the limit of detection for total petroleum hydrocarbons (\u2264 25 ppb), yet the output of each of the three sensors was significantly above the baseline response in deionized water. Instrument response was consistent with environmental background fluorescence as determined by EEMs analysis for both moored and hydrocast surveys, indicating that ambient fluorescence properties need to be accounted for to make quantitative hydrocarbon estimates from these sensors. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for any of the laboratory tests, field deployment tests, or tank exposure tests. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Ocean Colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/764", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/764", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/764", "url": "https:\/\/hdl.handle.net\/11329\/764" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loranger, S." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Maurer, T." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/746", "name": "Performance Verification Statement for the Idronaut Ocean Seven 305 Plus CTD.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al. (2011). A total of 263 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the Idronaut Ocean Seven 305 Plus CTD which uses a potentiometric pH sensor consisting of two electrochemical cells including the measuring sensor and the Ag\/AgCl reference sensor filled with a saturated KCl gel. ACT wants to acknowledge that this particular performance verification was not conducted under ideal conditions. One significant factor was that the company did not have the resources to send a representative for direct face to face training, and none of the ACT staff had any prior experience with this instrument. This lack of direct training contributed to one of the programming errors which caused a loss of test data. In addition, the company acknowledges a lack of full understanding of the extent of the testing and that refurbishment of the instrument between test sites could have been done better. It was felt more care should have been taken to address biofouling and confirmation of the functionality of the reference electrode. It should be noted the instrument was re-serviced by the company only prior to the Great Lakes field test since the initial receipt by ACT more than a year earlier. However, the performance verification was conducted according to the signed testing protocols and at a minimum the instrument was exposed to some form of CRM prior to deployment to confirm proper working order. The Idronaut 305 Plus was not operating at the start of the laboratory deployment due to a battery short, but the error was not discovered and corrected until January 13th, which was about 6 days into the brackish water test. Because no seawater results were obtained initially, a brief additional seawater exposure test was performed at the end of the study. After redeployment on January 13th, the instrument operated continuously for the next 33 days and generated 3162 pH measurements at 15 minute intervals. The total range of pH measured by the Idronaut 305 Plus was 6.899 to 8.276, compared to the range of our reference pH of 6.943 to 8.502. The Idronaut 305 Plus measurements tracked changing pH conditions among all water sources and temperature ranges including the rapid pH shifts from acid\/base additions, but the magnitude and direction of the offset changed for each water type (Fig.3). The mean of the differences between the Idronaut measurement and reference pH was -0.144 \u00b10.174 (N=181), with a total range of 0.502 to 0.078. At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6oC and 33. The measured ambient pH range from our discrete reference samples was 7.933 \u2013 8.077 (N=84). No results were obtained for the Idronaut 305 Plus for this field deployment test due to a programming error by ACT personnel. It was not possible to repeat the test since only one instrument was available and it needed to be submitted to the next test site. At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5oC and 34.4. The measured ambient pH range from our discrete reference samples was 7.814 \u2013 8.084 (N=101). The Idronaut 305 Plus operated continuously for the first twenty seven days (total deployment was 88 days) after which there appeared to be a short in the battery which terminated logging. During its operational period the instrument generated 2756 observations at 30 minute intervals with a measured range in ambient pH from 7.599 to 8.409. The average and standard deviation of the measurement differences between the Idronaut and reference pH was 0.107 \u00b10.093 (N=62), with a total range of -0.030 to 0.387. At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9oC and 12.8. The measured pH range from our discrete reference samples was 8.024 \u2013 8.403 (N=107). The Idronaut 305 Plus only operated during the first four days of the deployment and generated 372 pH measurements at 15 minute intervals with a measured range in ambient pH of 7.798 to 8.135. The average and standard deviation of the measurement difference between the Idronaut and reference pH was -0.366 \u00b10.042 (N=18), with a total range of -0.425 to -0.247. At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2oC and 0.03. The measured ambient pH range from our discrete reference samples was 8.013 to 8.526 (N=98). The Idronaut 305 Plus operated continuously over the 29 days of the deployment and generated 2671 observations at 15 minute intervals with a measured range in ambient pH of 7.523 to 8.462. The average and standard deviation of the measurement difference between the Idronaut and reference pH was -0.184 \u00b1 0.081 (N=98) with a total range of -0.465 to -0.019. A comparison of the Idronaut 305 Plus pH measurements and dye reference pH across all sites indicated that the instrument tracked changes in ambient pH at all sites but that the response factor (slope) and overall offset from the dye reference pH measurements was different at each site. Lastly although this instrument experienced several power issues during this verification, it is worth emphasizing that the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. Continuous in situ monitoring or profiling technologies, such as the Idronaut 305 Plus, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Sea surface temperature - , - Subsurface temperature - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/746", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/746", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/746", "url": "https:\/\/hdl.handle.net\/11329\/746" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/363", "name": "Potentially harmful microalgae of the western Indian Ocean: a guide based on a preliminary survey.", "description": " - Danish International Development Assistence (DANIDA) - , - Published - , - Deposit recommended by Henrik Enevoldsen, 02 Oct 2017 - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/363", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/363", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/363", "url": "https:\/\/hdl.handle.net\/11329\/363" }, "author": [ { "@type": "Person", "name": "Hansen, Gert" }, { "@type": "Person", "name": "Turquet, Jean" }, { "@type": "Person", "name": "Quod, Jean Pascal" }, { "@type": "Person", "name": "Ten-Hage, Loic" }, { "@type": "Person", "name": "Lugomela, Charles" }, { "@type": "Person", "name": "Kyewalyanga, Margareth" }, { "@type": "Person", "name": "Hirbungs, Mira" }, { "@type": "Person", "name": "Wawiye, Peter" }, { "@type": "Person", "name": "Ogongo, Bernard" }, { "@type": "Person", "name": "Tunje, Shandrack" }, { "@type": "Person", "name": "Rakotaorinjanahary, Henri" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC" } ], "keywords": [ "HAB", "Harmful algal blooms", "Microalgae", "Organic matter", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1390", "name": "Towards seasonal Arctic shipping route predictions.", "description": " - The continuing decline in Arctic sea-ice will likely lead to increased human activity and opportunities for shipping in the region, suggesting that seasonal predictions of route openings will become ever more important. Here we present results from a set of 'perfect model' experiments to assess the predictability characteristics of the opening of Arctic sea routes. We find skilful predictions of the upcoming summer shipping season can be made from as early as January, although typically forecasts show lower skill before a May 'predictability barrier'. We demonstrate that in forecasts started from January, predictions of route opening date are twice as uncertain as predicting the closing date and that the Arctic shipping season is becoming longer due to climate change, with later closing dates mostly responsible. We find that predictive skill is state dependent with predictions for high or low ice years exhibiting greater skill than medium ice years. Forecasting the fastest open water route through the Arctic is accurate to within 200 km when predicted from July, a six-fold increase in accuracy compared to forecasts initialised from the previous November, which are typically no better than climatology. Finally we find that initialisation of accurate summer sea-ice thickness information is crucial to obtain skilful forecasts, further motivating investment into sea-ice thickness observations, climate models, and assimilation systems. - , - 14 - , - Sea Ice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1390", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1390", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1390", "url": "https:\/\/hdl.handle.net\/11329\/1390" }, "author": [ { "@type": "Person", "name": "Melia, Nathanael" }, { "@type": "Person", "name": "Haines, Keith" }, { "@type": "Person", "name": "Hawkins, Ed" }, { "@type": "Person", "name": "Day, Jonathan J." } ], "keywords": [ "Arctic shipping" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1565.4", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: April\/May 2018 to September, 2019. Version 1.4.", "description": " - The East Australian Current (EAC) is a complex and highly energetic western boundary system in the south-western Pacific off eastern Australia. It provides both the western boundary of the South Pacific gyre and the linking element between the Pacific and Indian Ocean gyres. The EAC deepwater moorings consisted of an array of full-depth current meter and property (CTD) moorings from the continental slope to the abyssal waters off Brisbane (27oS). This report details the quality control applied to the data collected from the EAC array (deployed from April\/May, 2018 to September, 2019). The quality controlled datasets are publicly available via the AODN Data Portal. The data should be used in conjunction with this report. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - Mature - , - Best Practice - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1565.4", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1565.4", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1565.4", "url": "https:\/\/hdl.handle.net\/11329\/1565.4" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1456", "name": "Recommended Best Practices for Regional Fisheries Management Organizations: Report of an independent panel to develop a model for improved governance by Regional Fisheries Management Organizations.", "description": " - One of the great innovations of the UN Fish Stocks Agreement of 1995 was to place regional fi sheries management organizations (RFMOs) at the heart of international fi sheries management. It was hoped that a multilateral set of rules which created a stronger legal basis for RFMOs to manage the stocks in their jurisdictions, even vis-\u00e0-vis non-member countries, would rescue the bulk of the world\u2019s fi sheries from the tragedy of the commons. However, the reality has been different: high seas fi sheries have continued to decline. The FAO\u2019s recently released State of World Fisheries and Aquaculture 2006 reveals a stark picture: more than two-thirds of high seas fi sh stocks are either depleted or at high risk of collapse, especially the straddling stocks that move between national maritime waters and the high seas. RFMO performance has not lived up to expectation. The FAO publication went on to say that \u2018strengthening RFMOs in order to conserve and manage fi sh stocks more effectively remains the major challenge facing international fi sheries governance\u2019. This is not just a scientifi c fi nding, but also a political one. As Michael Lodge notes in the introduction to this report, various UN bodies, including the General Assembly, have identifi ed RFMO governance as needing improvement. This has created the space in which a robust debate on how to reform RFMOs can take place. This expert panel is an effort by Chatham House\u2019s Energy, Environment and Development Programme (EEDP) to contribute a response to this challenge. For us, the opportunity to host this important panel was very welcome. Not only does this fi t well with our wide portfolio of projects on international governance of environment and development. But it also resonated well with the growing amount of work we have recently begun on fi sheries: a new series of stakeholder information meetings and a new website \u2013 www.illegal-fi shing.info. More broadly, the panel\u2019s approach of identifying best practices within RFMOs, combined with considering how external drivers from other regimes interface with RFMOs, is very much in line with how Chatham House approaches similar issues. By offering this report by leading experts, and the related technical papers, we hope that the debate on reforming RFMOs will move swiftly from discussion to action. I would like to register my thanks to a number of people. First, our Associate Fellow Michael Lodge has expertly anchored and steered this project. Without him this report would not have been completed as quickly or to such a high standard. Secondly, I am grateful to the panel members themselves for being such enthusiastic and generous participants in this process. Thirdly, thanks to Blaise Kuemlangan for his very helpful peer review. Margaret May and Gemma Green at Chatham House have been instrumental in pulling the many strands together in order to produce this report and the associated technical studies. Finally, the fi nancial support of the contributing governments, especially the government of the United Kingdom, is gratefully acknowledged. In this connection, I am also thankful to the OECD Roundtable on Sustainable Development for housing Michael Lodge during the course of this project. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1456", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1456", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1456", "url": "https:\/\/hdl.handle.net\/11329\/1456" }, "author": [ { "@type": "Person", "name": "Lodge, Michael W." }, { "@type": "Person", "name": "Anderson, David" }, { "@type": "Person", "name": "L\u00f8bach, Terje" }, { "@type": "Person", "name": "Munro, Gordon" }, { "@type": "Person", "name": "Sainsbury, Keith" }, { "@type": "Person", "name": "Willock, Anna" } ], "contributor": [ { "@type": "Organization", "name": "Chatham House" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1409", "name": "Protocolos de monitoreo de la biodiversidad marina en \u00e1reas naturales protegidas del Caribe mexicano.", "description": " - This work integrates and proposes protocols for monitoring marine biodiversity in marine protected areas of the Mexican Caribbean, as part of a program with an integrative approach that allows its implementation to be extended to the marine protected areas of the Greater Caribbean region. The application of the described methodologies makes it possible to estimate the resilience and evaluate the condition and health status of three priority ecosystems (coral reefs, seagrass beds and mangroves), and two groups of key species: sea turtles and chondrichthyans (sharks and rays). The five monitoring protocols include the theoretical foundation of 60 biological and physicochemical monitoring indicators based on knowledge of the structure, function and biological processes that occur in priority ecosystems in the region, as well as the ecology of the species. The calculation procedures and the relevance of each indicator to estimate the health of these ecosystems and species are described. The book, coordinated by CONABIO, integrates the scientific-technical knowledge of academics, researchers, decision makers, and members of civil society in Mexico, of which 21 are authors and 33 collaborators from 17 institutions, with experience in work for the conservation of marine protected areas of the Mexican Caribbean. It also describes how the information resulting from the monitoring is integrated and assimilated within the Marine-Coastal Information and Analysis System (SIMAR), keeping the information available to the scientific community and decision makers. This work brings together technical elements available to support the generation of better public policies for the conservation and sustainable use of our marine resources for the well-being of society. The protocols are part of international efforts to integrate and distribute marine biodiversity data that allow assessing its condition in a context of climate change and variability. - , - Published - , - Refereed - , - En esta obra se integran y proponen protocolos de monitoreo de la biodiversidad marina en \u00e1reas naturales protegidas del Caribe mexicano, como parte de un programa de estudio con enfoque integrador que permite extender su implementaci\u00f3n a las \u00e1reas marinas protegidas de la regi\u00f3n del Gran Caribe. La aplicaci\u00f3n de las metodolog\u00edas descritas permite estimar la resiliencia y evaluar la condici\u00f3n y el estado de salud de tres ecosistemas prioritarios (arrecifes coralinos, pastizales marinos y manglares), y dos grupos de especies claves: tortugas marinas y condrictios (tiburones y rayas). Los cinco protocolos de monitoreo incluyen la fundamentaci\u00f3n te\u00f3rica de 60 indicadores de monitoreo biol\u00f3gico y fisicoqu\u00edmico sobre la base del conocimiento de la estructura, la funci\u00f3n y los procesos biol\u00f3gicos que ocurren en los ecosistemas prioritarios de la regi\u00f3n, as\u00ed como de la ecolog\u00eda de las especies. Se abordan los procedimientos de c\u00e1lculo y la relevancia de cada indicador para estimar la salud de dichos ecosistemas y especies. El libro, coordinado por la CONABIO, integra el conocimiento cient\u00edfico-t\u00e9cnico de acad\u00e9micos, investigadores, tomadores de decisiones, y miembros de la sociedad civil de M\u00e9xico, de los cuales 21 son autores y 33 colaboradores pertenecientes a 17 instituciones, con experiencia en trabajos para la conservaci\u00f3n de las \u00e1reas marinas protegidas del Caribe mexicano. Se describe adem\u00e1s c\u00f3mo la informaci\u00f3n resultante de los monitoreos es integrada y asimilada dentro del Sistema de Informaci\u00f3n y An\u00e1lisis Marino Costero (SIMAR), manteniendo la informaci\u00f3n disponible para la comunidad cient\u00edfica y tomadores de decisiones. Esta obra re\u00fane elementos t\u00e9cnicos disponibles para apoyar la generaci\u00f3n de mejores pol\u00edticas p\u00fablicas de conservaci\u00f3n y aprovechamiento sustentable de nuestros recursos marinos para el bienestar de la sociedad. Los protocolos forman parte de los esfuerzos internacionales por integrar y distribuir datos de biodiversidad marina que permitan evaluar su condici\u00f3n en un contexto de cambio y variabilidad clim\u00e1tica. - , - Current - , - 14.2 - , - Marine turtles, birds, mammals abundance and distribution - , - Seagrass cover and composition - , - Mangrove cover and composition - , - Hard coral cover and composition - , - Fish abundance and distribution - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1409", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1409", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1409", "url": "https:\/\/hdl.handle.net\/11329\/1409" }, "author": [ { "@type": "Person", "name": "Perera-Valderrama, Susana" }, { "@type": "Person", "name": "Cerdeira-Estrada, Sergio" }, { "@type": "Person", "name": "Martell-Dubois, Ra\u00fal" }, { "@type": "Person", "name": "Rosique-de la Cruz, Laura O." }, { "@type": "Person", "name": "Caballero-Arag\u00f3n, Hansel" }, { "@type": "Person", "name": "Ressl, Rainer" }, { "@type": "Person", "name": "Santamar\u00eda-del \u00c1ngel, Eduardo" }, { "@type": "Person", "name": "\u00c1lvarez-Filip, Lorenzo" }, { "@type": "Person", "name": "Reyes-Bonilla, H\u00e9ctor" }, { "@type": "Person", "name": "Alva-Basurto, Jorge Christian" }, { "@type": "Person", "name": "Francisco-Ramos, Vanessa" }, { "@type": "Person", "name": "van Tussenbroek, Brigitta I." }, { "@type": "Person", "name": "Rodr\u00edguez-Z\u00fa\u00f1iga, Mar\u00eda Teresa" }, { "@type": "Person", "name": "Villeda-Ch\u00e1vez, Edgar" }, { "@type": "Person", "name": "Herrera-Silveira, Jorge" }, { "@type": "Person", "name": "Herrera-Pav\u00f3n, Roberto" }, { "@type": "Person", "name": "Zamora-Vilchis, Itzel" }, { "@type": "Person", "name": "Blanco-Parra, Mar\u00eda del Pilar" }, { "@type": "Person", "name": "Lara-Lizardi, Frida" }, { "@type": "Person", "name": "Hoyos-Padilla, Edgar Mauricio" }, { "@type": "Person", "name": "Ketchum, James" } ], "contributor": [ { "@type": "Organization", "name": "CONABIO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1339", "name": "Standard Operating Procedure for Solid Phase Adsorption Toxin Testing (SPATT) Assemblage and Extraction of HAB Toxins.", "description": " - SPATT has been developed and tested for a variety of resins (see review by Kudela, 2017). These Standard Operating Procedures (SOP) outline the use of the resin DIAON HP20 since it has been demonstrated to quantify microcystins, anatoxin-a, saxitoxin, domoic acid, and okadaic acid in fresh, brackish, and marine waters, all from the same SPATT sampling device (Lane et al. 2010; Miller et al. 2010, Kudela 2011, Gibble and Kudela, 2014, Howard et al., 2017, Kudela, 2017, Peacock et al., 2018). Cylindrospermopsin and nodularin have also been detected using SPATT with DIAON HP20 resin in California, however, the use of DIAON HP20 for these toxins has not been well characterized in the laboratory. This methodology is ready for wider adoption by the research, monitoring, and management communities interested in detecting and tracking the dynamics of freshwater and marine toxins. The SOP described herein for the assemblage and construction of SPATT bags can be used for deployment in freshwater, brackish and marine environments and the extraction process described below is for the analysis of both marine toxins and cyanotoxins. - , - Funding for this study was provided by National Oceanic and Atmospheric Administration Monitoring and Event Response for Harmful Algal Bloom (MERHAB) grant NA15NOS4780204 awarded to Meredith D.A. Howard, Raphael Kudela and David A. Caron and ECOHAB grants NA11NOS4780052 and subaward NA08OAR4320894 (DC) and NA11NOS4780030 (RMK). - , - Published - , - Refereed - , - Current - , - 14 - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1339", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1339", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1339", "url": "https:\/\/hdl.handle.net\/11329\/1339" }, "author": [ { "@type": "Person", "name": "Howard, Meredith D.A." }, { "@type": "Person", "name": "Kudela, Raphael" }, { "@type": "Person", "name": "Caron, David" }, { "@type": "Person", "name": "Smith, Jayme" }, { "@type": "Person", "name": "Hayashi, Kendra" } ], "contributor": [ { "@type": "Organization", "name": "University of California and University of Southern California" } ], "keywords": [ "Harmful Algal Blooms", "HAB", "Toxins", "Solid Phase Adsorption Toxin Tracking (SPATT)", "SPATT", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2201", "name": "An ecosystem-scale litter and microplastics monitoring plan under the Arctic Monitoring and Assessment Programme (AMAP).", "description": " - Lack of knowledge on levels and trends of litter and microplastics in the Arctic, is limiting our understanding of the sources, transport, fate, and effects is hampering global activities aimed at reducing litter and microplastics in the environment. To obtain a holistic view to managing litter and microplastics in the Arctic, we considered the current state of knowledge and methods for litter and microplastics monitoring in eleven environmental compartments representing the marine, freshwater, terrestrial, and atmospheric environments. Based on available harmonized methods, and existing data in the Arctic, we recommend prioritization of implementing litter and microplastics monitoring in the Arctic in four Priority 1 compartments-water, aquatic sediments, shorelines, and seabirds. One or several of these compartments should be monitored to provide benchmark data for litter and microplastics in the Arctic and, in the future, data on spatial and temporal trends. For the other environmental compartments, methods should be refined for future sources and surveillance monitoring, as well as monitoring of effects. Implementation of the monitoring activities should include community-based local components where possible. While organized as national and regional programs, monitoring of litter and microplastics in the Arctic should be coordinated, with a view to future pan-Arctic assessments. - , - Refereed - , - 14.1.1 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2201", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2201", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2201", "url": "https:\/\/hdl.handle.net\/11329\/2201" }, "author": [ { "@type": "Person", "name": "Provencher, Jennifer" }, { "@type": "Person", "name": "Kogel, Tanja" }, { "@type": "Person", "name": "Lusher, Amy" }, { "@type": "Person", "name": "Vorkamp, Katrin" }, { "@type": "Person", "name": "Gomiero, Alessio" }, { "@type": "Person", "name": "Peeken, Ilka" }, { "@type": "Person", "name": "Granberg, Maria" }, { "@type": "Person", "name": "Hammer, Sjurdur" }, { "@type": "Person", "name": "Baak, Julia" }, { "@type": "Person", "name": "Larsen, Jan Rene" }, { "@type": "Person", "name": "Farmen, Eivind" } ], "keywords": [ "Debris monitoring", "Microplastics", "Marine debris", "Marine litter", "Marine plastics", "AMAP", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2316", "name": "Best Practices and Procedures for Operationalizing Marine Protected Area Network Monitoring: Synthesis of Global Insights and Recommendations for British Columbia\u2019s Northern Shelf Bioregion.", "description": " - Marine protected area networks (MPANs)\u2014collections of marine protected areas designed to operate synergistically within a region\u2014offer opportunities for habitat protection at large spatial scales while still allowing for diverse human activities. As communities and countries around the world forge ahead towards the establishment of MPANs to meet both local conservation objectives and global commitments to conservation targets, existing and new MPANs stand to benefit from the lessons learned by early adopters that are now undergoing retrospective reviews and evaluations. Drawing from five global MPAN case studies, review of reports and peerreviewed literature, and expert interviews, this report presents global lessons and suggested best practices for operationalizing MPAN monitoring. Part one of this report synthesizes emerging lessons for MPAN monitoring across a number of key monitoring topics. A companion Supplementary Report provides detailed case studies along with an in-depth literature review that supports the synthesized global best practices for MPAN monitoring. Part two of this report places these global insights and best practices within the unique context of the Northern Shelf Bioregion (NSB) in British Columbia, Canada, where a network of MPAs is in the process of being implemented. The implementation of this network presents an important opportunity to apply the insights gained from existing best practices in MPAN monitoring from around the world to design an effective MPAN monitoring plan for the NSB. As such, this report offers a set of 31 recommendations for the development and implementation of a MPAN monitoring program for the NSB distributed across three core themes: 1) Early stages of implementation, 2) Data collection and management, 3) Analysis and Reporting, with additional detail on each recommendation in the body of this report. Many of these recommendations are also relevant and applicable to other temperate regions that are in the process of designing or evaluating monitoring programs for a given MPAN. Through careful consideration of the lessons and recommendations outlined in this report, partners working towards monitoring and management strategies in the Northern Shelf Bioregion and other emerging MPANs have the opportunity to set new precedents for integrated, collaborative, and rigorous social-ecological monitoring, evaluation, and management of these networks moving forward. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2316", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2316", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2316", "url": "https:\/\/hdl.handle.net\/11329\/2316" }, "author": [ { "@type": "Person", "name": "Burt, Jenn" }, { "@type": "Person", "name": "Andrachuk, Mark" }, { "@type": "Person", "name": "Tamburello, Natascia" }, { "@type": "Person", "name": "Epstein, Graham" } ], "contributor": [ { "@type": "Organization", "name": "ReConnect Consulting and ESSA Technologies" } ], "keywords": [ "Marine protected areas (MPA)", "Human activity", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1377", "name": "Calibration Specification for Seawater Nutrient Analyzers.", "description": " - This specification is applicable to the calibration of nutrient analyzers used in oceans. - , - Published - , - Refereed - , - Current - , - 14.A - , - Nutrients - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1377", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1377", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1377", "url": "https:\/\/hdl.handle.net\/11329\/1377" }, "author": [ { "@type": "Person", "name": "Wang, Cong" }, { "@type": "Person", "name": "Shi, Chaoying" }, { "@type": "Person", "name": "Wang, Aijun" } ], "contributor": [ { "@type": "Organization", "name": "State Administration for Market Regulation" } ], "keywords": [ "Calibration", "Nutrient sensors", "Parameter Discipline::Chemical oceanography::Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2581", "name": "FAIR ADCP data with OSADCP: a workflow to process ocean current data from vessel- mounted ADCPs.", "description": " - This paper presents the open-source Python software OSADCP developed for the processing of vessel-mounted Acoustic Doppler Current Profiler (VMADCP) data. At this stage, the toolbox is designed for processing VMADCP measurements from open-ocean applications of Teledyne RDI Ocean Surveyor ADCPs and the data acquisition software VMDAS. Based on the VMDAS ENX binary output format, the software contains implementations for cleaning and vector-averaging of single-ping velocity data, verification of the position data, and applying misalignment and amplitude corrections. The procedures of OSADCP are described in detail to encourage the scientific community to use it for their own purposes. The toolbox is an integral part of a workflow implemented on the German marine research vessels in the framework of the Underway Research Data project of the German Marine Research Alliance (DAM). It aims to ensure standardized data acquisition measures, reliable data transfer from the ADCP to shore both near-real-time and in delayed-mode, processing and quality control, and dissemination of the curated data product in the data repository PANGAEA. From PANGAEA, data sets are forwarded to the European marine data hubs Copernicus Marine Service and EMODnet. The workflow that forms the framework for OSADCP is described here as an example of scientific data management that follows the FAIR data guidelines - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - 2024-08-26 - , - Novel (no adoption outside originators) - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2581", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2581", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2581", "url": "https:\/\/hdl.handle.net\/11329\/2581" }, "author": [ { "@type": "Person", "name": "Kopte, Robert" }, { "@type": "Person", "name": "Becker, Marius" }, { "@type": "Person", "name": "Fischer, Tim" }, { "@type": "Person", "name": "Brandt, Peter" }, { "@type": "Person", "name": "Krahmann, Gerd" }, { "@type": "Person", "name": "Betz, Maximilian" }, { "@type": "Person", "name": "Faber, Claas" }, { "@type": "Person", "name": "Winter, Christian" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Wiemer, Gauvain" } ], "keywords": [ "Acoustic Doppler Current Profiler (ADCP)", "Underway data", "FAIR Data Principles", "Python", "Ocean currents", "Currents", "current profilers", "Data processing", "Data acquisition", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1124", "name": "Safety at sea for small scale fishers.", "description": " - This manual on safety at sea for small-scale fishers aims to contribute to a culture of safety awareness among fisherfolk, reduce the number of accidents and increase the chances of survival if accidents occur. The manual provides guidance on safety matters related to the work on a small-scale fishing vessel (e.g. fire safety, deck safety, lifesaving equipment, lighting and ventilation), personal safety and navigation safety. Checks and procedures to be performed before a fishing trip, as well as guidance for survival at sea, are also included in this manual. This manual was prepared by FAO in close collaboration with the Bay of Bengal Programme \u2013Intergovernmental Organisation (BOBP-IGO). The manual was made in support of the implementation of the Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication (SSF Guidelines). The production of this document was facilitated by a contribution from the Government of Norway to the FAO Umbrella Programme for the Promotion and Application of the SSF Guidelines. The manual is an updated version of a manual produced as part of the Tsunami rehabilitation programme in 2007, which was supported by the Government of Italy. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1124", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1124", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1124", "url": "https:\/\/hdl.handle.net\/11329\/1124" }, "contributor": [ { "@type": "Organization", "name": "Food and Agricultural Organization of the United Nations (FAO)" } ], "keywords": [ "FAO", "Parameter Discipline::Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2288", "name": "Relationship Between Carbon- and Oxygen-Based Primary Productivity in the Arctic Ocean, Svalbard Archipelago.", "description": " - Phytoplankton contribute half of the primary production (PP) in the biosphere and are the major source of energy for the Arctic Ocean ecosystem. While PP measurements are therefore fundamental to our understanding of marine biogeochemical cycling, the extent to which current methods provide a definitive estimate of this process remains uncertain given differences in their underlying approaches, and assumptions. This is especially the case in the Arctic Ocean, a region of the planet undergoing rapid evolution as a result of climate change, yet where PP measurements are sparse. In this study, we compared three common methods for estimating PP in the European Arctic Ocean: (1) production of O-18-labeled oxygen (GPP-O-18), (2) changes in dissolved oxygen (GPP-DO), and (3) incorporation rates of C-14-labeled carbon into particulate organic carbon (C-14-POC) and into total organic carbon (C-14-TOC, the sum of dissolved and particulate organic carbon). Results show that PP rates derived using oxygen methods showed good agreement across season and were strongly positively correlated. While also strongly correlated, higher scatter associated with seasonal changes was observed between C-14-POC and C-14-TOC. The C-14-TOC-derived rates were, on average, approximately 50% of the oxygen-based estimates. However, the relationship between these estimates changed seasonally. In May, during a spring bloom of Phaeocystis sp., C-14-TOC was 52% and 50% of GPP-DO, and GPP-O-18, respectively, while in August, during post-bloom conditions dominated by flagellates, C-14-TOC was 125% of GPP-DO, and C-14-TOC was 175% of GPP-O-18. Varying relationship between C and O rates may be the result of varying importance of respiration, where C-based rates estimate net primary production (NPP) and O-based rates estimate gross primary production (GPP). However, uncertainty remains in this comparison, given differing assumptions of the methods and the photosynthetic quotients. The median O:C ratio of 4.75 in May is within the range of that observed for other regions of the world's ocean. However, the median O:C ratio for August is <1, lower than in any other reported region. Our results suggest further research is needed to estimate O:C in Arctic waters, and at different times of the seasonal cycle. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Photosynthetically available radiation (PAR) radiometer, Biospherical Instruments Inc. QSL-101 - , - Finnigan DeltaPlusXP isotope ratio mass spectrometer - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2288", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2288", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2288", "url": "https:\/\/hdl.handle.net\/11329\/2288" }, "author": [ { "@type": "Person", "name": "Sanz-Martin, Marina" }, { "@type": "Person", "name": "Vernet, Maria" }, { "@type": "Person", "name": "Cape, Mattias R." }, { "@type": "Person", "name": "Mesa, Elena" }, { "@type": "Person", "name": "Delgado-Huertas, Antonio" }, { "@type": "Person", "name": "Reigstad, Marit" }, { "@type": "Person", "name": "Wassmann, Paul" }, { "@type": "Person", "name": "Duarte, Carlos M." } ], "keywords": [ "Oxygen method", "Carbon methodology", "Carbon, nitrogen and phosphorus", "radiometers", "mass spectrometers", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1083", "name": "OGC\u00ae WaterML 2.0: Part 1- Timeseries, Version 2.0.1.", "description": " - WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements, some of which are described later in this document. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1083", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1083", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1083", "url": "https:\/\/hdl.handle.net\/11329\/1083" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1049", "name": "QARTOD Project Plan: Accomplishments for 2012-2016 and Update for 2017-2021.", "description": " - The U.S. Integrated Ocean Observing System (IOOS) Quality Assurance\/Quality Control (QA\/QC) of Real-Time Oceanographic Data (QARTOD) Project Plan was established in early 2012 and has now reached its five-year anniversary. This report marks that five-year point by documenting QARTOD history and successes, and then outlining opportunities for future accomplishments. Each section describes a different facet of the QARTOD Project. Part 1 summarizes the history of QARTOD and provides context for part 2 of the report. Part 2 documents the accomplishments of the first five years of QARTOD under the auspices of U.S. IOOS and references the original QARTOD Project Plan (appendix A) developed in 2012. Part 3 outlines the goals for the next five years of the U.S. IOOS QARTOD Project. - , - U.S. IOOS - , - Published - , - Non Refereed - , - Current - , - 14 - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1049", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1049", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1049", "url": "https:\/\/hdl.handle.net\/11329\/1049" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System," } ], "keywords": [ "Real-time", "QARTOD", "Quality control", "IOOS", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2258", "name": "Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT).", "description": " - We derive the chlorophyll a concentration (Chla) for three main phytoplankton functional types (PFTs) \u2013 diatoms, coccolithophores and cyanobacteria \u2013 by combining satellite multispectral-based information, being of a high spatial and temporal resolution, with retrievals based on high resolution of PFT absorption properties derived from hyperspectral satellite measurements. The multispectral-based PFT Chla retrievals are based on a revised version of the empirical OC-PFT algorithm applied to the Ocean Color Climate Change Initiative (OC-CCI) total Chla product. The PhytoDOAS analytical algorithm is used with some modi\ufb01cations to derive PFT Chla from SCIAMACHY hyperspectral measurements. To combine synergistically these two PFT products (OC-PFT and PhytoDOAS), an optimal interpolation is performed for each PFT in every OC-PFT sub-pixel within a PhytoDOAS pixel, given its Chla and its a priori error statistics. The synergistic product (SynSenPFT) is presented for the period of August 2002 March 2012 and evaluated against PFT Chla data obtained from in situ marker pigment data and the NASA Ocean Biogeochemical Model simulations and satellite information on phytoplankton size. The most challenging aspects of the SynSenPFT algorithm implementation are discussed. Perspectives on SynSenPFT product improvements and prolongation of the time series over the next decades by adaptation to Sentinel multi- and hyperspectral instruments are highlighted. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Multispectral ocean color sensors - , - SCanning Imaging Absorption Spectrometer for Atmospheric CHartographY (SCIAMACHY) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2258", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2258", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2258", "url": "https:\/\/hdl.handle.net\/11329\/2258" }, "author": [ { "@type": "Person", "name": "Losa, Svetlana N." }, { "@type": "Person", "name": "Soppa, Mariana A." }, { "@type": "Person", "name": "Dinter, Tilman" }, { "@type": "Person", "name": "Wolanin, Aleksandra" }, { "@type": "Person", "name": "Brewin, Robert J. W." }, { "@type": "Person", "name": "Bricaud, Annick" }, { "@type": "Person", "name": "Oelker, Julia" }, { "@type": "Person", "name": "Peeken, Ilka" }, { "@type": "Person", "name": "Gentili, Bernard" }, { "@type": "Person", "name": "Rozanov, Vladimir" }, { "@type": "Person", "name": "Bracher, Astrid" } ], "keywords": [ "Multispectral-based PFT Chla retrievals", "Chlorophyll a concentration", "Phytoplankton functional types (PFTs)", "Diatoms", "Coccolithophores", "Cyanobacteria", "Phytoplankton", "Data analysis", "Data acquisition", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2030", "name": "HELCOM Manual on Co-operation in Response to Marine Pollution: within the framework of the Helsinki Convention.", "description": " - According to the Helsinki Convention the Contracting Parties shall agree bi- or multilaterally on those regions of the Baltic Sea, in which they act together. This is to maintain ability to respond to spillages of oil and other harmful substances as effectively as possible. The Manual should be used as guidance and help for bi- and multilateral co-operation and participation in joint actions. This Manual is intended for Response Commanders and Supreme On-Scene Commanders leading the multinational response operations at sea and on the shore. It is also meant for personnel participating in the multinational response operations and for authorities dealing with national contingency planning and strategic development. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2030", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2030", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2030", "url": "https:\/\/hdl.handle.net\/11329\/2030" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Oil pollution", "Harmful substances", "International Convention on Oil Pollution Preparedness, Response and Co-operation (OPRC Convention)", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1195", "name": "AMAP Assessment 2013: Arctic Ocean Acidification.", "description": " - This assessment report presents the results of the 2013 AMAP Assessment of Arctic Ocean Acidification (AOA). This is the first such assessment dealing with AOA from an Arctic-wide perspective, and complements several assessments that AMAP has delivered over the past ten years concerning the effects of climate change on Arctic ecosystems and people. The Arctic Monitoring and Assessment Programme (AMAP) is a group working under the Arctic Council. The Arctic Council Ministers have requested AMAP to: \u2022\u2022 produce integrated assessment reports on the status and trends of the conditions of the Arctic ecosystems; \u2022\u2022 identify possible causes for the changing conditions; \u2022\u2022 detect emerging problems, their possible causes, and the potential risk to Arctic ecosystems including indigenous peoples and other Arctic residents; and to \u2022\u2022 recommend actions required to reduce risks to Arctic ecosystems. This report provides the accessible scientific basis and validation for the statements and recommendations made in the Arctic Ocean Acidification Assessment Summary for Policy-makers1 that was delivered to Arctic Council Ministers at their meeting in Kiruna, Sweden in May 2011 and the related AMAP State of the Arctic Environment report Arctic Ocean Acidification 2013: An Overview2. It includes extensive background data and references to the scientific literature, and details the sources for figures reproduced in the overview report. Whereas the Summary for Policy-makers report contains recommendations that focus mainly on policy-relevant actions concerned with addressing the consequences of AOA, the conclusions and recommendations presented in this report also cover issues of a more scientific nature, such as proposals for filling gaps in knowledge, and recommendations relevant to future monitoring and research work. The AOA assessment was conducted between 2010 and 2013 by an international group of over 60 experts. Lead authors were selected based on an open nomination process coordinated by AMAP. A similar process was used to select international experts who independently reviewed this report. Information contained in this report is fully referenced and based first and foremost on peer-reviewed and published results of research and monitoring undertaken since 2006. It also incorporates some new (unpublished) information from monitoring and research conducted according to wellestablished and documented national and international standards and quality assurance\/ quality control protocols. Care has been taken to ensure that no critical probability statements are based on non-peer-reviewed materials. Access to reliable and up-to-date information is essential for the development of science-based decision-making regarding ongoing changes in the Arctic and their global implications. The AOA assessment summary reports1,2 and films have therefore been developed specifically for policy-makers, summarizing the main findings of the AOA assessment. The AOA lead authors have confirmed that both this report and its derivative products accurately and fully reflect their scientific assessment. The AOA reports and the films are freely available from the AMAP Secretariat and on the AMAP website: www.amap.no, and their use for educational purposes is encouraged. AMAP would like to express its appreciation to all experts who have contributed their time, efforts and data, in particular the lead authors who coordinated the production of this report. Thanks are also due to the reviewers who contributed to the AOA peer-review process and provided valuable comments that helped to ensure the quality of the report. A list of the main contributors is included at the start of each chapter. The list is not comprehensive. Specifically, it does not include the many national institutes, laboratories and organizations, and their staff, which have been involved in various countries in AOA-related monitoring and research. Apologies, and no lesser thanks are given to any individuals unintentionally omitted from the list. The support from the Arctic countries and non-Arctic countries implementing research and monitoring in the Arctic is vital to the success of AMAP. The AMAP work is essentially based on ongoing activities within these countries, and the countries that provide the necessary support for most of the experts involved in the preparation of the AMAP assessments. In particular, AMAP would like to acknowledge Norway for taking the leadcountry role in this assessment and thank Canada, Norway, Sweden, USA and the Nordic Council of Ministers for their financial support to the AOA work. The AMAP Working Group is pleased to present its assessment to the Arctic Council and the international science community. - , - Published - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1195", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1195", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1195", "url": "https:\/\/hdl.handle.net\/11329\/1195" }, "contributor": [ { "@type": "Organization", "name": "Arctic Monitoring and Assessment Programme (AMAP)" } ], "keywords": [ "Ocean acidification", "Carbon dioxide", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/772", "name": "Performance Verification Statement for the In-Situ Inc. Aqua TROLL 200 sonde.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the Aqua Troll 200 sonde conductivity sensor evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the Aqua Troll 200 sonde exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 - 32 oC (R2 >0.9999, SE = 0.1013 and slope = 0.991). The overall mean and variance of the absolute difference between instrument measured salinity and reference sample salinity for all treatments was -0.7140 \u00b10.9885 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were -0.09093 \u00b12.4790 mS\/cm and -0.0530 \u00b10.0331 oC, respectively. Across all five field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. Extensive and rapid biofouling at the FL and GA test sites severely impacted instrument performance within approximately one week. In addition, there were calibration issues at some test sites as the initial relative accuracy of the instrument during the first few days of deployment period was 0.33, 0.43, -0.033, -0.005 and -0.32 psu for FL, GA, HI, MI, and AK, respectively. Essentially all of the variability and measurement error was traced to the performance of the conductivity cell. The temperature sensor was quite accurate and stable throughout all of the deployments. The average offset of the measured temperature relative to our calibrated reference temperature logger was -0.032, -0.038, 0.021, -0.038, and 0.008 oC for FL, GA, HI, MI, and AK, respectively. When instrument response for the first 14 days of deployment was compared together for all five field sites, a fairly consistent and linear performance response was observed with R2 = 0.995, SE = 0.954 and slope = 0.997. Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. On several occasions results of these tests were compromised, most likely because of entrainment of air bubbles in the conductivity cell. The manufacturer had alerted us to this concern and we attempted to follow all handling recommendations, however, these results should be viewed as handling errors and not necessarily reflective of instrument performance. In general, there was no strong evidence for calibration drift during the period of deployment. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for all laboratory tests, all field deployment tests, and all tank exposure tests. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 3 and plus 11 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Sub surface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/772", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/772", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/772", "url": "https:\/\/hdl.handle.net\/11329\/772" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2592", "name": "Environmental Test Methods for Oceanographic Instruments -- Part 2: Low-Temperature Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures and relevant information pertaining to low-temperature tests for oceanographic instruments. This part is used to examine or determine the adaptability of using marine instruments under low-temperature environment conditions. It also used as a reference for low-temperature environment tests of marine instrument parts and components. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2592", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2592", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2592", "url": "https:\/\/hdl.handle.net\/11329\/2592" }, "author": [ { "@type": "Person", "name": "Zhang, Qiang" }, { "@type": "Person", "name": "Kong, Weixuan" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Environmental testing", "Oceanographic instruments", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1442", "name": "Novel methods for automated in situ observations of phytoplankton diversity and productivity: synthesis of exploration, intercomparisons and improvements. JERICO-NEXT WP3, Deliverable 3.2. Version 5.", "description": " - This is a summary of the activities and results of JERICO-NEXT Work Package 3 Innovations in Technology and Methodology,Task 3.1 Automated platform for the observation of phytoplankton diversity in relation to ecosystem services. The aim is to provide an advanced report on the last developments dedicated to the observation of the phytoplankton diversity by applying novel techniques on automated platforms. The work was carried out in close connection with task 4.1 Biodiversity of plankton, harmful algal blooms and eutrophication.The partners involved in these developments are CNRS, SYKE, SMHI, HZG, RWS, VLIZ CEFAS and Ifremer. Subcontractors in WP4, task 4.1 are WHOI, Scanfjord AB, Tomas Rutten b.v., CytoBuoy b.v. and UGent -PAE.The work was carried out mainly in the field with activities in the Baltic Sea, the Kattegat-Skagerrak, the Celtic seas-English Channel-North Sea Area, the Western Mediterranean, as well as in shared studies with other WP3.4 and WP4.4 in the Bay of Biscay and, out of Europe, in the Benguela Current. Instrument platforms included continuous recording (Ferrybox or assimilated) systems on research vessels, on ships of opportunity, instrumented oceanographic buoys\/fixed platforms and land-based systems. Common implementations were carried out in some observatories, allowing inter comparison of sensors and some techniques. In addition, work on developing and testing new algorithms have been carried out in offices and laboratories. Three international workshops have been successfully arranged, one in Wimereux, France (June 2016 \u2013organised by CNRS-LOG), one in Gothenburg, Sweden (September 2016, organised by SMHI) and one in Marseille (March 2019\u2013organised by CNRS MIO) connected to a EuroMarine workshop. Partners presented, discussed, were able to inter compare the sensors and techniques to be implemented in the field (Goetborg) and were trained to different automated analytical procedures and tools (for automated flow cytometry, Marseille).The work was divided into three sections but there is substantial overlap and cooperation. One example is that reference samples analysed in the microscope were used for completing and\/or evaluating the quality of some of the automated methods.Imaging in flow and in situimaging of plankton (led by SMHI) The work included evaluating instruments and developing algorithms for automated identification of phytoplankton automated image acquisition (in flow or in situ). Three different commercial instruments and one instrument prototype were used. On the Swedish west coast (Skagerrakcoast) a study of harmful algae and other phytoplankton was carried out near a mussel farm. The Imaging Flow Cytobot was deployed in situ and collected samples at six different depths for approximately two months. In the English Channel the old generation of FlowCAM and a prototype system, the FastCam, were used to analyse samples on research vessels or in the laboratory. A colour version of FlowCAM was used both during a cruise in the Baltic Sea-Kattegat-Skattegat (July 2017) as well as in coastal monitoring in the Baltic and the Channel). In addition, the CytoSense and CytoSub were used to collect images in flow. The in situ video system UVP5 was implemented during a cruise in the Baltic Sea-Skagerrak-Kattegatarea, together with a new generation of FlowCAM of faster acquisition and providing colour images and CytoSense. A major task was to develop and evaluate plankton identification algorithms. This included the use of a subset of images of organisms for training the software tools. Existing software were improved (as the PhytoZooImage) and an image data system\/platform named EcoTaxa was described and is currentlyavailable for storing and cooperative analysis\/discrimination of plankton images.Single-cell optical characterization (led by CEFAS) Automated flow cytometers (FCM, CytoSense\/CytoSub, Cytobuoy b.v.) were implemented on a Ferry line, on research vessels and a fixed platform to investigate functional groups of phytoplankton. In the Western Mediterranean the main targets were the picoplankton and the nanoplankton while in the other areas pico-, nano-and microplankton were in focus. Several cruises were carried out in the Channel and North Sea to follow combined diatoms and Phaeocystis bloom development. A cruise covering the Baltic Sea and Skagerrak-Kattegat area had a main focus on cyanobacteria and dinoflagellates. Moreover, inter comparisons of machines and on clustering analysis methods were performed. Finally, a combination of FCM and multi-spectral fluorometer continuous recording wascoupled with physical and hydrological continuous measurements in the southern Bay of Biscay. JERICO-NEXT Reference:JERICO-NEXT-WP3-D3.2-120819-V5 Page 5\/88 Bio-optical Instrumentation (led by SYKE) Novel multi-wavelength fluorometers for detecting phycoerythrin indicative e.g. of certain cyanobacteria and of cryptophytes were evaluated in the Baltic Sea. Multi wavelength fluorometers were also used in the Benguela current, during the Gothenburg workshop, as well as on a variety of field cruises from the southern Bay of Biscay to the E. Channel and North Sea, in order to discriminate amongst main phytoplankton pigmentary groups. The manufacturers\u2019 algorithms were found to be partly inaccurate for detecting algal groups based on photosynthetic pigment composition. New dedicated fingerprints were used in field work to improve discrimination amongst phytoplankton groups. A principle component analyses approach was also evaluated. Single wavelength fluorometers were evaluated in several sea areas. Sun induced photoquenching had a strong effect on fluorescence yield. In the North Sea and the Norwegian Sea multi spectral absorption was used to detect chlorophyll and phytoplankton groups based on pigment content.Variable fluorometers were implemented on both samples, continuous recording and profiles in the E. Channel and North Sea, as well as in the Baltic and Skagerrak-Kattegat, for studying photosynthetic parameters and potential primary productivity. Recommendations are made on the strategy and type of measurements to carry out. Recent work (since mid 2017) in task 3.1. Some field work was continued, especially at the Ut\u00f6 observatory in the Baltic Sea. The new data collected was processed together with old data and used for improving the discrimination of phytoplankton taxa or functional groups by inter-comparison of techniques and continued algorithm development which are described in the present deliverable 3.2.Scientific publication of results is in progress. A special issue in the open access journal Diversity (MPI) is being discussed. Some results and strategy were presented during a symposium in Hannover, in October 2017 and during the FerryBox workshop on board the ship Colour Fantasy later in October 2017and in FerryBox meetings in 2018 and 2019. Results were also presented during the third JERICO-NEXT workshopon automated plankton observationin Marseille in March 2018 some analytical tools for flow cytometry were presented and further directions as well as connections with modelling and remote sensing were discussed during the EuroMarine meeting that followed. A special session was held during the International Conference on Harmful Algae (ICHA) in Nantes in October 2018, and more presentations were carried out in 2019 meetings (IMBER, OceanObs, etc.). Main conclusions: 1.The methods used are reliable for automated observation of phytoplankton biodiversity (functional groups, size classes, taxa when possible) and biomass,complementing manual methods for sampling and microscope analyses. 2.Operating the equipment and interpreting the results still need a lot of knowledge and time. Even though some operational procedures can be established, the standardization of analytical and data processing as well as data management need more development. The degree of automation varies depending on the method considered. 3. Imaging in flow and in situ imaging provide means for identifying and counting phytoplankton at the genus or species level. Also, biomass based on cell volume of individual cells can be estimated. Development of classifiers for automated identification of organisms is time consuming and requires specific skills on signal analysis and on taxonomy. 4. Flow cytometry has proven to be a useful tool for counting phytoplankton and for describing the phytoplankton community as size-based classes and functional groups. There was an agreement to report the phytoplankton count in four groups for inter comparison purposes: Synechococcus(pico-cyanobacteria), pico-eukaryotic organisms, nanoplankton and microplankton. 5. Single and multi-wavelength fluorometry makes it possible to estimate phytoplankton biomass (at a chlorophyll-a basis) and to differentiate phytoplankton based on photosynthetic pigments. Sunlight induced photo-quenching is a problem for estimating chlorophyllafrom fluorescence. For instruments mounted buoys or vessels, night time data can be used to minimize the problem. 6. Multi-wavelength absorption is a useful tool for estimating chlorophyll a and is also useful for discriminating between phytoplankton groups based on pigment content. 7. Variable(active) fluorescence is available for addressing phytoplankton physiology, photosynthetic parameters and we could estimate primary productivity on both continuous sub-surface recording and water column profiles, mediating careful coupling with other optical and also biogeochemical analysis. - , - Published - , - Contributors: Hedy Aardema, Michael Brosnahan, Reinhoud de Blok, Pascal Claquin, G\u00e9rald Gr\u00e9gori, Florent Colas, Elisabeth Debusschere, Klaas Deneudt,Jacco Kromkamp, Soumaya Lahbib, Alain Lefebvre,Arnaud Louchart, Klas M\u00f6ller, Emilie Poisson-Caillault, Thomas Rutten, Machteld Rijkeboer, Suvi Ryt\u00f6vuori,Lars Stemmann, Melilotus Thyssen, Lennert Tyberghein, Jochen Wollschl\u00e4ger and Pasi Yl\u00f6stalo. - , - Current - , - 14 - , - Phytoplankton biomass and diversity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1442", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1442", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1442", "url": "https:\/\/hdl.handle.net\/11329\/1442" }, "author": [ { "@type": "Person", "name": "Artigas, Felipe" }, { "@type": "Person", "name": "Cr\u00e9ach, V\u00e9ronique" }, { "@type": "Person", "name": "Houliez, Emilie" }, { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Lizon, Fabrice" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" }, { "@type": "Person", "name": "Wacque, Guillaume" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Phytoplankton", "Instrument Type Vocabulary::flow cytometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2000", "name": "Guidelines for the determination of polycyclic aromatic hydrocarbons (PAH) in sediment.", "description": " - This Technical note provides advice on the analysis of polycyclic aromatic hydrocarbons (PAH) in total marine sediments, sieved fractions, and suspended particulate matter. The analysis of PAH compounds in sediments basically includes extraction with organic solvents, clean-up, and separation through high performance liquid chromatography (HPLC) with ultraviolet (UV) or fluorescence detection or gas chromatographic separation (GC) with flame ionization (FID) or mass spectrometric (MS) detection (Kassim & Barcelo, 2009, 1989; Wise et al., 1995). All steps of the procedure are susceptible to insufficient recovery and contamination. Quality control measures are recommended in order to regularly monitor the performance of the method. These guidelines are intended to encourage and assist analytical chemists to critically review their methods and to improve their procedures and quality assurance measures, if necessary. These guidelines are not intended as complete laboratory manual. If necessary, guidance should be sought from specialized laboratories. Laboratories should demonstrate validity of each methodological step. Moreover, use of an alternative method, carried out concurrently to the routine procedure, is recommended for validation. Contracting parties should follow the HELCOM monitoring guideline but minor deviations from this are acceptable if the method achieves comparable results. Validation of the adopted method needs to be performed on the relevant matrix and concentration range e.g. by taking part in intercomparison studies or proficiency testing schemes. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2000", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2000", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2000", "url": "https:\/\/hdl.handle.net\/11329\/2000" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Hydrocarbons" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1023", "name": "GO-SHIP Repeat Hydrography Nutrient Manual: The precise and accurate determination of dissolved inorganic nutrients in seawater, using Continuous Flow Analysis methods.", "description": " - This GO-SHIP manual is a rewrite of the original version by Hydes et al. (2010), and reviews basic sample collection and storage, aspects of CFA using an Auto-Analyzer, and specific nutrient methods in use by many laboratories doing repeat hydrography. The document also covers laboratory best practices including quality control and quality assurance (QC\/QA) procedures to obtain the best results, and suggests protocols for the use of reference materials (RM) and certified reference materials (CRMs). - , - Published - , - This is a rewrite of : Hydes, D. J.; Aoyama, M.; Aminot, A.; Bakker, K.; Becker,S.; Coverly, S.; Daniel, A.; Dickson, A. G.; Grosso, O.; Kerouel, R.; van Ooijen, J.; Sato, K.; Tanhua, T.; Woodward, E. M. S. and Zhang, J. Z. (2010) Determination of Dissolved Nutrients (N, P, SI) in Seawater With High Precision and Inter-Comparability Using Gas-Segmented Continuous Flow Analysers. In: The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and Guidelines. Version 1. (eds Hood, E.M., C.L. Sabine, and B.M. Sloyan). IOCCP Report Number 14, ICPO Publication Series Number 134. Available online at: http:\/\/www.go-ship.org\/HydroMan.html. - , - Refereed - , - Current - , - 14.A - , - Nutrients - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1023", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1023", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1023", "url": "https:\/\/hdl.handle.net\/11329\/1023" }, "author": [ { "@type": "Person", "name": "Becker, Susan" }, { "@type": "Person", "name": "Aoyama, Michio" }, { "@type": "Person", "name": "Woodward, E. Malcolm S." }, { "@type": "Person", "name": "Bakker, Karel" }, { "@type": "Person", "name": "Coverly, Stephen" }, { "@type": "Person", "name": "Mahaffey, Claire" }, { "@type": "Person", "name": "Tanhua, Toste" } ], "contributor": [ { "@type": "Organization", "name": "GO-SHIP Program and SCOR" } ], "keywords": [ "Continuous Flow Analysis methods", "GO-SHIP", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers", "Instrument Type Vocabulary::continuous water samplers", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1760", "name": "Technical note: Novel triple O2 sensor aquatic eddy covariance instrument with improved time shift correction reveals central role of microphytobenthos for carbon cycling in coral reef sands.", "description": " - The aquatic eddy covariance technique stands out as a powerful method for benthic O2 flux measurements in shelf environments because it integrates effects of naturally varying drivers of the flux such as current flow and light. In conventional eddy covariance instruments, the time shift caused by spatial separation of the measuring locations of flow and O2 concentration can produce substantial flux errors that are difficult to correct. We here introduce a triple O2 sensor eddy covariance instrument (3OEC) that by instrument design eliminates these errors. This is achieved by positioning three O2 sensors around the flow measuring volume, which allows the O2 concentration to be calculated at the point of the current flow measurements. The new instrument was tested in an energetic coastal environment with highly permeable coral reef sands colonised by microphytobenthos. Parallel deployments of the 3OEC and a conventional eddy covariance system (2OEC) demonstrate that the new instrument produces more consistent fluxes with lower error margin. 3OEC fluxes in general were lower than 2OEC fluxes, and the nighttime fluxes recorded by the two instruments were statistically different. We attribute this to the elimination of uncertainties associated with the time shift correction. The deployments at \u223c10m water depth revealed high dayand nighttime O2 fluxes despite the relatively low organic content of the coarse sediment and overlying water. High light utilisation efficiency of the microphytobenthos and bottom currents increasing pore water exchange facilitated the high benthic production and coupled respiration. 3OEC measurements after sunset documented a gradual transfer of negative flux signals from the small turbulence generated at the sediment\u2013water interface to the larger wave-dominated eddies of the overlying water column that still carried a positive flux signal, suggesting concurrent fluxes in opposite directions depending on eddy size and a memory effect of large eddies. The results demonstrate that the 3OEC can improve the precision of benthic flux measurements, including measurements in environments considered challenging for the eddy covariance technique, and thereby produce novel insights into the mechanisms that control flux. We consider the fluxes produced by this instrument for the permeable reef sands the most realistic achievable with present-day technology. - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - O2 sensor eddy covariance instrument - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1760", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1760", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1760", "url": "https:\/\/hdl.handle.net\/11329\/1760" }, "author": [ { "@type": "Person", "name": "Merikhi, Alireza" }, { "@type": "Person", "name": "Berg, Peter" }, { "@type": "Person", "name": "Huettel, Markus Huettel" } ], "keywords": [ "Oxygen flux", "Dissolved gases", "dissolved gas sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2404", "name": "Validation of Himawari-8 Sea Surface Temperature Retrievals Using Infrared SST Autonomous Radiometer Measurements", "description": " - This study has evaluated five years (2016\u20132020) of Himawari-8 (H8) Sea Surface Temperature (SST) Level 2 Pre-processed (L2P) data produced by the Australian Bureau of Meteorology (Bureau) against shipborne radiometer SST measurements obtained from the Infrared SST Autonomous Radiometer (ISAR) onboard research vessel RV Investigator. Before being used, all data sets employed in this study have gone through careful quality control, and only the most trustworthy measurements are retained. With a large matchup database (31,871 collocations in total, including 16,418 during daytime and 15,453 during night-time), it is found that the Bureau H8 SST product is of good quality, with a mean bias \u00b1 standard deviation (SD) of \u22120.12 \u00b0C \u00b1 0.47 \u00b0C for the daytime and \u22120.04 \u00b0C \u00b1 0.37 \u00b0C for the night-time. The performance of the H8 data under different environmental conditions, determined by the observations obtained concurrently from RV Investigator, is examined. Daytime and night-time satellite data behave slightly differently. During the daytime, a cold bias can be seen under almost all environmental conditions, including for most values of wind speed, SST, and relative humidity. On the other hand, the performance of the night-time H8 SST product is consistently more stable under most meteorological conditions with the mean bias usually close to zero. - , - Refereed - , - 14.a - , - Sea surface temperature - , - Mature - , - International - , - N\/A - , - Sea Surface Temperature - , - N\/A - , - SST Autonomous Radiometer (ISAR) - , - SeaBird SBE38 temperature sensor - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2404", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2404", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2404", "url": "https:\/\/hdl.handle.net\/11329\/2404" }, "author": [ { "@type": "Person", "name": "Zhang, Haifeng" }, { "@type": "Person", "name": "Beggs, Helen" }, { "@type": "Person", "name": "Griffin, Christopher" }, { "@type": "Person", "name": "Devidas Govekar, Pallavi" } ], "keywords": [ "Other physical oceanographic measurements", "water temperature sensor", "radiometers", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1446", "name": "Updated methods for global locally interpolated estimation of alkalinity, pH, and nitrate.", "description": " - We have taken advantage of the release of version 2 of the Global Data Analysis Project data product (Olsen et al. 2016) to refine the locally interpolated alkalinity regression (LIAR) code for global estimation of total titration alkalinity of seawater (AT), and to extend the method to also produce estimates of nitrate (N) and in situ pH (total scale). The updated MATLAB software and methods are distributed as Supporting Information for this article and referred to as LIAR version 2 (LIARv2), locally interpolated nitrate regression (LINR), and locally interpolated pH regression (LIPHR). Collectively they are referred to as locally interpolated regressions (LIRs). Relative to LIARv1, LIARv2 has an 18% lower average AT estimate root mean squared error (RMSE), improved uncertainty estimates, and fewer regions in which the method has little or no available training data. LIARv2, LINR, and LIPHR produce estimates globally with skill that is comparable to or better than regional alternatives used in their respective regions. LIPHR pH estimates have an optional adjustment to account for ongoing ocean acidification. We have used the improved uncertainty estimates to develop LIR functionality that selects the lowest-uncertainty estimate from among possible estimates. Current and future versions of LIR software will be available on GitHub at https:\/\/github.com\/BRCScienceProducts\/ LIRs. - , - Refereed - , - 14 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1446", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1446", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1446", "url": "https:\/\/hdl.handle.net\/11329\/1446" }, "author": [ { "@type": "Person", "name": "Carter, B. R." }, { "@type": "Person", "name": "Feely, R. A." }, { "@type": "Person", "name": "Williams, N. L." }, { "@type": "Person", "name": "Dickson, A. G." }, { "@type": "Person", "name": "Fong, M. B." }, { "@type": "Person", "name": "Takeshita, Y." } ], "keywords": [ "Nitrate", "pH analyzer", "Alkalinity", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/623", "name": "SoundToxins manual: Puget Sound Harmful Algal Bloom Monitoring Program. [Revised December 2015].", "description": " - Shellfish are critical to the culture, economy and ecology of Puget Sound. They shape habitats, provide food for humans and other species, and perform water-filtering functions important to all organisms that live in or near the Sound. Native American tribes have long incorporated shellfish into their daily lives through ceremony and art as well as food. Today Washington State is a national leader in farmed bivalve shellfish, an industry that provides more than 3,200 family-wage jobs and contributes an estimated $270 million to the economy (Washington Shellfish Initiative 2011). The majority of shellfish-farming and recreational harvest opportunities are in rural communities. Recreation and tourism associated with shellfish harvesting on state-owned beaches annually accounts for more than $1 million in license sales and an estimated economic value of $5.4 million (Washington Shellfish Initiative 2011). Ensuring safe and wholesome shellfish for consumption relies on water free of terrestrial and legacy pollutants and toxins from harmful algal blooms (HABs). A phytoplank - ton bloom can be harmful in several ways. Some blooms can produce anoxic (no oxygen) or hypoxic (low-oxygen) conditions in the water column. This occurs when one or two species dominate a bloom and block the sunlight from other organisms in the lower water column. Other plank - ton begin to die and decompose. The process of decom - position consumes oxygen. Fish die for lack of oxygen and decomposition continues. Eventually, the massive bloom dies as well, removing any additional oxygen from the water column. This entire process can lead to a fish and\/or shellfish die-off, resulting in negative economic impacts. Harmful algal bloom events lead to closures of shellfish beds, lost fisheries production, and reductions in tourism and associated service industries. Fisheries-related busi- nesses close, insurance and unemployment rates rise, and public resources are redirected to advisories and monitoring programs. Human health can also suffer during harmful algal blooms. About 50 known species of phytoplankton produce toxins. As toxins move through the food web, they bioaccumulate in the tissues of large fish and marine mammals. Humans can contract illnesses from eating contaminated shellfish and fish, and medical treatment can be expensive. Several types of algal toxin present in Puget Sound require vigilant monitoring to ensure safe shellfish consumption. Hydrophilic (water-loving) toxins such as the domoic acid produced by Pseudo-nitzschia spp. and paralytic shellfish toxins from Alexandrium catenella are currently monitored and regulated by the Washington State Department of Health (WDOH). A recent explosion of various lipophilic (fat-loving) algal toxins, including dinophysistoxins from Dinophysis spp., have caused various human illnesses and prompted a complete ban on the importation of Washington shellfish into the European Union. Of greatest immediate concern is the presence of algal toxins associated with diarrhetic shellfish poisoning (DSP), which triggered a beach closure and a recall of commercial product from Sequim Bay in August 2011. - , - Published - , - Includes: Horner, R. A brief introduction to marine phytoplankton. - , - Refereed - , - Current - , - 14.2 - , - Phytoplankton biomass and diversity - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/623", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/623", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/623", "url": "https:\/\/hdl.handle.net\/11329\/623" }, "author": [ { "@type": "Person", "name": "Trainer, Vera" }, { "@type": "Person", "name": "King, Teri" }, { "@type": "Person", "name": "Bill, Brian" }, { "@type": "Person", "name": "Runyan, Jennifer" } ], "contributor": [ { "@type": "Organization", "name": "NOAA\/NMFS\/NWFSC Marine Biotoxins Program for Washington Sea Grant" } ], "keywords": [ "Sampling protocols", "HAB", "Harmful algal bloom", "Phytoplankton", "Parameter Discipline::Biological oceanography::Phytoplankton", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2282", "name": "Parametrization of Eddy Mass Transport in the Arctic Seas Based on the Sensitivity Analysis of Large-Scale Flows.", "description": " - The characteristics of eddy mass transport are estimated depending on the values of the parameters of a large-scale flow that forms under the conditions of the shelf seas in the Arctic. For this, the results of numerical simulation of the Kara Sea with a horizontal resolution permitting the development of mesoscale eddies are used. The multiple realizations of eddy mass flux resulting from a numerical experiment are considered as a statistical sample and are analyzed using methods of sensitivity study and clustering of sample elements. Functional dependencies are obtained that are closest to the simulated distributions of quantities. These expressions make it possible, within the framework of large-scale models, to evaluate the characteristics of the cross-isobathic eddy mass transport in the diffusion approximation with a counter-gradient flux. Numerical experiments using the SibCIOM model showed that areas along the Fram branch of the Atlantic waters trajectory in the Arctic as well as the shelf of the East Siberian and Laptev seas with adjacent deep water areas are most sensitive to the proposed parametrization of eddy exchanges. Accounting for counter-gradient eddy fluxes turned out to be less important. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2282", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2282", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2282", "url": "https:\/\/hdl.handle.net\/11329\/2282" }, "author": [ { "@type": "Person", "name": "Platov, Gennady" }, { "@type": "Person", "name": "Iakshina, Dina" }, { "@type": "Person", "name": "Golubeva, Elena" } ], "keywords": [ "Subgrid-scale processes", "Parametrization", "Eddy mass transport", "Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/274", "name": "Survey of Best Practices in Digital Image Collection Management, 2016 Edition.", "description": " - The study presents data and commentary from 55 institutions that manage digital image collections, including museums, historical societies, botanic gardens, churches colleges and universities, government agencies and others. The study looks at a broad range of issues in cataloging, findability, marketing, revenue generation, cataloging, access, preservation, image collection building and many other issues of interest to administrators of large digital image collections. Just a few of the report\u2019s many findings are that: \u00b7 Only 9.1% of the institutions sampled acquire images from imaging vendors; mostly this was done by college and university collections in the United States. \u00b7 10% of the institutions sampled had annual revenues from image sales and licensing that exceeded $50,000. \u00b7 No organization in the sample chose outsourced vendor scanning as their primary means of building their collections though 14.55% chose it second and 12.73% ranked it third. \u00b7 43.64% of those sampled use in house developed authority files. Government agencies and \u201cother non-profits\u201d were the most likely to use in house developed authority files while colleges and universities were the least likely. \u00b7 Google Forms was used occasionally by only 3.64% of survey participants for crowdsourcing though 14.55% of the sample felt that they might use it for this purpose in the future. \u00b7 More than 64% of organizations with fewer than 70 employees provided access to their digital image collections through Facebook. \u00b7 We asked the sample to indicate which users that they permit to retrieve image files, first asking about all users. 32.73% allow all users to retrieve image files. This was most common among colleges and universities, of which 53.85% allowed it. \u00b7 14.55% were using replication in their preservation policies, including 29.41% of non-US organizations in the sample. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/274", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/274", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/274", "url": "https:\/\/hdl.handle.net\/11329\/274" }, "keywords": [ "Digital images", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data processing", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1225", "name": "SDG Indicator 14.4.1 - Fish stocks sustainability. [TRAINING COURSE]", "description": " - This course focuses on SDG Indicator 14.4.1 - Fish stocks sustainability: \u201cProportion of fish stocks within biologically sustainable levels\u201d. It introduces basic fisheries concepts and definitions, illustrates some technical aspects of classical and data-limited stock assessment and provides detailed guidance on process and tools for the analysis and reporting of the Indicator. Duration: 3.5 hours ; Publication Date: November 2019 System Requirements The online version of this course runs on the latest versions of Chrome and Safari. In order to access this course on Internet Explorer or Firefox, you must install and enable Adobe Flash player. The downloadable version only runs on Windows PC\u2019s and no additional software is needed. Audience The target audience of this course includes: National fisheries administration officials Policy-makers or advisors Members of the fishing community\/fishing organizations Fisheries scientists, data analysts, and statisticians Course structure The course consists of 5 lessons, ranging from approximately 30 to 60 minutes duration each: Lesson 1 Introduction to SDG Indicator 14.4.1 Lesson 2 Concepts and process behind the estimations of SDG Indicator 14.4.1 Lesson 3 Estimation of SDG Indicator 14.4.1 from classical stock assessment outputs Lesson 4 Estimation of SDG Indicator 14.4.1 from data-limited methods (coming soon) Lesson 5 Guidelines for national reporting of SDG Indicator 14.4.1 - , - Published - , - Refereed - , - Current - , - 14.4.1 - , - Fish abundance and distribution - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1225", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1225", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1225", "url": "https:\/\/hdl.handle.net\/11329\/1225" }, "contributor": [ { "@type": "Organization", "name": "FAO e-Learning Centre" } ], "keywords": [ "Sustainable Development Goals (SDG)", "Fish stocks", "Training course", "Parameter Discipline::Fisheries and aquaculture::Fish", "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1387", "name": "An inventory of Arctic Ocean data in the World Ocean Database.", "description": " - The World Ocean Database (WOD) contains over 1.3 million oceanographic casts (where cast refers to an oceanographic profile or set of profiles collected concurrently at more than one depth between the ocean surface and ocean bottom) collected in the Arctic Ocean basin and its surrounding marginal seas. The data, collected from 1849 to the present, come from many submitters and countries, and were collected using a variety of instruments and platforms. These data, along with the derived products World Ocean Atlas (WOA) and the Arctic Regional Climatologies, are exceptionally useful \u2013 the data are presented in a standardized, easy to use format and include metadata and quality control information. Collecting data in the Arctic Ocean is challenging, and coverage in space and time ranges from excellent to nearly non-existent. WOD continues to compile a comprehensive collection of Arctic Ocean profile data, ideal for oceanographic, environmental and climatic analyses (https:\/\/doi.org\/10.7289\/V54Q7S16). - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1387", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1387", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1387", "url": "https:\/\/hdl.handle.net\/11329\/1387" }, "author": [ { "@type": "Person", "name": "Zweng, Melissa M" }, { "@type": "Person", "name": "Boyer, Tim P" }, { "@type": "Person", "name": "Baranova, Olga K" }, { "@type": "Person", "name": "Reagan, James R" }, { "@type": "Person", "name": "Seidov, Dan" }, { "@type": "Person", "name": "Smolyar, Igor V." } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1974", "name": "The EMBRC Guide to ABS Compliance: Recommendations to Marine Biological Resources, Collections\u2019 and Users\u2019 Institutions. D5.1.", "description": " - The EMBRC handbook presents a set of guidelines and recommendations to collections and users of genetic resources to familiarize and adopt best practices to comply with the ABS framework. Collections and biobanks holding resources from different origins will find in this handbook a useful set of practices to exercise due diligence and manage the ABS requirements. Scientists will be aware of any ABS requirements before undertaking any fieldwork or scientific cruise collecting biomaterial. The handbook will also facilitate the collected material to be prepared for conservation, for any further use and transfer. Implementing the recommended best practices will: \u2022 Harmonise standards\/procedures within the community; \u2022 Facilitate compliance of its users to applicable legislation; \u2022 Reduce administrative burden and create a safety-net process for researchers (for obtaining funding and for publications); \u2022 Increase transparency on how genetic resources and the associated traditional knowledge are utilised; \u2022 Facilitate fair and equitable sharing of benefits arising from utilisation of genetic resources; \u2022 Promote non-monetary benefit-sharing for non-commercial research; \u2022 Reduce the risk of unlawful utilisation of genetic resources (and minimize the risk of legal consequences and in terms of international cooperation for researchers and their organisation); \u2022 Increase legal certainty; and \u2022 Attract users of bioresources to the EMBRC biobanks. Summary of recommendations Institutions should identify which activities they carry out will require managing and define the institutions responsibility for ABS. In some instances, current policies and procedures will be adequate and if not, modifications are required following the technical annexes. - , - European Union, INTERREG - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1974", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1974", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1974", "url": "https:\/\/hdl.handle.net\/11329\/1974" }, "author": [ { "@type": "Person", "name": "Kervella, Anne-Emmanuelle" }, { "@type": "Person", "name": "Tillin, Heidi" } ], "contributor": [ { "@type": "Organization", "name": "European Marine Biological Resource Centre" } ], "keywords": [ "Genetics", "Other biological measurements", "Data archival\/stewardship\/curation", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2470", "name": "Guideline for underwater noise: Installation of impact or vibratory driven piles.", "description": " - >>>>Note: updated as: L\u00fctzen, R.S., Keller, S., Tougaard, J. (2024). Revised Danish Guidelines for Underwater Noise from Installation of Impact or Vibratory Driven Piles. In: Popper, A.N., Sisneros, J.A., Hawkins, A.D., Thomsen, F. (eds) The Effects of Noise on Aquatic Life. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-50256-9_96. >>>>This Guideline concerns underwater noise in relation to the construction of offshore wind in Danish waters. Technical methods are presented for performing numerical prognosis and measurements. Also, sets of acoustic criteria are stated for compliance. The latter include Permanent Threshold Shift (PTS), Temporary Threshold Shift (TTS), and behavioural impact. The acoustic criteria are based on auditory frequency weighting functions as relevant to species in Danish waters. Impact pile driving as well as vibratory pile driving installation techniques are addressed, with separate adapted methods for modelling and measurements. Requirements for permitted use of an Acoustic Deterrent Device (ADD) are stated. Concession Holder shall carry out a prognosis to estimate the environmental impact using the given sound source and propagation properties and calculate the acoustic metrics experienced by a receptor (marine mammal) while it is fleeing away from the noise source. The Prognosis must be carried out for two to three scenarios, all either fully numerical or on a semi-empirical basis: - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - Mature - , - Organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2470", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2470", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2470", "url": "https:\/\/hdl.handle.net\/11329\/2470" }, "contributor": [ { "@type": "Organization", "name": "Danish Energy Agency" } ], "keywords": [ "Environmental impact", "Pile driving", "Underwater noise", "Offshore wind", "Acoustics", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2307", "name": "Bot Meets Whale: Best Practices for Mitigating Negative Interactions Between Marine Mammals and MicroROVs.", "description": " - Low-cost, portable, observation-class, underwater remotely operated vehicles (microROVs), which can be transported and operated by a single user, are increasingly common tools in scientific, industrial, commercial, and recreational ocean application. Over the last decade, the use of microROVs has boomed; four microROV manufacturers were poised to ship over 10,000 \u201cunderwater drones\u201d in 2018 (Thaler, personal observation). This nascent industry provides an affordable underwater observation solution for marine science, conservation, education, and citizen science programs, as well as community groups and other stakeholders wishing to conduct independentmarine environmental surveys and provides users with an opportunity to viewmarine wildlife with minimal disturbance (Figure 1). This surge in the availability of microROVs also presents several new challenges to marine species. As more robots enter the water, often in the hands of inexperienced recreational users, there is increased potential for detrimental human\/marine mammal interactions. MicroROVs are highly portable and have been identified as potential vectors for invasive species (Thaler et al., 2015). MicroROVs are also capable of causing harm to fragile marine ecosystems from contact with sensitive structures or tether entanglement. One possible outcome of increasing recreational use of microROVs is the increased harassment of marine mammals. The availability of new tools that allow people to approach and view marine mammals while maintaining their own safety has, if managed poorly, the potential to significantly alter the behavior of marine mammals (Higham et al., 2014; Smith et al., 2016). An example of this is provided by the whale and dolphin watching industry, which has developed rapidly world-wide, in some cases with demonstrably negative impacts on targeted populations (Bejder et al., 2006; Barrag\u00e1n-Barrera et al., 2017). Consequently, international policy bodies have been working toward a universal set of best practice guidelines for cetacean viewing over the past decade (e.g., I\u00f1\u00edguez, 2013; ACCOBAMS, 2016). Though not directly comparable, similar discussions have happened over the use of uncrewed aerial vehicles operated in close proximity to marine mammals (Thaler, 2014). To better understand the potential risks and to establish an anticipatory framework to minimize negative interactions between MicroROV operators andmarinemammals, we, a group of six experts in microROVs and\/or marine mammal tourism, conservation, and ecology, conducted a self-guided series of surveys to better identify the most likely and most damaging sources of harmful interactions between microROVs and marine mammals. We then established a set of best practice guidelines for the responsible operation of microROVs in the presence of marine mammals. Those guidelines, elaborated below, can be summarized as: 1. Educate users about the potential negative consequences of microROV operation in the presence of marine mammals. 2. Maintain situational awareness to avoid unintentional contact. 3. Maintain safe distances and avoid intentional contact. 4. Use microROVs as a tool to reduce the number of humans and large passenger vehicles on or in the water. 5. Avoid deployment where marine mammals are already active in an area. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2307", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2307", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2307", "url": "https:\/\/hdl.handle.net\/11329\/2307" }, "author": [ { "@type": "Person", "name": "Thaler, Andrew" }, { "@type": "Person", "name": "Parsons, E. C. M." }, { "@type": "Person", "name": "de Vos, Asha" }, { "@type": "Person", "name": "Rose, Naomi A." }, { "@type": "Person", "name": "Smith, Courtney" }, { "@type": "Person", "name": "Fretz, Dominik" } ], "keywords": [ "MicroROVs", "Animal welfare", "Whales", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1184", "name": "Best practices for the provision of prior information for Bayesian stock assessment.", "description": " - This manual represents a review of the potential sources and methods to be applied when providing prior information to Bayesian stock assessments and marine risk analysis. The manual is compiled as a product of the EC Framework 7 ECOKNOWS project (www.ecoknows.eu). The manual begins by introducing the basic concepts of Bayesian inference and the role of prior information in the inference. Bayesian analysis is a mathematical formalization of a sequential learning process in a probabilistic rationale. Prior information (also called \u201dprior knowledge\u201d, \u201dprior belief\u201d, or simply a \u201dprior\u201d) refers to any existing relevant knowledge available before the analysis of the newest observations (data) and the information included in them. Prior information is input to a Bayesian statistical analysis in the form of a probability distribution (a prior distribution) that summarizes beliefs about the parameter concerned in terms of relative support for different values. Apart from specifying probable parameter values, prior information also defines how the data are related to the phenomenon being studied, i.e. the model structure. Prior information should reflect the different degrees of knowledge about different parameters and the interrelationships among them. Different sources of prior information are described as well as the particularities important for their successful utilization. The sources of prior information are classified into four main categories: (i) primary data, (ii) literature, (iii) online databases, and (iv) experts. This categorization is somewhat synthetic, but is useful for structuring the process of deriving a prior and for acknowledging different aspects of it. A hierarchy is proposed in which sources of prior information are ranked according to their proximity to the primary observations, so that use of raw data is preferred where possible. This hierarchy is reflected in the types of methods that might be suitable \u2013 for example, hierarchical analysis and meta-analysis approaches are powerful, but typically require larger numbers of observations than other methods. In establishing an informative prior distribution for a variable or parameter from ancillary raw data, several steps should be followed. These include the choice of the frequency distribution of observations which also determines the shape of prior distribution, the choice of the way in which a dataset is used to construct a prior, and the consideration related to whether one or several datasets are used. Explicitly modelling correlations between parameters in a hierarchical model can allow more effective use of the available information or more knowledge with the same data. Checking the literature is advised as the next approach. Stock assessment would gain much from the inclusion of prior information derived from the literature and from literature compilers such as FishBase (www.fishbase.org), especially in data-limited situations. The reader is guided through the process of obtaining priors for length\u2013weight, growth, and mortality parameters from FishBase. Expert opinion lends itself to data-limited situations and can be used even in cases where observations are not available. Several expert elicitation tools are introduced for guiding experts through the process of expressing their beliefs and for extracting numerical priors about variables of interest, such as stock\u2013recruitment dynamics, natural mortality, maturation, and the selectivity of fishing gears. Elicitation of parameter values is not the only task where experts play an important role; they also can describe the process to be modelled as a whole. Information sources and methods are not mutually exclusive, so some combination may be used in deriving a prior distribution. Whichever source(s) and method(s) are chosen, it is important to remember that the same data should not be used twice. If the plan is to use the data in the analysis for which the prior distribution is needed, then the same data cannot be used in formulating the prior. The techniques studied and proposed in this manual can be further elaborated and fine-tuned. New developments in technology can potentially be explored to find novel ways of forming prior distributions from different sources of information. Future research efforts should also be targeted at the philosophy and practices of model building based on existing prior information. Stock assessments that explicitly account for model uncertainty are still rare, and improving the methodology in this direction is an important avenue for future research. More research is also needed to make Bayesian analysis of non-parametric models more accessible in practice. Since Bayesian stock assessment models (like all other assessment models) are made from existing knowledge held by human beings, prior distributions for parameters and model structures may play a key role in the processes of collectively building and reviewing those models with stakeholders. Research on the theory and practice of these processes will be needed in the future. - , - Published - , - Authors: Charis Apostolidis \u2022 Guillaume Bal \u2022 Rainer Froese \u2022 Juho Kopra Sakari Kuikka \u2022 Adrian Leach \u2022 Polina Levontin \u2022 Samu M\u00e4ntyniemi Niall \u00d3 Maoil\u00e9idigh \u2022 John Mumford \u2022 Henni Pulkkinen Etienne Rivot \u2022 Atso Romakkaniemi\u2022 Vaishav Soni Konstantinos Stergiou \u2022 Jonathan White \u2022 Rebecca Whitlock - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1184", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1184", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1184", "url": "https:\/\/hdl.handle.net\/11329\/1184" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Bayesian analysis", "Stock assessement", "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1876", "name": "A new era of digitalisation for ocean sustainability?: Prospects, benefits, challenges.", "description": " - Growing worldwide acknowledgement of the importance of our ocean and seas for the future of humanity draws ever more attention to the need for sustainable use of the planet\u2019s marine resources. Without a healthy ocean and productive seas, the task of providing oxygen from primary production, and generating food, energy and jobs for the world\u2019s population, while effectively addressing climate change and biodiversity, will prove all the more challenging. Hence the importance of achieving a sustainable balance between the use of ocean resources and their protection and restoration. Reaching and conserving that balance will require a major global effort, as reflected in the United Nations (UN) Sustainable Development Goals (SDGs) and in particular SDG 14, namely conserve and sustainably use the oceans, seas and marine resources for sustainable development. Good governance, effective management, smart policies and the engagement of many sectors of society, all have their part to play. But so do science and technology. Indeed, they form a keystone in any global ocean sustainability strategy, as conveyed in the context of the UN Decade of Ocean Science for Sustainable Development. Digital technologies hold great promise for ocean sustainability. Artificial Intelligence (AI), cloud computing, the Internet of Things (IoT), processes automation, robotics, high-performance sensors, have been rapidly diffusing throughout the economy and been integrated into a multitude of applications old and new. However, in many areas of the ocean economy their uptake has been markedly slower. That now appears to be changing. There are strong signs that the pace of digital innovation is set to accelerate in the ocean economy. Taking a longer-term view, the widespread diffusion of such technologies holds out the potential to reshape the performance, efficiency and location of many ocean activities, create new ones and contribute significantly to ocean sustainability. This paper explores the potential contribution of digital technologies to ocean sustainability - especially those that apply to the field of ocean observation. As a result, the paper: \uf0b7 explores likely advances in science, technology and innovation over the next 8 to 10 years which should lead to substantial improvements in the collection of data on, and analysis of, the impact of climate change and human activity on marine ecosystems, while also help the monitoring and reduction of the ecological footprint of economic activity in the ocean; \uf0b7 identifies and discusses the steps required to sustain the current innovation momentum in the digital ocean economy, since it cannot be assumed that the considerable potential of such innovations can be fulfilled without considerable additional efforts on multiple fronts; \uf0b7 sets out preliminary reflections on how the Covid-19 pandemic might affect the pace of digital innovation in the ocean economy, and what strategies might be pursued to advance ocean research and innovation during and in the aftermath of the pandemic. Several innovations in ocean-related data collection and analysis are in the pipeline or already coming on stream and have the potential to make a significant impact in the course of the next decade. There are four areas of rapid technological advancement: ocean sensing and imaging instruments benefitting from artificial intelligence and machine to machine commuication; the expanding spatial coverage of float arrays and fixed observation platforms; the increasing autonomy in mobile platforms; and new complex systems integration schemes. Science and technology in all of these areas are able to demonstrate impressive advances in digital innovation in ocean observation. Combining all of these advances into a functioning and effective digital system of ocean data collection, analysis and action holds great promise for the medium- and longer-term future of a sustainable ocean economy. However, many of those innovations will not come to fruition or find widespread use entirely of their own accord. They will require strong supportive, organisational and collaborative action in a wide range of areas. A range of measures are required to sustain over time the current pace of digital innovation in the ocean economy. They comprise measures to reduce the cost of innovating and scaling up production, including the creation of new markets and the testing of new business models for ocean observation systems, introducing new forms of collaboration in ocean technology development, improving ocean literacy for accessing risk capital, and achieving greater standardisation of technology processes and products to push down costs. In addition, actions can be taken to broaden and deepen industry-science collaboration with a view to extending coverage of ocean observation. Opportunities increasingly present themselves for co-operation with various offshore industries, telecommunications cable companies, the fisheries sector and the tourism and leisure industries. Finally, efforts are required to change the ocean data paradigm to reap the benefits of long term investments. This can be achieved through improved access to and sharing of ocean data, greater standardisation of data and interoperability, improved use of best practices as the foundation for standards, accompanied throughout by enhancements in data integrity and security. However, the pursuit of these measures is likely to be significantly challenged by the effects of the Covid-19 pandemic. The pandemic strikes at a particularly delicate moment in time. Significant advances in digital technology for ocean-observation are on the verge of widespread implementation, and the UN Decade of Ocean Science for Sustainable Development is beginning, which holds out the prospect of a massive boost to ocean science in the next ten years. The threat posed by Covid-19 to future investment in science for the ocean in general, and in ocean observation in particular, is that government and privatesector responses to the pandemic could lead to a diversion of human and financial resources and \u2013 perhaps even worse over the longer term \u2013 to budget cuts in ocean research. Should such a scenario of tighter budgets and key resource diversion become a reality, policy-makers and the ocean science community needs to stand ready to implement alleviating measures. It is important that the potential sustainability gains to be derived from recent scientific, technological and organisational advances are not seriously compromised and that creative solutions are found to maintain and improve the efficiency and effectiveness of ocean research activities. Such measures could include efforts to: - leverage existing infrastructures and ocean observation networks, and expand user engagement; - reduce cost and scaling up production volumes of sensors and other instruments, and focus on low-cost solutions where possible; - strengthen industry-science collaboration to expand ocean observation coverage, especially to address the current highly uneven geographical distribution of knowledge, know-how and technologies. - improve access to and sharing of data via standardisation, interoperability and best practices, especially where they promise considerable cost-savings and efficiency gains - And strengthen horizon scanning for innovations and existing technologies that might be adapted to ocean research purposes. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1876", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1876", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1876", "url": "https:\/\/hdl.handle.net\/11329\/1876" }, "author": [ { "@type": "Person", "name": "Stevens, B." }, { "@type": "Person", "name": "Jolly, C." }, { "@type": "Person", "name": "Jolliffe, J." } ], "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Environment", "Cross-discipline", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1002", "name": "BWM - Guidance for best practices on sampling. Version February 2019.", "description": " - The Ballast Water Management Convention or BWM Convention (full name International Convention for the Control and Management of Ships' Ballast Water and Sediments, 2004) is a treaty adopted by the International Maritime Organization (IMO) in order to help prevent the spread of potentially harmful aquatic organisms and pathogens in ships' ballast water. The Convention was adopted by consensus at a Diplomatic Conference held at IMO Headquarters in London on 13 February 2004 and it entered into force on the 8th of September 2017. This document is intended to provide guidance for a harmonised approach to ballast water sampling procedures, identifying best practice according to the different standards, D-1 and D-2 for ascertaining the compliance with the Ballast Water Convention (hereafter referred to as \u2018the Convention\u2019). - , - Published - , - Refereed - , - Current - , - 14.2 - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1002", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1002", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1002", "url": "https:\/\/hdl.handle.net\/11329\/1002" }, "contributor": [ { "@type": "Organization", "name": "International Maritime Organization, Ballast Water Management Convention" } ], "keywords": [ "Ballast water", "Invasive species", "Ballast Water Management Convention", "Sampling", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2032", "name": "Guidelines for coastal fish monitoring.", "description": " - Coastal fish communities are influenced by a plethora of impacting variables, including human-induced pressures related to overexploitation, climate change, eutrophication, contaminants, habitat degradation, effects of trophic interactions and competition with non-indigeneous species (HELCOM 2018c). Although there is a general understanding on the influence of these pressures, little is known about their relative importance and local patterns. Because of the locality of the fish communities, variability between locations regarding which variables are the most important may also be expected. The aim of the current monitoring strategy is to monitor overall changes in coastal fish communities in relation to local and regional changes in the environment, and to support an indicator-based assessment of the status of coastal fish, reflecting potential effects of pressures such as climate, eutrophication, habitat degredation, trophic interactions and fishing. In relation to the effects of climate change, species of freshwater origin generally respond positively to increased water temperatures and decreased salinity levels, whereas marine species and those sensitive to higher water temperatures tend to respond negatively (Olsson et al. 2012a). The abundance of cyprinids in the coastal zone is considered to be indicative of coastal eutrophication in the Baltic Sea, whereas the abundance of coastal piscivores is considered to also reflect coastal fishing pressure (Bergstr\u00f6m et al. 2016ab, Bergstr\u00f6m et al. In press, HELCOM 2018c). To that end, in being in the center of the food web, all coastal fish species are impacted by trophic interactions and other changes in the ecosystem structure and function as well. - , - Published - , - Refereed - , - Current - , - 14.4 - , - Fish abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Species populations - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2032", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2032", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2032", "url": "https:\/\/hdl.handle.net\/11329\/2032" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Fish", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2424", "name": "Marine Plastics EOV and common sampling protocol: EuroSea Deliverable D1.5.", "description": " - This deliverable report describes the process of establishing global coordination for sustained observations of marine plastics debris as a new type of Essential Ocean Variable (EOV) which is the first in a new class of EOVs which help the Global Ocean Observing System (GOOS) address the need to monitor human impacts on the ocean as mandated by the GOOS 2030 Strategy. In this document we report on the EuroSea efforts to implement a community vision for an Integrated Marine Debris Observing System (IMDOS) as a new element of the GOOS, following EuroSea\u2019s Action Plan for establishing global coordination of marine plastics debris observations which was published as a milestone report in the beginning stages of the project. Major accomplishments in implementing the Action Plan are reported, with emphasis on the development of long-term partnerships and collaborations between several international organizations, institutions, expert working groups and other key stakeholder groups responsible for or interested in advancing marine debris monitoring including but not limited to: GOOS, UNEP Global Partnership on Marine Litter (GPML), Group on Earth Observations (GEO) Blue Planet, SCOR Working Group FLOTSAM, MSFD Technical Group on Marine Litter, GESAMP Working Group 40, UNESCO-IOC Working Group on Ocean Best Practices System (OBPS), the Ministry of Environmental Government of Japan (MOEJ), JAMSTEC, or the International Ocean Colour Coordinating Group (IOCCG) Task Force on Remote Sensing of Marine Litter and Debris. The report presents Marine Plastics Debris as a new emerging EOV and includes the first version of the EOV Specification Sheet prepared based on current international expert guidelines and recommendations for global scale monitoring of marine plastics and other debris. Furthermore, the report summarizes the progress towards establishing common sampling protocols for marine plastic debris in Europe and beyond, in particular sampling protocols and shared survey designs which would augment existing ocean observing approaches and thereby also increase the readiness level of marine debris monitoring. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2424", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2424", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2424", "url": "https:\/\/hdl.handle.net\/11329\/2424" }, "author": [ { "@type": "Person", "name": "Palacz, Artur" }, { "@type": "Person", "name": "Telszewski, Maciej" }, { "@type": "Person", "name": "Tanhua, Toste" }, { "@type": "Person", "name": "Heslop, Emma" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Marine plastics", "Plastic litter", "Plastic debris", "EuroSea", "Essential Ocean Variables (EOV)", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1684", "name": "CTD System.", "description": " - A Sea-Bird Electronics 911plus V2 CTD collects vertical profile data at every CalCOFI station. In addition to being a dual TCO (temperature, conductivity, and oxygen) system, the CTD also interfaces with a transmissometer, fluorometer, PAR\/SPAR meters, altimeter, nitrate, and pH sensor. Connected to a shipboard data-acquisition computer through an electronically-conductive winch wire, sensor data are collected and displayed real-time using Seasave V7 on a Windows PC. The CTD is normally lowered to terminal depth of 515 m, bottom-depth permitting, but is routinely deployed within meters from the seafloor at nearshore SCCOOS and basin stations. To ensure high resolution sampling in areas with significant hydrological and biological gradients a speed of ~30 m\/min is used for the first 100 m then ~60 m\/min to depth without stopping. During retrieval, the CTD is paused for at least 20 seconds at target bottle depths to adequately flush each 10 liter sample bottle prior to closure. Seawater samples are analyzed onboard (e.g., salinity, oxygen, nutrients, chl) and are used to correct measured CTD values. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD Seabird 911+ - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1684", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1684", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1684", "url": "https:\/\/hdl.handle.net\/11329\/1684" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2271", "name": "Parameterization of vertical chlorophyll a in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates.", "description": " - Predicting water-column phytoplankton biomass from near-surface measurements is a common approach in biological oceanography, particularly since the advent of satellite remote sensing of ocean color (OC). In the Arctic Ocean, deep subsurface chlorophyll maxima (SCMs) that significantly contribute to primary production (PP) are often observed. These are neither detected by ocean color sensors nor accounted for in the primary production models applied to the Arctic Ocean. Here, we assemble a large database of pan-Arctic observations (i.e., 5206 stations) and develop an empirical model to estimate vertical chlorophyll a (Chl a) according to (1) the shelf-offshore gradient delimited by the 50m isobath, (2) seasonal variability along pre-bloom, post-bloom, and winter periods, and (3) regional differences across ten sub-Arctic and Arctic seas. Our detailed analysis of the dataset shows that, for the pre-bloom and winter periods, as well as for high surface Chl a concentration (Chl a(surf); 0.7-30 mgm(-3)) throughout the open water period, the Chl a maximum is mainly located at or near the surface. Deep SCMs occur chiefly during the post-bloom period when Chl a(surf) is low (0-0.5 mg m(-3)). By applying our empirical model to annual Chl a(surf) time series, instead of the conventional method assuming vertically homogenous Chl a, we produce novel pan-Arctic PP estimates and associated uncertainties. Our results show that vertical variations in Chl a have a limited impact on annual depth-integrated PP. Small overestimates found when SCMs are shallow (i.e., pre-bloom, post-bloom > 0.7 mgm(-3), and the winter period) somehow compensate for the underestimates found when SCMs are deep (i.e., post-bloom < 0.5 mgm(-3)). SCMs are, however, important seasonal features with a substantial impact on depth-integrated PP estimates, especially when surface nitrate is exhausted in the Arctic Ocean and where highly stratified and oligotrophic conditions prevail. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - F13 special sensor microwave imager (SSMI) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2271", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2271", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2271", "url": "https:\/\/hdl.handle.net\/11329\/2271" }, "author": [ { "@type": "Person", "name": "Ardyna, M." }, { "@type": "Person", "name": "Babin, M." }, { "@type": "Person", "name": "Gosselin, M." }, { "@type": "Person", "name": "Devred, E." }, { "@type": "Person", "name": "Belanger, S." }, { "@type": "Person", "name": "Matsuoka, A." }, { "@type": "Person", "name": "Tremblay, J. E." } ], "keywords": [ "Dissolved organic matter", "Chlorophyll a concentration", "Phytoplankton", "Other organic chemical measurements", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/96", "name": "GTSPP Real-Time Quality Control Manual. Revised edition 2010.", "description": " - quality control; oceanographic data; information exchange; guides - , - This Manual has been produced within the context of the Global Temperature-Salinity Profile Programme (GTSPP). Because the work of assuring the quality of data handled by the Programme is shared amongst data centres, it is important to have both consistent and well documented procedures. This Manual describes the means by which data quality is assessed and the actions taken as a result of the procedures. The GTSPP handles all temperature and salinity profile data. This includes observations collected using water samplers, continuous profiling instruments such as CTDs, thermistor chain data and observations acquired using thermosalinographs. These data will reach data processing centres of the Programme through the real-time channels of the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO) or in delayed mode through the IODE system. - , - http:\/\/iode.org\/index.php?option=com_oe&task=viewDocumentRecord&docID=6437 - , - Updated in 2010 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/96", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/96", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/96", "url": "https:\/\/hdl.handle.net\/11329\/96" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "GTSPP water temperature profile quality control QC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/753", "name": "Harmful agal bloom-related water quality monitoring for desalination design and operation.", "description": " - Characterization of the raw seawater at plant intakes and monitoring to detect poor water quality events including harmful algal blooms (HABs) is critical throughout the lifetime of a desalination plant. HABs can result in a substantial increase in the organic and solids load in the seawater feed to be treated at a desalination plant. This may result in an increase in the clogging of granular media filters and accelerated particulate and\/or (bio)fouling of pretreatment and reverse osmosis membranes (see Chapter 2). Other feedwater quality changes may be observed during or following a HAB event, such as a reduction in dissolved oxygen levels and continued high concentration of organics due to decomposition of algal matter by bacteria when the algal bloom degrades. Seawater in areas that are prone to algal blooms or silt inflow etc. may require additional pretreatment if events are frequent and\/or of long duration (Chapter 9). - , - Published - , - Refereed - , - Current - , - Oxygen - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/753", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/753", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/753", "url": "https:\/\/hdl.handle.net\/11329\/753" }, "author": [ { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Villacorte, Loreen O." }, { "@type": "Person", "name": "Weinrich, Lauren" }, { "@type": "Person", "name": "Assiyeh Alizadeh Tabatabai, S." }, { "@type": "Person", "name": "Kennedy, Maria D." }, { "@type": "Person", "name": "Schippers, Jan C." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Water quality", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2033", "name": "Baltic Sea Clean Shipping Guide 2016 : Information for mariners on environmental and safety of navigation measures in the Baltic Sea.", "description": " - This information publication aims to give you a general overview of the regional environmental and safety of navigation measures applied in the Baltic Sea to maritime traffic. The focus is on commercial shipping which have to comply with IMO rules but some of the material might also be relevant for smaller vessels (fishing vessels, working vessels and pleasure craft). Even if specific coastal countries or ports may have deviating practices the content should represent the regional best practice. - , - Published - , - This publication is a renamed, revised and expanded 2016 edition of the \u201cClean Seas Guide\u201d published by HELCOM in 1999, and revised in 2004, 2009 and 2012. - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2033", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2033", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2033", "url": "https:\/\/hdl.handle.net\/11329\/2033" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Navigation", "Maritime shipping", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1032", "name": "BGC-Argo synthetic profile file processing and format on Coriolis GDAC. Version 1.1", "description": " - The current V3.1 Argo netCDF format that produces a pair of core- and b- profile files per cycle, with N_PROF > 1, allows storage of all profile information returned from BGC floats, in a manner that is as close to float output as possible. These can include multiple full-depth profiles with different pressure levels, multiple shallow profiles with different pressure levels, and recording of spatial and\/or temporal delays between the CTD and various BGC sensor outputs. The advantage of this data management approach is that float outputs are faithfully recorded, so that any reprocessing demands that require access to the raw data can be met with ease. However, when measurements from multiple sensors are not aligned during onboard processing by the floats, they are recorded in their raw pressure locations. This makes it difficult to study these BGC parameters as co-located measurements, since some data manipulation to align them needs to be done before scientific studies can be carried out. Moreover, because the V3.1 format requires that all parameters have dimensions (N_PROF, N_LEVELS), where N_LEVELS = maximum number of vertical levels, the files are large in file size and are mostly filled with white space. The goal of a simplified synthetic profile is to co-locate as many BGC observations as possible while preserving the character of the sampling pattern, i.e., sample interval, number of samples, and approximate pressure locations. Data come from the single-cycle c- and b-files. Only c- and b- parameters are included (with all subfields), which means no intermediate BGC parameters (i-argo params) are included. The synthetic pressure axis is constructed from the BGC sampling levels from each cycle. This means that there is no fixed vertical grid for all floats and all cycles. At the end, each single-cycle synthetic profile will have dimension N_PROF = 1. The co-location takes different vertical attachments of BGC sensors into account by displacing the pressure location (based on the config parameter vertical_pressure_offset), which is not the case in core- or b- profile files. This document details the processing steps used to generate synthetic profile data from Argo profile data. It also describes the format of the NetCDF files produced by the Coriolis GDAC to store the synthetic profile data. - , - Published - , - Refereed - , - Current - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1032", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1032", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1032", "url": "https:\/\/hdl.handle.net\/11329\/1032" }, "author": [ { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Wong, Annie" }, { "@type": "Person", "name": "Plant, Josh" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer" } ], "keywords": [ "Argo floats", "Argo profiles", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data format development", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1391", "name": "A quantitative assessment of Arctic shipping in 2010\u20132014.", "description": " - Rapid loss of sea ice is opening up the Arctic Ocean to shipping, a practice that is forecasted to increase rapidly by 2050 when many models predict that the Arctic Ocean will largely be free of ice toward the end of summer. These forecasts carry considerable uncertainty because Arctic shipping was previously considered too sparse to allow for adequate validation. Here, we provide quantitative evidence that the extent of Arctic shipping in the period 2011\u20132014 is already significant and that it is concentrated (i) in the Norwegian and Barents Seas, and (ii) predominantly accessed via the Northeast and Northwest Passages. Thick ice along the forecasted direct trans-Arctic route was still present in 2014, preventing transit. Although Arctic shipping remains constrained by the extent of ice coverage, during every September, this coverage is at a minimum, allowing the highest levels of shipping activity. Access to Arctic resources, particularly fisheries, is the most important driver of Arctic shipping thus far. - , - Refereed - , - 14 - , - Sea Ice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1391", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1391", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1391", "url": "https:\/\/hdl.handle.net\/11329\/1391" }, "author": [ { "@type": "Person", "name": "Egu\u00edluz, Victor M." }, { "@type": "Person", "name": "Fern\u00e1ndez-Gracia, Juan" }, { "@type": "Person", "name": "Irigoien, Xabier" }, { "@type": "Person", "name": "Duarte, Carlos M." } ], "keywords": [ "Arctic shipping", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/586", "name": "Technical Considerations for Use of Geospatial Data in Sea Level Change Mapping and Assessment.", "description": " - This document is intended to provide technical guidance to agencies, practitioners, and coastal decision - makers seeking to use and\/or collect geospatial data to assist with sea level change assessments and mapping products. There is a lot of information available today regarding sea level change and navigating this information can be challenging. This document seeks to clarify existing data and information and provide guidance on how to understand and apply this information to analysis and planning applications by directing readers to specific resources for various applications. There is no single approach to sea level change mapping and assessment. The specific data and information requirements of any user are unique depending on their application, location, and need. It is important to understand what to look for and what questions to ask when applying existing information or collecting new data. The discussion in this document is structured around four key questions to address the required technical considerations: What is sea level change and how is it measured? What are the considerations for sea level applications with respect to data standards? How can users understand and apply geospatial data and information to support sea level rise mapping and assessment and aid in coastal decision making? What are the limitations and gaps with respect to sea level measurement, and what are the implications of those gaps? The document is divided into eight distinct chapters to assist readers in quickly locating the most relevant information:The Introduction and General Information chapters pose the key questions to ask when approaching mapping\/analysis amidst sea level change, and provide background information on past and projected sea level trends. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/586", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/586", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/586", "url": "https:\/\/hdl.handle.net\/11329\/586" }, "author": [ { "@type": "Person", "name": "Allen, Allison" }, { "@type": "Person", "name": "Gill, Stephen" }, { "@type": "Person", "name": "Marcy, Doug" }, { "@type": "Person", "name": "Honeycutt, Maria" }, { "@type": "Person", "name": "Mills, Jerry" }, { "@type": "Person", "name": "Erickson, Mary" }, { "@type": "Person", "name": "Myers, Edward" }, { "@type": "Person", "name": "White, Stephen" }, { "@type": "Person", "name": "Graham, Doug" }, { "@type": "Person", "name": "Evjen, Joe" }, { "@type": "Person", "name": "Olson, Jeff" }, { "@type": "Person", "name": "Riley, Jack" }, { "@type": "Person", "name": "Lindley, Carolyn" }, { "@type": "Person", "name": "Zervas, Chris" }, { "@type": "Person", "name": "Sweet, William" }, { "@type": "Person", "name": "Fenstermacher, Lori" }, { "@type": "Person", "name": "Smith, Dru" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Sea level changes", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1708", "name": "A Practitioner\u2019s Handbook for Fisheries Social Impact Assessment.", "description": " - As United States fisheries managers develop and modify fisheries management plans that set catch limits for the Nation\u2019s commercially important fish stocks, the importance of including and weighing the social impacts associated with changes in management has gained increasing attention. In recognition of the potential for social impacts, social impact assessments have been made a requirement of the overall environmental impact assessment process under the National Environmental Policy Act. To date, there has not been a standardized way of conducting and presenting a fisheries social impact assessment (SIA). In addition, there is a need for a template that incorporates existing data streams and identifies potential new sources of information while being applicable to a wide range of fisheries management decisions. The objective of this Handbook is to provide technical advice for NOAA Fisheries and fishery management councils to streamline the SIA process while fully capturing relevant social impacts. The Handbook provides a primer on SIA in fisheries, the purpose of an SIA, key elements that should be included in SIAs, and common types of social impacts associated with particular management measures. It also reviews the legal requirements for conducting SIAs and provides a set of best practices and analytical tools for conducting SIAs. In addition, it describes the relationship of this Handbook to NMFS Guidance for Social Impact Assessment. - , - Published - , - Refereed - , - Current - , - 14.4 - , - N\/A - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1708", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1708", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1708", "url": "https:\/\/hdl.handle.net\/11329\/1708" }, "author": [ { "@type": "Person", "name": "Clay, Patricia M." }, { "@type": "Person", "name": "Colburn, Lisa L." } ], "contributor": [ { "@type": "Organization", "name": "NOAA National Marine Fisheries Service" } ], "keywords": [ "Fishery Management", "Social impact", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1079", "name": "OGC\u00ae OpenSearch Geo and Time Extensions, Version 1.0.", "description": " - This document includes work undertaken within the GENESI-DR (Ground European Network for Earth Science Interoperations - Digital Repositories) project funded by the 7th Framework program of the European (EC Grant Agreement no. 212073) and the follow-up project GENESI-DEC (Ground European Network for Earth Science Interoperations -Digital Earth Community) funded by the same program (Contract n\u00ba RI- 261623). The document was further supported by the ESA HMA (Heterogeneous Missions Accessibility) initiative [OR1] and related projects. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1079", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1079", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1079", "url": "https:\/\/hdl.handle.net\/11329\/1079" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2081", "name": "Standard Operating Procedure: CTD data pre-processing.", "description": " - Describes the pipeline for CTD Seabird Inc. data pre-processing at the Laboratory of Coastal and Marine Studies. The Institute of Oceanographic Research and Fisheries (IMROP) conducts multiple types of scientific surveys in the Mauritanian EEZ and in coastal areas. This procedure describes a set of operations to pre-process the CTD data collected during these surveys using Seabird Inc. equipment. This document is addressed to any technical personnel who needs either to perform Seabird CTD data pre-processing or improve the existing procedure in future projects. - , - Published - , - Current - , - 14.a - , - Mature - , - Novel (no adoption outside originators) - , - Seabird CTD - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2081", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2081", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2081", "url": "https:\/\/hdl.handle.net\/11329\/2081" }, "author": [ { "@type": "Person", "name": "Mohamed Mahmoud, Mohamed" }, { "@type": "Person", "name": "Munoz Mas, Cristian" } ], "contributor": [ { "@type": "Organization", "name": "Institut Mauritanien De Recherches Oc\u00e9anographiques Et De P\u00eaches (IMROP)" } ], "keywords": [ "Physical oceanography", "CTD", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2166", "name": "What is Effective Research Communication? Towards Cooperative Inquiry with Nunavut Communities.", "description": " - Communication is recognized as the foundation of developing partnerships in science. In this study, we assess the effectiveness of several communication processes, practices, and tools used by wildlife researchers in northern communities in Arctic Canada. A case study was conducted in the communities of Cape Dorset and Coral Harbour (Salliq), Nunavut, Canada, to assess the effectiveness of research communication approaches carried out by the northern marine bird research group of Environment and Climate Change Canada, which has a long-standing research relationship with these two communities. Our objectives were to 1) explore local experiences with research-marine bird research in particular, 2) examine what communication approaches and tools Nunavummiut viewed as most effective for learning about research activities and feeling engaged in the process, and 3) identify new and emerging communication needs in Nunavut communities to support more effective research partnerships. Our findings indicate that several communication methods used by wildlife researchers, such as community meetings, have become less effective because of changing information-sharing practices at the community level. Other communication practices, such as using social media, hold much promise, but as of yet are underutilized by researchers, though of interest to northern communities. Acknowledging that every northern community is unique, with context-specific priorities, capacities, and needs, effective research partnerships should be built upon communication approaches that foster cooperative inquiry and learning. In progress towards this goal, we explore two emerging and related themes: first, access to information and communication technologies in the two communities, and second, the engagement of youth in Arctic research communication and delivery. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2166", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2166", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2166", "url": "https:\/\/hdl.handle.net\/11329\/2166" }, "author": [ { "@type": "Person", "name": "Henri, Dominique A." }, { "@type": "Person", "name": "Brunet, Nicolas D." }, { "@type": "Person", "name": "Dort, Hillary E." }, { "@type": "Person", "name": "Odame, Helen Hambly" }, { "@type": "Person", "name": "Shirley, Jamal" }, { "@type": "Person", "name": "Gilchrist, H. Grant" } ], "keywords": [ "Communications", "Inuit", "Marine birds", "Internet", "Birds, mammals and reptiles", "Cross-discipline", "Youth" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2233", "name": "Broadening the sea-ice forecaster toolbox with community observations: a case study from the northern Bering Sea.", "description": " - Impacts of a warming climate are amplified in the Arctic. One notorious impact is recent and record-breaking summertime sea-ice loss. Expanding areas of open water and a prolonged ice-free season create opportunity for some industries but challenge indigenous peoples relying on sea ice for transportation and access to food. The observed and projected increase of Arctic maritime activity requires accurate sea-ice forecasts to protect life, environment, and property. Motivated by emerging prediction needs on the operational timescale (<= 10 days), this study explores where local indigenous knowledge (LIK) fits into the forecaster toolbox and how it can be woven into useful sea-ice information products. The 2011 spring ice retreat season in the Bering Sea is presented as a forecasting case study. LIK, housed in a database of community-based ice and weather logs, and an ice-ocean forecast model developed by the US Navy are analyzed for their ability to provide information relevant to stakeholder needs. Additionally, metrics for verifying numerical sea-ice forecasts on multiple scales are derived. The model exhibits skill relative to persistence and climatology on the regional scale. At the community scale, we discuss how LIK and new model guidance can enhance public sea-ice information resources. - , - Refereed - , - Les impacts du r\u00e9chauffement climatique sont amplifi\u00e9s en Arctique. Un impact certain est la r\u00e9cente perte record de glace de mer en \u00e9t\u00e9. L\u2019expansion des zones d\u2019eau libre et une saison sans glace prolong\u00e9e cr\u00e9ent des occasions pour quelques industries, mais constituent un d\u00e9fi pour les peuples autochtones qui comptent sur la glace de mer pour le transport et l\u2019acc\u00e8s \u00e0 la nourriture. L\u2019augmentation observ\u00e9e et projet\u00e9e de l\u2019activit\u00e9 maritime arctique n\u00e9cessite des pr\u00e9visions de glace de mer pr\u00e9cises afin de prot\u00e9ger la vie, l\u2019environnement et la propri\u00e9t\u00e9. Cette \u00e9tude, motiv\u00e9e par de nouveaux besoins de pr\u00e9diction sur une \u00e9chelle de temps op\u00e9rationnelle (\u226410 jours), explore \u00e0 savoir \u00e0 quel niveau la connaissance indig\u00e8ne locale (CIL) peut s\u2019ins\u00e9rer dans la bo\u00eete \u00e0 outils des pr\u00e9visionnistes et comment cette connaissance peut \u00eatre int\u00e9gr\u00e9e dans des produits servant d\u2019information sur la glace de mer. La saison de recul des glaces au printemps 2011 en mer de B\u00e9ring est pr\u00e9sent\u00e9e comme une \u00e9tude de cas de pr\u00e9diction. La CIL, sauvegard\u00e9e dans une base de donn\u00e9es de registres des glaces et de m\u00e9t\u00e9orologie provenant de la communaut\u00e9, ainsi qu\u2019un mod\u00e8le de pr\u00e9vision des glaces et oc\u00e9ans d\u00e9velopp\u00e9 par la marine am\u00e9ricaine sont analys\u00e9s afin d\u2019\u00e9valuer leur capacit\u00e9 \u00e0 fournir des informations pertinentes pour les besoins des parties prenantes. De plus, des mesures num\u00e9riques pour v\u00e9rifier les pr\u00e9visions de glace de mer sur plusieurs \u00e9chelles sont d\u00e9riv\u00e9es. Le mod\u00e8le a d\u00e9montr\u00e9 sa capacit\u00e9 quant \u00e0 la persistance et \u00e0 la climatologie \u00e0 l\u2019\u00e9chelle r\u00e9gionale. Nous discutons comment, \u00e0 l\u2019\u00e9chelle communautaire, la CIL et une nouvelle orientation du mod\u00e8le peuvent am\u00e9liorer les ressources d\u2019information publique sur la glace de mer. [Traduit par la R\u00e9daction] - , - 14.2 - , - Sea ice - , - Special Sensor Microwave Imager\/Sounder (SSMIS) radiometers - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2233", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2233", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2233", "url": "https:\/\/hdl.handle.net\/11329\/2233" }, "author": [ { "@type": "Person", "name": "Deemer, Gregory J." }, { "@type": "Person", "name": "Bhatt, Uma S." }, { "@type": "Person", "name": "Eicken, Hajo" }, { "@type": "Person", "name": "Posey, Pamela G." }, { "@type": "Person", "name": "Hutchings, Jennifer K." }, { "@type": "Person", "name": "Nelson, James" }, { "@type": "Person", "name": "Heim, Rebecca" }, { "@type": "Person", "name": "Allard, Richard A." }, { "@type": "Person", "name": "Wiggins, Helen" }, { "@type": "Person", "name": "Creek, Kristina" } ], "keywords": [ "Indigenous Knowledge", "Forecasting techniques", "radiometers", "Data aggregation", "Data processing", "Data visualization", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2368", "name": "Initial Alignment for SINS Based on Pseudo-Earth Frame in Polar Regions.", "description": " - An accurate initial alignment must be required for inertial navigation system (INS). The performance of initial alignment directly affects the following navigation accuracy. However, the rapid convergence of meridians and the small horizontal component of rotation of Earth make the traditional alignment methods ineffective in polar regions. In this paper, from the perspective of global inertial navigation, a novel alignment algorithm based on pseudo-Earth frame and backward process is proposed to implement the initial alignment in polar regions. Considering that an accurate coarse alignment of azimuth is difficult to obtain in polar regions, the dynamic error modeling with large azimuth misalignment angle is designed. At the end of alignment phase, the strapdown attitude matrix relative to local geographic frame is obtained without influence of position errors and cumbersome computation. As a result, it would be more convenient to access the following polar navigation system. Then, it is also expected to unify the polar alignment algorithm as much as possible, thereby further unifying the form of external reference information. Finally, semi-physical static simulation and in-motion tests with large azimuth misalignment angle assisted by unscented Kalman filter (UKF) validate the effectiveness of the proposed method. - , - Refereed - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Polar alignment - , - Fiber optical gyroscope (FOG) SINS - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2368", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2368", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2368", "url": "https:\/\/hdl.handle.net\/11329\/2368" }, "author": [ { "@type": "Person", "name": "Gao, Yanbin" }, { "@type": "Person", "name": "Liu, Meng" }, { "@type": "Person", "name": "Li, Guangchun" }, { "@type": "Person", "name": "Guang, Xingxing" } ], "keywords": [ "Global inertial navigation system", "Terrestrial", "accelerometers", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1332", "name": "Protocol for IMOS microscopic phytoplankton sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures \u2013 Protocol for IMOS microscopic phytoplankton sample collection. (1.20 mins) ... - , - Published - , - Current - , - 14.A - , - Phytoplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1332", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1332", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1332", "url": "https:\/\/hdl.handle.net\/11329\/1332" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Biogeochemical water sampling", "Phytoplankton samples", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2469", "name": "JAMP Eutrophication Monitoring Guidelines: Benthos (OSPAR Agreement 2012-12).", "description": " - Benthic communities (including hard-bottom and soft-bottom macrophytobenthos and hard-bottom and soft-bottom macrozoobenthos) generally occur in recognisable states, depending on the substrate, depth, wave exposure and salinity etc. Macrobenthic communities are an appropriate target for monitoring since: a) an important component of benthic communities is that formed by species which are long-lived and which therefore integrate environmental change over long periods of time; b) they are relatively easy to sample quantitatively; c) they are well-studied scientifically, compared with other sediment-dwelling components (e.g. meiofauna and microfauna) and taxonomic keys are available for most groups; d) community structure responds in a predictable manner to a number of anthropogenic influences (thus, the results of change can be interpreted with a degree of confidence); e) there may be direct links with commercially valued resources, e.g. fish (via feeding) and edible molluscs; f) the floral part integrates long-term change of water quality (turbidity). Nutrient enrichment\/eutrophication may increase the food supply to the benthos and therefore may give rise to changes in species composition and numbers, increased biomass, a shift from k-selected to r-selected species, shifts in functional groups, changes in community structure and an impoverishment of benthic communities due to anoxia. These guidelines are intended to support the minimum monitoring requirements of the Monitoring Programme. Much information exists on methodology for benthos investigations. The most relevant reports are those by Rumohr (2009) which deals largely with methodology for the collection and treatment of the soft-bottom macrofauna, and by Rees et al. (1991) and Rees (2009) which focus on the monitoring of benthic communities around point-source discharges and epibenthic studies, respectively. These accounts also deal more generally with the role of benthos studies in investigations of human impact, including guidance on the sampling of different substrate types. The HELCOM \u2018COMBINE\u2019 manual for monitoring in the Baltic Sea is another important reference source (see www.helcom.fi). A range of other documents are of value in the planning and carrying out of marine benthos sampling programmes. The most useful is that by Eleftheriou and McIntyre (2005) which is a standard reference for work of this type. Gray et al. (1992) report on approaches to marine pollution assessment and provide practical examples of applying the PRIMER (\u2018Plymouth Routines in Multivariate Ecological Research\u2019) package for univariate, graphical and multivariate data analyses (see Clarke and Gorley, 2001 for further details). Kramer et al. (1994) have produced a manual for the sampling of tidal estuaries. An account of survey methods employed by a team of scientists undertaking a review of marine nature conservation in UK inshore waters together with a rationale for such work is given by Hiscock (1996), Davies et al. (2001) and Connor et al. (2004). A monitoring programme and monitoring guidelines have been prepared for the Wadden Sea \u2018Trilateral Monitoring and Assessment Programme\u2019 (TMAP, 2000). The last update of this document was mainly to harmonize it with the EN ISO 16665 (2005) a European and International Standard on quantitative sampling and sample processing of marine soft-bottom macrofauna. For marine biological surveys of hard-substrate communities the EN ISO 19493 (2007) gives advice. These EN ISO guidelines are mandatory regulations which have to take over in national regulations and should be consulted when detailed questions on sampling and sample processing are to be cleared. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Invertebrate abundance and distribution (*emerging) - , - Mature - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2469", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2469", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2469", "url": "https:\/\/hdl.handle.net\/11329\/2469" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Benthos", "Benthic habitat monitoring", "Benthic communities", "Macrophytobenthos", "Macrozoobenthos", "Microzooplankton", "Phytoplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1320", "name": "An End-to-End DNA Taxonomy Methodology for Benthic Biodiversity Survey in the Clarion-Clipperton Zone, Central Pacific Abyss.", "description": " - Recent years have seen increased survey and sampling expeditions to the Clarion-Clipperton Zone (CCZ), central Pacific Ocean abyss, driven by commercial interests from contractors in the potential extraction of polymetallic nodules in the region. Part of the International Seabed Authority (ISA) regulatory requirements are that these contractors undertake environmental research expeditions to their CCZ exploration claims following guidelines approved by the ISA Legal and Technical Commission (ISA, 2010). Section 9 (e) of these guidelines instructs contractors to \u201c . . . collect data on the sea floor communities specifically relating to megafauna, macrofauna, meiofauna, microfauna, nodule fauna and demersal scavengers\u201d. There are a number of methodological challenges to this, including the water depth (4000\u20135000 m), extremely warm surface waters (~28 C) compared to bottom water (~1.5 C) and great distances to ports requiring a large and long seagoing expedition with only a limited number of scientists. Both scientists and regulators have recently realized that a major gap in our knowledge of the region is the fundamental taxonomy of the animals that live there; this is essential to inform our knowledge of the biogeography, natural history and ultimately our stewardship of the region. Recognising this, the ISA is currently sponsoring a series of taxonomic workshops on the CCZ fauna and to assist in this process we present here a series of methodological pipelines for DNA taxonomy (incorporating both molecular and morphological data) of the macrofauna and megafauna from the CCZ benthic habitat in the recent ABYSSLINE cruise program to the UK-1 exploration claim. A major problem on recent CCZ cruises has been the collection of high-quality samples suitable for both morphology and DNA taxonomy, coupled with a workflow that ensures these data are made available. The DNA sequencing techniques themselves are relatively standard, once good samples have been obtained. The key to quality taxonomic work on macrofaunal animals from the tropical abyss is careful extraction of the animals (in cold, filtered seawater), microscopic observation and preservation of live specimens, from a variety of sampling devices by experienced zoologists at sea. Essential to the long-term iterative building of taxonomic knowledge from the CCZ is an \u201cend-to-end\u201d methodology to the taxonomic science that takes into account careful sampling design, at-sea taxonomic identification and fixation, post-cruise laboratory work with bothDNAand morphology and finally a careful sample and data management pipeline that results in specimens and data in accessible open museum collections and online repositories. - , - Refereed - , - 14.A - , - Invertebrate abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1320", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1320", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1320", "url": "https:\/\/hdl.handle.net\/11329\/1320" }, "author": [ { "@type": "Person", "name": "Glover, Adrian G." }, { "@type": "Person", "name": "Dahlgren, Thomas G" }, { "@type": "Person", "name": "Wiklund, Helena" }, { "@type": "Person", "name": "Mohrbeck, Inga" }, { "@type": "Person", "name": "Smith, Craig R." } ], "keywords": [ "Macrofauna", "Benthos", "Abyssal", "Polychaeta", "Mollusca", "Echinodermata", "Box core", "Epibenthic sledge", "Parameter Discipline::Biological oceanography::Other biological measurements", "Instrument Type Vocabulary::benthos samplers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1702", "name": "MEDIN data guideline for the recording of oceanographic vertical profile data. Version 4.0.", "description": " - This guideline is a data archive standard for oceanographic vertical profile data including conductivity, temperature, depth (CTD), fluorescence, turbidity and dissolved oxygen. If used correctly the data will be easily used and reused. - , - Published - , - Mature - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1702", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1702", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1702", "url": "https:\/\/hdl.handle.net\/11329\/1702" }, "author": [ { "@type": "Person", "name": "Charlesworth ,M." }, { "@type": "Person", "name": "Evans, G." }, { "@type": "Person", "name": "Hearn, M." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Oceanography", "Profile", "Salinity", "Conductivity", "Temperature", "Depth", "CTD", "DO", "Turbidity", "Fluorescence", "Parameter Discipline::Chemical oceanography, Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/135", "name": "Electronic Chart Systems Ice Objects Catalogue, Version 5.1. Draft for Approval. February 2012. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/403]", "description": " - Many Arctic and Baltic nations maintain Ice Services and issue ice charts on a regular basis when marine activities are occurring in the vicinity of sea ice and icebergs. These ice charts are used on ships as an aid to navigation in ice infested waters. Electronic Navigation Charts (ENC) and Electronic Chart Display and Information Systems (ECDIS) are becoming widely available on ships navigating in icy waters and it is necessary to provide ice data in a form that can be used in these systems. The ENC Ice Objects Catalogue has developed slowly since the mid-1990\u2019s. Initially, several ad-hoc workshops were held involving experts from national ice services, national hydrographic organizations and private companies involved in the manufacture of electronic charts and display systems. - , - http:\/\/www.jcomm-services.org\/modules\/documents\/documents\/si3_gdsidb11_Doc_2.6.4_APPENDIX_Ice_Objects_Catalogue.doc - , - Superceded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/135", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/135", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/135", "url": "https:\/\/hdl.handle.net\/11329\/135" }, "author": [ { "@type": "Person", "name": "Falkingham, John" }, { "@type": "Person", "name": "Smolyanitsky, Vasily" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM Expert Team on Sea Ice (ETSI)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2002", "name": "Guidelines for determination of salinity and temperature using CTD.", "description": " - Salinity Measurements based on electrical conductivity have since the 1960s replaced measurements of chlorinity. The Practical Salinity Scale of 1978 (PSS-78) presently used, has been defined to maintain a continuity with older scales and methods. The scale is based on conductivity of a reference solution prepared from potassium chloride. Practical Salinity (SP) is calculated from the ratio of conductivity between sample and reference solution. Since the scale is based on a ratio, no unit is assigned to it. Despite this, salinity data are sometimes presented with the units \u2030 or psu. The equations used in calculation of Practical Salinity from conductivity are valid for practical salinity ranging from 2 to 42. A new standard for the properties of seawater was introduced in 2010; the thermodynamic equation of seawater 2010 (TEOS-10). This standard also includes a new scale, called the Absolute Salinity scale. Absolute Salinity (SA) is expressed as a mass fraction, in grams per kilogram of solution. While Absolute Salinity is the variable needed to calculate density and other properties of seawater, Practical Salinity is still the variable measured, reported and archived in marine environmental monitoring. Temperature Temperature sensors are calibrated to the ITS 90scale. 1.2 Purpose and aims Although not HELCOM Core Indicators, salinity and temperature are essential supporting parameters in marine monitoring. CTD profiles should always be recorded when water is sampled for monitoring purposes. A CTD cast gives vital information about the present characteristics of the water column. The data and information obtained from a CTD cast can be used for identifying water masses by its salinity and temperature, finding the depth for the onset of hypoxia and anoxia, view the phytoplankton distribution and other oceanographic phenomena depending on which additional sensors that are used together with the CTD. If the CTD data undergoes basic quality controls onboard it can also be made available in near-real time for example to be assimilated into ocean models (Baltic Operational Oceanographic System, www.boos.org). The parameters obtained from the CTD could be used for assessment of water quality and\/or as supporting parameters. To ensure that CTD data of high quality is collected there is a need to follow standard protocols for CTD sampling, data processing, documentation, quality control, sensor control, calibration and maintenance, data reporting and data storage. - , - Published - , - Refereed - , - Current - , - 14.a - , - Surface salinity - , - Subsurface salinity - , - Surface temperature - , - Subsurface temperature - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2002", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2002", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2002", "url": "https:\/\/hdl.handle.net\/11329\/2002" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "CTD", "Salinity measurement", "Temperature measurement", "Practical Salinity Scale of 1978 (PSS-78)", "Water column temperature and salinity", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1300", "name": "ERISNet: deep neural network for Sargassum detection along the coastline of the Mexican Caribbean.", "description": " - Recently, Caribbean coasts have experienced atypical massive arrivals of pelagic Sargassum with negative consequences both ecologically and economically. Based on deep learning techniques, this study proposes a novel algorithm for floating and accumulated pelagic Sargassum detection along the coastline of Quintana Roo, Mexico. Using convolutional and recurrent neural networks architectures, a deep neural network (named ERISNet) was designed specifically to detect these macroalgae along the coastline through remote sensing support. A new dataset which includes pixel values with and without Sargassum was built to train and test ERISNet. Aqua-MODIS imagery was used to build the dataset. After the learning process, the designed algorithm achieves a 90% of probability in its classification skills. ERISNet provides a novel insight to detect accurately algal blooms arrivals. - , - Refereed - , - 14.2 - , - Macroalgal canopy cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1300", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1300", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1300", "url": "https:\/\/hdl.handle.net\/11329\/1300" }, "author": [ { "@type": "Person", "name": "Arellano-Verdejo, J." }, { "@type": "Person", "name": "Lazcano-Hernandez, H.E." }, { "@type": "Person", "name": "Cabanillas-Ter\u00e1n, N." } ], "keywords": [ "Remote sensing", "Satellite sensing", "Neural networks", "Algal blooms", "Sargassum", "Seaweed", "Deep learning", "Macroalgae", "Management", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "MODIS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2530", "name": "ISO 19493:2007. Water quality \u2014 Guidance on marine biological surveys of hard-substrate communities. Edition 1.", "description": " - ISO 19493:2007 provides guidance for marine biological surveys of supralittoral, eulittoral and sublittoral hard substrate for environmental impact assessment and monitoring in coastal areas. It comprises development of the sampling programme, survey methods, species identification and storage of data and collected material. ISO 19493:2007 specifies the minimum requirements for environmental monitoring. The methods are limited to surveys and semi-quantitative and quantitative recording techniques that cause little destruction of the fauna and flora. In practice, this refers to direct recording in the field and photography. Sampling by scraping off organisms, use of a suction sampler, etc. are not covered in ISO 19493:2007. - , - Published - , - Refereed - , - Current - , - 14.a - , - Hard coral cover and composition - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2530", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2530", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2530", "url": "https:\/\/hdl.handle.net\/11329\/2530" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Sampling programme", "Species identification", "Enviuronmental impacti assessment (EIA)", "Survey methods", "Rock and sediment biota", "Data acquisition", "Data analysis", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1710", "name": "From the Oceans to the Cloud: Opportunities and Challenges for Data, Models, Computation and Workflows.", "description": " - Advances in ocean observations and models mean increasing flows of data. Integrating observations between disciplines over spatial scales from regional to global presents challenges. Running ocean models and managing the results is computationally demanding. The rise of cloud computing presents an opportunity to rethink traditional approaches. This includes developing shared data processing workflows utilizing common, adaptable software to handle data ingest and storage, and an associated framework to manage and execute downstream modeling. Working in the cloud presents challenges: migration of legacy technologies and processes, cloud-to-cloud interoperability, and the translation of legislative and bureaucratic requirements for \u201con-premises\u201d systems to the cloud. To respond to the scientific and societal needs of a fit-for-purpose ocean observing system, and to maximize the benefits of more integrated observing, research on utilizing cloud infrastructures for sharing data and models is underway. Cloud platforms and the services\/APIs they provide offer new ways for scientists to observe and predict the ocean\u2019s state. High-performance mass storage of observational data, coupled with on-demand computing to run model simulations in close proximity to the data, tools to manage workflows, and a framework to share and collaborate, enables a more flexible and adaptable observation and prediction computing architecture. Model outputs are stored in the cloud and researchers either download subsets for their interest\/area or feed them into their own simulations without leaving the cloud. Expanded storage and computing capabilities make it easier to create, analyze, and distribute products derived from long-term datasets. In this paper, we provide an introduction to cloud computing, describe current uses of the cloud for management and analysis of observational data and model results, and describe workflows for running models and streaming observational data. We discuss topics that must be considered when moving to the cloud: costs, security, and organizational limitations on cloud use. Future uses of the cloud via computational sandboxes and the practicalities and considerations of using the cloud to archive data are explored. We also consider the ways in which the human elements of ocean observations are changing \u2013 the rise of a generation of researchers whose observations are likely to be made remotely rather than hands on \u2013 and how their expectations and needs drive research towards the cloud. In conclusion, visions of a future where cloud computing is ubiquitous are discussed. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1710", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1710", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1710", "url": "https:\/\/hdl.handle.net\/11329\/1710" }, "author": [ { "@type": "Person", "name": "Vance, T.C." }, { "@type": "Person", "name": "Wengren, M." }, { "@type": "Person", "name": "Burger, E." }, { "@type": "Person", "name": "Hernandez, D." }, { "@type": "Person", "name": "Kearns, T." }, { "@type": "Person", "name": "Medina-Lopez, E." }, { "@type": "Person", "name": "Merati, N." }, { "@type": "Person", "name": "O\u2019Brien, K." }, { "@type": "Person", "name": "O\u2019Neil, J." }, { "@type": "Person", "name": "Potemra, J.T." }, { "@type": "Person", "name": "Signell, R.P." }, { "@type": "Person", "name": "Wilcox, K." } ], "keywords": [ "Ocean modeling", "Cloud computing", "Data archiving", "Cross-discipline", "Data management planning and strategy development", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/292", "name": "Manual for Real-Time Quality Control of In-Situ Current Observations: a Guide to Quality Control and Quality Assurance of Acoustic Doppler Current Profiler Observations. Version 2.0. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-536]", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the in-situ currents community at large for the real-time QC of in-situ current measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean-observing community and represents a contribution to a collection of core variable QC documents. This manual documents a series of test procedures for ocean currents data QC. Current observations covered by these procedures are collected in oceans, coastal waters, and lakes in real time or near-real time. The scope of real time has expanded to accommodate the span of the 26 variables covered by U.S. IOOS ... - , - Published - , - Refereed - , - Superseded - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9); - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/292", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/292", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/292", "url": "https:\/\/hdl.handle.net\/11329\/292" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "QARTOD", "IOOS", "Quality assurance", "ADCP", "Acoustic doppler current profiler", "Current measurement", "Physical oceanography", "Instrument Type Vocabulary::current profilers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/296", "name": "The Data Librarian's Handbook. [Facet Publishing Book Webpage]", "description": " - An insider\u2019s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. There is a growing interest in data as an object of interest over and above digital information \u2013 its use, preservation and curation, and how to support researchers\u2019 production and consumption of it in ever greater volumes, to create new knowledge. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. This book, written by two data librarians with over 30 years\u2019 experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice and links to further readings, The Data Librarian\u2019s Handbook is a must-read for all new entrants to the field, library and information students and working professionals. (192pp.) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/296", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/296", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/296", "url": "https:\/\/hdl.handle.net\/11329\/296" }, "author": [ { "@type": "Person", "name": "Rice, Robin" }, { "@type": "Person", "name": "Southall, John" } ], "keywords": [ "Data librarianship", "Data carpentry", "Data science", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Administration and dimensions", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/550", "name": "Environmental Data Management Best Practices - basic concepts. Version 1.", "description": " - Overview of environmental data management principles, methods and resources intended for SLGO members and partners in order to provide basic notions to contribute to better understanding of the data life cycle and to foster the scientific data management best practices. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/550", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/550", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/550", "url": "https:\/\/hdl.handle.net\/11329\/550" }, "contributor": [ { "@type": "Organization", "name": "St Lawrence Global Observatory" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1406", "name": "Data Management Planning for Citizen Science.", "description": " - This guidance note provides specific, practical advice to citizen science practitioners (specifically those involved in the planning, collection, storage or use of data) about the development of data management plans to support the value of datasets from citizen science projects. A good Data Management Plan \u2013 considering the whole lifecycle of data from its creation and storage to its use, publication and re-use \u2013 will add value to citizen science datasets and help them to have greatest possible use and impact. UKEOFOver the last decade there has been a sharp increase in the use of citizen science to generate data to support and inform scientific research1. This has also raised interest in the use of these data as a potential source of evidence to inform public policy and decision making2. This trend suggests a growing potential for citizen science to create data that can have a real impact in the way we understand, observe and manage our world and the challenges it faces. Variation in project design, survey protocols, data models, data quality, and result dissemination mechanisms can result in project data being unpublished or siloed and therefore can be overlooked or rejected by evidence specialists or analysts. A good data plan will ensure that your data are FAIR3 \u2013 meaning that they meet standards of findability, accessibility, interoperability and reusability. This note builds on other guidance material produced by UKEOF, especially the Advice Notes from the Data Advisory Group4 and the best practice guides from the Citizen Science Working Group5. - , - Published - , - Refereed - , - Current - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1406", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1406", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1406", "url": "https:\/\/hdl.handle.net\/11329\/1406" }, "contributor": [ { "@type": "Organization", "name": "UK Environmental Observation Framework (UKEOF)" } ], "keywords": [ "Citizen Science", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1047", "name": "Deep Ocean Observing Strategy: Science and Implementation Guide.", "description": " - 1. Identify Essential Ocean Variables (EOVs) and evolve their specifications to fully consider deep-ocean perspectives across physical, biogeochemical, biological, and ecological variables over the next decade. This includes adding the deep-ocean perspective to existing Global Ocean Observing System (GOOS) EOVs and adding additional deep-ocean EOVs (Table 1). The development of these EOVs will improve understanding of the state of the deep ocean, characterize existing conditions, constrain the deep ocean state in ocean climate models, and quantify its response to climate variability and human disturbance. 2. Showcase the value of integrating deep-ocean observing efforts towards maturing capability and capacity, technology readiness, and deep-ocean data findability (discovery), accessibility, interoperability, and reusability (FAIR). Demonstration projects can help mature nascent platforms and sensors, develop strategies for global-scale deployment, and work to integrate observing efforts across disciplines. Demonstration projects are currently proposed for the Clarion Clipperton Fracture Zone, the Northeast Pacific, and the Azores Archipelago. 3. Serve as a communication hub for a broad spectrum of stakeholders in the deep-ocean science, data, and information user communities. Specifically, these efforts focus on facilitating cross-disciplinary information transfer among physicists, biogeochemists, biologists, engineers, technology experts, data managers, law and policy specialists, and social scientists addressing the deep ocean. 4. Provide an avenue through which the deep ocean research community and the data they produce can reach policy makers and inform policy decisions - , - Published - , - Supporting Authors Baumann-Pickering, S., Carreiro-Silva, M.6, Desai. K., Gjerde, K., Howe, B., Janssen, F.1, Katsumata, K.1, Kelley, D.1, Le Bris, N., Smith, C., Snelgrove, P., Song, S., Soule, A., Stocks, K., Rome, N., Venkatesan, R., Weller, R. - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1047", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1047", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1047", "url": "https:\/\/hdl.handle.net\/11329\/1047" }, "author": [ { "@type": "Person", "name": "Levin, L." }, { "@type": "Person", "name": "Ruhl, H." }, { "@type": "Person", "name": "Heimbach, P." }, { "@type": "Person", "name": "McCurdy, A." }, { "@type": "Person", "name": "Smith, L." } ], "contributor": [ { "@type": "Organization", "name": "Deep Ocean Observing Strategy Project" } ], "keywords": [ "Deep Ocean Observing Strategy (DOOS)", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2172", "name": "Comparative visual and DNA-based diet assessment extends the prey spectrum of polar cod Boreogadus saida.", "description": " - The Arctic marine ecosystem is changing fast due to climate change, emphasizing the need for solid ecological baselines and monitoring. The polar cod Boreogadus saida functions as a key species in the Arctic marine food web. We investigated the stomach contents of polar cod from the northern Barents Sea using DNA metabarcoding with the mitochondrial cytochrome c oxidase I gene in parallel with classical visual analysis. Arctic amphipods and krill dominated the diet in both methods. Yet, metabarcoding allowed for the identification of digested and unidentifiable prey and provided higher taxonomic resolution, revealing new and undiscovered prey items of polar cod in the area. Furthermore, molecular results suggest a higher importance of barnacles and fish (presumably eggs and pelagic larvae) in the diet than previously recorded. Parasites and, in 6 cases, other prey items were only visually identified, demonstrating the complementary nature of both approaches. The presence of temperate and boreal prey species such as northern krill and (early life stages of) European flounder and European plaice illustrates the advection of boreal taxa into the polar region or may be indicative of ongoing borealisation in the Barents Sea. We show that a combination of visual analysis and metabarcoding provides complementary and semi-quantitative dietary information and integrative insights to monitor changing marine food webs. - , - Research was funded by Research Foundation Flanders (FWO) through a fellowship for strategic basic research (FWO-SB, grant no. 1S04418N) and by a Brilliant Marine Research Idea Philanthropy Award 2019 granted by the Flanders Marine Institute (VLIZ), Belgium, to S.M.M. and was carried out with infrastructure support from European Marine Biological Resource Centre (EMBRC) Belgium-FWO project I001621N. H.C. was supported by a fellowship from the former Flemish Agency for Innovation by Science and Technology, now Flanders Innovation & Entrepreneurship (VLAIO, grant no. 141328). Fieldwork was supported by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), under expedition grant no. AWI_PS106\/1_2-00 and the Netherlands Ministry of Agriculture, Nature and Food Quality (LNV) under its Statutory Research Task Nature & Environment WOT-04-009-047.04. We thank Captain Thomas Wunderlich and the crew of RV 'Polarstern' expedition PS106\/2 for their support. We are very grateful to everyone who collected samples, that is Nils Koschnick, Jennifer Steffen, Erik Sulanke, Kim Vane and Susanne Fuchs with the assistance of Elisa Bravo Rebolledo, Giulia Castellani and Julia Ehrlich. We sincerely thank Birte Matthiessen, Paul E. Renaud and 2 anonymous reviewers for their constructive comments that helped improve the paper. Polar cod were sampled and processed according to and within the laws, guidelines and policies of the German Animal Welfare Organisation; no specific permissions were required. The fish collected are neither endangered nor protected in the coastal waters of the Svalbard Archipelago. Polar cod were sacrificed immediately after sampling. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2172", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2172", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2172", "url": "https:\/\/hdl.handle.net\/11329\/2172" }, "author": [ { "@type": "Person", "name": "Maes, Sarah M." }, { "@type": "Person", "name": "Schaafsma, Fokje L." }, { "@type": "Person", "name": "Christiansen, Henrik" }, { "@type": "Person", "name": "Hellemans, Bart" }, { "@type": "Person", "name": "Lucassen, Magnus" }, { "@type": "Person", "name": "Mark, Felix C." }, { "@type": "Person", "name": "Flores, Hauke" }, { "@type": "Person", "name": "Volckaert, Filip A.M." } ], "keywords": [ "DNA metabarcoding", "Borealisation", "Arctic ecosystems", "Arctic cod", "Trophic ecology", "Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1480", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report Remote Access Sampler: Sample Analysis Version 1.0. Macronutrient Analysis 2009-2018.", "description": " - This report details the quality assessment and control procedures applied to the macronutrient samples from the Remote Access Sampler deployed on Southern Ocean Flux Station (SOFS) and Pulse moorings between 2009 and 2018. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Current - , - 14.A - , - Sea Surface Temperature - , - Sea Surface Salinity - , - Subsurface Temperature - , - Subsurface Salinity - , - Nutrients - , - Inorganic Carbon - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1480", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1480", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1480", "url": "https:\/\/hdl.handle.net\/11329\/1480" }, "author": [ { "@type": "Person", "name": "Davies, Diana M." }, { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::discrete water samplers", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1268", "name": "AMAP Assessment 2018: Arctic Ocean Acidification.", "description": " - This assessment report presents the results of the 2018 Arctic Monitoring and Assessment Programme (AMAP) assessment of Arctic Ocean Acidification. This is the second such assessment dealing with ocean acidification from an Arcticwide perspective, and complements several assessments that AMAP has delivered over past years concerning the effects of climate change on Arctic ecosystems and people. The main objectives of this assessment were to: \u2022\u2022 Update the understanding of chemical and biological responses to ocean acidification since the first Arctic Ocean acidification assessment in 2013. \u2022\u2022 Evaluate how ecological frameworks may respond to ocean acidification. \u2022\u2022 Research socioeconomic and cultural consequences of ocean acidification at selected case study regions. \u2022\u2022 Report on how Arctic Ocean acidification may impact on downstream global systems. \u2022\u2022 Deliver guidance for management of change. AMAP is a group working under the Arctic Council. The Arctic Council Ministers have requested that AMAP: \u2022\u2022 Produce integrated assessment reports on the status and trends of the conditions of the Arctic ecosystems. \u2022\u2022 Identify possible causes for the changing conditions. \u2022\u2022 Detect emerging problems, their possible causes, and the potential risk to Arctic ecosystems including indigenous peoples and other Arctic residents. \u2022\u2022 Recommend actions required to reduce risks to Arctic ecosystems. This assessment report provides the scientific basis and validation for the statements and recommendations made in the AMAP Arctic Ocean Acidification: Assessment Summary for Policy-makers that will be delivered to Arctic Council Ministers at their meeting in Rovaniemi, Finland in May 2019. It includes extensive background data and references to the scientific literature. The summary for policy-makers report contains recommendations that focus mainly on policyrelevant actions concerned with addressing the consequences of ocean acidification in the Arctic, while the conclusions and recommendations presented in this report cover issues of a more scientific nature, such as proposals for filling gaps in knowledge, and recommendations relevant to future monitoring and research work. This assessment was conducted between 2014 and 2018 by an international group of over 40 experts. Lead authors were selected based on an open nomination process coordinated by AMAP. A similar process was used to select international experts who independently reviewed this report. - , - Published - , - Refereed - , - Current - , - 14.3 - , - Inorganic carbon - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1268", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1268", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1268", "url": "https:\/\/hdl.handle.net\/11329\/1268" }, "contributor": [ { "@type": "Organization", "name": "Arctic Monitoring and Assessment Programme (AMAP)" } ], "keywords": [ "Ocean acidification", "CAPARDUS", "AMAP", "Parameter Discipline::Chemical oceanography::Carbonate system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/154", "name": "MIM Publication Series Volume 2. Information networking: the development of national and regional scientific information exchange.", "description": " - In this manual a complete overview is provided of the procedures to develop national or regional information exchange networks within a developing country framework. Attention is given to types of information which need to be exchanged, identification of network components, the network structure, the role and responsibilities of a dispatch centre and its staff. As an example of an operational network an extensive description is given of the RECOSCIX-WIO project including its history, services and products. - , - Published - , - national information requirement, regional information requirement, marine information centre, network components, information exchange, librarian role, RECOSCIX, WIO, Document delivery, Query handling, factual information, public awarness, printed scientific information, human factor - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/154", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/154", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/154", "url": "https:\/\/hdl.handle.net\/11329\/154" }, "author": [ { "@type": "Person", "name": "Pissierssens, P." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine Information Management", "Information services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2559", "name": "SISP 7 - Manual for the Baltic International Trawl Surveys (BITS). Version 2.", "description": " - This manual describes the coordinated survey design for Baltic international trawl surveys. Randomly stratified fishing-stations location is based on ICES subdivisions and their depth layers as strata to reflect the variability of the Baltic target species temporal-spatial distribution pattern. Besides the traditional Baltic International Trawl Survey (BITS-Q1) in February-March additional coordinated, routine survey (BITS-Q4) has been conducted in November, since 2001. The above-mentioned demersal trawl surveys are coordinated by the ICES WGBIFS. The surveys aimed to the monitoring of the spatial distribution and year-classes abundance of the demersal species, i.e. cod (Gadus morhua), flounder (Platichthys flesus) and other flatfish (plaice - Pleuronectes platessa, turbot - Scophthalmus maximus, dab - Limanda limanda, brill - Scophthalmus rhombus) and to some extent to clupeids (sprat - Sprattus sprattus and herring - Clupea harengus) in the Baltic Sea. WGBIFS agreed in 2009, that data of all analysed fish are uploaded to the ICES Data-base of Trawl Surveys (DATRAS) to support the Baltic ecosystem analyses, taking into consideration ICES subdivisions and rectangles codes. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2559", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2559", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2559", "url": "https:\/\/hdl.handle.net\/11329\/2559" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Survey protocols", "Bottom trawl", "Cod", "Plaice", "Flatfish", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/815", "name": "Performance Verification Statement for the TURNER Designs SCUFA fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the Turner Designs SCUFA fluorometer evaluated in the laboratory and under diverse field conditions to in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.turnerdesigns.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/815", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/815", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/815", "url": "https:\/\/hdl.handle.net\/11329\/815" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/972", "name": "Science Community Engagement Best Practices : a white paper from the observatory best practices\/lessons learned series.", "description": " - Community engagement is a central component of many large science initiatives and observatories. For the purposes of this paper, community engagement refers to the engagement of other research scientists, it does not refer to the engagement of the general public or for educational purposes. This paper specifically focuses on community engagement in the context of building a strong scientific user base, supporting new research, and\/or synthesizing scientific findings across a set of questions or themes. - , - National Science Foundation - , - Unpublished - , - Non Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/972", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/972", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/972", "url": "https:\/\/hdl.handle.net\/11329\/972" }, "author": [ { "@type": "Person", "name": "Smith, Leslie M" }, { "@type": "Person", "name": "Yarincik, Kristen" }, { "@type": "Person", "name": "Kearney, Thomas D" }, { "@type": "Person", "name": "Rutherford, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership" } ], "keywords": [ "Community engagement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1536", "name": "Assessing data change in scientific datasets.", "description": " - Scientific datasets are growing rapidly and becoming critical to next\u2010generation scientific discoveries. The validity of scientific results relies on the quality of data used and data are often subject to change, for example, due to observation additions, quality assessments, or processing software updates. The effects of data change are not well understood and difficult to predict. Datasets are often repeatedly updated and recomputing derived data products quickly becomes time consuming and resource intensive and may in some cases not even be necessary, thus delaying scientific advance. Despite its importance, there is a lack of systematic approaches for best comparing data versions to quantify the changes, and ad\u2010hoc or manual processes are commonly used. In this article, we propose a novel hierarchical approach for analyzing data changes, including real\u2010time (online) and offline analyses. We employ a variety of fast\u2010to\u2010compute numerical analyses, graphical data change representations, and more resource\u2010intensive recomputations of a subset of the data product. We illustrate the application of our approach using three scientific diverse use cases, namely, satellite, cosmological, and x\u2010ray data. The results show that a variety of data change metrics should be employed to enable a comprehensive representation and qualitative evaluation of data changes. - , - Refereed - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1536", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1536", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1536", "url": "https:\/\/hdl.handle.net\/11329\/1536" }, "author": [ { "@type": "Person", "name": "M\u00fcller, Juliane" }, { "@type": "Person", "name": "Faybishenko, Boris" }, { "@type": "Person", "name": "Agarwal, Deborah" }, { "@type": "Person", "name": "Bailey, Stephen" }, { "@type": "Person", "name": "Jiang, Chongya" }, { "@type": "Person", "name": "Ryu, Youngryel" }, { "@type": "Person", "name": "Tull, Craig" }, { "@type": "Person", "name": "Ramakrishnan, Lavanya" } ], "keywords": [ "Data versions", "Scientific data change analysis", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1363", "name": "A Practical guide to the designation of ship corridors in maritime spatial planning. Work Package 4.4 [Baltic LINes].", "description": " - This practical guide has been developed by the partnership of several planning authorities in course of the Interreg project Baltic LINes. The guide is strongly related and therefore also added as annex to the Baltic LINes report \u201cIdentification of transnational planning criteria for energy and shipping in the Baltic Sea\u201d. However, the guide can also be used independently as tool for those maritime spatial planners that are looking for practical advices for the designation of ship corridors in their national sea area \u2013 irrespectively if they are from within the Baltic region or an absolutely different part of the world. The guide presents a step-wise approach summarizing the most important topics to address when designating ship corridors for maritime spatial planning (MSP). It should not be seen as the one-andonly way to develop and designate ship corridors in MSP as national planning systems vary greatly and other options may be preferable. Especially when it comes to the project level, e.g. for shipping in the vicinity of offshore wind farms, thorough risk assessments have to be conducted on a case-bycase basis. However, after reviewing different national approaches and discussing the origins of similarities and differences in a profound group of maritime spatial planners from the Baltic, this guide claims to be a good example of how to prepare the first draft of ship corridor designations in MSP for national and international consultation. Although the guide concentrates specifically on the spatial demands of the shipping sector one should not get the impression that this very sector is more important than other sectors. MSP is by definition an approach that aims to balance out different interests by following an ecosystem-based approach. Thus, the shipping sector should not gain more importance than other sectors from a planners\u2019 point of view. However, it does make sense to have a look at the spatial demands of each sector separately to be able to accomplish a solid weighing procedure at a later stage. In fact, the designation of ship corridors is often one of the first steps when drafting a MSP. So a guiding document may help to get the entire MSP process started. In best case the guide will be used by many countries that have common borders. We are convinced that using similar planning approaches in MSP will increase mutual understanding and eventually lead to greater coherence in transnational maritime spatial planning. Coherency in plans is not only a goal of the EU MSP Directive (2014) but also ensures enhanced safety at sea which in turn contributes to better environmental conditions, lower economic costs and last but not least reduces risk for the loss of human life. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1363", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1363", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1363", "url": "https:\/\/hdl.handle.net\/11329\/1363" }, "author": [ { "@type": "Person", "name": "Meyer, Nele Kristin" } ], "contributor": [ { "@type": "Organization", "name": "Bundesamt f\u00fcr Seeschifffahrt und Hydrographie" } ], "keywords": [ "Shipping lanes", "MSP", "Marine spatial planning", "Interreg", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/81", "name": "Guide to Moored Buoys and Other Ocean Data Acquisition Systems.", "description": " - Moored buoy observation; guides - , - The DBCP at its 2nd session (Geneva October 1986) noted that there was a clear requirement for a technical document on the subject of moored buoys which would both provide essential information for countries wishing to initiate a programme, as well as act as a means for sharing experiences amongst countries already active in the field. This guide provides a guide to moored buoys and other data acquisition systems. - , - COPY RECEIVED FROM WMO - check to see if NCDC has electronic copy - , - MUST BE UPDATED by DBCP - need to address new issues i.e. OceanSites, Tsunamis, TAO - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/81", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/81", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/81", "url": "https:\/\/hdl.handle.net\/11329\/81" }, "author": [ { "@type": "Person", "name": "Meindl, A." } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC Data Buoy Cooperation Panel" } ], "keywords": [ "Data buoys", "Data acquisition", "Mooring systems" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/412", "name": "Protocol and sampling design for marine diversity for the South American Research group on Coastal Ecosystems (SARCE).", "description": " - This study is aimed to be carried out in most countries of the entire South American continent. As of today, scientists from Colombia (Pacific coast), Venezuela, Trinidad and Tobago, Brazil, Argentina, Uruguay, Peru, Ecuador and Chile have agreed to participate in this project. - , - Published - , - Inclusion of protocol recommended by Frank Muller-Karger - , - Refereed - , - Current - , - Macroalgal cover and composition - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/412", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/412", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/412", "url": "https:\/\/hdl.handle.net\/11329\/412" }, "contributor": [ { "@type": "Organization", "name": "South American Research Group on Coastal Ecosystems (SARCE)" } ], "keywords": [ "Biological sampling", "Biodiversity", "Biomass", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::benthos samplers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2413", "name": "IOC Communication and Outreach Strategy for Data and Information Management (2017-2019).", "description": " - The present Communication and Outreach Strategy for Data and Information Management, also referred to in this document as the \u201cCommunication Strategy\u201d was prepared by the International Oceanographic Data and Information Exchange (IODE), an intergovernmental programme of the Intergovernmental Oceanographic Commission (IOC) of UNESCO established in 1961. The purpose of the IODE programme is to enhance marine research, exploitation and development, by facilitating the exchange of ocean data and information between participating Member States, and by meeting the needs of users for data and information products. The IODE vision is informed by the IOC Strategic Plan for Oceanographic Data and Information Management, 2017\u20132021, which identifies that: To ensure its success, the IOC Strategic Plan for Data and Information Management must achieve strong awareness, involvement, acceptance and recognition within and between IOC programmes, and with IOC partners. Efficient communication and outreach remain key elements of the Strategic Plan.' The recent IODE restructuring exercise has also highlighted that the number of international marine science related organizations is growing and there is often a perception that they have similar or overlapping objectives to IODE. It is therefore increasingly important to state clearly what IODE\u2019s unique role is, how it differs from other organizations, who its stakeholders are and how to prioritize and optimize its communication methods with each of these. IODE must work with Member States, governments, partner organizations, academia and industry, to articulate the global benefits to society and required funding to build and sustain the ocean observing data and information system. IODE must capitalize on the networks, communication outreach, and global visibility of UNESCO\u2019s IOC as its parent organization. IODE has a strong mandate for communication and outreach with a variety of stakeholders, including the general public. IODE needs to communicate regularly with its community as well as having a strategy on how to be engaged in ocean community activities, cooperate and expand its membership. This strategy document outlines a framework for communication and outreach activities for the IODE to address these needs and underpin its ability to achieve its strategic objectives; to ensure that there is recognition of its role as a lead provider in marine data and information management, training and information products; and further enhance both the IOC and IODE profiles. The IOC Communication and Outreach Strategy for Data and Information was proposed by the IOC Committee on International Oceanographic Data and Information Exchange at its 24th session, 24\u201328 March 2017, Kuala Lumpur, Malaysia and endorsed by the IOC Assembly at its 29th session, 21\u201329 June 2017. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2413", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2413", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2413", "url": "https:\/\/hdl.handle.net\/11329\/2413" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Science communication", "Administration and dimensions", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1619", "name": "Ocean Reanalyses: Recent Advances and Unsolved Challenges.", "description": " - Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations using data assimilation to give a four-dimensional description of the ocean. Metrics assessing their reliability have improved over time, allowing reanalyses to become an important tool in climate services that provide a more complete picture of the changing ocean to end users. Besides climate monitoring and research, ocean reanalyses are used to initialize sub-seasonal to multi-annual predictions, to support observational network monitoring, and to evaluate climate model simulations. These applications demand robust uncertainty estimates and fit-for-purpose assessments, achievable through sustained advances in data assimilation and coordinated inter-comparison activities. Ocean reanalyses face specific challenges: (i) dealing with intermittent or discontinued observing networks, (ii) reproducing inter-annual variability and trends of integrated diagnostics for climate monitoring, (iii) accounting for drift and bias due, e.g., to air-sea flux or ocean mixing errors, and (iv) optimizing initialization and improving performances during periods and in regions with sparse data. Other challenges such as multi-scale data assimilation to reconcile mesoscale and large-scale variability and flowdependent error characterization for rapidly evolving processes, are amplified in longterm reanalyses. The demand to extend reanalyses backward in time requires tackling all these challenges, especially in the emerging context of earth system reanalyses and coupled data assimilation. This mini-review aims at documenting recent advances from the ocean reanalysis community, discussing unsolved challenges that require sustained activities for maximizing the utility of ocean observations, supporting data rescue and advancing specific research and development requirements for reanalyses. - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1619", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1619", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1619", "url": "https:\/\/hdl.handle.net\/11329\/1619" }, "author": [ { "@type": "Person", "name": "Storto, Andrea" }, { "@type": "Person", "name": "Alvera-Azc\u00e1rate, Aida" }, { "@type": "Person", "name": "Balmaseda, Magdalena A." }, { "@type": "Person", "name": "Barth, Alexander" }, { "@type": "Person", "name": "Chevallier, Matthieu" }, { "@type": "Person", "name": "Counillon, Francois" }, { "@type": "Person", "name": "Domingues, Catia M." }, { "@type": "Person", "name": "Drevillon, Marie" }, { "@type": "Person", "name": "Drillet, Yann" }, { "@type": "Person", "name": "Forget, Ga\u00ebl" }, { "@type": "Person", "name": "Garric, Gilles" }, { "@type": "Person", "name": "Haines, Keith" }, { "@type": "Person", "name": "Hernandez, Fabrice" }, { "@type": "Person", "name": "Iovino, Doroteaciro" }, { "@type": "Person", "name": "Jackson, Laura C." }, { "@type": "Person", "name": "Lellouche, Jean-Michel" }, { "@type": "Person", "name": "Masina, Simona" }, { "@type": "Person", "name": "Mayer, Michael" }, { "@type": "Person", "name": "Oke, Peter R." }, { "@type": "Person", "name": "Penny, Stephen G." }, { "@type": "Person", "name": "Peterson, K. Andrew" }, { "@type": "Person", "name": "Yang, Chunxue" }, { "@type": "Person", "name": "Zuo, Hao" } ], "keywords": [ "Data assimilation", "Uncertainty quantification", "Observational requirements", "Historical reanalyses", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1055", "name": "OpenGIS Sensor Planning Service Application Profile for EO Sensors, Version: 0.9.5.", "description": " - This OGC Best Practice document explains how Sensor Planning Service is organised and implemented for the Earth Observation domain. The final goal being to agree to a coherent set of interfaces for sending a programming request for EO products to support access to data from heterogeneous systems dealing with derived data products from satellite based measurements of the earth\u201fs surface and environment. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1055", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1055", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1055", "url": "https:\/\/hdl.handle.net\/11329\/1055" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Sensor Planning Service", "Earth observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2218", "name": "A two-part seabed geomorphology classification scheme. Part 2: Geomorphology classification framework and glossary - Version 1.0. [ENDORSED PRACTICE]", "description": " - Maps of seabed geomorphology provide foundational information for a broad range of marine applications. These maps rely on bathymetry data from which geomorphic units can be identified, supported by knowledge of the geological setting and\/or processes. Bathymetry data are becoming more widely available thanks to several key global initiatives, notably the Seabed 2030 project, United Nations Sustainable Development Goals and UN Ocean Decade, together with global recognition of the value of the Blue Economy. To contribute most effectively to supporting these global efforts, geomorphic characterisation of the seabed requires standardised multi-scalar and interjurisdictional approaches that can be applied locally, regionally and internationally based on the best available data. An ongoing collaboration between geoscience agencies in the United Kingdom (British Geological Survey), Norway (Geological Survey of Norway), Ireland (Geological Survey Ireland and University College Cork) and Australia (Geoscience Australia) has focused on developing a new standardised approach to meet this need. Dove et al., (2016) initially described a two-part approach for mapping the geomorphology of the seabed. Part 1 is intended to guide the mapping of the seabed surface shape (Morphology), and Part 2 is intended to classify these shapes with their geomorphic interpretation. \uf0b7 Part 1 (Morphology: Dove et al., 2020) is available as an open access glossary. It contains an illustrated list of terms and definitions that primarily draw on the well-established International Hydrographic Organization standard. Morphology maps can be created by applying Part 1 Morphological terms to bathymetry data. \uf0b7 Part 2 (Geomorphology) is described in this report. Geomorphic units are structured within geomorphic Settings and Processes and (consistent with Part 1) these terms are primarily sourced from established literature. The application of this second mapping step requires further seabed data and\/or contextual information and expert judgement, and is intended to constrain the uncertainty that is inherent to subsurface interpretation to this step. This document describes and illustrates the structuring of established geomorphic terminology into eleven geomorphic Settings and related Processes that drive the formation, modification and preservation of geomorphic units along the coast and at the seabed. Unit terms and Settings\/Processes have been selected and structured to balance established terminology with the need for consistency between the broad range of included geomorphologies. This document also presents a glossary defining 406 units that are structured within the Part 2 Geomorphology classification system, and lists the applied insights that can be gained by mapping each unit. This two-part approach is not intended to replace discipline-specific classification systems (e.g. ecological, geological). Rather, it is intended to support consistent classification of seabed geomorphology for uptake and ingestion by multiple discipline-specific end-users and their classification systems. Translations between this Part 2 Geomorphology approach and several other key classifications are described herein. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Reports with methodological relevance - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2218", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2218", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2218", "url": "https:\/\/hdl.handle.net\/11329\/2218" }, "author": [ { "@type": "Person", "name": "Nanson, Rachel" }, { "@type": "Person", "name": "Arosio, Riccardo" }, { "@type": "Person", "name": "Gafeira, Joana" }, { "@type": "Person", "name": "McNeil, Mardi" }, { "@type": "Person", "name": "Dove, Dayton" }, { "@type": "Person", "name": "Bjarnad\u00f3ttir, Lilja" }, { "@type": "Person", "name": "Dolan, Margaret" }, { "@type": "Person", "name": "Guinan, Janine" }, { "@type": "Person", "name": "Post, Alix" }, { "@type": "Person", "name": "Webb, John" }, { "@type": "Person", "name": "Nichol, Scott" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Austrlalia on behalf of the International Seabed Geomorphology Mapping Working Group (ISGM)" } ], "keywords": [ "Terminology", "Vocabularies", "Seabed geomorphology", "Classification", "Undersea features", "Glossary", "Geochronology and stratigraphy", "Field geophysics", "Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/707", "name": "Protocol for measuring dioxin-like activity in environmental sample using in vitro reporter gene dr-luc assays.", "description": " - Guidelines are given for the quantification of the dioxin-like activities of contaminants in sediment, biota and water samples using the DR-Luc reporter gene bioassay. Dioxins and dioxin-like compounds demonstrate high affinity binding to the Aryl hydrocarbon Receptor (AhR). Ah-R is a ligand-activated transcription factor and mediates most, if not all, of the toxic responses of polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), coplanar polychlorinated biphenyls (PCBs), and polybrominated biphenyls (PBBs). The DR-Luc bioassay, or DR-CALUX\u00ae (Dioxin Response Chemical Activated LUciferase gene eXpression), utilizes a recombinant rat hepatoma H4IIE cell line with a stably integrated AhR- responsive luciferase reporter gene. Exposure of this bioassay to extracts containing dioxin-like compounds induces the enzyme luciferase in a time, dose, and chemical specific manner. Cells are cultured in the laboratory and transferred to 96-well plates. Luciferase activity is determined by measuring the light emitted, which is directly proportional to the amount of dioxin-like compounds within the test extract. Hence the DR-Luc assay is a rapid, extremely sensitive and cost-effective tool for screening sediment, biota, and water extracts for dioxins and dioxin-like compounds. The DR- Luc assay is recommended in the OSPAR JAMP guidelines as a specific biological effect method for monitoring of PCBs, polychlorinated dibenzodioxins and furans, and also as a suitable biological effect method for general biological effect monitoring. In addition, DR-Luc analysis has proven to be a very powerful tool in emission source monitoring and remediation efforts as it allows for the identification and control of the toxic compounds concerned. Critical steps, such as the extraction of sediment or biota samples and subsequent clean-up of the extracts are discussed, followed by descriptions of the DR-Luc detection technique. Emphasis is placed on analytical quality control and quality assurance. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/707", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/707", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/707", "url": "https:\/\/hdl.handle.net\/11329\/707" }, "author": [ { "@type": "Person", "name": "Schipper, Cor A." }, { "@type": "Person", "name": "Leonards, Pim E. G." }, { "@type": "Person", "name": "Klamer, Hans J. C." }, { "@type": "Person", "name": "Thomas, Kevin V." }, { "@type": "Person", "name": "Vethaak, Andre D." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1845", "name": "INTERACT Reducing the Environmental Impacts of Arctic Fieldwork.", "description": " - The environmental impacts of fieldwork at and around research stations may be small in comparison to the impacts of all other human activities and in relation to the often vast and remote areas in which the fieldwork takes place. However, fieldwork most likely have both global and local impacts. Examples of these are different means of transport emitting greenhouse gasses and other substances contributing to global Climate Change and pollution, while the fieldwork itself often impacts the local environment. In remote parts of North America, Greenland and Russia, the impacts of research might in fact in some areas be the most important local anthropogenic influence, e.g. in terms of damage to vegetation, erosion, disturbance to wildlife, emissions, waste disposal, nutrient enrichment, etc. The impacts of fieldwork is not only an environmental issue but may also influence other current or future scientific studies. Researchers should therefore aim to minimise the Climate Change contributions and all other environmental impacts of their science activities.The INTERACT Reducing the Environmental Impacts of Arctic Fieldwork guidebook contains recommendations on how arctic scientists can reduce their contribution to Climate Change and other environmental impacts. The guidebook has been written in close cooperation with station managers of arctic and northern alpine and boreal research stations with the purpose of sharing their knowledge and best practices. The target groups for the book are scientists and other visitors to research stations in cold regions. However, the book can also be used by scientists doing research outside research stations. The guidebook has thematic chapters describing different environmental considerations related to the fieldwork planning, the transport to and from the research site, staying at a research station and working in the field. Additional information on fieldwork planning can be found in the INTERACT Fieldwork Planning Handbook and the INTERACT Fieldwork Communication and Navigation guidebook. The INTERACT Practical Field Guide also contains comprehensive information on how to prepare, plan and carry out fieldwork in the Arctic. - , - European Union Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1845", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1845", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1845", "url": "https:\/\/hdl.handle.net\/11329\/1845" }, "author": [ { "@type": "Person", "name": "Frendrup, Laura L\u00f8nstrup" }, { "@type": "Person", "name": "Rasch, Morten" }, { "@type": "Person", "name": "Topp-J\u00f8rgensen, Elmer" }, { "@type": "Person", "name": "Arndal, Marie Frost" } ], "contributor": [ { "@type": "Organization", "name": "Aarhus University, DCE \u2013 Danish Centre for Environment and Energy" } ], "keywords": [ "Fieldwork", "Environmental effects", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1223", "name": "Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks.", "description": " - This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing OS-Eval methodologies, and attempts to discuss the potential and limitation of the existing approaches. Observing System Experiment (OSE) studies illustrate the impacts of the severe decrease in the number of TAO buoys during 2012\u20132014 and TRITON buoys since 2013 on ODAP system performance. Multi-system evaluation of the impacts of assimilating satellite sea surface salinity data based on OSEs has been performed to demonstrate the need to continue and enhance satellite salinity missions. Impacts of underwater gliders have been assessed using Observing SystemSimulation Experiments (OSSEs) to provide guidance on the effective coordination of the western North Atlantic observing system elements. OSSEs are also being performed under H2020 AtlantOS project with the goal to enhance and optimize the Atlantic in-situ networks. Potential of future satellite missions of wide-swath altimetry and surface ocean currents monitoring is explored through OSSEs and evaluation of Degrees of Freedomfor Signal (DFS). Forecast Sensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the ocean observation impacts in the US Navy\u2019s ODAP system. Perspectives on the extension of OS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation, and biogeochemical applications are also presented. Based on the examples above, we identify the limitations of OS-Eval, indicating that the most significant limitation is reduction of robustness and reliability of the results due to their system-dependency. The difficulty of performing evaluation in near real time is also critical. A strategy to mitigate the limitation and to strengthen the impact of evaluations is discussed. In particular, we emphasize the importance of collaboration within the ODAP community for multi-system evaluation and of communication with ocean observational communities on the design of OS-Eval, required resources, and effective distribution of the results. Finally, we recommend further developing OS-Eval activities at international level with the support of the international ODAP (e.g., OceanPredict and CLIVAR-GSOP) and observational communities. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1223", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1223", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1223", "url": "https:\/\/hdl.handle.net\/11329\/1223" }, "author": [ { "@type": "Person", "name": "Fujii, Y." }, { "@type": "Person", "name": "R\u00e9my, E." }, { "@type": "Person", "name": "Zuo, H." }, { "@type": "Person", "name": "Oke, P." }, { "@type": "Person", "name": "Halliwell, G." }, { "@type": "Person", "name": "Gasparin, F." }, { "@type": "Person", "name": "Benkiran, M." }, { "@type": "Person", "name": "Loose, N." }, { "@type": "Person", "name": "Cummings, J." }, { "@type": "Person", "name": "Xie, J." }, { "@type": "Person", "name": "Xue, Y." }, { "@type": "Person", "name": "Masuda, S." }, { "@type": "Person", "name": "Smith, G.C." }, { "@type": "Person", "name": "Balmaseda, M." }, { "@type": "Person", "name": "Germineaud, C." }, { "@type": "Person", "name": "Lea, D.J." }, { "@type": "Person", "name": "Larnicol, G." }, { "@type": "Person", "name": "Bertino, L." }, { "@type": "Person", "name": "Bonaduce, A." }, { "@type": "Person", "name": "Brasseur, P." }, { "@type": "Person", "name": "Donlon, C." }, { "@type": "Person", "name": "Heimbach, P." }, { "@type": "Person", "name": "Kim, Y." }, { "@type": "Person", "name": "Kourafalou, V." }, { "@type": "Person", "name": "Le Traon, P-Y." }, { "@type": "Person", "name": "Martin, M." }, { "@type": "Person", "name": "Paturi, S." }, { "@type": "Person", "name": "Tranchant, B." }, { "@type": "Person", "name": "Usui, N." } ], "keywords": [ "Observing system evaluation", "Data assimilation", "Ocean prediction", "OSSE (Observing System Simulation Experiment)", "GODAE OceanView", "OceanPredict", "CLIVAR-GSOP", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1901", "name": "Citizen science for monitoring seasonal\u2011scale beach erosion and behaviour with aerial drones.", "description": " - Sandy beaches are highly dynamic systems which provide natural protection from the impact of waves to coastal communities. With coastal erosion hazards predicted to increase globally, data to inform decision making on erosion mitigation and adaptation strategies is becoming critical. However, multitemporal topographic data over wide geographical areas is expensive and time consuming and often requires highly trained professionals. In this study we demonstrate a novel approach combining citizen science with low-cost unmanned aerial vehicles that reliably produces survey-grade morphological data able to model sediment dynamics from event to annual scales. The high-energy wave-dominated coast of south-eastern Australia, in Victoria, is used as a field laboratory to test the reliability of our protocol and develop a set of indices to study multi-scale erosional dynamics. We found that citizen scientists provide unbiased data as accurate as professional researchers. We then observed that open-ocean beaches mobilise three times as much sediment as embayed beaches and distinguished between slowed and accelerated erosional modes. The data was also able to assess the efficiency of sand nourishment for shore protection. Our citizen science protocol provides high quality monitoring capabilities, which although subject to important legislative preconditions, it is applicable in other parts of the world and transferable to other landscape systems where the understanding of sediment dynamics is critical for management of natural or anthropogenic processes. - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Aerial drones - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1901", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1901", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1901", "url": "https:\/\/hdl.handle.net\/11329\/1901" }, "author": [ { "@type": "Person", "name": "Pucino, Nicolas" }, { "@type": "Person", "name": "Kennedy, David M." }, { "@type": "Person", "name": "Carvalho, Rafael C." }, { "@type": "Person", "name": "Allan, Blake" }, { "@type": "Person", "name": "Ierodiaconou, Daniel" } ], "keywords": [ "Drone", "Beach erosion", "Sand nourishment", "Shore protection", "Coastal erosion", "Citizen science", "Sedimentation and erosion processes", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2624", "name": "The shallow underwater forests of Cystoseira s.l. in the Balearic Islands.", "description": " - The forests composed of Cystoseira sensu lato (hereinafter Cystoseira s.l.) are largely unknown, even though they are very common habitats on our coasts and provide important services to society. Unfortunately, these habitats are very vulnerable to human activities, which lead to their degradation and even extinction on many Mediterranean coasts. We have created this guide to raise awareness of the importance of these underwater forests and to provide basic tools for the identification of the main species that dominate them, thus promoting their conservation. Faced with the general decline of natural ecosystems and the urgency to restore a new balance, the UN has declared this decade as the decade of \u201cEcosystem Restoration (2021-2030)\u201d. In response to this demand, the second mission of this document is to provide a useful guide based on the most recent scientific information, in order to support organizations, private and public, in carrying out conservation and restoration actions of these habitats that offer certain guarantees for long-term success. - , - Marilles Foundation and Cleanwave Foundation - , - Published - , - Refereed - , - SPANISH VERSION >>>Los bosques de Cystoseira sensu lato son unos (en adelante Cystoseira s.l.) grandes desconocidos, aun y ser h\u00e1bitats muy comunes en nuestras costas y proporcionar importantes servicios a la sociedad. Desgraciadamente estos h\u00e1bitats son muy vulnerables a las actividades humanas lo que conlleva su degradaci\u00f3n y hasta extinci\u00f3n en muchas costas del Mediterr\u00e1neo. Hemos creado esta gu\u00eda para dar a conocer la importancia de estos bosques sumergidos y proporcionar herramientas b\u00e1sicas para la identificaci\u00f3n de las principales especies que los dominan y as\u00ed promover su conservaci\u00f3n. Asimismo, frente al declive generalizado de los ecosistemas naturales y la urgencia en restablecer un nuevo equilibrio, la ONU ha declarado esta d\u00e9 cada como la d\u00e9cada de la \u201cRestauraci\u00f3n de ecosistemas (2021-2030)\u201d. En respuesta a esta demanda, la segunda misi\u00f3n de esta gu\u00eda, es la de proporcionar una gu\u00eda \u00fatil basada en la informaci\u00f3n cient\u00edfica m\u00e1s reciente, con el fin de ayudar a las entidades, administraciones, para realizar acciones de conservaci\u00f3n y restauraci\u00f3n de estos h\u00e1bitats que ofrezcan ciertas garant\u00edas de \u00e9xito a largo plazo. - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Pilot or Demonstrated - , - Taxonomic\/phylogenetic diversity - , - Marine Habitats - , - N\/A - , - Specification of criteria - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2624", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2624", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2624", "url": "https:\/\/hdl.handle.net\/11329\/2624" }, "author": [ { "@type": "Person", "name": "Benjumea, Tat\u00ed" }, { "@type": "Person", "name": "Royo, Laura" }, { "@type": "Person", "name": "Esca\u00f1o, Jose" }, { "@type": "Person", "name": "Tomas, Fiona" } ], "contributor": [ { "@type": "Organization", "name": "MedGardens - Cleanwave Foundation" } ], "keywords": [ "Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1123", "name": "GML in JPEG 2000 for Geographic Imagery (GMLJP2) Encoding Specification. Version 1.0.0.", "description": " - The OpenGIS\u00ae GML in JPEG 2000 for Geographic Imagery Encoding Standard defines the means by which the OpenGIS\u00ae Geography Markup Language (GML) Standard http:\/\/www.opengeospatial.org\/standards\/gml is used within JPEG 2000 http:\/\/www.jpeg.org\/jpeg2000\/ images for geographic imagery. The standard also provides packaging mechanisms for including GML within JPEG 2000 data files and specific GML application schemas to support the encoding of images within JPEG 2000 data files. JPEG 2000 is a wavelet-based image compression standard that provides the ability to include XML data for description of the image within the JPEG 2000 data file. See also the GML pages on OGC Network: http:\/\/www.ogcnetwo... - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1123", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1123", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1123", "url": "https:\/\/hdl.handle.net\/11329\/1123" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "OpenGIS", "Encoding Specification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/210", "name": "MIM Publication Series Volume 4. Standard library directory record structure.", "description": " - In this manual a Standard Library Directory Record Structure is proposed, for use in the preparation of databases of libraries and information centres. The structure is designed to be, as far as is possible, independent of the software used. Provision is made for additional fields for local needs. The structure incorporates the section of the Standard Directory Record Structure for organizations, individuals and their research interests which deals with organizations. (MIM Publication Series Volume 4). - , - Published - , - Library directory - , - Document available in English - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/210", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/210", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/210", "url": "https:\/\/hdl.handle.net\/11329\/210" }, "author": [ { "@type": "Person", "name": "Moulder, D.S." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Databases", "Information management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1913", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report. Temperature Records. Version 2.0. 2006-2020.", "description": " - This report details the quality control applied to the temperature data collected from the Southern Ocean Time Series (SOTS) moorings between 2006 and 2020. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Subsurface Temperature - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1913", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1913", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1913", "url": "https:\/\/hdl.handle.net\/11329\/1913" }, "author": [ { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Shadwick, Elizabeth H." }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Water column temperature and salinity", "water temperature sensor", "Data quality control", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1098", "name": "OGC RESTful encoding of OGC Sensor Planning Service for Earth Observation satellite Tasking.", "description": " - The scope of this Best Practice document is to describe the interfaces for providing an interoperable access to the tasking capabilities of various types of earth observation systems. The interfaces can be used for determining the feasibility of an intended sensor planning request, for submitting such a request, for inquiring about the status of such a request, for updating or cancelling such a request and for requesting information on means of obtaining the data collected by the requested task. - , - Published - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1098", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1098", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1098", "url": "https:\/\/hdl.handle.net\/11329\/1098" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Earth Observations", "Sensor Planning Service" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1812", "name": "SIPCO2: A simple, inexpensive surface water pCO2 sensor.", "description": " - Efforts to estimate air-water carbon dioxide (CO2) exchange on regional or global scales are constrained by a lack of direct, continuous surface water CO2 observations. Sensor technology for the in situ measurement of the partial pressure of carbon dioxide (pCO2) has progressed, but still poses limitations including expense and biofouling concerns. We describe a simple, inexpensive, in situ pCO2 method (SIPCO2) in which a non-dispersive infrared (NDIR) detector is paired with an air pump in an enclosed housing to produce air-sea equilibration. We first evaluated this approach in a laboratory setting, then in an estuarine-coastal ocean laboratory for several months to continuously monitor aquatic pCO2. An accepted, accurate NDIR-based CO2 measurement technique was employed alongside SIPCO2 to provide an assessment of sensor performance. SIPCO2 allows for lowcost, relatively accurate measurements of pCO2 (mean difference of 2565 latm from validation system after laboratory calibration) without reagents or membranes, and can be assembled and operated with a minimal amount of technical skill. While not suitable for some exacting applications, this SIPCO2 approach could rapidly and effectively increase the number of quality CO2 observations in a range of aquatic environments. We also provide detailed instructions for the assembly of SIPCO2 from commercially available components. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - SIPCO2 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1812", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1812", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1812", "url": "https:\/\/hdl.handle.net\/11329\/1812" }, "author": [ { "@type": "Person", "name": "Hunt, Christopher W." }, { "@type": "Person", "name": "Snyder, Lisle" }, { "@type": "Person", "name": "Salisbury, Joseph E." }, { "@type": "Person", "name": "Vandemark, Douglas" }, { "@type": "Person", "name": "McDowell, William H." } ], "keywords": [ "pCO2 sensor", "Carbonate system", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/739", "name": "Performance Verification Statement for Onset\u2019s HOBO U26 Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et.al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the performance results of Onset\u2019s HOBO U26 Dissolved Oxygen Logger using the RDO\u00ae Basic Technology developed by In-Situ, Inc. Instrument accuracy and precision for the HOBO U26 was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the HOBO U26 and reference measurement ranged from 0.047 to 0.314 mg\/L over all nine trials. There was a slight decrease in the magnitude of the differences with increase of both temperature and salinity levels. A linear regression of instrument and reference measurements for all trials combined (n=358; r2 = 1.00; p<0.0001) produced a slope of 1.037 and intercept of -0.084. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.003 \u2013 0.013 mg\/L across trials with an overall average of 0.006 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.036 \u2013 0.268 percent across trials with an overall average of 0.074%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The overall mean of differences between instrument and reference measurements was 0.041 (s.d. = 0.339) mg\/L for 154 comparisons (out of a potential total of 156). A regression of measurement difference over time showed a minor drift in response with a slope of -0.004 mg\/L\/d (r2 = 0.049; p=0.006). But if two large negative responses near the end of the test are omitted the regression is not significant . A functional response time test was conducted by examining instrument response when rapidly transitioning between adjacent high (9.6 mg\/L) and low (2.0 mg\/L) DO water baths, maintained commonly at 15 oC. The calculated \u03c490 was 27 s during high to low transitions and 26 s for low to high transitions covering the 8 mg\/L DO range. At Houghton, MI a field deployment test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The HOBO U26 operated successfully throughout the entire 15week deployment and generated 9859 observations based on its 15 minute sampling interval for a data completion result of 100%. The average and standard deviation of the measurement difference over the total deployment was 0.855 \u00b1 0.116 mg\/L with a total range of 0.533 to 1.030 mg\/L. The drift rate of instrument offset, estimated by linear regression (r2=0.73; p<0.0001), was 0.003 mg\/L\/d. This rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.98; p<0.0001) produced a slope of 0.855 and intercept of 2.64 indicating mostly an initial calibration offset. At Chesapeake Biological Lab, a field deployment test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The HOBO U26 generated 7270 observations over the 11 week deployment, however, only 5314 of the measurements were considered acceptable based on values that were less than 2 mg\/L from any reference sample over a similar timeframe for a data completion result of 73%. The average and standard deviation of the difference between instrument and reference measurements for the deployment was -0.211 \u00b10.860 mg\/L, with the total range of differences between -1.85 to 0.94 mg\/L. The calculated drift rate in instrument response for the entire deployment period using the accepted data was -0.079 mg\/L\/d (r2 = 0.77; p<0.001). A linear regression of all data from the first month (r2 = 0.262; p<0.001) produced a slope of 0.594 and intercept of 2.93. The high variability indicate that biofouling impacts were likely present along with an initial calibration offset. At Kaneohe Bay, HI a field deployment test was conducted over 121 days with a mean temperature and salinity of 25.8 and 33.4 oC. The HOBO U26 reported 11296 observations based on its 15 minute sampling interval, however, only 11179 of the measurements were considered acceptable based on excluded values that were more than 2 mg\/L from reference samples over a similar timeframe, for a data completion result of 99%. The average and standard deviation of the differences between instrument and reference readings (limited to \u00b1 2.0 mg\/L DO; n=107 of 129 potential observations) were 0.090 \u00b1 .576 mg\/L, with a total range in the differences of -1.195 to 1.808 mg\/L. There was a small, but statistically significant, drift in instrument offset (slope = 0.009 mg\/L\/d; r2 = 0.18; p=0.009) throughout the deployment period but the scatter resulted in a very low goodness of fit in the regression. This rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements (r2 = 0.550; p<0.0001)) for the first month of data had a slope of 1.595 and intercept of -3.102. Overall, the response of the HOBO U26 RDO sensor during field testing showed good linearity across all three salinity ranges including freshwater, brackish water, and oceanic water. The response curves were generally consistent across the concentration ranges observed within each test site (although more variable at CBL) and relatively consistent over the wide range of DO conditions (4 - 14 mg\/L) across sites. A linear regression of the combined one-month field deployment measurements (r2 = 0.94; p<0.0001)) had a slope of 1.106 and intercept of -0.895. The HOBO U26 was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience transitions from surface waters into both normoxic and hypoxic hypolimnion. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the third sample, the rosette was quickly profiled into the hypolimnion where samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. For Muskegon Lake, the range in measurement differences between instrument and reference was -0.15 to 1.78 mg\/L for cast 2 and - 0.92 to -0.17 mg\/L for cast 3 (cast 1 was aborted and redone as cast 3. For Lake Michigan, the range in measurement differences was -3.03 to 0.40 mg\/L for cast 1 and -0.81 to 3.05 mg\/L for cast 2. The equilibration rate of the sensor differed across each of the profiles with no obvious trend across temperature or DO levels. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/739", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/739", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/739", "url": "https:\/\/hdl.handle.net\/11329\/739" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/968", "name": "Genomics in marine monitoring: New opportunities for assessing marine health status.", "description": " - This viewpoint paper explores the potential of genomics technology to provide accurate, rapid, and cost efficient observations of the marine environment. The use of such approaches in next generation marine monitoring programs will help achieve the goals of marine legislation implemented world-wide. Genomic methods can yield faster results from monitoring, easier and more reliable taxonomic identification, as well as quicker and better assessment of the environmental status of marine waters. A summary of genomic methods that are ready or show high potential for integration into existing monitoring programs is provided (e.g. qPCR, SNP based methods, DNA barcoding, microarrays, metagenetics, metagenomics, transcriptomics). These approaches are mapped to existing indicators and descriptors and a series of case studies is presented to assess the cost and added value of these molecular techniques in comparison with traditional monitoring systems. Finally, guidelines and recommendations are suggested for how such methods can enter marine monitoring programs in a standardized manner. - , - Citation Metrics : https:\/\/plu.mx\/plum\/a\/?doi=10.1016\/j.marpolbul.2013.05.042&theme=plum-sciencedirect-theme&hideUsage=true - , - Refereed - , - 14.A - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/968", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/968", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/968", "url": "https:\/\/hdl.handle.net\/11329\/968" }, "author": [ { "@type": "Person", "name": "Bourlat, Sarah J." }, { "@type": "Person", "name": "Borja, Angel" }, { "@type": "Person", "name": "Gilbert, Jack" }, { "@type": "Person", "name": "Taylor, Martin I." }, { "@type": "Person", "name": "Davies, Neil" }, { "@type": "Person", "name": "Weisberg, Stephen B." }, { "@type": "Person", "name": "Griffith, John F." }, { "@type": "Person", "name": "Lettieri, Teresa" }, { "@type": "Person", "name": "Field, Dawn" }, { "@type": "Person", "name": "Benzie, John" }, { "@type": "Person", "name": "Gl\u00f6ckner, Frank Oliver" }, { "@type": "Person", "name": "Rodr\u00edguez-Ezpeleta, Naiara" }, { "@type": "Person", "name": "Faith, Daniel P." }, { "@type": "Person", "name": "Bean, Tim P." }, { "@type": "Person", "name": "Obst, Matthias" } ], "keywords": [ "Marine monitoring", "Marine health status", "Genomics", "Innovative monitoring methods", "Inidcators", "Genomic observatories", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2020", "name": "Guidelines for Sea-Based Measures to Manage Internal Nutrient Reserves in the Baltic Sea Region.", "description": " - The aim of these guidelines is to provide guidance for researchers planning to undertake research projects and for operators and environmental managers planning to implement activities designed to reduce the negative impacts caused by the internal nutrient reserves in the Baltic Sea. The guidelines also provide decision support for relevant authorities when administering consultations and environmental permitting related to sea-based measures. In this context, the guidelines are intended to provide additional information to national and international decision making. They should also encourage the exchange of information and the development of a shared knowledge pool describing sea-based measures to manage internal nutrient reserves for the benefit of HELCOM Contracting Parties and beyond. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2020", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2020", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2020", "url": "https:\/\/hdl.handle.net\/11329\/2020" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/845", "name": "UNOLS Research Vessel Safety Standards, 10th Edition, July 2015.", "description": " - The UNOLS Research Vessel Safety Standards (RVSS) are the standards for the operation of oceanographic research vessels owned, operated or chartered by members of the University-National Oceanographic Laboratory System (UNOLS), to assure that research at sea is conducted to the highest practicable standards of safety. Full compliance is a requirement to maintain status as a UNOLS designated research vessel. UNOLS member institutions who operated other vessels or small boats which are not designated as UNOLS vessels are encouraged to comply and should adhere to the requirements of Chapter 18, \u201cChartering of Non-Institution Vessels. These standards are based in major part on applicable laws and regulations. In addition and where appropriate, they supplement, extend, and assist in the interpretation of the legal requirements. Nothing herein is intended to conflict with the legal standards, but rather to encourage and assist the operator to not only meet, but also exceed the legal minimums, as practical. It is recognized that the wide variety of vessel types and sizes, and their diverse operational usage will necessarily lead to many discretionary interpretations. In such cases, a common-sense application of the principles of good seamanship and sound marine engineering practice will be more effective than attempting to cover all conceivable cases. The UNOLS Research Vessel Operators\u2019 Committee (RVOC) and the UNOLS Research Vessel Technical Enhancement Committee (RVTEC) are available to assist operating institutions by providing reference materials, and interpreting the laws, regulations and standards. Operators are reminded that in addition to the legal responsibilities and liabilities associated with Federal laws and regulations, and maritime law, safe operation is one of the factors used by Federal science sponsors in evaluating the merit of a ship as a research platform. These standards do not apply to research submersibles, which are covered by a different, and detailed, set of regulations, however a chapter on handling research submersibles from UNOLS vessels is covered in these standards. Recognizing that research vessels and ocean research in general should be at the forefront of maritime safety, research vessel operators should take every opportunity to participate in innovative research, procedures, and equipment operation to enhance the practice of safety at sea. Institutions are strongly encouraged to make available \u201cCruise Handbooks\u201d or \u201cUser Manuals\u201c incorporating important parts of these standards, plus additional information on their particular ships and any pertinent institutional regulations or procedures. This document deals solely with safety standards for craft engaged in oceanographic or limnological research, or related instruction. For the purposes of this document the adjective \u201cResearch Vessel\u201d applies to the terms ship, vessel, boat, or motorboat. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/845", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/845", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/845", "url": "https:\/\/hdl.handle.net\/11329\/845" }, "contributor": [ { "@type": "Organization", "name": "University-National Oceanographic Laboratory System (UNOLS)" } ], "keywords": [ "Research Vessels", "UNOLS", "Cruise safety standards" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1057", "name": "OpenGIS Web Map Services - Profile for EO Products, Version:0.3.3.", "description": " - The WMS configuration proposed in this profile is intended to support the interactive visualization and evaluation of Earth Observation (EO) data products. The profile describes a consistent Web Map Server (WMS) configuration that can be supported by any content providers (satellite operators, data distributors \u2026), most of whom have existing (and relatively complex) facilities for the management of these content. In addition, this profile is intended to compliment the EO Products Extension Package for ebRIM Profile of CSW 2.0 (OGC 06-131) by showing how WMS servers may be - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1057", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1057", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1057", "url": "https:\/\/hdl.handle.net\/11329\/1057" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Geographical Information Systems", "Earth Observations", "Map services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2303", "name": "Guidelines on Cost Estimation of Research Infrastructures.", "description": " - These guidelines are developed in the framework of the StR-ESFRI project (Support to Reinforce the European Strategy Forum for Research Infrastructures), to provide a conceptual and methodological tool for cost estimation of Research Infrastructures (RIs) included (or willing to be) in the ESFRI Roadmap. The report provides a unified framework to gather data concerning costs along life cycle of RIs in a harmonized way. It illustrates general principles and suggests technical solutions when data seem not immediately available or difficult to estimate. It also takes into account the specificities of different typologies of RIs, which are active in different research domains and adopt different accounting systems. The main audience of these guidelines is RI senior managers who are responsible for financial planning and long-term sustainability of the RI; however, some technical expertise may be needed to implement the methodology (e.g. head of finance). The common cost accounting methodology presented in these guidelines is based on the best international practice in the field of infrastructure project appraisal, allowing comparability across different types of RIs, countries and scientific fields and it is inspired by solid principles leading to univocally interpretable results. - , - European Union\u2019s Horizon 2020 Research & Innovation programme under grant agreements n\u00b0 654213 and n\u00b0 823711. - , - Published - , - Current - , - Mature - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2303", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2303", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2303", "url": "https:\/\/hdl.handle.net\/11329\/2303" }, "contributor": [ { "@type": "Organization", "name": "Support to Reinforce the European Strategy Forum on Research Infrastructures (StR-ESFRI)" } ], "keywords": [ "Research Infrastructures", "Cost estimation", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/822", "name": "An intercomparison of oceanic methane and nitrous oxide measurements.", "description": " - Large-scale climatic forcing is impacting oceanic biogeochemical cycles and is expected to influence the water-column distribution of trace gases, including methane and nitrous oxide. Our ability as a scientific community to evaluate changes in the water-column inventories of methane and nitrous oxide depends largely on our capacity to obtain robust and accurate concentration measurements that can be validated across different laboratory groups. This study represents the first formal international intercomparison of oceanic methane and nitrous oxide measurements whereby participating laboratories received batches of seawater samples from the subtropical Pacific Ocean and the Baltic Sea. Additionally, compressed gas standards from the same calibration scale were distributed to the majority of participating laboratories to improve the analytical accuracy of the gas measurements. The computations used by each laboratory to derive the dissolved gas concentrations were also evaluated for inconsistencies (e.g., pressure and temperature corrections, solubility constants). The results from the intercomparison and intercalibration provided invaluable insights into methane and nitrous oxide measurements. It was observed that analyses of seawater samples with the lowest concentrations of methane and nitrous oxide had the lowest precisions. In comparison, while the analytical precision for samples with the highest concentrations of trace gases was better, the variability between the different laboratories was higher: 36\u2009% for methane and 27\u2009% for nitrous oxide. In addition, the comparison of different batches of seawater samples with methane and nitrous oxide concentrations that ranged over an order of magnitude revealed the ramifications of different calibration procedures for each trace gas. Finally, this study builds upon the intercomparison results to develop recommendations for improving oceanic methane and nitrous oxide measurements, with the aim of precluding future analytical discrepancies between laboratories. - , - Refereed - , - 14.2 - , - Nitrous oxide - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/822", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/822", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/822", "url": "https:\/\/hdl.handle.net\/11329\/822" }, "author": [ { "@type": "Person", "name": "Wilson, Samuel T." }, { "@type": "Person", "name": "Bange, Hermann W." }, { "@type": "Person", "name": "Ar\u00e9valo-Mart\u00ednez, Damian L." }, { "@type": "Person", "name": "Barnes, Jonathan" }, { "@type": "Person", "name": "Borges, Alberto V." }, { "@type": "Person", "name": "Brown, Ian" }, { "@type": "Person", "name": "Bullister, John L." }, { "@type": "Person", "name": "Burgos, Macarena" }, { "@type": "Person", "name": "Capelle, David W." }, { "@type": "Person", "name": "Casso, Michael" }, { "@type": "Person", "name": "de la Paz, Mercedes" }, { "@type": "Person", "name": "Far\u00edas, Laura" }, { "@type": "Person", "name": "Fenwick, Lindsay" }, { "@type": "Person", "name": "Ferr\u00f3n, Sara" }, { "@type": "Person", "name": "Garcia, Gerardo" }, { "@type": "Person", "name": "Glockzin, Michael" }, { "@type": "Person", "name": "Karl, David M." }, { "@type": "Person", "name": "Kock, Annette" }, { "@type": "Person", "name": "Laperriere, Sarah" }, { "@type": "Person", "name": "Law, Cliff S." }, { "@type": "Person", "name": "Manning, Cara C." }, { "@type": "Person", "name": "Marriner, Andrew" }, { "@type": "Person", "name": "Myllykangas, Jukka-Pekka" }, { "@type": "Person", "name": "Pohlman, John W." }, { "@type": "Person", "name": "Rees, Andrew P." }, { "@type": "Person", "name": "Santoro, Alyson E." }, { "@type": "Person", "name": "Tortell, Philippe D." }, { "@type": "Person", "name": "Upstill-Goddard, Robert C." }, { "@type": "Person", "name": "Wisegarver, David P." }, { "@type": "Person", "name": "Zhang, Gui-Ling" }, { "@type": "Person", "name": "Rehder, Gregor" } ], "keywords": [ "Trace gases", "Seawater analysis", "Dissolved gases", "SCOR WG 143", "Scientific Committee on Oceanic Research Working Group 143", "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1975", "name": "Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges.", "description": " - This book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a \u2018reference model guided\u2019 engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and Earth sciences. The research problems behind environmental and societal challenges such as climate change, food security, and natural disasters are intrinsically interdisciplinary. Modelling these processes individually is difficult enough, but modelling their interactions is another order of complexity entirely. Scientists are challenged to collaborate across conventional disciplinary boundaries, but must first discover and extract data dispersed across many different sources and in many different formats. Effective research support environments are needed for various user-centralised research activities, from formulating research problems to designing experiments, discovering data and services, executing workflows, and analysing then publishing the final results. Such support environments also have to manage research data during their entire lifecycle, throughout the phases of data acquisition, curation, publication, processing, and use. Moreover, support environments must support the management of underlying infrastructure resources for computing, storage, and networking. In this ecosystem, research infrastructure (RI) is an important form of supportive environment that bridges the gap between the curation of research data and user-centred scientific activity, and also between research data and the underlying physical infrastructure. It brings together facilities, resources, and services used by the scientific community to conduct research, establish best practices for science, and foster innovation. This book presents the design, development, deployment, operation, and use of research infrastructures as 20 chapters via five parts. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions. The main readers of the book will be developers, managers, operators, and potential users of research infrastructures in environmental and earth sciences. This book will provide RI data managers in environmental and earth sciences with a common ontological framework and facilities for modeling data management requirements and practical data management guidelines during entire research life-cycle. It will provide RI stakeholders with very practical case studies on RI architecture design, service interoperability, and system-level environmental research. The book can also be a textbook for training young researchers and data managers in data management skills, RI service development and operation practices, and using RIs for data-centric research. In addition to researchers and developers involved in the data for science theme, the development of the book has also been greatly supported by the project coordinator and RI partners, in particular those specialists willing to serve in the editorial board. We thank all the authors for contributing to the individual chapters, and reviewers for providing valuable feedback on the content. Without their support, this book would not have been possible. - , - Published - , - Refereed - , - Current - , - Mature - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1975", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1975", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1975", "url": "https:\/\/hdl.handle.net\/11329\/1975" }, "contributor": [ { "@type": "Organization", "name": "Springer" } ], "keywords": [ "Research infrastructures", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/675", "name": "Determination of parent and alkylated polycyclic aromatic hydrocarbons (PAHs) in biota and sediment.", "description": " - This document provides advice on the analysis of parent and alkylated polycyclic aromatic hydrocarbons (PAHs) in total sediment, sieved fractions, suspended particulate matter, and biota (shellfish). The determination of parent and alkylated PAHs in sediment and biota includes extraction with organic solvents, clean\u2010up, and analysis by gas chromatography (GC) with mass spectrometry (GC\u2010MS). Advice is given on the treatment and storage of samples. Extraction and clean\u2010up methods commonly used are described. GC\u2010MS is the only recommended method for the analysis of both parent and alkylated PAHs and advice is provided on standards and calibration. All steps in the procedure are susceptible to insufficient recovery and\/or contamination. Quality\u2010control procedures are recommended to check the performance of the method. These guidelines are intended to encourage and assist analytical chemists to reconsider their methods critically and to improve their procedures and\/or the associated quality\u2010control measures, where necessary. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/675", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/675", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/675", "url": "https:\/\/hdl.handle.net\/11329\/675" }, "author": [ { "@type": "Person", "name": "Webster, L." }, { "@type": "Person", "name": "Tronczynski, J." }, { "@type": "Person", "name": "Korytar, P." }, { "@type": "Person", "name": "Booij, K." }, { "@type": "Person", "name": "Law, R." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Polycyclic aromatic hydrocarbons", "Sediment", "Mussels", "Gas chromatography", "Mass spectrometry", "Storage", "Parameter Discipline::Marine geology::Suspended particulate material" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1139", "name": "OpenGIS\u00ae Geography Markup Language (GML) Encoding Standard. Version 3.2.2.", "description": " - The Geography Markup Language (GML) is an XML encoding in compliance with ISO 19118 for the transport and storage of geographic information modelled in accordance with the conceptual modelling framework used in the ISO 19100 series of International Standards and including both the spatial and non-spatial properties of geographic features. This International Standard defines the XML Schema syntax, mechanisms and conventions that: \u23af provide an open, vendor-neutral framework for the description of geospatial application schemas for the transport and storage of geographic information in XML; \u23af allow profiles that support proper subsets of GML framework descriptive capabilities; \u23af support the description of geospatial application schemas for specialized domains and information communities; \u23af enable the creation and maintenance of linked geographic application schemas and datasets; \u23af support the storage and transport of application schemas and datasets; \u23af increase the ability of organizations to share geographic application schemas and the information they describe. Implementers may decide to store geographic application schemas and information in GML, or they may decide to convert from some other storage format on demand and use GML only for schema and data transport. NOTE If an ISO 19109 conformant application schema described in UML is used as the basis for the storage and transportation of geographic information, this International Standard provides normative rules for the mapping of such an application schema to a GML application schema in XML Schema and, as such, to an XML encoding for data with a logical structure in accordance with the ISO 19109 conformant application schema. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1139", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1139", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1139", "url": "https:\/\/hdl.handle.net\/11329\/1139" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1233", "name": "BIAS Implementation Plan \u2013 Monitoring and assessment guidance for continuous low frequency sound in the Baltic Sea.", "description": " - The BIAS Implementation Plan describes a regional programme for monitoring underwater ambient noise in the Baltic Sea. The programme combined measurements and modelling and was successfully implemented in 2012-2016 within the EU LIFE+ project Baltic Sea Information on the Acoustic Soundscape (BIAS) by Sweden, Denmark, Germany, Poland, Estonia and Finland. In 2014, one year of sound measurements was performed at 36 locations with the purpose of establishing the baseline state of ambient noise levels in the Baltic Sea. The measurements, as well as the post-survey processing of the data, were subject to standardized field procedures, quality control and signal processing routines were all developed within BIAS. BIAS dealt exclusively with monitoring continuous low frequency sound as referred to by the Marine Strategy Framework Directive indicator 11.2.1. Therefore, the study focused on the 1\/3 octave frequency bands of 63 and 125 Hz, as specified by the indicator, and a third frequency band (2 kHz) which was added to strengthen the ecological relevance of the BIAS results. The measured sound data were used to model the soundscape for the entire project area, providing the first results for the Baltic Sea on a monthly basis. Soundscape maps were produced for the three targeted frequency bands, and three depth intervals: the surface layer (0 to 15m deep), the deep layer (30m to the bottom), and the full water column of the Baltic Sea. A large number of soundscape maps were produced constituting the base for future management of noise in the Baltic Sea. To facilitate an efficient handling of these, and future, results a GIS-based soundscape planning tool was created for visualizing the measured data and the modelled maps in a management friendly concept. BIAS identified two useful statistical measures for characterizing the soundscape which were incorporated into the soundscape planning tool. The year-by-year change of these measures directly relate to the current definition of the indicator. Based on the experiences made in the project, the BIAS implementation plan also outlines a plausible strategy for the future monitoring and the elements needed for maintaining a joint implementation for underwater ambient noise in the Baltic Sea region. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1233", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1233", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1233", "url": "https:\/\/hdl.handle.net\/11329\/1233" }, "author": [ { "@type": "Person", "name": "Nikolopoulos, A." }, { "@type": "Person", "name": "Sigray, P." }, { "@type": "Person", "name": "Andersson, M." }, { "@type": "Person", "name": "Carlstr\u00f6m, J." }, { "@type": "Person", "name": "Lalander, E." } ], "contributor": [ { "@type": "Organization", "name": "Swedish Defence Research Agency (FOI)" } ], "keywords": [ "Underwater noise", "TSG Noise", "MSFD", "Baltic Sea Information on the Acoustic Soundscape (BIAS)", "Ambient noise", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/410", "name": "Evolving and Sustaining Ocean Best Practices Workshop 15 \u2013 17 November 2017 Intergovernmental Oceanographic Commission, Paris, France: Proceedings.", "description": " - There is an ever-present need for the dissemination and uptake of best practices in the multidisciplinary field of ocean observation. However, the complexity of this domain and the diversity of its stakeholders make discovering relevant ocean best practices (OBP) a considerable challenge. The new paradigms of the information age - onboard processors, large memories, access to the internet and ubiquitous cloud resources opens new and significant opportunities to access and use best practices. Working across disciplines, the requirement for a trusted best practice discovery and access system includes: a web-accessible archive location; appropriate vocabularies or ontologies for improving discovery of best practices; and some means for a scientist or engineer to understand the background, provenance (including any certification) and value of a best practice. Best Practices within the System should cover the full value chain from sensors and platforms to modeling and analysis to data management and users. - , - Published - , - The Best Practices Workshop, held in Paris, during November 2017, was organized by the Ocean Best Practices Working Group of the AtlantOS WP6.4 (https:\/\/www.atlantos-h2020.eu\/project-information\/best-practices) in collaboration with the ODIP II project (www.odip.eu) and the OceanObs RCN (http:\/\/sites.ieee.org\/oceanrcn\/) to better understand the needs of the ocean observing community in supporting the creation and dissemination of best practices. Over two and a half days, thirty-seven participants representing a wide range of international organizations. (see Appendix 1) contributed insightful recommendations for the structure, processes and implementation of the Ocean Best Practices System. - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/410", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/410", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/410", "url": "https:\/\/hdl.handle.net\/11329\/410" }, "contributor": [ { "@type": "Organization", "name": "AtlantOS\/ODIP\/OORCN Ocean Best Practices Working Group" } ], "keywords": [ "Best practices", "AtlantOS", "ODIP", "Parameter Discipline::Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/738", "name": "Performance Verification Statement for Precision Measurement Engineering miniDOT Dissolved Oxygen Sensors.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ dissolved oxygen sensors during 2015-2016 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. The verification including several months of Laboratory testing along with three field deployments covering freshwater, estuarine, and oceanic environments. Laboratory tests of accuracy, precision, response time, and stability were conducted at Moss Landing Marine Lab. A series of nine accuracy and precision tests were conducted at three fixed salinity levels (0, 10, 35) at each of three fixed temperatures (5, 15, 30 oC). A laboratory based stability test was conducted over 56 days using deionized water to examine performance consistency without active biofouling. A response test was conducted to examine equilibration times across an oxygen gradient of 8mg\/L at a constant temperature of 15 oC. Three field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in dissolved oxygen over extended deployments of 12-16 weeks. Deployments were conducted at: (1) Lake Superior, Houghton, MI from 9Jan \u2013 22Apr, (2) Chesapeake Bay, Solomons, MD from 20May \u2013 5Aug, and (3) Kaneohe Bay, Kaneohe, HI from 24Sep \u2013 21Jan. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using Winkler titrations following the methods of Carignan et.al. 1998. A total of 725 reference samples were collected during the laboratory tests and between 118 \u2013 142 reference samples were collected for each mooring test. This document presents the performance results of PME miniDOT dissolved oxygen sensor using optical luminescence technology. Instrument accuracy and precision for the PME miniDOT was tested under nine combinations of temperature and salinity over a range of DO concentrations from 10% to 120% of saturation. The means of the difference between the miniDOT and reference measurement ranged from -0.339 to 0.126 mg\/L over all nine trials. There were no consistent trends in instrument accuracy across salinity ranges. There was a noticeable change in the direction of the offset across temperature ranges with the average offset equal to -0.23 mg\/L for the 4 and 15 oC trials compared to a mean offset of 0.11 mg\/L for the 30 oC trials. A linear regression of instrument and reference measurements for all trials combined data (n=334; r2 = 0.973; p<0.0001) produced a slope of 0.98 and intercept of 0.020. Instrument offsets and the linear regression omitted comparisons that were clearly impacted by contamination of bubbles of the sparging gas that were trapped on the sensor foil due to its orientation within the tank. The absolute precision, estimated as the standard deviation (s.d.) around the mean, ranged from 0.005 \u2013 0.013 mg\/L across trials with an overall average of 0.008 mg\/L. Relative precision, estimated as the coefficient of variation (CV% = (s.d.\/mean)x100), ranged from 0.057 \u2013 0.248 percent across trials with an overall average of 0.098%. Instrument accuracy was assessed under a 56 day lab stability test in a deionized water bath cycling temperature and ambient DO saturation on a daily basis. The overall mean difference between measurements was 0.034 (s.d. = 0.107) mg\/L for 77 comparisons (out of a potential total of 77). There was a small but statistically significant trend in accuracy over time (slope = -0.002 mg\/L\/d; r2 = 0.11; p=0.003) indicating very modest perform A functional response time test was conducted by examining instrument response when rapidly transitioning between adjacent high (9.6 mg\/L) and low (2.0 mg\/L) DO water baths, maintained commonly at 15 oC. The calculated \u03c490 was 90 s during high to low transitions and 63 s for low to high transitions covering the 8 mg\/L DO range. At Houghton, MI a field deployment test was conducted under the ice over 104 days with a mean temperature and salinity of 0.7 oC and 0.01. The PME miniDOT operated successfully throughout the entire 15week deployment and generated 9859 observations based on its 15 minute sampling interval for a data completion result of 100%. It should be noted that for this deployment a wiping system was not yet available, so some caution should be used in comparisons against the other field test results. The average and standard deviation of the measurement difference over the total deployment was 0.029 \u00b1 0.072 mg\/L with a total range of -0.307 to 0.205mg\/L. The drift rate of instrument offset, estimated by linear regression (r2=0.373; p<0.0001), was 0.001 mg\/L\/d. This rate would include any biofouling effects as well as any electronic or calibration drift. A linear regression of the instrument versus reference measurements over the first month (r2 = 0.97; p<0.0001) produced a slope of 0.92 and intercept of 1.03. At Chesapeake Biological Lab, a field deployment test was conducted over 78 days with a mean temperature and salinity of 25.6 oC and 10.9. The PME miniDOT generated 21,810 observations over the 11 week deployment based on its 5 minute sampling interval; however, only 18,173 of the measurements were considered acceptable based on values that were less than 2 mg\/L from any minimum reference sample over a similar timeframe and less than 2 mg\/L from continuously monitored DO from a nearby independent data sonde. The accepted data resulted in a data completion rate for this deployment of 83%. The average and standard deviation of the difference between instrument and reference measurements for the deployment was -0.40 \u00b10.702 mg\/L, with the total range of differences between -1.90 to 0.86 mg\/L. The calculated drift rate in instrument response for the entire deployment period (using the accepted data) was -0.026 mg\/L\/d (r2 = 0.83; p<0.001). If we consider only the first 35 days of the deployment before any indication of a malfunction, the drift rate was only -0.009 mg\/L\/d (r2 = 0.34; p<0.001). A linear regression of the instrument versus reference measurements for the first month (r2 = 0.98; p<0.001) produced a slope of 0.968 and intercept of 0.306. At Kaneohe Bay, HI a field deployment test was conducted over 121 days with a mean temperature and salinity of 25.8 and 33.4 oC. The PME miniDOT reported 16,957 observations based on its 10 minute sampling interval over the 17 week deployment. Only two instrument value fell outside of an acceptable data range based on \u00b1 2mg\/L from any min-max reference sample for essentially a 100% data completion result. The average and standard deviation of the differences between instrument and reference readings (limited to \u00b1 2.0 mg\/L DO; n=128 of 129 potential observations) were 0.201 \u00b1 .426 mg\/L, with a total range in the differences of -1.7021 to 1.441 mg\/L. There was a small, but statistically significant, drift in instrument offset (slope = 0.003 mg\/L\/d; r2 = 0.05; p=0.009) throughout the deployment period. A linear regression of the instrument versus reference measurements for the first month (r2 = 0.97; p<0.001) had a slope of 1.052 and intercept of -0.258. Overall, the response of the PME miniDOT response showed good linearity overall all three salinity ranges including freshwater, brackish water, and oceanic water; but with slightly higher variability for the oceanic test in Kaneohe Bay. Good agreement between instrument and reference measurements was observed over a wide range of DO connditions varying between 4 to 4 mg\/L. A linear regression of the composited data (r2 = 0.998; p<0.0001)) had a slope of 0.987 and intercept of -0.150. The PME miniDOT was evaluated in a profiling field test in the Great Lakes at two separate locations in order to experience transitions from surface waters into both normoxic and hypoxic hypolimnion. In Muskegon Lake, the temperature ranged from 21.0 oC at the surface to 13.5 oC in the hypolimnion, with corresponding DO concentrations of 7.8 and 2.8 mg\/L, respectively. In Lake Michigan, the temperature ranged from 21.0 oC at the surface to 4.1 oC in the hypolimnion, with corresponding DO concentrations of 8.6 and 12.6 mg\/L, respectively. Two profiling trials were conducted at each location. The first trial involved equilibrating test instruments at the surface (3m) for ten minutes and then collecting three Niskin bottle samples at one minute intervals. Following the third sample, the rosette was quickly profiled into the hypolimnion where samples were collected immediately upon arrival and then each minute for the next 6 minutes. The second trial was performed in the reverse direction. For Muskegon Lake, the miniDOT exhibited a negative bias in the colder, low DO hypolimnion and a positive bias in the warm, normoxic surface water over both of the trials. The miniDOT appeared to reach equilibration after 7 minutes but still exhibited final offsets of approximately 0.2 mg\/L following the profiled transitions. The range in measurement differences between instrument and reference was -0.24 to 0.75 mg\/L for cast 2 and -0.57 to 0.14 mg\/L for cast 3 (cast 1 was aborted and redone as cast 3). For Lake Michigan, during cast 1 the miniDOT was well matched during surface equilibration and then exhibited a strong negative bias when rapidly transitioned to the cold high DO hypolimnion. The sensor did not fully equilibrate after 7 minutes and ended at -0.8 mg\/L against the reference. For cast 2, there was a negative offset of -0.6 mg\/L when equilibrated in the hypolimnion and a positive bias when rapidly transitioned into the warm normoxic surface. The sensor appeared to reach equilibration after 7 minutes but with a final offset of around 0.4 mg\/L against the reference. The range in measurement differences between instrument and reference was -2.03 to 0.03 mg\/L for cast 1 and -0.72 to 1.63 mg\/L for cast 2. - , - Published - , - Refereed - , - Current - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/738", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/738", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/738", "url": "https:\/\/hdl.handle.net\/11329\/738" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Meadows, G." }, { "@type": "Person", "name": "Green, S." }, { "@type": "Person", "name": "Yousef, F." }, { "@type": "Person", "name": "Anderson, J." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1604", "name": "The Sea Ice Never Stops: Circumpolar Inuit Reflections on Sea Ice Use and Shipping in Inuit Nunaat.", "description": " - This report from the Inuit Circumpolar Council (ICC) contributes to the ongoing work of the Sustainable Development Working Group and the Protection of the Arctic Marine Environment working groups of the Arctic Council. As a Permanent Participant at the Arctic Council, ICC speaks on behalf of all 160,000 Inuit living in Greenland, Canada, Alaska and Russia. The health and well-being of Inuit are inextricably tied to the Arctic environment. For millennia, we have been stewards of the Arctic, and our culture and subsistence traditions reflect our deep knowledge and respect for the land. Climate change is already impacting Inuit livelihoods, as melting sea ice and less predictable weather make it harder to utilize traditional knowledge. Increasingly uncertain weather and unstable sea ice have made it harder and riskier for us to travel and hunt on the land, infringing on our human right to a healthy environment. Inuit from Alaska, Canada, Greenland, and Russia are deeply concerned about current and potential impacts of climate change on our health, the health of our homeland, and the wellbeing of future generations. Traditional and scientific knowledge suggests that we have reached a critical point in terms of Arctic change; sea ice melt is quickening, and scientists predict an ice-free September by mid-century. The future health and wellness of our families and communities depends on our ability to maintain our livelihoods and pass on our cultural knowledge to the next generation. This report investigates Inuit use of sea ice. It looks at existing sources of information regarding land use and occupancy to understand sea ice use, augmenting this with responses from interviews with Inuit hunters from Canada, Alaska, Greenland, and Chukotka (Russia) to provide a pan-Inuit perspective. It includes general predictions about the future in light of climate change and reduced sea ice based on the experience and traditional knowledge of Inuit hunters. The central thread running through this study is that Inuit are a maritime people: our entire culture and identity is based on free movement over the sea and sea ice. We rely on free movement, first and foremost, in order to eat, since so much of our diet is derived from hunting. This mobility is also essential in trade, communication, in obtaining supplies for traditional clothing and art, as well as to maintain pride in our rich cultural heritage. In order to take advantage of the sea ice our communities are predominantly coastal and, in some cases, travel by sea is the only means of moving in or out of our homes. Inuit share a common culture based on similar hunting, fishing, and whaling patterns. There are regional variations because certain communities have easier access to various species, however, the centrality of sea ice to our culture and physical survival is something that we hold in common. Because the goal of this report is to give voice to Inuit perspectives and concerns regarding the impact of changes in the Arctic, the text includes many direct quotations from Inuit residents of the North. Many interviewed for this report emphasize the importance of the sea to their everyday lives, and are very concerned that their voices be heard by the people whose decisions will affect their culture and livelihoods. The use of direct quotations is our means of presenting their concerns to a wider public. Please pay close attention to the words of the Inuit hunters. Inuit have lived in the Arctic for thousands of years and intend to live there for thousands more. - , - Arctic Council; Aboriginal Affairs and Northern Development Canada - , - Published - , - Current - , - 14.2 - , - Sea ice - , - International - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1604", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1604", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1604", "url": "https:\/\/hdl.handle.net\/11329\/1604" }, "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Arctic Shipping", "Shipping effects", "Indigenous people", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2409", "name": "Marine microbiomes: Towards standard methods and best practices.", "description": " - The microbiome is key to understanding and sustaining the services that ocean ecosystems provide (Bolhuis et al., 2020). The marine microbiome\u2014an ensemble of microscopic organisms that inhabit water columns, sediments, and aquatic organisms\u2014contains members spanning in size from viruses of a few tens of nanometers to metazoans of several centimeters. Together, the microbiome forms the base of the food web, maintains animal health, and regulates most fluxes of energy and matter. Marine microbiome discovery is part of a great campaign to explore the earth\u2019s oceans, and rapid advances in high throughput sequencing are allowing a glimpse into this hidden world (Figure 1). Furthermore, these techniques have been adapted to detect DNA in the environment (eDNA) from organisms of all trophic levels. Biomolecular observations can provide important insights into ecosystem structure and function, development of new indicators of ecosystem health, and warnings of potential hazards to living resources and humans. Endorsements by the United Nations Ocean Decade1 reflect the growing demand for affordable, large-scale biological observations provided by biomolecule detection. Examples include the Ocean Biomolecular Observing Network (OBON) Program (Leinen et al., 2022), which aims to transform how we sense, harvest, protect and manage ocean life. OBON actions supporting these aims include the Observing and Promoting Atlantic Microbiomes2 project hosted by the Atlantic Ocean Research Alliance (AORA) Marine Microbiome Working Group3 (Bolhuis et al., 2020) that called for this Research Topic. This Frontiers Research Topic was motivated by the recognition that a number of cross-cutting challenges need to be addressed to fully unlock the marine microbiome for environmental and societal benefit. Such challenges include the development and adoption of standards, common methods, Best Practices, and FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles (Bolhuis et al., 2020). For some authors, the 1 https:\/\/oceandecade.org\/ 2 https:\/\/oceandecade.org\/actions\/ocean-biomolecular-observing-network-obon\/ 3 https:\/\/www.marinemicrobiome.org\/ Frontiers inMicrobiology 041 frontiersin.org Goodwin and Lacoursi\u00e8re-Roussel 10.3389\/fmicb.2023.1219958 FIGURE 1 The marine microbiome is a largely unexplored treasure for society. Illustration credit: R\u00e1n Flygenring. emphasis was on cyberinfrastructure to ensure that both sequence and environmental data are FAIR (Blumberg et al.). Others focused on developing a Minimum Information for an Omic Protocol (MIOP) and a public repository of protocols that can be both searched and prioritized for use (Samuel et al.). Both of these manuscripts highlighted the importance of machine readable data and products to the achievement of FAIR principles. The need to implement and sustain a global and publicly supported platform to share, discover, and compare practices and protocols was emphasized. Papers in this Research Topic highlighted that harmonization across the full workflow\u2014from methods through data reporting\u2014 is needed to achieve global scale biodiversity observations that can be integrated over space and time. Some manuscripts offered general overviews and \u201ctricks of the trade\u201d to guide microbiome sample collection and processing for coral tissues (Silva et al.) or pelagic waters for a variety of molecular targets and size fractions (Patin and Goodwin). These papers reviewed methods for multiple sections of the overall workflow with detailed guidance provided for sample collection, preservation, and processing. Other manuscripts focused on specific details, such as DNA isolation. For example, Wietz et al. described extraction of DNA from samples preserved in formalin or HgCl2, preservatives commonly used in sediment trap studies. Korlevi\u00b4c et al. described a procedure to specifically isolate DNA and protein from macrophyte epiphytic communities to avoid overwhelming microbiome samples with host DNA. Gu et al. described a new analytical protocol to determine Protoporphyrin IX (PPIX) in microbial cells and provided results with coastal aquatic samples to demonstrate the potential to use PPIX as an indicator of microbial productivity. This diversity of topics underscores the large range of microbiome applications. The growth of publicly available sequence data has increased the ability to perform meta-analysis to investigate broad scale environmental change. However, the rapid expansion of molecular techniques has created disparate protocols and workflows. A number of authors thus addressed the question of whether datasets can be combined across studies by exploring the sensitivity of taxonomic annotation to variations in sequencing methods. For example, taxonomic assignments were compared for the 16S rRNA gene V3-V4 and V4-V5 primer sets as applied to a variety of sample types collected from Arctic Ocean marine systems. In this case, V4- V5 was recommended due to superior inclusion of archaeal taxa (Fadeev et al.). In another case, a single primer set was applied to coral tissues that were processed separately (DNA extraction through library preparation) and then sequenced on different platforms (MiSeq and HiSeq). Despite past studies suggesting that MiSeq and HiSeq data could be combined to provide microbiome taxonomic analysis, the study here cautioned that significant differences in compositional assignments could arise from protocol variations (Epstein et al.). This work suggested that projects that seek to understand and overcome sources of technical variation remain needed. Multiple studies also highlighted the continued need to build out reference databases to improve annotation of sequence data. - , - Published - , - Published in Frontiers in Microbiology Frontiers in Marine Science - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2409", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2409", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2409", "url": "https:\/\/hdl.handle.net\/11329\/2409" }, "contributor": [ { "@type": "Organization", "name": "Frontiers Media SA" } ], "keywords": [ "Microbiology", "Microbiome", "Standards", "Best practices", "Other biological measurements", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2043", "name": "A Manual of Chemical and Biological Methods for Seawater Analysis.", "description": " - An introduction to the quantitative analysis of seawater, describing in detail biological and chemical techniques, which are considered to be amongst those most often used by biological oceanographers. The manual provides complete instructions for the addition of reagents and calculation of results with reference material for each method so that the original texts can be consulted if necessary. In general, the techniques require a minimum of prior professional training and methods needing very expensive equipment have been avoided. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2043", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2043", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2043", "url": "https:\/\/hdl.handle.net\/11329\/2043" }, "author": [ { "@type": "Person", "name": "Parsons, Timothy R." }, { "@type": "Person", "name": "Maita, Yoshiaki" }, { "@type": "Person", "name": "Lalli, Carol M." } ], "contributor": [ { "@type": "Organization", "name": "Pergamon Press" } ], "keywords": [ "Seawater analysis", "Biological oceanography", "Chemical oceanography", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1209", "name": "UNEP\/IOC Guidelines on Survey and Monitoring of Marine Litter.", "description": " - Globally our awareness of both the pervasiveness and magnitude of marine litter and the associated environmental and social problems is growing (Ribic et al. 1992, ANZECC 1996a, GESAMP 2001, Kiessling 2003, Cho 2005, UNEP 2005, OSPAR 2006, HELCOM 2007). This growth in knowledge is being paralleled by a concomitant increase in the number and scope of national and international marine litter investigations and assessment programmes. The objectives underpinning these litter assessment programmes are quite diverse with groups\/organizations variously targeting increased public awareness, better understanding of the risks and impacts of litter, more understanding of litter sources and sinks to support improved management and not the least, cleaner waterways and beaches at local, regional, national and international scales. This variety in the purpose of assessment programmes is matched by the diversity in the operational structure of those programmes. Regardless of the underpinning motivation, marine litter investigations will generally fall into one of three basic types: 1) Beach litter surveys. 2) Benthic litter surveys, which include: a) Observations made by divers, submersibles or camera tows. b) Collection of litter via benthic trawls. 3) Floating litter surveys, which include: a) Observations made from ship or aerial based platforms. b) Collection of litter via surface trawls. Ultimately, to effectively manage and thereby mitigate the impacts from marine litter, there is a need to develop a good understanding of the problems and specifically to increase our knowledge about the principle types and sources of litter and the behaviours that result in litter entering the marine environment. To achieve this aim, there is a need to ensure that good quality data are available that will allow comprehensive analyses of the nature and sources of litter in marine environments and how these vary through time and in response to management interventions. In spite of growing interest and a mounting body of evidence from research and surveys, it is widely accepted that a major factor that limits our knowledge of (and therefore the ability to manage) marine litter results from inconsistencies in the design and delivery of sampling and assessment programmes. These inconsistencies largely result from a lack of consistent objectives and litter classification systems between alternative monitoring programmes (Ribic et al. 1992, ANZECC 1996a, Cheshire and Westphalen 2007). There is a growing need to develop standardized operational guidelines for marine litter survey and monitoring programmes so that litter levels on our beaches and within our seas and oceans can be estimated and interpreted through long-term, broad scale comparative studies that will support management at both national and international scales. Similarly, given that marine litter management ultimately relates to social and behavioural changes, there is a need to develop or maintain public awareness and education through simpler, less rigidly structured, programmes. Objectives The objectives for this study were to develop a set of standardized operational guidelines for the conduct of beach, benthic and floating litter assessments. In working to achieve this outcome it became clear that there was also a need to address the different underlying purposes, particularly in relation to beach litter assessments, and to that end we have developed two classes of surveys: 1) Comprehensive surveys for beach, benthic and floating marine litter These protocols are targeted at the collection of highly resolved data to support the development and\/or evaluation of mitigation strategies in coastal and marine systems. The protocol for these surveys includes a highly structured framework for observations at regional, national and international scales. EXECUTIVE OVERVIEW 2 2) Rapid surveys for beach litter This protocol comprises a simplified version of the comprehensive beach survey, targeted primarily at developing public awareness and education about marine litter issues and is thus not constrained by the need to fit within a broader spatio-temporal comparison framework. Such surveys may be used as a vehicle for broader based community engagement and in building community capacity when working towards inclusion within the comprehensive survey framework. In developing the guidelines marine litter was defined as any waste, discarded or lost material, resulting from human activities, that has made it into the marine environment, including material found on beaches or material that is floating or has sunk at sea. Some organic materials (e.g. faeces or food waste) have been explicitly excluded and we do not include naturally sourced materials such as vegetation (e.g. seagrass wrack, algae or river sourced trees and branches). Organic materials have only been inc - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1209", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1209", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1209", "url": "https:\/\/hdl.handle.net\/11329\/1209" }, "author": [ { "@type": "Person", "name": "Cheshire, A.C." }, { "@type": "Person", "name": "Adler, E." }, { "@type": "Person", "name": "Barbi\u00e8re, J." }, { "@type": "Person", "name": "Cohen, Y." }, { "@type": "Person", "name": "Evans, S." }, { "@type": "Person", "name": "Jarayabhand, S." }, { "@type": "Person", "name": "Jeftic, L." }, { "@type": "Person", "name": "Jung, R.T." }, { "@type": "Person", "name": "Kinsey, S." }, { "@type": "Person", "name": "Kusui, E.T." }, { "@type": "Person", "name": "Lavine, I." }, { "@type": "Person", "name": "Manyara, P." }, { "@type": "Person", "name": "Oosterbaan, L." }, { "@type": "Person", "name": "Pereira, M.A." }, { "@type": "Person", "name": "Sheavly, S." }, { "@type": "Person", "name": "Tkalin, A." }, { "@type": "Person", "name": "Varadarajan, S." }, { "@type": "Person", "name": "Wenneker, B." }, { "@type": "Person", "name": "Westphalen, G." } ], "contributor": [ { "@type": "Organization", "name": "United Nations Environment Programme" } ], "keywords": [ "Marine litter", "Microplastics", "Beach litter", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/674", "name": "Determination of Hexabromocyclododecane (HBCD) in sediment and biota.", "description": " - This document provides advice on the analysis of hexabromocyclododecane (HBCD) in sediment and biota. The analysis of HBCD in sediment and biota generally involves extraction with organic solvents, clean\u2010up, and either gas chromatographic separation with mass\u2010spectrometric (MS) detection or liquid chromatography with MS detection. All stages of the procedure are susceptible to insufficient recovery and\/or contamination. Where possible, quality\u2010control procedures are recommended to check the method\u2019s performance. These guidelines are intended to encourage and assist analytical chemists to reconsider their methods and to improve their procedures and\/or the associated quality\u2010control measures where necessary. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/674", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/674", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/674", "url": "https:\/\/hdl.handle.net\/11329\/674" }, "author": [ { "@type": "Person", "name": "Webster, L." }, { "@type": "Person", "name": "Bersuder, P." }, { "@type": "Person", "name": "Tronczynski, J." }, { "@type": "Person", "name": "Vorkamp, K." }, { "@type": "Person", "name": "Lepom, P." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Hexabromocyclododecane", "Liquid chromatography", "Mass spectrometry", "Sediment", "Biota" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1751", "name": "Vessel Response Plan: COVID-19. Rev 1.4.", "description": " - The purpose of this document is to provide policies, recommendations and procedures for safely conducting sea-going science on Virginia Institute of Marine Science (VIMS) vessels as it relates specifically to the prevention and control of the Corona Virus (COVID-19). It is recognized that established procedures for addressing the virus can and will change given the steady increase in information and the availability of testing options. As such, this document should be considered dynamic in nature and will be updated as additional guidance and resources become available. This document applies to all non-trailerable vessels operated by VIMS and has been reviewed and approved by the VIMS Emergency Management Team. - , - Published - , - Current - , - N\/A - , - Organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1751", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1751", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1751", "url": "https:\/\/hdl.handle.net\/11329\/1751" }, "contributor": [ { "@type": "Organization", "name": "Virginia Institute of Marine Science" } ], "keywords": [ "Research Vessels", "COVID-19", "Safety", "Health and Safety", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/736", "name": "Performance Verification Statement for the Xylem YSI Ballast Water Discharge Monitor", "description": " - In an effort to mitigate the risk of transporting aquatic nuisance species, the United States Coast Guard (USCG) has finalized a rule limiting the concentrations of organisms in ships\u2019 ballast water discharged into US ports (US Coast Guard 2012). The specified concentrations are nearly identical (with the exception of not including limits for Vibrio cholerae in zooplankton samples) to those in the International Maritime Organization\u2019s (IMO) convention (IMO 2004). Further, the limits are consistent with those in the US Environmental Protection Agency\u2019s Vessel General Permit (VGP)\u2014regulations on a suite of vessel operations, including the discharge of ballast water (US EPA 2013). In order to meet these limits, most ships will use a ballast water management system (BWMS). These systems incorporate a variety of technologies (including filtration, UV radiation, electrolytic chlorination, and deoxygenation) to ensure that the discharge water meets the specifications. Determining concentrations of living organisms can require extensive effort and sensitive equipment, especially for sparse populations. For example, direct counts of living organisms \u226510 and <50 \u00b5m according to the method stipulated in the US Environmental Technology Verification (ETV) Program Protocol for land-based testing of BWMS requires (1) labeling organisms within a sample with a set of vital fluorophores and (2) tallying the organisms via epifluorescence microscopy (EPA 2010; Steinberg et al. 2011). Direct counts of living organisms yield concentrations comparable to the numerical standard. While this rigorous, complex, and time-consuming analysis is appropriate for verification testing of BWMS, it is typically not feasible to perform this analysis during routine shipboard inspections. Rather, simple, hand-held, field instruments (\u201ccompliance tools\u201d)\u2014with the ability to rapidly assess that the ballast water clearly exceeds the discharge limits\u2014will be of much greater value to the ship owner, the BWMS vendor, and the compliance officer. Compliance tools should immediately produce results that are reliable indicators of the concentrations of living organisms within a regulated size class and predict whether a sample meets or exceeds the discharge standard. New or refined compliance tools require carefully considered test protocols for evaluating and verifying their performance. The overall goal of this technology verification was to evaluate the performance of potential compliance tools designed to rapidly assess ballast water discharge. The outputs of the compliance tools were compared to the standard, validated approach (i.e. epifluorescence microscopy; EPA 2010) used to quantify organisms \u226510 and <50 \u00b5m in size during verification testing of BWMS. The objectives outlined below support this goal: \u2022 In a series of laboratory trials to be conducted at the Naval Research Laboratory in Key West, FL (NRL), determine linearity, precision and accuracy of the compliance tool with samples of algal monocultures over a range of concentrations, including concentrations below, equal to, and above the IMO and US discharge standard.Evaluate the relationship between numerical concentrations of living organisms \u226510 and <50 \u00b5m and the accuracy and precision of the instrument using ambient organisms collected from natural waters at three various locations (Key West, Chesapeake Bay, and Lake Superior). - , - Published - , - Refereed - , - Current - , - Zooplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/736", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/736", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/736", "url": "https:\/\/hdl.handle.net\/11329\/736" }, "author": [ { "@type": "Person", "name": "First, M.R." }, { "@type": "Person", "name": "Riley, S.C." }, { "@type": "Person", "name": "Robbins-Wamsley, S.H." }, { "@type": "Person", "name": "Molina, V." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Reavie, E." }, { "@type": "Person", "name": "Carney, K." }, { "@type": "Person", "name": "Moser, C.S." }, { "@type": "Person", "name": "Buckley, E.N." }, { "@type": "Person", "name": "Tamburri, M.N." }, { "@type": "Person", "name": "Drake, L.A." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biological Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1252", "name": "Modeling the Role of Microplastics in Bioaccumulation of Organic Chemicals to Marine Aquatic Organisms. A Critical Review.", "description": " - It has been shown that ingestion of microplastics may increase bioaccumulation of organic chemicals by aquatic organisms. This paper critically reviews the literature on the effects of plastic ingestion on the bioaccumulation of organic chemicals, emphasizing quantitative approaches and mechanistic models. It appears that the role of microplastics can be understood from chemical partitioning to microplastics and subsequent bioaccumulation by biota, with microplastic as a component of the organisms\u2019 diet. Microplastic ingestion may either clean or contaminate the organism, depending on the chemical fugacity gradient between ingested plastic and organism tissue. To date, most laboratory studies used clean test organisms exposed to contaminated microplastic, thus favouring chemical transfer to the organism. Observed effects on bioaccumulation were either insignificant or less than a factor of two to three. In the field, where contaminants are present already, gradients can be expected to be smaller or even opposite, leading to cleaning by plastic. Furthermore, the directions of the gradients may be opposite for the different chemicals present in the chemical mixtures in microplastics and in the environment. This implies a continuous trade-off between slightly increased contamination and cleaning upon ingestion of microplastic, a trade-off that probably attenuates the overall hazard of microplastic ingestion. Simulation models have shown to be helpful in mechanistically analysing these observations and scenarios, and are discussed in detail. Still, the literature on parameterising such models is limited and further experimental work is required to better constrain the parameters in these models for the wide range of organisms and chemicals acting in the aquatic environment. Gaps in knowledge and recommendations for further research are provided. - , - Published - , - Refereed - , - Current - , - 14 - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1252", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1252", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1252", "url": "https:\/\/hdl.handle.net\/11329\/1252" }, "author": [ { "@type": "Person", "name": "Koelmans, Albert A." } ], "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "Microplastics", "Marine plastics", "Bioaccumulation", "Persistent organic pollutants", "Model assessment", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/576", "name": "Estimating Vertical Land Motion from Long-Term Tide Gauge Records.", "description": " - This report documents a methodology that can be used to estimate the vertical land motion (VLM) at NOAA tide stations by performing an oceanographic analysis of the long-term data sets. In the near future, VLM measurements will be the primary adjustment needed to locally calibrate scenario projections of global sea level rise such as those being generated by the National Climatic Assessment (NCA) for the US Global Climate Research Program (USGCRP). \u00a0 The methodology presented here involves the decomposition of the observed relative mean sea level data and their computed trends. It is recognized that the long-term sea level time series observed at tide stations contains a component due to oceanography and a component due to VLM. The oceanographic signal is not completely described by a simple global sea level trend estimate. \u00a0 The purpose of the methodology is to provide a more accurate estimation of local VLM at tide stations with 30-60 years of data rather than just simply subtracting the estimated global sea level trend of 1.7mm\/yr from the observed relative mean sea level trend. Relative sea level trends calculated from shorter data periods are more likely to be affected by anomalously high or low oceanographic levels at the beginning or end of their series. By removing the regional oceanographic variability as calculated based on longer-period stations, both more accurate and more precise estimates of land motion are possible at shorter-period stations. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/576", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/576", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/576", "url": "https:\/\/hdl.handle.net\/11329\/576" }, "author": [ { "@type": "Person", "name": "Zervas, C." }, { "@type": "Person", "name": "Gill, S." }, { "@type": "Person", "name": "Sweet, W." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Sea level changes", "Tide gauges" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/761", "name": "Developing best practice for using Marxan to locate Marine Protected Areas in European waters.", "description": " - Several recent studies have investigated the use of the conservation planning software Marxan to design Marine Protected Area (MPA) networks in UK waters. The systematic conservation planning approach embodied by Marxan has a number of advantages, but these studies have highlighted the need for guidance and advice on best practice. Here, we discuss two broad topics that we feel should inform future developments in the UK and elsewhere in the European Union. First, several technical issues need to be addressed to ensure the scientific defensibility of any conservation planning project. These include identifying which conservation features should be represented in an MPA system, developing a system for setting representation targets, and identifying which data should be included to minimize conflict with human uses of the sea. Second, it is necessary for researchers to engage at an early stage with those responsible for implementation and recognize that reserve selection should be part of a broader conservation planning process centred on a stakeholder-developed implementation strategy. A more-inclusive approach will make use of technical outputs, such as those generated by Marxan, as part of the process of policy development. - , - Refereed - , - 14.5 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/761", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/761", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/761", "url": "https:\/\/hdl.handle.net\/11329\/761" }, "author": [ { "@type": "Person", "name": "Smith, Robert J." }, { "@type": "Person", "name": "Eastwood, Paul D." }, { "@type": "Person", "name": "Ota, Yoshitaka" }, { "@type": "Person", "name": "Rogers, Stuart I." } ], "keywords": [ "Biodiversity", "Fisheries", "Marine conservation planning", "Reserve selection", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/316", "name": "Use and sharing of marine observations and data by industry: good practice guide. (Version 1, 2017).", "description": " - For some time now, the private sector has been namechecked by marine observatories and public data-sharing initiatives as a target-user of their resources and\/or as a potential source of data, with little concomitant targeted development by these initiatives to facilitate this. Experiences in the framework of the Europe Marine Observation and Data Network (EMODnet) reveal that the current business-as-usual scenario is not effective for marine observatories and public data-sharing initiatives to actively engage industry, either as users or providers of data. The purpose of these guidelines is to (i) raise awareness of the issues which hinder effective engagement of industry with marine observatories and related data-sharing initiatives, (ii) stimulate an informed debate between public data collectors\/providers, data portal managers and data users\/ providers from the private sector, and (iii) formulate possible solutions to overcome some of the identified barriers which ultimately lead to increased use and provision of marine data by and from industry. - , - European Union, Horizon 2020 - , - Published - , - Additional contributors: Erik Buch, Ayoze Castro, Rogerio Chumbinho, Dina Eparkhina, Patrick Gorringe, Ann-Katrien Lescrauwaet, Bel\u00e9n Mart\u00edn M\u00edguez, Glenn Nolan, Jonathan Williams Contributing COLUMBUS Partners: Seascape Consultants, VLIZ, EuroGOOS, Marine South East, SmartBay Ireland and PLOCAN - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/316", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/316", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/316", "url": "https:\/\/hdl.handle.net\/11329\/316" }, "author": [ { "@type": "Person", "name": "McMeel, Oonagh" }, { "@type": "Person", "name": "Pirlet, Hans" }, { "@type": "Person", "name": "Calewaert, Jan-Bart" } ], "contributor": [ { "@type": "Organization", "name": "European Union, Horizon 2020, COLUMBUS Project" } ], "keywords": [ "Open data", "Communication", "Stakeholder engagement", "Horizon 2020", "Data publication", "Marketing", "Industry", "Data sharing", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2594", "name": "Environmental Test Methods for Oceanographic Instruments -- Part 6: Steady Damp-Heat Test.", "description": " - This part of GB\/T 32065 specifies the test requirements, test procedures and relevant information pertaining to the steady damp-heat test for marine instruments. This part is used to examine or determine the adaptability of storing marine instruments in environments with high relative humidity. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2594", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2594", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2594", "url": "https:\/\/hdl.handle.net\/11329\/2594" }, "author": [ { "@type": "Person", "name": "Zhang, Yanpu" }, { "@type": "Person", "name": "Lu, Xiaodong" }, { "@type": "Person", "name": "Yang, Zheling" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Pang, Yongchao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China and the Standardization Administration of the People's Republic of China" } ], "keywords": [ "Oceanographic instruments", "Environmental testing", "Humidity", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/143", "name": "GTSPP Real-Time Quality Control Manual. [SUPERSEDED BY DOI: https:\/\/doi.org\/10.25607\/OBP-1425]", "description": " - This Manual has been produced within the context of the Global Temperature-Salinity Pilot Project (GTSPP). Because the work- of assuring the quality of data handled by the Project is shared amongst data centres, it is important to have both consistent and well documented procedures. This Manual describes the means by which data quality is assessed and the actions taken as a result of the procedures. The GTSPP handles all temperature and salinity profile data. This includes observations collected using water samplers, continuous profiling instruments such as CTDs, thermistor chain data and observations acquired using thermosalinographs. These data will reach data processing centres of the Project through the real-time channels of the IGOSS program or in delayed mode through the IODE system. The procedures described here are intended to cover only the above-mentioned data types and specifically for data sent through the IGOSS system. However, there are obvious generalizations that can be made to other data types. Because of this, it is expected that this Manual will serve as a base on which to build more extensive procedures for the aforementioned data types and to broaden to other types, as well. Indeed, in sonic cases, tests of data types that are not strictly part of this Project are incorporated into this Manual simply because they are of obvious use and because these data types are often associated with the data of interest to the GTSPP. Updates to this Manual are carried out as new procedures are recommended to the (GTSPP). and as these are accepted by the project Steering Group. Readers are encouraged to make suggestions on both how to improve existing tests, and of new tests that should be considered. In both cases, it is important to explain how the suggestion improves or expands upon the existing suite of tests. Suggestions may be forwarded to any participants of the GTSPP and these will be directed to the Steering Group. As tests are suggested but before incorporation, they will be documented in a section of the Manual. This will provide a means to accumulate suggestions, to disseminate them and solicit comments. This Manual describes procedures that make extensive use of flags to indicate data quality. To make full use of this effort, participants of the (GTSPP). have agreed that data access based on quality flags will be available. That is, (GTSPP). participants will permit the selection of data from their archives based on quality flags as well as other criteria. These flags are always included with any data transfers that take place. Because the flags are always included, and because of the policy regarding changes to data, as described later, a user can expect the participants to disseminate data at any stage of processing. Furthermore, (GTSPP). participants have agreed to retain copies of the data as originally received and to make these available to the user if requested. The implementation of the tests in this Manual requires interactive software to be written. The operator is consulted in the setting of flags or possibly in changing data values. In each case, information is provided to the operator to help them decide what action to take. In the descriptions of the tests, certain specific items of information and data displays are included. So, for example, when a station position fails a test of platform speed, a track chart of the platform is used The amount of information displayed and the presentation technique is dependent upon the hardware and software capabilities at the implementation site. For this reason, the information to be displayed, and the method of presentation should be treated as recommendations. - , - Published - , - SUPERSEDED - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/143", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/143", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/143", "url": "https:\/\/hdl.handle.net\/11329\/143" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1761", "name": "AMAP Litter and Microplastics Monitoring Guidelines. Version 1.0.", "description": " - Purpose of the guidelines The purpose of the guidelines is to review existing knowledge and provide guidance for designing an Arctic monitoring program that will track litter and MP. The topics of litter, plastic pollution, and MP are addressed in many fora, including several of the Arctic Council working groups: Arctic Monitoring and Assessment Programme (AMAP; https:\/\/www.amap.no\/documents\/doc\/amap-assessment-2016-chemicals-of-emerging-arctic-concern\/1624), Protection of the Marine Environment (PAME, 2019), and Conservation of the Arctic Flora and Fauna (CAFF). The development of an Arctic monitoring program and its technical approaches will be based on the work that already exists in other programs such as those of OSPAR, the Helsinki Commission (HELCOM), the International Council for the Exploration of the Sea (ICES), the Organisation for Economic Co-operation and Development (OECD), and the United Nations Environment Programme (UNEP). Plastic pollution is typically categorized into items and particles of macro-, micro-, and nano-sizes. These guidelines address macrosized litter as well as MP (< 5 mm), essentially including smaller size ranges (> 1 \u03bcm). However, determination of nanoplastic (< 1 \u03bcm) particles is still hampered by technical challenges, as addressed in Section 4.3 Analytical methods, and thus not currently considered in the current recommendations. Although most studies have addressed marine litter and MP, these guidelines also comprise the Arctic\u2019s terrestrial and freshwater environments. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1761", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1761", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1761", "url": "https:\/\/hdl.handle.net\/11329\/1761" }, "contributor": [ { "@type": "Organization", "name": "Arctic Monitoring and Assessment Programme" } ], "keywords": [ "Plastic debris", "Plastic pollution", "Microplastics", "Marine debris", "Marine litter", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1775", "name": "Incorporating Inuit Societal Values.", "description": " - This report is a compilation of the Government of Nunavut\u2019s activities that reflect Inuit Qaujimajatuqangit (IQ) and Inuit Societal Values (ISV). The first section of the report identifies legislation with references to IQ and ISV. The second section demonstrates each individual department\u2019s activities and\/or programs in place to incorporate IQ and ISV into the workplace. It is important to note that this is not an annual report. Some Acts have specific requirements for annual reports and this report does not fulfil or replace those requirements. While this report encompasses all departments activities associated with implementing IQ and ISV, it is the responsibility of individual departments to ensure Acts are followed and initiatives and programs are implemented. - , - Government of Nunavut - , - Published - , - Current - , - 16 - , - N\/A - , - National - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1775", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1775", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1775", "url": "https:\/\/hdl.handle.net\/11329\/1775" }, "contributor": [ { "@type": "Organization", "name": "Government of Nunavut" } ], "keywords": [ "Indigenous communites", "Legislation", "Inuit", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/414", "name": "SCOR WG 142: Quality Control Procedures for Oxygen and Other Biogeochemical Sensors on Floats and Gliders. Recommendation for oxygen measurements from Argo floats, implementation of in-air-measurement routine to assure highest long-term accuracy.", "description": " - As Argo has entered its second decade and chemical\/biological sensor technology is improving constantly, the marine biogeochemistry community is starting to embrace the successful Argo float program. An augmentation of the global float observatory, however, has to follow rather stringent constraints regarding sensor characteristics as well as data processing and quality control routines. Owing to the fairly advanced state of oxygen sensor technology and the high scientific value of oceanic oxygen measurements (Gruber et al., 2010), an expansion of the Argo core mission to routine oxygen measurements is perhaps the most mature and promising candidate (Freeland et al., 2010). In this context, SCOR Working Group 142 \u201cQuality Control Procedures for Oxygen and Other Biogeochemical Sensors on Floats and Gliders\u201d (www.scor-int.org\/SCOR_WGs_WG142.htm) set out in 2014 to assess the current status of biogeochemical sensor technology with particular emphasis on float-readiness, develop pre- and post-deployment quality control metrics and procedures for oxygen sensors, and to disseminate procedures widely to ensure rapid adoption in the community. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/414", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/414", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/414", "url": "https:\/\/hdl.handle.net\/11329\/414" }, "author": [ { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Kortzinger, Arne" }, { "@type": "Person", "name": "Johnson, Ken" }, { "@type": "Person", "name": "Claustre, Herv\u00e9" }, { "@type": "Person", "name": "Emerson, Steve" }, { "@type": "Person", "name": "Fennel, Katja" }, { "@type": "Person", "name": "Garcia, Hernan" }, { "@type": "Person", "name": "Gilbert, Denis" }, { "@type": "Person", "name": "Gruber, Nicolas" }, { "@type": "Person", "name": "Kang, Dong-Jin" }, { "@type": "Person", "name": "Naqvi, Wajih" }, { "@type": "Person", "name": "Prakash, Satya" }, { "@type": "Person", "name": "Riser, Steven" }, { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "Uchida, Hiroshi" }, { "@type": "Person", "name": "Ulloa, Osvaldo" }, { "@type": "Person", "name": "Xing, Xiagang" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer" } ], "keywords": [ "Argo floats", "Bio-Argo", "Oxygen", "Optode", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::dissolved gas sensors", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1176", "name": "Guidelines for applying the IUCN protected area management categories to marine protected areas. Second edition.", "description": " - The primary purpose of these supplementary guidelines is to increase the accuracy and consistency of assignment and reporting of the IUCN categories when applied to marine and coastal protected areas. To avoid unnecessary duplication of text, these supplemental guidelines therefore must be read in association with Guidelines for Applying Protected Area Management Categories (referred to as the 2008 Guidelines throughout this document). - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.5 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1176", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1176", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1176", "url": "https:\/\/hdl.handle.net\/11329\/1176" }, "contributor": [ { "@type": "Organization", "name": "IUCN" } ], "keywords": [ "Marine Protected Areas", "MPA", "Protected area management", "Coastal areas", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/176", "name": "Guide to oceanographic and marine meteorological instruments and observing practices.", "description": " - This guide is intended to provide information on commonly used oceanographic instruments and accepted observing practices. Since many of the observations in this category require supporting meteorological data, relevant portions of the World Meteorological Organization (WMO) guide to instruments and observing practices have been included. - , - Published - , - Observing practices - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/176", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/176", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/176", "url": "https:\/\/hdl.handle.net\/11329\/176" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Marine technology", "Meteorological instruments", "Meteorological data", "Meteorological observations", "Oceanographic equipment", "Oceanographic surveys", "Sea surface", "Temperature measurement", "Salinity measuring equipment", "Bathythermographs", "Thermometers", "Wave measuring equipment", "Wave measurement", "Wind measurement", "Wind measuring equipment", "Swell", "Atmospheric pressure", "Water colour", "Water transparency", "Meteorological instruments", "Meteorological observations", "Thermometers", "Atmospheric pressure", "Meteorological data" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1248", "name": "Overview of available methods to monitor marine plastic litter Incl. method for riverine litter monitoring developed within BLASTIC.", "description": " - This document is prepared within the BLASTIC project (Plastic waste pathways into the Baltic Sea). The project was supported by EU Interreg Central Baltic (2016-2018). The overall aim is, by mapping and monitoring marine plastic litter, to facilitate the reduction of the inflows of plastic litter and of hazardous substances into the Baltic Sea. The results of the project included a compiled list of sources and pathways of marine plastic littering, and recommendations\/action plants to reduce plastic marine litter in the Baltic Sea.1 A methodology suited for riverine litter monitoring of litter was also developed, and described in this document. The present document is one of the outputs of Work Package 3: Monitoring of plastic litter. The document compiles existing methods for monitoring plastic litter in rivers and the coastal waters\/areas of the Baltic Sea in general, and the method for monitoring plastic litter developed within Blastic in particular. The focus in the document is on beach litter, floating litter and seafloor litter, and also on monitoring plastic macro-litter (>2.5 cm), although some methods\/principles could be used for monitoring litter other than plastic and of smaller sizes. The target group for the document is municipalities with the main objective to give an overview of available methods to facilitate the choice of monitoring method, provide basic information on monitoring methodology, resources required and illustrate with examples. For each section we provide a short description of strengths and weaknesses related to each specific monitoring method. The information presented for each method is based on literature, and has not been tested in practice. The only exception is the method for monitoring plastic litter in rivers, which was developed and tested in Blastic project. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1248", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1248", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1248", "url": "https:\/\/hdl.handle.net\/11329\/1248" }, "author": [ { "@type": "Person", "name": "Miliute-Plepiene, Jurate" }, { "@type": "Person", "name": "Fr\u00e5ne, Anna" }, { "@type": "Person", "name": "Haikonen, Kalle" }, { "@type": "Person", "name": "Youhanan, Lena" } ], "contributor": [ { "@type": "Organization", "name": "IVL Swedish Environmental Research Institute" } ], "keywords": [ "Marine litter", "Marine plastics", "Plastic debris", "Plastic litter", "Beach litter", "Monitoring", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1382", "name": "Climate in Svalbard 2100 \u2013 a knowledge base for climate adaptation.", "description": " - This report was commissioned by the Norwegian Environment Agency in order to provide basic information for use in climate change adaptation in Svalbard. It includes descriptions of historical, as well as projections for the future climate development in the atmosphere, hydrosphere, cryosphere and ocean, and it includes effects on the physical nature e.g. on permafrost and various types of landslides and avalanches. The projections for the future climate are based on results in the IPCCs fifth assessment report. The report is to a large degree an assessment of existing literature and model results. New results from atmosphere, ocean and hydrological models are, however, also presented. The report may be downloaded from the Norwegian Centre for Climate Service\u2019s web portal www.klimaservicesenter.no. - , - Norwegian Environment Agency (Milj\u00f8direktoratet) - , - Published - , - Refereed - , - Current - , - 13 - , - 14 - , - 15 - , - Sea Ice - , - Sea state - , - Sea surface temperature - , - Subsurface temperature - , - Surface currents - , - Subsurface currents - , - Ocean surface heat flux - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1382", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1382", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1382", "url": "https:\/\/hdl.handle.net\/11329\/1382" }, "author": [ { "@type": "Person", "name": "Adakudlu, Muralidhar" }, { "@type": "Person", "name": "Andersen, Jess" }, { "@type": "Person", "name": "Bakke, Jostein" }, { "@type": "Person", "name": "Beldring, Stein" }, { "@type": "Person", "name": "Benestad, Rasmus" }, { "@type": "Person", "name": "Bilt, Willem van der" }, { "@type": "Person", "name": "Bogen, Jim" }, { "@type": "Person", "name": "Borstad, Christian" }, { "@type": "Person", "name": "Breili, Kristian" }, { "@type": "Person", "name": "Breivik, \u00d8yvind" }, { "@type": "Person", "name": "B\u00f8rsheim, Knut Yngve" }, { "@type": "Person", "name": "Christiansen, Hanne H." }, { "@type": "Person", "name": "Dobler, Andreas" }, { "@type": "Person", "name": "Engeset, Rune" }, { "@type": "Person", "name": "Frauenfelder, Regula" }, { "@type": "Person", "name": "Gerland, Sebastian" }, { "@type": "Person", "name": "Gjelten, Herdis Motr\u00f8en" }, { "@type": "Person", "name": "Gundersen, Jeanette" }, { "@type": "Person", "name": "Isaksen, Ketil" }, { "@type": "Person", "name": "Jaedicke, Christian" }, { "@type": "Person", "name": "Kierulf, Halfdan" }, { "@type": "Person", "name": "Kohler, Jack" }, { "@type": "Person", "name": "Li, Hong" }, { "@type": "Person", "name": "Lutz, Julia" }, { "@type": "Person", "name": "Melvold, Kjetil" }, { "@type": "Person", "name": "Mezghani, Abdelkader" }, { "@type": "Person", "name": "Nilsen, Frank" }, { "@type": "Person", "name": "Nilsen, Irene Brox" }, { "@type": "Person", "name": "Nilsen, Jan Even \u00d8ie" }, { "@type": "Person", "name": "Pavlova, Olga" }, { "@type": "Person", "name": "Ravndal, Oda" }, { "@type": "Person", "name": "Risebrobakken, Bj\u00f8rg" }, { "@type": "Person", "name": "Saloranta, Tuomo" }, { "@type": "Person", "name": "Sandven, Stein" }, { "@type": "Person", "name": "Schuler, Thomas Vikhamar" }, { "@type": "Person", "name": "Simpson, Matthew" }, { "@type": "Person", "name": "Skogen, Morten" }, { "@type": "Person", "name": "Smedsrud, Lars Henrik" }, { "@type": "Person", "name": "Sund, Monica" }, { "@type": "Person", "name": "Vikhamar-Schuler, Dagrun" }, { "@type": "Person", "name": "Westermann, Sebastian" }, { "@type": "Person", "name": "Wong, Wai Kwok" } ], "contributor": [ { "@type": "Organization", "name": "Norwegian Centre for Climate Services (NCCS) for Norwegian Environment Agency (Milj\u00f8direktoratet)" } ], "keywords": [ "Ocean climate", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Atmosphere::Meteorology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2335", "name": "Basic fishing methods: a comprehensive guide to commercial fishing methods.", "description": " - Basic Fishing Methods provides a wealth of basic knowledge on how wild fish and shellfish are caught using a range of fishing methods. You may be keen to see how different types of gear work, or just interested in the way we catch fish and shellfish around the UK. Either way, this guide will take some of the mystery out of the equipment you will often see piled up at the harbourside, or on the stern of a fishing vessel. We have focused on fisheries in UK waters, with reference to other fisheries throughout the world that supply wild-caught fish and shellfish into the UK. All the gears are described similarly and cover the basic concepts of each fishing method. Regional variations exist on both the generic design and method of operation used around the UK, and in other countries. Also, the dimensions for the various gears covered are based on the average in typical use. You may also find different regional variations, where those fishing have refined their gear to suit local conditions and operate more efficiently outside the general parameters. In these cases, you may wish to dig a bit deeper to understand what operational differences result from these refinements. - , - Published - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2335", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2335", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2335", "url": "https:\/\/hdl.handle.net\/11329\/2335" }, "author": [ { "@type": "Person", "name": "Montgomerie, Mike" } ], "contributor": [ { "@type": "Organization", "name": "Seafish" } ], "keywords": [ "Fishing Gear", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/479", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume II: Instrument Specifications, Characterization and Calibration.", "description": " - Volume II: The chapters of this volume review instrument performance characteristics required for in situ observations to support validation (Chapter 1), detailed instrument specifications and underlying rationale (Chapter 2) and protocols for instrument calibration and characterization standards and methods (Chapters 3 through 5). Chapters 1 through 5 of Volume II correspond directly to Revision 3 chapters 4 through 8, respectively, with only minor modifications. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/479", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/479", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/479", "url": "https:\/\/hdl.handle.net\/11329\/479" }, "author": [ { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Pietras, C." }, { "@type": "Person", "name": "Hooker, S. B." }, { "@type": "Person", "name": "Austin, R.W." }, { "@type": "Person", "name": "Miller, M." }, { "@type": "Person", "name": "Knobelspiesse, K. D." }, { "@type": "Person", "name": "Frouin, R." }, { "@type": "Person", "name": "Holben, B." }, { "@type": "Person", "name": "Voss, K." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center." } ], "keywords": [ "Instrument performance characteristics", "Instrument specifications", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2540", "name": "ISO 16304:2018. Ships and marine technology \u2014 Marine environment protection \u2014 Arrangement and management of port waste reception facilities. Edition 2.", "description": " - This document provides a method for addressing ship generated waste and cargo residues from when they are offloaded from the ship, to how they are managed ashore. The provision, operation and use of port reception facilities (PRFs) are inherently linked, so this document addresses the design of PRFs, and their operation and management. This document is designed to be used by ports and terminals with existing PRFs which aim to refine their systems; it can also be used by new ports and terminals that are developing PRFs. Parties to MARPOL are obligated as Port States to ensure that port reception facilities (PRFs) adequate to meet the needs of the ships using them without causing undue delay are provided at their ports and terminals. MARPOL does not seek to regulate the management of ship generated waste and cargo residues at ports and terminals beyond the reception facility requirement. However, ports and terminals may need to consider national, regional and local regulations. While these regulations can exceed the scope of MARPOL, the IMO recognises the need to manage ship generated waste and cargo residues at ports and terminals as part of an environmentally sound management approach for avoiding, minimising, and eliminating pollution from ships. In consideration of above, this document applies to the management of ship generated waste and cargo residues regulated by MARPOL that are discharged at ports and terminals. It also covers principles and issues that should be considered in the development of a PWMP, its implementation and PRF operations. The operation of any PRF is governed by the principles and procedures included in the PWMP. The procedures to operate the PRF and the development of a PWMP are closely linked and therefore are integrated into this document. This document addresses the principles and issues that should be considered in: \u2014 The development of a port waste management strategy; \u2014 The design and operation of PRF; \u2014 PWMP development, implementation and compliance; and \u2014 PRF management and accountability. This document has been designed to be used by ports and terminals of any size. It does not give specifics on the size or location of a PRF in each port, but provides a list of principles to be considered and applied to any size of type of port or terminal (e.g. marina, fishing port, container terminal, oil terminal, roll on\/roll off terminal, cruise terminal, ferry terminal, bulk or general cargo terminal, ship repair or recycling facility, and offshore terminal). Inland ports and marinas and those ports that have entered regional arrangements for the provision of a PRF can also use this document. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2540", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2540", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2540", "url": "https:\/\/hdl.handle.net\/11329\/2540" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Ship garbage", "Shipboard waste", "Ship generated waste", "MARPOL", "Port Reception Facilities (PRF)", "Waste disposal", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/213", "name": "Manual on sea level measurement and interpretation. Volume IV - An update to 2006.", "description": " - This is the fourth in the series of IOC Manuals on Sea Level Measurement and Interpretation. It incorporates the changes in tide gauge technology and measurement techniques in the five years since the third manual was written, and includes material from the Workshop on New Technical Developments in Sea and Land Level Observing Systems (UNESCO, Paris, 14\u201316 October 2003). In addition, it reflects to a great extent the changes in priorities for tide gauges in a global network which have taken place in recent years. For example, it is inconceivable now that most gauges installed in the GLOSS network will be without a real-time reporting capability and a capacity to provide data of use to a tsunami warning system.The manual includes some sections of text from the earlier editions, updated as appropriate. However, for reasons of space it does not include some other sections from the earlier versions, even though they are still valid and useful (e.g. the discussion of data quality control and filters in Volume III, see the present Appendix II). The earlier editions continue to be readily available on the web at http:\/\/www.pol.ac.uk\/psmsl\/manuals\/ - , - Published - , - Non-Refereed - , - Sea surface height - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/213", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/213", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/213", "url": "https:\/\/hdl.handle.net\/11329\/213" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Sea level measurement", "Measurement", "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1605", "name": "Negotiating Research Relationships with Inuit Communities: a Guide for Researchers.", "description": " - Northern researchers are ever-aware of the growing expectations on them to ensure that northern communities are involved in, and benefit from, research. But what are researchers really being asked to do? How can community members participate meaningfully in research? What level of community involvement is appropriate in a given project? What are the best ways to communicate with local people? How can researchers initiate and maintain a meaningful relationship with community members? This guide is an attempt to address these questions, and provide practical advice to assist researchers who plan to work with, or in the vicinity of, Canadian Inuit communities in the regions of Nunatsiavut (Labrador), Nunavik (northern Qu\u00e9bec), Nunavut, and the Inuvialuit Settlement Region of the Northwest Territories (NWT) (Map 1).This guide presents some core \u201cuniversal\u201d themes in communication and relationship-building that apply to natural, physical, biological, and social scientists working in the Canadian North. A range of information is provided to help researchers tailor ideas to their specific project objectives, whether they are just beginning or they wish to improve ongoing community- researcher relationships. This guide was written as a follow-up, and complement, to the 1998 joint Nunavut Research Institute\/Inuit Tapiriit Kanatami booklet entitled Negotiating Research Relationships: A Guide for Communities - , - International Polar Year; ArcticNet; Indian and Northern Affairs Canada (International Polar Year and Northern Contaminants Program); Northern Ecosystems Initiative, and Nasivvik. - , - Published - , - Current - , - 14 - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1605", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1605", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1605", "url": "https:\/\/hdl.handle.net\/11329\/1605" }, "contributor": [ { "@type": "Organization", "name": "Inuit Tapiriit Kanatami and Nunavut Research Institute" } ], "keywords": [ "Indigenous people", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/775", "name": "Performance Verification Statement for the Chelsea UviLux Hydrocarbon and CDOM Fluorometers.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ hydrocarbon sensors. This verification included test applications for: (1) controlled laboratory tanks with additions of various organic, fluorescent compounds, (2) experimental wave tank with additions of two sources of crude oils with and without dispersants, (3) a moored deployment in Baltimore Harbor, and (4) hydrocast surveys in the Gulf of Mexico near a leaking oil barge. In this Verification Statement, we present the performance results of the Chelsea Technologies Group (CTG) UviLux Hydrocarbon (UV-HC) and CDOM (UV-CDOM) fluorometers. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. Response specificity of the two UviLux fluorometers to a range of organic compounds was evaluated in a series of lab tests. The CTG UV-CDOM and UV-HC instruments incorporate a linear response photodetector behind the emission optical filters and are configured to provide a 0-5V analog or RS232 digital output over its detection range and ambient signal overload protection above this range. Instrument response with respect to challenge compound concentration varied with respect to the inherent fluorescence properties of the challenge compound as well as sensor optics. The UV-CDOM version exhibited robust linear voltage response to concentration for both quinine sulfate (R2=0.9998) and carbazole (R2=0.9999) over a 0 \u2013 1000 ppb and 0-100 ppb concentration range respectively. Diesel Fuel #2 was detected with a 7,750x lower sensitivity (R2=0.8461). This sensor configuration was also generally insensitive to naphthalene disulfonic acid (NSDA, R2=0.8672) and Basic Blue 3 (R2=0.8137) except at challenge concentrations > 500 ppb. In contrast the UV-HC configuration exhibited 9-1000x higher sensitivities to carbazole (R2=0.0.9997), NSDA (R2=0.9975) and #2 Diesel Fuel (R2=0.9865) relative to QS (R2=0.9789) and sensor output was quenched in presence of BB3. Similar performance was observed in the Bedford Institute of Oceanography \u2013 COOGER wave tank test using exposures to Arabian Light and Alaskan North Slope crude oils in the presence of Corexit 9500 with the CTG UV-HC exhibit over 10x higher detection sensitivity than the UV-CDOM configuration. Instrument responses to various challenge compounds linearly scaled with standardized EEMs fluorescence intensity estimated to correspond to the instruments emission optics. Field deployments in Baltimore Harbor and northern Gulf of Mexico were equivocal as all field reference samples were at or below the limit of detection for total petroleum hydrocarbons (\u2264 25 ppb), yet the UviLux-HC and -CDOM output was above the baseline response in deionized water. Instrument response was consistent with environmental background fluorescence as determined by EEMs analysis for both moored and hydrocast surveys, indicating that ambient fluorescence properties need to be accounted for to make quantitative hydrocarbon estimates from these sensors. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. Only storm induced damage to an ACT supplied communication cable resulted in premature termination of the UviLux-CDOM deployment at the Baltimore Harbor deployment. One hundred percent of the data was recovered from the instrument and no outlier values were observed for any of the laboratory tests, field deployment tests, or tank exposure tests. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/775", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/775", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/775", "url": "https:\/\/hdl.handle.net\/11329\/775" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loranger, S." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Maurer, T." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1986", "name": "ICOS Handbook 2022.", "description": " - ICOS fosters Europe\u2019s scientific competence and competitiveness by strategically pooling available resources linked to greenhouse gas measurements. By cooperating and creating a joint network, it is possible to further scientific excellence cost-efficiently. ICOS has been established to ensure the high-qual-ity measurements of greenhouse gas concentrations and fluxes that are independent, transparent and reliable. In turn, this observational network will support governments in their efforts to mitigate climate change as well as hold them accountable for reaching their mitigation targets. ICOS Member and Observer countries receive support for their national inventories and capacity building. ICOS opens new opportunities for its Members and Observers to be connected with the European and global community of researchers. The standardisation carried out in ICOS provides an example of the joint international efforts through which Europe has achieved global influence, and this plainly shows the strategic importance of ICOS. ICOS provides easy access to new methods and instrumentation. The high quality of reliable and comparable data is guaranteed by harmonised practices in the operations at its Thematic Centres and in the Carbon Portal data services used in data processing. These include, for example, Quality Assurance and Quality Control. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1986", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1986", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1986", "url": "https:\/\/hdl.handle.net\/11329\/1986" }, "contributor": [ { "@type": "Organization", "name": "ICOS ERIC" } ], "keywords": [ "Research infrastructures", "Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1444", "name": "Report on first methodological improvements on retrieval algorithms and HF radar network design. JERICO-NEXT WP3 Innovations in Technology and Methodology. Deliverable D3.3. Version 1.", "description": " - Deliverable 3.3 is based on the results of Subtasks 3.2.1 and 3.2.2, i.e. on research improvements on retrieval algorithms and data quality and network design, leading to the first recommendations on the implementation of improved techniques for the JERICO-NEXT HF radar network. The work builds on previous results of WP2 (D2.1) and WP5 (D5.13), and is synergic with developments within the Copernicus Marine Environment Monitoring Service (CMEMS) project INCREASE (Service Evolution 2016). The results focuson the following three main aspects.The basic set of QC tests defined in D5.13 and in the INCREASE deliverable D3.1(http:\/\/www.cmems-increase.eu\/static\/INCREASE_Report_D3.1.pdf) has been further analysed and improved. Work has been performed within an extended group including scientists from the HFradar European community as well as from the US IOOS and the Australian ACORN networks. Additional QC tests with respect to the basic set identified in D5.13 have been considered and recommendationson how to include them are provided. An in-depth discussion regarding implementation methods for the tests and threshold setting is included. A detailed study has been performed on the quality of velocity retrievals, their errors and mitigation in case of high environmental variability partially resolved by radar measurement. The specific case of highly variable shallow water depth and its effects on a phased array system (WERA) are considered, but the method is general and can be applied to other cases. Methods to quantify retrieval errors are recommended and the use of innovative QC tests and multi-parametric thresholds are investigated. Methodological guidelines for the design of HF radar networks are provided. The first step consists in mapping societal needs and relevant observed variables, in order to identify areas of major interest. The choice of site locations should then minimize errors such as GDOP (Geometric Dilution Of Precision) and maximize coverage. A collaboration with Task 3.7 on the use of Data Assimilation technologies as a basis for observing system experiments is presently carried out. - , - Published - , - Conributors: Guillaume Charria , Simone Cosoli , Thomas Helzel , C. Mantovani , Leif Petersen ,Emma Reyes, Hugh Roarty , Anna Rubio , Jorg Seemann ,Teresa Updyke - , - Refereed - , - Current - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1444", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1444", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1444", "url": "https:\/\/hdl.handle.net\/11329\/1444" }, "author": [ { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Horstmann, Jochen" }, { "@type": "Person", "name": "Mader, Julien" }, { "@type": "Person", "name": "Griffa, Annalisa" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "HF Radar", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Instrument Type Vocabulary::radar altimeters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1112", "name": "WaterML-WQ - an O&M and WaterML 2.0 profile for water quality data. Version 1.0.", "description": " - This Best Practice describes how to configure XML documents for single and time series water quality measurements. In addition to stating the rules for using the O&M and WML 2 standards, along with the appropriate content ontologies, this Best Practice provides guidance through examples. This document is intended to complement WaterML 2.0 as part of a suite of standards for water observation data. - , - Published - , - This document defines an OGC Best Practices on a particular technology or approach related to an OGC standard. This document is not an OGC Standard and may not be referred to as an OGC Standard. It is subject to change without notice. However, this document is an official position of the OGC membership on this particular technology topic. - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1112", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1112", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1112", "url": "https:\/\/hdl.handle.net\/11329\/1112" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/554", "name": "The 2018 WMO\/CIMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (CIMO TECO-2018) \u201cTowards fit-for-purpose environmental measurements\u201d 8 - 11 October 2018, Amsterdam, the Netherlands.", "description": " - CIMO-TECO 2018 Proceedings - , - Published - , - Abstract and Proceedings have not been through formal editing - , - Non Refereed - , - Current - , - Sea state - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/554", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/554", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/554", "url": "https:\/\/hdl.handle.net\/11329\/554" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "CIMO", "GWEC", "Parameter Discipline::Atmosphere", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/352", "name": "The GO-SHIP Repeat Hydrography Manual: a Collection of Expert Reports and Guidelines, Version 1. [Web Document]", "description": " - Global hydrographic surveys have been carried out approximately every decade since the 1970s through research programs such as GEOSECS, TTO\/SAVE, WOCE \/ JGOFS, and CLIVAR. However, global repeat hydrography has lacked formal global organization since the end of WOCE and this has led to a lack of visibility for hydrography in the global observing system as well as a significant decr ease in the number of trans-basin sections carried out by some countries. More importantly, the lack of international agreements for implementation of hydrographic sections has le d to duplication of some sections, cruises being carried out without a consistent suite of core variables, inconsistencies in data analysis procedures leading to variable data quality, and disparate data sharing policies. - , - Individual pdfs held in OBP and also available from the website http:\/\/www.go-ship.org\/HydroMan.html - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/352", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/352", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/352", "url": "https:\/\/hdl.handle.net\/11329\/352" }, "keywords": [ "Water sampling", "Dissolved oxygen measurement", "Winkler titration", "Carbon dioxide", "Carbon isotopes", "Helium", "Tritium", "Seabird", "Seawater properties", "Acoustic doppler current profiler", "ACDP", "Shipboard profilers", "Hydrographic surveys", "Chlorofluorocarbons", "Sulfur hexafluoride", "GO-SHIP", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::acoustic velocity systems", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::nutrient analysers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2461", "name": "Guidelines for the long term Monitoring programmes for marine turtles nesting beaches and standardized monitoring methods for nesting beaches, feeding and wintering areas.", "description": " - This Guideline describes and suggests improvement on the methodology for the long-term standardized collection and assimilation of data on adult and juvenile loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles at nesting, foraging and wintering areas throughout the Mediterranean. In particular, it suggests (i) standardised monitoring techniques for establishing the current distribution of nesting, wintering and feeding areas in parallel to detecting shifts in distribution over time and (ii) standardised monitoring techniques for establishing the population size of selected nesting, wintering and feeding areas, along with proposed selection criteria to assimilate a representative cross-section of sites nationally based on the provisions of the UNEP(DEPI)\/MED IG.22\/Inf.7, the IMAP and the Common Indicators factsheets. The combined use of a variety of assessment techniques is suggested to facilitate demographic analyses, which should be covered in the \u2018Standardization of methodologies to estimate demographic parameters for population dynamics analysis, such as population modelling\u2019. Due to the different financial, personnel, equipment and National Security status of the countries bordering the Mediterranean, the document has been structured to suggest (1) essential baseline information for collection throughout all countries and (2) additional information for collection at a network of sites with different characteristics to enhance demographic models and the assessment of key pressures to sea turtles. It is essential to obtain a broad understanding of the current distribution and numbers of sea turtles across all sites to record future shifts in response to changes in anthropogenic pressure, including climate change. In order to ensure that data are standardised with the aim of facilitating the sharing and analysis of information at the Mediterranean scale, the agreement of the collaborative parties is required along with the willingness to participate from the main contributors (research organisations, universities, fishers, individuals etc.). A central body should be assigned to liaise with participants\/contributors, ensure that the information are inserted in the appropriate database with relevant linkages among all databases (ultimately, genetics data should link all other data inputs). Depending on the type and detail of information, layers could be generated on a GIS database, building on Mediterranean wide surveys conducted every 5-years (supporting the suggestion of the Demography Working Group 2015). This approach would allow gaps in monitoring (location and level of information provided) to be identified at the Mediterranean scale, and addressed at regular intervals. Furthermore, by assimilating all data in a central database, the access and use can be standardised, allowing nesting areas to be connected with foraging and wintering areas, which generally occur in different countries. Ultimately, as bias will always exist, this suggested approach will facilitate variation in effort across all involved nations, maximising our understanding and ability to improve the protection of sea turtles at the Mediterranean scale. - , - Published - , - Non Refereed - , - Current - , - 14.2 - , - Marine turtles, birds, mammals abundance and distribution - , - Concept - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2461", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2461", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2461", "url": "https:\/\/hdl.handle.net\/11329\/2461" }, "contributor": [ { "@type": "Organization", "name": "United Nations Environment Programme \/ Mediterranean Action Plan (UNEP\/MAP) Regional Activity Centre for Specially Protected Areas (RAC\/SPA)" } ], "keywords": [ "Marine turtles", "Nesting", "Monitoring guidelines", "Birds, mammals and reptiles", "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2623", "name": "Report on the statuses of harmonization and interoperability in the current Calibration-Validation landscape for ocean variables. (D2.4). Version 1.0.", "description": " - This report compiles and reviews information on the breadth and quality of the European calibration-validation landscape in the field of marine observation. It summarizes the exchanges conducted during the MINKE project concerning the state-of-the-art of the current calibration-validation activities and practices, including services. The state of harmonization and interoperability in these areas has been investigated principally through the frameworks of the Global Climate Observing System (GCOS) and the Global Ocean Observing System (GOOS), and their requirements for the Essential Climate Variables (ECVs) and the Essential Ocean Variables (EOVs), respectively. The assessment highlights the need to continue to integrate metrological information into mainstream ocean data flows as well as enhance knowledge of metrology (e.g. vocabulary, uncertainties calculations, metrology metadata, etc.) and measurement skills within the overall marine observing community in order to achieve the level of quality needed to address ongoing and future concerns of universal relevance like climate change, sustainability and environmental stewardship. - , - MINKE Project Project, funded by the European Commission within the Horizon 2020 Programme (2014-2020), GA 101008724 - , - Published - , - Current - , - 14.a - , - Multi-organisational - , - National - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2623", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2623", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2623", "url": "https:\/\/hdl.handle.net\/11329\/2623" }, "author": [ { "@type": "Person", "name": "Van Ganse, Sophie" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "Nair, Rajesh" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Cross-discipline", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1362", "name": "Aanderaa Oxygen Optodes: Best Practices for Maintaining High Data Quality.", "description": " - This document gives recommendations on field adjustments of oxygen optodes. Done correctly a one or two-point adjustment of an optode will give it almost the same accuracy as when it was factory calibrated. By following these procedures end-users should be able to maintain high accuracy and documented data quality themselves. - , - Published - , - Current - , - 14.A - , - Oxygen - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1362", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1362", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1362", "url": "https:\/\/hdl.handle.net\/11329\/1362" }, "contributor": [ { "@type": "Organization", "name": "Aanderaa Data Instruments AS" } ], "keywords": [ "Oxygen optodes", "Aanderaa", "Saturation", "Calibration", "Parameter Discipline::Chemical oceanography::Dissolved gases" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2345.2", "name": "CAPARDUS Deliverable 1.2 Report on Arctic standards, protocols and framework model, Version 1.0 (Revised).", "description": " - Standards can act as common language and practices among actors when aiming to share and use observing systems, data, ensure safety, and many other activities in the Arctic. Equipment manufacturers, observing programs, data producers, citizens, and governments all benefit from the creation of open standards. It is vital that the standards development process ensures that all interested parties work together in the context of openness and transparency. In particular, as data becomes the world\u2019s most valuable resource, it becomes ever more important that the digital ecosystem for data be designed and managed in a way that ensures sufficient user access, transparency, accountability, and quality assurance. This report presents a review of a subset of Arctic domains that could benefit from some level of standardization. Standards are typically technical documents, while standardization is a human process that takes place in an ecosystem of interrelated and interdependent human actors, institutions, norms, and practices (including standards), technologies, information objects, and relationships. To enhance standards adoption, it is equally important to understand the ecosystem and its subsystems (general kinds of things, linkages and flows in the system) and the details of its interacting parts (e.g. the specific organizations, technologies, people and their needs). To manage this complex task, the report introduces a relatively simple framework, supported by emerging advanced information structures (linked open data represented using the Resource Description Framework, ontologies) that help to document and understand the ecosystem to support standards development, maintenance, and implementation. Section 2 establishes that standardization is a challenging and complex process. The term standard can be vague: some may see a standard as a formal set of documents and compliance process, while others see a set of rules or agreements established by a \u201ccommunity\u201d that are based on norms and ethical behaviors. In this broad gradation, there is overlap between more formal top-down standards and bottom-up community developed \u201cconventions\u201d or \u201cbest practices\u201d. To add to the complexity in the Arctic context, standards do not exist in a single research or social domain. Research includes many disciplines, the peoples of the Arctic and focusing on many economic, social, and research opportunities. Governments have a mandate to cover all aspects of the Arctic at the same time as the world experiences dramatic environmental, social and geopolitical change. Section 3 documents the methods used to start the process of developing an arctic standards framework. The initial scope (modified due to COVID-19) included extensive in-person community engagement. The primary method used was a systematic literature review focused on four key domains relevant to standardization: cross-cutting themes, observing, safety and data. Literature reviewed was stored in an online bibliographic database and will be made available for community use through the CAPARDUS website. CAPARDUS Deliverable D1.2 Version 1.1 22 November 2023 page 3 Section 4 presents the results of the work package analysis. Cross-cutting themes such as governance and Indigenous knowledge comprise many entities relevant to enhancing standardization. In the case of governance, the lack of a centralized arctic governance regime makes standardization challenging. Similarly, increasing recognition of Indigenous Knowledge and related topics such as Indigenous data sovereignty and ethical use of representation of Indigenous Knowledge, highlights the critical importance of including Indigenous peoples and their representative organizations in the standardization dialogue. Analysis of the observing system revealed similar patterns. Observing networks and other programs and projects that are relevant to and could act as hubs and provide a foundation for standardization already exist and need to be harnessed. The situation is similar in the domain of arctic data. Relevant organizations within and outside of the arctic community already exist, however, areas such as governance need to be enhanced to move to the next stage of meaningful standardization. Standardization in the areas of operations, hazard response, shipping, and tourism would greatly enhance safety. There are many challenges in achieving safety-related standardization including adequate education and training, funding and recognition of the significant risks posed by failure to establish standards (e.g. sub-optimal to totally inadequate hazard response). Section 4 identifies many concepts important to standardization, and many individual projects, programs and initiatives that are relevant to standardization. These concepts (e.g. governance) and individuals (e.g. the Arctic Data Committee) have existing relationships, or require that relationships be established. These concepts, individuals and relationships are documented and discussed, including references to related resources. A key result of this section is the revelation of the breadth and complexity of the human and technical systems implicated in standards and standardization. Section 5 proposes a method for documenting and understanding an arctic standards framework that represents the various relevant systems of organizations, individuals, technologies etc. Due to the breadth, depth and complexity of the systems involved, a simple report documentation method is not adequate nor able to capture the dynamic nature of standardization through updates. A graph database model that uses the established and standard Resource Description Framework is presented. This prototype-database captures the key concepts (classes), individuals and relationships in the systems as documented in Section 4. This knowledge graph (database) can be a dynamic framework to enhance standardization. Section 6 presents several key results that are critically important in establishing a framework for arctics standardization, among others: \u2022 Implementing standards requires a deep understanding of the domain of interest (e.g. observing, safety, a research discipline) to select the appropriate type of standard and standardization process required. What works for one community of practice may not work for another. \u2022 The Arctic is comprises many domains including communities with Indigenous and non-Indigenous residents, multiple governance models, operational environments, research with many individual disciplines and sub-disciplines, civil society actors, and many social, economic, and environmental dimensions. This complexity prevents development of a simple standards framework for the Arctic. \u2022 A standards framework requires a practical model that can document and analyse this complex system to identify the nodes or entities (standards, people, organizations) that can play a role in enhancing standardization. This must be a \u201cliving\u201d model that engages the community in its construction and is regularly updated to reflect the situation at any given time. \u2022 There are many existing frameworks, programs, projects, and activities that can be leveraged to enhance standardization. In the domains surveyed, there would be little need to establish new organizations or standards bodies to move forward. \u2022 A graph database using the RDF Model is a practical method for documenting and analysing the arctic standards ecosystem. The prototype-database created in CAPARDUS will be made public through the project website, with supporting tools in GitHub. A working group will be proposed under the Arctic Data Committee to continue the development of the CAPARDUS framework in line with recommendations of the Third Arctic Science Ministerial. - , - European Commission Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2345.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2345.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2345.2", "url": "https:\/\/hdl.handle.net\/11329\/2345.2" }, "author": [ { "@type": "Person", "name": "Pulsifer, Peter" }, { "@type": "Person", "name": "Stallemo, Astrid" }, { "@type": "Person", "name": "Hamre, Torill" } ], "contributor": [ { "@type": "Organization", "name": "Nansen Environmental and Remote Sensing Center" } ], "keywords": [ "Standardization", "Protocols", "CAPARDUS Project", "Physical oceanography", "Data interoperability development", "Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2362", "name": "Monitoring Guidance for Underwater Noise in European Seas, Part III: Background Information and Annexes,", "description": " - The Marine Strategy Framework Directive (MSFD) requires European Member States (MS) to develop strategies for their marine waters that should lead to programmes of measures that achieve or maintain Good Environmental Status (GES) in European Seas. As an essential step in reaching good environmental status, MS should establish monitoring programmes enabling the state of the marine waters concerned to be assessed on a regular basis. Criteria and methodological standards on GES of marine waters were published in 2010 (Commission Decision 2010\/477\/EU). Two indicators were described for Descriptor 11 (Noise\/Energy): Indicator 11.1.1 on low and mid frequency impulsive sounds and Indicator 11.2.1 on continuous low frequency sound (ambient noise). As a follow up to the Commission Decision, the Marine Directors in 2010 agreed to establish a Technical Subgroup (TSG) for further development of Descriptor 11 Noise\/Energy. TSG (Underwater) Noise in 2011 focused on clarifying the purpose, use and limitation of the indicators and described methodology that would be unambiguous, effective and practicable; the first report [Van der Graaf et al., 2012] was delivered in February 2012. Significant progress was made in the interpretation and practical implementation of the two indicators, and most ambiguities were solved. In December 2011, EU Marine Directors requested the continuation of TSG Noise, and the group was tasked with recommending how MS might best make the indicators of the Commission Decision operational. TSG Noise was asked first to provide monitoring guidance that could be used by MS in establishing monitoring schemes for underwater noise in their marine waters. Further work includes providing suggestions for (future) target setting; for addressing the biological impacts of anthropogenic underwater noise and to evaluate new information on the effects of sound on marine biota with a view to considering indicators of noise effects. The present document is Part III of the Monitoring Guidance for Underwater Noise in European Seas and provides MS with the background information, examples and references needed to commence the monitoring required to implement this aspect of MSFD. TSG Noise has focussed on ambiguities, uncertainties and other shortcomings that may hinder monitoring initiatives and has provided solutions, and describes methodology for monitoring both impulsive and ambient noise in such a way that information needed for management and policy can be collected in a cost-effective way. TSG Noise has no doubt that further detailed issues will arise once monitoring starts, but hopes the principles laid out in this guidance will help resolve these. The Monitoring Guidance for Underwater Noise is structured, as follows: - Part I: Executive Summary & Recommendations, - Part II: Monitoring Guidance Specification, and - Part III: Background Information and Annexes. Part I of the Monitoring Guidance is the executive summary for policy and decision makers responsible for the adoption and implementation of MSFD at national level. It provides the key conclusions and recommendations presented in Part II that support the practical guidance for MS and will, enable assessment of the current level of underwater noise. Part II, is the main report of the Monitoring Guidance. It provides specifications for the monitoring of underwater noise, with dedicated sections on impulsive noise (Criterion 11.1 of the Commission Decision) and ambient noise (Criterion 11.2 of the Commission Decision) designed for those responsible for implementation of noise monitoring\/modelling, and noise registration. Part III, the background information and annexes, is not part of the guidance, but is added for additional information, examples and references that support the Monitoring Guidance specifications. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2362", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2362", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2362", "url": "https:\/\/hdl.handle.net\/11329\/2362" }, "author": [ { "@type": "Person", "name": "Dekeling, R.P.A." }, { "@type": "Person", "name": "Tasker, M.L." }, { "@type": "Person", "name": "Van der Graaf, A.J." }, { "@type": "Person", "name": "Ainslie, M.A." }, { "@type": "Person", "name": "Andersson, M.H." }, { "@type": "Person", "name": "Andr\u00e9, M." }, { "@type": "Person", "name": "Borsani, J.F." }, { "@type": "Person", "name": "Brensing, K." }, { "@type": "Person", "name": "Castellote, M." }, { "@type": "Person", "name": "Cronin, D." }, { "@type": "Person", "name": "Dalen, J." }, { "@type": "Person", "name": "Folegot, T." }, { "@type": "Person", "name": "Leaper, R." }, { "@type": "Person", "name": "Pajala, J." }, { "@type": "Person", "name": "Redman, P." }, { "@type": "Person", "name": "Robinson, S.P." }, { "@type": "Person", "name": "Sigray, P." }, { "@type": "Person", "name": "Sutton, G." }, { "@type": "Person", "name": "Thomsen, F." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "Wittekind, D." }, { "@type": "Person", "name": "Young, J.V." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Underwater sound", "Underwater noise", "Ambient noise", "TSG Noise", "Marine Strategy Framework Directive (MSFD)", "Human activity", "Anthropogenic contamination", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/974", "name": "Volume 0: Primer for the OGC CDB Standard: Model and Physical Data Store Structure. Version 1.1.", "description": " - The CDB standard defines a standardized model and structure for a single, \u201cversionable,\u201d virtual representation of the earth. A CDB structured data store provides for a geospatial content and model definition repository that is plug-and-play interoperable between database authoring workstations. Moreover, a CDB structured data store can be used as a common online (or runtime) repository from which various simulator client-devices can simultaneously retrieve and modify, in real-time, relevant information to perform their respective runtime simulation tasks. In this case, a CDB is plug-and-play interoperable between CDB-compliant simulators. A CDB can be readily used by existing simulation client-devices (legacy Image Generators, Radar simulator, Computer Generated Forces, etc.) through a data publishing process that is performed on-demand in real-time. The application of CDB to future simulation architectures will significantly reduce runtime-source level and algorithmic correlation errors, while reducing development, update and configuration management timelines. With the addition of the High Level Architecture - -Federation Object Model (HLA\/FOM)1 and DIS protocols, the application of the CDB standard provides a Common Environment to which inter-connected simulators share a common view of the simulated environment. The CDB standard defines an open format for the storage, access and modification of a synthetic environment database. A synthetic environment is a computer simulation that represents activities at a high level of realism, from simulation of theaters of war to factories and manufacturing processes. These environments may be created within a single computer or a vast distributed network connected by local and wide area networks and augmented by super-realistic special effects and accurate behavioral models. SE allows visualization of and immersion into the environment being simulated2. This standard defines the organization and storage structure of a worldwide synthetic representation of the earth as well as the conventions necessary to support all of the subsystems of a full-mission simulator. The standard makes use of several commercial and simulation data formats endorsed by leaders of the database tools industry. A series of associated OGC Best Practice documents define rules and guidelines for data representation of real world features. The CDB synthetic environment is a representation of the natural environment including external features such as man-made structures and systems. A CDB data store can include terrain relief, terrain imagery, three-dimensional (3D) models of natural and manmade cultural features, 3D models of dynamic vehicles, the ocean surface, and the ocean bottom, including features (both natural and man-made) on the ocean floor. In addition, the data store can includes the specific attributes of the synthetic environment data as well as their relationships. The associated CDB Standard Best Practice documents provide a description of a data schema for Synthetic Environmental information (i.e. it merely describes data) for use insimulation. The CDB Standard provides a rigorous definition of the semantic meaning for each dataset, each attribute and establishes the structure\/organization of that data as a schema comprised of a folder hierarchy and files with internal (industry-standard) formats. A CDB conformant data store contains datasets organized in layers, tiles and levels-ofdetail. Together, these datasets represent the features of a synthetic environment for the purposes of distributed simulation applications. The organization of the synthetic environmental data in a CDB compliant data store is specifically tailored for real-time applications. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/974", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/974", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/974", "url": "https:\/\/hdl.handle.net\/11329\/974" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/406", "name": "A Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The CATAMI Classification Scheme.", "description": " - Imagery collected by still and video cameras is an increasingly important tool for minimal impact, repeatable observations in the marine environment. Data generated from imagery includes identification, annotation and quantification of biological subjects and environmental features within an image. To be long-lived and useful beyond their project-specific initial purpose, and to maximize their utility across studies and disciplines, marine imagery data should use a standardised vocabulary of defined terms. This would enable the compilation of regional, national and\/or global data sets from multiple sources, contributing to broadscale management studies and development of automated annotation algorithms. The classification scheme developed under the Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) project provides such a vocabulary. The CATAMI classification scheme introduces Australian-wide acknowledged, standardised terminology for annotating benthic substrates and biota in marine imagery. It combines coarse-level taxonomy and morphology, and is a flexible, hierarchical classification that bridges the gap between habitat\/ biotope characterisation and taxonomy, acknowledging limitations when describing biological taxa through imagery. It is fully described, documented, and maintained through curated online databases, and can be applied across benthic image collection methods, annotation platforms and scoring methods. Following release in 2013, the CATAMI classification scheme was taken up by a wide variety of users, including government, academia and industry. This rapid acceptance highlights the scheme\u2019s utility and the potential to facilitate broad-scale multidisciplinary studies of marine ecosystems when applied globally. Here we present the CATAMI classification scheme, describe its conception and features, and discuss its utility and the opportunities as well as challenges arising from its use. - , - Refereed - , - 14.2 - , - Phytoplankton biomass and diversity; Zooplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/406", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/406", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/406", "url": "https:\/\/hdl.handle.net\/11329\/406" }, "author": [ { "@type": "Person", "name": "Althaus, Franziska" }, { "@type": "Person", "name": "Hill, Nicole" }, { "@type": "Person", "name": "Ferrari, Renata" }, { "@type": "Person", "name": "Edwards, Luke" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Sch\u00f6nberg, Christine H. L." }, { "@type": "Person", "name": "Stuart-Smith, Rick" }, { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Edgar, Graham" }, { "@type": "Person", "name": "Colquhoun, Jamie" }, { "@type": "Person", "name": "Tran, Maggie" }, { "@type": "Person", "name": "Jordan, Alan" }, { "@type": "Person", "name": "Rees, Tony" }, { "@type": "Person", "name": "Gowlett-Holmes, Karen" } ], "keywords": [ "Imagery", "Taxonomy", "Identification", "Controlled vocabularies", "Classification", "Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI)", "Benthos", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Parameter Discipline::Biological oceanography::Underwater photography", "Instrument Type Vocabulary::underwater cameras", "Instrument Type Vocabulary::cameras", "Data Management Practices::Ontology development", "Data Management Practices::Controlled vocabulary development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/419", "name": "CATAMI classification scheme for scoring marine biota and sub-strata in underwater imagery. Version 1.4.", "description": " - Transforming raw underwater imagery into quantitative information useful for science and policy decisions requires substantial manual effort by human experts. This process will soon become unsustainable as the volume of imagery being collected continues to increase due to technological advances in the acquisition and resolution of imagery. Currently there is a lack of standardised approaches to the methodology, annotation, classification and analysis of this imagery. This makes comparison across disparate sites as well as further analysis very difficult. The CATAMI (Collaborative and Annotation Tools for Analysis of Marine Imagery and video) project aims to help solve some of these issues by working with the NERP Marine Biodiversity Hub Theme 1 and the marine community to develop a standard classification scheme for scoring marine biota and physical characteristics from underwater imagery. There is a growing consensus between organisations that collect underwater imagery that greater collaboration is key to ensuring optimal utility from this data. A standardised classification scheme will assist the whole marine community by enabling aggregation, annotation and automated processing of imagery thereby saving resources and maximising the use of the limited number of taxonomic staff. This document will outline the background to this classification and how it will be implemented to ensure researchers make best use of the great variety of imagery from Baited Remote Underwater Video (BRUV), Autonomous Underwater Vehicles (AUV), Towed Video \/ Imagery (TV\/TI), Diver Operated Video (DOV) and Photo Quadrats. - , - Published - , - Editor: Luke Edwards (Pawsey Supercomputing Centre) Contributors: Nicole Hill (UTas \/ IMAS), Franzis Althaus (CSIRO), Tony Rees (CSIRO), Alan Jordan (Dept. of Primary Industries NSW), Jamie Colquhoun (AIMS), Christine Sch\u00f6nberg (AIMS), Mark Case (AIMS), Fiona Scott (UTas), Graham Edgar (UTas), Renata Ferrari Legorreta (Uni of Sydney), Jane Fromont (WA Museum), Rachel Przeslawski (GA), Keith Hayes (CSIRO NERP), Ziggy Marzinelli (SIMS), Ariell Friedman (Uni of Sydney), Lachlan Toohey (Uni of Sydney), Ty Hibberd (AAD), Renae Hovey \/ Gary Kendrick (UWA), Mathew Wyatt (ANDS) - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/419", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/419", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/419", "url": "https:\/\/hdl.handle.net\/11329\/419" }, "contributor": [ { "@type": "Organization", "name": "National Environmental Research Program, Marine Biodiversity Hub" } ], "keywords": [ "CATAMI (Collaborative and Annotation Tools for Analysis of Marine Imagery and video)", "Parameter Discipline::Biological oceanography::Underwater photography", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data acquisition", "Data Management Practices::Ontology development", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/526", "name": "Phytoplankton Functional Types from Space.", "description": " - The concept of phytoplankton functional types has emerged as a useful approach to classifying phytoplankton and can be used to obtain a better understanding of ecological and biogeochemical processes. Recent developments in remote sensing provide a unique opportunity to study some phytoplankton functional types through analysis of ocean-colour data. Remote sensing of phytoplankton functional types is an emerging field, whose potential is not fully realised, nor its limitations clearly established. This report provides an overview of progress to date, examining the advantages and limitations of various methods, and providing suggestions for further development. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: Jim Aiken, S\u00e9verine Alvain, Ray Barlow, Heather Bouman, Astrid Bracher, Robert J. W. Brewin, Annick Bricaud, Christopher W. Brown, Aurea M. Ciotti, Herv\u00e9 Claustre, Lesley Clementson, Susanne E. Craig, Emmanuel Devred, Nick Hardman-Mountford, Takafumi Hirata, Chuanmin Hu, Tihomir S. Kostadinov, Samantha Lavender, Corinne Le Qu\u00e9r\u00e9, Hubert Loisel, Tim S. Moore, Jesus Morales, Cyril Moulin, Colleen B. Mouw, Anitha Nair, Dionysios Raitsos, Collin Roesler, Shubha Sathyendranath, Jamie D. Shutler, Heidi M. Sosik, Inia Soto, Darius Stramski, Venetia Stuart, Ajit Subramaniam and Julia Uitz. - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/526", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/526", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/526", "url": "https:\/\/hdl.handle.net\/11329\/526" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1445", "name": "Report on final assessment of methodological improvements and testing. JERICO-NEXT WP3 Innovations in Technology and Methodology, Deliverable 3.4. Version 2.", "description": " - Deliverable D3.4 is the second and final deliverable of Task 3.2, where a final assessment and testing of all the new developed methodologies related to HF radar data is provided. An impressive suite of new tools is presented, and their impact on the use of HF radars is discussed. HF radars are today a vital and growing part of the observing system in Europe, and Task 3,2, have greatly contributed to this growth through methodological development. The work has been performed in synergy with other WPs, in particular WP4 for testing in specific areas, and WP5 for the elaboration of interoperability standards. Scientific collaborations have included a number of international scientists and institutions also outside the original JERICO-NEXT consortium, Testing has been carried out using data from several installations in various European seas and oceans, including the German Bight, the Bay of Biscay, the West Med, the Adriatic Sea and the Swedish coasts.The developments focus on the following three main aspects, mirroring the three subtasks in Task 3.2: 1) scientific basis for quality control and interoperability standards; 2) methods to optimize installation planning; 3) methods for advanced analyses to be used in practical applications.1.The quality of current retrievals has been investigated, and methods to improve their QC have been developed and tested. A focused scientific investigation has been performed on how to quantify accuracy in the important and challenging case of high current sub-grid variability. The approach, tested in the German Bight, provides general methodological indications that can be applied to different situations. Also, scientific support has been provided to the interoperability effort carried out in the framework of WP5. Improved recommendations for European QC have been investigated thanks to an international collaboration, providing the basis for the results in the WP5 deliverable D5.14.2. Methods to guide the design of HF radar networks have been completed. A cost benefit analysis is made available taking into account the geographical distribution of the requirements and the geographical capabilities of the existing and potential HF radar network. It allows the prioritization of potential new platforms considering their respective contribution into the overall impact of the HF Radar network. As a demonstrator, different scenarios have been assessed for the development of long-range HF Radar network in the Bay of Biscay and north-western Iberian Peninsula. An additional tool has been introduced for considering the variability of the ocean processes at the scale resolved by the targeted observing platform. A number of new products have been implemented for the analyses of HF radar data and their use in practical applications. Methods for blending HF radar data with water column information from ADCP and glider data have been implemented and tested, providing guidance for important future applications toward the integration of different observing system components. Various gap filling methods have been tested and a new one implemented, in order to ensure smooth trajectory computations for transport applications. Innovative flow characterization methods for biological applications have been explored. They include Lagrangian methods to quantify flow transport and retention, and their impact on phytoplankton or larval transport and fishery management, as well as a new class of indexes of small scale divergence and vertical velocities with potential ecosystem impact. Finally, two different approaches to improve transport and flow forecasting using HF radar data have been assessed. - , - Published - , - Contributors: Ainhoa Caballero , Guillaume Charria , Lorenzo Corgnati , Pierre De Mey ,Erick Fredj , Ismael Hernandez-Carrasco ,Gabriel Jord\u00e0 ,Ivan Manso , Carlo Mantovani , Celine Quentin, Emma Reyes,,Jose German Rodriguez , Lohitzune Solabarrieta - , - Refereed - , - Current - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1445", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1445", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1445", "url": "https:\/\/hdl.handle.net\/11329\/1445" }, "author": [ { "@type": "Person", "name": "Griffa, Annalisa" }, { "@type": "Person", "name": "Horstmann, Jochen" }, { "@type": "Person", "name": "Mader, Julien" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Berta, Maristella" }, { "@type": "Person", "name": "Orfila, Alejandro" }, { "@type": "Person", "name": "Axell, Lars" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "HF Radar", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1550", "name": "Best Practices for the Pilot-Scale Cultivation of Microalgae, Public Output report of the EnAlgae project,", "description": " - This document is a compilation of Best Practice recommendations and considerations employed by the EnAlgae microalgal pilot facilities. EnAlgae was a four year Strategic Initiative of INTERREG IVB North West Europe programme. One of the outputs of the EnAlgae project was the development of an integrated network of pilot plants for growing microalgae. An important part of this activity was an exchange of information on optimal pilot operation both with respect to best practices and Standard Operating Procedures (SOPs; documented elsewhere). Best Practices (including recommendations and considerations) are presented for siting a pilot plant; microalgae cultivation (including strain selection, preparation, maintenance and automation of production systems, nutrient sources and addition); harvesting microalgae biomass and biomass valorization. In addition, detailed technical descriptions of the different pilots and the hardware\/software they use in operation have been provided. The document brings together Best Practices used by the microalgal partners to serve as a useful starting point for those new to pilot and commercial scale algal cultivation. - , - EU INTERREG - , - Published - , - Refereed - , - Current - , - 14 - , - Phytoplankton biomass and diversity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1550", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1550", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1550", "url": "https:\/\/hdl.handle.net\/11329\/1550" }, "author": [ { "@type": "Person", "name": "White, D." }, { "@type": "Person", "name": "Silkina, A." }, { "@type": "Person", "name": "Skill, S." }, { "@type": "Person", "name": "Oatley-Radcliffe, D." }, { "@type": "Person", "name": "Van Den Hende, S." }, { "@type": "Person", "name": "Ernst, A." }, { "@type": "Person", "name": "De Viser, C," }, { "@type": "Person", "name": "Van Dijk, W." }, { "@type": "Person", "name": "Davey, M." }, { "@type": "Person", "name": "Day, J." } ], "contributor": [ { "@type": "Organization", "name": "EnAlgae" } ], "keywords": [ "Cyanobacteria", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1819", "name": "Photo-identification Capture-Mark-Recapture Techniques for Estimating Abundance of Bay, Sound and Estuary Populations of Bottlenose Dolphins along the U.S. East Coast and Gulf of Mexico: a Workshop Report.", "description": " - Bay, sound and estuary (BSE) populations of bottlenose dolphins are common along the U.S. Atlantic and Gulf of Mexico coasts. NOAA Fisheries currently identifies 9 BSE stocks in the Atlantic and 32 in the northern Gulf of Mexico. Accurate abundance estimates for these stocks are an essential component of MMPA-mandated stock assessment, yet only three of these BSE stocks have up-to-date abundance estimates. Abundance estimates based on data more than 8 years old are not considered valid for management (i.e., to estimate PBR) under the MMPA and those more than 5 years old drop a stock assessment from adequate to inadequate under the NOAA Fisheries Stock Assessment Improvement Plan. For most stocks in U.S. waters, aerial and\/or large vessel line-transect surveys provide the platforms for abundance estimation. Linetransect \u201cdistance\u201d analysis methods from vessels and planes are relatively well understood and these methods are more or less standardized. While line-transect surveys using small boats may be appropriate for some estuarine systems, such surveys are not suitable when working inside estuarine waters with complex topography and turbid waters. As a result, alternative methodologies have been utilized, most centered around the use of photo-identification (photo- ID) capture-mark-recapture (CMR) techniques. However, CMR studies using photo-ID are more complex in terms of design constraints and analytical methods and do not have a well-defined \u201cstandard\u201d approach for populations of cetaceans residing in topographically complex estuarine habitats. Furthermore, the areas inhabited by most BSE stocks often experience influxes of non-resident animals, further complicating the ability to obtain an abundance estimate for the resident stock alone. In many cases, field methods for collecting photo-ID data, definitions of residency and analytical tools are not standardized across studies of different BSE stocks. These differences in methodologies affect resulting abundance estimates and make comparison of abundance estimates and PBR calculations across different BSE stocks difficult. The Workshop sought to develop agreed upon best practices for fieldwork, photo processing and analytical practices for estimating abundance for estuarine bottlenose dolphin populations in the Southeast United States using CMR methods. - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Validated (tested by third parties) - , - Organisational - , - Species abundances - , - Species distributions - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1819", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1819", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1819", "url": "https:\/\/hdl.handle.net\/11329\/1819" }, "author": [ { "@type": "Person", "name": "Rosel, Patricia" }, { "@type": "Person", "name": "Mullin, Keith" }, { "@type": "Person", "name": "Garrison, Lance" }, { "@type": "Person", "name": "Schwacke, Lori" }, { "@type": "Person", "name": "Adams, Jeff" }, { "@type": "Person", "name": "Balmer, Brian" }, { "@type": "Person", "name": "Conn, Paul" }, { "@type": "Person", "name": "Conroy, Michael" }, { "@type": "Person", "name": "Eguchi, Tomo" }, { "@type": "Person", "name": "Gorgone, Annie" }, { "@type": "Person", "name": "Hohn, Aleta" }, { "@type": "Person", "name": "Mazzoil, Marilyn" }, { "@type": "Person", "name": "Schwarz, Carl" }, { "@type": "Person", "name": "Sinclair, Carrie" }, { "@type": "Person", "name": "Speakman, Todd" }, { "@type": "Person", "name": "Urian, Kim" }, { "@type": "Person", "name": "Vollmer, Nicole" }, { "@type": "Person", "name": "Wade, Paul" }, { "@type": "Person", "name": "Wells, Randall" }, { "@type": "Person", "name": "Zolman, Eric" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Southeast Fisheries Science Center" } ], "keywords": [ "BioICE", "Photo-identification", "IOOS Marine Life", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1631", "name": "Improving Darwin Core for research and management of alien species.", "description": " - To improve the suitability of the Darwin Core standard for the research and management of alien species, the standard needs to express the native status of organisms, how well established they are and how they came to occupy a location. To facilitate this, we propose: This is an open access article distributed under the terms of the CC0 Public Domain Dedication. 1. To adopt a controlled vocabulary for the existing Darwin Core term dwc:establishmentMeans 2. To elevate the pathway term from the Invasive Species Pathways extension to become a new Darwin Core term dwc:pathway maintained as part of the Darwin Core standard 3. To adopt a new Darwin Core term dwc:degreeOfEstablishment with an associated controlled vocabulary These changes to the standard will allow users to clearly state whether an occurrence of a species is native to a location or not, how it got there (pathway), and to what extent the species has become a permanent feature of the location. By improving Darwin Core for capturing and sharing these data, we aim to improve the quality of occurrence and checklist data in general and to increase the number of potential uses of these data. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1631", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1631", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1631", "url": "https:\/\/hdl.handle.net\/11329\/1631" }, "author": [ { "@type": "Person", "name": "Groom, Quentin" }, { "@type": "Person", "name": "Desmet, Peter" }, { "@type": "Person", "name": "Reyserhove, Lien" }, { "@type": "Person", "name": "Adriaens, Tim" }, { "@type": "Person", "name": "Oldoni, Damiano" }, { "@type": "Person", "name": "Vanderhoeven, Sonia" }, { "@type": "Person", "name": "Baskauf, Steven J" }, { "@type": "Person", "name": "Chapman, Arthur" }, { "@type": "Person", "name": "McGeoch, Melodie" }, { "@type": "Person", "name": "Walls, Ramona" }, { "@type": "Person", "name": "Wieczorek, John" }, { "@type": "Person", "name": "Wilson, John R.U." }, { "@type": "Person", "name": "Zermoglio, Paula F. F." }, { "@type": "Person", "name": "Simpson, Annie" } ], "keywords": [ "Invasive species", "Biodiversity data", "Data standards", "Essential Biodiversity Variables", "Non-native species", "Darwin Core", "Biota abundance, biomass and diversity", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1878", "name": "Building digital workforce capacity and skills for data-intensive science.", "description": " - This report looks at the human resource requirements for data intensive science. The main focus is on research conducted in the public sector and the related challenges and training needs. Digitalisation is, to some extent, being driven by science and at the same time it is affecting all aspects of scientific practice. Open Science, including access to data, is being widely promoted and there is increasing investment in cyber-infrastructures and digital platforms but the skills that are required by researchers and research support professionals to fully exploit these tools are not being given adequate attention. The COVID-19 pandemic, which struck as this report was being finalised, has served to emphasise the critical importance of data intensive science and the need to take a strategic approach to strengthen the digital capacity and skills of the scientific enterprise as whole. This report includes policy recommendations for various actors and good practice examples to support these recommendations. - , - Published - , - Current - , - N\/A - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1878", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1878", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1878", "url": "https:\/\/hdl.handle.net\/11329\/1878" }, "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Data stewards", "Cross-discipline", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1146", "name": "The International System of Units (SI) in Oceanography.", "description": " - The report of the IAPSO Working Group introduces the International System of Units (SI) in physical oceanography. The first part is devoted to physical quantities, units and symbols, SI units and basic rules, and specific recommendations for the field of physical sciences of the ocean. The second part consists of the tables of the quantities that are used in physical oceanography (fundamental quantities of sea water, physical properties of pure and sea water, dynamical oceanography, optical oceanography, marine geophysics, marine geochemistry and chemical oceanography). Each table contains its preferred symbol, a short definition if necessary, and its unit in the SI, together with its symbol. Conversion factors between certain units and the corresponding (SI) units are given for dynamical oceanography and marine geophysics. - , - Published - , - This report was prepared under the auspices of the International Association for the Physical Sciences of the Ocean (IAPSO). The first part is a revised version of IAPSO Publication Scientifique No. 31 (SUN Report). - , - Refereed - , - Current - , - 14.a - , - Sea surface salinity - , - Subsurface salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1146", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1146", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1146", "url": "https:\/\/hdl.handle.net\/11329\/1146" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Standard", "Parameter Discipline::Physical oceanography::Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2360", "name": "JERICO-S3 D6.4 - WP6 - Best practices & recommendations for plankton imaging data management. Version 1.1. [Update of DOI: http:\/\/dx.doi.org\/10.25607\/OBP-1742]", "description": " - Plankton imaging instruments are increasingly used to record species occurrences, and they are also able to repeatedly measure ecological traits. However, due to the extensive variety of instruments and the different formats of the data output, there are currently no guidelines and best practices available to store all the relevant data and information in a standard format. Overcoming this challenge will allow for the integration and exchange of these datasets, enabling end users to analyse and visualise them more effectively. To make these data as FAIR (Findable, Accessible, Interoperable, and Reusable) as possible and to share them with international biodiversity data portals, such as the European Marine Observation and Data Network (EMODnet Biology) and the international Ocean Biodiversity Information System (OBIS) Network, like EurOBIS (the European node of OBIS), best practices for the management of plankton imaging data are needed. Thus, the goal of this document is to provide recommendations to plankton imaging users on how to format their data following the OBIS-ENV-DATA format, a Darwin Core based approach to standardise biodiversity data, for submission to these international data portals. These best practices and recommendations are created by an expert working group in the framework of the JERICO-S3 project and by intensive interactions and feedback from the global marine plankton and OBIS community. This document provides (1) an introduction of the current landscape of plankton imaging instruments and the processing of their images, (2) a description of the data standards and format used in biodiversity and guidelines on how to use these, (3) a workflow from instrument to EMODnet Biology, and (4) a discussion on the data management issues identified. With the best practices presented here, it is possible to report a detailed taxonomic characterisation of plankton observations as well as quantitative information that is useful for ecological studies. This format allows biodiversity data portals to extend their scope beyond species occurrence data. Furthermore, proposing the use of more Darwin Core fields in this format, users now have the possibility to publish manually validated datasets, but also datasets produced by fully automated plankton identification workflows. The proposed data and file formats are simple and both human- and machine-readable to automatise workflows. This format will allow data generators to submit enriched plankton imaging datasets to the international biodiversity data portals, (Eur)OBIS and EMODnet Biology. We encourage plankton imaging data generators to implement these workflows into their pipelines, to share their data with the international data portals easily, enriching these databases with this valuable data. - , - European Commission H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2360", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2360", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2360", "url": "https:\/\/hdl.handle.net\/11329\/2360" }, "author": [ { "@type": "Person", "name": "Martin-Cabrera, Patricia" }, { "@type": "Person", "name": "Irisson, Jean-Olivier" }, { "@type": "Person", "name": "Lombard, Fabien" }, { "@type": "Person", "name": "R\u00fchl, Saskia" }, { "@type": "Person", "name": "M\u00f6ller, Klas O." }, { "@type": "Person", "name": "Lindh, Markus" }, { "@type": "Person", "name": "Creach, Veronique" }, { "@type": "Person", "name": "Stemmann, Lars" }, { "@type": "Person", "name": "Schepers, Lennert" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO S3" } ], "keywords": [ "Plankton", "Imaging data", "Imaging sensor", "OBIS data", "FAIR Principles", "Phytoplankton", "Zooplankton", "flow cytometers", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/864", "name": "The KPP Boundary Layer Scheme for the Ocean: revisiting its formulation and benchmarking one-dimensional simulations relative to LES.", "description": " - We evaluate the Community ocean Vertical Mixing project version of the K-profile parameterization (KPP) for modeling upper ocean turbulent mixing. For this purpose, one-dimensional KPP simulations are compared across a suite of oceanographically relevant regimes against horizontally averaged large eddy simulations (LESs).We find the standard configuration of KPP consistent with LES across many forcing regimes, supporting its physical basis. Our evaluation also motivates recommendations for KPP best practices within ocean circulation models and identifies areas where further research is warranted. The original treatment of KPP recommends the matching of interior diffusivities and their gradients to the KPP-predicted values computed in the ocean surface boundary layer (OSBL). However, we find that difficulties in representing derivatives of rapidly changing diffusivities near the base of the OSBL can lead to loss of simulation fidelity. To mitigate this difficulty, we propose and evaluate two computationally simpler approaches: (1) match to the internal predicted diffusivity alone and (2) set the KPP diffusivity to 0 at the OSBL base. We find the KPP entrainment buoyancy flux to be sensitive to vertical grid resolution and details of how to diagnose the KPP boundary layer depth. We modify the KPP turbulent shear velocity parameterization to reduce resolution dependence. Additionally, an examination of LES vertical turbulent scalar flux budgets shows that the KPP-parameterized nonlocal tracer flux is incomplete due to the assumption that it solely redistributes the surface tracer flux. This result motivates further studies of the nonlocal flux parameterization. - , - Refereed - , - 14.A - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/864", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/864", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/864", "url": "https:\/\/hdl.handle.net\/11329\/864" }, "author": [ { "@type": "Person", "name": "Van Roekel, Luke" }, { "@type": "Person", "name": "Adcroft, Alistair J." }, { "@type": "Person", "name": "Danabasoglu, Gokhan" }, { "@type": "Person", "name": "Griffies, Stephen M." }, { "@type": "Person", "name": "Kauffman, Brian" }, { "@type": "Person", "name": "Large, William" }, { "@type": "Person", "name": "Levy, Michael" }, { "@type": "Person", "name": "Reichl, Brandon G." }, { "@type": "Person", "name": "Ringler, Todd" }, { "@type": "Person", "name": "Schmidt, Martin" } ], "keywords": [ "Surface boundary layer", "Turbulence", "Vertical mixing", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1307", "name": "Observing System Simulation Experiments; justifying new Arctic observation capabilities.", "description": " - The Arctic is recognized as one of the key areas of the globe, both in terms of its sensitivity to climate change, and by the increasing economic activity that is expected with the opening up of Arctic areas in a warming climate. In addition, Arctic weather can have important influences in winter cold outbreaks of air which can affect Northern Hemisphere countries as far south as the subtropics with serious economic implications. Therefore, a revised assessment of Arctic satellite and surface observation capabilities and requirements is warranted, especially given the Arctic surface and upper air network is sparse. Observing System Simulation Experiments (OSSEs) are a powerful tool to assess added value of planned or hypothetical observing systems for weather analysis and prediction. This white paper reviews the current state of OSSE science with respect to the Arctic, and provides lines of investigation for the future, with a focus on weather and air quality observations in the Arctic.Recommendations are based on perceived observation gaps in the Arctic, and the experience gained by the World Weather Research Programme-The Observing Systems Research and Predictability Experiments\/Polar Prediction Project (WWRP-THORPEX\/PPP) and the broader OSSE scientific community.1. Definition and motivation of OSSEs Observing System Simulation Experiments (OSSEs) are designed to use data assimilation ideas to investigate the potential impact of future observing systems (observation types and deployments)based on existing observation systems using a model simulation. They may also be used to evaluate current observational and data assimilationsystems. The information obtained from OSSEs is generally difficult, or in some contexts impossible, to obtain inany other way. Although OSSEs require significant resources in computing power and human resources, the cost is a small fraction of actual observing systems. OSSEs also allow preparation of data assimilation system for afuture observing system.Although originally of interest to the meteorological agencies, more recently OSSEs have started to be of interest to the space agencies, forming a key element in the design of future satellite missions. In an OSSE, simulated rather than real observations are theinput to a data assimilation system (DAS); an extended review of the observation types comprising the Global Observing System (GOS) and state-of-the-art data assimilation systems is provided in Lahoz et al.(2010). OSSEs are closely related to Observing System Experiments (OSEs), which test the value of current observation types using data denial experiments. An OSSE is formally similar to an OSE with one important difference: OSSEs assess newdata, i.e., data obtained by hypothetical observing systems that do not yet exist. The OSSE methodology consists of:\u2022Generation and verification of reference atmospheric states. This is usually done with a forecast from a good-quality, realistic atmospheric model in a free-runningmode without data assimilation. This forecast is the Nature Run (NR), providing the \u201ctruth,\u201d from which observations are simulated and against which subsequent OSSE assimilation experiments are verified;\u2022The NR is then used to generate simulated observations, including realistic errors, for existing observing systems and for the hypothetical future observing system;\u2022A control experiment in which current observational data are included; - , - Published - , - Non Refereed - , - Current - , - 14.A - , - 13 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1307", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1307", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1307", "url": "https:\/\/hdl.handle.net\/11329\/1307" }, "author": [ { "@type": "Person", "name": "Masutani, Michiko" }, { "@type": "Person", "name": "Garand, Louis" }, { "@type": "Person", "name": "Lahoz, William" }, { "@type": "Person", "name": "Riish\u00f8jgaard, Lars Peter" }, { "@type": "Person", "name": "Andersson, Erik" }, { "@type": "Person", "name": "Rochon, Yves" }, { "@type": "Person", "name": "Tsyrulnikov, Mikhail" }, { "@type": "Person", "name": "McConnell, John" }, { "@type": "Person", "name": "Cucurull, Lidia" }, { "@type": "Person", "name": "Xie, Yuanfu" }, { "@type": "Person", "name": "Ishii, Shoken" }, { "@type": "Person", "name": "Grumbine, Robert" }, { "@type": "Person", "name": "Brunet, Gilbert" }, { "@type": "Person", "name": "Woollen, John S." }, { "@type": "Person", "name": "Sato, Yoshiaki" } ], "contributor": [ { "@type": "Organization", "name": "NOAA National Centers for Environmental Prediction" } ], "keywords": [ "OSSE (Observing System Simulation Experiment)", "Satellite sensing", "Parameter Discipline::Atmosphere::Meteorology", "OSSE" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1035", "name": "Ingesting, validating, long-term storage and access of Flow Cytometer data.", "description": " - This document highlight the way to integrate the flow cytometry datasets into a database that fits interoperability and meets SDC ingesting procedure in order to make the datasets available through international portals. The works presents the first steps of standardisation of vocabulary dedicated to flow cytometry variables (optical units, abundance) and resolved functional groups (phytoplankton and heterotrophic prokaryotes) thanks to a consortium of international experts. The database and workflow from the sample to the SDC portal, ODV and EMODNET are presented, as well as the first datasets available online. This document is a deliverable of the SeaDataCloud project. This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 730960. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1035", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1035", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1035", "url": "https:\/\/hdl.handle.net\/11329\/1035" }, "author": [ { "@type": "Person", "name": "Lahbib, Soumaya" }, { "@type": "Person", "name": "Claus, Simon" }, { "@type": "Person", "name": "Oset, Paula" }, { "@type": "Person", "name": "Fichaut, Michele" }, { "@type": "Person", "name": "Thyssen, M\u00e9lilotus" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataCloud" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::flow cytometers", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/513", "name": "Minimum Requirements for an Operational, Ocean-Colour Sensor for the Open Ocean.", "description": " - With the advent of increasingly-sophisticated satellite ocean-colour sensors in the late 1990\u2019s, with better radiometric performances and in increased number of spectral channels, an IOCCG working group was formed to determine whether it is possible to satisfy the requirements for an operational ocean-colour mission at low cost based on simple sensors? In particular, can useful information be provided if the sensor is operated with a reduced number of spectral channels? If such a minimal set of bands could be identified, a corollary would be to recommend it for inclusion in all sensors, regardless of their other capabilities and of the larger number of channels they may possess. A commonality in the spectral acquisition provides important practical, as well as scientific, advantages. Indeed, it would allow: easy intercomparison between sensors, and even radiometric intercalibration in well-defined conditions; a full compatibility of operational algorithms for atmospheric correction and derivation of end products; a meaningful data merging, at the level of geophysical products (pigment index, aerosol optical thickness) or at the level of the initial quantities (e.g., spectral normalized radiances); a long-term continuity of ocean-colour observations, based on stable, entirely comparable, parameters; and therefore the building up of a coherent data base for biogeochemical studies and related modeling activities, for physical studies and models (heating rate, mixed layer dynamics), and for climatological purposes involving the radiative budget and the effect of aerosol loading. The deployment of such simple sensors is in no way contradictory to the conception, development and use of more sophisticated instruments, designed for advanced research purposes. Indeed, several sensors will be in simultaneous operation in the near future, with differing capabilities, some complementarity, and a partial planned redundancy. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/513", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/513", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/513", "url": "https:\/\/hdl.handle.net\/11329\/513" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "IOCCG", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1342", "name": "Linking Capacity Development to GOOS Monitoring Networks to Achieve Sustained Ocean Observation.", "description": " - Developing enduring capacity to monitor ocean life requires investing in people and their institutions to build infrastructure, ownership, and long-term support networks. International initiatives can enhance access to scientific data, tools and methodologies, and develop local expertise to use them, but without ongoing engagement may fail to have lasting benefit. Linking capacity development and technology transfer to sustained ocean monitoring is a win-win proposition. Trained local experts will benefit from joining global communities of experts who are building the comprehensive Global Ocean Observing System (GOOS). This two-way exchange will benefit scientists and policy makers in developing and developed countries. The first step toward the GOOS is complete: identification of an initial set of biological Essential Ocean Variables (EOVs) that incorporate the Group on Earth Observations (GEO) Essential Biological Variables (EBVs), and link to the physical and biogeochemical EOVs. EOVs provide a globally consistent approach to monitoring where the costs of monitoring oceans can be shared and where capacity and expertise can be transferred globally. Integrating monitoring with existing international reporting and policy development connects ocean observations with agreements underlying many countries\u2019 commitments and obligations, including under SDG 14, thus catalyzing progress toward sustained use of the ocean. Combining scientific expertise with international capacity development initiatives can help meet the need of developing countries to engage in the agreed United Nations (UN) initiatives including new negotiations for the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction, and the needs of the global community to understand how the ocean is changing. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-09-25 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1342", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1342", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1342", "url": "https:\/\/hdl.handle.net\/11329\/1342" }, "author": [ { "@type": "Person", "name": "Bax, Nicholas J." }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Brainard, Russell" }, { "@type": "Person", "name": "Duffy, Emmett" }, { "@type": "Person", "name": "Dunstan, Piers" }, { "@type": "Person", "name": "Hanich, Quentin" }, { "@type": "Person", "name": "Harden Davies, Harriet" }, { "@type": "Person", "name": "Hills, Jeremy" }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "Muller-Karger, Frank Edgar" }, { "@type": "Person", "name": "Simmons, Samantha" }, { "@type": "Person", "name": "Aburto-Oropeza, O." }, { "@type": "Person", "name": "Batten, Sonia" }, { "@type": "Person", "name": "Benedetti-Cecchi, Lisandro" }, { "@type": "Person", "name": "Checkley, David" }, { "@type": "Person", "name": "Chiba, Sanae" }, { "@type": "Person", "name": "Fischer, Albert" }, { "@type": "Person", "name": "Andersen Garcia, Melissa" }, { "@type": "Person", "name": "Gunn, John" }, { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "Kudela, Raphael M." }, { "@type": "Person", "name": "Marsac, Francis" }, { "@type": "Person", "name": "Obura, David" }, { "@type": "Person", "name": "Shin, Yunne-Jai" }, { "@type": "Person", "name": "Sloyan, Bernadette" }, { "@type": "Person", "name": "Tanhua, Toste" }, { "@type": "Person", "name": "Wilkin, John" } ], "keywords": [ "Capacity Development", "Global Ocean Observing System (GOOS)", "Monitoring", "Technology transfer", "Essential ocean variables (EOV)", "International reporting", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2024", "name": "Guidelines for the monitoring of target non-indigenous species using molecular methods.", "description": " - These guidelines describe the use of molecular methods for detection of target non-indigenous invasive species. The \u201ctarget species\u201d are those that \u201cmeet specific criteria indicating that they may impair or damage the environment, human health, property or resources and are defined for a specific port, State or biogeographic region (IMO, 2007)\u201d. The criteria and procedure for selecting target species are based on the analysis of their relationship with the introduction vector (e.g., ballast water), the basic ecology of the species and their impact on local species, the environment, human health and resource users (Olenin et al. 2016; Gollasch et al., 2020). The Baltic Sea countries have agreed on the list of target species for the Baltic Sea within HELCOM. The list is being continuously revised and updated by a dedicated Correspondence Group. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2024", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2024", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2024", "url": "https:\/\/hdl.handle.net\/11329\/2024" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Non-Indigenous species", "Target species", "Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1782", "name": "iFDO Creation Version 1.0.0. and Supplement, Version 1.0.0.", "description": " - The purpose of this Standard Operating Procedure (SOP) is to document the necessary steps to create FAIR Digital Objects for images (iFDOs) containing standardized metadata for marine research images (photos and videos). The goal of this document is to enable all stakeholders to create iFDO files according to their research needs and use cases and to provide hints as to how the iFDO creation can be conducted by open source software. The scope of this SOP includes the steps from collecting general project information on the image acquisition, the documentation of acquisition steps and the image and metadata curation steps. Included in the iFDOs can be information on the purpose of imaging, on the semantics of objects in the images, on image capture specifics and much more. This SOP provides context and guidance for all of those. Completing the SOP will result in metadata for image data sets that adheres to the international iFDO standard, that enables efficient analysis and browsing of large image data sets in tools like QGIS and BIIGLE. - , - MareHub of the Helmholtz Association - , - Published - , - Current - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1782", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1782", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1782", "url": "https:\/\/hdl.handle.net\/11329\/1782" }, "author": [ { "@type": "Person", "name": "Schoening, Timm" } ], "contributor": [ { "@type": "Organization", "name": "MareHub of the Helmholtz Association" } ], "keywords": [ "Underwater camera", "Video", "Image processing", "iFDO", "Underwater photography", "underwater cameras", "Controlled vocabulary development", "Data acquisition", "Data exchange", "Data interoperability development", "Data management planning and strategy development", "Data quality control", "Data search and retrieval", "Data visualization", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2190", "name": "Developing an ocean best practice: a case study of marine sampling practices from Australia.", "description": " - Since 2012, there has been a surge in the numbers of marine science publications that use the term \u2018best practice\u2019, yet the term is not often defined, nor is the process behind the best practice development described. Importantly a \u2018best practice\u2019 is more than a documented practice that an individual or institution uses and considers good. This article describes a rigorous process to develop an ocean best practice using examples from a case study from Australia in which a suite of nine standard operating procedures were released in 2018 and have since become national best practices. The process to develop a best practice includes three phases 1) scope and recruit, 2) develop and release, 3) revise and ratify. Each phase includes 2-3 steps and associated actions that are supported by the Ocean Best Practices System (www.oceanbestpractices.org). The Australian case study differs from many other practices, which only use the second phase (develop and release). In this article, we emphasize the value of the other phases to ensure a practice is truly a \u2018best practice\u2019. These phases also have other benefits, including higher uptake of a practice stemming from a sense of shared ownership (from scope and recruit phase) and currency and accuracy (from revise and ratify phase). Although the process described in this paper may be challenging and time-consuming, it optimizes the chance to develop a true best practice that is a) fit-for-purpose with clearly defined scope; b) representative and inclusive of potential users; c) accurate and effective, reflecting emerging technologies and programs; and d) supported and adopted by users. - , - Refereed - , - 14.a - , - Mature - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2190", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2190", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2190", "url": "https:\/\/hdl.handle.net\/11329\/2190" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Gibbons, Brooke" }, { "@type": "Person", "name": "Jordan, Alan" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Picard, Kim" }, { "@type": "Person", "name": "Pini-Fitzsimmons, Joni" }, { "@type": "Person", "name": "van Ruth, Paul" }, { "@type": "Person", "name": "Williams, Joel" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/495", "name": "Best Practices for Scientific Computing.", "description": " - Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. We describe a set of best practices for scientific software development that have solid foundations in research and experience, and that improve scientists' productivity and the reliability of their software. Software is as important to modern scientific research as telescopes and test tubes. From groups that work exclusively on computational problems, to traditional laboratory and field scientists, more and more of the daily operation of science revolves around developing new algorithms, managing and analyzing the large amounts of data that are generated in single research projects, combining disparate datasets to assess synthetic problems, and other computational tasks. Scientists typically develop their own software for these purposes because doing so requires substantial domain-specific knowledge. As a result, recent studies have found that scientists typically spend 30% or more of their time developing software [1],[2]. However, 90% or more of them are primarily self-taught [1],[2], and therefore lack exposure to basic software development practices such as writing maintainable code, using version control and issue trackers, code reviews, unit testing, and task automation. - , - Refereed - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/495", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/495", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/495", "url": "https:\/\/hdl.handle.net\/11329\/495" }, "author": [ { "@type": "Person", "name": "Wilson, G." }, { "@type": "Person", "name": "Aruliah, D. A." }, { "@type": "Person", "name": "Brown, C.T." }, { "@type": "Person", "name": "Chue Hong, N.P." }, { "@type": "Person", "name": "Davis, M." }, { "@type": "Person", "name": "Guy, R.T." }, { "@type": "Person", "name": "Haddock, S.H.D." }, { "@type": "Person", "name": "Huff, K.D." }, { "@type": "Person", "name": "Mitchell, I.M." }, { "@type": "Person", "name": "Plumbley, M.D." }, { "@type": "Person", "name": "Waugh, B." }, { "@type": "Person", "name": "White, E.P." }, { "@type": "Person", "name": "Wilson, P." } ], "keywords": [ "Software development", "Research validity", "Programming language", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/467", "name": "Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment.", "description": " - Zooplankton are the intermediate trophic level between phytoplankton and fish, and are an important component of carbon and nutrient cycles, accounting for a large proportion of the energy transfer to pelagic fishes and the deep ocean. Given zooplankton\u2019s importance, models need to adequately represent zooplankton dynamics. A major obstacle, though, is the lack of model assessment. Here we try and stimulate the assessment of zooplankton in models by filling three gaps. The first is that many zooplankton observationalists are unfamiliar with the biogeochemical, ecosystem, and size-based and individual-based models that have zooplankton functional groups, so we describe their primary uses and how each typically represents zooplankton. The second gap is that many modelers are unaware of the zooplankton data that are available, and are unaccustomed to the different zooplankton sampling systems, so we describe the main sampling platforms and discuss their strengths and weaknesses for model assessment. Filling these gaps in our understanding of models and observations provides the necessary context to address the last gap \u2013 a blueprint for model assessment of zooplankton. We detail two ways that zooplankton biomass\/abundance observations can be used to assess models: data wrangling that transforms observations to be more similar to model output; and observation models that transform model outputs to be more like observations. We hope that this review will encourage greater assessment of zooplankton in models and ultimately improve the representation of their dynamics. - , - Refereed - , - Zooplankton biomass and diversity - , - Guide - , - 2016-08-03 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/467", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/467", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/467", "url": "https:\/\/hdl.handle.net\/11329\/467" }, "author": [ { "@type": "Person", "name": "Everett, Jason D." }, { "@type": "Person", "name": "Baird, Mark E." }, { "@type": "Person", "name": "Buchanan, Pearse" }, { "@type": "Person", "name": "Bulman, Cathy" }, { "@type": "Person", "name": "Davies, Claire" }, { "@type": "Person", "name": "Downie, Ryan" }, { "@type": "Person", "name": "Griffiths, Chris" }, { "@type": "Person", "name": "Heneghan, Ryan" }, { "@type": "Person", "name": "Kloser, Rudy J." }, { "@type": "Person", "name": "Laiolo, Leonardo" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Lozano-Montes, Hector" }, { "@type": "Person", "name": "Matear, Richard J." }, { "@type": "Person", "name": "McEnnulty, Felicity" }, { "@type": "Person", "name": "Robson, Barbara" }, { "@type": "Person", "name": "Rochester, Wayne" }, { "@type": "Person", "name": "Skerratt, Jenny" }, { "@type": "Person", "name": "Smith, James A." }, { "@type": "Person", "name": "Strzelecki, Joanna" }, { "@type": "Person", "name": "Suthers, Iain M." }, { "@type": "Person", "name": "Swadling, Kerrie M." }, { "@type": "Person", "name": "van Ruth, Paul" }, { "@type": "Person", "name": "Richardson, Anthony J." } ], "keywords": [ "Zooplankton", "Modelling", "Continuous plankton recorder", "Ecosystem models", "Net sampling", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::plankton recorders", "Instrument Type Vocabulary::plankton counters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2147", "name": "Shared Arctic Variable Framework Links Local to Global Observing System Priorities and Requirements.", "description": " - The geographic settings and interests of diverse groups of rights- and stakeholders figure prominently in the need for internationally coordinated Arctic observing systems. Global and regional observing systems exist to coordinate observations across sectors and national boundaries, leveraging limited resources into widely available observational data and information products. Observing system design and coordination approaches developed for more focused networks at mid- and low latitudes are not necessarily directly applicable in more complex Arctic settings. Requirements for the latter are more demanding because of a greater need for cross-disciplinary and cross-sectoral prioritization and refinement from the local to the pan-Arctic scale, in order to maximize the use of resources in challenging environmental settings. Consideration of Arctic Indigenous Peoples\u2019s observing priorities and needs has emerged as a core tenet of governance and coordination frameworks. We evaluate several different types of observing systems relative to the needs of the Arctic observing community and information users to identify the strengths and weaknesses of each framework. A typology of three approaches emerges from this assessment: \u201cessential variable,\u201d \u201cstation model,\u201d and \u201ccentral question.\u201d We define and assess, against the requirements of Arctic settings, the concept of shared Arctic variables (SAVs) emerging from the Arctic Observing Summit 2020 and prior work by the Sustaining Arctic Observing Networks Road Mapping Task Force. SAVs represent measurable phenomena or processes that are important enough to multiple communities and sectors to make the effort to coordinate observation efforts worthwhile. SAVs align with essential variables as defined, for example, by global observing frameworks, in that they guide coordinated observations across processes that are of interest to multiple sectors. SAVs are responsive to the information needs of Arctic Indigenous Peoples and draw on their capacity to codesign and comanage observing efforts. SAVs are also tailored to accommodate the logistical challenges of Arctic operations and address unique aspects of the Arctic environment, such as the central role of the cryosphere. Specific examples illustrate the flexibility of the SAV framework in reconciling different observational approaches and standards such that the strengths of global and regional observing programs can be adapted to the complex Arctic environment. - , - Published 2023 - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2147", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2147", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2147", "url": "https:\/\/hdl.handle.net\/11329\/2147" }, "author": [ { "@type": "Person", "name": "Bradley, Alice" }, { "@type": "Person", "name": "Eicken, Hajo" }, { "@type": "Person", "name": "Lee, Olivia" }, { "@type": "Person", "name": "Gebruk, Anna" }, { "@type": "Person", "name": "Pirazzini, Roberta" } ], "keywords": [ "SAVs", "Shared Arctic Variable (SAV)", "Arctic Observing Summit", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/155", "name": "Methodological guide to integrated coastal zone management.", "description": " - The aim of this guide is to assist in the organisation of environmental information and thus to contribute to the concerted preparation of management plans which should be implemented by all the environmental actors : decision-makers, managers, users and scientists. The proposed methodological approach provides the unifying thread for the user of this guide. It comprises a certain number of stages which lead to the formulation of the management objectives. The assistance given contributes finally to the definition of the real management strategy to be applied (plan, diagram, programme of action and follow up). The architecture of this methodological approach is organised around a master chart, referred to as \u201cStages in the Approach\u201d. This indicates the different stages to be followed for the definition of a management plan. This master chart is fed by two types of input data which constitute the information. - , - check with SCG Chair (Craig Donlan) - , - Published - , - Methodological approach - , - This document is available in English and French versions - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/155", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/155", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/155", "url": "https:\/\/hdl.handle.net\/11329\/155" }, "author": [ { "@type": "Person", "name": "Brusseau, P." }, { "@type": "Person", "name": "Brigand, L." }, { "@type": "Person", "name": "Denis, J." }, { "@type": "Person", "name": "G\u00e9rard, B." }, { "@type": "Person", "name": "Grignon-Logerot, C." }, { "@type": "Person", "name": "H\u00e9nocque, Y." }, { "@type": "Person", "name": "Lointier, M." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Coastal zone management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2485", "name": "ICCAT Manual, (2005-2016).", "description": " - Tunas and other large highly-migratory species are typically assessed and managed through international arrangements. Since the distribution of such stocks is not limited to the waters of any single sovereign nation, such arrangements are necessary in order to share the available research and fishery information. The International Commission for the Conservation of Atlantic Tunas is responsible for the conservation of tunas and tuna-like species in the Atlantic Ocean and adjacent seas. The organization was established at a Conference of Plenipotentiaries, which prepared and adopted the International Convention for the Conservation of Atlantic Tunas signed in Rio de Janeiro, Brazil, in 1966. After a ratification process, the Convention entered formally into force in 1969. The official languages of ICCAT are English, French and Spanish. The Commission's work requires the collection and analysis of statistical information relative to current conditions and trends of the fishery resources in the Convention. About 30 species are covered by the Convention: Atlantic bluefin (Thunnus thynnus thynnus), yellowfin (Thunnus albacares), albacore (Thunnus alalunga), bigeye tuna (Thunnus obesus) and skipjack (Katsuwonus pelamis); swordfish (Xiphias gladius); billfishes such as white marlin (Tetrapturus albidus), blue marlin (Makaira nigricans), sailfish (Istiophorus albicans) and spearfish (Tetrapturus pfluegeri & T. belone); mackerels such as spotted Spanish mackerel (Scomberomorus maculatese) and king mackerel (Scomberomorus cavalla); and, small tunas like black skipjack (Euthynnus alletteratus), frigate tuna (Auxis thazard), and Atlantic bonito (Sarda sarda). Southern bluefin tuna (Thunnus maccoyii) is also part of the Convention, although currently the primary responsibility for assessing and managing this species rests with the Commission for the Conservation of Southern Bluefin Tuna (CCSBT). Other species, although not explicitly mentioned in the Convention, are also of interest to ICCAT. This is the case of some species that are caught incidentally by tuna fleets and that are not managed directly through other international arrangements. These currently include pelagic oceanic sharks such as shortfin mako (Isurus oxyrinchus) and blue shark (Prionace glauca).For several years, SCRS scientists have recognized the need to update the ICCAT Field Manual (the last version was published in 1990). In addition, it has been noted that a revision should be broader in scope than the current version. The Commission has also noted the need for a publication that compiles all of the data submission forms in order to facilitate the reporting requirements of Contracting Parties. _________________________________________________________ The publication will be of use to a wide audience, maintaining scientists as the primary intended users. Various chapters of a general nature should allow readers to understand how ICCAT works and what is the role of statistics and research within the system. Other chapters would contain technical guidelines for species identification or for sampling, and appendices that specify the formats with which data should be submitted to the Secretariat. The ICCAT Manual is under development. The table below provides links to sections that have already been developed. - , - AZTI; European Commission - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2485", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2485", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2485", "url": "https:\/\/hdl.handle.net\/11329\/2485" }, "keywords": [ "Tuna", "Bluefin tuna", "Abundance", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1899", "name": "Particle motion: the missing link in underwater acoustic ecology.", "description": " - 1. Sound waves in water have both a pressure and a particle-motion component, yet few studies of underwater acoustic ecology have measured the particle-motion component of sound. While mammal hearing is based on detection of sound pressure, fish and invertebrates (i.e. most aquatic animals) primarily sense sound using particle motion. Particle motion can be calculated indirectly from sound pressure measurements under certain conditions, but these conditions are rarely met in the shelf-sea and shallow-water habitats that most aquatic organisms inhabit. Direct measurements of particle motion have been hampered by the availability of instrumentation and a lack of guidance on data analysis methods. 2. Here, we provide an introduction to the topic of underwater particle motion, including the physics and physiology of particle-motion reception. We include a simple computer program for users to determine whether they are working in conditions where measurement of particle motion may be relevant. We discuss instruments that can be used to measure particle motion and the types of analysis appropriate for data collected. A supplemental tutorial and template computer code in MATLAB will allow users to analyse impulsive, continuous and fluctuating sounds from both pressure and particle-motion recordings. 3. A growing body of research is investigating the role of sound in the functioning of aquatic ecosystems, and the ways in which sound influences animal behaviour, physiology and development. This work has particular urgency for policymakers and environmental managers, who have a responsibility to assess and mitigate the risks posed by rising levels of anthropogenic noise in aquatic ecosystems. As this paper makes clear, because many aquatic animals senses sound using particle motion, this component of the sound field must be addressed if acoustic habitats are to be managed effectively. - , - Refereed - , - 14.a - , - Ocean sound - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1899", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1899", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1899", "url": "https:\/\/hdl.handle.net\/11329\/1899" }, "author": [ { "@type": "Person", "name": "Nedelec, Sophie L." }, { "@type": "Person", "name": "Campbell, James" }, { "@type": "Person", "name": "Radford, Andrew N." }, { "@type": "Person", "name": "Simpson, Stephen D." }, { "@type": "Person", "name": "Merchant, Nathan D." } ], "keywords": [ "Accelerometer", "Invertebrates", "Bioacoustics", "Underwater accoustics", "paPAM", "Underwater sound", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/667", "name": "Biological effects of contaminants: measurement of scope for growth in mussels.", "description": " - Scope for growth (SFG) is a method of assessing the whole-animal physiological response to sublethal stress induced by pollutants. It has been applied widely in small- and large-scale pollution monitoring programmes in various regions of the world, ranging from temperate to tropical. SFG was primarily developed for use with suspension-feeding mussels (Mytilus edulis or similar indigenous species) and in combination with the analysis of chemical contaminants in mussel tissues. SFG is based on the measurement of physiological responses, such as feeding and respiration rate, and is derived from the difference between energy acquisition (rate of feeding and digestion) and energy expenditure (metabolic rate). The method has been successfully tested nationally in a range of UK monitoring programmes and internationally as part of IOC (Intergovernmental Oceanographic Commission) Biological Effects Workshops to evaluate and compare pollution effects measurements at different levels of biological organization. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Zooplankton biomass and diversity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/667", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/667", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/667", "url": "https:\/\/hdl.handle.net\/11329\/667" }, "author": [ { "@type": "Person", "name": "Widdows, John" }, { "@type": "Person", "name": "Staff, Fred" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Mytilus edulis", "Sublethal stress response", "Pollution monitoring", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/183", "name": "Guide to IGOSS specialized oceanographic centres (SOCs).", "description": " - Published - , - IGOSS, Specialised Oceanographic centres, SOCs, Fonction, products, Information exchange, development plan - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/183", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/183", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/183", "url": "https:\/\/hdl.handle.net\/11329\/183" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanographic institutions", "Oceanography", "Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1861", "name": "INTERACT Management planning for Arctic and northern alpine research stations \u2013 Examples of good practices.", "description": " - This book is about management of arctic and northern alpine research stations. It has been produced by a group of station managers participating in the EU 7th Framework Programme Infrastructure project called INTERACT. With this book we want to share the knowledge and experiences we have gained from managing very different research stations in very different environmental and climatic settings. The target audience for the book is mainly managers of research stations in arctic and alpine areas, but we hope that it will also be useful for others involved in science coordination and logistics, e.g. research institutions, chief scientists and expedition planners. The book has been produced mainly based on input from practising station managers being part of \u2018INTERACT Station Managers\u2019 Forum (SMF), a forum established to provide a platform for exchange of information between station managers and other participants within INTERACT, and to collect and disseminate knowledge embedded within the network. The scope of this book is to identify and describe best practices and key considerations of relevance to station management under arctic and alpine conditions. As research stations operate under very different legal regimes, financial conditions, environmental and climatic conditions, as well as remoteness, it is not possible to identify specific best practices that fit all stations. Instead, we have described key issues that should be considered and addressed by station management, and supplemented this with examples of good practices from stations operating under different conditions (e.g. different climate, remoteness or size). The participating station managers have selected a number of themes that should be covered by the book: 1. Management planning. 2. Policies. 3. Staff. 4. Visitors. 5. Permit issues. 6. Health and safety. 7. Environmental impact. 8. Outreach and marketing. 9. Research and monitoring. 10. Training and education. 11. Knowledge capture and data management. - , - European Union, INTERACT - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1861", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1861", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1861", "url": "https:\/\/hdl.handle.net\/11329\/1861" }, "author": [ { "@type": "Person", "name": "Topp-J\u00f8rgensen, Elmer" }, { "@type": "Person", "name": "Rasch, Morten" }, { "@type": "Person", "name": "Elger, Kirsten" }, { "@type": "Person", "name": "Vincent, Warwick" } ], "contributor": [ { "@type": "Organization", "name": "Aarhus University, DCE \u2013 Danish Centre for Enviroment and Energy" } ], "keywords": [ "Research station management", "Management practicres", "INTERACT", "Administration and dimensions", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1249", "name": "Guideline to marine litter monitoring.", "description": " - The following guide was produced by the Sustainable Seas Trust through its African Marine Waste Network project as part of a consultancy with the Western Indian Ocean Marine Science Association. It includes capacity building contributions. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1249", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1249", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1249", "url": "https:\/\/hdl.handle.net\/11329\/1249" }, "author": [ { "@type": "Person", "name": "Ribbink, A." }, { "@type": "Person", "name": "Baleta, T." }, { "@type": "Person", "name": "Martin, S." }, { "@type": "Person", "name": "Mbongwa, N." }, { "@type": "Person", "name": "Bray, D." } ], "contributor": [ { "@type": "Organization", "name": "Western Indian Ocean Marine Science Association" } ], "keywords": [ "Marine litter", "Marine plastics", "Monitoring", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/441", "name": "Sustaining Ocean Observations to Understand Future Changes in Earth\u2019s Climate.", "description": " - This report builds on the inputs from many in the ocean science community, reflecting what was learned at a workshop convened by the committee and a number of invited presentations. The contributors are listed in the Acknowledgments section. The committee is also greatly indebted to Study Directors Susan Roberts and Emily Twigg, April Melvin, and staff from the Ocean Studies Board and the Board on Atmospheric Sciences and Climate. This report came to fruition through their efforts. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/441", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/441", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/441", "url": "https:\/\/hdl.handle.net\/11329\/441" }, "contributor": [ { "@type": "Organization", "name": "The National Academies Press" } ], "keywords": [ "Ocean observations", "Climate change", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/469", "name": "NEMO Best Practices for Intel\u00ae Cluster Ready.", "description": " - NEMO (Nucleus for European Modeling of the Ocean) is a state-of-the-art modeling framework for oceanographic research and operational oceanography. The core of the system is a primitive equation model applied to both regional and global ocean circulation. It is intended to be a flexible tool for studying the ocean, the sea-ice and its interactions with the others components of the earth climate system (atmosphere, land-surfaces, vegetation). NEMO is written in Fortran 90 and is parallelized with a domain decomposition using MPI library. All outputs are done with NetCDF library. This benchmark has been built to test the performances of the OPA OGCM component (released 9.0) on various HPC platforms. It is part of DEISA benchmark suite. - , - Published - , - Current - , - Surface currents - , - Subsurface currents - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/469", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/469", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/469", "url": "https:\/\/hdl.handle.net\/11329\/469" }, "contributor": [ { "@type": "Organization", "name": "HPV Advisory Council" } ], "keywords": [ "Ocean circulation", "Modelling", "Ocean model", "Nucleus for European Modeling of the Ocean (NEMO)", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2391", "name": "Data Discoverability and Accessibility Report from July 2019 Workshop on Marine Imagery.", "description": " - There are increasing incentives for marine researchers to share their data, but the will of the marine community to share data has often not yet caught up with our capabilities. Marine imagery and associated annotation, for example, can be collected and analysed with various gear and digital platforms, and there is a large body of legacy imagery and an increasing rate of image collection due to technological advances. As the volume of marine imagery grows, so has the need to establish a national workflow for making it discoverable and accessible. To meet this need, a series of workshops on data discoverability and accessibility were coordinated by the NESP Marine Hub in 2018 and 2019. This report focuses on the Marine Imagery Discoverability & Accessibility Workshop II held on 25 July 2019 at CSIRO, Hobart. The overarching aim of the 2019 marine imagery workshop was to 1) assess the progress made in the past year regarding the discoverability and accessibility of marine imagery and 2) to refine the 2018 recommendations to specify priority, feasibility, and responsibility. The workshop included a range of presentations, activities, and discussions designed to shift participants\u2019 thinking to end users, rather than their own perspectives based on their roles in the marine imagery pipeline. Workshop participants identified the top five barriers to making marine imagery discoverable and accessible: \u2022 Limited institutional support or long-term funding for some digital platforms, \u2022 Lack of a centralised image and annotation repository or tracking system to ensure FAIR (findable, accessible, interoperable, reusable) data, \u2022 No governance or oversight for the entire marine imagery community, \u2022 Bottlenecks during processing, imagery upload, and annotation in digital platforms, \u2022 Limited communication between major Australian marine imagery groups. For each of the challenges, a set of revised recommendations and actions was developed. The highest-priority actions were to 1) establish a governance body or oversight group to provide broad strategic direction as related to the general marine science community, and 2) establish an ongoing marine imagery node to develop a national workflow to ensure the discoverability and accessibility of marine imagery (i.e. progress the actions listed in the current report). All other recommendations listed in this report are underpinned by the establishment, operation, and collaboration between an oversight group and an implementation group. Importantly, marine imagery and annotation are means to an end, and the primary focus needs to be on understanding and meeting requirements for science and management, not on the sampling gear or digital platforms themselves. There appears much to be gained by AIMS and the IMOS community (which includes AIMS) working closely together to ensure that workflows and infrastructures across their initiatives (e.g. Squidle+, Benthobox\/ReefCloud) are compatible and interoperable as required. It is now evident that marine imagery acquisition and annotation, for still and video and for both mono and stereo imagery, is reaching a level of maturity within Australia that would benefit from a more facilitated national approach. The recommendations listed in this report provide such a way forward, but they will require sustained effort and drive to progress, at both the individual and organisational level. - , - https:\/\/doi.org\/10.25607\/OBP-1970 - , - Published - , - Refereed - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2391", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2391", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2391", "url": "https:\/\/hdl.handle.net\/11329\/2391" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Bax, Narissa" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Heupel, Michelle" }, { "@type": "Person", "name": "Jansen, Jan" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Moltmann, Tim" }, { "@type": "Person", "name": "Pocklington, Jacqui" }, { "@type": "Person", "name": "Stuart-Smith, Rick" }, { "@type": "Person", "name": "Wyatt, Mat" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia, Marine Biodiversity Hub" } ], "keywords": [ "Imagery", "Biological specimens", "Data discoverability", "Accessibility", "Underwater photography", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1698", "name": "MEDIN data guideline for acoustic Doppler current profiler (ADCP) data. Version 2.0.", "description": " - This guideline defines the format of data and information produced from the observation of currents using acoustic Doppler current profiler (ADCP) methods to support Marine Hydrographic and Geophysical Survey. Used correctly the guideline facilitates easy use and reuse of the data. An Excel template is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1698", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1698", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1698", "url": "https:\/\/hdl.handle.net\/11329\/1698" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Hydrography", "Oceanography", "Current", "Acoustic Doppler current profiler (ADCP)", "Current profilers", "Survey current measurements.", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1419", "name": "Best Practices for Shale Core Handling: Transportation, Sampling and Storage for Conduction of Analyses.", "description": " - Drill core shale samples are critical for palaeoenvironmental studies and potential hydrocarbon reservoirs. They need to be preserved carefully to maximise their retention of reservoir condition properties. However, they are susceptible to alteration due to cooling and depressurisation during retrieval to the surface, resulting in volume expansion and formation of desiccation and micro fractures. This leads to inconsistent measurements of different critical attributes, such as porosity and permeability. Best practices for core handling start during retrieval while extracting from the barrel, followed by correct procedures for transportation and storage. Appropriate preservation measures should be adopted depending on the objectives of the scientific investigation and core coherency, with respect to consolidation and weathering. It is particularly desirable to maintain a constant temperature of 1 to 4 \u00b0C and a consistent relative humidity of >75% to minimise any micro fracturing and internal moisture movement in the core. While core re-sampling, it should be ensured that there is no further core compaction, especially while using a hand corer - , - Refereed - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1419", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1419", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1419", "url": "https:\/\/hdl.handle.net\/11329\/1419" }, "author": [ { "@type": "Person", "name": "Basu, S." }, { "@type": "Person", "name": "Jones, A." }, { "@type": "Person", "name": "Mahzari, P." } ], "keywords": [ "Shale", "Drill core instability", "Micro fracture", "Clay minerals", "Parameter Discipline::Marine geology::Field geophysics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/703", "name": "Determination of polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, and dioxin-like polychlorinated biphenyls in biota and sediment.", "description": " - Polychlorinated dibenzo\u2010p\u2010dioxins, polychlorinated dibenzofurans (PCDD\/Fs) and polychlorinated biphenyls (PCBs) are environmental contaminants regulated by the Stockholm Convention of Persistent Organic Pollutants. Being hydrophobic and lipophilic, these compounds accumulate in the marine environment in sediments and lipid\u2010rich tissue of marine organisms, making these matrices preferred media for environmental monitoring. This document focuses on the analysis of PCDD\/Fs and dioxin\u2010like PCBs (i.e. non\u2010ortho and mono\u2010ortho PCBs), which have a similar planar molecular structure to PCDD\/Fs and, therefore, exhibit similar toxic effects. Because concentrations in the environment are low and common analytical methods result in co\u2010extractions of a large variety of potentially interfering compounds, analytical procedures are complex. This document includes comments and advice on sampling and sample pretreatment steps, suitable extraction and clean\u2010up procedures as well as preconcentration methods. It highlights the importance of extract clean\u2010up and the risk of contamination. Furthermore, suitable methods for instrumental analysis are discussed for gas chromatographic separation, compound identification, and quantification and detection methods. Although high\u2010resolution mass spectrometry often is the method of choice, low\u2010resolution mass spectrometry can also provide sufficiently sensitive analyses, in particular for screening purposes. In this context, bioassays can also play a role, reflecting a cumulative toxicity rather than concentrations of individual congeners. The paper also discusses general aspects of good laboratory practice, quality assurance\/quality control, and laboratory safety. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/703", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/703", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/703", "url": "https:\/\/hdl.handle.net\/11329\/703" }, "author": [ { "@type": "Person", "name": "Vorkamp, Katrin" }, { "@type": "Person", "name": "Roose, Patrick" }, { "@type": "Person", "name": "Bersuder, Philippe" }, { "@type": "Person", "name": "Webster, Lynda" }, { "@type": "Person", "name": "Lepom, Peter" }, { "@type": "Person", "name": "Munschy, Catherine" }, { "@type": "Person", "name": "Bossi, Rossana" }, { "@type": "Person", "name": "Tronczynski, Jacek" }, { "@type": "Person", "name": "de Boer, Jacob" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/370", "name": "The WMO Voluntary Observing Ships' Scheme.", "description": " - The international scheme under which ships plying the various oceans and seas of the world are recruited for taking and transmitting meteorological observations is known as the WMO Voluntary Observing Ships\u2019 Scheme. The forerunner of the scheme dates back to 1853, the year in which delegates of 10 maritime countries came together at a conference in Brussels, on the initiative of Lieutenant Matthew F. Maury, then director of the U.S. Navy Hydrographic Office, to discuss the establishment of a uniform system for the collection of meteorological and oceanographic data from the oceans and their use for the benefit of shipping. In the twentieth century, the system was recognized in the International Convention for the Safety of Life at Sea (SOLAS)as amended, which specifies in Regulation 5 of Chapter V \u2014 Safety of navigation \u2014 that \u2018the Contracting Governments undertake to encourage the collection of meteorological data by ships at sea and to arrange for their examination, dissemination and exchange in the manner most suitable for the purpose of aiding navigation\u2019. - , - Published - , - This document provides for the latest version, approved by JCOMM-III, of chapter 6, \"The WMO Voluntary Observing Ship's Scheme\" of WMO Publication No. 471, Guide to Marine Meteorological Services - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/370", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/370", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/370", "url": "https:\/\/hdl.handle.net\/11329\/370" }, "contributor": [ { "@type": "Organization", "name": "WMO-JCOMM" } ], "keywords": [ "VOS", "Voluntary observing ships", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1540", "name": "Evolving and Sustaining Ocean Best Practices Workshop IV, 18; 21-25 & 30 Sep 2020 [Online]: Proceedings, Volumes 1 & 2.", "description": " - The 4th Evolving and Sustaining Ocean Best Practices Workshop was held online during the period 17-30 September 2020, addressing community needs for advanced method development and implementation in ocean observations, data management and applications. The workshop consisted of three plenary sessions and eleven Working Group meetings. These Working Groups, who met multiple times during 21-24 September, included topics in: Convergence of methods and endorsement of best practices Data and information management: towards globally scalable interoperability Developing community capacities for the creation and use of best practices Ethics and best practices for ocean observing and applications Fisheries Marine Litter\/Plastics Omics\/eDNA Partnership Building Sargassum Surface Radiation Uncertainty Quantification The workshop participants came from across the globe (see Figure 1 under Participants) and had a wide range of interests relating to the ocean. The workshop focused on ways that ocean observing across the value chain (from observations to end user decisions) can use best practices to improve interoperability and our knowledge of the oceans. Ocean practitioners collaboratively addressed best practices as well as recommendations for the Ocean Best Practices System (OBPS) which will guide its next implementation phase. The recommendations (see Section 8) will broaden community engagement and help the OBPS serve the community and advance efforts along the following key dimensions : Data, Information, Knowledge Endorsement of methodological documents by communities Uptake of methodologies by communities Convergence of methods across scales (thematic, local, regional, global) Development paths \u2013 how does a region\/community build best practices? What does your region need? How can the OBPS better support that? - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1540", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1540", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1540", "url": "https:\/\/hdl.handle.net\/11329\/1540" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "OBPS", "Ocean Best Practices System", "Best practices", "Parameter Discipline::Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1547", "name": "Manual for Real-Time Quality Control of Water Level Data: A Guide to Quality Control and Quality Assurance for Water Level Observations. Version 2.1 [ENDORSED PRACTICE]", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the WL community at large for the real-time QC of WL measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean observing community and represents a contribution to a collection of core variable QC documents. WL observations covered by these test procedures are collected in oceans and lakes in real time or near-real time. These tests are based on guidance from QARTOD workshops (QARTOD 2003-2009) and draw from existing expertise in programs such as the National Oceanic and Atmospheric Administration National Ocean Service (NOAA\/NOS) National Water Level Observation Network (NWLON) (Nault 2004), the University of Hawaii Sea Level Center, and the Global Sea Level Observing System (GLOSS). The Global Climate Observing System recognizes GLOSS as one of the international operational activities that provides essential sea level climate data. The GLOSS Global Core Network is comprised of 290 globally distributed sea level stations (23 in the U.S.) (GLOSS 2012). This manual differs from existing QC procedures for WL in that its focus is on real-time data. It presents a series of eleven tests that operators can incorporate into practices and procedures for QC of WL measurements. These tests apply only to the in-situ, real-time measurement of WL as observed by sensors deployed on fixed platforms and not to remotely sensed WL measurements (e.g., satellite observations). - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface height - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1547", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1547", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1547", "url": "https:\/\/hdl.handle.net\/11329\/1547" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::sea level recorders", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/889", "name": "Guidelines for the monitoring and assessment of plastic litter and microplastics in the ocean.", "description": " - The Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP) has been involved in the issue of marine plastic litter and microplastics for over a decade. Initially interest was focussed on microplastics, which were considered as an emerging issue, and resulted in the preparation of a scoping paper. This was followed by an international workshop in 2010, organised by GESAMP, on the subject of: Microplastic particles as a vector in transporting persistent, bio-accumulating and toxic substances in the ocean. This was one of the first workshops that brought together representatives of the chemicals industry, academia, policy makers, intergovernmental organisations and NGOs. It was hosted by IOC-UNESCO in Paris, with additional financial support from the European Commission. One of the conclusions of the workshop was that further assessment of the potential impacts of microplastics was warranted. This led to the formation of GESAMP Working Group 40 (WG40) in 2012: Sources, fate and effects of microplastics in the marine environment. The first WG40 report was published in 2015: Sources, fate and effects of microplastics in the marine environment \u2013 a global assessment. The second was published in 2016: Sources, fate and effects of microplastics in the marine environment \u2013 Part two of a global assessment. It became apparent during the assessment, and preparation of the reports, that there were relatively few data available from monitoring programmes. Most data that had been published were from individual surveys or research projects, and there was a lack of harmonisation of sampling methods and attention to natural environmental variability. This made the collation and comparison of data problematic. At the same time, it was decided that the artificial cut-off imposed by only focussing on microplastics was inappropriate. Marine plastic litter covers a wide spectrum of sizes, and larger items tend to fragment to smaller particles. The title and remit of WG40 was modified to reflect this more inclusive approach. An increasing number of administrations and individual organisations have started to develop routine monitoring programmes for marine litter and microplastics, in response to greater political and social awareness. Reliable monitoring allows the setting of indicators and targets and supports decision-making. The need for greater harmonisation of methods has become more critical with the adoption of the UN Sustainable Development Goals (SDGs), in particular SDG14.1.1: floating plastic litter as a global indicator of marine pollution. This need has been recognised in resolutions passed by the UN Environment Assembly (UNEA), with GESAMP being considered an appropriate mechanism to develop appropriate recommendations. These Guidelines are the output of the third phase of WG40. It is the product of a group of dedicated independent scientists, supported by a number of national and international bodies. They are intended to provide practical guidelines and recommendations, in particular to organisations that are less experienced in marine environmental monitoring. As technologies advance, and experience is gained, the Guidelines may need to be revised. But for the moment we hope the content of this report provides a helpful contribution. - , - Published - , - Refereed - , - Current - , - 14.1.1 - , - Mature - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/889", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/889", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/889", "url": "https:\/\/hdl.handle.net\/11329\/889" }, "contributor": [ { "@type": "Organization", "name": "GESAMP Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection" } ], "keywords": [ "Marine litter", "Microplastics", "Mesoplastics", "Rapid assessment survey", "Marine pollution", "Marine debris", "Plastics", "Marine litter", "Plastic litter", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/540", "name": "Argo quality control manual for dissolved oxygen concentration. Version 2.0, 23 October 2018.", "description": " - This document is the Argo quality control manual for Dissolved oxygen concentration. It describes two levels of quality control: \u2022 The first level is the real-time system that performs a set of agreed automatic checks. \u2022 Adjustment in real-time can also be performed and the real-time system can evaluate quality flags for adjusted fields \u2022 The second level is the delayed-mode quality control system. - , - Published - , - Refereed - , - Current - , - oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/540", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/540", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/540", "url": "https:\/\/hdl.handle.net\/11329\/540" }, "author": [ { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "The Argo BGC Team" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo BGC Group" } ], "keywords": [ "Dissolved oxygen", "Oxygen sensors", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1238", "name": "ITTC Quality System Manual. Recommended Procedures and Guidelines. Guideline: Underwater noise from ships, full scale measurements. Revision 01.", "description": " - The purpose of this document is to provide guidance on the available procedures and methodologies for measuring underwater noise from surface ships. For the purposes of this document underwater noise is meant the sound generated by a ship as measured in terms of sound pressure levels. Current interest in surface ship underwater noise is driven by the recognition of the importance of anthropogenic (human-made) noise in the ocean and its environmental impact. In addition, the ship underwater noise has an influence on the operaton of hydracoustic equipment. The current gudelines only address the measurement of underwater ship noise and does not comment on the impact of such noise. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1238", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1238", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1238", "url": "https:\/\/hdl.handle.net\/11329\/1238" }, "contributor": [ { "@type": "Organization", "name": "International Towing Tank Conference" } ], "keywords": [ "Underwater noise", "Ship noise", "Parameter Discipline::Physical oceanography::Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/444", "name": "Facilitating open exchange of data and information.", "description": " - By broad consensus, Open Data presents great value. However, beyond that simple statement, there are a number of complex, and sometimes contentious, issues that the science community must address. In this review, we examine the current state of the core issues of Open Data with the unique perspective and use cases of the ocean science community: interoperability; discovery and access; quality and fitness for purpose; and sustainability. The topics of Governance and Data Publication are also examined in detail. Each of the areas covered are, by themselves, complex and the approaches to the issues under consideration are often at odds with each other. Any comprehensive policy on Open Data will require compromises that are best resolved by broad community input. In the final section of the review, we provide recommendations that serve as a starting point for these discussions. - , - Work resulted from combined efforts of initial OceanObs RCN and ODIP. Main article in keeping with publisher guideline that article may be contributed to public repository 12 months after official publication and notification provided final publication is available at link.springer.com. - , - Refereed - , - 14.a - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/444", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/444", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/444", "url": "https:\/\/hdl.handle.net\/11329\/444" }, "author": [ { "@type": "Person", "name": "Gallagher, James" }, { "@type": "Person", "name": "Orcutt, John" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Wright, Dawn" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Raymond, Lisa" } ], "keywords": [ "Open Data", "Interoperability", "Governance", "Data publication", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data citation", "Data Management Practices::Data format development", "Data Management Practices::Data interoperability development", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1816", "name": "Photo-Identification field and laboratory protocols utilizing FinBase Version 2.", "description": " - \ufeffMarine mammal photo-identification surveys are conducted for multiple reasons that include estimating or evaluating abundance, survival, spatial and temporal habitat use, social structure and\/or health. Surveys are performed along set tracklines in designated survey areas. When animals are sighted during a survey they are digitally photographed with an effort to capture images of all animals in a sighting for individual identification. Additionally, ancillary data and observations of the animals are recorded onto datasheets. The data obtained is then entered into FinBase, a customizable database system for managing photo-identification catalogs. These protocols were designed for small boat based dolphin photo-identification surveys, but can be utilized for any type of photo-identification surveys. Since FinBase is customizable the user can make changes to fit the needs of their specific survey. All the data and cropped images collected from photo-identification surveys can be stored in and managed with FinBase. Using the cropped images a catalog of individuals can be created and structured based on the attributes assigned to each animal. Within FinBase the user can track the sighting history of each individual, mother and calf relationships, and known associates of the individual. - , - NOAA - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Organisational - , - Multi-organisational - , - Species distributions - , - Species abundances - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1816", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1816", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1816", "url": "https:\/\/hdl.handle.net\/11329\/1816" }, "author": [ { "@type": "Person", "name": "Melancon, Rachel" }, { "@type": "Person", "name": "Lane, Suzanne" }, { "@type": "Person", "name": "Speakman, Todd" }, { "@type": "Person", "name": "Hart, Leslie" }, { "@type": "Person", "name": "Sinclair, Carrie" }, { "@type": "Person", "name": "Adams, Jeff" }, { "@type": "Person", "name": "Rosel, Patricia" }, { "@type": "Person", "name": "Schwacke, Lori" } ], "contributor": [ { "@type": "Organization", "name": "NOAA NMFS Southeast Fisheries Science Center" } ], "keywords": [ "Marine mammals", "Photo identification", "BioICE", "IOOS Marine Life", "Data acquisition", "Data processing", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/825", "name": "QARTOD-I Report: First Workshop Report on the Quality Assurance of Real-Time Ocean Data, December 3 - 5, 2003.", "description": " - The first workshop on the Quality Assurance of Real-Time Ocean Data (QARTOD - I) for the coastal ocean observing community was hosted by the National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) from December 3-5, 2003 at Stennis Space Center, MS. Over 80 participants from Federal and State governments, academia, and industry attended the workshop with the main goal of establishing some general standards for real-time data quality assurance and control (QA\/QC) in preparation for their participation in the Integrated Ocean Observing System (IOOS). Particular emphasis was placed upon the coastal ocean from estuaries to the shelf break or Exclusive Economic Zone. Requirements of both the scientific community and operational users of IOOS data were considered. - , - NOAA\/NWS\/National Data Buoy Center - , - Unpublished - , - Current - , - TRL 2 Technology concept and\/or application formulated - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/825", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/825", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/825", "url": "https:\/\/hdl.handle.net\/11329\/825" }, "contributor": [ { "@type": "Organization", "name": "NOAA\/NWS\/National Data Buoy Center" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1136", "name": "OGC Coverage Implementation Schema - ReferenceableGridCoverage Extension with Corrigendum. Version 1.0.1.", "description": " - The OGC GML Application Schema - Coverages (\u201cGMLCOV\u201d) version 1.0 [OGC 09-146r2], recently renamed the OGC Coverage Implementation Schema version 1.0, provides a ReferenceableGridCoverage element for representing coverages on a referenceable grid. However, GMLCOV provides no instantiable subtypes of a critical sub-element of ReferenceableGridCoverage, GMLCOV::AbstractReferenceableGrid. To make use of ReferenceableGridCoverage, an extension deriving from GMLCOV would need to be developed. GML 3.3 is not such an extension of GMLCOV, as it is built independently from GMLCOV. Use of the instantiable referenceable grid elements of GML 3.3 with ReferenceableGridCoverage violates Requirement 14 of GMLCOV 1.0 and Requirement 24 of the OGC Modular Specification[1]. This OGC Coverage Implementation Schema - ReferenceableGridCoverage Extension provides a set of referenceable grid elements for use as sub-elements of ReferenceableGridCoverage. Three of these elements have been adapted from GML 3.3, while a fourth emerged from work on a Testbed-11 Engineering Report - , - Published - , - This document is an OGC Member approved international standard. This document is available on a royalty free, non-discriminatory basis. This formatted version is INFORMATIVE. The normative version is available at: http:\/\/docs.opengeospatial.org\/is\/16-083r3\/16-083r3.html Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1136", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1136", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1136", "url": "https:\/\/hdl.handle.net\/11329\/1136" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Implementation Standard", "Coverage Implementation Schema" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2118", "name": "SeaDataNet data management protocols for glider data. D9.14, Version 1.2.", "description": " - The purpose of this document is to: i) ensure that SeaDataNet partners exposed to glider data are aware of glider data management best practice and have the knowledge needed to assimilate glider data into SeaDataNet and ii) advise SeaDataNet itself on how best to align with and help steer emerging international protocols for glider data management and exchange. - , - EU Horizon 2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2118", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2118", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2118", "url": "https:\/\/hdl.handle.net\/11329\/2118" }, "author": [ { "@type": "Person", "name": "Hebden, M." }, { "@type": "Person", "name": "Buck, J." } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Gliders", "Cross-discipline", "Data processing", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/383", "name": "Sampling and measurement of chlorofluorocarbons and sulfur hexafluoride in seawater.", "description": " - A number of laboratories throughout the world have developed analytical systems for measuring dissolved chlorofluorocarbons (CFCs) in seawater and have active programs to study the distribution of these substances in the ocean. New groups will likely become involved in making these measurements in the future. To maximize the scientific value of these studies, there is a clear need to insure that the measurements made by all groups are intercomparable and of the highest possible accuracy and precision. This is especially critical for ongoing programs such as the CLIVAR Repeat Hydrography Program, where global geochemical tracer data sets will be obtained by the combined efforts of a number of groups collecting and analyzing samples at different locations and times. The results from these efforts will be compared to earlier studies to detect changes in water mass ventilation rates, carbon uptake, oxygen utilization rates and other ocean processes, and serve as a baseline for future time-series studies utilizing these tracers. - , - Published - , - revision of WOCE Hydrographic program and manual - , - Refereed - , - Current - , - Transient tracers - , - Pilot or Demonstrated - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/383", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/383", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/383", "url": "https:\/\/hdl.handle.net\/11329\/383" }, "author": [ { "@type": "Person", "name": "Bullister, J.L." }, { "@type": "Person", "name": "Tanhua, T." } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::gas chromatographs" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1958", "name": "IMOS radiometry community-of-practice document. Version 1.0.", "description": " - This Integrated Marine Observing System (IMOS) radiometry community-of-practice document summarises important elements of community-agreed, internationally used, protocols for measurement of radiometric quantities in open ocean, coastal and inland waters (from instrument deployment to data handling protocols). - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Ocean colour - , - Mature - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1958", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1958", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1958", "url": "https:\/\/hdl.handle.net\/11329\/1958" }, "author": [ { "@type": "Person", "name": "Oubelkheir, Kadija" }, { "@type": "Person", "name": "Antoine, David" }, { "@type": "Person", "name": "Schroeder, Thomas" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Phytoplankton", "Radiometers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1582", "name": "Ocean Literacy in European Oceanographic Agencies: EuroGOOS recommendations for the UN Decade of Ocean Science for Sustainable Development 2021-2030.", "description": " - From local and national to global levels, Ocean Literacy enables science to engage with policy and society on the topics of ocean sustainability, observations and research. This policy brief provides recommendations on how to enhance Ocean Literacy activities in oceanographic agencies in the UN Decade of Ocean Science for Sustainable Development 2021-2030. Ocean Literacy is becoming as a strategic activity area in oceanography. Ocean Literacy tools and approaches are needed to increase societal and policy awareness of the needs, challenges, and opportunities of the ocean observing enterprise. Ocean Literacy is also important for achieving sustained operations and funding of the ocean observing systems, maintained predominantly by public funding. The United Nations Decade of Ocean Science for Sustainable Development 2021-2030, implemented by the Intergovernmental Oceanographic Commission of UNESCO, put forward Ocean Literacy as an enabler for engaging with stakeholders and determining common understanding and joint identification of solutions towards sustainability. In addition to strengthening dialogue and engagement at science-policy interfaces, Ocean Literacy also helps reach out to sectors and disciplines outside of the traditional domains of marine sciences or maritime economy and management, from art and culture to sport and recreation. Ocean Literacy connects all sectors of society. It demonstrates the value of ocean science for sustainable economy and policy, helping to create a common baseline of understanding and a common set of values. This is critical for stakeholders who jointly address complex issues characterizing the marine environment and support decisions on responsible environmental management and sustainable blue economy. - , - Published - , - Current - , - 4 - , - 8 - , - 13 - , - 14 - , - 3 - , - 6 - , - 7 - , - 9 - , - 17 - , - Organisational - , - Multi-organisational - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1582", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1582", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1582", "url": "https:\/\/hdl.handle.net\/11329\/1582" }, "author": [ { "@type": "Person", "name": "Eparkhina, Dina" }, { "@type": "Person", "name": "Pomaro, Angela" }, { "@type": "Person", "name": "Koulouri, Panayota (Yolanda)" }, { "@type": "Person", "name": "Banchi, Elisa" }, { "@type": "Person", "name": "Canu, Donata" }, { "@type": "Person", "name": "Uyarra, Maria C." }, { "@type": "Person", "name": "Burke, Noirin" } ], "contributor": [ { "@type": "Organization", "name": "EuroGOOS" } ], "keywords": [ "Ocean literacy", "UN Ocean Decade", "DS06" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/747", "name": "Performance Verification Statement for the In-Situ Troll 9500 pH Sensor.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al. (2011). A total of 263 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the In-Situ Troll 9500 which measures pH using a combination, single-junction electrode that contains a glass pH sensing bulb, replaceable junction and refillable reference saturated KCl electrolyte solution. The Troll 9500 operated continuously throughout the entire lab test and generated 6283 pH measurements at 15 minute intervals. The total range of pH measured by the Troll 9500 was 7.12 to 8.58, compared to the range of our discrete reference samples of 6.943 to 8.502. The Troll 9500 tracked changing pH conditions among all water sources and temperature ranges including the rapid pH shifts from acid\/base additions, but the magnitude of the offset changed for each water type (Fig.3). For the complete Lab test, the mean of the differences between the Troll 9500 measurement and reference pH was 0.17 \u00b10.07 (N=263), with a total range of 0.02 to 0.31. Instrument measurements conducted with the second seawater trial after ten weeks showed a slight increase in the offset (mean difference = 0.31 \u00b10.004; N=8) compared to measurements from the first week (mean difference = 0.15 \u00b1 0.01; N=27). At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6oC and 33. The measured ambient pH range from our 84 discrete reference samples was 7.933 \u2013 8.077. The Troll 9500 experienced an internal malfunction approximately three hours after logging was initiated on August 26th at 18:00 hours. No useable data was produced to compare to the reference dye results. The Troll 9500 measured pH from 7.94 to 7.98 during the first three hours indicating good operating condition, but then showed an abrupt increase to nearly 14, indicating some internal malfunction. At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5oC and 34.4. The measured ambient pH range from our 101 discrete reference samples was 7.814 \u2013 8.084. The Troll 9500 only operated over the first three days of the deployment and generated 154 observations with a range in ambient pH from 7.93 to 8.17. (n=10 observations out of a possible 101 for the entire deployment). The average and standard deviation of the differences between the Troll 9500 and reference pH during its operational period was 0.10 \u00b10.01 (N=10), with a total range of 0.09 to 0.11. At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9oC and 12.8. The measured pH range from our 107 discrete reference samples was 8.024 \u2013 8.403. The Troll 9500 operated continuously over the entire 30 day deployment and generated 2756 observations; however after the first six hours a significant measurement deviation occurred and continued throughout the test. Only the first 26 instrument measurements and only one matched reference sample pair were considered useable. Ambient pH measured by the Troll 9500 over the first six hours ranged from 8.34 to 8.82. The first sampling pair from March 12th had a difference from the reference pH of -0.002 indicating the probe was in good operating condition at the time of deployment. No summary statistics are calculated for the remaining deployment. At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2oC and 0.03. The measured ambient pH range from our 98 discrete reference samples was 8.013 to 8.526. The Troll 9500 operated continuously over the 29 days of the deployment and generated 2673 observations with a measured range in ambient pH from 8.24 to 9.57. The average and standard deviation of the difference between the Troll 9500 and reference pH for the entire deployment was 0.60 \u00b1 0.15 with a total range of 0.27 to 0.90. It is unfortunate that internal malfunctions occurred at three of the four field test sites since the sonde appeared to working very well upon initial deployment. As noted by the successful Great Lakes deployment, the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. Continuous in situ monitoring technologies, such as the Troll 9500, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/747", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/747", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/747", "url": "https:\/\/hdl.handle.net\/11329\/747" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/499", "name": "Cross-border cooperation in Maritime Spatial Planning . Final Report.", "description": " - The \u2018Study on International Best Practices for Cross-Border MSP\u2019 has been designed to assist the European Commission (EC) and Member States in the implementation of the MSP Directive through the identification of good practices of MSP, with a particular focus on cross-border cooperation; and to elaborate recommendations that can support the promotion and exchange of MSP at the international level, relevant to the implementation of the EC International Ocean Governance Agenda. Over the last few years, an increasing number of nations have begun to implement MSP at various scales, from local initiatives to transnational efforts, motivated by opportunities for new maritime industries, the reversal of negative environmental trends and the improved coordination of sectors among others. In Europe, the European Directive to establish a framework for MSP (the \u201cMSP Directive\u201d) is considered as a step forward in the adoption of MSP principles and good practices by EU Member States. This directive can support not only a more efficient sustainable development of marine and coastal resources, but also strengthen cross-border cooperation, and therefore improve ocean governance. This study has centred its work on four main objectives or phases: Firstly, the review of existing guidance and MSP processes, and compilation of a detailed inventory of MSP implementation outside the EU, the Study\u2019s \u2018Global MSP Inventory\u2019, 1 which provides a description of MSP processes and identifies common practice, including approaches to cross-border cooperation. Secondly, an in-depth comparative analysis of four case studies of MSP implementation,2 including literature review, site visits and key informant interviews, that identifies lessons learned in MSP, and good practices in support of cross-border cooperation. Thirdly, the formulation of recommendations on the international exchange of MSP, including recommendations on the application of MSP in Areas Beyond National Jurisdiction (ABNJ). Fourthly, the presentation of preliminary findings at the 2nd International MSP Conference (March 2017, Paris), partly coordinated and supported by the Study team. - , - Published - , - Reporting on the Service Contract: EASME\/EMFF\/2014\/1.3.1.8\/SI2.714082: Study on international best practices for cross-border Maritime Spatial Planning - , - Refereed - , - Current - , - SDG14.5 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/499", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/499", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/499", "url": "https:\/\/hdl.handle.net\/11329\/499" }, "author": [ { "@type": "Person", "name": "Carneiro, Gon\u00e7alo" }, { "@type": "Person", "name": "Thomas, Hannah" }, { "@type": "Person", "name": "Olsen, Stephen" }, { "@type": "Person", "name": "Benzaken, Dominique" }, { "@type": "Person", "name": "Fletcher, Steve" }, { "@type": "Person", "name": "M\u00e9ndez Rold\u00e1n, Sara" }, { "@type": "Person", "name": "Stanwell-Smith, Damon" } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Cross-border cooperation", "Fisheries policy", "Governance", "Maritime area", "Maritime law", "Shipping policy", "Transport planning" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/903", "name": "Assimilation of coastal and open sea biogeochemical data to improve phytoplankton simulation in the Mediterranean Sea.", "description": " - The high spatial and temporal variability of biogeochemical features, induced by local dynamics and terrestrial and atmospheric inputs in shelf seas, are challenging issues for the implementation of data assimilation in these areas. The objective of this study is to integrate satellite ocean-colour observations with a coupled physical-biogeochemical model in order to improve the spatiotemporal descriptions of chlorophyll and other biogeochemical variables in the Mediterranean shelf seas. We adopted a specifically developed three-dimensional variational data assimilation scheme for the assimilation of satellite chlorophyll data. The non-homogeneous vertical component, the non-uniform and direction-dependent horizontal component of the background error covariance are the key features of the upgraded three-dimensional variational data assimilation scheme for shelf seas. The application of the new assimilation scheme significantly improves chlorophyll estimates in shelf seas, particularly in the representation of their spatial and temporal variability. Based on these results, we provide an estimate of the annual primary production of the Mediterranean basin. - , - Refereed - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/903", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/903", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/903", "url": "https:\/\/hdl.handle.net\/11329\/903" }, "author": [ { "@type": "Person", "name": "Teruzzi, Anna" }, { "@type": "Person", "name": "Bolzon, Giorgio" }, { "@type": "Person", "name": "Salon, Stefano" }, { "@type": "Person", "name": "Lazzari, Paolo" }, { "@type": "Person", "name": "Solidoro, Cosimo" }, { "@type": "Person", "name": "Cossarini, Gianpiero" } ], "keywords": [ "Shelf seas", "Coastal-water data assimilation", "Phytoplankton", "Chlorophyll", "Primary production", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1297", "name": "Analysis of Uncertainties Associated to Underwater Hyperspectral Attenuation Measurements.", "description": " - The uncertainty for the underwater hyperspectral measurement of attenuation (ACS) is studied. The attenuation measurements for standard particles of different diameters (2,5,10,20 mm) by ultra violet visible (UV-Vis) spectrophotometer (PE35) are compared with model values by Mie scattering theory, and the attenuation measurement error of PE35 is found less than 8% . Subsequently, simultaneous atlenuation measurements by ACS and PE35 are carried out for samples from the high turbid water in the East China Sea. Comparative results show the attenuation measurements by ACS are underestimated in high turbid water, and the uncertainty of ACS measurements has a negative correlation with wavelength, conversely, with a strong positive correlation with turbidity of water. The attenuation measurements of ACS(10 cm) and ACS(25 cm) are underestimated within 17.2% ~19.04% and 7.84% ~15.36% in low turbid water, respectively, while ACS(10 cm) is within 26.4%~28.24% in high turbid water. - , - Refereed - , - 14.A - , - Ocean colour - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1297", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1297", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1297", "url": "https:\/\/hdl.handle.net\/11329\/1297" }, "author": [ { "@type": "Person", "name": "Zhao, Liancheng" }, { "@type": "Person", "name": "Mao, Zhihua" }, { "@type": "Person", "name": "Tao, Bangyi" }, { "@type": "Person", "name": "Chen, Peng" }, { "@type": "Person", "name": "Zhu, Qiankun" } ], "keywords": [ "Ocean optics", "Attenuation coefficient", "Mie scattering calculation", "Measurement uncertainty", "Uncertainty quantification", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1635", "name": "Hydrographic Survey with Autonomous Surface Vehicles: A Best Practices Guide.", "description": " - Increasingly, hydrographic offices are turning to robotic, unmanned, and \u201cautonomous\u201d surface vehicles (ASVs) to conduct systematic seafloor surveys for hydrographic applications. The practice of hydrographic survey is categorically different from general navigation of transiting commercial vessels whose operation may fall under other guidance. In establishing best practices for operation of ASVs for hydrography, environmental and other risks are considered, and practical levels of autonomy are defined. Environment and level of autonomy are then evaluated to establish a suitable level of supervision to meet the intentions of the Convention on the International Regulations for the Prevention of Collisions at Sea (COLREGS) and other Navigation Rules. - , - Refereed - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1635", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1635", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1635", "url": "https:\/\/hdl.handle.net\/11329\/1635" }, "author": [ { "@type": "Person", "name": "Schmidt, Val" } ], "keywords": [ "ASV", "Autonomous Surface Vehices", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1543.2", "name": "Delayed Mode QA\/QC Best Practice Manual Version 3.1", "description": " - This document is the IMOS Ocean Gliders (formerly known as Australian National Facility for Ocean Gliders (ANFOG)) Best Practice manual for delayed mode processed data. IMOS Ocean Gliders is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). IMOS Ocean Gliders, based in the University of Western Australia (UWA), with IMOS National Collaborative Research Infrastructure Strategy (NCRIS) funding, currently deploys a fleet of 11 gliders all around Australia, successfully completing an average of 30 glider missions annually. The data retrieved from the glider fleet contributes to the study of the major boundary current systems surrounding Australia and their links to coastal ecosystem processes. This document describes the quality analyses\/quality control (QA\/QC) methods and correction procedures employed by IMOS Ocean Gliders for delayed mode glider data files available for public download through the Australian Ocean Data Network (AODN) portal (https:\/\/portal.aodn.org.au\/) (Figure 1). Information from past IMOS Ocean Gliders\u2019 documents regarding CTD (Gourcuff, 2014a) and Optode corrections (Gourcuff, 2014b), as well as Data Management (Woo et al., 2018) has been updated and incorporated into this document. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Salinity - , - Subsurface salinity - , - Subsurface Temperature - , - Sea Surface Temperature - , - Particulate matter - , - Oxygen - , - Ocean colour - , - Subsurface Currents - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - Multi-organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1543.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1543.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1543.2", "url": "https:\/\/hdl.handle.net\/11329\/1543.2" }, "author": [ { "@type": "Person", "name": "Woo, L. Mun" }, { "@type": "Person", "name": "Gourcuff, Claire" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::optical backscatter sensors", "Instrument Type Vocabulary::ocean colour radiometers", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1140", "name": "OGC WPS 2.0 Interface Standard. Version 2.0.", "description": " - In many cases geospatial or location data, including data from sensors, must be processed before the information can be used effectively. The OGC Web Processing Service (WPS) Interface Standard provides a standard interface that simplifies the task of making simple or complex computational processing services accessible via web services. Such services include well-known processes found in GIS software as well as specialized processes for spatio-temporal modeling and simulation. While the OGC WPS standard was designed with spatial processing in mind, it can also be used to readily insert non-spatial processing tasks into a web services environment. The WPS standard provides a robust, interoperable, and versatile protocol for process execution on web services. It supports both immediate processing for computational tasks that take little time and asynchronous processing for more complex and time consuming tasks. Moreover, the WPS standard defines a general process model that is designed to provide an interoperable description of processing functions. It is intended to support process cataloguing and discovery in a distributed environment. - , - Published - , - This document is an OGC Member approved international standard, however, this version is informative. The normative version can be found at: http:\/\/docs.opengeospatial.org\/is\/14-065\/14-065.html. This document is available on a royalty free, non-discriminatory basis. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1140", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1140", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1140", "url": "https:\/\/hdl.handle.net\/11329\/1140" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "WPS", "Geoprocessing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2428", "name": "Science-Policy Interfaces: From Warnings to Solutions.", "description": " - Key Messages and Recommendations \u2022 Since 1972, a variety of science-policy interfaces (SPIs) have been deployed in global environmental governance to identify environmental risks and propose solutions. \u2022 The landscape of SPIs is now divided among subsidiary SPIs, with agendas set by parties to a treaty, and stand-alone SPIs with their own designated governing bodies. \u2022 The global community is currently debating proposals for new stand-alone SPIs, one on food systems and another on chemicals and wastes. \u2022 A three-pronged approach can guide policymakers as they design SPIs to be credible, relevant, legitimate, transparent, iterative, and inclusive. - , - Swedish Ministry of Environment, the Norwegian Ministry of Climate and Environment, and Global Affairs Canada. - , - Published - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2428", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2428", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2428", "url": "https:\/\/hdl.handle.net\/11329\/2428" }, "author": [ { "@type": "Person", "name": "Kohler, Pia M." } ], "contributor": [ { "@type": "Organization", "name": "International Institute for Sustainable Development (IISD)" } ], "keywords": [ "Science policy interface", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1222", "name": "Rigorous Evaluation of a Fraternal Twin Ocean OSSE System for the Open Gulf of Mexico.", "description": " - Anew fraternal twin ocean observing system simulation experiment (OSSE) system is validated in a Gulf of Mexico domain. It is the first ocean system that takes full advantage of design criteria and rigorous evaluation procedures developed to validate atmosphere OSSE systems that have not been fully implemented for the ocean. These procedures are necessary to determine a priori that the OSSE system does not overestimate or underestimate observing system impacts. The new system consists of 1) a nature run (NR) stipulated to represent the true ocean, 2) a data assimilation system consisting of a second ocean model (the \u2018\u2018forecast model\u2019\u2019) coupled to a new ocean data assimilation system, and 3) software to simulate observations from the NR and to add realistic errors. The system design is described to illustrate the requirements of a validated OSSE system. The chosen NR reproduces the climatology and variability of ocean phenomena with sufficient realism. Although the same ocean model type is used (the \u2018\u2018fraternal twin\u2019\u2019 approach), the forecast model is configured differently so that it approximately satisfies the requirement that differences (errors) with respect to the NR grow at the same rate as errors that develop between state-of-the-art ocean models and the true ocean. Rigorous evaluation procedures developed for atmospheric OSSEs are then applied by first performing observing system experiments (OSEs) to evaluate one or more existing observing systems. OSSEs are then performed that are identical except for the assimilation of synthetic observations simulated from the NR. Very similar impact assessments were realized between each OSE\u2013OSSE pair, thus validating the system without the need for calibration. - , - Refereed - , - 14.A - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1222", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1222", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1222", "url": "https:\/\/hdl.handle.net\/11329\/1222" }, "author": [ { "@type": "Person", "name": "Halliwell Jr, G. R." }, { "@type": "Person", "name": "Srinivasan, A." }, { "@type": "Person", "name": "Kourafalou, V." }, { "@type": "Person", "name": "Yang, H." }, { "@type": "Person", "name": "Willey, D." }, { "@type": "Person", "name": "Le Henaffe, M." }, { "@type": "Person", "name": "Atlas, R." } ], "keywords": [ "OSSEs", "Evaluation", "Aircraft observations", "Satellite altimetry", "Data assimilation", "Profilers", "Ocean model", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/367", "name": "Extreme value analysis: wave data", "description": " - Estimates of the m-year return value of significant wave height \u2500 the value which is exceeded on average once every m years \u2500 are needed for the safety control and design of ship, offshore, and coastal structures, and for the mapping of flood risk areas. The WMO Guide to Wave Analysis and Forecasting aims at providing guidance on how to obtain those estimates. In the design of ships and offshore platforms 1\/20-yr to 1\/100-yr return values are often used. In the control of the safety of the Netherlands sea defenses return values of up to 1\/10,000-yr are used. In the mapping of food risk area in the United Kingdom 1\/1,000-yr return values are used. The longer time series of significant wave height available come from hindcasts and usually cover no more than 50 years, meaning that one generally needs to extrapolate well beyond the range of the available data and thus resort to extreme value analysis to obtain the required return value estimates. In this report we begin by describing and discussing approaches that can be used to estimate such return values in Chapter 2. Approaches based on extreme value theory as well as ad hoc methods are considered. We then present in Chapter 3 some worked examples using two time series of significant wave height measurements, one in deep and the other in shallow waters. In Chapter 4 we provide an inventory of software packages available to carry out extreme value analyses. We finish in Chapter 5 with some guidelines \/ recommendations. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/367", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/367", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/367", "url": "https:\/\/hdl.handle.net\/11329\/367" }, "author": [ { "@type": "Person", "name": "Caires, Sofia" } ], "contributor": [ { "@type": "Organization", "name": "WMO-JCOMM" } ], "keywords": [ "Wave analysis", "Significant wave height", "Return value", "Wave forecasting", "Extreme value theory", "Time series analysis", "Wave data", "Parameter Discipline::Physical oceanography::Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1894", "name": "Guidance Note on the Application of Coastal Modelling for Small Island Developing States.", "description": " - Small Island Developing States (SIDS) are very diverse, but have something in common: they are all vulnerable to human-induced climate change, but have contributed very little to causing the problem, due to their small size and limited development. Much time has been spent in debating climate change and adaptation strategies for such countries, but little has been done in developing practical tools to assist them in managing the coastal zone. In this report we aim to address that. In April 2017, some senior staff members from the National Oceanography Centre (NOC) visited St Vincent and the Grenadines, as part of the UK Foreign and Commonwealth Office-funded Neptune programme. At that time, some of the issues around coastal erosion on the east coast of St Vincent were identified, as well as some extreme events from which St Vincent and the Grenadines had suffered substantial losses of GDP. This was followed up by a workshop in January 2018 on \u2018Implementing and Monitoring the Sustainable Development Goals in the Caribbean: The Role of the Ocean\u2019, which was co-sponsored by the UK Government-funded Commonwealth Marine Economies Programme (CMEP) via the NOC (CMEP being the successor to Neptune). During the period September 2017 to March 2020, the National Oceanography Centre, funded by the CMEP, has been working with St Vincent and the Grenadines to provide knowledge, data and training about data analysis application and software for the use of coastal managers, particularly in order to address the problem of coastal erosion. We held a stakeholder workshop in Kingstown, St Vincent, in March 2018 and a hands-on technical training workshop in January 2019. A final workshop is being held in March 2020. Here we present an overview of coastal modelling methodology for use by Small Island Developing States (SIDS), including references to previous model review studies and guidance on how to access and apply model outputs, which will be presented at the workshop, entitled \u2018Applying Knowledge of Coastal Processes for Coastal Zone Management into the Future\u2019. This report seeks to collate the information on Coastal Modelling, which may be relevant to all SIDS, in order to support evidence-based decision-making. The case study is built around work done for St Vincent and the Grenadines. It is not the intention to explain in detail the technical working and development of models, as it is envisaged that SIDS will not want or need to run complex models themselves, but if this is desired, information on further reading and training is provided. Some of the simpler and more accessible models, with particularly useful applications in the coastal zone, which do not require computer resources beyond a laptop computer, are described in more detail for in-house application and their use in decision-making is explained. The way forward in regional collaboration and capacity-building is discussed. - , - Commonwealth Marine Economies (CME) Programme in the Caribbean. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1894", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1894", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1894", "url": "https:\/\/hdl.handle.net\/11329\/1894" }, "author": [ { "@type": "Person", "name": "Wolf, Judith" }, { "@type": "Person", "name": "Becker, Amani" }, { "@type": "Person", "name": "Bricheno, Lucy" }, { "@type": "Person", "name": "Brown, Jenny" }, { "@type": "Person", "name": "Byrne, David" }, { "@type": "Person", "name": "De Dominicis, Michela" }, { "@type": "Person", "name": "Phillips, Ben" } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre" } ], "keywords": [ "Coastal erosion", "Coastal zone management", "Coastal modelling", "SIDS", "Human activity", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/724", "name": "Protocols for Verifying the Performance of Hydrocarbon Sensors.", "description": " - Background on ACT Technology Evaluations Instrument performance verification is necessary to effectively evaluate existing technologies and to encourage the development and adoption of promising new technologies that support coastal science, resource management and the long-term development of an Integrated Ocean Observing System. The Alliance for Coastal Technologies (ACT) has therefore been established to provide an unbiased, third-party testbed for evaluating coastal sensors and sensor platforms. The following protocols describe how ACT will examine the environmental performance characteristics of commercially available in situ or flow-through hydrocarbon sensors through the evaluation of objective and quality assured data. The goal of ACT\u2019s evaluation program is to provide technology users with an independent and credible assessment of instrument performance in a variety of environments and applications. Therefore, the data and information on performance characteristics will focus on the types of information that users most need. ACT surveyed the broader community to define the data and operational parameters that are valuable in guiding instrument purchase and deployment decisions. It is important to note that ACT does not certify technologies or guarantee that a technology will always, or under circumstances other than those used in testing, operate at the levels verified. ACT does not seek to determine regulatory compliance; does not rank technologies or compare performance among specific instruments tested; does not label or list technologies as acceptable or unacceptable, and does not seek to determine \u201cbest available technology\u201d in any form. ACT will avoid all potential pathways to picking \u201cwinners and losers.\u201d Therefore, although the following protocols will apply to all instruments evaluated, no direct comparisons will be made between instruments from different manufacturers and instrument-specific Performance Verification Statements will be released to the public for each instrument type as a final report. Finally, we emphasize that these protocols were developed with the direct assistance of participating manufacturers and an external Technical Advisory Committee and have been agreed upon in signed contracts with ACT. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/724", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/724", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/724", "url": "https:\/\/hdl.handle.net\/11329\/724" }, "author": [ { "@type": "Person", "name": "Johengen, T" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Chemical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1555", "name": "Protocols for Assessing Transformation Rates of Nitrous Oxide in the Water Column.", "description": " - Nitrous oxide (N2O) is a potent greenhouse gas and an ozone destroying substance. Yet, clear step-by-step protocols to measure N2O transformation rates in freshwater and marine environments are still lacking, challenging inter-comparability efforts. Here we present detailed protocols currently used by leading experts in the field to measure water-column N2O production and consumption rates in both marine and other aquatic environments. We present example 15N-tracer incubation experiments in marine environments as well as templates to calculate both N2O production and consumption rates. We discuss important considerations and recommendations regarding (1) precautions to prevent oxygen (O2) contamination during low-oxygen and anoxic incubations, (2) preferred bottles and stoppers, (3) procedures for 15N-tracer addition, and (4) the choice of a fixative. We finally discuss data reporting and archiving. We expect these protocols will make 15N-labeled N2O transformation rate measurements more accessible to the wider community and facilitate future inter-comparison between different laboratories. - , - Refereed - , - 14.2 - , - Nitrous oxide - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - 2020-09-29 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1555", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1555", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1555", "url": "https:\/\/hdl.handle.net\/11329\/1555" }, "author": [ { "@type": "Person", "name": "Bourbonnais, Annie" }, { "@type": "Person", "name": "Frey, Claudia" }, { "@type": "Person", "name": "Sun, Xin" }, { "@type": "Person", "name": "Bristow, Laura A." }, { "@type": "Person", "name": "Jayakumar, Amal" }, { "@type": "Person", "name": "Ostrom, Nathaniel E." }, { "@type": "Person", "name": "Casciotti, Karen L." }, { "@type": "Person", "name": "Ward, Bess B." } ], "keywords": [ "Nitrous oxide", "15N-tracer incubations", "Water column", "Greenhouse gas", "Parameter Discipline::Chemical oceanography::Dissolved gases" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1800", "name": "Key Aquatic Animal Welfare Recommendations for Aquaculture.", "description": " - This document is intended to provide an overview of what the Aquatic Animal Alliance, having consulted with experts globally, has identified as key areas where welfare intervention is most needed for animals used in aquaculture. Information about more detailed and species-specific recommendations can be found in the extended version of this text and the accompanying references. - , - Published - , - Refereed - , - Current - , - 14.7 - , - N\/A - , - Multi-organisational - , - N\/A - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1800", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1800", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1800", "url": "https:\/\/hdl.handle.net\/11329\/1800" }, "contributor": [ { "@type": "Organization", "name": "Aquatic Animal Alliance" } ], "keywords": [ "Aquaculture", "Fish farming", "Fish welfare", "Animal welfare", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/377", "name": "GO-SHIP Repeat Hydrography Manual, Version 1. Preface", "description": " - Published - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/377", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/377", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/377", "url": "https:\/\/hdl.handle.net\/11329\/377" }, "author": [ { "@type": "Person", "name": "Sloyan, B.M." }, { "@type": "Person", "name": "Sabine, C.L." } ], "keywords": [ "Preface", "GO-SHIP" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2004", "name": "Guidelines for monitoring of turbidity.", "description": " - Turbidity estimates the impact of light scattering due to particles on the level of light attenuation in the water column. It is affected by total suspended solids (i.e., organic and inorganic particles) in the water, and thus differs from water transparency, which is also dependent on the amount of chromophoric dissolved organic matter (CDOM). Organic particles are mainly autochthonous (phytoplankton, zooplankton, bacterial cells) and thus are related to the trophic state whereas inorganic particles are largely allochthonous (e.g., resuspension, fluvial sediment load). This source of error has to be taken into consideration whenever eutrophication status is assessed using turbidity in the Baltic Sea that is optically classified as a Case II water body (Morel and Prieur 1977), i.e., the body where concentrations of colour producing substances (e.g. phytoplankton, inorganic particles and CDOM) vary independently from each other. For turbidity, this feature is emphasized in coastal areas subject to fluvial impact. The representativeness of turbidity as an eutrophication metrics increases towards offshore areas; here, an increasing share of particles causing turbidity is of autochthonous origin. This has been utilized in the ship-of-opportunity (SOOP) approach. The scope of this guideline is turbidity, measured either with turbidity meters in a laboratory or with turbidity sensors on board research vessels or in the SOOP and other autonomous systems. 1.2 Purpose and aims The purpose for turbidity monitoring is to describe spatiotemporal trends in total suspended solids. Turbidity provides information of total suspended solids that can serve as a diagnostic of eutrophication (with certain limitations mentioned above). It is thus an element of eutrophication monitoring, although only as a supporting parameter. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2004", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2004", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2004", "url": "https:\/\/hdl.handle.net\/11329\/2004" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Turbidity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1707", "name": "A Guide to Using GitHub for Developing and Versioning Data Standards and Reporting Formats.", "description": " - Data standardization combined with descriptive metadata facilitate data reuse, which is the ultimate goal of the Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Community data or metadata standards are increasingly created through an approach that emphasizes collaboration between various stakeholders. Such an approach requires platforms for collaboration on the development process that centers on sharing information and receiving feedback. Our objective in this study was to conduct a systematic review to identify data standards and reporting formats that use version control for developing data standards and to summarize common practices, particularly in earth and environmental sciences. Out of 108 data standards and reporting formats identified in our review, 32 used GitHub as the version control platform, and no other platforms were used. We found no universally accepted methodology for developing and publishing data standards. Many GitHub repositories did not use key features that could help developers to gather user feedback, or to create and revise standards that build on previous work. We provide guidance for community-driven standard development and associated documentation on GitHub based on a systematic review of existing practices - , - Refereed - , - N\/A - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1707", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1707", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1707", "url": "https:\/\/hdl.handle.net\/11329\/1707" }, "author": [ { "@type": "Person", "name": "Crystal-Ornelas, Robert" }, { "@type": "Person", "name": "Varadharajan, Charuleka" }, { "@type": "Person", "name": "Bond-Lamberty, Ben" }, { "@type": "Person", "name": "Boye, Kristin" }, { "@type": "Person", "name": "Burrus, Madison" }, { "@type": "Person", "name": "Cholia, Shreyas" }, { "@type": "Person", "name": "Crow, Michael" }, { "@type": "Person", "name": "Damerow, Joan" }, { "@type": "Person", "name": "Devarakonda, Ranjeet" }, { "@type": "Person", "name": "Ely, Kim S." }, { "@type": "Person", "name": "Goldman, Amy" }, { "@type": "Person", "name": "Heinz, Susan" }, { "@type": "Person", "name": "Hendrix, Valerie" }, { "@type": "Person", "name": "Kakalia, Zarine" }, { "@type": "Person", "name": "Pennington, Stephanie C." }, { "@type": "Person", "name": "Robles, Emily" }, { "@type": "Person", "name": "Rogers, Alistair" }, { "@type": "Person", "name": "Simmonds, Maegen" }, { "@type": "Person", "name": "Velliquette, Terri" }, { "@type": "Person", "name": "Weierbach, Helen" }, { "@type": "Person", "name": "Weisenhorn, Pamela" }, { "@type": "Person", "name": "Welch, Jessica N." }, { "@type": "Person", "name": "Agarwal, Deborah A." } ], "keywords": [ "GitHub", "Data standards", "Version control", "Cross-discipline", "Data format development", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1516", "name": "MBON Pole to Pole tutorial - Generating Darwin Core Archive files. [Training Video].", "description": " - To guide people through the process of transforming datasets to Darwin Core with new tools the team has developed to publish biodiversity survey data in OBIS. MBON Pole to Pole is developing a Community of Practice across the Americas to assess marine biodiversity and ecosystem change using field and space observations. Video 04.08 mins - , - Published - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1516", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1516", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1516", "url": "https:\/\/hdl.handle.net\/11329\/1516" }, "contributor": [ { "@type": "Organization", "name": "University of South Florida for MBON Pole to Pole Programme" } ], "keywords": [ "OBIS", "Biodiversity data", "Darwin Core", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data transformation\/conversion", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1738", "name": "European Marine Omics Biodiversity Observation Network (EMO BON) Handbook (Version 1.0).", "description": " - The European Marine Omics Biodiversity Observation Network (EMO BON) is a European initiative from the European Marine Biological Resource Centre (EMBRC) to establish a coordinated, long-term biodiversity observatory. Currently there are many ongoing genomic observation stations in Europe. The goal for EMO BON is to support the individual marine biodiversity observatories within EMBRC and connect them under one centrally coordinated network, with shared protocols, data, and metadata standards. EMBRC provides the context and opportunity for partner institutions to participate and complement EMO BON by initiating biodiversity observation stations. EMO BON includes marine stations from Polar regions to the Red Sea that will sample for genomic marine biodiversity at frequent intervals. This network will contribute to the United Nations Decade of Ocean Science for Sustainable Development and aims to be an important European component to the global ocean observation networks. Collection of marine water, sediment and organisms will take place at the EMBRC participating observatory stations according to the protocols described in this document \u2013 the EMO BON Handbook \u2013 setting a minimum standard for participation to the network. DNA extraction and sequencing will be performed at a centralised facility to reduce biases and ensure consistency in the high-quality of sequencing. The data generated within this initiative will follow the FAIR data principles. The life cycle of the EMO BON data will be described in detail in the EMO BON Data Management Plan. Overall, EMBRC aims to build a long-term genomic observatory, generating cost-effective, high-quality, baseline genomic biodiversity data that will be produced in the long term. This Handbook contains all the guidelines and procedures from sampling to sequencing that will be followed within EMO BON. The purpose of this document is not only to ensure the rigorous adhesion to the appropriate protocols within EMO BON, but also to provide all the necessary information to potential external participants from the wider scientific community. - , - European Marine Biological Resource Centre - , - Published - , - Refereed - , - Current - , - 13 - , - 14 - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Microbe biomass and diversity (*emerging) - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Genetic diversity - , - Species abundances - , - Species distributions - , - Taxonomic\/phylogenetic diversity - , - Sea surface salinity - , - Sea surface temperature - , - Subsurface salinity - , - Subsurface temperature - , - Plankton - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1738", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1738", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1738", "url": "https:\/\/hdl.handle.net\/11329\/1738" }, "author": [ { "@type": "Person", "name": "Santi, Ioulia" }, { "@type": "Person", "name": "Casotti, Raffaella" }, { "@type": "Person", "name": "Comtet, Thierry" }, { "@type": "Person", "name": "Cunliffe, Michael" }, { "@type": "Person", "name": "Koulouri, Panayota (Yolanda)" }, { "@type": "Person", "name": "Macheriotou, Lara" }, { "@type": "Person", "name": "Not, Fabrice" }, { "@type": "Person", "name": "Obst, Matthias" }, { "@type": "Person", "name": "Pavloudi, Christina" }, { "@type": "Person", "name": "Romac, Sarah" }, { "@type": "Person", "name": "Thiebaut, Eric" }, { "@type": "Person", "name": "Vanaverbeke, Jan" }, { "@type": "Person", "name": "Pade, Nicolas" } ], "contributor": [ { "@type": "Organization", "name": "EMBRC-ERIC" } ], "keywords": [ "Autonomous Reef Monitoring Structures", "Seawater", "Water column", "Plankton", "Bacteria", "Microbial eukaryotes", "Sediment", "Soft substrates", "Meiobenthos", "Macrobenthos", "Hard substrates", "Labile organisms", "Motile organisms", "Metagenomics", "Metabarcoding", "Biological oceanography", "Environment", "balances and scales", "benthos samplers", "plankton nets", "sediment grabs", "sieves and filters", "Controlled vocabulary development", "Data acquisition", "Data aggregation", "Data archival\/stewardship\/curation", "Data citation", "Data management planning and strategy development", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1539", "name": "Development of a Comparison Framework for Evaluating Environmental Contours of Extreme Sea States.", "description": " - Environmental contours of extreme sea states are often utilized for the purposes of reliability-based offshore design. Many methods have been proposed to estimate environmental contours of extreme sea states, including, but not limited to, the traditional inverse first-order reliability method (I-FORM) and subsequent modifications, copula methods, and Monte Carlo methods. These methods differ in terms of both the methodology selected for defining the joint distribution of sea state parameters and in the method used to construct the environmental contour from the joint distribution. It is often difficult to compare the results of proposed methods to determine which method should be used for a particular application or geographical region. The comparison of the predictions from various contour methods at a single site and across many sites is important to making environmental contours of extreme sea states useful in practice. The goal of this paper is to develop a comparison framework for evaluating methods for developing environmental contours of extreme sea states. This paper develops generalized metrics for comparing the performance of contour methods to one another across a collection of study sites, and applies these metrics and methods to develop conclusions about trends in the wave resource across geographic locations, as demonstrated for a pilot dataset. These proposed metrics and methods are intended to judge the environmental contours themselves relative to other contour methods, and are thus agnostic to a specific device, structure, or field of application. The metrics developed and applied in this paper include measures of predictive accuracy, physical validity, and aggregated temporal performance that can be used to both assess contour methods and provide recommendations for the use of certain methods in various geographical regions. The application and aggregation of the metrics proposed in this paper outline a comparison framework for environmental contour methods that can be applied to support design analysis workflows for offshore structures. This comparison framework could be extended in future work to include additional metrics of interest, potentially including those to address issues pertinent to a specific application area or analysis discipline, such as metrics related to structural response across contour methods or additional physics-based metrics based on wave dynamics. - , - Refereed - , - 14 - , - Sea state - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1539", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1539", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1539", "url": "https:\/\/hdl.handle.net\/11329\/1539" }, "author": [ { "@type": "Person", "name": "Eckert, Aubrey" }, { "@type": "Person", "name": "Martin, Nevin" }, { "@type": "Person", "name": "Coe, Ryan G." }, { "@type": "Person", "name": "Seng, Bibiana" }, { "@type": "Person", "name": "Stuart, Zacharia" }, { "@type": "Person", "name": "Morrell, Zachary" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2493", "name": "ISO\/IEC 17025. General requirements for the competence of testing and calibration laboratories. Edition 1.", "description": " - ISO\/IEC 17025 enables laboratories to demonstrate that they operate competently and generate valid results, thereby promoting confidence in their work both nationally and around the world. It also helps facilitate cooperation between laboratories and other bodies by generating wider acceptance of results between countries. Test reports and certificates can be accepted from one country to another without the need for further testing, which, in turn, improves international trade. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2493", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2493", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2493", "url": "https:\/\/hdl.handle.net\/11329\/2493" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Laboratory quality", "Calibration laboratory", "Laboratory accreditation", "Cross-discipline", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/470", "name": "Lagrangian ocean analysis: fundamentals and practices.", "description": " - Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for tracking virtual particles. We then showcase some of the innovative applications of trajectory data, and conclude with some open questions and an outlook. The overall goal of this review paper is to reconcile some of the different techniques and methods in Lagrangian ocean analysis, while recognising the rich diversity of codes that have and continue to emerge, and the challenges of the coming age of petascale computing. - , - Refereed - , - 14.A - , - Surface currents - , - Subsurface currents - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/470", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/470", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/470", "url": "https:\/\/hdl.handle.net\/11329\/470" }, "author": [ { "@type": "Person", "name": "van Sebille, Erik" }, { "@type": "Person", "name": "Gri\ufb03es, Stephen M." }, { "@type": "Person", "name": "Abernathey, Ryan" }, { "@type": "Person", "name": "Adams, Thomas P." }, { "@type": "Person", "name": "Berlo\ufb00, Pavel" }, { "@type": "Person", "name": "Biastoch, Arne" }, { "@type": "Person", "name": "Blanke, Bruno" }, { "@type": "Person", "name": "Chassignet, Eric P." }, { "@type": "Person", "name": "Cheng, Yu" }, { "@type": "Person", "name": "Cotter, Colin J." }, { "@type": "Person", "name": "Deleersnijder, Eric" }, { "@type": "Person", "name": "D\u00f6\u00f6s, Kristofer" }, { "@type": "Person", "name": "Drake, Henri F." }, { "@type": "Person", "name": "Drijfhout, Sybren" }, { "@type": "Person", "name": "Gary, Stefan F." }, { "@type": "Person", "name": "Heemink, Arnold W." }, { "@type": "Person", "name": "Kjellsson, Joakim" }, { "@type": "Person", "name": "Koszalka, Inga Monika" }, { "@type": "Person", "name": "Lange, Michael" }, { "@type": "Person", "name": "Lique, Camille" }, { "@type": "Person", "name": "MacGilchrist, Graeme A." }, { "@type": "Person", "name": "Marsh, Robert" }, { "@type": "Person", "name": "Mayorga Adame, C. Gabriela" }, { "@type": "Person", "name": "McAdam, Ronan" }, { "@type": "Person", "name": "Nencioli, Francesco" }, { "@type": "Person", "name": "Paris, Claire B." }, { "@type": "Person", "name": "Piggott, Matthew D." }, { "@type": "Person", "name": "Polton, Je\ufb00 A." }, { "@type": "Person", "name": "R\u00fchs, Siren" }, { "@type": "Person", "name": "Shah, Syed H.A.M." }, { "@type": "Person", "name": "Thomas, Matthew D." }, { "@type": "Person", "name": "Wang, Jinbo" }, { "@type": "Person", "name": "Wolfram, Phillip J." }, { "@type": "Person", "name": "Zanna, Laure" }, { "@type": "Person", "name": "Zika, Jan D." } ], "keywords": [ "Ocean circulation", "Lagrangian analysis", "Connectivity Particle tracking", "Modelling", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2028", "name": "HELCOM Guidelines for monitoring beach litter.", "description": " - Litter on the coastline is one of the most obvious signs of marine litter. Surveys of litter on the beach allow for a detailed evaluation of litter in terms of amounts and composition. Its strength lies in the provision of information on potential harm to marine biota and ecosystems as well as social harm (aesthetic value, economic costs, hazard to human health) and, to some extent, on sources of litter and the potential effectiveness of management and measures applied. 1.2 Purpose and aims Monitoring of the number of litter items per 100 m beach segment provides information on the status both of spatial and temporal distribution of marine beach litter along the coast of the Baltic Sea area. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is compatible for the HELCOM pre-core indicator \u2018Beach litter\u2019 (STATE & CONSERVATION 5-2016, document 4J-27). - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2028", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2028", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2028", "url": "https:\/\/hdl.handle.net\/11329\/2028" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Marine litter", "Beach litter", "Coastal pollution", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2537", "name": "ISO 11923:1997. Water quality \u2014 Determination of suspended solids by filtration through glass-fibre filters. Edition 1. [Reviewed 2024]", "description": " - Describes a method for the determination of suspended solids in raw waters and waste waters by filtration though glass-fibre filters. The lower limit of the determination is approximately 2 mg\/l. Floating oil and other immiscible organic liquids interfere. - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2537", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2537", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2537", "url": "https:\/\/hdl.handle.net\/11329\/2537" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Suspended solids", "Glass fibre filters", "Pollutants", "Suspended particulate material", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/798", "name": "Performance Verification Statement for the In-Situ Troll 9500 Turbidity Probe.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ turbidity sensors. Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of the amount of suspended material. Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies to define turbidity in very specific terms based on optical methods of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as a relative measure of suspended sediment concentration. As described below in more detail, field tests that examine manufacturers\u2019 turbidity values against simultaneously determined measurements of transmissivity, total suspended solids, and particulate organic carbon were designed only to examine an instrument\u2019s ability to track changes in water clarity through time and NOT to determine how well the instrument\u2019s values directly correlated with the ancillary measurements. The use of turbidity sensors to estimate a specific parameter (such as TSS) in nature requires local calibration to take into account many factors including particle composition, size and shape, along with other any other light scattering influences from dissolved organic compounds. In this Verification Statement, we present the performance results of the In-Situ Troll 9500 Turbidity Probe evaluated in the laboratory and under diverse environmental conditions in moored field tests. A total of seven different field sites were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Particular matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/798", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/798", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/798", "url": "https:\/\/hdl.handle.net\/11329\/798" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Scianni, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2006", "name": "Guidelines for non-indigenous species monitoring by extended Rapid Assessment Survey (eRAS).", "description": " - The human-mediated introduction and establishment of non-indigenous species (NIS) in the marine environment are of worldwide concern. The main vectors for species introduction are maritime transport by either transport of organisms via ballast water or biofouling, and aquaculture. Further spread of species might also occur by smaller vessels and pleasure craft. Climate change and rising temperatures facilitate their establishment in temperate regions since many NIS originate from warmer areas. Nowadays notable efforts are undertaken to prevent or at least minimize new introductions. Unlike terrestrial NIS, marine invaders are almost impossible to eradicate and therefore, avoiding introduction is the most important mitigation measure. The HELCOM Baltic Sea Action Plan recognizes this in its Management Objectives for Maritime Activities: \u201cNo introductions of alien species from ships\u201d. 1.2 Purpose and aims Rapid Assessment Surveys (RAS) have been tested in many coastal areas and proven to be suitable and practicable tools for the monitoring of NIS (e.g. Pederson et al. 2003, Arenas et al. 2006, Minchin 2007, Nall et al. 2014, Bishop et al. 2015, Collin et al. 2015). RAS records the presence of mainly 1benthic NIS at defined study locations, but can be combined with a settlement panel program applied at different sites under defined conditions, i.e. the extended RAS (eRAS). This increases the likelihood of detecting small and rare fouling organisms or species living in deeper water. eRAS links the NIS monitoring sub-programme to the benthic part of the HELCOM\/OSPAR port monitoring survey scheme, which is aimed at the Ballast Water Management Convention. The resulting data can be used as part of the input for the assessment of the HELCOM core indicator \u2018Trends in arrival of non-indigenous species\u2019. The indicator compares NIS diversity at defined temporal intervals to a baseline, evaluating the present status relative to earlier situations. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2006", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2006", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2006", "url": "https:\/\/hdl.handle.net\/11329\/2006" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Monitoring", "Non-Indigenous species", "Indigenous species", "Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/731", "name": "Performance Verification Statement for NOC Nitrate Analyzer.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ nutrient analyzers during 2016 to characterize performance measures of accuracy, precision and reliability. The verification including a week of laboratory testing along with three moored field deployments in freshwater, estuarine, and oceanic coastal environments. Laboratory tests of accuracy, precision, and range were conducted at the University of Maryland\u2019s Chesapeake Biological Laboratory (CBL) in Solomons, MD. A series of five tests were conducted to evaluate performance under controlled challenge conditions including: concentration range, temperature, salinity, turbidity, and dissolved organic carbon. All laboratory tests were conducted in 250 L polypropylene tanks using RO water as the initial matrix, within a temperature controlled room. Instruments sampled from a common, well-mixed, test tank maintained at a documented level of known challenge condition. Instruments were set-up by the manufacturer daily prior to the start of each individual laboratory test, exposed to each test condition for a period of three hours, and programmed to sample at a minimum frequency of 30 minutes. Reference samples were collected every 30 minutes for five timepoints during corresponding instrument sampling times for each test. For the laboratory concentration range challenge the absolute difference between the NOCNO23 and reference measurement across all timepoints for trials C0 \u2013 C5 ranged from -1.3061 to 0.0234 mgN\/L, with an overall mean of -0.314 \u00b10.445 mgN\/L. There was significant trend in instrument offset versus concentration as estimated by linear regression (p=0.0006; r2=0.39). The trend was driven by the substantially higher offsets at the C4 and C5 test concentrations (approximately 5 mgN\/L) where the measurement error approached 20%. An assessment of precision was performed by computing the standard deviations and coefficients of variation of the five replicate measurements for C1 \u2013 C5 concentration trials. The standard deviation of the mean ranged from 0.002 to 0.040 mgN\/L across the five trials, and the coefficient of variation ranged from 0.36 to 12.9 %. For the laboratory temperature challenge with testing at 5 oC, the absolute difference between instrument and reference measurement across all timepoints for trials C2 \u2013 C4 ranged from -0.629 to 0.056 mgN\/L, with a mean of -0.048 \u00b10.194 mgN\/L. The measurement difference at C2 was not significantly different between temperatures; however, the offset at C3 was significant greater at 5 oC then at 20 oC (0.032 vs. 0.003 mgN\/L). Only one timepoint comparison was generated for the C4 trial so no statistical comparison was possible, however the greater negative offset was similar to test results at 20 oC. For the laboratory salinity challenge performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the three added salinity levels ranged from -0.281 to 0.021 mgN\/L, with a mean of-0.155 \u00b10.086 mgN\/L. A linear regression between salinity and measurement error was not significant (p=0.17; r2=0.11), however, there was a noticeable increase in measurement variability and concentrations were consistently under-predicted at each added salinity level compared to zero. For the laboratory turbidity challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added turbidity levels ranged from 0.010 to 0.050 mgN\/L, with a mean of 0.030 \u00b10.016 mgN\/L. A linear regression of the measurement differences versus turbidity was not significant (p=0.15; r2=0.15). For the laboratory DOC challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added DOC levels ranged from -0.086 to 0.009 mgN\/L, with a mean of 0.039 \u00b10.042 mgN\/L. A linear regression of measurement differences versus DOC concentration was highly significant (p<0.0001; r2=0.79), with a slope of -0.004 and intercept of 0.029. The measurement offset was approximately 0.08 more negative at 10 mg\/L DOC compared to lab RO which corresponded to a relative error of approximately 8%. A 32 day deployment occurred fromwater which corresponded to a relative error of approximately 8%. A 32 day deployment occurred from May 26 through June 27 in the Maumee River, at the facilities of the Bowling Green, Ohio Water Treatment Plant. The NOC-NO23 operated during the entire 32 day deployment sampling at hourly intervals, but due to a faulty SD memory card, the data from 5\/27 to 6\/7 were lost and during the last 6 days of the deployment 122 values were flagged by the instrument as \u201clow precision\u201d. Overall, the NOC-NO23 generated 375 accepted observations out of a possible 763 for a data completion result of 49.1%. The average and standard deviation of the measurement difference between instrument and reference NO3 measurements for each matched pair (n=21 of a possible 51 observations) over the total deployment was -1.38 \u00b1 1.29 mgN\/L with a total range of -6.12 to 2.16 mgN\/L. There was no significant trend in measurement difference over time as estimated by linear regression (p= 0.48; r2=0.027). A linear regression of instrument versus reference measurement was highly significant (p<0.001; r2 = 0.77) but with a slope of only 0.546 and intercept of 0.81. An 84 day moored field test was conducted in Chesapeake Bay from July 18 to October 10, 2016. The NOC-NO23 malfunctioned during the first 3 days of the deployment, and the manufacturer was given permission to exchange the instrument with a new unit but keeping the same reagent and standards originally prepared. The replacement instrument operated from 7\/21 to 8\/21, measuring at hourly intervals, but then also failed. The instrument returned 603 data point out of a possible 2012 for the entire deployment period, with 1359 points missing and 50 flagged with no result calculated. While the unit was deployed it reported 603 of a possible 653 values for a data completion result of 92.3% (but only 33% of the scheduled total deployment was achieved). The average and standard deviation of the measurement difference between instrument and reference NO3 measurements for each matched pair (n=47 of a possible 103 observations) over the total deployment was -0.005 \u00b10.010 mgN\/L, with the total range of differences between -0.027 to 0.031 mgN\/L. There no significant trend in measurement difference over time (p=0.85; r2=0.001). A linear regression of the data was highly significant (p<0.0001; r2 = 0.53), but with a slope of only 0.54 and intercept of 0.0009. A one month long moored field test was conducted in Kaneohe Bay from October 3, 2016 to November 2, 2016. The NOC-NO23 operated successfully for the entire 30 day deployment, sampling at hourly intervals, returning 720 measurements for a data completion result of 100%. The average and standard deviation of the differences between instrument and reference readings over the entire deployment (n=73 out of a possible 73) were -0.013 \u00b1 0.007 mgN\/L, with a total range in the differences of -0.0394 to -0.0029 mgN\/L. There was a small but statistically significant trend in the measurement difference over time (p=0.0009; r2 = 0.182) during the deployment, with a slope of 0.0003 mgN\/L\/d. The NOC-NO23 under-predicted all measurements and a linear regression of instrument versus reference concentrations was not significant (p=0.13; r2 = 0.04). - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/731", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/731", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/731", "url": "https:\/\/hdl.handle.net\/11329\/731" }, "author": [ { "@type": "Person", "name": "Johengen, T" }, { "@type": "Person", "name": "Purcell, H" }, { "@type": "Person", "name": "Tamburri, M" }, { "@type": "Person", "name": "Loewensteiner, G.J." }, { "@type": "Person", "name": "Schar, D" }, { "@type": "Person", "name": "McManus, M" }, { "@type": "Person", "name": "Walker, G" } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/805", "name": "Protocols for the ACT Verification of In Situ Dissolved Oxygen Sensors. [Superseded by : https:\/\/repository.oceanbestpractices.org\/handle\/11329\/725]", "description": " - As part of our service to the coastal community, ACT Partner Institutions and Stakeholder Council has chosen the perform ance verification of commercially available in situ dissolved oxygen sensors as the first ACT Technology Evaluation. There are a variety of dissolved oxygen sensors\/electr odes currently available, many of which use polargraphic membrane measuring techniques. Recently, however, new optical luminescence dissolved oxygen sensors have been developed and are now on the market. Precise and reliable measurements of dissolved oxygen concentration (DO) with effective and reliable in situ sensors are critical for understanding many physiological and ecological processes and are required for a variety of coastal science and manage ment activities. For example, many coastal resource managers and scientists are interested in regions of very low levels of dissolved oxygen (hypoxia) in bottom-water or \"dead zones\". These areas of seas onally-depleted oxygen levels are natural phenom ena, but can be intensified spatially and temporally as a result of human activities (i.e., nutrient over-over enrichment). ACT has performed a customer needs and use assessment for in situ dissolved oxygen sensors. Scientists, resource managers, and other users of these technologies were asked to 1 ACT Verification Protocols ACT TV04-01 respond to a questionnaire regarding their curren t use or application of these instruments, limitations or problems with their current dissolved oxygen sensors, and the important parameters they use when selecting a dissolved oxygen sensor. The results of this assessment were used to identify the main applications and key parameters that ACT will evaluate in this Technology Verificatication. - , - Published - , - Refereed - , - Superseded - , - Oxygen - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/805", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/805", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/805", "url": "https:\/\/hdl.handle.net\/11329\/805" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1807", "name": "High-Precision Combined Tidal Forecasting Model.", "description": " - To improve the overall accuracy of tidal forecasting and ameliorate the low accuracy of single harmonic analysis, this paper proposes a combined tidal forecasting model based on harmonic analysis and autoregressive integrated moving average\u2013support vector regression (ARIMA-SVR). In tidal analysis, the resultant tide can be considered as a superposition of the astronomical tide level and the non-astronomical tidal level, which are affected by the tide-generating force and environmental factors, respectively. The tidal data are de-noised via wavelet analysis, and the astronomical tide level is subsequently calculated via harmonic analysis. The residual sequence generated via harmonic analysis is used as the sample dataset of the non-astronomical tidal level, and the tidal height of the system is calculated by the ARIMA-SVR model. Finally, the tidal values are predicted by linearly summing the calculated results of both systems. The simulation results were validated against the measured tidal data at the tidal station of Bay Waveland Yacht Club, USA. By considering the residual non-astronomical tide level effects (which are ignored in traditional harmonic analysis), the combined model improves the accuracy of tidal prediction. Moreover, the combined model is feasible and efficient. - , - National Natural Science Foundation of China - , - Refereed - , - 14.a - , - Sea surface height - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1807", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1807", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1807", "url": "https:\/\/hdl.handle.net\/11329\/1807" }, "author": [ { "@type": "Person", "name": "Liu, Jiao" }, { "@type": "Person", "name": "Shi, Guoyou" }, { "@type": "Person", "name": "Zhu, Kaige" } ], "keywords": [ "Tidal level prediction", "Combined model", "Harmonic analysis method", "Support Vector Regression (SVR)", "Autoregressive Integrated Moving Average Model (ARIMA)", "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1714", "name": "Ocean Data Standards Volume 5: SeaDataNet Cruise Summary Report (CSR) metadata model for Cruise Reporting \u2013 XML encoding (including SeaDataNet CSR metadata profile of ISO 19115-2 \u2013 XML encoding, V5.2.0).", "description": " - Proposal to adopt SeaDataNet CSR XML encoding as the reference XML implementation of SeaDataNet CSR metadata model. The SeaDataNet infrastructure, its standards, services and products started to build since the mid-1990s under the EU MAST Programmes with the precursor EDMED, EURONODIM, MEDATLAS projects and continued with the EU-FP5 SeaSearch project (2002-2005). Under EU-FP6 Programme, the distributed SeaDataNet system was set up (2006-2011) and continued into its second phase under the EU-FP7 SeaDataNet II project (2011-2015). In the EU HORIZON 2020 SeaDataCloud project, the infrastructure is being upgraded and expanded making use of cloud services, High Performance Computing technology and taking into account the European Open Science Cloud (EOSC) challenge. SeaDataNet CSR XML encoding has been drafted, published and firstly implemented in the context of SeaDataNet, the leading infrastructure in Europe for marine & ocean data management. Its wide implementation, both by data centres within SeaDataNet and by external organizations makes it also a de-facto standard in the Europe region. The acknowledgement of SeaDataNet CSR XML encoding as a recommended standard by IODE\/JCOMM will further favour interoperability between European data centres and outreach to the broader marine community. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1714", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1714", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1714", "url": "https:\/\/hdl.handle.net\/11329\/1714" }, "author": [ { "@type": "Person", "name": "Schaap, Dick M.A." }, { "@type": "Person", "name": "Tamm, Susanne" }, { "@type": "Person", "name": "Tosello, Vanessa" }, { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" }, { "@type": "Person", "name": "Fichaut, Michele" } ], "contributor": [ { "@type": "Organization", "name": "IODE\/UNESCO" } ], "keywords": [ "SeaDataNet", "Cross-discipline", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1744", "name": "Reassessment of long-period constituents for tidal predictions along the German North Sea coast and its tidally influenced rivers.", "description": " - The harmonic representation of inequalities (HRoI) is a procedure for tidal analysis and prediction that combines aspects of the non-harmonic and the harmonic method. With this technique, the deviations of heights and lunitidal intervals, especially of high and low waters, from their respective mean values are represented by superpositions of long-period tidal constituents. This article documents the preparation of a constituents list for the operational application of the harmonic representation of inequalities. Frequency analyses of observed heights and lunitidal intervals of high and low water from 111 tide gauges along the German North Sea coast and its tidally influenced rivers have been carried out using the generalized Lomb\u2013Scargle periodogram. One comprehensive list of partial tides is realized by combining the separate frequency analyses and by applying subsequent improvements, e.g. through manual inspections of long time series data. The new set of 39 partial tides largely confirms the previously used set with 43 partial tides. Nine constituents are added and 13 partial tides, mostly in the close neighbourhood of strong spectral components, are removed. The effect of these changes has been studied by comparing predictions with observations from 98 tide gauges. Using the new set of constituents, the standard deviations of the residuals are reduced on average by 2.41% (times) and 2.30% (heights) for the year 2016. The new set of constituents will be used for tidal analyses and predictions starting with the German tide tables for the year 2020. - , - Refereed - , - 14.a - , - Sea state - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1744", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1744", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1744", "url": "https:\/\/hdl.handle.net\/11329\/1744" }, "author": [ { "@type": "Person", "name": "Boesch, Andreas" }, { "@type": "Person", "name": "M\u00fcller-Navarra, Sylvin" } ], "keywords": [ "Tidal analysis", "Tidal prediction", "Physical oceanography", "Tide gauges" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1909", "name": "Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis.", "description": " - A thorough and reliable assessment of changes in sea surface water temperatures (SSWTs) is essential for understanding the effects of global warming on long-term trends in marine ecosystems and their communities. The first long-term temperature measurements were established almost a century ago, especially in coastal areas, and some of them are still in operation. However, while in earlier times these measurements were done by hand every day, current environmental long-term observation stations (ELTOS) are often fully automated and integrated in cabled underwater observatories (UWOs). With this new technology, year-round measurements became feasible even in remote or difficult to access areas, such as coastal areas of the Arctic Ocean in winter, where measurements were almost impossible just a decade ago. In this context, there is a question over what extent the sampling frequency and accuracy influence results in long-term monitoring approaches. In this paper, we address this with a combination of lab experiments on sensor accuracy and precision and a simulated sampling program with different sampling frequencies based on a continuous water temperature dataset from Svalbard, Arctic, from 2012 to 2017. Our laboratory experiments showed that temperature measurements with 12 different temperature sensor types at different price ranges all provided measurements accurate enough to resolve temperature changes over years on a level discussed in the literature when addressing climate change effects in coastal waters. However, the experiments also revealed that some sensors are more suitable for measuring absolute temperature changes over time, while others are more suitable for determining relative temperature changes. Our simulated sampling program in Svalbard coastal waters over 5 years revealed that the selection of a proper sampling frequency is most relevant for discriminating significant long-term temperature changes from random daily, seasonal, or interannual fluctuations. While hourly and daily sampling could deliver reliable, stable, and comparable results concerning temperature increases over time, weekly sampling was less able to reliably detect overall significant trends. With even lower sampling frequencies (monthly sampling), no significant temperature trend over time could be detected. Although the results were obtained for a specific site, they are transferable to other aquatic research questions and non-polar regions. - , - Refereed - , - 14.a - , - N\/A - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1909", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1909", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1909", "url": "https:\/\/hdl.handle.net\/11329\/1909" }, "author": [ { "@type": "Person", "name": "Fischer, P." }, { "@type": "Person", "name": "Dietrich, P." }, { "@type": "Person", "name": "Achterberg, E.P." }, { "@type": "Person", "name": "Anselm, N." }, { "@type": "Person", "name": "Anselm, N." }, { "@type": "Person", "name": "Brix, H." }, { "@type": "Person", "name": "Bussmann, I." }, { "@type": "Person", "name": "Eickelmann, L." }, { "@type": "Person", "name": "Fl\u00f6ser, G." }, { "@type": "Person", "name": "Friedrich, M." }, { "@type": "Person", "name": "Rust, H." }, { "@type": "Person", "name": "Sch\u00fctze, C." }, { "@type": "Person", "name": "Koedel, U." } ], "keywords": [ "Sensor selection", "Sampling scheme", "Environmental monitoring", "Precision", "Accuracy", "Water column temperature and salinity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1545", "name": "Instrumenting our oceans for better observation: a training course on a suite of biogeochemical sensors: IOCCP & BONUS INTEGRAL Training Course.", "description": " - Ocean properties vary on a number of time-scales and it is necessary to obtain high quality, high resolution (both spatial and temporal) biogeochemical measurements in order to tease out human from naturally-induced changes. In this regard, biogeochemical ocean time-series represent one of the most valuable tools scientists have to characterise and quantify ocean carbon fluxes and biogeochemical processes and their links to changing climate. In recent years, the importance of biogeochemical time-series has been underscored in light of issues of global, regional and local climatic and societal relevance. Ship-based biogeochemical monitoring is critical to understand ocean changes, but these are costly and therefore have limited temporal resolution. Ocean technology has leapt to the aid of scientists by providing them with cost-effective tools that can take measurements of essential biogeochemical variables autonomously, i.e. sensors on autonomous platforms. These autonomous measurements are complementary to efforts carried out by traditional ship-based sampling, with the aim of improving data coverage worldwide. Yet, despite these options becoming more readily available, there is still a gap between the technology and the end-user. This is born out of lack of training, lack of in-depth knowledge, and lack of community coordination. There is also a disconnect between data gathering by autonomous sensors and data quality, which is a major obstacle as these sensors are already being deployed on autonomous platforms in several different projects in many ocean regions. Indeed, the Panel for Integrated Coastal Observation (PICO) pointed out that while some of the required technologies are mature, the implementation on a global scale may be limited by lack of common standards and protocols and\/or calibrated and validated algorithms for translating data into useful information. 2019 Sensors Training Course Building on the success of the 2015 training course, the International Ocean Carbon Coordination Project (IOCCP) and EU BONUS INTEGRAL Project (Integrated carboN and TracE Gas monitoRing for the bALtic sea) have organizing a 10-day international training course on \"Instrumenting our ocean for better observation:a training course on a suite of biogeochemical sensors.\" The course was held on June 10-19, 2019 at the Sven Lov\u00e9n Center for Marine Sciences, in Kristineberg, Sweden. This course responded to the growing demand of the global ocean observing system and the marine biogeochemistry community for expanding the correct usage and generation of information from a suite of autonomous biogeochemical sensors. The goal of the course was to train the new generation of marine biogeochemists in the use of a suite of biogeochemical sensors and to assure the best possible quality of the data produced. The workshop was limited to a total of 28 participants at an early career researcher level selected through a competitive process. This intensive training course provided trainees with lectures and hands-on field and laboratory experience with sensors (deployment, interfacing, troubleshooting and calibration), and provided in-depth knowledge on data reduction and quality control as well as data management. This course also offered an overview on the use of remote sensing, modelling and intelligent data extrapolation techniques. - , - 14 - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1545", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1545", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1545", "url": "https:\/\/hdl.handle.net\/11329\/1545" }, "keywords": [ "Biogeochemical sensors", "Calibration", "Deployment", "pCO2 sensors", "Oxygen sensors", "Training Course", "Biogeochemistry", "OTGA", "Instrument Type Vocabulary::Biological and biogeochemical models", "Instrument Type Vocabulary::pH sensors", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1593", "name": "Evaluation of a Ferrozine Based Autonomous in Situ Lab-on-Chip Analyzer for Dissolved Iron Species in Coastal Waters.", "description": " - The trace metal iron (Fe) is an essential micronutrient for phytoplankton growth and limits, or co-limits primary production across much of the world\u2019s surface ocean. Iron is a redox sensitive element, with Fe(II) and Fe(III) co-existing in natural waters. Whilst Fe(II) is the most soluble form, it is also transient with rapid oxidation rates in oxic seawater. Measurements of Fe(II) are therefore preferably undertaken in situ. For this purpose an autonomous wet chemical analyzer based on lab-on-chip technology was developed for the in situ determination of the concentration of dissolved (<0.45\u03bcm) Fe species (Fe(II) and labile Fe) suitable for deployments in a wide range of aquatic environments. The spectrophotometric approach utilizes a buffered ferrozine solution and a ferrozine\/ascorbic acid mixture for Fe(II) and labile Fe(III) analyses, respectively. Diffusive mixing, color development and spectrophotometric detection take place in three separate flow cells with different lengths such that the analyzer can measure a broad concentration range from low nM to several \u03bcM of Fe, depending on the desired application. A detection limit of 1.9 nMFe was found. Themicrofluidic analyzer was tested in situ for nine days in shallow waters in the Kiel Fjord (Germany) along with other sensors as a part of the SenseOCEAN EU-project. The analyzer\u2019s performance under natural conditions was assessed with discrete samples collected and processed according to GEOTRACES protocol [acidified to pH < 2 and analyzed via inductively coupled plasma mass spectrometry (ICP-MS)]. The mechanical performance of the analyzer over the nine day period was good (consistent high precision of Fe(II) and Fe(III) standards with a standard deviation of 2.7% (n = 214) and 1.9% (n = 217), respectively, and successful completion of every programmed data point). However, total dissolved Fe was consistently low compared to ICP-MS data. Recoveries between 16 and 75% were observed, indicating that the analyzer does not measure a significant fraction of natural dissolved Fe species in coastal seawater. It is suggested that an acidification step would be necessary in order to ensure that the analyzer derived total dissolved Fe concentration is reproducible and consistent with discrete values. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - In situ chemical analyzer - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1593", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1593", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1593", "url": "https:\/\/hdl.handle.net\/11329\/1593" }, "author": [ { "@type": "Person", "name": "Geissler, Felix" }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Beaton, Alexander D." }, { "@type": "Person", "name": "Hopwood, Mark J." }, { "@type": "Person", "name": "Clarke, Jennifer S." }, { "@type": "Person", "name": "Mutzberg, Andr\u00e9" }, { "@type": "Person", "name": "Mowlem, Matt C." }, { "@type": "Person", "name": "Connelly, Douglas P." } ], "keywords": [ "Dissolved iron", "Ferrozine", "Spectrophotometry", "Lab-on-chip", "Microfluidics", "Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2500", "name": "Ocean surface radiation measurement best practices.", "description": " - Ocean surface radiation measurement best practices have been developed as a first step to support the interoperability of radiation measurements across multiple ocean platforms and between land and ocean networks. This document describes the consensus by a working group of radiation measurement experts from land, ocean, and aircraft communities. The scope was limited to broadband shortwave (solar) and longwave (terrestrial infrared) surface irradiance measurements for quantification of the surface radiation budget. Best practices for spectral measurements for biological purposes like photosynthetically active radiation and ocean color are only mentioned briefly to motivate future interactions between the physical surface flux and biological radiation measurement communities. Topics discussed in these best practices include instrument selection, handling of sensors and installation, data quality monitoring, data processing, and calibration. It is recognized that platform and resource limitations may prohibit incorporating all best practices into all measurements and that spatial coverage is also an important motivator for expanding current networks. Thus, one of the key recommendations is to perform interoperability experiments that can help quantify the uncertainty of different practices and lay the groundwork for a multi-tiered global network with a mix of high-accuracy reference stations and lower-cost platforms and practices that can fill in spatial gaps. - , - Refereed - , - 14.a - , - Ocean surface heat flux - , - Mature - , - 2024-05-23 - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2500", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2500", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2500", "url": "https:\/\/hdl.handle.net\/11329\/2500" }, "author": [ { "@type": "Person", "name": "Riihimaki, Laura D." }, { "@type": "Person", "name": "Cronin, Meghan F." }, { "@type": "Person", "name": "Acharya, Raja" }, { "@type": "Person", "name": "Anderson, Nathan" }, { "@type": "Person", "name": "Augustine, John A." }, { "@type": "Person", "name": "Balmes, Kelly A." }, { "@type": "Person", "name": "Berk, Patrick" }, { "@type": "Person", "name": "Bozzano, Roberto" }, { "@type": "Person", "name": "Bucholtz, Anthony" }, { "@type": "Person", "name": "Connell, Kenneth J." }, { "@type": "Person", "name": "Cox, Christopher J." }, { "@type": "Person", "name": "di Sarra, Alcide G." }, { "@type": "Person", "name": "Edson, James" }, { "@type": "Person", "name": "Fairall, C.W." }, { "@type": "Person", "name": "Farrar, J. Thomas" }, { "@type": "Person", "name": "Grissom, Karen" }, { "@type": "Person", "name": "Guerra, Maria Teresa" }, { "@type": "Person", "name": "Hormann, Verena" }, { "@type": "Person", "name": "Jossia Joseph, K" }, { "@type": "Person", "name": "Lanconelli, Christian" }, { "@type": "Person", "name": "Melin, Frederic" }, { "@type": "Person", "name": "Meloni, Daniela" }, { "@type": "Person", "name": "Ottaviani, Matteo" }, { "@type": "Person", "name": "Pensieri, Sara" }, { "@type": "Person", "name": "Ramesh, K." }, { "@type": "Person", "name": "Rutan, David" }, { "@type": "Person", "name": "Samarinas, Nikiforos" }, { "@type": "Person", "name": "Smith, Shawn R." }, { "@type": "Person", "name": "Swart, Sebastiaan" }, { "@type": "Person", "name": "Tandon, Amit" }, { "@type": "Person", "name": "Thompson, Elizabeth J." }, { "@type": "Person", "name": "Venkatesan, R." }, { "@type": "Person", "name": "Verma, Raj Kumar" }, { "@type": "Person", "name": "Vitale, Vito" }, { "@type": "Person", "name": "Watkins-Brandt, Katie S." }, { "@type": "Person", "name": "Weller, Robert A." }, { "@type": "Person", "name": "Zappa, Christopher J." }, { "@type": "Person", "name": "Zhang, Dongxiao" } ], "keywords": [ "Ocean radiation", "Best practices", "Surface radiation budget", "Ocean surface heat flux", "Observing Air-Sea Interactions Strategy (OASIS)", "Ocean Best Practices System (OBPS)", "Other physical oceanographic measurements", "radiometers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1585.2", "name": "Application of Single Turnover Active Chlorophyll Fluorescence for Phytoplankton Productivity Measurements. Version 2.0, June, 26, 2023.", "description": " - This document represents the collective efforts of SCOR Working Group 156, \u2018Active Chlorophyll Fluorescence for Autonomous Measurements of Global Marine Primary Productivity\u2019. The group was established in 2019, bringing together researchers and instrument manufacturers from 10 countries and 6 continents to develop standards of best practice in the application of single turnover active chlorophyll fluorescence (ST-ChlF) for phytoplankton photo-physiology and productivity measurements. We focused our efforts on single turnover ChlF methods, which are most prevalent in phytoplankton research, while recognizing that other approaches, including Pulse Amplitude Modulation (PAM) fluorescence, are also commonly employed with macro-algae, corals and terrestrial plants. Some of the material in this document will apply to those related measurement techniques. During the period between 2019-2022, our group worked to build consensus around best practice for the collection, analysis, interpretation and archiving of ST-ChlF data from a variety of aquatic environments. This work was aimed at facilitating wide-spread use of ST-ChlF methods by the international research community, focussing on two key objectives outlined in the Working Group\u2019s terms of reference: 1. To develop, implement and document internationally-agreed best practice for the acquisition and analysis of ST-ChlF data to retrieve photosynthetic parameters and primary productivity estimates. 2. To develop, implement and document standardised ST-ChlF data output formats and archiving approaches. As a first step towards these objectives, we published a review article (Schuback et al. 2021), outlining applications, opportunities and current limitations of ST-ChlF measurements. This highlevel review was aimed at readers wishing to apply ST-ChlF methods and interpret the resulting data in the most robust manner possible. Journal length restrictions precluded in-depth treatment of many important topics, including instrument calibration, data fitting and spectral correction. In this User Guide, we expand on the material presented by Schuback et al. (2021), providing handson guidance for both experts and new users alike. With this document, we aim to provide both a strong theoretical background for ST-ChlF methods, and a practical handbook to inform the application of these methods across a wide range of aquatic environments. We assume that readers of have a basic understanding of aquatic photosynthesis, as outlined, for example, by Falkowski and Raven (2013). This document represents the first complete version of the SCOR ST-ChlF user guide. It is being released to the international research community for a period of open consultation. We encourage comments and suggestions, which can be addressed to the working group co-chairs, Philippe Tortell and David Suggett. We expect the contents of this User Guide to evolve significantly over time, through our own efforts and with input from other experts and end-users. Revised versions of the User Guide will be posted on the Ocean Best Practices site (https:\/\/www.oceanbestpractices.org\/), and interested readers are encouraged to check periodically for updates. In follow up work, we aim to further develop existing open-source software (e.g. Ryan-Keogh and Robinson, 2021) to facilitate ST-ChlF data analysis from a range of different instruments and formats. This document is intended to serve the needs of a wide range of users, from novices (first year graduate students, for example) to expert researchers with decades of experience using ST-ChlF methods. We anticipate that some readers will require only high-level information on key operational parameters needed for successful ST-ChlF measurements, while others will be interested in further exploring the underlying ideas and concepts. For this reason, the document includes appendices that provide greater detail on some topics presented in the main document. In subsequent versions of this User Guide, we aim to include linked Jupyter notebooks, with handson tutorials and data processing tools. These software tools will help facilitate the inter-comparison of measurements collected by different users and instruments, supporting the development of globally-coherent ST-ChlF data compilations. - , - SCOR - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Macroalgal canopy cover and composition - , - Mature - , - Novel (no adoption outside originators) - , - Phytoplankton primary production - , - Soliense, Chelsea, FIRe - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1585.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1585.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1585.2", "url": "https:\/\/hdl.handle.net\/11329\/1585.2" }, "author": [ { "@type": "Person", "name": "Berman-Frank, Ilana" }, { "@type": "Person", "name": "Campbell, Douglas" }, { "@type": "Person", "name": "Ciotti, Aurea" }, { "@type": "Person", "name": "Erickson, Zachary" }, { "@type": "Person", "name": "Fujiki, Tetsuichi" }, { "@type": "Person", "name": "Halsey, Kimberly" }, { "@type": "Person", "name": "Hickman, Anna" }, { "@type": "Person", "name": "Gorbunov, Maxime" }, { "@type": "Person", "name": "Hughes, David" }, { "@type": "Person", "name": "Kolber, Zbigniew" }, { "@type": "Person", "name": "Moore, Mark" }, { "@type": "Person", "name": "Oxborough, Kevin" }, { "@type": "Person", "name": "Prasil, Ondrej" }, { "@type": "Person", "name": "Robinson, Charlotte" }, { "@type": "Person", "name": "Ryan-Keogh, Thomas" }, { "@type": "Person", "name": "Silsbe, Greg" }, { "@type": "Person", "name": "Simis, Stefan" }, { "@type": "Person", "name": "Thomalla, Sandy" }, { "@type": "Person", "name": "Varkey, Deepa" } ], "contributor": [ { "@type": "Organization", "name": "Scientific Committee on Oceanic Research (SCOR) Working Group 156" } ], "keywords": [ "Chlorophyll fluorometer", "Phytoplankton", "Primary productivity", "SCOR WG 156", "Phytoplankton", "Fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1865", "name": "The Role of Producers\u2019 Organisations in the Sustainable Development of Aquaculture.", "description": " - The reformed Common Fisheries Policy (CFP) and the Common Market Organisation (CMO) encouraged the creation of aquaculture Producer Organisations (POs) and enhanced their responsibilities with a view of contributing to the objectives of those policies and promoting sustainability, food security, growth and employment through the management and implementation of collective actions. POs can be defined as any entity that has been formed and is controlled by producers in a specific sector to jointly pursue one or more of the objectives listed in the CMO Regulation, whether or not the entity is formally recognised. POs can take various legal forms, including cooperatives, associations or commercial organisations in which aquaculture producers are shareholders. POs are expected to carry out a complex exercise, namely, to develop and submit for approval to their managing authorities\u2019 Production and Marketing Plans1 (PMPs), whereas the European Maritime and Fisheries Fund (EMFF) allows for public financing for the development and implementation of the PMPs The PMPs contain mandatory measures to ensure the environmental sustainability of aquaculture activities and provisional market-oriented measures to strengthen farmers\u2019 market position. In brief, it could be identified as a \u201csustainability plan\u201d for aquaculture. 1 Regulation EU No 1379\/2013 on the common organisation of the markets in fishery and aquaculture products 2 Regulation EU No 508\/2014 on the European Maritime and Fisheries Fund 3 Commission recommendation on the establishment and implementation of the Production and Marketing Plans, 2014\/117\/EU 4 Recommendation on the Role of POs in the Sustainable Development of Aquaculture Recently, the European Commission (EC) adopted two strategic policies: the European Green Deal to address climate change and environmental degradation and the Farm to Fork Strategy for a fair, healthy and environmentally friendly food system. POs are also a key element in achieving the objectives of these strategies. Farmed fish and seafood generate a lower carbon footprint than animal production on land4, and POs can elaborate the PMPs collective measures to further improve the carbon footprint of aquaculture operations and to assist the transition to a sustainable food system that will deliver affordable foods, improve the incomes of primary producers, improve environmental and animal welfare, and reinforce the EU\u2019s competitiveness. Furthermore, the situation faced by the aquaculture sector due to the outbreak of COVID-19 has demonstrated the value of PO for collective action. Within this context, it is necessary to further enhance the responsibilities of POs and provide the necessary financial support to allow them to play a more meaningful role in the day-to-day management of aquaculture, while respecting the framework defined by objectives of the CFP, CMO, Green Deal and Farm to Fork strategy. According to data available from the EC, in 2021, more than 210 POs were recognised by EU countries under common EU-wide rules6. Out of the 210 POs, only 34 are related to aquaculture (16%), a figure that demonstrates a very low uptake from the aquaculture sector. More specifically, 12% (26 POs) of the total recognised POs represent finfish aquaculture (marine and fresh water), and almost 4% (8 POs) represent shellfish producers. The objective of this recommendation is to: 1. Present the enhanced role of aquaculture POs in promoting the sustainable development of aquaculture and contributing to the objectives of strategic European policies. 2. Provide feedback on the difficulties faced by existing POs in implementing their PMP or on individual stakeholders to set up a PO. 3. Propose actions that encourage the creation of POs and their effective contributions to the sustainable development of aquaculture. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.2 - , - N\/A - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1865", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1865", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1865", "url": "https:\/\/hdl.handle.net\/11329\/1865" }, "contributor": [ { "@type": "Organization", "name": "Aquaculture Advisory Council (AAC)" } ], "keywords": [ "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1008", "name": "OGC\u00ae GeoPackage Encoding Standard. Version 1.2. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-529]", "description": " - This OGC\u00ae Encoding Standard defines GeoPackages for exchange and GeoPackage SQLite Extensions for direct use of vector geospatial features and \/ or tile matrix sets of earth images and raster maps at various scales. Direct use means the ability to access and update data in a \"native\" storage format without intermediate format translations in an environment (e.g. through an API) that guarantees data model and data set integrity and identical access and update results in response to identical requests from different client applications. GeoPackages are interoperable across all enterprise and personal computing environments, and are particularly useful on mobile devices like cell phones and tablets in communications environments with limited connectivity and bandwidth. - , - Published - , - Refereed - , - Superseded - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1008", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1008", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1008", "url": "https:\/\/hdl.handle.net\/11329\/1008" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/829", "name": "QARTOD V Final Report: Fifth Workshop on the QA\/QC of Real-time Oceanographic Data", "description": " - Quality Assurance of Real-time Oceanographic Data (QARTOD) workshops are convened and attended by representatives from agencies and institutions with an interest in the quality assurance and quality control of oceanographic observations, including the Integrated Ocean Observing System (IOOS) community. Attendance is unrestricted, and participants are supported by their own organizations. In several cases, support for an invited speaker has been provided. The workshops bring together people from all aspects of data acquisition and delivery\u2014those deploying systems, those responsible for the real-time quality control, database managers, people with an interest in the development of effective metadata, and data users. The National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) National Data Buoy Center (NDBC) hosted the first meeting in 2003 in Bay St. Louis, MS. Over 80 participants attended with the goal of developing minimum standards for calibration, quality assurance (QA) and quality control (QC) methods, and metadata content. The workshop resulted in a report that summarized the recommendations on these issues and on future workshops. QARTOD II was held February 28-March 2, 2005 in Norfolk, VA, and it focused on calibration and metadata QA\/QC issues for current (acoustic Doppler current profiling and high frequency radar surface current mapping) and wave measurements, primarily from buoys. QARTOD III was held November 2-4, 2005 at the Scripps Institution of Oceanography in La Jolla, CA. It continued the work on waves, including those using acoustic Doppler technologies, and current measurements, including high frequency (HF) radar and in situ observations, and commenced work on conductivity, temperature, and density (CTD) measurements. QARTOD IV was held at the Woods Hole Oceanographic Institution (WHOI) June 21-23, 2006, and the focus shifted from QC tests to data quality assessment. QARTOD V was co-chaired by Dr. Bill Burnett (NOAA\/NWS\/NDBC) and Mark Bushnell (NOAA National Ocean Service [NOS] Center for Operational Oceanographic Products and Services [CO-OPS] and continued the pursuit of new standards, notably for a variety of biogeochemical parameters such as dissolved oxygen (DO), turbidity, and chlorophyll, and the evaluation and acceptance of previously developed standards for waves and in situ currents relating to acoustic Doppler quality control. The agenda included plenary presentations describing activities by the U.S. Geological Survey (USGS) (Dan Sullivan, Co-Chair, Methods and Data Comparability Board), NOAA\u2019s Chesapeake Bay Interpretive Buoy System or CBIBS Data Management System (Henry Pierce, Tellus Applied Sciences), IOOS (Charles Alexander, IOOS Operations Chief, Data Integration Framework), the Woods Hole Oceanographic Institution (Janet Fredericks, Q2O, WHOI Martha\u2019s Vineyard Coastal Observatory), and the Alliance for Coastal Technologies or ACT (Mario Tamburri). - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/829", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/829", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/829", "url": "https:\/\/hdl.handle.net\/11329\/829" }, "contributor": [ { "@type": "Organization", "name": "NOAA\/NWS\/National Data Buoy Center" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1130", "name": "Kimberley Saltwater Monitoring Toolbox. WAMSI Kimberley Marine Research Program Final Report Subproject 1.5.5.", "description": " - The Kimberley Indigenous Saltwater Science Project (KISSP) was a collaboration funded by the Western Australian Marine Science Institute (WAMSI) as part of their Kimberley Marine Research Program (KMRP). The KISSP was developed to improve the way natural and cultural resource management and research, involving Traditional Owners and the science community, is planned, assessed and undertaken on Kimberley Saltwater Country. Saltwater encompasses the traditional lands of saltwater peoples and includes the coastline, islands, and the seabed and marine environment (Lincoln et al, 2017). The KISSP was guided by a Working Group comprised of representatives from seven Kimberley saltwater groups (Balanggarra, Wunambal-Gaambera, Dambimangari, Bardi-Jawi, Nyul Nyul, Yawuru and Karajarri) and a project team, comprised of the University of Western Australia (UWA), Charles Darwin University (CDU), Kimberley Land Council (KLC) and Mosaic Environmental. The KISSP Working Group determined the project team based on their specific skills and capacity, including their experience working with Traditional Owners in the Kimberley Region. The project objectives were identified by the Working Group to ensure a focus on local priorities and aspirations. The objectives sought to address some of the challenges experienced by researchers, Traditional Owners and Indigenous ranger groups when conducting saltwater research and monitoring activities. Through collaborations with the Kimberley Prescribed Body Corporate, Traditional Owners and Indigenous ranger teams, the KISSP aimed to: 1. Integrate Indigenous ecological knowledge and management practices into Kimberley marine conservation and management, 2. Develop a standard research protocol for land and sea research in the Kimberley, 3. Develop a framework for marine monitoring in the Kimberley, including development of a training package for agreed research targets for rangers. This report forms part of the KISSP outputs (specifically related to Objective 3) - , - Published - , - Refereed - , - Current - , - 4 - , - 8 - , - 14 - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1130", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1130", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1130", "url": "https:\/\/hdl.handle.net\/11329\/1130" }, "author": [ { "@type": "Person", "name": "Dobbs, Rebecca" }, { "@type": "Person", "name": "Austin, Beau" }, { "@type": "Person", "name": "Close, Paul" }, { "@type": "Person", "name": "Tingle, Fiona" }, { "@type": "Person", "name": "Lincoln, Gina" }, { "@type": "Person", "name": "Mathews, Dean" }, { "@type": "Person", "name": "Oades, Daniel" }, { "@type": "Person", "name": "Wiggan, Albert" }, { "@type": "Person", "name": "Bayley, Sam" }, { "@type": "Person", "name": "Edgar, Joe" }, { "@type": "Person", "name": "King, Thomas" }, { "@type": "Person", "name": "George, Kevin" }, { "@type": "Person", "name": "Mansfield, James" }, { "@type": "Person", "name": "Melbourne, Julie" }, { "@type": "Person", "name": "Vigilante, Tom" } ], "contributor": [ { "@type": "Organization", "name": "Western Australian Marine Science Institution" } ], "keywords": [ "Traditional Ecological Knowledge", "Indigenous engagement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1299", "name": "Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments.", "description": " - Building the capacity for monitoring and forecasting marine biogeochemistry and ecosystem dynamics is a scientific challenge of strategic importance in the context of rapid environmental change and growing public awareness of its potential impacts on marine ecosystems and resources. National Operational Oceanography centres have started to take up this challenge by integrating biogeochemistry in operational systems. Ongoing activities are illustrated in this paper by presenting examples of (pre-)operational biogeochemical systems active in Europe and North America for global to regional applications. First-order principles underlying biogeochemical modelling are briefly introduced along with the description of biogeochemical components implemented in these systems. Applications are illustrated with examples from the fields of hindcasting and monitoring ocean primary production, the assessment of the ocean carbon cycle and the management of living resources. Despite significant progress over the past 5 years in integrating biogeochemistry into (pre-)operational data-assimilation systems, a sustained research effort is still needed to assess these systems and their products with respect to their usefulness to the management of marine systems. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1299", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1299", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1299", "url": "https:\/\/hdl.handle.net\/11329\/1299" }, "author": [ { "@type": "Person", "name": "Gehlen, M." }, { "@type": "Person", "name": "Barciela, R." }, { "@type": "Person", "name": "Bertino, L." }, { "@type": "Person", "name": "Brasseur, P." }, { "@type": "Person", "name": "Butensch\u00f6n, M." }, { "@type": "Person", "name": "Chai, F." }, { "@type": "Person", "name": "Crise, A." }, { "@type": "Person", "name": "Drillet, Y." }, { "@type": "Person", "name": "Ford, D." }, { "@type": "Person", "name": "Lavoie, D." }, { "@type": "Person", "name": "Lehodey, P." }, { "@type": "Person", "name": "Perruche, C." }, { "@type": "Person", "name": "Samuelsen, A." }, { "@type": "Person", "name": "Simon, E." } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1610", "name": "Expanding the toolbox for cryopreservation of marine and freshwater diatoms.", "description": " - Diatoms constitute the most diverse group of microalgae and have long been recognised for their large biotechnological potential. In the wake of growing research interest in new model species and development of commercial applications, there is a pressing need for long-term preservation of diatom strains. While cryopreservation using dimethylsulfoxide (DMSO) as a cryoprotective agent is the preferred method for long-term strain preservation, many diatom species cannot be successfully cryopreserved using DMSO. Therefore, in this study, we studied cryopreservation success in six different diatom species, representing the major morphological and ecological diatom groups, using a range of DMSO concentrations and Plant Vitrification Solution 2 (PVS2) as an alternative cryoprotectant to DMSO. In addition, we tested whether suppressing bacterial growth by antibiotics accelerates the postthaw recovery process. Our results show that the effects of cryoprotectant choice, its concentration and the addition of antibiotics are highly species specific. In addition, we showed that PVS2 and antibiotics are useful agents to optimize cryopreservation of algae that cannot survive the traditional cryopreservation protocol using DMSO. We conclude that a species-specific approach will remain necessary to develop protocols for diatom cryopreservation and to increase their representation in public culture collections. - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1610", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1610", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1610", "url": "https:\/\/hdl.handle.net\/11329\/1610" }, "author": [ { "@type": "Person", "name": "Stock, Willem" }, { "@type": "Person", "name": "Pinseel, Eveline" }, { "@type": "Person", "name": "De Decker, Sam" }, { "@type": "Person", "name": "Sefbom, Josefin" }, { "@type": "Person", "name": "Blommaert, Lander" }, { "@type": "Person", "name": "Chepurnova, Olga" }, { "@type": "Person", "name": "Sabbe, Koen" }, { "@type": "Person", "name": "Vyverman, Wim" } ], "keywords": [ "Diatoms", "Microalgae", "Cryopreservation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1205", "name": "Defining the BASElines and standards for Microplastics ANalyses in European waters : Final report Project BASEMAN", "description": " - Persistent plastic litter amasses. It fragments over time, both before entering and within the marine environment. Together with micro-sized primary plastic litter from consumer products, this leads to an increasing amount of small plastic particles, so called microplastics (MP). The ubiquitous presence and massive accumulation of MP in marine habitats and the uptake of MP by at least 700 marine species biota is now well recognised by scientists and authorities worldwide. However, the impact of plastic particles on aquatic ecosystems is far from understood. A fundamental issue precluding assessment of the environmental risks arising from MP is the lack of standard operating procedures (SOP) for MP sampling and analysis. Consequently, there is a lack of reliable data on concentrations of MP and the composition of polymers within the marine environment. Comparability of data on MP concentrations is currently hampered by the huge variety of different methods, each generating data of very different quality and resolution. Although MPs are recognised as emerging contaminants in the environment, neither sampling, extraction, purification nor identification or quantification approaches are currently standardised, making the increasing numbers of MP studies hardly -if at allcomparable. The overall goal of the interdisciplinary and international collaborative research project BASEMAN was to overcome these problems through a profound and detailed comparison and evaluation of all approaches from sampling to identification of MP. The collaborative research project BASEMAN combined experienced MP scientists (from different disciplines and countries) in a cutting edge project addressing the JPI Oceans pilot call \u201cEcological aspects of MP in the marine environment\u201d. BASEMAN was structured in 5 work packages (WPs): Defining baselines for all relevant identification approaches (WP1), Preparation of standardized test samples for inter\u2010lab comparisons (WP2), Inter\u2010lab and inter\u2010method comparisons (WP3), Sampling methodologies for MPs in the marine environment: Standardization, suitability and intercomparison (WP4) and finally a coordination work package Coordination, Integration and Synthesis (WP5). In WP1 the strength and limitations of different analytical techniques with respect to MP identification, quantification (numbers and masses) were successfully investigated covering different Fourier-transform infrared spectroscopy (FTIR) techniques, Raman-microscopy, pyrolysis-gas chromatography\/mass spectrometry (py-GC\/MS) and py-GC\/MS with Orbitrap. Multi-spectroscopic databases for FTIR and Raman microscopy were generated encompassing \u201cpristine\u201d synthetic polymers, weathered synthetic polymers but also representative natural substances present in environmental matrices. For evaluation of the generated data, dedicated software pipelines were developed. A MP reference kit was produced and used for investigations on MP weathering and spiking of different samples in inter-lab comparison in WP2 and WP3. For inte-rlab comparisons, different sample matrices (plankton, sediment and biota) were spiked and provided to the participating BASEMAN partners. Unfortunately, unforeseen problems related to milling, sieving, handling & analyses (size distributions) of the polymer beads and the spiking procedure itself (transfer of the kit to the samples) lead to extreme delays. The inter-lab comparison approach to quantitate the small particle fractions below 100 \u03bcm particle size from the named matrices with methods of the current state of the art is considered as failed. However, with considerable further method development (including strict QA\/QC criteria), the task is considered feasible. Further, in the scope of WP3 several purification methods were developed and\/or optimized for the separation of microplastics from sediments. These included newly developed small-scale sediment separators based on density separation. Different purification methods were successfully investigated of which the use of alkaline digestion, enzymatic digestion, wet oxidation (including Fenton\u2019s reagent) were applied, evaluated and to some extent compared. To reduce contamination risks and allow an easier handling a \u201cpurification reactor\u201d was developed. In WP4, sampling methodologies for MP in the marine environment were standardized, evaluated (suitability) and compared. For this task, two joint cruises were conducted (Galway Bay, Ireland and Rias de Vigo, Spain). Both cruises intended to collect environmental samples of benthic sediments and water samples from surface and water column. Samples collected in both cruises were aimed to be processed under the same conditions by the different laboratories involved in order to estimate the associated errors of microplastic counting and identification. Furthermore, marine biota species were suggested that might serve as relevant and appropriate as biomonitoring species with respect to MP in Europe. Three white papers finally were generated: i) Standardization protocols for monitoring microplastics in seawater; ii)Standardization protocols for monitoring microplastics in sediments; and iii) Harmonized protocol for monitoring microplastics in biota (in collaboration with the JPI Oceans project EPHEMARE). In general, BASEMAN provided EU authorities with tools and operational measures that can be applied to describe the abundance and distribution of MP in the environment in existing (e.g. MSFD) or future monitoring requirements. - , - JPI Oceans - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1205", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1205", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1205", "url": "https:\/\/hdl.handle.net\/11329\/1205" }, "contributor": [ { "@type": "Organization", "name": "JPI-Oceans BASEMAN Project" } ], "keywords": [ "Microplastics", "BASEMAN Project", "Plastic debris", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1353", "name": "Conductivity-temperature-depth measuring Instruments.", "description": " - This file is applicable to the initial verification, subsequent verification and in-use inspection of conductivity-temperature-depth (CTD) measuring instruments. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1353", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1353", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1353", "url": "https:\/\/hdl.handle.net\/11329\/1353" }, "author": [ { "@type": "Person", "name": "Lili, Suo" }, { "@type": "Person", "name": "Haiqing, Zhu" }, { "@type": "Person", "name": "Jun, Wang" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine" } ], "keywords": [ "Standards", "Conductivity", "Pressure", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1367", "name": "Development of Surface Drifting Buoys for Fiducial Reference Measurements of Sea-Surface Temperature.", "description": " - This paper presents the conception and the metrological characterization of a new surface drifting buoy, designed to comply with the requirements of satellite sea-surface temperature (SST) measurement validation and to link, per comparison, these measurements to the SI. The reliability of this comparison is ensured by a High Resolution Sea-Surface Temperature (HRSST) sensor associated with a pressure sensor in a module called MoSens. This module can be calibrated in a laboratory to ensure traceability to the SI with an expanded uncertainty inferior to 0.01\u25e6C. This paper estimates the response time of the HRSST sensor based on theoretical considerations and compares the results with measurements carried out in a calibration bath. Once integrated in a number of buoys, the resulting network will contribute to create a fiducial reference measurement (FRM) network. The pressure sensor can be used as an indicator of the sea-state, which is important to consider in order to understand the comparison with satellite data. Two buoy prototypes have been tested at sea during several weeks and compared in situ to reference thermometers, demonstrating their reliability and the trueness of temperature measurements. - , - Refereed - , - 14.A - , - Sea surface temperature - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1367", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1367", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1367", "url": "https:\/\/hdl.handle.net\/11329\/1367" }, "author": [ { "@type": "Person", "name": "Le Menn, Marc" }, { "@type": "Person", "name": "Poli, Paul" }, { "@type": "Person", "name": "David, Arnaud" }, { "@type": "Person", "name": "Sagot, J\u00e9r\u00f4me" }, { "@type": "Person", "name": "Lucas, Marc" }, { "@type": "Person", "name": "O'Carroll, Anne" }, { "@type": "Person", "name": "Belbeoch, Mathieu" }, { "@type": "Person", "name": "Herklotz, Kai" } ], "keywords": [ "Surface observations", "Drifting buoys", "Satellite sensing", "Uncertainty", "SST", "Parameter Discipline::Physical oceanography::Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/894", "name": "Evaluation of an acoustic remote sensing method for frontal-zone studies using double-diffusive instability microstructure data and density interface data from intrusions.", "description": " - Understanding intrusive exchange at oceanic water mass fronts may depend on building data-constrained models of the processes, but obtaining the needed representative and comprehensive data is challenging. Acoustic imaging (remote sensing) is an attractive method for mapping the three-dimensional intrusion geometry to enable the required focused in situ sampling of the mixing processes in intrusions. The method depends on backscatter of sound from sharp interfaces and from microstructure resulting from double-diffusive instability (DDI), a probable occurrence at intrusions. The potential of the method is evaluated using data collected using established methods in a field of intrusions south of New England. Above and beneath warm and salty intrusions may lie diffusive\u2013convective DDI microstructure and salt-fingering microstructure, respectively, marking the intrusion boundaries, providing the backscattering features. The data show that both types of microstructure can occur in close proximity within intrusions, but the question of whether this is common or not is unanswered by the modest amount of data, as are questions about continuity of DDI-microstructure in intrusions (to facilitate intrusion acoustic imaging) and variability of DDI-driven heat, salt and buoyancy fluxes. Analysis here shows that detectable backscatter from DDI-microstructure will occur, and can be easily measured when plankton scattering is low enough. Interface scattering is also likely to be detectable. The DDI-linked microstructure data used here are inherently interesting in their own right and are presented in some detail. - , - EchosounderSouth New England shelf - , - Refereed - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/894", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/894", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/894", "url": "https:\/\/hdl.handle.net\/11329\/894" }, "author": [ { "@type": "Person", "name": "Duda, Timothy F." }, { "@type": "Person", "name": "Lavery, Andone C." }, { "@type": "Person", "name": "Sellers, Cynthia J." } ], "keywords": [ "Intrusions", "Double-diffusive microstructure", "Ocean mixing", "Acoustic backscatter", "Echosounder", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::multi-beam echosounders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2027.2", "name": "Guidelines for monitoring of phytoplankton species composition, abundance and biomass.", "description": " - Phytoplankton primary producers constitute the basis of the pelagic food web and phytoplankton community composition directly affects the nutrition, growth, reproduction and survival of different organisms (see H\u00e4llfors & Uusitalo 2013 and references therein) as well as the biogeochemical cycles of the Baltic Sea (Tamelander & Heiskanen 2004, Spilling & Lindstr\u00f6m 2008). In addition to providing data on the food web, phytoplankton monitoring provides essential information on the consequences of eutrophication and climate change (Suikkanen et al. 2007, 2013, H\u00e4llfors et al. 2013a, Kuosa et al. 2017). In the Baltic Sea, eutrophication has resulted in increases in summer phytoplankton abundance and biomass (Carstensen & Heiskanen 2007, Fleming-Lehtinen et al. 2008, Jaanus et al. 2011) as well as more frequent and intense blooms (Finni et al. 2001, Carstensen et al. 2007, Kahru and Elmgren 2014). Also, the phytoplankton species composition has been observed to change with different nutrient levels and ratios (Gasiunaite et al. 2005, Carstensen & Heiskanen 2007, Suikkanen et al. 2007, Jurgensone et al. 2011). Long-term monitoring has enabled determination of the annual phytoplankton succession and facilitates the recognizing of aberrant phenomena and their progression in the phytoplankton community (e.g. Hajdu et al. 2006, Fleming & Kaitala 2006, Klais et al. 2011, Majaneva et al. 2012, Olli et al. 2013). Phytoplankton monitoring also provides data on the biodiversity of phytoplankton communities (Uusitalo et al. 2013, H\u00e4llfors 2013, Olli et al. 2014), on harmful taxa (Lepp\u00e4nen et al. 1995, Wasmund 2002), and makes possible the detection of invasive alien species (Olenina et al. 2010). In addition, phytoplankton indicators derived from the monitoring data can be used for assessing the status of the marine environment (Uusitalo et al. 2013, Lehtinen et al. 2016, Wasmund et al. 2017). Phytoplankton species composition, abundance and biomass are monitored by counting phytoplankton from preserved water samples using the Uterm\u00f6hl inverted light microscopical method (Uterm\u00f6hl 1958), by the relevant authorities. 1.2 Purpose and aims In short, analysis of phytoplankton species composition, abundance and biomass is carried out for the following purposes: \u2022 to describe temporal trends in phytoplankton species composition, phytoplankton abundance, biomass as well as the intensity and occurrence of blooms \u2022 to describe the spatial distribution of phytoplankton species \u2022 to identify key phytoplankton species (e.g. dominating, harmful, potential non-indigenous and\/or invasive species, as well as indicator species) \u2022 to provide basic data for complex ecosystem analyses, food web studies, modelling as well as political and social requirements such as indicators in the frame of the Marine Strategy Framework Directive of the European Union (MSFD; European Union 2008) and the EU Water Framework Directive (WFD; European Union 2000). - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Species distributions - , - Community abundance - , - Plankton - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2027.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2027.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2027.2", "url": "https:\/\/hdl.handle.net\/11329\/2027.2" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Phytoplankton", "Uterm\u00f6hl inverted light microscopical method", "EN 15204", "EN 15972", "EN 16695", "Data acquisition", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1455", "name": "Best Practices for High Seas Fisheries Management: Lessons Learned.", "description": " - \u2022 Ecosystem-Based Management (EBM), used in concert with the Precautionary Approach (PA), shows promise for improving management of marine resources on the high seas. \u2022 An examination of the approaches, operational benchmarks (process, methodology or reference points) and best practices of 12 Regional Fisheries Management Organizations (RFMOs), all with direct regulatory authority, provides insight into guidelines for more effective high seas management through the adoption of EBM and PA. \u2022 Best practices include an overarching mandate with a broader ecosystem focus, precautionary principles and the use of the best available science in management decisions as well as precautionary decision rules, a comprehensive research programme and effective enforcement. \u2022 While RFMOs have made progress in identifying EBM and PA management measures, implementation has been slow. In order for there to be meaningful improvement in high seas ocean governance, new means for effectively deterring Illegal, Unreported and Unregulated (IUU) fishing activities will have to be identified. Such measures would include addressing the socio-economic drivers of IUU fishing, as was suggested in the final report of the ministerially led Task Force on IUU Fishing on the High Seas in March 2006. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1455", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1455", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1455", "url": "https:\/\/hdl.handle.net\/11329\/1455" }, "author": [ { "@type": "Person", "name": "Mooney-Seus, Marjorie L." }, { "@type": "Person", "name": "Rosenberg, Andrew A." } ], "contributor": [ { "@type": "Organization", "name": "Chatham House" } ], "keywords": [ "Parameter Discipline::Fisheries and aquaculture::Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1685", "name": "Satlantic ISUS Operation.", "description": " - Setting up and using the ISUS with Seabird CTD - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD-Rosette Seabird 911\/911+ - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1685", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1685", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1685", "url": "https:\/\/hdl.handle.net\/11329\/1685" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "ISUS", "Physical oceanography", "CTD", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2618", "name": "Report presenting the data quality aspects in relation with the submission mechanism requested to report towards the SDG indicator 14.3.1. MINKE Deliverable 9.12.", "description": " - This document is MINKE\u2019s Deliverable 9.12 \u201cReport presenting the data quality aspects in relation with the submission mechanism requested to report towards the SDG indicator 14.3.1\u201d. It describes MINKE perspectives on the monitoring of carbonate system variables, in particular pHT, in order to address the SDG 14.3 request regarding ocean acidification. The D9.12 summarises the carbonate chemistry Best Practices, uncertainty concepts and calculations discussed within MINKE and will be useful for reporting carbonate variables to the SDG ocean acidifi cation portal. - , - MINKE Project, funded by the European Commission within the Horizon 2020 Programme (2014\u20132020), GA 101008724 - , - Published - , - Current - , - 14.3.1 - , - Mature - , - Organisational - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2618", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2618", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2618", "url": "https:\/\/hdl.handle.net\/11329\/2618" }, "author": [ { "@type": "Person", "name": "Van Ganse, Sophie" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Hartman, Susan" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "Ocean acidification", "MINKE Project", "Cross-discipline", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/656", "name": "Recommendations for in-situ data Near Real Time Quality Control. [Version 1.2].", "description": " - With the construction of operational oceanography systems, the need for real-time has become more and more important. A lot of work had been done in the past, within National Data Centres (NODC) and International Oceanographic Data and Information Exchange (IODE) to standardise delayed mode quality control procedures. Concerning such quality control procedures applicable in real-time (within hours to a maximum of a week fr om acquisition), which means automatically, some recommendations were set up for physical parameters but mainly within projects without consolidation with other initiatives. During the past ten years the EuroGOOS community has been work ing on such procedures within international programs such as Argo, OceanSites or GOSUD, or within EC projects such as Mersea, MFSTEP, FerryBox, ECOOP, and MyOcean. In collaboration with the FP7 SeaDataNet project that is standardizing the delayed mode quality control procedures in NODCs, and MyOcean GMES FP7 project that is standardizing near real time quality control procedures for operational oceanography purposes, the DATA-MEQ working group decided to put together this document to summarize the recommendations for near real-time QC procedures that they judged mature enough to be advertised and recommended to EuroGOOS members. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/656", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/656", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/656", "url": "https:\/\/hdl.handle.net\/11329\/656" }, "contributor": [ { "@type": "Organization", "name": "EuroGOOS" } ], "keywords": [ "Reat Time Quality Control (RTQC)", "Salinity measurement", "Temperature measurment", "Sea level", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1679", "name": "Updating CalCOFI Hydrographic Database.", "description": " - How to update the CCDB Hydrographic Database in MySQL In addition to ERDDAP, SIO-CalCOFI has a smaller, queryable, online, hydrographic database. This query form includes bottle-related data only and resides at cappuccino.ucsd.edu. These instructions were composed after multiple attempts to update the large mySQL database table with new data. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1679", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1679", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1679", "url": "https:\/\/hdl.handle.net\/11329\/1679" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Data processing", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/460", "name": "Decision Guide: Selecting Decision Support Tools for Marine Spatial Planning.", "description": " - In this Decision Guide, the term marine spatial planning is used, but emphasis is placed on the systematic and spatial nature of these approaches rather than the name itself. The systematic component provides a framework for more comprehensive, flexible, well-governed, and science-based planning processes, while the spatial component adds a place-based focus to planning processes. The goals of these approaches are to promote efficient use of marine space and resources, while reducing use-use and use-ecosystem conflicts. To achieve these goals, resource planners and managers (hereafter referred to as practitioners) need spatially-explicit tools that can help (1) incorporate data from ecological, economic, and social systems; (2) trans- parently assess management alternatives and trade-offs; (3) involve stakeholders; and (4) evaluate progress towards management objectives. This Decision Guide, produced by the Center for Ocean Solutions (COS), is intended to assist practitioners in selecting appropriate decision support tools (DSTs) that can help them conduct marine spatial planning in their own jurisdictions. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/460", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/460", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/460", "url": "https:\/\/hdl.handle.net\/11329\/460" }, "contributor": [ { "@type": "Organization", "name": "The Woods Institute for the Environment, Stanford University" } ], "keywords": [ "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1450", "name": "Impact of HF radar current gap-filling methodologies on the Lagrangian assessment of coastal dynamics.", "description": " - High-frequency radar, HFR, is a cost-effective monitoring technique that allows us to obtain high-resolution continuous surface currents, providing new insights for understanding small-scale transport processes in the coastal ocean. In the last years, the use of Lagrangian metrics to study mixing and transport properties has been growing in importance. A common condition among all the Lagrangian techniques is that complete spatial and temporal velocity data are required to compute trajectories of virtual particles in the flow. However, hardware or software failures in the HFR system can compromise the availability of data, resulting in incomplete spatial coverage fields or periods without data. In this regard, several methods have been widely used to fill spatiotemporal gaps in HFR measurements. Despite the growing relevance of these systems there are still many open questions concerning the reliability of gap-filling methods for the Lagrangian assessment of coastal ocean dynamics. In this paper, we first develop a new methodology to reconstruct HFR velocity fields based on self-organizing maps (SOMs). Then, a comparative analysis of this method with other available gap-filling techniques is performed, i.e., open-boundary modal analysis (OMA) and data interpolating empirical orthogonal functions (DINEOFs). The performance of each approach is quantified in the Lagrangian frame through the computation of finite-size Lyapunov exponents, Lagrangian coherent structures and residence times. We determine the limit of applicability of each method regarding four experiments based on the typical temporal and spatial gap distributions observed in HFR systems unveiled by a K-means clustering analysis. Our results show that even when a large number of data are missing, the Lagrangian diagnoses still give an accurate description of oceanic transport properties. - , - Refereed - , - 14 - , - Surface currents - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1450", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1450", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1450", "url": "https:\/\/hdl.handle.net\/11329\/1450" }, "author": [ { "@type": "Person", "name": "Hern\u00e1ndez-Carrasco, Ismael" }, { "@type": "Person", "name": "Solabarrieta, Lohitzune" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Esnaola, Ganix" }, { "@type": "Person", "name": "Reyes, Emma" }, { "@type": "Person", "name": "Orfila, Alejandro" } ], "keywords": [ "HF Radar", "Lagrangian assessement", "Gap filling techniques", "Parameter Discipline::Physical oceanography::Currents" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/608", "name": "Ecological restoration for protected areas : principles, guidelines and best practices.", "description": " - This publication provides guidance for terrestrial, marine, and freshwater protected area managers at both system and site levels on the restoration of natural and associated values of protected areas. As this sometimes necessitates restoration beyond protected area borders (e.g., to address ecosystem fragmentation and maintain well-connected protected area systems), this guide uses the term restoration for protected areas for activities within protected areas and for activities in connecting or surrounding lands and waters that influence protected area values. It provides information on principles and best practice, with examples, and advice on the process of restoration, but is not a comprehensive restoration manual and does not give detailed methodologies and techniques. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/608", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/608", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/608", "url": "https:\/\/hdl.handle.net\/11329\/608" }, "author": [ { "@type": "Person", "name": "Keeneleyside, Karen A." }, { "@type": "Person", "name": "Dudley, Nigel" }, { "@type": "Person", "name": "Cairns, Stephanie" }, { "@type": "Person", "name": "Hall, Carol M." }, { "@type": "Person", "name": "Stolton, Sue" } ], "contributor": [ { "@type": "Organization", "name": "IUCN" } ], "keywords": [ "Protected area management", "Conservation", "Restoration ecology", "Parameter Discipline::Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1649", "name": "Best Practices Document Template: Ocean Modelling, Version 2023-06-26", "description": " - This Best Practice document template including metadata recommendations is provided by the Ocean Best Practices System as suggested content and format for the creation of new Best Practice documents for ocean modelling. This is version 2023-06-26 created with the help of a small group from the ocean observing community. It is expected that with usage by the community updated versions may be issued. - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1649", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1649", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1649", "url": "https:\/\/hdl.handle.net\/11329\/1649" }, "contributor": [ { "@type": "Organization", "name": "International Oceanographic Data and Information Exchange (IODE) for Ocean Best Practices System" } ], "keywords": [ "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/480", "name": "Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4. Volume IV: Inherent Optical Properties: Instruments, Characterizations, Field Measurements and Data Analysis Protocols. [and Erratum 1]", "description": " - Volume IV: This volume includes a chapter reviewing the scope of inherent optical properties (IOP) measurements (Chapter 1), followed by 4 chapters giving detailed calibration, measurement and analysis protocols for the beam attenuation coefficient (Chapter 2), the volume absorption coefficient measured in situ (Chapter 3), laboratory measurements of the volume absorption coefficients from discrete filtered seawater samples (Chapter 4), and in situ measurements of the volume scattering function, including determinations of the backscattering coefficient (Chapter 5). Chapter 4 of Volume IV is a slightly revised version of Chapter 15 in Revision 3, while the remaining chapters of this volume are entirely new contributions to the ocean optics protocols. These new chapters may be significantly revised in the future, given the rapidly developing state-of-the-art in IOP measurement instruments and methods. - , - Published - , - Current - , - Ocean colour - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/480", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/480", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/480", "url": "https:\/\/hdl.handle.net\/11329\/480" }, "author": [ { "@type": "Person", "name": "Pegau, S." }, { "@type": "Person", "name": "Zaneveld, J. R. V." }, { "@type": "Person", "name": "Mitchell, G. B." }, { "@type": "Person", "name": "Mueller, J. L." }, { "@type": "Person", "name": "Kahru, M." }, { "@type": "Person", "name": "Wieland, J." }, { "@type": "Person", "name": "Stramska, M." } ], "contributor": [ { "@type": "Organization", "name": "Goddard Space Flight Space Center." } ], "keywords": [ "In-situ measurements", "Laboratory measurements", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data processing", "Data Management Practices::Data analysis", "Data Management Practices::Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1551", "name": "Development of Spatial Data Infrastructures for Marine Data Management; OGC - IHO Marine SDI Concept Development Study (CDS).", "description": " - This engineering report presents the results of a concept development study on a Marine Spatial Data Infrastructure (SDI), sponsored by the National Geospatial- Intelligence Agency (NGA) - Maritime Safety Office (MSO), on behalf of the International Hydrographic Organization (IHO) and the IHO MSDI Working Group (MSDIWG), and executed by the Open Geospatial Consortium (OGC). The goal of this study was to demonstrate to stakeholders the diversity, richness and value of a Marine SDI \u2013 specifically data, analysis, interoperability and associated IT services - including web services - in addressing needs of the marine domain. The study included an open Request for Information (RFI) with the objective to gather additional information to better support governments, agencies, nongovernmental organizations and citizens, unlocking the full societal and economic potential of the wealth of marine data at local, national, regional or international levels. The RFI results also provide information and insight on the current state of the Marine SDI. In addition to the RFI, a MSDI workshop and roundtable were held to gather additional information from both expert panel members and the audience. This engineering report presents an analysis of RFI, workshop and roundtable responses and interactions which provided in depth information on requirements and issues related to stakeholders, architecture, data, standards of current and a possible future Marine SDI. In addition, this report will serve as the basis for improvement of SDIs\u2019 to support the marine domain. The responses will also be discussed with potential sponsoring organizations that would provide funding opportunities for possible Marine SDI Pilot(s) initiatives proposed for later this year, and in subsequent years. All RFI, workshop and roundtable responses will contribute to Marine SDI(s) moving forward. It will help to achieve greater interoperability, availability and usability of geospatial Web services and tools across different types of marine spatial data uses. In addition, these responses will provide identification of gaps, and definition of core components of an SDI to be referenced by IHO MSDIWG and used to define reference use-cases and scenarios for use in future pilot activities. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1551", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1551", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1551", "url": "https:\/\/hdl.handle.net\/11329\/1551" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "IHO", "e-infrastructure", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data interoperability development", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1813", "name": "New Ocean Subsurface Optical Properties From Space Lidars: CALIOP\/CALIPSO and ATLAS\/ICESat-2.", "description": " - Remote sensing from Earth-observing satellites is now providing valuable information about ocean phytoplankton distributions. This paper presents the new ocean subsurface optical properties obtained from two space-based lidars: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations satellite and the Advanced Topographic Laser Altimeter System (ATLAS) aboard the Ice, Cloud, and land Elevation Satellite-2 satellite. Obtaining reliable estimates of subsurface biomass necessitates removing instrument artifacts peculiar to each sensor, that is, polarization crosstalk artifacts in the CALIOP signals and after pulsing effects arising from the ATLAS photodetectors. We validate the optical properties derived from the corrected lidar backscatter signals using MODerate-resolution Imaging Spectroradiometer ocean color measurements and autonomous biogeochemical Argo float profiles. Our results support the continued use of present and future spaceborne lidars to study the global plankton system and characterize its vertical structures in the upper ocean. - , - Refereed - , - 14.a - , - Phytoplankton biomass and diversity - , - Ocean colour - , - LIDAR - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1813", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1813", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1813", "url": "https:\/\/hdl.handle.net\/11329\/1813" }, "author": [ { "@type": "Person", "name": "Lu, Xiaomei" }, { "@type": "Person", "name": "Hu, Yongxiang" }, { "@type": "Person", "name": "Yang, Yuekui" }, { "@type": "Person", "name": "Neumann, Thomas" }, { "@type": "Person", "name": "Omar, Ali" }, { "@type": "Person", "name": "Baize, Rosemary" }, { "@type": "Person", "name": "Vaughan, Mark" }, { "@type": "Person", "name": "Rodier, Sharon" }, { "@type": "Person", "name": "Getzewich, Brian" }, { "@type": "Person", "name": "Lucker, Patricia" }, { "@type": "Person", "name": "Trepte, Charles" }, { "@type": "Person", "name": "Hostetler, Chris" }, { "@type": "Person", "name": "Winker, David" } ], "keywords": [ "Microzooplankton", "Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/185", "name": "User guide for the exchange of measured wave data.", "description": " - Published - , - Wave data exchange, measured wave data - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/185", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/185", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/185", "url": "https:\/\/hdl.handle.net\/11329\/185" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Wave buoys", "Wave data", "Wave measurement", "Wave parameters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1928", "name": "QARTOD Project Plan Update 2022\u20132026.", "description": " - The U.S. Integrated Ocean Observing System (IOOS) Quality Assurance\/Quality Control (QA\/QC) of Real-Time Oceanographic Data (QARTOD) Project Plan was established in early 2012 and has now reached its ten-year anniversary. This report marks that ten-year point by documenting QARTOD history and successes, and then outlining opportunities for future accomplishments. The first QARTOD project plan provided guidance for how the QARTOD process would work. A subsequent update created the existing manual format, adopted a flagging standard for QARTOD manuals, and documented efforts to implement QC tests. This third iteration of the project plan is different from the other plans\/updates in that it shifts the focus from an IOOS-led effort to a community-driven development of QARTOD manuals. This update is designed to help communities whose variables of interest (any variable relevant to IOOS but particularly biogeochemical variables) are not yet ready for a traditional QARTOD QC manual but are likely to benefit from the development of a QA\/QC standardized process in the near future. This update helps provide a framework for those communities moving forward. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1928", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1928", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1928", "url": "https:\/\/hdl.handle.net\/11329\/1928" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System," } ], "keywords": [ "QARTOD", "Real-time", "IOOS", "Cross-discipline", "Data quality management", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2464", "name": "Volunteer Seabirds At Sea Survey Methods,", "description": " - This document is designed as an aide-memoir to those taking part in JNCC\u2019s Volunteer Seabirds at Sea (VSAS) survey programme but would also be useful to anyone using a distance sampling method to conduct bird or cetacean surveys. It contains advice on how to conduct a survey using the European Seabirds At Sea (ESAS) method; how to correctly code ESAS data; basic rules of data collection; and answers frequently asked questions - , - Published - , - Refereed - , - Current - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2464", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2464", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2464", "url": "https:\/\/hdl.handle.net\/11329\/2464" }, "author": [ { "@type": "Person", "name": "Lewis, M." }, { "@type": "Person", "name": "Dunn, T.E." } ], "contributor": [ { "@type": "Organization", "name": "Joint Nature Conservation Committee" } ], "keywords": [ "Birds, mammals and reptiles", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1296", "name": "Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos, N\u00famero 4\/2019.", "description": " - The \u201cColombian Oceanographic Data and Information Coordination Committee\u201d (CTN Diocean, by its initials in Spanish) presents your Reference Manual on Best Oceanic Data Practices No.4\/2019 \"data and information archeology and rescue\u201d. In the context of Global Archeology and Oceanographic Data Rescue (GODAR) project, the term \u201cdata archaeology and rescue\u201d refers to a two-part process: the first one, \u201carchaeology\u201d, is the process of seeking out, restoring, evaluating, correcting, and interpreting historical data sets; the second one, \u201crescue\u201d, is the effort to save data at risk of being lost to the science community by digitizing manuscript data, copying on electronic media and archiving these data into an internationally available electronic database (IOC, 1999). It\u2019s so, this book describes the experiences that different Colombian institutions have had in the matter, in order to have historical and recent data and information in digital format, and provide them to the community in a standardized and interoperable way for reuse. - , - Published - , - El Comit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n de Datos e Informaci\u00f3n Oce\u00e1nica (CTN Diocean) se permite presentar el cuarto n\u00famero de su \u201cManual de Referencia en Mejores Pr\u00e1cticas de Datos Oce\u00e1nicos\u201d, que aborda en esta oportunidad la \u201carqueolog\u00eda y recuperaci\u00f3n\u201d de datos e informaci\u00f3n. Esta tem\u00e1tica, en el contexto de la gesti\u00f3n de datos y m\u00e1s espec\u00edficamente de la iniciativa Global Oceanographic Data Archaeology and Rescue (GODAR), hace referencia a un proceso de dos etapas: la primera \u201carchaeology\u201d, que consiste en buscar, identificar, evaluar y describir datos hist\u00f3ricos para que sean \u00fatiles a la comunidad; y la segunda \u201crescue\u201d, se refiere al esfuerzo de almacenar y conservar los datos, mediante la digitalizaci\u00f3n, copia en medios electr\u00f3nicos, y archivo en bases de datos o repositorios digitales (Adaptado de IOC, 1999). A trav\u00e9s de esta publicaci\u00f3n las instituciones y universidades miembros del CTN Diocean, dan a conocer el esfuerzo que viene realizando Colombia en la materia de \u201carqueolog\u00eda y recuperaci\u00f3n\u201d, para aumentar los archivos hist\u00f3ricos y recientes de datos e informaci\u00f3n oce\u00e1nica en formato digital, con la finalidad de disponerlos a la comunidad de manera estandarizada e interoperable para su reutilizaci\u00f3n. - , - Current - , - 14.A - , - Sea Surface Temperature - , - Sea Surface Salinity - , - Oxygen - , - Nutrients - , - Fish abundance and distribution - , - Marine turtles, birds, mammals abundance and distribution - , - Sea surface height - , - TRL 1 Basic principles observed and reported - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1296", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1296", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1296", "url": "https:\/\/hdl.handle.net\/11329\/1296" }, "author": [ { "@type": "Person", "name": "Le\u00f3n Rojas, Dar\u00edo Fernando" }, { "@type": "Person", "name": "Ortiz Mart\u00ednez, Ruby Viviana" }, { "@type": "Person", "name": "\u00c1lvarez S\u00e1nchez, Wilder Antonio" }, { "@type": "Person", "name": "Gonz\u00e1lez Mart\u00ednez, Mart\u00edn Hernando" }, { "@type": "Person", "name": "Garc\u00eda Guerrero, John Guibsson" }, { "@type": "Person", "name": "Guti\u00e9rrez Garc\u00eda, Fredy Alberto" }, { "@type": "Person", "name": "Morales Escobar, Ana Alexandra" }, { "@type": "Person", "name": "Rozo Melo, Adriana Margarita" }, { "@type": "Person", "name": "Rangel Segura, Pedro Augusto" }, { "@type": "Person", "name": "Bland\u00f3n Grajales, Rigoberto" }, { "@type": "Person", "name": "Santaf\u00e9 Alfonso, Omar Gonzalo" }, { "@type": "Person", "name": "Garz\u00f3n Barrios, Jaime Alberto" } ], "contributor": [ { "@type": "Organization", "name": "DIMAR" } ], "keywords": [ "Data archeology\/rescue", "Parameter Discipline::Atmosphere", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Marine geology", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Fisheries and aquaculture", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::sea level recorders", "Instrument Type Vocabulary::bathythermographs", "Instrument Type Vocabulary::meteorological packages", "Instrument Type Vocabulary::salinometers", "Instrument Type Vocabulary::thermosalinographs", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1247", "name": "HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network.", "description": " - High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A big effort is made in Europe toward a coordinated development of coastal HFR technology and its products within the framework of different European and international initiatives. One recent initiative has been to make an up-to-date inventory of the existing HFR operational systems in Europe, describing the characteristics of the systems, their operational products and applications. This paper offers a comprehensive review on the present status of European HFR network, and discusses the next steps toward the integration of HFR platforms as operational components of the European Ocean Observing System, designed to align and integrate Europe's ocean observing capacity for a truly integrated end-to-end observing system for the European coasts. - , - Refereed - , - 14.A - , - Sea surface height - , - Surface currents - , - Manual (incl. handbook, guide, cookbook etc) - , - 2016-09-30 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1247", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1247", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1247", "url": "https:\/\/hdl.handle.net\/11329\/1247" }, "author": [ { "@type": "Person", "name": "Rubio, A." }, { "@type": "Person", "name": "Mader, J." }, { "@type": "Person", "name": "Corgnati, L." }, { "@type": "Person", "name": "Mantovani, C." }, { "@type": "Person", "name": "Griffa, A." }, { "@type": "Person", "name": "Novellino, A." }, { "@type": "Person", "name": "Quentin, C." }, { "@type": "Person", "name": "Wyatt, L." }, { "@type": "Person", "name": "Schulz-Stellenfleth, J." }, { "@type": "Person", "name": "Horstmann, J." }, { "@type": "Person", "name": "Lorente, P." }, { "@type": "Person", "name": "Zambianchi, E." }, { "@type": "Person", "name": "Hartnett, M." }, { "@type": "Person", "name": "Fernandes, C." }, { "@type": "Person", "name": "Zervakis, V." }, { "@type": "Person", "name": "Gorringe, P." }, { "@type": "Person", "name": "Melet, A." }, { "@type": "Person", "name": "Puillat, I." } ], "keywords": [ "High frequency radar (HFR)", "Coastal observing systems", "Radar remote sensing", "Surface currents", "Surface waves", "Model assessment", "Data assimilation", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Physical oceanography::Waves", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1402", "name": "UKEOF Guidance Note 1: ECVs - sources of information on GCOS requirements and international standards relevant to climate observing.", "description": " - The GCOS Implementation Plan provides a programme of recommendations actions over a 5 year period to assist countries in understanding, predicting, and managing their response to climate and climate change. In the GCOS implementation plan (2010 update), a set of 50 \u2018Essential Climate Variables\u2019 (ECVs) are defined. These are systematically observable variables for climate assessment, all of which are considered both technically feasible and cost-effective for systematic observation. These ECVs are needed to make significant progress in the generation of global climate products and derived information. GOSIC, the Global Observing Systems Information Centre provide overviews for each ECV that describe: \u2018main climate application\u2019, \u2018contributing networks and satellite observations\u2019, \u2018issues relevant to observation and analysis\u2019, \u2018current capability\u2019 and \u2018data.\u2019 - , - Published - , - This report prepared for UKEOF by Jacqueline Parker of Team Projects Ltd. UK - , - Current - , - 13 - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1402", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1402", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1402", "url": "https:\/\/hdl.handle.net\/11329\/1402" }, "contributor": [ { "@type": "Organization", "name": "UK Environmental Observation Framework (UKEOF)" } ], "keywords": [ "Essential climate variables (ECV)", "ECV", "International standards", "Climate change", "Climate data record", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2249", "name": "An Exact Solution For Modeling Photoacclimation of the Carbon-to-Chlorophyll Ratio in Phytoplankton.", "description": " - A widely-used theory of the photoacclimatory response in phytoplankton has, until now, been solved using a mathematical approximation that puts strong limitations on its applicability in natural conditions. We report an exact, analytic solution for the chlorophyll-to-carbon ratio as a function of the dimensionless irradiance (mixed layer irradiance normalized to the photoadaptation parameter for phytoplankton) that is applicable over the full range of irradiance occurring in natural conditions. Application of the exact solution for remote-sensing of phytoplankton carbon at large scales is illustrated using satellite-derived chlorophyll, surface irradiance data and mean photosynthesis-irradiance parameters for the season assigned to every pixel on the basis of ecological provinces. When the exact solution was compared with the approximate one at the global scale, for a particular month (May 2010), the results differed by at least 15% for about 70% of Northern Hemisphere pixels (analysis was performed during the northern hemisphere Spring bloom period) and by more than 50% for 24% of Northern Hemisphere pixels (approximate solution overestimates the carbon-to-chlorophyll ratio compared with the exact solution). Generally, the divergence between the two solutions increases with increasing available light, raising the question of the appropriate timescale for specifying the forcing irradiance in ecosystem models. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2249", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2249", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2249", "url": "https:\/\/hdl.handle.net\/11329\/2249" }, "author": [ { "@type": "Person", "name": "Jackson, Thomas" }, { "@type": "Person", "name": "Sathyendranath, Shubha" }, { "@type": "Person", "name": "Platt, Trevor" } ], "keywords": [ "Photoacclimation", "Photo-physiology", "Primary production", "Phytoplankton", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/754", "name": "Seawater intake considerations to mitigate HAB impacts.", "description": " - Seawater intakes are a key element in the design, construction and success of desalination plants. Various intake options exist and are generally classified based on their abstraction depth. Surface ocean intakes abstract seawater from the top of the water column or at depth, while subsurface1 intakes are embedded in the seabed or beach, thereby pre-filtering the abstracted seawater. Location, intake type and depth are important determinants of water quality. Intakes are also the first point of control in minimizing the ingress of algae into a plant or where algal impacts first manifest. Originally the more robust thermal desalination processes dominated the desalination market where feedwater quality was not the primary driver in determining intake type or location. Instead, feedwater supply was critical, as thermal plants were configured as cogeneration power\/desalination plants with common intakes with large volume requirements to generate both power and water. Intake and screening systems were often limited to shallow nearshore intakes with screens sized to meet the necessary seawater quality for power plant, multi-stage flash (MSF) and multi-effect distillation (MED) condenser tubes (Pankratz 2015). Macroalgal seaweed species were initially a significant issue in thermal desalination plants, completely blinding intake screens or clogging settling basins (Figure 6.1). In the mid-1970s, the availability of MSF thermal plants in Libya was dramatically reduced to 100 days\/year, with seaweed blockage of the intake pipes the third leading cause for plant outages. At the Zuara plant intake, up to 800 m3 of seaweed was removed every second day during winter when seaweed became dislodged from the seabed at the end of summer and during storms (Kreshman 1985; 2001). Due to advances in the design of intake systems, the extent of macro-algal intake blocking has been greatly reduced at thermal desalination plants and now mainly results in short term outages. Nowadays with seawater reverse osmosis (SWRO) dominating the desalination market, microscopic algal species (phytoplankton) have been more problematic. Occasionally issues have occurred at plant intakes when a high suspended solids load of phytoplankton and debris have overloaded trash racks and\/or clogged intake screens (Figure 6.2). In some cases, these impacts have been severe. The notorious 2008\/2009 bloom of Cochlodinium polykrikoides in the Gulf of Oman resulted in the frequency of cleaning seawater intake screens at Sohar increasing to every 4 hours (Sohar Case Study, Chapter 11). More often adverse impacts are observed in downstream SWRO pretreatment processes or through the promotion of (bio)fouling on membranes as microscopic algae and algal organic matter (AOM) pass through conventional open intakes and screens. The potential for phytoplankton and AOM to be entrained into SWRO plant intakes, the focus of this chapter, varies greatly. In addition to the intake system design characteristics, prevailing marine conditions, nutrient concentrations at the site, the type, motility and concentration of the algal bloom species play a role. Intake characteristics are recognized to have a significant effect on raw seawater quality and therefore the pretreatment processes required, as well as limiting marine environment impacts which can be a major concern in some projects. Consequently, more attention is given to the selection and location of intake systems in SWRO feasibility studies and during design. In areas prone to algal blooms, subsurface or open intakes abstracting seawater at depth are often considered a solution to reduce the ingress of floating or surface-concentrated algal blooms into desalination plant intakes. Subsurface intakes offer the advantage that they serve both as a water intake and as pretreatment for a SWRO plant. The seawater is filtered during passage through the strata of the subsurface intake, removing algae and natural organic matter, including components of AOM by both physical and biochemical processes, providing a high-quality feedwater, thereby potentially reducing or replacing conventional pretreatment processes (Missimer et al. 2013; Rachman et al. 2014; Dehwah et al. 2015; Dehwah and Missimer 2016). The effectiveness of these strategies for reducing the entrainment of algae and associated AOM into an intake is discussed below. It should be noted this is a little\u2013studied area in the desalination industry, especially during algal bloom events. Therefore, research on the removal of fractions of natural organic matter (NOM) such as biopolymers produced by both bacteria and algae are examined here, as results may be indicative of what can occur during an algal bloom. Finally, other factors such as engineering constraints, environmental concerns, costs, construction time, and operability may ultimately drive the selection and siting of an intake. A brief overview of approaches to determine the seawater intake for a project is therefore provided in the last part of this chapter. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/754", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/754", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/754", "url": "https:\/\/hdl.handle.net\/11329\/754" }, "author": [ { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Missimer, Thomas M." }, { "@type": "Person", "name": "Pankratz, Thomas M." }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1997", "name": "Guideline for the determination of heavy metals in sediment.", "description": " - This Technical note provides advice on the analysis of heavy metals in total marine and coastal sediments and sieved fractions, including sampling and sample handling. The analysis of heavy metals in sediments basically includes digestion and detection by Graphite Furnace Atomic Absorption (GFAAS), flame atomization, ICP-ES or ICP-MS. All steps of the procedure are susceptible to insufficient recovery and contamination. Quality control measures are recommended in order to regularly monitor the performance of the method. These guidelines are intended to encourage and assist analytical chemists to critically review their methods and to improve their procedures and quality assurance measures, if necessary. These guidelines are not intended as complete laboratory manual. If necessary, guidance should be sought from specialized laboratories. Laboratories should demonstrate validity of each methodological step. Moreover, use of an alternative method, carried out concurrently to the routine procedure, is recommended for validation. The analyses should be carried out by experienced staff. Contracting parties should follow the HELCOM monitoring guideline but minor deviations from this are acceptable if the method achieves comparable results. Validation of the adopted method needs to be performed on the relevant matrix and concentration range e.g. by taking part in intercomparison studies or proficiency testing schemes. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1997", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1997", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1997", "url": "https:\/\/hdl.handle.net\/11329\/1997" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Heavy metals", "Metal and metalloid concentrations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2038", "name": "International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets. Version v01r02-20220326.", "description": " - Under the auspices of the Earth Science Information Partners (ESIP) and with collaboration among members of the ESIP Information Quality Cluster (IQC), the Barcelona Supercomputing Center (BSC) Evaluation and Quality Control (EQC) team, and the Australia\/New Zealand Data Quality Interest Group (AU\/NZ DQIG), a community effort has been undertaken by international Earth Science domain experts. The objective of this effort is to develop global community guidelines with practical recommendations to promote the representation, sharing and reuse of quality information at the dataset level, leveraging the experiences and expertise of a team of interdisciplinary domain experts and community best practices. The community guidelines are inspired by the guiding principles of findability, accessibility, interoperability, and reusability (FAIR) and aim to help stakeholders such as science data centers, repositories, data producers and publishers, data managers and stewards, etc., i) to capture, describe, and represent quality information of their datasets in a way that is in line with the FAIR guiding principles; ii) to allow for the maximum discovery, trust, sharing, reuse and value of their datasets; and iii) to enable global access to and integration of dataset quality information. The vision of developing these guidelines is to promote the creation and use of freely and openly shared dataset quality information that is consistently described, readily available in community standardized formats, and capable of being integrated across commonly-used Earth science systems and tools for search and access with explicitly expressed usage licenses. - , - Earth Science Information Partners (ESIP) - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - International - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2038", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2038", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2038", "url": "https:\/\/hdl.handle.net\/11329\/2038" }, "author": [ { "@type": "Person", "name": "Peng, Ge" }, { "@type": "Person", "name": "Lacagnina, Carlo" }, { "@type": "Person", "name": "Iv\u00e1nov\u00e1, Ivana" }, { "@type": "Person", "name": "Downs, Robert" }, { "@type": "Person", "name": "Ramapriyan, Hampapuram" }, { "@type": "Person", "name": "Ganske, Anette" }, { "@type": "Person", "name": "Jones, Dave" }, { "@type": "Person", "name": "Bastin, Lucy" }, { "@type": "Person", "name": "Wyborn, Lesley" }, { "@type": "Person", "name": "Bastrakova, Irina" }, { "@type": "Person", "name": "Wu, Mingfang" }, { "@type": "Person", "name": "Shie, Chung-Lin" }, { "@type": "Person", "name": "Moroni, David" }, { "@type": "Person", "name": "Larnicol, Gilles" }, { "@type": "Person", "name": "Wei, Yaxing" }, { "@type": "Person", "name": "Ritchey, Nancy" }, { "@type": "Person", "name": "Champion, Sarah" }, { "@type": "Person", "name": "Hou, C. Sophie" }, { "@type": "Person", "name": "Habermann, Ted" }, { "@type": "Person", "name": "Berg-Cross, Gary" }, { "@type": "Person", "name": "Bugbee, Kaylin" }, { "@type": "Person", "name": "le Roux, Jeann\u00e9" } ], "contributor": [ { "@type": "Organization", "name": "OSF Preprints for Earth Science Information Partners (ESIP)" } ], "keywords": [ "Data and information quality", "Dataset lifecycle", "Dataset quality information", "Definitions", "ESIP", "FAIR", "Information sharing", "OGC", "Quality assessment model", "Quality dimensions", "RDA", "WHO", "Cross-discipline", "Data archival\/stewardship\/curation", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2238", "name": "Monte Carlo\u2013Based Quantification of Uncertainties in Determining Ocean Remote Sensing Reflectance from Underwater Fixed-Depth Radiometry Measurements.", "description": " - A new framework that enables evaluation of the in situ ocean color radiometry measurement uncertainty is presented. The study was conducted on the multispectral data from a permanent mooring deployed in clear open ocean water. The uncertainty is evaluated for each component of the measurement equation and data processing step that leads to deriving the remote sensing re\ufb02ectance. The Monte Carlo method was selected to handle the data complexity such as correlation and nonlinearity in an ef\ufb01cient manner. The results are presented for a prescreened dataset that is suitable for system vicarious calibration applications. The framework provides uncertainty value per measurement taking into consideration environmental conditions present during acquisition. A summary value is calculated from the statistics of the individual uncertainties per each spectral channel. This summary value is below 4% (k 5 1) for the blue and green spectral range. For the red spectral channels, the summary uncertainty value increases to approximately 5%. The presented method helps to understand the signi\ufb01cance of various uncertainty components and to provide a way of identifying major contributors. This can be used for ef\ufb01cient system performance improvement in the future. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - International - , - Advanced Orientation Systems EZ-III - , - Sea-Bird Scientific 37-SI - , - Marine Optical Buoy (MOBY) - , - Bou\u00e9e pour l\u2019Acquisition de S\u00e9ries Optiques \u00e1 Long Terme (BOUSSOLE) - , - Moderate Resolution Imaging Spectroradiometer - , - Sea-Viewing Wide Field-of-View Sensor - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2238", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2238", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2238", "url": "https:\/\/hdl.handle.net\/11329\/2238" }, "author": [ { "@type": "Person", "name": "Bia\u0142ek, Agnieszka" }, { "@type": "Person", "name": "Vellucci, Vincenzo" }, { "@type": "Person", "name": "Gentil, Bernard" }, { "@type": "Person", "name": "Antoine, David" }, { "@type": "Person", "name": "Gorro\u00f1o, Javier" }, { "@type": "Person", "name": "Fox, Nigel" }, { "@type": "Person", "name": "Underwood, Craig" } ], "keywords": [ "Monte Carlo Method", "Reflectance", "Other physical oceanographic measurements", "radiometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/402", "name": "Recommended algorithms for the computation of marine meteorological variables", "description": " - A range of variables observed under the Voluntary Observing Ship (VOS) scheme, and circulated over the Global Telecommunication System (GTS) in real-time (RT), or exchanged internationally in delayed mode (DM), may be computed shipboard or after receipt on shore. A general description of the different VOS variables and measurement methods can be found in the Guide to Instruments and Methods of Observations (WMO 2010; hereafter \u201cWMO No-8\u201d). This publication presents a summarized version of the WMO No-8 information, focusing on the instruments used by the VOS, but breaks new ground in making specific recommendations (including providing software modules and test validation cases) on the algorithms to be used to compute \u201cderived\u201d variables. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/402", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/402", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/402", "url": "https:\/\/hdl.handle.net\/11329\/402" }, "contributor": [ { "@type": "Organization", "name": "Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM)" } ], "keywords": [ "Voluntary observing ships", "Global Telecommunications System (GTS)", "Algorithms", "Humidity", "Dewpoint", "Measurement", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/549", "name": "Routine uncertainty propagation for the marine carbon dioxide system.", "description": " - Pairs of marine carbonate system variables are often used to calculate others, but those results are seldom reported with estimates of uncertainties. Although the procedure to propagate these uncertainties is well known, it has not been offered in public packages that compute marine carbonate chemistry, fundamental tools that are relied on by the community. To remedy this shortcoming, four of these packages were expanded to calculate sensitivities of computed variables with respect to each input variable and to use those sensitivities along with user-specified estimates of input uncertainties (standard uncertainties) to propagate uncertainties of calculated variables (combined standard uncertainties). Sensitivities from these packages agree with one another and with analytical solutions to within 0.01%; similar agreement among packages was found for the combined standard uncertainties. One package was used to quantify how propagated uncertainties vary among computed variables, seawater conditions, and the chosen pair of carbonate system variables that is used as input. The relative contributions to propagated uncertainties from the standard uncertainties of the input pair of measurements and various other input data (equilibrium constants etc) were explored with a new type of diagram. These error-space diagrams illustrate that further improvement beyond today's state-of-the-art measurement uncertainties for the input pair would generally be ineffective at reducing the combined standard uncertainties because the contribution from the constants is larger. Likewise, using much more uncertain measurements of the input pair does not always substantially worsen combined standard uncertainty. The constants that contribute most to combined standard uncertainties are generally K1 and K2, as expected. Yet more of the propagated uncertainty in the computed saturation states of aragonite and calcite comes from their solubility products. Thus percent relative combined standard uncertainties for the saturation states are larger than for the carbonate ion concentration. Routine propagation of these uncertainties should become standard practice. - , - Refereed - , - Inorganic carbon - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/549", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/549", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/549", "url": "https:\/\/hdl.handle.net\/11329\/549" }, "author": [ { "@type": "Person", "name": "Orr, James" }, { "@type": "Person", "name": "Epitalon, Jean-Marie" }, { "@type": "Person", "name": "Dickson, Andrew" }, { "@type": "Person", "name": "Gattuso, Jean-Pierre" } ], "keywords": [ "Carbonate chemistry", "Uncertainty propagation", "Carbon dioxide (CO2)", "pH", "Alkalinity", "Dissolved inorganic carbon", "Ocean acidification", "Parameter Discipline - Chemical oceanography - Carbonate system", "Data Management Practices::Data analysis", "Quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/578", "name": "Ocean Systems Test and Evaluation Program (OSTEP) Development Plan.", "description": " - The burden on the Nation\u2019s coastal ocean and waterways continues to grow at an accelerating rate, while insufficient resources are available to adequately monitor even the most basic parameters. Advances in technology and communications systems offer a wide variety of potential solutions, also at an accelerating rate. The challenge is to introduce these new capabilities into existing monitoring networks in a cost effective and responsible manner. A variety of coastal programs are presently in the early stages of development. Through them there here is a growing awareness of the value of existing infrastructure and the difficulty of operating permanent monitoring systems. NOS should be prepared to accept the logical demand for additional sensors. The OSTEP seeks to facilitate the transition of new technology to an operational status, selecting newly developed sensors or systems from the research and development community and bringing them to a monitoring setting. OSTEP will also provide quantifiable and defensible justifications for the use of existing sensors and methods for selecting new systems. The program will establish and maintain field reference facilities where, in cooperation with other agencies facing similar challenges, devices will be examined in a non-operational field setting. Through OSTEP, sensors will be evaluated, quality control procedures developed, and maintenance routines generated. The quality of the reference systems used in the field will be assured by both rigorous traceable calibrations and redundant sensors. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/578", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/578", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/578", "url": "https:\/\/hdl.handle.net\/11329\/578" }, "author": [ { "@type": "Person", "name": "Bushnell, M." } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/919", "name": "Installation of autonomous underway pCO2 instruments onboard ships of opportunity.", "description": " - The oceans are the largest sustained sink of anthropogenic carbon with a flux into the ocean of about 2.4 1015 grams, or 2.4 gigatons, of carbon annually, thereby partially mitigating the rapid increase of this climate-forcing gas into the atmosphere. To provide meaningful projections of future atmospheric CO2 levels and surface oceanic CO2 concentrations, we must constrain the flux of CO2 across the air-water interface. An important component of this effort is to obtain more systematic observations of CO2 in the ocean by installing autonomous systems\u2014underway pCO2 analyzers\u2014on ships of opportunity. The purpose of this technical report is to provide the necessary information required to perform such an installation. The information it contains pertains specifically to the installation of the system built by General Oceanics, Inc. in Miami, Florida. However, most of the instructions and issues discussed should apply to any type of autonomous system. - , - Published - , - Current - , - 14 - , - Inorganic carbon - , - Mature - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/919", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/919", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/919", "url": "https:\/\/hdl.handle.net\/11329\/919" }, "author": [ { "@type": "Person", "name": "Pierrot, D." }, { "@type": "Person", "name": "Steinhoff, T." } ], "contributor": [ { "@type": "Organization", "name": "NOAA Atlantic Oceanographic and Meteorological Laboratory" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2018", "name": "Draft guidelines for sampling and determination of total nitrogen.", "description": " - Total nitrogen includes all organic and inorganic forms of nitrogen, dissolved as well as suspended or particulate. The results are an estimation of the total amount of nitrogen, not only the dissolved bioavailable fraction. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic nitrogen\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/nitrogen-din. 2 Monitoring - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2018", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2018", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2018", "url": "https:\/\/hdl.handle.net\/11329\/2018" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Total Nitrogen", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1254", "name": "Marine litter within the European Marine Strategy Framework Directive.", "description": " - There have been numerous anthropogenic-driven changes to our planet in the last half-century. One of the most evident changes is the ubiquity and abundance of litter in the marine environment. The EU Marine Strategy Framework Directive (MSFD, 2008\/56\/EC) establishes a framework within which EU Member States shall take action to achieve or maintain good environmental status (GES) of their marine waters by 2020. GES is based on 11 qualitative descriptors as listed in Annex I of the MSFD. Descriptor 10 (D 10) concerns marine litter. As a follow-up to the related Commission Decision on criteria and methodological standards (2010\/477\/EU) in which 56 indicators for the achievement of GES are proposed, the EC Directorate-General for the Environment, on the request of the European Marine Directors, established a Technical Subgroup on Marine Litter (TSG ML) under the Working Group on GES. The role of TSG ML is to support Member States through providing scientific and technical background for the implementation of MSFD requirements with regard to D 10. Started in 2011, TSG ML provides technical recommendations for the implementation of the MSFD requirements for marine litter. It summarizes the available information on monitoring approaches and considers how GES and environmental targets could be defined with the aim of preventing further inputs of litter to, and reducing its total amount in, the marine environment. It also identifies research needs, priorities and strategies in support of the implementation of D 10. The work of TSG ML also focuses on the specification of monitoring methods through the development of monitoring protocols for litter in the different marine compartments, and for microplastics and litter in biota. Further consideration is being given to monitoring strategies in general and associated costs. Other priorities include the identification of sources of marine litter and a better understanding of the harm caused by marine litter. - , - Refereed - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1254", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1254", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1254", "url": "https:\/\/hdl.handle.net\/11329\/1254" }, "author": [ { "@type": "Person", "name": "Galgani, F." }, { "@type": "Person", "name": "Hanke, G." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "De Vrees, L." } ], "keywords": [ "Marine plastics", "Marine litter", "Plastics", "Marine Strategy Framework Directive", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2122", "name": "Evaluation of a crowd sourced bathymetric approach.", "description": " - Crowd-Sourced Bathymetry is the process of generating a harbor chart through collecting, enriching, processing, and aggregating depth (and other) measurements from a host of vessels, using standard navigation instruments, while engaged in routine maritime operations. This study explores the accuracy and limitations of one particular approach towards utilizing Crowd-Sourced data, comparing the results obtained from DockTech\u2019s approach to that of a classic MBES survey. As DockTech is a for-profit startup that sells their product to various stakeholders in the maritime supply chain, a balance between protection of proprietary interest and scientific collaboration is necessary. As such, while specific details in regards to both chosen methodologies and their particular evaluations cannot be discussed, a general overview will be provided and the results of DockTech\u2019s solution will be evaluated. This study is based on depth measurements collected by service vessels, active on a daily basis in Ashdod Port over the course of two months. Tug and Pilot boats use stand-alone GNSS navigation and navigation class Single Beam echo sounders for safety purposes when traversing the port and maneuvering between the wharfs. These depths, averaged over a relatively rough grid, were used to produce a chart of part of the port. Data from the service vessels did not include RTK GNSS navigation and hence ellipsoid referenced surveying techniques were not used in lieu of water level monitoring. This chart was then compared to another chart produced from a professional hydrographic survey of the port, using state of the art equipment and strict hydrographic control. The differences were then analyzed according to the latest edition of the IHO S-44 standards. Recommendations were suggested for some relatively simple measures which could enhance the accuracy achieved and the reliability of such a chart, at least for harbor maintenance purposes. - , - EU Horizon 2020; ILIAD Project - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2122", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2122", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2122", "url": "https:\/\/hdl.handle.net\/11329\/2122" }, "author": [ { "@type": "Person", "name": "Grinker, Barry" }, { "@type": "Person", "name": "Solomon, Shaul" }, { "@type": "Person", "name": "Hassin, Assif" } ], "keywords": [ "Crowd Source bathymetry", "Harbour chart", "Passsage soundings", "Service vessels", "IHO S-44 Standards", "Voluntary observing ships", "ILIAD Project", "Other physical oceanographic measurements", "Gravity, magnetics and bathymetry", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1259", "name": "H2020 Programme: Guidelines on FAIR Data Management in Horizon 2020 Version 3.0.", "description": " - This document helps Horizon 2020 beneficiaries make their research data findable, accessible, interoperable and reusable (FAIR), to ensure it is soundly managed. Good research data management is not a goal in itself, but rather the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse. Note that these guidelines do not apply to their full extent to actions funded by the ERC. For information and guidance concerning Open Access and the Open Research Data Pilot at the ERC, please read the Guidelines on the Implementation of Open Access to Scientific Publications and Research Data in projects supported by the European Research Council under Horizon 2020. - , - Published - , - Refereed - , - Current - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1259", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1259", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1259", "url": "https:\/\/hdl.handle.net\/11329\/1259" }, "contributor": [ { "@type": "Organization", "name": "European Commission, Directorate-General for Research & Innovation" } ], "keywords": [ "FAIR principles", "Data Management Practices::Data exchange", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1523", "name": "Ocean Gliders delayed mode QA\/QC best practice manual. Version 2.2. [SUPERSEDED by DOI: 10.26198\/5c997b5fdc9bd]", "description": " - This document is the IMOS Ocean Gliders' Best Practice manual for delayed mode processed data. Ocean Gliders is a facility under Australia\u2019s Integrated Marine Observing System (IMOS). This document describes the quality analyses\/quality control (QA\/QC) methods and correction procedures employed by the Ocean Gliders facility for delayed mode glider data files produced by the facility. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Salinity - , - Subsurface Salinity - , - Subsurface Temperature - , - Sea Surface Temperature - , - Particulate matter - , - Oxygen - , - Ocean colour - , - Subsurface Currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1523", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1523", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1523", "url": "https:\/\/hdl.handle.net\/11329\/1523" }, "author": [ { "@type": "Person", "name": "Woo, Mun" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Atmosphere", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::optical backscatter sensors", "Instrument Type Vocabulary::ocean colour radiometers", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1850", "name": "GlobalHAB: Evaluating, Reducing and Mitigating the Cost of Harmful Algal Blooms: A Compendium of Case Studies.", "description": " - Over the last two decades, several efforts have been addressed to compile what is known about the economic impacts of harmful algal blooms (HABs; e.g., Anderson et al., 2000; Hoagland and Scatasta 2006; Huppert and Trainer, 2014; Trainer and Yoshida, 2014; Sanseverino et al., 2016). One study estimated the annual cost of HABs in the European Union at 800 million USD (Hoagland and Scatasta, 2006) but most of that cost was extrapolated from very few HAB organisms. In China, a single Karenia mikimotoi event in 2012 caused up to 330 million USD loss to the mariculture industry, mostly cultivated abalone (Guo et al., 2014). Although past reports have attempted to gather comprehensive economic impact data (e.g., Trainer and Yoshida, 2014), both the type and amount of information were limited, highlighting the need for collaboration between HAB scientists and economists. Furthermore, most countries have neither conducted economic analyses of HABs nor collected data that can be used to generate reliable quantitative estimates of net economic losses and impacts. The lack of data, appropriate and standardized protocols, and the dearth of peer-reviewed studies hamper efforts to quantify the societal costs of regionally frequent, intense, and long-lasting HAB events and to help evaluate the cost of various strategies being developed for HAB prevention, control, and mitigation. To strategize how specific economic studies can be used to assess the economic impacts of HABs and mitigate their associated risks, a Marine Environmental Quality (MEQ) sponsored Workshop on GlobalHAB: Evaluating, Reducing and Mitigating the Cost of Harmful Algal Blooms: A Compendium of Case Studies was held on October 17\u201319, 2019, at the Annual Meeting of the North Pacific Marine Science Organization (PICES; Appendices 1 and 2). During this 2.5-day workshop, over 48 international experts on economics, insurance of aquaculture companies, and the science of HABs from Australia, Canada, China, Chile, France, Japan, Korea, Norway, Scotland, Spain, the United Arab Emirates, the UK, and the USA (see list of participants, Appendix 1) discussed a compendium of case studies that highlighted the economic ramifications of HABs on farmed salmon and shellfish, and on wild-caught, reef-based fisheries. The workshop included plenary lectures summarizing the state-of-the-art knowledge, ideas and concepts about the economic consequences of HABs worldwide on wild and recreational fisheries and aquaculture, concentrating on five areas of focus: 1. An overview of methods used to evaluate the economic impacts of HABs; 2. Cochlodinium polykrikoides bloom impacts on wild and aquaculture fish kills in Korea; 3. Ciguatera fish poisoning with direct effects on human health and wellbeing; 4. HAB impacts on fish and shellfish aquaculture in the European Union, Canada, and Chile. 5. Impacts of HABs on salmon cage aquaculture. The HAB-related losses faced by insurers are huge. At the workshop, a representative from a reinsurance company specified that 45% of insurance claims are now related to HABs. In fact, it was stated that the losses due to HABs are larger than any storm that insurers have ever faced. In the Republic of Korea, an insurer recently collapsed due to the frequent and enormous losses of aquacultured fish attributed to HABs. During the workshop, breakout groups were formed to discuss strategies for mitigation, including the value of information from better or more refined forecasts. Questions addressed included: Can contingency planning reduce loss? How can areas be opened more quickly, how can closures be shorter, and what is the value of information from better forecasts? What is the cost benefit analysis of monitoring programs? How much should be spent on monitoring? For insurance purposes, how can the cost of HABs be reduced? Several examples of HAB-related losses and mitigation costs were discussed in detail. A HAB incident in northern Norway alone resulted in the loss of 14 thousand tons of Atlantic salmon in May 2019, resulting in a total loss of at least 330 million USD, including insured losses of 45 million USD, underinsured values and deductibles of 40 million USD, losses of future salmon sales of 160 million USD, cleanup costs of 30 to 40 million USD, and loss of taxes and unemployment benefits of 50 million USD. In Brittany, France, the Laboratoire d\u2019Economie et de Management de Nantes-Atlantique (LEMNA), University of Nantes, is conducting a detailed estimation of the impacts of shellfish trade bans caused by HABs. Researchers at LEMNA are creating a database documenting these trade bans from 2004 through 2018 at shellfish harvesting areas in four French departments (Finist\u00e8re, Morbihan, Loire-Atlantique and Vend\u00e9e). These four areas encompass about 700 shellfish farms representing 37,600 metric tons of products having an estimated value of \u20ac141 million (>156 million USD), i.e., 20% of the national shellfish harvest. Ciguatera fish poisoning (CFP) deserved special attention at the workshop. This non-bacterial food poisoning, endemic in the South Pacific Islands and the Caribbean Sea, seems to be spreading due to climate change, globalization, and dwindling marine fishes. Poisoning results from the consumption of fish contaminated with Gambierdiscus-produced ciguatoxin. The main challenges to effective CFP detection are the rapid and accurate detection of the causative species and toxins in seafood. CFP has major impacts on human health which are anticipated to increase with climate change (Kidwell, 2015), with acute and chronic diseases and subsequent loss of work hours, and with changes from traditional protein sources to imported products. Appropriate strategies for intervention are urgent but difficult to Introduction Trainer et al. PICES Scientific Report No. 59 3 implement. The workshop participants discussed recent studies that are opening new possibilities to address CFP risks in island nations (Trick et al., this report). The huge HAB-related losses to industry, consumers, and governments illustrate the need for insurers, the aquaculture industry, public health professionals, economists, and HAB scientists to work together to estimate the cost of HAB events relative to the costs of mitigation and management. There are a number of factors that directly impact the economic stability of both finfish and shellfish aquaculture, of which HABs are only one. Better economic assessment is therefore required to evaluate and prioritize responses to HAB events as appropriate to business need. It is also necessary to determine whether pre-emptive measures currently taken are the most appropriate course of action or whether investment in alternative warning or mitigation approaches is more cost effective. The \u201chalo effects\u201d of HAB impacts are also poorly quantified, including consumer confidence in seafood during and after HAB events. Finally, HAB impacts on aquaculture can be intermittent. While fish and shellfish kills can be massive, they may be years apart, so multi-year economic assessments are needed to better quantify changes in losses and impacts. The future changes on HAB frequency and intensity (Wells et al., 2020, including extreme HAB events (Trainer et al., 2020) cannot be ignored. Studies of economic and social losses and their impacts need to be planned and teams need to be formed prior to HAB events to ensure that they are comprehensively studied. Toward this goal, the workshop further helped to establish greater connections between economists, industry scientists, and HAB researchers. In this report we provide a series of case studies to help guide future research and management priorities. - , - Published - , - Current - , - 14.2 - , - N\/A - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1850", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1850", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1850", "url": "https:\/\/hdl.handle.net\/11329\/1850" }, "contributor": [ { "@type": "Organization", "name": "North Pacific Marine Science Organization" } ], "keywords": [ "HAB", "Harmful algal blooms", "Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2080", "name": "AusSeabed Community Guidelines: Satellite Derived Bathymetry. [ENDORSED PRACTICE]", "description": " - The Satellite Derived Bathymetry (SDB) guidelines are intended to provide users of SDB sourced from the AusSeabed portal with the required knowledge to appropriately use SDB datasets. This is not a guide on how to produce SDB, rather a summary of the reliability and risks involved when using SDB for individual use cases. The Hydrographic Standards Working Group (HSWG) of the International Hydrographic Organisation (IHO) is currently (2022) developing a set of best practice SDB Guidelines. This guideline should be referend to in conjunction with these guidelines once available. - , - Published - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - National - , - International - , - Bathymetry - , - multispectral satellite sensor - , - hyperspectral satellite sensor - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2080", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2080", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2080", "url": "https:\/\/hdl.handle.net\/11329\/2080" }, "author": [ { "@type": "Person", "name": "Ellis, Matthew" }, { "@type": "Person", "name": "Formanek, Rebecca" }, { "@type": "Person", "name": "Townsend, Nigel" } ], "contributor": [ { "@type": "Organization", "name": "AusSeabed" } ], "keywords": [ "Marine geology", "Cross-discipline", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1311", "name": "The use of potassium hydroxide (KOH) solution as a suitable approach to isolate plastics ingested by marine organisms.", "description": " - In studies of plastic ingestion by marine wildlife, visual separation of plastic particles from gastrointestinal tracts or their dietary content can be challenging. Earlier studies have used solutions to dissolve organic materials leaving synthetic particles unaffected. However, insufficient tests have been conducted to ensure that different categories of consumer products partly degraded in the environment and\/or in gastrointestinal tracts were not affected. In this study 63 synthetic materials and 11 other dietary items and non-plastic marine debris were tested. Irrespective of shape or preceding environmental history, most polymers resisted potassium hydroxide (KOH) solution, with the exceptions of cellulose acetate from cigarette filters, some biodegradable plastics and a single polyethylene sheet. Exposure of hard diet components and other marine debris showed variable results. In conclusion, the results confirm that usage of KOH solutions can be a useful approach in general quantitative studies of plastic ingestion by marine wildlife. - , - Refereed - , - 14.1 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1311", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1311", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1311", "url": "https:\/\/hdl.handle.net\/11329\/1311" }, "author": [ { "@type": "Person", "name": "K\u00fchn, Susanne" }, { "@type": "Person", "name": "van Werven, Bernike" }, { "@type": "Person", "name": "van Oyenc, Albert" }, { "@type": "Person", "name": "Meijboom, Andr\u00e9" }, { "@type": "Person", "name": "Bravo Rebolledo, Elisa L." }, { "@type": "Person", "name": "van Franeker, Jan A." } ], "keywords": [ "Marine debris", "Microplastics", "Plastic litter", "Plastic debris", "Extraction method", "Potassium hydroxide (KOH)", "Parameter Discipline::Environment::Anthropogenic contamination", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1666", "name": "Hytech Salinometer.", "description": " - Prior to CalCOFI's use of Guildline's Autosal and Portasal, different instrumentation or techniques were used to measure seawater sample salinities. When I first participated in cruises in the mid-1980's, salinities were collected in 250ml sample bottles with wire bail ceramic stoppers with rubber washer. These samples were run on a Plessey (Hytech) Laboratory Salinometer. I went online to find out more about this particular instrument for our instrumentation timeline and was surprised at how little I found. Fortunately, I have a photocopy of the original Hytech manual so I scanned it to PDF. (JRW 06\/2019) - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Salinometer Plessey - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1666", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1666", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1666", "url": "https:\/\/hdl.handle.net\/11329\/1666" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Water column temperature and salinity", "salinometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1587", "name": "Method name: Internal tagging of cod with DSTs and double tagging with a DST and a conventional tag.", "description": " - Some objectives of experiments where this tagging method has been used: Research of the behaviour of sexually mature cod in Icelandic waters; Study of Behaviour that influences catchability such as Availability and Accessibility (Harden Jones 1974) . Migration, Vertical movements, Geographic distribution, Habitat preference, Exploitation, Mortality, Growth (P\u00e1lsson & Thorsteinsson 2003) , Spawning behaviour (Thorsteinsson & Marteinsd\u00f3ttir 1998) Double tagging with a DST and conventional tag CT to observe tag retention and differential returns of tags. - , - Published - , - Current - , - 14.4 - , - N\/A - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1587", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1587", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1587", "url": "https:\/\/hdl.handle.net\/11329\/1587" }, "author": [ { "@type": "Person", "name": "Thorsteinsson, Vilhj\u00e1lmur" } ], "contributor": [ { "@type": "Organization", "name": "Marine Research Institute" } ], "keywords": [ "Cod", "Gadus morhua", "Double tagging", "Data storage tags", "DST", "T-bar tags", "Surgical implantation", "Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1814", "name": "OSPAR inventory of measures to mitigate the emission and environmental impact of underwater noise (2016 update).", "description": " - The 2009 JAMP Assessment on the environmental impact of underwater noise recommended amongst others that OSPAR Contracting Parties in a next step should develop guidance on measures to mitigate noise emissions and the environmental impacts of underwater noise on the marine environment (OSPAR 2009a). The Quality Status Report 2010 recommended that OSPAR should increase efforts to develop, review and apply mitigation measures to reduce the impacts of underwater noise and develop Guidelines on best environmental practices (BEP) and best available techniques (BAT) for mitigating noise emissions and their environmental impacts (OSPAR 2010). The purpose of this inventory is to provide OSPAR Contracting Parties an overview of effectiveness and feasibility of mitigation options to avoid or reduce emissions and impacts of underwater noise, and to support OSPAR EU Member States in establishing programmes of measures in relation to underwater noise under the MSFD by 2015. The inventory is designed to help avoid and reduce the introduction of underwater noise and\/or its impacts on the marine environment through a common understanding of best mitigation options and by aiding Contracting Parties in their choice of options in the management of underwater noise sources and ultimately by the application of best available techniques (BAT) and best environmental practice (BEP), as defined in Appendix 1 to the OSPAR Convention, for activities generating impulsive and\/or continous noise underwater noise. Developing and employing adequate mitigation measures would help OSPAR Contracting Parties and any other interested party in their efforts to reduce potentially negative effects of anthropogenic underwater noise on the marine environment and to reach Good Environmental Status (GES) according to the Marine Strategy Framework Directive (MSFD) in terms of underwater noise pollution for their national marine waters (Art. 9). - , - OSPAR Commission - , - Published - , - Refereed - , - Current - , - 14.1 - , - N\/A - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1814", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1814", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1814", "url": "https:\/\/hdl.handle.net\/11329\/1814" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Underwater noise", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/76", "name": "Guide to operational procedures for the collection and exchange of JCOMM oceanographic data, Third Revised Edition, 1999. [OBSOLETE]", "description": " - This document is intended as a general guide to the operational procedures for the collection, encoding, quality control and exchange of oceanic surface and sub-surface temperature, salinity and current (BATHY, TESAC and TRACKOB) data. It is anticipated that individual nations will issue specific guidelines within the framework of this document. In all cases, it should be recalled that the overall objectives of JCOMM include the timely collection and exchange of oceanographic data and products. - , - http:\/\/ioc-unesco.org\/index.php?option=com_oe&task=viewDocumentRecord&docID=733 - , - OBSOLETE - . IODE & JCOMM to address documenting new procedures - , - Operational Data Dissemination, data collection, Observational Strategy, Quality Control Procedures, data routing, Platform to Shore Transmission, Monitoring, National Monitoring, Monthly Exchange, Periodic GTS Monitoring, oceanographc data; data exchange; guides - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/76", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/76", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/76", "url": "https:\/\/hdl.handle.net\/11329\/76" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/816", "name": "Performance Verification Statement for the WET Labs ECO FLNTUSB fluorometer.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the WET Labs ECO FLNTUSB fluorometer evaluated in the laboratory and under diverse field conditions to in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www. wetlabs.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/816", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/816", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/816", "url": "https:\/\/hdl.handle.net\/11329\/816" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1673", "name": "Primary Productivity Methods.", "description": " - Primary production is estimated from 14C uptake using a simulated in situ technique in which the assimilation of dissolved inorganic carbon by phytoplankton yields a measure of the rate of photosynthetic primary production in the euphotic zone. - , - Published - , - Current - , - 14.a - , - Inorganic carbon - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1673", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1673", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1673", "url": "https:\/\/hdl.handle.net\/11329\/1673" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Primary production" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/287", "name": "Ocean Data Standards Volume 1. Recommendation to Adopt ISO 3166-1 and 3166-3 Country Codes as the standard for Identifying countries in oceanographic data exchange. Version 1.1", "description": " - The use of a country code in the exchange of data has long been recognized as an important element for the management and exchange of oceanographic data. The seventh session of the Intergovernmental Oceanographic Commission Working Group on International Oceanographic Data Exchange (1973) recommended the adoption of country codes for the purpose international data exchange. The IOC Country Codes have been maintained,since 1983, by the International Council for the Exploration of the Sea (ICES) as part of its responsibility as RNODC Formats. Although the system of RNODCs was abolished in 2005, ICES continued to maintain the codes. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/287", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/287", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/287", "url": "https:\/\/hdl.handle.net\/11329\/287" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Geographical areas", "ISO Country codes", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Physical oceanography", "Data Management Practices::Controlled vocabulary development", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/848", "name": "WWF\/CCU Submission to the Arctic Shipping Best Practices Informatiom Forum.", "description": " - The Arctic is experiencing profound environmental changes, including a rapid decline in sea ice extent, thickness, and duration. Coupled with development pressures and other human uses, these changes have facilitated the increase of vessel traffic in Arctic waters, a trend that is expected to continue. Vessel traffic in remote and challenging Arctic waters poses substantial safety and environmental risks, including possible impacts on cultural practices and the food security of Arctic indigenous peoples. Key threats vessel traffic poses to Arctic people and the environment include the adverse impacts of underwater noise, oil spills, pollution and discharges, introduction of invasive species, air emissions, and disturbance of ice habitat. Maintaining the ecological integrity of this region while ensuring essential goods and development reach people in the north can be accomplished with the implementation of realistic regulations and best practices. WWF and CCU, as observers to the Arctic Council, and in consultation with other stakeholders, are pleased to provide our initial views to contribute to the discussion of how to promote and ensure safe and responsible shipping in the Arctic and Antarctic. An overview, examples of regulation or best practices, recommendations, and resources are outlined for the following issues, in no particular order: \u2022 Polar Code: Reducing disturbance on marine mammals \u2022 Discharge of Sewage and Grey Water \u2022 Underwater Noise \u2022 Vessel Traffic and Monitoring \u2022 Routing Measures and Low Impact Corridors \u2022 Use of Heavy Fuel Oil \u2022 Air Emissions \u2022 Invasive Species \u2022 Ice Operations and the Protection of Ice Habitat - , - Published - , - Refereed - , - Current - , - 14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/848", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/848", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/848", "url": "https:\/\/hdl.handle.net\/11329\/848" }, "contributor": [ { "@type": "Organization", "name": "WWF" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1671", "name": "NCOG Sampling Method.", "description": " - NCOG Sampling For DNA and RNA Samples for NCOG Project - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1671", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1671", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1671", "url": "https:\/\/hdl.handle.net\/11329\/1671" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "RNA", "DNA", "Other biological measurements", "elemental analysers", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2245", "name": "Wind Speed Measured from Underwater Gliders Using Passive Acoustics.", "description": " - Wind speed measurements are needed to understand ocean\u2013atmosphere coupling processes and their effects on climate. Satellite observations provide suf\ufb01cient spatial and temporal coverage but are lacking adequate calibration, while ship- and mooring-based observations are spatially limited and have technical shortcomings. However, wind-generated underwater noise can be used to measure wind speed, a method known as Weather Observations Through Ambient Noise (WOTAN). Here, we adapt the WOTAN technique for application to ocean gliders, enabling calibrated wind speed measurements to be combined with contemporaneous oceanographic pro\ufb01les over extended spatial and temporal scales. We demonstrate the methodology in three glider surveys in the Mediterranean Sea during winter 2012\/13. Wind speeds ranged from 2 to 21.5 m s21, and the relationship to underwater ambient noise measured from the glider was quanti\ufb01ed. A two-regime linear model is proposed, which validates a previous linear model for light winds (below 12 m s21) and identi\ufb01es a regime change in the noise generation mechanism at higher wind speeds. This proposed model improves on previous work by extending the validated model range to strong winds of up to 21.5 m s21. The acquisition, data processing, and calibration steps are described. Future applications for glider-based wind speed observations and the development of a global wind speed estimation model are discussed. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Passive acoustic monitoring (PAM) - , - Acousonde B003A-HF datalogger - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2245", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2245", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2245", "url": "https:\/\/hdl.handle.net\/11329\/2245" }, "author": [ { "@type": "Person", "name": "Cauchy, Pierre" }, { "@type": "Person", "name": "Heywood, Karen J." }, { "@type": "Person", "name": "Merchant, Nathan D." }, { "@type": "Person", "name": "Queste, Bastien Y." }, { "@type": "Person", "name": "Testor, Pierre" } ], "keywords": [ "Sea surface wind speed", "WOTAN", "Underwater gliders", "Underwater noise", "Wind generated underwater noise", "Meteorology", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1471", "name": "Development of a best practice framework for the management of fishing gear. Part 1: Overview and current status.", "description": " - Development of a best practice framework for the management of fishing gear - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1471", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1471", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1471", "url": "https:\/\/hdl.handle.net\/11329\/1471" }, "author": [ { "@type": "Person", "name": "Huntington, Tim" } ], "contributor": [ { "@type": "Organization", "name": "Global Ghost Gear Initiative (GGGI) for World Animal Protection" } ], "keywords": [ "Fishing gear", "Ghost gear", "Abandoned fishing gear", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1628", "name": "The Nagoya Protocol and Its Implications on the EU Atlantic Area Countries.", "description": " - The Nagoya Protocol on Access to Genetic Resources and Fair and Equitable Sharing of Benefits Arising from their Utilization came into force in October 2014. In the European Union (EU), new legislation had to be developed in order to apply the mandatory elements of the Protocol, namely, the Regulation (EU) N\u00ba 511\/2014 (ABS Regulation) and the Implementing Regulation (EU) 2015\/1866, laying down detailed rules for the implementation of Regulation ABS with regard to the register of collection, monitor user compliance, and best practices. As a consequence, EU countries had to develop their own legislation in order to implement the Nagoya Protocol (NP), as well as the EU regulations. One important fact that distinguishes the national legislation of the EU countries is that some countries choose to control access to genetic resources (GR), while others do not apply access measures. The Atlantic Area countries in the EU share an attractive coastline with regard to the potential of their GR. In addition, the microalgae industry has been identified as a business sector with high potential. Therefore, it is important for GR users to be informed about the existing regulations and the national di erences that may occur within EU countries. In this article, the origins and main content of the Nagoya Protocol are described, together with their implications at the EU level and particularly in the countries of the Atlantic Area region. As a result, a decision framework is proposed in order to support the GR users among this region. - , - Interreg - , - 14.a - , - N\/A - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1628", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1628", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1628", "url": "https:\/\/hdl.handle.net\/11329\/1628" }, "author": [ { "@type": "Person", "name": "Martins, Joana" }, { "@type": "Person", "name": "Cruz, Diogo" }, { "@type": "Person", "name": "Vasconcelos, Vitor" } ], "keywords": [ "Biodiversity data", "Genetic resources", "Regulation", "Interreg Atlantic Area", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1947", "name": "Meaningful Engagement of Indigenous Peoples and Local Communities in Marine Activities: A Reference Guide.", "description": " - This Reference Guide is meant to familiarize proponents of actions or activities in the Arctic and Indigenous Peoples and local communities with good practices for meaningful engagement. It is based on the Meaningful Engagement of Indigenous Peoples and Local Communities in Marine Activities (MEMA) Part II Report by the Protection of Arctic Marine Environment (PAME) Working Group. The Reference Guide connects to the findings of the MEMA Part II Report and to the MEMA Database containing over 700 documents related to engagement practices around the Arctic which can be used to further inform proponents and Indigenous Peoples and local communities of good practices and key lessons for meaningful engagement. The term \u201cmeaningful engagement\u201d has no single definition. Nor does it have a one-size-fits all approach for all activities. Meaningful engagement is understood to include a range of practices by government, industry and other proponents making decisions or seeking to operate in the Arctic. Keeping in mind the adage of \u201cwritten for everyone is written for no one,\u201d there are, however, some good practices and key lessons that are applicable to all who enter into any Indigenous lands or local communities and whose entry could affect Indigenous Peoples. - , - Published - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1947", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1947", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1947", "url": "https:\/\/hdl.handle.net\/11329\/1947" }, "contributor": [ { "@type": "Organization", "name": "Protection of the Arctic Marine Environment (PAME)" } ], "keywords": [ "Indigenous knowledge", "Indigenous people", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2626", "name": "Report on the integration with Data Aggregators: MINKE Deliverable 3.5. Version 1.1.", "description": " - This document is MINKE\u2019s Deliverable 3.5 \"Report on the Integration with Data Aggregators.\" It describes a publication workflow designed to integrate metrologically-aware datasets into trusted repositories and European data infrastructures such as Zenodo, EMSO ERIC, EMODnet Physics, and EOSC. The report introduces the SensorML Uncertainty Analysis toolbox developed in MINKE, which includes a GUI editor and command-line tools to create and process SensorML metadata enriched with calibration and uncertainty data. It also presents a full data publication and integration strategy, covering metadata encoding, FAIR publication principles, and examples of successful deployments such as OBSEA CTD data. The document supports harmonization and traceability in marine observations through machine-actionable standards and interoperability tools. - , - MINKE Project, funded by the European Commission within the Horizon 2020 Programme (2014\u20132020), GA 101008724 - , - Published - , - Current - , - Pilot or Demonstrated - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2626", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2626", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2626", "url": "https:\/\/hdl.handle.net\/11329\/2626" }, "author": [ { "@type": "Person", "name": "Martinez, Enoc" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Oliv\u00e9, Joaquin" }, { "@type": "Person", "name": "Autermann, Christian" }, { "@type": "Person", "name": "Jirka, Simon" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/75", "name": "Guide to Data Collection and Location Services using Service Argos. Revision 1.", "description": " - Argos: data collection, data processing, quality control; guides - , - The Argos system locates fixed and mobile platforms and collects environmental data from them. The system was developed under a co-operative programme between the French Space Agency (CNES, France), the National Aeronautics and Space Administration (NASA, USA) and the National Oceanic and Atmospheric Administration (NOAA, USA). The purpose is to provide an operational service for the entire duration of the Polar-orbiting Operational Environmental Satellites (POES) NOAA programme (TIROS-N series), that is, beyond year 2000. As many WMO and IOC Member countries developed data buoy and other observational programmes using the Argos system, information had to be widely available. The 1995 guide recognizes that a number of technical and procedural changes which have taken place since 1988. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/dbcp\/Dbcp3\/DBCP-3-Argos-guide.pdf - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/75", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/75", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/75", "url": "https:\/\/hdl.handle.net\/11329\/75" }, "author": [ { "@type": "Person", "name": "Data Buoy Cooperation Panel" } ], "contributor": [ { "@type": "Organization", "name": "WMO and IOC" } ], "keywords": [ "Argos" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2131", "name": "AtlantOS D7.1: Data Harmonization Report: Report containing recommendation on data harmonization.", "description": " - AtlantOS WP7 is dedicated to improve harmonization of data management procedures, and thereby improve the quality, interoperability and discoverability of data resources in AtlantOS. To improve harmonization, AtlantOS WP7 works on multiple levels; a) WP7 has identified selected areas, where significant improvements of interoperability can be obtained. This has resulted in the formulation of a common agreement stating a set of specific minimum standards, which shall ensure cross platform coherence. This includes minimum standards for use of identifiers for platforms and institutions, metadata including vocabularies, quality control and dissemination means. Furthermore, guidelines regarding DOI assignment, catalogue techniques and vocabulary use in AtlantOS have been formulated. b) AtlantOS has formulated and installed a Data Management Plan (DMP) setting the framework for handling and dissemination of AtlantOS data. This was the first step towards improved harmonization and includes an overview of the Data Landscape, prioritization of Essential Variables for AtlantOS, regulations regarding open access to data and recommendations on use of standards. c) AtlantOS WP7 is initiating investigations of the use of GEOSS services, both for technical broker solutions to improve harmonization as well as for dissemination of AtlantOS data resources in an interdisciplinary global context. d) AtlantOS is also working on improving the transcontinental data sharing. A workshop is planned for in 2017 specifically targeting improvement of transcontinental sharing of data from the Atlantic Ocean. We here present the preliminary incentives for improving the transatlantic collaboration. - , - EU; European Union\u2019s Horizon 2020 research and innovation programme under grant agreement no 633211. - , - Published - , - Current - , - 14.a - , - Mature - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2131", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2131", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2131", "url": "https:\/\/hdl.handle.net\/11329\/2131" }, "author": [ { "@type": "Person", "name": "Koop-Jakobsen, K." }, { "@type": "Person", "name": "Waldmann, C." }, { "@type": "Person", "name": "Huber, V." }, { "@type": "Person", "name": "Harscoat, V." }, { "@type": "Person", "name": "Pouliquen, S." } ], "contributor": [ { "@type": "Organization", "name": "University of Bremen" } ], "keywords": [ "Harmonization", "Data management planning and strategy development", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1241", "name": "Functional assessment of microbiota in various environments using MAPLE. Version 1.", "description": " - MAPLE is an automatic system that can perform a series of steps used in the evaluation of potential comprehensive functions (i.e., functionomes) harbored by genomes and metagenomes. From April (2016) through March (2017), MAPLE was accessed 2.5 million times. However, beginners still have difficulty in processing such massive raw datasets produced by NGS prior to data submission to MAPLE and in interpreting MAPLE results, which contain many rows of numerical values. Thus, we now provide a complete system to support every step from initial data processing to final visualization of the MAPLE results. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1241", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1241", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1241", "url": "https:\/\/hdl.handle.net\/11329\/1241" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology (JAMSTEC)" } ], "keywords": [ "Genomes", "Metagenomes", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/378", "name": "Notes on CTD\/O2 Data Acquisition and Processing Using Sea-Bird Hardware and Software (as available).", "description": " - The predecessors of today\u2019s CTD (conductivity-temperature-depth) instruments were introduced in the 1940s, with modern accurate instruments developed in the 1970s (Emery and Thomson, 1998). Accuracy standards for these instruments remain at the WOCE targets: 0.002\u00b0C (ITS-90) for temperature, 0.002 g kg-1 (TEOS-10) for salinity, and 3 dbar for pressure. Here we discuss some aspects of acquisition, processing, and calibration of Sea-Bird Electronics Inc. (hereafter SBE) 9plus CTD data. Oceanic measurement and calibration techniques are subject to improvement. This outline should be viewed only as a supplement to the existing literature, manufacturer documentation, and manufacturer instructions. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/378", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/378", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/378", "url": "https:\/\/hdl.handle.net\/11329\/378" }, "author": [ { "@type": "Person", "name": "McTaggart, K.E" }, { "@type": "Person", "name": "Johnson, G.C" }, { "@type": "Person", "name": "Johnson, M.C" }, { "@type": "Person", "name": "Delahoyde, F.M" }, { "@type": "Person", "name": "Swift, J.H" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1773", "name": "An international intercomparison of stable carbon isotope composition measurements of dissolved inorganic carbon in seawater.", "description": " - We report results of an intercomparison of stable carbon isotope ratio measurements in seawater dissolved inorganic carbon (\u03b413C-DIC) which involved 16 participating laboratories from various parts of the world. The intercomparison involved distribution of samples of a Certified Reference Material for seawater DIC concentration and alkalinity and a preserved sample of deep seawater collected at 4000 m in the northeastern Atlantic Ocean. The between-lab standard deviation of reported uncorrected values measured with diverse analytical, detection, and calibration methods was 0.11\u2030(1\u03c3). The multi-lab average \u03b413C-DIC value reported for the deep seawater sample was consistent within 0.1\u2030 with historical measured values for the same water mass. Application of a correction procedure based on a consensus value for the distributed reference material, improved the between-lab standard deviation to 0.06\u2030. Themagnitude of the corrections were similar to those used to correct independent data sets using crossover comparisons, where deep water analyses from different cruises are compared at nearby locations. Our results demonstrate that the accuracy\/ uncertainty target proposed by the Global Ocean Observing System ( 0.05\u2030) is attainable, but only if an aqueous phase reference material for \u03b413C-DIC is made available and used by the measurement community. Our results imply that existing Certified Reference Materials used for seawater DIC and alkalinity quality control are suitable for this purpose, if a \u201cCertified\u201d or internally consistent \u201cconsensus\u201d value for \u03b413C-DIC can be assigned to various batches. - , - Refereed - , - 14.a - , - N\/A - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1773", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1773", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1773", "url": "https:\/\/hdl.handle.net\/11329\/1773" }, "author": [ { "@type": "Person", "name": "Cheng, L." }, { "@type": "Person", "name": "Normandeau, C." }, { "@type": "Person", "name": "Bowden, R." }, { "@type": "Person", "name": "Doucett, R." }, { "@type": "Person", "name": "Gallagher, B." }, { "@type": "Person", "name": "Gillikin, P." }, { "@type": "Person", "name": "Kumamoto, Y." }, { "@type": "Person", "name": "McKay, J. L." }, { "@type": "Person", "name": "Middlestead, P." }, { "@type": "Person", "name": "Ninnemann, U." }, { "@type": "Person", "name": "Nothaft, D." }, { "@type": "Person", "name": "Dubinina, E. O." }, { "@type": "Person", "name": "Quay, P." }, { "@type": "Person", "name": "Reverdin, G." }, { "@type": "Person", "name": "Shirai, K." }, { "@type": "Person", "name": "M\u00f8rkved, P. T." }, { "@type": "Person", "name": "Theiling, B. P." }, { "@type": "Person", "name": "van Geldern, R." }, { "@type": "Person", "name": "Wallace, D. W. R." } ], "keywords": [ "Stable carbon isotopes", "Dissolved inorganic carbon", "Carbon, nitrogen and phosphorus", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1785", "name": "Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales.", "description": " - Defining the appropriate scale over which to conduct a study in the marine environment is critical to achieving appropriate scientific, management, mitigation and conservation objectives. This paper focuses on applications of passive acoustic technologies over a range of spatial and temporal scales. It is divided into sections dealing with archival and real-time passive acoustic sensor applications. Each section assesses the principles behind using the respective technology and provides recent examples of research and management applications for marine mammals and fish. The section on archival sensors highlights the need for continued development of automated acoustic detectors to assess large data sets. Case studies are presented of detectors developed for determining seasonal occurrence and distribution of haddock sounds and humpback whale vocalizations. Also presented are studies of other applications using archival sensors: tracking singing humpback whales in Brazil, using vocalizations to assess the reproductive strategies of Arctic bearded seals and assessing regional variability in call patterns for North Atlantic right whales. The section on real-time passive acoustic sensors focuses on real-time buoys and towed arrays. Case studies presented include a real-time buoy system used for monitoring endangered North Atlantic right whales and a stationary autonomous array providing real-time access to Antarctic acoustic data. The value of using towed arrays for real-time applications is also assessed, and a case study is provided on the use of towed arrays to improve abundance estimates of North Pacific cetaceans and to better understand vocalization behaviors. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Ocean sound - , - International - , - Species Populations - , - Species Traits - , - Community composition - , - Ecosystem Structure - , - Marine Habitats - , - Passive Acoustic Recorders - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1785", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1785", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1785", "url": "https:\/\/hdl.handle.net\/11329\/1785" }, "author": [ { "@type": "Person", "name": "Van Parijs, Sofie" }, { "@type": "Person", "name": "Clark, Chris W" }, { "@type": "Person", "name": "Sousa Lima, Renata" }, { "@type": "Person", "name": "Parks, Susan" }, { "@type": "Person", "name": "Rankin, Shannon" }, { "@type": "Person", "name": "Risch, Denise" }, { "@type": "Person", "name": "Van Opzeeland, Ilse" } ], "keywords": [ "Passive acoustics", "Archival arrays", "Real-time buoys", "Towed arrays", "Marine mammals", "Automated detection", "Fish", "BioICE", "IOOC\/BIO-ICE", "Acoustics", "Passive acoustic recording systems", "Data acquisition", "Data analysis", "Data delivery", "Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2635", "name": "Evaluation of Atmospheric Correction Algorithms over Turbid Waters", "description": " - Remote sensing of coastal waters is a difficult task. One very important reason to monitor the colour of the ocean in coastal waters is the presence of suspended particulate matter and coloured dissolved organic matter. However, the presence of those optically-complex materi- als make the processing of ocean colour images challenging. The historic hypothesis on the black pixel, i.e., the ocean being totally absorbent in the near infra-red, is no longer valid. It is, thus, necessary to consider the bright pixel hypothesis in the near infra-red. Numerous methods have been developed over the past two decades that address turbid waters. Round- robin evaluation of all published algorithms is a very hard task and very time-consuming, but is important for the community. In this report, we evaluated ten atmospheric correc- tion algorithms using in-situ measurements and a simulated dataset applied to data from the MODIS-Aqua sensor. We ranked the performances of the atmospheric correction algorithms depending on optical water types from clear to moderately turbid waters. The atmospheric correction algorithms OC-SMART (Ocean Color - Simultaneous Marine and Aerosol Retrieval Tool), NASA\u2019s standard atmospheric correction algorithm, and the Near and Shortwave Infra- red atmospheric correction algorithm of Wang & Shi (2007, NIRSWIR) appeared to provide the overall best performance when applied to all optical water types over the datasets included in this study. For a specific optical water type, however, the algorithm with the best performance varied. Additional evaluations are required for application to Sentinel-3 OLCI and PACE OCI sensors, including algorithms that utilize specific bands from these sensors, as well as a more diverse array of optical water types, including highly turbid waters. - , - Published - , - Contributors: Sean Bailey; Sundarabalan V. Balasubramanian; Xianqiang He S; C\u00e9dric Jamet ; Thomas Schroederl; Palanasimy Shanmugam; Knut Stamnes Stevens; Sindy Sterckx - , - Refereed - , - Current - , - Cross-disciplinary (including human impact)::Ocean colour - , - Mature - , - Best Practice - , - International - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2635", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2635", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2635", "url": "https:\/\/hdl.handle.net\/11329\/2635" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Turbid water", "Atmosphere", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1068", "name": "OGC\u00ae WaterML2.0: Part 2 - Ratings, Gaugings and Sections, Version 1.0.", "description": " - This standard defines an information model and XML encoding for exchanging the following three hydrological information resources: Conversion tables, or conversion curves, that are used for the conversion of related hydrological phenomenon. Gauging observations\u2013 the observations performed to develop conversion table relationships. Cross sections - survey observations made of the geometric structure of features, such as river channels, storages etc. Metadata and vocabularies are defined that together provide a means for parties to exchange these concepts using common semantics. This standard is the second part of the WaterML2.0 suite of standards, building on part 1 that addresses the exchange of time series. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1068", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1068", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1068", "url": "https:\/\/hdl.handle.net\/11329\/1068" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1770", "name": "Northern Communities Strategic Document Synthesis Narrative.", "description": " - The Northern Communities Strategic Document Synthesis (Communities Synthesis) is a synthesis of research priorities and needs identified in public facing, community generated strategic documents. Documents include strategic plans, action and implementation plans, priority documents, workshop reports, resolutions, and comment letters. The purpose of the Communities Synthesis is to summarize Arctic research priorities and identify cross- cutting themes across Arctic regions1. The Communities Synthesis is complemented by three additional syntheses that highlight Arctic research priorities at the state, federal, and international level. Individually, these syntheses provide insight into research priorities in each sector, combined, they seek to highlight themes that exist across all four sectors. - , - National Science Foundation, under Cooperative Agreement PLR-1928794 - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1770", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1770", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1770", "url": "https:\/\/hdl.handle.net\/11329\/1770" }, "author": [ { "@type": "Person", "name": "Stalla, Sorina" } ], "contributor": [ { "@type": "Organization", "name": "IARPC Collaborations" } ], "keywords": [ "Arctic Research Plan", "Interagency Arctic Research Policy Committee", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1981", "name": "Good practices and common trends of national research infrastructure roadmapping procedures and evaluation mechanisms (InRoad deliverable D3.3).", "description": " - The InRoad Deliverable 3.3 describes and analyses national research infrastructure roadmapping procedures, as well as evaluations and monitoring processes in Europe. For this purpose, four case studies (Finland, Netherlands, Czech Republic and Sweden) of national roadmapping processes were conducted, from which good practices and key results were derived. Furthermore, a desk study was carried out to compare national procedures for the evaluation and monitoring of RIs and to identify additional good practices. On the basis of a cross-country analysis, the results of the consultation and survey (compendium) conducted in 2017 on national roadmapping processes were also evaluated and compared. The results of the different data sources as well as the good practices were the basis for the policy insights on coordination between national and European RI roadmapping processes and embedding RI roadmapping processes in national research and innovation systems formulated in the InRoad final report. In general the results showed a great diversity and heterogeneity in the respective national roadmapping processes, yet also some good practices were identified which could contribute to a better coordination of these processes. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - International - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1981", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1981", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1981", "url": "https:\/\/hdl.handle.net\/11329\/1981" }, "author": [ { "@type": "Person", "name": "Ruecker, Gerd" }, { "@type": "Person", "name": "Geyer, Daniel" }, { "@type": "Person", "name": "Ritter, Claudia" }, { "@type": "Person", "name": "Bolliger, Isabel" }, { "@type": "Person", "name": "Griffiths, Alexandra" }, { "@type": "Person", "name": "Guinea, Joaquin" } ], "contributor": [ { "@type": "Organization", "name": "Swiss National Science Foundation for InRoad Project," } ], "keywords": [ "Research infrastructures" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1836", "name": "Optimizing large-scale biodiversity sampling effort: toward an unbalanced survey design.", "description": " - Acquiring marine biodiversity data is difficult, costly, and timeconsuming, making it challenging to understand the distribution and abundance of life in the ocean. Historically, approaches to biodiversity sampling over large geographic scales have advocated for equivalent effort across multiple sites to minimize comparative bias. When effort cannot be equalized, techniques such as rarefaction have been applied to minimize biases by reverting diversity estimates to equivalent numbers of samples or individuals. This often results in oversampling and wasted resources or inaccurately characterized communities due to undersampling. How, then, can we better determine an optimal survey design for characterizing species richness and community composition across a range of conditions and capacities without compromising taxonomic resolution and statistical power? Researchers in the Marine Biodiversity Observation Network Pole to Pole of the Americas (MBON Pole to Pole) are surveying rocky shore macroinvertebrates and algal communities spanning ~107\u00b0 of latitude and 10 biogeographic ecoregions to address this question. Here, we apply existing techniques in the form of fixed-coverage subsampling and a complementary multivariate analysis to determine the optimal effort necessary for characterizing species richness and community composition across the network sampling sites. We show that oversampling for species richness varied between ~20% and 400% at over half of studied areas, while some locations were undersampled by up to 50%. Multivariate error analysis also revealed that most of the localities were oversampled by several-fold for benthic community composition. From this analysis, we advocate for an unbalanced sampling approach to support field programs in the collection of high-quality data, where preliminary information is used to set the minimum required effort to generate robust values of diversity and composition on a site-to-site basis. As part of this recommendation, we provide statistical tools in the open-source R statistical software to aid researchers in implementing optimization strategies and expanding the geographic footprint or sampling frequency of regional biodiversity survey programs. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1836", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1836", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1836", "url": "https:\/\/hdl.handle.net\/11329\/1836" }, "author": [ { "@type": "Person", "name": "Montes, Enrique" }, { "@type": "Person", "name": "Lefcheck, Jonathan S." }, { "@type": "Person", "name": "Guerra-Castro, Edlin" }, { "@type": "Person", "name": "Klein, Eduardo" }, { "@type": "Person", "name": "Kavanaugh, Maria T." }, { "@type": "Person", "name": "de Azevedo Mazzuco, Ana Carolina" }, { "@type": "Person", "name": "Bigatti, Gregorio" }, { "@type": "Person", "name": "Cordeiro, Cesar A.M.M." }, { "@type": "Person", "name": "Simoes, Nuno" }, { "@type": "Person", "name": "Macaya, Erasmo C." }, { "@type": "Person", "name": "Moity, Nicolas" }, { "@type": "Person", "name": "Londo\u00f1o-Cruz, Edgardo" }, { "@type": "Person", "name": "Helmuth, Brian" }, { "@type": "Person", "name": "Choi, Francis" }, { "@type": "Person", "name": "Soto, Eulogio H." }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "Muller-Karger, Frank E." } ], "keywords": [ "MBON", "Survey design", "Biodiversity monitoring", "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1797", "name": "Lessons from a Marine Spatial Planning data management process for Ireland.", "description": " - This paper presents a framework containing ten components to deliver a data management process for the storage and management of data used for Marine Spatial Planning (MSP) in Ireland. The work includes a data process flow and a recommended solution architecture. The architecture includes a central data catalogue and a spatial storage system. The components of the process are presented to maximise the reuse potential of any dataset within an MSP context. The terms \u2018Suitability\u2019 and \u2018Readiness\u2019 in the MSP context are offered as both formal and considered assessments of data, as is the applicability of a data stewardship maturity matrix. How data contained in such a storage system can be published externally to potential consumers of these data is also explored. The process presents a means of managing data and metadata to ensure data lineage is optimised by carrying information about the origin of and the processing applied to the data; to evaluate the quality and relevance of geospatial datasets for use in MSP decisions in Ireland. The process was piloted in the National Marine Planning Framework for Ireland in the development of draft map products; feedback from the public consultation is ongoing and not presented. - , - Refereed - , - 14.5 - , - N\/A - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1797", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1797", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1797", "url": "https:\/\/hdl.handle.net\/11329\/1797" }, "author": [ { "@type": "Person", "name": "Flynn, Sarah" }, { "@type": "Person", "name": "Meaney, Will" }, { "@type": "Person", "name": "Leadbetter, Adam" }, { "@type": "Person", "name": "Fisher, Jeffrey P." }, { "@type": "Person", "name": "Aonghusa, Caitriona Nic" } ], "keywords": [ "Marine spatial planning", "MSP", "Human activity", "Data processing", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1462", "name": "Operating Cabled Underwater Observatories in Rough Shelf-Sea Environments: A Technological Challenge.", "description": " - Cabled coastal observatories are often seen as future-oriented marine technology that enables science to conduct observational and experimental studies under water year-round, independent of physical accessibility to the target area. Additionally, the availability of (unrestricted) electricity and an Internet connection under water allows the operation of complex experimental setups and sensor systems for longer periods of time, thus creating a kind of laboratory beneath the water. After successful operation for several decades in the terrestrial and atmospheric research field, remote controlled observatory technology finally also enables marine scientists to take advantage of the rapidly developing communication technology. The continuous operation of tw ocabled observatories in the southern North Sea and off the Svalbard coast since 2012 shows that even highly complex sensor systems, such as stereo-optical cameras, video plankton recorders or systems for measuring the marine carbonate system, can be successfully operated remotely year-round facilitating continuous scientific access to areas that are difficult to reach, such as the polar seas or the North Sea. Experience also shows, however, that the challenges of operating a cabled coastal observatory go far beyond the provision of electricity and network connection under water. In this manuscript, the essential developmental stages of the \u201cCOSYNA Shallow WaterUnderwater Node\u201d system are presented, and the difficulties and solutions that have arisen in the course of operation since 2012 are addressed with regard to technical,organizational and scientific aspects - , - Refereed - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-10-16 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1462", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1462", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1462", "url": "https:\/\/hdl.handle.net\/11329\/1462" }, "author": [ { "@type": "Person", "name": "Fischer, Philipp" }, { "@type": "Person", "name": "Brix, Holger" }, { "@type": "Person", "name": "Baschek, Burkard" }, { "@type": "Person", "name": "Kraberg, Alexandra" }, { "@type": "Person", "name": "Brand, Markus" }, { "@type": "Person", "name": "Cisewski, Boris" }, { "@type": "Person", "name": "Riethm\u00fcller, Rolf" }, { "@type": "Person", "name": "Breitbach, Gisbert" }, { "@type": "Person", "name": "M\u00f6ller, Klas Ove" }, { "@type": "Person", "name": "Gattuso, Jean-Pierre" }, { "@type": "Person", "name": "Alliouane, Samir" }, { "@type": "Person", "name": "van de Poll, Willem H." }, { "@type": "Person", "name": "Witbaard, Rob" } ], "keywords": [ "Coastal cabled observatories", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/975", "name": "EMP Sample Submission Guide.", "description": " - This protocol was designed for collaborators with the Earth Microbiome Project to contribute samples in a standardized fashion. Raw, frozen samples are submitted in individually labeled tubes, 10 aliquots (identical replicates) per sample. Please note that unsolicited samples cannot be accepted. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/975", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/975", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/975", "url": "https:\/\/hdl.handle.net\/11329\/975" }, "author": [ { "@type": "Person", "name": "Thompson, Luke" }, { "@type": "Person", "name": "Ackermann, Gail" }, { "@type": "Person", "name": "Humphrey, Greg" }, { "@type": "Person", "name": "Gilbert, Jack" }, { "@type": "Person", "name": "Jansson, Janet" }, { "@type": "Person", "name": "Knight, Rob" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Fisheries Southwest Fisheries Research Center" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Other biological measurements", "Parameter Discipline::Marine geology::Rock and sediment chemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/486", "name": "Writing a Communication Strategy: A Step-by-Step Guide and Template. Tailored for International (Marine) Science Organisations.", "description": " - During the Ocean Communicators United meeting focussing on communication strategies, it was noted that most organisations did not make their communication strategies public, and that it was quite difficult to find information on creating communication strategies that was relevant for marine science organisations. It was therefore decided that it would be useful to create a template for communication strategies tailored specifically to (marine) science organisations, and also for the members of the group to share their own communication strategies, where applicable, and if their organisations agreed. A small working group was formed to take on this task, and the following guide was written. It is intended to be adapted and applied by a wide range of users, whether they have a communications background or a scientific background. It can be used to write a communication strategy for an international organisation, programme or project, a research institution, an educational venue,..... - , - Published - , - Produced by Ocean Communicators United as a contribution to the \u201cDeveloping Capacity and Societal Awareness\u201d Working Group of the Group on Earth Observations (GEO) Initiative \u201cOceans and Society: Blue Planet\u201d - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/486", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/486", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/486", "url": "https:\/\/hdl.handle.net\/11329\/486" }, "author": [ { "@type": "Person", "name": "Seeyave, Sophie" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Burg, Scott" }, { "@type": "Person", "name": "Davidson, Kelly-Marie" }, { "@type": "Person", "name": "Keizer, Thecia" }, { "@type": "Person", "name": "Beckman, Fiona" }, { "@type": "Person", "name": "Cheung, Victoria" }, { "@type": "Person", "name": "Miller, Anuschka" }, { "@type": "Person", "name": "Ribeiro, Aurora" }, { "@type": "Person", "name": "Smail, Emily" }, { "@type": "Person", "name": "Villwock, Andreas" } ], "contributor": [ { "@type": "Organization", "name": "Partnership for the Global Observation of the Oceans (POGO) for Ocean Communicators United" } ], "keywords": [ "Communication strategy", "Science communication", "Ocean Communicators United" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/796", "name": "Performance Demonstration Statement YSI 9600 Nitrate Monitor.", "description": " - A key to the successful adoption, and transition to operational use, of new technologies is broad community awareness and confidence. The Alliance for Coastal Technologies (ACT) has therefore completed a Performance Demonstration of in situ nutrient analyzers\/sensors with the goal of aiding in technology refinement and building user acceptance of these novel instruments. The fundamental objectives of this Performance Demonstration were to: (1) highlight the potential capabilities of in situ nutrient analyzers by demonstrating their utility in a broad range of coastal environments with varying nutrient concentrations, (2) promote the awareness of this emerging technology to the scientific and management community responsible for monitoring coastal environments, and (3) work with manufacturers that are presently developing new or improved sensor systems by providing a forum for rigorously evaluating their products using an objective, third-party, nationally distributed testing program. We wish to highlight several fundamental differences in the protocols between an ACT Performance Demonstration and a Performance Verification. First, participating manufacturers were asked to perform all of the required set-up and calibration procedures prior to deployment and to extract the data from the test and submit it in a final concentration specific format. In addition, manufacturers facilitated the testing of laboratory reference standards (made in deionized water with certified SPEX nutrient standards) at the beginning and end of the test. Secondly, there was no laboratory component for directly testing the stated instrument performance capabilities under controlled conditions. Thirdly, field tests were conducted at a subset of four of the eight partner test sites. Lastly, we provided manufacturers with results of initial and final laboratory reference standards, on-board instrument standards and field reference samples to facilitate post-test correction of the in situ determined nutrient concentrations. This procedure is highly recommended for any application of these technologies and provides a better measure of the potential for in situ analyzers to capture accurate time series once appropriate calibrations and controls are applied. In this Demonstration Statement, we present the performance results of the YSI 9600 Nutrient Monitor under diverse environmental conditions in moored deployment tests. A total of three different field sites were used for testing, including: estuary, coastal ocean, and riverine environments. Complete time series data were successfully retrieved in two or the three tests. A software\/communication problem resulted in an unsuccessful test at Resurrection Bay, AK and no data will be presented for that test. At the estuarine site in Chesapeake Bay, the YSI 9600 reported 100% of expected data and generally tracked observed variations in nitrate concentrations that ranged between 0.03 \u2013 0.19 mgN\/L. Regressed instrument versus reference sample data produced an R2 of 0.93, however, there was a significant calibration offset with YSI 9600 predicted concentrations equal to ca. 60% of lab determined concentrations, on average. A slight decay in the accuracy was observed over the course of the 4 week deployment during the test. At the riverine test site in Michigan, the YSI 9600 also reported 100% of expected data and generally tracked observed variations in nitrate concentrations that ranged between 0.5 \u2013 2.7 mgN\/L. Regressed instrument versus reference sample data produced an R2 of 0.89, and the observed calibration offset was much less, with YSI 9600 predicted concentrations equal to ca. 83% of lab determined concentrations, on average. We encourage readers to review the entire document for a comprehensive understanding of instrument performance and to discuss results with the instrument manufacturer. In general, however, it appears that the fundamental technology has the capability to successfully measure in situ nitrate concentrations under a variety of field conditions. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/796", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/796", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/796", "url": "https:\/\/hdl.handle.net\/11329\/796" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Cook, J." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Wells, D." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1537", "name": "Evaluating the Benefits of Bayesian Hierarchical Methods for Analyzing Heterogeneous Environmental Datasets: A Case Study of Marine Organic Carbon Fluxes.", "description": " - Large compilations of heterogeneous environmental observations are increasingly available as public databases, allowing researchers to test hypotheses across datasets. Statistical complexities arise when analyzing compiled data due to unbalanced spatial sampling, variable environmental context, mixed measurement techniques, and other reasons. Hierarchical Bayesian modeling is increasingly used in environmental science to describe these complexities, however few studies explicitly compare the utility of hierarchical Bayesian models to simpler and more commonly applied methods. Here we demonstrate the utility of the hierarchical Bayesian approach with application to a large compiled environmental dataset consisting of 5,741 marine vertical organic carbon flux observations from 407 sampling locations spanning eight biomes across the global ocean. We fit a global scale Bayesian hierarchical model that describes the vertical profile of organic carbon flux with depth. Profile parameters within a particular biome are assumed to share a common deviation from the global mean profile. Individual station-level parameters are then modeled as deviations from the common biome-level profile. The hierarchical approach is shown to have several benefits over simpler and more common data aggregation methods. First, the hierarchical approach avoids statistical complexities introduced due to unbalanced sampling and allows for flexible incorporation of spatial heterogeneitites in model parameters. Second, the hierarchical approach uses the whole dataset simultaneously to fit the model parameters which shares information across datasets and reduces the uncertainty up to 95% in individual profiles. Third, the Bayesian approach incorporates prior scientific information about model parameters; for example, the non-negativity of chemical concentrations or mass-balance, which we apply here. We explicitly quantify each of these properties in turn. We emphasize the generality of the hierarchical Bayesian approach for diverse environmental applications and its increasing feasibility for large datasets due to recent developments in Markov Chain Monte Carlo algorithms and easy-to-use high-level software implementations. - , - Dissolved organic carbon - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1537", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1537", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1537", "url": "https:\/\/hdl.handle.net\/11329\/1537" }, "author": [ { "@type": "Person", "name": "Britten, Gregory L." }, { "@type": "Person", "name": "Mohajerani, Yara" }, { "@type": "Person", "name": "Primeau, Louis" }, { "@type": "Person", "name": "Aydin, Murat" }, { "@type": "Person", "name": "Garcia, Catherine" }, { "@type": "Person", "name": "Wang, Wei-Lei" }, { "@type": "Person", "name": "Pasquier, Beno\u0131t" }, { "@type": "Person", "name": "Cael, B. B." }, { "@type": "Person", "name": "Primeau, Fran\u00e7ois W." } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/86", "name": "Weather reporting, Volume D: Information for shipping. 2014 Edition (with amendments 29 May 2018)", "description": " - marine meteorology; shipping - , - This Volume includes marine meteorological and other related geophysical information necessary for safe and economic conduct of shipping operations, as well as for fishing and other marine activities. To ensure complete area coverage and adequacy of services, the Oceans and Seas have been divided into METAREAS. This Chapter provides charts indicating the limits of METAREAS together with the area co-ordinates followed by the transmission schedule for the full GMDSS service. - , - http:\/\/www.wmo.int\/pages\/prog\/www\/ois\/Operational_Information\/VolumeD\/VolumeD.pdf - , - updated every year; all Member States need to provide updated information - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/86", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/86", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/86", "url": "https:\/\/hdl.handle.net\/11329\/86" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization (WMO)" } ], "keywords": [ "Ships", "Shipping" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1189", "name": "Perspectives on in situ Sensors for Ocean Acidification Research.", "description": " - As ocean acidification (OA) sensor technology develops and improves, in situ deployment of such sensors is becoming more widespread. However, the scientific value of these data depends on the development and application of best practices for calibration, validation, and quality assurance as well as on further development and optimization of the measurement technologies themselves. Here, we summarize the results of a 2-day workshop on OA sensor best practices held in February 2018, in Victoria, British Columbia, Canada, drawing on the collective experience and perspectives of the participants. The workshop on in situ Sensors for OA Research was organized around three basic questions: 1) What are the factors limiting the precision, accuracy and reliability of sensor data? 2) What can we do to facilitate the quality assurance\/quality control (QA\/QC) process and optimize the utility of these data? and 3) What sort of data or metadata are needed for these data to be most useful to future users? A synthesis of the discussion of these questions among workshop participants and conclusions drawn is presented in this paper. - , - Refereed - , - 14.3 - , - Inorganic carbon - , - Best Practices - , - Standard Operating Procedure - , - 2019-03-15 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1189", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1189", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1189", "url": "https:\/\/hdl.handle.net\/11329\/1189" }, "author": [ { "@type": "Person", "name": "Sastri, Akash R." }, { "@type": "Person", "name": "Christian, James R." }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Atamanchuk, Dariia" }, { "@type": "Person", "name": "Buck, Justin J. H." }, { "@type": "Person", "name": "Bresnahan, Philip" }, { "@type": "Person", "name": "Duke, Patrick J." }, { "@type": "Person", "name": "Evans, Wiley" }, { "@type": "Person", "name": "Gonski, Stephen F." }, { "@type": "Person", "name": "Johnson, Bruce" }, { "@type": "Person", "name": "Juniper, S. Kim" }, { "@type": "Person", "name": "Mihaly, Steve" }, { "@type": "Person", "name": "Miller, Lisa A." }, { "@type": "Person", "name": "Morley, Mike" }, { "@type": "Person", "name": "Murphy, Dave" }, { "@type": "Person", "name": "Nakaoka, Shin-ichiro" }, { "@type": "Person", "name": "Ono, Tsuneo" }, { "@type": "Person", "name": "Parker, George" }, { "@type": "Person", "name": "Simpson, Kyle" }, { "@type": "Person", "name": "Tsunoda, Tomohiko" } ], "keywords": [ "Ocean acidification", "Sensors", "Best practices", "Carbonate system", "Parameter Discipline::Chemical oceanography::Carbonate system", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/98", "name": "Guide to satellite remote sensing of the marine environment. 1992 [OBSOLETE]", "description": " - remote sensing; artificial satellites; marine environment; oceanographic measurement; guides - , - The purpose of this guide to review the present state-of-the-art of remote sensing of the earth's surface from orbiting satellites. The uniformity of satellite coverage is one of its greatest advantages over conventional surface measurements: another is the facility of a spacecraft to build up a series of reliable, repetitive measurements to reveal changing patterns of behavior. A satellite's view may be restricted to the sea surface but many details of the underlying deep-sea topography, coastal bathymetry, circulation patterns, ocean productivity and heat transport have been detected from space. Besides, the changes in the marine environment which most affect human activities, tides, waves, storm surges, pollution and weather patterns, are to be observed at the surface. - , - http:\/\/unesdoc.unesco.org\/images\/0009\/000926\/092618eo.pdf - , - OBSOLETE - JCOMM needs to address satellite issues and propose mechanisms for documenting best practices - , - Obsolete - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/98", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/98", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/98", "url": "https:\/\/hdl.handle.net\/11329\/98" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Satellite sensing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1017", "name": "Towards population genomics in non-model species with large genomes: a case study of the marine zooplankton Calanus finmarchicus.", "description": " - Advances in next-generation sequencing technologies and the development of genome-reduced representation protocols have opened the way to genome-wide population studies in non-model species. However, species with large genomes remain challenging, hampering the development of genomic resources for a number of taxa including marine arthropods. Here, we developed a genome-reduced representation method for the ecologically important marine copepod Calanus finmarchicus (haploid genome size of 6.34 Gbp). We optimized a capture enrichment-based protocol based on 2656 single-copy genes, yielding a total of 154 087 high-quality SNPs in C. finmarchicus including 62 372 in common among the three locations tested. The set of capture probes was also successfully applied to the congeneric C. glacialis. Preliminary analyses of these markers revealed similar levels of genetic diversity between the two Calanus species, while populations of C. glacialis showed stronger genetic structure compared to C. finmarchicus. Using this powerful set of markers, we did not detect any evidence of hybridization between C. finmarchicus and C. glacialis. Finally, we propose a shortened version of our protocol, offering a promising solution for population genomics studies in non-model species with large genomes. - , - Refereed - , - 14 - , - Pilot or Demonstrated: Methodologies are being demonstrated and validated; limited consensus exists on widespread use or in any given situation (TRL 4-6); - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1017", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1017", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1017", "url": "https:\/\/hdl.handle.net\/11329\/1017" }, "author": [ { "@type": "Person", "name": "Choquet, Marvin" }, { "@type": "Person", "name": "Smolina, Irina" }, { "@type": "Person", "name": "Dhanasiri, Anusha K. S." }, { "@type": "Person", "name": "Blanco-Bercial, Leocadio" }, { "@type": "Person", "name": "Kopp, Martina" }, { "@type": "Person", "name": "Jueterbock, Alexander" }, { "@type": "Person", "name": "Sundaram, Arvind Y. M." }, { "@type": "Person", "name": "Hoarau, Galice" } ], "keywords": [ "Genome reduced-representation", "Sequence capture enrichment", "Calanus spp", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/770", "name": "Performance Verification Statement for the Aanderaa Data Instruments\u2019 4319 B Conductivity Sensor.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the Aanderaa Data Instruments (AADI) 4319 B conductivity sensor evaluated in the laboratory and under diverse environmental conditions in moored and profiling field tests. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, sub-tropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by ACT QA specialists, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the AADI 4319 B sensor exhibited a strong linear response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures 2 ranging from 6 - 32 oC with R >0.9999, SE = 0.0337 and slope = 0.998. The overall mean and variance of the absolute difference between instrument measured salinity and reference sample salinity for all treatments was -0.0244 \u00b10.0369 psu. When examined independently, the mean of the offsets for the conductivity and temperature sensors were -0.0468 \u00b10.0454 mS\/cm and -0.0146 \u00b10.0144 oC. Across all five field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. Extensive and rapid biofouling at the FL and GA test sites severely impacted instrument performance within approximately one week. For the HI test site instrument performance was stable for about three weeks before significantly impacted by fouling. The initial relative accuracy of instrument measured salinity during the first few days of deployment period was 0.005, 0.013, -0.054, and -0.034 psu for FL, GA, HI, and MI, respectively. The variability in response was too large in AK to determine any initial offset. Essentially all of the variability and measurement error was traced to the performance of the conductivity cell. The temperature sensor was quite accurate and stable throughout all of the deployments. The average offset of the measured temperature relative to our calibrated reference temperature logger was -0.0098, 0.0075, -0.0015, 0.0039, and -0.0022 oC for FL, GA, HI, MI, and AK, respectively. When instrument response for the first 14 days of deployment was compared together for 2 all five field sites, a fairly consistent and linear performance response was observed with R = 0.994, SE = 1.067 and slope = 0.984 Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. On several occasions results of these tests were compromised, most likely because of entrainment of air bubbles in the conductivity cell. In general, there was no strong evidence for calibration drift during the period of deployment and the test confirmed that the deterioration of instrument performance during the field deployments was due to biofouling. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for all laboratory tests, all field deployment tests, and all tank exposure tests. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 5 and plus 31 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance - , - Published - , - Refereed - , - Current - , - Sea surface salinity - , - Subsurface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/770", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/770", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/770", "url": "https:\/\/hdl.handle.net\/11329\/770" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1699", "name": "MEDIN data guideline for fixed position meteorological measuring instruments. Version 1.5.", "description": " - This document details best practice in archiving data collected from meteorological masts and fixed position or moored remote sensing devices, such as floating LiDAR. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata and data is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1699", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1699", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1699", "url": "https:\/\/hdl.handle.net\/11329\/1699" }, "author": [ { "@type": "Person", "name": "Bradbury, C." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Temperature", "Wind Direction", "LiDAR", "Meteorological Masts", "Fixed Platform", "Floating Platform", "Pressure", "Wind Speed", "Meteorological Measurement System", "Parameter Discipline::Atmosphere", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1310", "name": "Sampling and Analysis Plan for Microplastic Monitoring in San Francisco Bay and Adjacent National Marine Sanctuaries: FINAL.", "description": " - Plastic in the ocean, and more specifically microplastic (particles <5 mm), has been gaining global attention as a pervasive and preventable threat to the health of marine ecosystems. Microplastic is ingested by marine organisms (Wright et al. 2013), and may impact their physiological processes (von Moos et al. 2012; Cole et al. 2013, 2015; Rochman et al. 2013, 2014b; Wright et al. 2013; Watts et al. 2015; Lu et al. 2016; Sussarellu et al. 2016). Microplastic may also contain harmful chemicals such as flame retardants, plasticizers, or dyes (Browne et al. 2013; Fries et al. 2013; Rochman et al. 2013, 2014a,b), and may provide a substrate for the adsorption of other harmful chemicals in the ocean, like PCBs and DDT (Teuten et al. 2007), which then may be transferred up the food chain (e.g., Farrell and Nelson 2013; Rochman et al. 2014a; Setala et al. 2014). Many scientific questions remain, however, and there is a need for research on the patterns of distribution and uptake of microplastic by organisms in their ocean ecosystems. These scientific gaps also exist for San Francisco Bay, where basic questions remain unanswered, such as where, when, and how is microplastic entering the Bay and what circulation patterns deliver them to the ocean. The use of plastic in modern society is ubiquitous; as a result, the pathways by which microplastic reach the Bay, its transport and distribution throughout the Bay, and the levels to which it is taken up into the food web are complex. A preliminary study of nine surface water sites in Central Bay and South Bay showed greater levels of microplastic than in either the Great Lakes or Chesapeake Bay (Sutton et al. 2016). Understanding this stressor is important not only to the health of the Bay, but to the adjacent ocean. In addition, understanding the dynamics of this issue from a scientific perspective is critical to informing and motivating effective policy solutions, interventions, and innovations at the waste treatment, individual behavior, and industrial design level. Current policies that govern wastewater and stormwater treatment processes and current definitions of pollution are inadequate to address this growing and widespread threat. Data are essential to understanding and minimizing the impacts of microplastic on San Francisco Bay and the adjacent ocean. To develop critical baseline data and inform solutions, the Gordon and Betty Moore Foundation has awarded the San Francisco Estuary Institute and The 5 Gyres Institute a grant for $880,250 to complete a series of studies over 2 years, including water, sediment, and fish monitoring; computer modeling; evaluation of policy options; and communication of findings to the scientific, industry and policy\u2010maker communities as well as the public. The RMP has allocated matching funds of $75,000 and in\u2010kind support for this project. Bay Area stormwater and wastewater agencies are also providing in\u2010kind support through access to sampling areas and expertise. This document outlines the environmental monitoring that will be conducted to address the data gaps that have been identified for San Francisco Bay and the sanctuaries. The document briefly explains the overall management questions that guide the long\u2010term monitoring for microplastic and provides a context for the goals for this specific project. The document articulates the specific hypotheses and research questions that guided the design of this sampling plan. Additional information on the overarching goals of the microplastic program can be found in the RMP Microplastic Strategy (Sutton and Sedlak 2017). - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1310", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1310", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1310", "url": "https:\/\/hdl.handle.net\/11329\/1310" }, "author": [ { "@type": "Person", "name": "Sedlak, Meg" }, { "@type": "Person", "name": "Sutton, Rebecca" }, { "@type": "Person", "name": "Box, Carolynn" }, { "@type": "Person", "name": "Sun, Jennifer" }, { "@type": "Person", "name": "Lin, Diana" } ], "contributor": [ { "@type": "Organization", "name": "San Francisco Estuary Institute and Aquatic Science Center" } ], "keywords": [ "Microplastics", "Marine debris", "Marine litter", "Plastic litter", "Plastic debris", "Parameter Discipline::Environment::Anthropogenic contamination", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2390", "name": "Data discoverability and accessibility Report from workshops on marine imagery and biological specimen data, September 2018.", "description": " - As the rate of marine data acquisition increases, so too does the need for that data to abide by the FAIR (findable, accessible, interoperable, reusable) principles. From the nation\u2019s perspective, a coherent and assessable data source(s) enables smarter use and management of our marine estate. From a researcher\u2019s perspective, open data can be advantageous by increasing citations, media attention, collaborations, jobs and funding opportunities. It is therefore vital that researchers and research organisations strive to release all marine metadata and data so that it is discoverable and accessible by the public. With the development of national standards (Field Manuals for Marine Sampling to Monitor Australian Waters), it became clear that we were unable to advocate a national standard for data release for many data types (bathymetry, marine imagery, biological specimen data) because we either do not yet have suitable digital infrastructure or clear links between existing infrastructure. To meet these challenges, workshops were held in the months following the release of the field manuals, focusing on issues with data discoverability and accessibility for two major data types: \u2022 Marine imagery was the focus of a Data Discoverability and Accessibility Workshop hosted by the NESP Marine Hub and the Australian Ocean Data Network (AODN) on 6-7 September 2018 at Geoscience Australia in Canberra. \u2022 Biological specimen data was the focus of a Data Discoverability and Accessibility Workshop hosted by the NESP Marine Hub and the AODN on 7 September 2018 at CSIRO in Hobart. - , - Published - , - Refereed - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2390", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2390", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2390", "url": "https:\/\/hdl.handle.net\/11329\/2390" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Falkner, Inke" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Mancini, Seb" }, { "@type": "Person", "name": "Bainbridge, Scott" }, { "@type": "Person", "name": "Bax, Narissa" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Flukes, Emma" }, { "@type": "Person", "name": "Gonzalez-Riviero, Manuel" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Moore, Kirrily" }, { "@type": "Person", "name": "Rehbein, Mark" }, { "@type": "Person", "name": "Tattersall, Katherine" }, { "@type": "Person", "name": "Watts, Dave" }, { "@type": "Person", "name": "Williams, Alan" }, { "@type": "Person", "name": "Wyatt, Mathew" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia, Marine Biodiversity Hub" } ], "keywords": [ "FAIR Principles", "Imagery", "National standard", "Accessibility", "Biological specimens", "Data discoverability", "Underwater photography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2417", "name": "Interoperable vocabulary for marine microbial flow cytometry.", "description": " - The recent development of biological sensors has extended marine plankton studies from conducting laboratory bench work to in vivo and real-time observations. Flow cytometry (FCM) has shed new light on marine microorganisms since the 1980s through its single-cell approach and robust detection of the smallest cells. FCM records valuable optical properties of light scattering and fluorescence from cells passing in a single file in front of a narrow-collimated light source, recording tens of thousands of cells within a few minutes. Depending on the instrument settings, the sampling strategy, and the automation level, it resolves the spatial and temporal distribution of microbial marine prokaryotes and eukaryotes. Cells are usually classified and grouped on cytograms by experts and are still lacking standards, reducing data sharing capacities. Therefore, the need to make FCM data sets FAIR (Findability, Accessibility, Interoperability, and Reusability of digital assets) is becoming critical. In this paper, we present a consensus vocabulary for the 13most common marine microbial groups observed with FCM using blue and red-light excitation. The authors designed a common layout on two-dimensional log-transformed cytograms reinforced by a decision tree that facilitates the characterization of groups. The proposed vocabulary aims at standardising data analysis and definitions, to promote harmonisation and comparison of data between users and instruments. This represents a much-needed step towards FAIRification of flow cytometric data collected in various marine environments - , - Refereed - , - 14.a - , - Microbe biomass and diversity - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2417", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2417", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2417", "url": "https:\/\/hdl.handle.net\/11329\/2417" }, "author": [ { "@type": "Person", "name": "Thyssen, Melilotus" }, { "@type": "Person", "name": "Gregori, Gerald" }, { "@type": "Person", "name": "Creach, Veronique" }, { "@type": "Person", "name": "Lahbib, Soumaya" }, { "@type": "Person", "name": "Dugenne, Mathilde" }, { "@type": "Person", "name": "Aardema, Hedy M." }, { "@type": "Person", "name": "Artigas, Luis-Felipe" }, { "@type": "Person", "name": "Huang, Bangqin" }, { "@type": "Person", "name": "Barani, Aude" }, { "@type": "Person", "name": "Beaugeard, Laureen" }, { "@type": "Person", "name": "Bellaaj-Zouari, Amel" }, { "@type": "Person", "name": "Beran, Alfred" }, { "@type": "Person", "name": "Casotti, Raffaella" }, { "@type": "Person", "name": "Del Amo, Yolanda" }, { "@type": "Person", "name": "Denis, Michel" }, { "@type": "Person", "name": "Dubelaar, George B.J." }, { "@type": "Person", "name": "Endres, Sonja" }, { "@type": "Person", "name": "Haraguchi, Lumi" }, { "@type": "Person", "name": "Karlson, Bengt" }, { "@type": "Person", "name": "Lambert, Christophe" }, { "@type": "Person", "name": "Louchart, Arnaud" }, { "@type": "Person", "name": "Marie, Dominique" }, { "@type": "Person", "name": "Moncoiffe, Gwena\u00eblle" }, { "@type": "Person", "name": "Pecqueur, David" }, { "@type": "Person", "name": "Ribalet, Francoise" }, { "@type": "Person", "name": "Rijkeboer, Machteld" }, { "@type": "Person", "name": "Silovic, Tina" }, { "@type": "Person", "name": "Silva, Ricardo" }, { "@type": "Person", "name": "Marro, Sophie" }, { "@type": "Person", "name": "Sosik, Heidi M." }, { "@type": "Person", "name": "Sourisseau, Marc" }, { "@type": "Person", "name": "Tarran, Glen" }, { "@type": "Person", "name": "Van Oostende, Nicolas" }, { "@type": "Person", "name": "Zhao, Li" }, { "@type": "Person", "name": "Zheng, Shan" } ], "keywords": [ "Flow cytometry", "Marine microorganisms", "Standardization", "FAIR vocabulary", "Interoperable vocabulary for marine flow cytometry", "Microzooplankton", "Other biological measurements", "flow cytometers", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1941", "name": "OceanGliders Oxygen SOP v1.0.0. [GOOS ENDORSED PRACTICE]", "description": " - This standard operating procedure (SOP) document for dissolved oxygen (DO) aims to guide the user through the steps necessary to collect good quality dissolved oxygen data using ocean gliders for both real time and post deployment data streams. - , - European Union, EuroSea - , - Published - , - Refereed - , - FRENCH === Ce document de proc\u00e9dure d'exploitation standard (SOP) pour l'oxyg\u00e8ne dissous (DO) vise \u00e0 guider l'utilisateur \u00e0 travers les \u00e9tapes n\u00e9cessaires pour collecter des donn\u00e9es d'oxyg\u00e8ne dissous de bonne qualit\u00e9 \u00e0 l'aide de planeurs oc\u00e9aniques pour les flux de donn\u00e9es en temps r\u00e9el et post-d\u00e9ploiement. - , - GERMAN === Dieses Standardarbeitsanweisungsdokument (SOP) f\u00fcr gel\u00f6sten Sauerstoff (DO) zielt darauf ab, den Benutzer durch die erforderlichen Schritte zu f\u00fchren, um qualitativ hochwertige Daten zu gel\u00f6stem Sauerstoff mithilfe von Ozeangleitern sowohl in Echtzeit als auch f\u00fcr Datenstr\u00f6me nach dem Einsatz zu sammeln - , - PORTUGUESE === Este documento de procedimento operacional padr\u00e3o (SOP) para oxig\u00eanio dissolvido (DO) visa orientar o usu\u00e1rio pelas etapas necess\u00e1rias para coletar dados de oxig\u00eanio dissolvido de boa qualidade usando planadores oce\u00e2nicos para fluxos de dados em tempo real e p\u00f3s-implanta\u00e7\u00e3o - , - SPANISH === Este documento de procedimiento operativo est\u00e1ndar (SOP) para ox\u00edgeno disuelto (OD) tiene como objetivo guiar al usuario a trav\u00e9s de los pasos necesarios para recopilar datos de ox\u00edgeno disuelto de buena calidad utilizando planeadores oce\u00e1nicos para flujos de datos en tiempo real y posteriores al despliegue. - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Oxygen - , - Temperature - , - Conductivity (salinity) - , - Oxygen Aanderaa Optode - , - RBRcoda T.ODO - , - AROD-FT sensor (RINKO JFE) - , - SBE 43 - , - SBE 43F - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1941", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1941", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1941", "url": "https:\/\/hdl.handle.net\/11329\/1941" }, "author": [ { "@type": "Person", "name": "Lopez-Garcia, Patricia" }, { "@type": "Person", "name": "Hull, Tom" }, { "@type": "Person", "name": "Thomsen, Soeren" }, { "@type": "Person", "name": "Hahn, Johannes" }, { "@type": "Person", "name": "Queste, Bastien Y." }, { "@type": "Person", "name": "Krahmann, Gerd" }, { "@type": "Person", "name": "Williams, Charlotte" }, { "@type": "Person", "name": "Woo, Mun" }, { "@type": "Person", "name": "Pattiaratchi, Charitha" }, { "@type": "Person", "name": "Coppola, Laurent" }, { "@type": "Person", "name": "Morales, Tania" }, { "@type": "Person", "name": "Racap\u00e9, Virginie" }, { "@type": "Person", "name": "Gourcuff, Claire" }, { "@type": "Person", "name": "Allen, John" }, { "@type": "Person", "name": "Alou-Font, Eva" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos D." }, { "@type": "Person", "name": "Turpin, Victor" }, { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Testor, Pierre" }, { "@type": "Person", "name": "Busecke, Julius" }, { "@type": "Person", "name": "Bourma, Evi" }, { "@type": "Person", "name": "Richards, Clark" }, { "@type": "Person", "name": "Pearce, Stuart" }, { "@type": "Person", "name": "Carvalho, Filipa" }, { "@type": "Person", "name": "Giddy, Isabelle" }, { "@type": "Person", "name": "Begler, Christian" } ], "contributor": [ { "@type": "Organization", "name": "OceanGliders" } ], "keywords": [ "EuroSea Project", "Dissolved gases", "Dissolved gas sensors", "Data analysis", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/925", "name": "A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change.", "description": " - The evolution of ocean temperature measurement systems is presented with a focus on the development and accuracy of two critical devices in use today (expendable bathythermographs and conductivity-temperature-depth instruments used on Argo floats). A detailed discussion of the accuracy of these devices and a projection of the future of ocean temperature measurements are provided. The accuracy of ocean temperature measurements is discussed in detail in the context of ocean heat content, Earth's energy imbalance, and thermosteric sea level rise. Up-to-date estimates are provided for these three important quantities. The total energy imbalance at the top of atmosphere is best assessed by taking an inventory of changes in energy storage. The main storage is in the ocean, the latest values of which are presented. Furthermore, despite differences in measurement methods and analysis techniques, multiple studies show that there has been a multidecadal increase in the heat content of both the upper and deep ocean regions, which reflects the impact of anthropogenic warming. With respect to sea level rise, mutually reinforcing information from tide gauges and radar altimetry shows that presently, sea level is rising at approximately 3 mm yr-1 with contributions from both thermal expansion and mass accumulation from ice melt. The latest data for thermal expansion sea level rise are included here and analyzed. - , - Refereed - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/925", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/925", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/925", "url": "https:\/\/hdl.handle.net\/11329\/925" }, "author": [ { "@type": "Person", "name": "Church, J.A." }, { "@type": "Person", "name": "Conroy, J.L." }, { "@type": "Person", "name": "Domingues, C.M." }, { "@type": "Person", "name": "Fasullo, J.T." }, { "@type": "Person", "name": "Gilson, J." }, { "@type": "Person", "name": "Goni, G." }, { "@type": "Person", "name": "Good, S.A." }, { "@type": "Person", "name": "Gorman, J.M." }, { "@type": "Person", "name": "Gouretski, V." }, { "@type": "Person", "name": "Ishii, M." }, { "@type": "Person", "name": "Johnson, G.C." }, { "@type": "Person", "name": "Kizu, S." }, { "@type": "Person", "name": "Lyman, J.M." }, { "@type": "Person", "name": "Macdonald, A.M." }, { "@type": "Person", "name": "Minkowycz, W.J." }, { "@type": "Person", "name": "Moffitt., S.E." }, { "@type": "Person", "name": "Palmer, M.D." }, { "@type": "Person", "name": "Piola, A.R." }, { "@type": "Person", "name": "Reseghetti, F." }, { "@type": "Person", "name": "Schuckmann, K." }, { "@type": "Person", "name": "Trenberth, K.E." }, { "@type": "Person", "name": "Velicogna, I." }, { "@type": "Person", "name": "Willis, J.K." } ], "keywords": [ "Global warming", "Heat content", "Argo floats", "Expendable bathythermograph", "XBT", "Thermosteric sea level rise", "Earth energy balance", "CTD", "Parameter Discipline::Physical oceanography::Water column temperature and salinity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1534", "name": "The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments.", "description": " - In the past years, many methodologies and tools have been developed to assess the FAIRness of research data. These different methodologies and tools have been based on various interpretations of the FAIR principles, which makes comparison of the results of the assessments difficult. The work in the RDA FAIR Data Maturity Model Working Group reported here has delivered a set of indicators with priorities and guidelines that provide a \u2018lingua franca\u2019 that can be used to make the results of the assessment using those methodologies and tools comparable. The model can act as a tool that can be used by various stakeholders, including researchers, data stewards, policy makers and funding agencies, to gain insight into the current FAIRness of data as well as into the aspects that can be improved to increase the potential for reuse of research data. Through increased efficiency and effectiveness, it helps research activities to solve societal challenges and to support evidence-based decisions. The Maturity Model is publicly available and the Working Group is encouraging application of the model in practice. Experience with the model will be taken into account in the further development of the model. - , - Refereed - , - 14.A - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1534", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1534", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1534", "url": "https:\/\/hdl.handle.net\/11329\/1534" }, "author": [ { "@type": "Person", "name": "Bahim, Christophe" }, { "@type": "Person", "name": "Casorr\u00e1n-Amilburu, Carlos" }, { "@type": "Person", "name": "Dekkers, Makx" }, { "@type": "Person", "name": "Herczog, Edit" }, { "@type": "Person", "name": "Loozen, Nicolas" }, { "@type": "Person", "name": "Repanas, Konstantinos" }, { "@type": "Person", "name": "Russell, Keith" }, { "@type": "Person", "name": "Stall, Shelley" } ], "keywords": [ "FAIR", "Research data", "Assessment", "Digital object", "Data management", "Evaluation", "Maturity", "Parameter Discipline::Administration and dimensions", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1874", "name": "Opportunities, Challenges and Good Practices in International Research Cooperation between Developed and Developing Countries.", "description": " - This report of the OECD Global Science Forum describes issues and options that deserve the attention of scientists and administrators in industrialised countries and in developing countries, as they seek to design, initiate and manage collaborative research programmes and projects that include both scientifi c and development goals. The report identifi es good practices and new ideas, and presents options for concrete actions, compiled during the course of the Global Science Forum project, which included a data-gathering and analysis phase, and culminated in a workshop held in Pretoria, South Africa, in September 2010. Links between science policy and the mechanisms of development aid already exist in some countries. Offi cial Development Assistance (ODA) has traditionally been used mainly to provide technical assistance, but there are now new motivations and opportunities to support scientifi c collaboration for developmental goals, and to strengthen research capacity, especially in the developing countries. In recent years, a number of countries and private organisations have assigned a higher priority to global issues, have put more emphasis on collaborative research, and have moved beyond traditional technology transfer. In the industrialised countries, scientists and policy makers increasingly turn to countries in the developing world as desirable and even crucial partners who can provide a wide range of expertise, resources, and other benefi ts, from natural research sites to future commercial markets for high-technology products. Meanwhile, a growing number of developing countries are building and enhancing research capacity to create and utilize new knowledge that is essential for their economic growth, and for dealing with the local effects of global-scale problems in domains such as health, food production, or environmental protection. This OECD report is meant to facilitate international cooperation, to build confi dence and trust between scientists and administrators, and to enhance ownership of research results by all participants. - , - OECD - , - Published - , - Current - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1874", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1874", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1874", "url": "https:\/\/hdl.handle.net\/11329\/1874" }, "contributor": [ { "@type": "Organization", "name": "Organisation for Economic Co-operation and Development (OECD) Global Science Forum" } ], "keywords": [ "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/840", "name": "Data Buoy Cooperation Panel 10.3 - Guidelines to Oceanographic Instruments.[DBCP 34 Session].", "description": " - The Guidelines for Oceanographic Instrument standards and Methods of Observation aids in instrumentation and measurement techniques used to make ocean observations. DBCP 31 session agreed that DBCP guidelines for instrument standards ought to be developed. The Panel agreed that the following should initially be undertaken: (i) checking existing materials (e.g. WMO No. 8, Guide to Meteorological Instruments and Methods of Observation), (ii) agreeing on the scope of the guidelines document, and the methodology for producing it, and then (iii) proposing a work-plan, and who should contribute. The guidelines document could include instrument classes, and information on traceability requirements, while certification could simply be undertaken at the DBCP level through a committee to be established for that purpose. The Panel requested R. Venkatesan (India) to lead such developments, with assistance from Luca Centuriani, David Meldrum, and the Secretariat in the view to make a proposal (possibly a draft guidelines document) at the next Panel Session . The Panel requested R. Venkatesan to lead such developments, with assistance from Luca Centuriani, David Meldrum, and the Secretariat in the view to make a proposal (possibly a draft guidelines document) at the next Panel Session During DBCP 32 a draft guidelines was presented addressing the points suggested such as checking existing materials (e.g. WMO No. 8, Guide to Meteorological Instruments and Methods of Observation),, defining the scope of the guidelines document, and the methodology for producing it and clarity on the work plan was getting emerged (Action DBCP 33) Further DBCP Session 33 discussed and recommended Rec 8.7\/2 to pursue this work and: DBCP guidelines for oceanographic instruments (revised draft) was presented and urged members to review and finalize before DBCP 34 Action 9.2\/3 In oceanography, much is still to be learned through observation and instrumentation is often the limiting factor to observation. It is essential to develop skill in the utilization of oceanographic instrumentation and to specify or invent new instrumentation that will aid observation. Better techniques of measurement lead to greater and more accurate understanding of the natural system. The short term benefit of such understanding is the ability to predict the response of the ocean and the long term benefit is a change in our own behaviour as a society that leads to opportunities for human use and individual appreciation to society\u2019s benefit. The ocean observations have immense societal value through various climate and weather applications, such as forecasts of droughts, tropical cyclones and associated storm surges, and projections of decadal to multidecadal climate variability and change. These observations provide vital information in the management of ocean ecosystems and human adaptation activities in response to climate variability and change. But there is no concrete guide for Oceanographic Observations and Instruments, such as CIMO guide for the Meteorological Instruments, which is already well established by World Meteorological Organization (WMO). Thus, standardization of methodologies and instrumentation in oceanographic observation has remained a key concern in the oceanographic community. Industries of oceanographic sensors from many countries have attempted to develop standardized ocean observation techniques and new technology in instrumentation and these attempts are sparse and not wide spread. The oceanographic instruments were developed by small companies and have been taken over by big companies nowadays. The standardization of protocols used to control and configure the instruments, and to retrieve their data are minimal. Hence an attempt is made to detail the specifications of instruments, practices and procedures for data collection, quality control of data and standardization of instruments. The aim of this guide is to fill the void that has occurred from few decades in ocean observation instrumentation and standardized methodologies based on the experience and knowledge gained by the scientific community. The process of standardisation required in various stages from Instrument to data reception is described below 1. Instrument 2. Integration of Instruments to Observing Platform & Real time Data Transmission 3. Data and Met Data format : Standardization efforts in the marine research community have largely focused on this standard formats for data and meta-data to ensure interoperability between data producers andconsumers Instrument to Data 1. Instrument standard \u2022 Instrument Protocol: RS232 and RS485 serial are the dominant physical layer protocols and has been increasingly displaced by Ethernet nowadays; the syntax and command sets for the instruments are exclusively designed by the manufacturer. \u2022 Some Instruments return data in a readable format, typically as ASCII-encoded decimal numbers separated by commas or tab characters. However, there are many other formats, with varying degrees of complexity, compatible to the characteristics of each instrument. These may include fields defined by fixed or delimited formats, and binary encoding of various integer and floating-point number types. Different data fields within a packet may be encoded differently. \u2022 A single instrument may also produce multiple packet formats within the same data stream. For example, an instrument may report \u201chousekeeping\u201d data in separate packets, and at different rates, from its primary measurement data. The contents of a data field could even indicate the length or a format of subsequent data within the same packet. 2. Integration of Instruments to the Observing Platform and Data Transmission: \u2022 The oceanographic instruments are often integrated into an observing system or a sensor network, which provides software infrastructure for many useful functions, such as instrument data acquisition, data logging, and data transfer to other locations via wired or wireless telemetry links. Most observational systems use generic or standard protocols for these functions. \u2022 A driver software that translates between specific instrument and generic system protocols must be written for each kind of instrument. \u2022 The driver must be configured properly as soon as the instrument is installed onto a communication port on the observing system. \u2022 A definition of the raw instrument protocol exchanged between the instrument and the data acquisition system is essential Real time data transmission from Observing Platform \u2022 After instruments are connected to an observing system\u2019s network, the real - time remote access to instrument data via the Internet is provided. Few instruments provide communications in a standard command protocol format\u2014thus observatory or shore-based software is required to transform the instrument data format to a standard form. \u2022 Standardization is required to minimize the need for software development and manual configuration steps, thereby reducing system complexity, development and operational cost. 3 Data and Met Data: \u2022 Standardization efforts in the marine research community have largely focused on the standard formats for data and meta-data to ensure interoperability between data producers and consumers. \u2022 In terms of metadata formats, most viable standards are based on XML, and use the ISO19115 schema for describing geographic information, with some extensions to cover characteristics of marine data. \u2022 The International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC) of UNESCO promote XML and ISO19115 for metadata encoding, with the World Meteorological Organization (WMO) Core Metadata Profile. This definition may be noted for reference throughout this document \u2022 Sensor \u2013 that measures a desired parameter \u2022 Instrument \u2013 a sensor or collection of sensors \u2022 Components \u2013 Data loggers, communications and positioning equipment, power supplies, ancillary cables and connectors, mounting hardware, etc. \u2022 Platform \u2013 physical structure on which components are deployed in the field (e.g., ship, mooring, drifters, floats, gliders etc.) Existing standard \u2022 Many navigational marine instruments implement NMEA 0183 or NMEA 2000, but the standard\u2019s restrictions to ASCII formats and a 4800 baud serial data bus have limited its application to \u201cscientific\u201d instruments. \u2022 Marine instrumentation most commonly uses serial links, so IEEE 1451.2 would apply. IEEE 1451.2 is fully compatible with an RS232 instrument, using the communication and measurement services described in IEEE 1451.0. Different protocols are addressed by different branches of the standard, for example,1451.2 for RS232, I C, and SPI; 1451.4 for analog sensors, 1451.6 for controller area network (CAN), etc. IEEE 1451 uses the term transducer interface module (TIM) to refer to a sensor or actuator, and a network capable application processor (NCAP) to mean a controller interfacing to one or more TIMs. Data from the non-IEEE 1451 instruments are processed to input data into an IEEE 1451.0 server. This server publishes data using the HTTP 1451 standard. \u2022 The IEEE 1451 Smart Sensor Interface Standard provides a common communications architecture with sensors over different communication protocols at the physical level. This standard has not yet been widely used, especially in marine sensors, and the lack of software tools for implementation limits its adoption. However, it has some capabilities that may be useful in marine networks. \u2022 Standard \u2022 In the measurement context considered here, the word \u201cstandard\u201d is used with two meanings. Firstly, it refers to a calibrationstandard \u2013 a method which is used to provide traceability back to a common benchmark. Secondly, it may refer to aspecificationstandard \u2013 a written procedure describing the method for undertaking a measurement. Here we propose specification standard, as calibration standards are comparatively better well established. Specification standards \u2022 Specification standards are documents describing procedures to be followed when undertaking measurements. The highest of such standards are international standards produced under the auspices of organisations such as ISO (International Organization for Standardization) and IEC (International Electrotechnical Commission).ISO produces standards which cover physical measurements; with regard to underwater acoustics including environmental noise or noise radiated from specific sources such as ships. IEC produces standards that cover electrical measurements, including the calibration of instruments such as hydrophones. ISO and IEC standards are typically adopted as national standards within member countries The need of standardisation of Instrument to Observing platform Standardizing the installation and operating processes can dramatically reduce costs, as well as the risk of failures due to manual errors. Standardization also facilitates easier maintenance and replacement of observatory instruments, and traceability of the data they generate. Standardization will ensure manufacturers a well-tested technology. \u2003 - , - Published - , - Current - , - Sea surface temperature - , - Sea state - , - Surface current - , - Subsurface current - , - Ocean surface stress - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/840", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/840", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/840", "url": "https:\/\/hdl.handle.net\/11329\/840" }, "contributor": [ { "@type": "Organization", "name": "Joint WMO\/IOC Technical Commission for Oceanography and Marine Meteorology" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere", "Drifting buoys and Moored buoys", "Moored buoys", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data transmission\/networking", "Data Management Practices::Data storage" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2544", "name": "IEC 60565-2:2019. Underwater acoustics - Hydrophones - Calibration of hydrophones - Part 2: Procedures for low frequency pressure calibration. Edition 1.", "description": " - IEC 60565-2:2019 specifies the methods for low frequency pressure calibration of hydrophones at frequencies from 0,01 Hz to several kilohertz depending on calibration method. IEC 60565-2:2019, together with IEC 60565-1, replaces the second edition of IEC 60565 published in 2006. This edition constitutes a technical revision. IEC 60565-2:2019 includes the following significant technical changes with respect to the previous edition. 1) IEC 60565 has been divided into two parts: \u2022 Part 1: Procedures for free-field calibration; \u2022 Part 2: Procedures for low frequency pressure calibration (this document). 2) A relative calibration method has been added to Clause 8: Calibration by piezoelectric compensation. 3) A relative calibration method has been added to Clause 11: Calibration by vibrating column. 4) Clause 12: Calibration by static pressure transducer, has been added. 5) Annex A: Equivalent circuit of the excitation system for calibration with a vibrating column, has been deleted. 6) Subclauses 9.6, 9.7 and 9.8 have been moved to form a new Annex A: Advanced acoustic coupler calibration methods. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2544", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2544", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2544", "url": "https:\/\/hdl.handle.net\/11329\/2544" }, "contributor": [ { "@type": "Organization", "name": "International Electrotechnical Commission (IEC)" } ], "keywords": [ "Transducers", "Hydrophone calibration", "Underwater acoustics", "Calibration", "Acoustics", "hydrophones" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2128", "name": "TechOceanS Sensor Development templates: Specification Document.", "description": " - The TechOceanS Sensor Development templates have been developed by the Ocean Technology and Engineering group at NOC and have been reviewed and used by partners in the project. The experience of the team has been crucial in defining the information required in these documents during the development of new technology. The User's Manual also includes the latest information included in sensor manuals, templates from the OBPS and recommendations in the ISO 22013. These templates are open to review from the wider community including metrologists, sensor developers, manufacturers and end users. To send your inputs, please, add the information to Google Drive folder (https:\/\/drive.google.com\/drive\/folders\/1lTlI2rHQLHtYl1yGhPniPm7mFE7ZGveD?usp=share_link). - , - EU; Technologies for Ocean Sensing (TechOceanS) project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2128", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2128", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2128", "url": "https:\/\/hdl.handle.net\/11329\/2128" }, "contributor": [ { "@type": "Organization", "name": "TechOceanS Consortium" } ], "keywords": [ "TechOceanS Project", "Document Templates", "Best practices", "Sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/174", "name": "Marine environmental data information referral catalogue (MEDI Catalogue). [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/165]", "description": " - This first edition of the Marine Environmental Data Information Referral Catalogue (MEDI Catalogue 1) has been prepared by the IOC in response to resolution IX-30 of the ninth session of the IOC Assembly. This catalogue supersedes the MEDI Pilot Catalogue published in 1976 (IOC Manuals and Guides 8) which was distributed to international organizations and their data centres participating in the pilot phase. Subsequently, the experience gained in compiling the MEDI Pilot Catalogue was used in the development of the fully operational referral system. - , - Published - , - Information source, Archive Media, Geographic Area - , - Multilingual document - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/174", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/174", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/174", "url": "https:\/\/hdl.handle.net\/11329\/174" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine environment", "Marine ecology", "Marine environment", "Information retrieval", "Information handling", "Information centres", "Marine environment", "Marine ecology", "Information retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1131", "name": "Developing collaborative marine turtle monitoring in the Kimberley region of northern Australia.", "description": " - Common to Indigenous land and sea management plans is the value placed on traditional ecological knowledge (TEK) and the articulation of how TEK and scientific methods can be brought together for better management. Livelihood opportunities based on natural resources are also an aspiration common to many communities, and goals aimed at overcoming economic, technical and\/or educational disadvantage typical of remote communities appear in these plans. Their implementation thus requires long-term investment in the achievement of both conservation outcomes (such as those arising from scientific surveys, research and ongoing management actions) and community development outcomes (including infrastructure, education and governance), as well as support for maintenance of cultural practices and knowledge. Marine turtles are of cultural and conservation significance to both Indigenous and non-Indigenous people in Australia. Six of the world\u2019s seven marine turtle species inhabit Australian waters. This study describes the process of establishing, in two sites in the Kimberley region of northern Australia, a participatory research project combining traditional, local and scientific knowledge to monitor marine turtles. While a detailed evaluation of the transect method and analysis of data collected during this project is beyond the scope of this study (and will be reported elsewhere), here we outline the steps taken to design the project and develop the survey method. - , - 3 - , - 4 - , - 8 - , - 14 - , - 16 - , - Marine turtles, birds, mammals abundance and distribution - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1131", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1131", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1131", "url": "https:\/\/hdl.handle.net\/11329\/1131" }, "author": [ { "@type": "Person", "name": "Jackson, Micha" }, { "@type": "Person", "name": "Kennett, Rod" }, { "@type": "Person", "name": "Bayliss, Peter" }, { "@type": "Person", "name": "Warren, Robert" }, { "@type": "Person", "name": "Waina, Neil" }, { "@type": "Person", "name": "Adams, Jason" }, { "@type": "Person", "name": "Cheinmora, Leonie" }, { "@type": "Person", "name": "Vigilante, Tom" }, { "@type": "Person", "name": "Jungine, Edmund" }, { "@type": "Person", "name": "Woolagoodja, Kirk" }, { "@type": "Person", "name": "Woolagoodja, Francis" }, { "@type": "Person", "name": "Umbagai, Jermaine" }, { "@type": "Person", "name": "Holmes, Jarrad" }, { "@type": "Person", "name": "Weisenberger, Frank" } ], "keywords": [ "Traditional Ecological Knowledge", "Indigenous engagement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2075", "name": "Standard Guidelines for the Tsunami Ready Recognition Programme.", "description": " - In December 2004, 227,8991 people lost their lives and around US$10 billion were estimated as overall economic losses in the 14 countries affected by the 9.1-magnitude Indian Ocean earthquake2. In response to the devastation caused by the earthquake and consecutive tsunami, the international community reinforced and expanded its initiatives to reduce the tsunami-related risk of coastal communities worldwide. In response, the Tsunami Unit of the Intergovernmental Oceanographic Commission of UNESCO (UNESCO\/IOC) was established. It aims to prevent the loss of lives and livelihoods that are caused by tsunamis, offering its support to IOC Member States in assessing tsunami risk, implementing Tsunami Early Warning Systems (EWS) and educating communities at risk about preparedness measures3. Since 2015, the UNESCO\/IOC has been promoting the Tsunami Ready Recognition Programme as an international performancebased community recognition pilot consisting of key actions that help to reduce tsunamirelated risks to individuals and communities. Through the Tsunami Ready Recognition Programme, communities become aware of the risks they face from tsunamis and take steps to address them. To support current and future pilots, UNESCO\/IOC commissioned the review and analysis of the Tsunami Ready Guidelines, which were initially established in the Caribbean, with the purpose of expanding the implementation of the programme globally. To this end, a desk-based review of all key documents and literature was conducted to assess the existing frameworks, documents and additional literature about the implementation of the Tsunami Ready Recognition Programme in different regions and countries. Likewise, interviews with experts on the Tsunami Ready Recognition Programme, as well as an online survey among relevant and experienced users, were conducted with the purpose of having a better understanding of the areas to be reinforced. This document presents the Standard Guidelines for the Tsunami Ready Recognition Programme based on the review process undertaken. After this introduction, the second section of this manual includes the framework and background information; the third section identifies key issues concerning the Tsunami Ready Recognition Programme and its methodological references; the fourth section presents the indicators to achieve the Tsunami Ready recognition, as well as the templates for requesting recognition; and finally, the fifth section contains the glossary of terms and a list of available tools and references to facilitate its implementation. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - International - , - Guidelines & Policies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2075", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2075", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2075", "url": "https:\/\/hdl.handle.net\/11329\/2075" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Tsunami warning system", "Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1828", "name": "Alaskan Inuit Food Security Conceptual Framework: How to assess the Arctic from an Inuit Perspective.", "description": " - Drastic changes are occurring within our world. We are on the forefront of these changes. We have lived here for millennia and have grown and changed with all that is around us. All that is around us physically and spiritually nourishes us, and our culture reflects the Arctic because we are part of this ecosystem. With these rapid changes comes the need for holistic information based on Indigenous Knowledge (IK) and science. With this understanding, we brought our concerns regarding the impact of Arctic changes on our food security to forums throughout the Arctic. Through these conversations, it quickly became evident that we were referring to something different than those we were holding the discussions with. We have often heard people within academia, policy and management speak to us of nutritional value, calories and money needed to purchase food. All of this is important, but not what we are talking about when we say food security. We are speaking about the entire Arctic ecosystem and the relationships between all components within. We are talking about how our language teaches us when, where and how to obtain, process, store and consume food; the importance of dancing and potlucks to share foods and how our economic system is tied to this. We are talking about our rights to govern how we obtain, process, store and consume food; about our IK and how it will aid in illuminating the changes that are occurring. We are talking about what food security means to us, to our people, to our environment and how we see this environment. We are talking about our culture. From the realization that we need to fully share what our food security means within the Alaska Arctic, this project was born. There has been a lot of positive work completed and work that is ongoing to increase academic and governmental understanding of food security. The outcomes of this project come directly from us, Alaskan Inuit, to share what our food security is, how to assess changes occurring and how to move forward in a way that will strengthen our food security. The objectives for the project were clear from the beginning \u2013 define food security, identify what the drivers (or causes) of food (in)security are, create a conceptual framework and provide an assessment process to determine Alaskan Inuit food security. What resulted is something much more. As we came together through community meetings, oneon- one and group interviews, regional workshops and numerous conversations, we realized that the drivers of our food security are all the same and that what make up food security within each of our identities, villages and regions is the same. - , - Published - , - Current - , - N\/A - , - Multi-organisational - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1828", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1828", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1828", "url": "https:\/\/hdl.handle.net\/11329\/1828" }, "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Inuit", "Indigenous communites", "Indigenous rights", "Indigenous knowledge", "Administration and dimensions", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/446", "name": "Best Practice Guidelines in the Development and Maintenance of Regional Marine Species Checklists, Version 1.0.", "description": " - Technical guides and work plans for best practices in creating species checklists (e.g., GBIF 2011) are available from the GBIF online resource center (http:\/\/www.gbif.org\/orc\/). These reports explain how to make best use of the dataset standard using Darwin Core term s, presenting and publishing checklists under the framework of Darwin Core Archive (DwC-A), and by using the Integrated Publishing Tool (IPT). The present document covers the more general aspects regarding checklists for marine regions. It outlines the steps required to compile distribution notes, to set up a register, and to produce a checklist, but also describes some of stumbling blocks that one might encounter along the way and offers suggestions on how to handle these issues - , - OBIS Canada\/Fisheries and Oceans Ca nada, EurOBIS\/VLIZ and the UNESCO\/IOC project office for IODE, Ostend, Belgium . - , - Published - , - Refereed - , - Current - , - 14.2 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/446", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/446", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/446", "url": "https:\/\/hdl.handle.net\/11329\/446" }, "author": [ { "@type": "Person", "name": "Noz\u00e8res, C." }, { "@type": "Person", "name": "Vandepitte, L." }, { "@type": "Person", "name": "Appeltans, W." }, { "@type": "Person", "name": "Kennedy, M." } ], "contributor": [ { "@type": "Organization", "name": "Global Biodiversity Information Facility" } ], "keywords": [ "GBIF", "Species checklist", "Darwin Core", "Taxa", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1188", "name": "Salinity Data Management Best Practices Workshop Report, August 3-4, 2005.", "description": " - The National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center hosted a workshop focused on data management for real-time in-situ salinity data in Charleston, South Carolina, during the first week of August 2005. Participants in the workshop included representatives from NOAA offices and representatives from regionally based coastal ocean observing systems. The workshop\u2019s goal was to create a \u201cbest practices\u201d guide for users who collect, manage, and archive real-time, in-situ salinity data. This guide would include three topical areas: 1. Accurate quality control of salinity data 2. Management of metadata 3. Effective data dissemination to various users Unfortunately, the goal was not quite met. Each of the workshop\u2019s topics required more in-depth discussions and debate than time allowed. Yet, the workshop made significant progress. The participants approved a concise set of quality control parameters for salinity. They narrowed the vast list of metadata parameters to a manageable level that future workshops can more fully address. Finally, the group formed a working group to focus on a data access and dissemination routine based on Web services. While salinity data will be the focus of this working group\u2019s efforts, the workshop attendees realize that data access and dissemination is a wide-ranging topical area that cuts across many oceanographic variables, and will require input and support from the broader coastal and oceanographic community. This report presents the results of the salinity workshop, as well as some recommendations for future, similar workshops. - , - NOAA Coastal Services Center - , - Published - , - Editor: Dave Eslinger - , - Non Refereed - , - Current - , - 14 - , - Sea surface salinity - , - Subsurface salinity - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1188", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1188", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1188", "url": "https:\/\/hdl.handle.net\/11329\/1188" }, "contributor": [ { "@type": "Organization", "name": "NOAA Coastal Services Center" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::salinometers", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data interoperability development", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/131", "name": "SOOP Basic ship visit and rider rules. [NO LONGER ABLE TO LINK TO THIS]", "description": " - guides; ships - , - The following guidelines pertain to any person who might have occasion to visit, install, repair or replace equipment, or ride on any Voluntary Observing Ship (VOS) participating in any program to collect scientific observations. Most of these guidelines are based upon common sense and respect for those who \u201clive\u201d on the vessel on which you may be visiting. Respect the fact that you are essentially being invited into their home as a guest and, as a guest, you want to be invited back. Our goal within the VOS Program has always been to minimize our shipboard impact as much as possible. These are not \u201cCruise Ships\u201d or \u201cResearch Vessels\u201d and we should always be prepared to take care of and meet our own needs and requirements. There are times, like departing or arriving in port or navigating congested waters that the bridge officers and crew have to concentrate on their own responsibilities and not ours. So, it is a good idea to leave them alone during this time. It is always a good idea to brief the Captain and Chief Engineer prior to departure as to just what your plans are and exactly what you will need from the bridge officer on watch (i.e. date, time and position, etc.). These guidelines are not just for the novitiate \u201cfirst timer\u201d, but also for those of us who have often visited or ridden on the same ship many times. It is certainly acceptable and beneficial to be knowledgeable about the ship\u2019s standard operation but don\u2019t become so familiar that you become complacent and forget the basic rules of respect. Always remember that you are a professional involved in the collection of important scientific information and you not only represent yourself, but also your organization (i.e. NOAA). . - , - http:\/\/www.jcommops.org\/soopip\/soopog-ship-visit.html - , - this document could be merged with all SOT documents into higher level - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/131", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/131", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/131", "url": "https:\/\/hdl.handle.net\/11329\/131" }, "author": [ { "@type": "Person", "name": "Cook, Steven" } ], "contributor": [ { "@type": "Organization", "name": "SOT" } ], "keywords": [ "VOS", "Voluntary observing ships", "Ship observation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1016", "name": "Marine Sediment Sample Pre-processing for Macroinvertebrates Metabarcoding: Mechanical Enrichment and Homogenization.", "description": " - Metabarcoding is an accurate and cost-effective technique that allows for simultaneous taxonomic identification of multiple environmental samples. Application of this technique to marine benthic macroinvertebrate biodiversity assessment for biomonitoring purposes requires standardization of laboratory and data analysis procedures. In this context, protocols for creation and sequencing of amplicon libraries and their related bioinformatics analysis have been recently published. However, a standardized protocol describing all previous steps (i.e., processing and manipulation of environmental samples for macroinvertebrate community characterization) is lacking. Here, we provide detailed procedures for benthic environmental sample collection, processing, enrichment for macroinvertebrates, homogenization, and subsequent DNA extraction for metabarcoding analysis. Since this is the first protocol of this kind, it should be of use to any researcher in this field, having the potential for improvement. - , - Refereed - , - Guide - , - 2016-06-15 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1016", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1016", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1016", "url": "https:\/\/hdl.handle.net\/11329\/1016" }, "author": [ { "@type": "Person", "name": "Aylagas, Eva" }, { "@type": "Person", "name": "Mendibil, I\u00f1aki" }, { "@type": "Person", "name": "Borja, \u00c1ngel" }, { "@type": "Person", "name": "Rodr\u00edguez-Ezpeleta, Naiara" } ], "keywords": [ "Environmental samples", "Laboratory procedures", "Sample manipulation", "DNA", "Biomonitoring", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/970", "name": "Observatory Performance Metrics Best Practices : a white paper from the observatory best practices\/lessons learned series.", "description": " - The focus of this paper is effective performance metrics development and how these metrics can improve management success. As best practices implementation objectives are defined, performance metrics can be developed to manage and measure progress toward best practice implementation. Performance metrics are developed within a hierarchy of observatory strategic long term and short term goals. This paper also provides example metrics for four observatory topic areas as a means to stimulate discussion of how metrics can be utilized in real-life scenarios. - , - The National Science Foundation - , - Unpublished - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/970", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/970", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/970", "url": "https:\/\/hdl.handle.net\/11329\/970" }, "author": [ { "@type": "Person", "name": "Kearney, Thomas D" }, { "@type": "Person", "name": "Smith, Leslie M" }, { "@type": "Person", "name": "Rutherford, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership" } ], "keywords": [ "Observatory Performance Metrics Best Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2576", "name": "User's Manual: Flexible Fluidics for Genomics, Module Operation. Version 1.0.", "description": " - This document is the User\u2019s Manual for the TechOceanS Flexible Fluidics Genomics Analysis System. The term \u2018System\u2019 refers to the collective use of Flexible Fluidics Modules and associated apparatus for the purpose of obtaining a purified DNA sample and analysing that DNA sample by nucleic acid amplification and fluorometric detection of a target sequence. It will describe the operational steps necessary to complete a genomics analysis, including DNA purification and DNA sequence amplification and detection on prototype desktop apparatus. This apparatus is intended for the validation of the flexible fluidics technology for the purpose of DNA purification and analysis, and as a \u2018tool\u2019 to assist the team in the development and optimisation of the technology. It does not constitute a fully functional or deployable system. The apparatus can be used with Flexible Fluidics modules for DNA purification and for DNA amplification for the measurement of a range of target species and covering many different applications; the relevant DNA amplification assays and chemistries have been designed, optimised and validated through the TechOceanS project. Information is given in the D3.1 and D8.1 reports. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Multi-organisational - , - Flexible Fluidics Genomics System (NOC) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2576", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2576", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2576", "url": "https:\/\/hdl.handle.net\/11329\/2576" }, "author": [ { "@type": "Person", "name": "McQuillan, J.S." }, { "@type": "Person", "name": "Bhuiyan, W.T." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Genomics analysis", "DNA samples", "Biological oceanography", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/242", "name": "ICES Guidelines for Profiling Float data. (Compiled January 2001; revised April 2006)", "description": " - Profiling floats are neutrally buoyant devices that periodically surface to transmit data to a satellite system. The float drifts along a specified pressure surface for some period of time (typically seven to 10 days) after which it surfaces. During the ascent, sensors attached to the float measure ocean parameters such as temperature and conductivity. While at the surface, the float transmits the data, along with curr ent float position and time information, to a satellite system. After a repeated transmission over a period of up to one day, the float descends to it predetermined pressure level (called also \u201cparking depth\u201d) and repeats the cycle. Floats were develop ed during the World Ocean Circulation Experiment (WOCE). Present day floats can obtain depths of 2000 m, and complete about 100 cycles. Accuracy of about 0.01 \uf0b0 C in temperature and 0.01 in salinity are obtainable. Profiling floats are now (2006) mainly de ployed as part of the ARGO project and data collected in this project must be supplied to one of the two ARGO global data cent res (Coriolis and US - GODAE servers) - , - Published - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/242", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/242", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/242", "url": "https:\/\/hdl.handle.net\/11329\/242" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Satellite sensing", "Observation", "Profiling floats", "Parameter Discipline::Physical oceanography", "Argo floats", "Satellite", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2607", "name": "Low-cost Marine Robotic Vehicles for Rapid Assessment of Submesoscale Ocean Processes.", "description": " - In this paper, we describe our experience with readily deployable, low-cost (c. Can$30k) underwater platforms and, in particular, with our application of this emerging class of platform to address the need to characterize episodic, continuously evolving, transient oceanographic events at the submesoscale. We focus on detailing the modifications made to a small remotely operated vehicle (ROV) and a micro-autonomous underwater vehicle (AUV) and demonstrating results from initial testing. Both vehicles have been designed for users conducting scientific research, supporting a variety of commonly used oceanographic sensors that can be quickly interchanged. Our choice of vehicle was restricted to platforms that could be acquired and used by research groups without requiring additional expensive infrastructure and\/or expert users. With the rapid increase in commercial options for such platforms over the last decade, we hope to further improve accessibility to their use by describing our experience with the design, integration, and testing of modular sensor and sampling payloads for these platforms. Our intention is to demonstrate the potential of these platforms to advance ocean research capability and broaden its community of practitioners. We highlight the associated need and potential for developments in the area of sensing and sampling to match opportunities provided by these technologies. - , - Refereed - , - 14.a - , - Concept - , - Novel (no adoption outside originators) - , - Fluorometer (chlorophyll) - Turner Designs - , - Temperature sensor - Blue Robotics - , - Oxygen sensor - Aanderaa Data Instruments - , - CT sensor - AML Oceanographic - , - pH sensor - Sea-Bird Scientific - , - Fluorometer (turbidity) - Turner Designs - , - Fluorometer (crude oil) - Turner Designs - , - Fluorometer (crude oil, chlorophyll, backscatter) - Sea-Bird Scientific - , - Fluorometer (crude oil) - Chelsea Technologies - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2607", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2607", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2607", "url": "https:\/\/hdl.handle.net\/11329\/2607" }, "author": [ { "@type": "Person", "name": "Chua, Allison" }, { "@type": "Person", "name": "MacNeill, Aaron" }, { "@type": "Person", "name": "Wallace, Douglas" } ], "keywords": [ "Autonomous Underwater Vehicle (AUV)", "Remotely Operated Vehicle (ROV)", "Ocean science", "Low cost equipment", "Cross-discipline", "CTD", "dead reckoning", "inertial navigation systems", "discrete water samplers", "fluorometers", "dissolved gas sensors", "pH sensors", "underwater cameras", "satellite positioning systems", "water temperature sensor", "Data acquisition", "Data analysis", "Data visualization", "Data aggregation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/501", "name": "Policies and Best Practices: Marine Mammal Response, Rehabilitation, and Release: standards for release.", "description": " - Rescue, rehabilitation, and release of wild marine mammals is allowed for authorized individuals under listed conditions by the Marine Mammal Protection Act (MMPA) [16 U.S.C. 1379 \u00a7 109(h)]. Section 402(a) of Title IV of the MMPA specifically mandates that \u201cThe Secretary shall... provide guidance for determining at what point a rehabilitate d marine mammal is releasable to the wild\u201d [16 U.S.C. 1421 \u00a7402(a)]. This document fulfills the statutory mandate and is not intended to replace marine mammal laws or regulations. In accordance with the MMPA, these guidelines were developed by the National Oceanic and Atmospheric Administration\u2019s (NOAA) National Marine Fisheries Service (NMFS) and the U.S. Fish and Wildlife Service (FWS) in consultation with marine mammal experts through review and public comment on the 1997 draft NOAA Technical Memorandum \u201cRelease of Stranded Marine Mammals to the Wild: Background, Preparation, and Release Criteria.\u201d Comments from the public review process and other outstanding issues were compile d by NMFS and FWS. The agencies consulted with experts in three areas: cetaceans, pinnipeds a nd sea otters, and manatees. The experts reviewed and discussed the public comments and provided individual recommendations. This current document encompasses revisions and updates to the 1997 draft and is titled differently. These guidelines provide an evaluative process to help determine if a stranded wild marine mammal, following a course of treatment and rehabilitation, is suitable for release to the wild. These guidelines describe \u201cRelease Categories\u201d for rehabilitated marine mammals of each taxonomic group (i.e., cetaceans, pinnipeds, manatees, sea otters and polar bears). After completing a thorough assessment as prescribed, the release candidates are to be assigned to a Release Category as follows: Releasable , Conditionally Releasable, Conditionally Non-releasable (Manatees only) , and Non-releasable . This document establishes essential release criteria that trained experts should use to determine whether or not individual animals are healthy enough to release into the wild. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Marine turtles, birds, mammals abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/501", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/501", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/501", "url": "https:\/\/hdl.handle.net\/11329\/501" }, "author": [ { "@type": "Person", "name": "Whaley, Janet E." }, { "@type": "Person", "name": "Borkowski, Rose" } ], "contributor": [ { "@type": "Organization", "name": "NOAA National Marine Fisheries Service Marine Mammal Health and Stranding Response Program" } ], "keywords": [ "Marine mammals", "Strandings", "Parameter Discipline::Biological oceanography::Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2508", "name": "ASTM D859-16(2021)e1. Standard Test Method for Silica in Water.", "description": " - 1.1 This test method covers the determination of silica in water and waste water; however, the analyst should recognize that the precision and accuracy statements for reagent water solutions may not apply to waters of different matrices. 1.2 This test method is a colorimetric method that determines molybdate-reactive silica. It is applicable to most waters, but some waters may require filtration and dilution to remove interferences from color and turbidity. This test method is useful for concentrations as low as 20 \u03bcg\/L. 1.3 This test method covers the photometric determination of molybdate-reactive silica in water. Due to the complexity of silica chemistry, the form of silica measured is defined by the analytical method as molybdate-reactive silica. Those forms of silica that are molybdate-reactive include dissolved simple silicates, monomeric silica and silicic acid, and an undetermined fraction of polymeric silica. 1.4 The useful range of this test method is from 20 to 1000 \u03bcg\/L at the higher wavelength (815 nm) and 0.1 to 5 mg\/L at the lower wavelength (640 nm). It is particularly applicable to treated industrial waters. It may be applied to natural waters and wastewaters following filtration or dilution, or both. For seawater or brines, this test method is applicable only if matched matrix standards or standard addition techniques are employed. 1.5 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard. 1.6 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. NOTE 1: For many natural waters, a measurement of molybdate-reactive silica by this test method provides a close approximation of total silica, and, in practice, the colorimetric method is frequently substituted for other more time-consuming techniques. This is acceptable when, as frequently occurs, the molybdate-reactive silica is in the milligram per litre concentration range while the nonmolybdate-reactive silica, if present at all, is in the microgram per litre concentration range. 1.7 Former Test Method A (Gravimetric\u2014Total Silica) was discontinued. Refer to Appendix X1 for historical information. 1.8 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2508", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2508", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2508", "url": "https:\/\/hdl.handle.net\/11329\/2508" }, "contributor": [ { "@type": "Organization", "name": "ASTM International" } ], "keywords": [ "Silica", "Nutrients", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1345", "name": "Protocol for IMOS zooplankton sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures \u2013 Protocol for IMOS zooplankton sample collection - , - Published - , - Current - , - 14.A - , - Zooplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1345", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1345", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1345", "url": "https:\/\/hdl.handle.net\/11329\/1345" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Biogeochemical water sampling", "Zooplankton", "IMOS", "Training video", "Parameter Discipline::Biological oceanography::Zooplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2472", "name": "HELCOM Monitoring Programme topic Litter. Programme: Macrolitter characteristics and abundance\/volume \u2013 Beach litter.", "description": " - The monitoring of beach litter started for most HELCOM countries in 2012, and has continued regularly since then. However, the countries have until now used different monitoring protocols for identifying and reporting beach litter items, i.e. MARLIN\/UNEP protocol, OSPAR protocol and to some extent nationally adapted protocols to EU TGML\/JRCs joint category list for marine litter items. Thus, data are not fully harmonized and can in Baltic wide assessments mainly be compared at the material category level and not for all relevant types of litter items. Furthermore, monitoring is not nationally coordinated in one country and in one country monitoring is based on scientific projects data only and not yet conducted continuously. The network of monitoring stations has expanded since 2015, which together with the suggested coordinated monitoring program will provide a more complete and coherent image of the extent of beach litter items found in the different sub-regions. The monitoring program will also allow for a reliable input of monitoring data resulting in scientific conclusions based on a solid knowledgebase and as a consequence, the assessment of the pressure will be done with more certainty. Monitoring can be performed on different types of beaches, i.e. rural, urban or peri-urban beaches, that can provide knowledge on different types of sources of litter. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2472", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2472", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2472", "url": "https:\/\/hdl.handle.net\/11329\/2472" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Beach litter", "Monitoring protocols", "Marine Strategy Framework Directive (MSFD)", "Macrolitter", "Monitoring guidelines", "Anthropogenic contamination", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/413", "name": "Ocean Data Standards Volume 3. Recommendation for a Quality Flag Scheme for the Exchange of Oceanographic and Marine Meteorological Data. Version 1.", "description": " - ...This document describes a two-level quality flag scheme (QF) that will facilitate the exchange and integration of multi-disciplinary oceanographic and marine meteorological data. The first, or primary, level defines the data quality flags only, while the secondary level complements the first level by providing the justification for the quality flags, based on quality control tests or data processing history. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/413", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/413", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/413", "url": "https:\/\/hdl.handle.net\/11329\/413" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Quality flag system", "ISO Country codes", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2445", "name": "Best practices for Core Argo floats - part 1: getting started and data considerations.", "description": " - Argo floats have been deployed in the global ocean for over 20 years. The Core mission of the Argo program (Core Argo) has contributed well over 2 million profiles of salinity and temperature of the upper 2000 m of the water column for a variety of operational and scientific applications. Core Argo floats have evolved such that the program currently consists of more than eight types of Core Argo float, some of which belong to second or third generation developments, three unique satellite communication systems (Argos, Iridium and Beidou) and two types of Conductivity, Temperature and Depth (CTD) sensor systems (Seabird and RBR). This, together with a well-established data management system, delayed mode data quality control, FAIR and open data access, make the program a very successful ocean observing network. Here we present Part 1 of the Best Practices for Core Argo floats in terms of how users can get started in the program, recommended metadata parameters and the data management system. The objective is to encourage new and developing scientists, research teams and institutions to contribute to the OneArgo Program, specifically to the Core Argo mission. Only by leveraging sustained contributions from current Core Argo float groups with new and emerging Argo teams and users who are eager to get involved and are actively encouraged to do so, can the OneArgo initiative be realized. This paper presents a list of best practices to get started in the program, set up the recommended metadata, implement the data management system with the aim to encourage new scientists, countries and research teams to contribute to the OneArgo Program. - , - Refereed - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - 2024-03-27 - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Argo floats - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2445", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2445", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2445", "url": "https:\/\/hdl.handle.net\/11329\/2445" }, "author": [ { "@type": "Person", "name": "Morris, Tamaryn" }, { "@type": "Person", "name": "Scanderbeg, Megan" }, { "@type": "Person", "name": "West-Mack, Deborah" }, { "@type": "Person", "name": "Gourcuff, Claire" }, { "@type": "Person", "name": "Poffa, Noe\u00b4" }, { "@type": "Person", "name": "Bhaskar, T.V.S.U." }, { "@type": "Person", "name": "Hanstein, Craig" }, { "@type": "Person", "name": "Diggs, Steve" }, { "@type": "Person", "name": "Talley, Lynne" }, { "@type": "Person", "name": "Turpin, Victor" }, { "@type": "Person", "name": "Liu, Zenghong" }, { "@type": "Person", "name": "Owens, Breck" } ], "keywords": [ "OneArgo Programme", "Core Argo floats", "Reference data", "Data citation", "OneArgo Programme", "Data quality management", "Data acquisition", "Water column temperature and salinity", "CTD", "Metadata management", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2459", "name": "BIAS Standards for noise measurements. Background information, Guidelines and Quality Assurance. Amended version. 2015.", "description": " - These standards were developed in the LIFE+ project BIAS with the intention to be used for long-term measurements of continuous underwater noise. The aim of the standards is to specify the data acquisition process for underwater sound management. These guidelines are based on the experience of the project partners (beneficiaries) of the BIAS project next to following recommendations from publicly available guidelines such as the report of the technical sub-group of Underwater Noise (Van der Graaf et al., 2012), the offshore wind farms measurement instruction for underwater sound monitoring (M\u00fcller-BBM, 2011), the TNO reports TNO-DV 2011 C235 (TNO, 2011a) and TNO-DV 2011 C251 (TNO, 2011b) and the NPL good practice guide for underwater noise measurements (Robinson et al., 2014). The BIAS guidelines intend to summarize former published experiences and adapting them to the purpose of the BIAS project. Most of the above mentioned public reports are prepared in the light of underwater sound measurements during offshore wind farm construction while BIAS focuses on ambient noise measurements from shipping. The document consists of nine chapters including appendixes. The first two give an introduction and the scope of this document, while Chapter C is giving background on underwater sound and how aquatic animals perceive sound, as well as on sound measurements, hardware specifications for sound recording systems, their calibration and insights into sound mapping as a way to predict sound levels in time and space. In Chapter D, acoustic terms and quantities are defined, while Chapter E comprises the standards on hardware specifications, handling sensors, rig designs, deployment and standards on handling data as developed for the BIAS project. After the reference chapter, the last three chapters offer tick- and checklists (G. Appendix A), which can be used or adapted to the readers\u2019 own purposes, manuals for specific equipment (H. Appendix B), and protocols (I. Appendix C) used for the BIAS project. The later are helpful for quality assurance when conducting underwater noise measurements. This work is in compliance with the Marine Strategy Framework Directive (MSFD). The main goal of the Marine Directive is to achieve a Good Environmental Status (GES) of EU marine waters by 2020. With regards to underwater noise, Descriptor 11 of the MSFD describes that a GES is achieved when the introduction of energy, including underwater noise, is at levels that do not adversely affect the marine environment. For implementing this, a monitoring programme has to be established observing the current level and any trend of ambient sound in European seas. Defining acoustical parameters as well as establishing standards facilitates a regional marine environmental management of underwater sound by guaranteeing compatible and quality-assured data. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Pilot or Demonstrated - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2459", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2459", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2459", "url": "https:\/\/hdl.handle.net\/11329\/2459" }, "author": [ { "@type": "Person", "name": "Verfuss, U.K." }, { "@type": "Person", "name": "Andersson, M." }, { "@type": "Person", "name": "Folegot, T." }, { "@type": "Person", "name": "Laanearu, J." }, { "@type": "Person", "name": "Matuschek, R." }, { "@type": "Person", "name": "Pajala, J." }, { "@type": "Person", "name": "Sigray, P." }, { "@type": "Person", "name": "Tegowski, J." }, { "@type": "Person", "name": "Tougaard, J." } ], "contributor": [ { "@type": "Organization", "name": "BIAS - Baltic Sea Information on the Acoustic Soundscape" } ], "keywords": [ "Underwater sound", "Underwater noise", "Acoustic surveys", "Sound speed", "Acoustic sensors", "Quality assurance", "Biological surveys", "Acoustics", "sound velocity sensors", "acoustic tracking systems", "Data acquisition", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1972", "name": "Final Report. Sustainable model for Arctic Regional Tourism.", "description": " - he purpose of the Sustainable model for Arctic Regional Tourism (SMART) \u2013 project was to assist the arctic tourism sector, mainly local small- to medium-sized tourism businesses (SMEs) and other local stakeholders to develop positive economic, social and environmental benefits from tourism based on the cultural and natural environment of the North. The project\u2019s goal was to create resources, tools and incentives that can be used by northern and arctic tourism SMEs and other local players in tourism development as well as to create professional training to assist the tourism sector in their respective area. During the SMART -project, six basic principles for sustainable arctic tourism were created from existing principles and other sources of information. Based on the principles, a Trainer\u2019s manual containing six training modules of sustainable tourism were created for the tourism companies. Interviews were made within the project\u2019s pilot tourism companies and good business practises collected on actions that represent sustainable tourism, as it is defined in this project via the sustainable arctic tourism principles and their guidelines. Plans for a common arctic sustainable tourism label were made during the project and the partners decided to recommend using the Swedish ecotourism label, Nature\u2019s Best, as a model for the Arctic countries and regions to be adapted for the tourism industry. An initial review of the model was done in northern Finland, in Nunavut and North-West Territories of Canada as well as in Kamchatka, Russia. The model has also been introduced to the Alaskan tourism industry. The Sustainable Arctic Tourism Association (SATA) was established in October 2005 to continue the development and promotion of sustainable tourism in the Arctic and to formalize the circumpolar network of tourism stakeholders that has been built up over the past several years. The association provides a forum for sustainable arctic tourism operators and other stakeholders to share their expertise and opinions. - , - Arctic Council's Sustainable Development Working Group - , - Published - , - Current - , - 8.2 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1972", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1972", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1972", "url": "https:\/\/hdl.handle.net\/11329\/1972" }, "author": [ { "@type": "Person", "name": "Vaarala, Mirkka" } ], "contributor": [ { "@type": "Organization", "name": "State Provincial Office of Lapland and Kemi-Tornio University of Applied Sciences, Finland." } ], "keywords": [ "Tourism", "Sustainable tourism", "Economic development", "Cross-discipline", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1528", "name": "Adapting open-source drone autopilots for real-time iceberg observations.", "description": " - Drone autopilots are naturally suited for real-time iceberg tracking as they measure position and orientation (pitch, roll, and heading) and they transmit these data to a ground station. We powered an ArduPilot Mega (APM) 2.6 with a 5V 11 Ah lithium ion battery (a smartphone power bank), placed the APM and battery in a waterproof sportsman\u2019s box, and tossed the box and its contents by hand onto an 80 m-long iceberg from an 8 m boat. The data stream could be viewed on a laptop, which greatly enhanced safety while collecting conductivity\/ temperature\/depth (CTD) profiles from the small boat in the iceberg\u2019s vicinity. The 10 s position data allowed us to compute the distance of each CTD profile to the iceberg, which is necessary to determine if a given CTD profile was collected within the iceberg\u2019s meltwater plume. The APM position data greatly reduced position uncertainty when compared to 5 min position data obtained from a Spot Trace unit. The APM functioned for over 10 h without depleting the battery. We describe the specific hardware used and the software settings necessary to use the APM as a real-time iceberg tracker. Furthermore, the methods described here apply to all Ardupilot-compatible autopilots. Given the low cost ($90) and ease of use, drone autopilots like the APM should be included as another tool for studying iceberg motion and for enhancing safety of marine operations. - Commercial off-the-shelf iceberg trackers are typically configured to record positions over relatively long intervals (months to years) and are not well-suited for short-term (hours to few days), high-frequency monitoring - Drone autopilots are cheap and provide high-frequency (>1 Hz) and real-time information about iceberg drift and orientation - Drone autopilots and ground control software can be easily adapted to studies of iceberg-ocean interactions and operational iceberg management - , - Refereed - , - 14.A - , - Sea ice - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1528", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1528", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1528", "url": "https:\/\/hdl.handle.net\/11329\/1528" }, "author": [ { "@type": "Person", "name": "Carlson, Daniel F." }, { "@type": "Person", "name": "Rysgaarda, S\u00f8ren" } ], "keywords": [ "Drone", "Iceberg tracking", "Iceberg drift" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/327", "name": "Microstructure Measurements around Deep Sea Floor - direct measurements of the deep-sea turbulence flow. Version 1, 28 Feb 2017.", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/327", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/327", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/327", "url": "https:\/\/hdl.handle.net\/11329\/327" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Edokko Mark 1", "International SeaBed Authority", "Mining effects", "Mineral resources", "Image analysis", "Environmental impact assessment", "Flow measurement", "Suspended particulate matter", "Hydrothermal fluids", "Bottom mixed layer", "Turbidity measurement", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1369", "name": "Manual for Real-Time Quality Control of In-situ Temperature and Salinity Data: Version 2.1.", "description": " - This manual documents a series of test procedures for data quality control of in-situ temperature and salinity sensors. In-situ temperature and salinity observations covered by these procedures are collected in oceans, coastal waters, and lakes, and disseminated in real time . The manual was first published in June 2013 and updated in 2016. - , - Published - , - Refereed - , - Current - , - 14 - , - Sea surface salinity - , - Subsurface salinity - , - Sea surface temperature - , - Subsurface temperature - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1369", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1369", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1369", "url": "https:\/\/hdl.handle.net\/11329\/1369" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System," } ], "keywords": [ "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::salinity sensor", "Instrument Type Vocabulary::thermistor chains", "Instrument Type Vocabulary::thermosalinographs", "Instrument Type Vocabulary::water temperature sensor", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1979", "name": "Approaching Trust: Case Studies for Developing Global Research Infrastructures.", "description": " - Research is a global endeavor of iteration and collaboration. Research requires trust-building: shared understanding of process, access to source data, and points of validation. A number of trust structures are used by researchers: disciplinary societies cohere practices among researchers, educational degrees and institutional affiliation are proxies of trust, as is publication of research findings in status journals (Haak and Wagner, 2021). These trust structures require interactions among many stakeholder groups, operating within and across disciplines, institutions, and countries. This is where research infrastructures come into play. These infrastructures support knowledge sharing across stakeholder borders, and at the best of times create a foundation for collaboration (Edwards et al., 2013; Haak et al., 2020). Examples of globalscale research infrastructures include article indexing platforms, researcher profile systems, federated identity systems, data repositories, and global data collection systems. More recently, the research community has started to pay more interest to the governance and sustainability aspects of these infrastructures (Bilder et al., 2020; Skinner, 2019). Organizations such as the Research Data Alliance have fostered cross-disciplinary self-organization of community stakeholders, out of which have come truly amazing consensus rules of behavior\u2014principles of findability and accessibility (Wilkinson et al., 2016), as well as responsibility and ethics (Carroll et al., 2020)\u2014that can be applied to infrastructures to improve research rigor and reproducibility and ultimately improve trust and engagement in the research process. In this article, we share our \u201cin the trenches\u201d experiences of how these principles, when applied in practice, can drive research infrastructure adoption. Infrastructure is more than a platform, it is a public good, so we need to ensure its accessibility and sustainability. How it is constructed, governed, and maintained requires intentional engagement and alignment of diverse stakeholders across social and economic factors to maximize trust, utility and impact on public welfare (Dhanshyam and Srivastava, 2021). What we have found is that without alignment and engagement, trust-building suffers. The lower the trust\u2014even for a really strong technology that is desperately needed by the research community\u2014the steeper the uphill push to adopt and implement the infrastructure. - , - Refereed - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1979", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1979", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1979", "url": "https:\/\/hdl.handle.net\/11329\/1979" }, "author": [ { "@type": "Person", "name": "Flanagan, Heather" }, { "@type": "Person", "name": "Haak, Laurel" }, { "@type": "Person", "name": "Paglione, Laura" } ], "keywords": [ "Research infrastructures", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2425", "name": "Iliad Deliverable D6.1 \u2013 Existing System Analysis Report.", "description": " - The goals of this informational and analytical report are \u2022 To summarise the various ILIAD partner base systems that possess front-end interfaces; \u2022 To analyse the strong user experience (UX) and user interface (UI) elements these base systems possess; \u2022 To learn lessons for the further development of UX \/ UI designs of digital twins of the ocean both within and beyond Work Package 6 of the ILIAD project. \u2022 To suggest UX \/ UI opportunities for these base systems and the design and development of digital twins of the ocean more generally. To that end, the report offers 13 lessons on user experience and interface design derived from the analysis of nine base systems brought into the ILIAD project by its partners. As each lesson has its own chapter, and the chapter title is the lesson itself, we do not summarize the lessons here as well. The report additionally offers key identified user experience and interface design opportunities for these base systems. These lessons and opportunities will be brought along as Work Package 6 as well as the ILIAD project more generally continue with their end-user experience and interface design and development efforts. The appendices offer more information on the user experience and interface designs of each base system itself - , - European Union H2020 - , - Published - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2425", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2425", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2425", "url": "https:\/\/hdl.handle.net\/11329\/2425" }, "author": [ { "@type": "Person", "name": "Warmelink, Harald" }, { "@type": "Person", "name": "Lhuissier, Marie" }, { "@type": "Person", "name": "Zabala, Alaitz" }, { "@type": "Person", "name": "Mas\u00f3, Joan" }, { "@type": "Person", "name": "Goddard, Jonny" }, { "@type": "Person", "name": "Keeble, Simon" }, { "@type": "Person", "name": "Lopez, Javiera" } ], "contributor": [ { "@type": "Organization", "name": "Iliad Project" } ], "keywords": [ "User experience design", "User interface design", "Geographic Information System (GIS)", "Iliad", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/101", "name": "Verification of operational global and regional wave forecasting systems against measurements from moored buoys.", "description": " - wave forecasting; moored buoys - , - The purpose of this JCOMM Technical Report is to document the global wave model verification activity, giving details of the working mechanism and file formats so that modeling centres not yet engaged may judge whether or not they should participate. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-30\/J-TR-30.pdf - , - Publication OK - expanding project to include satellite data. should be reviewed as a second priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/101", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/101", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/101", "url": "https:\/\/hdl.handle.net\/11329\/101" }, "author": [ { "@type": "Person", "name": "Bidlot, J-R." }, { "@type": "Person", "name": "Holt, M.W." } ], "contributor": [ { "@type": "Organization", "name": "WMO & IOC" } ], "keywords": [ "Wave forecast moored buoy" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2165", "name": "Strategic Development Challenges in Marine Tourism in Nunavut.", "description": " - Marine tourism in Arctic Canada has grown substantially since 2005. Though there are social, economic and cultural opportunities associated with industry growth, climate change and a range of environmental risks and other problems present significant management challenges. This paper describes the growth in cruise tourism and pleasure craft travel in Canada's Nunavut Territory and then outlines issues and concerns related to existing management of both cruise and pleasure craft tourism. Strengths and areas for improvement are identified and recommendations for enhancing the cruise and pleasure craft governance regimes through strategic management are provided. Key strategic approaches discussed are: (1) streamlining the regulatory framework; (2) improving marine tourism data collection and analysis for decision-making; and (3) developing site guidelines and behaviour guidelines. - , - Refereed - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2165", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2165", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2165", "url": "https:\/\/hdl.handle.net\/11329\/2165" }, "author": [ { "@type": "Person", "name": "Johnston, Margaret E." }, { "@type": "Person", "name": "Dawson, Jackie" }, { "@type": "Person", "name": "Maher, Patrick T." } ], "keywords": [ "Marine tourism", "Cruise ships", "Pleasure craft", "Human activity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/778", "name": "Use of, Satisfaction with, and Requirements for In Situ Salinity Sensors.", "description": " - The fundamental goal was to assess user needs and applications and to provide the focus for an Alliance for Coastal Technologies (ACT, www.act-us.info) Technology Verification of conductivity and temperature sensors that provide in situ measurements of salinity. We are aware that values for salinity are often presented in a variety of ways (e.g., ppt, psu, pss, mg\/l and \u03bcS\/cm) with some more appropriate than others. However, the goal of this Customer Needs and Use Assessment is to better understand how salinity sensors are used, and not to promote a specific approach to recording\/reporting salinity values. We hope this information can also assist manufacturers in refining salinity sensor technologies to better address user priorities. - , - Published - , - Refereed - , - Current - , - Sub surface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/778", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/778", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/778", "url": "https:\/\/hdl.handle.net\/11329\/778" }, "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/695", "name": "Benthic communities: Use in monitoring point-source discharges.", "description": " - The response to a request from the ICES Advisory Committee on Marine Pollution (ACMP) for advice on this topic has been structured along the following lines: Section A - a general review of benthic studies in relation to pollution. This was felt to be important in view of increasing interest in the application of a variety of biological effects techniques, as benthic communities represent only one of many possible targets in the study of the effects of point-source discharges. The account also addresses the issues raised concerning the nature and significance of observed responses; Section B - guidelines for the conduct of benthic monitoring programmes around point-source discharges; Section C - examples of effective survey design; and Section D - a review of the use of meiofauna in pollution studies; this is a relatively new area of application, and was felt to warrant separate treatment. The benthic biota possess a number of important attributes which justify their inclusion in the majority of marine monitoring programmes concerned with biological impact. For example, they are intimately associated with the seabed for much for their life-cycle; this environment is an appropriate target, because sediments act as the ultimate sink for most contaminants dis- charged into the sea. Added to this, their relative immobility (and consequent comparative ease of quantitative sampling), and long life span (commonly exceeding one year) requires that they must adapt to repeated additions of waste inputs. The monitoring of benthic communities, especially over several years, represents the most suitable direct method presently available for assessing changes in coastal marine ecosystems. However, the application of alternative measures of impact at a variety of levels of biological organisation deserves continuing encouragement, because no single measure has yet been devised which can be used to predict effects on the marine ecosystem as a whole. Such measures should, as far as possible, be integrated with field studies of benthic communities. Assessments as to the wider significance of benthic changes may embrace aesthetic and conservation interests, as well as those relating to fishery resources. Clearly, the science of benthic ecology cannot in isolation address all these matters, but it can make a valuable contribution to the decision-making process. For example, many studies show that effects on the benthos are not widespread, but are confined near to inputs. Such 'negative' findings, which may be unap- pealing as a scientific outcome, do much to assuage concern over the wider impact of controlled waste disposal to sea, in as much as a limited change in a benthic community implies a similarly limited change in dependent biota, such as demersal fish. However, important gaps still remain in our general understanding of the interactions of benthic communities with other ecosystem components, and improvements in this area would heighten confidence in predictions of the consequences of benthic changes. The types of benthic community responses presently suitable for the measurement of impact have been identified, along with those having future potential but requiring further methodological research. The precise and accurate measurement of such responses is governed by decisions regarding the type of equipment to use, the number of replicates, and the sampling design. These are invariably site-specific and, as a result, the account provides detailed guidance, but not a general 'blue-print', for the conduct of benthic surveys around point-source discharges. Close attention to field sampling strategy is, therefore, critical to the success of monitoring programmes; this is underscored by the fact that most of the cost attached to benthic surveys occurs at the stage of sampling and (with the added constraint of time) in the laboratory analysis of these samples. Such cost limitations do not generally apply to data analysis, especially given the wide availability of computers and tailored software, so that the application of a range of complementary measures of data structure could be recommended. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/695", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/695", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/695", "url": "https:\/\/hdl.handle.net\/11329\/695" }, "author": [ { "@type": "Person", "name": "Rees, H. L." }, { "@type": "Person", "name": "Heip, C." }, { "@type": "Person", "name": "Vincx, M." }, { "@type": "Person", "name": "Parker, M. M." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1579", "name": "Guidance on Coastal Character Assessment.", "description": " - Coastal character assessment informs and guides coastal and marine planning, and individual development proposals, by informing landscape\/seascape and visual impact assessments. This guidance presents the methodology on how to undertake coastal character assessment to provide baseline information that complements terrestrial landscape character assessment in Scotland. It clearly sets out this well-established characterisation method, emphasises its wider applicability and gives examples of its application. - , - Naturscot; Scottish Natural Heritage - , - Published - , - Current - , - 14.a - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1579", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1579", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1579", "url": "https:\/\/hdl.handle.net\/11329\/1579" }, "author": [ { "@type": "Person", "name": "Anderson, Carol" } ], "contributor": [ { "@type": "Organization", "name": "Scottish National Heritage" } ], "keywords": [ "Seascape assesssment", "Coastal zone management", "Marine spatial planning", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2026", "name": "Guidelines for the monitoring of marinas.", "description": " - NIS monitoring in major commercial ports has been guided by the Joint Harmonized Procedure of the HELCOM and OSPAR (HELCOM & OSPAR, 2013). However, monitoring of marinas has received less attention until now. PVC fouling plates and scraping samples have been commonly used to detect the presence of fouling species in a variety of coastal environments (Murray et al., 2011; Maraffini et al., 2017; Ulman et al., 2017; Outinen et al., 2019). They provide a standardized sampling method for fouling organisms, including macroinvertebrates and mollusks. Plastic fouling plates provide horizontal attachment surfaces for fouling organisms, whereas a hand-held scraping net can be applied to artificial vertical structures in marinas. The aim of these guidelines is to provide instructions for the sampling of marinas in the Baltic Sea region. As recreational vessels do not use ballast water, the protocol concentrates on the detection of fouling species. The recorded data contributes to the assessment of the HELCOM core indicator \u2018Trends in arrival of non-indigenous species\u2019, which compares the regional diversity of NIS at temporal intervals to a baseline and evaluates the status relative to previous intervals. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2026", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2026", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2026", "url": "https:\/\/hdl.handle.net\/11329\/2026" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Fouling organisms", "Non-Indigenous species", "Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/165", "name": "Marine environmental data information referral catalogue (MEDI catalogue). Third edition, 1993. [OBSOLETE]", "description": " - The Marine Environmental Data Information Referral Catalogue contains technical descriptions of marine data holdings of participating organizations in standardized form. The purpose of MEDI is to enhance the service capabilities of marine data centres by providing users with information on the location and availability of environmental data held by organizations and institutions around the world. - , - OBSOLETE. . Refer to JCOMM ETDMP - , - Published - , - environmental data centre, data catalogue - , - Third Edition : Multilingual document - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/165", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/165", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/165", "url": "https:\/\/hdl.handle.net\/11329\/165" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine environment", "Marine environment", "Sensors", "Environmental monitoring", "Environmental assessment", "Environment management", "Environments", "Environmental surveys", "Monitoring", "Monitoring systems", "Data collections", "Data acquisition", "Data transmission", "Data processing", "Catalogues", "Marine environment", "Sensors", "Environmental monitoring", "Monitoring", "Environmental assessment", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1826", "name": "People of the Ice Bridge: the future of the Pikialasorsuaq.", "description": " - Kalaallisut (West Greenlandic) name for the North Water polynya shared by Canada and Greenland. Polynyas are areas of open water that remain ice-free throughout the winter due to ocean and wind currents. They are incredibly rich, diverse areas teaming with marine life, in part as a result of the upwelling of nutrient-rich waters. The Pikialasorsuaq is the largest polynya in the Arctic and the most biologically productive region north of the Arctic Circle. This ecosystem has supported Inuit for millennia and is central to Inuit hunting and harvesting. Inuit on both the Canadian and Greenlandic sides of the Pikialasorsuaq have recognized the area as critical habitat for many migratory species upon which they depend for their food security as well as cultural and spiritual connections. In short, the health of the Pikialasorsuaq directly influences the health and well-being of Inuit communities in the Pikialasorsuaq region. The Pikialasorsuaq is seriously threatened by rapid change in the region including climatic and environmental change, increased shipping activities, tourism, oil and gas exploration and development. In recent years, the northern ice bridge in Kane Basin that influences the formation of the polynya has become less stable and as a result, the polynya less defined. The consequences of this change, linked to larger climatic shifts, are widely unknown. With the awareness that this special ecosystem is at risk, the Inuit Circumpolar Council (ICC) initiated the Pikialasorsuaq Commission. This Inuit-led Commission was mandated to conduct consultations in communities in Nunavut, Canada and Greenland that are closely connected to the Pikialasorsuaq. Through these consultations Inuit who have occupied the region and managed its resources for generations voiced their vision for the future of this polynya and adjacent waters. In Canada, the Commission met with Inuit in Aujuittuq (Grise Fiord), Qausuittuq (Resolute Bay), Ikpiarjuk (Arctic Bay), Mittimatalik (Pond Inlet), and Kangiqtugaapik (Clyde River), and on the Greenlandic side they met with Inuit in Siorapaluk, Qaanaaq, Savissivik, Kullorsuaq, Nuussuaq and Upernavik. In speaking to the people in these communities, the Commission sought local and Indigenous knowledge to guide the recommendations for an Inuit strategy on safeguarding, monitoring, and managing the health of Pikialasorsuaq for future generations. Each community emphasized that Inuit who live in the region are best placed to monitor and manage the region. These communities want to set and lead the research agenda, study the indicators of change, and establish realistic hunting regulations that will continue to sustain their communities. Further, Inuit on both sides are expressing a strong desire for free movement, once again, across the Pikialasorsuaq and increased cooperation to arrive at a common vision for shared resources and Inuit-led management of the area. Similar concerns over increased tourism, shipping, fishing, resource exploration, and seismic testing were heard on both sides. Communities insisted that any activity in the Pikialasorsuaq must not threaten the sustainability of the Pikialasorsuaq and its wildlife. Most emphatically, Inuit want to rebuild a collective Inuit caretaking regime for the polynya, between Inuit communities in Canada and Greenland. This report is based on the wealth of information from Inuit across the Pikialasorsuaq region and outlines three recommendations: 1. Establishment of a management regime, with a management authority led by Inuit representatives from communities in the Pikialasorsuaq region, an Inuit Management Authority (IMA). The management authority should establish a framework for regulating activities, including transportation, shipping, and off-shore industrial development. This regime will ensure the monitoring and conservation of living resources within and adjacent to the Pikialasorsuaq and the related health of communities that depend on these resources.1 2. Identification, in consultation with the communities in and adjacent to the Pikialasorsuaq, of a protected area comprised of the polynya itself and including a larger management zone that reflects the connection between communities , their natural resources, and the polynya. This management zone should be formed by Inuit in agreement with all parties, formally recognized by governments, and monitored and managed by Inuit to support the Inuit vision of a working seascape. Assigning a designation for a management zone in the Pikialasorsuaq has the potential to usher in a broader, more meaningful set of northern benefits and bring definition to the idea of a conservation economy for Inuit. 3. Establishment of a free travel zone for Inuit across the Pikialasorsuaq region. Inuit who live and use the Pikialasorsuaq must be recognized and respected as leaders in ensuring the protection of this area. Inuit want to ensure the viability of this important marine region for generations to come. The Commission also recommends the creation of an Indigenous Protected Area or IPA, along the lines of that created in Australia, to support the Inuit vision of a working seascape. An Indigenous Protected Area is a class of protected area used in Australia formed by agreement with Indigenous Australians, declared by Indigenous Government as being part of its National Reserve System. Such a designation in the Pikialasorsuaq has the potential to usher in a broader, more meaningful set of northern benefits and bring definition to the idea of a conservation economy for Inuit. The recommendations of the Commission are an opportunity for Canada and Greenland to take part in reformulating relationships between governments and the Indigenous people they represent. Further information including photos, technical background documents and testimonies may be accessed at www.pikialasorsuaq.org as well information can be found on the Pikialasorsuaq Facebook page (https:\/\/www.facebook.com\/pikialasorsuaq). Direct communication is welcome through the Commissioners Okalik Eegeesiak (chair@inuitcircumpolar.com), Kuupik Kleist (kvk@ggnuuk.gl), Eva Aariak (eva.aariak@gmail. com), or through the technical advisors Stephanie Meakin (smeakin@inuitcircumpolar.com) or Alfred Jakobsen (aerj58@gmail.com). The consultative process was an important first step in protecting the Pikialasorsuaq region but more remains to be done. Moving forward, the next steps include: - Initiating the development of an agreement between Canada and Greenland through the appropriate municipalities, villages, hamlets and relevant organizations including Nunavut Tunngavik Inc. (NTI), Qikiqitani Inuit Association (QIA), and the Government of Nunavut (GN), local KNAPK offices, ICC Greenland and ICC Canada towards implementation of these recommendations. - Formalizing an Inuit Management Authority (IMA) and its terms of reference recognizing the Free, Prior and Informed Consent (FPIC) of all communities, which will be mandated to manage activities in the marine environment that impact the Pikialasorsuaq; and, - Creating a management plan including an Inuit-led monitoring program. - , - Inuit Circumpolar Council, Canada, WWF, - , - Published - , - Authors: Okalik Eegeesiak, Eva Aariak, Kuupik V. Kleist - , - sikullu naapiffiat, immap uumasuinik aalaaluttoq, Inuit inuuniarnerannut kulturiannillu ukiuni tuusintilikkaani napatitsisimasoq. Isumalioqatigiissitap suliniut inunnut Pikialasorsuarmi inuullutillu atuisunut tunngatippaa. Pinngortitami Ataqatigiiffiusoq immikkuullarissoq tamanna ulorianartorsiortinneqaleriartornera paasillugu, Inuit Issittormiut Siunnersuisoqatigiiffiata Pikialasorsuaq pillugu Isumalioqatigiissitat pilersippai. Isumalioqatigiissitat naggueqatigiit Inunnit siuttuuffigineqartoq Pikialasorsuup qanitaaniittunut inoqarfinnut Nunavummiittunut Kalaallit Nunaanniittunullu tusarniaassalluni pisinnaatinneqarpoq, tamaanilu nunap immikkoortuani najugaqartuusunik naggueqatigiinnik Inunnik oqaloqateqassalluni kinguaariippassuillu inuusimasut isumalluutinik aqutsisimanerannik tunngasunik tusarniaassalluni imartami pingaaruteqartumi tamaani siunissami takorluugaat pillugit.1 Pikialasorsuaq, uumassuseqassuseq tamarmi ilanngullugu ulorianartorsiortitaavoq, taamaammallu inoqarfiit Pikialasorsuup qanittuaniittut nalorninartorsiortitaalerlutik. Immap sikua Pikialasorsuup avannamut sinaarilertagaa, silap pissusiata allanngoriartornerata kinguneranik mangiarneqarpoq. Aamma silap pissusiata allanngoriartornera ilutigalugu nunarsuarmioqatigiit attaveqatigiittarnerat annertusiartorpoq, umiarsuarnik angallassinikkut, pisuussutinik atuinikkut, takornariaqarnikkut aalisarnikkullu issittumi ingerlatat annertusiartormata. Isumalioqatigiissitat suliaat periarfissatigut assigiinngitsutigut saqqummiunneqassapput. Nalunaarusiami uani inoqarfinni Isumalioqatigiissitat misissuinerminni tikeraagaanni najugaqartunit nassuiaatigineqartut oqaluttuarineqartullu tunngavigalugit, matuma ... - , - Current - , - 16.3 - , - N\/A - , - Multi-organisational - , - National - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1826", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1826", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1826", "url": "https:\/\/hdl.handle.net\/11329\/1826" }, "contributor": [ { "@type": "Organization", "name": "Inuit Circumpolar Council" } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/342", "name": "Manual for Real-Time Quality Control of Passive Acoustics Data: A Guide to Quality Control and Quality Assurance for Passive Acoustics Observations.", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the passive acoustics community at large for the real-time QC of PA measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean observing community and represents a contribution to a collection of core variable QC documents. PA observations covered by these test procedures are collected in oceans and lakes in real time. These tests are based on guidance from QARTOD workshops (QARTOD 2003-2009) and draw from existing expertise in programs such as the Ocean Networks Canada (ONC) cabled observatory, programs conducted by the National Oceanic and Atmospheric Administration (NOAA) and the Woods Hole Oceanographic Institution (WHOI) , and Germany\u2019s Federal Maritime and Hydrographic Agency , which limits sound exposure level (SEL) when driving monopiles for offshore wind farm construction. This manual differs from existing QC procedures for the observation of PA in that its focus is on real-time data. It presents a series of eleven tests that operators can incorporate into practices and procedures for QC of PA observations. These tests apply only to the in-situ, real-time measurement of PA as observed by sensors deployed on fixed or mobile platforms. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/342", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/342", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/342", "url": "https:\/\/hdl.handle.net\/11329\/342" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Passive acoustics", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Fisheries and aquaculture", "Instrument Type Vocabulary::hydrophones", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1632", "name": "Developing Ocean Best Practices in Australia. [Video]", "description": " - Ocean best practices are increasingly recognised as a way to facilitate the collection and use of quality, comparable and collatable data. International efforts have focussed on criteria of what should be elevated to a \u2018best practice\u2019, but this will vary among countries and disciplines. For example, what is considered a best practice in developing countries may be superseded by a best practice requiring more resources in developed nations. In this presentation, we use the Field Manuals for Marine Sampling to Monitor Australian Waters produced through the NESP Marine Hub as a proposed benchmark for the development of national best practices for Australia and other developed countries. More than 136 contributors from 53 agencies collaborated during the two versions of the best practices released in 2018 and 2020. We describe the iterative process and challenges associated with the development of these best practices, as well as a preliminary assessment of outcomes and impacts. Using learnings from this case study, we will propose a national framework for developing, adopting, and maintaining ocean best practices. - , - Published - , - This video was originally presented at the virtual 2021 conference of the Australian Marine Sciences Association (AMSA2021). See www.amsa.asn.au for further information. - , - Current - , - 14.a - , - National - , - N\/A - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1632", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1632", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1632", "url": "https:\/\/hdl.handle.net\/11329\/1632" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Bax, Nic" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine Biodiversity Hub" } ], "keywords": [ "Training Video", "Benthos samplers", "Manual biota samplers", "Multi-beam echosounders", "Sediment grabs", "Underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1408", "name": "Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean.", "description": " - The differences among phytoplankton carbon (Cphy) predictions from six ocean color algorithms are investigated by comparison with in situ estimates of phytoplankton carbon. The common satellite data used as input for the algorithms is the Ocean Color Climate Change Initiative merged product. The matching in situ data are derived from flow cytometric cell counts and per-cell carbon estimates for different types of pico-phytoplankton. This combination of satellite and in situ data provides a relatively large matching dataset (N > 500), which is independent from most of the algorithms tested and spans almost two orders of magnitude in Cphy. Results show that not a single algorithm outperforms any of the other when using all matching data. Concentrating on the oligotrophic regions (Chlorophyll-a concentration, B, less than 0.15 mgChlm\u22123), where flow cytometric analysis captures most of the phytoplankton biomass, reveals significant differences in algorithm performance. The bias ranges from \u221235 to +150% and unbiased root mean squared difference from 5 to 10 mgCm\u22123 among algorithms, with chlorophyll-based algorithms performing better than the rest. The backscatteringbased algorithms produce different results at the clearest waters and these differences are discussed in terms of the different algorithms used for optical particle backscattering coefficient (bbp) retrieval. - , - Refereed - , - 14.A - , - Ocean colour - , - Phytoplankton biomass and diversity - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1408", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1408", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1408", "url": "https:\/\/hdl.handle.net\/11329\/1408" }, "author": [ { "@type": "Person", "name": "Mart\u00ednez-Vicente, V\u00edctor" }, { "@type": "Person", "name": "Evers-King, Hayley" }, { "@type": "Person", "name": "Roy, Shovonlal" }, { "@type": "Person", "name": "Kostadinov, Tihomir S." }, { "@type": "Person", "name": "Tarran, Glen A." }, { "@type": "Person", "name": "Graff, Jason R." }, { "@type": "Person", "name": "Brewin, Robert J. W." }, { "@type": "Person", "name": "Dall\u2019Olmo, Giorgio" }, { "@type": "Person", "name": "Jackson, Tom" }, { "@type": "Person", "name": "Hickman, Anna E." }, { "@type": "Person", "name": "R\u00f6ttgers, R\u00fcdiger" }, { "@type": "Person", "name": "Krasemann, Hajo" }, { "@type": "Person", "name": "Mara\u00f1\u00f3n, Emilio" }, { "@type": "Person", "name": "Platt, Trevor" }, { "@type": "Person", "name": "Sathyendranath, Shubha" } ], "keywords": [ "Phytoplankton carbon", "Carbon-to-chlorophyll", "Ocean coour remote sensing", "Picophytoplankton,", "Flow cytometry", "Optical water class", "Algorithm uncertainty", "Surface radiation", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1629", "name": "Methodology for oceanic CO2 measurements: final report of SCOR Working Group 75 Woods Hole, U.S.A. October 1988.", "description": " - This report summarizes the results of the deliberations of the SCOR Working Group 75 on methodology for oceanic CO2 measurements at meetings in Hamburg (1983), Lake Arrowhead (19841, Les Houches (1985) and Woods Hole (1988). It reviews the scientific and technical basis for oceanic studies: measuring equipment, procedures, ocean carbon standards and intercalibration. The report describes the state-of-the-art methodology and recommends a program dedicated to determining the diurnal, seasonal and interannual variability of the oceanic carbon cycle. The framework of a global CO2 survey as an international effort is adopted by JGOFS (Joint Global Ocean Flux Study) in the world hydrographic program of WOCE (World Ocean Circulation Experiment). - , - Published - , - Current - , - 14.a - , - Inorganic carbon - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1629", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1629", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1629", "url": "https:\/\/hdl.handle.net\/11329\/1629" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Carbon dioxide", "SCOR", "Scientific Committee on Oceanic Research", "Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2539", "name": "ISO 21070:2017\/Amd 1:2022. Ships and marine technology \u2014 Marine environment protection \u2014 Management and handling of shipboard garbage \u2014 AMENDMENT 1: Updates to classification of garbage. Edition 2.", "description": " - ISO 21070:2017\/Amd 1:2022(en) Ships and marine technology \u2014 Marine environment protection \u2014 Management and handling of shipboard garbage \u2014 AMENDMENT 1: Updates to classification of garbage. Main standard available: https:\/\/www.iso.org\/standard\/66930.html - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2539", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2539", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2539", "url": "https:\/\/hdl.handle.net\/11329\/2539" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Ship garbage", "Shipboard waste", "Waste disposal", "Garbage classification", "MARPOL", "Anthropogenic contamination", "Data analysis", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2414", "name": "Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators.", "description": " - Developing fast and accurate surrogates for physics-based coastal and ocean models is an urgent need due to the coastal flood risk under accelerating sea level rise, and the computational expense of deterministic numerical models. For this purpose, we develop the first digital twin of Earth coastlines with new physics-informed machine learning techniques extending the state-of-art Neural Operator. As a proof-of-concept study, we built Fourier Neural Operator (FNO) surrogates on the simulations of an industry-standard coastal and ocean model \u2013 Nucleus for European Modelling of the Ocean (NEMO). The resulting FNO surrogate accurately predicts the sea surface height in most regions while achieving upwards of 45x acceleration of NEMO. We delivered an open-source CoastalTwin platform in an end-to-end and modular way, to enable easy extensions to other simulations and ML-based surrogate methods. Our results and deliverable provide a promising approach to massively accelerate coastal dynamics simulators, which can enable scientists to efficiently execute many simulations for decision-making, uncertainty quantification, and other research activities. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2414", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2414", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2414", "url": "https:\/\/hdl.handle.net\/11329\/2414" }, "author": [ { "@type": "Person", "name": "Jiang, Peishi" }, { "@type": "Person", "name": "Meinert, Nis" }, { "@type": "Person", "name": "Jord\u00e3o, Helga" }, { "@type": "Person", "name": "Weisser, Constantin" }, { "@type": "Person", "name": "Holgate, Simon" }, { "@type": "Person", "name": "Lavin, Alexander" }, { "@type": "Person", "name": "L\u00fctjens, Bj\u00f6rn" }, { "@type": "Person", "name": "Newman, Dava" }, { "@type": "Person", "name": "Wainwright, Haruko" }, { "@type": "Person", "name": "Walker, Catherine" }, { "@type": "Person", "name": "Barnard, Patrick" } ], "contributor": [ { "@type": "Organization", "name": "Neural Information Processing Systems Foundation" } ], "keywords": [ "Machine learning", "Digital Twin of the Earth", "DTO", "Numerical modelling", "Coastal model", "Coastlines", "Flooding", "Other physical oceanographic measurements", "Data analysis", "Data visualization", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2008", "name": "Guidelines for sampling and determination of ammonium.", "description": " - Dissolved inorganic nitrogen is present in seawater both as nitrite, nitrate and ammonium. As a complement to the overall assessment of nutrient status, detailed information on the distribution of different species must be obtained. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic nitrogen\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/nitrogen-din. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2008", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2008", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2008", "url": "https:\/\/hdl.handle.net\/11329\/2008" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Monitoring", "Sampling", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2177", "name": "Future monitoring of litter and microplastics in the Arctic--challenges, opportunities, and strategies.", "description": " - The Arctic Monitoring and Assessment Programme has published a plan and guidelines for the monitoring of litter and microplastics (MP) in the Arctic. Here, we look beyond suggestions for immediate monitoring and discuss challenges, opportunities, and future strategies in the long-term monitoring of litter and MP in the Arctic. Challenges are related to environmental conditions, lack of harmonization and standardization of measurements, and long-term coordinated and harmonized data storage. Furthermore, major knowledge gaps exist with regard to benchmark levels, transport, sources, and effects, which should be considered in future monitoring strategies. Their development could build on the existing infrastructure and networks established in other monitoring initiatives in the Arctic, while taking into account specific requirements for litter and MP monitoring. Knowledge existing in northern and Indigenous communities, as well as their research priorities, should be integrated into collaborative approaches. The monitoring plan for litter and MP in the Arctic allows for an ecosystem-based approach, which will improve the understanding of linkages between environmental media of the Arctic, as well as links to the global problem of litter and MP pollution. - , - Refereed - , - 14.1 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2177", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2177", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2177", "url": "https:\/\/hdl.handle.net\/11329\/2177" }, "author": [ { "@type": "Person", "name": "Provencher, Jennifer F." }, { "@type": "Person", "name": "Aliani, Stefano" }, { "@type": "Person", "name": "Bergmann, Melanie" }, { "@type": "Person", "name": "Bourdages, Madelaine" }, { "@type": "Person", "name": "Buhl-Mortensen, Lene" }, { "@type": "Person", "name": "Galgani, Francois" }, { "@type": "Person", "name": "Gomiero, Alessio" }, { "@type": "Person", "name": "Granberg, Maria" }, { "@type": "Person", "name": "Grosvik, Bjorn Einar" }, { "@type": "Person", "name": "Hamilton, Bonnie M." }, { "@type": "Person", "name": "Koegel, Tanja" }, { "@type": "Person", "name": "Larsen, Jan Rene" }, { "@type": "Person", "name": "Lusher, Amy L." }, { "@type": "Person", "name": "Mallory, Mark L." }, { "@type": "Person", "name": "Murphy, Peter" }, { "@type": "Person", "name": "Peeken, Ilka" }, { "@type": "Person", "name": "Primpke, Sebastian" }, { "@type": "Person", "name": "Strand, Jakob" }, { "@type": "Person", "name": "Vorkamp, Katrin" } ], "keywords": [ "Marine litter", "AMAP", "Indigenous communities", "Transport pathways", "Marine pollution", "Ecosystems", "Microplastics", "Human activity", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2073", "name": "MPSglobal - Compendium of existing and emerging cross border and transboundary MSP practices.", "description": " - The \u201cCompendium of existing and emerging cross border and transboundary MSP\u201d aims to collect relevant information and experiences on cross border and transbourndary MSP (initiatives\/projects) including an up to date review of existing guidelines and handbooks. Desk research is led by the MSPglobal Team in order to anaylse worldwide sources, including the outputs from cross boundary and transboundary MSP projects funded by the European Commission and in the context of large marine ecosystems and Regional Seas programmes in Africa, America, Asia, Europe and Oceania. The review covers completed, ongoing and emerging transnational MSP processes. - , - Unesco; European Union - , - Published - , - Refereed - , - Current - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - International - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2073", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2073", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2073", "url": "https:\/\/hdl.handle.net\/11329\/2073" }, "author": [ { "@type": "Person", "name": "Quesada-Silva, Michel" }, { "@type": "Person", "name": "Hwedie, Kwadw Osei" }, { "@type": "Person", "name": "Iglesias Campos, Alejandro" }, { "@type": "Person", "name": "Begmatova, Madina" }, { "@type": "Person", "name": "Khalil, Aya" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Marine spatial planning (MSP)", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/983", "name": "Guidelines for Harmonizing Ocean Surface Microplastic Monitoring Methods. Version 1.0. {SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-867]", "description": " - Marine litter, including microplastics, is a current global challenge. Determining the existing distributions and quantities of microplastics in the ocean is an urgent task. Comparison of reported microplastic abundances, however, is difficult at present due to diverse monitoring methods. Hence, harmonization of monitoring methods for marine litter, including microplastics, is recognized as an important task\/activity. To remedy the situation, the Ministry of the Environment, Japan (below, MOEJ) has been promoting efforts to ascertain the actual state of marine pollution by encouraging horizontal distribution mapping of microplastic densities at the ocean surface worldwide. The MOEJ has developed Guidelines to harmonize ocean surface layer microplastic sampling and analytical methods, based on the results of two projects implemented by scientists. The first of these, for examining analytical methods, was an inter-laboratory comparison conducted by 12 institutes in 10 countries in 2017 to cross-check results of their own analytical methods using a pair of standard samples, each containing a predetermined quantity of plastic particles and a predetermined amount of non-plastic material. The second, for evaluating variances due to differences in field sampling methods, was a comparison of results obtained using various methods in FY2018, in Tokyo Bay. Based on analyses of the results obtained in these projects, recommendations for harmonization and points to be noted when examining monitoring results were summarized in the MOEJ\u2019s Guidelines. These Guidelines were prepared to enable anyone implementing ocean surface-layer microplastics-monitoring to design their monitoring protocols, compare their results with other monitoring results and interpret them based on such comparisons. - , - Published - , - Superseded - , - 14.1 - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/983", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/983", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/983", "url": "https:\/\/hdl.handle.net\/11329\/983" }, "author": [ { "@type": "Person", "name": "Michida, Yutaka" }, { "@type": "Person", "name": "Chavanich, Suchana" }, { "@type": "Person", "name": "C\u00f3zar Caba\u00f1as, Andr\u00e9s" }, { "@type": "Person", "name": "Hagmann, Pascal" }, { "@type": "Person", "name": "Hinata, Hirofumi" }, { "@type": "Person", "name": "Isobe, Atsuhiko" }, { "@type": "Person", "name": "Kershaw, Peter" }, { "@type": "Person", "name": "Kozlovskii, Nikolai" }, { "@type": "Person", "name": "Li, Daoji" }, { "@type": "Person", "name": "Lusher, Amy L." }, { "@type": "Person", "name": "Mart\u00ed, Elisa" }, { "@type": "Person", "name": "Mason, Sherri A." }, { "@type": "Person", "name": "Mu, Jingli" }, { "@type": "Person", "name": "Saito, Hiroaki" }, { "@type": "Person", "name": "Shim, Won Joon" }, { "@type": "Person", "name": "Syakti, Agung Dhamar" }, { "@type": "Person", "name": "Takada, Hideshige" }, { "@type": "Person", "name": "Thompson, Richard" }, { "@type": "Person", "name": "Tokai, Tadashi" }, { "@type": "Person", "name": "Uchida, Keiichi" }, { "@type": "Person", "name": "Vasilenko, Katerina" }, { "@type": "Person", "name": "Wang, Juying" } ], "contributor": [ { "@type": "Organization", "name": "Ministry of the Environment, Japan (MOEJ)" } ], "keywords": [ "Microplastics", "Ocean surface", "Net sampling", "Harmonization", "Monitoring methods" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/374", "name": "CTD Oxygen Sensor Calibration Procedures", "description": " - Oxygen sensors currently afford one of the few oppor tunities to acquire accurate measurements of a biogeochemical parameter at the same vertical re solution as CTD data. Electrochemical cells have been used to measure dissolved oxygen concentration in a water solution, initially blood (Clark et al., 1953) but soon thereafter aquatic environments (Kanwisher, 1959) for many decades. More recently, optical sensors have been applied to aquatic uses (Klimant et al., 1995). Here we present outlines of procedures on acquisition, processing, and calibration of oxygen data collected from both electrochemical and optical oxygen sensors. We focus only on one model of electrochemical cell, specifically the SeaBird Electronics SBE-43. He re also we provide detailed material on recent experience with acquisition, processing, and calib ration of data from optical oxygen sensors, specifically the Aanderaa Data Instruments Optode 3830 and the JFE Alec Rinko Optode. For all sensor types, readers should bear in mind th at oceanic oxygen measurement and calibration techniques are subject to improvement. This outlin e should be viewed only as a supplement to the existing literature, manufacturer documentation, and manufacturer instructions. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/374", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/374", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/374", "url": "https:\/\/hdl.handle.net\/11329\/374" }, "author": [ { "@type": "Person", "name": "Uchida, H" }, { "@type": "Person", "name": "Johnson, G.C" }, { "@type": "Person", "name": "McTaggart, K.E" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/989", "name": "OGC Geoscience Markup Language 4.1 (GeoSciML) - with Corrigendum, Version 4.1.1.", "description": " - GeoSciML is a model of geological features commonly described and portrayed in geological maps, cross sections, geological reports and databases. The model was developed by the IUGS CGI (Commission for the Management and Application of Geoscience Information) and version 4.1 is the first version officially submitted as an OGC standard. This specification describes a logical model and GML\/XML encoding rules for the exchange of geological map data, geological time scales, boreholes, and metadata for laboratory analyses. It includes a Lite model, used for simple map-based applications; a basic model, aligned on INSPIRE, for basic data exchange; and an extended model to address more complex scenarios. The specification also provides patterns, profiles (most notably of Observations and Measurements - ISO19156), and best practices to deal with common geoscience use cases. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/989", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/989", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/989", "url": "https:\/\/hdl.handle.net\/11329\/989" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1664", "name": "Dissolved oxygen.", "description": " - The amount of dissolved oxygen in seawater is measured using the Carpenter modification of the Winkler method. Carpenters modification (1965) was designed to increase the accuracy of the original method devised by Winkler in 1889. Using Carpenters modification, the significant loss of iodine is reduced and air oxidation of iodide is minimized. Rather than using the visible color of the iodine-starch complex as an indicator of the titration end-point, we use an automated titrator that measures the absorption of ultraviolet light by the tri-iodide ion, which is centered at a wavelength of 350 nm. - , - Published - , - Current - , - 14.a - , - Oxygen - , - Mature - , - Multi-organisational - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1664", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1664", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1664", "url": "https:\/\/hdl.handle.net\/11329\/1664" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Dissolved gases", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/626", "name": "Calibration of acoustic instruments.", "description": " - Acoustic sampling has long been a standard survey tool for estimating the abundance and distribution of fish, zooplankton, and their seabed habitat (Kimura, 1929; Sund, 1935; Holliday, 1972a; Nielson et al., 1980). Typically, acoustic surveys are conducted using multifrequency echosounders that transmit sound pulses down beneath the ship and receive echoes from animals and the seabed in the path of the sound waves (Simmonds and MacLennan, 2005). Generally, for surveys of animals, the backscatter signal is normalized to the range-dependent observational volume yielding the volume backscattering coefficient, which provides indications of the target type and behaviour. Objects scatter sound if their product of mass density and sound speed is different from that of the surrounding medium. A fish with a swimbladder has a large acoustic-impedance contrast (Foote, 1980), and thus has a large reflecting area, backscattering cross-section. Plankton, e.g. krill and salps, generally have much lower acoustic-impedance contrasts, but can produce large volume backscattering coefficients when they are aggregated in large densities (Hewitt and Demer, 1991, 2000). Under certain conditions, the summed and averaged volume backscattering coefficients are linearly related to the density of the fish or plankton aggregations that contributed to the echoes (Foote, 1983a). The number density can be estimated by dividing the integrated volume backscattering coefficient from an aggregation of target species by the average backscattering cross section from a representative animal (Ehrenberg and Lytle, 1972). An estimate of animal abundance is then obtained by multiplying the average estimated fish density and the survey area. Increasingly, multifrequency echosounder surveys are being augmented with samples from other acoustic instruments such as multibeam echosounders (Gerlotto et al., 1999; Simmonds et al., 1999; Berger et al., 2009; Colbo et al., 2014), multibeam imaging sonars (Korneliussen et al., 2009; Patel and Ona, 2009), and long-range scanning sonars (Bernasconi et al., 2009; Nishimori et al., 2009; Stockwell et al., 2013)(Figure 1.1). Use of these instruments provides information on many more aspects of the biotic and abiotic environment, e.g. bathymetry, seabed classification (Humborstad et al., 2004; Cutter and Demer, 2014), oceanographic fronts (Wade and Heywood, 2001), mixed-layer depths, anoxic regions, internal waves (Lavery et al., 2010a), turbulence (Stanton et al., 1994), currents, and methane seeps, all contributing to a broader ecosystem perspective (Demer et al., 2009a). In each case, the quantitative use of the data requires that the acoustic instrument is calibrated. Calibration of acoustic instruments | 11 Figure 1.1. A conceptual image of acoustic-sampling beams projecting from a survey vessel equipped with multifreque ncy split-beam (green) and multibeam (orange) echosounde rs, multibeam imaging sonar (purple), and long-range scanning sonar (grey). Instrument calibration involves the characterization of measurement accuracy (bias or systematic error) and precision (variability or random error). Sampling with the calibrated instrument involves additional systematic and random error (Demer, 2004). Calibration accuracy is estimated and optimized by comparing measured and assumed values for a standard, and correcting for the difference. The selection and characterization of a calibration standard is, therefore, paramount to the accuracy of an instrument calibration (Foote and MacLennan, 1984). Calibration precision is estimated by comparing multiple measures of a standard. Importantly, the performance of an instrument and thus its calibration accuracy and precision may change vs. time or the environment (Demer and Hewitt, 1993; Brierley et al., 1998a; Nam et al., 2007). Therefore, instruments should be calibrated frequently within the range of environments where they are used to make calibrated measurements (Demer and Renfree, 2008). If this is not possible, account should be made for any changes in the instrument or environment that appreciably affect the calibration accuracy and precision. This report includes general instruction and current best practices for calibrating a selection of acoustic instruments commonly used to conduct fishery science and surveys. It also describes some less developed protocols for other acoustic instruments. For practical reasons, not all fishery acoustic instruments are included. The remainder of Chapter 1 (i) summarizes some of the theoretical principles of acoustic instruments used to conduct fishery research and surveys, (ii) describes some commonly used instruments and their deployment platforms, and (iii) briefly introduces some common methods for calibrating acoustic instruments. Readers seeking only protocols for calibrating echosounders may wish to skip this and other sections and consult the Contents table to access information related to their interest and need. Chapter 2, details the sphere calibration method. Chapter 3 explores uncertainty in sphere calibrations. Chapter 4 describes protocols for calibrating some commonly used echosounders. Chapter 5 describes emerging protocols for some other acoustic instruments. Chapter 6 acknowledges valuable contributions to this CRR by people not included in the list of authors. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - Fish abundance and distribution - , - Mature - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/626", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/626", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/626", "url": "https:\/\/hdl.handle.net\/11329\/626" }, "author": [ { "@type": "Person", "name": "Demer, David A." }, { "@type": "Person", "name": "Berger, Laurent" }, { "@type": "Person", "name": "Bernasconi, Matteo" }, { "@type": "Person", "name": "Bethke, Eckhard" }, { "@type": "Person", "name": "Boswell, Kevin" }, { "@type": "Person", "name": "Chu, Dezhang" }, { "@type": "Person", "name": "Domokos, Reka" }, { "@type": "Person", "name": "Dunford, Adam" }, { "@type": "Person", "name": "Fassler, Sascha" }, { "@type": "Person", "name": "Gauthier, Stephane" }, { "@type": "Person", "name": "Hufnagle, Lawrence T," }, { "@type": "Person", "name": "Jech, J. Michael" }, { "@type": "Person", "name": "Bouffant, Naigle" }, { "@type": "Person", "name": "Lebourges-Dhaussy, Anne" }, { "@type": "Person", "name": "Lurton, Xavier" }, { "@type": "Person", "name": "Macaulay, Gavin J." }, { "@type": "Person", "name": "Perrot, Yannick" }, { "@type": "Person", "name": "Ryan, Tim" }, { "@type": "Person", "name": "Parker-Stetter, Sandra" }, { "@type": "Person", "name": "Stienessen, Sarah" }, { "@type": "Person", "name": "Weber, Thomas" }, { "@type": "Person", "name": "Williamson, Neal" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fisheries acoustics", "Acoustic backscatter", "Instrument calibration", "Fish surveys", "Fish abundance", "Echosounder", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline - Physical oceanography - Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::Fish-finder echosounders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/734", "name": "Performance Verification Statement for the Ballast-Check 2. Version: 2015 (Turner Designs).", "description": " - In an effort to mitigate the risk of transporting aquatic nuisance species, the United States Coast Guard (USCG) has finalized a rule limiting the concentrations of organisms in ships\u2019 ballast water discharged into US ports (US Coast Guard 2012). The specified concentrations are nearly identical (with the exception of not including limits for Vibrio cholerae in zooplankton samples) to those in the International Maritime Organization\u2019s (IMO) convention (IMO 2004). Further, the limits are consistent with those in the US Environmental Protection Agency\u2019s Vessel General Permit (VGP)\u2014regulations on a suite of vessel operations, including the discharge of ballast water (US EPA 2013). In order to meet these limits, most ships will use a ballast water management system (BWMS). These systems incorporate a variety of technologies (including filtration, UV radiation, electrolytic chlorination, and deoxygenation) to ensure that the discharge water meets the specifications. Determining concentrations of living organisms can require extensive effort and sensitive equipment, especially for sparse populations. For example, direct counts of living organisms \u226510 and <50 \u00b5m according to the method stipulated in the US Environmental Technology Verification (ETV) Program Protocol for land-based testing of BWMS requires (1) labeling organisms within a sample with a set of vital fluorophores and (2) tallying the organisms via epifluorescence microscopy (EPA 2010; Steinberg et al. 2011). Direct counts of living organisms yield concentrations comparable to the numerical standard. While this rigorous, complex, and time-consuming analysis is appropriate for verification testing of BWMS, it is typically not feasible to perform this analysis during routine shipboard inspections. Rather, simple, hand-held, field instruments (\u201ccompliance tools\u201d)\u2014with the ability to rapidly assess that the ballast water clearly exceeds the discharge limits\u2014will be of much greater value to the ship owner, the BWMS vendor, and the compliance officer. Compliance tools should immediately produce results that are reliable indicators of the concentrations of living organisms within a regulated size class and predict whether a sample meets or exceeds the discharge standard. New or refined compliance tools require carefully considered test protocols for evaluating and verifying their performance. The overall goal of this technology verification was to evaluate the performance of potential compliance tools designed to rapidly assess ballast water discharge. The outputs of the compliance tools were compared to the standard, validated approach (i.e. epifluorescence microscopy; EPA 2010) used to quantify organisms \u226510 and <50 \u00b5m in size during verification testing of BWMS. The objectives outlined below support this goal: \u2022 In a series of laboratory trials to be conducted at the Naval Research Laboratory in Key West, FL (NRL), determine linearity, precision and accuracy of the compliance tool with samples of algal monocultures over a range of concentrations, including concentrations below, equal to, and above the IMO and US discharge standard. \u2022 Evaluate the relationship between numerical concentrations of living organisms \u226510 and <50 \u00b5m and the accuracy and precision of the instrument using ambient organisms collected from natural waters at three various locations (Key West, Chesapeake Bay, and Lake Superior). - , - Published - , - Refereed - , - Current - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/734", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/734", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/734", "url": "https:\/\/hdl.handle.net\/11329\/734" }, "author": [ { "@type": "Person", "name": "First, M.R." }, { "@type": "Person", "name": "Riley, S.C." }, { "@type": "Person", "name": "Robbins-Wamsley, S.H." }, { "@type": "Person", "name": "Molina, V." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Reavie, E." }, { "@type": "Person", "name": "Carney, K." }, { "@type": "Person", "name": "Moser, C.S." }, { "@type": "Person", "name": "Buckley, E.N." }, { "@type": "Person", "name": "Tamburri, M.N." }, { "@type": "Person", "name": "Drake, L.A." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biological Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1293", "name": "Cruise Expedition Monitoring Workshop and Dialogue - Seminar: On improving and expanding the environmental monitoring efforts of cruise ships in the Arctic, March 7-8 2019, Longyearbyen, Svalbard.", "description": " - The objectives of the workshop is to jointly develop a cruise expeditions\u2019 Arctic environmental monitoring program comprising dedicated citizen science programs. The workshop is part of the INTAROS WP4 on Community-based monitoring. Cruise expeditions have the potential to support environmental protection efforts by obtaining information that can help scientists conduct conservation research and provide a better basis for management decisions. Representatives from cruise operators, citizen science programs, local government, local scientists and INTAROS will meet to discuss and develop a Cruise Expeditions Monitoring Program to be tested around Svalbard and in other areas of the Arctic. The focus will be on working towards agreeing on simple methods that can be used alongside the normal cruise activities at sea and on land, and which can be reported on, as far as possible, by using the same format. We will look for monitoring that is meaningful to all involved and which will make the cruises an even richer experience for both guides and guests. A dialogue meeting with local actors in Longyearbyen was organised on the second day The workshop is organised by Finn Danielsen (NORDECO), Lisbeth Iversen (NERSC) and MIchael K\u00f8ie Poulsen (NORDECO) - , - This project receives funding from the European Union\u2019s Horizon 2020 Research and Innovation Programme under GA No. 727890 - , - Published - , - This INTAROS community-based monitoring (CBM) workshop was held in Svalbard at the University Center (UNIS) on March 7-8, 2019 (https:\/\/intaros.nersc.no\/content\/cruise-expedition-monitoring-workshop). The workshop offered an opportunity for cruise operators, citizen science programs, local government and scientists in the Arctic to come together to exchange experiences and perspectives. The environment in the Arctic region is changing fast. Better environmental monitoring and management is urgently needed. Cruise operators, guides and passengers may find it meaningful to participate in these efforts. The objective of the Svalbard workshop was to jointly develop a cruise expedition Arctic environmental monitoring program comprising dedicated citizen science programs to be tested around Svalbard and in the Arctic during 2019. The INTAROS project and the Association of Expedition Cruise Operators (AECO) would like to facilitate a sharing of experience followed by improved and more widespread environmental monitoring efforts on the part of cruise ships. The changes in the environment are due to increasing temperatures. Sea ice is decreasing, human activities are increasing, wildlife is affected, etc. Such changes have global and regional implications. Moreover, these changes have a severe impact on people\u2019s living conditions in the Arctic. To ensure sustainable development in the Arctic, we need to accumulate more knowledge on its climate and environment. The large expanse of the Arctic and the many remote parts that are rarely visited by scientists or anybody at all is a challenge for environmental monitoring. Cruise ships are regularly reaching otherwise rarely visited places. Tour guides and passengers can contribute meaningfully to environmental monitoring in the Arctic. Some cruise operators are already participating in environmental monitoring. It may be possible to learn from existing efforts, build on these and extend the participatory monitoring to even more cruises. Cruise expeditions have the potential to support environmental protection efforts by obtaining information that can help scientists conduct conservation research and provide a better basis for management decisions. Representatives from cruise operators, citizen science programs, local government, local scientists and INTAROS met to discuss and develop a Cruise Expeditions Monitoring Program. The main focus was on working towards agreeing on simple methods that can be used alongside the normal cruise activities at sea and on land, and which can be reported on, as far as possible, by using the same format. Such approaches can be meaningful to all involved and may make the cruises an even richer experience for both guides and guests. The long term objective is the better management of climate challenges, wildlife and cultural sites. The guests and guides will see the importance of their observations and will feel that they are making a contribution to the environment. The cruise operators will get a say when it comes to selecting appropriate management interventions that do not harm their operations unnecessarily. The researchers will obtain data and information, and decision-makers will be able to enter into a dialogue with cruise operators and obtain stronger evidence for management decisions. The monitoring may include observations from guides and guests, photographs, or the taking of water, ice or soil samples for later analysis by scientists, etc. The cruise operators will own the monitoring program and the resulting data but this will be shared widely as long as ownership is recognized. The receivers of the data, samples and reports may include cruise guests, cruise guides, relevant databases, conservation organizations and research institutions, as well as the authorities responsible for recommending or deciding on management actions. The workshop is the fifth INTAROS CBM Workshop. The earlier workshops were held in Fairbanks, Alaska (May 11, 2017), in the Russian communities of Komi and Zhigansk (September 2017 and 2018), and in Qu\u00e9bec City, Qu\u00e9bec, Canada (December 11-12, 2017). - , - Non Refereed - , - Current - , - 3 - , - 14 - , - 17 - , - Sea ice - , - Marine turtles, birds, mammals abundance and distribution - , - Training and Educational Material - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1293", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1293", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1293", "url": "https:\/\/hdl.handle.net\/11329\/1293" }, "author": [ { "@type": "Person", "name": "Poulsen, Michael K\u00f8ie" }, { "@type": "Person", "name": "Iversen, Lisbeth" }, { "@type": "Person", "name": "Mikkelsen, Nadia" }, { "@type": "Person", "name": "Danielsen, Finn" } ], "contributor": [ { "@type": "Organization", "name": "INTAROS H2020 Project (GA No. 727890)" } ], "keywords": [ "AECO", "Community based monitoring", "Cruise", "Stakeholder engagement", "Citizen Science", "Shipping", "Marine mammals" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/237", "name": "ICES Data Guidelines for Seasoar (Batfish) data. (Compiled May 1999, revised August. 2001; December 2006)", "description": " - The Seasoar (or Batfish) instrument is a towed platform typically equipped with a CTD. Other sensors, such as fluorometers or transmissometers, ma y also be added. The SeaSoar has hydraulically controlled wings, which give it the ability to \"fly\" up and down in the water column. On a typical deployment, the SeaSoar is towed behind a ship at speeds of up to 10 knots using a faired cable while flying between two depths, U se of a faired cable reduces the drag on the cable and allows the SeaSoar to fly sawtooth profiles with a maximum depth of ~500m. Without fairing or with damaged fairing the depth capabilities of the SeaSoar are dramatically reduced. W ith no fairing at all the SeaSoar would struggle to attain 100m depth - , - Published - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/237", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/237", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/237", "url": "https:\/\/hdl.handle.net\/11329\/237" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Batfish", "Towed platform", "Fluorometers", "Transmissometers", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1326", "name": "GO-SHIP Repeat Hydrography Manual: Cover page, acknowledgements and contents.", "description": " - Support for GO-SHIP is provided by the IOC-SCOR International Ocean Carbon Coordination Project (IOCCP) and the WCRP Climate Variability and Predictability Project (CLIVAR). Major financial support for this project is provided by the U.S. National Science Foundation through a grant to UNESCO - IOC (OCE - 0715161) and to the Scientific Committee on Oceanic Research (OCE \u2013 0608600 and OCE - 0938349) for the IOCCP. - , - Published - , - Refereed - , - Current - , - 14.A - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1326", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1326", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1326", "url": "https:\/\/hdl.handle.net\/11329\/1326" }, "author": [ { "@type": "Person", "name": "Hood, E.M." }, { "@type": "Person", "name": "Sabine, C.L." }, { "@type": "Person", "name": "Sloyan, B.M." } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/867", "name": "Epibiota remote monitoring from digital imagery: Interpretation guidelines.", "description": " - There is increasing recognition that the effective acquisition and interpretation of underwater video and still image data for biodiversity is growing in importance. Numerous organisations (e.g. Statutory Nature Conservation Bodies (SNCBs), Inshore Fisheries Conservation Authorities (IFCAs), environmental consultancy agencies, industry and academic institutes) are now engaged in this work for a variety of different purposes, including: \uf0b7 Marine habitat mapping of physical seabed habitats and features in support of a variety of national and international initiatives, e.g. Integrated Mapping For the Sustainable Development of Ireland's Marine Resource (INFOMAR). \uf0b7 Characterisation of the epibiotic attributes of seabed habitats and features e.g. in support of the Marine Strategy Framework Directive, Water Framework Directive, designation of Marine Protected Areas (MPAs, European and National), marine development applications and licensing. \uf0b7 Monitoring trends in seabed habitat features and their associated epibiotic communities, e.g. in support of monitoring the effectiveness of management measures implemented to achieve given conservation objectives within MPAs and also to assess and monitor predicted impacts for given marine developments and the effectiveness of mitigation measures implemented. The guidelines in this document provide a summary of current best practice for the interpretation of video and stills imaging data of benthic substrata and epibenthic species to ensure that data are interpreted to fulfil the objectives of a survey. These guidelines form part of the epibiota component of the NMBAQC scheme, reporting to the Healthy and Biologically Diverse Seas Evidence Group (HBDSEG) under the UK\u2019s Marine Monitoring and Assessment Strategy (UKMMAS). - , - Published - , - Refereed - , - Current - , - 14.A - , - Benthic invertebrate abundance and distribution - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/867", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/867", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/867", "url": "https:\/\/hdl.handle.net\/11329\/867" }, "author": [ { "@type": "Person", "name": "Turner, J.A." }, { "@type": "Person", "name": "Hitchin, R." }, { "@type": "Person", "name": "Verling, E." }, { "@type": "Person", "name": "van Rein, H." } ], "contributor": [ { "@type": "Organization", "name": "Joint Nature Conservation Committee (JNCC)\/ NMBAQCS" } ], "keywords": [ "Underwater photography", "Video imagery", "Interpretation", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2541", "name": "ISO\/DIS 16094-2. Water quality \u2014 Analysis of microplastic in water Part 2: Vibrational spectroscopy methods for waters with low content of suspended solids including drinking water, [Under development]", "description": " - This document specifies a method for the qualitative and quantitative analysis of microparticles of plastic or elastomeric materials in water using a microscopy technique coupled with vibrational spectroscopy. The aim is to generate reliable and comparable data on the potential presence of microplastics in clean waters with micro-Fourier transform infrared spectroscopy (\u03bcFTIR) and micro-Raman spectroscopy. For simplification, the addressed materials will be named \"microplastics\" in the document. The method allows: \u2022 Determination of the size distribution of microplastics (1 \u03bcm to 5 000 \u00b5m); \u2022 Identification of the composition of microplastics by characterizing, the type of polymer (PE, PP, PET, PTFE, PS, PVC, PC, PMMA, elastomers \u2026 The method is applicable to: \u2022 Ultrapure water in accordance with ISO 3696; \u2022 Water intended for human consumption (drinking water); \u2022 Bottled water; \u2022 Untreated groundwater. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2541", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2541", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2541", "url": "https:\/\/hdl.handle.net\/11329\/2541" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Microplastics", "Elastomeric materials", "Anthropogenic contamination", "Human activity", "spectrophotometers", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1022", "name": "Oceanographic Instrumentation Technician: the Importance of Oceanographic Instrumentation Technicians and Ocean Observing Systems.", "description": " - Oceanographic Instrumentation Technicians play an important role in the collection of scientific measurements that allow us to understand how the oceans work and to use the ocean and its resources more safely and wisely. - , - Published - , - Refereed - , - Current - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1022", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1022", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1022", "url": "https:\/\/hdl.handle.net\/11329\/1022" }, "contributor": [ { "@type": "Organization", "name": "Marine Advanced Technology Education Center" } ], "keywords": [ "Training", "Curriculum", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/723", "name": "Biological monitoring: General guidelines for quality assurance.", "description": " - These guidelines have been prepared by the ICES\/OSPAR Steering Group on Quality Assurance of Biological Measurements in the Northeast Atlantic (SGQAE), as part of its role to encourage the production of biological data of consistent quality by member countries. The biological measures covered are: chlorophyll a, phytoplankton, macrozoobenthos, and macrophytobenthos, reflecting the initial remit of the Steering Group to address eutrophication- related studies according to the specifications of the OSPAR Joint Assessment and Monitoring Programme (JAMP). Tables of critical quality assurance (QA) factors and priority QA actions for these measures are presented. However, the guidelines for developing effective QA\/AQC (analytical quality control) procedures governing field and laboratory work will be found to have a more general relevance to laboratories engaged in biological studies in the marine environment. QA guidelines are presented across the full range of monitoring activities, i.e., from the objective-setting and sampling design stages of field surveys, to the generation, analysis, and archiving of data. Attention to all these activities is necessary in order to ensure the production of good quality information that continues to meet the purpose of scientific assessments. In the preparation of these guidelines, every effort has been made to ensure compatibility with the recently revised ICES\/HELCOM guidelines contained in the HELCOM Cooperative Monitoring in the Baltic Marine Environment (COMBINE) manual, and there has been free exchange of drafts between the respective QA Steering Groups. Where possible, illustrative examples of good practice in relation to QA of biological measures are included, to aid in practical applications of the guidelines document, and to provide an indication of the likely direction of future QA developments for biological studies. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Phytoplankton biomass and diversity - , - Benthic invertebrate abundance and distribution - , - Macroalgal canopy cover and composition - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/723", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/723", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/723", "url": "https:\/\/hdl.handle.net\/11329\/723" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2525", "name": "Guide for the EMODnet Marine Spatial Planning Data Model. Working Paper.", "description": " - This guide describes the data model proposed by the EMODnet Human Activities team for presenting an EU-wide dataset on Marine Spatial Planning. The data set represents the marine spatial plans adopted by the Member States following the Directive 2014\/89\/EU. Building on previous initiatives and research projects across Europe (HELCOM-VASAB, MSP INSPIRE Data Model and SIM projects) as well as on the findings from the Commission Technical Expert Group on MSP Data, an INSPIRE compliant data model has been designed. The model aims to ensure harmonization and usability by all potential marine data users: policy-makers, scientists, private companies and the public. Therefore, the specific attributes of the MSPs across EU countries were also taken into account for their representation on the EMODnet geoportal. - , - Published - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2525", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2525", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2525", "url": "https:\/\/hdl.handle.net\/11329\/2525" }, "contributor": [ { "@type": "Organization", "name": "EMODnet" } ], "keywords": [ "Marine Spatial Planning (MSP)", "Data model", "Human activity", "Data management planning and strategy development", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2180", "name": "A Framework for Integrating Life-Safety and Environmental Consequences into Conventional Arctic Shipping Risk Models.", "description": " - Featured Application A risk assessment framework that supports Arctic voyage planning and real-time operational decision-making through assignment of operational criteria based on the likelihood of ice-induced damage and the potential consequences. Abstract The International Code for Ships Operating in Polar Waters (Polar Code) was adopted by the International Maritime Organization (IMO) and entered into force on 1 January 2017. It provides a comprehensive treatment of topics relevant to ships operating in Polar regions. From a design perspective, in scenarios where ice exposure and the consequences of ice-induced damage are the same, it is rational to require the same ice class and structural performance for such vessels. Design requirements for different ice class vessels are provided in the Polar Code. The Polar Operational Limit Assessment Risk Indexing System (POLARIS) methodology provided in the Polar Code offers valuable guidance regarding operational limits for ice class vessels in different ice conditions. POLARIS has been shown to well reflect structural risk, and serves as a valuable decision support tool for operations and route planning. At the same time, the current POLARIS methodology does not directly account for the potential consequences resulting from a vessel incurring ice-induced damage. While two vessels of the same ice class operating in the same ice conditions would have similar structural risk profiles, the overall risk profile of each vessel will depend on the magnitude of consequences, should an incident or accident occur. In this paper, a new framework is presented that augments the current POLARIS methodology to model consequences. It has been developed on the premise that vessels of a given class with higher potential life-safety, environmental, or socio-economic consequences should be operated more conservatively. The framework supports voyage planning and real-time operational decision making through assignment of operational criteria based on the likelihood of ice-induced damage and the potential consequences. The objective of this framework is to enhance the safety of passengers and crews and the protection of the Arctic environment and its stakeholders. The challenges associated with establishing risk perspectives and evaluating consequences for Arctic ship operations are discussed. This methodology proposes a pragmatic pathway to link ongoing scientific research with risk-based methods to help inform recommended practices and decision support tools. Example scenarios are considered to illustrate the flexibility of the methodology in accounting for varied risk profiles for different vessel types, as well as incorporating input from local communities and risk and environmental impact assessments. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2180", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2180", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2180", "url": "https:\/\/hdl.handle.net\/11329\/2180" }, "author": [ { "@type": "Person", "name": "Browne, Thomas" }, { "@type": "Person", "name": "Taylor, Rocky" }, { "@type": "Person", "name": "Veitch, Brian" }, { "@type": "Person", "name": "Kujala, Pentti" }, { "@type": "Person", "name": "Khan, Faisal" }, { "@type": "Person", "name": "Smith, Doug" } ], "keywords": [ "Arctic shipping", "POLARIS", "Polar Code", "Human activity", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1053", "name": "OGC Geoscience Markup Language 4.1 (GeoSciML).", "description": " - GeoSciML is a model of geological features commonly described and portrayed in geological maps, cross sections, geological reports and databases. The model was developed by the IUGS CGI (Commission for the Management and Application of Geoscience Information) and version 4.1 is the first version officially submitted as an OGC standard. This specification describes a logical model and GML\/XML encoding rules for the exchange of geological map data, geological time scales, boreholes, and metadata for laboratory analyses. It includes a Lite model, used for simple map-based applications; a basic model, aligned on INSPIRE, for basic data exchange; and an extended model to address more complex scenarios. The specification also provides patterns, profiles (most notably of Observations and Measurements - ISO19156), and best practices to deal with common geoscience use cases. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1053", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1053", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1053", "url": "https:\/\/hdl.handle.net\/11329\/1053" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/318", "name": "Report on Calibration Best Practices: D4.2. (Version 1.3 - 27\/06\/14)", "description": " - The main goal of work package 4 is to increase the performance of oceanographic observatories in Europe. One major point is the formulation and the evaluation of best practises of sensor calibration. This is an issue of great interest for institutions dealing with different (automated) observation systems. So, this report is providing information about the best practises for sensor calibration of different types of sensors. Each sensor type has typical characteristics, which have to be addressed when calibration routine has to be applied to the sensor. This is outlined in the next sections for the different sensor types. However, there are also several general advices for sensor calibration which are valid for any sensor when reliable sensor data are needed. - , - European Commission, FP7, Joint European Research Infrastructure network for Coastal Observatories (JERICO) Project, Grant Agreement n\u00b0 262584 - , - Published - , - Permission to deposit: Patrick Farcy, Coordinator JERICO Project (jerico@ifremer.fr) - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/318", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/318", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/318", "url": "https:\/\/hdl.handle.net\/11329\/318" }, "author": [ { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Haller, Michael" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" }, { "@type": "Person", "name": "Salvetat, Florence" } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "Temperature sensors", "Conductivity sensors", "Chemical sensors", "Oxygen sensors", "Oxygen measurement", "Sensor calibration", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2434", "name": "Gliders metadata. EuroSea Deliverable D3.10.", "description": " - Management of metadata is a central piece of the European Ocean Observing System (EOOS). This document reports on the progress made on this topic for the European glider network and how this effort led by the European community is impacting the international program OceanGliders. Thanks to the EuroSea project, the European glider community managed to re-organize the way metadata has been handled since the community started to work on glider data management. This new approach based on the use of online community tools has been endorsed by the international community and will increase user engagement on this topic through an effective, inclusive, open, transparent, and asynchronous way to share and build knowledge. The tremendous progress made regarding glider metadata management so far, led by EuroSea D3.10 members, allows the European glider community to ambition the implementation of the FAIR principles. Thus, machine-to-machine metadata sharing in the coming years will be improving the European capacity to monitor glider activity and use glider data. The release of the OceanGliders 1.0 format will set the baseline for all glider data sets in the world. It will integrate the progress made by the EuroSea D3.10 team. This task contributed to the great improvement of glider data management in Europe, and also strongly influenced the data management approach of OceanGliders, the glider program of the Global Ocean Observing System. - , - European Union, Horizon H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2434", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2434", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2434", "url": "https:\/\/hdl.handle.net\/11329\/2434" }, "author": [ { "@type": "Person", "name": "Krieger, Magali" }, { "@type": "Person", "name": "Turpin, Victor" }, { "@type": "Person", "name": "Testor, Pierre" }, { "@type": "Person", "name": "Thomsen, Soren" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Tanhua, Toste" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Gliders", "Ocean Gliders", "Physical oceanography", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2389", "name": "Scoping of new field manuals for marine sampling in Australian waters. Report to the National Environmental Science Programme.", "description": " - A suite of field manuals was released by the NESP Marine Hub in early 2018 to facilitate a national monitoring framework, with a focus on seven marine sampling platforms: multibeam sonar, autonomous underwater vehicles, baited remote underwater video (pelagic and demersal), towed imagery, sleds and trawls, and grabs and box corers. These platforms were identified based on frequency of use in previous open water sampling and monitoring programs. Stakeholder feedback revealed several key sampling platforms and data types not included in the original release, as well as a possible need for field manuals related to cultural or socioeconomic standard operating procedures (SOPs). The current report scopes the need and feasibility of developing new field manuals as related to monitoring Australia\u2019s waters for the following: \u2022 Remote operating vehicles (ROVs) \u2022 Passive acoustic monitoring (PAM) \u2022 Sub-bottom profiling (SBP) \u2022 Drones \u2022 Satellite imagery \u2022 Marine plastics \u2022 Environmental DNA (e-DNA) \u2022 Plankton \u2022 Sampling for Sea Country \u2022 Socioeconomic monitoring Based on recommendations provided here, an ROV field manual seems necessary and achievable for the NESP Marine Hub program in 2019-2020, while the new NESP Project D6 will provide foundations in 2019-2020 from which a new SOP on socioeconomic monitoring may eventuate. A further six SOPs and associated field manuals may be developed in the future (UVC, PAM, SBP, drones, e-DNA, plankton), assuming suitable resources are secured, including a champion to chair a collaborative working group and lead the development of a field manual. Recommendations from this report indicate that three of the scoped SOPs are not needed, either due to a scope too broad to allow a national SOP (satellite imagery) or other initiatives that are already in advanced development stages (marine plastics, sampling for Sea Country). - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2389", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2389", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2389", "url": "https:\/\/hdl.handle.net\/11329\/2389" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Bodrossy, Lev" }, { "@type": "Person", "name": "Carroll, Andrew" }, { "@type": "Person", "name": "Cheal, Alistair" }, { "@type": "Person", "name": "Depczynski, Martial" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Hardesty, Britta Denise" }, { "@type": "Person", "name": "Hedge, Paul" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Lepastrier, Aero" }, { "@type": "Person", "name": "Mancini, Sebastien" }, { "@type": "Person", "name": "Miller, Karen" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Navarro, Matt" }, { "@type": "Person", "name": "Nichol, Scott" }, { "@type": "Person", "name": "Sagar, Stephen" }, { "@type": "Person", "name": "Stuart-Smith, Rick" }, { "@type": "Person", "name": "van de Kamp, Jodie" }, { "@type": "Person", "name": "Williams, Joel" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia, Marine Biodiversity Hub" } ], "keywords": [ "Standard Operating Procedures (SOP)", "Field mauals", "Monitoring", "Sampling platforms", "Multibeam sonar", "Autonomous Underwater Vehicles (AUV)", "Baited remote underwater video (pelagic and demersal)", "Towed imagery", "Sleds", "Trawls", "Grabs", "Box corers", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2526", "name": "DIN EN 17204. Water quality - Guidance on analysis of mesozooplankton from marine and brackish waters.", "description": " - This document specifies a procedure for analysing mesozooplankton in marine and brackish waters. The procedures comprise how to identify and enumerate zooplankton to estimate quantitative information on diversity, abundance and biomass with regard to spatial distribution and long-term temporal trends for a given body of water. - , - Published - , - Refereed - , - Current - , - 14.a - , - Zooplankton abundance and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2526", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2526", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2526", "url": "https:\/\/hdl.handle.net\/11329\/2526" }, "contributor": [ { "@type": "Organization", "name": "Deutsches Institut f\u00fcr Normung (DIN)" } ], "keywords": [ "Zooplankton", "Zooplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/896", "name": "Report of acoustic processing routines & quality checking methods. Version 1.1. [D3.1]", "description": " - The mesopelagic (200-1000 m depth), is one of the most understudied regions in the world oceans (St John et al. 2016). Micronekton (~1 to 20 cm in length, Kloser et al. 2009) are an ecologically important component of the mesopelagic community, having potentially large biomasses (Irigoien et al. 2014), high nutritional value (Lea et al. 2002), transferring carbon from the surface to depth (Anderson et al. 2018), and of commercial interest (Gj\u00f8s\u00e6ter and Kawaguchi 1980; St John et al. 2016). Notoriously hard to sample, due to poor sampling efficiency of nets, observations within the mesopelagic zone are frequently made using active acoustics (Simmonds and MacLennan 2005). Whereby, echosounders produce a pulse of sound and receive echoes backscattered from organisms, objects and discontinuities in the water. Measurement of the time delay of the received acoustic signal and quantification of the intensity of the returned sound reveals information about the source of the scattering and where it is in the water column (Benoit-Bird and Lawson 2016). Integrated into marine vessels, echosounders offer the ability to make measurements spanning high and wide spatial and temporal scales. Acoustic methods are widely using in fisheries research for pelagic fish estimation and ecosystembased management (Bertrand et al. 2003; Simmonds and MacLennan 2005). Dedicated acoustic survey programmes to count, map and predict fishing conditions commenced in the 1970s (Fernandes et al. 2002), and have expanded now to multi-national surveys covering sea and basin scales such as the International Blue Whiting Spawning Stock Survey (ICES 2018; WGIPS 2017) and the CCAMLR synoptic survey for Antarctic krill (Hewitt et al. 2004). In addition, as well as fisheries research vessels, many oceanographic research vessels and fishing vessels are equipped with hull mounted echosounders, operating at a variety of frequencies (e.g., Erreur ! Source du renvoi introuvable.). Acoustic data from these and other vessels have been collected for targeted reasons (ecosystem surveys, examples) or opportunistically (as part of transit routes, Kloser et al. 2009; Behagle et al. 2016; Escobar-Flores et al. 2018). As a result acoustic data exist in vast quantities, with extensive geographical and temporal coverage, and could be considered as \u201cbig\u201d data (Colosi & Worcester, 2013) within environmental sciences. Modern acoustic data are stored digitally and collected data are archived in data centres (e.g. NOAA National Centers for Environmental Information (https:\/\/www.ngdc.noaa.gov\/mgg\/wcd\/), NERC data centres (http:\/\/www.datacentres.nerc.ac.uk) and Integrated Marine Observing System (www.imos.au). Raw acoustic data are typically stored in a proprietary format that requires specialized acoustic processing software (e.g. Echoview (www.echoview.com), LSSS (https:\/\/www.marec.no) or MOVIES 3D (Trenkel et al. 2009) or a knowledge of the file format and a scientific programming language. As a result, both IMOS and NOAA identified that enabling open-access to quality-checked, calibrated acoustic data would allow greater exploitation by non-acousticians (Kloser et al. 2009; Wall et al. 2016). Stored with a metadata convention to ensure proper documentation of how, when, why and where the data were collected, ensures consistency across datasets (ICES 2014). In order to convert raw acoustic data to a quality-checked, calibrated acoustic data, a number of steps are required (Figure 1). The quantitative use of data from more than one sensor requires that the acoustic instrument is calibrated to allow comparison. This involves characterisation of measurement accuracy and precision, and best practise is a sphere calibration (Foote et al. 1987) that measures the overall performance of an echosounder using reflections from a solid sphere of known backscattering strength (\uf073bs (m2)) (Demer et al. 2015). - , - Published - , - Refereed - , - Current - , - Fish abundance and distribution - , - Zooplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/896", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/896", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/896", "url": "https:\/\/hdl.handle.net\/11329\/896" }, "author": [ { "@type": "Person", "name": "Fielding, S." } ], "contributor": [ { "@type": "Organization", "name": "Collection Location Satellites (CLS)" } ], "keywords": [ "Acoustic data", "Mesopelagic Southern Ocean Prey and Predators (MESOPP)", "Fisheries acoustics", "Acoustic surveys", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2145", "name": "Modeling and Simulation of Aquaculture Systems.", "description": " - In this work, models for aquaculture are developed with regard to their relevance in an automated recirculation system. The three subsystems fish, water, and feed are determined as modular components. A selection of relevant variables is determined. The relationships between feed, water quality, and fish growth are described on the basis of an initially qualitative description (causal network) and quantified using ODEs. The considered water treatment systems and control devices are used to describe the relationships between filtration, fresh water addition, and water quality. The numerical system model allows simulations of the overall system behavior in time domain including the full growth phase offish. As example, the conditions using rainbow trout are simulated in a recirculating system. Influences of different variables like water temperature, pH-value, or protein content in dependency of the fish feed variables are shown, as well as the influence of plant parameters. This allows a recording of water quality and also to monitor the optimal fish growth or well-being parameters. The developed model can be extended modularly and allows further considerations and analyses for the control of the plant volume flow or for carbon dioxide gassing. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2145", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2145", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2145", "url": "https:\/\/hdl.handle.net\/11329\/2145" }, "author": [ { "@type": "Person", "name": "Viehofer, Sandra" }, { "@type": "Person", "name": "Brauer, Philipp" }, { "@type": "Person", "name": "Soffker, Dirk" } ], "keywords": [ "Aquaculture", "Recirculating systems", "Water quality", "Fish growth", "Modelling", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1862", "name": "INTERACT Fieldwork Communication and Navigation.", "description": " - When preparing for fieldwork, there is a wealth of things to keep in mind and to make decisions about. Communication and navigation are essential elements of conducting science in cold and remote areas of the world. Therefore, INTERACT and APECS have joined forces to initiate a collection of recommendations and handy tips. This guidebook aims at increasing your understanding of fieldwork-related communication and navigation to make your fieldwork experience safe and successful. In this guidebook, we compare different types of devices to ease equipment choices and match them with individual researcher needs. This includes comparisons of advantages and disadvantages of the different devices, and recommendations about which device works best in which situations. We also offer an overview of parameters such as estimated costs, coverage range, portability, reliability, accuracy, ease of use and much more that can be useful when choosing the right communication and navigation equipment. The primary target group for the book is scientists working out of arctic research stations. The book can however also be of help to other scientists working in the Arctic, to tourist guides and to more adventurous travelers. Most of the information is not only relevant for the Arctic but also for Antarctica and mountainous areas around the globe. The guidebook is closely linked with other INTERACT publications such as the INTERACT Management Planning handbook, the INTERACT Fieldwork Planning Handbook and the INTERACT Practical Field Guide. - , - European Union, INTERACT, APECS - , - Published - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1862", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1862", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1862", "url": "https:\/\/hdl.handle.net\/11329\/1862" }, "contributor": [ { "@type": "Organization", "name": "Aarhus University, DCE \u2013 Danish Centre for Environment and Energy" } ], "keywords": [ "Fieldwork", "Communication systems", "Navigation", "INTERACT", "APECS", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1468", "name": "Driven by Drones: Improving Mangrove Extent Maps Using High-Resolution Remote Sensing.", "description": " - This study investigated how different remote sensing techniques can be combined to accurately monitor mangroves. In this paper, we present a framework to use drone imagery to calculate correction factors which can improve the accuracy of satellite-based mangrove extent. We focus on semi-arid dwarf mangroves of Baja California Sur, Mexico, where the mangroves tend to be stunted in height and found in small patches, as well as larger forests. Using a DJI Phantom 4 Pro, we imaged mangroves and labeled the extent by manual classification in QGIS. Using ArcGIS, we compared satellite-based mangrove extent maps from Global Mangrove Watch (GMW) in 2016 and Mexico\u2019s national government agency (National Commission for the Knowledge and Use of Biodiversity, CONABIO) in 2015, with extent maps generated from in situ drone studies in 2018 and 2019. We found that satellite-based extent maps generally overestimated mangrove coverage compared to that of drone-based maps. To correct this overestimation, we developed a method to derive correction factors for GMW mangrove extent. These correction factors correspond to specific pixel patterns generated from a convolution analysis and mangrove coverage defined from drone imagery. We validated our model by using repeated k-fold cross-validation, producing an accuracy of 98.3% \u00b1 2.1%. Overall, drones and satellites are complementary tools, and the rise of machine learning can help stakeholders further leverage the strengths of the two tools, to better monitor mangroves for local, national, and international management. - , - Drone imaging manual: held: http:\/\/dx.doi.org\/10.25607\/OBP-969 - , - Refereed - , - 14.5 - , - Mangrove cover and composition - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1468", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1468", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1468", "url": "https:\/\/hdl.handle.net\/11329\/1468" }, "author": [ { "@type": "Person", "name": "Hsu, Astrid" }, { "@type": "Person", "name": "Kumagai, Joy" }, { "@type": "Person", "name": "Favoretto, Fabio" }, { "@type": "Person", "name": "Dorian, John" }, { "@type": "Person", "name": "Guerrero Martinez, Benigno" }, { "@type": "Person", "name": "Aburto-Oropeza, Octavio" } ], "keywords": [ "Drone", "UAV", "Unmanned aerial vehicles", "Mangrove monitoring", "Geographic Information Systems (GIS)", "Convolution", "Area correction", "International committments", "Parameter Discipline::Environment", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/728", "name": "Performance Verification Statement for Systea WIZ Probe Phosphate Analyzer.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ nutrient analyzers during 2016 to characterize performance measures of accuracy, precision and reliability. The verification including a week of laboratory testing along with three moored field deployments in freshwater, estuarine, and oceanic coastal environments. Laboratory tests of accuracy, precision, and range were conducted at the University of Maryland\u2019s Chesapeake Biological Laboratory (CBL) in Solomons, MD. A series of five tests were conducted to evaluate performance under controlled challenge conditions including: concentration range, temperature, salinity, turbidity, and dissolved organic carbon. All laboratory tests were conducted in 250 L polypropylene tanks using RO water as the initial matrix, within a temperature controlled room. Instruments sampled from a common, well-mixed, test tank maintained at a documented level of known challenge condition. Instruments were set-up by the manufacturer daily prior to the start of each individual laboratory tests, exposed to each test condition for a period of three hours, and programmed to sample at a minimum frequency of 30 minutes. Reference samples were collected every 30 minutes for five timepoints during corresponding instrument sampling times for each test. For the laboratory concentration range challenge the absolute difference between the Systea-PO4 and reference measurement across all timepoints for trials C0 \u2013 C5 ranged from 0.0067 to 0.0277 mgP\/L, with a mean of 0.0041 \u00b10.0091 mgP\/L. There was a small but significant increase in the measurement difference with increasing concentration as determined by linear regression (p=0.02; r2=0.20). However, the change in accuracy mostly occurred at the highest two test concentrations (0.406 and 1.87 mgP\/L) with absolute measurement errors of 0.022 and 0.171 mgP\/L, respectively. An assessment of precision was performed by computing the standard deviations and coefficients of variation of the five replicate measurements for C1 \u2013 C5 concentration trials. The standard deviation of the mean ranged from 0.0005 to 0.0040 mgP\/L across the five trials, and the coefficient of variation ranged from 0.93 to 4.75 %. For the laboratory temperature challenge with testing at 5 oC, the absolute difference between instrument and reference measurement across all timepoints for trials C2 \u2013 C4 ranged from -0.0026 to 0.0170 mgP\/L, with a mean of 0.010 \u00b10.005 mgP\/L. Measurement differences were significantly higher at 5 oC versus 20 oC for each of three concentration test with the increased offset being 0.007, 0.005 and 0.017 mgP\/L greater, respectively, for C2, C3, and C4. Similar to test results at 20 oC, there was a much larger offset at the C4 level compared to the lower two concentrations for the 5 oC test. For the laboratory salinity challenge performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the three added salinity levels ranged from 0.0030 to 0.0333 mgP\/L, with a mean of 0.0205 \u00b10.0078 mgP\/L. There was a statistically significant response to increased salinity with measurement offsets increasing (over-predicted) as salinity increased. A linear regression of the measurement differences versus salinity was significant (p<0.001; r2=0.86) with a slope of 0.0009 and intercept of -0.0010. The average offset at salinity 30 was around 0.028 mgP\/L higher than for the zero salinity trial which corresponded to a relative error of approximately 90%. For the laboratory turbidity challenge, performed at the C3 concentration level, the absolute difference between instrument and reference measurement across all timepoints for the two added turbidity levels ranged from -0.0208 to 0.0046 mgP\/L, with a mean of -0.0079 \u00b10.0091 mgP\/L. A linear regression of the measurement differences versus turbidity was significant (p<0.01; r2=0.59), with a slope of -0.0008 and intercept of 0.004, however the trend line was clearly forced by the large decrease at 100 NTU and test results should not be interpreted to suggest a strong predictable relationship. For the laboratory DOC challenge, pabsolute difference between instrument and reference measurement across all timepoints for the two added DOC levels ranged from -0.0018 to 0.0100 mgP\/L, with a mean of 0.0018 \u00b10.0034 mgP\/L. A linear regression of the measurement differences versus DOC concentration was not significant (p=0.71; r2=0.01). A 32 day deployment occurred from May 26 through June 27 in the Maumee River, at the facilities of the Bowling Green, Ohio Water Treatment Plant. The Systea-PO4 operated successfully during the entire 32 day deployment sampling at 15 minute intervals. The Systea-PO4 generated 3031 observations out of a possible 3052 for a data completion result of 99.3%. During the deployment 21 data points were not reported by the instrument. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=50 of a possible 51 observations) over the total deployment was 0.004 \u00b1 0.024 mgP\/L with a total range of -0.086 to 0.035 mgP\/L. There was no significant trend in measurement difference over time as estimated by linear regression (p= 0.86; r2=0.001). A linear regression of instrument versus reference measurement was significant (p<0.01; r2 = 0.25) but with a slope of only 0.28 and intercept of 0.019. Measurement accuracy clearly declined when concentrations exceeded 0.05 mgP\/L. An 84 day moored field test was conducted in Chesapeake Bay from July 18 to October 10, 2016. The Systea-PO4 operated continuously for the period of its deployment sampling at 30 minute intervals but was retrieved 12 days prior to the scheduled end date of the deployment to send to the next field test in HI. While the unit was deployed it reported 3086 of a possible 3402 accepted values for a data completion result of 90.7%. During its operation, 64 values were flagged by the instrument with no data, and 252 were omitted as outliers when reported values exceeded 10 times above observed levels or were less than -0.004. The average and standard deviation of the measurement difference between instrument and reference PO4 measurements for each matched pair (n=78 of a possible 103 observations) over the total deployment was 0.019 \u00b10.014 mgP\/L, with the total range of differences between -0.019 to 0.049 mgP\/L. There was no significant trend in measurement difference over time as estimated by linear regression (p=0.58; r2=0.004) over the deployment period. A linear regression of the instrument versus reference measurements was not significant (p=0.58; r2 = 0.004) and the instrument generally over-predicted concentrations. A one month long moored field test was conducted in Kaneohe Bay from October 3, 2016 to November 2, 2016. The Systea-PO4 was deployed on day four of the field test and operated successfully for the remaining 26 days of the deployment. During the deployment the Systea-PO4 returned 2477 acceptable instrument measurements of a possible 2496 measurements for a data completion result of 99% (13 data points were not reported and 6 observations were omitted as outliers having values >10x maximum reference). The average and standard deviation of the differences between instrument and reference readings over the entire deployment (n=63 out of a possible 63) were -0.0004 \u00b1 0.002 mgP\/L, with a total range of -0.0058 to 0.0044 mgP\/L. There was a small but statistically significant trend in the measurement difference over time (p=0.0003; r2 = 0.247) during the deployment, with a slope of 0.0001 mgP\/L\/d. A linear regression of the instrument versus reference data was highly significant but with a low regression coefficient (p=0.001; r2 = 0.209). The regression had a slope of 0.999 and y intercept of -0.0004. Under and over predictions were fairly evenly distributed - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/728", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/728", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/728", "url": "https:\/\/hdl.handle.net\/11329\/728" }, "author": [ { "@type": "Person", "name": "Johengen, T" }, { "@type": "Person", "name": "Purcell, H" }, { "@type": "Person", "name": "Tamburri, M" }, { "@type": "Person", "name": "Loewensteine, D" }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "McManus, M." }, { "@type": "Person", "name": "Walker, G." }, { "@type": "Person", "name": "Stauffer, B." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1461", "name": "A field and video annotation guide for baited remote underwater stereo-video surveys of demersal fish assemblages. [GOOS ENDORSED PRACTICE]", "description": " - 1. Baited remote underwater stereo-video systems (stereo-BRUVs) are a popular tool to sample demersal fish assemblages and gather data on their relative abundance and body size structure in a robust, cost-effective and non-invasive manner. Given the rapid uptake of the method, subtle differences have emerged in the way stereo-BRUVs are deployed and how the resulting imagery is annotated. These disparities limit the interoperability of datasets obtained across studies, preventing broadscale insights into the dynamics of ecological systems. 2. We provide the first globally accepted guide for using stereo-BRUVs to survey demersal fish assemblages and associated benthic habitats. 3. Information on stereo-BRUVs design, camera settings, field operations and image annotation are outlined. Additionally, we provide links to protocols for data validation, archiving and sharing. 4. Globally, the use of stereo-BRUVs is spreading rapidly. We provide a standardized protocol that will reduce methodological variation among researchers and encourage the use of Findable, Accessible, Interoperable and Reusable workflows to increase the ability to synthesize global datasets and answer a broad suite of ecological questions. - , - Also issued in : Przeslawski, R. and Foster, S. [eds] (2024). Field Manuals for Marine Sampling to Monitor Australian Waters, Version 3. Canberra, Australia, National Environment Science Program (NESP), Marine and Coastal Hub. DOI: https:\/\/doi.org\/10.25607\/OBP-918.2 - , - Refereed - , - FRENCH === 1. Les syst\u00e8mes st\u00e9r\u00e9o-vid\u00e9o sous-marins app\u00e2t\u00e9s (st\u00e9r\u00e9o-BRUV) sont un outil populaire pour \u00e9chantillonner les assemblages de poissons d\u00e9mersaux et recueillir des donn\u00e9es sur leur abondance relative et leur structure de taille corporelle de mani\u00e8re robuste, rentable et non invasive. Compte tenu de l'adoption rapide de la m\u00e9thode, des diff\u00e9rences subtiles sont apparues dans la mani\u00e8re dont les st\u00e9r\u00e9o-BRUV sont d\u00e9ploy\u00e9s et dont l'imagerie r\u00e9sultante est annot\u00e9e. Ces disparit\u00e9s limitent l'interop\u00e9rabilit\u00e9 des ensembles de donn\u00e9es obtenus \u00e0 travers les \u00e9tudes, emp\u00eachant un aper\u00e7u \u00e0 grande \u00e9chelle de la dynamique des syst\u00e8mes \u00e9cologiques. 2. Nous fournissons le premier guide mondialement accept\u00e9 pour l'utilisation de st\u00e9r\u00e9o-BRUV pour \u00e9tudier les assemblages de poissons d\u00e9mersaux et les habitats benthiques associ\u00e9s. 3. Des informations sur la conception des st\u00e9r\u00e9o-BRUV, les param\u00e8tres de la cam\u00e9ra, les op\u00e9rations sur le terrain et l'annotation des images sont d\u00e9crites. De plus, nous fournissons des liens vers des protocoles pour la validation, l'archivage et le partage des donn\u00e9es. 4. \u00c0 l'\u00e9chelle mondiale, l'utilisation des st\u00e9r\u00e9o-BRUV se r\u00e9pand rapidement. Nous fournissons un protocole standardis\u00e9 qui r\u00e9duira les variations m\u00e9thodologiques entre les chercheurs et encouragera l'utilisation de flux de travail trouvables, accessibles, interop\u00e9rables et r\u00e9utilisables pour augmenter la capacit\u00e9 de synth\u00e9tiser des ensembles de donn\u00e9es mondiaux et de r\u00e9pondre \u00e0 un large \u00e9ventail de questions \u00e9cologiques. - , - GERMAN === Mit K\u00f6dern versehene Unterwasser-Stereo-Videosysteme (Stereo-BRUVs) sind ein beliebtes Werkzeug, um Grundfischbest\u00e4nde zu beproben und auf robuste, kosteng\u00fcnstige und nicht-invasive Weise Daten \u00fcber deren relative H\u00e4ufigkeit und K\u00f6rpergr\u00f6\u00dfenstruktur zu sammeln. Angesichts der schnellen Verbreitung der Methode sind subtile Unterschiede in der Art und Weise entstanden, wie Stereo-BRUVs eingesetzt werden und wie die resultierenden Bilder mit Anmerkungen versehen werden. Diese Unterschiede schr\u00e4nken die Interoperabilit\u00e4t der studien\u00fcbergreifend gewonnenen Datens\u00e4tze ein und verhindern umfassende Einblicke in die Dynamik \u00f6kologischer Systeme. 2. Wir bieten den ersten weltweit anerkannten Leitfaden f\u00fcr die Verwendung von Stereo-BRUVs zur Untersuchung von Grundfischbest\u00e4nden und zugeh\u00f6rigen benthischen Lebensr\u00e4umen. 3. Informationen zum Design von Stereo-BRUVs, Kameraeinstellungen, Feldoperationen und Bildkommentaren werden erl\u00e4utert. Dar\u00fcber hinaus stellen wir Links zu Protokollen zur Datenvalidierung, Archivierung und Weitergabe bereit. 4. Weltweit verbreitet sich der Einsatz von Stereo-BRUVs rasant. Wir stellen ein standardisiertes Protokoll bereit, das methodische Unterschiede zwischen Forschern verringert und die Verwendung auffindbarer, zug\u00e4nglicher, interoperabler und wiederverwendbarer Arbeitsabl\u00e4ufe f\u00f6rdert, um die F\u00e4higkeit zur Synthese globaler Datens\u00e4tze und zur Beantwortung einer breiten Palette \u00f6kologischer Fragen zu verbessern. - , - PORTUGUESE === Sistemas de v\u00eddeo est\u00e9reo subaqu\u00e1ticos remotos com iscas (Stereo-BRUVs) s\u00e3o uma ferramenta popular para amostrar conjuntos de peixes demersais e coletar dados sobre sua abund\u00e2ncia relativa e estrutura de tamanho corporal de maneira robusta, econ\u00f4mica e n\u00e3o invasiva. Dada a r\u00e1pida aceita\u00e7\u00e3o do m\u00e9todo, surgiram diferen\u00e7as sutis na forma como os BRUVs est\u00e9reo s\u00e3o implantados e como as imagens resultantes s\u00e3o anotadas. Essas disparidades limitam a interoperabilidade dos conjuntos de dados obtidos entre os estudos, impedindo insights em larga escala sobre a din\u00e2mica dos sistemas ecol\u00f3gicos. 2. Fornecemos o primeiro guia globalmente aceito para o uso de est\u00e9reo-BRUVs para levantamento de conjuntos de peixes demersais e habitats bent\u00f4nicos associados. 3. S\u00e3o descritas informa\u00e7\u00f5es sobre design de BRUVs est\u00e9reo, configura\u00e7\u00f5es de c\u00e2mera, opera\u00e7\u00f5es de campo e anota\u00e7\u00e3o de imagem. Al\u00e9m disso, fornecemos links para protocolos de valida\u00e7\u00e3o, arquivamento e compartilhamento de dados. 4. Globalmente, o uso de est\u00e9reo-BRUVs est\u00e1 se espalhando rapidamente. Fornecemos um protocolo padronizado que reduzir\u00e1 a varia\u00e7\u00e3o metodol\u00f3gica entre os pesquisadores e incentivar\u00e1 o uso de fluxos de trabalho Localiz\u00e1veis, Acess\u00edveis, Interoper\u00e1veis e Reutiliz\u00e1veis para aumentar a capacidade de sintetizar conjuntos de dados globais e responder a um amplo conjunto de quest\u00f5es ecol\u00f3gicas. - , - SPANISH === Los sistemas remotos de video est\u00e9reo subacu\u00e1tico con cebo (est\u00e9reo-BRUV) son una herramienta popular para muestrear conjuntos de peces demersales y recopilar datos sobre su abundancia relativa y estructura de tama\u00f1o corporal de una manera robusta, rentable y no invasiva. Dada la r\u00e1pida adopci\u00f3n del m\u00e9todo, han surgido diferencias sutiles en la forma en que se implementan los BRUV est\u00e9reo y c\u00f3mo se anotan las im\u00e1genes resultantes. Estas disparidades limitan la interoperabilidad de los conjuntos de datos obtenidos a trav\u00e9s de los estudios, lo que impide obtener informaci\u00f3n a gran escala sobre la din\u00e1mica de los sistemas ecol\u00f3gicos. 2. Brindamos la primera gu\u00eda aceptada a nivel mundial para el uso de est\u00e9reo-BRUV para estudiar conjuntos de peces demersales y h\u00e1bitats bent\u00f3nicos asociados. 3. Se describe la informaci\u00f3n sobre el dise\u00f1o de est\u00e9reo-BRUV, la configuraci\u00f3n de la c\u00e1mara, las operaciones de campo y la anotaci\u00f3n de im\u00e1genes. Adem\u00e1s, proporcionamos enlaces a protocolos para la validaci\u00f3n, el archivo y el intercambio de datos. 4. A nivel mundial, el uso de est\u00e9reo-BRUV se est\u00e1 extendiendo r\u00e1pidamente. Brindamos un protocolo estandarizado que reducir\u00e1 la variaci\u00f3n metodol\u00f3gica entre los investigadores y fomentar\u00e1 el uso de flujos de trabajo encontrables, accesibles, interoperables y reutilizables para aumentar la capacidad de sintetizar conjuntos de datos globales y responder a un amplio conjunto de preguntas ecol\u00f3gicas. - , - 14.A - , - Fish abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1461", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1461", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1461", "url": "https:\/\/hdl.handle.net\/11329\/1461" }, "author": [ { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Goetze, Jordan S." }, { "@type": "Person", "name": "Bond, Todd" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Abesamis, Rene A." }, { "@type": "Person", "name": "Asher, Jacob" }, { "@type": "Person", "name": "Barrett, Neville" }, { "@type": "Person", "name": "Bernard, Anthony T.F." }, { "@type": "Person", "name": "Bouchet, Phil J." }, { "@type": "Person", "name": "Birt, Matthew J." }, { "@type": "Person", "name": "Cappo, Mike" }, { "@type": "Person", "name": "Currey-Randall, Leanne M." }, { "@type": "Person", "name": "Driessen, Damon" }, { "@type": "Person", "name": "Fairclough, David V." }, { "@type": "Person", "name": "Fullwood, Laura A. F." }, { "@type": "Person", "name": "Gibbons, Brooke A." }, { "@type": "Person", "name": "Harasti, David" }, { "@type": "Person", "name": "Heupel, Michelle R." }, { "@type": "Person", "name": "Hicks, Jamie" }, { "@type": "Person", "name": "Holmes, Thomas H." }, { "@type": "Person", "name": "Huveneers, Charlie" }, { "@type": "Person", "name": "Ierodiaconou, Daniel" }, { "@type": "Person", "name": "Jordan, Alan" }, { "@type": "Person", "name": "Knott, Nathan A." }, { "@type": "Person", "name": "Lindfield, Steve" }, { "@type": "Person", "name": "Malcolm, Hamish A." }, { "@type": "Person", "name": "McLean, Dianne" }, { "@type": "Person", "name": "Meekan, Mark" }, { "@type": "Person", "name": "Miller, David" }, { "@type": "Person", "name": "Mitchell, Peter J." }, { "@type": "Person", "name": "Newman, Stephen J." }, { "@type": "Person", "name": "Radford, Ben" }, { "@type": "Person", "name": "Rolim, Fernanda A." }, { "@type": "Person", "name": "Saunders, Benjamin J." }, { "@type": "Person", "name": "Stowar, Marcus" }, { "@type": "Person", "name": "Smith, Adam N. H." }, { "@type": "Person", "name": "Travers, Michael J." }, { "@type": "Person", "name": "Wakefield, Corey B." }, { "@type": "Person", "name": "Whitmarsh, Sasha K." }, { "@type": "Person", "name": "Williams, Joel" }, { "@type": "Person", "name": "Harvey, Euan S." } ], "keywords": [ "Population ecology", "Monitoring", "Sampling", "Baited Remote Underwater Video (BRUV)", "Video", "Fish assemblages", "GOOS Endorsed Practice", "Benthic habitat", "Parameter Discipline::Biological oceanography::Fish", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1600", "name": "Advancing Marine Biogeochemical and Ecosystem Reanalyses and Forecasts as Tools for Monitoring and Managing Ecosystem Health.", "description": " - Ocean ecosystems are subject to a multitude of stressors, including changes in ocean physics and biogeochemistry, and direct anthropogenic influences. Implementation of protective and adaptive measures for ocean ecosystems requires a combination of ocean observations with analysis and prediction tools. These can guide assessments of the current state of ocean ecosystems, elucidate ongoing trends and shifts, and anticipate impacts of climate change and management policies. Analysis and prediction tools are defined here as ocean circulation models that are coupled to biogeochemical or ecological models. The range of potential applications for these systems is broad, ranging from reanalyses for the assessment of past and current states, and short-term and seasonal forecasts, to scenario simulations including climate change projections. The objectives of this article are to illustrate current capabilities with regard to the three types of applications, and to discuss the challenges and opportunities. Representative examples of global and regional systems are described with particular emphasis on those in operational or pre-operational use. With regard to the benefits and challenges, similar considerations apply to biogeochemical and ecological prediction systems as do to physical systems. However, at present there are at least two major differences: (1) biogeochemical observation streams are much sparser than physical streams presenting a significant hinderance, and (2) biogeochemical and ecological models are largely unconstrained because of insufficient observations. Expansion of biogeochemical and ecological observation systems will allow for significant advances in the development and application of analysis and prediction tools for ocean biogeochemistry and ecosystems, with multiple societal benefits. - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1600", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1600", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1600", "url": "https:\/\/hdl.handle.net\/11329\/1600" }, "author": [ { "@type": "Person", "name": "Fennel, K." }, { "@type": "Person", "name": "Gehlen, M." }, { "@type": "Person", "name": "Brasseur, P." }, { "@type": "Person", "name": "Brown, C.W." }, { "@type": "Person", "name": "Ciavatta, S." }, { "@type": "Person", "name": "Cossarini, G." }, { "@type": "Person", "name": "Crise, A." }, { "@type": "Person", "name": "Edwards, C.A." }, { "@type": "Person", "name": "Ford, D." }, { "@type": "Person", "name": "Friedrichs, M.A.M." }, { "@type": "Person", "name": "Gregoire, M." }, { "@type": "Person", "name": "Jones, E." }, { "@type": "Person", "name": "Kim, H-C." }, { "@type": "Person", "name": "Lamouroux, J." }, { "@type": "Person", "name": "Murtugudde, R." }, { "@type": "Person", "name": "Perruche, C." } ], "keywords": [ "Biogeochemical model", "Forecasting", "Reanalysis", "Climate projection", "Scenario", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2442", "name": "Sediment Sample Collection and Preparation for the Analysis of Plastic-Related Pollutants.", "description": " - As research on plastic-related pollutants grows in Africa, it will become increasingly important to use harmonized methods to prepare and analyse samples for further analyses, so that results can be compared across the continent, and even globally. As such, in 2022 Sustainable Seas Trust hosted a workshop with researchers from African countries, to demonstrate methods for preparing biological samples (in that case, fish and bivalves) for the analysis of plastic-related pollutants. At the workshop, delegates expressed an interest in methods for preparing sediment samples for plastic-related pollutants, and that is how this chapter (Chapter 4) came into being. Chapter 4 has been published as an individual stand-alone chapter, but it forms part of the 2022 edition of the Sample Preparation Manual for the Analysis of Plastic-Related Pollutants. Plastic-related pollutants can accumulate in sediment, posing a risk to benthic organisms, and therefore it is important to determine baselines for Africa as well as monitoring pollutant levels. As with the third chapter, Chapter 4 includes many photographs taken in real-life field and laboratory conditions, to cater for researchers who may not have English as a first language or who may be new to this kind of work. Dr Brent Newman has been instrumental in developing this chapter and writes from years of experience of collecting sediment (amongst other) samples. Dr Danica Marlin Head of Research at Sustainable Seas Trust - , - Published - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Multi-organisational - , - National - , - International - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2442", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2442", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2442", "url": "https:\/\/hdl.handle.net\/11329\/2442" }, "author": [ { "@type": "Person", "name": "Newman, Brent" }, { "@type": "Person", "name": "Fourie, Amarein J." } ], "contributor": [ { "@type": "Organization", "name": "Sustainable Seas Trust" } ], "keywords": [ "Pollutants", "Sediment", "Sediment pollution", "Plastic pollution", "Anthropogenic contamination", "sediment grabs", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/91", "name": "Procedure for Sampling the Sea-Surface Microlayer.", "description": " - water sampling; sea water; surface water; marine pollution; guides - , - The IOC Manuals and Guides No 15 contributes to the Marine Pollution Monitoring Programme for Petroleum (MARPOLMON-P) and complements IOC Manuals and Guides 13 \"Manual for Monitoring Oil and Dissolved\/Dispersed Petroleum Hydrocarbons in Marine Waters and on Beaches.\" IOC Manuals and Guides No 15 describes methodology tested and shown to be appropriate for the sampling of the sea-surface microlayer. - , - http:\/\/unesdoc.unesco.org\/images\/0006\/000659\/065956eo.pdf - , - check with IOC HAB to see if dodument is relevant to JCOMM Catalogue - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/91", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/91", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/91", "url": "https:\/\/hdl.handle.net\/11329\/91" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Sea surface observation", "Microalgae" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/302", "name": "Handbook of best practices for open ocean fixed observatories.", "description": " - This handbook collects the \u201cbest practices\u201d in all phases of the system covering the entire infrastructural chain of data acquisition. It includes recommendations on how to produce high quality data aiming towards common methodologies and protocols within the FixO3 network. The Fixed point Open Ocean Observatory network (FixO3) seeks to integrate European open ocean fixed point observatories and to improve access to these key installations for the broader community. This network integrates open ocean moorings, surface buoys and deep cable observatories included in the ERIC EMSO. - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/302", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/302", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/302", "url": "https:\/\/hdl.handle.net\/11329\/302" }, "author": [ { "@type": "Person", "name": "Coppola, L." }, { "@type": "Person", "name": "Ntoumas, M." }, { "@type": "Person", "name": "Bozzano, R." }, { "@type": "Person", "name": "Bensi, M." }, { "@type": "Person", "name": "Hartman, S. E." }, { "@type": "Person", "name": "Charcos Llorens, M." }, { "@type": "Person", "name": "Craig, J." }, { "@type": "Person", "name": "Rolin, J-F." }, { "@type": "Person", "name": "Giovanetti, G." }, { "@type": "Person", "name": "Cano, D." }, { "@type": "Person", "name": "Karstensen, J." }, { "@type": "Person", "name": "Cianca, A." }, { "@type": "Person", "name": "Toma, D." }, { "@type": "Person", "name": "Stasch, C." }, { "@type": "Person", "name": "Pensieri, S." }, { "@type": "Person", "name": "Cardin, V." }, { "@type": "Person", "name": "Tengberg, A." }, { "@type": "Person", "name": "Petihakis, G." }, { "@type": "Person", "name": "Cristini, L." } ], "contributor": [ { "@type": "Organization", "name": "European Commission, Fix03 Project" } ], "keywords": [ "Mooring", "Surface buoy", "Deep cable observatories", "Fix03 project", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::dissolved gas sensors", "Instrument Type Vocabulary::fluorometers", "Instrument Type Vocabulary::nutrient analysers", "Instrument Type Vocabulary::pH sensors", "Instrument Type Vocabulary::sediment traps", "Instrument Type Vocabulary::seismometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/884", "name": "Guidelines for the delayed mode scientific correction of glider data. WP 5 , Task 5.7, D5.15. Version 4.1.", "description": " - Gliders are a rapidly maturing class of marine observing vehicles that offer long duration, some operate for several months at a time, autonomous ocean profiling in all weather conditions and sea states, to depths typically up to 1000 m. Gliders operate through using the profiling float principle of controlling buoyancy by pumping oil between reservoirs internal and external to their pressure hull; but unlike profiling floats they balance their buoyancy against lift on a pair of short wings, controlling their centre of gravity and therefore pitch and roll through the movement of weight, conveniently their battery packs, within the pressure hull. In this way glider vehicles glide through the water column, with horizontal and vertical speed components of around 25 cm s-1. Glider vehicles are typically just over one metre in length and as standard they will have a payload bay equipped with the generic triplet combination of conductivity, temperature and pressure sensors. In addition many will be specified with oxygen sensors and\/or a suite of fluorescence and optical backscatter sensors. More unusually they have now been equipped with passive acoustic monitoring equipment and even a vessel mounted ADCP. Some gliders have been externally fitted with UV absorption nitrate sensors, and turbulence\/microstructure instruments. Gliders constitute an essential component of coastal observing systems for a number of reasons. Although flying gliders still has a significant manual component, albeit remote, requiring well trained glider pilots, and deployment and recovery, they are highly cost effective compared to ship based operations. Although slower moving than a research vessel, gliders are capable of acquiring data at a higher temporal and spatial resolution than was previously economically practical, and are able to operate even in rough sea states. The spatial and temporal resolutions of coastal data and their quality are of crucial importance to adequately respond to scientific and societal challenges. In order to generate data of high scientific quality, calibration\/correction has to be applied in two steps after a glider mission. While the first calibration is done routinely using the manufacturer\u2019s software, the second is referred to as delayed mode scientific correction. The first calibration is generally applied in real-time and includes a set of specific calibration expressions depending on the sensor type and model with the last manufacturer's calibration coefficients. Whilst instrument manufacturers have significantly improved laboratory calibrations and instrument stability, the effectiveness of gliders as an instrument platform is still limited by the ability to ensure the observations are in-field corrected to a world class standard. This second stage correction requires a careful comparison with measurements acquired by other platforms and instruments in the same region during a sensibly common period. This report focuses on the standards and methods of operation to achieve this. - , - 654410 - JERICO-NEXT - H2020-INFRAIA-2014-2015 - , - Published - , - Refereed - , - Current - , - Subsurface Salinity - , - TRL 5 System\/subsystem\/component validation in relevant environment - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/884", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/884", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/884", "url": "https:\/\/hdl.handle.net\/11329\/884" }, "author": [ { "@type": "Person", "name": "Allen, John T." }, { "@type": "Person", "name": "Fuda, Jean-Luc" }, { "@type": "Person", "name": "Perivoliotis, Leonidas" }, { "@type": "Person", "name": "Munoz-Mas, Cristian" }, { "@type": "Person", "name": "Alou, Eva" }, { "@type": "Person", "name": "Reeve, Krissy" } ], "contributor": [ { "@type": "Organization", "name": "SOCIB - Balearic Islands Coastal Observing and Forecasting System for JERICO-NEXT" } ], "keywords": [ "Glider", "JERICO", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data quality control", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/838", "name": "CTD Data Quality Control at STS\/ODF [Presentation at QARTOD III, November 2\u20134, 2005]", "description": " - The Scripps Institute of Oceanography \/ Shipboard Technical Support \/ Oceanographic Data Facility collects and quality controls shipboard Conductivity \/ Temperature \/ Depth profiles. The SIO\/STS\/ODF is introduced and the technology used to gather CTD data is reviewed. The World Ocean Circulation Experiment hydrographic programme data reporting requirements, data quality goals, and data flagging standards are provided. Graphic examples of the results of shipboard data corrections are presented. - , - Unpublished - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/838", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/838", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/838", "url": "https:\/\/hdl.handle.net\/11329\/838" }, "author": [ { "@type": "Person", "name": "Johnson, Mary Carol" } ], "contributor": [ { "@type": "Organization", "name": "Scripps Institution of Oceanography (SIO), Shipboard Technical Support (STS), Oceanographic Data Facility (ODF)" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2573", "name": "Documentation of MuSTAF design 2. Version 1.0.", "description": " - This report covers the design specification of the MicroSTAF system, which has been designed and constructed within the TechOceanS programme. The ultimate target for this programme is the production of a STAF-based system for the evaluate of primary productivity by phytoplankton (PhytoPP) while deployed on small Autonomous Underwater Vehicles (AUVs) and Uncrewed Surface Vessels (USVs). - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Phytoplankton biomass and diversity - , - Mature - , - Multi-organisational - , - Primary productivity - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2573", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2573", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2573", "url": "https:\/\/hdl.handle.net\/11329\/2573" }, "author": [ { "@type": "Person", "name": "Oxborough, Kevin M." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Single Turnover Active Fluorometry (STAF)", "Phytoplankton physiology", "MicroSTAF", "Depth sensor", "RunSTAF", "Autonomous Underwater Vehicles (AUV)", "Uncrewed Surface Vessels (USV)", "Deployment", "Phytoplankton", "fluorometers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/354", "name": "Report on data management best practice and Generic Data and Metadata models. V.2.1 [Deliverable 5.9]", "description": " - WP5 of JERICO NEXT has the main objective of enabling free and open access to data having high quality accompanied by information that allow their easy use. This requires well defined architectures, policies, practices and procedures that properly manage the full data lifecycle needs of data producers and data users. In other words, in JERICO NEXT it is essential to assure the quality of data, control, protect, deliver and enhance the value of data and information assets. Quality control of data is an essential component of oceanographic data management. Data quality control information tells users of the data how it was gathered, how it was checked, processed, what algorithms have been used, what errors were found, and how the errors have been corrected or flagged. Without it data from different sources cannot be combined or re-used to gain the advantages of integration, synthesis, and the development of long time series. Information quality means consistently meeting the information customer\u2019s expectations. Information quality means the degree to which information has content, form, and time dimensions which give it value to specific end users. Based on user requirements, ISO standards are providing the quality elements that define the extent to which data sets or data set series can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/354", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/354", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/354", "url": "https:\/\/hdl.handle.net\/11329\/354" }, "author": [ { "@type": "Person", "name": "Manzella, G." }, { "@type": "Person", "name": "Griffa, A." }, { "@type": "Person", "name": "de la Vill\u00e9on, L.P." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO-NEXT Project" } ], "keywords": [ "Open data", "Open access", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data quality control", "Data Management Practices::Data processing", "Data Management Practices::Metadata management", "Data Management Practices::Data delivery", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/244", "name": "ICES Guidelines for CTD data. (Compiled March 2000; revised August 2001; June 2006)", "description": " - CTD (conductivity, temperature and depth) instruments were introduced to the oceanography community in the late 1960's. Since then, the electronic measurement of conduct ivity, temperature and pressure provided by the CTD has become the backbone of hydrography measurements in the ocean. CTDs typically consist of an array of sensors that measure the frequency or voltage response that represents changes in an ocean paramet er. Beyond the typical conductivity and temperature sensors, CTDs may also have attached sensors for light transmission, fluorescence, oxygen content, optical backscatter and turbidity. For details regarding the use of CTDs , see the attached training annex . - , - Published - , - Surface temperature - , - Subsurface temperature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/244", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/244", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/244", "url": "https:\/\/hdl.handle.net\/11329\/244" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Conductivity", "Temperature", "Depth", "Parameter Discipline - Physical oceanography - Water column temperature and salinity", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data quality control", "Data Management Practices - Data processing", "Data Management Practices - Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2248", "name": "Deepwater Exploration Mapping Procedures Manual.", "description": " - The purpose of this manual is to describe OER\u2019s principles and procedures for deepwater ocean exploration acoustic mapping. It supports the National Strategy for Mapping, Exploring, and Characterizing the United States Exclusive Economic Zone (OPC, 2020), which was developed by the Ocean Policy Committee of the White House Office of Science and Technology Policy in coordination with NOAA. The national strategy calls for coordinating interagency mapping and exploration activities for the U.S. Exclusive Economic Zone (EEZ), developing new and emerging science and mapping technologies, building public and private partnerships, and completing mapping of the deep water of the U.S. EEZ by 2030 and the near shore by 2040. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Organisational - , - National - , - Kongsberg EM 304 Multibeam Sonar - , - Simrad EK60\/EK80 Split-beam Echosounders - , - Knudsen 3260 Sub-bottom Profiler - , - Teledyne Acoustic Doppler Current Profilers - , - Applanix POS MV - , - Kongsberg K-Sync Synchronizing Unit - , - Reson SVP-70 Probe Surface Sound Speed Sensor - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2248", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2248", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2248", "url": "https:\/\/hdl.handle.net\/11329\/2248" }, "author": [ { "@type": "Person", "name": "Hoy, Shannon" }, { "@type": "Person", "name": "Lobecker, Elizabeth" }, { "@type": "Person", "name": "Candio, Sam" }, { "@type": "Person", "name": "Sowers, Derek" }, { "@type": "Person", "name": "Froelich, Grant" }, { "@type": "Person", "name": "Jerram, Kevin" }, { "@type": "Person", "name": "Medley, Rachel" }, { "@type": "Person", "name": "Malik, Mashkoor" }, { "@type": "Person", "name": "Copeland, Adrienne" }, { "@type": "Person", "name": "Cantwell, Kasey" }, { "@type": "Person", "name": "Wilkins, Charlie" }, { "@type": "Person", "name": "Maxon, Amanda" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Office of Ocean Exploration and Research" } ], "keywords": [ "Acoustic mapping technologies", "Acoustics", "thermosalinographs", "current profilers", "bathythermographs", "multi-beam echosounders", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/633", "name": "A network gaps analysis for the national water level observation network - updated edition.", "description": " - The purpose of this report is to provide an updated deterministic assessment of the size and geospatial density of water level stations for the National Water Level Observation Network (NWLON). The original report first published in March 2008 (Gill and Fisher 2008). It provides a rationale for the number of and location of NWLON stations that is required to support NOAA Missions and Goals. The report identifies specific locations where network gaps exist. Several gaps identified in the original report have been since filled with new NWLON stations and further refinement of the NWLON gaps has been made, primarily in the arctic region. A companion technical report NOS CO-OPS 0074 (Gill, 2014) assessing the Great Lakes component of the NWLON has also been published simultaneously to provide a complete assessment of the entire NWLON. - , - Published - , - The co-author on the original report, Kathleen Fisher, no longer works for NOAA, however her contribution is recognized. Brenda Via is acknowledged for her expertise in preparation for publication. - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/633", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/633", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/633", "url": "https:\/\/hdl.handle.net\/11329\/633" }, "author": [ { "@type": "Person", "name": "Gill, Stephen K." } ], "contributor": [ { "@type": "Organization", "name": "NOAA NOS Center For Operational Oceanographic Products and Services Products and Services" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2225", "name": "Best Practices for Increasing Data Return: Case Study From Indian Ocean Observation Network", "description": " - Sustained real-time ocean observation systems using moored data buoys are vital for understanding ocean dynamics and variability, which are essential for improving oceanographic services including weather prediction, ocean state forecast, cyclone tracking, tsunami monitoring, and climate change studies. This paper describes the significant rapid restoration techniques implemented to increase the availability of the Indian Ocean observation networks over the past two decades. The efforts have helped in achieving availability of 97.9%, 82.3%, and 98.7% for the meteorological sensors, subsea surface oceanographic sensors, and tsunami buoy network, respectively. - , - Refereed - , - 14.a - , - Mature - , - Organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2225", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2225", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2225", "url": "https:\/\/hdl.handle.net\/11329\/2225" }, "author": [ { "@type": "Person", "name": "Venkatesan, Ramasamy" }, { "@type": "Person", "name": "Muthiah, Manickavasagam Arul" }, { "@type": "Person", "name": "Vengatesan, Gopalakrishnan" }, { "@type": "Person", "name": "Kesavakumar, Balakrishnan" }, { "@type": "Person", "name": "Vedachalam, Narayanaswamy" } ], "keywords": [ "Reliability", "Physical oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1170", "name": "Guide to Instruments and Methods of Observation. Volume V \u2013 Quality Assurance and Management of Observing Systems. 2018 edition.", "description": " - This chapter is general and covers operational meteorological observing systems of any size or nature. Although the guidance it gives on quality management is expressed in terms that apply to large networks of observing stations, it should be read to apply even to a single station.Quality managementQuality management provides the principles and the methodological frame for operations, and coordinates activities to manage and control an organization with regard to quality. Quality assurance and quality control are the parts of any successful quality management system. Quality assurance focuses on providing confidence that quality requirements will be fulfilled and includes all the planned and systematic activities implemented in a quality management system so that quality requirements for a product or service will be fulfilled. Quality control is associated with those components used to ensure that the quality requirements are fulfilled and includes all the operational techniques and activities used to fulfil quality requirements. This chapter concerns quality management associated with quality control and quality assurance and the formal accreditation of the laboratory activities, especially from the point of view of meteorological observations of weather and atmospheric variables.The International Organization for Standardization (ISO) 9000 family of standards is discussed to assist understanding in the course of action during the introduction of a quality management system in a National Meteorological and Hydrological Service (NMHS); this set of standards contains the minimum processes that must be introduced in a quality management system for fulfilling the requirements of the ISO 9001 standard. The total quality management concept according to the ISO 9004 guidelines is then discussed, highlighting the views of users and interested parties. The ISO\/International Electrotechnical Commission (IEC) 17025 standard is introduced. The benefits to NMHSs and the Regional Instrument Centres (RICs) from accreditation through ISO\/IEC 17025 are outlined along with a requirement for an accreditation process.The ISO\/IEC 20000 standard for information technology (IT) service management is introduced into the discussion, given that every observing system incorporates IT components. - , - Published - , - Refereed - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1170", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1170", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1170", "url": "https:\/\/hdl.handle.net\/11329\/1170" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Meteorological Instruments", "WIGOS", "CIMO Guide", "Automated Weather Observing System (AWOS)", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/442", "name": "Guideline of ocean observations. 1st edition. [Vols 1-10].[SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-772]", "description": " - In recent years we have been building our knowledge of changes within the oceans through international cooperation and collaboration, for example, by re-occupation of World Ocean Circulation Experiment (WOCE); our findings were cited in the Fifth Assessment Report from the IPCC. To implement plans to make all measurement values used in climate change research completely SI-traceable, the General Conference on Weights and Measures has been providing advice to relevant institutions. Through measures such as promulgating the use of standard materials for nutrients, we are making progress in comparability of data, research that depends on this comparability, and R&D on standard materials. However, the guidelines used for measurement and analysis do not seem to be keeping up with this progress. The Oceanographic Observation Guidelines published by the Japan Meteorological Agency in 1999 are relatively widely used in Japan, but their content is not always completely up-to-date and the Guidelines are now quite hard to obtain. In 2010, the WOCE Manual was revised and published as the GO-SHIP Oceanographic Observation Manual (IOCCP Report No.14, 2010), but this is principally for repeat hydrography in the open ocean; it was not intended to guide a wide range of users. There are a number of other manuals and guidelines available but some of them are only written in Japanese, whereas others are only written in English; moreover, they mix together up- to-date content and less up-to-date content. In this context, the Oceanographic Society of Japan (JOS) has decided to set up an editorial committee for oceanographic observation guidelines, to review and collate the various existing guidelines, and to incorporate necessary revisions and fill in any gaps. We will publish Oceanographic Observation Guidelines describing the most up-to-date oceanographic observation methods and analytical techniques, and we will make these new guidelines available through the JOS website - , - Published - , - Some chapters are still in preparation. 2nd edition under construction - , - Refereed - , - Superseded - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/442", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/442", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/442", "url": "https:\/\/hdl.handle.net\/11329\/442" }, "contributor": [ { "@type": "Organization", "name": "The Oceanographic Society of Japan" } ], "keywords": [ "Quality control", "Reference materials", "Standard materials", "Seawater analysis", "Plankton", "Benthos", "Sediment analysis", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2159", "name": "Roadmap Towards Communitywide Intercalibration and Standardization of Ocean Nucleic Acids \u2018Omics Measurements : Ocean Nucleic Acids \u2018Omics Intercalibration and Standardization Workshop University of North Carolina, Chapel Hill, NC, USA January 8-11, 2020.", "description": " - In January 2020, the US Ocean Carbon & Biogeochemistry (OCB) Project Office funded the Ocean Nucleic Acids 'omics Intercalibration and Standardization workshop held at the University of North Carolina in Chapel Hill. Thirty-two participants from across the US, along with guests from Canada and France, met to develop a framework for standardization and intercalibration (S&I) of ocean nucleic acid \u2018omics (na\u2019omics) approaches (i.e., amplicon sequencing, metagenomics and metatranscriptomics). During the three-day workshop, participants discussed numerous topics, including: a) sample biomass collection and nucleic acid preservation for downstream analysis, b) extraction protocols for nucleic acids, c) addition of standard reference material to nucleic acid isolation protocols, d) isolation methods unique to RNA, e) sequence library construction, and f ) integration of bioinformatic considerations. This report provides a summary of these and other topics covered during the workshop and a series of recommendations for future S&I activities for na\u2019omics approaches. - , - NSF (OCE-1558412) and NASA (NNX17AB17G - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2159", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2159", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2159", "url": "https:\/\/hdl.handle.net\/11329\/2159" }, "author": [ { "@type": "Person", "name": "Berube, Paul" }, { "@type": "Person", "name": "Gifford, Scott" }, { "@type": "Person", "name": "Hurwitz, Bonnie" }, { "@type": "Person", "name": "Jenkins, Bethany" }, { "@type": "Person", "name": "Marchetti, Adrian" }, { "@type": "Person", "name": "Santoro, Alyson E." } ], "contributor": [ { "@type": "Organization", "name": "Ocean Carbon & Biogeochemistry Program" } ], "keywords": [ "Omics", "Nucleic acids", "Other organic chemical measurements", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2135", "name": "Workshop to evaluate proposed assessment methods and how to set thresholds for assessing adverse effects on seabed habitats (WKBENTH3).", "description": " - The Marine Strategy Framework Directive (MSFD) requires EU Member States to achieve and maintain good environmental status (GES) across their marine waters. WKBENTH3 convened as a hybrid meeting to evaluate benthic assessment methods and indicators for their potential to meet the criteria described under the MSFD Descriptor 6 (seabed integrity). They evaluated a suite of indicator methods, proposed by participants. Those included five indicator methods de-scribing the \u2018Condition of the Benthic Habitat\u2019, primarily linked to D6C5, and six indicator meth-ods for \u2018Physical Disturbance on Benthic Habitats\u2019, primarily linked to D6C3. Variants of some of the indicators as well as some other commonly used diversity indices were also assessed. A common dataset with broad regional representation was used to compare and contrast indi-cator performance with 17 benthic invertebrate datasets drawn from a range of pressure gradi-ents (14 over gradients of commercial bottom trawling intensity, 2 over gradients of eutrophica-tion and 1 over a pollution gradient). A meta-analysis of the mean response to trawling across all locations showed that most indicators had, on average, declined at the high trawl impact rel-ative to the baseline and a significant effect of trawling was detected for the indicators Commu-nity Biomass, Species Richness, Fraction of long-lived species, Median longevity, Fraction of sen-tinel species - SoS, Relative Margalef diversity index DM\u2019, Shannon Index and Inverse Simpson. The complementarity of the different indices was computed using Spearman correlation coeffi-cients between each of the indices for all gradients, ordering indicators with Ward\u2019s hierarchical clustering. One of the key findings was the identification of four groups of indices that showed clear patterns of association. Considering the link of indicators to different benthic community properties, WKBENTH3 proposed that the assessment of D6 should be carried out selecting a number of indicators drawn from different cluster groups to ensure that components of diver-sity, species sensitivity and abundance (density and\/or biomass \u2013 or other proxy linked to benthic habitat functioning) are addressed. WKBENTH3 further ranked model-based benthic sensitivity and impact outputs across broad habitat types (BHTs) in eight different subdivisions in order to contrast indicator responses. The ranking showed a broad congruence, however, every subdivision had variation in ranking of BHTs among indicator methods. Further work is needed to determine the cause of those discrep-ancies and to look more closely at the values and the response curves generated. WKBENTH3 developed a worked example of how to estimate thresholds for GES based on the approach of \u2018detectable change\u2019. The approach was applied to each of the different pressure gra-dients and to muddy sand habitats. It was not able to estimate thresholds for all gradients da-tasets as the confidence intervals around some relationships were very wide. Experts highlighted that the assessment of seabed integrity needs to ensure that cross-regional, regional, national and local scale assessments can \u201ctalk\u201d to each other and that they are complementarity in terms of what aspects of the ecosystem the respective indicators are capturing and what pressure they are tracking (linked to manageable human activity). Cross-regional assessments will inform whether assessments are measuring the same or similar things, allowing for such crosschecking. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2135", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2135", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2135", "url": "https:\/\/hdl.handle.net\/11329\/2135" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Benthic assessment method", "Seabed integrity", "Benthic habitat", "Marine Strategy Framework Directive (MSFD)", "Biota composition", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2257", "name": "The Role of Stakeholders in Creating Societal Value From Coastal and Ocean Observations.", "description": " - The importance of stakeholder engagement in ocean observation and in particular the realization of economic and societal bene\ufb01ts is discussed, introducing a number of overarching principles such as the convergence on common goals, effective communication, co-production of information and knowledge and the need for innovation. A series of case studies examine the role of coordinating frameworks such as the United States\u2019 Interagency Ocean Observing System (IOOS), and the European Ocean Observing System (EOOS), public\u2013private partnerships such as Project Azul and the Coastal Data Information Program (CDIP) and \ufb01nally the role of the \u201cthird\u201d or voluntary sector. The paper explores the value that stakeholder engagement can bring as well as making recommendations for the future. - , - Refereed - , - 14.a - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2257", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2257", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2257", "url": "https:\/\/hdl.handle.net\/11329\/2257" }, "author": [ { "@type": "Person", "name": "Mackenzie, Bev" }, { "@type": "Person", "name": "Celliers, Louis" }, { "@type": "Person", "name": "Assad, Luiz Paulo De Freitas" }, { "@type": "Person", "name": "Heymans, Johanna J." }, { "@type": "Person", "name": "Rome, Nicholas" }, { "@type": "Person", "name": "Thomas, Julie" }, { "@type": "Person", "name": "Anderson, Clarissa" }, { "@type": "Person", "name": "Behrens, James" }, { "@type": "Person", "name": "Calverley, Mark" }, { "@type": "Person", "name": "Desai, Kruti" }, { "@type": "Person", "name": "DiGiacomo, Paul M." }, { "@type": "Person", "name": "Djavidnia, Samy" }, { "@type": "Person", "name": "Dos Santos, Francisco" }, { "@type": "Person", "name": "Eparkhina, Dina" }, { "@type": "Person", "name": "Ferrari, Jos\u00e9" }, { "@type": "Person", "name": "Hanly, Caitriona" }, { "@type": "Person", "name": "Houtman, Bob" }, { "@type": "Person", "name": "Jeans, Gus" }, { "@type": "Person", "name": "Landau, Luiz" }, { "@type": "Person", "name": "Larkin, Kate" }, { "@type": "Person", "name": "Legler, David" }, { "@type": "Person", "name": "Le Traon, Pierre-Yves" }, { "@type": "Person", "name": "Lindstrom, Eric" }, { "@type": "Person", "name": "Loosley, David" }, { "@type": "Person", "name": "Nolan, Glenn" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Pellegrini, Julio" }, { "@type": "Person", "name": "Roberts, Zoe" }, { "@type": "Person", "name": "Siddorn, John R." }, { "@type": "Person", "name": "Smail, Emily" }, { "@type": "Person", "name": "Sousa-Pinto, Isabel" }, { "@type": "Person", "name": "Terrill, Eric" } ], "keywords": [ "Stakeholder engagement", "Societal benefits", "Ocean observing systems", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1607", "name": "Accuracy assessment of Go Pro Hero 3 (Black) camera in underwater environment. XXIII ISPRS Congress, 12\u201319 July 2016, Prague, Czech Republic.", "description": " - Modern digital cameras are increasing in quality whilst decreasing in size. In the last decade, a number of waterproof consumer digital cameras (action cameras) have become available, which often cost less than $500. A possible application of such action cameras is in the field of Underwater Photogrammetry. Especially with respect to the fact that with the change of the medium to below water can in turn counteract the distortions present. The goal of this paper is to investigate the suitability of such action cameras for underwater photogrammetric applications focusing on the stability of the camera and the accuracy of the derived coordinates for possible photogrammetric applications. For this paper a series of image sequences was capture in a water tank. A calibration frame was placed in the water tank allowing the calibration of the camera and the validation of the measurements using check points. The accuracy assessment covered three test sets operating three GoPro sports cameras of the same model (Hero 3 black). The test set included the handling of the camera in a controlled manner where the camera was only dunked into the water tank using 7MP and 12MP resolution and a rough handling where the camera was shaken as well as being removed from the waterproof case using 12MP resolution. The tests showed that the camera stability was given with a maximum standard deviation of the camera constant \u03c3c of 0.0031mm for 7MB (for an average c of 2.720mm) and 0.0072 mm for 12MB (for an average c of 3.642mm). The residual test of the check points gave for the 7MB test series the largest rms value with only 0.450mm and the largest maximal residual of only 2.5 mm. For the 12MB test series the maximum rms value is 0. 653mm. - , - Refereed - , - 14.a - , - N\/A - , - Underwater camera, GoPro - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1607", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1607", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1607", "url": "https:\/\/hdl.handle.net\/11329\/1607" }, "author": [ { "@type": "Person", "name": "Helmholz, P." }, { "@type": "Person", "name": "Long, J." }, { "@type": "Person", "name": "Munsie, T." }, { "@type": "Person", "name": "Belton, D." } ], "keywords": [ "Underwater photogrammetry", "Calibration", "Lens distortion", "Quality assessment", "Physical oceanography", "underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1190", "name": "Ship-Based Contributions to Global Ocean, Weather, and Climate Observing Systems.", "description": " - The role ships play in atmospheric, oceanic, and biogeochemical observations is described with a focus on measurements made near the ocean surface. Ships include merchant and research vessels; cruise liners and ferries; fishing vessels; coast guard, military, and other government-operated ships; yachts; and a growing fleet of automated surface vessels. The present capabilities of ships to measure essential climate\/ocean variables and the requirements from a broad community to address operational, commercial, and scientific needs are described. The authors provide a vision to expand observations needed from ships to understand and forecast the exchanges across the ocean\u2013atmosphere interface. The vision addresses (1) recruiting vessels to improve both spatial and temporal sampling, (2) conducting multivariate sampling on ships, (3) raising technology readiness levels of automated shipboard sensors and ship-to-shore data communications, (4) advancing quality evaluation of observations, and (5) developing a unified data management approach for observations and metadata that meet the needs of a diverse user community. Recommendations are made focusing on integrating private and autonomous vessels into the observing system, investing in sensor and communications technology development, developing an integrated data management structure that includes all types of ships, and moving toward a quality evaluation process that will result in a subset of ships being defined as mobile reference ships that will support climate studies. We envision a future where commercial, research, and privately owned vessels are making multivariate observations using a combination of automated and human-observed measurements. All data and metadata will be documented, tracked, evaluated, distributed, and archived to benefit users of marine data. This vision looks at ships as a holistic network, not a set of disparate commercial, research, and\/or third-party activities working in isolation, to bring these communities together for the mutual benefit of all. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - , - 2018-11-09 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1190", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1190", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1190", "url": "https:\/\/hdl.handle.net\/11329\/1190" }, "author": [ { "@type": "Person", "name": "Smith, Shawn R." }, { "@type": "Person", "name": "Alory, Ga\u00ebl" }, { "@type": "Person", "name": "Andersson, Axel" }, { "@type": "Person", "name": "Asher, William" }, { "@type": "Person", "name": "Baker, Alex" }, { "@type": "Person", "name": "Berry, David I." }, { "@type": "Person", "name": "Drushka, Kyla" }, { "@type": "Person", "name": "Figurskey, Darin" }, { "@type": "Person", "name": "Freeman, Eric" }, { "@type": "Person", "name": "Holthus, Paul" }, { "@type": "Person", "name": "Jickells, Tim" }, { "@type": "Person", "name": "Kleta, Henry" }, { "@type": "Person", "name": "Kent, Elizabeth C." }, { "@type": "Person", "name": "Kolodziejczyk, Nicolas" }, { "@type": "Person", "name": "Kramp, Martin" }, { "@type": "Person", "name": "Loh, Zoe" }, { "@type": "Person", "name": "Poli, Paul" }, { "@type": "Person", "name": "Schuster, Ute" }, { "@type": "Person", "name": "Steventon, Emma" }, { "@type": "Person", "name": "Swart, Sebastiaan" }, { "@type": "Person", "name": "Tarasova, Oksana" }, { "@type": "Person", "name": "de la Vill\u00e9on, Loic Petit" }, { "@type": "Person", "name": "Vinogradova-Shiffer, Nadya" } ], "keywords": [ "Volunteer ships", "Ships of Opportunity", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/179", "name": "Guidelines for Vulnerability Mapping of Coastal Zones in the Indian Ocean.", "description": " - The purpose of this guide is to propose a complete methodological procedure for the creation of a database and a cartographic decision-aid system. It is illustrated by two case studies carried out in the area in the framework of the Indian Ocean Commission\u2019s Regional Environmental Programme (REP), financed by the European Union (REP-IOC\/EU). - , - UNESCO, EU - , - Published - , - Coastal Zone Mapping, Geomorphological units, Raw data mapping, risk notions - , - Manual and Guide NO. 38 : This document is available in English and French version - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/179", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/179", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/179", "url": "https:\/\/hdl.handle.net\/11329\/179" }, "author": [ { "@type": "Person", "name": "Bigot, L." }, { "@type": "Person", "name": "Canovas, S." }, { "@type": "Person", "name": "Denis, J." }, { "@type": "Person", "name": "Dutrieux, E." }, { "@type": "Person", "name": "H\u00e9nocque, Y." }, { "@type": "Person", "name": "Quod, J.P." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IOC" } ], "keywords": [ "Oceanography", "Mapping", "Maps", "Map projections", "Coastal zone", "Coastal morphology", "Geological data", "Geomorphology", "Mapping", "Geomorphology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2309", "name": "Guidelines on Homogenization. 2020 edition.", "description": " - This publication provides guidance on homogenization of instrumental land station data. For beginners, the publication describes prerequisites for homogenization (including data rescue, quality control, metadata, parallel measurements etc), explains homogenization practices in detail and provides an overview of homogenization software packages. For advanced users, the history and mathematical theory of homogenization is introduced. - , - Published - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2309", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2309", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2309", "url": "https:\/\/hdl.handle.net\/11329\/2309" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Homogenization", "Data synthesis", "Cross-discipline", "Data interoperability development", "Data Quality Control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2216", "name": "Effect of data assimilation in the Polar WRF with 3DVAR on the prediction of radiation, heat flux, cloud, and near surface atmospheric variables over Svalbard.", "description": " - Although the Polar Weather Research and Forecasting (PWRF) model has been developed for polar environments, simulations of atmospheric states in the polar region still have large uncertainties. Therefore, the effects of data assimilation (DA) to improve forecasts in the polar region were investigated for September 2017 using PWRF and the three-dimensional variational (3DVAR) DA method. The experiments without DA and those with DA assimilating only conventional observations and both conventional observations and satellite radiance data were performed. The forecasts from all experiments both without and with DA underestimated (overestimated) the downward longwave (shortwave) radiation flux due to the underestimation of the amount of Arctic clouds. When satellite radiance data (i.e., the Advanced Microwave Sounding Unit-A (AMSU-A) and Microwave Humidity Sounder (MHS)) were assimilated in addition to conventional observations in the PWRF, the distribution and amount of water vapor became closer to observations, which improves cloud liquid water forecasts. Therefore, when both conventional observations and radiance data were assimilated, the 25-30 h forecast errors of the downward longwave and shortwave radiation fluxes and sensible and latent heat fluxes decreased by 12.7%, 8.1%, 3.2%, and 7.8% with the WSM5 scheme and by 17.1%, 4.7%, 2.5%, and 3.1% with the 2-moment Morrison scheme, respectively, compared to those in the experiments without DA. The forecast errors of the 10 m wind and 2 m temperature with DA were smaller than those without DA at most observation stations. Therefore, the uncertainties of the Arctic forecasts in the PWRF decreased when using DA. To further improve Arctic forecasts, the assimilation of various additional satellite data is necessary. - , - Refereed - , - 14.a - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2216", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2216", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2216", "url": "https:\/\/hdl.handle.net\/11329\/2216" }, "author": [ { "@type": "Person", "name": "Kim, Dae-Hui" }, { "@type": "Person", "name": "Kim, Hyun Mee" } ], "keywords": [ "Polar weather forecasting", "Uncertainty", "Satellite data assimilation", "Atmosphere", "Data analysis", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2628", "name": "Stimulating Ocean Best Practices: Dialogues across Science and Technology for Innovative Solutions and Effective Governance. Ocean Best Practices Workshop VIII, 14-18 October 2024 [ONLINE]. Proceedings.", "description": " - The Ocean Best Practices System Workshop VIII (OBPS VIII) aimed at promoting a fruitful dialogue across ocean science and technology thanks to the support of the cross-cutting primary role of best practices in operational oceanography. In the era of Digital Twins for the Ocean, the need of best practices is fundamental for a more interoperable and reliable use of ocean data, for the evolution of the worldwide observing network from the deep ocean to the coast and for dealing with complex forecasting systems. The OBPS VIII workshop was held online from 14-18 October 2024, bringing together participants virtually to collaborate and share insights. The OBPS VIII has been driven by the UN Ocean Decade 2030 Vision, stimulating the discussion around the ocean value chain and integrated multi-platform ocean observing system for innovative solutions and governance, spanning from the synergy between the Global Ocean Observing System (GOOS) and the International Ocean Data and Information Exchange (IODE) in endorsing and identifying ocean best practices to the maturity of ocean enterprise in digital data solutions, from the role of ocean forecasting in creating and connecting efficiently, systems from global to coastal scale to the strategic path identified by the 2024 UN Ocean Decade Conference in Barcelona which stated the importance on working at community level for achieving the 2030 Goals of the Ocean Decade by leveraging over the 3 keywords: \u201cambition\u201d, \u201caction\u201d, and \u201cimpact\u201d. The Workshop has been represented by discussions on Science, Technology and Applications, Governance and Society, including the role of Capacity Development and Ocean Literacy: 22 online sessions gathered more than 800 worldwide experts and enthusiasts in ocean science and technology, motivated to understand how standards and best practices developments can contribute to the future generations of systems and applications, identifying general tasks to implement in dedicated programmes and projects, highlighting the fundamental role of OBPS as a catalyzer for succeeding in such challenges and promoting innovative solutions, offering ways forward and recommendations to the OBPS community. Finally, the OBPS VIII reflected on the importance of designing, developing, proposing, and adopting standards and best practices to lead to greater efficiency and improved capability along the ocean value chain, guaranteeing interoperability between methods and enforcing robustness and reproducibility and trust. Cooperation and engagement across the Intergovernmental Oceanographic Commission (IOC) and the communities are the key for increasing visibility of best practices and addressing new challenging needs. - , - Published - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2628", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2628", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2628", "url": "https:\/\/hdl.handle.net\/11329\/2628" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE\/Ocean Best Practices System" } ], "keywords": [ "Atmosphere", "Biological oceanography", "Chemical oceanography", "Physical oceanography", "Cross-discipline", "Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2520", "name": "BS EN 15972:2011, Water quality. Guidance on quantitative and qualitative investigations of marine phytoplankton.", "description": " - This European Standard gives guidance for sampling, preservation, storage, quantification and qualitative analysis of phytoplankton from marine waters. Guidance for quantification is limited to the use of light microscopy with phase-contrast and epifluorescence. This European Standard specifies: \u2014 the development of the sampling programme; \u2014 requirements for sampling equipment; \u2014 procedures for sampling and treatment of samples in the field; \u2014 methods for quantification; \u2014 qualitative analysis. This European Standard describes minimum requirements for environmental monitoring. - , - Published - , - Refereed - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2520", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2520", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2520", "url": "https:\/\/hdl.handle.net\/11329\/2520" }, "contributor": [ { "@type": "Organization", "name": "British Standards Institute (BSI)" } ], "keywords": [ "Light microscopy", "Phytoplankton", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1568", "name": "Guidelines for monitoring of chlorophyll a.", "description": " - Increase in phytoplankton biomass is a direct consequence of advancing eutrophication. For monitoring purposes, phytoplankton biomass is estimated by chlorophyll a (Chl a) concentration. The amount of Chl a is not a direct proxy for phytoplankton biomass because of a highly variable ratio of cellular carbon to Chl a in phytoplankton (Geider 1987). Phytoplankton biomass, except for picoplankton, is more accurately assessed by quantitative taxonomical analysis. It is, however, laborious and thus provides with a smaller amount of data than the Chl a method, which lowers the status confidence of any taxonomybased indicator. Regardless of its shortcomings, the Chl a method \u2012 being easy to sample and fast to analyze \u2012 is the method of choice for environmental studies. The scope of this guideline is the determination of Chl a concentration; measured from water samples using wet analytics as well as estimated from in vivo Chl a fluorescence recordings. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1568", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1568", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1568", "url": "https:\/\/hdl.handle.net\/11329\/1568" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Chlorophyll-a", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1372", "name": "Manual for the Use of Real-Time Oceanographic Data Quality Control Flags. Version 1.2.", "description": " - The U.S.Integrated Ocean Observing System (IOOS) has issued Quality Assurance\/Quality Control of Real-Time Oceanographic Data (QARTOD) manuals to be used for identifying the quality of oceanographic data in real time. This data QC flag manual provides information to operators of ocean observing systems about the purpose and protocols of marking or flagging data, so that subsequent use of the data can be properly controlled by both users and automated processes. - , - Published - , - Supersedes version 1.1 - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1372", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1372", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1372", "url": "https:\/\/hdl.handle.net\/11329\/1372" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System," } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/113", "name": "WMO Sea-ice Nomenclature, WMO\/OMM\/\u0412\u041c\u041e - No.259 Suppl.No.5. Linguistic equivalents.", "description": " - sea ice; guides - , - Describes WMO Sea-ice terminology, with linguistic equivalents - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/113", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/113", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/113", "url": "https:\/\/hdl.handle.net\/11329\/113" }, "author": [ { "@type": "Person", "name": "JCOMM Expert Team on Sea Ice (ETSI)" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM Expert Team on Sea Ice" } ], "keywords": [ "Sea ice nomenclature" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1495", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: November 2016 to May 2018. Version 1.1. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1564 ]", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from November, 2016 to May, 2018). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1495", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1495", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1495", "url": "https:\/\/hdl.handle.net\/11329\/1495" }, "author": [ { "@type": "Person", "name": "Lovell, Jenny" }, { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/601", "name": "NOS Procedures for Developing and Implementing Operational Nowcast and Forecast Hydrodynamic Model Systems.", "description": " - This document details the procedures for developing and implementing O perational Nowcast and F orecast Hydrodynamic Model S ystems (hereafter OFS) by NOAA\u2019s National Ocean Service (NOS). These systems consist of the automated integration of observing system data streams, hydrodynamic model predictions, product dissemination and conti nuous quality control monitoring. State-of-the-art numerical hydrodynamic models driven by real-time data and model forecast guidance will form the core of these end-to-end systems. The OFS will perform nowcast and short-term (0 hr. - 48 hr.) forecast predictions of pertinent parameters (i.e., primarily water levels and currents and in some cases salinity, temperature, waves, etc.) and disseminate the results to users. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Surface currents - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/601", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/601", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/601", "url": "https:\/\/hdl.handle.net\/11329\/601" }, "author": [ { "@type": "Person", "name": "Vincent, Mark" }, { "@type": "Person", "name": "Hess, Kurt" }, { "@type": "Person", "name": "Kelley, John" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Numerical hydrodynamic model", "Nowcast", "Forecast", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2254", "name": "A Comparison of Beach Nourishment Methodology and Performance at Two Fringing Reef Beaches in Waikiki (Hawaii, USA) and Cadiz (SW Spain).", "description": " - Fringing reefs have significant impacts on beach dynamics, yet there is little research on how they should be considered in beach nourishment design, monitoring, and conservation works. Thus, the behavior and characteristics of nourishment projects at two reef protected beaches, Royal Hawaiian Beach (RHB) in Hawaii, USA, and Victoria Beach (VB) in Cadiz, Spain, are compared to provide transferable information for future nourishment projects and monitoring in fringing reef environments. The nourishment cost at RHB was nine times higher than VB. This is partly due to lower total volume and a more complex placement and spreading method at RHB, despite the much closer borrow site at RHB. There was a significant difference in post-nourishment monitoring frequency and assessment of accuracy. RHB elevation was monitored quarterly for 2.7 years at 30 m-spaced profiles, compared to 5 years of biannual surveys of 50 m-spacing at VB. An additional problem related to the presence of reefs at both RHB and VB was estimating the beach volume increase after nourishment, due to variable definitions of the \u2018beach\u2019 area and high alongshore variability in reef topography. At sites where non-native sediment is used, it is imperative to understand how wave and current energy changes due to reefs will influence nourishment longevity. Thus, differences in erosion and accretion mechanisms at both beaches have been detected, though are still little understood. Moreover, discrepancies in sediment porosity between the two sites (which should be surveyed in future nourishments) have been found, probably due to differences in the nourishment sand transportation and distribution methods. In summary, more dialogue is needed to explicitly consider the influence of fringing reefs on coastal processes and beach nourishment projects. - , - Refereed - , - 14.2 - , - Leica TC407 total station - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2254", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2254", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2254", "url": "https:\/\/hdl.handle.net\/11329\/2254" }, "author": [ { "@type": "Person", "name": "Mu\u00f1oz-Perez, Juan J." }, { "@type": "Person", "name": "Gallop, Shari L." }, { "@type": "Person", "name": "Moreno, Luis J." } ], "keywords": [ "Beach nourishment", "Fringing reefs", "Perched beaches", "Geologically controlled beach", "Sedimentation and erosion processes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2359", "name": "JERICO-S3 D6.3 - Data Management Best practices report for physical and BGC platforms. Version 2.0.", "description": " - This document provides information on the data management best practices for three widely used platforms for the data collection in the coastal zone: HF-Radars, ocean gliders and FerryBoxes. The existing standards and best practices from marine community efforts were reviewed and compiled by specific JERICO-S3 partners (CNR for HF-Radars, SOCIB for Gliders and Hereon for FerryBoxes) all selected due to their long experience, and expertise. The provided best practices and standards in this report regard the processing steps from the acquisition to the data delivery for each platform, the best practices concerning the data processing, the quality control and quality assurance (both in NRT and DM), the upcoming issues and vulnerabilities of the data management encountered in each platform, training materials and contacts, as well as examples of data management plans. The implementation of the best practices described in this document is expected to increase the data FAIRness, facilitating the data integration into the relevant European Data aggregators, such as the Copernicus Marine, the EMODnet and the SeaDataNet. - , - European Commission H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2359", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2359", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2359", "url": "https:\/\/hdl.handle.net\/11329\/2359" }, "author": [ { "@type": "Person", "name": "Voynova, Yoana" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos" }, { "@type": "Person", "name": "Charcos, Miguel" }, { "@type": "Person", "name": "Anastasopoulou, Gerasimi" }, { "@type": "Person", "name": "Perivoliotis, Leonidas" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO S3" } ], "keywords": [ "HF Radar", "Ocean gliders", "FerryBox", "Data management", "Data Management Plan", "Cross-discipline", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/755", "name": "Bloom prevention and control.", "description": " - Harmful algal blooms (HABs) are a serious and growing problem to many sectors of society, including the desalination industry. The many problems that HABs present for seawater reverse osmosis (SWRO) desalination plants include: 1) the production of dangerous toxins that have the potential to contaminate treated water; 2) high algal biomass that clogs intake filters; and 3) contributing to biofouling of equipment and SWRO membranes. It is important to limit the impact from HABs by preventing blooms from reaching SWRO plants in the first place, while also reducing their effects in the event that ingress to the plant has occurred. Many of the management actions taken to respond to HABs can be termed mitigation \u2013 i.e., dealing with an existing or ongoing bloom, and taking whatever steps are necessary or possible to reduce negative impacts. Mitigation strategies can be classified into two categories, precautionary impact preventions and bloom controls (Kim 2006; Anderson 2004). Precautionary impact preventions refer to monitoring, predictive, and emergent actions - essentially actions taken to keep HABs from happening or from directly impacting a particular resource. Several problems are immediately apparent in this regard. For one, we do not have all of the knowledge we need about why HABs form in many areas, so it is obviously difficult to regulate or control those factors. This argues for substantial and sustained research on all aspects of HABs, including their ecology, physiology, and oceanography. All too often managers and agency officials view these topics as fundamental or basic science issues that have little direct practical utility, but in reality, such knowledge is essential for the design and implementation of effective prevention strategies. Another problem that arises with the concept of HAB prevention is that even if certain environmental factors are known to influence the population dynamics of a specific HAB organism, there are limitations on what can feasibly be done to modify or control those factors. It might be known that a particular HAB is strongly influenced by the outflow of a river system \u2013 that it is associated with a buoyant coastal current, for example - but are unlikely to be able to justify the alteration of that river flow solely on the basis of HAB prevention. As discussed below, it is nevertheless important to factor the possible impacts on HABs into large-scale policy decisions on such topics as pollution reductions or alterations in freshwater flows in response to agricultural and drinking water demands. Obvious examples of impact prevention in the context of desalination are pretreatment strategies that remove cells and the organic compounds they produce. These are described in Chapter 9. In effect, these strategies are used to cope with HABs and to manage around them. The question often arises, however, as to whether it is possible to be more pro-active. Can something be done about blooms before they happen, or can something be done to destroy or suppress them while they are occurring? These questions highlight the \u201ccontrol\u201d aspects of HAB management. Bloom control is both challenging and controversial. The concept refers to actions taken to suppress or destroy HABs, intervening directly in the bloom process. Curtailing or suppressing the duration and magnitude of a HAB through physical, chemical, or biological intervention are potential approaches, but this is one area where HAB science is rudimentary and slow moving. Anderson (1997) highlighted the slow research progress on bloom control, in contrast to aggressive policies to control pests and nuisance species in terrestrial agriculture. A number of reasons were listed for the reticence or reluctance of scientists and managers to explore and implement control strategies. These include: \u2022 HABs are complex phenomena in highly dynamic environments. Many are large, covering thousands of km2. Control strategies would be massively expensive and logistically challenging. HABs are caused by algae from many phylogenetic clades (see Chapter 1), including eukaryotes (armored and unarmored dinoflagellates, raphidophytes and diatoms, euglenophytes, cryptophytes, haptophytes, pelagophytes, and chlorophytes) and microbial prokaryotes (cyanobacteria that occur in both marine and freshwater systems). Given this biodiversity, no single strategy or approach to bloom control or suppression will apply to all harmful algae. \u2022 HAB phenomena remain poorly understood, i.e.,\u201cwe can\u2019t control what we don\u2019t understand\u201d. \u2022 Few, if any, countries have government agencies with the mandate to conduct research or to implement strategies to control marine \u201cpests\u201d. \u2022 The solutions may cause more damages than do the HAB problem being treated. Each of these arguments has a counter argument, as discussed in Anderson (2004), but the bottom line is that progress on bloom control has been slow, with advances being made by only a few countries. The challenge is even more significant when viewed in the context of a desalination plant. In the discussion that follows, traditional and emerging technologies in the field of HAB mitigation and control are summarized in the context of their applicability to HAB risk management at SWRO desalination plants. In doing this, it is recognized that desalination plants are unlikely to undertake any large-scale bloom control or suppression strategies outside their plants, given the cost, logistics, and uncertainty of such efforts. It may be that bloom control would be considered at a small scale within an embayment or intake lagoon, and thus it is important to know the various approaches that have been attempted in different systems. This will also help operators address a very common question from the public, or from plant management \u2013 \u201cIs there anything we can do to control or stop this bloom before it enters the plant?\u201d - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/755", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/755", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/755", "url": "https:\/\/hdl.handle.net\/11329\/755" }, "author": [ { "@type": "Person", "name": "Anderson, Clarissa R." }, { "@type": "Person", "name": "Sellner, Kevin G." }, { "@type": "Person", "name": "Anderson, Donald M." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1588", "name": "Utilizing Data from the NOAA National Data Buoy Center.", "description": " - This Coastal and Hydraulics Engineering Technical Note (CHETN) guides users through the quality control (QC) and processing steps that are necessary when using archived U.S. National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) wave and meteorological data. This CHETN summarizes methodologies to geographically clean and QC NDBC measurement data for use by the U.S. Army Corps of Engineers (USACE) user community - , - Published - , - Current - , - 14.a - , - Sea state - , - Sea surface temperature - , - National - , - Sea state - , - Wind speed and direction - , - Pressure - , - Temperature - , - Atmosphere - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1588", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1588", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1588", "url": "https:\/\/hdl.handle.net\/11329\/1588" }, "author": [ { "@type": "Person", "name": "Hall, Candice" }, { "@type": "Person", "name": "Jensen, Robert" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Army Corps of Engineers \/ Engineering Research and Development Center" } ], "keywords": [ "Post-process quality control", "Parameter Discipline::Physical oceanography", "Atmosphere", "wave recorders", "meteorological packages", "Data quality management", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1234", "name": "Monitoring ship noise to assess the impact of coastal developments on marine mammals.", "description": " - The potential impacts of underwater noise on marine mammals are widely recognised, but uncertainty over variability in baseline noise levels often constrains efforts to manage these impacts. This paper characterises natural and anthropogenic contributors to underwater noise at two sites in the Moray Firth Special Area of Conservation, an important marine mammal habitat that may be exposed to increased shipping activity from proposed offshore energy developments. We aimed to establish a pre-development baseline, and to develop ship noise monitoring methods using Automatic Identification System (AIS) and time-lapse video to record trends in noise levels and shipping activity. Our results detail the noise levels currently experienced by a locally protected bottlenose dolphin population, explore the relationship between broadband sound exposure levels and the indicators proposed in response to the EU Marine Strategy Framework Directive, and provide a ship noise assessment toolkit which can be applied in other coastal marine environments. - , - Refereed - , - 14.1 - , - Ocean sound - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1234", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1234", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1234", "url": "https:\/\/hdl.handle.net\/11329\/1234" }, "author": [ { "@type": "Person", "name": "Merchant, Nathan D." }, { "@type": "Person", "name": "Pirotta, Enrico" }, { "@type": "Person", "name": "Barton, Tim R." }, { "@type": "Person", "name": "Thompson, Paul M." } ], "keywords": [ "Underwater noise", "Ship noise", "AIS data", "Marine mammals", "Acoustic disturbance", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2402", "name": "In-Situ TAC Product: INSITU_GLO_PHY_TS_OA_MY_013_052. Issue 1.12.", "description": " - The document describes the Quality of the global gridded temperature and salinity fields released with the delayed mode temperature and salinity products and the associated error bars. The details of the product CORA: INSITU_GLO_PHY_TS_OA_MY_013_052 are given on table1. This product is based on the objective analysis of the temperature and salinity measurements taken from the global reprocessing product CORA (INSITU_GLO_PHY_TS_DISCRETE_MY_013_001), and linearly interpolated among 152 vertical levels. The Objective analysis is performed by the ISAS tool (based on the work by Gaillard et al. (2015) and developed by N. Kolodziejczyk and A. Prigent), based on the method developed by Bretherton et al. (1976). The method interpolates the temperature and salinity profiles in 3 dimensional fields, taking into account the correlation between nearby profiles, the bathymetry and the variability of the Rossby radius. The contribution of each profile to the temperature or the salinity fields is calculated by computing the innovation of the profiles taken relative to a first guess of the temperature and salinity fields. The accuracy of the method strongly depends on the spatial resolution of the initial temperature and salinity sampling. As a consequence, the results of the gridded fields might be close from the first guess in the poorly sampled zone, such as the Pacific Ocean or the deep ocean (depth<1000m) before the Argo program. To avoid misinterpretations of the gridded temperature and salinity fields, error bars fields that take into account the data coverage are produced. The error fields are a composite of estimated ocean variability in the low sampled zones and measurements error in the well sampled zones. As a consequence, the estimated error bars at a given point can vary from a few degree Celsius and PSU in the early period to few tenth of degree after the deployment of the ARGO program. CORA: Objective analysis in Delayed Mode - Temperature and Salinity in the Water Column (1960 - 2021) objective analysis in Delayed Mode - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2402", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2402", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2402", "url": "https:\/\/hdl.handle.net\/11329\/2402" }, "author": [ { "@type": "Person", "name": "Szekely, T." } ], "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environmental Monitoring Service (CMEMS)" } ], "keywords": [ "EMDnet Physics", "Water column temperature and salinity", "CORA", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1264", "name": "Best Management Practice Recommendations For Seaweed Relocation Activities,", "description": " - This document has been prepared to help enhance the beach experience and improve environmental stewardship for the benefit of all beach visitors. The beaches of Galveston provide many unique and diverse recreational opportunities while serving as one of the Island\u2019s primary economic engines that provide fully a third of all jobs within the city and are a major factor in Galveston\u2019s future economic development. Given the critical importance of beaches, this document is intended to establish a framework to promote the use of a common terminology, environmentally responsible beach maintenance practices, and to provide a safe and aesthetically pleasing beach environment. These recommendations seek to foster the use of sustainable beach maintenance practices that provide the greatest public benefit, enacted in consideration for local beach dynamics, while using the least intrusive method possible. Many considerations factor into the decision process including: necessity, seasonal and species windows, potential impacts of activity, avoidance of native vegetation, and proximity to visitors. It can often be appropriate to take no action dependent on the location, volume of seaweed and time of year. The most common beach maintenance practices include seaweed relocation, litter control, and debris removal. - , - Published - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1264", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1264", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1264", "url": "https:\/\/hdl.handle.net\/11329\/1264" }, "contributor": [ { "@type": "Organization", "name": "Galveston Park Board" } ], "keywords": [ "Sargassum", "Seaweed", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/326", "name": "Acquisition of Long-Term Monitoring Images near the Deep Seafloor by Edokko Mark I. Version 1, 28 Feb 2017.", "description": " - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/326", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/326", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/326", "url": "https:\/\/hdl.handle.net\/11329\/326" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Sensors", "International SeaBed Authority", "Guidelines", "Mining effects", "Image analysis", "Seabed", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Marine geology", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1919", "name": "A standardized workflow based on the STAVIRO unbaited underwater video system for monitoring fish and habitat essential biodiversity variables in coastal areas.", "description": " - Essential Biodiversity variables (EBV) related to benthic habitats and high trophic levels such as fish communities must be measured at fine scale but monitored and assessed at spatial scales that are relevant for policy and management actions. Local scales, such as individual marine parks, are important for assessing anthropogenic impacts, and conservation-related and fisheries management actions, while reporting on the conservation status of biodiversity to formulate national and international policies requires much broader scales. Measurements must account for the fact that coastal habitats and fish communities are heterogeneously distributed locally and at larger scales. Assessments based on in situ monitoring generally suffer from poor spatial replication and limited geographical coverage, which is challenging for area-wide assessments. Requirements for appropriate monitoring comprise cost-efficient and standardized observation protocols and data formats, spatially-scalable and versatile data workflows, data that comply with the FAIR (Findable, Accessible, Interoperable and Reusable) principles, while minimizing the environmental impact of measurements. This paper describes a standardized workflow based on remote underwater video that aims to assess fishes (at species and community levels) and habitat-related EBVs in coastal areas. This panoramic unbaited video technique was developed in 2007 to survey both fishes and benthic habitats in a cost-efficient manner, and with minimal effect on biodiversity. It can be deployed in areas where low underwater visibility is not a permanent or major limitation. The technique was consolidated and standardized and has been successfully used in varied settings over the last twelve years. We operationalized the EBV workflow by documenting the field protocol, survey design, image post-processing, EBV production and data curation. Applications of the workflow are illustrated here based on some 4500 observations (fishes and benthic habitats) in the Pacific, Indian and Atlantic Oceans, and Mediterranean Sea. The STAVIRO\u2019s proven track-record of utility and cost-effectiveness indicates that it should be considered by other researchers for future applications. - , - This paper was published as part of a Frontier Research Topic \"Marine Biodiversity Observation Network\". see doi: 10.3389\/fmars.2021.832328 - , - Refereed - , - 14.a - , - Fish abundance and distribution - , - Hard coral cover and composition - , - Sea grass cover and composition - , - Macroalgal canopy cover and composition - , - Marine turtles, birds, mammals abundance and composition - , - Mature - , - Multi-organisational - , - Taxonomic diversity - , - Species distribution - , - Population abundance - , - Population structure by size class - , - Phenology - , - Habitat structure - , - Ecosystem extent and fragmentation - , - Ecosystem composition and functional type - , - Marine habitats - , - Seabed cover and morphology - , - Underwater video lander - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1919", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1919", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1919", "url": "https:\/\/hdl.handle.net\/11329\/1919" }, "author": [ { "@type": "Person", "name": "Pelletier, Dominique" }, { "@type": "Person", "name": "Roos, David" }, { "@type": "Person", "name": "Bouchoucha, Marc" }, { "@type": "Person", "name": "Schohn, Thomas" }, { "@type": "Person", "name": "Roman, William" }, { "@type": "Person", "name": "Gonson, Charles" }, { "@type": "Person", "name": "Bockel, Thomas" }, { "@type": "Person", "name": "Carpentier, Liliane" }, { "@type": "Person", "name": "Preuss, Bastien" }, { "@type": "Person", "name": "Powell, Abigail" }, { "@type": "Person", "name": "Garcia, Jessica" }, { "@type": "Person", "name": "Gaboriau, Matthias" }, { "@type": "Person", "name": "Cade, Florent" }, { "@type": "Person", "name": "Royaux, Coline" }, { "@type": "Person", "name": "Le Bras, Yvan" }, { "@type": "Person", "name": "Reecht, Yves" } ], "keywords": [ "STAVIRO (STAtion VIdeo ROtative)", "Fisheries and aquaculture", "Macroalgae and seagrass", "Rock and sediment biota", "Underwater photography", "Biota abundance, biomass and diversity", "Birds, mammals and reptiles", "Human activity", "underwater cameras", "Data acquisition", "Data analysis", "Data format development", "Data visualization", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2437", "name": "Prototype sea level planning and scenario visualization tool.", "description": " - As part of Work Package (WP) 5, \u201cCoastal resilience and operational services demonstrator\u201d, task 5.1.3 \u201cData-driven modelling and visualization for sea level guidance\u201d, aims to improve decision making for flood risk management in the coastal zone. The primary aim is to improve understanding of how the deep uncertainty over climate change induced sea level rise can impact decision making at the early stages of the process. The deliverable 5.1, \u201cPrototype sea level planning and scenario visualization tool\u201d has explored this problem and delivered a visualisation prototype. During project inception, the team identified that the core problem in making informed decisions with Sea Level Rise (SLR) was that the large variation in potential future scenarios was not considered due to the complexity of the processes and calculations required to translate each physical scenario into societal impacts; it did not get through to the economic decisions. The challenge therefore was to provide a full picture of the scientific predictions and associated uncertainty within the economic decision making framework. To tackle the challenge, a case study location was required. Previous experience within the team pointed to Hull on the East Coast of the UK as an ideal location. Built largely on low lying land on the coast, and with an excess of 100,000 properties at risk from coastal flooding, Hull faces some real challenges in how it can understand, respond to and adapt to increasing coastal flood risk with SLR into the future. The team has good links to the main risk management authority responsible for managing coastal flood risk in Hull, the Environment Agency (EA). This presented an ideal opportunity to combine a case study with targeted stakeholder engagement with the EA, and the possibility of filling some data gaps. During the initial scoping stage of this task, a series of workshops were held between Arup, National Oceanography Centre (NOC), University of Cambridge (UCAM) and CADA Consulting (CADA). In the workshops, the problem was broken down into distinct phases and a workflow was produced to deliver the modelling and visualisation prototype, with actions assigned to Arup, UCAM and CADA. The basic premise of the proposed prototype was to visualise the economic damage resulting from a large set of SLR flood risk scenarios. This required a correspondingly large set of simulations to generate the flood risk data and, potentially, a prohibitive amount of computational expense to estimate the associated economic losses. With the aim of providing a full representation of the scientific uncertainty in the predicted damage, the aim was to reduce the detail in the engineering calculations, which translate the environmental conditions into building level flood impacts, and also the economic calculations that turn flood impacts into damage estimates. This was the alternative to reducing the number of SLR scenarios to be visualised. During this scoping stage, a concept User Interface (UI) was also developed. The modelling process can be summarised in 3 steps: 1) Specifying nearshore hydrodynamic conditions (still water level, storm surge profile, wave conditions). 2) Calculating the pathway of water onto the land through overflow and wave overtopping of high ground or defences. 3) Determining how the flood water spreads on land. This was a significant undertaking and a core element of the task. UCAM developed an approach to bring together all elements in a streamlined model workflow. The aim of the approach is for this workflow to be replicable in alternative locations. However, only the case study location has been modelled within the scope of this project. Alongside the development of the modelling approach, a visualisation prototype was designed and built to receive, process and visualise the modelling outputs. The modelling method results in a very complex set of data focussed on a wide range of \u201cscenarios\u201d. The scenarios are created by three primary sources of uncertainty: 1. Emissions scenario (e.g. RCP4.5) 2. Model uncertainty for sea level rise predictions within a given emissions scenario (e.g. 50th percentile) 3. The multiple wave possibilities combined with the storm and tide extreme still water level combination The final dimension is the geographical distribution of the flooding; where does the flooding occur and what localised damage is it causing? The spatial calculation grid was simplified but still contained 1000 hexagonal regions to cover the flood extent within Hull. Altogether, this results in thousands of potential scenarios across 80 years and a thousand geographical points, all requiring an economic damage calculation. The sheer volume of data creates a challenge; how can the user understand the data and how can it be used to inform decisions on the impact of sea level rise? This issue has been resolved through the creation of a visualisation prototype which is a web-based interface to the data, allowing the user to easily select a scenario and, importantly, rapidly change the scenario and compare to other scenarios. In this way the user can immerse themselves in the data and get a feel for how decisions on the originating uncertainty levels (items 1 to 3 above) alter the overall flooding in the region, its distribution and the resulting economic impact. It was important to achieve sufficiently fast functionality of the visualisation prototype as significant delays between scenario changes would quickly lose the interest of the user and limit the potential for interactive data exploration. To achieve this, the calculations were pre-processed before uploading a static data set to the visualisation prototype. This allowed the incorporation of two different ways to view the data. A single scenario view where the impacts of the chosen scenario inputs can be examined with maps, graphs and metrics. Then a two scenario option where different inputs can be compared alongside each other to understand how certain changes in the physical inputs manifest in the impacts. Initial stakeholder feedback from the Environment Agency on the visualisation protype was positive and included acknowledging: \u2022 the value in this approach as it explains uncertainty and helps people to understand their own appetite for risk. \u2022 This is a good means of visualising sea level change since people often struggle to understand this in a meaningful way. \u2022 It is useful to see how a change in one small parameter can affect a whole city \u2022 Different stakeholders will want the information at different scales The future development of this modelling approach and visualisation prototype may consider the following: \u2022 The balance of modelling accuracy with speed of processing according to the location and user needs \u2022 The incorporation of quick defence raising assessments \u2022 Enhanced economic calculations (more detail and or wider economic metrics), again balancing the needs for more information with speed of processing \u2022 Different methods of visualisation, such as 3D, depending on the stakeholder and user needs \u2022 Robustness and testing of the calculations in readiness for commercialisation This task has proven that the prototype sea level planning and scenario visualization tool is a viable prospective means of communicating the high degree of uncertainty that is inherent in current projections of sea level extremes Future commercialisation depends on follow-on funding to implement the recommended development work. The task consortium plans to continue engagement with existing stakeholders to explore use cases and funding opportunities to refine the prototype in respect of the Humber case study area. At the same time, the task consortium is keen to identify other potential beneficiaries and funding bodies (port operators, coastal communities, insurers, planning authorities etc), who might support the enhancement of the prototype to a commercial standard in other geographical areas. - , - European Union Horizon H2020 - , - Published - , - Current - , - Sea surface height - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2437", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2437", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2437", "url": "https:\/\/hdl.handle.net\/11329\/2437" }, "author": [ { "@type": "Person", "name": "Dobson, Michael" }, { "@type": "Person", "name": "Christie, Elizabeth" }, { "@type": "Person", "name": "Spencer, Tom" }, { "@type": "Person", "name": "Eyres, Richard" }, { "@type": "Person", "name": "Downie, Steven" }, { "@type": "Person", "name": "Hibbert, Angela" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Sea level planning", "Flood risk management", "Sea level", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2029", "name": "Guidelines for collecting citizen observations on non-indigenous species (NIS).", "description": " - Monitoring of non-indigenous species (NIS) is required through several international agreements and guidelines, such as the EU Regulation on Invasive Alien Species (The European Parliament and the Council of the European Union 2014), European Union (EU) Biodiversity Strategy (European Commission 2011) and Marine Strategy Framework Directive (MSFD) of the EU (European Parliament Council 2008). However, most countries do not have governmental monitoring programs targeting the presence and abundance of NIS (Lehtiniemi et al. 2015), even though NIS monitoring is required by international legislations and is of great importance to national environmental management. Monitoring programs can be costly and often spatially and temporally limited (Delaney et al. 2008). Citizen observations can therefore improve the monitoring efforts by increasing the number of potential observers and therefore number of observations. Citizen observations are particularly useful in detecting seasonally occurring events, such as migration patterns, blooming events and areal ice thickness (Lovett et al. 2007; Tulloch et al. 2013; Kettunen et al. 2016), as well as new NIS, since public members have often been the first to discover new species (Lodge et al. 2006). In terms of aquatic NIS, citizen science (e.g. fishermen, beach goers, recreational boaters) can be a very useful tool in monitoring range expansion of invasive species (Lehtiniemi et al. In press). Citizens usually are not using harmonized sampling methods and are often unequally spatially and temporally distributed. Observations cannot therefore replace more rigorous monitoring programs. Also, as citizen observations tend to produce presence only-type data, it may have limitations for use (e.g. for modelling). Furthermore, species that citizens can observe are usually macroscopic, easy to identify due to distinguishing features or they form mass blooms that attract attention (sensu Fitzpatrick et al. 2009). Hence, microscopic or cryptic species are not usually observed. Despite of these caveats, citizen observations can supplement monitoring programs in detecting NIS and add important insights of ranges of especially charismatic species with small cost and effort. These guidelines aim to describe creating a citizen science platform to collect citizen observations of NIS (see example in www.vieraslajit.fi, Figure 1). The data collected can be used in the assessment of the HELCOM core indicator \u2018Trends in arrival of non-indigenous species\u2019 as well as in national reporting. Furthermore, citizen science platform can be utilized to raise awareness among local citizens about non-indigenous species and creating alerts of species that may potentially be invading into the area. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2029", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2029", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2029", "url": "https:\/\/hdl.handle.net\/11329\/2029" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Non-Indigenous species", "Citizen Science", "Biological oceanography", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/713", "name": "Chlorobiphenyls in marine sediments: Guidelines for determination.", "description": " - The analysis of chlorinated biphenyls in sediments generally includes extraction with organic solvents, clean-up, removal of sulphur, colullUl fractionation and gas chromatographic separation, mostly with electron capture detection. All of the steps in the procedure are susceptible to insufficient recovery and\/or contamination. Different methods applied to each of these steps are discussed with their advantages and disadvantages. Where possible, quality control procedures are recommended in order to check the method's performance. Gas chromatographic conditions are discussed with regard to injection, separation, detection and system performance. In addition, the quality control aspects relating to calibrants, extraction, and clean-up are considered. These guidelines are intended to encourage and assist analytical chemists to critically (re)consider their methods and to improve their procedures and\/or the associated quality control measures, where necessary. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/713", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/713", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/713", "url": "https:\/\/hdl.handle.net\/11329\/713" }, "author": [ { "@type": "Person", "name": "Smedes, F." }, { "@type": "Person", "name": "de Boer, J." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/879.2", "name": "Argo Quality Control Manual for CTD and Trajectory Data. Version 3.7.", "description": " - versus pressure. Trajectory data involve positions and time. This document is the Argo Quality Control Manual for CTD and Trajectory data. It describes two levels of quality control and adjustment procedures: \u2022 The first level is the real-time system that performs a set of automatic checks and adjustments. \u2022 The second level is the delayed-mode system that consists of evaluation and adjustment of the data by experts. These quality control and adjustment procedures are applied to the Argo parameters: = JULD, LATITUDE, LONGITUDE, PRES, TEMP, PSAL. For biogeochemical parameters, please refer to \"Argo Quality Control Manual for Biogeochemical Data\", http:\/\/dx.doi.org\/10.13155\/40879. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Subsurface salinity - , - Sea surface salinity - , - Mature - , - Best Practice - , - Manual - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/879.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/879.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/879.2", "url": "https:\/\/hdl.handle.net\/11329\/879.2" }, "author": [ { "@type": "Person", "name": "Wong, Annie" }, { "@type": "Person", "name": "Keeley, Robert" }, { "@type": "Person", "name": "Carval, Thierry" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Conductivity", "CTD", "Argo floats", "Argo profiles", "Delayed mode quality control", "Real time quality control", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control", "Data Management Practices::Data processing", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2104", "name": "Quality Control of Biogeochemical Measurements, Version 7.1.", "description": " - An important step within CMEMS is to harmonize existing quality control and quality assurance procedures of the different areas involved. As the Copernicus service is thought to be available at any time and open to anyone, an agreement in good QC methods and procedures is vital to guarantee high data quality distributed to users via international exchange. The agreement on the implementation of uniform QC procedures has the potential to overcome the non- consistency within the existing datasets provided by the international community. The detection of anomalous values of biogeochemical (BGC) parameters is challenging due to their inherent high spatial and temporal variability, e.g., diel Chl a fluorescence can vary by an order of magnitude or more due to changes in irradiance, self-shading, physiological states, community composition and cloud cover (Huot and Babin, 2010). In fact, the phytoplankton community composition can change the diel variability with as much as a factor 4. It is therefore a challenge to define regional tests to check data quality in sea regions that have different characteristics. The amount of data available for building regional climatology of BGC parameters is also very limited due to historically fewer observations. The lack of a common reference database for these parameters makes it difficult to identify anomalies at regional level. - , - Published - , - Previous versions of this document and up to version 2.5 were generated during MyOcean, MyOcean2 and MyOceanFO EU-projects. Starting in CMEMS, several updates have been performed but not officially released. Version 3.1 is the first official release within CMEMS with focus on chlorophyll-a fluorescence. Although not complete yet, it includes much of the conclusions obtained from the last years\u2019 work. - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2104", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2104", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2104", "url": "https:\/\/hdl.handle.net\/11329\/2104" }, "author": [ { "@type": "Person", "name": "Jaccard, Pierre" }, { "@type": "Person", "name": "Hjemann, Dag Oystein" }, { "@type": "Person", "name": "Ruohola, Jani" }, { "@type": "Person", "name": "Ledang, Anna Birgitta" }, { "@type": "Person", "name": "Marty, Sabine" }, { "@type": "Person", "name": "Kristiansen, Trond" }, { "@type": "Person", "name": "Kaitala, Seppo" }, { "@type": "Person", "name": "Mangin, Antoine" }, { "@type": "Person", "name": "Racap\u00e9, Virginie" } ], "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environment Monitoring Service" } ], "keywords": [ "Chemical oceanography", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1227", "name": "Species\u2010level biodiversity assessment using marine environmental DNA metabarcoding requires protocol optimization and standardization.", "description": " - DNA extraction from environmental samples (environmental DNA; eDNA) for metabarcoding\u2010based biodiversity studies is gaining popularity as a noninvasive, time\u2010efficient, and cost\u2010effective monitoring tool. The potential benefits are promising for marine conservation, as the marine biome is frequently under\u2010surveyed due to its inaccessibility and the consequent high costs involved. With increasing numbers of eDNA\u2010related publications have come a wide array of capture and extraction methods. Without visual species confirmation, inconsistent use of laboratory protocols hinders comparability between studies because the efficiency of target DNA isolation may vary. We determined an optimal protocol (capture and extraction) for marine eDNA research based on total DNA yield measurements by comparing commonly employed methods of seawater filtering and DNA isolation. We compared metabarcoding results of both targeted (small taxonomic group with species\u2010level assignment) and universal (broad taxonomic group with genus\/family\u2010level assignment) approaches obtained from replicates treated with the optimal and a low\u2010performance capture and extraction protocol to determine the impact of protocol choice and DNA yield on biodiversity detection. Filtration through cellulose\u2010nitrate membranes and extraction with Qiagen's DNeasy Blood & Tissue Kit outperformed other combinations of capture and extraction methods, showing a ninefold improvement in DNA yield over the poorest performing methods. Use of optimized protocols resulted in a significant increase in OTU and species richness for targeted metabarcoding assays. However, changing protocols made little difference to the OTU and taxon richness obtained using universal metabarcoding assays. Our results demonstrate an increased risk of false\u2010negative species detection for targeted eDNA approaches when protocols with poor DNA isolation efficacy are employed. Appropriate optimization is therefore essential for eDNA monitoring to remain a powerful, efficient, and relatively cheap method for biodiversity assessments. For seawater, we advocate filtration through cellulose\u2010nitrate membranes and extraction with Qiagen's DNeasy Blood & Tissue Kit or phenol\u2010chloroform\u2010isoamyl for successful implementation of eDNA multi\u2010marker metabarcoding surveys. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1227", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1227", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1227", "url": "https:\/\/hdl.handle.net\/11329\/1227" }, "author": [ { "@type": "Person", "name": "Jeunen, Gert\u2010Jan" }, { "@type": "Person", "name": "Knapp, Michael" }, { "@type": "Person", "name": "Spencer, Hamish G." }, { "@type": "Person", "name": "Taylor, Helen R." }, { "@type": "Person", "name": "Lamare, Miles D." }, { "@type": "Person", "name": "Stat, Michael" }, { "@type": "Person", "name": "Bunce, Michael" }, { "@type": "Person", "name": "Gemmell, Neil J." } ], "keywords": [ "Biodiversity assessment", "eDNA", "Extraction", "Filtration", "Metabarcoding", "Parameter Discipline::Biological oceanography::Other biological measurements", "Parameter Discipline::Biological oceanography::Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/537", "name": "American Academy of Underwater Sciences Standards for Scientific Diving.", "description": " - Since 1951 the scientific diving community has endeavored to promote safe, effective diving through self-imposed diver training and education programs. Over the years, manuals for diving safety have been circulated between organizations, revised and modified for local implementation, and have resulted in an enviable safety record. This document represents the minimal safety standards for scientific diving at the present day. As diving science progresses so shall this standard, and it is the responsibility of every member of the Academy to see that it always reflects state of the art, safe diving practice. - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/537", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/537", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/537", "url": "https:\/\/hdl.handle.net\/11329\/537" }, "contributor": [ { "@type": "Organization", "name": "American Academy of Underwater Sciences (AAUS)" } ], "keywords": [ "Scientific diving", "Diving regulations", "Diving equipment", "Scuba", "Certification" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/158", "name": "Guidelines for the Study of Shoreline Change in the Western Indian Ocean Region.", "description": " - This manual sets out an approach to the identification and monitoring of shoreline change and its causative processes at local and regional scales that is appropriate to the coastal management problems of the region as reported by the regional contributors. The approach aims to promote the targeting of sparse resources on the acquisition and provision of information that is most relevant to the management of the problem. The procedures for monitoring shoreline change and its contributory processes are described, including the use of accessible relevant regional information and data or meta-data sets. - , - Published - , - Physical shoreline change, classifying coasts, coastal change, - , - Affiliation: Mr Kuria Kairu, Kenya Marine and Fisheries Research Institute, Mombasa Kenya and Dr Ntahondi Nyandwi, Institute of Marine Sciences, University of Dar-es-Salaam Zanzibar, Tanzania - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/158", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/158", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/158", "url": "https:\/\/hdl.handle.net\/11329\/158" }, "author": [ { "@type": "Person", "name": "Nyandwi, N." }, { "@type": "Person", "name": "Kairu, K." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Environmental surveys", "Environmental monitoring", "Socioeconomic aspects", "Sociological aspects", "Coastal structures", "Coastal zone", "Coastal zone management", "Sediment analysis", "Sedimentary environments", "Sedimentary rocks", "Sedimentary structures", "Environmental monitoring" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/127.3", "name": "Australian XBT Quality Control Cookbook Version 2.1.", "description": " - Expendable Bathythermographs (XBTs) have been used for many years by oceanographers to measure the temperature of the upper ocean. These instruments are simple devices which are designed to be deployed from moving vessels, enabling the use of ships of opportunity to collect data in repeated transects. The XBT has accordingly played an important role in several large international research programs, and the global data archives reflect this. Quality Control (QC) procedures are described for data recorded by XBTs. Examples are shown and described for commonly observed oceanographic features and instrument malfunctions. A QC system is described, which aids in the process of future validation and documentation of real features, and in the elimination of erroneous temperature profiles. There are some modes of malfunction of the XBT which appear very similar to real oceanographic features. This manual enables the user to better distinguish between the two. A knowledge of the different types of real and erroneous features, when combined with a local knowledge of water mass structure, statistics of data anomalies, the depth and gradient of the thermocline, and cross validation with climatological data in a statistical sense, ensures a data set of the best possible quality. This document is an update to the original \u2018Quality Control Cookbook for XBT Data\u2019 Version 1.1 (Bailey et al, 1994). Over time, the QC routines used by the Australian team have developed and many codes have become redundant due to improvements in the recording systems and our understanding of failure modes. The older, redundant codes are now summarised in the Section 4.8 and the Appendices A to C. We urge the reader to refer to Bailey et al (1994) for more detail on these historical codes. - , - Published - , - Original version Bailey, R.; Gronell, A.; Phillips, H.; Tanner, E. and Meyers, G. (1994) Quality Control Cookbook for XBT Data ( Expendable Bathythermograph Data). Version 1.1. Australia, CSIRO, 37pp. (CSIRO Marine Laboratories Report: 221). DOI: https:\/\/doi.org\/10.25607\/OBP-1482 - , - Refereed - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/127.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/127.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/127.3", "url": "https:\/\/hdl.handle.net\/11329\/127.3" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Krummel, Lisa" } ], "contributor": [ { "@type": "Organization", "name": "CSIRO" } ], "keywords": [ "Quality control", "XBT", "Ocean measurements", "Expendable bathythermographs", "Upper ocean temperature", "Temperature profile", "Water column temperature and salinity", "expendable CTDs", "Data acquisition", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1742", "name": "The Missing Layers: Integrating Sociocultural Values Into Marine Spatial Planning.", "description": " - Marine Spatial Planning (MSP) is a relatively new approach to ocean management and has been widely implemented worldwide. Ideally, MSP should be established as a public process that analyzes and distributes human activities across space and time to achieve ecological, economic and social goals, which historically have been accomplished exclusively in the political arena. However, in most cases MSP seems to be driven primarily by economic interests rather than by sociocultural goals. In this paper, we discuss how integrating the missing sociocultural layers into MSP can help to reduce governance rigidity, promote adaptability in decision-making, support environmental justice, and improve MSP acceptance and uptake. In particular, we focus on identifying possible points of connection between MSP and frameworks based on social-ecological system theory, including co-management and other democratic and empowering alternatives. We conclude by proposing a new definition of the MSP process that is more inclusive, and mindful of users\u2019 rights and sociocultural objectives. If we bridge the gap between the dominant economic rhetoric and a de facto sociocultural-ecological system approach, we are likely to improve the chances of the MSP process succeeding on both the human and nature fronts. - , - Refereed - , - 14.5 - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1742", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1742", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1742", "url": "https:\/\/hdl.handle.net\/11329\/1742" }, "author": [ { "@type": "Person", "name": "Pennino, Maria Grazia" }, { "@type": "Person", "name": "Brodie, Stephanie" }, { "@type": "Person", "name": "Frainer, Andr\u00e9" }, { "@type": "Person", "name": "Lopes, Priscila F. M." }, { "@type": "Person", "name": "Lopez, Jon" }, { "@type": "Person", "name": "Ortega-Cisneros, Kelly" }, { "@type": "Person", "name": "Selim, Samiya" }, { "@type": "Person", "name": "Vaidianu, Natasa" } ], "keywords": [ "Ecosystem based management", "Marine spatial planning", "Stakeholder participation", "Sociocultural values", "Construction and structures", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2515", "name": "ISO 13168:2023. Water quality \u2014 Simultaneous determination of tritium and carbon 14 activities \u2014 Test method using liquid scintillation counting. Edition 2.", "description": " - This document specifies a method for the simultaneous measurement of 3H and 14C in water samples by liquid scintillation counting of a source obtained by mixing the water sample with a hydrophilic scintillation cocktail. The method presented in this document is considered a screening method because of the potential presence of interfering radionuclides in the test sample. However, if the sample is known to be free of interfering radionuclides then 3H and 14C can be measured quantitatively. The method can be used for any type of environmental study or monitoring. This method is applicable to test samples of supply\/drinking water, rainwater, surface and ground water, marine water, as well as cooling water, industrial water, domestic, and industrial wastewater having an activity concentration ranging from 5 Bq\u2219l-1 to 106 Bq\u2219l-1 (upper limit of the liquid scintillation counters for direct counting). For higher activity concentrations, the sample can be diluted to obtain a test sample within this range. - , - Published - , - Refereed - , - Current - , - 14.a - , - Transient tracers - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2515", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2515", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2515", "url": "https:\/\/hdl.handle.net\/11329\/2515" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Tritium", "Carbon-14", "Radiocarbon", "Other inorganic chemical measurements", "liquid scintillation counters", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1385", "name": "Cornice dynamics and meteorological control at Gruvefjellet, Central Svalbard.", "description": " - Cornice fall avalanches endanger life and infrastructure in Nybyen, a part of Svalbard\u2019s main settlement Longyearbyen, located at 78\u25e6 N in the High Arctic. Thus, cornice dynamics \u2013 accretion, cracking and eventual failure \u2013 and their controlling meteorological factors were studied along the ridgeline of the Gruvefjellet plateau mountain above Nybyen in the period 2008\u20132010. Using two automatic time-lapse cameras and hourly meteorological data in combination with intensive field observations on the Gruvefjellet plateau, cornice process dynamics were investigated in larger detail than previously possible. Cornice accretion starts directly following the first snowfall in late September and October, and proceeds throughout the entire snow season under a wide range of air temperature conditions that the maritime winter climate of Svalbard provides. Cornice accretion is particularly controlled by distinct storm events, with a prevailing wind direction perpendicular to the ridge line and average wind speeds from 12 m s\u22121. Particularly high wind speeds in excess of 30 m s\u22121 towards the plateau ridgeline lead to cornice scouring and reduce the cornice mass both vertically and horizontally. Induced by pronounced air temperature fluctuations which might reach above freezing and lead to midwinter rainfall events, tension cracks develop between the cornice mass and the plateau. Our measurements indicate a linear crack opening due to snow creep and tilt of the cornice around a pivot point. Four to five weeks elapsed between the first observations of a cornice crack until cornice failure. Throughout the two snow seasons studied, 180 cornice failures were recorded, of which 70 failures were categorized as distinctive cornice fall avalanches. A clear temporal pattern with the majority of cornice failures in June was found. Thus only daily air temperature could determine avalanche from nonavalanche days. Seven large cornice fall avalanches reached the avalanche fans on which the Nybyen settlement is located. The size of the avalanches was primarily determined by the size of the cornice that detached. The improved process understanding of the cornice dynamics provides a first step towards a better predictability of this natural hazard, but also highlights that any type of warning based on meteorological factors is not an adequate measure to ensure safety of the housing at risk. - , - 11 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1385", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1385", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1385", "url": "https:\/\/hdl.handle.net\/11329\/1385" }, "author": [ { "@type": "Person", "name": "Vogel, Stephan" }, { "@type": "Person", "name": "Eckerstorfer, Markus" }, { "@type": "Person", "name": "Christiansen, Hanne H." } ], "keywords": [ "Parameter Discipline::Cryosphere::Cryosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1857", "name": "Retrieval of Ice Samples Using the Ice Drone", "description": " - The ecological impacts of meltwater produced by icebergs and sea ice in the waters around Greenland are poorly understood, due in part to limited observations. Current field sampling methods are resource and labor-intensive, and not without significant risk. We developed a small, unoccupied, and robotic platform to retrieve ice samples, while simultaneously eliminating safety risks to scientists and their support infrastructure. The IceDrone consists of a modified commercial hexcopter that retrieves ice samples. We describe the design requirements, construction, and testing of the IceDrone. IceDrone\u2019s capabilities were validated in the laboratory and during a field test in January 2019 near Nuuk (southwest Greenland). IceDrone retrieved samples in hard and dry glacial ice in harsh winter conditions. The field test led to modifications in the drilling head design and drilling process that enable it to retrieve samples in thin sea ice. All design files and software are provided in an attempt to rapidly enhance our collective understanding of ice-ocean interactions while improving the safety and productivity of field sampling campaigns. - , - Refereed - , - N\/A - , - Novel (no adoption outside originators) - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1857", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1857", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1857", "url": "https:\/\/hdl.handle.net\/11329\/1857" }, "author": [ { "@type": "Person", "name": "Carlson, Daniel F." }, { "@type": "Person", "name": "Pasma, Jonathan" }, { "@type": "Person", "name": "Jacobsen, Mathias Edslev" }, { "@type": "Person", "name": "Hansen, Mads Holm" }, { "@type": "Person", "name": "Thomsen, Steffen" }, { "@type": "Person", "name": "Lillethorup, Jeppe Pinholt" }, { "@type": "Person", "name": "Tirsgaard, Frederik Sebastian" }, { "@type": "Person", "name": "Flytkj\u00e6r, Adam" }, { "@type": "Person", "name": "Melvad, Claus" }, { "@type": "Person", "name": "Laufer, Katja" }, { "@type": "Person", "name": "Lund-Hansen, Lars Chresten" }, { "@type": "Person", "name": "Meire, Lorenz" }, { "@type": "Person", "name": "Rysgaard, S\u00f8ren" } ], "keywords": [ "Drone", "Ice samples", "Field geophysics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/691", "name": "Biological effects of contaminants: Microplate method for measurement of ethoxyresorufin-O-deethylase (EROD) in fish.", "description": " - Interest in the use of mixed function oxidase (MFa) as a monitoring tool for measuring the effects of pollntants derives from basic research carried out over the past twenty years (see review in Payne et al., 1987). The MFa system catalyses the degradation of both endogenous and exogenous lipophilic substrates to polar water-soluble products which are more easily excreted. It is present at relatively low activity in wild fish and its activity increases dramatically, apparently to enhance the degradation and clearance of offending compounds. This suggests that the activity of the MFa system in naturally contaminated organisms might be a measure of the degree of chemical contamination. There have been a number of field studies in which elevated MFa activity in fish was found to be associated with contamination by hydrocarbons (payne et al., 1987). The MFa system requires molecular O 2 and NADPH and involves a co-binding protein: cytochrome P-450. In marine fish, two of the model reactions of the MFa-system, aryl hydrocarbon hydroxylase (AHH) and ethoxyresorufin-a-deethylase (BRaD) (see Figure I), have been studied most intensively (Spies et al., 1982; Payne et al., 1987; Ellenton et al., 1985; Luxon et al., 1987). Both AHH and ERaD, of which ERaD is the more specific, are catalyzed by the cytochrome P-450IA sub-family (Nebert and Gonzalez, 1987). In mammals, the cytochrome P-450IA sub-family contains two isozymes, namely, cytochrome P-450IA1 and cytochrome P-450IA2, but in fish only the former appears to be inducible by contaminants (Nebert and Gonzalez, 1987). The cytochrome P-450IA1 isozyme in fish can be induced by polycyclic aromatic hydrocarbons (P AHs), polychlorinateddibenzodioxins (PCDDs), and certain polychlorinated biphenyls (PCBs) that have a planar configuration. This has been reported many times in laboratory studies (Jimenez et al., 1988), as well as in mesocosms (Addison and Edwards, 1988; Stegeman et al., 1988) and field studies (Spies et al., 1982; Luxon et al., 1987; Addison and Edwards, 1988). This makes the measurement of ERaD activity a good means of evaluating fish response to PAH contamination. It has recently been shown that specific isoforms of this protein are involved in the metabolism of xenobiotics. Therefore, an increase in this specific isoform is good evidence of the induction of the MFa system by contaminants. Ethoxyresorufin-a-deethylase (ERaD) activity is a specific assay for the xenobiotically inducible form of cytochrome P-450, thus making measurement of this activity in fish liver a good means of evaluating fish response to PAH contamination. The method described here has been adapted from the techniques described by Burke and Mayer (1974) and Klotz and Stegeman (Klotz et al., 1985) for routine measurements of ERaD in flatfish. The method uses microplate technology and is suitable for use in the field on research vessels and in the laboratory. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/691", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/691", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/691", "url": "https:\/\/hdl.handle.net\/11329\/691" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/525", "name": "In-flight Calibration of Satellite Ocean-Colour Sensors.", "description": " - Accurate radiometric calibration of space borne ocean-colour sensors is essential for retrieving geophysical variables (concentration of water constituents, inherent optical properties, aerosol content, etc.) quantitatively in terms of absolute values. The accuracy requirements for absolute calibration are especially demanding in ocean colour remote sensing, because the extracted signal is relatively small compared with the measured signal. In-orbit calibration is essential to ensure valuable data through monitoring of sensor stability. This report provides a review of techniques developed and employed for the radiometric calibration of satellite ocean colour sensors while they operate in orbit. All the techniques are presented with their accuracy, advantages, and limitations and recommendations are given on how to proceed with the radiometric calibration of ocean colour sensors during operational phase, in order to generate and maintain quality retrievals of water-leaving radiance during mission lifetime, including selection of calibration sites, requirements for in situ measurements, and sensor inter-calibration. - , - IOCCG Sponsoring Space Agencies - , - Published - , - Contributing authors: David Antoine, Steven Delwart, Pierre-Yves Deschamps, Robert E. Eplee, C\u00e9dric G. Fichot, Bertrand Fougnie, Robert Frouin, Howard R. Gordon, Jean-Paul Huot, Gerhard Meister, Andreas Neumann and Mayumi Yoshida. - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/525", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/525", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/525", "url": "https:\/\/hdl.handle.net\/11329\/525" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1729", "name": "Approaches to the collection and recycling of end of life fishing gear: An Overview with Contacts and Case Studies.", "description": " - This document was created by the Catalyse and Replicate Solutions Working Group of the Global Ghost Gear Initiative (GGGI). The purpose of the document is to assist prospective solutions project managers by providing a general overview of challenges and opportunities surrounding the collection and recycling of fishing gear, building on the assumption that finding appropriate solutions to the management of end of life and recovered fishing gear will have a direct impact on the amount of gear that ends up lost or otherwise discarded at sea. - , - Published - , - Prepared by Christina Dixon, World Animal Protection - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1729", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1729", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1729", "url": "https:\/\/hdl.handle.net\/11329\/1729" }, "contributor": [ { "@type": "Organization", "name": "World Animal Protection for GGGI" } ], "keywords": [ "Fishing gear", "Plastic pollution", "Marine litter", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/831", "name": "Workshop on Sea-Level Measurements in Hostile Conditions, Moscow, Russian Federation, 13 \u2013 15 March 2018.", "description": " - The international workshop on Sea-level Measurements in Hostile Conditions was held from 13 to 15 March 2018 at the N.N. Zubov State Oceanographic Institute (SOI) of Roshydromet, Moscow, Russian Federation. The workshop was co-chaired by Dr Alexander Postnov (SOI) and Dr Laurent Testut (Laboratoire d'Etudes en G\u00e9ophysique et Oceanographie Spatiales, LEGOS, France). The workshop was co-sponsored by the SOI and the Intergovernmental Oceanographic Commission (IOC) of UNESCO. Sea level observations are needed for a number of scientific and practical applications. Such observations often need to be carried out in what can be characterized as harsh or hostile environmental conditions. A significant part of the seas on the planet are covered with ice on either a permanent or seasonal basis. Many of them, in addition, often experience storms, high waves and\/or high tides. Biological\/environmental\/logistic factors as well as increasing requirements and expectations for performance can add to the challenges of operating a sea level measurement station in these conditions. The topic of sea level measurements in hostile conditions was first addressed by the Global Sea Level Observing System (GLOSS) in 1988 at an IOC sponsored workshop in Bidston (UK) and a subsequent one in 1990 in Leningrad (former USSR). The topic has not been addressed since and the Group of Experts of GLOSS recommended at their 15th Session (8-9 July 2017, New York, USA) to revisit the issues and to convene a new workshop which would review inter alia new measurement systems, instrument-protecting technologies (e.g. robust mountings), data transmission methods and Global Navigati on Satellite System (GNSS) at tide gauges, and summarize the experiences gained. Experts from 10 countries (Australia, Canada, Finland, France, Germany, Norway, Russian Federation, Sweden, United Kingdom, and USA) attended the workshop and made a total of 19 oral presentations and 4 posters. As required, the presentations and discussions at the workshop focused on problems of sea level measurements in regions exposed to several different kinds of adverse environmental impact. Such regions primarily include the coastal zones of the polar regions, as well as the seas covered with ice during winter. The workshop addressed the impacts of extreme events, such as major storms and high wave conditions. The workshop also discussed new measurement systems and instrument protection technologies, together with methods for sustainable transmission of observational data. All presentations are available from: http:\/\/www.ioc-unesco.org\/hostile-conditions-sea- level-workshop - , - Published - , - Current - , - Sea surface height - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/831", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/831", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/831", "url": "https:\/\/hdl.handle.net\/11329\/831" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Sea level", "Tide gauges" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/963", "name": "Comparison of sampling methods to assess benthic marine biodiversity. Are spatial and ecological relationships consistent among sampling gear?", "description": " - Marine benthic biodiversity can be measured using a range of sampling methods, including benthic sleds or trawls, grabs, and imaging systems, each of which targets a particular community or habitat. Due to the high cost and logistics of benthic sampling, particularly in the deep sea, studies are often limited to only one or two biological sampling methods. Results of biodiversity studies are used for a range of purposes, including species inventories, environmental impact assessments, and predictive modelling, all of which underpin appropriate marine resource management. However, the generality of marine biodiversity patterns identified among different sampling methods is unknown, as are the associated impacts on management decisions. This report reviews studies that have used two or more sampling methods in order to determine the consistency of their results among gear types, as well as the optimum combination of gear types. In addition, we directly analyse data that were acquired using multiple gear types to examine the consistency of biodiversity patterns among different gear types. These data represent two regions: 1) Joseph Bonaparte Gulf (JBG) in northern Australia, and 2) Icelandic waters as part of the Benthic Invertebrates of Icelandic Waters (BIOICE) program. For each dataset, we investigate potential patterns of biodiversity (measured by species richness, diversity indices, abundance, and community structure) in relation to environmental variables such as depth, geomorphology, and substrate. Our synthesis confirms that the availability of worldwide data from benthic marine biodiversity surveys reporting the results of two or more gear types is generally poor. Surveys were concentrated in the coastal regions of UK, Norway and Australia, with limited or no studies elsewhere and only 13% including the slope or deep sea. Our review of published literature and our analysis of datasets from two regions (northern Australia and Iceland) demonstrate there is little consistency in marine biodiversity trends between different gear groups, with only one study yielding consistent ecological patterns between sampling gear groups (imagery and epifaunal). This indicates that ideal gear combinations cannot easily be generalised among studies and regions. In addition, the lack of consistency between sampling gear groups highlights the need to analyse gear-specific data and avoid amalgamation. Even among gear that yielded relatively consistent ecological relationships, results varied across biological or environmental factors. Within a gear group, there are more consistencies in ecological relationships, with only two out of the eight studies compiled showing inconsistent ecological relationships A lack of gear-specific studies precluded the determination of the optimal combination of gear types for a particular regions or environments. Nevertheless, based on our findings, we provide preliminary recommendations and inform further research: 1) If general biodiversity patterns are to be investigated, sampling for marine benthic surveys should be carried out using multiple gear types that are concurrently deployed; 2) Target measures of biodiversity need to be decided a priori and appropriate gear used; 3) Preliminary data will help determine the optimal combination of gear types used to sample that region and address a given hypothesis; and 4) If only two gear types are able to be deployed, a grab or corer should be one of them, as this sampling gear type samples a different habitat than other gear groups. - , - Published - , - Refereed - , - Current - , - Zooplankton biomass and diversity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/963", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/963", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/963", "url": "https:\/\/hdl.handle.net\/11329\/963" }, "author": [ { "@type": "Person", "name": "Flannery, Emma" }, { "@type": "Person", "name": "Przeslawski, Rachel" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia" } ], "keywords": [ "Benthic sampling", "Marine biodiversity", "Biological sampling", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::benthos samplers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1809", "name": "Specification of required improvements and additions of shipboard data management system. Version 1. EuroFleets WP3, Deliverable 3.2.", "description": " - The Eurofleets+ fleet comprises twenty-seven research vessels operated by European and international research organizations that will provide ship time as part of the transnational access (TA) calls for deploying Eurofleets TA cruises. In the first two years of the project, the research vessels will be equipped with the ship board system EARS V2 (Eurofleets Automatic Reporting System), developed in predecessor Eurofleets projects. It consists of four major components: - EARS, developed by RBINS - Data Acquisition System, developed by IFREMER - En-route Ship Summary Report (SSR) system, developed by CSIC with contributions from IFREMER - Web Services, developed by CSIC with contributions from IFREMER These components will be upgraded by each of their original developers, also in the first two years of the project. This should result in an upgraded Eurofleets+ shipboard software suite, EARS V3, that will replace the initial EARS V2 installations. The ambition is to install and configure the upgraded system in the third and fourth years of the project on all Eurofleets+ vessels in various configurations, depending on the existing situations at these research vessels. This is required as each research vessel has a different local configuration, uses other instruments, and thus requires adaptations and flexibility from the Eurofleets+ ship board system. The EARS V2 system and its successor Eurofleets+ shipboard software suite EARS V3 will be instrumental for gathering the full set of cruise data that is acquired during the operations of an Eurofleets+ TA cruise and transferring en-route data to the EVIOR portal. This comprises metadata and data from: - En-route (underway) data acquisition by fixed sensors on the platform: location, meteorology, thermosalinometry, FerryBox, - Registered events of scientific measurements made and samples taken - , - European Commission H2020 \u2013 INFRAIA-2018-2020 - , - Published - , - Current - , - 14.a - , - N\/A - , - Organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1809", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1809", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1809", "url": "https:\/\/hdl.handle.net\/11329\/1809" }, "author": [ { "@type": "Person", "name": "Diez, Susana" } ], "contributor": [ { "@type": "Organization", "name": "EuroFleets" } ], "keywords": [ "Research Vessels", "Research Infrastructure", "Cross-discipline", "Data archival\/stewardship\/curation", "Data management planning and strategy development", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1115", "name": "OGC WaterML 2: Part 3 - Surface Hydrology Features (HY_Features) - Conceptual Model. Version 1.0.", "description": " - The OGC Surface Hydrology Features (HY_Features) standard defines a common conceptual information model for identification of specific hydrologic features independent of their geometric representation and scale. The model describes types of surface hydrologic features by defining fundamental relationships among various components of the hydrosphere. This includes relationships such as hierarchies of catchments, segmentation of rivers and lakes, and the hydrologically determined topological connectivity of features such as catchments and waterbodies. The standard also defines normative requirements for HY_Features implementation schemas and mappings to meet in order to be conformant with the conceptual model. The HY_Features model is based on an abstract catchment feature type that can have multiple alternate hydrology-specific realizations and geometric representations. It supports referencing information about a hydrologic feature across disparate information systems or products to help improve data integration within and among organizations. The model can be applied to cataloging of observations, model results, or other study information involving hydrologic features. The ability to represent the same catchment, river, or other hydrologic feature in several ways is critical for aggregation of cross-referenced or related features into integrated data sets and data products on global, regional, or basin scales. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1115", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1115", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1115", "url": "https:\/\/hdl.handle.net\/11329\/1115" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Surface Hydrology Features", "Conceptual Model" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1611", "name": "The Mediterranean Sea Surface Exploration Tool, reference document and product user manual Version 1.", "description": " - The Mediterranean Surface Exploration tool (MSET) tool allows exploring various ocean variables providing information on the sea surface of the Western Mediterranean Sea. These variables include five key Essential Ocean Variables ( EOVs , Tanhua et al., 2019): temperature, salinity, sea level, chlorophyll-a and currents, and two additional variables, temperature and salinity fronts, derived from the EOVs. The information is obtained from the SOCIB Western Mediterranean Operational system ( WMOP , Juza et al., 2016; Mourre et al., 2018) and from satellite data provided by Copernicus Marine Service ( CMEMS ). Oceanographic features can be explored as layers or time series at specific points defined by the user when double-clicking the layer on display. This tool is aimed for a wide range of end users in the field fisheries sustainability, conservation and education. The implementation fully relies on Web Map Services (WMS). All data handled by the tool is publically available from the SOCIB and CMEMS data servers. - , - EuroSea - , - Published - , - Current - , - 14.a - , - Sea surface height - , - Sea surface temperature - , - Subsurface temperature - , - Surface currents - , - Subsurface currents - , - Sea surface salinity - , - Subsurface salinity - , - Multi-organisational - , - Salinity fronts - , - Chlorophyll a - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1611", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1611", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1611", "url": "https:\/\/hdl.handle.net\/11329\/1611" }, "author": [ { "@type": "Person", "name": "Alvarez-Berastegui, D." }, { "@type": "Person", "name": "Frontera, B." }, { "@type": "Person", "name": "Rotllan-Garc\u00eda, P." }, { "@type": "Person", "name": "Heslop, E." }, { "@type": "Person", "name": "Fernandez, J.G." }, { "@type": "Person", "name": "Tugores, M.P." }, { "@type": "Person", "name": "Juza, M." }, { "@type": "Person", "name": "Tintor\u00e9, J." } ], "contributor": [ { "@type": "Organization", "name": "Balearic Islands Coastal Observing and Forecasting System (ICTS-SOCIB)," } ], "keywords": [ "Currents", "Sea level", "Data processing", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2012", "name": "Guidelines for sampling and determination of nitrate", "description": " - Dissolved inorganic nitrogen is present in seawater both as nitrite, nitrate and ammonium. As a complement to the overall assessment of nutrient status, detailed information on the distribution of different species must be obtained. 1.2 Purpose and aims Monitoring of nutrients in seawater is carried out to identify and quantify the amount of nutrients, which may cause eutrophication. The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is comparable for the HELCOM core indicator \u2018Dissolved inorganic nitrogen\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/nitrogen-din. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2012", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2012", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2012", "url": "https:\/\/hdl.handle.net\/11329\/2012" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Dissolved Inorganic Nitrogen", "Nutrients" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/672", "name": "Biological effects of contaminants: Quantification of \u03b4-aminolevulinic acid dehydratase (ALA-D) activity in fish blood.", "description": " - This document describes a colorimetric method to quantify the enzyme \u03b4-aminolevulinic acid dehydratase (ALA-D) in fish blood. ALA-D is an enzyme in the heme synthesis pathway. The activity of the enzyme is inhibited by lead (Pb) and it has, therefore, been used as a biomarker for lead exposure and effects in mammals, birds, and fish. This paper describes optimal conditions for the kinetic determination of ALA-D activity in fish blood, standardized to protein content. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Fish abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/672", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/672", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/672", "url": "https:\/\/hdl.handle.net\/11329\/672" }, "author": [ { "@type": "Person", "name": "Hylland, Ketil" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "\u03b4-aminolevulinic acid dehydratase", "ALA-D", "Ecotoxicological effects", "Atlantic cod", "Heme synthesis", "Lead", "Flounder", "Dab", "Red blood cells", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/817", "name": "Performance Verification Statement for the YSI Inc. Model 6025 Chlorophyll Probe.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. In this Verification Statement, we present the performance results of the YSI Model 6025 Chlorophyll Probe evaluated in the laboratory and under diverse field conditions in both moored and profiling tests. A total of nine different field sites or conditions were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.ysi.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/817", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/817", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/817", "url": "https:\/\/hdl.handle.net\/11329\/817" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/937", "name": "Microscope video recording.", "description": " - Protocol to record videos on SBR Microscope. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/937", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/937", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/937", "url": "https:\/\/hdl.handle.net\/11329\/937" }, "author": [ { "@type": "Person", "name": "Vaulot, Daniel" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "Video recording", "Infinity microscope camera", "GLOMICON Network", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1681", "name": "CTD Data Algorithms.", "description": " - CalCOFI CTD data, particularly the thermodynamic properties, are computed by Seasoft based on EOS-80. Temperatures, typically from the primary temperature sensor, are merged with bottle sample data into station files which produce the hydrographic database and other data products, Hydrographic Reports, figures, IEHs. CTD sensor salinities, and oxygen values may also replace bottle measurements on mistrip, interpolated standard levels (in place of calculated interpolations) or missing samples. Currently (May 2014) no TEOS-10 calculation for absolute salinities are calculated. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1681", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1681", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1681", "url": "https:\/\/hdl.handle.net\/11329\/1681" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1429", "name": "Water Quality Monitoring Field Manual.", "description": " - This manual is a reference tool for technicians conducting water sampling under the Yukon River Inter-Tribal Watershed Council (YRITWC) protocols. The YRITWC protocols were developed using the United States Geological Survey (USGS) protocols as a benchmark for quality (USGS, TWR Book 9). The structure set forth here will be one that focuses on end-user functionality. Throughout the manual key points will be noted with special characters and text boxes in the body of the text. This will highlight essential material, as well as give resources for additional research. - , - Published - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1429", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1429", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1429", "url": "https:\/\/hdl.handle.net\/11329\/1429" }, "contributor": [ { "@type": "Organization", "name": "Yukon River Inter-Tribal Watershed Council , Science Department" } ], "keywords": [ "Water sampling", "Drinking water", "Water quality", "Indigenous knowledge", "Parameter Discipline::Terrestrial::Terrestrial" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1886", "name": "CEMP Guidelines for marine monitoring and assessment of beach litter.", "description": " - 1.1. The reduction of pollution of the marine environment by macro- and microlitter is one of the great environmental challenges facing society today. 1.2. Under its draft North-East Atlantic Environment (NEAE) Strategy 2020-2030, OSPAR has a strategic objective to significantly reduce marine litter to levels that do not cause adverse impacts. This level, referred to as \u201cGood Environmental Status\u201d (GES), is also the objective set by the European Union (EU) in the Marine Strategy Framework Directive (MSFD, 2008\/56\/EC). 1.3. Measures to reduce the input of marine litter and to remove litter from the marine environment are presently being implemented through actions at the OSPAR level (OSPAR Marine Litter Regional Action Plan\/ML RAP) and through national actions. For Contracting Parties (CPs) who are EU Member States, measures implemented within the scope of the MSFD also contribute towards this objective. To direct these actions and assess their effectiveness in reducing marine litter pollution, but also to assess if GES and associated threshold values (TVs, Werner et al. 2020) are being achieved, indicators have been developed. Regarding marine litter, one of these indicators is the \u201cAbundance, composition and trends of marine litter washed ashore and\/or deposited on coastlines, including analysis of its spatial distribution and, where possible, sources\u201d, referred to as \u201cbeach litter\u201d. The indicator reflects spatial differences and temporal changes in abundance, composition and sources of marine litter in the coastal environment and is used as a proxy for litter pollution in the OSPAR marine environment. 1.4. Beach litter is defined by OSPAR as any persistent, manufactured or processed, solid material discarded, disposed of or abandoned in the marine and coastal environment, and encountered on beaches. A part of this litter originates from the sea, through deliberate or accidental losses from vessels (including cargos and waste), and transported to and deposited on the coast from the sea by winds and water currents. Another part is directly deposited on the coast by humans, e.g. tourists, fishers or the results of fly-tipping. Litter is also deposited further inland on riverbanks, directly into rivers, in urban areas and in the countryside and is subsequently transported by rivers, rain and wind into the marine environment and onto beaches. In addition, sewage infrastructures discharge litter items directly or indirectly, via rivers and sewage outlets into the sea and these items can be washed ashore. 1.5. The aim of this document is to provide guidelines for the monitoring and assessment programme for the OSPAR beach litter indicator that allows effective (i) detection of spatial differences and temporal changes in abundance, composition and, if possible, sources of litter encountered on beach monitoring sites and within country-regions, (ii) assessment of GES and associated TV achievement and (iii) evaluation of the effects and efficiency of OSPAR ML-RAP actions. - , - OSPAR, EU, European Union - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1886", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1886", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1886", "url": "https:\/\/hdl.handle.net\/11329\/1886" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Marine litter", "Beach litter", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/150", "name": "IODE Group of Experts on Technical Aspects of Data Exchange: Eighth Session : NASA Goddard Space Flight Centre Greenbelt, MD, United States of America 13-17 March 2000.", "description": " - During the 8th session of the IODE Group of Experts on Technical Aspects of Data Exchange reviewed the achievements made during the previous inter-sessional period. The Group also adopted a comprehensive workplan and medium-term objectives for GETADE that include: (i) develop End-To-End Data Management framework strategy and appropriate projects, products and services, based on user requirements; (ii) develop IODE Global metadata management system; (iii) develop marine XML as a mechanism to facilitate format and platform independent information, metadata and data exchange; (iv) develop the IODE Resource Kit as a marine data and information management reference tool for scientists and data\/information managers; (v) organize integrated national and regional level capacity building projects and programmes, linking equipment, training and operational activities; and (vi) develop a high-quality IODE web presence and IODE Data\/Information Management Portal as a mechanism to promote IODE, to reinforce the 'IODE family' principle, and to guide users to marine information, metadata and data sources. Seventeen participants attended the Session. - , - Data management, data exchange, MEDI pilote Project, Global Observing Systems Information Center, European Directory of Marine Environmental Data, EuroGOOS Directory of the Initial Observing System, Data Management capacity building - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/150", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/150", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/150", "url": "https:\/\/hdl.handle.net\/11329\/150" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Data exchange", "Data", "Data acquisition", "Data collections", "Data storage", "Data reports", "Data", "Data acquisition", "Data storage" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1294", "name": "IQOE Workshop Report: Guidelines for Observation of Ocean Sound, 13 July 2019, Park Hotel, Den Haag, Netherlands.", "description": " - A one-day workshop was convened to develop International Quiet Ocean Experiment (IQOE) program guidelines for measuring, processing, and reporting of ocean sound levels. Fifteen international experts came together from eight countries to discuss current practices for measuring, processing, and reporting ocean sound levels from existing long-term monitoring projects and to recommend key consensus parameters for ocean sound level measurements designed to facilitate cross-project comparisons. The workshop product is a meeting report that includes recommendations directed to ocean sound research programs, sponsoring international organizations, and\/or their science advisory groups to support the development and implementation of ocean sound processing reporting guidelines needed to make meaningful soundscape comparisons across time, space, and monitoring programs. The ocean community is challenged on how to best monitor and compare soundscapes over time and space to appropriately interpret change and impact when there are no standards or accepted guidelines on how to collect, process, and report ocean sound levels. Many ocean sound observation projects world-wide have started or are being planned (Table 1); harmonization and standardization of approaches will facilitate inter-comparison of the results. A lack of data processing, modeling and reporting standards can lead to the misinterpretation of analyses, creation of policy that may be either too conservative or liberal, and create obstacles for collaboration across past, current, and future monitoring studies. This is a time-critical topic, as ocean sound has recently been accepted as an Essential Ocean Variable (EOV) by the Global Ocean Observing System (GOOS) (Miksis-Olds et al., 2018), and a large influx of ocean sound data are expected in the near future as new acoustic sensors are integrated into GOOS. Multiple national and international entities have recognized the significance in addressing this need by convening cross-sector workshops of ocean stakeholders over the past five years to develop protocols and guidelines towards standardizing ocean sound analysis and reporting (IWC (2014); COL (2018)). These workshops resulted in the identification of consensus items and recommendations to enable meaningful soundscape comparisons, but lack of funding and leadership has led to systemic inaction in moving from recommendation to implementation. This IQOE Standards workshop was designed to evolve from recommendations to the development of guidelines for measuring, processing, modeling and reporting of ocean sound levels with application to characterization of soundscapes, ambient sound and ambient noise. - , - Published - , - Refereed - , - Current - , - 14.A - , - Ocean sound - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1294", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1294", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1294", "url": "https:\/\/hdl.handle.net\/11329\/1294" }, "contributor": [ { "@type": "Organization", "name": "International Quiet Ocean Experiment (IQOE)" } ], "keywords": [ "IQOE", "Ambient noise", "Man-induced effects", "Standards", "Soundscape", "Reporting", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::hydrophones", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/313", "name": "LEARN Toolkit of Best Practice for Research Data Management.", "description": " - Research data is the new currency of the digital age. From sonnets to statistics, and genes to geodata, the amount of material being created and stored is growing exponentially. However, the LERU Roadmap for Research Data identifies a serious gap in the level of preparation amongst research performing organisations. This gulf is prominent in areas such as policy development, awareness of current issues, skills development, training, costs, community building, governance, disciplinary\/legal\/terminological and geographical differences. This LEARN Executive Briefing will help decision and policy makers identify sound solutions. In addition, stakeholders can follow the LEARN Toolkit of Best Practice Case Studies, all of which will help organisations to grapple with the data deluge. LEARN also provides a self-assessment survey. - , - This project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 654139 - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/313", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/313", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/313", "url": "https:\/\/hdl.handle.net\/11329\/313" }, "contributor": [ { "@type": "Organization", "name": "LEARN : LEaders Activating Research Networks Project" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2403", "name": "GHRSST compliant AVHRR SST products over the Australian region", "description": " - The Australian Bureau of Meteorology produces a Group for High Resolution Sea Surface Temperature (GHRSST) compliant Sea Surface Temperature (SST) dataset over the Australian region, based on direct measurements from National Oceanic and Atmospheric Administration (NOAA) Polar Orbiting Environmental Satellites (POES) Advanced very High Resolution Radiometer (AVHRR) instruments. This document discusses features, function, performance and operational details of this system. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface temperature - , - Mature - , - Multi-organisational - , - N\/A - , - N\/A - , - Advanced Very High Resolution Radiometer (AVHRR) - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2403", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2403", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2403", "url": "https:\/\/hdl.handle.net\/11329\/2403" }, "author": [ { "@type": "Person", "name": "Griffin, Christopher" }, { "@type": "Person", "name": "Beggs, Helen" }, { "@type": "Person", "name": "Majewski, Leon" } ], "keywords": [ "SST", "Other physical oceanographic measurements", "radiometers", "Data processing", "Data quality control", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2369", "name": "Inverse modelling of cloud-aerosol interactions - Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach.", "description": " - This paper presents a novel approach to investigate cloud-aerosol interactions by coupling a Markov chain Monte Carlo (MCMC) algorithm to an adiabatic cloud parcel model. Despite the number of numerical cloud-aerosol sensitivity studies previously conducted few have used statistical analysis tools to investigate the global sensitivity of a cloud model to input aerosol physiochemical parameters. Using numerically generated cloud droplet number concentration (CDNC) distributions (i.e. synthetic data) as cloud observations, this inverse modelling framework is shown to successfully estimate the correct calibration parameters, and their underlying posterior probability distribution. The employed analysis method provides a new, integrative framework to evaluate the global sensitivity of the derived CDNC distribution to the input parameters describing the lognormal properties of the accumulation mode aerosol and the particle chemistry. To a large extent, results from prior studies are confirmed, but the present study also provides some additional insights. There is a transition in relative sensitivity from very clean marine Arctic conditions where the lognormal aerosol parameters representing the accumulation mode aerosol number concentration and mean radius and are found to be most important for determining the CDNC distribution to very polluted continental environments (aerosol concentration in the accumulation mode > 1000 cm(-3)) where particle chemistry is more important than both number concentration and size of the accumulation mode. The competition and compensation between the cloud model input parameters illustrates that if the soluble mass fraction is reduced, the aerosol number concentration, geometric standard deviation and mean radius of the accumulation mode must increase in order to achieve the same CDNC distribution. This study demonstrates that inverse modelling provides a flexible, transparent and integrative method for efficiently exploring cloud-aerosol interactions with respect to parameter sensitivity and correlation. - , - Refereed - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2369", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2369", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2369", "url": "https:\/\/hdl.handle.net\/11329\/2369" }, "author": [ { "@type": "Person", "name": "Partridge, D. G." }, { "@type": "Person", "name": "Vrugt, J. A." }, { "@type": "Person", "name": "Tunved, P." }, { "@type": "Person", "name": "Ekman, A. M. L." }, { "@type": "Person", "name": "Struthers, H." }, { "@type": "Person", "name": "Sorooshian, A." } ], "keywords": [ "Cloud-aerosol interactions", "Atmospheric chemistry", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2482", "name": "Standards for Hydrographic Surveys. Edition 4.", "description": " - Hydrographic surveying is undergoing fundamental changes in measurement technology. The advent of satellite positioning systems, multibeam and multitransducer acoustic systems and sophisticated data processing systems have drastically changed the way hydrographic surveys are conducted. With these advanced technologies, the Canadian Hydrographic Service and contractors can now collect data with higher precision and quality. It is therefore necessary to update the standards taking into account these technological advancements. The required positioning accuracy in previous versions of SSO was largely based on the practical limitations of draftsmanship at a given scale. Automated data management allows data to be presented at any scale. Therefore, the accuracy requirements for positions in this standard are a function of the errors contributed by positioning and sounding systems to some degree, but is mostly based on the perceived accuracy requirements of the user. These standards are based on those of the IHO. The CHS adopted the conclusions of the S44 working group of this organization on the evaluation of the measurement equipment technologies stating that it is likely that many hydrographic surveys will continue to be conducted with single beam echo sounders that only sample discrete profiles of the seafloor, with the 100% seafloor search only being employed in critical areas. This assumption led to the decision to retain the concept of line spacing even though it is no longer directly related to survey scale. When specifying depth accuracy, this standard departs from previous versions by specifying different accuracy requirements for different areas according to their importance for the safety of navigation. The most stringent requirements entail higher accuracy than previously specified, but for areas of less critical nature for navigation the requirements have been relaxed. Furthermore, this version makes the new requirement that surveyors strive to attribute all new data with a statistical estimate of its probable error. Equipment and procedures used to achieve the standards laid down in this document are left to the Survey Management Guideline and the quality system procedures. - , - Published - , - Refereed - , - Current - , - Mature - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2482", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2482", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2482", "url": "https:\/\/hdl.handle.net\/11329\/2482" }, "contributor": [ { "@type": "Organization", "name": "Canadian Hydorgraphic Service" } ], "keywords": [ "Hydrographic surveying", "Other physical oceanographic measurements", "Gravity, magnetics and bathymetry", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1371", "name": "ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels.", "description": " - The European Regional Seas Ecosystem Model (ERSEM) is one of the most established ecosystem models for the lower trophic levels of the marine food web in the scientific literature. Since its original development in the early nineties it has evolved significantly from a coastal ecosystem model for the North Sea to a generic tool for ecosystem simulations from shelf seas to the global ocean. The current model release contains all essential elements for the pelagic and benthic parts of the marine ecosystem, including the microbial food web, the carbonate system, and calcification. Its distribution is accompanied by a testing framework enabling the analysis of individual parts of the model. Here we provide a detailed mathematical description of all ERSEM components along with case studies of mesocosm-type simulations, water column implementations, and a brief example of a full-scale application for the north-western European shelf. Validation against in situ data demonstrates the capability of the model to represent the marine ecosystem in contrasting environments. - , - Refereed - , - 14.A - , - 14.2 - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Marine turtles, birds, mammals abundance and distribution - , - Microbe biomass and diversity - , - Invertebrate abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1371", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1371", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1371", "url": "https:\/\/hdl.handle.net\/11329\/1371" }, "author": [ { "@type": "Person", "name": "Butensch\u00f6n, Momme" }, { "@type": "Person", "name": "Clark, James" }, { "@type": "Person", "name": "Aldridge, John N." }, { "@type": "Person", "name": "Allen, Julian Icarus" }, { "@type": "Person", "name": "Artioli, Yuri" }, { "@type": "Person", "name": "Blackford, Jeremy" }, { "@type": "Person", "name": "Bruggeman, Jorn" }, { "@type": "Person", "name": "Cazenave, Pierre" }, { "@type": "Person", "name": "Ciavatta, Stefano" }, { "@type": "Person", "name": "Kay, Susan" }, { "@type": "Person", "name": "Lessin, Gennadi" }, { "@type": "Person", "name": "van Leeuwen, Sonja" }, { "@type": "Person", "name": "van der Molen, Johan" }, { "@type": "Person", "name": "de Mora, Lee" }, { "@type": "Person", "name": "Polimene, Luca" }, { "@type": "Person", "name": "Sailley, Sevrine" }, { "@type": "Person", "name": "Stephens, Nicholas" }, { "@type": "Person", "name": "Torres, Ricardo" } ], "keywords": [ "Benthos", "Pelagic ecosystem", "Microbial food web", "Ecosystem modeling", "Parameter Discipline::Biological oceanography::Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2563", "name": "SISP 1 - Manual for the International Bottom Trawl Surveys. Version 8. [ Replaced by SISP 10]", "description": " - The International Bottom Trawl Survey Working Group (IBTSWG) coordinates fishery\u2010independent multi\u2010species bottom trawl surveys within the ICES area. These surveys aim to provide ICES assessment and science groups with consistent and standardized data for examining spatial and temporal changes in (a) the distribution and relative abundance of fish and fish assemblages; and (b) of the biological parameters of commercial fish species for stock assessment purposes. In terms of groundfish surveys coordinated by IBTS, the main objectives are to: 1 ) To determine the distribution and relative abundance of pre\u2010recruits of the main commercial species with a view of deriving recruitment indices; 2 ) To monitor changes in the stocks of commercial fish species independently of commercial fisheries data; 3 ) To monitor the distribution and relative abundance of all fish species and selected invertebrates; 4 ) To collect data for the determination of biological parameters for selected species; 5 ) To collect hydrographical and environmental information; 6 ) To determine the abundance and distribution of late herring larvae (February North Sea survey). - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2563", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2563", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2563", "url": "https:\/\/hdl.handle.net\/11329\/2563" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Bottom trawl", "Survey methods", "Population structure", "Population dynamics", "Fish", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/435", "name": "Good Practice Guide for Underwater Noise Measurement.", "description": " - This document provides guidance on best practice for in-situ measurement of underwater sound, for processing the data, and for reporting the measurements using appropriate metrics . Measured noise levels are sometimes difficult to compare because different measurement methodologies or acoustic metrics are used , an d results can take on different meanings for each different application, leading to a risk of misunderstandings between scientists from different disciplines. Acoustic measurements are required for applications as diverse as acoustical oceanography, sonar, geophysical exploration, underwater communications, and offshore engineering. More recently, there has been an increased need to make in-situ measurements of underwater noise for the assessment of risk to marine life. Although not intended as a standard, these guidelines address the need for a common approach, and the desire to promote best practice. The work to prepare this good practice guide was funded in the UK by the National Measurement Office (Department for Business, Innovation and Skills) , Marine Scotland (The Scottish Government), and The Crown Estate - , - Published - , - Downloaded from first author ResearchGate record because NPL site was not available 22 Jun 2018. - , - Refereed - , - Current - , - Ocean sound - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/435", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/435", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/435", "url": "https:\/\/hdl.handle.net\/11329\/435" }, "author": [ { "@type": "Person", "name": "Robinson, Stephen P." }, { "@type": "Person", "name": "Lepper, Paul A." }, { "@type": "Person", "name": "Hazelwood, Richard A." } ], "contributor": [ { "@type": "Organization", "name": "National Measurement Office, Marine Scotland, The Crown Estate" } ], "keywords": [ "Ambient noise", "Hydrophone deployment", "Flow noise", "Vessel noise", "Cable strum", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::hydrophones", "Instrument Type Vocabulary::sound velocity sensors", "Sound propagation", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1269", "name": "Sargassum Fact Sheet.", "description": " - During 2011, massive quantities of pelagic sargassum occurred throughout the Caribbean, impacting aquatic resources, fisheries, shorelines, waterways, and tourism. A similar event occurred in 2014 and continues in 2015. This Fact Sheet seeks to share the state of knowledge about the sargassum influx and to promote the adoption of best management practices. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1269", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1269", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1269", "url": "https:\/\/hdl.handle.net\/11329\/1269" }, "author": [ { "@type": "Person", "name": "Doyle, E." }, { "@type": "Person", "name": "Franks, J." } ], "contributor": [ { "@type": "Organization", "name": "Gulf and Caribbean Fisheries Institute." } ], "keywords": [ "GCFI", "Seaweed", "Sargassum", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/641", "name": "Evaluation of marine pH sensors under controlled and natural conditions for the Wendy Schmidt Ocean Health XPRIZE.", "description": " - The annual anthropogenic ocean carbon uptake of 2.6 plus or minus 0.5 Gt C is changing ocean composition (e.g., pH) at unprecedented rates, but our ability to track this trend effectively across various ocean ecosystems is limited by the availability of low-cost, high-quality autonomous pH sensors. The Wendy Schmidt Ocean Health XPRIZE was a year-long competition to address this scientific need by awarding $2 million to developers who could improve the performance and reduce the cost of pH sensors. Contestants\u2019 sensors were deployed in a series of trials designed to test their accuracy, repeatability, and stability in laboratory, coastal, and open-ocean settings. This report details the validation efforts behind the competition, which included designing the sensor evaluation trials, providing the conventional true pH values against which sensors were judged, and quantifying measurement uncertainty. Expanded uncertainty (coverage factor k 5 2, corresponding to 95% confidence) of validation measurements throughout the competition was approximately 0.01 pH units. A custom tank was designed for the coastal trials to expose the sensors to natural conditions, including temporal variability and biofouling, in a spatially homogenous environment. The competition prioritized the performance metrics of accuracy, repeatability, and stability over specific applications such as high-frequency measurements. Although the XPRIZE competition focused on pH sensors, it highlights considerations for testing other marine sensors and measuring seawater carbonate chemistry. - , - Refereed - , - 14.3.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/641", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/641", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/641", "url": "https:\/\/hdl.handle.net\/11329\/641" }, "author": [ { "@type": "Person", "name": "Okazaki, Remy R." }, { "@type": "Person", "name": "Sutton, Adrienne J." }, { "@type": "Person", "name": "Feely, Richard A." }, { "@type": "Person", "name": "Dickson, Andrew G." }, { "@type": "Person", "name": "Alin, Simone R." }, { "@type": "Person", "name": "Sabine, Christopher L." }, { "@type": "Person", "name": "Bunje, Paul M. E." }, { "@type": "Person", "name": "Virmani, Jyotika I." } ], "keywords": [ "pH", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2045", "name": "Distance Sampling in R.", "description": " - Estimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate abundance. We describe how users can obtain estimates of abundance (and density) using the package as well as documenting the links it provides with other more specialized R packages. We also demonstrate how Distance provides a migration pathway from previous software, thereby allowing us to deliver cutting-edge methods to the users more quickly. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2045", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2045", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2045", "url": "https:\/\/hdl.handle.net\/11329\/2045" }, "author": [ { "@type": "Person", "name": "Miller, David L." }, { "@type": "Person", "name": "Rexstad, Eric" }, { "@type": "Person", "name": "Thomas, Len" }, { "@type": "Person", "name": "Marshall, Laura" }, { "@type": "Person", "name": "Laake, Jeffrey L." } ], "keywords": [ "Distance sampling", "Abundance estimation", "Biological oceanography", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1706", "name": "A critical review of the 15N2 tracer method to measure diazotrophic production in pelagic ecosystems.", "description": " - Dinitrogen (N2) fixation is an important source of biologically reactive nitrogen (N) to the global ocean. The magnitude of this flux, however, remains uncertain, in part because N2 fixation rates have been estimated following divergent protocols and because associated levels of uncertainty are seldom reported\u2014confounding comparison and extrapolation of rate measurements. A growing number of reports of relatively low but potentially significant rates of N2 fixation in regions such as oxygen minimum zones, the mesopelagic water column of the tropical and subtropical oceans, and polar waters further highlights the need for standardized methodological protocols for measurements of N2 fixation rates and for calculations of detection limits and propagated error terms. To this end, we examine current protocols of the 15N2 tracer method used for estimating diazotrophic rates, present results of experiments testing the validity of specific practices, and describe established metrics for reporting detection limits. We put forth a set of recommendations for best practices to estimate N2 fixation rates using 15N2 tracer, with the goal of fostering transparency in reporting sources of uncertainty in estimates, and to render N2 fixation rate estimates intercomparable among studies. - , - Refereed - , - 14.a - , - N\/A - , - Multi-organisational - , - Nitrogen - , - Dinitrogen - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1706", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1706", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1706", "url": "https:\/\/hdl.handle.net\/11329\/1706" }, "author": [ { "@type": "Person", "name": "White, Angelicque E." }, { "@type": "Person", "name": "Granger, Julie" }, { "@type": "Person", "name": "Selden, Corday" }, { "@type": "Person", "name": "Gradoville, Mary R." }, { "@type": "Person", "name": "Potts, Lindsey" }, { "@type": "Person", "name": "Bourbonnais, Annie" }, { "@type": "Person", "name": "Fulweiler, Robinson W." }, { "@type": "Person", "name": "Knapp, Angela N." }, { "@type": "Person", "name": "Mohr, Wiebke" }, { "@type": "Person", "name": "Moisander, Pia H." }, { "@type": "Person", "name": "Tobias, Craig R." }, { "@type": "Person", "name": "Caffin, Mathieu" }, { "@type": "Person", "name": "Wilson, Samuel T." }, { "@type": "Person", "name": "Benavides, Mar" }, { "@type": "Person", "name": "Bonnet, Sophie" }, { "@type": "Person", "name": "Mulholland, Margaret R." }, { "@type": "Person", "name": "Chang, Bonnie X." } ], "keywords": [ "N2", "Fixation", "Carbon, nitrogen and phosphorus" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1810", "name": "Detections of whale vocalizations by simultaneously deployed bottom-moored and deep-water mobile autonomous hydrophones.", "description": " - Advances in mobile autonomous platforms for oceanographic sensing, including gliders and deep-water profiling floats, have provided new opportunities for passive acoustic monitoring (PAM) of cetaceans. However, there are few direct comparisons of these mobile autonomous systems to more traditional methods, such as stationary bottom-moored recorders. Cross-platform comparisons are necessary to enable interpretation of results across historical and contemporary surveys that use different recorder types, and to identify potential biases introduced by the platform. Understanding tradeoffs across recording platforms informs best practices for future cetacean monitoring efforts. This study directly compares the PAM capabilities of a glider Seaglider) and a deep-water profiling float (QUEphone) to a stationary seafloor system (High-frequency Acoustic Recording Package, or HARP) deployed simultaneously over a 2 week period in the Catalina Basin, California, United States. Two HARPs were deployed 4 km apart while a glider and deep-water float surveyed within 20 km of the HARPs. Acoustic recordings were analyzed for the presence of multiple cetacean species, including beaked whales, delphinids, and minke whales. Variation in acoustic occurrence at 1-min (beaked whales only), hourly, and daily scales were examined. The number of minutes, hours, and days with beaked whale echolocation clicks were variable across recorders, likely due to differences in the noise floor of each recording system, the spatial distribution of the recorders, and the short detection radius of such a highfrequency, directional signal type. Delphinid whistles and clicks were prevalent across all recorders, and at levels that may have masked beaked whale vocalizations. The number and timing of hours and days with minke whale boing sounds were nearly identical across recorder types, as was expected given the relatively long propagation distance of boings. This comparison provides evidence that gliders and deep-water floats record cetaceans at similar detection rates to traditional stationary recorders at a single point. The spatiotemporal scale over which these single hydrophone systems record sounds is highly dependent on acoustic features of the sound source. Additionally, these mobile platforms provide improved spatial coverage which may be critical for species that produce calls that propagate only over short distances such as beaked whales. - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Ocean sound - , - Multi-organisational - , - Species distributions - , - Species abundances - , - marine habitats - , - Wideband Intelligent Signal Processor and Recorder (WISPR) - , - High-frequency Acoustic Recording Package - , - Seaglider - , - QUEphone - , - passive acoustic recorders - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1810", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1810", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1810", "url": "https:\/\/hdl.handle.net\/11329\/1810" }, "author": [ { "@type": "Person", "name": "Fregosi, Selene" }, { "@type": "Person", "name": "Harris, Danielle" }, { "@type": "Person", "name": "Matsumoto, Haruyoshi" }, { "@type": "Person", "name": "Mellinger, David K" }, { "@type": "Person", "name": "Barlow, Jay" }, { "@type": "Person", "name": "Baumann-Pickering, Simone" }, { "@type": "Person", "name": "Klinck, Holger" } ], "keywords": [ "Glider", "Deep-water float", "Mobile autonomous platform", "Passive acoustic monitoring", "Beaked whales", "Minke whales", "Delphinids", "Environment", "passive acoustic recorders", "Data visualization", "Data acquisition", "Data analysis", "Data delivery", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/170", "name": "Time series of ocean measurements. Volume 2 - 1984.", "description": " - Published - , - Time series data, ocean data, sea surface temperature, sea level variability, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/170", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/170", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/170", "url": "https:\/\/hdl.handle.net\/11329\/170" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Oceanographic data", "Oceanography", "Oceanographic surveys", "Time series analysis", "Sea level measurement", "Sea level changes", "Seasonal variations" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/347", "name": "Argo real-time quality control intercomparison.", "description": " - The real-time quality control (RTQC) methods applied to Argo profiling float data by the United Kingdom (UK) Met Office, the United States (US) Fleet Numerical Meteorology and Oceanography Centre, the Australian Bureau of Meteorology and the Coriolis Centre are compared and contrasted. Data are taken from the period 2007 to 2011 inclusive and RTQC performance is assessed with respect to Argo delayed-mode quality control (DMQC). An intercomparison of RTQC techniques is performed using a common data set of profiles from 2010 and 2011. The RTQC systems are found to have similar power in identifying faulty Argo profiles but to vary widely in the number of good profiles incorrectly rejected. The efficacy of individual QC tests are inferred from the results of the intercomparison. Techniques to increase QC performance are discussed. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/347", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/347", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/347", "url": "https:\/\/hdl.handle.net\/11329\/347" }, "author": [ { "@type": "Person", "name": "Wedd, R" }, { "@type": "Person", "name": "Stringer, M" }, { "@type": "Person", "name": "Haines, K" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::Argos GPS-localised transmitters", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/994", "name": "OGC TimeseriesML 1.2 \u2013 XML Encoding of the Timeseries Profile of Observations and Measurements , Version 1.2.", "description": " - TimeseriesML 1.2 defines an XML encoding that implements the OGC Timeseries Profile of Observations and Measurements, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of data exchange requirements. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/994", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/994", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/994", "url": "https:\/\/hdl.handle.net\/11329\/994" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2290", "name": "Integrating ocean observations across body-size classes to deliver benthic invertebrate abundance and distribution information.", "description": " - Invertebrate animals living at the seafloor make up a prominent component of life globally, spanning 10 orders of magnitude in body size over 71% of Earth\u2019s surface. However, integrating information across sizes and sampling methodologies has limited our understanding of the influence of natural variation, climate change and human activity. Here, we outline maturing practices that can underpin both the feasibility and impact of establishing Benthic Invertebrate Abundance and Distribution as a Global Ocean Observing System\u2014Essential Ocean Variable, including: (1) quantifying individual body size, (2) identifying the well-quantified portions of sampled body-size spectra, (3) taking advantage of (semi-)automated information processing, (4) application of metadata standards such as Darwin Core, and (5) making data available through internationally recognized access points. These practices enable broader-scale analysis supporting research and sustainable development, such as assessments of indicator taxa, biodiversity, biomass, and the modeling of carbon stocks and flows that are contiguous over time and space. - , - Refereed - , - 14.a - , - Invertebrate abundance and distribution - , - Mature - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2290", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2290", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2290", "url": "https:\/\/hdl.handle.net\/11329\/2290" }, "author": [ { "@type": "Person", "name": "Ruhl, Henry A." }, { "@type": "Person", "name": "Bett, Brian J." }, { "@type": "Person", "name": "Ingels, Jeroen" }, { "@type": "Person", "name": "Martin, Adrian" }, { "@type": "Person", "name": "Gates, Andrew R." }, { "@type": "Person", "name": "Yool, Andrew" }, { "@type": "Person", "name": "Benoist, Noelie" }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Howell, Kerry L." }, { "@type": "Person", "name": "Roberto, Danovaro" } ], "keywords": [ "Benthic invertebrates", "Benthic assessment method", "Essential Ocean Variables (EOV)", "Biota abundance, biomass and diversity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1765", "name": "Autonomous Optofluidic Chemical Analyzers for Marine Applications: Insights from the Submersible Autonomous Moored Instruments (SAMI) for pH and pCO2.", "description": " - The commercial availability of inexpensive fiber optics and small volume pumps in the early 1990\u2019s provided the components necessary for the successful development of low power, low reagent consumption, autonomous optofluidic analyzers for marine applications. It was evident that to achieve calibration-free performance, reagent-based sensors would require frequent renewal of the reagent by pumping the reagent from an impermeable, inert reservoir to the sensing interface. Pumping also enabled measurement of a spectral blank further enhancing accuracy and stability. The first instrument that was developed based on this strategy, the Submersible Autonomous Moored Instrument for CO2 (SAMI-CO2), uses a pH indicator for measurement of the partial pressure of CO2 (pCO2). Because the pH indicator gives an optical response, the instrument requires an optofluidic design where the indicator is pumped into a gas permeable membrane and then to an optical cell for analysis. The pH indicator is periodically flushed from the optical cell by using a valve to switch from the pH indicator to a blank solution. Because of the small volume and low power light source, over 8,500 measurements can be obtained with a \u223c500mL reagent bag and 8 alkaline D-cell battery pack. The primary drawback is that the design is more complex compared to the single-ended electrode or optode that is envisioned as the ideal sensor. The SAMI technology has subsequently been used for the successful development of autonomous pH and total alkalinity analyzers. In this manuscript, we will discuss the pros and cons of the SAMI pCO2 and pH optofluidic technology and highlight some past data sets and applications for studying the carbon cycle in aquatic ecosystems. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1765", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1765", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1765", "url": "https:\/\/hdl.handle.net\/11329\/1765" }, "author": [ { "@type": "Person", "name": "Lai, Chun-Ze" }, { "@type": "Person", "name": "DeGrandpre, Michael D." }, { "@type": "Person", "name": "Darlington, Reuben C." } ], "keywords": [ "Optofluidics", "Carbon cycle", "Chemical oceanography", "pH sensors", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1159", "name": "OGC Common DataBase Volume 2 Appendices. Version 1.0.0.", "description": " - The full CDB specification, in its current, industry-maintained format and version, addresses the interoperability challenge of full plug-and-play interoperability and re-use of synthetic environment databases used for high fidelity simulation and mission rehearsal. The first CDB specification was developed under a competitive contract awarded to CAE to meet requirements of the United States Special Operations Command. The CDB Specification was required to be open and non-proprietary as part of the original requirements. The revision history of the industry-maintained specification is contained in the following document sections. The CDB specification was been widely implemented by multiple, independent industry contractors for end-user simulation and mission rehearsal customers in many different countries over a period of ten years. - , - Published - , - For ease of editing and review, the specification has been separated into two Volumes. Volume 1 contains the main body of the specification, and Volume 2 contains the appendices. Nevertheless, the documents remain large and verbose, as the current, industry maintained specification has functioned as a data model, an encoding specification, and an engineering tutorial on how to implement this new and different simulation synthetic environment paradigm. - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1159", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1159", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1159", "url": "https:\/\/hdl.handle.net\/11329\/1159" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/649", "name": "Appendix 5. Autopsy and cleaning of reverse osmosis elements affected by harmful algal bloom-contaminated seawater.", "description": " - Following an algal bloom, if a change is observed in the reverse osmosis (RO) performance, an initial visual plant inspection should be carried out, including looking at and removing cartridge filters and membrane elements from different positions in the pressure vessel. Fouling may be a combination of organic, biofouling, particulate, and metal hydroxide. Biofouling is often slimy or gelatinous which may be accompanied by a bad smell while iron fouling is a reddish brown deposit. Figure 1 shows evidence of biological fouling on a cartridge filter and inside a pressure vessel following an algal bloom event. If it is obvious that there is severe fouling, membrane autopsy would be the most appropriate tool for identifying the nature of the foulant, and the best cleaning protocol for removal of the foulant. Autopsy results would be interpreted in conjunction with an analysis of plant performance data. - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/649", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/649", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/649", "url": "https:\/\/hdl.handle.net\/11329\/649" }, "author": [ { "@type": "Person", "name": "Pe\u00f1a, Nuria" }, { "@type": "Person", "name": "Chesters, Steve" }, { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Boerlage, Siobhan F. E." } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Reverse osmosis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2579", "name": "An ocean practices maturity model: from good to best practices.", "description": " - Ocean practices, intended as a wide spectrum of methodologies supporting ocean-related research, operations, and applications, are constantly developed and improved to enable informed decision-making. Practices start from the idea of an individual or a group and often evolve towards what can be called good or best practices. This bottom-up approach may in principle result in different paths for the evolution of each practice, and ultimately generate situations where it is not clear to a new user how to compare two practices aiming at the same objective, and determine which one is best. Also, although a best practice is supposed to be the result of a multi-institutional collaborative effort based on the principles of evidence, repeatability and comparability, a set of individual requirements is not yet defined in literature for a practice to be considered a good, better, and ultimately a best practice. This paper proposes a method for addressing those questions and presents a new maturity model for ocean practices, built upon existing maturity models for systems and software, developed and adopted in the last decades. The model provides attributes for assessing both the maturity of the practice description and its implementation. It also provides a framework for analyzing gaps and suggesting actions for practice evolution. The model has been tested against a series of widely adopted practices and the results are reported and discussed. This work facilitates a common approach for developing and assessing practices, from which greater interoperability and trust can be achieved. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - 2024-08-20 - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Novel - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2579", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2579", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2579", "url": "https:\/\/hdl.handle.net\/11329\/2579" }, "author": [ { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Alvarez, Enrique" }, { "@type": "Person", "name": "Cosoli, Simone" }, { "@type": "Person", "name": "Roarty, Hugh" } ], "keywords": [ "Ocean practices", "Best practices", "Maturity model", "Methodology", "Value chain", "Multibeam", "Sea level", "Cross-discipline", "High frequency radar (HFR)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/264", "name": "Manual for Real-Time Quality Control of Wind Data: a guide to quality control and quality assurance for coastal and oceanic wind observations. Version 1.0.", "description": " - The U.S. Integrated Ocean Observing System (IOOS) has a vested interest in collecting high quality data for the 26 core variables (U.S. IOOS 2010) measured on a national scale. In response to this interest, U.S. IOOS continues to establish written, authoritative procedures for the quality control (QC) of real-time data through the Quality Assurance\/Quality Control of Real -Time Oceanographic Data (QARTOD) program, addressing each variable as funding permits . Additional efforts can also be undertaken to produce higher quality delayed mode data. This wind data manual is the sixth in a series of guidance documents that address QC of real-time data of each core variable. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/264", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/264", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/264", "url": "https:\/\/hdl.handle.net\/11329\/264" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Wind data", "Quality control", "IOOS", "QARTOD", "Quality assurance", "Parameter Discipline::Atmosphere", "Wind sensors", "Data Management Practices::Data quality management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1154", "name": "Volume 2: OGC CDB Core: Model and Physical Structure: Informative Annexes. Version 1.0.", "description": " - This document provides the Annexes for the CDB Core: Model and Physical Structure standard. The only exception is Annex A, Abstract Test Suite. The CDB ATS Annex is in Volume 1: Core document. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1154", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1154", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1154", "url": "https:\/\/hdl.handle.net\/11329\/1154" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/184", "name": "IOC Strategic plan for Oceanographic Data and Information Management (2008-2011). [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/330]", "description": " - The IOC Data and Information Management Strategy is for all data and information collected in IOC programmes. The vision is for \u201cA comprehensive and integrated ocean data and information system, serving the broad and diverse needs of IO Member States, for both routine and scientific use\". - , - This report superseded by IOC Manuals and Guides 66 (2013-2016 ). http:\/\/hdl.handle.net\/11329\/330 - , - Published - , - Oceanographical Data and Information centre Management - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/184", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/184", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/184", "url": "https:\/\/hdl.handle.net\/11329\/184" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Oceanography", "Data", "Data processing", "Data acquisition", "Data collections", "Information centres", "Information handling", "Information retrieval", "Information systems", "Information systems", "Data", "Data processing", "Data acquisition", "Information retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1420.2", "name": "African Marine Litter Monitoring Manual. 2nd Edition.", "description": " - The manual evolved from an initiative in the Western Indian Ocean region that was spearheaded by WIOMSA (Western Indian Ocean Marine Science Association) and Sustainable Seas Trust. The first edition created considerable interest across Africa, but this second edition assumes even greater significance given the endorsement of a historic resolution at the UN Environment Assembly (UNEA-5) in March 2022 to End Plastic Pollution and forge an international legally binding agreement by 2024. The resolution reflects a crucial milestone in countries\u2019 commitment to address the full lifecycle of plastic pollution, since the treaty now being developed will encompass plastic production, design and disposal, while also fostering enhanced international collaboration, technology access and capacity building. Within the context of the global plastics treaty, it becomes imperative for countries to understand their plastic baselines, set ambitious goals, and monitor progress toward achieving those goals. The African Litter Monitoring Manual provides the necessary guidance and standardised methods for measuring and monitoring plastic litter, ensuring that results obtained across different countries in Africa can be compared and evaluated effectively. Western Indian Ocean countries have made notable commitments and have implemented innovative measures to combat plastic pollution. In line with these commitments, Kenya, Madagascar, Mauritius, Mozambique, Seychelles, South Africa and Tanzania are actively engaged in the plastic waste monitoring programme initiated by WIOMSA and Sustainable Seas Trust. These countries have recognised the importance of consistent and reliable data collection to inform management strategies and guide action plans. This manual enables countries elsewhere in Africa to benefit from the experience and collect data in the same way so that, for example, countries in the Abidjan Convention could compare successes with those of the Nairobi Convention, and further harmonise methods. This second edition of the manual incorporates valuable insights and feedback from the dedicated teams working in the field. It introduces new methods to assess litter upstream, including land-based sources and waterways, reflecting the growing importance of addressing plastics at their source. The manual has been meticulously designed to be accessible to citizens, citizen scientists and scientists alike, ensuring that all stakeholders can contribute valuable data, regardless of their background or level of expertise. As we advance towards establishing the global plastics treaty, the importance of the African Litter Monitoring Manual amplifies. Countries will require accurate tools to measure their levels of plastic pollution on land and in water, and to assess the impact of strategies to reduce such pollution. This manual provides the scientific rigour, feasibility and reproducibility that these endeavours require. Finally, I would like to thank Sustainable Seas Trust and all of the individuals and organisations who contributed to the creation of this manual. Your dedication and collaborative efforts are critical in addressing the triple planetary crisis of climate change, biodiversity loss and pollution. Let us use the African Litter Monitoring Manual as a compass to guide us toward a future free of plastic pollution in the Western Indian Ocean region, and indeed the rest of Africa too, to protect human and environmental health for future generations. - , - Ministry of Foreign Affairs, Norway Western Indian Ocean Marine Science Association (WIOMSA) - , - Published - , - Current - , - 14.1 - , - 14.2 - , - Marine debris - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - , - Validated (tested by third parties) - , - Organisational - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1420.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1420.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1420.2", "url": "https:\/\/hdl.handle.net\/11329\/1420.2" }, "contributor": [ { "@type": "Organization", "name": "African Marine Waste Network, Sustainable Seas Trust" } ], "keywords": [ "Litter Monitoring", "Marine plastics", "Marine litter", "Marine debris", "Marine pollution", "Litter monitoring", "Brand audit", "Beach surveys", "Street surveys", "Anthropogenic contamination", "Data Management Practices::Data acquisition", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/658", "name": "Specifications for a European FerryBox data management system. WP5.3, D5.3. Version 1.1.", "description": " - Today observational data from FerryBoxes in both near real time and delayed mode is collected and stored by different data providers. The stored data may differ in both format and in quality controls performed. Some of the observations are made public and shared with open access, others are not. It is time-consuming for the users to visit different sites\/data bases from different data providers and also complicated if the data offered is in different formats. This is applicable for most marine observational data and the reason for international databases\/data like EMODnet, SeaDataNet (delayed mode) and CMEMS (near real time and delayed mode) with standardized formats and quality controls. The Copernicus Marine Environmental Monitoring Service (CMEMS) provides open access to marine data and information, with both a regional European and a global perspective. CMEMS focuse s on monitoring and forecasting . The online service includes satellite data and products, marine observational data and model data. The different data types are offered in a standard netCDF format to ensure compatibility and continuity. The observational data is managed by CMEMS\u2019s InSitu TAC (Thematic Assembly Centre), a cooperation by the Regional Ocean Observing Systems (ROOS\u2019s) in Europe. The ROOS\u2019s are represented by one national institute respectively , the dissemination unit, in the In Situ TAC . The ROOS\u2019s , via the dissemination units, have the responsibility to collect, encourage to apply open access and disseminate to CMEMS , any marine observational data , including FerryBox data, that can be of interest in their regions and to make sure that standard ized automatic quality controls have been performed . The strength of CMEMS is that the observational data is updated daily at the CMEMS site in netCDF format and has undergone specified quality controls, data al so relay on a set parameter list stating standardized parameter names and units . By using the CMEMS\u2019s track FerryBox data follow how other open marine observational data in Europe is handled and made available. Ferrybox data benefit from the automatic qual ity controls and standard formats and is straightforward to handle. It is easy to use with all other types of data that is made available online on the CMEMS site . While CMEMS is the route , in particular , for near real time data, SeaDataNet offers the possibility of delayed mode quality control and long term storage, discovery and access of validated data sets. SeaDataNet has a close cooperation with CMEMS and they work together on climatologies which are used for calibrating numerical models. SeaDataN et, CMEMS and EuroGOOS are the 3 main pillars under the EMODnet Physics portal and bring together past, present, and future data for a major part of all European physical oceanographic observations. Data collected by FerryBoxes is no t much different than d ata collected by other operational systems and benefits from use of the existing European infrastructure and capacities of both the operational data nodes and the delayed mode data centres. The HZG FerryBox Database , established at the Institute of Coastal Research at HZG , can be an alternative, a Common European FerryBox Database, for those data providers that don\u2019t\u2019 provide their data to CMEMS or SeaDataNet . The reasons can be that the data providers for some reason don\u2019t want their data to be diss eminated via the ROOS\u2019s n or giv ing open access to the data. A Common European Ferrybox Database may then step in and store the data and even perform quality controls or offer the online tools to the data provider before making the data available to CMEMS, if data is marked as open access. Data is stored as transects and is easily viewed in the online software and compared with other transects - , - Published - , - Refereed - , - Current - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/658", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/658", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/658", "url": "https:\/\/hdl.handle.net\/11329\/658" }, "author": [ { "@type": "Person", "name": "Linders, Johanna" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO-NEXT" } ], "keywords": [ "Copernicus Marine Environmental Monitoring Service (CMEMS)", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data acquisition", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1048", "name": "Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations [Article v1.0].", "description": " - The quantitative assessment of uncertainty and sampling quality is essential in molecular simulation. Many systems of interest are highly complex, often at the edge of current computational capabilities. Modelers must therefore analyze and communicate statistical uncertainties so that \u201cconsumers\u201d of simulated data understand its significance and limitations. This article covers key analyses appropriate for trajectory data generated by conventional simulation methods such as molecular dynamics and (single Markov chain) Monte Carlo. It also provides guidance for analyzing some \u2018enhanced\u2019 sampling approaches. We do not discuss systematic errors arising, e.g., from inaccuracy in the chosen model or force field. - , - Refereed - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1048", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1048", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1048", "url": "https:\/\/hdl.handle.net\/11329\/1048" }, "author": [ { "@type": "Person", "name": "Grossfield, Alan" }, { "@type": "Person", "name": "Patrone, Paul N." }, { "@type": "Person", "name": "Roe, Daniel R." }, { "@type": "Person", "name": "Schultz, Andrew J." }, { "@type": "Person", "name": "Siderius, Daniel W." }, { "@type": "Person", "name": "Zuckerman, Daniel M." } ], "keywords": [ "Statistical uncertainties", "Uncertainty quantification", "Model uncertainty", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1479", "name": "Biogeochemical Argo Cheat Sheets: Data distribution; Quality control and GDAC; Chlorophyll-a; Optical backscatter; pH; Irradiance; Oxygen; Nitrate.", "description": " - Eight cheat sheets for users of Biogeochemical Argo data. The sheets describe data distribution, quality control in the Global Data Acquisition Center and the six core Biogeochemical Argo variables (chlorophyll-a, optical backscatter, pH, Irradiance, oxygen and nitrate). The cheat sheets aim to guide users by displaying information on data processing, quality control and sensor performance for education purposes. - , - This research was supported by the Scientific Committee on Antarctic Research in the form of a Fellowship award and the Australian Research Council's Special Research Initiative for Antarctic Gateway Partnership (Project ID SR140300001). - , - Published - , - Refereed - , - Current - , - 14.A - , - Phytoplankton Biomass And Diversity - , - Particulate Matter - , - Oxygen - , - Nutrients - , - Inorganic Carbon - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1479", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1479", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1479", "url": "https:\/\/hdl.handle.net\/11329\/1479" }, "author": [ { "@type": "Person", "name": "Baldry, Kimberlee" }, { "@type": "Person", "name": "Sauz\u00e8de, Rapha\u00eblle" }, { "@type": "Person", "name": "Cornec, Marin" } ], "contributor": [ { "@type": "Organization", "name": "Institute for Marine and Antarctic Studies" } ], "keywords": [ "Biogeochemical water sampling", "Nitrate", "Chlorophyll-a", "Irradiance", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Chemical oceanography::Nutrients", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::optical backscatter sensors", "Instrument Type Vocabulary::fluorometers", "Instrument Type Vocabulary::pH sensors", "Instrument Type Vocabulary::radiometers", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/955", "name": "Product User Manual for the Global Ocean Biogeochemistry Hindcast GLOBAL_REANALYSIS_BIO_001_029. Version 1.", "description": " - This document is the user manual for the CMEMS global biogeochemical multi-year hindcast (no data assimilation) GLOBAL_REANALYSIS_BIO_001_029: it provides with daily and monthly fields covering 1993 \u2013 2017 period. This product is global. It is defined on a standard grid at 1\/4 degree (approx. 25km) and on 75 standard levels. It is interpolated from the 1\/12 degree and 50 vertical levels Arakawa C native grid. All variables are on the same grid points. GLOBAL_REANALYSIS_BIO_001_029 product is organised in three datasets: \uf0b7 global-reanalysis-bio-001-029-daily which contains 3D daily mean fields of chlorophyll, nitrate, phosphate, silicate, dissolved oxygen, net primary production. \uf0b7 global-reanalysis-bio-001-029-monthly which contains 3D daily mean fields of chlorophyll, nitrate, phosphate, silicate, dissolved oxygen, net primary production, iron, and phytoplankton concentration in carbon. In these datasets, one can find surface partial pressure of CO2 and pH as well. But these two last variables are not validated yet. \uf0b7 global-reanalysis-bio-001-029-statics which contains the static fields for the system: coordinates, mean sea surface level, mask and bathymetry. The product is published on the CMEMS dissemination server after automatic and human quality controls. Product is available on-line and disseminated through the CMEMS Information System. Files downloaded are in NetCDF4 format and follow CF-1.6 convention. This multi-year product is described in the Quality Information Document (QUID) CMEMS_GLO_QUID_001_029 (http:\/\/marine.copernicus.eu\/documents\/PUM\/CMEMS-GLO-QUID001-029.pdf). More detailed information can be obtained from the CMEMS Service Desk (servicedesk.cmems@mercator-ocean.eu ). - , - Published - , - Refereed - , - Current - , - Oxygen - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/955", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/955", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/955", "url": "https:\/\/hdl.handle.net\/11329\/955" }, "author": [ { "@type": "Person", "name": "Perruche, Coralie" } ], "contributor": [ { "@type": "Organization", "name": "Copernicus Marine Environment Monitoring Service" } ], "keywords": [ "Chlorophyll", "Nitrate", "Phosphate", "Silicate", "Dissolved oxygen", "Net primary production", "Iron", "Phytoplankton concentration in carbon", "Data Management Practices::Data analysis", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1043", "name": "OSTEP Market Survey Summary Acoustic Releases for Taut Line Moorings.", "description": " - The Ocean Systems Test and Evaluation Program conducted a market survey to determine which acoustic release best met their requirements for use in mooring current meters and buoys. A series of factors were considered - housing material, depth rating, weight, maximum tension, cost, etc. The survey report concludes with short and long term recommendations. - , - Unpublished - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1043", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1043", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1043", "url": "https:\/\/hdl.handle.net\/11329\/1043" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Gray, Grace" }, { "@type": "Person", "name": "Heitsenrether, Bob" }, { "@type": "Person", "name": "Krug, Warren" } ], "keywords": [ "Acoustic release", "Mooring", "Market survey", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/492", "name": "Processing Bio-Argo nitrate concentration at the DAC Level. Version 1.1, March 3rd 2018.", "description": " - The only method used to date to measure dissolved nitrate concentration (NITRATE) with sensors mounted on profiling floats is based on the absorption of light at ultraviolet wavelengths by nitrate ion (Johnson and Coletti, 2002; Johnson et al., 2010; 2013; D\u2019Ortenzio et al., 2012). Nitrate has a modest UV absorption band with a peak near 210 nm, which overlaps with the stronger absorption band of bromide, which has a peak near 200 nm. In addition, there is a much weaker absorption due to dissolved organic matter and light scattering by particles (Ogura and Hanya, 1966). The UV spectrum thus consists of three components, bromide, nitrate and a background due to organics and particles. The background also includes thermal effects on the instrument and slow drift. All of these latter effects (organics, particles, thermal effects and drift) tend to be smooth spectra that combine to form an absorption spectrum that is linear in wavelength over relatively short wavelength spans. If the light absorption spectrum is measured in the wavelength range around 217 to 240 nm (the exact range is a bit of a decision by the operator), then the nitrate concentration can be determined. Two different instruments based on the same optical principles are in use for this purpose. The In Situ Ultraviolet Spectrophotometer (ISUS) built at MBARI or at Satlantic has been mounted inside the pressure hull of a Teledyne\/Webb Research APEX and NKE Provor profiling floats and the optics penetrate through the upper end cap into the water. The Satlantic Submersible Ultraviolet Nitrate Analyzer (SUNA) is placed on the outside of APEX, Provor, and Navis profiling floats in its own pressure housing and is connected to the float through an underwater cable that provides power and communications. Power, communications between the float controller and the sensor, and data processing requirements are essentially the same for both ISUS and SUNA. There are several possible algorithms that can be used for the deconvolution of nitrate concentration from the observed UV absorption spectrum (Johnson and Coletti, 2002; Arai et al., 2008; Sakamoto et al., 2009; Zielinski et al., 2011). In addition, the default algorithm that is available in Satlantic sensors is a proprietary approach, but this is not generally used on profiling floats. There are some tradeoffs in every approach. To date almost all nitrate sensors on profiling floats have used the Temperature Compensated Salinity Subtracted (TCSS) algorithm developed by Sakamoto et al. (2009), and this document focuses on that method. It is likely that there will be further algorithm development and it is necessary that the data systems clearly identify the algorithm that is used. It is also desirable that the data system allow for recalculation of prior data sets using new algorithms. To accomplish this, the float must report not just the computed nitrate, but the observed light intensity. Then, the rule to obtain only one NITRATE parameter is, if the spectrum is present then, the NITRATE should be recalculated from the spectrum while the computation of nitrate concentration can also generate useful diagnostics of data quality. - , - Published - , - Refereed - , - Current - , - Nutrients - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/492", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/492", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/492", "url": "https:\/\/hdl.handle.net\/11329\/492" }, "author": [ { "@type": "Person", "name": "Johnson, Ken" }, { "@type": "Person", "name": "Pasqueron De Fommervaul, Orens" }, { "@type": "Person", "name": "Serra, Romain" }, { "@type": "Person", "name": "D'Ortenzio, Fabrizio" }, { "@type": "Person", "name": "Schmechtig, Catherine" }, { "@type": "Person", "name": "Claustre, Herve" }, { "@type": "Person", "name": "Poteau, Antoine" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for Argo Data Management" } ], "keywords": [ "Dissolved nitrate concentration", "Parameter Discipline::Chemical oceanography::Nutrients", "Data Management Practices::Data processing", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/89", "name": "Advances in the Applications of Marine Climatology - the dynamic part of the WMO Guide to the Applications of Marine Climatology (Rev. 1, June 2005).", "description": " - The CLIMAR99-WMO International Workshop on Advances in Marine Climatology, took place in September 1999 in Vancouver, British Colombia, Canada, and was hosted by the Meteorological Service of Canada, with additional sponsorship from WMO, NOAA's Office of Global Programs (OGP) and the National Weather Service (NWS), NOAA, USA. Several papers presented to the workshop were subsequently peer-reviewed. The first session of JCOMM (Akureyri, Iceland, 19-29 June 2001) recommended that these papers, as well as a paper on Beaufort equivalent scales by Mr Ralf Lindau (Germany), which was requested by the twelfth session of CMM, be published as the dynamic part of the Guide. This technical document contains all of these papers, reproduced in their revised form following the peer review process. It essentially represents the dynamic part of the Guide to the Applications of Marine Climatology. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-13-Marine-Climatology\/JCOMM-TR-13.pdf - , - ET-MC is reviewing publication and regularly provides updates - , - Some papers also published in International Journal of Climatology, 25(7), 821-1022. 2005. http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/joc.v25%3A7\/issuetoc - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/89", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/89", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/89", "url": "https:\/\/hdl.handle.net\/11329\/89" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Marine climatology", "Expert Team on Marine Climatology (ET-MC)" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/874.2", "name": "OceanSITES Data Format Reference Manual NetCDF Conventions and Reference Tables. Version 1.4. July 16, 2020. [GOOS ENDORSED PRACTICE]", "description": " - The main purpose of this document is to specify the format of the files that are used to distribute OceanSITES data, and to document the standards used therein. This includes naming conventions, or taxonomy, as well as metadata content. Intended users are OceanSITES data providers and users of OceanSITES data. 1.4.1 Technical Documentation available Technical documentation of the OceanSITES system consists of three pieces OceanSITES Data Format Reference Manual This manual. OceanSITES Data Users' Guide For data users, formerly called How to Access OceanSITES Data, this document contains an outline of Global Data Assembly Center (GDAC) data directory structure and ftp\/opendap access, data use policy\/license, list of sites, Data Assembly Centers (DACs), etc. It should be used in conjunction with the Data Format Reference Manual. OceanSITES Data Providers' Guide For data producers: DACs and Principal Investigators (PIs), based on the earlier document How to Work with GDAC. This document contains guidelines for providing metadata and data, file naming scheme, and how to upload data to the system. It should be used in conjunction with the Data Format Reference Manual. - , - Published - , - GERMAN === Der Hauptzweck dieses Dokuments besteht darin, das Format der Dateien festzulegen, die zur Verteilung von OceanSITES-Daten verwendet werden, und die darin verwendeten Standards zu dokumentieren. Dazu geh\u00f6ren Namenskonventionen oder Taxonomie sowie Metadateninhalte. Vorgesehene Benutzer sind OceanSITES-Datenanbieter und Benutzer von OceanSITES-Daten. 1.4.1 Verf\u00fcgbare technische Dokumentation Die technische Dokumentation des OceanSITES-Systems besteht aus drei Teilen: OceanSITES-Datenformat-Referenzhandbuch Dieses Handbuch. OceanSITES-Datenbenutzerhandbuch F\u00fcr Datenbenutzer, fr\u00fcher \u201eZugriff auf OceanSITES-Daten\u201c genannt, enth\u00e4lt dieses Dokument einen \u00dcberblick \u00fcber die Datenverzeichnisstruktur des Global Data Assembly Center (GDAC) und den FTP-\/OpenDAP-Zugriff, Datennutzungsrichtlinien\/-lizenzen, eine Liste von Standorten und Daten Montagezentren (DACs) usw. Es sollte in Verbindung mit dem Datenformat-Referenzhandbuch verwendet werden. Leitfaden f\u00fcr Datenanbieter von OceanSITES F\u00fcr Datenproduzenten: DACs und Principal Investigators (PIs), basierend auf dem fr\u00fcheren Dokument \u201eHow to Work with GDAC\u201c. Dieses Dokument enth\u00e4lt Richtlinien f\u00fcr die Bereitstellung von Metadaten und Daten, das Dateibenennungsschema und das Hochladen von Daten in das System. Es sollte in Verbindung mit dem Data Format Reference Manual verwendet werden - , - PORTUGUESE === O principal objetivo deste documento \u00e9 especificar o formato dos arquivos que s\u00e3o usados para distribuir os dados do OceanSITES e documentar os padr\u00f5es usados neles. Isso inclui conven\u00e7\u00f5es de nomenclatura ou taxonomia, bem como conte\u00fado de metadados. Os usu\u00e1rios pretendidos s\u00e3o provedores de dados OceanSITES e usu\u00e1rios de dados OceanSITES. 1.4.1 Documenta\u00e7\u00e3o t\u00e9cnica dispon\u00edvel A documenta\u00e7\u00e3o t\u00e9cnica do sistema OceanSITES consiste em tr\u00eas partes. Manual de Refer\u00eancia do Formato de Dados OceanSITES Este manual. Guia do usu\u00e1rio de dados OceanSITES Para usu\u00e1rios de dados, anteriormente chamado de Como acessar os dados OceanSITES, este documento cont\u00e9m um resumo da estrutura do diret\u00f3rio de dados do Global Data Assembly Center (GDAC) e acesso ftp\/opendap, pol\u00edtica\/licen\u00e7a de uso de dados, lista de sites, dados Centros de Montagem (DACs), etc. Deve ser usado em conjunto com o Manual de Refer\u00eancia de Formato de Dados. Guia dos Provedores de Dados OceanSITES Para produtores de dados: DACs e Investigadores Principais (PIs), com base no documento anterior How to Work with GDAC. Este documento cont\u00e9m diretrizes para fornecer metadados e dados, esquema de nomenclatura de arquivo e como fazer upload de dados para o sistema. Ele deve ser usado em conjunto com o Manual de Refer\u00eancia de Formato de Dados. - , - SPANISH === El objetivo principal de este documento es especificar el formato de los archivos que se utilizan para distribuir los datos de OceanSITES y documentar los est\u00e1ndares utilizados en ellos. Esto incluye convenciones de nomenclatura o taxonom\u00eda, as\u00ed como contenido de metadatos. Los usuarios previstos son los proveedores de datos de OceanSITES y los usuarios de los datos de OceanSITES. 1.4.1 Documentaci\u00f3n t\u00e9cnica disponible La documentaci\u00f3n t\u00e9cnica del sistema OceanSITES consta de tres piezas Manual de referencia del formato de datos OceanSITES Este manual. Gu\u00eda del usuario de datos de OceanSITES Para los usuarios de datos, anteriormente llamado C\u00f3mo acceder a los datos de OceanSITES, este documento contiene un resumen de la estructura del directorio de datos del Centro de ensamblaje de datos global (GDAC) y acceso ftp\/opendap, pol\u00edtica\/licencia de uso de datos, lista de sitios, Datos Centros de ensamblaje (DAC), etc. Debe usarse junto con el Manual de referencia de formato de datos. Gu\u00eda de proveedores de datos de OceanSITES Para productores de datos: DAC e investigadores principales (PI), basada en el documento anterior C\u00f3mo trabajar con GDAC. Este documento contiene pautas para proporcionar metadatos y datos, un esquema de nombres de archivos y c\u00f3mo cargar datos en el sistema. Debe usarse junto con el Manual de referencia de formato de datos. - , - FRENCH === L'objectif principal de ce document est de sp\u00e9cifier le format des fichiers qui sont utilis\u00e9s pour distribuer les donn\u00e9es OceanSITES et de documenter les normes qui y sont utilis\u00e9es. Cela inclut les conventions de d\u00e9nomination, ou taxonomie, ainsi que le contenu des m\u00e9tadonn\u00e9es. Les utilisateurs pr\u00e9vus sont les fournisseurs de donn\u00e9es OceanSITES et les utilisateurs des donn\u00e9es OceanSITES. 1.4.1 Documentation technique disponible La documentation technique du syst\u00e8me OceanSITES se compose de trois parties Manuel de r\u00e9f\u00e9rence du format de donn\u00e9es OceanSITES Ce manuel. Guide des utilisateurs de donn\u00e9es OceanSITES Pour les utilisateurs de donn\u00e9es, anciennement appel\u00e9 Comment acc\u00e9der aux donn\u00e9es OceanSITES, ce document contient un aper\u00e7u de la structure du r\u00e9pertoire de donn\u00e9es du Centre mondial d'assemblage de donn\u00e9es (GDAC) et de l'acc\u00e8s ftp\/opendap, politique\/licence d'utilisation des donn\u00e9es, liste des sites, donn\u00e9es Centres d'assemblage (DAC), etc. Il doit \u00eatre utilis\u00e9 conjointement avec le Manuel de r\u00e9f\u00e9rence du format de donn\u00e9es. Guide des fournisseurs de donn\u00e9es OceanSITES Pour les producteurs de donn\u00e9es : les CED et les chercheurs principaux (CP), sur la base du document pr\u00e9c\u00e9dent Comment travailler avec le GDAC. Ce document contient des directives pour fournir des m\u00e9tadonn\u00e9es et des donn\u00e9es, un sch\u00e9ma de nommage de fichier et comment t\u00e9l\u00e9charger des donn\u00e9es sur le syst\u00e8me. Il doit \u00eatre utilis\u00e9 conjointement avec le Manuel de r\u00e9f\u00e9rence du format de donn\u00e9es. - , - Current - , - 14.a - , - N\/A - , - Mature - , - Standard Operating Procedure - , - Manual - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/874.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/874.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/874.2", "url": "https:\/\/hdl.handle.net\/11329\/874.2" }, "contributor": [ { "@type": "Organization", "name": "OceanSITES, JCOMMOPS" } ], "keywords": [ "OceanSITES", "NetCDF", "Endorsed practice", "Cross-discipline", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1669", "name": "Line.Sta Algorithms.", "description": " - Converting between geographic coordinates in latitude and longitude and the line and station sampling pattern of the California Cooperative Fisheries Investigations (CalCOFI) program is a commonly required task for conducting research on the California Current ecosystem. This note presents several corrections and clarifications to the previously published algorithms for performing these conversions. We include computer code to implement the algorithms in Java\u21221, Perl, Python, and R. We note that freely available code to conduct the conversions in Fortran, Matlab\u00ae2, JavaScript\u2122, and Visual Basic\u00ae6 has previously been published, and an online conversion tool is also available. A future version of the PROJ.4 cartographic projections library will also include support for CalCOFI conversions, thereby allowing for convenient conversions using the GRASS GIS, PostGIS, Python, Perl, R, and many other programs and programming languages - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1669", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1669", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1669", "url": "https:\/\/hdl.handle.net\/11329\/1669" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Perl", "Java", "Python", "R", "MatLab", "Cross-discipline", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/521", "name": "Atmospheric Correction for Remotely-Sensed Ocean-Colour.", "description": " - Atmospheric correction is a key procedure in remote sensing of ocean colour. This report provides an overview of the various atmospheric correction algorithms used for global ocean-colour data processing, and quantifies the performance of operational atmospheric correction algorithms for SeaWiFS, MODIS-Aqua, MERIS, OCTS, GLI and POLDER. The performance of the various algorithms is compared using common simulated data sets, mainly for open ocean (Case-1) waters and for non- or weakly-absorbing aerosols. Examples from coastal Case-2 waters (sediment-dominated and yellow-substance dominated waters) and from strongly-absorbing aerosols are also provided and discussed. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: David Antoine, Pierre-Yves Deschamps, Robert Frouin, Hajime Fukushima, Howard R. Gordon Andr\u00e9 Morel, Jean-Marc Nicolas, Menghua Wang. - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/521", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/521", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/521", "url": "https:\/\/hdl.handle.net\/11329\/521" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::ocean colour radiometers", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2306", "name": "Australian Wave Buoy Operations and Data Management Guidelines.", "description": " - This is a reference and guidance document for existing and prospective wave buoy operators and wave buoy data users in Australia. The document outlines wave buoy instruments most commonly in use and the wave data types and formats typically generated. Guidance is provided for Wave Buoy Deployment (Quality Assurance) and Wave Buoy Data Management (Quality Control) procedures and processes. - , - Australian Research Data Commons - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea state - , - Mature - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2306", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2306", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2306", "url": "https:\/\/hdl.handle.net\/11329\/2306" }, "author": [ { "@type": "Person", "name": "Hansen, Jeff" }, { "@type": "Person", "name": "Kinsela, Mike" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Water column temperature and salinity", "Waves", "water temperature sensor", "wave recorders", "Data quality control", "Data acquisition", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2616", "name": "A strategy forward document describing the way forward towards an integrated EU Research Infrastructure. MINKE Deliverable D1.3.", "description": " - This document is the deliverable D1.3 \u201cA strategy forward document describing the way forward towards an integrated EU Research Infrastructure\u201d. It first establishes the ins and outs of marine data and information quality and presents how the establishment of an extended marine metrology infrastructure would contribute to overcoming the observed limitations. MINKE proposes to leverage the standing situation by pooling and offering a full expertise in measurement and metrology. The initial key elements for the establishment of such an infrastructure, such as its values, missions, and vision, are shared. Finally, the first steps in building the business plan are presented with the metrology activities that can be provided. - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - Methodological commentary\/perspect - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2616", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2616", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2616", "url": "https:\/\/hdl.handle.net\/11329\/2616" }, "author": [ { "@type": "Person", "name": "Van Ganse, Sophie" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Seitz, Steffen" }, { "@type": "Person", "name": "Nair, Rajesh" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Christodoulaki, S" }, { "@type": "Person", "name": "Hartman, Susan" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" }, { "@type": "Person", "name": "King, Andrew" }, { "@type": "Person", "name": "Salvo, Vanessa-Sarah" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Piera, Jaume" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1636", "name": "Choosing best practices for managing impacts of trawl fishing on seabed habitats and biota.", "description": " - Bottom trawling accounts for almost one quarter of global fish landings but may also have significant and unwanted impacts on seabed habitats and biota. Management measures and voluntary industry actions can reduce these impacts, helping to meet sustainability objectives for fisheries, conservation and environmental management. These include changes in gear design and operation of trawls, spatial controls, impact quotas and effort controls. We review nine different measures and actions and use published studies and a simple conceptual model to evaluate and compare their performance. The risks and benefits of these management measures depend on the extent to which the fishery is already achieving management objectives for target stocks and the characteristics of the management system that is already in place. We offer guidance on identifying best practices for trawl-fisheries management and show that best practices and their likelihood of reducing trawling impacts depend on local, national and regional management objectives and priorities, societal values and resources for implementation. There is no universal best practice, and multiple management measures and industry actions are required to meet sustainability objectives and improve trade-offs between food production and environmental protection. - , - 14.4 - , - Fish abundance and distribution - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1636", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1636", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1636", "url": "https:\/\/hdl.handle.net\/11329\/1636" }, "author": [ { "@type": "Person", "name": "McConnaughey, Robert A." }, { "@type": "Person", "name": "Hiddink, Jan G." }, { "@type": "Person", "name": "Jennings, Simon J." }, { "@type": "Person", "name": "Pitcher, C. Roland" }, { "@type": "Person", "name": "Kaiser, Michel J." }, { "@type": "Person", "name": "Suuronen, Petri" }, { "@type": "Person", "name": "Sciberras, Marija" }, { "@type": "Person", "name": "Rijnsdorp, Adriaan D." }, { "@type": "Person", "name": "Collie, Jeremy S." }, { "@type": "Person", "name": "Mazor, Tessa" }, { "@type": "Person", "name": "Amoroso, Ricardo O." }, { "@type": "Person", "name": "Parma, Ana M." }, { "@type": "Person", "name": "Hilborn, Ray" } ], "keywords": [ "Trawling effects", "Bottom trawls", "Benthos", "Dredging", "Ecosystem-based fishery management", "Impact-yield model", "Trade-offs", "Fisheries" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2571", "name": "Best Practice Manual for SMRU CTD Satellite Relay Data Loggers: Instrument Calibration, Near Real-Time and Delayed Mode Data QA\/QC. Version 1.0. [ENDORSED PRACTICE]", "description": " - This document is the IMOS Animal Tracking Facility\u2019s Best Practice manual for near real-time and delayed-mode processing of physical and behavioural observations collected using Sea Mammal Research Unit CTD Satellite Relay Data loggers (SMRU CTD-SRDL). The Animal Tracking Facility deploys SMRU CTD-SRDL\u2019s on southern elephant seals (Mirounga leonina) and Weddell seals (Leptonychotes weddellii) in the Southern Ocean and on olive ridley sea turtles (Lepidochelys olivacea) and flatback sea turtles (Natator depressus) in the Timor and Arafura Seas. The data transmitted by these instrumented animals contributes to the study of ocean structure and dynamics by supplying temperature and salinity observations within the upper ocean in high latitude, shallow coastal and tropical regions that are historically under-sampled by traditional observing platforms. This document describes the calibration methods used by the Animal Tracking Facility prior to instrument deployment and the quality analyses\/quality control (QA\/QC) methods for both near real-time and delayed-mode data. - , - Published - , - Refereed - , - Current - , - 14.a - , - Subsurface temperature - , - Sea surface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Ocean bottom pressure - , - Marine turtles, birds, mammals abundance and distribution - , - Mature - , - Multi-organisational - , - International - , - Marine turtles, and mammals distribution - , - Animal behaviour data - , - Valeport CTD sensor head - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2571", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2571", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2571", "url": "https:\/\/hdl.handle.net\/11329\/2571" }, "author": [ { "@type": "Person", "name": "Jonsen, Ian" }, { "@type": "Person", "name": "McMahon, Clive" }, { "@type": "Person", "name": "Harcourt, Rob" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Animal Tracking", "Sea Mammal Research Unit", "AniBOS", "Water column temperature and salinity", "Birds, mammals and reptiles", "CTD", "Data quality control", "Metadata management", "Data transmission\/networking", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/856", "name": "IOC criteria and guidelines on the transfer of marine technology.", "description": " - The criteria and guidelines aim at applying the provisions of Part XIV (Development and transfer of marine technology) of the United Nations Convention on the Law of the Sea (UNCLOS), providing a critical tool to promote capacity building in ocean and coastal related matters through international cooperation. For the purposes of these criteria and guidelines, marine technology refers to instruments, equipment, vessels, processes and methodologies required to produce and use knowledge to improve the study and understanding of the nature and resources of the ocean and coastal areas. - , - Published - , - Current - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/856", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/856", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/856", "url": "https:\/\/hdl.handle.net\/11329\/856" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1483", "name": "Practical Methods for Observing and Forecasting Ocean Waves by Means of Wave Spectra and Statistics. (Reprinted 1971)", "description": " - Wave research has made great strides during the past 10 years. The spectrum of ocean waves was first studied in Britain by G. E. R. Deacon, N. F. Barber, and F. Ursell. The study of wave spectra was continued in the United States by A. A. Klebba, G. Birkhoff, and many others. The irregularities and the statistical properties of waves were also being studied, and an attempt was being made to fit the various pieces together in a consistent and logical pattern. During 1949, the members of the staff of the Department of Meteorology and Oceanography at New York University began the study of ocean waves under a contract with the Beach Erosion Board. The problem was to determine the effects of waves on the beaches of the east coast of the Uneitd States. Wave refraction theory and wave spectrum theory were studied in connection with these co.tracs in order to find newer and better techniques for describing the waves. As this research progressed, the Office of Naval Research became interested and supported work on wave generation, wave spectra, and wave propagation in deep water. The results of the research conducted for the Beach Erosion Board anu tne 'mce of Naval Research provide the basis for this -manual on ocean waves. The work done in 1949 and 1950 for the Beach Erosion Board was particularly important in the preparation of this manual since it helped to formulate the problems to be solved and provided information on tile questions which really needed answers in the problem of wave forecasting. The Bibliography lists the papers which were studied and used in the preparation of this manual. In addition to the papers referenced explicitly in the text, reading the papers by Barber and Ursell (1948), Cox and Munk (1954), James (1954), Longuet-Higgins (1952), Neumann (especially BEB Tech. Memo. No. 43, 1954), Pierson and Marks (1954), St. Denis and Pierson (1954), Rice (1945), and Watters (1953) will provide the person interested in the theory with an understanding of the foundation on which this manual is based. The derivation of the average \"wave length\", L, is not given in any of the references listed above; however, it has appeared in the transactions of the American Geophysical Union kPicrson, 1954). This manual is the result of mary years of work by many people. It is as up-to-date and as correct as it is possible to make it. However, as in any science, newer and more up-to-date results are continuously being obtained. Also some baffling theoretical problems, especially those connected with the effects of viscosity, still need to be solved. Those who use this manual should therefore not hesitate to apply new knowledge gained, by experience and by trial and error to the procedures given. Many people gave suggestions, knowledge, and skill in the preparation of this manual. Help was asked of the Coast Guard, the Hydrographic Office, the Navy, the Beach Erosion Board, and the Weather Bureau, and it was freely given. We-would like to thank all concerned for their help and cooperation. Lt. Comdr. Donald R. Jones, USN served as the liaison officer between New York University and Project AROWA. The many conferences which w, have had with him have helped very much in the preparation of this manual. The Atlantic Weather Patrol under the supervision, at the New York Port, of Mr. Clurles Nelson took wave observations according to the methods described in Chapter IV and sent many sheets of wave data to us. These data were analyzed and studied in order to make it possible to write Chapter IV. The suggestions which Mr. Nelson, Mr. Quintman, and Mr, Kirkman gave us as to the difficulties encountered in making the observations helped to clarify the presentation given in Chapter IV. During the preparation of this manual, the Search aiid Rescue Section of the U. S. Coast Guard based in New York City was extremely helpful with comments and advice. We would like to thank Chief Aerographer's Mates Black, Boerner, and Bridenstine, all of *whose suggestions were used in the preparation of this manual. In the beginning days of the preparation of this manual, a visit was made to Elizabeth City, N. C., and Capt. D. B. MacDiarmid, USCG talked with us about the problem of landing seaplanes on the open ocean. He showed motion pictures of the tests which were made and described his experiences in this connection. He also gave us the two wave photographs which were used in Chapter T. His help and suggestions are greatly appreciated. The staf of the Division of Oceanography at thf Hydrographic Office has read this manual and tested the methods presented. Their comments on the original manuscript were used in revising it for final form. The suggestion that the synoptic wave chart procedure, which has been developed and studied at the Hydrographic Office, be incorporated as part of the practical procedures was made by the authors of this manual. The Hydrographic Office willingly gave permission for this method to be described herein. It shows great promise as a method of preparing wave forecaGts in a simple and straightforward manner. The Beach Erosion Board, in connection with other contracts at New York University, has kept us supplied with wave data. These data were used in checking the forecasting methods and in the preparation of Chapter I and Chapter VIII. Dr. M. S. Longuet-Higgins visited New York University in 1952 and discussed wave theory with us. Dr. Longuet-Higgins read the original manual and made suggestions as to clarifications in the text. These were used in the preparation of this revised version. Correspondence with Robin A. Wooding and N. F. Barber of New Zealand provided additional checks of theory and observation. Their interesting letters were greatly appreciated. Conversations with Mr. S. 0. Rice and Prof. J. W. Tukey of Bell Telephone Laboratories were also most helpful. The original forecasting manual was prepared in 1953 under a contract sponsored by Bureau of Aeronautics, Project AROWA (contract No. N189s-86743). Major changes made in Chapter I, Chapter JI, Chapter III, Chapter VII, and Chapter VIII were carried out in 1954 under a contract sponsored by the Office of Naval Research (Nonr-285 (03). - , - Published - , - Refereed - , - Superseded - , - 14.A - , - Sea state - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1483", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1483", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1483", "url": "https:\/\/hdl.handle.net\/11329\/1483" }, "author": [ { "@type": "Person", "name": "Pierson, Willard J." }, { "@type": "Person", "name": "Neuman, Gerhard" }, { "@type": "Person", "name": "James, Richard W." } ], "contributor": [ { "@type": "Organization", "name": "U.S. Naval Hydrographic Office" } ], "keywords": [ "Wave forecasting", "Wave spectra", "Wave length", "Wave amplitude", "Wave period", "Parameter Discipline::Physical oceanography::Waves", "Instrument Type Vocabulary::wave recorders" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2208", "name": "Modeling Functional Organic Chemistry in Arctic Rivers: An Idealized Siberian System.", "description": " - Rivers of the Arctic will become ever more important for the global climate, since they carry a majority of continental dissolved organic carbon flux into the rapidly changing polar ocean. Aqueous organics comprise a wide array of functional groups, several of which are likely to impact coastal and open water biophysical properties. Light attenuation, interfacial films, aerosol formation, gas release and momentum exchange can all be cited. We performed Lagrangian kinetic modeling for the evolution of riverine organic chemistry as the molecules in question make their way from the highlands to Arctic outlets. Classes as diverse as the proteins, sugars, lipids, re-condensates, humics, bio-tracers and small volatiles are all included. Our reduced framework constitutes an idealized northward flow driving a major hydrological discharge rate and primarily representing the Russian Lena. Mountainous, high solute and tundra sources are all simulated, and they meet up at several points between soil and delta process reactors. Turnover rates are parameterized beginning with extrapolated coastal values imposed along a limited tributary network, with connections between different terrestrial sub-ecologies. Temporal variation of our total dissolved matter most closely resembles the observations when we focus on the restricted removal and low initial carbon loads, suggesting relatively slow transformation along the water course. Thus, channel combinations and mixing must play a dominant role. Nevertheless, microbial and photochemical losses help determine the final concentrations for most species. Chemical evolution is distinct for the various functionalities, with special contributions from pre- and post-reactivity in soil and delta waters. Several functions are combined linearly to represent the collective chromophoric dissolved matter, characterized here by its absorption. Tributaries carry the signature of lignin phenols to segregate tundra versus taiga sources, and special attention is paid to the early then marine behaviors of low molecular weight volatiles. Heteropolycondensates comprise the largest percentage of reactive carbon in our simulations due to recombination\/accumulation, and they tend to be preeminent at the mouth. Outlet concentrations of individual structures such as amino acids and absorbers lie above threshold values for biophysical influence, on the monolayer and light attenuation. The extent of coastal spreading is examined through targeted regional box modeling, relying on salinity and color for calibration. In some cases, plumes reach the scale of peripheral arctic seas, and amplification is expected during upcoming decades. Conclusions are mapped from the Lena to other boreal discharges, and future research questions are outlined regarding the bonding type versus mass release as permafrost degrades. Dynamic aqueous organic coupling is recommended for polar system models, from headwaters to coastal diluent. - , - Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2208", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2208", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2208", "url": "https:\/\/hdl.handle.net\/11329\/2208" }, "author": [ { "@type": "Person", "name": "Jayasinghe, Amadini" }, { "@type": "Person", "name": "Elliot, Scott" }, { "@type": "Person", "name": "Piliouras, Anastasia" }, { "@type": "Person", "name": "Kinney, Jaclyn Clement" }, { "@type": "Person", "name": "Gibson, Georgina" }, { "@type": "Person", "name": "Jeffery, Nicole" }, { "@type": "Person", "name": "Hoffman, Forrest" }, { "@type": "Person", "name": "Kumar, Jitendra" }, { "@type": "Person", "name": "Wingenter, Oliver" } ], "keywords": [ "Aqueous organic chemistry", "Dissolved organic carbon", "Dissolved gases", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2042", "name": "A comparison of three methods for estimating call densities of migrating bowhead whales using passive acoustic monitoring.", "description": " - Various methods for estimating animal density from visual data, including distance sampling (DS) and spatially explicit capture-recapture (SECR), have recently been adapted for estimating call density using passive acoustic monitoring (PAM) data, e.g., recordings of animal calls. Here we summarize three methods available for passive acoustic density estimation: plot sampling, DS, and SECR. The first two require distances from the sensors to calling animals (which are obtained by triangulating calls matched among sensors), but SECR only requires matching (not localizing) calls among sensors. We compare via simulation what biases can arise when assumptions underlying these methods are violated. We use insights gleaned from the simulation to compare the performance of the methods when applied to a case study: bowhead whale call data collected from arrays of directional acoustic sensors at five sites in the Beaufort Sea during the fall migration 2007\u20132014. Call detections were manually extracted from the recordings by human observers simultaneously scanning spectrograms of recordings from a given site. The large discrepancies between estimates derived using SECR and the other two methods were likely caused primarily by the manual detection procedure leading to non-independent detections among sensors, while errors in estimated distances between detected calls and sensors also contributed to the observed patterns. Our study is among the first to provide a direct comparison of the three methods applied to PAM data and highlights the importance that all assumptions of an analysis method need to be met for correct inference. - , - \u00b7 - , - Refereed - , - 14.a - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2042", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2042", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2042", "url": "https:\/\/hdl.handle.net\/11329\/2042" }, "author": [ { "@type": "Person", "name": "Oedekoven, Cornelia" }, { "@type": "Person", "name": "Marques, Tiago A." }, { "@type": "Person", "name": "Harris, Danielle" }, { "@type": "Person", "name": "Thomas, Len" }, { "@type": "Person", "name": "Thode, Aaron M." }, { "@type": "Person", "name": "Blackwell, Susanna B." }, { "@type": "Person", "name": "Conrad, Alexander S." }, { "@type": "Person", "name": "Kim, Katherine H." } ], "keywords": [ "Animal calls", "Animal vocalization", "Distance sampling", "Spatially explicit capture-recapture", "Plot sampling", "Birds, mammals and reptiles", "Acoustics", "acoustic tracking systems", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1832", "name": "White paper on management and utilization of large whales in Greenland. [Presented at the 63rd Annual Meeting of the International Whaling Commission].", "description": " - Within the IWC context, Greenland\u2019s hunt of large whales falls in the category of Aboriginal Subsistence Whaling (ASW) together with the whaling of the Russian Federation, St. Vincent and The Grenadines and the USA. For aboriginal subsistence whaling the IWC has the following objectives: - ensure risks of extinction not seriously increased (highest priority); - enable harvests in perpetuity appropriate to cultural and nutritional requirements; - maintain stocks at highest net recruitment level and if below that ensure they move towards it. The Greenland hunt for large whales respects those objectives. - , - Published - , - Current - , - 14.2 - , - N\/A - , - Multi-organisational - , - National - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1832", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1832", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1832", "url": "https:\/\/hdl.handle.net\/11329\/1832" }, "contributor": [ { "@type": "Organization", "name": "Government of Greenland, Ministry of Fisheries, Hunting & Agriculture" } ], "keywords": [ "Whales", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/607", "name": "Tidal datums and their applications.", "description": " - The United Nations declared 1998 to be the International Year of the Ocean. This declaration provides an opportunity to rais e public awareness of a fundamental boundary defined by the intersection of the ocean with th e land. This intersection is not as simple as it may seem. It is determined by a plane called a tidal datum, and refers to an average height of the water level at particular phases of the tidal cycle. This vertical reference surface is derived from water level measurements record ed along coastlines, estuaries, and tidal rivers of the United States. Tidal datum planes, refe renced to a system of bench marks, are fundamental to the determination of the spatial coordinates of latitude, longitude, and elevation relative to mean sea level. Tidal datums are chiefly used to determine horizontal boundaries, and for estimating heights or depths. The legal determinations of private and public lands, state owned tide lands, state submerged lands, U.S. Navigable wa ters, U.S. Territorial Sea, Contiguous Zone, and Exclusive Economic Zone, and the High Seas, or international waters, depend on the determination of tidal datums and their survey ed intersection with the coast. Navigation in U.S. Harbors, shipping channels, and intraco astal waterways requires an accurate knowledge of the depth of the ocean and submerged hazards at the low-water phase of the tidal cycle. Passage underneath bridges requires knowledge of the clearance at the high water phase of the tide. In addition, coastal construction and engineering requires knowledge of the tidal cycle; significant wave heights, periods, and directions; the heights of storm surges, or tsunami waves; and, the frequency and horizont al extent of flooding in the coastal zone. Organizing these environmental data into mean ingful, decision-making contexts requires the establishment of tidal datums, and their reference to the geodetic control network. Other countries publish tidal datums that ma y differ significantly from those of the U.S. In fact, there are hundreds of local datums used throughout the world. This has led to efforts to define a global vertical datum. The ellipso id serves as a suitable candidate because of its horizontal and vertical accuracy, its relative ease of calculation, and its global accessibility via GPS. A set of vertical transformation f unctions are required to translate the vertical coordinate provided by GPS into a coordinate referenced to a tidal datum plane. Preliminary research suggests promising results in the c onstruction of a seamless vertical reference system. This document has been prepared by NOAA\u2019 s Center for Operational Oceanographic Products and Services Division to provide background information about tidal datum planes. The chapters present overviews of the histor y of tidal datums in the U.S., domestic and international legal regimes, water level measurement system and bench marks, derived products available from NOAA, and examples of the practical and legal applications of tidal datums. - , - Published - , - Contributors: Wolfgang Scherer, William M. Stoney, Thomas N. Mero, Michael O\u2019Hargan, William Michael Gibson, James R. H ubbard, Michael I. Weiss, Ole Varmer, Brenda Via, Daphne M. Frilot, Kristen A. Tronvig. - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/607", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/607", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/607", "url": "https:\/\/hdl.handle.net\/11329\/607" }, "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Parameter Discipline::Physical oceanography::Sea level" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1196", "name": "Benthic Terrain Modeler (BTM) 3.0, tools for understanding and classifying the benthic environment. [Sofware]", "description": " - A full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through sample analyses. Please note: the tutorial, which includes sample data applies only to the individual ArcPy scripts located in the BTM Toolbox and not to the BTM Add-In. BTM was initially a partnership between the NOAA Coastal Services Center and the Davey Jones' Locker Seafloor Mapping\/Marine GIS Lab Oregon State University. The current version of BTM is a collaboration between NOAA CSC and ESRI, with thanks also to the the Massachusetts Office of Coastal Zone Management, Cal State University Monterey Bay, the UC-Santa Cruz Institute of Marine Sciences & NOAA Fisheries Ecology Division. Source and Issues: BTM is on GitHub! Get the latest code, send us pull requests, and see our current issues at http:\/\/github.com\/EsriOceans\/btm. Full published description : Geosciences 8: 94, 24pp. DOI:10.3390\/geosciences8030094. Benthic Terrain Modeler, a collection of tools for understanding and classifying the benthic environment. In particular ocean and coastal scientists and resource managers can use in concert with bathymetric data to classify and understand the benthic environment. BTM was initially developed as a desktop extension for ArcGIS versions 8.x through 9.2SP3. The most recent release (3.0) of BTM for ArcGIS 10.1+ is comprised of a series of ArcPy scripts combined in a custom toolbox that allows the user to run the individual processes as separate functions. The BTM toolbox contains a set of tools that allow users to create grids of bathymetric position index (BPI), standardized BPI\u2019s, slope, and terrain ruggedness from an input bathymetric data set. Additionally, two terrain classification tools give users the freedom to create their own zone and structure classifications and define the relationships that characterize them. New users of BTM will want to take advantage of the simple graphical user interface that wraps around all BTM tools, recreating the full \"wizard\" experience that was available in the previous releases. - , - Original funding: Spatial Technology Development and Educational Modules for the Fagatele Bay National Marine Sanctuary, NOAA Coastal Services Center Integration & Development Initiative, Grant #NA03NOS4730014 P.I.: Dawn Wright (OSU Geosciences), 03\/03 to 03\/06 (w\/ no cost extension), $64,917 (Mar 2003) Benthic Habitat Characterization for Coastal Management and Marine Protected Areas: American Samoa, NOAA Coastal Services Center Outreach--Special Projects for the Pacific Islands Initiative, Grant #NA03NOS4730033 P.I.: Dawn Wright (OSU Geosciences), 04\/01\/03 to 03\/31\/05, $49,384 (Feb 2003) - , - A full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through sample analyses. Please note: the tutorial, which includes sample data applies only to the individual ArcPy scripts located in the BTM Toolbox and not to the BTM Add-In. BTM was initially a partnership between the NOAA Coastal Services Center and the Davey Jones' Locker Seafloor Mapping\/Marine GIS Lab Oregon State University. The current version of BTM is a collaboration between NOAA CSC and ESRI, with thanks also to the the Massachusetts Office of Coastal Zone Management, Cal State University Monterey Bay, the UC-Santa Cruz Institute of Marine Sciences & NOAA Fisheries Ecology Division. Source and Issues: BTM is on GitHub! Get the latest code, send us pull requests, and see our current issues at http:\/\/github.com\/EsriOceans\/btm. - , - Refereed - , - 14.a - , - Hard Coral Cover and Composition - , - Fish Abundance and Distribution - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1196", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1196", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1196", "url": "https:\/\/hdl.handle.net\/11329\/1196" }, "author": [ { "@type": "Person", "name": "Walbridge, Shaun" }, { "@type": "Person", "name": "Slocum, Noah" }, { "@type": "Person", "name": "Pobuda, Marjean" }, { "@type": "Person", "name": "Wright, Dawn J." } ], "contributor": [ { "@type": "Organization", "name": "Esri" } ], "keywords": [ "GEOHAB", "Benthic habitat mapping", "Parameter Discipline::Marine geology", "Parameter Discipline::Marine geology::Sonar and seismics", "Parameter Discipline::Marine geology::Rock and sediment physical properties", "Parameter Discipline::Marine geology::Rock and sediment biota", "Parameter Discipline::Marine geology::Field geophysics", "Parameter Discipline::Marine geology::Underwater photography", "Parameter Discipline::Fisheries and aquaculture::Habitat", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::bathymetric LiDARs", "Instrument Type Vocabulary::multi-beam echosounders", "Instrument Type Vocabulary::sidescan sonars", "Instrument Type Vocabulary::sound velocity sensors", "Data Management Practices::Data analysis", "Data Management Practices::Data visualization", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1900", "name": "JOMOPANS standard: Terminology for ambient ocean noise monitoring.", "description": " - The aim of this project is to develop a framework for a fully operational joint monitoring programme for ambient noise in the North Sea. Output will be the tools necessary for managers, planners and other stakeholders to incorporate the effects of ambient noise in their assessment of the environmental status of the North Sea, and to evaluate measures to improve the environment. Sounds are omnipresent in the underwater environment and can be produced by natural (waves, weather, animals) and anthropogenic (shipping, construction) sources. International concern increasingly focusses on the potential negative effects of anthropogenic underwater noise on sensitive marine fauna. Sound sources, sound transmission, and the distributions of vulnerable species in the North Sea are all transnational questions which must be tackled transnationally, as specifically required by the Marine Strategy Framework Directive. The project will deliver an innovative combination of modelling and high quality measurements at sea for an operational joint monitoring programme for ambient noise in the North Sea. The use of consistent measurement standards and interpretation tools will enable marine managers, planners and other stakeholders internationally to identify, for the first time, where noise may adversely affect the North Sea. Next, we will explore the effectiveness of various options for reducing these environmental impacts through coordinated management measures across the North Sea basin. This report is a Deliverable 3.1 of Work Package 3 of project JOMOPANS. The aim of WP3 is to develop underwater noise monitoring standards suitable for monitoring MSFD Indicator 11.2.1 in the North Sea Region as part of \u201cJOMOPANS\u201d joint monitoring project - , - European Union; INTERREG - , - Published - , - Current - , - 14.a - , - Ocean sound - , - Organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1900", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1900", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1900", "url": "https:\/\/hdl.handle.net\/11329\/1900" }, "author": [ { "@type": "Person", "name": "Wang, L." }, { "@type": "Person", "name": "Robinson, S." } ], "contributor": [ { "@type": "Organization", "name": "Joint Monitoring Programme for Ambient Noise North Sea (JOMOPANS)" } ], "keywords": [ "Underwater accoustics", "Underwater sound", "Ambient noise", "INTERREG", "Acoustics", "Ontology development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/375", "name": "A Manual For Acquiring Lowered Doppler Current Profiler Data", "description": " - This manual describes \u201cbest practices\u201d for acquiring ocean-velocity data using Lowered Acoustic Doppler Current Profiler (LADCP) systems. Adherence to the recommendations in this manual should help ensure that the acquired data can be processed to derive full-depth absolute velocity profiles of high quality. Processing LADCP data, which is not covered in this manual, is not a trivial task and there are several publicly available software packages available for this purpose. Care has been taken to ensure that the guidelines in this manual are independent of the processing software. In principle, any ADCP instrument with sufficient depth rating can be lowered on a wire to obtain LADCP data. As the data quality depends significantly on the instrument setup, some of the recommendations in this guide are necessarily instrument dependent. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/375", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/375", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/375", "url": "https:\/\/hdl.handle.net\/11329\/375" }, "author": [ { "@type": "Person", "name": "Thurnherr, A.M" }, { "@type": "Person", "name": "Visbeck, M" }, { "@type": "Person", "name": "Firing, E" }, { "@type": "Person", "name": "King, B.A" }, { "@type": "Person", "name": "Hummon, J.M" }, { "@type": "Person", "name": "Krahmann, G" }, { "@type": "Person", "name": "Huber, B" } ], "keywords": [ "LADCP", "GO-SHIP", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::lowered current profilers", "Instrument Type Vocabulary::current profilers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1040", "name": "INTERACT Fieldwork Planning Handbook.", "description": " - The INTERACT Fieldwork Planning Handbook has been produced within the framework of the EU Horizon 2020 infrastructure project INTERACT. It aims to ensure that you are well prepared for fieldwork at INTERACT stations and elsewhere in the Arctic and Alpine regions, providing an overview of all important aspects related to planning such fieldwork. The book has been jointly developed by early career scientists and research station managers, combining knowledge from two different perspectives: those just starting out on their careers and those with years\u2019 worth of experience. While the main target audience of this book is early career researchers, we hope it will also be useful to anyone else involved in planning, coordinating and taking part in fieldwork at INTERACT stations and more broadly in the Arctic and Alpine regions. The Fieldwork Planning Handbook is divided into five chapters outlining how to plan and prepare for your fieldwork, through to what you need to think about when you are in the field, and continuing all the way to what you need to think of when you have returned safely back home. Each chapter first provides a brief overview of the theme covered, and then moves on to a more detailed description of various aspects related to that topic. In addition, external contacts and online resources are compiled at the end of each chapter - , - Published - , - Contributors: Lead-authors: Fiona Tummon ; Andrea Schneider; Co-authors: Julie Bull; Gwena\u00eblle Gremion; Gabriela Roldan; Morgan Seag ; Ruth Vingerhagen Hindshaw ; - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1040", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1040", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1040", "url": "https:\/\/hdl.handle.net\/11329\/1040" }, "contributor": [ { "@type": "Organization", "name": "Aarhus University, DCE \u2013 Danish Centre for Environment and Energy" } ], "keywords": [ "International Network for Terrestrial Research and Monitoring in the Arctic (INTERACT)", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/615", "name": "Marine Scotland - Science Laboratory Manual, Standard Operating Procedure: Salinities. Version 1, 16 Feb 2009.", "description": " - This Procedure document details all procedures regarding salinities within Marine Scotland \u2013 Science: Water samples received are analysed by operation of a Guildline Portasal Salinometer Model 8410A. The salinometer is designed to make precision conductivity comparisons between an unknown water sample and a reference sample. The results can be displayed as either Conductivity Ratio or Practical Salinity Units. Marine Scotland records PSU. - , - Published - , - Non Refereed - , - Current - , - 14.A - , - Sea surface salinity - , - Subsurface salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/615", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/615", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/615", "url": "https:\/\/hdl.handle.net\/11329\/615" }, "author": [ { "@type": "Person", "name": "Geldart, Matt" } ], "contributor": [ { "@type": "Organization", "name": "Marine Scotland - Science" } ], "keywords": [ "Salinity measurement", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::salinometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/771", "name": "Real-Time Quality Control Tests for In Situ Ocean Surface Waves: Recommended by the Quality Assurance of Real-Time Oceanographic Data (QARTOD) Workshops and The Waves Technical Workshop. Version 1.0. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/291]", "description": " - This document provides a series of quality control tests developed by the QARTOD workshops and the Waves Technical Workshop and recommended for use by wave data providers. Participants included representatives from government, industry, and academia involved with providing or using wave measurements. The purpose is to define a minimum standard for the quality control of real-time, in situ wave measurements in order to facilitate the exchange of data. This standard would apply to the Time Series Structured Data Class as the original time series data collection and any transformation from the time domain to the frequency domain. The standard is also relevant to Point Data as the wave time series and spectral records are processed into discrete point data of the bulk parameters (e.g., height, period). Because the guidelines are derived from existing practices and presently used in the operational environments of NOAA\u2019s National Data Buoy Center (NDBC) and the Coastal Data Information Program (CDIP), the guidelines should be considered operational. Implementation of the eventual real-time in situ quality control procedures would help Regional Associations meet the Ocean.US DMAC requirement for wave data that \u201c\u2026 are quality controlled and managed in compliance with Ocean.US DMAC standards and protocols.\u201d (Ocean.US, 2006) - , - Unpublished - , - Superseded - , - Sea state - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/771", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/771", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/771", "url": "https:\/\/hdl.handle.net\/11329\/771" }, "contributor": [ { "@type": "Organization", "name": "NOAA\/National Data Buoy Center" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::wave recorders", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2388", "name": "Australian Sub-bottom Profiling Guidelines: AusSeabed Community Guidelines. [ENDORSED PRACTICE]", "description": " - The Australian Sub-bottom Profiling (SBP) Guidelines are intended to establish a standardised approach to the acquisition of SBP data in an Australian context. Developed by the AusSeabed community, the aim is to provide data acquirers and contributors with a guide to standardise quality and consistency in the collection and description of data, that will enable rapid publication and open access use of datasets by a range of end-users. The guidelines also include specific requirements for data and metadata formats for submission of SBP data to the AusSeabed program. The Sub-bottom Profiling Guidelines complement a suite of Ocean Best Practice field manuals and guidelines developed with the AusSeabed community which include the Australian Multibeam Guidelines and the Australian Satellite Derived Bathymetry Guidelines. - , - AusSeabed Program; Geoscience Australia - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2388", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2388", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2388", "url": "https:\/\/hdl.handle.net\/11329\/2388" }, "author": [ { "@type": "Person", "name": "McNeil, Mardi" }, { "@type": "Person", "name": "Bergersen, Douglas" }, { "@type": "Person", "name": "Johnstone, Elizabeth" }, { "@type": "Person", "name": "Vandenbossche, Philippe" }, { "@type": "Person", "name": "Yule, Christopher" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia" } ], "keywords": [ "Marine geology", "Environment", ">2000 Hz top-bandwidth sub-bottom penetrator and mud profiler systems", "Data acquisition", "Data delivery", "Data quality management", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2221", "name": "Guidelines on aquaculture restocking and stock enhancement.", "description": " - Aquaculture practices in the Mediterranean and Black Sea extend beyond food production into activities carried out for restocking and stock enhancement purposes. Acknowledging the diverse role of aquaculture in the region, the General Fisheries Commission for the Mediterranean (GFCM) of the Food and Agriculture Organization of the United Nations (FAO) organized several activities to highlight the role of the aquaculture sector in marine fish restocking and stock enhancement, as well as the potential impacts of restocking on the environment, wild stocks and capture fisheries, stressing the need to follow responsible and precautionary approaches. In this context, the GFCM developed guidelines on aquaculture restocking and stock enhancement together with regional experts and adopted them in 2021. The main purpose of these guidelines is to support Mediterranean and Black Sea countries in restocking and stock enhancement while preventing harm to biodiversity, natural habitats, ecosystems and related ecosystem services, based on good practices and the best available knowledge. Following an introduction on the background and scope of the guidelines, this document highlights that national aquaculture regulatory frameworks should include provisions regulating aquaculture restocking and stock enhancement, identifies the general principles for stock enhancement that should be followed and provides guidance on broodstock management, reproduction, the release of juveniles and potential management programmes. - , - Published - , - Refereed - , - Current - , - 2.4 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2221", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2221", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2221", "url": "https:\/\/hdl.handle.net\/11329\/2221" }, "contributor": [ { "@type": "Organization", "name": "General Fisheries Commission for the Mediterranean" } ], "keywords": [ "Stock assessment", "Restocking", "Breeding stock", "Rearing techniques", "Reproduction", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/380", "name": "Determination of Dissolved Oxygen in Seawater by Winkler Titration Using The Amperometric Technique.", "description": " - This paper describes procedures to be used for the determination of dissolved oxygen in discrete samples of seawater. These procedures are based on the modified Winkler titration method (Carpenter 1965). These modifications reduced the loss of I2 during the titration due to volatilization by optimizing the concentrations of the \u201cpickling\u201d reagents to encourage the formation of the more stable triiodide complex I3- and by adopting the whole-bottle titration method which eliminates the loss of I 2 during transfer of sample aliquots. This procedure is suitable for the measurement of the full range of oceanic oxygen c oncentrations (0-400 \u03bcmol kg -1 ) in uncontaminated seawater. The typical precision that can be achi eved using automated amperometric endpoint detection systems is \u00b10.15 \u03bcmol kg -1 . Carpenter (1965) established the accuracy of the method as <0.1% or \u00b10.3 \u03bcmol kg -1 . This procedure is unsuitable for seaw ater containing hydrogen sulfide (H 2 S). In oxygen- deficient regions (<5 \u03bcmol kg -1 ) a high concentration of nitrite (NO 2 - ) may cause a positive oxygen bias. Polluted waters may contain reducing sub stances that will react with the liberated I 2 resulting in a negative oxygen bias - , - Published - , - Refereed - , - Current - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/380", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/380", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/380", "url": "https:\/\/hdl.handle.net\/11329\/380" }, "author": [ { "@type": "Person", "name": "Langdon, C" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1066.2", "name": "Procedures for Proposing and Evaluating IODE Projects and Activities (2nd Revised edition).", "description": " - At its 24th session (2017) the IODE Committee approved the Report of the Inter-sessional Working Group to Propose a Re-structuring of IODE which recommended revising the current structure, projects and activities of IODE and decided that the relation between projects (e.g. data flow) should be better communicated within the IODE community but also to the user communities. The Committee agreed that both existing and new IODE projects and activities will benefit from a more effective tracking and oversight process to help ensure that they meet IODE strategic goals and objectives. The Committee adopted Decision IODE-XXIV.3 IODE (Project and Activity Performance Evaluation). These procedures apply to both existing and new projects and activities. This revised edition includes changes requested by the IODE Management Group to address the following issues: (i) all projects should develop work plans that have clear performance indicators and measurable deliverables, and (ii) the project reporting template should align with the work plan and which would allow for more straightforward evaluation by the IODE Management Group. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Manual - , - Guide - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1066.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1066.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1066.2", "url": "https:\/\/hdl.handle.net\/11329\/1066.2" }, "author": [ { "@type": "Person", "name": "Reed, Greg" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Administration and dimensions", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/951", "name": "Proposal for gathering and managing data sets on marine micro-litter on a European scale. [Updated version: 19\/04\/2019] [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-495]", "description": " - As part of the 3rd phase of EMODnet Chemistry the scope of attention has been expanded with gathering data and developing access to data and data products for Marine Litter. This document gives background information about EMODnet, its synergy with SeaDataNet and achievements of EMODnet Chemistry so far. Thereafter it gives the scope of the EMODnet Chemistry 3 project and in particular a proposal for gathering and managing data sets on micro-litter by EMODnet Chemistry partners on a European scale. The Technical Subgroup on Marine Litter (TSG ML) reviewed the proposal and provided feedback for refinement that were followed to update the present document. - , - Published - , - Superseded (by http:\/\/dx.doi.org\/10.25607\/OBP-495) - , - TRL 1 Basic principles observed and reported - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/951", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/951", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/951", "url": "https:\/\/hdl.handle.net\/11329\/951" }, "author": [ { "@type": "Person", "name": "Galgani, Francois" }, { "@type": "Person", "name": "Giorgetti, Alessandra" }, { "@type": "Person", "name": "Vinci, Matteo" }, { "@type": "Person", "name": "Le Moigne, Morgan" }, { "@type": "Person", "name": "Moncoiffe, Gwenaelle" }, { "@type": "Person", "name": "Brosich, Alberto" }, { "@type": "Person", "name": "Molina, Eugenia" }, { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Holdsworth, Neil" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Hanke, Georg" }, { "@type": "Person", "name": "Schaap, Dick" }, { "@type": "Person", "name": "Addamo, Anna" } ], "contributor": [ { "@type": "Organization", "name": "EMODnet" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1651", "name": "Meeting Regional, Coastal and Ocean User Needs With Tailored Data Products: A Stakeholder-Driven Process.", "description": " - New coastal and ocean observing stations and instruments deployed across the globe are providing increasing amounts of meteorological, biological, and oceanographic data. While these developments are essential for the development of various data products to inform decision-making among coastal communities, more data does not automatically translate into more benefits to society. Rather, decision-makers and other potential end-users must be included in an ongoing stakeholder-driven process to determine what information to collect and how to best streamline access to information. We present a three-step approach to develop effective tailored data products: (1) tailor stakeholder engagement to identify specific user needs; (2) design and refine data products to meet specific requirements and styles of interaction; and (3) iterate engagement with users to ensure data products remain relevant. Any of the three steps could be implemented alone or with more emphasis than others, but in order to successfully address stakeholders\u2019 needs, they should be viewed as a continuum\u2014as steps in a process to arrive at effective translation of coastal and ocean data to those who need it. Examples from the Regional Associations of the U.S. Integrated Ocean Observing System (IOOSR ), the Texas General Land Office, and the Vanuatu Meteorology and Geo-hazards Department (VMGD) are woven throughout the discussion. These vignettes illustrate the value of this stakeholder-driven approach and provide a sample of the breadth of flexibility and customizability it affords. We hope this community white paper inspires others to evaluate how they connect their stakeholders to coastal and ocean observing data and provides managers of observing systems with a guide on how to evolve in a manner that addresses societal needs. - , - Refereed - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1651", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1651", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1651", "url": "https:\/\/hdl.handle.net\/11329\/1651" }, "author": [ { "@type": "Person", "name": "Iwamoto, Melissa M." }, { "@type": "Person", "name": "Dorton, Jennifer" }, { "@type": "Person", "name": "Newton, Jan" }, { "@type": "Person", "name": "Yerta, Moirah" }, { "@type": "Person", "name": "Gibeaut, James" }, { "@type": "Person", "name": "Shyka, Tom" }, { "@type": "Person", "name": "Kirkpatrick, Barbara" }, { "@type": "Person", "name": "Currier, Robert" } ], "keywords": [ "Stakeholders", "Stakeholder engagement", "Data products", "Product development", "Ocean observations", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1640", "name": "Single-Turnover Variable Chlorophyll Fluorescence as a Tool for Assessing Phytoplankton Photosynthesis and Primary Productivity: Opportunities, Caveats and Recommendations.", "description": " - Phytoplankton photosynthetic physiology can be investigated through single-turnover variable chlorophyll fluorescence (ST-ChlF) approaches, which carry unique potential to autonomously collect data at high spatial and temporal resolution. Over the past decades, significant progress has been made in the development and application of ST-ChlF methods in aquatic ecosystems, and in the interpretation of the resulting observations. At the same time, however, an increasing number of sensor types, sampling protocols, and data processing algorithms have created confusion and uncertainty among potential users, with a growing divergence of practice among different research groups. In this review, we assist the existing and upcoming user community by providing an overview of current approaches and consensus recommendations for the use of ST-ChlF measurements to examine insitu phytoplankton productivity and photo-physiology. We argue that a consistency of practice and adherence to basic operational and quality control standards is critical to ensuring data inter-comparability. Large datasets of inter-comparable and globally coherent ST-ChlF observations hold the potential to reveal large-scale patterns and trends in phytoplankton photo-physiology, photosynthetic rates and bottom-up controls on primary productivity. As such, they hold great potential to provide invaluable physiological observations on the scales relevant for the development and validation of ecosystem models and remote sensing algorithms. - , - The material presented here y Schuback et al. (2021), providing hands on guidance for both experts and new users alike has been expanded by : Tortell, P. D., Schuback, N. and Suggett, D.J. (eds) (2023) Application of Single Turnover Active Chlorophyll Fluorescence for Phytoplankton Productivity Measurements. Version 2.0, June, 26, 2023. Vancouver, Canada, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences for SCOR Working Group 156, 160pp. DOI: http:\/\/dx.doi.org\/10.25607\/OBP-1914 - , - Refereed - , - 14.a - , - Phytoplankton biomass and diversity - , - 2021-07-14 - , - Multi-organisational - , - Primary productivity - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1640", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1640", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1640", "url": "https:\/\/hdl.handle.net\/11329\/1640" }, "author": [ { "@type": "Person", "name": "Schuback, Nina" }, { "@type": "Person", "name": "Tortell, Philippe D." }, { "@type": "Person", "name": "Berman-Frank, Ilana" }, { "@type": "Person", "name": "Campbell, Douglas A." }, { "@type": "Person", "name": "Ciotti, Aurea" }, { "@type": "Person", "name": "Courtecuisse, Emilie" }, { "@type": "Person", "name": "Erickson, Zachary K." }, { "@type": "Person", "name": "Fujiki, Tetsuichi" }, { "@type": "Person", "name": "Halsey, Kimberly" }, { "@type": "Person", "name": "Hickman, Anna E." }, { "@type": "Person", "name": "Huot, Yannick" }, { "@type": "Person", "name": "Gorbunov, Maxime Y." }, { "@type": "Person", "name": "Hughes, David J." }, { "@type": "Person", "name": "Kolber, Zbigniew S." }, { "@type": "Person", "name": "Moore, C. Mark" }, { "@type": "Person", "name": "Oxborough, Kevin" }, { "@type": "Person", "name": "Pr\u00e1\u0161il, Ond\u02c7rej" }, { "@type": "Person", "name": "Robinson, Charlotte M." }, { "@type": "Person", "name": "Ryan-Keogh, Thomas J." }, { "@type": "Person", "name": "Silsbe, Greg" }, { "@type": "Person", "name": "Simis, Stefan" }, { "@type": "Person", "name": "Suggett, David J." }, { "@type": "Person", "name": "Thomalla, Sandy" }, { "@type": "Person", "name": "Varkey, Deepa R." } ], "keywords": [ "Variable chlorophyll fluorescence", "Phytoplankton", "Photo-physiology", "Photosynthesis", "Primary productivity", "Data synthesis", "FRRF", "Phytoplankton", "fluorometers", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/403", "name": "Electronic Chart Systems Ice Objects Catalogue Version 5.2, 2014 edition", "description": " - Electronic Navigation Charts (ENC) and Electronic Chart Display and Information Systems (ECDIS) are becoming widely available on ships navigating in icy waters and it is necessary to provide ice data in a form that can be used in these systems. The International Hydrographic Organization (IHO) established an on-line \u201cregistry\u201d of ENC chart features. This registry contains several thematic \u201cregisters\u201d, one of which is for ice objects. The information in the register derives directly from the ENC Ice Objects Catalogue. The Catlogue describes the ice objects and attributes equivalent to codes of SIGRID-3 transport format for the ice charts and defines what ice information can be used in IHO S-57 and S-411 formats - , - Published - , - Header on the document is ENC Ice Objects Catalogue Version 5.3. Not labelled JCOMM-TR-080, SPA_ETSI_ENC_01, but in the JCOMM TR list - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/403", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/403", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/403", "url": "https:\/\/hdl.handle.net\/11329\/403" }, "author": [ { "@type": "Person", "name": "Falkingham, John" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM Expert Team on Sea Ice (ETSI)" } ], "keywords": [ "Sea ice", "Ice attributes", "ENC Ice Objects Catalogue", "Parameter Discipline::Cryosphere::Cryosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1884", "name": "Best Practice Guide for Underwater Particle Motion Measurement for Biological Applications.", "description": " - The problem: All sound comprises fluctuations in pressure and particle motion (PM) and all fishes and many aquatic invertebrates detect PM. Noise is unwanted or harmful sound, and underwater anthropogenic noise is a global pollutant. Therefore, a large proportion of marine life is potentially threatened by PM created by anthropogenic activity. There is building evidence that anthropogenic noise is detrimental to the health and survival of fishes and aquatic invertebrates, but the importance of PM to these effects remains unclear because until recently very few PM measurements have been taken, with studies mainly relying on sound pressure measurements to estimate PM exposure levels. In theory, PM cannot be predicted effectively from sound pressure in certain physical conditions. These physical conditions tend to be near the surface and the bottom, or in shallow water such as near shore, in lakes and rivers etc., where most aquatic life is found. Thus, there is a need to measure PM to establish the levels at which aquatic life can detect sound, levels at which adverse effects from anthropogenic activity occur, and to establish the boundaries for the physical conditions where sound pressure can or cannot be used to predict PM. PM sensors are becoming commercially available, while some scientists are also making their own, leading to an increase in the number of scientists taking PM measurements around the world. There is a need for guidance that helps scientists to understand what PM is and when it needs to be measured, how to select and calibrate instruments for such measurements, how to properly take measurements and then how to process and report the data for consistency and comparability between studies. ----- Our solution: Our solution is this \u2018Best Practice Guide\u2019, with the following providing an outline of our key findings on best practice for PM measurement for biological applications. A frequently posed question is: \u2018Do I need to measure PM?\u2019 In order to fully answer this, the expertise of a biologist is required to determine whether PM is biologically relevant, and the expertise of an acoustician is required to determine whether PM could be calculated from pressure measurements. This best practice guide introduces the biological applications of PM measurements in Chapter 1, the scope of the guide in Chapter 2 and some of the basic physical principles of PM in relation to sound pressure in Chapter 3. It is the recommendation of the authors of this guide that PM is of biological relevance if it can be heard (e.g., by the accelerometer-like ears of fishes), if it risks causing injury, or if sound source direction is of interest to a biological study. It is also our recommendation that the magnitude (though not necessarily the direction) of PM can be calculated in situations where a plane wave or spherical spreading from a monopole source are reasonable approximations, but in other situations PM should be measured. Factors that could affect plane wave conditions depend on source type, frequency and distance from reflective boundaries. Essentially, in shallow water conditions in open water and in tanks, both sound pressure and PM need to be measured to describe the complete sound field. The physics justifying \u2018how shallow is shallow?\u2019 is explained in Chapter 4 of this guide. The maths describing these relationships has been programmed into a simple calculator where the user can enter physical properties of the acoustic environment and the sound of interest and receive a recommendation about whether PM should be measured or not. This calculator is attached to this guide as supporting material. Reporting only the pressure component risks underestimating impacts due to PM, particularly close to the source where PM is higher. However, we always recommend reporting sound pressure alongside PM to contextualise PM measurements. Measuring sound pressure gradients can also be an effective way to measure PM. In Chapter 5, basic guidance is provided on how to measure sound pressure, including the specifications of system components that can be used and how to deploy them. Measurement systems consist of hydrophone(s), conditioning preamplifier(s), analogue-to-digital converter(s) and a computer. The measuring system may consist of individual components or as an integrated system such as an autonomous recorder. Making effective measurements requires selecting hydrophones with a sensitivity that is well matched to the signals of interest and that the entire system is calibrated over the frequency range of interest. Sound propagation in and on the seabed can influence sound propagation in the water column. Therefore, a brief overview of behaviour of sound in the seabed is provided in Chapter 6. Interface waves and shear waves can affect the soundscape and these can be measured using geophones coupled to the seabed. Once the need for measuring PM is established, selecting equipment with which to make measurements is critical. We cover instrumentation in Chapter 7. PM sensors are most commonly based on accelerometers but can also be based on geophones or hydrophone arrays. The entire PM sensor must be calibrated for measurements to be meaningful, and this is covered in Chapter 8. Water salinity, PM sensor waterproofing and suspension methods all influence an instrument\u2019s calibration. For best practice, report the calibration in SI units and include the phase response and percentage uncertainty. Instructions for how to deploy PM sensors to make measurements in open water and in tanks are given in Chapter 9, with checklists to guide the reader. Due to the diversity of instruments and possible suspension types, this guidance is relatively general. PM recordings are acoustic data that are often stored as \u2018wav\u2019 files, with the main difference from pressure recordings being that PM data involve multiple channels; one for each axis of motion. Therefore, once calibrated, much of the data processing steps are the same for PM data as for sound pressure data. Chapter 10 includes a schematic representation of common analysis pathways and signposts the reader to detailed guidelines on signal processing that are already published. Intensity and integrating data from the three axes to calculate the PM magnitude are covered as well. Reporting PM is a key area to standardise at this early stage of the field, to ensure comparability between studies, which is the topic of Chapter 11. It is considered essential to report acceleration, with the option to report other quantities such as velocity or displacement if they are relevant to the study. We recommend reporting both linear and logarithmic quantities (i.e., linear and levels) and comparisons between PM and pressure should be like-for-like in terms linear or logarithmic units. For reporting levels in decibels, we provide a table of recommended reference values and recommend reporting the reference value with the quantity rather than the unit to avoid confusion. Finally, in Chapter 12 the key requirements and recommendations of this guide are summarised for making successful measurements. The science of this field is at an early stage and for this reason it is necessary for someone in the measurement team to understand the technicalities well, thus the summary cannot be taken as a short cut. Why now? ----- There is an increased public and industrial awareness of PM and a concern that PM from anthropogenic activities can adversely affect aquatic life. These concerns create a need for scientific research involving PM measurements, and increase the likelihood that Environmental Impact Assessments will be required to address PM in the future. There is currently no agreed standard for measuring PM, but scientists need to be able to produce universally comparable data. Our best practice guide is well timed as the field of PM bioacoustics is set to blossom. The current number of scientists making PM measurements is relatively small, thus a significant proportion of the community could attend a workshop that would allow for constructive discussions that will guide the field as it develops. The inclusive process of writing this best practice guide Following an in-depth literature review, an interim best practice guide was initially written by the authors. The authors of this guide comprise a multidisciplinary team that have a range of expertise spanning fish biology, the physics of underwater sound, practical experience of making underwater PM recordings, and analysing and reporting the resulting data. The interim best practice guide was rigorously reviewed by a panel of scientists active in this research field, the funder, and several global leaders in this field; and selected independent expert scientists active in the research area of measuring PM. The draft guidance was discussed by this group of selected scientists, the scientific panel, and all the authors at a webinar held in September 2020. At the webinar, directed discussions occurred on topics for which the authors could not agree a best practice. Polls by the webinar contingency followed each topic, which provided guidance for the authors to arrive at consensus on all topics. These agreements are incorporated into this guide. Our intention is to test this best practice guide in a field trial before producing a final version that will serve as a standard for research and industry. The development of this guidance document was sponsored by the E&P Sound and Marine Life Joint Industry Programme (JIP). Other documents the reader may wish to consult include a self-consistent set of procedures developed for use in JIP-sponsored projects (Ainslie et al., 2017; de Jong et al., 2020), and other self-consistent sets developed by the soundscape monitoring projects Atlantic Deepwater Ecosystem Observatory Network (ADEON; e.g., Ainslie et al., 2020a; Heaney et al., 2020) and Joint Monitoring Programme for Ambient Noise North Sea (JOMOPANS, e.g., Wang and Robinson, 2020). - , - Published - , - Refereed - , - Current - , - 14.1 - , - 14.a - , - Ocean sound - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1884", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1884", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1884", "url": "https:\/\/hdl.handle.net\/11329\/1884" }, "author": [ { "@type": "Person", "name": "Nedelec, S.L." }, { "@type": "Person", "name": "Ainslie, M.A." }, { "@type": "Person", "name": "Andersson, M.H." }, { "@type": "Person", "name": "Cheong, S.H." }, { "@type": "Person", "name": "Halvorsen, M.B." }, { "@type": "Person", "name": "Linn\u00e9, M." }, { "@type": "Person", "name": "Martin, B." }, { "@type": "Person", "name": "N\u00f6jd, A." }, { "@type": "Person", "name": "Robinson, S." }, { "@type": "Person", "name": "Simpson, S.D." }, { "@type": "Person", "name": "Wang, L." }, { "@type": "Person", "name": "Ward, J." } ], "contributor": [ { "@type": "Organization", "name": "University of Exeter for the IOGP Marine Sound and Life Joint Industry Programme" } ], "keywords": [ "Particle motion", "Pressure", "Underwater noise", "Underwater sound effects", "Underwater sound measurement", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/192", "name": "Marine information centre development: an introductory manual", "description": " - The purpose of this introductory manual is briefly to explain and put into context the elements involved in marine information centre development and operation. Aimed at managers, decision-makers and scientists with a general responsibility for funding, maintaining, developing or setting up services, as well as at information workers, it is hoped that the manual will also be of value to library and information staff new to the marine sciences. The intention is not to teach the skills necessary, nor to cover the various aspects in any depth, but to give an overview and create an awareness of the range of inter-connected procedures, activities and products which comprise an information service. It was difficult to maintain a balance, and readers might justifiably claim that some sections are not given sufficient attention. - , - Published - , - Marine information centre, catalogue automation, International information systems, Aquatic Science and Information Systems, ASFIS, ASFA, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/192", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/192", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/192", "url": "https:\/\/hdl.handle.net\/11329\/192" }, "author": [ { "@type": "Person", "name": "Varley, Allen" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Marine Information Management", "Information services", "Information centres", "Information handling" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1087", "name": "EO Product Collection, Service and Sensor Discovery using the CS-W edRIM Catalogue. Version 1.", "description": " - This is an OGC Best Practice document describing the relations that exist between several metadata conceptual models (EO Product, EO Product Collections, Sensors and Services). The specification of the linking between different artifacts is important for the process of cataloguing and discovering those artifacts. - , - Published - , - CS-W ebRIM Catalogue - , - Refereed - , - Current - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1087", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1087", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1087", "url": "https:\/\/hdl.handle.net\/11329\/1087" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Product collection", "Service", "Sensor discovery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2265", "name": "Bridging Gaps in the Climate Observation Network: A Physics-Based Nonlinear Dynamical Interpolation of Lagrangian Ice Floe Measurements via Data-Driven Stochastic Models.", "description": " - Modeling and understanding sea ice dynamics in marginal ice zones rely on measurements of sea ice. Lagrangian observations of ice floes provide insight into the dynamics of sea ice, the ocean, and the atmosphere. However, optical satellite images are susceptible to atmospheric noise, leading to gaps in the retrieved time series of floe positions. This paper presents an efficient and statistically accurate nonlinear dynamical interpolation framework for recovering missing floe observations. It exploits a balanced physics-based and data-driven construction to address the challenges posed by the high-dimensional and nonlinear nature of the coupled atmosphere-ice-ocean system, where effective reduced-order stochastic models, nonlinear data assimilation, and simultaneous parameter estimation are systematically integrated. The new method succeeds in recovering the locations, curvatures, angular displacements, and the associated strong non-Gaussian distributions of the missing floes in the Beaufort Sea. It also accurately estimates floe thickness and recovers the unobserved underlying ocean field with an appropriate uncertainty quantification, advancing our understanding of Arctic climate. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2265", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2265", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2265", "url": "https:\/\/hdl.handle.net\/11329\/2265" }, "author": [ { "@type": "Person", "name": "Covington, Jeffrey" }, { "@type": "Person", "name": "Chen, Nan" }, { "@type": "Person", "name": "Wilhelmus, Monica M." } ], "keywords": [ "Ice Floe Tracker algorithm", "Sea ice floes", "Cross-discipline", "Other physical oceanographic measurements", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/940", "name": "The Law of the Sea: Marine Scientific Research. A revised guide to the implementation of the relevant provisions of the United Nations Convention on the Law of the Sea.", "description": " - The 1991 Guide \u201cMarine Scientific Research: A Guide to the implementation of the relevant provisions of the United Nations Convention on the Law of the Sea\u201d advises States of the means by which articles in the Convention could be implemented by coastal and researching States. It has proven useful in implementing the marine scientific research regime as contained in the Convention. However, in almost two decades, several trends have become apparent that suggested a need to reassess the Guide. Of particular importance are trends in marine data acquisition, marine data dissemination, and the emergence of large-scale, international collaborative programmes. With regard to marine data acquisition, marine scientific research is increasingly conducted from autonomous platforms that can be either fixed or mobile, within the ocean (in-situ) or remote, manned or unmanned, and powered by nature or by humans. One of the key drivers of this autonomous technology has been the increased cost of ship-borne research coupled with the growing demand for continuous, high-resolution, long-term ocean observations for both research and societal needs. Equipment and sensors for marine scientific research have also been improved to enhance both the accuracy and duration of their performance, and to increase the ability to sample in areas of extreme environmental conditions. With regard to marine data dissemination, an analysis of the trends indicates that intergovernmental and international organizations have facilitated the adoption of standards and protocols to enhance data exchange resulting from marine scientific research. Greater use of national, regional and global oceanographic data centres have likewise become more commonplace. The establishment and use of these data centers promotes access to large volumes of data, making collaborative efforts to interpret the results of research necessary. Finally, the continued emergence of large-scale, international collaborative programmes often occurs across many areas within as well as beyond the limits of national jurisdiction. The scope and scale of these activities require the efforts of all States \u2013 both developed and developing. Thus, capacity-building and technology transfer are critical to the success of the research objectives of these types of programmes. For instance, the need to better understand the oceans\u2019 role in climate change, as well as the impacts of human activities on ocean resources have driven this need. This revised Guide takes these trends into account and attempts to inform all those stakeholders involved in marine scientific research of the significance of the relevant provisions of the United Nations Convention on the Law of the Sea - , - Published - , - Refereed - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/940", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/940", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/940", "url": "https:\/\/hdl.handle.net\/11329\/940" }, "contributor": [ { "@type": "Organization", "name": "United Nations Division for Ocean Affairs and the Law of the Sea Office of Legal Affairs" } ], "keywords": [ "UNCLOS", "Research cruise planning", "Law", "Legislation", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/195", "name": "A Handbook for measuring the progress and outcomes of integrated Coastal and Ocean Management.", "description": " - The handbook aims to contribute to the sustainable development of coastal and marine areas by promoting a more out-come-oriented, accountable and adaptive approach to ICOM. It provides a step-by-step guide to help users in developing, selecting and applying a common set of governance, ecological and socioeconomic indicators to measure, evaluate and report on the progress and outcomes of ICOM interventions. Intended as a generic tool with no prescriptive character, the handbook proposes analytical framework and indicators that from the basis for the customized design of sets of indicators. The handbook also includes results, outcomes and lessons learned from eight pilot case studies conducted in several countries. A network of ICOM experts in these countries has also been established. The target audience is wide, and includes coastal and ocean managers, practitioners, evaluations and researchers. The handbook forms part of an IOC toolkit on indicators. Its preparations is part of an effort to promote the development and use of ICOM indicators led by the Intergovernmental Oceanographic Commission, the Department of Fisheries and Oceans of Canada and the U.S. National Oceanic and Atmospheric Administration. - , - Published - , - ecological indicator, integrated coastal and ocean management, ecological indicator, Governance indicator - , - ICAM Dossier 2 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/195", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/195", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/195", "url": "https:\/\/hdl.handle.net\/11329\/195" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Coastal zone management", "Coastal zone", "Oceanography", "Oceanographic data", "Oceanographic institutions", "Oceanographic equipment", "Oceanographic surveys", "Indicators", "Ecological balance", "Oceanography", "Ecological balance" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/319", "name": "Report on best practice in conducting operations and maintaining: D 4.4. (Version 1 - 27\/02\/2012).", "description": " - Considering the importance of observing systems and the substantial investment made until now, an important task of JERICO is to describe best practices in all phases of the system (pre-deployment test, maintenance, calibration etc); to adopt common methodologies and protocols and to move towards the harmonisation of equipment which will help in reducing maintenance and calibration costs. These efforts are described and analysed in depth in this deliverable. - , - European Commission, Joint European Research Infrastructure network for Coastal Observatories (JERICO) Project, Grant Agreement n\u00b0 262584 - , - Published - , - Permission to deposit: Patrick Farcy, Coordinator JERICO Project (jerico@ifremer.fr) - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/319", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/319", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/319", "url": "https:\/\/hdl.handle.net\/11329\/319" }, "author": [ { "@type": "Person", "name": "Petihakis, G." }, { "@type": "Person", "name": "Sorensen, K." }, { "@type": "Person", "name": "Hernandez, C." }, { "@type": "Person", "name": "Testor, P." }, { "@type": "Person", "name": "Ntoumas, M." }, { "@type": "Person", "name": "Petersen, W." }, { "@type": "Person", "name": "Mader, J." }, { "@type": "Person", "name": "Mortier, L." } ], "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO Project" } ], "keywords": [ "FerryBox", "Gliders", "Nutrient analysers", "Fixed platforms", "Sensors", "Telemetry", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1973", "name": "Implementing Operational Ocean Monitoring and Forecasting Systems.", "description": " - The main objective of this guide is to promote the development of new marine forecasting systems around the globe along with the improvement of the existing ones, compiling and making available valuable information to the professionals in charge of developing these services. In writing the various chapters, the authors assumed that the reader has a general knowledge on ocean science but little or no background in ocean modeling. The present book intends to provide an overview of the entire value chain of an Operational Ocean Monitoring and Forecasting System (OOFS), explaining its basis. This guide will also focus, although to a lesser extent, into the more recent technical advances in the sector. - , - Published - , - Refereed - , - Current - , - Mature - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1973", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1973", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1973", "url": "https:\/\/hdl.handle.net\/11329\/1973" }, "contributor": [ { "@type": "Organization", "name": "IOC-UNESCO" } ], "keywords": [ "Ocean modelling", "Ocean forecasting", "Operational Ocean Monitoring and Forecasting System (OOFS)", "ETOOFS", "Atmosphere\u2013wave\u2013ocean forecasting.", "Downstream applications", "Ocean prediction", "ETOOFS Guide", "Physical oceanography", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1944", "name": "National Inuit Climate Change Strategy.", "description": " - We understand climate change in our homelands, and our leaders are responding to it. Inuit Nunangat is recognized as a global climate change hotspot, garnering national and global concern. We continue to emphasize that no one is more aware or concerned about the changes taking place in our homelands and their consequences than Inuit, as evidenced by our strident and effective advocacy for global action on climate change over the last three decades. We have an intimate understanding of how climate change is impacting the physical environment, and the wildlife and ecosystems that sustain us. We are deeply concerned about the complex impacts of climate change on our social, cultural and economic systems, and our health and well-being. Our vision and priorities must guide climate action that affects Inuit Nunangat Coordinated, effective action to mitigate and adapt to the impacts of climate change is essential. We are determined to actively shape climate policies and actions so that they are inclusive and effective for Inuit, improving our quality of life rather than adding to the socio-economic inequities we already face. We emphasize that we have critical contributions to make to climate policy and decision-making as rightsholders and knowledge-holders first and foremost. Our message is that for climate actions to be effective, appropriate, equitable, and sustainable for Inuit Nunangat, they must be in line with our collective Inuit vision for building the sustainability, prosperity, and well-being of our communities in the face of a changing climate. This vision and its context are described in detail in Part I of the Strategy. - , - Published - , - Current - , - 14.a - , - 13.2 - , - Organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1944", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1944", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1944", "url": "https:\/\/hdl.handle.net\/11329\/1944" }, "contributor": [ { "@type": "Organization", "name": "Inuit Tapiriit Kanatami" } ], "keywords": [ "Climate change", "Meteorology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/388.4", "name": "IHO Standards for Hydrographic Surveys, Edition 6.2.0.", "description": " - This publication aims to provide a set of standards for hydrographic surveys primarily used to compile navigational charts essential for the safety of navigation, knowledge and the protection of the marine environment. It specifies the minimum standards to be achieved based on the intended use. Where and when necessary, hydrographic offices or organisations are encouraged to define more stringent or specific requirements as national or regional realisations of the standard. This publication does not contain procedures for setting up equipment, conducting the survey, or for processing the resultant data. IHO Publication C-13, Manual on Hydrography, should be consulted for information on those topics (downloadable from the IHO homepage: www.iho.int). In this edition, a new, more stringent Exclusive Order has been introduced. The use of Exclusive Order should be limited to areas with exceptional conditions and specific requirements. The other orders for safety of navigation surveys have kept the same names, but their interpretation has changed from the previous edition due to the introduction of the bathymetric coverage concept. Special Order now explicitly requires full bathymetric coverage. Furthermore, the orders have been divided into requirements above and below the vertical datum. This edition aims to encourage the use of S-44 for purposes beyond the safety of navigation. It introduces the concept of a Matrix of parameters and data types to define realisations of survey standards and specifications. This Matrix alone is not a standard. It should be considered as a reference to specifying dedicated surveys, as appropriate, and to provide a tool for a broader classification of surveys. It is, by design, expandable and can evolve in future S-44 versions. Annex A provides guidance on how the Matrix can be used for specification and classification of surveys. S-44 vocabulary has been revised in order to more closely align with references typically used in metrology (e.g. Guide to the expression of uncertainty in measurement). Horizontal positioning standards for aids to navigation have been revised and standards on their vertical positioning have been added. Emphasis has been placed upon the main components of hydrographic surveys while being technology independent. - , - Published - , - 2008 edition is in: The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and Guidelines. Version 1. - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/388.4", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/388.4", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/388.4", "url": "https:\/\/hdl.handle.net\/11329\/388.4" }, "contributor": [ { "@type": "Organization", "name": "International Hydrographic Organization" } ], "keywords": [ "Hydrographic surveying", "GO-SHIP", "IHO", "Navigation charts", "Safety", "Bathymetric data", "Bathymetry", "Surveys", "Other physical oceanographic measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2606", "name": "Ocean Data Management 2025 (self-paced course)", "description": " - This online, fully self-paced training course provides a comprehensive introduction to the management of marine data, including the guiding principles of data management and typical responsibilities for data managers, data stewards and scientists. This course is developed by, and for, marine data managers, data stewards and researchers, working in institutions responsible for the collection and good management of marine data. During this training course, you will be introduced to several general aspects related to the management of marine data, including, metadata, quality control, data policy, data sharing and publishing, data management plans and the research data life cycle. By the end of this course, you will be able to describe and implement the core tasks required for the processing of marine data, explain the importance of metadata, advise researchers on the research data life cycle and explain why a good data management plan is key from the very first initiation steps of a project. - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2606", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2606", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2606", "url": "https:\/\/hdl.handle.net\/11329\/2606" }, "keywords": [ "Training Course", "Cross-discipline", "Data archival\/stewardship\/curation", "Data processing", "Data Management Practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1962", "name": "SBE 63 Optical Dissolved Oxygen Sensor With RS-232 Interface: user manual. Version 011.", "description": " - This manual is to be used with the SBE 63 Digital Optical Dissolved Oxygen Sensor. It is organized to guide the user from installation through operation and data collection. We\u2019ve included detailed specifications, command descriptions, maintenance and calibration information, and helpful notes throughout the manual. >>>>>>>>>>>>>> Mention of a commercial company or product within this repository content does not constitute an endorsement by UNESCO\/IOC-IODE. Use of information from this repository for publicity or advertising purposes concerning proprietary products or the tests of such products is not authorized. >>>>>>>>>>..... - , - Published - , - Current - , - Oxygen - , - Mature - , - Multi-organisational - , - International - , - Dissolved oxygen sensor - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1962", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1962", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1962", "url": "https:\/\/hdl.handle.net\/11329\/1962" }, "contributor": [ { "@type": "Organization", "name": "Sea-Bird Electronics Inc" } ], "keywords": [ "Dissolved gases", "dissolved gas sensors", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/552", "name": "The MARLISCO Guide for Reducing Marine Litter: Get Inspired and Become Innovative Through Best Practices.", "description": " - This guide does not aim to reinvent the wheel! It is based on a collection of best practices for the reduction of marine litter recorded from across Europe within the project MARLISCO (www.marlisco.eu). This document is meant to give an overview of the types of activities that different stakeholders could implement to reduce marine litter. Due to the specificities of different areas it would not be wise to attempt to produce a step-by-step guide on how to implement certain practices. Nor would it be possible to identify and describe practices that would be suitable for implementation across Europe. By providing an outline of the main types of practices, as well as indicating further sources of information and details, this Guide acts as the starting point for anyone interested in taking action against marine litter. Before you implement any practice to reduce marine litter think of the effect it is likely to have on your target audience\u2019s behaviour. For any action to be effective in the long term, it must cause a shift in behaviour that will be sustained even after the end of your audience\u2019s direct involvement. This is not always easy to achieve. It requires effective awareness- raising in tandem to any other practice that you are implementing. This Guide provides some examples of practices that specifically aim to raise awareness and promote social responsibility and you can use them to get ideas on how to ap- proach and influence your target audience. There are many other such practices being implemented around Europe, and you can find some of them on the complete MARLISCO Web-Database and The Berlin Conference Practices. Of course, education is at the core of behaviour change and the MARLISCO project has developed a number of educational tools that can be used for this purpose. This Guide does not include a dedicated section on monitoring of marine litter. This should not be taken as an indication that monitoring is not important. On the contrary, marine litter monitoring is the only way to get a clear idea of the sources of marine litter as well as to assess whether the actions taken to mitigate the problem are effective. The importance of monitoring is reflected in the fact that, according to the Marine Strategy Framework Directive requirements, each Member State must develop and implement marine litter monitoring protocols. It is strongly recommended that, where practices that could have an effect on marine litter are implemented, they are accompanied by a well-designed monitoring programme, which will record the amounts and types of marine litter before and after the implementation of the practice to assess any changes and thus the effectiveness of the practice. - , - Published - , - Refereed - , - Current - , - SDG14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/552", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/552", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/552", "url": "https:\/\/hdl.handle.net\/11329\/552" }, "author": [ { "@type": "Person", "name": "Orthodoxou, L. Demetra" }, { "@type": "Person", "name": "LoizidouI, Xenia" }, { "@type": "Person", "name": "LoizidesI, Michael" } ], "contributor": [ { "@type": "Organization", "name": "Isotech Ltd for MARLISCO Project" } ], "keywords": [ "Marine litter", "Pollution", "Plastics", "MARLISCO : MARine Litter in Europe Seas: Social AwarenesS and CO-Responsibility", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1272", "name": "Best Practices for Implementing Acoustic Technologies to Improve Reef Fish Ecosystem Surveys: Report from the 2017 GCFI Acoustics Workshop.", "description": " - Approximately 330 participants from 30 countries attended the 70th Gulf and Caribbean Fisheries Institute (GCFI) conference held in Merida, Mexico during 4-10 November 2017. The conference featured a symposium on Acoustic Technologies to Improve Reef Fish Ecosystem Surveys, whichprovided presentations on the various acoustic technologies used to monitor reef fish ecosystems. An acoustic workshop was also held to build scientific capacity and foster collaborative acoustic expertise, in order to enhance research and survey operations in reef-fish ecosystems. Recognizing the connectivity of marine populations across the geopolitical jurisdictions of the wider Caribbean region, National Oceanic and Atmospheric Administration (NOAA) supported the GCFI Ocean Innovation Strategic Initiative grant to build scientific capacity in the region for the sustainability of living marine resources. The acoustic workshop was conducted over three days with collaboration between GCFI, NOAA, Kongsberg-Simrad, Echoview and the South East Acoustic Consortium (SEAC). On the first day (November 4th), 33 participants and instructors from 10 countries departed from city of Progreso aboard the boat Isla Mujeresfor training on the use of three versions of the Simrad EK80 widebandechosounder: EK80 WBTs (designed for ships), EK80 WBAT (designed for autonomous platforms), and portable EK80 EcoSounder. Acoustic data was collected on a reef site approximately 18 miles offshore. During the second day (November 5th), participants received an overview of echosounder data processing and analytical methods using Echoview software, with a focus on reef environments. Participants learned how to load, calibrate and clean their acoustic data, how to detect, track and classify reef fish, and how to quantify their distribution and abundance. The third day of the acoustic workshop (November 9th) brought together the diverse perspectives of 57 participants from 13 countries to address the operational challenges of conducting acoustic surveys of reef-fish ecosystems. Case studies were presented by experts on various topics relevant to conducting acoustic operations in reef-fish habitats, such as statistical survey design, sensor selection and configuration, and interpreting acoustic data. Participants worked to prioritize management and operational objectives that can feasiblybe achieved with acoustic technologies in the region, and developed the framework for the technical report.This report provides guidance on the best practices for active- and passive-acoustic operations to enhance the understanding of reef-fish ecosystems. The acoustic workshop forged collaborative partnerships and provided direction for future training workshops on the integration of acoustic and optical technologies. These collaborative efforts are critical for building the next generation of experts, whose role will be to optimize survey operations with technologies for improving the sustainability of living-marine-resources in reef-fish ecosystems with connectivity across the geopolitical jurisdictions of the region. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Fish abundance and distribution - , - Ocean sound - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1272", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1272", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1272", "url": "https:\/\/hdl.handle.net\/11329\/1272" }, "author": [ { "@type": "Person", "name": "Michaels, W.L." }, { "@type": "Person", "name": "Binder, B." }, { "@type": "Person", "name": "Boswell, K." }, { "@type": "Person", "name": "Ch\u00e9rubin, L.M." }, { "@type": "Person", "name": "Demer, D.A." }, { "@type": "Person", "name": "Jarvis, T." }, { "@type": "Person", "name": "Knudsen, F.R." }, { "@type": "Person", "name": "Lang, C." }, { "@type": "Person", "name": "Paramo, J.E." }, { "@type": "Person", "name": "Sullivan, P.J." }, { "@type": "Person", "name": "Lillo, S." }, { "@type": "Person", "name": "Taylor, J.C." }, { "@type": "Person", "name": "Thompson, C.H." } ], "contributor": [ { "@type": "Organization", "name": "NOAA National Marine Fisheries Service" } ], "keywords": [ "Reef fish", "Acoustic surveys", "Fish ecosystems", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Rock and sediment biota", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1210", "name": "Marine Debris Monitoring and Assessment: Recommendations for Monitoring Debris Trends in the Marine Environment.", "description": " - Marine debris is defined by the National Oceanic and Atmospheric Administration (NOAA) and the United States Coast Guard (USCG) as any persistent solid material that is manufactured or processed and directly or indirectly, intentionally or unintentionally, disposed of or abandoned into the marine environment or the Great Lakes (33 USC 1951 et seq. as amended by Title VI of Public Law 112-213). Marine debris has become one of the most recognized pollution problems in the world\u2019s oceans and waterways today. In recent years, research efforts have significantly increased knowledge of the topic of marine debris. However, the field as a whole has not adopted standardized monitoring procedures or debris item categories. Standard methodology and reporting is necessary in order to compare marine debris source, abundance, distribution, movement, and impact data on regional, national, and global scales. The NOAA Marine Debris Program (MDP) has developed standardized, statistically valid methodologies for conducting rapid assessments of the debris material type and quantity present in a monitored location. The monitoring guidelines in this document focus on abundance, types, and concentration rather than analyzing by potential source, as in many cases it is very difficult to connect a debris item to a specific debris-generating activity. These techniques are intended to be widely applicable to enable comparisons across regional and global scales. This document includes guidelines for estimating debris concentrations on shorelines, in surface waters, during visual surveys at sea, and in the benthos. Background information is provided for each environmental compartment (i.e., shorelines, surface waters, and the seafloor), in addition to guidelines for survey design, required equipment, the survey techniques, and study implementation considerations. The appendices include a brief literature review for each compartment, survey data sheets, a debris item photo guide, frequently asked questions for shoreline surveys, and a summary of work completed by Versar, Inc. to test the methodologies. The techniques described in this document were developed over the course of a number of years, based on a review of the literature, discussions with experts, and field testing by the MDP and contractors. For shoreline monitoring, the MDP benefited from feedback from partner organizations who implemented these methods prior to the official publication of these guidelines. The guidelines in this document are intended for use by managers, researchers, citizen scientists, and other groups conducting marine debris survey and assessment activities, especially those requiring a rapid assessment. Monitoring and assessment of marine debris is essential to understanding the problem and being able to mitigate, prioritize, and prevent the most severe impacts. The effort to develop this document was rooted in the need to standardize methodologies and facilitate comparisons across time, space, and environmental compartments. These guidelines are provided to the marine debris community at large in order to guide the development of integrated monitoring programs nationwide. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1210", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1210", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1210", "url": "https:\/\/hdl.handle.net\/11329\/1210" }, "author": [ { "@type": "Person", "name": "Lippiatt, Sherry" }, { "@type": "Person", "name": "Opfer, Sarah" }, { "@type": "Person", "name": "Arthur, Courtney" } ], "contributor": [ { "@type": "Organization", "name": "NOAA Marine Debris Division" } ], "keywords": [ "Marine litter", "Marine pollution", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1439", "name": "Expanding \"Tara\" Oceans Protocols for Underway, Ecosystemic Sampling of the Ocean-Atmosphere Interface During Tara Pacific Expedition (2016\u20132018).", "description": " - Interactions between the ocean and the atmosphere occur at the air-sea interface through the transfer of momentum, heat, gases and particulate matter, and through the impact of the upper-ocean biology on the composition and radiative properties of this boundary layer. The Tara Pacific expedition, launched in May 2016 aboard the schooner Tara, was a 29-month exploration with the dual goals to study the ecology of reef ecosystems along ecological gradients in the Pacific Ocean and to assess inter-island and open ocean surface plankton and neuston community structures. In addition, key atmospheric properties were measured to study links between the two boundary layer properties. A major challenge for the open ocean sampling was the lack of ship-time available for work at \u201cstations\u201d. The time constraint led us to develop new underway sampling approaches to optimize physical, chemical, optical, and genomic methods to capture the entire community structure of the surface layers, from viruses to metazoans in their oceanographic and atmospheric physicochemical context. An international scientific consortium was put together to analyze the samples, generate data, and develop datasets in coherence with the existing Tara Oceans database. Beyond adapting the extensive Tara Oceans sampling protocols for high-resolution underway sampling, the key novelties compared to Tara Oceans\u2019 global assessment of plankton include the measurement of (i) surface plankton and neuston biogeography and functional diversity; (ii) bioactive trace metals distribution at the ocean surface and metal-dependent ecosystem structures; (iii) marine aerosols, including biological entities; (iv) geography, nature and colonization of microplastic; and (v) high-resolution underway assessment of net community production via equilibrator inlet mass spectrometry. We are committed to share the data collected during this expedition, making it an important resource important resource to address a variety of scientific questions. - , - Refereed - , - 14.A - , - Invertebrate abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1439", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1439", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1439", "url": "https:\/\/hdl.handle.net\/11329\/1439" }, "author": [ { "@type": "Person", "name": "Gorsky, Gabriel" }, { "@type": "Person", "name": "Bourdin, Guillaume" }, { "@type": "Person", "name": "Lombard, Fabien" }, { "@type": "Person", "name": "Pedrotti, Maria Luiza" }, { "@type": "Person", "name": "Audrain, Samuel" }, { "@type": "Person", "name": "Bin, Nicolas" }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Bowler, Chris" }, { "@type": "Person", "name": "Cassar, Nicolas" }, { "@type": "Person", "name": "Caudan, Loic" }, { "@type": "Person", "name": "Chabot, Genevieve" }, { "@type": "Person", "name": "Cohen, Natalie R." }, { "@type": "Person", "name": "Cron, Daniel" }, { "@type": "Person", "name": "De Vargas, Colomban" }, { "@type": "Person", "name": "Dolan, John R." }, { "@type": "Person", "name": "Douville, Eric" }, { "@type": "Person", "name": "Elineau, Amanda" }, { "@type": "Person", "name": "Flores, J. Michel" }, { "@type": "Person", "name": "Ghiglione, Jean Francois" }, { "@type": "Person", "name": "Ha\u00ebntjens, Nils" }, { "@type": "Person", "name": "Hertau, Martin" }, { "@type": "Person", "name": "John, Seth G." }, { "@type": "Person", "name": "Kelly, Rachel L." }, { "@type": "Person", "name": "Koren, Ilan" }, { "@type": "Person", "name": "Lin, Yajuan" }, { "@type": "Person", "name": "Marie, Dominique" }, { "@type": "Person", "name": "Moulin, Cl\u00e9mentine" }, { "@type": "Person", "name": "Moucherie, Yohann" }, { "@type": "Person", "name": "Pesant, St\u00e9phane" }, { "@type": "Person", "name": "Picheral, Marc" }, { "@type": "Person", "name": "Poulain, Julie" }, { "@type": "Person", "name": "Pujo-Pay, Mireille" }, { "@type": "Person", "name": "Reverdin, Gilles" }, { "@type": "Person", "name": "Romac, Sarah" }, { "@type": "Person", "name": "Sullivan, Mathew B." }, { "@type": "Person", "name": "Trainic, Miri" }, { "@type": "Person", "name": "Tressol, Marc" }, { "@type": "Person", "name": "Troubl\u00e9, Romain" }, { "@type": "Person", "name": "Vardi, Assaf" }, { "@type": "Person", "name": "Voolstra, Christian R." }, { "@type": "Person", "name": "Wincker, Patrick" }, { "@type": "Person", "name": "Agostini, Sylvain" }, { "@type": "Person", "name": "Banaigs, Bernard" }, { "@type": "Person", "name": "Boissin, Emilie" }, { "@type": "Person", "name": "Forcioli, Didier" }, { "@type": "Person", "name": "Furla, Paola" }, { "@type": "Person", "name": "Galand, Pierre E." }, { "@type": "Person", "name": "Gilson, Eric" }, { "@type": "Person", "name": "Reynaud, St\u00e9phanie" }, { "@type": "Person", "name": "Sunagawa, Shinichi" }, { "@type": "Person", "name": "Thomas, Olivier P." }, { "@type": "Person", "name": "Thurber, Rebecca Lisette Vega" }, { "@type": "Person", "name": "Zoccola, Didier" }, { "@type": "Person", "name": "Planes, Serge" }, { "@type": "Person", "name": "Allemand, Denis" }, { "@type": "Person", "name": "Karsenti, Eric" } ], "keywords": [ "Neuston\/plankton genomics", "Taxonomy", "Imaging", "Aerosols", "NCP", "IOP", "Trace metals", "Microplastics", "Parameter Discipline::Biological oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1856", "name": "Camera Calibration Techniques for Accurate Measurement Underwater.", "description": " - Calibration of a camera system is essential to ensure that image measurements result in accurate estimates of locations and dimensions within the object space. In the underwater environment, the calibration must implicitly or explicitly model and compensate for the refractive effects of waterproof housings and the water medium. This chapter reviews the different approaches to the calibration of underwater camera systems in theoretical and practical terms. The accuracy, reliability, validation and stability of underwater camera system calibration are also discussed. Samples of results from published reports are provided to demonstrate the range of possible accuracies for the measurements produced by underwater camera systems - , - Published - , - Revised version based on a paper originally published in the online access journal Sensors (Shortis 2015). - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1856", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1856", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1856", "url": "https:\/\/hdl.handle.net\/11329\/1856" }, "author": [ { "@type": "Person", "name": "Shortis, Mark" } ], "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "Optics", "Refraction", "Validation", "Underwater photography", "underwater cameras" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1931", "name": "R language-based methods for revealing taxonomic and functional diversity and tracing process of fish fauna.", "description": " - This paper presented the fish species richness at geographical unit of the Yangtze River. According to the fish taxonomic catalogs and biological traits, R language method was used to determine taxonomic diversity and functional diversity and the components of each unit. Regression analysis was used to test the varying tendency of taxonomic and functional diversity corresponding to the change of species richness. - Functional diversity is compared against taxonomic diversity in capturing the structure of dynamic ecosystem. - The \u03b2-diversity indices of taxonomy and function were calculated and decomposed to evaluate the role of species turnover and nestedness in the formation process of fish spatial pattern. - An integrated diversity index, balancing \u03b1 and \u03b2 diversity of species richness, taxonomic and functional diversity, is used to screen the prior conservation zone - , - Refereed - , - 14.a - , - Fish abundance and distribution - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1931", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1931", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1931", "url": "https:\/\/hdl.handle.net\/11329\/1931" }, "author": [ { "@type": "Person", "name": "Kanga, Bin" }, { "@type": "Person", "name": "Huangb, Xiaoxia" }, { "@type": "Person", "name": "Yanc, Yunzhi" }, { "@type": "Person", "name": "Yand, Yunrong" }, { "@type": "Person", "name": "Lind, Hungdu" } ], "keywords": [ "Species richness", "Taxonomic diversity", "Functional diversity", "Species turnover\/nestedness", "Conservation", "Fish", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1338", "name": "A Lab-On-Chip Phosphate Analyzer for Long-term In Situ Monitoring at Fixed Observatories: Optimization and Performance Evaluation in Estuarine and Oligotrophic Coastal Waters,", "description": " - The development of phosphate sensors suitable for long-term in situ deployments in natural waters, is essential to improve our understanding of the distribution, fluxes, and biogeochemical role of this key nutrient in a changing ocean. Here, we describe the optimization of the molybdenum blue method for in situ work using a lab-on-chip (LOC) analyzer and evaluate its performance in the laboratory and at two contrasting field sites. The in situ performance of the LOC sensor is evaluated using hourly time-series data from a 56-day trial in Southampton Water (UK), as well as a month-long deployment in the subtropical oligotrophic waters of Kaneohe Bay (Hawaii, USA). In Kaneohe Bay, where phosphate concentrations were characteristic of the dry season (0.13 \u00b1 0.03 \u03bcM, n = 704), the in situ sensor accuracy was 16 \u00b1 12% and a potential diurnal cycle in phosphate concentrations was observed. In Southampton Water, the sensor data (1.02 \u00b1 0.40 \u03bcM, n = 1,267) were accurate to \u00b10.10 \u03bcM relative to discrete reference samples. Hourly in situ monitoring revealed striking tidal and storm derived fluctuations in phosphate concentrations in Southampton Water that would not have been captured via discrete sampling. We show the impact of storms on phosphate concentrations in Southampton Water is modulated by the spring-neap tidal cycle and that the 10-fold decline in phosphate concentrations observed during the later stages of the deployment was consistent with the timing of a spring phytoplankton bloom in the English Channel. Under controlled laboratory conditions in a 250 L tank, the sensor demonstrated an accuracy and precision better than 10% irrespective of the salinity (0\u201330), turbidity (0\u2013100 NTU), colored dissolved organic matter (CDOM) concentration (0\u201310mg\/L), and temperature (5\u201320\u25e6C) of the water (0.3\u201313 \u03bcM phosphate) being analyzed. This work demonstrates that the LOC technology is mature enough to quantify the influence of stochastic events on nutrient budgets and to elucidate the role of phosphate in regulating phytoplankton productivity and community composition in estuarine and coastal regimes. - , - Refereed - , - 14.A - , - Nutrients - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1338", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1338", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1338", "url": "https:\/\/hdl.handle.net\/11329\/1338" }, "author": [ { "@type": "Person", "name": "Grand, Maxime M." }, { "@type": "Person", "name": "Clinton-Bailey, Geraldine S." }, { "@type": "Person", "name": "Beaton, Alexander D." }, { "@type": "Person", "name": "Schaap, Allison M." }, { "@type": "Person", "name": "Johengen, Thomas H." }, { "@type": "Person", "name": "Tamburri, Mario N." }, { "@type": "Person", "name": "Connelly, Douglas P." }, { "@type": "Person", "name": "Mowlem, Matthew C." }, { "@type": "Person", "name": "Achterberg, Eric P." } ], "keywords": [ "In situ phosphate analysis", "Molybdenum blue", "Microfluidics", "Phospate sensor", "Nutrient sensor challenge", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::nutrient analysers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/129", "name": "XBT\/XCTD standard test procedures for reliability and performance tests of expendable probes at sea. Revised draft.", "description": " - The best way to assure a quality XBT or XCTD is to implement a standard set of procedures for testing the probes. This document proposes a three step process for insuring XBT\/XCTD quality: 1. Start with a set of specifications that must be adhered to, by either laboratory testing or documentation from the manufacturer, before proceeding onto the field evaluations. 2. Next is a standard reliability testing procedure under normal ship of opportunity conditions, i.e. on a vessel underway. 3. Finally and most important is a side-by-side comparison with a cable lowered high precision CTD as a field reference. - , - http:\/\/www.jcommops.org\/soopip\/doc\/manuals\/soopog\/XBT-CTD%20std%20test%20procedures.pdf - , - SOOPIP to review (Gustavo Goni); should be reviewed as a second priority - , - Prepared for the International Oceanograhic Commission (IOC) and World Meteorological Organization (WMO) \u2013 3rd Session of JCOMM Ship-of-Opportunity Implementation Panel (SOOPIP-III), March 28-31, 2000, La Jolla, California, U.S.A. - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/129", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/129", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/129", "url": "https:\/\/hdl.handle.net\/11329\/129" }, "author": [ { "@type": "Person", "name": "Sy, Alexander" }, { "@type": "Person", "name": "Wright, Darren" } ], "contributor": [ { "@type": "Organization", "name": "TC SOT" } ], "keywords": [ "Temperature\/conductivity measurements", "XBT", "XCTD", "Probes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/504", "name": "From heterogeneous marine sensors to sensor web: (near) real-time open data access adopting OGC sensor web enablement standards.", "description": " - Sensor engineering is continuously evolving as devices become cheaper, smaller, more intelligent, and more efficient. Today, oceanographic sensors aim at monitoring marine processes by means of physical, chemical, and biological variables, and use different data formats, units, parameters, resolutions, data quality standards, and protocols. Therefore, integration and interoperability at European level represent a challenge. To cope with this challenge, the Sensor Web Enablement (SWE) standards, developed by the Open Geospatial Consortium (OGC), are a good solution, as they ensure interoperability and long-term archiving of data series with complete information for all devices. The interoperability allows integrating information from different sources or pre-existing architectures, such as those developed in the SANY project (http:\/\/www.opengeospatial.org\/ogc\/regions\/SANY) or by the US Integrated Ocean Observing System (https:\/\/github.com\/ioos). In this paper, we illustrate the real-time data management system, developed by the Italian National Oceanographic Data Centre (NODC) at the Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, OGS in Trieste \u2013 Italy, designed to share data acquired by a large number of heterogeneous observing platforms. This system adopts Observations and Measurements (O&M) and Sensor Model Language (SensorML) as data and metadata formats, as well as the Sensor Observation Service (SOS) released by the 52\u00b0North as server and Web client for open data access. The work done shows that the choice to manage real-time data using OGC Sensor Web Enablement (SWE) standards can be considered a valid solution with pros and cons. Nevertheless, in the future, the SWE community will grow, and with it, the number of applications to manage SWE standards to simplify their adoption - , - Refereed - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/504", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/504", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/504", "url": "https:\/\/hdl.handle.net\/11329\/504" }, "author": [ { "@type": "Person", "name": "Partescano, Elena" }, { "@type": "Person", "name": "Brosich, Alberto" }, { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Cardin, Vanessa" }, { "@type": "Person", "name": "Giorgetti, Alessandra" } ], "keywords": [ "Marine sensor web architectures", "Sensor web technologies", "Standardization", "Interoperability", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/680", "name": "Determination of polychlorinated biphenyls (PCBs) in sediment and biota.", "description": " - Polychlorinated biphenyls (PCBs) are environmental contaminants regulated by the Stockholm Convention of Persistent Organic Pollutants (POPs), and are included on the OSPAR List of Chemicals for Priority Action due to their persistence, potential to bioaccumulate, and toxicity. Analysis of the ICES-7 PCBs (CB28, 52, 101, 118, 138, 153, and 180), in sediment and biota, is a mandatory requirement of the OSPAR Co- ordinated Environmental Monitoring Programme (CEMP). Three of the four non- ortho (CB77, 126 and 169) are classed as pre-CEMP determinands at the time of publication, and analysis in biota is recommended but on a voluntary basis. This document provides advice on the analysis of PCBs in biota and sediment, including non-ortho PCBs. The determination of PCBs in sediment and biota generally involves extraction with organic solvents, clean-up, and gas chromatographic separation with electron capture detection or mass spectrometry. Due to the low concentrations of non-ortho substituted PCBs compared to those of other PCBs, their determination may require an additional separation step. All stages of the procedure are susceptible to insufficient recovery and\/or contamination. Therefore, quality control procedures are important in order to check method performance. These guidelines have been prepared by members of the ICES Marine Chemistry Working Group (MCWG) and the Working Group on Marine Sediment (WGMS) and are intended to encourage and assist analytical chemists to reconsider their methods and to improve their procedures and\/or the associated quality control measures where necessary. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/680", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/680", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/680", "url": "https:\/\/hdl.handle.net\/11329\/680" }, "author": [ { "@type": "Person", "name": "Webster, Lynda" }, { "@type": "Person", "name": "Roose, Patrick" }, { "@type": "Person", "name": "Bersuder, Philippe" }, { "@type": "Person", "name": "Kotterman, Michiel" }, { "@type": "Person", "name": "Haarich, Michael" }, { "@type": "Person", "name": "Vorkamp, Katrin" } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2410", "name": "A Framework to Quality Control Oceanographic Data.", "description": " - The ocean is an intrinsically challenging environment to collect data, which makes spurious measurements inevitable. Thus, the quality of oceanographic datasets is highly dependent on the ability to identify and remove bad samples. Quality control (QC) of oceanographic data has mostly relied on manual QC by experts, which, despite resulting in the best data quality, is not scalable and becomes impractical to handle large datasets or real-time data streams. To address this issue, automatic QC procedures have been proposed and widely used for decades (e.g., IOC\/IODE, 1993; DATA\u2013MEQ working group, 2010; GTSPP Real\u2013Time Quality Control Manual, 2010; Morello et al., 2014; QARTOD group, 2016; Wong, Keeley, Carval, & Argo Data Management Team, 2015); however, these procedures are seldom organized and distributed as packages, so it is still common for new users to have to implement them from scratch. Additionally, different applications of the same dataset may require different QC procedures. For example, a particular user faced with the QC of a small dataset might be willing to apply a less conservative QC in order to preserve a larger number of data points, paying the price of having some false positives. CoTeDe is an Open Source Python package that provides a flexible way to automatic QC oceanographic data by combining multiple QC standards while allowing the users to fully control and tune the parameters according to their own needs. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2410", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2410", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2410", "url": "https:\/\/hdl.handle.net\/11329\/2410" }, "author": [ { "@type": "Person", "name": "Castelao, Guilherme P." } ], "keywords": [ "CoTeDe", "Automatic quality control", "Python", "Physical oceanography", "Cross-discipline", "Data quality management", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2411", "name": "From goals to engagement\u2014 evaluating citizen science project descriptions as science communication texts.", "description": " - Introduction: Attracting and recruiting volunteers is a key aspect of managing a citizen science initiative. Science communication plays a central role in this process. In this context, project descriptions are of particular importance, as they are very often, the first point of contact between a project and prospective participants. As such, they need to be reader-friendly, accessible, spark interest, contain practical information, and motivate readers to join the project. Methods: This study examines citizen science project descriptions as science communication texts. We conducted a thorough review and analysis of a random sample of 120 English-language project descriptions to investigate the quality and comprehensiveness of citizen science project descriptions and the extent to which they contain information relevant to prospect participants. Results: Our findings reveal information deficiencies and challenges relating to clarity and accessibility. While goals and expected outcomes were frequently addressed, practical matters and aspects related to volunteer and community management were much less well-represented. Discussion: This study contributes to a deeper understanding of citizen science communication methods and provides valuable insights and recommendations for enhancing the effectiveness and impact of citizen science. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2411", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2411", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2411", "url": "https:\/\/hdl.handle.net\/11329\/2411" }, "author": [ { "@type": "Person", "name": "Golumbic, Yaela N." }, { "@type": "Person", "name": "Oesterheld, Marius" } ], "keywords": [ "Participatory research", "Science communication", "Science and society", "Open science", "Public engagement with science", "Popular science writing", "Citizen Science", "Administration and dimensions", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2376", "name": "Fish-Killing Marine Algal Blooms: Causative Organisms, Ichthyotoxic Mechanisms, Impacts and Mitigation.", "description": " - Fish-killing microalgal blooms are responsible for much greater global socio-economic impacts than the well-studied HAB species causing seafood biotoxin contamination. Examples are the 1972 Chattonella marina bloom in the Seto Inland Sea, Japan (estimated USD 71M loss to yellowtail aquaculture), the 1988 Prymnesium polylepis bloom in the European Kattegat with broad marine ecosystem impacts, and the 2015\/16 Pseudochattonella verruculosa bloom in Chile (USD 800M loss to salmon aquaculture). Highly potent fish-killers include the globally distributed, taxonomically unrelated dinoflagellate genera Alexandrium, Karenia, Karlodinium and Margalefidinium, raphidophytes Chattonella and Heterosigma, dictyochophytes Pseudochattonella and Vicicitus, and haptophytes Chrysochromulina and Prymnesium. All these species have in common their propensity to produce lytic compounds that irreparably damage the sensitive gill tissues of fish which ultimately die from suffocation. Except for recent advances with Karlodinium (karlotoxins), Prymnesium (prymnesins), and Karenia brevisulcata (brevisulcenals), the precise mechanisms of how such microalgae kill finfish remain poorly understood. Reactive Oxygen Species can be a co-factor in ichthyotoxicity, notably with raphidophytes such as Chattonella. While some species are always ichthyotoxic, others such as Heterosigma, Pseudochattonella and Alexandrium catenella kill fish only under certain conditions or life stages. Broad scale ecosystem impacts from fish killing algae are less common with raphidophytes and dictyochophytes that require intimate cellular contact for harmful effects, compared to Karenia and Prymnesium where intracellular or excreted toxins are responsible. Critical hurdles that limit progress in our understanding of ichthyotoxins and their control and mitigation include: HABs at fish farms are not usually a research priority until a major bloom occurs; data sharing between industry and scientists is very limited; and there is a lack of standardized methods to detect ichthyotoxins in low concentrations dissolved in seawater. Currently, the RT fish-gill W1 (rainbow trout epithelial gill cell line) and Chaetoceros Quantum Yield bioassays are the most promising candidates for international standardization and intercalibration for some HABs. The abundance of HABs that will adversely impact or kill fish is of considerable interest to fish farmers, open-water fishers, and natural resource management authorities. However, this varies with HAB strains and species, type and age of fish, but also local conditions of water temperature, salinity, turbulence and tidal flushing. Climate change also contributes to the unpredictability of fast fish killing blooms. Prevention, prediction and monitoring are no longer sufficient, but we actively need to pursue broad-scale tools to stop the blooms, for example by means of clay flocculation of algal biomass and\/or targeted mopping up of ichthyotoxins. We review existing knowledge and provide a roadmap for scientists, aquaculturists and insurance companies to improve management of fish-killing algal blooms that put pressure on seafood security for an ever-increasing human population. - , - Published - , - Contributors: A.D. Cembella, O. Espinosa, L. Guzman, B. Krock, P.T. Lim, A.R. Place - , - Refereed - , - Current - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2376", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2376", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2376", "url": "https:\/\/hdl.handle.net\/11329\/2376" }, "author": [ { "@type": "Person", "name": "Hallegraeff, G.M." }, { "@type": "Person", "name": "Anderson, D.M." }, { "@type": "Person", "name": "Davidson, K." }, { "@type": "Person", "name": "Gianella, F." }, { "@type": "Person", "name": "Hansen, P.J." }, { "@type": "Person", "name": "Hegaret, H." }, { "@type": "Person", "name": "Iwataki, M." }, { "@type": "Person", "name": "Larsen, T.O." }, { "@type": "Person", "name": "Mardones, J." }, { "@type": "Person", "name": "MacKenzie, L." }, { "@type": "Person", "name": "Rensel, J.E." } ], "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC\/SCOR." } ], "keywords": [ "Aquaculture", "Fish farms", "Insurance Companies", "Algal blooms", "Fish kills", "Harmful Agal Blooms (HAB)", "Icthytoxins", "Toxins", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1274", "name": "Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization to the Convention on Biological Diversity : text and annex.", "description": " - This booklet contains the text and annex of the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefi ts Arising from their Utilization to the Convention on Biological Diversity. The Convention on Biological Diversity was opened for signature on 5 June 1992 at the United Nations Conference on Environment and Development (the Rio \u201cEarth Summit\u201d) and entered into force on 29 December 1993. The Convention is the only international instrument comprehensively addressing biological diversity. The Convention\u2019s three objectives are the conservation of biological diversity, the sustainable use of its components and the fair and equitable sharing of benefits arising from the utilisation of genetic resources. To further advance the implementation of the third objective, the World Summit on Sustainable Development (Johannesburg, September 2002) called for the negotiation of an international regime, within the framework of the Convention, to promote and safeguard the fair and equitable sharing of benefi ts arising from the utilisation of genetic resources. The Convention\u2019s Conference of the Parties responded at its seventh meeting, in 2004, by mandating its Ad Hoc Open-ended Working Group on Access and Benefit-sharing to elaborate and negotiate an international regime on access to genetic resources and benefit-sharing in order to eff ectively implement Articles 15 (Access to Genetic Resources) and 8(j) (Traditional Knowledge) of the Convention and its three objectives. After six years of negotiation, the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization to the Convention on Biological Diversity was adopted at the tenth meeting of the Conference of the Parties on 29 October 2010, in Nagoya, Japan. The Protocol signifi cantly advances the Convention\u2019s third objective by providing a strong basis for greater legal certainty and transparency for both providers and users of genetic resources. Specific obligations to support compliance with domestic legislation or regulatory requirements of the Party providing genetic resources and contractual obligations reflected in mutually agreed terms are a significant innovation of the Protocol. These compliance provisions as well as provisions establishing more predictable conditions for access to genetic resources will contribute to ensuring the sharing of benefits when genetic resources leave a Party providing genetic resources. In addition, the Protocol\u2019s provisions on access to traditional knowledge held by indigenous and local communities when it is associated with genetic resources will strengthen the ability of these communities to benefit from the use of their knowledge, innovations and practices. By promoting the use of genetic resources and associated traditional knowledge, and by strengthening the opportunities for fair and equitable sharing of benefits from their use, the Protocol will create incentives to conserve biological diversity, sustainably use its components, and further enhance the contribution of biological diversity to sustainable development and human well-being. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1274", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1274", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1274", "url": "https:\/\/hdl.handle.net\/11329\/1274" }, "contributor": [ { "@type": "Organization", "name": "Secretariat of the Convention on Biological Diversity" } ], "keywords": [ "Biodiversity conservation", "Law", "Legislation", "Genetic resources conservation", "Convention on Biological Diversity (1992)", "International cooperation", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2476", "name": "HELCOM Monitoring Programme topic Litter. Programme: Microlitter particle abundance and characteristics.", "description": " - A common monitoring strategy is missing because monitoring methods are under development, and a common approach needs to be agreed upon. Monitoring should enable the identification of artificial polymer particles from other litter materials. It is however possible that some of the methods currently used may harm certain materials. Microlitter in water will be monitored by sampling in the water column with plankton nets. The amount and the composition (as far as possible) of the microparticles will be analyzed. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Pilot or Demonstrated - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2476", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2476", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2476", "url": "https:\/\/hdl.handle.net\/11329\/2476" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Monitoring guidelines", "Monitoring protocols", "Sediment pollution", "Microlitter", "Anthropogenic contamination", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1722", "name": "The Significant Properties of Spreadsheets. A report by the Open Preservation Foundation\u2019s Archives Interest Group. Version 1.0.", "description": " - Preserving files in spreadsheet formats is a priority for every member. We need to answer questions such as \u2018should we migrate?\u2019 and \u2018how do we measure the success or quality of the migration?\u2019. For the latter, we need to know what aspects of the file are important (significant), which led us to the decision to investigate the significant properties of spreadsheets. - , - Published - , - Current - , - N\/A - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1722", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1722", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1722", "url": "https:\/\/hdl.handle.net\/11329\/1722" }, "contributor": [ { "@type": "Organization", "name": "Open Preservation Foundation" } ], "keywords": [ "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/173.2", "name": "Guide for Establishing an IODE National Oceanographic Data Centre, IODE Associate Data Unit or IODE Associate Information Unit (3rd revised edition).", "description": " - This document supersedes IOC Manuals and Guides No. 5 Rev. 2 (2008) (http:\/\/www.iode.org\/mg5) which was entitled \u201cGuide for Establishing a National Oceanographic Data Centre\u201d. Taking into account the substantive evolution in information technology, capabilities of organizations other than existing IODE National Oceanographic Data Centres to manage and make available ocean data, information, products and services, the IODE Committee, at its 25th Session (2019) recommended the updating of IOC Manuals and Guides. This document is the result of that revision. - , - Published - , - Oceanographic data centre, coordination data centre, - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Organisational - , - International - , - Guidelines & Policies - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/173.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/173.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/173.2", "url": "https:\/\/hdl.handle.net\/11329\/173.2" }, "author": [ { "@type": "Person", "name": "Rickards, Lesley" }, { "@type": "Person", "name": "Pissierssens, Peter" }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Boyer, Tim" }, { "@type": "Person", "name": "Garcia, Hernan" }, { "@type": "Person", "name": "Reed, Greg" }, { "@type": "Person", "name": "Scott, Lucy" }, { "@type": "Person", "name": "Simpson, Pauline" } ], "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Information management", "Data acquisition", "Data collections", "Data processing", "Data reports", "Data transmission", "Data acquisition", "Data processing", "Cross-discipline", "Data archival\/stewardship\/curation", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/382", "name": "Introduction to the Collection of Expert Reports and Guidelines (table of measurement standards).", "description": " - The GO-SHIP program was developed to provide a sustained coordination mechanism for global repeat hydrography as outlined in the GO-SHIP strategy published in 2009 (available online at: http:\/\/www.go-ship.org\/Docs\/IOCTS89_GOSHIP.pdf). Central to this coordination is ensuring that measurements made by different groups are comparable, compatible, and of the highest quality possible. Under the guidance of the GO-SHIP committee and following the original work of Joyce (1991), the following measurement standards, or expectations, have been developed as goals for the data quality desired from GO-SHIP reference sections. - , - Published - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/382", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/382", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/382", "url": "https:\/\/hdl.handle.net\/11329\/382" }, "author": [ { "@type": "Person", "name": "Hood, E.M" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1424", "name": "QARTOD - Prospects for Real-Time Quality Control Manuals, How to Create Them, and a Vision for Advanced Implementation.", "description": " - The United States Integrated Ocean Observing System\u00ae (U.S. IOOS\u00ae) Quality Assurance \/ Quality Control of Real-Time Oceanographic Data (QARTOD) Project marshaled hundreds of volunteer subject-matter experts to identify tests to evaluate real-time data quality by variable and instrument type. These quality control steps, outlined in QARTOD manuals, are crucial for documenting the reliability of the collected real-time environmental data. QARTOD, which began as an ad hoc effort in 2003, has published thirteen quality control manuals. Specific aspirations for future QARTOD efforts include revising existing manuals, identifying new manuals for development based on the QARTOD community development process, and promoting the documented quality control procedures within the IOOS and broader ocean observing system communities. QARTOD manuals characterize the quality control processes as required, strongly recommended, or suggested for each sensor type. QARTOD manuals can be developed only when, 1) interoperable data streams are employed, 2) data are disseminated and used in real-time, and 3) there is sufficient community expertise and interest. An initial review of U.S. IOOS core variables and Global Ocean Observing System Essential Ocean Variables (considering these three requirements) reveals no remaining variables with an immediate need for manual development. As technologies advance, the observational maturity increases for these variables, as will the need for a QARTOD manual. QARTOD QC tests are now being implemented by operators at ocean observing systems around the world. Technological progress (e.g., autonomous vehicles) suggests a high potential for expanding the real-time quality control measures integrated within field instrumentation. Most required QARTOD tests can be embedded and implemented within the field-deployed equipment, and QARTOD-ready devices likely will be available soon. As the Internet of Things grows to include oceanographic hardware (Xu et al. 2019), such embedded QC processes will become important. - , - Published - , - Non Refereed - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1424", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1424", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1424", "url": "https:\/\/hdl.handle.net\/11329\/1424" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Bailey, Kathleen" }, { "@type": "Person", "name": "Bosch, Julie" }, { "@type": "Person", "name": "Burger, Eugene" }, { "@type": "Person", "name": "Dorton, Jennifer" }, { "@type": "Person", "name": "Easily, Regina" }, { "@type": "Person", "name": "Heitsenrether, Bob" }, { "@type": "Person", "name": "King, Jeff" }, { "@type": "Person", "name": "Grissom, Karen" }, { "@type": "Person", "name": "Tamburri, Mario" }, { "@type": "Person", "name": "Thomas, Julianna" }, { "@type": "Person", "name": "Waldmann, Christoph" } ], "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data interoperability development", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/717", "name": "Biological effects of contaminants: Measurement of DNA adducts in fish by 32P-postlabelling.", "description": " - This document describes in detail the 32P-postlabelling method and its application to fish. Several recent studies have shown that the 32P-postlabelling method can be used to detect and measure the levels of DNA modified by large, hydrophobic aromatic compounds in teleosts. Moreover, the levels of hepatic DNA adducts in wild fish positively correlate with the concentrations of polycyclic aromatic compounds (PACs) present in marine sediments in several cases, and a strong positive correlation has been observed between sediment concentrations of PACs and the prevalence of neoplastic lesions in liver of marine flatfish. Laboratory studies with model PACs and sediment extracts also have shown that the PAC-DNA adducts formed are persistent and have chromatographic characteristics similar to DNA adducts detected in wild fish. These findings suggest that the levels of hepatic DNA adducts found in fish tissues can function as molecular dosimeters of exposure to potentially genotoxic environmental contaminants, such as high molecular weight PACs. The 32P-postlabelling assay has been used as a marker of exposure to potentially genotoxic contaminants in environmental monitoring studies, such as NOAA's National Status and Trends (NS&T) Program and in the Bioeffects Surveys of NOAA's Coastal Ocean Program. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/717", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/717", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/717", "url": "https:\/\/hdl.handle.net\/11329\/717" }, "author": [ { "@type": "Person", "name": "Reichert, W. L." }, { "@type": "Person", "name": "French, B. L." }, { "@type": "Person", "name": "Stein, J. E." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1118", "name": "Unified Geo-data Reference Model for Law Enforcement and Public Safety. Version 1.0.", "description": " - This document provides an overview of the Unified Geo-data Reference Model for Law Enforcement and Public Safety (Unified Model). The Unified Model was originally developed by the GIS Center for Security (GIS CS), Abu Dhabi Police. The GIS CS was initiated based on a UAE Ministry of Interior issued decree to establish GIS CS with the core mission: \u201cTo geo-enable police services and applications using International standards and best practices.\u201d In 2010, the GIS SC initiated a program to develop a Standardized GIS Environment (SGA). Part of this effort was to define and implement a standard data model for sharing Law Enforcement and Public Safety data. - , - Published - , - This document defines an OGC Best Practices on a particular technology or approach related to an OGC standard. This document is not an OGC Standard and may not be referred to as an OGC Standard. It is subject to change without notice. However, this document is an official position of the OGC membership on this particular technology topic. - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1118", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1118", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1118", "url": "https:\/\/hdl.handle.net\/11329\/1118" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Law enforcement", "Public safety", "Geo-data reference model" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2140", "name": "Development of a Low-Cost Arduino-Based Sonde for Coastal Applications.", "description": " - This project addresses the need for an expansion in the monitoring of marine environments by providing a detailed description of a low cost, robust, user friendly sonde, built on Arduino Mega 2560 (Mega) and Arduino Uno (Uno) platforms. The sonde can be made without specialized tools or training and can be easily modified to meet individual application requirements. The platform allows for internal logging of multiple parameters of which conductivity, temperature, and GPS position are demonstrated. Two design configurations for different coastal hydrographic applications are highlighted to show the robust and versatile nature of this sensor platform. The initial sonde design was intended for use on a Lagrangian style surface drifter that recorded measurements of temperature; salinity; and position for a deployment duration of less than 24 h. Functional testing of the sensor consisted of a 55 h comparison with a regularly maintained water quality sensor (i.e., YSI 6600 sonde) in Mobile Bay, AL. The temperature and salinity data were highly correlated and had acceptable RMS errors of 0.154 C and 1.35 psu for the environmental conditions. A second application using the sonde platform was designed for longer duration (~3\u20134 weeks); subsurface (1.5\u20134.0 m depths) deployment, moored to permanent structures. Design alterations reflected an emphasis on minimizing power consumption, which included the elimination of the GPS capabilities, increased battery capacity, and power-saving software modifications. The sonde designs presented serve as templates that will expand the hydrographic measurement capabilities of ocean scientists, students, and teachers. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2140", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2140", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2140", "url": "https:\/\/hdl.handle.net\/11329\/2140" }, "author": [ { "@type": "Person", "name": "Lockridge, Grant" }, { "@type": "Person", "name": "Dzwonkowski, Brian" }, { "@type": "Person", "name": "Nelson, Reid" }, { "@type": "Person", "name": "Powers, Sean" } ], "keywords": [ "Arduino", "Data logger", "Drifter", "Sonde", "Low cost", "Physical oceanography", "CTD" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/218", "name": "Manual on sea level measurement and interpretation. Volume III - Reappraisals and Recommendations as of the year 2000.", "description": " - This manual is concerned primarily with techniques for the measurement of what are called relative sea level changes which means changes relative to the level of the land upon which the measuring instrument (the tide gauge) is located. The subject of changes in the level of land itself is reviewed later in this document but is given more detailed presentation in other reports to which we refer. The manual also concerns itself primarily with the part of the frequency spectrum of sea level change from minutes through to centuries by means of in situ devices at the coast (tide gauges). Such changes are sometimes called still water level changes, being changes over a period long enough to average over wind waves. The devices employed to make these measurements are usually called tide gauges, although sea level recorders might be a more appropriate term. In this manual we have kept the older, conventional term. - , - Published - , - Transducer gauge, Acoustic gauge,Data transmission methods - , - Sea surface height - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/218", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/218", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/218", "url": "https:\/\/hdl.handle.net\/11329\/218" }, "contributor": [ { "@type": "Organization", "name": "UNESCO-IOC for IODE" } ], "keywords": [ "Oceanography", "Sea level measurement", "Sea level changes", "Tide gauges", "Acoustic data", "Acoustic transducers", "Acoustic current meters", "Transducers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/328", "name": "Sea-Ice Nomenclature: snapshot of the WMO Sea Ice Nomenclature (WMO No. 259, Volume 1 \u2013 Terminology and Codes, Volume II \u2013 Illustrated Glossary and III \u2013 International System of Sea-Ice Symbols)", "description": " - This document provides snapshot of the WMO Sea Ice Nomenclature (WMO No. 259, Volume 1 \u2013 Terminology and Codes, Volume II \u2013 Illustrated Glossary and III \u2013 International System of Sea-Ice Symbols) by March 2014 (5th Session of JCOMM Expert Team on Sea Ice) - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/328", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/328", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/328", "url": "https:\/\/hdl.handle.net\/11329\/328" }, "contributor": [ { "@type": "Organization", "name": "WMO-JCOMM" } ], "keywords": [ "Ice", "Sea ice", "Vocabulary", "Terminology", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Atmosphere" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1659", "name": "Chlorophyll methods.", "description": " - Chlorophyll a is extracted in an acetone solution. Chlorophyll and phaeopigments are then measured fluorometrically using an acidification technique. - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1659", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1659", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1659", "url": "https:\/\/hdl.handle.net\/11329\/1659" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Chlorophyll determination", "Other organic chemical measurements", "fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/78", "name": "The Voluntary Observing Ships Scheme: a framework document. Revision 2.", "description": " - Ships of the World Meteorological Organization (WMO) Voluntary Observing Ship (VOS) scheme have always been an important component of the global observing system of the WMO, providing meteorological and oceanographic data essential to operational meteorology, maritime safety services, and a range of marine climatological applications. More recently, it has become clear that their observations can also be of critical importance to global climate studies. In view of this importance, and at the same time of the ongoing and increasing difficulties in VOS recruitment and maintenance, the WMO Commission for Marine Meteorology (CMM, now the Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology - JCOMM) Subgroup on the VOS recognized the value of adopting a guiding strategy or framework document for the VOS. This document would provide VOS operators with a global framework in which to develop and maintain their national VOS programmes, and at the same time help to sensitize user groups and organizations to the VOS scheme in general, its structure, operations and value. A first draft of this framework document was prepared by Mr Don Linforth (Australia), and reviewed by t he first session of the subgroup (Athens, March 1999). The document was revised, on the basis of comments received from participants, by Capt. Gordon Mackie (U.K.), and reviewed a final time by subgroup members. - , - ftp:\/\/ftp.wmo.int\/Documents\/PublicWeb\/amp\/mmop\/documents\/JCOMM-TR\/J-TR-4-VOS-Framework-Document\/JCOMM-TR-4-VOS-Framework-Document-REV1.pdf - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/78", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/78", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/78", "url": "https:\/\/hdl.handle.net\/11329\/78" }, "author": [ { "@type": "Person", "name": "Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology" } ], "contributor": [ { "@type": "Organization", "name": "Ship Observations Team" } ], "keywords": [ "Ship observation", "Voluntary observing ships" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/267", "name": "Manual for Real-Time Quality Control of Water Level Data: a Guide to Quality Control and Quality Assurance for Water Level Observations. Version 2.0. [SUPERSEDED BY DOI:http:\/\/dx.doi.org\/10.25607\/OBP-1043]", "description": " - The purpose of this manual is to provide guidance to the U.S. IOOS and the WL community at large for the real-time QC of WL measurements using an agreed-upon, documented, and implemented standard process. This manual is also a deliverable to the U.S. IOOS Regional Associations and the ocean observing community and represents a contribution to a collection of core variable QC documents. WL observations covered by these test procedures are collected in oceans and lakes in real time or near-real time. These tests are based on guidance from QARTOD workshops (QARTOD 2003-2009) and draw from existing expertise in programs such as the National Oceanic and Atmospheric Administration National Ocean Service (NOAA\/NOS) National Water Level Observation Network (NWLON), the University of Hawaii Sea Level Center, and the Global Sea Level Observing System (GLOSS). The Global Climate Observing System recognizes GLOSS as one of the international operational activities that provides essential sea level climate data. The GLOSS Global Core Network is comprised of 290 globally distributed sea level stations (GLOSS 2012). This manual differs from existing QC procedures for WL in that its focus is on real-time data. It presents a series of eleven tests that operators can incorporate into practices and procedures for QC of WL measurements. These tests apply only to the in-situ, real-time measurement of WL as observed by sensors deployed on fixed platforms and not to remotely sensed WL measurements (e.g., satellite observations). - , - NOAA - , - Published - , - Refereed - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/267", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/267", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/267", "url": "https:\/\/hdl.handle.net\/11329\/267" }, "contributor": [ { "@type": "Organization", "name": "U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Integrated Ocean Observing System" } ], "keywords": [ "Quality control", "Quality assurance", "QARTOD", "Water level", "IOOS", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::water level markers", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1891", "name": "Webenizing Condition Reports: Communicating Data-Driven Ecosystem Indicators in a Visually Engaging and Interactive Online Platform.", "description": " - The compilation and release of data-driven reports is one of the core functions of natural resource agencies and offices that support scientific investigations. Often, these reports contain data and synthesis related to an ecosystem\u2019s \u201cstate\u201d or the status and trends of driving forces and the related condition of ecological indicators. These reports are often data and text rich and may be difficult for non-technical audiences to interpret. Further, because these reports may take years to compile and finalize, the data presented may be outdated by the time they are published. Status and trend reports, such as condition reports released by the Office of National Marine Sanctuaries, may need to target a wide swath of technical and non-technical audiences as stakeholders with interests in a national marine sanctuary\u2019s resources. Here, we introduce the webenized condition report (WebCR) as a digital companion to the published technical condition report (and similar reports) for increasing stakeholder engagement and accessibility while fostering timely understanding of ecosystem status and trends. The WebCR, built using open-source software, combines artwork depicting ecosystems, habitats, species, and human uses with related, data-driven content in the form of figures containing static or interactive charts, maps, and accompanying captions. The intuitive visual navigation combined with timely updates using a free and reproducible back-end system means that data providers and end users all benefit from this novel framework. Through an iterative process combined with stakeholder engagement, the WebCR has been made to specifically target the needs of a broad audience, including resources managers, educators, academic researchers and the general public. The WebCR\u2019s design is fully realized across a range of habitats and ecosystems, and can be applied broadly to disparate use cases. Here we describe the motivation for the WebCR, elements of its framework, a suite of examples for reuse elsewhere, the WebCR for Channel Islands National Marine Sanctuary, and next steps in a development pathway - , - Published - , - To generate the content describe in the manuscript, we used a combination of markdown scripts (via the RStudio GUI) that included Rmarkdown, CSS, Java, Javascsript, and HTML. All content was managed using GitHub. - , - Current - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1891", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1891", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1891", "url": "https:\/\/hdl.handle.net\/11329\/1891" }, "author": [ { "@type": "Person", "name": "Spector, Pike" }, { "@type": "Person", "name": "Best, Ben" }, { "@type": "Person", "name": "Raganathan, Jai" }, { "@type": "Person", "name": "Murray, Tylar" }, { "@type": "Person", "name": "Brown, Jennifer" }, { "@type": "Person", "name": "Caldow, Chris" }, { "@type": "Person", "name": "Canonico, Gabrielle" }, { "@type": "Person", "name": "DeVogelaere, Andrew" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, Office of National Marine Sanctuaries" } ], "keywords": [ "Data sharing", "Report writing", "Resource management", "Environment", "Data visualization", "Data delivery" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2422", "name": "EuroSea Guide of communication and dissemination activities for enhanced visibility of innovation in ocean observing and forecasting for a sustainable ocean: EuroSea Deliverable D8.10.", "description": " - The purpose of this report is to provide a compilation of the communication and dissemination activities in EuroSea. It also proposes, as a guide, some guidelines and considerations to be included in the Communication and Dissemination Strategy in European projects. Dissemination and communication activities are essential for the success of the European Union\u2019s Horizon 2020 research and innovation Programme, and the EuroSea project is no exception. The project has focused on improving ocean observing and forecasting for a sustainable ocean, and effective communication has been a crucial element in bringing together the interest groups, ensuring all stakeholders are to work towards the common goal of sustainable, science-based ocean management, as well as promoting and fostering public understanding of the importance and value of the ocean and its crucial role in climate change. This document offers a summary of the consortium's activities carried out during the whole life of the project (November 2019 - October 2023) related to all EuroSea communication and dissemination tools (official website, social media, newsletter, press release), as well as materials generated for the project (visual identity, printed and audiovisual materials) and the events-based dissemination. Key considerations in planning and strategy include defining project objectives, identifying target audiences, crafting effective messages, and selecting appropriate communication channels and tools. Evaluation and adjustment are also vital to measure the effectiveness of communication and dissemination activities. Overall, this guide could serve as a resource for any team involved in communication and dissemination activities in projects from Horizon 2020. This information will be instrumental in enhancing future efforts, maximizing the impact of the activities and ensuring the success of the project. - , - European Union - , - Published - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2422", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2422", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2422", "url": "https:\/\/hdl.handle.net\/11329\/2422" }, "author": [ { "@type": "Person", "name": "Ortiz, Veronica" }, { "@type": "Person", "name": "Tintor\u00e9, Joaqu\u00edn" }, { "@type": "Person", "name": "Kostner, Nicole" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Communication", "Engagement", "Dissemination", "Exploitation", "Legacy", "Science communication", "EuroSea", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/854", "name": "Code of Practice for the Irish Shellfish Monitoring Programme (Biotoxins). Version 8.", "description": " - Irish shellfish are a wholesome quality product and it is important that the shellfish industry is supported by a robust monitoring programme. This helps to ensure that consumers, both in Ireland and in other countries, can have confidence that the Irish shellfish they are purchasing is a safe product and that it meets the required legal health standards. The Irish Shellfish Monitoring Programme includes two monitoring elements that contribute to consumer safety. This Code of Practice has been developed to cover biotoxin and phytoplankton monitoring. A separate Code of Practice for the Microbiological Monitoring of Bivalve Mollusc Production Areas is available on the SFPA website (www.sfpa.ie\/Seafood-Safety\/Shellfish\/Guidance-Documents). This Code of Practice has been developed by the Molluscan Shellfish Safety Committee (MSSC) through consultation with all stakeholders. It outlines how Ireland meets its obligations to protect consumers and comply with the requirements laid down in Irish and European legislation. The relevant food safety legislation is set out in Appendix 1. It is a legal principle of Irish and European Food Law that all food business operators (FBOs) bear the primary responsibility for the safety of any food placed on the market by them. Producers must ensure that harvesting only takes place in a production area when it is safe to do so. - , - Published - , - Refereed - , - Current - , - Phytoplankton biomass and diversity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/854", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/854", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/854", "url": "https:\/\/hdl.handle.net\/11329\/854" }, "contributor": [ { "@type": "Organization", "name": "Food Safety Authority of Ireland\/Marine Institute\/Sea-Fisheries Protection Authority" } ], "keywords": [ "Scallops", "Shellfish", "HAB", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1566", "name": "A Methodological Note for the Development of Integrated Aquaculture Production Models.", "description": " - Aquaculture production can yield significant economic, social, and environmental effects. These exceed the financial costs and benefits aquaculture producers are faced with. We propose a methodology for the development of integrated production models that allow for the inclusion of the socio-economic and environmental effects of aquaculture into the production management. The methodology develops on a Social Cost-Benefit Analysis context and it includes three parts: (i) environmental, that captures the interactions of aquaculture with the environment, (ii) economic, that makes provision for the incorporation of economic determinants in the production models and (iii) social, that introduces the social preferences to the production and management process. Alternatives to address data availability issues are also discussed. The methodology extends the assessment of the costs and benefits of aquaculture beyond pure financialmetrics and beyond the quantification of private costs and benefits. It can also support the development of integrated models of aquaculture production that take into consideration both the private and the social costs and benefits associated with externalities and effects not appropriately captured by market mechanisms. The methodology can support aquaculture management and policies targeting sustainable and efficient aquaculture production and financing from an economic, financial, social, and environmental point of view. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1566", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1566", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1566", "url": "https:\/\/hdl.handle.net\/11329\/1566" }, "author": [ { "@type": "Person", "name": "Tsani, Stella" }, { "@type": "Person", "name": "Koundouri, Phoebe" } ], "keywords": [ "Aquaculture", "Production model", "Socio-economic assessment", "Economic effects", "Environmental effects", "Bule growth", "Parameter Discipline::Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/953", "name": "Earth Microbiome Project (EMP) high throughput (HTP) DNA extraction protocol. Version 07112018.", "description": " - This protocol accompanies the following publication: Marotz, Clarisse, et al. \"DNA extraction for streamlined metagenomics of diverse environmental samples.\" BioTechniques 62.6 (2017):290-293 - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/953", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/953", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/953", "url": "https:\/\/hdl.handle.net\/11329\/953" }, "author": [ { "@type": "Person", "name": "Marotz, Lisa" }, { "@type": "Person", "name": "Schwartz, Tara" }, { "@type": "Person", "name": "Thompson, Luke" }, { "@type": "Person", "name": "Humphrey, Greg" }, { "@type": "Person", "name": "Gogul, Grant" }, { "@type": "Person", "name": "Gaffney, James" }, { "@type": "Person", "name": "Amir, Amnon" }, { "@type": "Person", "name": "Knigh, Rob" } ], "contributor": [ { "@type": "Organization", "name": "University of California, San Diego" } ], "keywords": [ "GLOMICON Network", "Parameter Discipline::Biological oceanography::Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1779", "name": "Final Report of the Inuit Bowhead Knowledge Study, Nunavut, Canada.", "description": " - As mandated by the Nunavut Land Claims Agreement of 1993, Inuit knowledge of bowhead whales in Nunavut, Canada was collected by means of 257 individual interviews with 252 Inuit hunters and elders in 18 communities during 1995 and 1996. During 1996 and 1997, follow-up workshops were held in eight of these communities where bowheads appear to be most numerous and seasonally predictable in their occurrence. The interviews and workshops were tape-recorded and were of an informal and semi-directive nature, with trained community interviewers and workshop facilitators employing questionnaires or an agenda consisting of open-ended questions or specific topics. We sought information from interviewees and workshop participants on bowhead whale distribution and migrations, changes in frequency of sightings and distribution since about 1915, behaviour and ecology, and the cultural and traditional importance of the bowhead whale to Inuit. Information on Inuit hunting and Euro-American commercial whaling of bowheads was also collected. We analysed the transcripts of 175 translated interviews and the eight workshops to produce a compendium of informants\u2019 quotations pertaining to 1) Population Ecology of Bowheads and 2) Cultural and Traditional Importance of Bowheads to Inuit. Quotations or parts thereof were then catalogued within a detailed topical framework comprising these two main topics. This topical framework of quotations formed the basis for further analysis and the structure of this report. Inuit testimony indicated that the number of bowhead whales seasonally occurring in the marine waters of Nunavut has increased significantly in recent decades, generally since the 1950s, 1960s, or 1970s, with the reported years and extent of increase varying among communities and among different informants from the same community. Informants documented the cultural and traditional importance of bowhead whales and whaling for the Inuit of Nunavut, and many argued on cultural and societal grounds for the renewal and re-vitalization of the bowhead hunt. - , - Nunavut Wildlife Management Board - , - Published - , - Refereed - , - Okoa havakhaotikakmata atokoyaovlotik Nunavutmi Nunataagotini Angigotini 1993-mi, Inuit elihimayait okoa akviit Nunavutmi, Kanata katitigivaktot emakak 257 inuknik apikhoivakmata ema okoa 252 Inuit angoniakpaktot okoalo inutokait ovani 18 inukaknini talvani 1995 ovanilo 1996-mi. Talvani 1996 ovanilo 1997-mi, naonaikhakhotik meetikpaktot eeni inukaknini homi akviit takoyaolikpaktot amigaitot ovalo homi taggiomiitpatut. Okoa apikhogamikik inuit ovalo meetikatigivlogit nippiliokpagait okaktot ovalo hokot piomayut inuit, ayoikhimayut apikhoikataktot inuknk ovalo meetiktitivaktot apikhoivlotik naliak inuit naonaikhakvigivlogit akviknik apikhoktait. Talvani kemilgoktavut inuit ehomayait okaotaitlo ema kanok homi takovakpat akviknik ovalo homiitpagiakhainik, ovalo homot ahinot takokhaolikpaktot ovalo amligaitot elihimayaovat 1915-mi, kanogilitpakpat ovalo amigaitigivat, ovalo elitkohikot ovalo pitkohikot atoktaovaktot akviit Inuknit. Naonaikhakvioyut Inuit angoniakpaktot ovallo Kablonat maniliokhotik akvikhiokpaktot naonaikhakvioyut titigaktaovlotik. Ovagut ehivgioktavut titigait 175 numiktikhimayut onipkangit inuit ova eengoyut meetiotit kanok naonaikhaktavut okoa 1) Kafffiovat Akviit ovalo 2) Elitkohikot ovalo Pitkohikot Hivitovat Akviit Inuknot. Inuit onipkangit titigaktaovaktot naiak naliak elait onipkangit titigaktot naonaitkotikhat okoa malgok ehomagiyaoyuk titigaktot. Ona onipkak titigak naonaitkotaoniaktok kanok kakogo ehivgiofagotikhat ovalo kanok titigakhimaniaktok. Inuit onipkaktait tohakhaoliktot kaffit akviit takokhoavaktot taggiomi hamani Nunavut amigaikpaliayungok taya, hamani taya 1950-ni, 1960- ni, naliak 1970-ni, okoa onipkaktaovaktot okioni ovalo akviingok amigailigonakhigamik takokhaokataliktot nunani inukaknit haniani. Inuit onipkangit titigaktaoyut atokpagait elitkohimigot ovalo pitkohimigut akviit atokpagait nikikhat ovalo akvikhiokpagiantini inuit Nunavutmi, ovalo inuit atoktotokagigamikik akviit atogoilimaitait ovalo akvikhiokpaligiangitni inuit - , - Current - , - 14.a - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1779", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1779", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1779", "url": "https:\/\/hdl.handle.net\/11329\/1779" }, "author": [ { "@type": "Person", "name": "Hay, Keith" }, { "@type": "Person", "name": "Aglukark, David" }, { "@type": "Person", "name": "Igutsaq, David" }, { "@type": "Person", "name": "Ikkidluak, Joannie" }, { "@type": "Person", "name": "Mike, Meeka" } ], "contributor": [ { "@type": "Organization", "name": "Nunavut Wildlife Management Board" } ], "keywords": [ "Inuit", "Indigenous communites", "Traditional knowledge", "Marine mammals", "Bowhead whale", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1100", "name": "DBCP drifting buoys DAC data processing chain, Version 1.0.", "description": " - The Coriolis DAC drifting buoys data processing chain decodes, processes, formats and performs quality control on drifters data. The attached manual describes how to install, configure and use the Coriolis Python decoder used to process Drifting buoys data and metadata. The main function of the decoder is to format the drifter data (drifter metadata, drifter measurements, drifter technical data) into a unique Drifter NetCDF CF file. The decoder applies Real Time Quality Control (RTQC) tests on the Drifting buoys data file. It manages both Argos or Iridium messages. The drifter decoder is used through the IridiumSbdDrifterDecoder.py or the ArgosDrifterDecoder.py programs. It generates an JSON report of the processing done and is designed to be used in a Data Assembly Center (DAC) real time flux. - , - Contributors: Thierry Carval , Vincent Fachero, Paul Poli, Christophe Billon - , - 14 - , - Sea surface temperature - , - Subsurface temperature - , - Surface currents - , - Subsurface currents - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1100", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1100", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1100", "url": "https:\/\/hdl.handle.net\/11329\/1100" }, "contributor": [ { "@type": "Organization", "name": "Seanoe" } ], "keywords": [ "Air temperature", "Atmospheric pressure", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Physical oceanography::Waves", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2083", "name": "Designing a Large Scale Autonomous Observing Network: A Set Theory Approach.", "description": " - A well designed observing network is vital to improve our understanding of the oceans and to obtain better predictions of the future. As autonomous marine technology develops, the potential for deploying large autonomous observing systems becomes feasible. Though there are many design considerations to take into account (according to the target data use cases), a fundamental requirement is to take observations that capture the variability at the appropriate length scales. In doing so, a balance must be struck between the limited observation resources available and how well they are able to represent different areas of the ocean. In this paper we present and evaluate a new method to aid decision makers in designing near-optimal observing networks. The method uses ideas from set theory to recommend an irregular network of observations which provides a guaranteed level of representation (correlation) across a domain. We show that our method places more observations in areas with smaller characteristic length scales and vice versa, as desired. We compare the method to two other grid types: regular and randomly allocated observation locations. Our new method is able to provide comparable average representation of data across the domain, whilst efficiently targeting resource to regions with shorter length scale and thereby elevating the minimum skill baseline, compared to the other two grid types. The method is also able to provide a network that represents up to 15% more of the domain area. Assessing error metrics such as Root Mean Square Error and correlation shows that our method is able to reconstruct data more consistently across all length scales, especially at smaller scales where we see RMSE 2-3 times lower and correlations of over 0.2 higher. We provide an additional discussion on the variability inherent in such methods as well as practical advice for the user. We show that considerations must be made based on time filtering, seasonality, depth and horizontal resolution. - , - Refereed - , - 14.a - , - Concept - , - 2022-06-22 - , - Novel (no adoption outside originators) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2083", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2083", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2083", "url": "https:\/\/hdl.handle.net\/11329\/2083" }, "author": [ { "@type": "Person", "name": "Byrne, David" }, { "@type": "Person", "name": "Polton, Jeff" }, { "@type": "Person", "name": "Ribeiro, Joseph" }, { "@type": "Person", "name": "Fernand, Liam" }, { "@type": "Person", "name": "Holt, Jason" } ], "keywords": [ "Observing networks", "Greedy algorithm", "Observing system design", "Set cover approach", "Physical oceanography", "Data archival\/stewardship\/curation", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/986", "name": "OGC Web Services Security.", "description": " - Information Assurance (IA)[1] Controls for OGC Web Services (OWS) have been implemented for years. However, these implementations break interoperability, as they are not standardized by OGC Web Service standards. Interoperability between secured OGC Web Services and clients is limited to systems custom built to work with an IA implementation. The goal of the OWS Common Security Standard is to allow the implementation of IA controls and to advertise their existence in an interoperable way with minimal impact to existing implementations using a backwards-compatible approach. That goal is being pursued in two ways: Identify and document IA Controls for supporting authentication in a register maintained through the OGC. Specify how a service can advertise their IA controls through the Service Capabilities Document. This OGC standard applies to OWS deployed on HTTPS. It specifies how conformant OWS Services shall advertise their IA Controls and additional security features. The advertisement uses XML elements that are already part of the Capabilities document structure. This ensures that existing client implementations will not break. The standard also describes the governance process for the IA Control registers, examples of register contents, and descriptions on how this information should be used. Next, this standard defines conformance classes and requirements classes to be used for reaching compliance and their validation via conformance tests. Finally, this standard defines client behavior to ensure interoperable processing of advertised security controls. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/986", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/986", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/986", "url": "https:\/\/hdl.handle.net\/11329\/986" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1618", "name": "Ocean climate monitoring.", "description": " - Measuring ocean physics and atmospheric conditions at the sea-surface has been taking place for decades in our world\u2019s oceans. Enhancing R&D technologies developed in Federal and academic institutions and laboratories such as WHOI\u2019s Vector Averaging Current Meter (VACM, 1970s) and NOAA \u2013 PMEL\u2019s: Autonomous Temperature Line Acquisition System (ATLAS, 1980s) as example, in situ ocean measurements and realtime telemetry for data processing and dissemination from remote areas of oceans and seas are now common place. A transition of this \u201cocean monitoring\u201d technology has occurred with additional support from individual and group innovative efforts in the field of ocean instrumentation. As a result, long-term monitoring of ocean processes and changes has become more accessible to the research community at large. Here; we discuss a \u201cHybrid\u201d air-sea interaction deep-sea monitoring system that has been developed in the private sector to mirror ocean-climate community data streams and has been successfully deployed on three basin-scaled programs in the Indian Ocean (RAMA, First Institute of Oceanography, FIO, China), the Andaman Sea (MOMSEI, Monsoon Onset Monitoring, FIO) and the Pacific Ocean (China\u2019s Institute of Oceanology, Academy of Sciences (IOCAS) research in the western tropical Pacific). This application is a base to build upon as new sensors are developed and increased sampling at higher resolutions is required. Surface vehicles measure the surface, with some profiling available. Water column density sampling is still a much-needed measurement within the Ocean Climate Monitoring community. The \u201cHybrid\u201d is a multidisciplinary tool to integrate new biological and biogeochemical sensors for continued interaction studies of the physical processes of our oceans. This application can also be used at FLUX sites to enhance the Argo Program, telemetry applications and docking stations for autonomous vehicles such as sail-drones, gliders and wave riders for enhancement and contribution to the Global Tropical Moored Buoy Array (GTMBA), Global Ocean Observing System (GOOS), Global Climate Observing System (GCOS), and the Global Earth Observing System of Systems (GEOS). - , - Refereed - , - N\/A - , - Mature - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1618", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1618", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1618", "url": "https:\/\/hdl.handle.net\/11329\/1618" }, "author": [ { "@type": "Person", "name": "Cole, Rick" }, { "@type": "Person", "name": "Kinder, Jeff" }, { "@type": "Person", "name": "Yu, Weidong" }, { "@type": "Person", "name": "Ning, Chun Lin" }, { "@type": "Person", "name": "Wang, Fujun" }, { "@type": "Person", "name": "Chao, Yang" } ], "keywords": [ "Density", "Carbon dioxide", "Ocean temperature", "Current measurement", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1325", "name": "Protocol for IMOS microbial sample collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) biogeochemical water sampling procedures \u2013 Protocol for IMOS microbial sample collection. (2.54 mins) - , - Published - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1325", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1325", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1325", "url": "https:\/\/hdl.handle.net\/11329\/1325" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Biogeochemical water sampling", "Water sampling", "Training course", "Training video", "Protocols", "Microbial sample", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::Biological and biogeochemical models" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/757", "name": "Algal biomass pretreatment in Seawater Reverse Osmosis.", "description": " - Harmful algal blooms (HABs) can result in a substantial increase in the organic and solids load in the seawater feed to be treated at a desalination plant. In this chapter, the removal of this material is addressed in the context of the multi-barrier treatment process for seawater reverse osmosis (SWRO) as presented in Chapter 8 on risk management for HAB events. While this chapter covers removal of non-toxic material, Chapter 10 builds upon these principles and discusses the mechanisms and effectiveness for each barrier with respect to toxin removal. This chapter covers only the main barriers used in the SWRO desalination plants for HAB bloom risk mitigation, though the authors acknowledge that other niche treatment barriers exist in SWRO systems. The treatment processes discussed here are chlorination and dechlorination, dissolved air flotation (DAF), granular media filtration (GMF), microscreens for microfiltration\/ultrafiltration (MF\/UF), MF\/UF itself, cartridge filtration and SWRO. Coagulation is discussed in general terms and then more specifically for DAF, GMF, and MF\/UF pretreatments. Each treatment process is broken down into a discussion of how the process works and then how HAB cells affect the process operation. Importantly, the chapter deals with how upstream actions can detrimentally affect downstream treatment processes with respect to algal blooms. In particular, this chapter discusses removal mechanisms for algal organic matter (AOM) and how operational actions can prevent detrimental effects of AOM. As discussed in Chapter 2, the chemical composition of AOM usually includes proteins, polysaccharides, nucleic acids, lipids, and other dissolved organic substances. AOM compounds typically cover a wide size spectrum, ranging from less than 1 nm to more than 1 mm. Based on their size cut-off, GMF and MF\/UF are expected to remove only part of high molecular weight AOM (as shown in Chapter 2, Figure 2.2). SWRO is expected to achieve complete removal of AOM, but will suffer from fouling issues if AOM is not removed upstream - , - Published - , - Refereed - , - Current - , - 14.1 - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/757", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/757", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/757", "url": "https:\/\/hdl.handle.net\/11329\/757" }, "author": [ { "@type": "Person", "name": "Dixon, Mike B." }, { "@type": "Person", "name": "Boerlage, Siobhan F.E." }, { "@type": "Person", "name": "Voutchkov, Nikolay" }, { "@type": "Person", "name": "Henderson, Rita" }, { "@type": "Person", "name": "Wilf, Mark" }, { "@type": "Person", "name": "Zhu, Ivan" }, { "@type": "Person", "name": "Assiyeh Alizadeh Tabatabai, S." }, { "@type": "Person", "name": "Amato, Tony" }, { "@type": "Person", "name": "Resosudarmo, Adhikara" }, { "@type": "Person", "name": "Pearce, Graeme K." }, { "@type": "Person", "name": "Kennedy, Maria" }, { "@type": "Person", "name": "Schippers, Jan C." }, { "@type": "Person", "name": "Winters, Harvey" } ], "contributor": [ { "@type": "Organization", "name": "Intergovernmental Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1172", "name": "Good enough practices in scientific computing.", "description": " - Computers are now essential in all branches of science, but most researchers are never taught the equivalent of basic lab skills for research computing. As a result, data can get lost, analyses can take much longer than necessary, and researchers are limited in how effectively they can work with software and data. Computing workflows need to follow the same practices as lab projects and notebooks, with organized data, documented steps, and the project structured for reproducibility, but researchers new to computing often don't know where to start. This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill. These practices, which encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts, are drawn from a wide variety of published sources from our daily lives and from our work with volunteer organizations that have delivered workshops to over 11,000 people since 2010. - , - Refereed - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1172", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1172", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1172", "url": "https:\/\/hdl.handle.net\/11329\/1172" }, "author": [ { "@type": "Person", "name": "Wilson, Greg" }, { "@type": "Person", "name": "Bryan, Jennifer" }, { "@type": "Person", "name": "Cranston, Karen" }, { "@type": "Person", "name": "Kitzes, Justin" }, { "@type": "Person", "name": "Nederbragt, Lex" }, { "@type": "Person", "name": "Teal, Tracy" } ], "keywords": [ "Scientific computing", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2346", "name": "Alignment of Polar Data Policies: Recommended Principles.", "description": " - This document presents a basis for alignment of polar data policies, notably the policies and statements of the Scientific Committee on Antarctic Research (SCAR), the International Arctic Science Committee (IASC), the Sustaining Arctic Observing Networks (SAON) initiative, the Arctic Spatial Data Infrastructure, and the Southern Ocean Observing System (SOOS). The document examines the state and recent developments of global and important regional data policies, as well as technological and institutional developments that should or might be considered when forming new polar data policies. Based on this examination, we conclude by identifying a number of data management principles that can be regarded as essential to the management of polar research data and can be incorporated in all polar data policies in such a way that they are aligned with each other and with overarching global and regional data policies. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2346", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2346", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2346", "url": "https:\/\/hdl.handle.net\/11329\/2346" }, "author": [ { "@type": "Person", "name": "Tronstad, Stein" }, { "@type": "Person", "name": "Bricher, Pip" }, { "@type": "Person", "name": "Kool, Johnathan" }, { "@type": "Person", "name": "Pulsifer, Peter" }, { "@type": "Person", "name": "Van de Putte, Anton" }, { "@type": "Person", "name": "Larsen, Jan Rene" }, { "@type": "Person", "name": "Peat, Helen" }, { "@type": "Person", "name": "Rayner, David" }, { "@type": "Person", "name": "De Bruin, Taco" }, { "@type": "Person", "name": "Tacoma, Marten" }, { "@type": "Person", "name": "Thomas, Jen" }, { "@type": "Person", "name": "Nitsche, Frank" }, { "@type": "Person", "name": "Samy, V.S." }, { "@type": "Person", "name": "Ignatiuk, Dariusz" }, { "@type": "Person", "name": "Buch, Erik" }, { "@type": "Person", "name": "Treasure, Anne" }, { "@type": "Person", "name": "Pers\u00e4ter, Fredrik" }, { "@type": "Person", "name": "Riopel, Simon" }, { "@type": "Person", "name": "Pouplier, Peter" }, { "@type": "Person", "name": "Eicken, Hajo" } ], "contributor": [ { "@type": "Organization", "name": "Norwegian Polar Institute" } ], "keywords": [ "Cross-discipline", "Data archival\/stewardship\/curation", "Data policy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2578", "name": "User\u2019s Manual: NOC LOC Dual Nutrient (Silicate \/ phosphate) Sensor. Version 1.", "description": " - The NOC LOC Dual Nutrient sensor is a microfluidic sensor capable of measuring two nutrients. A series of pumps and valves move chemical reagents and mix these with external samples and standardsThis manual describes the basic operation of the NOC LOC dual nutrient silicate and phosphate sensor. It covers the operation and use of the instrument and procedures that should be followed during a deployment. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - Nutrients - , - Mature - , - Multi-organisational - , - Nutrients - , - Lab on chip (LOC) sensors, NOC - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2578", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2578", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2578", "url": "https:\/\/hdl.handle.net\/11329\/2578" }, "author": [ { "@type": "Person", "name": "Hanz, R." }, { "@type": "Person", "name": "Patey, M.D." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Silicate sensor", "Phosphate sensor", "Nutrients", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/432", "name": "Best practices for autonomous measurement of seawater pH with the Honeywell Durafet.", "description": " - Performance of autonomous pH sensors is evaluated by comparing in situ data to independent bench-top measurements of pH and to co-located pH, O2, and pCO2 sensors. While the best practice is always to deploy a properly calibrated sensor, the lengthy time period required for sensor conditioning and calibration often results in sensor deployment without comprehensive calibration. Quality control (QC) procedures are examined to determine the errors associated with different in situ calibration approaches and lay a framework for best practices. Sensor packages employing the Honeywell Durafet remained stable across multiple deployments for over nine months. However, sensor performance was often limited by biofouling. Regional empirical relationships for estimating carbonate system parameters are shown to enable identification of otherwise indistinguishable sensor offset and drift when multiple sensor types are co-located. Uncertainty is determined by calibration approach and must be quantified on a case-by-case basis. Our results indicate that the Durafet is capable of accuracy, relative to a chosen reference, of better than 0.03 pH units over multiple months. Accuracy is improved when a robust shore-side calibration is performed, an independent means of QC is available throughout a deployment, and effective biofouling prevention measures are taken. - , - Refereed - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/432", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/432", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/432", "url": "https:\/\/hdl.handle.net\/11329\/432" }, "author": [ { "@type": "Person", "name": "Bresnahan Jr., Philip J." }, { "@type": "Person", "name": "Martz, Todd R." }, { "@type": "Person", "name": "Takeshita, Yuichiroa" }, { "@type": "Person", "name": "Johnson, Kenneth S" } ], "keywords": [ "pH", "Ocean acidification", "ISFET", "Autonomous sensors", "Calibration", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2114.3", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: May 2021 to July 2022. Version 2.0.", "description": " - The East Australian Current (EAC) is a complex and highly energetic western boundary system in the south-western Pacific off eastern Australia. It provides both the western boundary of the South Pacific gyre and the linking element between the Pacific and Indian Ocean gyres. The EAC deepwater moorings consisted of an array of full-depth current meter and property (CTD) moorings from the continental slope to the abyssal waters off Brisbane (27S). This report details the quality control applied to the data collected from the EAC array (deployed from May, 2021 to July, 2022). The quality controlled datasets are publicly available via the AODN Data Portal. The data should be used in conjunction with this report. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - N\/A - , - N\/A - , - N\/A - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2114.3", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2114.3", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2114.3", "url": "https:\/\/hdl.handle.net\/11329\/2114.3" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Currents", "Water column temperature and salinity", "current profilers", "current meters", "salinity sensor", "water temperature sensor", "Data quality control", "Data acquisition", "Data processing", "Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1624", "name": "Methodology for Monitoring Marine Litter on Beaches: Macro-Debris (>2.5cm).", "description": " - The following methodology has been prepared based on the EU MSFD TG10 \u201cGuidance on Monitoring of Marine Litter in European Seas (2013)\u201d, the OSPAR \u201cGuideline for Monitoring Marine Litter on the Beaches in the OSPAR Maritime Area (2010)\u201d and the NOOA \u201cMarine Debris Monitoring and Assessment: Recommendations for Monitoring Debris Trends in the Marine Environment (2013), taking into consideration the draft \u201cUNEP\/MAP MEDPOL Monitoring Guidance Document on Ecological Objective 10: Marine Litter (2014)\u201d. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.1 - , - N\/A - , - Mature - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1624", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1624", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1624", "url": "https:\/\/hdl.handle.net\/11329\/1624" }, "author": [ { "@type": "Person", "name": "Vlachogianni, Thomais" } ], "contributor": [ { "@type": "Organization", "name": "MIO-ECSDE, DeFishGear" } ], "keywords": [ "Marine debris", "Marine litter", "Beach litter", "Marine plastics", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1945", "name": "Arctic Policies and Strategies \u2014 Analysis, Synthesis, and Trends.", "description": " - The scientific report Arctic Policies and Strategies \u2013 Analysis, Synthesis and Trends delivers a holistic analysis of the policies, strategies, and declarations of the relevant Arctic stakeholders. It also includes new and\/or emerging trends of Arctic governance and geopolitics in the early 21st century. The analysis, using quantitative and qualitative methods, is based on a coding of the text of 56 policy documents (in 1996-2019), namely: i) the strategies and policies of the Arctic States and the Arctic Council Observer States; ii) the policies and declarations of the Arctic Indigenous peoples\u2019 organizations (Permanent Participants); and iii) the main Arctic Council chairmanship programs and ministerial declarations. It considers how different Arctic actors define and address issues around the following: the human dimension, governance, international cooperation, environmental protection, pollution, climate change, security, safety, economy, tourism, infrastructure, and science & education. Each document was read and analyzed thoroughly; quotes were selected and coded and then used to compare and contrast (percentage-wise) how the different documents address the above issues. For each category of stakeholder, the findings are compared within the category and then discussed with each other category-wise. Our study shows that the most-coded quotes of the Arctic States\u2019 policy documents relate to the Governance, Economy, International Cooperation, and Human Dimension indicators, as well as to a new Environmental Protection indicator (composed of Environmental Protection coupled with Pollution and Climate Change). The policy documents of the four Indigenous peoples\u2019 organizations explicitly address issues surrounding Indigenous rights, although in different contexts, and also those related to the Governance indicator, both broadly and in detail. Unsurprisingly, all these documents emphasize the importance of \u2018Traditional knowledge.\u2019 The most-quoted indicator in the Arctic policies\/strategies of the nine Arctic Council Observer states is the Science and Education indicator, followed by the International Cooperation and Economy indicators. The fourth most-quoted is the new Environmental Protection indicator (composed of Environmental Protection coupled with Pollution and Climate Change). The analyses generated a separate list of new\/emerging trends for each stakeholder, summarizing the current main themes and concluding trends. Based on these, there here follows a short list of the overall new and\/or emerging trends of the future of Arctic governance and geopolitics: i) Ambivalence of Arctic development, including \u2018political inability,\u2019 whenever a balance is sought between environmental protection and economic activities; ii) The domination of States within the Arctic territory due to geopolitical stability and sovereignty vis-\u00e0-vis internationalization\/globalization, and due to international treaties and self-determination; iii) Focus on science, with all Arctic stakeholders being dependent on scientific research and international cooperation in science for problem-solving due to climate change; and iv) Close interrelationship between the Arctic and Space (e.g., digital security, satellites, meteorology) due to globalization and rapidly advancing climate change in the Arctic. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1945", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1945", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1945", "url": "https:\/\/hdl.handle.net\/11329\/1945" }, "author": [ { "@type": "Person", "name": "Heininen, Lassi" }, { "@type": "Person", "name": "Everett, Karen" }, { "@type": "Person", "name": "Padrtova, Barbora" }, { "@type": "Person", "name": "Reissell, Anni" } ], "contributor": [ { "@type": "Organization", "name": "International Institute for Applied Systems Analysis" } ], "keywords": [ "Arctic Council Observer States", "Governance", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2398", "name": "Culturing and microscopy techniques for the analysis of phytoplankton diversity_2023.", "description": " - Phytoplankton comprises a range of very different organism from tiny and almost featureless picoplankton taxa to large diatoms and dinoflagellates nearing 1 mm in diameter. They essentially form the base of the food web and therefore a detailed knowledge of this diverse group of organisms is vital for developing an understanding of marine communities and their interactions with their environment and with each other. Unfortunately, the diversity of methods available for the quantitative and qualitative analysis is almost as diverse as the phytoplankton itself. This course will take you through the most important methodologies for quantitative and qualitative (non-molecular) biodiversity assessments of phytoplankton. - , - 14.a - , - Phytoplankton biomass and diversity - , - Mature - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2398", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2398", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2398", "url": "https:\/\/hdl.handle.net\/11329\/2398" }, "keywords": [ "Biodiversity", "Phytoplankton", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2021", "name": "Guidelines on transboundary MSP output data structure in the Baltic Sea.", "description": " - The goal of these Guidelines on transboundary maritime spatial planning (MSP) output data structure (Guidelines) is to facilitate data availability and coherence of MSP, as well as transboundary cooperation under national\/regional MSP consultations. Specifically, the Guidelines set out technical requirements (data specification) for the interoperability and harmonization of spatial data sets corresponding to the transboundary\/cross-border maritime spatial planning output data (MSP output data). Directive 2014\/89\/EU of the European Parliament and of the Council of 23 July 2014 establishing a framework for MSP introduced an obligation to develop maritime spatial plans which are coherent and coordinated across the marine region concerned. In this regard Member States shall organize the use of the best available data, and decide how to organize the sharing of information, necessary for maritime spatial plans. The Regional Baltic MSP Roadmap 2013-2020 indicates the necessary steps to fulfill the goal of drawing up and applying maritime spatial plans throughout the Baltic Sea region by 2020 which are coherent across borders and apply the ecosystem approach. Additionally, it requires the promotion of the creation and sharing of MSP relevant Baltic Sea regional data sets. In order to facilitate coherent MSP process, the Guidelines on transboundary consultations, public participation and co-operation (elaborated by the joint HELCOM-VASAB MSP Working Group (HELCOM-VASAB MSP WG)) emphasizes the need for transboundary consultations at the early stage to avoid costly misalignments and negative environmental impacts, as well as promoting efficiency gains and synergies. MSP Data could be grouped into two categories: \u2022 Input data - data, information or evidence that is used for preparation a maritime spatial plan, such as environmental data, information about existing sea uses, social economic data, as well as other maritime spatial plans. \u2022 Output data - outcome of maritime spatial plan (alignments and preconditions for possible sea-use in the future). Planned sea uses are regulated by spatial planning documents elaborated at various levels of administration, defined by responsible authorities. Sea use regulation over a geographical area could be, for example, composed of the following elements: \u2022 An overall strategic orientation that describes the development will of the competent administrative authority which is a textual document, \u2022 A textual regulation that determines the planned sea use, \u2022 A cartographic representation composed of elements regulated by spatial planning documents. These Guidelines focus on standards for spatial data sets used for cartographic representation of future sea use for two types of the MSP Output data: 1) Maritime spatial plan area and 2) Planned sea uses. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2021", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2021", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2021", "url": "https:\/\/hdl.handle.net\/11329\/2021" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Marine spatial planning (MSP)", "Data structure", "Cross-discipline", "Data interoperability development", "Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2325", "name": "Designing Monitoring Programs for Marine Protected Areas Within an Evidence Based Decision Making Paradigm.", "description": " - The Evidence Based Decision Making (EBDM) paradigm encourages managers to base their decisions on the strongest available evidence, but it has been criticized for placing too much emphasis on the choice of study design method without considering the types of questions that are being addressed as well as other relevant factors such as how well a study is implemented. Here we review the objectives of Australia\u2019s Marine Park network, and identify the types of questions and data analysis that would address these objectives. Critically, we consider how the design of a monitoring program influences our ability to adequately answer these questions, using the strength of evidence hierarchy from the EBDM paradigm to assess the adequacy of different design strategies and other sources of information. It is important for conservation managers to recognize that the types of questions monitoring programs are able to answer depends on how they are designed and how the collected data are analyzed. The socio-political process that dictates where protected areas are placed typically excludes the strongest types of evidence, Random Controlled Trials (RCTs), for certain questions. Evidence bases that are stronger than ones commonly employed to date, however, could be used to provide a causal inference, including for those questions where RCTs are excluded, but only if appropriate designs such as cohort or case-control studies are used, and supported where relevant by appropriate sample frames. Randomized, spatially balanced sampling, together with careful selection of control sites, and more extensive use of propensity scores and structured elicitation of expert judgment, are also practical ways to improve the evidence base for answering the questions that underlie marine park objectives and motivate long-term monitoring programs. - , - Refereed - , - 14.2 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2325", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2325", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2325", "url": "https:\/\/hdl.handle.net\/11329\/2325" }, "author": [ { "@type": "Person", "name": "Hayes, Keith R." }, { "@type": "Person", "name": "Hosack, Geoffrey R." }, { "@type": "Person", "name": "Lawrence, Emma" }, { "@type": "Person", "name": "Hedge, Paul" }, { "@type": "Person", "name": "Barrett, Neville S." }, { "@type": "Person", "name": "Barrett, Neville S." }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Caley, M. Julian" }, { "@type": "Person", "name": "Foster, Scott D." } ], "keywords": [ "Marine protected areas (MPA)", "Design methodology", "Evidence Based Decision Making (EBDM)", "Marine parks", "Human activity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1271", "name": "Golden Tides: Management Best Practices for Influxes of Sargassum in the Caribbean with a Focus on Clean-up.", "description": " - The purpose of this management brief is to enable government officials, coastal managers, beach caretakers and coastal residents to get ahead of the \u201cgolden tides\u201d by providing up-to-date information on the recent \u2018sargassum influxes\u2019 (arrival of unprecedented mass quantities of sargassum seaweed) in the Caribbean region; and, importantly, by offering guidance on how best to sustainably manage the seaweed, based on lessons learnt to date. This first brief focuses on the immediate problem of clean-up, after mass strandings of the weed. Others will be developed that focus on potential commercial uses of the weed and on adaptation measures suitable for fishers and other vessel operators. This is all part of the on-going efforts by The University of the West Indies and a number of other institutions in the Wider Caribbean to actively research and understand this new phenomenon and develop solutions. In 2011, the shores of several Caribbean islands and West African countries were inundated by unprecedented quantities of pelagic sargassum. Since then, influxes of this golden-brown seaweed have become a recurrent event in both the Caribbean Sea and West Africa, with observers in these regions reporting levels reaching a critical high in 2015. These influxes have given rise to a number of serious socio-ecological and economic concerns, particularly in the hospitality and fisheries sectors. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1271", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1271", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1271", "url": "https:\/\/hdl.handle.net\/11329\/1271" }, "author": [ { "@type": "Person", "name": "Hinds, Catrina" }, { "@type": "Person", "name": "Oxenford, Hazel" }, { "@type": "Person", "name": "Cumberbatch, Janice" }, { "@type": "Person", "name": "Fardin, Fr\u00e9d\u00e9rique" }, { "@type": "Person", "name": "Doyle, Emma" }, { "@type": "Person", "name": "Cashman, Adrian" } ], "contributor": [ { "@type": "Organization", "name": "Centre for Resource Management and Environmental Studies (CERMES), The University of the West Indies, Cave Hill Campus" } ], "keywords": [ "Sargassum", "Seaweed", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/171", "name": "Guide to operational procedures for the collection and exchange of oceanographic data (BATHY and TESAC). Revised edition 1984 [SUPERCEDED].", "description": " - All nations are profoundly influenced by the world oceans in many ways - some direct and obvious, others indirect and more subtle. Even those countries without ocean coastline feel the influence of the ocean, for example, as it affects world-wide weather and climate and In the availability of foreign goods and access to distant markets. Some influences of the ocean are benefitial; others may be detrimental to human activities ; most are beyond our ability to control, except in very limited ways, but, forewarned with a knowledge of the state of the ocean and even a limited prediction of future trends, it may often be possible to maximize the beneficial effects and to avoid or guard effectively against those which could be detrimental. The Integrated Global Ocean Services System (IGOSS) was conceived as a eans to collect and, exchange oceanic data in such a form that they can be readily interpreted and applied to practical problems. Data in various forms may be gathered from many sources, It is necessary to properly encode and route these data to processing centers using proper quality control procedures. It is then possible to prepare products which summarize and\/or interpret the data in ways which are meaninful and useful to users, Finally, the products are distributed to users and the data are stored or \"archived\" for future use, The IGOSS system has been designed to carry out these functions in co-operation with other international agencies. - , - Superseded by : Guide to Operational Procedures for the collection and exchange of JCOMM Oceanographic Data IOC Manuals and Guides No. 3 (3rd Rev. Ed.). 1988 and later 1999 Guide to operational procedures for the collection and exchange of JCOMM oceanographic data - , - Published - , - data routing, data storage, data exchange, BATHY, TESAC - , - Obsolete - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/171", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/171", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/171", "url": "https:\/\/hdl.handle.net\/11329\/171" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Oceanography", "Current measurement", "Current data", "Current measuring equipment", "Salinity", "Salinity data", "Salinity measuring equipment", "Salinity measurement", "Temperature data", "Temperature measurement", "Temperature gradients", "Subsurface currents", "Subsurface water", "Surface salinity", "Surface temperature", "Salinity", "Subsurface water" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/928", "name": "In situ quantification of ultra-low O2 concentrations in oxygen minimum zones: Application of novel optodes.", "description": " - Conventional sensors for the quantification of O2 availability in aquatic environments typically have limits of detection (LOD) of \u2009>\u20091 \u03bcmol L\u22121 and do not have sufficient resolution to reliably measure concentrations in strongly O2 depleted environments. We present a novel trace optical sensor based on the palladium(II)\u2010benzoporphyrin luminophore, immobilized in a perfluorinated matrix with high O2 permeability. The trace sensor has a detection limit of \u223c5 nmol L\u22121 with a dynamic range extending up to \u223c2 \u03bcmol L\u22121. The sensor demonstrates a response time\u2009<\u200930 s and a small, predictable, and fully reversible response to hydrostatic pressure and temperature. The sensor showed excellent stability for continuously measurements during depth profiling in Oxygen Minimum Zones (OMZ). The novel sensor was deployed in situ using a Trace Oxygen Profiler instrument (TOP) equipped with two additional O2 optical sensors, with higher dynamic range, allowing, when combined, measurements of O2 concentration from \u223c5 nmol L\u22121 to 1000 \u03bcmol L\u22121 with a single instrument. The TOP instrument was deployed in the OMZ regions of the Eastern Tropical North Pacific (ETNP) and Bay of Bengal (BoB). The measurements demonstrated that O2 concentrations in the ETNP generally were below the LOD of the trace sensor, but that large sub\u2010micromolar O2 intrusions, spanning 60\u201380 m with maximum O2 concentrations above 50 nmol L\u22121, could be observed in the OMZ core. The O2 concentrations in the BoB were high compared to the ETNP and rarely decreased below 50 nmol L\u22121, but demonstrated tremendous small\u2010scale variability. - , - Refereed - , - Oxygen - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/928", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/928", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/928", "url": "https:\/\/hdl.handle.net\/11329\/928" }, "author": [ { "@type": "Person", "name": "Larsen, M." }, { "@type": "Person", "name": "Lehner, P." }, { "@type": "Person", "name": "Borisov, S.M." }, { "@type": "Person", "name": "Klimant, I." }, { "@type": "Person", "name": "Fischer, J.P." }, { "@type": "Person", "name": "Stewart, F.J." }, { "@type": "Person", "name": "Canfield, D.E." }, { "@type": "Person", "name": "Glud, R.N." } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2617", "name": "Protocol for Spectrophotometric Total pH Measurement. [Training Video]", "description": " - This 6-minute instructional video demonstrates the laboratory protocol for spectrophotometric measurement of total pH (pHT<\/sub>) in seawater. The procedure is carried out at the IFREMER metrology laboratory and follows internationally recognized best practices for pH determination using indicator dyes, UV-VIS spectrophotometry, and precise temperature control. This protocol supports traceable, high-accuracy ocean acidification monitoring and contributes to the objectives of SDG 14.3.1 and the MINKE project. The video serves as both a methodological reference and a training tool for marine scientists and technicians. - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Current - , - 14.3 - , - Pilot or Demonstrated - , - Organisational - , - Multi-organisational - , - Method - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2617", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2617", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2617", "url": "https:\/\/hdl.handle.net\/11329\/2617" }, "author": [ { "@type": "Person", "name": "Lesbats, St\u00e9phane" }, { "@type": "Person", "name": "Lemand\u00e9, Nolwenn" }, { "@type": "Person", "name": "Salvetat, Florence" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "Ocean acidification", "pH measurement", "Training video", "Spectrophotomietric measurement", "MINKE Project", "Chemical oceanography", "pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1983", "name": "InRoad Final Report: Main findings and recommendations.", "description": " - Europe benefits from a very rich and diverse Research Infrastructure (RI) landscape. This landscape is spread over the 28 Member States of the European Union and a series of countries associated to the European framework programmes for research and innovation. Investigating this landscape, from the regional to the European level, is a fascinating endeavour. The diversity of existing practices for deciding which RIs to fund, how to fund them and how to run them can of course threaten the efficiency and the sustainability of the landscape. After spending two years in the context of InRoad looking into the details of these practices, I was surprised how dynamic this environment is, with a constant evolution of practices and models, but also how little was known or shared about national processes. Naturally, InRoad has not limited itself to looking and describing national RI funding and decision- making processes. The project has also put forward a series of recommendations and good practices to be debated in view of enhancing coordination within the RI landscape in Europe. It is now up to the broad and diverse community addressed in the following report to take those practices forward and implement them in the respective contexts. The initial idea beyond the InRoad project came from a series of activities undertaken by the Science Europe working group on RIs between 2014 and 2016, summarised in the report \u2018Strategic Priorities, Funding and Pan-European Co-operation for Research Infrastructures in Europe\u2019. Since then, the political landscape has advanced significantly, due to the work done on the long-term sustainability of RI by the European Commission, the European Strategy Forum for Research Infrastructures (ESFRI), the OECD and others. All these debates have been (and still are) taking place while InRoad was conducting surveys, interviews and expert workshops on the matter. InRoad always has taken an open and proactive stance with respect to these developments and has offered a platform of exchange and shared its draft insights to stimulate the debates. I sincerely hope that the recommendations and good practices listed in this document will further nurture the debate around RI long-term sustainability and contribute to a more efficient and integrated European Research Area. - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1983", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1983", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1983", "url": "https:\/\/hdl.handle.net\/11329\/1983" }, "contributor": [ { "@type": "Organization", "name": "Swiss National Science Foundation for InRoad Project," } ], "keywords": [ "Research infrastructures", "Business planning", "Sustainability", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2378", "name": "Ecosystem Model Skill Assessment. Yes We Can!", "description": " - Accelerated changes to global ecosystems call for holistic and integrated analyses of past, present and future states under various pressures to adequately understand current and projected future system states. Ecosystem models can inform management of human activities in a complex and changing environment, but are these models reliable? Ensuring that models are reliable for addressing management questions requires evaluating their skill in representing real-world processes and dynamics. Skill has been evaluated for just a limited set of some biophysical models. A range of skill assessment methods have been reviewed but skill assessment of full marine ecosystem models has not yet been attempted. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2378", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2378", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2378", "url": "https:\/\/hdl.handle.net\/11329\/2378" }, "author": [ { "@type": "Person", "name": "Olsen, Erik" }, { "@type": "Person", "name": "Fay, Gavin" }, { "@type": "Person", "name": "Gaichas, Sarah" }, { "@type": "Person", "name": "Lucey, Sean" }, { "@type": "Person", "name": "Link, Jason S." } ], "keywords": [ "Ecosystem models", "Skill assessment", "Ecosystem-based management", "Biota composition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2484", "name": "Geotechnical and Geophysical Investigations for Offshore and Nearshore Developments.", "description": " - This review of the aspects and techniques of marine site investigation has been produced by Technical Committee 1: Offshore and nearshore geotechnical engineering, of the International Society for Soil Mechanics and Geotechnical Engineering, with the aim of providing guidance and good practice examples for the collection of site investigation data for offshore and nearshore structures. Knowledge of seabed soils and rocks is essential if offshore and nearshore structures are to be properly and safely designed and built. A large part of the commercial and operational risk involved in these works relates to uncertainties about the properties of soils and rocks at the site. It is therefore necessary to perform sufficient investigations to evaluate these risks thoroughly. Many geophysical and geotechnical techniques are available to the engineer to perform such investigations. However, offshore and nearshore site investigations involve special problems raising the question - what is sufficient? The answer largely depends on the situation. For offshore platform design, the information required on the soils is different to that, say, for a pipeline and the requirements for a dredging program are different again. Further, the geotechnical information needed for a feasibility study or a site selection is quite different from that needed for detailed design. The equipment and techniques for site investigations in deep water differ significantly from those for shallow water; those for calm water differ from those for harsher environments. It is to assist with the answer as to what is sufficient, that the authors of this booklet aspire. Many parties are involved in the planning and decision-making process of a site investigation, including the owners and clients, designers, contractors, investigators and surveyors. Rarely has any one person all the experience and expertise needed for planning the optimal programme. This document provides useful information for these construction professionals and includes information on: \u2212 Soil and rock properties and their consequences for engineering design. \u2212 Typical techniques and equipment for marine site investigation. \u2212 The relevance of different methods of data acquisition. \u2212 Guidance on the planning and scopes of work for geophysical and geotechnical investigations, and interpretation of the results. \u2212 The foundation engineering issues surrounding different sorts of structures, schemes and working methods. \u2212 Examples and case histories to illustrate special situations, difficulties and common problems. Although hydrographic surveys and other data collection of the water column are required for proper design, the requirements and techniques for such surveys and investigations are not covered in detail in this document. There are many existing international, national and industry codes and guidelines on offshore and nearshore geotechnical and geophysical investigation techniques and operations. These codes and regulations are subject to regular review, modification and improvement, and expert advice should always be sought. This booklet does not in any way purport to be a definitive or thorough dissertation on the state of industry practice, rather it is hoped that it will assist, in some measure, all those engaged in these activities by having to hand a useful practical guide to good practice. - , - Published - , - Refereed - , - Current - , - Mature - , - Organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2484", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2484", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2484", "url": "https:\/\/hdl.handle.net\/11329\/2484" }, "contributor": [ { "@type": "Organization", "name": "International Society for Soil Mechanics and Geotechnical Engineering" } ], "keywords": [ "Geotechnical investigations", "Geophysical inveestigations", "Soil mechanics", "Field geophysics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/211", "name": "Manual on sea level measurement and interpretation. Volume II - Emerging technologies.", "description": " - In 1985 the Intergovernmental Oc\u00e9anographic Commission (IOC) published its Manual on Sea Level Measurement and Interpretation (Manuals and Guides No. 14 UNESCO). This new publication is complementary to the previous version, extending and updating the material on measurements. Several detailed reviews of interpretation of sea level data have been published since 1985 e.g. IPCC 1990. - , - Published - , - Document available in English. - , - Non-Refereed - , - Sea surface height - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/211", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/211", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/211", "url": "https:\/\/hdl.handle.net\/11329\/211" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Sea level", "Measurement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2121", "name": "ScIQ: an invitation and recommendations to combine science and Inuit Qaujimajatuqangit for meaningful engagement of Inuit communities in research.", "description": " - Researchers wishing to conduct studies in Nunavut are asked by potential funders and licensing agencies to incorporate Inuit Qaujimajatuqangit (IQ) and meaningfully engage Inuit communities, but they must usually interpret for themselves what this means and how to do it in practice. As a group of Inuit youth from four Nunavut communities, we have developed a concept we call ScIQ (pronounced sigh-cue) to describe how science and IQ can be combined for more meaningful engagement to benefit both Inuit communities and scientific researchers. ScIQ is based on the understanding that IQ is not only knowledge that Inuit have gained over many generations; it is more holistic and includes Inuit values, customs and principles for living our lives. Incorporating IQ into research then, should be as much about how research is conducted as it is about data collected from Inuit and local knowledge used to conduct the research. Over a five-day Ikaarvik Youth ScIQ Summit in Cambridge Bay, Nunavut, we developed 45 recommendations for specific things researchers can do before, during, and after their research that, from our perspective, are examples of truly incorporating IQ and result in more meaningful engagement of Inuit communities. This paper presents the Ikaarvik ScIQ recommendations. - , - Refereed - , - Qaujisaqtiit qaujisarniqarumajut Nunavummi apirijauvut kiinaujaqaqtiutuinnarialingni amma laisansitaaqtittijiujuni ilaliujjinirmut Inuit Qaujimajatuqanginni (IQ) amma tukiqattiaqtumi ilautittinirmi Inungni nunaliujuni, kisiani tukiliurijariaqaqput immingnut qanuq tukiqarningani ammalu qanuq pilirianguvangningani atuqtauninganut. Katinnganiulutik Inungni makkuktuni tisamani Nunavummi nunaliujuni, pivalliatittisimavugut isumagijautuinnarniujumi taijavut ScIQ (taijausuuq sigh-cue) unikkaarinirmi qanuq qaujisarniq amma Inuit Qaujimajatuqangit katitirijaujunnarningani tukiqattiarniqsaujumi ilautittiniujumi pivaallirutiqarniaqtumut tamakkini inungni nunaliujuni amma qaujisarnirmut qaujisaqtiujuni. ScIQ tunngaviqaqpuq tukisiumaniujumi Inuit Qaujimajatuqangit qaujimanituinnaunnginningani Inuit pisimajanginni arraagugasaalungnut, iluittuuniuvuq amma ilaqaqpuq Inuit pinnarijanginni, atuqpaktanginni amma tunngaviujuni inuunirmi inuusittinni. Ilaliujjiniq Inuit Qaujimajatuqanginni qaujisarnirmut asuilaak, ilaqalluaqpuq qanuq qaujisaqtauninga pilirianguvangningani ammalu qaujisaqtaunikuni titiraqsimajuni katiqsuqtaujuni Inungni amma nunalingni qaujimaniujunut atuqtauvaktuni pilirinirmut qaujisarniujumi. Tallimanut\u2212ullunut, Ikaarvik Makkuktuni ScIQ Katimaniujumi Iqaluktuuttiaq, Nunavummi, pivalliatittilauqpugut 45-ni atuliqujaujuni nalunaiqtausimajunut kisutuinnanut qaujisaqtiit pilirijariaqaqtanginni sivuniani, taikani amma kinguniagut qaujisarninginni, isumagijattinni, uuktuutiuvut ilaliujjillaringningani Inuit Qaujimajatuqanginni amma pitittilluni tukiqarniqsaujumi ilautittiniujumi Inungni nunaliujunit. Una paippaaq tunisivuq Ikaarvik ScIQ atuqunajaqtanginni. - , - 14.7 - , - Mature - , - Multi-organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2121", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2121", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2121", "url": "https:\/\/hdl.handle.net\/11329\/2121" }, "author": [ { "@type": "Person", "name": "Pedersen, C." }, { "@type": "Person", "name": "Otokiak, M." }, { "@type": "Person", "name": "Koonoo, I." }, { "@type": "Person", "name": "Milton, J." }, { "@type": "Person", "name": "Maktar, E." }, { "@type": "Person", "name": "Anaviapik, A." }, { "@type": "Person", "name": "Milton, M." }, { "@type": "Person", "name": "Porter, G." }, { "@type": "Person", "name": "Scott, A." }, { "@type": "Person", "name": "Newman, C." }, { "@type": "Person", "name": "Porter, C." }, { "@type": "Person", "name": "Aaluk, T." }, { "@type": "Person", "name": "Tiriraniaq, B." }, { "@type": "Person", "name": "Pedersen, A." }, { "@type": "Person", "name": "Riffi, M." }, { "@type": "Person", "name": "Solomon, E." }, { "@type": "Person", "name": "Elverum, S." } ], "keywords": [ "Ikaarvik", "Indigenous knowledge", "Inuit knowledge", "Nunavut", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/987", "name": "Methods for biogeochemical studies of sea ice: the state of the art, caveats, and recommendations.", "description": " - Over the past two decades, with recognition that the ocean\u2019s sea-ice cover is neither insensitive to climate change nor a barrier to light and matter, research in sea-ice biogeochemistry has accelerated significantly, bringing together a multi-disciplinary community from a variety of fields. This disciplinary diversity has contributed a wide range of methodological techniques and approaches to sea-ice studies, complicating comparisons of the results and the development of conceptual and numerical models to describe the important biogeochemical processes occurring in sea ice. Almost all chemical elements, compounds, and biogeochemical processes relevant to Earth system science are measured in sea ice, with published methods available for determining biomass, pigments, net community production, primary production, bacterial activity, macronutrients, numerous natural and anthropogenic organic compounds, trace elements, reactive and inert gases, sulfur species, the carbon dioxide system parameters, stable isotopes, and water-ice-atmosphere fluxes of gases, liquids, and solids. For most of these measurements, multiple sampling and processing techniques are available, but to date there has been little intercomparison or intercalibration between methods. In addition, researchers collect different types of ancillary data and document their samples differently, further confounding comparisons between studies. These problems are compounded by the heterogeneity of sea ice, in which even adjacent cores can have dramatically different biogeochemical compositions. We recommend that, in future investigations, researchers design their programs based on nested sampling patterns, collect a core suite of ancillary measurements, and employ a standard approach for sample identification and documentation. In addition, intercalibration exercises are most critically needed for measurements of biomass, primary production, nutrients, dissolved and particulate organic matter (including exopolymers), the CO2 system, air-ice gas fluxes, and aerosol production. We also encourage the development of in situ probes robust enough for long-term deployment in sea ice, particularly for biological parameters, the CO2 system, and other gases. - , - Refereed - , - Sea Ice - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/987", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/987", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/987", "url": "https:\/\/hdl.handle.net\/11329\/987" }, "author": [ { "@type": "Person", "name": "Miller, Lisa A." }, { "@type": "Person", "name": "Fripiat, Francois" }, { "@type": "Person", "name": "Else, Brent G.T" }, { "@type": "Person", "name": "Bowman, Jeff S." }, { "@type": "Person", "name": "Brown, Kristina A." }, { "@type": "Person", "name": "Collins, R. Eric" }, { "@type": "Person", "name": "Ewert, Marcela" }, { "@type": "Person", "name": "Fransson, Agneta" }, { "@type": "Person", "name": "Gosselin, Michel" }, { "@type": "Person", "name": "Lannuzel, Delphine" }, { "@type": "Person", "name": "Meiners, Klaus M." }, { "@type": "Person", "name": "Michel, Christine" }, { "@type": "Person", "name": "Nishioka, Jun" }, { "@type": "Person", "name": "Nomura, Daiki" }, { "@type": "Person", "name": "Papadimitriou, Stathys" }, { "@type": "Person", "name": "Russell, Lynn M." }, { "@type": "Person", "name": "S\u00f8rensen, Lise Lotte" }, { "@type": "Person", "name": "Thomas, David N." }, { "@type": "Person", "name": "Tison, Jean- Louis" }, { "@type": "Person", "name": "Leeuwe, Maria A. van" }, { "@type": "Person", "name": "Vancoppenolle, Martin" }, { "@type": "Person", "name": "Wolff, Eric W." }, { "@type": "Person", "name": "Zhou, Jiayun" } ], "keywords": [ "SCOR WG152", "Sea ice chemistry", "Parameter Discipline::Cryosphere::Cryosphere", "Parameter Discipline::Chemical oceanography::Other organic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1224", "name": "The European HF radar inventory. Publication date 15 Sep 2016 (Updated version 30 Jan 2017).", "description": " - The inventory of the different HF radar systems operating in Europe has been gathered thanks to the survey launched by the EuroGOOS HFR Task Team, in the framework of INCREASE and JERICO-NEXT projects. We are very grateful to all the people who kindly provided the information of their radar and related activities. This publication summarizes the main results of the European HF radar survey. EuroGOOS HFR Task Team will keep it as living document to be updated each time new information concerning existing or future systems is made available. Please do not hesitate to contact jmader@azti.es if you detect any necessary update on the current contents. - , - Published - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1224", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1224", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1224", "url": "https:\/\/hdl.handle.net\/11329\/1224" }, "author": [ { "@type": "Person", "name": "Mader, Julien" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Asensio, J.L." }, { "@type": "Person", "name": "Novellino, Antonio" }, { "@type": "Person", "name": "Alba, Marco" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Griffa, Annalisa" }, { "@type": "Person", "name": "Gorringe, Patrick" }, { "@type": "Person", "name": "Fernandez, Vicente" } ], "contributor": [ { "@type": "Organization", "name": "EuroGOOS" } ], "keywords": [ "HF radar", "EuroGOOS", "JERICO", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::radar altimeters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2483", "name": "Guide du SHOM pour la Realisation des Leves Hydrographiques, Version 1.1.", "description": " - Les lev\u00e9s hydrographiques sont ax\u00e9s sur la d\u00e9termination de la profondeur dans la zone lev\u00e9e, la d\u00e9tection des rel\u00e8vements du fond dangereux pour la navigation, et la mise \u00e0 jour de l\u2019information nautique environnante pour l\u2019entretien ou la cr\u00e9ation des documents nautiques (cartes, instructions nautiques, livre des feux, etc.) traitant de la zone lev\u00e9e. Un lev\u00e9 hydrographique comprend : \u00b7 des travaux pr\u00e9paratoires : o travaux de g\u00e9od\u00e9sie : positionnement de stations de r\u00e9f\u00e9rence GNSS pour la localisation pr\u00e9cise des porteurs, mesures de nivellement pour le contr\u00f4le des observatoires de mar\u00e9e ; o mesures de mar\u00e9e : mise en place et exploitation de mar\u00e9graphes permanents ou d\u2019observatoires de mar\u00e9e temporaires. \u00b7 le lev\u00e9 hydrographique \u00e0 proprement parler : o lev\u00e9s bathym\u00e9triques : mesure de la profondeur (sondage) au SMF ou sondeur vertical, mise en oeuvre de sonar lat\u00e9ral pour la d\u00e9tection des rel\u00e8vements, mise en oeuvre de magn\u00e9tom\u00e8tres remorqu\u00e9s pour la classification (identification) des \u00e9paves, utilisation des techniques du lidar ou satellitaires pour la d\u00e9termination des profondeurs ; o mesures hydrologiques : mesures de temp\u00e9rature, de conductivit\u00e9 ou de c\u00e9l\u00e9rit\u00e9 du son n\u00e9cessaires \u00e0 la mesure pr\u00e9cise de la profondeur par les sondeurs ; o plong\u00e9es : pour cotation et identification pr\u00e9cise de rel\u00e8vements du fond ; o \u00e9tude de la nature des fonds : par l\u2019imagerie, les mesures \u00e0 l\u2019aide de sondeur (ou p\u00e9n\u00e9trateur) de s\u00e9diment et les pr\u00e9l\u00e8vements, dans le but d\u2019estimer la tenue des mouillages ou de quantifier les risques en cas d\u2019\u00e9chouage. \u00b7 des mesures compl\u00e9mentaires : o g\u00e9od\u00e9sie pour le positionnement de points remarquables \u00e0 terre : amers ou calage de photographies a\u00e9riennes ou d\u2019images satellites pour la cartographie ; o positionnement du balisage fixe et flottant ; o mesures de courant au point fixe : installation de courantom\u00e8tres ; o photographies : a\u00e9riennes ou depuis la mer, pour les instructions nautiques. \u00c0 l\u2019issue du lev\u00e9, les donn\u00e9es sont exploit\u00e9es selon les standards hydrographiques (internationaux ou d\u00e9riv\u00e9s). On parle alors de \u00ab r\u00e9daction \u00bb : c\u2019est la mise en forme des donn\u00e9es pour int\u00e9gration dans des bases de donn\u00e9es et r\u00e9dactions de livrables (plans, rapports, etc.). - , - Published - , - Annexes include: Guide pratique pour la diffusion des informations hydrographiques - , - Refereed - , - ENGLISH [Google Translate] ---- Hydrographic surveys focus on determining the depth in the surveyed area, the detection of bottom bearings dangerous for navigation, and updating of surrounding nautical information for maintenance or creation of nautical documents (charts, nautical instructions, light book, etc.) covering the surveyed area. A hydrographic survey includes: \u00b7 preparatory work: o geodesy work: positioning of GNSS reference stations for precise location of carriers, leveling measurements for control of tidal observatories; o tidal measurements: installation and operation of permanent tide gauges or temporary tidal observatories. \u00b7 the hydrographic survey itself: o bathymetric surveys: depth measurement (sounding) using the SMF or depth sounder vertical, implementation of lateral sonar for detection of bearings, implementation implementation of towed magnetometers for the classification (identification) of wrecks, use of lidar or satellite techniques for determination depths; o hydrological measurements: measurements of temperature, conductivity or speed sound necessary for precise depth measurement by sounders; o dives: for rating and precise identification of bottom elevations; o study of the nature of the seabed: through imaging, measurements using a sounder (or penetrator) of sediment and samples, with the aim of estimating the resistance of anchorages or to quantify the risks in the event of stranding. \u00b7 additional measures: o geodesy for the positioning of remarkable points on land: landmarks or calibration of aerial photographs or satellite images for cartography; o positioning of fixed and floating markings; o current measurements at the fixed point: installation of current meters; o photographs: aerial or from the sea, for nautical instructions. At the end of the survey, the data is used according to hydrographic standards (international or derivatives). We then speak of \u201cediting\u201d: it is the formatting of the data for integration into databases and drafting of deliverables (plans, reports, etc.). - , - Current - , - Mature - , - Mulit-Organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2483", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2483", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2483", "url": "https:\/\/hdl.handle.net\/11329\/2483" }, "contributor": [ { "@type": "Organization", "name": "Service Hydrographique et Oc\u00e9anographique de la Marine (SHOM)" } ], "keywords": [ "Hydrographic surveying", "Bathymetric data", "Other physical oceanographic measurements", "Gravity, magnetics and bathymetry", "Field geophysics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2355", "name": "DMQC Cookbook for Core Argo parameters.", "description": " - This cookbook is to document the end-to-end processing chain of Delayed Mode Quality Control (DMQC) of Core Argo parameters. It provides guidlines on existing manuals, and explains best practices through case studies. This document was initiated after the 1st EU DMQC workshop held in Brest in April 2018, under the MOCCA project. Lately, this work has been undertaken under EuroArgo RISE project. The document is organized as follows.The first part gives some general information (e.g.: How to check quality indicators in delayed mode? What are the reference databases? How to correct pressure? How to use the OWC software to correct salinity? What are the common failures? etc.). The second part gives more specific information for the regional analysis (specific difficulties encountered, reference data available in regional seas, configuration parameters usually used, etc...). The regions covered so far are: the sub-polar Atlantic zone, the Nordic Seas, the Mediterranean and Black Seas, and the Southern Ocean.The third part of the cookbook presents detailled examples of delayed-mode processing for float data in these regions. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2355", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2355", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2355", "url": "https:\/\/hdl.handle.net\/11329\/2355" }, "author": [ { "@type": "Person", "name": "Cabanes, Cecile" }, { "@type": "Person", "name": "Angel-Benavides, Ingrid" }, { "@type": "Person", "name": "Buck, Justin" }, { "@type": "Person", "name": "Coatanoan, Christine" }, { "@type": "Person", "name": "Dobler, Delphine" }, { "@type": "Person", "name": "Herbert, Gaelle" }, { "@type": "Person", "name": "Klein, Birgit" }, { "@type": "Person", "name": "Maze, Guillaume" }, { "@type": "Person", "name": "Notarstefano, Guilio" }, { "@type": "Person", "name": "Owens, Breck" }, { "@type": "Person", "name": "Thierry, Virginie" }, { "@type": "Person", "name": "Walicka, Kamila" }, { "@type": "Person", "name": "Wong, Annie" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Argo", "Cross-discipline", "Data quality control", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1764", "name": "Biogeochemical sensor performance in the SOCCOM profiling float array.", "description": " - The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) program has begun deploying a large array of biogeochemical sensors on profiling floats in the Southern Ocean. As of February 2016, 86 floats have been deployed. Here the focus is on 56 floats with quality-controlled and adjusted data that have been in the water at least 6 months. The floats carry oxygen, nitrate, pH, chlorophyll fluorescence, and optical backscatter sensors. The raw data generated by these sensors can suffer from inaccurate initial calibrations and from sensor drift over time. Procedures to correct the data are defined. The initial accuracy of the adjusted concentrations is assessed by comparing the corrected data to laboratory measurements made on samples collected by a hydrographic cast with a rosette sampler at the float deployment station. The long-term accuracy of the corrected data is compared to the GLODAPv2 data set whenever a float made a profile within 20 km of a GLODAPv2 station. Based on these assessments, the fleet average oxygen data are accurate to 161%, nitrate to within 0.560.5 mmol kg21, and pH to 0.00560.007, where the error limit is 1 standard deviation of the fleet data. The bio-optical measurements of chlorophyll fluorescence and optical backscatter are used to estimate chlorophyll a and particulate organic carbon concentration. The particulate organic carbon concentrations inferred from optical backscatter appear accurate to with 35 mg C m23 or 20%, whichever is larger. Factors affecting the accuracy of the estimated chlorophyll a concentrations are evaluated. - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Biogeochemical sensors - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1764", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1764", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1764", "url": "https:\/\/hdl.handle.net\/11329\/1764" }, "author": [ { "@type": "Person", "name": "Johnson, Kenneth S." }, { "@type": "Person", "name": "Plant, Joshua N." }, { "@type": "Person", "name": "Coletti, Luke J." }, { "@type": "Person", "name": "Jannasch, Hans W." }, { "@type": "Person", "name": "Sakamoto, Carole M." }, { "@type": "Person", "name": "Riser, Stephen C." }, { "@type": "Person", "name": "Swift, Dana D." }, { "@type": "Person", "name": "Williams, Nancy L." }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Haentjens, Nils" }, { "@type": "Person", "name": "Talley, Lynne D." }, { "@type": "Person", "name": "Sarmiento, Jorge L." } ], "keywords": [ "Oxygen sensor", "Nitrate sensor", "Bio-optical sensor", "Profiling floats", "SOCCOM", "Chemical oceanography", "pH sensors", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1803", "name": "New and updated global empirical seawater property estimation routines.", "description": " - We introduce three new Empirical Seawater Property Estimation Routines (ESPERs) capable of predicting seawater phosphate, nitrate, silicate, oxygen, total titration seawater alkalinity, total hydrogen scale pH (pHT), and total dissolved inorganic carbon (DIC) from up to 16 combinations of seawater property measurements. The routines generate estimates from neural networks (ESPER_NN), locally interpolated regressions (ESPER_LIR), or both (ESPER_Mixed). They require a salinity value and coordinate information, and benefit from additional seawater measurements if available. These routines are intended for seawater property measurement quality control and quality assessment, generating estimates for calculations that require approximate values, original science, and producing biogeochemical property context from a data set. Relative to earlier LIR routines, the updates expand their functionality, including new estimated properties and combinations of predictors, a larger training data product including new cruises from the 2020 Global Data Analysis Project data product release, and the implementation of a first-principles approach for quantifying the impacts of anthropogenic carbon on DIC and pHT. We show that the new routines perform at least as well as existing routines, and, in some cases, outperform existing approaches, even when limited to the same training data. Given that additional training data has been incorporated into these updated routines, these updates should be considered an improvement over earlier versions. The routines are intended for all ocean depths for the interval from 1980 to 2030 c.e., and we caution against using the routines to directly quantify surface ocean seasonality or make more distant predictions of DIC or pHT. - , - Refereed - , - 14.a - , - N\/A - , - Validated (tested by third parties) - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1803", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1803", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1803", "url": "https:\/\/hdl.handle.net\/11329\/1803" }, "author": [ { "@type": "Person", "name": "Carter, Brendan" }, { "@type": "Person", "name": "Bittig, Henry" }, { "@type": "Person", "name": "Fassbender, Andrea J." }, { "@type": "Person", "name": "Sharp, Jonathan D." }, { "@type": "Person", "name": "Takeshita, Yuichiro" }, { "@type": "Person", "name": "Xu, Yuan-Yuan" }, { "@type": "Person", "name": "Alvarez, Marta" }, { "@type": "Person", "name": "Wanninkhof, Rik" }, { "@type": "Person", "name": "Feely, Richard A." }, { "@type": "Person", "name": "Barbero, Leticia" } ], "keywords": [ "Chemical oceanography", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/624", "name": "Manual of recommended practices for modelling physical \u2013 biological interactions during fish early life.", "description": " - The objectives of this manual of recommended practices(MRP) are to summarize appropriate methods for modelling physical\u2013biological interactions during the early life of fish, to recommend modelling techniques in the context of specific applications, and to identify gaps in knowledge. This manual is intended to provide a reference for early\u2010career modellers who are interested in applying numerical models to fish early life and who would benefit from a summary of recommended practices for coupled biological\u2013physical models that incorporate predictions from three\u2010dimensional circulation models to determine the transit of fish eggs, larvae, and juveniles from spawning to nursery areas. For current practitioners of numerical modelling in fish early life, the manual provides updates on latest techniques and areas in need of further research. Although the manual focuses on finfish, many of the summarized modelling techniques and recommended practices apply to modelling planktonic organisms, including zooplankton and other meroplankton (e.g. molluscs and crustaceans). It is important to recognize that \u201cbest\u201d modelling practices depend upon the objective of the modelling exercise. In other words, no single model is appropriate to all applications. Instead, model formulations are situation-specific. Because methodologies depend upon the goal of the endeavour, this manual includes an overview of basic components of fish early life models and presents recommendations in the context of three specific applications: adaptive sampling, connectivity, and recruitment predic \u2010 tion. The first three sections (Section 1\u2013 Hydrodynamic models, Section 2 \u2013 Particle tracking, and Section 3 - Biological processes) summarize methodologies that are important components of three\u2010dimensional models of the early life of fish. The next three sections (Section 4 \u2013 Application 1: adaptive sampling, Section 5 \u2013 Application 2: connectivity, and Section 6 \u2013 Application 3: recruitment prediction) discuss the application of selected methodologies to specific issues that are commonly addressed with these models. The final section summarizes the information gaps and research needs identified throughout the manual. This MRP grew out of participant discussions at the \u201cWorkshop on Advancements in Modelling Physical\u2013Biological Interactions in Fish Early Life History: Recommended Practices and Future Directions\u201d (WKAMF) held on 3\u20135 April 2006 in Nantes, France. This manual does not contain an exhaustive review of all approaches to modelling the early life of fish. Instead, it is intended to be a general reference for fish early life modelling that includes citations that will direct readers to in\u2010depth treatments of specific topics. In addition, it should be noted that this document does not represent the consensus recommendations of all authors. Each section was written separately. In some cases, differences in recommendations and perspectives exist. These apparent contradictions may stem from dissimilarity in the time or space scale of the models used by the authors or the ecosystem in which the authors are most experienced (e.g. temperate vs. tropical). The issues on which recommendations or perspective diverge are those that remain an active area of research. This manual is a \u201cliving\u201d document: future revisions and updates are expected as our understanding and methods evolve. - , - Published - , - Authors: Bj\u00f8rn \u00c5dlandsvik \u2022 Joachi m Bartsch \u2022 David Brickman Howard I. Browman \u2022 Karen Edwards \u2022 \u00d8yvind Fiksen Alejandro Gallego \u2022 Albert J. Hermann \u2022 Sarah Hinckley Edward Houde \u2022 Ma rtin Huret \u2022 Jean-Olivier Irisson Genevi\u00e8ve Lacroix \u2022 Jeffrey M. Leis \u2022 Paul McCloghrie Bernard A. Megrey \u2022 Thomas Miller \u2022 Johan van der Molen Christian Mullon \u2022 Elizabeth W. North \u2022 Carolina Parada Claire B. Paris \u2022 Pierre Pepin \u2022 Pierre Petitgas Kenneth Rose \u2022 Uffe H. Thygesen \u2022 Cisco Werner - , - Refereed - , - Current - , - 14.4 - , - 14.A - , - Fish abundance and distribution - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/624", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/624", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/624", "url": "https:\/\/hdl.handle.net\/11329\/624" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Biological-physical modelling", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/555", "name": "Ethical recommendations for ocean observation.", "description": " - The United Nations proclaimed a decade of marine science for sustainable development (2021\u20132030) to develop a common framework that will ensure that ocean science can fully support countries in achieving the goal of sustainable development. Marine scientific understanding is fundamental to managing human activities that affect this environment, and ocean observations have a particularly important role in enhancing the knowledge base of our oceans. With this important task, scientists have the responsibility to act in an ethical way and apply all the fundamental principles described in the Cape Town statement: (a) ethical values, (b) social values and (c) cultural values (Peppoloni and Di Capua, 2017). This article is a first attempt to highlight the core values applicable to ocean observation, which can then be improved and adopted as part of geoethics and the stewardship of the Earth system. It opens up avenues for reflection on geoethical implications in the field of ocean observation and suggests nine key principles that marine scientists could follow in their innovative research regarding open access to data, effectiveness, compliance with laws, environmental respect and nature conservation, reciprocal relation and cultural respect, equity and fairness, knowledge transfer, governance adapted to socio-ecological systems, and the use of animals in research. - , - Refereed - , - 14 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/555", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/555", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/555", "url": "https:\/\/hdl.handle.net\/11329\/555" }, "author": [ { "@type": "Person", "name": "Barbier, Mich\u00e8le" }, { "@type": "Person", "name": "Reitz, Anja" }, { "@type": "Person", "name": "Pabortsava, Katsiaryna" }, { "@type": "Person", "name": "W\u00f6lf, Anne-Cathrin" }, { "@type": "Person", "name": "Hahn, Tobias" }, { "@type": "Person", "name": "Whoriskey, Fred" } ], "keywords": [ "Ethics", "Ocean observation", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2243", "name": "Airborne observations of arctic-boreal water surface elevations from AirSWOT Ka-Band InSAR and LVIS LiDAR.", "description": " - AirSWOT is an experimental airborne Ka-band radar interferometer developed by NASA-JPL as a validation instrument for the forthcoming NASA Surface Water and Ocean Topography (SWOT) satellite mission. In 2017, AirSWOT was deployed as part of the NASA Arctic Boreal Vulnerability Experiment (ABoVE) to map surface water elevations across Alaska and western Canada. The result is the most extensive known collection of near-nadir airborne Ka-band interferometric synthetic aperture radar (InSAR) data and derivative high-resolution (3.6 m pixel) digital elevation models to produce water surface elevation (WSE) maps. This research provides a synoptic assessment of the 2017 AirSWOT ABoVE dataset to quantify regional WSE errors relative to coincident in situ field surveys and LiDAR data acquired from the NASA Land, Vegetation, and Ice Sensor (LVIS) airborne platform. Results show that AirSWOT WSE data can penetrate cloud cover and have nearly twice the swath-width of LVIS as flown for ABoVE (3.2 km vs. 1.8 km nominal swath-width). Despite noise and biases, spatially averaged AirSWOT WSEs can be used to estimate sub-seasonal hydrologic variability, as confirmed with field GPS surveys and in situ pressure transducers. This analysis informs AirSWOT ABoVE data users of known sources of measurement error in the WSEs as influenced by radar parameters including incidence angle, magnitude, coherence, and elevation uncertainty. The analysis also provides recommended best practices for extracting information from the dataset by using filters for these four parameters. Improvements to data handing would significantly increase the accuracy and spatial coverage of future AirSWOT WSE data collections, aiding scientific surface water studies, and improving the platform\u2019s capability as an airborne validation instrument for SWOT. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Surface water elevation - , - NASA Land Vegetation and Ice Sensor (LVIS) - , - KaSPAR interferometer (InSAR) - , - Ka-band SWOT Phenomenology Airborne Radar (KaSPAR) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2243", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2243", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2243", "url": "https:\/\/hdl.handle.net\/11329\/2243" }, "author": [ { "@type": "Person", "name": "Fayne, Jessica V." }, { "@type": "Person", "name": "Smith, Laurence C." }, { "@type": "Person", "name": "Pitcher, Lincoln H." }, { "@type": "Person", "name": "Kyzivat, Ethan D." }, { "@type": "Person", "name": "Cooley, Sarah W." }, { "@type": "Person", "name": "Cooper, Matthew G." }, { "@type": "Person", "name": "Denbina, Michael W." }, { "@type": "Person", "name": "Chen, Albert C." }, { "@type": "Person", "name": "Chen, Curtis W." }, { "@type": "Person", "name": "Pavelsky, Tamlin M." } ], "keywords": [ "Other physical oceanographic measurements", "Data acquisition", "Data processing", "Data analysis", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1078", "name": "Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis. [video article]", "description": " - Microplastic pollution in the marine environment is a scientific topic that has received increasing attention over the last decade. The majority of scientific publications address microplastic pollution of the sea surface. The protocol below describes the methodology for sampling, sample preparation, separation and chemical identification of microplastic particles. A manta net fixed on an 'A frame' attached to the side of the vessel was used for sampling. Microplastic particles caught in the cod end of the net were separated from samples by visual identification and use of stereomicroscopes. Particles were analyzed for their size using an image analysis program and for their chemical structure using ATR-FTIR and micro FTIR spectroscopy. The described protocol is in line with recommendations for microplastics monitoring published by the Marine Strategy Framework Directive (MSFD) Technical Subgroup on Marine Litter. This written protocol with video guide will support the work of researchers that deal with microplastics monitoring all over the world. - , - The video component of this article can be found at https:\/\/www.jove.com\/video\/55161\/ - , - Refereed - , - 14 - , - Particulate matter - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1078", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1078", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1078", "url": "https:\/\/hdl.handle.net\/11329\/1078" }, "author": [ { "@type": "Person", "name": "Kova\u010d Vir\u0161ek, M." }, { "@type": "Person", "name": "Palatinus, A." }, { "@type": "Person", "name": "Koren, \u0160." }, { "@type": "Person", "name": "Peterlin, M." }, { "@type": "Person", "name": "Horvat, P." }, { "@type": "Person", "name": "Kr\u017ean, A." } ], "keywords": [ "Plastic debris", "Marine Strategy Framework Directive (MSFD) Technical Subgroup on Marine Litter", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2187", "name": "Strategic environmental assessment and monitoring: Arctic key gaps and bridging pathways.", "description": " - The Arctic region undergoes rapid and unprecedented environmental change. Environmental assessment and monitoring is needed to understand and decide how to mitigate and\/or adapt to the changes and their impacts on society and ecosystems. This letter analyzes the application of strategic environmental assessment (SEA) and the monitoring, based on environmental observations, that should be part of SEA, elucidates main gaps in both, and proposes an overarching SEA framework to systematically link and improve both with focus on the rapidly changing Arctic region. Shortcomings in the monitoring of environmental change are concretized by examples of main gaps in the observations of Arctic hydroclimatic changes. For relevant identification and efficient reduction of such gaps and remaining uncertainties under typical conditions of limited monitoring resources, the proposed overarching framework for SEA application includes components for explicit gap\/uncertainty handling and monitoring, systematically integrated within all steps of the SEA process. The framework further links to adaptive governance, which should explicitly consider key knowledge and information gaps that are identified through and must be handled in the SEA process, and accordingly (re) formulate and promote necessary new or modified monitoring objectives for bridging these gaps. - , - Refereed - , - 13.3 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2187", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2187", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2187", "url": "https:\/\/hdl.handle.net\/11329\/2187" }, "author": [ { "@type": "Person", "name": "Azcarate, Juan" }, { "@type": "Person", "name": "Balfors, Berit" }, { "@type": "Person", "name": "Bring, Arvid" }, { "@type": "Person", "name": "Destouni, Georgia" } ], "keywords": [ "Strategic environmental assessment", "Hydroclimatic change", "Environmental observation", "Adaptive governance", "Climate change", "Environment", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1525", "name": "A European Threshold Value and Assessment Method for Macro Litter on Coastlines.", "description": " - The Marine Strategy Framework Directive (MSFD, 2008\/56\/EC) requires that European threshold values (TVs) for marine litter (descriptor 10) be defined. The MSFD Technical Group on Marine Litter (TG ML) decided to focus on coastline litter (Criterion 1), often referred to as beach litter, in a first step, since for this criterion a monitoring framework is in place and a substantial amount of fit-for-purpose beach litter monitoring data is available at the European scale (see Hanke et al., 2019). This report describes the rationale and method to obtain a European TV for beach litter, as developed by Member States and other experts within the TG ML. It was concluded by TG ML that a TV cannot be based on quantitative ecological and socio-economic harm due to a lack of scientific data on harm caused by marine litter on beaches. Of the remaining options, the use of the 10th percentile value of the total litter abundance dataset from all European beaches in the baseline period 2015-2016 was selected and applied, as it was considered to be sufficiently precautionary while being based on already available beach litter abundances in the EU. The underlying baseline dataset was developed within the TG ML. Calculation of the 10th percentile of the EU baseline dataset resulted in a value of 13 litter items per 100 m of coastline length. Further consideration of the 95% confidence intervals of the TV and assessment value, respectively, led to a final TV of 20 litter items\/100 m beach length, which corresponds to the 15th percentile value of the EU baseline dataset. This TV is estimated by experts from TG ML to reduce harm from beach litter to a sufficiently precautionary level. The methodology acknowledges uncertainties in the underlying data which is considered in the proposal. The median assessment value is compared with this TV for compliance checking. It is acknowledged that achieving this TV will require substantial and sustained measures over a longer period. Intermediate targets over time towards the proposed TV are proposed to support the achievement of the TV. - , - Published - , - Refereed - , - Current - , - 14.1 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1525", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1525", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1525", "url": "https:\/\/hdl.handle.net\/11329\/1525" }, "author": [ { "@type": "Person", "name": "Van Loon, W." }, { "@type": "Person", "name": "Hanke, G." }, { "@type": "Person", "name": "Fleet, D." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "Barry, J." }, { "@type": "Person", "name": "Strand, J." }, { "@type": "Person", "name": "Eriksson, J." }, { "@type": "Person", "name": "Galgani, F." }, { "@type": "Person", "name": "Gr\u00e4we, D." }, { "@type": "Person", "name": "Schulz, M." }, { "@type": "Person", "name": "Vlachogianni, T." }, { "@type": "Person", "name": "Press, M." }, { "@type": "Person", "name": "Blidberg, E." }, { "@type": "Person", "name": "Walvoort, D." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Marine litter", "Beach litter", "Marine Strategy Framework Directive (MSFD)", "Threshold values (TV)", "Coastlines", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/788", "name": "Protocols for Demonstrating the Performance of In Situ Nutrient Analyzers.", "description": " - There are a number of challenges in assessing nutrient concentrations in aquatic systems that point to the value of sustained in situ observations. High spatial horizontal variability is typical of many coastal, estuarine and fresh water systems, as are strong depth gradients. High temporal variability in natural background concentrations are typical of many locations, often in response to short-term forcing (e.g., vertical mixing) or input events (e.g., runoff, river discharge). A lack of consistent relationships to other variables often makes inferences regarding nutrient-related impacts from other, more easily measured proxies (such as chlorophyll-a fluorescence) problematic. Finally, in many aquatic ecosystems, assessing responses to nutrient inputs from various sources requires monitoring of multiple nutrient species. ACT Nutrient Analyzer Demonstration Protocols ACT PD01-014. In situ nutrient sensors can play an important role in addressing these challenges and offer promise for range of applications including: regulatory, applied, observing system and basic research. For any of these types of applications, users will be concerned about the traditional performance attributes including: reliability, comparability, affordability, and calibration before and through field deployments. However, specific system requirements and performance metrics will vary among the different types of applications. The in situ nutrient sensor technologies that appear likely to remain the dominant commercial options for the next decade are reagent-based in situ auto-analyzers (or fluidics systems) and an optical-based sensors, such as the spectrophotometric measurement of nitrate. The number of available commercial systems has expanded since 2003, and community support for expanded application and further development of these technologies appears warranted. Application in coastal observing systems, including freshwater as well as estuarine and marine environments, was a focus of a recent ACT workshop on in situ nutrient analyzers. Workshop discussion included possible refinements for sustained deployments as part of integrated instrument packages, and means to better promote broader use of nutrient sensors in observing system and management applications. Lastly, the workshop also made a number of specific recommendations concerning the testing protocols that will be used for this Nutrient Sensors Demonstration. - , - Published - , - Refereed - , - Current - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/788", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/788", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/788", "url": "https:\/\/hdl.handle.net\/11329\/788" }, "author": [ { "@type": "Person", "name": "Johengen, T." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1166", "name": "Manual on Marine Meteorological Services - Volume I \u2014 Global Aspects: Annex VI to the WMO Technical Regulations. 2012 edition, updated in 2018.", "description": " - Purpose and scope of the Manual on Marine Meteorological Services. 1.The Manual on Marine Meteorological Services (WMO-No. 558) is issued in accordance with a decision of the Eighth World Meteorological Congress. 2.This Manual is designed: (a)To specify obligations of Members in the implementation of Marine Meteorological Services (MMS); (b)To facilitate cooperation in respect of the international coordination of MMS, in particular the delivery of the International Maritime Organization (IMO)\/WMO Worldwide Met-Ocean Information and Warning Service (WWMIWS); (c)To facilitate cooperation between the World Weather Watch (WWW) and MMS;(d)To ensure adequate uniformity and standardization in the practices and procedures followed to achieve (a), (b) and (c) above. 3.The Manual consists of Volumes I and II, dealing with global and regional aspects, respectively. Volume I is composed of seven parts, which contain the regulatory material dealing essentially with international obligations of Members to provide MMS for the high seas, offshore, coastal and local waters. Additional obligations, if any, for national marine activities should be met in accordance with local practices and procedures. 4.The regulatory material stems from recommendations of the Joint WMO\/ IOC Technical Commission for Oceanography and Marine Meteorology (JCOMM) and the former Commission for Marine Meteorology (CMM), from resolutions of regional associations and from decisions taken by Congress and the Executive Council.5.Volume I of the Manual \u2013 Global Aspects \u2013 forms part of the Technical Regulations (WMO-No. 49) and is referred to as Annex VI to the Technical Regulations. It should be read in conjunction with the three volumes and the set of annexes which together comprise the Technical Regulations.6.Volume II of the Manual \u2013 Regional Aspects \u2013 does not form part of the Technical Regulations. 7.Members will implement and operate their respective MMS in accordance with decisions of Congress, the Executive Council, the technical commissions and regional associations. Where those decisions are technical and regulatory in nature, they will, in due course, be documented in the Technical Regulations.8.The Manual on Marine Meteorological Services (WMO-No. 558) is supported by the Guide to Marine Meteorological Services ( WMO - No. 471 - , - Published - , - Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1166", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1166", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1166", "url": "https:\/\/hdl.handle.net\/11329\/1166" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Parameter Discipline::Atmosphere::Meteorology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/214", "name": "Hazard awareness and risk mitigation in integrated coastal management (ICAM).", "description": " - These guidelines have been compiled by an international group of experts working under the auspices of IOC. The group included specialists in the fields of sea-level related hazards, marine meteorology vulnerability and risk in respect of natural hazards, early warning and preparedness, risk mitigation, and coastal zone management. - , - Supported by IOC for UNESCO. - , - Published - , - Integrated coastal management - , - Document available in English. - , - Non-Refereed - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/214", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/214", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/214", "url": "https:\/\/hdl.handle.net\/11329\/214" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Integrated coastal zone management", "Weather hazards", "Risk management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/604", "name": "A Systematic Review of Marine-Based Species Distribution Models (SDMs) with Recommendations for Best Practice.", "description": " - In the marine environment Species Distribution Models (SDMs) have been used in hundreds of papers for predicting the present and future geographic range and environmental niche of species. We have analyzed ways in which SDMs are being applied to marine species in order to recommend best practice in future studies. This systematic review was registered as a protocol on the Open Science Framework: https:\/\/ osf.io\/tngs6\/. The literature reviewed (236 papers) was published between 1992 and July 2016. The number of papers significantly increased through time (R2 = 0.92, p < 0.05). The studies were predominantly carried out in the Temperate Northern Atlantic (45%) followed by studies of global scale (11%) and studies in Temperate Australasia (10%). The majority of studies reviewed focused on theoretical ecology (37%) including investigations of biological invasions by non-native organisms, conservation planning (19%), and climate change predictions (17%). Most of the studies were published in ecological, multidisciplinary, or biodiversity conservation journals. Most of the studies (94%) failed to report the amount of uncertainty derived from data deficiencies and model parameters. Best practice recommendations are proposed here to ensure that novice and advanced SDM users can (a) understand the main elements of SDMs, (b) reproduce standard methods and analysis, and (c) identify potential limitations with their data. We suggest that in the future, studies of marine SDMs should report on key features of the approaches employed, data deficiencies, the selection of the best explanatory model, and the approach taken to validate the SDM results. In addition, based on the literature reviewed, we suggest that future marine SDMs should account for uncertainty levels as part of the modeling process. - , - Refereed - , - 14.a - , - Phytoplankton biomass and diversity; Zooplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Marine turtles, birds, mammals abundance and distribution - , - Benthic invertebrate abundance and distribution - , - Guide - , - 2017-07-21 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/604", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/604", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/604", "url": "https:\/\/hdl.handle.net\/11329\/604" }, "author": [ { "@type": "Person", "name": "Robinson, Nestor M." }, { "@type": "Person", "name": "Nelson, Wendy A." }, { "@type": "Person", "name": "Costello, Mark J." }, { "@type": "Person", "name": "Sutherland, Judy E." }, { "@type": "Person", "name": "Lundquist, Carolyn J." } ], "keywords": [ "Distributional patterns", "Model validation", "SDMs", "Predictive models", "Species distribution models", "Parameter Discipline::Biological oceanography::Biota composition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1258", "name": "How to document - Ocean Acidification Data.", "description": " - The number of ocean acidification (OA) studies has increased significantly over the last decade. Most of this was due to studies on biological responses of organisms to OA. The lack of a protocol to document biological response OA data prevents the research community from properly archiving, discovering, accessing, and utilizing this important body of OA data sets. In this e\u2010Lecture, we present how to document an OA data set by explaining major components of a metadata template, which can be applied to a broad spectrum of OA studies, including those studying the biological responses to OA. The major metadata components include Investigators, Title, Abstract, Temporal coverage, Spatial coverage, Geographic names, Location of organism collection, Platforms, Variable metadata clusters, Publications describing the data set, and Supplementary information. Of these components, Variable metadata clusters (variables and their metadata sub\u2010elements) are treated as the focal point of the template. In addition to variable name , other metadata elements include the observation type, whether it is an in\u2010situ observation, manipulation condition, or response variable, biological subject, life stage of the biological subject, etc. Information about how to access the metadata template files is also stated. A PDF snapshot of the lecture slides is available for quick reference. The complete set of lecture materials, including the full lecture (slide presentation), lecture notes, and reading lists, is contained in a zip file under the Supporting Information tab - , - Refereed - , - 14 - , - Inorganic carbon - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1258", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1258", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1258", "url": "https:\/\/hdl.handle.net\/11329\/1258" }, "author": [ { "@type": "Person", "name": "Jiang, L-Q." }, { "@type": "Person", "name": "Arzayus, K.M." }, { "@type": "Person", "name": "Gattuso, J-P." }, { "@type": "Person", "name": "Garcia, H.E." }, { "@type": "Person", "name": "Chandler, C." }, { "@type": "Person", "name": "Kozyr, A." }, { "@type": "Person", "name": "Yang, Y." }, { "@type": "Person", "name": "Thomas, R." }, { "@type": "Person", "name": "Beck, B." }, { "@type": "Person", "name": "Spears, T." } ], "keywords": [ "Ocean acidification", "Parameter Discipline::Chemical oceanography::Carbonate system", "Data Management Practices::Data processing", "Data Management Practices::Metadata management", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/883", "name": "IOCCP-JAMSTEC 2018 Inter-laboratory Calibration Exercise of a Certified Reference Material for Nutrients in Seawater.", "description": " - In 2017, the International Ocean Carbon Coordination Project (IOCCP) and the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) decided to conduct the 6th International Inter-Calibration Exercise, the \u201c2017\/18 inter-laboratory comparison exercise of Certified Reference Materials of Nutrients in Seawater, CRM\u201d. As was the case with the previous four inter-comparison (IC) studies organized by MRI-JMA and the previous IOCCCP-JAMSTEC IC exercise in 2015, the aim of this IC exercise was to improve the level of comparability by exchanging knowledge among participating laboratories. The scale of the study was expanded. One hundred seven laboratories in 33 countries across five continents received a letter of invitation to the IC exercise, and 71 laboratories in 30 counties agreed to participate in this IC exercise. Results were returned from 69 laboratories in 30 countries. The data were statistically analyzed, and the results are described in this report. The agreement between consensus median\/mean and certified values was within uncertainty for all five samples used in this IC exercise. Only small discrepancies existed among core laboratories that reported close-to-consensus values and certified values. Normalized cumulative distributions for nitrate and phosphate obtained in 2018 were better (i.e., flatter) than the normalized cumulative distributions obtained from previous IC exercises conducted in 2008, 2012, and 2015. The indication is that comparability of nitrate and phosphate analysis among the laboratories has gradually improved from 2008 to 2018. In contrast with the nitrate and phosphate results, the normalized cumulative distribution for silicate obtained in 2018 was similar to the distributions in previous years. The indication is that comparability of silicate analysis among the laboratories has not changed during these years. The results of this IC exercise also showed that nonlinearity of the calibration curves for the nutrient analyses in each laboratory is still a significant source of reduced comparability of nutrient data. Analysis of ranked scatter plots led to this conclusion. The implication is that we need to use a set of nutrient CRMs, the concentrations of which cover the whole range of nutrient concentrations in the world\u2019s oceans to maintain comparability of results. Thirty-eight laboratories among 69 laboratories used a CRM\/RM. The remaining 31 laboratories did not use a CRM\/RM or did not reply to the questionnaire. It is obvious that the number of the laboratories that use CRMs has been increasing since 2008. In general, the reported results from laboratories that used CRMs were located in the central part of the ranked plots and showed good Z-scores, as expected. The results of this IC exercise imply that the majority of the participating laboratories are very capable of measuring nutrient concentrations in seawater, and using CRMs will further increase the comparability of results. The results may be SI traceable in the near future - , - Published - , - Authorship: Aoyama, M; Abad, M; Aguilar-Islas, A; Ashraf P, M; Azetsu-Scott, K; Bakir, A; Becker, S; Benoit-Cattin-Breton, A; Berdalet, E; Bj\u00f6rkman, K; Blum, M; de Santis Braga, E; Caradec, F; Cariou, T; Chiozzini, VG; Collin, K; Coppola, L; Crump, M; Dai, M; Daniel, A; Davis, C; Solis, ME; Edelvang, K; Faber, D; Fidel, R; Fonnes, LL; Frank, J; Frew, P; Funkey, C; Gallia, R; Giani, M; Gkritzalis, T; Grage, A; Greenan, B; Gundersen, K; Hashihama, F; Ibar, VFC; Jung, J; Kang, SH; Karl, D; Kasai, H; Kerrigan, LA; Kiyomoto, Y; Knockaert, M; Kodama, T; Koo, J-H; Kralj, M; Kramer, R; Kress, N; Lainela, S; Ledesma, J; Lewandowska, J; L\u00f3pez, MDCA; L\u00f3pez Garc\u00eda, P; Ludwichowski, K-W; Mahaffey, C; Malien, F; Margiotta, F; M\u00e1rquez, A; Mawji, EW; McCormack, T; McGrath, T; Le Merrer, Y; M\u00f8gster, JS; Nagai, N; Naik, H; Normandeau, C; Ogawa, H; \u00d3lafsd\u00f3ttir, SR; Ooijen, JV; Paranhos, R; Park, M-OK; Parmentier, K; Passarelli, A; Payne, C; Pierre-Duplessix, O; Povazhnyi, V; Quesnel, S-A; Raimbault, P; Rees, C; Rember, R; Rho, TK; Ringuette, M; Riquier, ED; Rodriguez, A; Roman, RE; Rosero, C; Woodward, EMS; Saito, S; Schuller, D; Segal, Y; Silverman, J; S\u00f8rensen, D; Stedmon, CA; Stinchcombe, M; Sun, J; Thamer, P; Urbini, L; Wallace, D; Walsham, P; Wang, L; Waniek, J; Yamamoto, H; Yoshimura, T; Zhang, J-Z. - , - Refereed - , - Current - , - 14.1 - , - Nutrients - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/883", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/883", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/883", "url": "https:\/\/hdl.handle.net\/11329\/883" }, "author": [ { "@type": "Person", "name": "Aoyama, Michio" }, { "@type": "Person", "name": "et al" } ], "contributor": [ { "@type": "Organization", "name": "International Ocean Carbon Coordination Project \/ Japan Agency for Marine-Earth Science and Technology" } ], "keywords": [ "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1934", "name": "Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets.", "description": " - Open-source science builds on open and free resources that include data, metadata, software, and workflows. Informed decisions on whether and how to (re)use digital datasets are dependent on an understanding about the quality of the underpinning data and relevant information. However, quality information, being difficult to curate and often context specific, is currently not readily available for sharing within and across disciplines. To help address this challenge and promote the creation and (re) use of freely and openly shared information about the quality of individual datasets, members of several groups around the world have undertaken an effort to develop international community guidelines with practical recommendations for the Earth science community, collaborating with international domain experts. The guidelines were inspired by the guiding principles of being findable, accessible, interoperable, and reusable (FAIR). Use of the FAIR dataset quality information guidelines is intended to help stakeholders, such as scientific data centers, digital data repositories, and producers, publishers, stewards and managers of data, to: i) capture, describe, and represent quality information of their datasets in a manner that is consistent with the FAIR Guiding Principles; ii) allow for the maximum discovery, trust, sharing, and reuse of their datasets; and iii) enable international access to and integration of dataset quality information. This article describes the processes that developed the guidelines that are aligned with the FAIR principles, presents a generic quality assessment workflow, describes the guidelines for preparing and disseminating dataset quality information, and outlines a path forward to improve their disciplinary diversity - , - Refereed - , - 14.a - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1934", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1934", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1934", "url": "https:\/\/hdl.handle.net\/11329\/1934" }, "author": [ { "@type": "Person", "name": "Peng, G.." }, { "@type": "Person", "name": "Lacagnina, C." }, { "@type": "Person", "name": "Downs, R.R." }, { "@type": "Person", "name": "Ganske, A." }, { "@type": "Person", "name": "Ramapriyan, H.K." }, { "@type": "Person", "name": "Iv\u00e1nov\u00e1, I." }, { "@type": "Person", "name": "Wyborn, L." }, { "@type": "Person", "name": "Jones, D." }, { "@type": "Person", "name": "Bastin, L." }, { "@type": "Person", "name": "Shie, C-L," }, { "@type": "Person", "name": "Moroni, D.F." } ], "keywords": [ "Data quality", "Open-source science", "FAIR guidelines", "Metadata", "Cross-discipline", "Metadata management", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1081", "name": "Advancing Observation of Ocean Biogeochemistry, Biology, and Ecosystems With Cost-Effective in situ Sensing Technologies.", "description": " - Advancing our understanding of ocean biogeochemistry, biology, and ecosystems relies on the ability to make observations both in the ocean and at the critical boundaries between the ocean and other earth systems at relevant spatial and temporal scales. After decades of advancement in ocean observing technologies, one of the key remaining challenges is how to cost-effectively make measurements at the increased resolution necessary for illuminating complex system processes and rapidly evolving changes. In recent years, biogeochemical in situ sensors have been emerging that are threefold or more lower in cost than established technologies; the cost reduction for many biological in situ sensors has also been significant, although the absolute costs are still relatively high. Cost savings in these advancements has been driven by miniaturization, new methods of packaging, and lower-cost mass-produced components such as electronics and materials. Recently, field projects have demonstrated the potential for science-quality data collection via large-scale deployments using cost-effective sensors and deployment strategies. In the coming decade, it is envisioned that ocean biogeochemistry and biology observations will be revolutionized by continued innovation in sensors with increasingly low price points and the scale-up of deployments of these in situ sensor technologies. The goal of this study is therefore to: (1) provide a review of existing sensor technologies that are already achieving cost-effectiveness compared with traditional instrumentation, (2) present case studies of cost-effective in situ deployments that can provide insight into methods for bridging observational gaps, (3) identify key challenge areas where progress in cost reduction is lagging, and (4) present a number of potentially transformative directions for future ocean biogeochemical and biological studies using cost-effective technologies and deployment strategies. - , - Refereed - , - 14 - , - Standard Operating Procedure - , - Guide - , - 2018-11-07 - , - - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1081", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1081", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1081", "url": "https:\/\/hdl.handle.net\/11329\/1081" }, "author": [ { "@type": "Person", "name": "Wang, Zhaohui Aleck" }, { "@type": "Person", "name": "Moustahfid, Hassan" }, { "@type": "Person", "name": "Mueller, Amy V." }, { "@type": "Person", "name": "Michel, Anna P. M." }, { "@type": "Person", "name": "Mowlem, Matthew" }, { "@type": "Person", "name": "Glazer, Brian T." }, { "@type": "Person", "name": "Mooney, T. Aran" }, { "@type": "Person", "name": "Michaels, William" }, { "@type": "Person", "name": "McQuillan, Jonathan S." }, { "@type": "Person", "name": "Robidart, Julie C." }, { "@type": "Person", "name": "Churchill, James" }, { "@type": "Person", "name": "Sourisseau, Marc" }, { "@type": "Person", "name": "Daniel, Anne" }, { "@type": "Person", "name": "Schaap, Allison" }, { "@type": "Person", "name": "Monk, Sam" }, { "@type": "Person", "name": "Friedman, Kim" }, { "@type": "Person", "name": "Brehmer, Patrice" } ], "keywords": [ "In-situ sensors", "OceanObs", "Sensor technology", "EOV", "Biogeochemistry", "Biology", "Cost effective", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2387", "name": "Best practices for Core Argo floats: Getting started, physical handling, metadata, and data considerations. Version 1. [GOOS ENDORSED PRACTICE]", "description": " - Argo floats have been deployed in the global ocean for over 20 years. The Core mission of the Argo program (Core Argo) has contributed well over 2 million profiles of salinity and temperature of the upper 2000 m for a variety of operational and scientific applications. Core Argo floats have evolved such that the program currently consists of more than eight types of Core Argo float, some of which belong to second or third generation developments, three unique satellite communication systems and two types of Conductivity, Temperature and Depth (CTD) sensor systems. Coupled with a well-established data management system, with delayed mode quality control, makes for a very successful ocean observing network. Here we present the Best Practices for Core Argo floats in terms of float types, physical handling and deployments, recommended metadata parameters and the data management system. The objective is to encourage new and developing scientists, research teams and institutions to contribute to the OneArgo Program, specifically to the Core Argo mission. Only by leveraging sustained contributions of current Core Argo float groups with new and emerging Argo teams and users, can the OneArgo initiative be realised. This paper makes involvement with the Core Argo mission smoother by providing a framework endorsed by a wide community for these observations. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea surface temperature - , - Subsurface temperature - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Argo floats - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2387", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2387", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2387", "url": "https:\/\/hdl.handle.net\/11329\/2387" }, "author": [ { "@type": "Person", "name": "Morris, Tamaryn" }, { "@type": "Person", "name": "Scanderbeg, Megan" }, { "@type": "Person", "name": "West-Mack, Deborah" }, { "@type": "Person", "name": "Gourcuff, Claire" }, { "@type": "Person", "name": "Poffa, No\u00e9" }, { "@type": "Person", "name": "Bhaskar, T.V.S.U" }, { "@type": "Person", "name": "Hanstein, Craig" }, { "@type": "Person", "name": "Diggs, Steve" }, { "@type": "Person", "name": "Talley, Lynne" }, { "@type": "Person", "name": "Turpin, Victor" }, { "@type": "Person", "name": "Liu, Zenghong" }, { "@type": "Person", "name": "Owens, Breck" } ], "contributor": [ { "@type": "Organization", "name": "South African Environmental Observation Network (SAEON)" } ], "keywords": [ "Core Argo floats", "Deployment", "Transportation", "Exclusive Economic Zone (EEZ)", "GOOS Endorsed Practice", "Water column temperature and salinity", "Data acquisition", "Data processing", "Data quality management", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/534", "name": "Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos. N\u00famero 2\/2017.", "description": " - The \u201cColombian Oceanographic Data and Information Coordination Committee\u201d (CTN Diocean, by its initials in Spanish) was created by Resolution No. 005\/2015 of the Colombian Ocean Commission (CCO, by its initials in Spanish), to promote the articulation of efforts and institutional capacities in colombian oceanographic data and marine information management. One of the concerns of the CTN Diocean is the ocean data and information access and exchange at the national, regional and local level; for this reason, it created the Working Group on Best Practices in Data Management (GT MPGD, by its initials in Spanish) and included in its Work Plan 2015-2020 the identification and recommendation of best practices on management, conservation, publication and exchange of colombian oceanic data. In this framework, the GT MPGD presents the second edition of a special publication titled \"Reference Manual on Best Practices of Oceanic Data Management\", which contains a set of recommendations already accepted in national and international community, which is expected to be incorporated by the producers and managers of Colombian ocean data and information. This edition includes an updated national inventory of ocean data information systems; best practices for access and data exchange policy (regulatory framework, principles, among others); type and description of licenses and use agreements; and experiences of national data exchange. - , - Published - , - Refereed - , - Colombia como Estado miembro de la Comisi\u00f3n Oceanogr\u00e1fica Intergubernamental (COI) de la Organizaci\u00f3n de las Naciones Unidas para la Educaci\u00f3n, la Ciencia y la Cultura (UNESCO), implementa las recomendaciones del programa para el Intercambio Internacional de Datos e Informaci\u00f3n Oceanogr\u00e1fica (IODE). El objetivo primordial de IODE es mejorar la investigaci\u00f3n marina, facilitando el intercambio de datos e informaci\u00f3n oceanogr\u00e1fica en respuesta a las necesidades de usuarios y productos de datos e informaci\u00f3n. A nivel nacional, IODE promueve el establecimiento de un Comit\u00e9 Nacional de Coordinaci\u00f3n que re\u00fana los principales actores involucrados en la recopilaci\u00f3n y gesti\u00f3n de datos, incluido el Centro Nacional de Datos Oceanogr\u00e1ficos (NODC2), para encargarse entre otras tareas, de fomentar el uso de metodolog\u00edas est\u00e1ndar y mejores pr\u00e1cticas para el correcto manejo de datos. Es as\u00ed como en Colombia, esta figura fue adoptada en el 2015 por la Comisi\u00f3n Colombiana del Oc\u00e9ano (CCO), con el nombre \u201cComit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n Datos e Informaci\u00f3n Oce\u00e1nica, CTN DIOCEAN\u201d (Resoluci\u00f3n SECCO N\u00b0005, 2015), que cumple con la recomendaci\u00f3n de IODE, y adem\u00e1s apoya el modelo adoptado por el pa\u00eds para facilitar y coordinar la gesti\u00f3n de datos e informaci\u00f3n. En este contexto, el Grupo de Trabajo en Mejores Pr\u00e1cticas en Gesti\u00f3n de Datos (GT MPGDO) que hace parte del CTN DIOCEAN, emite el segundo n\u00famero del Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos, como parte de su responsabilidad nacional de elaborar documentos t\u00e9cnicos y gu\u00edas para promover la adopci\u00f3n de pr\u00e1cticas de gesti\u00f3n de datos en el pa\u00eds, prestando apoyo a las redes de monitoreo existentes. Este manual incluye en su segundo n\u00famero, un primer inventario nacional de entidades que cuentan con sistemas que permiten el acceso a datos e informaci\u00f3n; mejores pr\u00e1cticas para la formulaci\u00f3n de pol\u00edticas de acceso e intercambio de datos (marco normativo, principios, entre otros); la descripci\u00f3n del conjunto de licencias y acuerdos de uso que viene adoptando el pa\u00eds; y la presentaci\u00f3n de experiencias de intercambio nacional de datos. - , - Current - , - 14.A - , - Sea surface temperature - , - Subsurface temperature - , - Subsurface currents - , - Surface currents - , - Sea surface salinity - , - Subsurface salinity - , - Oxygen - , - Nutrients - , - Particulate matter - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Fsh abundance and distribution - , - Hard coral cover and composition - , - Seagrass cover and composition - , - TRL 1 Basic principles observed and reported - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/534", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/534", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/534", "url": "https:\/\/hdl.handle.net\/11329\/534" }, "author": [ { "@type": "Person", "name": "Mart\u00ednez Santos, Juan Carlos" }, { "@type": "Person", "name": "Ortiz Mart\u00ednez, Ruby Viviana" }, { "@type": "Person", "name": "Garz\u00f3n, Jaime Alberto" }, { "@type": "Person", "name": "Morales Escobar, Ana Alexandra" }, { "@type": "Person", "name": "Garc\u00eda Valencia, Carolina" }, { "@type": "Person", "name": "Melo Franco, Jeimmy Yanely" } ], "contributor": [ { "@type": "Organization", "name": "Direcci\u00f3n General Mar\u00edtima" } ], "keywords": [ "Parameter Discipline::Atmosphere", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Environment", "Parameter Discipline::Fisheries and aquaculture", "Parameter Discipline::Marine geology", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::anemometers", "Instrument Type Vocabulary::gas chromatographs", "Instrument Type Vocabulary::bathythermographs", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/668", "name": "Review of analytical methods for determining metabolites of polycyclic aromatic compounds (PACs) in fish bile.", "description": " - In fish, metabolites of polycyclic aromatic compounds (PACs) in gall bladder bile can be used as biomarkers for recent environmental exposure to PACs. These metabolites in the bile result from hepatic biotransformation processes whereby the lipophilic parent PACs are transformed in two steps (hydroxylation and subsequent conjugation) to more soluble forms and then passed to the gall bladder for elimination from the organism. As a biomarker of exposure, the determination of PAC metabolites in bile has several advantages over other assessment techniques. Several bile PACs are strong fluorophores and can thus be measured semi-quantitatively and very easily by means of straightforward fluorescence detection techniques. For example, fixed fluorescence detection and synchronous fluorescence scanning can be used for this purpose. These techniques are excellent for rapid screening of overall PAC exposure levels, but less suitable for the determination of individual compounds. The next level of resolution is reached with a high-performance liquid chromatographic (HPLC) separation of the conjugated bile metabolites prior to the fluorescence detection, so that individual metabolites and their patterns are discernable. Furthermore, PAC metabolites in bile can be enzymatically hydrolyzed to allow detection of free hydroxy PACs. After a centrifugation step the sample can be measured directly by HPLC\/fluorescence (F). For analysis by gas chromatography\/mass spectrometry (GC\/MS) an extraction procedure is normally used to separate the hydroxy PACs from the bile matrix; derivatization can be used in order to increase separation and sensitivity. The latter set of methodological approaches can be used to determine individual metabolites, and a large number of hydroxy PACs are available as standards for accurate quantitation. In general, GC\/MS methods are optimal for smaller compounds with 2\u20133 rings due to their better selectivity, while HPLC\/F often provides better detection limits for larger metabolites with 4\u20135 rings. In the present review, the state-of-the-art for the various alternative methods is presented. Aspects of analytical quality control, interlaboratory comparability of data and the use of certified reference materials are also discussed. The advantages and limitations of each approach are discussed with respect to the use of PAC metabolites in bile as biomarkers of environmental PAC exposure in fish. - , - Published - , - Refereed - , - Current - , - 14.A - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/668", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/668", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/668", "url": "https:\/\/hdl.handle.net\/11329\/668" }, "author": [ { "@type": "Person", "name": "Ariese, F." }, { "@type": "Person", "name": "Beyer, J." }, { "@type": "Person", "name": "Jonsson, G." }, { "@type": "Person", "name": "Porte, C." }, { "@type": "Person", "name": "Krahn, M.M." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "PAC pollution", "Environmental monitoring", "Bile metabolites", "Biomarker", "Parameter Discipline::Biological oceanography::Fish" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/712", "name": "Temporal trend monitoring: Robust method for analysing contaminant trend monitoring data.", "description": " - This document describes a new method of assessing contaminant trends in fish muscle, fish liver, and shellfish. Previous methods of assessing trend data have often been complicated by the need to respond to unusual features of the data, either in the way they were collected, processed, or in their distribution. These complications are discussed in detail to show the reasoning behind the method described here, which aims to provide a simpler, robust and more complete method of analysing and presenting trends. Essentially, the method summarizes trends using a smoother, a specific class of smooth curves fitted to median log-concentrations. The theory and methodology of fitting smoothers is new and our knowledge of the performance of the fitted smoothers, particularly with small sample sizes, is only approximate. Although a preliminary application of the new method to the 1993 assessment of the data from the Joint Monitoring Programme of the Oslo and Paris Commissions was promising, more assessment and development of the method will be necessary. A very simple smoother is used here to make the computations and theory easy to follow. A detailed worked example IS provided. Statistical theory and formulae are included as annexes. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/712", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/712", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/712", "url": "https:\/\/hdl.handle.net\/11329\/712" }, "author": [ { "@type": "Person", "name": "Nicholson, M. D." }, { "@type": "Person", "name": "Fryer, R. J." }, { "@type": "Person", "name": "Larsen, J. R." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2313", "name": "Methods and tools for Citizen Participation and Co-Creation.", "description": " - This document presents a selection of 40 tools or methodologies for citizen involvement in the form of meeting places, participation in planning processes, dialogue through digital tools, knowledge acquisition and new approaches to mobilize volunteers and promote engagement. We have also roughly listed different financial models for collaboration processes. The document is part of Arendal municipality\u2019s project \u201cSamskaping i Arendal\u201d (Co-creation in Arendal) funded by the County Governor of Agder County. The descriptions in this memo are not intended to be guides on how participation and co-creation should be carried out, but be used as inspiration for possible opportunities in the work of citizen participation. References to relevant websites, booklets, manuals etc., as well as available research are provided. It is encouraged to test out new methodologies as listed below, and seek more information on how these can be implemented. - , - Published - , - Refereed - , - Current - , - Mature - , - Validated (tested by third parties) - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2313", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2313", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2313", "url": "https:\/\/hdl.handle.net\/11329\/2313" }, "author": [ { "@type": "Person", "name": "Guribye, Eugene" }, { "@type": "Person", "name": "Iversen, Lisbeth" } ], "contributor": [ { "@type": "Organization", "name": "Norwegian Research Centre AS (NORCE)" } ], "keywords": [ "Citizen Science", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2615", "name": "Best practices sharing between networks. MINKE Deliverable 4.6.", "description": " - MINKE is the first effort to bring together different actors in the metrology laboratories and the diverse marine metrology community. Best Practices are being developed throughout the project and are being shared between the networks. MINKE\u2019s Deliverable 4.6 \u201cBest practices sharing between networks\u201d describes MINKE partners connections with EU and Global Observing Networks (eg: ICOS, EMSO, Euro-Argo, JERICO, OceanSites, OOI, ONC). This deliverable covers overlaps, complementarities and potential synergies between different EU Research Infrastructures (RIs) programs in the approach to Best Practices (BPs). A best practice is a methodology that has repeatedly produced superior results relative to other methodologies with the same objective. Harmonised approaches to Best Practice, for verification of Essential Ocean Variable (EOV) measurements, will promote synergy (enhanced outcomes through interaction and cooperation) between RIs. Transnational Access (TNA) is a good opportunity to introduce the ocean community to metrological approaches and Best Practices. Another route to share best practice is through widely advertised Interlaboratory comparisons (ILCs) involving metrology laboratories, Oceanographic institutes and industry. Content of this deliverable will contribute to Metrology paper in Frontiers- A draft of the Frontiers paper is available at: https:\/\/docs.google.com\/document\/d\/1zMX-Q6DjSf5i0d19DzqCN7ooSIGKTXN1\/edit?usp=share_link&ouid= 106174628801424945142&rtpof=true&sd=true - , - MINKE- Project funded by the European Commission within the Horizon 2020 Programme (2014-2020)- GA: 101008724 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Organisational - , - Multi-organisational - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2615", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2615", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2615", "url": "https:\/\/hdl.handle.net\/11329\/2615" }, "author": [ { "@type": "Person", "name": "Hartman, Susan" }, { "@type": "Person", "name": "Craft, Rob" }, { "@type": "Person", "name": "Pabortsava, Katsia" }, { "@type": "Person", "name": "Favali, Paola" }, { "@type": "Person", "name": "Schroeder, Katrin" }, { "@type": "Person", "name": "Del Rio, Joaquin" }, { "@type": "Person", "name": "Thiel, Martin" }, { "@type": "Person", "name": "Morvan, Ga\u00ebl" }, { "@type": "Person", "name": "LeMann, Marc" }, { "@type": "Person", "name": "Lochet, Corine" }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "LeFevre, Dominique" }, { "@type": "Person", "name": "Chirugien, Laure" }, { "@type": "Person", "name": "Salvetat, Florence" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Barrera, Carlos" }, { "@type": "Person", "name": "Gomez, Isabel" }, { "@type": "Person", "name": "Fisicaro, Paola" }, { "@type": "Person", "name": "Merlone, Andrea" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ], "keywords": [ "MINKE Project", "Cross-discipline", "Data interoperability development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1552", "name": "Using the Red Band Difference Algorithm to Detect and Monitor a Karenia spp. Bloom off the South Coast of Ireland, June 2019.", "description": " - During the months of May, June, July and August 2019 the Red Band Difference algorithm was tested over Irish waters to assess its suitability for the Irish harmful algal bloom alert system. Over the 4 weeks of June an extensive localised surface phytoplankton bloom formed in the Celtic Sea, south of Ireland. Satellite imagery from the Sentinel-3a\u2019s Ocean and Land Colour Instrument, processed using the Red Band Difference algorithm detected the bloom in surface shelf waters and helped monitor its movement. Daily satellite images indicated that the bloom appeared at the sea surface on the 2nd June 2019 and peaked in size and surface abundance in offshore shelf waters within 4 weeks, remnants remained at the surface into July. A particle tracking approach was used to replicate oceanic circulation patterns in the vicinity of the observed algal bloom and estimate its trajectory. The initial horizontal distribution of particles in the tracking model were based on a satellite imagery polygon of the bloom when it first appeared in surface waters. Good agreement was observed between satellite imagery of the bloom and the particle tracking model. In situ sampling efforts from a research cruise and the national inshore phytoplankton monitoring programme confirmed that Karenia mikimotoi was the causative organism of the bloom. This pilot study shows great potential to use the Red Band Difference algorithm in the existing Irish harmful algal bloom alert system. In addition, satellite ocean colour data combined with particle tracking model estimates can be a useful tool to monitor high biomass harmful algal bloom forming species, such as Karenia mikimotoi, in surface coastal waters around Ireland and elsewhere. - , - Refereed - , - 14.2 - , - Phytoplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1552", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1552", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1552", "url": "https:\/\/hdl.handle.net\/11329\/1552" }, "author": [ { "@type": "Person", "name": "Jordan, Catherine" }, { "@type": "Person", "name": "Cusack, Caroline" }, { "@type": "Person", "name": "Tomlinson, Michelle C." }, { "@type": "Person", "name": "Meredith, Andrew" }, { "@type": "Person", "name": "McGeady, Ryan" }, { "@type": "Person", "name": "Salas, Rafael" }, { "@type": "Person", "name": "Gregory, Clynton" }, { "@type": "Person", "name": "Croot, Peter L." } ], "keywords": [ "Harmful Algal Blooms", "Red Band Difference", "OLCI", "Remote sensing", "Aquaculture", "Ocean colour", "Particle tracking", "Monitoring programme", "Parameter Discipline::Biological oceanography::Phytoplankton", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/567", "name": "Error Analysis Procedures Used by the National Ocean Service to Compute Estimated Error Bounds for Tidal Datums in the Arctic Ocean.", "description": " - NOAA has an established National Water Level Observation Network (NWLON) along all U.S. coastlines. One purpose of the NWLON is to provide control for tidal datum determination at short-term water level stations installed for hydrographic and shoreline mapping surveys. There are significant gaps in NWLON coverage in Alaska. When short-term (1-12 months) water level stations are installed outside of an NWLON coverage area, a First Reduction (FRED) or arithmetic mean is used for datum determination instead of the preferred simultaneous comparison method that uses a nearby NWLON station to compute a 19-year equivalent National Tidal Datum Epoch (NTDE) datum. The datum error of a FRED is typically greater than the error computed by a simultaneous comparison procedure with an NWLON station. This report describes one method used by NOAA to establish error bounds on FRED tidal datums computed at short-term stations. The standard deviation of monthly Mean Tide level (MTL) at 29 operating and historical water level stations in Alaska with varying time series lengths was used to infer FRED datum errors within the study region. The combined results show that FRED datum errors decrease from 0.120 m, to 0.040 m and 0.008m (one-sigma) for 1, 12, and 228 month time series, respectively. Comparisons across the region show only minor statistical differences, supporting the use of combined values as representing FRED datum errors for the entire study area. These results will help facilitate better estimates of total tide-propagated error and better planning of required subordinate installation time series length in support of hydrographic and shoreline mapping surveys in Alaska. - , - Published - , - Refereed - , - Current - , - Sea surface height - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/567", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/567", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/567", "url": "https:\/\/hdl.handle.net\/11329\/567" }, "author": [ { "@type": "Person", "name": "Michalski, M" }, { "@type": "Person", "name": "Huang, L" }, { "@type": "Person", "name": "Hovis, G" } ], "contributor": [ { "@type": "Organization", "name": "NOAA, NOS Center for Operational Oceanographic Products and Services" } ], "keywords": [ "Tidal datum", "Water level", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2342", "name": "QuietMED D3.5 Best practice guidelines on continuous underwater noise measurement (criterion D11C2).", "description": " - This document is the Deliverable \u201cD3.5 Best practice guidelines on continuous underwater noise monitoring (criterion D11C2)\u201d of the QUIETMED project funded by the DG Environment of the European Commission within the call \u201cDG ENV\/MSFD Second Cycle\/2016\u201d. This call funds the next phase of MSFD implementation, in particular to achieve regionally coherent, coordinated and consistent updates of the determinations of GES, initial assessments and sets of environmental targets by July 2018, in accordance with Article 17(2a and 2b), Article 5(2) and Article 3(5) of the Marine Strategy Framework Directive (2008\/56\/EC). The QUIETMED project aims to enhance cooperation among Member States (MS) in the Mediterranean Sea to implement the Second Cycle of the Marine Directive and in particular to assist them in the preparation of their MSFD reports by 2018 through: i) promoting a common approach at Mediterranean level to update GES and Environmental targets related to Descriptor 11 in each MS marine strategies ii) development of methodological aspects for the implementation of ambient noise monitoring programs (indicator D11C2) iii) development of a joint monitoring programme of impulsive noise (Indicator D11C1) based on a common register, including gathering and processing of available data on underwater noise. This document presents the best practice, guidelines and recommendations on continuous underwater noise measurement which is part of standardised method for monitoring and assessment for criterion D11C2 of Decision 2017\/848\/EU. This deliverable is aimed in bringing basic knowledge and experience in the continuous underwater noise measurement thus insuring common approach of all partners to this issue. Furthermore it gives state of the art and best practice in this area of expertise. Also, guidelines and recommendations for the implementation of the best practice to the pilot deployments foreseen by the QUIETMED project are given. The document is organized in four chapters and two annexes. After the introduction, state of the art of the continuous underwater noise measuring methodologies is given. The generic underwater noise measuring system is described as well as methodology specific measuring systems, namely bottom mounted systems, drifting systems, surface based systems and land based systems. After that, recommendations of best practices on continuous underwater noise measurement in the Mediterranean Sea are given including recommendations for hydrophones and measurement instrumentation (front end electronics amplification and filtering, A\/D converter, data storage) and data storage and handling. Overall recommendations for the measuring system specifications are given and the importance of assessing measurement uncertainty is discussed. In annexes basic acoustic quantities and metrics are defined to be used throughout the whole project and shallow water specific environmental dependence is discussed. The guideline for the assesment of lower cut\u2010off frequency in shallow water is given. - , - European Commission - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2342", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2342", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2342", "url": "https:\/\/hdl.handle.net\/11329\/2342" }, "author": [ { "@type": "Person", "name": "Vukadin, Predrag" }, { "@type": "Person", "name": "Miralles, Ram\u00f3n" }, { "@type": "Person", "name": "le Courtois, Florent" } ], "contributor": [ { "@type": "Organization", "name": "quietMED" } ], "keywords": [ "Underwater sound", "Underwater noise", "Marine Strategy Framework Directive (MSFD)", "Acoustics" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1626", "name": "Improved Calibration and Data Processing Procedures of OPUS Optical Sensor for High-Resolution in situ Monitoring of Nitrate in Seawater.", "description": " - Nitrate, an essential nutrient for primary production in natural waters, is optically detectable in the ultraviolet spectral region of 217\u2013240 nm, with no chemical reagents required. Optical nitrate sensors allow monitoring at high temporal and spatial resolutions that are difficult to achieve with traditional approaches involving collection of discrete water samples followed by wet-chemical laboratory analysis. The optical nitrate measurements are however subject to matrix interferences in seawater, including bromide, at the spectral range of interest. Significant progress has been made over the last 10 years in improving data quality for seawater nitrate analysis using the ISUS and SUNA (Seabird Scientific, United States) optical sensors. Standardization of sensor calibration and data processing procedures are important for ensuring comparability of marine nitrate data reported in different studies. Here, we improved the calibration and data processing of the OPUS sensor (TriOS GmbH, Germany), and tested five OPUS sensors simultaneously deployed under identical conditions in the laboratory in terms of inter-sensor similarities and differences. We also improved the sampling interval of the OPUS to 3 s in a continuous mode by a custom-built controller, which facilitates the integration of the sensor into autonomous profiling systems. Real-time, high-resolution, in situ measurements were conducted through (1) underway surface measurements in the southeastern North Sea and (2) depth profiles on a conductivity\u2013 temperature\u2013depth frame in the tropical Atlantic Ocean. The nitrate data computed from the optical measurements of the sensor agreed with data from discrete water samples analyzed via conventional wet-chemical methods. This work demonstrates that the OPUS sensor, with improved calibration and data processing procedures, allows in situ quantification of nitrate concentrations in dynamic coastal waters and the open ocean, with an accuracy better than 2 mM and short-term precision of 0.4 mM NO3-. The OPUS has a unique depth rating of 6,000 m and is a good and cost-effective nitrate sensor for the research community. - , - , - , - Refereed - , - 14.a - , - Nutrients - , - 2021-07-05 - , - Validated (tested by third parties) - , - Nitrate - , - Optical sensor, Seabird - , - Method - , - Description of a metrology standard - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1626", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1626", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1626", "url": "https:\/\/hdl.handle.net\/11329\/1626" }, "author": [ { "@type": "Person", "name": "Nehir, M\u00fcnevver" }, { "@type": "Person", "name": "Esposito, Mario" }, { "@type": "Person", "name": "Begler, Christian" }, { "@type": "Person", "name": "Frank, Carsten" }, { "@type": "Person", "name": "Zielinski, Oliver" }, { "@type": "Person", "name": "Achterberg, Eric P." } ], "keywords": [ "Nitrate", "Optial sensor", "In situ spectrophotometer", "Ultraviolet spectrophotometer", "Autonomous monitoring", "Nutrients", "nutrient analysers", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/87", "name": "Chemical methods for use in marine environment monitoring. [CHECK STATUS]", "description": " - chemical oceanography; marine environment; oceanographic research; guides; GOOS - , - The Manual contains descriptions of chemical methods for analysis of parameters of general interest in programmes for chemical oceanography, as well as for marine environmental monitoring. It is intended for use by marine science institutes that are or will become involved in such activities, particularly within the Regional Seas Programme of UNEP. - , - http:\/\/unesdoc.unesco.org\/images\/0005\/000559\/055950eo.pdf - , - check with IODE GEBICH for update status - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/87", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/87", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/87", "url": "https:\/\/hdl.handle.net\/11329\/87" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Chemical marine monitoring" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2276", "name": "Lead Detection in Polar Oceans: A Comparison of Different Classification Methods for Cryosat-2 SAR Data.", "description": " - In polar regions, sea-ice hinders the precise observation of Sea Surface Heights (SSH) by satellite altimetry. In order to derive reliable heights for the openings within the ice, two steps have to be fulfilled: (1) the correct identification of water (e.g., in leads or polynias), a process known as lead classification; and (2) dedicated retracking algorithms to extract the ranges from the radar echoes. This study focuses on the first point and aims at identifying the best available lead classification method for Cryosat-2 SAR data. Four different altimeter lead classification methods are compared and assessed with respect to very high resolution airborne imagery. These methods are the maximum power classifier; multi-parameter classification method primarily based on pulse peakiness; multi-observation analysis of stack peakiness; and an unsupervised classification method. The unsupervised classification method with 25 clusters consistently performs best with an overall accuracy of 97%. Furthermore, this method does not require any knowledge of specific ice characteristics within the study area and is therefore the recommended lead detection algorithm for Cryosat-2 SAR in polar oceans. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Cryosat-2 (CS-2) SAR altimeter - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2276", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2276", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2276", "url": "https:\/\/hdl.handle.net\/11329\/2276" }, "author": [ { "@type": "Person", "name": "Dettmering, Denise" }, { "@type": "Person", "name": "Wynne, Alan" }, { "@type": "Person", "name": "Mueller, Felix L." }, { "@type": "Person", "name": "Passaro, Marcello" }, { "@type": "Person", "name": "Seitz, Florian" } ], "keywords": [ "Multi-Parameter Classification Method (MULTI)", "Satellite altimetry", "Lead", "Sea Ice", "Cryosphere", "altimeters" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2234", "name": "High-Resolution Radar Sensing Sea Surface States During AMK-82 Cruise.", "description": " - Every year situation when theArctic seas are free of ice is becoming more frequent. It allows scientists to study hard-to-reach areas using well-equipped research vessels instead of icebreakers. During the COVID-19 pandemic, the successful expedition of the research vessel Academician Mstislav Keldysh with more than 60 scientists from 15 countries across the four Arctic seas (Barents, Kara, Laptev, and East Siberian) on September-November 2020 seems like a real wonder. One of the expedition tasks was remote sensing of different hydrophysical processes by their manifestation on the sea surface using marine radar. This article proposes the method of generating high spatial resolution radar maps of the sea surface and algorithms of hydrophysical processes identification. This article also presents examples of registered processes, such as wind waves, ice fields with different types of ice (grease ice, pancake ice, nilas, and young ice), manifestations of internal waves observed in the Kara Gate and Vilkitsky Strait, as well as manifestations of intense methane seeps on the sea surface. This article contains quantitative estimations of the physical parameters of the observed processes underlying the effectiveness of Doppler marine radars in harsh conditions of the Arctic seas. - , - Refereed - , - 14.a - , - Mature - , - DMR MRS-1000 - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2234", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2234", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2234", "url": "https:\/\/hdl.handle.net\/11329\/2234" }, "author": [ { "@type": "Person", "name": "Ermoshkin, Alexey" }, { "@type": "Person", "name": "Molkov, Alexander" } ], "keywords": [ "Wind waves", "Sea Ice", "Methane seeps", "Doppler marine radar (DMR)", "Waves", "Data processing", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1720", "name": "Collaborative Automation and IoT Technologies for Coastal Ocean Observing Systems.", "description": " - Coastal observing systems are typically nationally funded and built around national priorities. As a result, there are presently significant differences between countries in terms of sustainability, observing capacity and technologies, as well as methods and research priorities. Ocean observing systems in coastal areas must now move toward an integrated, multidisciplinary and multiscale system of systems, where heterogeneity should be exploited to deliver fit-for-purpose products that answer the diversity and complexity of the requirements from stakeholders and end-users. Essential elements of such distributed observation systems are the use of machine- to-machine communication, data fusion and processing applying recent technological developments for the Internet of Things (IoT) toward a common cyberinfrastructure. This perspective paper illustrates some of the challenges for sustained coastal observations and provides details on how to address present gaps. We discuss the role of collaborative robotics between unmanned platforms in coastal areas and the methods to benefit from IoT technologies. Given present trends in cost-effective solutions in ocean sensors and electronics, and methods for marine automation and communication, we consider that a distributed observation system can effectively provide timely information in coastal regions around the world, including those areas that are today poorly observed (e.g., developing countries). Adaptation in space and time of the sensing nodes, and the flexibility in handling different sensing platforms can provide to the system the ability to quickly respond to the rapid changes in oceanic and climatic processes, as well as to promptly respond to evolving stakeholder and end-user requirements. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1720", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1720", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1720", "url": "https:\/\/hdl.handle.net\/11329\/1720" }, "author": [ { "@type": "Person", "name": "Mariani, Patrizio" }, { "@type": "Person", "name": "Bachmayer, Ralf" }, { "@type": "Person", "name": "Kosta, Sokol" }, { "@type": "Person", "name": "Pietrosemoli, Ermanno" }, { "@type": "Person", "name": "Ardelan, Murat V." }, { "@type": "Person", "name": "Connelly, Douglas P." }, { "@type": "Person", "name": "Delory, Eric" }, { "@type": "Person", "name": "Pearlman, Jay S." }, { "@type": "Person", "name": "Petihakis, George" }, { "@type": "Person", "name": "Thompson, Fletcher" }, { "@type": "Person", "name": "Crise, Alessandro" } ], "keywords": [ "Automation", "Robotics", "Internet of Things", "Communication systems", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/303", "name": "Microscopic and molecular methods for quantitative phytoplankton analysis.", "description": " - A new manual on microscopic and molecular methods for quantitative phytoplankton analysis is available from the IOC in cooperation with ICES. The manual includes illustrated step by step instructions on how to carry out the methods. The manual complements the existing IOC Manual on Harmful Marine Microalgae published in 2003. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/303", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/303", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/303", "url": "https:\/\/hdl.handle.net\/11329\/303" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Phytoplankton", "Microalgae", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/885", "name": "Stick or Dye: Evaluating a Solid Standard Calibration Approach for Point-Source Integrating Cavity Absorption Meters (PSICAM) .", "description": " - Together with scattering, the process of absorption determines the propagation of light within the water column. It is influenced by the concentration and composition of optically active substances (phytoplankton, chromophoric-dissolved organic matter, and non-living particles). For this reason, the absorption coefficients of a water sample can provide corresponding information. However, the accurate determination of absorption coefficients in natural waters is often difficult due to the usually low concentration of absorbing material and the errors that scattering on particles introduce in the measurements. These problems can be overcome by instruments based on integrating cavities like the point-source integrating-cavity absorption meter (PSICAM). The accuracy of PSICAM measurements is to a large degree related to the accuracy of the measurement of the reflectivity inside its cavity, as this determines its mean optical path length. A reflectivity measurement (\u201ccalibration\u201d) is usually carried out by measuring a liquid dye (nigrosin) with known absorption coefficients, followed by bleaching and rinsing of the cavity. The procedure requires additional equipment like spectrophotometers and handling of a liquid standard. Therefore, it might be difficult or at least non-convenient under field conditions and is additionally a major obstacle for a potential automation of these systems. In the present study, an alternative calibration approach for a PSICAM is evaluated, taking advantage of a solid standard. The standard is characterized and its suitability for calibration is compared to that of a conventional, nigrosin-based reflectivity measurement. Furthermore, the application in an automated flow-through PSICAM system (HyAbS) used in the field is tested. The results show that the performance of the solid standard calibration is comparable to that of the nigrosinebased calibration. Furthermore, it improves the measurements of the automated system. Thus, due to its simplicity, the solid standard calibration might foster the use of PSICAM systems, which allow a more accurate determination of absorption coefficients in natural water samples compared to conventional spectrophotometric techniques. Furthermore, it will potentially facilitate further approaches to automate these instruments - , - Refereed - , - 14.A - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Guide - , - 2018-09-14 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/885", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/885", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/885", "url": "https:\/\/hdl.handle.net\/11329\/885" }, "author": [ { "@type": "Person", "name": "Wollschl\u00e4ger, Jochen" }, { "@type": "Person", "name": "R\u00f6ttgers, R\u00fcdiger" }, { "@type": "Person", "name": "Petersen, Wilhelm" }, { "@type": "Person", "name": "Zielinski, Oliver" } ], "keywords": [ "Absorption coefficient", "Integrating cavity", "PSICAM", "Instrument calibration", "Solid standard", "Particle scattering", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2385", "name": "Recommendations for the design of in situ sampling strategies to reconstruct fine-scale ocean currents in the context of SWOT satellite mission.", "description": " - The new Surface Water and Ocean Topography (SWOT) satellite mission aims to provide sea surface height (SSH) measurements in two dimensions along a wideswath altimeter track with an expected effective resolution down to 15\u201330 km. In this context our goal is to optimize the design of in situ experiments aimed to reconstruct fine-scale ocean currents (~20 km), such as those that will be conducted to validate the first available tranche of SWOT data. A set of Observing System Simulation Experiments are developed to evaluate different sampling strategies and their impact on the reconstruction of fine-scale sea level and surface ocean velocities. The analysis focuses (i) within a swath of SWOT on the western Mediterranean Sea and (ii) within a SWOT crossover on the subpolar northwest Atlantic. From this evaluation we provide recommendations for the design of in situ experiments that share the same objective. In both regions of study distinct strategies provide reconstructions similar to the ocean truth, especially those consisting of rosette Conductivity Temperature Depth (CTD) casts down to 1000 m and separated by a range of distances between 5 and 15 km. A good compromise considering the advantages of each configuration is the reference design, consisting of CTD casts down to 1000 m and 10 km apart. Faster alternative strategies in the Mediterranean comprise: (i) CTD casts down to 500 m and separated by 10 km and (ii) an underway CTD with a horizontal spacing between profiles of 6 km and a vertical extension of 500 m. In the Atlantic, the geostrophic velocities reconstructed from strategies that only sample the upper 500 m depth have a maximum magnitude ~50% smaller than the ocean truth. A configuration not appropriate for our objective in both regions is the strategy consisting of an underway CTD sampling one profile every 2.5 km and down to 200 m. This suggests that the thermocline and halocline need to be sampled to reconstruct the geostrophic flow at the upper layer. Concerning seasonality, the reference configuration is a design that provides reconstructions similar to the ocean truth in both regions for the period evaluated in summer and also in winter in the Mediterranean. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2385", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2385", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2385", "url": "https:\/\/hdl.handle.net\/11329\/2385" }, "author": [ { "@type": "Person", "name": "Barcelo-Llull, B\u00e0rbara" }, { "@type": "Person", "name": "Pascual, Ananda" } ], "keywords": [ "Surface Water and Ocean Topography (SWOT)", "Observing system simulation experiments", "Ocean currents", "In situ observtions", "Water column temperature and salinity", "altimeters", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1042", "name": "SeaDataNet metadata profile of ISO 19115\u2013XML encoding, Version 11.0.0.", "description": " - Encoding of the SeaDataNet metadata profile in XML, by means of both XML schema and Schematron rules definitions. This document has been drafted in the context of the EU FP7 SeaDataNet II project and EU H2020 SeaDataCloud project by CNR. \u201cISO\/IEC Directives, Part 2: Rules for the structure and drafting of International Standards\u201dwas used as a reference for the drafting. - , - Published - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1042", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1042", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1042", "url": "https:\/\/hdl.handle.net\/11329\/1042" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/286", "name": "The International thermodynamic equation of seawater \u2013 2010: calculation and use of thermodynamic properties. [includes corrections up to 31st October 2015] .", "description": " - This document outlines how the thermodynamic properties of seawater are evaluated using the International Thermodynamic Equation Of Seawater \u2013 2010 (TEOS-\u00ad\u2010\u201110). This thermodynamic description of seawater is based on a Gibbs function formulation from which thermodynamic properties such as entropy, specific volume , enthalpy and potential enthalpy are calculated directly. When determined from the Gibbs function, these quantities are fully consiste nt with each other . Entropy and enthalpy are required for an accurate description of the advection and diffusion of heat in the ocean interior and for quantifying the ocean\u2019s role in exchanging heat with the atmosphere and with ice. The Gibbs function is a function of Absolute Salinity, temperature and pressure. In contrast to Practical Salinity, Absolute Salinity i s expressed in SI units and it includes the influence of the small spatial variations of seawater composition in the global ocean. Absolute Salinity is the appropriate salinity variable for the accurate calculation of horizontal density gradients in the ocean. Absolute Salinity is also the appropriate salinity variable for the calculation of freshwater fluxes and for calculations involving the exchange of fresh water with the atmosphere and with ice . Potential functions are included for ice and for moist air, leading to accurate expressions for numerous thermodynamic properties of ice and air including freezing temperature and latent heats of melting and of evaporation. This TEOS -\u00ad\u2010\u201110 Manual describes how the thermodynamic properties of seawater, ice and moist air are used in order to accurately represent the transport of heat in the ocean and the exchange of heat with the atmosphere and with ice. - , - Published - , - This version of the TEOS-\u00ad\u2010\u201110 Manual includes corrections up to 31st October 2015. Authors: T.J. McDougall; R. Feistel; D.G. Wright; R. Pawlowicz; F.J. Millero; D.R. Jackett; B.A. King; G.M. Marion; S. Seitz; P. Spitzer and C-T.A. Chen . - , - Refereed - , - Current - , - Sea surface salinity - , - Subsurface salinity - , - Maturity Level 5 (Best Practice) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/286", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/286", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/286", "url": "https:\/\/hdl.handle.net\/11329\/286" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "International Thermodynamic Equation of Seawater", "Thermodynamic properties", "Entropy", "Specific volume", "Enthalpy", "Potential enthalpy", "Gibbs function", "Salinity measurement", "Temperature measurement", "TEOS-10", "Absolute salinity", "Reference salinity", "Practical salinity", "SCOR\/IAPSO Working Group 127", "GO-SHIP", "TEOS10", "TEOS10", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2003", "name": "Guidelines for monitoring of water transparency (Secchi depth).", "description": " - Water transparency serves as an index for the trophic state of a water body. It reflects eutrophication through changes in the phytoplankton abundance; increase in the ambient nutrient status in the water leads to higher phytoplankton biomass that diminishes the propagation of light in the water. Water transparency is approached by Secchi depth (Cialdi and Secchi 1865, Whipple 1899). Secchi depth is influenced by dissolved and\/or colloidal inorganic and organic substances as well as total suspended solids and resident seston. It is thus affected by substances unrelated to eutrophication as well. This source of error has to be taken into consideration whenever eutrophication state is assessed using Secchi depth in the Baltic Sea that is optically classified as a Case II water body (Morel and Prieur 1977), i.e., the body where concentrations of colour producing substances (e.g. phytoplankton, inorganic particles and CDOM) vary independently from each other. Those Secchi depth estimations should be treated with special caution that are collected in the sub-basins possessing high absorption by chromophoric dissolved organic matter (the Gulf of Riga, the Gulf of Bothnia). Secchi depth relates to primary production by being a proxy for the thickness of the euphotic zone wherein the large bulk of the gross production takes place. In principle, the euphotic depth is twice Secchi depth, but this relation varies largely in practice (French et al. 1982). 1.2 Purpose and aims Monitoring of Secchi depth provides information of water transparency that is used for assessing direct effects of eutrophication (with certain limitations shown above). The aim is to provide spatiotemporal information for detection of short-term status and long-term trends and to ensure that the data is compatible for the HELCOM core indicator \u2018Water transparency\u2018. The indicator description, including its monitoring requirements, is given in the HELCOM core indicator web site: [http:\/\/helcom.fi\/baltic-sea-trends\/indicators\/water-clarity]. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2003", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2003", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2003", "url": "https:\/\/hdl.handle.net\/11329\/2003" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Water quality", "Secchi disk" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/857", "name": "Southern Ocean Time Series (SOTS) Quality Assessment and Control Report Wetlabs FLNTUS instruments Version 2.0. Fluorescence and optical backscatter records 2009-2016.", "description": " - This report details the quality control applied to the bio-optical data collected from the Southern Ocean Time Series (SOTS) moorings between 2009 and 2016. The quality controlled datasets are publicly available via the AODN Data Portal. This report should be consulted when using the data. - , - Integrated Marine Observing System and Commonwealth Scientific and Industrial Research Organisation - , - Published - , - Non Refereed - , - Current - , - 14 - , - Ocean colour - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/857", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/857", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/857", "url": "https:\/\/hdl.handle.net\/11329\/857" }, "author": [ { "@type": "Person", "name": "Schallenberg, Christina" }, { "@type": "Person", "name": "Jansen, Peter" }, { "@type": "Person", "name": "Trull, Thomas W." } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::fluorometers", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2125", "name": "TechOceanS Sensor Development templates: Requirements Document.", "description": " - The TechOceanS Sensor Development templates have been developed by the Ocean Technology and Engineering group at NOC and have been reviewed and used by partners in the project. The experience of the team has been crucial in defining the information required in these documents during the development of new technology. The User's Manual also includes the latest information included in sensor manuals, templates from the OBPS and recommendations in the ISO 22013. These templates are open to review from the wider community including metrologists, sensor developers, manufacturers and end users. To send your inputs, please, add the information to Google Drive folder (https:\/\/drive.google.com\/drive\/folders\/1lTlI2rHQLHtYl1yGhPniPm7mFE7ZGveD?usp=share_link). - , - EU; Technologies for Ocean Sensing (TechOceanS) project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - Sensor Development templates - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2125", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2125", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2125", "url": "https:\/\/hdl.handle.net\/11329\/2125" }, "contributor": [ { "@type": "Organization", "name": "TechOceanS Consortium" } ], "keywords": [ "Document Templates", "Best practices" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2308", "name": "Advancing best practices for assessing trends of ocean acidification time series.", "description": " - Assessing the status of ocean acidification across ocean and coastal waters requires standardized procedures at all levels of data collection, dissemination, and analysis. Standardized procedures for assuring quality and accessibility of ocean carbonate chemistry data are largely established, but a common set of best practices for ocean acidification trend analysis is needed to enable global time series comparisons, establish accurate records of change, and communicate the current status of ocean acidification within and outside the scientific community. Here we expand upon several published trend analysis techniques and package them into a set of best practices for assessing trends of ocean acidification time series. These best practices are best suited for time series capable of characterizing seasonal variability, typically those with subseasonal (ideally monthly or more frequent) data collection. Given ocean carbonate chemistry time series tend to be sparse and discontinuous, additional research is necessary to further advance these best practices to better address uncharacterized variability that can result from data discontinuities. This package of best practices and the associated opensource software for computing and reporting trends is aimed at helping expand the community of practice in ocean acidification trend analysis. A broad community of practice testing these and new techniques across different data sets will result in improvements and expansion of these best practices in the future. - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2308", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2308", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2308", "url": "https:\/\/hdl.handle.net\/11329\/2308" }, "author": [ { "@type": "Person", "name": "Sutton, Adrienne J." }, { "@type": "Person", "name": "Battisti, Roman" }, { "@type": "Person", "name": "Carter, Brendan" }, { "@type": "Person", "name": "Evans, Wiley" }, { "@type": "Person", "name": "Newton, Jan" }, { "@type": "Person", "name": "Alin, Simone" }, { "@type": "Person", "name": "Bates, Nicholas R." }, { "@type": "Person", "name": "Cai, Wei-Jun" }, { "@type": "Person", "name": "Currie, Kim" }, { "@type": "Person", "name": "Feely, Richard A." }, { "@type": "Person", "name": "Sabine, Christopher" }, { "@type": "Person", "name": "Tanhua, Toste" }, { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "Wanninkhof, Rik" } ], "keywords": [ "Ocean acidification", "Trend analysis", "Time series", "Best practices", "Chemical oceanography", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1728", "name": "Best Practice Framework for the Management of Aquaculture Gear.", "description": " - Over the last decade, there has been considerable attention focused on the scale of ALDFG and the impacts on the aquatic environment by ALDFG through ghost fishing, entanglement and habitat damage (Macfadyen et al. 2009). This attention has been revitalized in recent years by the growing realization of the scale and potentially catastrophic impact of plastic pollution and its accumulation in aquatic ecosystems, and the contribution of ALDFG to this global problem. In 2017, the GGGI took a major step forward by 1 See https:\/\/www.ghostgear.org\/resources producing its Best Practice Framework for the Management of Fishing Gear for wild capture fisheries (C-BPF)1. With the increasing awareness of the impact of plastics on aquatic environments, attention is also being focused on aquaculture. Plastics are used extensively in marine fish farming; for example, in cages (e.g., in the collars and nets themselves, as well as in feeding systems), in coastal fishponds (e.g., in pond liners), and in shellfish farming (e.g., in mussel socks, oyster spat collectors and mussel pegs). These plastics are susceptible to loss through extreme weather events, mismanagement of waste or deliberate discharge. Although global losses of plastics from aquaculture to the aquatic environment are probably lower in volume than from fishing (Huntington, 2019), aquaculture continues to grow worldwide, being the fastest growing food producing sector with an expected growth of 37% by 2030 over 2016 rates (FAO, 2020). The GGGI therefore decided in 2020 to produce a Best Practice Framework for the Management of Aquaculture Gear (A-BPF), commissioning Tim Huntington of Poseidon Aquatic Resource Management Ltd. (Poseidon)\u2014who drafted the original C-BPF\u2014to lead its development - , - This report was made possible due to the generous support of Arthur Vining Davis Foundations, Darden Restaurants, Government of Norway, and Hollomon Price Foundation. - , - Published - , - Tim Huntington of Poseidon Aquatic Resources Management for the preparation of this document as well as Rich Lincoln, Perry Broderick and Dr. Jocelyn Drugan of Ocean Outcomes for leading an extensive stakeholder consultation process to ensure this document is fit for purpose. - , - Current - , - 14.1 - , - Marine debris - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1728", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1728", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1728", "url": "https:\/\/hdl.handle.net\/11329\/1728" }, "contributor": [ { "@type": "Organization", "name": "Poseidon Aquatic Resources Management Ltd. for GGGI" } ], "keywords": [ "Fishing gear", "Plastic pollution", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/466", "name": "Primer regarding measurements of chlorophyll fluorescence and the backscattering coefficient with WETLabs FLBB on profiling floats.", "description": " - This document has been written in response to a request from SOCCOM\u2019s director Jorge Sarmiento for the SOCCOM community. It focuses on the use and interpretation of data collected with the WETLabs FLBB sensor, currently the optical sensor most used on profiling floats. - , - Published - , - Non Refereed - , - Current - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/466", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/466", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/466", "url": "https:\/\/hdl.handle.net\/11329\/466" }, "author": [ { "@type": "Person", "name": "Boss, E.B." }, { "@type": "Person", "name": "Ha\u00ebntjens, N." } ], "contributor": [ { "@type": "Organization", "name": "SOCCOM, Princeton University" } ], "keywords": [ "Chlorophyll", "Fluorescence", "Backscattering coefficient", "Bio-optics", "Profiling floats", "Instrument Type Vocabulary::fluorometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2226", "name": "Report on good practices to prevent and reduce marine plastic litter from fishing activities.", "description": " - This report provides an overview of the status of fishing-related marine plastic litter, focusing specifically on abandoned, lost or otherwise discarded fishing gear (ALDFG or \u201cghost gear\u201d) and evaluating its impact and contribution to the broader marine plastic litter issue. In particular, the preparation of this report supports phase I of the Food and Agriculture Organization of the United Nations (FAO) component of the UNJP\/GLO\/051\/IMO project, Activity 1.1.2, under the GloLitter partnership (hereafter \u201cGloLitter\u201d). GloLitter is implemented by the International Maritime Organization (IMO) and FAO thanks to initial funding from the Government of Norway via the Norwegian Agency for Development Cooperation (Norad). While the quantity of plastic waste from the fishing sector entering the ocean, and in particular ALDFG, is still the subject of conjecture, ALDFG is recognized as the most harmful form of marine litter (Wilcox et al. , 2016) irrespective of whether it has been intentionally discarded or accidentally lost. Focusing on the scientific aspects of the ALDFG problem is part of the mandate for the Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP) Working Group 43 on sea-based sources of marine plastic litter (GESAMP, 2021). In order to determine good practices to prevent, mitigate and remediate ALDFG, it is essential to understand the context of the current situation: this includes the sources, drivers and impacts of ALDFG. Section one of this report therefore provides an overview of ALDFG and its contribution to the broader marine plastic litter issue. Additionally, it summarizes key governance instruments currently in operation to manage and prevent marine plastic litter from fisheries. With this mind, it particularly focus on the two international guidelines that address fishing gear management: the Global Ghost Gear Initiative\u2019s (GGGI) Best Practice Framework for the Management of Fishing Gear for wild capture fisheries (C-BPF), and the FAO Voluntary Guidelines on the Marking of Fishing Gear (VGMFG). Section two presents a series of case studies exemplifying existing good practices to prevent, mitigate or remediate fishing-related marine plastic litter, with a particular focus on ALDFG. As per the GGGI (2021) the categories are defined as: - prevention: avoiding the occurrence of ALDFG in the environment - mitigation: reducing the impact of ALDFG in the environment - remediation: removing ALDFG from the environment. The good practices highlighted provide tried-and-tested measures that can be applied to the design and implementation of viable solution projects in other countries around the world. As well as identifying good practices, section three captures key information gaps, challenges and limitations in addressing ALDFG; these have been informed by the analysis of existing projects and literature review. Based on the case study analysis and the literature review of the broader global context, the final section also offers a series of recommendations that can be incorporated into the development of projects that deal with marine plastic litter from the fishing sector. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2226", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2226", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2226", "url": "https:\/\/hdl.handle.net\/11329\/2226" }, "author": [ { "@type": "Person", "name": "Giskes, Ingrid" }, { "@type": "Person", "name": "Baziuk, Joel" }, { "@type": "Person", "name": "Pragnell-Raasch, Hannah" }, { "@type": "Person", "name": "Perez Roda, Amparo" } ], "contributor": [ { "@type": "Organization", "name": "Food and Agriculture Organization of the United Nations (FAO)" } ], "keywords": [ "Marine plastics", "Marine pollution", "Impact assessment", "Risk reduction", "Fishing Gear", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1672", "name": "Primary Productivity History.", "description": " - A description of the method was written February 2010 by D. Wolgast. Changes to the method are listed below. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1672", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1672", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1672", "url": "https:\/\/hdl.handle.net\/11329\/1672" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Primary productivity", "Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2603", "name": "The Common Procedure for the Identification of the Eutrophication Status of the OSPAR Maritime Area. OSPAR Agreement 2022-07 (Replaces Agreement 2013-08). [ENDORSED PRACTICE]", "description": " - The Common Procedure is the harmonised methodology developed and agreed by OSPAR Contracting Parties for assessing eutrophication in the North-East Atlantic, incorporating the best available scientific knowledge to interpret and assess eutrophication in the North-East Atlantic. In accordance with the ecosystem approach, the Common Procedure is part of a continuous cycle of (i) setting and coordinating ecological objectives and associated targets and indicators, (ii) ongoing management and (iii) regular updates of ecosystem knowledge, research, and advice. Monitoring, assessment, and adaptive management are essential elements for implementing the ecosystem approach. 1.3 OSPAR describes eutrophication status in terms of \u2018Problem\u2019 and \u2018Non-problem\u2019 areas. The ultimate aim of the OSPAR eutrophication strategy is to achieve and maintain non-problem status in all parts of the OSPAR maritime area by 2030. This document is the OSPAR Agreement reached by Contracting Parties describing how, when and where the Common Procedure will be applied to deliver an assessment. 1.4 Although the aim is to achieve non-problem status for all areas before 2030 it is important to recognise that there is a time lag from lowering the pressure, i.e. reducing the nutrient inputs, until the state of the marine ecosystems actually improves (L\u00f8nborg and Markager 2021). 1.5 This Agreement defines the Fourth Application of the Common Procedure. The first application was applied nationally in 2002 with a joint report published 200325. Subsequent applications resulted in joint reports in 200826 and 201727 which contributed to the OSPAR Quality Status Report 2010 and the Intermediate Assessment 2017. This fourth application will provide a basis for the OSPAR Quality Status Report 2023. With the third application, OSPARs eutrophication assessments covered the period from 2006 \u2013 2014 and a long-term period with data back to 1990 for trend assessments in addition. The fourth application will extend this, incorporating data from 2015 \u2013 2020. This fourth application reflects the adaptive management of the ecosystem approach, incorporating a major revision in assessment areas and thresholds based on the best available scientific knowledge from EU projects such as JMP EUNOSAT28, and further developed in OSPARs own Ecological Modelling group ICG-EMO. - , - Published - , - Authors: Michelle Devlin, Hans Ruiter, Lasse Tor Nielsen, Stiig Markager, Francisco Jos\u00e9 G\u00f3mez Jakobsen Antonio S\u00e1nchez S\u00e1nchez, Jes\u00fas Mercado, Victoria Tornero, Alain Lefebvre, David Devreker, Wera Leujak8, Birgit Heyden Hermann Lenhart Lena R\u00f6nn , Katherine Cronin, Sorcha Ni Longphuirt, Robert Wilkes, Georgina McDermott, Lisette Enserink, Theo Prins Sonja van Leeuwen Morten Skogen, Marta Nogueira Philip Axe, Emilie Brevi\u00e8re, Liam Fernand, Kate Collingridge, Vanessa Fairbank, Eileen Bresnan, Xavier Desmit Contributors: Hjalte Parner, Dimitry van der Zande, Philippe Bry\u00e8re, Eleanor Dening, Joanne Foden, Alejandro Iglesias-Campos - , - Refereed - , - Current - , - 14.1 - , - 14.2 - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2603", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2603", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2603", "url": "https:\/\/hdl.handle.net\/11329\/2603" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Eutrophication", "OSPAR", "Nutrients", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/702", "name": "Cadmium and lead: Determination in organic matrices with electrothermal furnace atomic absorption spectrophotometry.", "description": " - Experience has shown that atomic absorption analyses of lead and cadmium with pulsed-type graphite furnaces such as the Massmann design (Massmann, 1968) often are subject to various kinds of serious matrix interferences. Several authors, in particular L'vov (1976); Sturgeon and Chakrabarti (1977); Gregoire and Chakrabarti (1977); Van den Broek and de Galan (1977); Slavin and Manning (1979); Hageman et al. (1979); and L'vov and Ryabchuck (1982), have explained both by theoretical analyses and experimental measurements that many of the observed interference problems result in fact from the non-uniform temperature environment provided by the furnace. A methodological approach apt to reduce deterioration of analyte response is the application of chemical separation techniques prior to the determination step. Extraction of metal ions in the form of a chelate by an organic solvent is one of the most suitable methods. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/702", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/702", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/702", "url": "https:\/\/hdl.handle.net\/11329\/702" }, "author": [ { "@type": "Person", "name": "Harms, U." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2358", "name": "JERICO-S3 D.5.5 - WP5 - Report on the functional homogenization tools that will support the implementation of best practices within the JERICO-RI. Version 1.0.", "description": " - This document describes a series of functional tools available for the JERICO-RI community supporting the harmonized management of mature coastal observing platforms as described in JERICO-S3 D5.2, namely Mooring, FerryBox, High Frequency Radar, Underwater Glider. They include tools entirely designed and realized within JERICO-S3 and tools that have received a substantial contribution from JERICO-S3 discussions, deliverables, workshops, and have been developed in a collaborative framework with other projects. Tools span from software routines for data management and data Quality Control to web applications for joint management of platform issues to methods and guidelines for structuring practices documentation and assessing their maturity level. After the introduction, a main section contains the descriptions of each tool according to a uniform scheme. First, a table is provided summarizing key information like the tool\u2019s purpose, scope of applicability, the link to the tool itself and to its documentation. Then, the tool and its features are described with a minimum level of detail. A second paragraph highlights the added value and contribution deriving from actual and\/or previous work in JERICO projects, aimed at supporting the tool development. The contribution could be in terms of best practices, deliverables, workshops, surveys, etc. The last paragraph is dedicated to the foreseen and potential use of the tool in a wider context and\/or as a component or framework for other tools. - , - European Commission H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - HF Radar, Hoort - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2358", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2358", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2358", "url": "https:\/\/hdl.handle.net\/11329\/2358" }, "author": [ { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Charcos, Miguel" }, { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Fern\u00e1ndez, Juan Gabriel" }, { "@type": "Person", "name": "Frontera, Biel" }, { "@type": "Person", "name": "Notario, Xisco" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Reyes, Emma" }, { "@type": "Person", "name": "Solabarrieta, Lohitzune" }, { "@type": "Person", "name": "Zarokanellos, Nikolaos" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER for JERICO S3" } ], "keywords": [ "Functional tools", "HF Radar", "Standardization", "Quality control", "Workflow", "Jupyter Notebook", "Best practices maturity model", "Ocean gliders", "Data management", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1752", "name": "Risk assessment COVID-19 (C-19) Research Vessels. Version 1.6.", "description": " - If you are going on a cruise on a research vessel manned and operated by IMR\/Research Vessel Department or shall visit one of our vessels in port. - , - Published - , - Current - , - N\/A - , - Organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1752", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1752", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1752", "url": "https:\/\/hdl.handle.net\/11329\/1752" }, "contributor": [ { "@type": "Organization", "name": "Institute of Marine Research" } ], "keywords": [ "Research Vessels", "COVID-19", "Health and Safety", "Safety", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1959", "name": "Quality control procedure for IMOS real-time meteorological and sea surface observations, and air-sea fluxes from research vessel and mooring platforms.", "description": " - This document outlines the automated Quality Control system implemented at the Bureau of Meteorology as part of the Integrated Marine Observing System, to process the real-time marine meteorological and surface ocean observations and air-sea fluxes obtained from ships and moorings. - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea Surface Temperature - , - Ocean surface heat flux - , - Ocean surface stress - , - Mature - , - Organisational - , - Multi-organisational - , - National - , - N\/A - , - N\/A - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1959", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1959", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1959", "url": "https:\/\/hdl.handle.net\/11329\/1959" }, "author": [ { "@type": "Person", "name": "Schulz, Eric" }, { "@type": "Person", "name": "Sisson, Janice" }, { "@type": "Person", "name": "Beggs, Helen" } ], "contributor": [ { "@type": "Organization", "name": "Bureau of Meteorology" } ], "keywords": [ "Atmosphere", "Physical oceanography", "Water temperature sensor", "Anemometers", "Meteorological packages", "Precipitation gauges", "Radiometers", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/409", "name": "Sampling and Sample-handling Protocols for GEOTRACES Cruises. Version 3, August 2017.", "description": " - The GEOTRACES Standards and Intercalibration (S&I) Committee is charged with ensuring that the data generated during GEOTRACES are as precise and accurate as possible, which includes all the steps from sampling to analysis. Thus, sampling methods for dissolved and particulate constituents must take a representative (of the water depth\/water mass) and uncontaminated sample, the samples must be stored (or immediately analyzed) in a fashion that preserves the concentrations (activities) and chemical speciation, and the analyses of these samples must yield accurate data (concentration, activity, isotopic composition, and chemical speciation). To this end, experiences from the 2008-2010 GEOTRACES Intercalibration Program, actual GEOTRACES cruises from 2010-2017, and other related intercalibration efforts, helped to create the protocols in this document. However, methods continually evolve and the GEOTRACES S&I Committee will monitor these advances as validated by intercalibrations and modify the methods as warranted. The protocols here are divided into trace element and isotope groups: Hydrography and Ancillary Parameters, Radioactive Isotopes, Radiogenic Isotopes, Trace Elements, Nutrient Isotopes, Optics, and BioGEOTRACES parameters. Those who contributed to preparing these protocols are listed in Appendix 1 and are sincerely thanked for their efforts in helping GEOTRACES and the worldwide TEI community. - , - Published - , - Version 3.0 of the cookbook includes new sections on Aerosols and BioGEOTRACES. In addition, previous sections have also been reviewed. The previous versions of the cookbook are also available to download: version 1.0 (2010), version 2.0 (2014). The main differences between the version 2.0 and 1.0 were: the General Considerations section that outlines steps required for TEI data to be intercalibrated has been substantially rewritten; the Hydrography and Ancillary Parameters section (and Appendix 2) have been simplified by citing and using the GO-SHIP protocols for most hydrographic measurements; the Radionuclide section now has procedures for artificial radionuclides that was inadvertently omitted in Version 1; and in general, all sections have been reviewed and edited as needed based on experiences with 4 years of actual cruises. - , - Refereed - , - Current - , - 14.A - , - Transient Tracers ; Nutrients; Sea Surface Salnity; - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/409", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/409", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/409", "url": "https:\/\/hdl.handle.net\/11329\/409" }, "author": [ { "@type": "Person", "name": "Cutter, Gregory" }, { "@type": "Person", "name": "Casciotti, Karen" }, { "@type": "Person", "name": "Croot, Peter" }, { "@type": "Person", "name": "Geibert, Walter" }, { "@type": "Person", "name": "Heimb\u00fcrger, Lars-Eric" }, { "@type": "Person", "name": "Lohan, Maeve" }, { "@type": "Person", "name": "Planquette, H\u00e9l\u00e8ne" }, { "@type": "Person", "name": "van de Flierdt, Tina" } ], "contributor": [ { "@type": "Organization", "name": "GEOTRACES International Project Office" } ], "keywords": [ "Trace elements", "Sampling procedures", "Seawater analysis", "Radionuclides", "Aerosols", "BioGEOTRACES", "GO-SHIP", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Parameter Discipline::Chemical oceanography::Carbon, nitrogen and phosphorus", "Parameter Discipline::Chemical oceanography::Nutrients", "Instrument Type Vocabulary::aerosol samplers", "Instrument Type Vocabulary::discrete water samplers", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/640", "name": "Critical considerations for the application of environmental DNA methods to detect aquatic species.", "description": " - 1. Species detection using environmental DNA (eDNA) has tremendous potential for contributing to the understanding of the ecology and conservation of aquatic species. Detecting species using eDNA methods, rather than directly sampling the organisms, can reduce impacts on sensitive species and increase the power of field surveys for rare and elusive species. The sensitivity of eDNA methods, however, requires a heightened awareness and attention to quality assurance and quality control protocols. Additionally, the interpretation of eDNA data demands careful consideration of multiple factors. As eDNA methods have grown in application, diverse approaches have been implemented to address these issues. With interest in eDNA continuing to expand, supportive guidelines for undertaking eDNA studies are greatly needed. 2. Environmental DNA researchers from around the world have collaborated to produce this set of guidelines and considerations for implementing eDNA methods to detect aquatic macroorganisms. 3. Critical considerations for study design include preventing contamination in the field and the laboratory, choosing appropriate sample analysis methods, validating assays, testing for sample inhibition and following minimum reporting guidelines. Critical considerations for inference include temporal and spatial processes, limits of correlation of eDNA with abundance, uncertainty of positive and negative results, and potential sources of allochthonous DNA. 4. We present a synthesis of knowledge at this stage for application of this new and powerful detection method. - , - Refereed - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/640", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/640", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/640", "url": "https:\/\/hdl.handle.net\/11329\/640" }, "author": [ { "@type": "Person", "name": "Goldberg, Caren S." }, { "@type": "Person", "name": "Turner, Cameron R." }, { "@type": "Person", "name": "Deiner, Kristy" }, { "@type": "Person", "name": "Klymus, Katy E." }, { "@type": "Person", "name": "Thomsen, Philip Francis" }, { "@type": "Person", "name": "Murphy, Melanie A." }, { "@type": "Person", "name": "Spear, Stephen F." }, { "@type": "Person", "name": "McKee, Anna" }, { "@type": "Person", "name": "Oyler\u2010McCance, Sara J." }, { "@type": "Person", "name": "Cornman, Robert Scott" }, { "@type": "Person", "name": "Laramie, Matthew B." }, { "@type": "Person", "name": "Mahon, Andrew R." }, { "@type": "Person", "name": "Lance, Richard F." }, { "@type": "Person", "name": "Pilliod, David S." }, { "@type": "Person", "name": "Strickler, Katherine M." }, { "@type": "Person", "name": "Waits, Lisette P." }, { "@type": "Person", "name": "Fremier, Alexander K." }, { "@type": "Person", "name": "Takahara, Teruhiko" }, { "@type": "Person", "name": "Herder, Jelger E." }, { "@type": "Person", "name": "Taberlet, Pierre" } ], "keywords": [ "Biodiversity", "eDNA", "Invasive species", "Reporting guidelines", "Quantitative PCR", "Non-destructive sampling", "Parameter Discipline::Biological oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/914", "name": "OGC SensorThings API Part 1: Sensing, Version 1.0.", "description": " - The OGC SensorThings API provides an open, geospatial-enabled and unified way to interconnect the Internet of Things (IoT) devices, data, and applications over the Web. At a high level the OGC SensorThings API provides two main functionalities and each function is handled by a part. The two parts are the Sensing part and the Tasking part. The Sensing part provides a standard way to manage and retrieve observations and metadata from heterogeneous IoT sensor systems. The Tasking part is planned as a future work activity and will be defined in a separate document as the Part II of the SensorThings API. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/914", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/914", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/914", "url": "https:\/\/hdl.handle.net\/11329\/914" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Standard", "Sensor networks", "Sensor web enablement", "SWE" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/115", "name": "Manual on the Global Telecommunication System, Volume I. (Annex III to WMO Technical Regulations). Global Aspects.", "description": " - meteorological telecommunication; guides - , - Purpose 1. The Manual on the Global Telecommunication System is issued in accordance with the decision of Sixth Congress. 2. This Manual is designed: (a) To facilitate cooperation in respect of meteorological telecommunications between Members; (b) To specify obligations of Members in the implementation of the World Weather Watch (WWW) Global Telecommunication System (GTS); (c) To ensure uniformity and standardization in the practices and procedures employed in achieving (a) and (b) above. 3. The Manual is composed of Volumes I and II, which contain the regulatory material for the global and regional aspects, respectively, of the WWW Global Telecommunication System. This regulatory material stems from recommendations of the Commission for Basic Systems (CBS) and resolutions of regional associations, as well as from decisions taken by Congress and the Executive Council. 4. Volume I of the Manual \u2014 Global Aspects \u2014 forms part of the Technical Regulations and is referred to as Annex III to the Technical Regulations (with the exceptions indicated in paragraphs 9 to 11 below). - , - http:\/\/www.wmo.int\/pages\/prog\/www\/ois\/Operational_Information\/Publications\/WMO_386\/WMO_386_Vol_I_en.pdf, http:\/\/www.wmo.int\/pages\/prog\/www\/ois\/Operational_Information\/Publications\/WMO_386\/WMO_386_Vol_II_en.pdf - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/115", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/115", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/115", "url": "https:\/\/hdl.handle.net\/11329\/115" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "GTS" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2326", "name": "Modified FlowCAM procedure for quantifying size distribution of zooplankton with sample recycling capacity.", "description": " - We have developed a modified FlowCAM procedure for efficiently quantifying the size distribution of zooplankton. The modified method offers the following new features: 1) prevents animals from settling and clogging with constant bubbling in the sample container; 2) prevents damage to sample animals and facilitates recycling by replacing the built-in peristaltic pump with an external syringe pump, in order to generate negative pressure, creates a steady flow by drawing air from the receiving conical flask (i.e. vacuum pump), and transfers plankton from the sample container toward the main flowcell of the imaging system and finally into the receiving flask; 3) aligns samples in advance of imaging and prevents clogging with an additional flowcell placed ahead of the main flowcell. These modifications were designed to overcome the difficulties applying the standard FlowCAM procedure to studies where the number of individuals per sample is small, and since the FlowCAM can only image a subset of a sample. Our effective recycling procedure allows users to pass the same sample through the FlowCAM many times (i.e. bootstrapping the sample) in order to generate a good size distribution. Although more advanced FlowCAM models are equipped with syringe pump and Field of View (FOV) flowcells which can image all particles passing through the flow field; we note that these advanced setups are very expensive, offer limited syringe and flowcell sizes, and do not guarantee recycling. In contrast, our modifications are inexpensive and flexible. Finally, we compared the biovolumes estimated by automated FlowCAM image analysis versus conventional manual measurements, and found that the size of an individual zooplankter can be estimated by the FlowCAM image system after ground truthing. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - National - , - Flowcam - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2326", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2326", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2326", "url": "https:\/\/hdl.handle.net\/11329\/2326" }, "author": [ { "@type": "Person", "name": "Wong, Esther" }, { "@type": "Person", "name": "Sastri, Akash R." }, { "@type": "Person", "name": "Lin, Fan-Sian" }, { "@type": "Person", "name": "Hsieh, Chih-hao" } ], "keywords": [ "Sampling", "Zooplankton", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1786", "name": "Management of acoustic metadata for bioacoustics.", "description": " - Recent expansion in the capabilities of passive acoustic monitoring of sound-producing animals is providing ex- pansive data sets in many locations. These long-term data sets will allow the investigation of questions related to the ecology of sound-producing animals on time scales ranging from diel and seasonal to inter-annual and decad- al. Analyses of these data often span multiple analysts from various research groups over several years of effort and, as a consequence, have begun to generate large amounts of scattered acoustic metadata. It has therefore be- come imperative to standardize the types of metadata being generated. A critical aspect of being able to learn from such large and varied acoustic data sets is providing consistent and transparent access that can enable the integration of various analysis efforts. This is juxtaposed with the need to include new information for specific research questions that evolve over time. Hence, a method is proposed for organizing acoustic metadata that ad- dresses many of the problems associated with the retention of metadata from large passive acoustic data sets. A structure was developed for organizing acoustic metadata in a consistent manner, specifying required and op- tional terms to describe acoustic information derived from a recording. A client-server database was created to implement this data representation as a networked data service that can be accessed from several programming languages. Support for data import from a wide variety of sources such as spreadsheets and databases is provided. The implementation was extended to access Internet-available data products, permitting access to a variety of environmental information types (e.g. sea surface temperature, sunrise\/sunset, etc.) from a wide range of sources as if they were part of the data service. This metadata service is in use at several institutions and has been used to track and analyze millions of acoustic detections from marine mammals, fish, elephants, and anthropogenic sound sources. - , - Refereed - , - 14.a - , - Marine turtles, birds, mammals abundance and distribution - , - Ocean sound - , - International - , - Species Populations - , - Species Traits - , - Marine Habitats - , - Passive Acoustic Recorders - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1786", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1786", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1786", "url": "https:\/\/hdl.handle.net\/11329\/1786" }, "author": [ { "@type": "Person", "name": "Roch, Marie A." }, { "@type": "Person", "name": "Batchelor, Heidi" }, { "@type": "Person", "name": "Baumann-Pickering, Simone" }, { "@type": "Person", "name": "Berchok, Catherine L." }, { "@type": "Person", "name": "Cholewiak, Danielle" }, { "@type": "Person", "name": "Fujioka, Ei" }, { "@type": "Person", "name": "Garland, Ellen C." }, { "@type": "Person", "name": "Herbert, Sean" }, { "@type": "Person", "name": "Hildebrand, John A." }, { "@type": "Person", "name": "Oleson, Erin M." }, { "@type": "Person", "name": "Van Parijs, Sofie" }, { "@type": "Person", "name": "Risch, Denise" }, { "@type": "Person", "name": "Sirovic, Anna" }, { "@type": "Person", "name": "Soldevilla, Melissa S." } ], "keywords": [ "BioICE", "IOOS Marine Life", "Acoustics", "Passive acoustic recording systems", "Data acquisition", "Data analysis", "Data exchange", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2193", "name": "OceanPractices: Ocean Best Practices Workshop VI, 05 -19 October 2022 [Online]: Proceedings,", "description": " - The goal of the sixth Ocean Best Practices System workshop (OBPS VI) was to guide the development of best practices and operating practices, to promote their documentation, and to share them widely using the OBPS. The workshop featured two plenaries held in two time zones each and 19 theme sessions held over two weeks. These theme sessions were planned and held by separate communities of practice in ocean science, engineering, and technology. The workshop attracted the attention of a total of 1152 registrants from around the world, with some 600 people attending across time zones in the theme sessions and the plenaries. The workshop allowed the different communities of practice to focus on the creation, documentation and use of best practices working with members of the OBPS Steering Group. It drew on the experience of OBPS User Groups and stakeholders and provided an opportunity to gather feedback on how the system should evolve to better fulfil each community\u2019s vision, mission, and needs. A common theme was that the broad ocean observing community appreciates the opportunities provided by the OBPS to focus on best practices. The community requested that this service be continued through additional workshops, opportunities to publish and share documents through the OBPS, and allow for cross-fertilization between different sectors of the community. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2193", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2193", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2193", "url": "https:\/\/hdl.handle.net\/11329\/2193" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Best practices", "OBPS", "Digital repostories", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/533", "name": "Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos. N\u00famero 1\/2016.", "description": " - The \u201cColombian Oceanographic Data and Information Coordination Committee\u201d (CTN Diocean, by its initials in Spanish) was created by Resolution No. 005\/2015 of the Colombian Ocean Commission (CCO, by its initials in Spanish), to promote the articulation of efforts and institutional capacities in colombian oceanographic data and marine information management. One of the concerns of the CTN Diocean is the ocean data and information access and exchange at the national, regional and local level; for this reason, it created the Working Group on Best Practices in Data Management (GT MPGD, by its initials in Spanish) and included in its Work Plan 2015-2020 the identification and recommendation of best practices on management, conservation, publication and exchange of colombian oceanic data. In this framework, the GT MPGD presents the first edition of a special publication titled \"Reference Manual on Best Practices of Oceanic Data Management\", which contains a set of recommendations already accepted in national and international community, which is expected to be incorporated by the producers and managers of Colombian ocean data and information. This edition has three chapters: the first one shows an inventory with a brief description of information systems and oceanographic and marine-coastal monitoring networks in the national context; the second one, a list of standards, formats and vocabularies widely used by the national and international community; finally, an application case study of standards, formats and vocabularies of the Colombian Oceanographic Data Center (Cecoldo, by its initials in Spanish). - , - Published - , - Refereed - , - El Comit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n de Datos e Informaci\u00f3n Oce\u00e1nica (CTN Diocean) fue creado mediante Resoluci\u00f3n 005 del 2015 de la Secretar\u00eda Ejecutiva de la Comisi\u00f3n Colombiana del Oc\u00e9ano (CCO), con el objetivo de promover la articulaci\u00f3n de esfuerzos y capacidades institucionales en la adecuada gesti\u00f3n de datos oceanogr\u00e1ficos e informaci\u00f3n marina colombiana. Una de las preocupaciones del CTN Diocean es el acceso e intercambio de datos e informaci\u00f3n oce\u00e1nica entre los diferentes productores del nivel nacional, regional y local; por esta raz\u00f3n, cre\u00f3 el Grupo de Trabajo en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos (GT MPGD) e incluy\u00f3 en su plan de trabajo 2015-2020 la identificaci\u00f3n y recomendaci\u00f3n de mejores pr\u00e1cticas sobre el manejo, conservaci\u00f3n, publicaci\u00f3n e intercambio de datos oce\u00e1nicos del pa\u00eds. En este marco, el GT MPGD presenta a la comunidad la primera edici\u00f3n de su serie de publicaciones especiales \u201cManual de referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos\u201d, el cual contiene un conjunto de recomendaciones ya admitidas en la pr\u00e1ctica nacional e internacional, que se espera sean incorporadas por los productores y gestores de datos e informaci\u00f3n oce\u00e1nica colombiana, para que en el mediano y largo plazo, el pa\u00eds cuente con formatos est\u00e1ndar para el manejo de datos y con informaci\u00f3n sobre sus mejores pr\u00e1cticas de gesti\u00f3n interiorizadas por los generadores de datos oce\u00e1nicos. La edici\u00f3n de 2016 cuenta con tres cap\u00edtulos: en el primero se presenta un primer inventario que incluye una breve descripci\u00f3n de los sistemas de informaci\u00f3n y redes de monitoreo oceanogr\u00e1ficos y marino-costero en el contexto nacional, con lo cual los proveedores podr\u00e1n identificar la instituci\u00f3n coordinadora de acuerdo a la disciplina de datos e informaci\u00f3n de inter\u00e9s; en el segundo cap\u00edtulo, se presenta una lista de est\u00e1ndares, formatos y vocabularios ampliamente usados por la comunidad nacional e internacional, cuya aplicaci\u00f3n facilita el acceso e intercambio de datos e informaci\u00f3n. Para finalizar, se presenta un caso pr\u00e1ctico de aplicaci\u00f3n de est\u00e1ndares, formatos y vocabularios del Centro Colombiano de Datos Oceanogr\u00e1ficos (Cecoldo). - , - Current - , - 14.A - , - sea surface temperature - , - subsurface temperature - , - surface currents - , - subsurface currents - , - sea surface salinity - , - subsurface salinity - , - oxygen - , - nutrients - , - particulate matter - , - phytoplankton biomass and diversity - , - zooplankton biomass and diversity - , - fish abundance and distribution - , - hard coral cover and composition - , - seagrass cover and composition - , - mangrove cover and composition - , - TRL 1 Basic principles observed and reported - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/533", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/533", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/533", "url": "https:\/\/hdl.handle.net\/11329\/533" }, "author": [ { "@type": "Person", "name": "Ortiz Mart\u00ednez, Ruby Viviana" }, { "@type": "Person", "name": "Guti\u00e9rrez Leones, Gustavo Adolfo" }, { "@type": "Person", "name": "Rojas Mac\u00edas, Harold" }, { "@type": "Person", "name": "Garc\u00eda Valencia, Carolina" }, { "@type": "Person", "name": "Ardila Hern\u00e1ndez, Fredy Orlando" }, { "@type": "Person", "name": "Garz\u00f3n, Jaime Alberto" }, { "@type": "Person", "name": "Rehder Ocampo, Jan Christian Otto" } ], "contributor": [ { "@type": "Organization", "name": "Direcci\u00f3n General Mar\u00edtima" } ], "keywords": [ "Parameter Discipline::Atmosphere", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Environment", "Parameter Discipline::Fisheries and aquaculture", "Parameter Discipline::Marine geology", "Parameter Discipline::Physical oceanography", "Parameter Discipline::Terrestrial", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::anemometers", "Instrument Type Vocabulary::gas chromatographs", "Instrument Type Vocabulary::bathythermographs", "Instrument Type Vocabulary::plankton nets", "Data Management Practices::Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1603", "name": "Identification of Marine Harmful Algal Bloom Species: IOC Training Course on Identification of Harmful Marine Microalgae. 09 November 2020 - 29 January 2021. OTGA Training Course MARINE HAB_2020\/21.", "description": " - Since 1993 the IOC has conducted training courses on harmful microalgae. The purpose has been to improve the taxonomic and identification skills of the participants for research purposes and for practical monitoring of harmful algal blooms. From 2006 the IOC training in HAB identification has been offered within a new framework which gives accreditation. The present course includes now a practical exam at the end of the course with an IOC Certificate of Proficiency in Identification of Harmful Algae issued to participants who pass the exam. The course includes 100 hours of teaching and is divided into two parts. 1) The first part of the course is an internet teaching programme giving general introductions to the various groups of harmful algae; this part is mainly for self-study and estimated to 40 hours of reading. 2) The second part is a practical course in species identification including 2 optional workshops in enumeration and culture techniques. It may be possible to participate in both workshops, or alternatively spend the time examining mixed samples from various geographical regions and\/or own samples. Part 2 includes 60 hours of teaching and a microscope will be available to each participant during the entire period. - , - 14.a - , - Macroalgal canopy cover and composition - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1603", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1603", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1603", "url": "https:\/\/hdl.handle.net\/11329\/1603" }, "keywords": [ "Training Course", "OTGA", "Harmful Algal Blooms", "HAB", "Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1510", "name": "A novel method for assessing microplastic effect in suspension through mixing test and reference materials.", "description": " - The occurrence of microplastic in the environment is of global concern. However, the microplastic hazard assessment is hampered by a lack of adequate ecotoxicological methods because of conceptual and practical problems with particle exposure. In the environment, suspended solids (e.g., clay and cellulose) in the same size range as microplastic, are ubiquitous. Therefore, it must be established whether the addition of microplastic to these background levels of particulate material represents a hazard. We present a novel approach employing a serial dilution of microplastic and reference particles, in mixtures, which allows disentangling the effect of the microplastic from that of the other particulates. We demonstrate the applicability of the method using an immobilization test with Daphnia magna exposed to polyethylene terephthalate (test microplastic; median particle diameter ~5 \u03bcm) and kaolin clay (reference material; ~3 \u03bcm). In the range of the suspended solids test concentrations (0\u201310 000 mg L\u22121), with microplastic contributing 0\u2013100% of total mass, the LC50 values for the plastic mixtures were significantly lower compared to the kaolin exposure. Hence, the exposure to polyethylene terephthalate was more harmful to the daphnids than to the reference material alone. The estimated threshold for the relative contribution of the test microplastic to suspended matter above which significantly higher mortality was observed was 2.4% at 32 mg of the solids L\u22121. This approach has a potential for standardization of ecotoxicological testing of particulates, including microplastic. - , - Refereed - , - 14 - , - TRL 4 Component\/subsystem validation in laboratory environment - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1510", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1510", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1510", "url": "https:\/\/hdl.handle.net\/11329\/1510" }, "author": [ { "@type": "Person", "name": "Gerdes, Zandra" }, { "@type": "Person", "name": "Hermann, Markus" }, { "@type": "Person", "name": "Ogonowski, Martin" }, { "@type": "Person", "name": "Gorokhova, Elena" } ], "keywords": [ "Microplastics", "Particulate matter", "Suspended solids", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1203", "name": "Microplastics in a Marine Environment: Review of Methods for Sampling, Processing, and Analyzing Microplastics in Water, Bottom Sediments, and Coastal Deposits.", "description": " - The basic approaches, methods, and procedures for collecting and analyzing samples of microplastics in a marine environment are briefly described. - , - Refereed - , - 14.1 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1203", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1203", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1203", "url": "https:\/\/hdl.handle.net\/11329\/1203" }, "author": [ { "@type": "Person", "name": "Zobkov, M. B." }, { "@type": "Person", "name": "Esiukova, E. E." } ], "keywords": [ "Plankton", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2625", "name": "EOSC services for harmonised data access and guidance. MINKE Deliverable D3.3. Version 1.0.", "description": " - This document is MINKE\u2019s Deliverable 3.3 \u201cEOSC services for harmonised data access and guidance\u201d. It describes a data publication workflow identified as part of the MINKE project in order to share sensor quality information via the European Open Science Cloud (EOSC). Generally, the publication workflow is based on a MINKE-internal approach for managing all kinds of information necessary to document and describe sensor quality information (especially focusing on sensor calibration reports). This internal data management functionality allows exporting selected sensor quality datasets such as sensor calibration reports in an interoperable format that can subsequently be published to relevant data repositories (e.g., SEANOE or Zenodo). From there on, via regular harvesting, the sensor data sets become discoverable via the EOSC portal. - , - MINKE Project, funded by the European Commission within the Horizon 2020 Programme (2014\u20132020), GA 101008724 - , - Published - , - Current - , - Concept - , - Organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2625", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2625", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2625", "url": "https:\/\/hdl.handle.net\/11329\/2625" }, "author": [ { "@type": "Person", "name": "Jirka, Simon" }, { "@type": "Person", "name": "Autermann, Christian" } ], "contributor": [ { "@type": "Organization", "name": "Metrology for Integrated Marine Management and Knowledge-Transfer Network (MINKE)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2170", "name": "The ecosystem approach to marine management in the Arctic: Opportunities and challenges for integration.", "description": " - Climate change is strongly impacting Arctic marine ecosystems, and the Arctic coastal communities whose identities, traditions and livelihoods are closely interconnected with the marine environment. The Ecosystem Approach (EA) is a promising approach for understanding and managing the occurring shifts in the Arctic marine ecosystems. Based on our analysis, we find that assessments conducted by international and regional instruments and institutions, most notably the Arctic Council, as well as the wealth of Indigenous knowledge present in the region, provide valuable starting points for the implementation of EA in the Arctic. Yet, mechanisms for translating knowledge into joint coordinated and integrated action in accordance with EA are currently lacking. Our analysis suggests that incremental steps can be taken now to promote the implementation of EA, while working to establish a more comprehensive governance framework. In our view, bottom-up initiatives may provide the most promising avenue for promoting the application of EA in the region under the current geopolitical circumstances. Support by civil society, Indigenous and conservation organizations, as well as global momentum will be necessary to coordinate, finance and elevate community-driven initiatives. Other opportunities we identify for advancing EA is to engage with sectoral management bodies and to advance EA through climate change adaptation measures. - , - NWs work on this paper was funded by an R&D project on marine conservation in the Arctic, funded by the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) through the German Federal Agency for Nature Conservation (BfN) (grant agreement no. 351983100A). - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2170", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2170", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2170", "url": "https:\/\/hdl.handle.net\/11329\/2170" }, "author": [ { "@type": "Person", "name": "Wienrich, Nicole" }, { "@type": "Person", "name": "Buschman, Victoria Qutuuq" }, { "@type": "Person", "name": "Coon, Catherine" }, { "@type": "Person", "name": "Fuller, Susanna" }, { "@type": "Person", "name": "Hennicke, Janos" }, { "@type": "Person", "name": "Humrich, Christoph" }, { "@type": "Person", "name": "Prip, Christian" }, { "@type": "Person", "name": "Wenzel, Lauren" } ], "keywords": [ "Arctic Council", "Ecosystem-based management", "Marine conservation", "Regional ocean governance", "Human activity", "Data aggregation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1075", "name": "OGC\u00ae Open Modelling Interface: Interface Standard, Version 2.0.", "description": " - The purpose of the Open Modelling Interface (OpenMI) is to enable the runtime exchange of data between process simulation models and also between models and other tools such as databases and analytical and visualization applications. Its creation has been driven by the need to understand how processes interact and to predict the likely outcomes of those interactions under given conditions. A key design aim has been to bring about interoperability between independently developed modelling components, where those components may originate from any discipline or supplier. The ultimate aim is to transform integrated modelling into an operational tool accessible to all and so open up the potential opportunities created by integrated modelling for innovation and wealth creation. This document defines the requirements that a component must meet to achieve OpenMI compliance. These comprise: 1) a very thin core set of requirements covering the information and functions needed to establish a link and make an exchange between two components and 2) a set of optional extensions for handling more complex situations. The document doesnot describe how to implement the standard. This information together with a range of software tools for creating and running OpenMI-\u00ad\u2010compliantcomponents are provided by the OpenMI Association and third-\u00ad\u2010party software vendors \u2013 visit www.openmi.org for further documentation - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1075", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1075", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1075", "url": "https:\/\/hdl.handle.net\/11329\/1075" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2053", "name": "Recommendations for Plankton Measurements on OceanSITES Moorings With Relevance to Other Observing Sites.", "description": " - Measuring plankton and associated variables as part of ocean time-series stations has the potential to revolutionize our understanding of ocean biology and ecology and their ties to ocean biogeochemistry. It will open temporal scales (e.g., resolving diel cycles) not typically sampled as a function of depth. In this review we motivate the addition of biological measurements to time-series sites by detailing science questions they could help address, reviewing existing technology that could be deployed, and providing examples of time-series sites already deploying some of those technologies. We consider here the opportunities that exist through global coordination within the OceanSITES network for long-term (climate) time series station in the open ocean. Especially with respect to data management, global solutions are needed as these are critical to maximize the utility of such data. We conclude by providing recommendations for an implementation plan. - , - Refereed - , - 14.a - , - Zooplankton biomass and diversity - , - Phytoplankton biomass and diversity - , - Mature - , - Multi-organisational - , - International - , - Species abundances - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2053", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2053", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2053", "url": "https:\/\/hdl.handle.net\/11329\/2053" }, "author": [ { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Waite, Anya M." }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Trull, Tom" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Sosik, Heidi M." }, { "@type": "Person", "name": "Acinas, Silvia G." }, { "@type": "Person", "name": "Uitz, Julia" }, { "@type": "Person", "name": "Fennel, Katja" }, { "@type": "Person", "name": "Berman-Frank, Ilana" }, { "@type": "Person", "name": "Thomalla, Sandy" }, { "@type": "Person", "name": "Yamazaki, Hidekatsu" }, { "@type": "Person", "name": "Batten, Sonia" }, { "@type": "Person", "name": "Gregori, Gerald" }, { "@type": "Person", "name": "Richardson, Anthony J." }, { "@type": "Person", "name": "Wanninkhof, Rik" } ], "keywords": [ "GO-SHIP", "Microzooplankton", "Phytoplankton", "Zooplankton", "Biota abundance, biomass and diversity", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1767", "name": "Menu of Co-creation Methods. Deliverable 3.1.", "description": " - The ORION project seeks to promote institutional change in life science research performing and research funding organisations by performing co-creation experiments. Co-creation experiences are a way in which to connect multiple stakeholders, bringing them together to discover their interests and values and using these opportunities to discuss, develop and implement projects or ideas to achieve new, inclusive, forward-thinking research strategies. As a result, co-creation experiences allow high-quality interactions and unique experiences, with those involved becoming connected, informed and empowered. In order to facilitate the implementation of Open Science in any discipline of scientific research, we have collated a menu of methods specifically used to co-create. These methods are a subgroup of methods that are available through other European projects such as the RRI-Toolkit and Engage2020. This menu will be disseminated via the ORION network and on the ORION website and showcased at the UK ENGAGE Conference hosted by the National Cordinating Centre for Public Engagement in December 2017. - , - European Union, Horizon 2020 - , - ORION - , - European Union - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1767", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1767", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1767", "url": "https:\/\/hdl.handle.net\/11329\/1767" }, "contributor": [ { "@type": "Organization", "name": "Centre for Genomic Regulation for ORION Project" } ], "keywords": [ "Stakeholder participation", "Stakeholder engagement", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/799", "name": "Performance Verification Statement for the McVan Analite NEP395 Turbidity Probe.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ turbidity sensors. Turbidity is a property commonly used to describe water clarity in both marine and freshwater environments, providing a gross assessment of the amount of suspended material. Differences in methods of measurement and their individual responses to varying types of suspended material have made the measurement of turbidity difficult to perform in a consistent and standardized way. This has necessitated many public-service agencies to define turbidity in very specific terms based on optical methods of measurement. Despite these limitations, a variety of in situ instruments that provide some measure of turbidity are commonly and successfully used in many researcher and monitoring settings as a relative measure of suspended sediment concentration. As described below in more detail, field tests that examine manufacturers\u2019 turbidity values against simultaneously determined measurements of transmissivity, total suspended solids, and particulate organic carbon were designed only to examine an instrument\u2019s ability to track changes in water clarity through time and NOT to determine how well the instrument\u2019s values directly correlated with the ancillary measurements. The use of turbidity sensors to estimate a specific parameter (such as TSS) in nature requires local calibration to take into account many factors including particle composition, size and shape, along with other any other light scattering influences from dissolved organic compounds. In this Verification Statement, we present the performance results of the McVan Analite NEP395 Turbidity Probe evaluated in the laboratory and under diverse environmental conditions in moored field tests. A total of seven different field sites were used for testing, including tropical coral reef, high turbidity estuary, open-ocean, and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Particulate matter - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/799", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/799", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/799", "url": "https:\/\/hdl.handle.net\/11329\/799" }, "author": [ { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Scianni, C." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/236", "name": "ICES Data Guidelines for Surface Underway Data. (Compiled December 1999, revised August 2001; May 2006) .", "description": " - Underway near - surface measurements are typically made using the cooling water intake of a vessel. This guideline refers to electronically measured parameters typically including temperature and salinity. Additional parameter measurements such as fluorescence and nutrients may also be added. Autosampling devises may also be included in the underway system, thus providing the automatic water sampling for lab an alysis and calibration of the electronic equipment. - , - Published - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/236", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/236", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/236", "url": "https:\/\/hdl.handle.net\/11329\/236" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Underway", "Near-surface", "Temperature", "Salinity", "Data management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1463", "name": "Manaus Letter: Recommendations for the Participatory Monitoring of Biodiversity.", "description": " - Recommendations regarding best practices for participatory, community-based monitoring of biodiversity and natural resource use developed by the participants of the large International Seminar on Participatory Monitoring of Biodiversity for the Management of Natural Resources held in 2014 in Manaus, Brasil. The recommendations include following areas: Design of monitoring initiatives Community participation in monitoring initiatives Institutional arrangements and partnerships Data quality and management Relationship between monitoring initiatives and public policy Recognition of community involvement Institutional and community strengthening Capacity building Systematization, dissemination and communication - , - Published - , - Current - , - 14.A - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1463", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1463", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1463", "url": "https:\/\/hdl.handle.net\/11329\/1463" }, "contributor": [ { "@type": "Organization", "name": "Participatory Monitoring and Management Partnership (PMMP)" } ], "keywords": [ "Indigenous knowledge", "Indigenous people", "Biodiversity monitoring", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1693", "name": "MEDIN data guideline for ad-hoc sightings and non-effort based surveys of marine life. Version 4.4.", "description": " - This guideline defines the format of data collected on an ad-hoc basis for example a chance sighting of a species. Used correctly the guideline facilitates easy use and reuse of the data. - , - Published - , - Mature - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1693", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1693", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1693", "url": "https:\/\/hdl.handle.net\/11329\/1693" }, "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2236", "name": "Multiple Sea Ice Type Retrieval Using the HaiYang-2B Scatterometer in the Arctic.", "description": " - Sea ice type classification is of great significance for the exploration of waterways, fisheries, and offshore operations in the Arctic. However, to date, there is no multiple remote sensing method to detect sea ice type in the Arctic. This study develops a multiple sea ice type algorithm using the HaiYang-2B Scatterometer (HY-2B SCA). First, the parameters most applicable to classify sea ice type are selected through feature extraction, and a stacking model is established for the first time, which integrates decision tree and image segmentation algorithms. Finally, multiple sea ice types are classified in the Arctic, comprising Nilas, Young Ice, First Year Ice, Old Ice, and Fast Ice. Comparing the results with the Ocean and Sea Ice Satellite Application Facility (OSI-SAF) Sea Ice Type dataset (SIT) indicates that the sea ice type classified by HY-2B SCA (Stacking-HY2B) is similar to OSI-SAF SIT with regard to the changing trends in extent of sea ice. We use the Copernicus Marine Environment Monitoring Service (CMEMS) high-resolution sea ice type data and EM-Bird ice thickness data to validate the result, and accuracies of 87% and 88% are obtained, respectively. This indicates that the algorithm in this work is comparable with the performance of OSI-SAF dataset, while providing information of multiple sea ice types. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Stacking-HY2B microwave sensor - , - OSI-SAF microwave sensor - , - HaiYang-2B Scatterometer - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2236", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2236", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2236", "url": "https:\/\/hdl.handle.net\/11329\/2236" }, "author": [ { "@type": "Person", "name": "Han, Lu" }, { "@type": "Person", "name": "Chen, Haihua" }, { "@type": "Person", "name": "Guan, Lei" }, { "@type": "Person", "name": "Li, Lele" } ], "keywords": [ "AARI ice maps", "Sea Ice", "Cryosphere", "scatterometers", "Data aggregation", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1336", "name": "The TRUST Principles for digital repositories.", "description": " - As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data and repositories that provide access to and enable the use of such resources. Repositories must earn the trust of the communities they intend to serve and demonstrate that they are reliable and capable of appropriately managing the data they hold. Following a year-long public discussion and building on existing community consensus1, several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders. - , - Refereed - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1336", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1336", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1336", "url": "https:\/\/hdl.handle.net\/11329\/1336" }, "author": [ { "@type": "Person", "name": "Lin, Dawei" }, { "@type": "Person", "name": "Crabtree, Jonathan" }, { "@type": "Person", "name": "Dillo, Ingrid" }, { "@type": "Person", "name": "Downs, Robert R." }, { "@type": "Person", "name": "Edmunds, Rorie" }, { "@type": "Person", "name": "Giaretta, David" }, { "@type": "Person", "name": "De Giusti, Marisa" }, { "@type": "Person", "name": "L\u2019Hours, Herv\u00e9" }, { "@type": "Person", "name": "Hugo, Wim" }, { "@type": "Person", "name": "Jenkyns, Reyna" }, { "@type": "Person", "name": "Khodiyar, Varsha" }, { "@type": "Person", "name": "Martone, Maryann E." }, { "@type": "Person", "name": "Mokrane, Mustapha" }, { "@type": "Person", "name": "Navale, Vivek" }, { "@type": "Person", "name": "Petters, Jonathan" }, { "@type": "Person", "name": "Sierman, Barbara" }, { "@type": "Person", "name": "Sokolova, Dina V." }, { "@type": "Person", "name": "Stockhause, Martina" }, { "@type": "Person", "name": "Westbrook, John" } ], "keywords": [ "Certification", "Digital repositories", "Data stewardship", "Data management", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/588", "name": "Specifications for oceanographic survey - Part 8\uff1aMarine geology and geophysics survey.", "description": " - This standard material specifies the requirements of the basic contents, methods, data compilation and survey results of marine geology and geophysics survey. It is applicable to basic environmental factor survey of marine geology and geophysics, also can be used as references in some professional or special surveys, including submarine topography and geomorphology, marine sediment, sub-bottom detection, etc. With many successful practices completed, it will play an outstanding guiding role in the future international marine geological survey. - , - Research on overseas transformation and application of equipment and engineering standards in five fields of China Project number\uff1a 2016YFF0202903 - , - Published - , - This standard has played an important role of theoretical and technical guidance in the China-Thailand joint survey and research project on marine geology, and ensured the smooth implementation and practical effect of the project. In the process of application, sign a contract\/agreement - concrete practice (including field investigation, test and analysis in the laboratory, data processing and data archiving, etc.) - a bilateral discussion, analysis, summary, formed a complete set of application, and proved feasible in the process of practice, providing a good example for the subsequent research and application to other countries and regions. In the future, the standard will certainly play a greater role in the field of marine geology and marine geophysical investigations, especially in terms of international cooperation. - , - Refereed - , - Current - , - 14.1 - , - 14.2 - , - Sea surface temperature - , - Sea surface salinity - , - Oxygen - , - Particulate matter - , - Dissolved organic carbon - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/588", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/588", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/588", "url": "https:\/\/hdl.handle.net\/11329\/588" }, "author": [ { "@type": "Person", "name": "Liu, Shengfa" }, { "@type": "Person", "name": "LI, Jingrui" }, { "@type": "Person", "name": "Fang, Xisheng" }, { "@type": "Person", "name": "Zhang, Hui" }, { "@type": "Person", "name": "Yu, Yonggui" }, { "@type": "Person", "name": "Cao, Peng" }, { "@type": "Person", "name": "Wu, Bin" }, { "@type": "Person", "name": "Sun, Xingguan" } ], "contributor": [ { "@type": "Organization", "name": "China Standards Press for China National Standardization Administration" } ], "keywords": [ "Parameter Discipline::Marine geology", "Instrument Type Vocabulary::>2000 Hz top-bandwidth multi-channel seismic reflection systems", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1440", "name": "Recommendation Report 1 for HFR data implementation in European marine data infrastructures. JERICO-NEXT WP5\u2013Data Management, D5.13. Version 1.0.", "description": " - The JERICO network is constantly working to improve its core functionality, which is the ability to provide comprehensive observations of Europe\u2019s coastal seas and oceans. This means integrating new, promising observing technologies that can expand its spatial and temporal reach. This effort must include a specific data management fully committed to inform end-users and stakeholders about the quality and reliability of the data routinely delivered. While building the JERICO-Nextproject, High Frequency Radar (HFR) systems were identified as particularly attractive technology tocomplete the JERICO network. HFR technology offers the means to gather information on surface currents and sea state over wide areas with relative ease in terms of technical effort, manpower and costs. There are twelve HFRsites, operated by five JERICO-Nextpartners. Together, they constitute 23.5% of the HFRs currently operating in Europe. Although some countries have started to implement operational data management for HFR systems, a unified implementation is needed for allowing their integration in the JERICO network. Task 5.6 of JERICO-Nextdeals specifically with defining common formats andQuality Control (QC) procedures for HFR data. The present deliverable is a first recommendation at European level to achieve the harmonization of HFR data management including the following points: data format, metadata structure, QC flagging scheme and QC tests.This deliverable gathers recommendations that have been established taking into account: (1) the characteristics of HFR monitoring, considering that HFR surface current velocity data are somewhat unique in the oceanographic observation world sincethey are: i) two-dimensional ocean surface measurement; ii) derived from a fixed land-based remote sensor and iii) they are place on a fixed grid;(2) the existing standards in non-EU networks (in particular in IOOS);(3) the existing standards in Europe for Marine Data Management (EuroGOOS ROOSes, EuroGOOS HFR Task Team, CMEMS, SeaDataNet\u2019s NODC network, EMODnetand its thematic portals, JCOMMOPS in-situ Observing Platforms) - , - Published - , - Contributors: Emma Reyes , Annalisa Griffa , Jose Luis Asensio , Patrick Gorringe , C\u00e9line Quentin, Gisbert Breitbach - , - Current - , - 14 - , - Surface currents - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1440", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1440", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1440", "url": "https:\/\/hdl.handle.net\/11329\/1440" }, "author": [ { "@type": "Person", "name": "Corgnati, Lorenzo" }, { "@type": "Person", "name": "Mantovani, Carlo" }, { "@type": "Person", "name": "Novellino, Antonio" }, { "@type": "Person", "name": "Rubio, Anna" }, { "@type": "Person", "name": "Mader, Julien" } ], "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "HF Radar", "Metadata structure", "Data format", "Harmonization", "Parameter Discipline::Physical oceanography::Currents", "Instrument Type Vocabulary::radar altimeters", "Data Management Practices::Data format development", "Data Management Practices::Metadata management", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1905", "name": "Developing Zoo & Phytoplankton EOV Products in Blue-Cloud.", "description": " - The Zoo and Phytoplankton EOV Products demonstrator is developed by the Flanders Marine Institute (VLIZ), in collaboration with the Faculty of Science and Engineering at Sorbonne University and GeoHydrodynamics and Environment Research (GHER) at the University of Li\u00e8ge. A dedicated Virtual Lab was developed in the Blue-Cloud Virtual Research Environment powered by D4Science, and introduced through a public webinar in February 2021 describing its scope, key features and the potential benefits for the ocean science community. - , - European Union - , - Published - , - Current - , - 14.a - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1905", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1905", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1905", "url": "https:\/\/hdl.handle.net\/11329\/1905" }, "author": [ { "@type": "Person", "name": "Cabrera, Patricia" }, { "@type": "Person", "name": "Schepers, Lennert" }, { "@type": "Person", "name": "Pint, Steven" }, { "@type": "Person", "name": "Everaert, Gert" }, { "@type": "Person", "name": "Pannimpullath Remanan, Renosh" }, { "@type": "Person", "name": "Barth, Alexander" }, { "@type": "Person", "name": "Drago, Federico" } ], "contributor": [ { "@type": "Organization", "name": "Flanders Marine Institute (VLIZ) for Blue Cloud Project" } ], "keywords": [ "Blue Cloud Project", "Phytoplankton", "Zooplankton", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1496", "name": "Report on the Quality Control of the IMOS East Australian Current (EAC) Deep Water moorings array. Deployed: April\/May 2018 to September, 2019. Version 1.0. [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/1565 ]", "description": " - This report details the quality control applied to the data collected from the EAC array (deployed from April\/May, 2018 to September, 2019). The quality controlled datasets are publicly available via the AODN Portal. The data should be used in conjunction with this report. - , - Published - , - Superseded - , - 14.A - , - Sea Surface Temperature - , - Subsurface Temperature - , - Surface Currents - , - Subsurface Currents - , - Subsurface Salinity - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1496", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1496", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1496", "url": "https:\/\/hdl.handle.net\/11329\/1496" }, "author": [ { "@type": "Person", "name": "Cowley, Rebecca" } ], "contributor": [ { "@type": "Organization", "name": "Commonwealth Scientific and Industrial Research Organisation (CSIRO)" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::current profilers", "Instrument Type Vocabulary::current meters", "Instrument Type Vocabulary::water temperature sensor", "Instrument Type Vocabulary::salinity sensor", "Data Management Practices::Data quality control", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1559", "name": "Evolving and Sustaining Ocean Best Practices to enable Interoperability in the UN Decade of Ocean Science for Sustainable Development.", "description": " - The UN Decade of Ocean Science for Sustainable Development (Ocean Decade) challenges marine science to better inform and stimulate social and economic development while conserving marine ecosystems. To achieve these objectives, we must make our diverse methodologies more comparable and interoperable, expanding global participation and foster capacity development in ocean science through a new and coherent approach to best practice development. We present perspectives on this issue gleaned from the ongoing development of the UNESCO Intergovernmental Oceanographic Commission (IOC) Ocean Best Practices System (OBPS). The OBPS is collaborating with individuals and programs around the world to transform the way ocean methodologies are managed, in strong alignment with the outcomes envisioned for the Ocean Decade. However, significant challenges remain, including: (1) the haphazard management of methodologies across their lifecycle, (2) the ambiguous endorsement of what is \u201cbest\u201d and when and where one method may be applicable vs. another, and (3) the inconsistent access to methodological knowledge across disciplines and cultures. To help address these challenges, we recommend that sponsors and leaders in ocean science and education promote consistent documentation and convergence of methodologies to: create and improve context-dependent best practices; incorporate contextualized best practices into Ocean Decade Actions; clarify who endorses which method and why; create a global network of complementary ocean practices systems; and ensure broader consistency and flexibility in international capacity development. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - , - 2020-10-20 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1559", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1559", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1559", "url": "https:\/\/hdl.handle.net\/11329\/1559" }, "author": [ { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Delgado, Claudia" }, { "@type": "Person", "name": "Hermes, Juliet" }, { "@type": "Person", "name": "Heslop, Emma" }, { "@type": "Person", "name": "H\u00f6rstmann, Cora" }, { "@type": "Person", "name": "Isensee, Kirsten" }, { "@type": "Person", "name": "Karstensen, Johannes" }, { "@type": "Person", "name": "Lambert, Arno" }, { "@type": "Person", "name": "Lara-Lopez, Ana" }, { "@type": "Person", "name": "Muller-Karger, Frank" }, { "@type": "Person", "name": "Munoz Mas, Cristian" }, { "@type": "Person", "name": "Pearlman, Francoise" }, { "@type": "Person", "name": "Pissierssens, Peter" }, { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "van Stavel, Jordan" }, { "@type": "Person", "name": "Venkatesan, Ramasamy" } ], "keywords": [ "UN Ocean Decade", "Ocean Decade", "Interoperability", "Best practices", "Capacity development", "Methods", "Standards", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2562", "name": "SISP 11 - Manual for the International Deep Pelagic Ecosystem Survey in the Irminger Sea and Adjacent Waters. Version 1.", "description": " - The Working Group on Deep Pelagic Ecosystem Surveys (WGIDEEPS), formerly known as Working Group on Redfish Surveys (WGRS) and Planning Group on Redfish Surveys (PGRS), has the responsibility of coordinating international trawl-acoustic surveys on pelagic beaked redfish (Sebastes mentella) in the Irminger Sea and adjacent waters and in the Norwegian Sea. Surveys on pelagic beaked redfish (Sebastes mentella) have been conducted since 1982 in the Irminger Sea and since 2007 in the Norwegian Sea (ICES, 2009b; 2013). These surveys have been conducted by individual nations or in collaboration between two or more nations. The area coverage and methodology however, have varied and often the area coverage was limited, especially in earlier years. The surveys are mainly hydroacoustic surveys, but since 1999, pelagic trawling has also been used to estimate biomass of pelagic beaked redfish when acoustic estimates are not possible. Over time, both the horizontal and vertical coverage have increased, as earlier surveys were not considered sufficient for stock assessment purposes (ICES, 2013). Furthermore, the survey has also moved from exclusively a redfish survey to an ecosystem survey. This manual seeks to describe the survey conducted in the Irminger Sea and adjacent waters and its history, paying particular attention to the current practices in place (gears, area coverage, sampling methods). Description of acoustic equipment and trawl gears, areas covered, sampling methods, and data collected are described in detail. - , - Published - , - Refereed - , - Current - , - info@ices.dk - , - 14.2 - , - Fish abundance and distribution - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2562", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2562", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2562", "url": "https:\/\/hdl.handle.net\/11329\/2562" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Hydroacoustic survey", "Survey protocols", "Stock assessment", "Fish biomass", "Fish distrubution", "Redfish", "pelagic trawl nets", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2287", "name": "Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images.", "description": " - Common horizontal bounding box-based methods are not capable of accurately locating slender ship targets with arbitrary orientations in synthetic aperture radar (SAR) images. Therefore, in recent years, methods based on oriented bounding box (OBB) have gradually received attention from researchers. However, most of the recently proposed deep learning-based methods for OBB detection encounter the boundary discontinuity problem in angle or key point regression. In order to alleviate this problem, researchers propose to introduce some manually set parameters or extra network branches for distinguishing the boundary cases, which make training more difficult and lead to performance degradation. In this article, in order to solve the boundary discontinuity problem in OBB regression, we propose to detect SAR ships by learning polar encodings. The encoding scheme uses a group of vectors pointing from the center of the ship target to the boundary points to represent an OBB. The boundary discontinuity problem is avoided by training and inference directly according to the polar encodings. In addition, we propose an intersect over union (IOU)-weighted regression loss, which further guides the training of polar encodings through the IOU metric and improves the detection performance. Comparative experiments on the benchmark Rotating SAR Ship Detection Dataset (RSSDD) demonstrate the effectiveness of our proposed method in terms of enhanced detection performance over state-of-the-art algorithms and other OBB encoding schemes. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Synthetic aperture radar (SAR) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2287", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2287", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2287", "url": "https:\/\/hdl.handle.net\/11329\/2287" }, "author": [ { "@type": "Person", "name": "He, Yishan" }, { "@type": "Person", "name": "Gao, Fei" }, { "@type": "Person", "name": "Wang, Jun" }, { "@type": "Person", "name": "Hussain, Amir" }, { "@type": "Person", "name": "Yang, Erfu" }, { "@type": "Person", "name": "Zhou, Huiyu" } ], "keywords": [ "Oriented bounding box (OBB) method", "Marine vehicles", "Radar polarimetry", "Ship detection", "Human activity", "synthetic aperture radars", "Data analysis", "Data visualization", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2071", "name": "Design Principles for Industrial Data-Driven Services.", "description": " - The continuously growing availability and volume of data pressure companies to leverage them economically. Subsequently, companies must find strategies to incorporate data sensibly for internal optimization and find new business opportunities in data-driven business models. In this article, we focus on using data and data analytics in product-oriented industrial companies. Although data-driven services are becoming increasingly important, little is known about their systematic design and development in research. Surprisingly, many companies face significant challenges and fail to create these services successfully. Against this background, this article presents findings from a multicase based on qualitative interviews and workshops with experts from different industrial sectors. We propose ten design principles and corresponding design features to successfully design industrial data-driven services in this context. These design principles help practitioners and researchers to understand the peculiarities of creating data-driven services more in-depth on a conceptual, technical, and organizational level. - , - Refereed - , - Concept - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2071", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2071", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2071", "url": "https:\/\/hdl.handle.net\/11329\/2071" }, "author": [ { "@type": "Person", "name": "Azkan, Can" }, { "@type": "Person", "name": "M\u00f6ller, Frederik" }, { "@type": "Person", "name": "Iggena, Lennart" }, { "@type": "Person", "name": "Otto, Boris" } ], "keywords": [ "Data-driven services", "Design principles", "Design science", "Digital business models", "Service innovation", "Cross-discipline", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/429", "name": "Determination of Dissolved Nutrients (N, P, SI) in Seawater With High Precision and Inter-Comparability Using Gas-Segmented Continuous Flow Analysers. [SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-555]", "description": " - The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) brings together scientists with interests in physical oceanography, the carbon cycle, marine biogeochemistry and ecosystems, and other users and collectors of ocean interior data to develop a sustained global network of hydrographic sections as part of the Global Ocean Climate Observing System. A series of manuals and guidelines are being produced by GO-SHIP which update those developed by the World Ocean Circulation Experiment (WOCE) in the early 1990s. Analysis of the data collected in WOCE suggests that improvements are needed in th e collection of nutrient data if they are to be used for determining change within the ocean interior. Production of this manual is timely as it coincides with the development of reference materials for nutrients in seawater (RMNS). These RMNS solutions will be produced in sufficient quantities and be of sufficient quality that they will provide a basis for improving the consistency of nutrient measurements both within and between cruises. - , - Superseded - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/429", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/429", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/429", "url": "https:\/\/hdl.handle.net\/11329\/429" }, "author": [ { "@type": "Person", "name": "Hydes, D.J" }, { "@type": "Person", "name": "Aoyama, M" }, { "@type": "Person", "name": "Aminot, A" }, { "@type": "Person", "name": "Bakker, K" }, { "@type": "Person", "name": "Becker, S" }, { "@type": "Person", "name": "Coverly, S" }, { "@type": "Person", "name": "Daniel, A" }, { "@type": "Person", "name": "Dickson, A.G" }, { "@type": "Person", "name": "Grosso, O" }, { "@type": "Person", "name": "Kerouel, R" }, { "@type": "Person", "name": "van Ooijen, J" }, { "@type": "Person", "name": "Sato, K" }, { "@type": "Person", "name": "Tanhua, T" }, { "@type": "Person", "name": "Woodward, E.M.S" }, { "@type": "Person", "name": "Zhang, J.Z" } ], "keywords": [ "GO-SHIP", "Parameter Discipline::Chemical oceanography", "Instrument Type Vocabulary::flow meters", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1019", "name": "Satellite-based indicator of zooplankton distribution for global monitoring.", "description": " - This study investigates the association between an index of mesozooplankton biomass, derived from the Continuous Plankton Recorder survey and satellite-derived productivity fronts in the North Atlantic. While chlorophyll-a content (CHL) is commonly described as a proxy for phytoplankton biomass, the size of productivity fronts estimated from the horizontal gradient of CHL appears to be directly linked to mesozooplankton biomass. Our results suggest that the lifespan of productivity fronts, which ranges from weeks to months, meets the time requirement of mesozooplankton to develop. The proposed indicator describes the daily distribution of mesozooplankton\u2019s suitable feeding habitat. It also provides a coherent interpretation of the productivity front development with respect to phytoplankton activity (CHL values) and potential predation by higher trophic levels. Since mesozooplankton are essential for feeding at higher trophic levels, this satellite-derived indicator delivers essential information for research and policy. An unanticipated positive trend of the indicator from 2003 to 2017 is observed at a basin scale under the current efects of climate change, with regional peaks in relatively poorly productive areas. Such monitoring indicator is potentially important to advances in marine food web modelling, fsheries science and the dynamic management of oceans towards sustainability - , - Refereed - , - 14 - , - Zooplankton biomass and diversity - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1019", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1019", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1019", "url": "https:\/\/hdl.handle.net\/11329\/1019" }, "author": [ { "@type": "Person", "name": "Druon, Jean-No\u00ebl" }, { "@type": "Person", "name": "H\u00e9laou\u00ebt, Pierre" }, { "@type": "Person", "name": "Beaugrand, Gr\u00e9gory" }, { "@type": "Person", "name": "Fromentin, Jean-Marc" }, { "@type": "Person", "name": "Palialexis, Andreas" }, { "@type": "Person", "name": "Hoepfner, Nicolas" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Zooplankton", "Instrument Type Vocabulary::satellite tracking system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/676", "name": "Determination of polybrominated biphenyl ethers (PBDEs) in sediment and biota.", "description": " - This document provides advice on the analysis of polybrominated diphenyl ethers (PBDEs) in biota and sediment. The determination of PBDEs in sediment and biota generally involves extraction with organic solvents, clean\u2010up, and gas chromatographic separation with mass\u2010spectrometric detection. All stages of the procedure are susceptible to insufficient recovery and\/or contamination. Therefore, quality\u2010control procedures are important to check the method\u2019s performance. These guidelines are intended to encourage and assist analytical chemists to reconsider their methods and to improve their procedures and\/or the associated quality\u2010control measures where necessary. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/676", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/676", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/676", "url": "https:\/\/hdl.handle.net\/11329\/676" }, "author": [ { "@type": "Person", "name": "Webster, L." }, { "@type": "Person", "name": "Tronczynski, J." }, { "@type": "Person", "name": "Bersuder, P." }, { "@type": "Person", "name": "Vorkamp, K." }, { "@type": "Person", "name": "Lepom, P." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2036", "name": "Ocean Observation Technologies: A Review.", "description": " - Covering about three quarters of the surface area of the earth, the ocean is a critical source of sustenance, medicine, and commerce. However, such vast expanse in both surface area and depth, presents myriad observing challenges for researchers, such as corrosion, attenuation of electromagnetic waves, and high pressure. Ocean observation technologies are progressing from the conventional single node, static and short-term modalities to multiple nodes, dynamic and long-term modalities, to increase the density of both temporal and spatial samplings. Although people\u2019s knowledge of the oceans has been still quite limited, the contributions of many nations cooperating to develop the Global Ocean Observing System (GOOS) have remarkably promoted the development of ocean observing technologies. This paper reviews the typical observing technologies deployed from the sea surface to the seafloor, and discusses the future trend of the ocean observation systems with the docking technology and sustained ocean energy. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2036", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2036", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2036", "url": "https:\/\/hdl.handle.net\/11329\/2036" }, "author": [ { "@type": "Person", "name": "Lin, Mingwei" }, { "@type": "Person", "name": "Yang, Canjun" } ], "keywords": [ "Sampling", "Ocean energy", "Autonomous Underwater Vehicle (AUV)", "Docking", "Recharging", "Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2577", "name": "User's Manual: NOC LOC Dual Nutrient (Nitrate \/ phosphate) Sensor. Version 1", "description": " - The NOC LOC Dual Nutrient sensor is a microfluidic sensor capable of measuring two nutrients. It is based on lab-on-chip technology with optical (spectrophotometric) detection. A series of pumps and valves move chemical reagents and mix these with external samples and standards. A coloured reaction product is formed and its optical absorbance is measured using LEDs and photodiodes. This manual describes the basic operation of the NOC LOC dual nutrient nitrate and phosphate sensor. It covers the operation and use of the instrument and procedures that should be followed during a deployment. - , - This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 101000858 (TechOceanS). This output reflects only the author's view and the Research Executive Agency (REA) cannot be held responsible for any use that may be made of the information contained therein. - , - Published - , - Non Refereed - , - Current - , - 14.1 - , - \u202fNutrients - , - Mature - , - Multi-organisational - , - \u202fNutrients - , - Lab on chip (LOC) sensors, NOC - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2577", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2577", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2577", "url": "https:\/\/hdl.handle.net\/11329\/2577" }, "author": [ { "@type": "Person", "name": "Hanz, R." }, { "@type": "Person", "name": "Patey, M.D." } ], "contributor": [ { "@type": "Organization", "name": "National Oceanography Centre for TechOceanS Project" } ], "keywords": [ "Nitrate sensor", "Phosphate sensor", "Microfluiidic sensor", "Nutrients", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/168", "name": "GF3: a General formatting system for geo-referenced data. Volume 4. User Guide to the GF3-PROC software.", "description": " - Published - , - Terrestrial environment, GF3-PROC, Interface utilisateur, - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/168", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/168", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/168", "url": "https:\/\/hdl.handle.net\/11329\/168" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Earth environment", "Environmental monitoring", "Environments" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1692", "name": "MEDIN data guideline for the recording of water sample data. Version 4.1.", "description": " - This guideline is a data archive standard for the collection of discrete water samples which are subsequently used for chemical or biological determination. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata and data is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1692", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1692", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1692", "url": "https:\/\/hdl.handle.net\/11329\/1692" }, "author": [ { "@type": "Person", "name": "Gontarek, S." }, { "@type": "Person", "name": "Dawson, D." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "Oceanography", "Sample", "Nutrients", "Contaminants", "Chemistry", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1242", "name": "Survey protocol for seafloor massive sulfied deposits. Revised edition.", "description": " - A metal deposit is a geological feature in which useful metals have been concentrated to the point of being economically viable for recovery. In other words, in order for a body of rock to be considered a deposit, it must not only meet certain geological criteria, such as metal concentration, but must also meet economic criteria set by the profitability of the production process. In the absence of detailed economic analysis, seafloor minerals cannot meet the strict definition of a deposit. However, due to the general expectation of profitability, these resources are often referred to as \"ore deposits.\" In this protocol, we will use the term seafloor massive sulfide deposit (SMS deposit) in a similar manner. - , - Published - , - Refereed - , - Current - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1242", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1242", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1242", "url": "https:\/\/hdl.handle.net\/11329\/1242" }, "contributor": [ { "@type": "Organization", "name": "Japan Agency for Marine-Earth Science and Technology Project Team for Development of New-generation Research Protocol for Submarine Resources" } ], "keywords": [ "Massive sulphide deposits", "Parameter Discipline::Marine geology" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/424", "name": "Creating a weekly Harmful Algal Bloom bulletin. Version 1.0. [Best Practice Description Document]", "description": " - This document describes the procedural steps in creating an information product focused on toxic and harmful phytoplankton. The product is an online Harmful Algal Bloom (HAB) bulletin for aquaculturists, who can face serious operational challenges in the days after a HAB event. Data from satellite, numerical hydrodynamic models and In-situ ocean observations are organised and presented into visual information products. These products are enhanced through local expert evaluation and their interpretation is summarised in the bulletin. This document aims to provide both process overviews (the \u201cwhat\u201d of the Best Practice in producing the bulletins) and detail procedures (the \u201chow\u201d of the Best Practice\u201d) so that the bulletins may be replicated in other geographic regions. - , - European Commission - , - Published - , - Refereed - , - Current - , - Phytoplankton biomass and diversity - , - Sea surface temperature - , - Ocean colour - , - Ocean surface stress - , - Sea surface height - , - Subsurface temperature - , - Surface currents - , - Sea surface salinity - , - Subsurface salinity - , - Ocean surface heat flux - , - Biotoxins \/ Phycotoxins - , - Best Practice - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/424", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/424", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/424", "url": "https:\/\/hdl.handle.net\/11329\/424" }, "author": [ { "@type": "Person", "name": "Leadbetter, Adam" }, { "@type": "Person", "name": "Silke, Joe" }, { "@type": "Person", "name": "Cusack, Caroline" } ], "contributor": [ { "@type": "Organization", "name": "Marine Institute" } ], "keywords": [ "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Parameter Discipline::Biological oceanography::Phytoplankton" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/519", "name": "Partition of the Ocean into Ecological Provinces: Role of Ocean-Colour Radiometry.", "description": " - Ocean colour remote sensing can be used to the partition the ocean ecosystem into biogeochemical provinces to reveal its underlying functional structure. This report outlines the state of the art in ocean classification methods, both in the use of ocean colour imagery and derived products in formulating ecosystem classifications, and also in the implementation of existing classifications in ocean colour-related applications. New and emerging methods for defining dynamic province distributions in near-real time are also addressed. - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: Gregory Beaugrand, David Broomhead, Janet Campbell, Emmanuel Devred, Mark Dowell, Stephanie Dutkiewicz, Nick Hardman-Mountford, Nicolas Hoepffner, Daniel Kamykowski, Alan Longhurst, Antonio Mata, Fr\u00e9d\u00e9ric M\u00e9lin, Tim Moore, Jesus Morales, Trevor Platt, Mini Raman and Shubha Sathyendranath - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/519", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/519", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/519", "url": "https:\/\/hdl.handle.net\/11329\/519" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Data Management Practices::Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1246", "name": "Best Practices Document Template: Ocean Applications, Version 2023-06-26.", "description": " - This Best Practice document template including metadata recommendations is provided by the Ocean Best Practices System as suggested content and format for the creation of new Best Practice documents for ocean applications etc. This is version 2023-06-26 created with the help of a small group from the ocean observing community. It is expected that with usage by the community updated versions may be issued. - , - Published - , - Current - , - 14.A - , - Mature - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1246", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1246", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1246", "url": "https:\/\/hdl.handle.net\/11329\/1246" }, "contributor": [ { "@type": "Organization", "name": "International Oceanographic Data and Information Exchange(IODE) for Ocean Best Practices System" } ], "keywords": [ "OBPS", "Ocean Best Practices System", "Ocean applications", "Document template", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1859", "name": "Best Practice Data Standards for Discrete Chemical Oceanographic Observations.", "description": " - Effective data management plays a key role in oceanographic research as cruisebased data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above. - , - EuroSea - , - European Union - , - Refereed - , - 14.a - , - N\/A - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1859", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1859", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1859", "url": "https:\/\/hdl.handle.net\/11329\/1859" }, "author": [ { "@type": "Person", "name": "Jiang, L-Q." }, { "@type": "Person", "name": "Pierrot, D." }, { "@type": "Person", "name": "Wanninkhof, R." }, { "@type": "Person", "name": "Feely, R.A." }, { "@type": "Person", "name": "Tilbrook, B." }, { "@type": "Person", "name": "Alin, S." }, { "@type": "Person", "name": "Barbero, L." }, { "@type": "Person", "name": "Byrne, R.H." }, { "@type": "Person", "name": "Carter, B.R." }, { "@type": "Person", "name": "Dickson, A.G." }, { "@type": "Person", "name": "Gattuso, J-P." }, { "@type": "Person", "name": "Greeley, D." }, { "@type": "Person", "name": "Hoppema, M." }, { "@type": "Person", "name": "Humphreys, M.P." }, { "@type": "Person", "name": "Karstensen, J." }, { "@type": "Person", "name": "Lange, N." }, { "@type": "Person", "name": "Lauvset, S.K." }, { "@type": "Person", "name": "Lewis, E.R." }, { "@type": "Person", "name": "Olsen, A." }, { "@type": "Person", "name": "P\u00e9rez, F.F." }, { "@type": "Person", "name": "Sabine, C." }, { "@type": "Person", "name": "Sharp, J.D." }, { "@type": "Person", "name": "Tanhua, T." }, { "@type": "Person", "name": "Trull, T.W." }, { "@type": "Person", "name": "Velo, A." }, { "@type": "Person", "name": "Allegra, A.J." }, { "@type": "Person", "name": "Barker, P." }, { "@type": "Person", "name": "Burger, E." }, { "@type": "Person", "name": "Cai, W-J." }, { "@type": "Person", "name": "Chen, C-T.A." }, { "@type": "Person", "name": "Cross, J." }, { "@type": "Person", "name": "Garcia, H." }, { "@type": "Person", "name": "Hernandez-Ayon, J.M." }, { "@type": "Person", "name": "Hu, X." }, { "@type": "Person", "name": "Kozyr, A." }, { "@type": "Person", "name": "Langdon, C." }, { "@type": "Person", "name": "Lee, K." }, { "@type": "Person", "name": "Salisbury, J." }, { "@type": "Person", "name": "Wang, Z.A." }, { "@type": "Person", "name": "Xue, L." } ], "keywords": [ "Data standards", "Column header abbreviations", "WOCE WHP exchange formats", "Quality control flags", "CO2SYS", "TEOS-10", "Content vs. concentration", "Chemical oceanography", "Data quality control", "Data quality management", "Data archival\/stewardship\/curation", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/351", "name": "Report on the status of HF-radar systems and cabled coastal observatories.", "description": " - The JERICO network is constantly working to improve its core functionality, which is the ability to provide comprehensive observations of Europe\u2019s coastal seas and oceans. This means integrating new, promising observing technologies that can expand its spatial reach. While building the JERICO-NEXT project, HF-radar systems and cabled coastal observatories were identified as particularly attractive choices from this point of view, and a distinct task, Task 2.3 in Work Package 2 (WP2), was designed to facilitate their assimilation into the network\u2019s established observing system. High Frequency radar (HF-radar) technology offers the means to gather information on surface currents and sea state over wide areas with relative ease in terms of technical effort, manpower and costs. There are twelve HF-radar sites, operated by five JERICO-NEXT partners, involved in Task 2.3. Together, they constitute 23.5% of the HF-radars currently operating in Europe. - , - The JERICO-NEXT project is funded by the European Commission\u2019s H2020 Framework Programme under grant agreement No. 654410. Project coordinator: Ifremer, France. - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/351", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/351", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/351", "url": "https:\/\/hdl.handle.net\/11329\/351" }, "contributor": [ { "@type": "Organization", "name": "Ifremer for JERICO-NEXT Project" } ], "keywords": [ "HF radar", "High frequency radar", "Surface currents", "Sea state", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::radar altimeters", "Instrument Type Vocabulary::surface current radars", "Data Management Practices::Data acquisition", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1677", "name": "Underway Data Processing.", "description": " - Underway Data Processing Methods - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1677", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1677", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1677", "url": "https:\/\/hdl.handle.net\/11329\/1677" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1058", "name": "GIGAS Methodology for Comparative Analysis of Information and Data Management Systems, Version 0.5.0.", "description": " - The methodology described into this document is one of the tools that the GIGAS consortium developed to examining the requirements, architectures and standards applied in the systems in order to provide an evaluation of them in terms of business, enterprise, information and engineering and technology architecture, as well as their strategic alignment. It has proven to be useful for analyzing and comparing different systems and identifying areas of convergence, technology and interoperability gaps and as a tool for the technical dialogue across different user communities. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1058", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1058", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1058", "url": "https:\/\/hdl.handle.net\/11329\/1058" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "GIGAS", "Comparative analysis", "OpenGIS", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1606", "name": "A vision for FAIR ocean data products.", "description": " - The ocean is mitigating global warming by absorbing large amounts of excesscarbon dioxide from human activities. To quantify and monitor the ocean carbonsink, we need a state-of-the-art data resource that makes data submission andretrieval machine-compatible and efficient - , - Refereed - , - . - , - 14.a - , - Inorganic carbon - , - Methodological commentary\/perspect - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1606", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1606", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1606", "url": "https:\/\/hdl.handle.net\/11329\/1606" }, "author": [ { "@type": "Person", "name": "Tanhua, Toste" }, { "@type": "Person", "name": "Lauvset, Siv K." }, { "@type": "Person", "name": "Lange, Nico" }, { "@type": "Person", "name": "Olsen, Are" }, { "@type": "Person", "name": "\u00c1lvarez, Marta" }, { "@type": "Person", "name": "Diggs, Stephen" }, { "@type": "Person", "name": "Bittig, Henry C." }, { "@type": "Person", "name": "Brown, Peter J." }, { "@type": "Person", "name": "Carter, Brendan R." }, { "@type": "Person", "name": "Cotrim da Cunha, Leticia" }, { "@type": "Person", "name": "Feely, Richard A." }, { "@type": "Person", "name": "Hoppema, Mario" }, { "@type": "Person", "name": "Ishii, Masao" }, { "@type": "Person", "name": "Jeansson, Emil" }, { "@type": "Person", "name": "Kozyr, Alex" }, { "@type": "Person", "name": "Murata, Akihiko" }, { "@type": "Person", "name": "P\u00e9rez, Fiz F." }, { "@type": "Person", "name": "Pfeil, Benjamin" }, { "@type": "Person", "name": "Schirnick, Carsten" }, { "@type": "Person", "name": "Steinfeldt, Reiner" }, { "@type": "Person", "name": "Telszewski, Maciej" }, { "@type": "Person", "name": "Tilbrook, Bronte" }, { "@type": "Person", "name": "Velo, Anton" }, { "@type": "Person", "name": "Wanninkhof, Rik" }, { "@type": "Person", "name": "Burger, Eugene" }, { "@type": "Person", "name": "O\u2019Brien, Kevin" }, { "@type": "Person", "name": "Key, Robert M." } ], "keywords": [ "GLODAP", "GLobal Ocean Data Analysis Project", "Ocean carbon data", "FAIR", "Chemical oceanography", "Data analysis", "Data archival\/stewardship\/curation", "Data interoperability development", "Data search and retrieval" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/73", "name": "Guide to IGOSS Data Archives and Exchange (BATHY and TESAC). Second Revised edition, 1993. [OBSOLETE?]", "description": " - oceanographic research; oceanographic data; data exchange; guides - , - This Guide is intended to document the procedures to be followed in archiving and exchanging BATHY\/TESAC\/TRACKOB\/DRIFTER data' within the IGOSS & IODE systems. It describes the arrangements developed between IODE & IGOSS to share data so as to better serve the need of users. It is also intended to provide information on IGOSS data collection, data flow and data archival for scientists and engineers who wish to use the data and who are not familiar with the system. The Guide deals primarily with oceanographic data collected under IGOSS and reported in codes for oceanographic data [the WMO code forms are: FM 63-IX BATHY (report of bathythermal observation); FM 64-TX TESAC (temperature, salinity & current report from a sea station); FM 62-VI11 Ext. TRACKOB (report of marine surface observation [temperature, salinity and\/or current] along a ship's track); FM 18-IX Ext. DRIFTER (report of a drifting buoy observation)]. As other types of IGOSS data may flow on the GTS (e.g., various kinds of observations coded along with the IGOSS Flexible Code (IFC) form, including sea-level data) additional mechanisms will have to be developed between IGOSS & IODE - , - http:\/\/unesdoc.unesco.org\/images\/0009\/000955\/095547eo.pdf - , - check with IOC to see if guide is obsolete - , - IGOSS now JCOMM; Issued byJCOMM & IODE via DMCG - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/73", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/73", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/73", "url": "https:\/\/hdl.handle.net\/11329\/73" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Data management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/990", "name": "Emerging Methodologies Applied to Automated Data Quality Control.", "description": " - Oceanographers have faced three specific challenges for the past half-century: limited electrical power, challenging data telemetry, and biofouling. Amazing advances are being made in all three areas, and substantial benefits are already being realized for the more agile operators. These advances lead to more robust deployments with extended durations, which is a highly desired outcome since recovery and redeployment are usually expensive efforts that are generally associated with a data gap. Still, the need for quality assurance (QA), quality control (QC), and best practices (BP) remains, and multiple entities within the oceanographic community are working to establish standards. This white paper, submitted to the JCOMM \/ DBCP Task Team for Data Management at the 34th DBCP meeting, describe advances that have been made to, as well as emerging QA, QC, and BPs that can be used to ensure quality data. We thank Shannon McArthur \/ NDBC for the suggestion. - , - Unpublished - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/990", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/990", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/990", "url": "https:\/\/hdl.handle.net\/11329\/990" }, "author": [ { "@type": "Person", "name": "Bushnell, Mark" }, { "@type": "Person", "name": "Grissom, Karen" }, { "@type": "Person", "name": "Pazos, Mayra" } ], "keywords": [ "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1757", "name": "MSPglobal International Guide on Marine\/Maritime Spatial Planning.", "description": " - This guide builds on the inputs, experiences and lessons learned provided by the MSPglobal community through all activities organised or supported by the Intergovernmental Oceanographic Commission of UNESCO and the European Commission\u2019s Directorate-General for Maritime Affairs and Fisheries between 2017 and 2021, in the context of the Joint Roadmap to accelerate marine\/maritime spatial planning processes worldwide. The guide has been drafted by members of the MSPglobal International Expert Group (Joseph Onwona Ansong, Ingela Isaksson, Michele Quesada-Silva, Joanna Smith, Juan Luis Su\u00e1rez de Vivero, Riku Varjopuro, Zhiwei Zhang) and the editors, with essential contributions and revisions from members of the MSPglobal Thematic Expert Groups (Andrej Abrami\u0107, Karima Khalil, Anja Kreiner, Ivana Luki\u0107, Sarah Mahadeo, Ant T\u00fcrkmen, Celia Vassilopoulou, Tom Woolley). The guide was coordinated by Alejandro Iglesias Campos (IOC-UNESCO) and Julia Rubeck (DG MARE), with the esteemed support of Madina Begmatova and Aya Khalil (IOC-UNESCO), and the institutional guidance of Felix Leinemann (DG MARE) and Julian Barbi\u00e8re (IOC-UNESCO). Valuable experiences and lessons emerged from the international MSPforums organised by DG MARE and IOC-UNESCO with the support of national and regional authorities as well as regional partners in Brussels (2018), La R\u00e9union (2019), Vigo (2019) and Riga (2019). Other international events also provided input, such as the UN Ocean Conference in New York (2017), the GEF International Waters Conference in Marrakech (2018), the Sustainable Blue Economy Conference in Nairobi (2018) and the EU-China Summit (2019). Important milestones and discussions also took place in the context of the Our Ocean conferences in Malta (2017) and Oslo (2019) and through dedicated workshops at the European Maritime Days in Burgas (2018) and Lisbon (2019). A young generation of planners, Erasmus Mundus alumni, provided input and recommendations for the guide and supported DG MARE and IOC-UNESCO with the organisation of all the international events and forums mentioned above. A very special thanks to all the women and men working in aquaculture, biotechnology, conservation, fisheries, defence, energy, insurance, law, research, tourism, transport, police, ports, security and rescue, public and private companies and NGOs for their constant support and diversity of contributions in advancing MSP implementation globally. The guide has benefitted from the support and commitment of all MSPglobal beneficiary and partner countries in the Western Mediterranean: Algeria, France, Italy, Libya, Malta, Mauritania, Morocco, Portugal, Spain, Tunisia, the Union for the Mediterranean and the PAP\/RAC; and in the Southeast Pacific: Colombia, Ecuador, Panama, Peru and the Permanent Commission for the South Pacific. The support provided by the Government of Sweden to the Joint Roadmap between 2018 and 2020 was instrumental in multiplying the number of training courses, institutional and technical workshops dedicated to marine spatial planning, sustainable blue economy, coastal risk management and ocean literacy, involving national authorities, officials and experts from more than 50 countries in Africa, Latin America and the Caribbean and Small Island Developing States. The training activities included the board game \u201cMSP Challenge\u201d kindly donated by the Government of the Netherlands in support of the Joint Roadmap. Other regional perspectives enriched the diversity of contributions from other continents through collaboration with the following regional organisations: Africa (Abidjan and Nairobi Conventions, WIOMSA), Antarctic (Antarctic Treaty, CCAMLR), Arctic (PAME), Baltic Sea (HELCOM-VASAB), Caribbean (CEP), Caspian Sea (CEP), Mediterranean (MAP), Northeast Atlantic (OSPAR), Northwest Pacific (NOWPAP), Pacific (SPREP) and Red Sea and Gulf of Aden (PERSGA). The following initiatives and projects have contributed to this publication with the identification of experiences and lessons learned in their beneficiary countries: the European MSP Platform, ADRIPLAN, AQUACROSS, Baltic LINes, Baltic Scope, BlueMED, Blue Solutions Initiative, BRESEP, Strengthening the Management and Protection of Marine Biodiversity, LME:LEARN, MamiWata, MarSP, MARSPLAN BS, MASPNOSE, MARISMA, MSPMED, MULTIFRAME, MUSES, MUSICA, Ocean Metiss, PADDLE, Pan Baltic Scope, PANORAMA, PLASMAR+, SEANSE, SIMAtlantic, SIMCelt, SIMNORAT, SIMWESTMED, SPINCAM, Strong High Seas, SUPREME, THAL-CHOR, and TPEA. This guide would not have been possible without the impressive participatory process that has accompanied it. All activities organised by MSPglobal were co-financed by the European Maritime and Fisheries Fund of the European Union and received the institutional support of the European Climate, Environment and Infrastructure Executive Agency (CINEA). - , - European Commission; UNESCO - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.5 - , - N\/A - , - Guidelines & Policies - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1757", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1757", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1757", "url": "https:\/\/hdl.handle.net\/11329\/1757" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Marine spatial planning", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1530", "name": "Ocean Frontier Institute Indigenous Engagement Guide. Finalized Draft March 2021; Revised July 2022.", "description": " - The Ocean Frontier Institute (OFI) has developed an Indigenous (Inuit, M\u00e9tis, and First Nation) Engagement Guide (The Guide or Guide) to facilitate efforts toward respectful and meaningful engagement with Indigenous governments, communities, and organizations (Indigenous groups). This initiative recognizes and seeks to respond to the Truth and Reconciliation Commission: Calls to Action, Education for Reconciliation, calls 62: ii (TRC 2015), The Tri-Council Policy Statement: Ethical Conduct of Research Involving Humans, 2nd Edition: Chapter 9 (TCPS 2 2018) and aspires to align with the United Nations Declaration of the Rights of Indigenous People (UNDRIP 2008). It also links to OFI\u2019s Strategic Framework 2018-2022, which affirms OFI is committed to engaging stakeholders and Indigenous peoples in ocean management solutions and building support for ocean research and its applications. It informs OFI\u2019s researchers to provide considerate recommendations to reflect stakeholder and Indigenous priorities, values and knowledge. This guide provides an important first step in the active incorporation of Indigenous interests and rights into OFI\u2019s ongoing vision for North Atlantic research and environmental stewardship. Research Programs funded through OFI will be required to meet the expectations set out in this Guide and as they arise through our Indigenous Engagement Initiatives... The purpose of this guide is to support OFI staff and its research community as they strive for respectful engagement and meaningful partnerships with Indigenous groups in the course of conducting their research activities. It outlines the vision for this initiative and includes policies and guidelines for engagement with Indigenous groups, outlines training requirements and opportunities, and provides links to information and additional resources. Practically, the Guide will assist the OFI community in identifying how research programs may impact Indigenous groups and will provide guidance in conducting respectful engagement and developing meaningful research relationships with Indigenous groups. As part of broader guidance, the OFI will also seek to provide researchers and staff with culturally appropriate training opportunities to foster Indigenous cultural awareness and learning opportunities. - , - Published - , - Refereed - , - Current - , - 10 - , - 14.A - , - 16 - , - 17 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1530", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1530", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1530", "url": "https:\/\/hdl.handle.net\/11329\/1530" }, "contributor": [ { "@type": "Organization", "name": "Ocean Frontier Institute" } ], "keywords": [ "Indigenous people", "Indigenous knowledge", "Community engagement", "Parameter Discipline::Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1798", "name": "First Application of IFCB High-Frequency Imaging-in-Flow Cytometry to Investigate Bloom-Forming Filamentous Cyanobacteria.", "description": " - Cyanobacteria are an important part of phytoplankton communities, however, they are also known for forming massive blooms with potentially deleterious effects on recreational use, human and animal health, and ecosystem functioning. Emerging high frequency imaging flow cytometry applications, such as Imaging FlowCytobot (IFCB), are crucial in furthering our understanding of the factors driving bloom dynamics, since these applications provide community composition information at frequencies impossible to attain using conventional monitoring methods. However, the proof of applicability of automated imaging applications for studying dynamics of filamentous cyanobacteria is still scarce. In this study we present the first results of IFCB applied to a Baltic Sea cyanobacterial bloom community using a continuous flow-through setup. Our main aim was to demonstrate the pros and cons of the IFCB in identifying filamentous cyanobacterial taxa and in estimating their biomass. Selected environmental parameters (water temperature, wind speed and salinity) were included, in order to demonstrate the dynamics of the system the cyanobacteria occur in and the possibilities for analyzing high-frequency phytoplankton observations against changes in the environment. In order to compare the IFCB results with conventional monitoring methods, filamentous cyanobacteria were enumerated from water samples using light microscopical analysis. Two common bloom forming filamentous cyanobacteria in the Baltic Sea, Aphanizomenon flosaquae and Dolichospermum spp. dominated the bloom, followed by an increase in Oscillatoriales abundance. The IFCB results compared well with the results of the light microscopical analysis, especially in the case of Dolichospermum. Aphanizomenon biomass varied slightly between the methods and the Oscillatoriales results deviated the most. Bloom formation was initiated as water temperature increased to over 15C and terminated as the wind speed increased, dispersing the bloom. Community shifts were closely related to movements of the water mass. We demonstrate how using a high-frequency imaging flow cytometry application can help understand the development of cyanobacteria summer blooms. - , - JERICO-NEXT , JERICO-S3 - , - European Union - , - Refereed - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1798", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1798", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1798", "url": "https:\/\/hdl.handle.net\/11329\/1798" }, "author": [ { "@type": "Person", "name": "Kraft, Kaisa" }, { "@type": "Person", "name": "Sepp\u00e4l\u00e4, Jukka" }, { "@type": "Person", "name": "H\u00e4llfors, Heidi" }, { "@type": "Person", "name": "Suikkanen, Sanna" }, { "@type": "Person", "name": "Yl\u00f6stalo, Pasi" }, { "@type": "Person", "name": "Angl\u00e8s, S\u00edlvia" }, { "@type": "Person", "name": "Kielosto, Sami" }, { "@type": "Person", "name": "Kuosa, Harri" }, { "@type": "Person", "name": "Laakso, Lauri" }, { "@type": "Person", "name": "Honkanen, Martti" }, { "@type": "Person", "name": "Lehtinen, Sirpa" }, { "@type": "Person", "name": "Oja, Johanna" }, { "@type": "Person", "name": "Tamminen, Timo" } ], "keywords": [ "IFCB", "Imaging FlowCytobot", "High-frequency observations", "Cyanobacteria", "Cyanophyte", "Bloom dynamics", "Imaging-in-flow cytometry", "Phytoplankton", "Flow cytometers" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/998", "name": "Biosecurity Protocol for the Marine Environment for cargo ships, cruise ships, visiting yachts and fishing vessels.", "description": " - St Helena has some of the most pristine seas in the world. Our unique marine environment is highly respected and enjoyed by all islanders, and by many visitors from overseas. However, our territorial waters are under constant threat from unwanted foreign marine organisms, carried on the hulls of vessels and in ballast water tanks and in bilge water. Introduction of these organisms threatens our fishing and tourism industry, our environment and the well-being and livelihood of our people. Keeping our seas clean is very important, both culturally and economically. - , - Published - , - Current - , - 14.1 - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/998", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/998", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/998", "url": "https:\/\/hdl.handle.net\/11329\/998" }, "contributor": [ { "@type": "Organization", "name": "St Helena Government" } ], "keywords": [ "Invasive species", "Fouling organisms", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/122", "name": "Guide to the applications of marine climatology.", "description": " - This Guide provides a set of procedures for the collection, exchange, quality control, archival and processing of marine climatological data.(dynamic part of the guide available in electronic form via the Volume 25, Issue 7 of the International Journal of Climatology, Special Issue: Advances in Marine Climatology). - , - downloaded from WMO website onto IODE Project Office - , - publication needs to be updated - contact ET-MC (Scott Woodriff) - , - should be reviewed by JCOMM as a matter of priority - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/122", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/122", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/122", "url": "https:\/\/hdl.handle.net\/11329\/122" }, "author": [ { "@type": "Person", "name": "World Meteorological Organization" } ], "contributor": [ { "@type": "Organization", "name": "JCOMM via ET-MC" } ], "keywords": [ "Marine climatology", "Data collection", "Data exchange", "Data quality control", "Data archival" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1883", "name": "Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries.", "description": " - This paper is motivated by a present lack of clear model performance guidelines for shelf sea and estuarine modellers seeking to demonstrate to clients and end users that a model is fit for purpose. It addresses the common problems associated with data availability, errors, and uncertainty and examines the model build process, including calibration and validation. It also looks at common assumptions, data input requirements, and statistical analyses that can be applied to assess the performance of models of estuaries and shelf seas. Specifically, it takes account of inherent modelling uncertainties and defines metrics of performance based on practical experience. It is intended as a reference point both for numerical modellers and for specialists tasked with interpreting the accuracy and validity of results from hydrodynamic, wave, and sediment models. - , - Refereed - , - 14.a - , - N\/A - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1883", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1883", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1883", "url": "https:\/\/hdl.handle.net\/11329\/1883" }, "author": [ { "@type": "Person", "name": "Williams, Jon J." }, { "@type": "Person", "name": "Esteves, Luciana S." } ], "keywords": [ "Coastal modelling", "Uncertainty quantification", "Physical oceanography", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1683", "name": "CTD Standard Sensors.", "description": " - CalCOFI's primary hydrographic instrument is a Seabird 911+ CTD equipped with dual temperature, conductivity and oxygen sensors mounted on a 24-10L bottle rosette. Additional CTD sensors mounted on the rosette frame include a fluorometer, transmissometer, nitrate sensor, PAR, pH and altimeter. The CTD-Rosette is lowered into the ocean measuring a suite of seawater properties throughout the water column. Occupying the same stations (specific GPS locations) four times a year - Winter, Spring, Summer, Fall - we measure physical & biological properties: temperature, salinity, oxygen, fluorescence (chlorophyll), nutrients, and productivity from surface to 500m. Additional measurements from seawater samples collected using the rosette are combined with CTD sensor data, filling out the dataset. These seasonal measurements are published in Cruise Data Reports & added to our time-series database, both available online. - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD Seabird 911+ - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1683", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1683", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1683", "url": "https:\/\/hdl.handle.net\/11329\/1683" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2106", "name": "ESFRI Roadmap 2021 - Strategy Report on Research Infrastructures, Part 1.", "description": " - The ESFRI Roadmap 2021 is the sixth edition of the document, which has been influencing the European and national RIs strategies, policies and funding since 2006. ESFRI periodically updates its Roadmap to provide a coherent and strategic vision ensuring that Europe has excellence RIs in all fields of science and innovation5,6,7. The key messages of the 2021 edition of the Roadmap, prepared during the COVID-19 pandemic, clearly underline the importance of world-class RIs in enabling cutting-edge research needed to address the pressing requests and challenges of our society. This Roadmap, with the highest total cost of needed investments since the first edition in 2006, also demonstrates the persisting willingness of national governments to substantially invest in improving the RIs capacities in Europe, as an important element of our long-term scientific sovereignty and crisis preparedness. This Strategy Report consists of four interconnected parts. First, it describes the MAIN FEATURES AND OUTCOMES OF THE ROADMAP 2021. Secondly, it presents WHAT IS NEW IN THE ROADMAP 2021 edition in comparison to its predecessor. In the third part, it analyses the LESSONS LEARNT from this Roadmap and from the work of ESFRI over the last three years. The final part provides a strategic outlook into the future, identifying the key challenges for the RI policy in the coming years, CHALLENGES AND STRATEGY FOR THE FUTURE. This strategic outlook is particularly important as the fast evolving RI ecosystem is challenged by changing external circumstances and ESFRI needs to react to those changes in order to be capable of maintaining its capability to provide timely and relevant strategic advice and to stimulate further development of the RI ecosystem in Europe. - , - European Union; European Commission - , - Published - , - Current - , - 14.a - , - Mature - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2106", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2106", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2106", "url": "https:\/\/hdl.handle.net\/11329\/2106" }, "contributor": [ { "@type": "Organization", "name": "ESFRI Secretariat" } ], "keywords": [ "Research infrastructures", "Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1260", "name": "Safe to be open: Study on the protection of research data and recommendations for access and usage.", "description": " - This study addresses the most important legal issues when implementing an open access e-infrastructure for research data. It examines the legal requirements for different kinds of usage of research data in an open access infrastructure, such as OpenAIREplus, which links them to publications. The existing legal framework regarding potentially relevant intellectual property (IP) rights is analysed from the general European perspective as well as from that of selected EU Member States. Various examples and usage scenarios are used to explain the scope of protection of the potentially relevant IP rights. In addition different licence models are analysed in order to identify the licence that is best suited to the aim of open access, especially in the context of the infrastructure of OpenAIREplus. Based on the outcomes of these analyses, some recommendations to the European legislator as well as data- and e-infrastructure providers are given on improving the rights situation in relation to research data. - , - EU, Openaire - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1260", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1260", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1260", "url": "https:\/\/hdl.handle.net\/11329\/1260" }, "contributor": [ { "@type": "Organization", "name": "Universit\u00e4tsverlag G\u00f6ttingen" } ], "keywords": [ "Legal issues", "Open access", "e-Infrastructure", "European Commission", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1192", "name": "The IHO-IOC GEBCO Cook Book.", "description": " - GEBCO aims to provide the most authoritative publicly available bathymetric data sets for the world's oceans. In order to assist and encourage further participation in bathymetric grid development work, GEBCO has created a technical reference manual, the IHO-IOC GEBCO Cook Book, on how to build bathymetric grids. One of GEBCO's products is a global gridded bathymetry data set. It is based on seafloor depths from ship soundings, and where there are no soundings, depths are interpolated using estimates from satellite altimetry as a guide. The global grid is periodically updated by incorporating additional bathymetric survey data, new compilations, and improved data. The Cook Book is divided into three main sections \"Gridding Examples\" written for beginning users desiring to straightaway produce a grid from xyz data, \"Fundamentals\" which gives a more in-depth look at topics related to preparing, processing, and gridding xyz data, and \"Advanced Topics\" which contains discussions more experienced users may find useful. With this document, \"The IHO-IOC GEBCO Cook Book,\" we hope to enable more people to contribute data and gridded compilations to GEBCO. - , - Published - , - You can also access a copy of the IHO-IOC GEBCO Cook Book from web pages hosted by GEBCO at https:\/\/www.gebco.net\/data_and_products\/gebco_cook_book\/ and by the US Dept. of Commerce, National Oceanic and Atmospheric Administration (NOAA) Laboratory for Satellite Altimetry at https:\/\/www.star.nesdis.noaa.gov\/sod\/lsa\/GEBCO_Cookbook\/ A wide range of topics are included, for example Gathering data Data cleaning Gridding examples Software overviews The IHO-IOC GEBCO Cook Book includes input from a number of individuals and organisations, all of whom are experts in their respective fields. - , - Refereed - , - Current - , - 14.a - , - 17 - , - Hard Coral Cover and Composition - , - Sea Ice - , - Subsurface Temperature - , - Ocean Sound - , - Fish Abundance and Distribution - , - TRL 2 Technology concept and\/or application formulated - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1192", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1192", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1192", "url": "https:\/\/hdl.handle.net\/11329\/1192" }, "contributor": [ { "@type": "Organization", "name": "International Hydrographic Organization, Intergovernmental Oceanographic Commission (IHO-IOC)" } ], "keywords": [ "Seabed 2030", "GEBCO", "GEOHAB", "Parameter Discipline::Marine geology", "Parameter Discipline::Physical oceanography::Acoustics", "Parameter Discipline::Marine geology::Gravity, magnetics and bathymetry", "Parameter Discipline::Marine geology::Sonar and seismics", "Parameter Discipline::Marine geology::Field geophysics", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::bathymetric LiDARs", "Instrument Type Vocabulary::multi-beam echosounders", "Instrument Type Vocabulary::sidescan sonars", "Instrument Type Vocabulary::single-beam echosounders", "Instrument Type Vocabulary::sound velocity sensors", "Instrument Type Vocabulary::submarine cables", "Data Management Practices::Data acquisition", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data aggregation", "Data Management Practices::Data compression", "Data Management Practices::Data delivery", "Data Management Practices::Data format development", "Data Management Practices::Data processing", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1911", "name": "QWMN Good Modelling Practice Principles.", "description": " - Best practice modelling reduces model uncertainties and quantitatively and qualitatively documents any uncertainties and assumptions for user transparency. Conversely, poor modelling practices contribute to uncertainties and increase user distrust in the value of modelling. This paper synthesises existing knowledge and experience on good water modelling practices and principles. Specifically, it provides guidance for new and existing water model development efforts, and informs end users and decision makers about what distinguishes good modelling practices from poor ones. The paper covers the following: 1. An introduction to water models and their role in decision making; 2. An overview of water modelling practices, and the role of best practice modelling in improving model quality and results; 3. A characterisation of best practice modelling in relation to each of the phases and steps in the modelling process, including checklists of things that modelling practice should explicitly address. This paper\u2019s scope covers the use of water resource models to investigate impacts on the environmental system in question, such as a paddock, catchment, or estuary. It includes model use under both status quo conditions and in response to management actions, climate variations or other uncontrollable forces. It also includes model uses to adaptively manage a system, such as through additional monitoring and informative studies. The following best practice water modelling recommendations warrant specific attention by water model developers and users: - Specify the objectives, clients and stakeholders for the modelling exercise clearly. - Document the nature of the data used to build and test the model. - Justify the selection of model type and calibration method. - Undertake extensive model testing and report on results, model limitations and assumptions. - List and characterise information and data sources and try to rank the criticality of uncertainties arising in the entire modelling process by means including expert elicitation, stakeholder engagement, sensitivity and other more quantitative uncertainty analyses. - Carefully consider appropriate model complexity, taking into account uncertainty, data support and system behaviours. This is likely to include effective simplification with good documentation of the assumptions made and their implications. - Inform the users of model results about the dangers of being provided only a single number upon which to base decisions. Also address their needs by providing uncertainty information in a format that fits within their workflows. - Factor in the appropriate costs of a holistic uncertainty assessment in project budgeting. It will be worth it in the long-term. - Place due emphasis on communicating uncertainty. Visualisation of indicators of concern is one aspect that can be used. The design of such visualisations should pay special attention to possible interpretation biases and techniques to manage them. - Pay explicit attention to the way model results and uncertainty are communicated in written reports and publications. - Ensure model visualisations employ user-centred designs early in the modelling process, and leverage different visualisation tools to engage different audiences (e.g. researchers, policy makers, stakeholders). - Embrace the use of automated methodologies that can both support transparent experimental workflows and allow for systematic understanding of the impacts of the various relationships and factors that influence the model\u2019s results. - Pay careful attention to the collected data, including ensuring that they measure the appropriate variables, at the correct locations and with the required frequency. - All modelling practices should address the checklists of questions specified in this paper for each phase of the modelling process. - Help instil good modelling practice within the community by adopting these recommendations and sharing and collaborating on best practice cases in the major water modelling domains - , - State of Queensland Department of Environment and Science - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Multi-organisational - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1911", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1911", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1911", "url": "https:\/\/hdl.handle.net\/11329\/1911" }, "author": [ { "@type": "Person", "name": "Jakeman, A. J." }, { "@type": "Person", "name": "El Sawah, S." }, { "@type": "Person", "name": "Cuddy, S." }, { "@type": "Person", "name": "Robson, B." }, { "@type": "Person", "name": "McIntyre, N." }, { "@type": "Person", "name": "Cook, F." } ], "contributor": [ { "@type": "Organization", "name": "State of Queensland Department of Environment and Science" } ], "keywords": [ "Uncertainty quantification", "Ocean modelling", "Water modelling", "Queensland Water Modelling Network", "Physical oceanography", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/431", "name": "Maritime Sensor Technologies for the European Market: Research, Development and Implementation. Good practice guide.", "description": " - This COLUMBUS guide was developed as a result of discussions with COLUMBUS and AtlantOS project partners, speakers and participants at the COLUMBUS Brokerage Events \u2018Knowledge Transfer in Maritime Sensing Technologies\u2019 on 23 November 2017 (AtlantOS General Assembly 2017, Gran Canaria) and on 23 January 2018 (EuroGOOS Headquarters, Brussels). Over the course of successive EU Framework Programmes, the European Commission has made a significant investment in research and innovation projects designed to advance ocean observing and monitoring capacities through the development of marine environmental sensing technologies. There have been varying levels of transfer of intellectual property arising from these projects towards market\/application and the reasons for this are both complex and varied. This guide considers some of the success stories as well as common challenges and bottlenecks along the value chain from research project to market\/application and proposes, where possible, some recommendations. The guide may be of interest to a wide audience but is particularly targeted at (i) funding agencies commissioning marine technology research and (ii) technology developers (private and academic) engaged in such research. Nevertheless, technology implementers and intermediaries will equally be interested in some of the recommendations and findings. The guide draws from and builds upon the work done across a number of complementary projects. These include the Horizon 2020 AtlantOS1 project and the the Seventh Framework Programme Ocean of Tomorrow marine sensing projects, outputs from which are explicitly mentioned below. The success stories, challenges and recommendations presented in this document are a compilation of views and feedback derived from dedicated events organized in the framework of the COLUMBUS project, focusing on knowledge transfer in research and development of innovative maritime sensing technologies. As a result, the views presented in this document may not necessarily be representative of the entire community and may even be challenged or contradicted by other stakeholders. - , - The COLUMBUS project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 652690. - , - Published - , - Refereed - , - Current - , - 14.A - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/431", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/431", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/431", "url": "https:\/\/hdl.handle.net\/11329\/431" }, "contributor": [ { "@type": "Organization", "name": "COLUMBUS Project \/ EuroGOOS" } ], "keywords": [ "Sensors", "Autonomous sensors", "Technology transfer", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/810", "name": "Performance Verification Statement for the BBE Moldaenke FluoroProbe 2.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of in situ fluorometers designed for measuring chlorophyll. Chlorophyll measurements are widely used by resource managers and researchers to estimate phytoplankton abundance and distribution. Chlorophyll is also the most important light-capturing molecule for photosynthesis and is an important variable in models of primary production. While there are various techniques available for chlorophyll determinations, in situ fluorescence is widely accepted for its simplicity, sensitivity, versatility, and economical advantages. As described below in more detail, field tests that compare manufacturer\u2019s chlorophyll values to those determined by extractive HPLC analysis were designed only to examine an instrument\u2019s ability to track changes in chlorophyll concentrations through time or depth and NOT to determine how well the instrument\u2019s values matched those from extractive analysis. The use of fluorometers to determine chlorophyll levels in nature requires local calibration to take into account species composition, physiology and the effect of ambient irradiance, particularly photoquenching. At the manufactures request, and consistent with instrument design intent, the performance of the BBE Moldaenke Fluoroprobe 2 was assessed only in the laboratory and profiling tests. Two different field sites or conditions were used for testing including, an open ocean and freshwater lake environments. Because of the complexity of the tests conducted and the number of variables examined, a concise summary is not possible. We encourage readers to review the entire document (and supporting material found at www.bbe-moldaenke.com) for a comprehensive understanding of instrument performance. However, specific subsection of parameters tested for and environments tested in can be more quickly identified using the Table of Contents below. - , - Published - , - Refereed - , - Current - , - Ocean colour - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/810", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/810", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/810", "url": "https:\/\/hdl.handle.net\/11329\/810" }, "author": [ { "@type": "Person", "name": "Chigounis, D." }, { "@type": "Person", "name": "Carroll, M." }, { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Hayashi, K." }, { "@type": "Person", "name": "Janzen, C." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Koles, T." }, { "@type": "Person", "name": "Laurier, F." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "Meadows, L." }, { "@type": "Person", "name": "Metcalfe, C." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Seiter, J." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Biogeochemistry", "Fluorometer" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2395", "name": "OpenFairViewer: a FAIR, ISO and OGC (meta)data compliant GIS data viewer for browsing, accessing and sharing geo-referenced data.", "description": " - The OpenFairViewer is an HTML5\/JS map viewer application developed to adopt the FAIR Data principles, while complying with ISO\/OGC standards for geospatial data. It enables data findn, access, query and sharing of geospatial data, in interoperable way. The development of OpenFairViewer is done in synergy with the [geoflow](https:\/\/github.com\/r-geoflow\/geoflow) R package which provides a workflow tool to facilitate the management \/ publication of geospatial data and metadata using OGC services. - , - Blue-Cloud - , - Refereed - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2395", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2395", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2395", "url": "https:\/\/hdl.handle.net\/11329\/2395" }, "author": [ { "@type": "Person", "name": "Blondel, Emmanuel" } ], "contributor": [ { "@type": "Organization", "name": "Zenodo" } ], "keywords": [ "Map viewer", "FAIR Data Principles", "Geospatial data", "Georeferenced data", "Interoperability", "Cross-discipline", "Data interoperability development", "Data search and retrieval", "Data visualization" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/977", "name": "Volume 10: OGC CDB Implementation Guidance, Version 1.1.", "description": " - This document provides detailed implementation guidance for developing and maintaining a CDB compliant data store. The CDB standard defines a standardized model and structure for a single, versionable, virtual representation of the earth. A CDB structured data store provides for a geospatial content and model definition repository that is plug-and-play interoperable between database authoring workstations. Moreover, a CDB structured data store can be used as a common online (or runtime) repository from which various simulator client-devices can simultaneously retrieve and modify, in real-time, relevant information to perform their respective runtime simulation tasks. In this case, a CDB is plug-and-play interoperable between CDB-compliant simulators. A CDB can be readily used by existing simulation client-devices (legacy Image Generators, Radar simulator, Computer Generated Forces, etc.) through a data publishing process that is performed on-demand in real-time. The application of CDB to future simulation architectures will significantly reduce runtime-source level and algorithmic correlation errors, while reducing development, update and configuration management timelines. With the addition of the High Level Architecture - -Federation Object Model (HLA\/FOM)1 and DIS protocols, the application of the CDB standard provides a Common Environment to which inter-connected simulators share a common view of the simulated environment. The CDB standard defines an open format for the storage, access and modification of a synthetic environment database. A synthetic environment is a computer simulation that represents activities at a high level of realism, from simulation of theaters of war to factories and manufacturing processes. These environments may be created within a single computer or a vast distributed network connected by local and wide area networks and augmented by super-realistic special effects and accurate behavioral models. SE allows visualization of and immersion into the environment being simulated2. This standard defines the organization and storage structure of a worldwide synthetic representation of the earth as well as the conventions necessary to support all of the subsystems of a full-mission simulator. The standard makes use of several commercial and simulation data formats endorsed by leaders of the database tools industry. A series of associated OGC Best Practice documents define rules and guidelines for data representation of real world features. The CDB synthetic environment is a representation of the natural environment including external features such as man-made structures and systems. A CDB data store can include terrain relief, terrain imagery, three-dimensional (3D) models of natural and manmade cultural features, 3D models of dynamic vehicles, the ocean surface, and the ocean bottom, including features (both natural and man-made) on the ocean floor. In addition, the data store can includes the specific attributes of the synthetic environment data as well as their relationships.The associated CDB Standard Best Practice documents provide a description of a data schema for Synthetic Environmental information (i.e., it merely describes data) for use in simulation. The CDB Standard provides a rigorous definition of the semantic meaning for each dataset, each attribute and establishes the structure\/organization of that data as a schema comprised of a folder hierarchy and files with internal (industry-standard) formats. A CDB conformant data store contains datasets organized in layers, tiles and levels-ofdetail. Together, these datasets represent the features of a synthetic environment for the purposes of distributed simulation applications. The organization of the synthetic environmental data in a CDB compliant data store is specifically tailored for real-time applications. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/977", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/977", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/977", "url": "https:\/\/hdl.handle.net\/11329\/977" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1949", "name": "Integration of oil detection functionality to FerryBox system. GRACE WP1, D1.2. Verson 1.2.", "description": " - Our knowledge of the ocean is limited by our observational ability. To better understand and manage the oceans and the coastal systems, there is a clear need for environmental data of higher spatial and temporal resolution. Long-term operation of FerryBox systems has demonstrated the reliability and cost-effectiveness of such systems for observing the state of the ocean and seas over a wide range of temporal and spatial scales. There is great potential for data coverage using ferries and cargo ships of opportunity (SOOP) cruising on the same route on a regular basis, especially in coastal regions. It is fair to say that FerryBox systems have, reached reliability status. The installed systems can integrate data from water quality and meteorological sensors with GPS information into a data stream that is automatically transferred from ship to shore. Different applications reveal the usefulness of FerryBox measurements not only for monitoring purposes but for scientific questions as well. There is still a particular lack of robust biogeochemical observations in the oceans and especially in the coastal regions with their high biological activity. Numerous promising technologies for betterautomated measurements of different biologically relevant parameters are under development, or are even at a mature stage. FerryBoxes are ideal platforms to integrate such a sensor systems, even if they are in the development stage, as they offer a protected environment and easy access for maintenance and other issues. In general, all FerryBox systems employ a quite similar basic design. The system consists of a water inlet from where the water is pumped into the measuring circuit containing multiple sensors. A basic system includes usually sensors for temperature, salinity, turbidity and chlorophyll-a fluorescence, and a GPS receiver for position control. Data is transmitted to shore via GSM\/GPRS connection or satellite communication. Marine Systems Institute at Tallinn University of Technology has maintained FerryBox on ferry M\/S ROMANTIKA for over three years, between Riga-Stockholm and later Tallinn-Stockholm. During that time, many different parameters like temperature, salinity, chlorophyll-a etc. were continuously measured and the results could be seen online in real time. In the end of 2016 M\/S ROMANTIKA was replaced with MS\/ BALTIC QUEEN and the FerryBox system with some modification and oil detection capability, reinstalled to the ship. Data is represented on a webpage http:\/\/on-line.msi.ttu.ee\/GRACEferry\/. Preliminary results of PAH measurements with FerryBox system on M\/S BALTIC QUEEN on the route Tallinn-Stockholm-Tallinn (05.02.2017-14.02.2017) showed good data quality - PAH concentration varied between 0.014 \u03bcg\/l and 0.093 \u03bcg\/l. Differences in PAH concentrations between coastal areas and open sea could be seen. - , - European Commission, Contract n\u00b0 679266 Horizon 2020 BG-2014-2015\/BG2015-2 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - FerryBox - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1949", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1949", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1949", "url": "https:\/\/hdl.handle.net\/11329\/1949" }, "author": [ { "@type": "Person", "name": "P\u00e4rt, Siim" }, { "@type": "Person", "name": "K\u00f5uts, Tarmo" }, { "@type": "Person", "name": "Vahter, Kaimo" } ], "contributor": [ { "@type": "Organization", "name": "Finnish Environment Institute (SYKE) for GRACE Project" } ], "keywords": [ "FerryBox", "SOOP", "Ships of Opportunity", "Voluntary ships", "Physical oceanography", "CTD", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1375", "name": "The Gravitational Acceleration Wave Buoy.", "description": " - This regulation is applicable to the first verification, subsequent verification and in-service inspection of gravitational acceleration wave buoys (hereinafter referred to as \u201cwave buoy\u201d) and gravitational acceleration wave sensors\/transducers (hereinafter referred to as \u201cwave sensor\/transducer\u201d). - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1375", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1375", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1375", "url": "https:\/\/hdl.handle.net\/11329\/1375" }, "author": [ { "@type": "Person", "name": "Cheng, Shaohua" }, { "@type": "Person", "name": "Yu, Jianqing" }, { "@type": "Person", "name": "Yu, Huili" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine" } ], "keywords": [ "Parameter Discipline::Physical oceanography::Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2311", "name": "OceanSITES Data Providers\u2019 Guide, Version 1.3 February 27, 2020.", "description": " - This document contains guidelines for providing metadata and data, describes the OceanSITES file naming scheme, and how to upload to GDACs. It should be used in conjunction with the Data Format Reference Manual. Intended users are OceanSITES data providers. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2311", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2311", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2311", "url": "https:\/\/hdl.handle.net\/11329\/2311" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization- OceanOPS" } ], "keywords": [ "Physical oceanography", "Data processing", "Data exchange" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/749", "name": "Performance Verification Statement for the Sunburst SAMI-pH Sensor.", "description": " - The Alliance for Coastal Technology (ACT) conducted a sensor verification study of in situ pH sensors during 2013 and 2014 to characterize performance measures of accuracy and reliability in a series of controlled laboratory studies and field mooring tests in diverse coastal environments. A ten week long laboratory study was conducted at the Hawaii Institute of Marine Biology and involved week long exposures at a full range of temperature and salinity conditions. Tests were conducted at three fixed salinity levels (0.03, 22, 35) at each of three fixed temperatures (10, 20, 30 oC). Ambient pH in the test tank was allowed to vary naturally over the first five days. On the sixth day the pH was rapidly modified using acid\/base additions to compare accuracy over an extended range and during rapid changes. On the seventh day the temperature was rapidly shifted to the next test condition. On the tenth week a repeated seawater trial was conducted for two days while the temperature was varied slowly over the 10 \u2013 30 oC range. Four field-mooring tests were conducted to examine the ability of test instruments to consistently track natural changes in pH over extended deployments of 4-8 weeks. Deployments were conducted at: Moss Landing Harbor, CA; Kaneohe Bay, HI; Chesapeake Bay, MD; and Lake Michigan, MI. Instrument performance was evaluated against reference samples collected and analyzed on site by ACT staff using the spectrophotometric dye technique following the methods of Yao and Byrne (2001) and Liu et al. (2011). A total of 263 reference samples were collected during the laboratory tests and between 84 \u2013 107 reference samples were collected for each mooring test. This document presents the results of the Sunburst SAMI-pH which measures pHT spectrophotometrically using a dye-based colorimetric reaction. The SAMI-pH operated continuously throughout the entire ten week lab test and generated 3140 useable measurements out of a total possibility of 3154 timepoints. The total range of pH measured by the SAMI-pH was 6.273 to 8.441, compared to the range of our discrete reference samples of 6.943 to 8.502.The SAMI-pH showed some differences in accuracy across the various test solutions and pH ranges, as would be expected based on the specific setup of the instrument in terms of the indicator dye used and its known operational range. For the complete Lab test, the mean of the differences between the SAMI-pH measurement and reference pH was -0.017 \u00b10.970 (N=263), with a total range of -1.159 to 0.140. The larger offsets only occurred during the rapid pH shifts (see Appendix 1) and comparisons for only the stable testing conditions had a mean difference from reference measurements of -0.010 \u00b10.058 (N=193), with a total range of -0.048 to 0.063. Instrument measurements conducted at ten weeks with the second seawater trial exhibited a similar level of accuracy with a mean difference from reference of -0.010 \u00b1 0.033 (N=8) compared to 0.014 \u00b1 0.003 (N=27) for measurements in the first week of the lab test. At Moss Landing Harbor the field deployment test was conducted over 28 days with a mean temperature and salinity of 16.6 oC and 33. The measured pH range from our 84 discrete reference samples was 7.933 \u2013 8.077 compared to a range of 7.798 \u2013 8.150 reported by the SAMI-pH for 2564 observations conducted continuously at 15 minute intervals. The average and standard deviation of the measurement difference between the SAMI-pH and reference samples over the total deployment was 0.039 \u00b10.003 with a total range of -0.123 to 0.158. The useable data return for the deployment was 100%. At Kaneohe Bay the field deployment test was conducted over 88 days with a mean temperature and salinity of 24.5 oC and 34.4. The measured pH range from our 101 discrete reference samples was 7.814 \u2013 8.084 compared to a range of 7.678 \u2013 8.220 reported by the SAMI-pH for 4211 observations conducted continuously at 30 minute intervals. The average and standard deviation of the measurement difference between the SAMI-pH and reference samples over the total deployment was -0.014 \u00b10.016 with a total range in the differences of 0.068 to 0.025. The useable data return for the deployment was 100%. At Chesapeake Bay the field deployment test was conducted over 30 days with a mean temperature and salinity of 5.9 oC and 12.8. The measured pH range from our 107 discrete reference samples was 8.024 \u2013 8.403 compared to a range of 8.121 \u2013 8.479 reported by the SAMI-pH for 1842 observations conducted continuously at 15 minute intervals during the first 20 days of operations. Following this date, the instrument reported 175 non-determined values and exhibited a noticeable increased offset so the remaining data was considered compromised. The average and standard deviation of the measurement difference between the SAMI-pH and reference samples for the period up to April 1 was 0.041 \u00b10.033 (n=69), with the total range of differences between -0.086 to 0.114. The reported data return for the deployment was 94% but again only 69% of the data was considered fully reliable. At Lake Michigan the field deployment test was conducted over 29 days with a mean temperature and salinity of 21.2 oC and 0.03. Two SAMI-pH units were deployed at this test site, one equipped with MetaCresol Purple (mCP) as the indicator dye and one with Phenol Red (PR) as the indicator dye. The Phenol Red method was considered to be experimental for the company at the time and was being tested for freshwater applications. The measured range in ambient pH for the 98 reference samples was 8.013 \u2013 8.526. The original range in pH reported by the SAMI-pH (PR) was 6.606 \u2013 9.305 for 2564 observations conducted continuously at 15 minute intervals. After removing fifty-one observations that were identified as outliers based on a difference between the paired SAMI-pH units of more than two times the mean, the measured range was reduced to 7.658 \u2013 8.687. The average and standard deviation of the measurement difference between the SAMI-pH (PR) and reference samples for the edited dataset was 0.021 \u00b10.047 with a range of -0.095 to 0.177. The omitted data represents 1.7 % of the returned data but represents a more realistic summary of the expected accuracy and uncertainty for the technology. The measured range of the SAMI-pH (mCP) samples was 7.813 \u2013 8.405 based on 2665 observations conducted continuously at 15 minute intervals. The average and standard deviation of the measurement difference between the SAMI-pH (mCP) and reference samples over the total deployment was range was -0.162 \u00b10.045 and the total range of the differences was between -0.333 to -0.068. The useable data return for this unit was 100%. A summary plot of the SAMI-pH versus dye reference pH for all sites indicated that the SAMI-pH responded consistently among all test sites which covered a salinity range of freshwater to full seawater and temperatures from 3-26 oC. As expected there was a consistent offset in results reported within the Great Lakes test for the SAMI-pH with MetaCresol Purple indicator dye compared with the unit operating with the Phenol Red dye indicator. The SAMIpH (PR) results closely match the reference samples since ACT also used Phenol Red as the indicator dye for their analysis. Lastly, it is worth emphasizing that the continuous 15 \u2013 30 minute time-series provided by the test instrument was able to resolve a significantly greater dynamic range and temporal resolution than could be obtained from discrete reference samples. There were no obvious changes in the differences between instrument and reference measurements during the duration of the mooring test, indicating that biofouling and instrument drift had not significantly affected measurement performance. Continuous in situ monitoring technologies, such as the Sunburst SAMI-pH, provide critical research and monitoring capabilities for helping to understand and manage important environmental processes such as carbonate chemistry and ocean acidification, as well as numerous other environmental or industrial applications. - , - Published - , - Refereed - , - Current - , - Inorganic carbon - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/749", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/749", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/749", "url": "https:\/\/hdl.handle.net\/11329\/749" }, "author": [ { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Atkinson, M." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Loewensteiner, D." }, { "@type": "Person", "name": "Epperson, Z." }, { "@type": "Person", "name": "Tamburri, M." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ], "keywords": [ "Physical Oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/999", "name": "Best practices related to mooring set-up. Presented at: Workshop on training for less experienced users of hardware 15th September 2015, Trieste, Italy.", "description": " - Approaching an oceanographic mooring Principles of \u201cBest Practices\u201d in all phases of the system (predeployment test, maintenance, calibration etc.) should be followed. They cover the entire infrastructural chain of data acquisition from sensor (performance, robustness, accuracy, etc.) to supporting system (cabling, electric and electronic components, etc.). The user needs to take into account: \u2022 Scientific aim (geographic location, physical and biogeochemical properties in the region, etc.) \u2022 Mooring Design \u2022 Chose of hardware \u2022 Technical and scientific staff \u2022 Logistics \u2022 Costs \u2022 Risks - , - Published - , - Refereed - , - Current - , - 14.a - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/999", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/999", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/999", "url": "https:\/\/hdl.handle.net\/11329\/999" }, "author": [ { "@type": "Person", "name": "Bensi, Manuel" }, { "@type": "Person", "name": "Siena, Giuseppe" } ], "contributor": [ { "@type": "Organization", "name": "OGS: Istituto Nazionale di Oceanografia e Geofisica Sperimentale" } ], "keywords": [ "Fix03", "Mooring lines", "Mooring deployment", "Parameter Discipline::Physical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/718", "name": "Soft bottom macrofauna: Collection, treatment, and quality assurance of samples.", "description": " - The aim of these recommendations is to standardize the methods used by different scientists for benthos surveys in order to increase the comparability of results for different areas. The results of ICES\/HELCOM Quality Assurance workshops, intercalibrations, and ring tests have been incorporated in this set of recommendations in order to increase the quality, reliability and, thus, comparability of benthos data at a time when an increasing number of researchers and institutions are engaged in sorting and analysing benthos samples before their final evaluation and the storage of information in public data banks. The choice of an appropriate sampler depends on the average living depth of the infauna in question, which can range from the upper millimetre down to almost one metre. Possible discrepancies between the penetration depth of the sampler and the actual living depth must be considered when analysing the results. This set of recommendations covers all steps from the design of the sampling programme to considerations of which gear to use, and all ship-board methods such as sampling with grabs, corers, dredges, and trawls. There is no single standard sampling gear for benthos investigations. The choice of a suitable sampler is a compromise between specific sampling characteristics in different sediment regimes in the area to be sampled, good handling characteristics at sea in bad weather conditions, suitability for various ships, financial limitations, tradition, and scientific questions. Criteria for the rejection of samples are identified. Treatment of samples is described in detail including sieving, transfer of the sample to the sample vessel, fixation, staining, and labelling, followed by a description of laboratory procedures such as sorting, taxonomic identification, and biomass determinations. A list of items for in-house quality assurance is included together with diagrams of suitable sieving devices and details for a warp-rigged Van Veen grab. - , - Published - , - Refereed - , - Current - , - Benthic invertebrate abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/718", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/718", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/718", "url": "https:\/\/hdl.handle.net\/11329\/718" }, "author": [ { "@type": "Person", "name": "Rumohr, H." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1871", "name": "Lineamientos T\u00e9cnicos y de Gesti\u00f3n para la Atenci\u00f3n de la Contingencia Ocasionada por Sargazo en el Caribe Mexicano y el Golfo de M\u00e9xico.", "description": " - Over the last year, the Mexican government worked along local stakeholders (both public and private) to update the Sargassum Management Guidelines published a couple of years back. These new guidelines provide recommendations on best practices to recover the algae in the marine and coastal areas, artificial barriers, management around human health and turtle nesting beaches, monitoring and potential use of the algae. It also introduces a soon-to-be-online tool (currently only for Mexican territory) to upload citizen data on sargassum recollection. - , - Mexico Government - , - Published - , - Refereed - , - El g\u00e9nero Sargassum, comprende especies de macroalgas de la clase Phaeophyceae (algas pardas), que incluye m\u00e1s de 300 especies tanto bent\u00f3nicas como holopel\u00e1gicas (Guiry & Guiry, 2019). Las especies bent\u00f3nicas se fijan a un sustrato durante toda su vida, mientras que las holopel\u00e1gicas se pueden agregar para formar extensas masas flotantes en la superficie del mar (en ocasiones denominadas tapetes o parches). Este es el caso del sargazo que arriba a las costas del Caribe Mexicano. El Mar de los Sargazos, en el Oc\u00e9ano Atl\u00e1ntico Norte, est\u00e1 reconocido como el lugar de mayor abundancia de sargazo pel\u00e1gico (Deacon, 1942; Franks et al., 2016). La importancia ecol\u00f3gica de estas algas se debe a que forman un h\u00e1bitat esencial para diversos peces e invertebrados, siendo muy importante para larvas y juveniles de diversas especies, dado que les provee refugio, alimento y sombra (Farrel et al., 2014; Huffard et al., 2014). Hay que mencionar tambi\u00e9n que el sargazo favorece la conectividad en el sistema marino, aunque tambi\u00e9n puede ser un vector de especies no-nativas. En a\u00f1os recientes se ha presentado el arribo masivo de estas macroalgas holopel\u00e1gicas en las costas del Mar Caribe Mexicano, siendo dos especies las que est\u00e1n asociadas a este fen\u00f3meno: Sargassum natans y S. fluitans, las cuales han ocasionado problemas ambientales relacionados con el sector tur\u00edstico, econ\u00f3mico y de salud (van Tussenbroek et al.,2017). Las arribazones masivos de sargazo parecen deberse a una combinaci\u00f3n de procesos que incluyen la eutrofizaci\u00f3n por la contaminaci\u00f3n humana y los cambios en las condiciones oce\u00e1nicas. La eutrofizaci\u00f3n se da, principalmente, por derrames del r\u00edo Amazonas y \u00c1frica occidental, que proporciona un enriquecimiento de nutrientes para el sargazo, lo que le permite prosperar m\u00e1s de lo que lo har\u00eda en una condici\u00f3n de bajos nutrientes. Los cambios en las condiciones oceanogr\u00e1ficas, como los cambios de temperatura en el oc\u00e9ano, mejoran a\u00fan m\u00e1s las condiciones para que el sargazo florezca en el Mar Caribe (Brooks et al. 2019). Johns et al. (2020) atribuyen la causa inicial del flujo masivo de Sargassum a vientos extremos at\u00edpicos, los cuales desencadenan un punto de inflexi\u00f3n en el Mar de los Sargazos, trasladando grandes cantidades al Mar Caribe. Algunos de estos cambios en las condiciones oce\u00e1nicas pudieran estar asociados al cambio clim\u00e1tico, pero es necesario llevar a cabo m\u00e1s estudios cient\u00edficos al respecto. Si el sargazo no se maneja apropiadamente, su descomposici\u00f3n genera gases de \u00e1cido sulfh\u00eddrico (H2S) y de metano (CH4) (Su\u00e1rez & Mart\u00ednez-Daranas, 2018; Oyesiku & Egunyomi, 2015), e incrementa la emisi\u00f3n de gases de efecto invernadero (GEI) los cuales afectan la salud humana, la calidad del aire y la composici\u00f3n bioqu\u00edmica del ecosistema costero, debido a que los lixiviados de estas algas introducen enormes cantidades de compuestos org\u00e1nicos (por ejemplo, taninos) e inorg\u00e1nicos (nitratos, fosfatos y metales) a estas aguas originalmente oligotr\u00f3ficas. La presencia de compuestos inorg\u00e1nicos como los nitratos y fosfatos, as\u00ed como la utilizaci\u00f3n de maquinaria y equipo no adecuados para remover el sargazo de la playa, provoca afectaciones a la biodiversidad marina (van Tussenbroek et al.,2017), as\u00ed como la alteraci\u00f3n y desestabilizaci\u00f3n de los perfiles de playa, p\u00e9rdida de sedimentos, compactaci\u00f3n del suelo, eliminaci\u00f3n peri\u00f3dica de residuos naturales acumulados, p\u00e9rdida de vegetaci\u00f3n y alteraci\u00f3n del proceso de formaci\u00f3n de dunas. Tambi\u00e9n, la remoci\u00f3n mecanizada del sargazo en las playas puede alterar el aporte natural de materia org\u00e1nica, disminuyendo el desarrollo de microorganismos y fauna intersticial, as\u00ed como la cantidad de nutrientes necesarios para las comunidades vegetales en tierra, lo que afecta negativamente a las dunas embrionarias y, por consiguiente, la estabilizaci\u00f3n natural del sedimento (Innocenti et al., 2018). - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Multi-organisational - , - National - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1871", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1871", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1871", "url": "https:\/\/hdl.handle.net\/11329\/1871" }, "contributor": [ { "@type": "Organization", "name": "Medio Ambiente and INECC" } ], "keywords": [ "Sargassum Management", "Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/711", "name": "Control procedures: Good laboratory practice and quality assurance.", "description": " - Good Laboratory Practice (GLP) is one of the manifestations of the increased attention being paid to quality control measures in general. It provides a framework designed to bring the quality of laboratory results into accord with predefined standards and to maintain the quality at this level. The need for such a framework arises from the economic, political, and scientific implications that laboratory studies may have, which place demands on the reliability and comparability of the results. The value of Quality Control became clear in the 1950s during the reconstruction of Japanese industry, which had acquired a reputation for manufacturing cheap products of poor quality. During the reconstruction process, the work of Deming, an American pioneer in quality control, was used to advantage (20, 37). In the 1970s the U.S. Food and Drug Administration (FDA) and the Environmental Protection Agency (EPA) collaborated closely in the development of Good Laboratory Practice regulations (8, 13). The motive for developing such guidelines was the lack of reliable and comparable methods of obtaining results. In 1979 the principles of Good Laboratory Practice were made mandatory for U.S. Government contractors. During 1979\/1980 in Europe a group of experts under the auspices of the Organisation for Economic Co-operation and Development (OECD) produced the document \"OECD Principles of Good Laboratory Practice\" (1). The purpose of this document was to promote the development of data of high quality, because good comparability of test data is a prerequisite to mutual acceptance of the data among countries. Legislation on this document was enacted in 1981 by members of the OECD. At first, the principles of Good Laboratory Practice were only prescribed for laboratories engaged in toxicological research for the pharmaceutical industry. Both the FDA and OECD guidelines mentioned above have this aim. Today the principles of Good Laboratory Practice have a wider scope. This overview provides a brief introduction to GLP and Quality Assurance. The aim of this paper is to give insight into the available literature on these topics. The several components of GLP and Quality Assurance are re- viewed but not discussed in detail. Detailed information is provided in the reference list. - , - Published - , - Refereed - , - Current - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/711", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/711", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/711", "url": "https:\/\/hdl.handle.net\/11329\/711" }, "author": [ { "@type": "Person", "name": "Vijverberg, F. A. J. M." }, { "@type": "Person", "name": "Cofino, W. P." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/366", "name": "Guidelines on Best Practices for Climate Data Rescue", "description": " - This technical document is an update of WMO\/TD-1210, WCDMP-55, Guidelines on Climate Data Rescue (2004). It builds on the original Guidelines, while taking into account both changes in technology that have occurred in the intervening 12 years and lessons learned in more recent climate data rescue activities around the world. An overview of data rescue is presented with chapters on its importance, archiving original media, imaging, digitization and archiving digital images and digital data. Twelve appendices provide supporting information. The Guidelines on Climate Data Rescue are intended to provide guidance in the form of recommended best practices. Because of the diversity of National Meteorological and Hydrological Services (NMHS) with respect to the size and stage of technological development, along with the variability of weather types and climate, some practices may not be useful for every WMO Member. That being said, the Guidelines cover a wide range of guidance that should provide assistance on how to organize and implement data rescue and provide generalized technological solutions for every Member. More specific technological information, as well as informative illustrations and photos, may be found at the International Data Rescue (I-DARE) portal that is maintained by WMO with the assistance of the Royal Netherlands Meteorological Institute and the WMO Commission of Climatology Expert Team on Data Rescue. While specific to weather and climate data, these best practices could also be applied to the rescue of data in other scientific fields, both within the remit of WMO and beyond. In particular, the rescue of hydrological, marine and other environmental data follows similar overall principles and practices and is basically considered to be within the scope of these Guidelines. Specificities of such data, however, need to be identified and taken into account in close collaboration with the respective communities, including, for example, the WMO Commission for Hydrology and the WMO\u2013Intergovernmental Oceanographic Commission (UNESCO) Joint Technical Commission for Oceanography and Marine Meteorology - , - Published - , - Refereed - , - Current - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/366", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/366", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/366", "url": "https:\/\/hdl.handle.net\/11329\/366" }, "contributor": [ { "@type": "Organization", "name": "World Meteorological Organization" } ], "keywords": [ "Climate data", "Data archaeology", "Data rescue", "Digitization", "Parameter Discipline::Atmosphere::Meteorology", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/687", "name": "Soft bottom macrofauna: Collection and treatment of samples.", "description": " - The aim of these recommendations 1 is to standardize the methods used by different scientists for long-term benthos surveys, in order to increase the comparability of results for different areas and to enable, inter alia, detection of large-scale changes in the system that would not otherwise be detected by a single scientist. In these recommendations, soft bottoms are defined as those with sediments ranging from mud to, and including, sand. For descriptive surveys, macrofauna is defined as animals retained on a 1 mm sieve (mesh size 1 x 1 mm). However, if a finer sieve is used for some other purpose, the 1 mm sieve fraction should always be studied and reported separately to allow comparisons. For a more comprehensive treatment of sampling design, procedures, and alternatives, the reader is referred to, e.g., Kajak (1963), Cochran (1977), Elliott (1977), Downing and Rigler (1984), Holme and McIntyre (1984), and Baker and Wolff (1987). - , - Published - , - Refereed - , - Current - , - Benthic invertebrate abundance and distribution - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/687", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/687", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/687", "url": "https:\/\/hdl.handle.net\/11329\/687" }, "author": [ { "@type": "Person", "name": "Rumohr, H." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2502", "name": "ISO 11905-1:1997. Water quality \u2014 Determination of nitrogen Part 1: Method using oxidative digestion with peroxodisulfate. Edition 1. [Reviewed 2019]", "description": " - This part of ISO 11905 describes the peroxodisulfate oxidation of nitrogen compounds in water to produce nitrate. Specific details of the determination of a continuous flow method with initial reduction of nitrate to nitrite by copperized cadmium are then reported. The procedures referred to in the normative method is the reference method. Annex C gives examples of alternative techniques suitable for the determination of nitrate in the digest solution. While staying within the scope of this part of ISO 11905, it is permissible to use such alternatives only provided that their performance meets or is better than that given in table A.1, when calculated using procedures described in ISO 5725-2, and when the comparison of precision data between this part of ISO 11905 and any alternative technique is carried out using the procedures described in ISO 2854. All references to nitrogen concentrations are expressed in milligrams of nitrogen per litre of solution (mg\/l). 1 Scope This part of ISO 11905 specifies a method for the determination of nitrogen present in water, in the form of free ammonia, ammonium, nitrite, nitrate and organic nitrogen compounds capable of conversion to nitrate under the oxidative conditions described. Dissolved nitrogen gas is not determined by this method. This method is applicable to the analysis of natural fresh water, sea water, drinking water, surface water and treated sewage effluent. It is also applicable to the analysis of sewage and trade wastes in which the amount of organic matter in the test portion can be kept below 40 mg\/l, expressed as carbon (C), when measured by Total Organic Carbon (TOC), or 120 mg\/l, expressed as oxygen (O2), when measured by Chemical Oxygen Demand (COD) according to the respective International Standards. - , - Published - , - Refereed - , - Current - , - 14.a - , - Nutrients - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2502", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2502", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2502", "url": "https:\/\/hdl.handle.net\/11329\/2502" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Nitrate", "Ammonium", "Organic nitrogen compounds", "ISO Standard", "Nutrients", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1500", "name": "Perspectives on Documenting Methods to Create Ocean Best Practices.", "description": " - This perspective outlines how authors of ocean methods, guides, and standards can harmonize their work across the scientific community. We reflect on how documentation practices can be linked to modern information technologies to improve discoverability, interlinkages, and thus the evolution of distributed methods into common best practices within the ocean community. To show how our perspectives can be turned into action, we link them to guidance on using the IOC-UNESCO Ocean Best Practice System to support increased collaboration and reproducibility during and beyond the UN Decade of Ocean Sciences for Sustainable Development. - , - Refereed - , - 14.A - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1500", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1500", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1500", "url": "https:\/\/hdl.handle.net\/11329\/1500" }, "author": [ { "@type": "Person", "name": "Horstmann, Cora" }, { "@type": "Person", "name": "Buttigieg, Pier Luigi" }, { "@type": "Person", "name": "Simpson, Pauline" }, { "@type": "Person", "name": "Pearlman, Jay" }, { "@type": "Person", "name": "Waite, Anya M." } ], "keywords": [ "Ocean Best Practices System", "Ocean observations", "Method documentation", "Interoperability", "Digital repository", "BP4BP", "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2439", "name": "Remote Monitoring Checklist for Radial Sites : Remote monitoring , 11 August 2011.", "description": " - Some basic daily and weekly checks of diagnostics and data quality will help in network maintenance and remote troubleshooting and early detection of any problems creeping up resulting in less downtime and overall time and cost savings. - , - Published - , - Non Refereed - , - Current - , - 14.a - , - Surface currents - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Multi-organisational - , - surface currents - , - High Frequency Radar - , - SeaSonde - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2439", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2439", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2439", "url": "https:\/\/hdl.handle.net\/11329\/2439" }, "author": [ { "@type": "Person", "name": "Barrick, Donald" } ], "contributor": [ { "@type": "Organization", "name": "CODAR Ocean Sensors" } ], "keywords": [ "HF radar", "SeaSonde", "Remote sensing", "Currents", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1425", "name": "A Comparison between Four Analytical Methods for the Measurement of Fe(II) at Nanomolar Concentrations in Coastal Seawater.", "description": " - Dissolved Fe(II) in seawater is deemed an important micronutrient for microbial organisms, but its analysis is challenging due to its transient nature. We conducted a series of Fe(II) method comparison experiments, where spikes of 5 to 31 nMFe(II) were added to manipulated seawaters with varying dissolved oxygen (37 to156\u03bcM) concentrations. The observed Fe(II) concentrations from four analytical methods were compared: spectrophotometry with ferrozine, stripping voltammetry, and flowinjection analysis using luminol (with, and without, a pre-concentration column). Direct comparisons between the different methods were undertaken from the derived apparent Fe(II) oxidation rate constant (k1). Whilst the two luminol based methods produced the most similar concentrations throughout the experiments, k1 was still subject to a 20\u201330%discrepancy between them. Contributing factors may have included uncertainty in the calibration curves, and different responses to interferences from Co(II) and humic\/fulvic organic material. The difference in measured Fe(II) concentrations between the luminol and ferrozine methods, from 10 min\u20132 h after the Fe(II) spikes were added, was always relatively large in absolute terms (>4 nM) and relative to the spike added (>20% of the initial Fe(II) concentration). k1 derived from ferrozine observed Fe(II) concentrations was 3\u201380%, and 4\u201316%, of that derived from luminol observed Fe(II) with, and without, pre-concentration respectively. The poorest comparability o fk1was found after humic\/fulvic material was added to raise dissolved organic carbon to 120\u03bcM. A luminol method without pre-concentration then observed Fe(II) to fall below the detection limit (<0.49nM) within 10 min of a 17nM Fe(II) spike addition, yet other methods still observed Fe(II) concentrations of 2.7 to 3.7nM 30 min later. k1 also diverged accordingly with the ferrozine derived value 4% of that derived from luminol without pre-concentration.These apparent inconsistencies suggest that some inter-dataset differences in measured Fe(II) oxidation rates in natural waters may be attributable to differences in the analytical methods used rather than arising solely from substantial shifts in Fe(II) speciation. - , - Refereed - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1425", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1425", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1425", "url": "https:\/\/hdl.handle.net\/11329\/1425" }, "author": [ { "@type": "Person", "name": "Hopwood, Mark J." }, { "@type": "Person", "name": "Birchill, Antony J." }, { "@type": "Person", "name": "Gledhill, Martha" }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Klar, Jessica K." }, { "@type": "Person", "name": "Milne, Angela" } ], "keywords": [ "Fe(II) methods", "Iron", "Luminol chemiluminescence", "Ferrozine", "Voltammetry", "Parameter Discipline::Chemical oceanography" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2168", "name": "Marine mammal ecology and health: finding common ground between conventional science and indigenous knowledge to track arctic ecosystem variability.", "description": " - Marine mammals respond to, and thereby reflect, changes in Arctic ecosystems that are important both to practitioners of conventional science (CS) and to holders of indigenous knowledge (IK). Although often seen as contrasting approaches to tracking ecosystem variability, when CS and IK are combined they can provide complementary and synergistic information. Despite exceptions, ecosystem-focused CS is often spatially broad and time shallow (1000 s km, decades) while IK is comparatively narrow spatially and time deep (10 s km, centuries). In addition, differences in how information is gathered, stored, applied and communicated can confound information integration from these two knowledge systems. Over the past four decades, research partnerships between CS practitioners and IK holders have provided novel insights to an Alaskan Arctic marine ecosystem in rapid transition. We identify insights from some of those projects, as they relate to changes in sea ice, oceanography, and more broadly to marine mammal ecology and health. From those insights and the protocols of existing community-based programs, we suggest that the strong seasonal cycle of Arctic environmental events should be leveraged as a shared framework to provide common ground for communication when developing projects related to marine mammal health and ecology. Adopting a shared temporal framework would foster joint CS-IK thinking and support the development of novel and nonlinear approaches to shared questions and concerns regarding marine mammals. The overarching goal is to extend the range and depth of a common understanding of marine mammal health and ecology during a period of rapid ecosystem alteration. The current focus on CS-IK co-production of knowledge and recent inclusion of marine mammals as essential variables in global ocean observatories makes this an opportune time to find common ground for understanding and adapting to the rapid changes now underway in Arctic marine ecosystems. - , - S E Moore was supported by NOAA\/Fisheries and D D W Hauser was supported by the AAOKH at University of Alaska, Fairbanks during the preparation of this manuscript. We thank H. McFarland for preparation of the figures and three anonymous referees for constructive comments on earlier versions of this paper. - , - Refereed - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2168", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2168", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2168", "url": "https:\/\/hdl.handle.net\/11329\/2168" }, "author": [ { "@type": "Person", "name": "Moore, S.E." }, { "@type": "Person", "name": "Hauser, Donna D. W." } ], "keywords": [ "Arctic ecosystems", "Indigenous Knowledge", "Marine mammal indicators", "Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1105", "name": "OGC Web Services Common Standard. Version 2.0.0.", "description": " - This document specifies many of the aspects that are, or should be, common to all or multiple OGC Web Service (OWS) interface Implementation Standards. These common aspects are primarily some of the parameters and data structures used in operation requests and responses. Of course, each such Implementation Standard must specify the additional aspects of that interface, including specifying all additional parameters and data structures needed in all operation requests and responses. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1105", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1105", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1105", "url": "https:\/\/hdl.handle.net\/11329\/1105" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "OGC", "Web services" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/913", "name": "OGC SensorThings API Part 2 \u2013 Tasking Core, Version 1.0.", "description": " - The OGC SensorThings API [OGC 15-078r6] provides an open, geospatial-enabled and unified way to interconnect the Internet of Things (IoT) devices, data, and applications over the Web. At a high level, the OGC SensorThings API provides two main functions and each function is handled by the Sensing part or the Tasking part. The Sensing part provides a standard way to manage and retrieve observations and metadata from heterogeneous IoT sensor systems. The Tasking part provides a standard way for parameterizing - also called tasking - of taskable IoT devices, such as individual sensors and actuators, composite consumer \/ commercial \/ industrial \/ smart cities in-situ platforms, mobile and wearable devices, or even unmanned systems platforms such as drones, satellites, connected and autonomous vehicles, etc. This document specifies core of the SensorThings Tasking part. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/913", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/913", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/913", "url": "https:\/\/hdl.handle.net\/11329\/913" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Standard", "Sensors", "Internet of things", "SWE", "Sensor web enablement", "Sensor networks" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1676", "name": "Salinity", "description": " - This procedure describes the method for the determination of seawater salinity using a Guildline Portasal\u2122 Salinometer (Model 8410). - , - Published - , - Current - , - 14.a - , - Sea surface salinity - , - Subsurface salinity - , - Mature - , - Multi-organisational - , - Salinometer Guildline Portasal\u2122 (Model 8410). - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1676", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1676", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1676", "url": "https:\/\/hdl.handle.net\/11329\/1676" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Water column temperature and salinity", "salinometers", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/500", "name": "Methods for the Study of Marine Biodiversity.", "description": " - Recognition of the threats to biodiversity and its importance to society has led to calls for globally coordinated sampling of trends in marine ecosystems. As a step to defining such efforts, we review current methods of collecting and managing marine biodiversity data. A fundamental component of marine biodiversity is knowing what, where, and when species are present. However, monitoring methods are invariably biased in what taxa, ecological guilds, and body sizes they collect. In addition, the data need to be placed, and\/or mapped, into an environmental context. Thus a suite of methods will be needed to encompass representative components of biodiversity in an ecosystem. Some sampling methods can damage habitat and kill species, including unnecessary bycatch. Less destructive alternatives are preferable, especially in conservation areas, such as photography, hydrophones, tagging, acoustics, artificial substrata, light-traps, hook and line, and live-traps. Here we highlight examples of operational international sampling programmes and data management infrastructures, notably the Continuous Plankton Recorder, Reef Life Survey, and detection of Harmful Algal Blooms and MarineGEO. Data management infrastructures include the World Register of Marine Species for species nomenclature and attributes, the Ocean Biogeographic Information System for distribution data, Marine Regions for maps, and Global Marine Environmental Datasets for global environmental data. Existing national sampling programmes, such as fishery trawl surveys and intertidal surveys, may provide a global perspective if their data can be integrated to provide useful information. Less utilised and emerging sampling methods, such as artificial substrata, light-traps, microfossils and eDNA also hold promise for sampling the less studied components of biodiversity. All of these initiatives need to develop international standards and protocols, and long-term plans for their governance and support. - , - Published - , - Open access. Paper uploaded to ResearchGate by M Costello - , - Refereed - , - Current - , - 14.2 - , - 14.A - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Fish abundance and distribution - , - Microbe biomass and diversity - , - Best Practice - , - Handbook - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/500", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/500", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/500", "url": "https:\/\/hdl.handle.net\/11329\/500" }, "author": [ { "@type": "Person", "name": "Costello, Mark J." }, { "@type": "Person", "name": "Basher, Zeenatul" }, { "@type": "Person", "name": "McLeod, Laura" }, { "@type": "Person", "name": "Asaad, Irawan" }, { "@type": "Person", "name": "Claus, Simon" }, { "@type": "Person", "name": "Vandepitte, Leen" }, { "@type": "Person", "name": "Yasuhara, Moriaki" }, { "@type": "Person", "name": "Gislason, Henrik" }, { "@type": "Person", "name": "Edwards, Martin" }, { "@type": "Person", "name": "Appeltans, Ward" }, { "@type": "Person", "name": "Enevoldsen, Henrik" }, { "@type": "Person", "name": "Edgar, Graham J." }, { "@type": "Person", "name": "Miloslavich, Patricia" }, { "@type": "Person", "name": "De Monte, Silvia" }, { "@type": "Person", "name": "Sousa Pinto, Isabel" }, { "@type": "Person", "name": "Obura, David" }, { "@type": "Person", "name": "Bates, Amanda E." } ], "contributor": [ { "@type": "Organization", "name": "Springer Open" } ], "keywords": [ "Biodiversity", "Geo BON", "Biological sampling", "Monitoring", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Data Management Practices::Data acquisition", "Data Management Practices::Data processing", "Data Management Practices::Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2244", "name": "Arctic corridors and northern voices project: methods for community-based participatory mapping for low impact shipping corridors in Arctic Canada.", "description": " - Documenting Inuit and local knowledge is critical to its consideration within policy discussions around Arctic shipping; especially considering the rapid increase in ship traffic due to reductions in sea ice and climate change. We present our unique community-based research approach which incorporated youth training, participatory mapping, qualitative focus group discussions, and verification exercises to document Inuit communities\u2019 perspectives in Arctic Canada about Low Impact Shipping Corridors. These qualitative activities provided appropriate context and understanding around community-created maps, community-identified opportunities, concerns, and recommendations, and the policy relevance and feasibility of recommendations posed. Three activity phases were employed; 1) before engaging in in-community research, 2) during in-community research, and 3) after completing in-community research. Spatial and non-spatial data were analyzed using ArcGIS\u00ae and NVivo software, respectively. These methods and observations can inform future research initiatives, particularly transdisciplinary teams, including those involving southern-based (early career) researchers, working in Inuit Nunangat. Methods presented here ensured that scientific processes and outputs were robust and rigorous and research was conducted in a respectful, reciprocal manner. Only through the collaborative efforts of a transdisciplinary team could scientific rigour be attained and respect be afforded. The approach can be easily applied to document community members\u2019 perspectives on local priorities. - , - Refereed - , - 14.2 - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2244", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2244", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2244", "url": "https:\/\/hdl.handle.net\/11329\/2244" }, "author": [ { "@type": "Person", "name": "Dawson, Jackie" }, { "@type": "Person", "name": "Carter, Natalie Ann" }, { "@type": "Person", "name": "Van Luijk, Nicolien" }, { "@type": "Person", "name": "Weber, Melissa" }, { "@type": "Person", "name": "Cook, Alison" } ], "keywords": [ "Community-based research", "Indigenous Knowledge", "Human activity", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/952", "name": "Guidelines and forms for gathering marine litter data, Updated version: 26\/03\/2019. [SUPERSEDED by : http:\/\/dx.doi.org\/10.25607\/OBP-1020]", "description": " - As part of the 3rd phase of EMODnet Chemistry, the scope of attention has been expanded with gathering data and developing access to data and data products for marine litter. This document gives background information about EMODnet strategy for marine litter data collection, its synergy with existing information systems and achievements of EMODnet Chemistry so far. Thereafter it gives detailed information on how to deal with marine litter data for the scope of the EMODnet Chemistry 3 project and, in particular, the formats to be used for gathering and describing marine litter data sets by EMODnet Chemistry participants on a European scale. - , - Published - , - Acknowledgements: We acknowledge the fundamental contribution of EMODnet Chemistry Steering Committee and Technical Working Group, MSFD Technical Subgroup on Marine Litter, Regional Sea Conventions (OSPAR, HELCOM, UNEP\/MAP Barcelona Convention , BSCS Black Sea Commission), ICES, ARPA FVG, CEFAS. We also acknowledge the contribution of the following EU-projects: BASEMAN, PERSEUS, MEDITS, DeFishGear, EMBLAS. - , - Superseded - , - TRL 1 Basic principles observed and reported - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/952", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/952", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/952", "url": "https:\/\/hdl.handle.net\/11329\/952" }, "author": [ { "@type": "Person", "name": "Galgani, Francois" }, { "@type": "Person", "name": "Giorgetti, Alessandra" }, { "@type": "Person", "name": "Le Moigne, Morgan" }, { "@type": "Person", "name": "Brosich, Alberto" }, { "@type": "Person", "name": "Vinci, Matteo" }, { "@type": "Person", "name": "Lipizer, Marina" }, { "@type": "Person", "name": "Molina Jack, Marina Eugenia" }, { "@type": "Person", "name": "Holdsworth, Neil" }, { "@type": "Person", "name": "Schlitzer, Reiner" }, { "@type": "Person", "name": "Hanke, Georg" }, { "@type": "Person", "name": "Moncoiffe, Gwenaelle" }, { "@type": "Person", "name": "Schaap, Dick" }, { "@type": "Person", "name": "Giorgi, Giordano" }, { "@type": "Person", "name": "Addamo, Anna" }, { "@type": "Person", "name": "Chaves Montero, Maria del Mar" } ], "contributor": [ { "@type": "Organization", "name": "EMODnet" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2162", "name": "7 Ocean Data Things: A Self-Guided Course. [TRAINING COURSE]", "description": " - The 7 Ocean Data Things project is based on 23 Data Things by Helene Blowers, but given an Ocean Data context for early career researchers. The 7 Ocean Data Things project is a self guided course, part of CIOOS\u2019 Data Champions Start Early program (funded by the Digital Research Alliance of Canada). It aims to introduce early career researchers to data concepts ranging from as simple as \u201cWhat is data?\u201d all the way through to each part of a data management plan. Data shapes our world and our oceans. As we continue to study the ocean and create projects that will bring us into the future, we need to have plans for that data to ensure its longevity and reuse. Not only is this best practice to ensure an efficient project, but the Tri-Agency of Canada is moving forward in the future to mandate Data Management Plans as essential parts of ethical research. Improving research is the main impetus behind this course, as that will improve FAIR outcomes. - , - Digital Research Alliance of Canada - , - This is a self-directed course about data and data management within an ocean research context. Follow along with these modules to understand the best practices to make you an amazing ocean researcher. There are learning objectives for the entire course itself. If you already meet these objectives, then the course is best taken as a refresher to your knowledge. This course contains 7 Things, each of which is divided into 3 modules, for a total of 21 modules. This division is used to allow the user to pick and choose which modules they feel will be most beneficial to their learning. Each Thing has it\u2019s own associated learning objectives, which you can use to see if the modules within are best taken as a refresher to your own knowledge, or if they are new information to be studied. This is a self-directed course, but can also be taken together with other researchers and used to facilitate discussion, or run as a semi-guided course. - , - 14.a - , - Mature - , - Novel (no adoption outside originators) - , - Training\/Educational material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2162", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2162", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2162", "url": "https:\/\/hdl.handle.net\/11329\/2162" }, "author": [ { "@type": "Person", "name": "Schwanak, Sam" }, { "@type": "Person", "name": "Baccardax-Westcott, Alexi" }, { "@type": "Person", "name": "Fitzsimmons, Shayla" }, { "@type": "Person", "name": "Molloy, Shen" }, { "@type": "Person", "name": "Smit, Michael" } ], "keywords": [ "Training", "Early career researchers", "Ocean Data for People and the Economy", "Introduction to Data Management", "Data Management Plans", "Data in the Research Lifecycle", "Ocean Publishers and Funders", "Data Literacy", "Data Interviews", "Data Discovery", "Data Sharing", "CARE", "Creation and Preservation of Data", "Citation Culture", "Data Licensing", "Controlled Vocabulary", "Metadata", "Walk the Crosswalk", "Identifiers and Linked Data", "Dirty Data", "ECOPs", "Training Course", "Cross-discipline", "Data management planning and strategy development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2352", "name": "Sediment sampling with a core sampler equipped with aluminum tubes and an onboard processing protocol to avoid plastic contamination", "description": " - Microplastics are abundant even on the deep-sea floor far from land and the ocean surface where human activities take place. To obtain samples of microplastics from the deep-sea floor, a research vessel and suitable sampling equipment, such as a multiple corer, a box corer, or a push corer manipulated by a remotely operated (ROV) or human occupied vehicle (HOV) are needed. Most such corers use sampling tubes made of plastic, such as polycarbonate, acrylic, or polyvinyl chloride. These plastic tubes are easily scratched by sediment particles, in particular during collection of coarse sandy sediments, and, consequently, the samples may become contaminated with plastic from the tube. Here, we report on the use of aluminum tubes with both a multiple corer and a push corer to prevent such plastic contamination. When compared with plastic tubes, aluminum tubes have the disadvantages of heavier weight and non-transparency. We suggest ways to overcome these problems, and we also present an onboard processing protocol to prevent plastic contamination during sediment core sampling when plastic tubes are used. - Use of a sediment corer with aluminum tubes reduces the risk of plastic contamination in the sediment samples - The proposed method allows undisturbed sediment cores to be retrieved with comparable efficiency to conventional transparent core tubes - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Novel (no adoption outside originators) - , - Organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2352", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2352", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2352", "url": "https:\/\/hdl.handle.net\/11329\/2352" }, "author": [ { "@type": "Person", "name": "Tsuchiya, Masashi" }, { "@type": "Person", "name": "Nomaki, Hidetaka" }, { "@type": "Person", "name": "Kitahashi, Tomo" }, { "@type": "Person", "name": "Nakajima, Ryota" }, { "@type": "Person", "name": "Fujikura, Katsunori" } ], "keywords": [ "Sediment corer", "Sediment core sampler", "Microplastics", "Aluminum-made core sampler", "Environmental monitoring", "Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2548", "name": "ISO 20233-1:2018 Ships and marine technology \u2014 Model test method for propeller cavitation noise evaluation in ship design Part 1: Source level estimation. Edition 1. [Reviewed 2023]", "description": " - ISO 20233-1:2018 specifies a model test method for propeller cavitation noise evaluation in ship design. The procedure comprises reproduction of noise source, noise measurements, post processing and scaling. The target noise source is propeller cavitation. Thus, this document describes the test set-up and conditions to reproduce the cavitation patterns of the ship based on the similarity laws between the model and the ship. The propeller noise is measured at three stages. The measurement targets for each stage are propeller cavitation noise, background noise, and transmission loss. For the source level evaluations, corrections for the background noise and the transmission loss are applied to the measured propeller cavitation noise. Finally, the full-scale source levels are estimated from the model scale results using a scaling law. - , - Published - , - Refereed - , - Current - , - 14.a - , - Ocean sound - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2548", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2548", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2548", "url": "https:\/\/hdl.handle.net\/11329\/2548" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Propeller cavitation", "Noise measurement", "Acoustics", "Data acquisition", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1323", "name": "Essential biodiversity variables for mapping and monitoring species populations.", "description": " - Species distributions and abundances are undergoing rapid changes worldwide. This highlights the significance of reliable, integrated information for guiding and assessing actions and policies aimed at managing and sustaining the many functions and benefits of species. Here we synthesize the types of data and approaches that are required to achieve such an integration and conceptualize \u2018essential biodiversity variables\u2019 (EBVs) for a unified global capture of species populations in space and time. The inherent heterogeneity and sparseness of raw biodiversity data are overcome by the use of models and remotely sensed covariates to inform predictions that are contiguous in space and time and global in extent. We define the species population EBVs as a space\u2013time\u2013species\u2013gram (cube) that simultaneously addresses the distribution or abundance of multiple species, with its resolution adjusted to represent available evidence and acceptable levels of uncertainty. This essential information enables the monitoring of single or aggregate spatial or taxonomic units at scales relevant to research and decision-making. When combined with ancillary environmental or species data, this fundamental species population information directly underpins a range of biodiversity and ecosystem function indicators. The unified concept we present links disparate data to downstream uses and informs a vision for species population monitoring in which data collection is closely integrated with models and infrastructure to support effective biodiversity assessment. - , - Refereed - , - 14.A - , - TRL 6 System\/subsystem model or prototyping demonstration in a relevant end-to-end environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1323", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1323", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1323", "url": "https:\/\/hdl.handle.net\/11329\/1323" }, "author": [ { "@type": "Person", "name": "Jetz, Walter" }, { "@type": "Person", "name": "McGeoch, Melodie A." }, { "@type": "Person", "name": "Guralnick, Robert" }, { "@type": "Person", "name": "Ferrier, Simon" }, { "@type": "Person", "name": "Beck, Jan" }, { "@type": "Person", "name": "Costello, Mark J." }, { "@type": "Person", "name": "Fernandez, Miguel" }, { "@type": "Person", "name": "Geller, Gary N." }, { "@type": "Person", "name": "Keil, Petr" }, { "@type": "Person", "name": "Merow, Cory" }, { "@type": "Person", "name": "Meyer, Carsten" }, { "@type": "Person", "name": "Muller-Karger, Frank E." }, { "@type": "Person", "name": "Pereira, Henrique M." }, { "@type": "Person", "name": "Regan, Eugenie C." }, { "@type": "Person", "name": "Schmeller, Dirk S." }, { "@type": "Person", "name": "Turak, Eren" } ], "keywords": [ "Marine biodiversity", "Species distribution", "Species population", "Parameter Discipline::Biological oceanography::Biota composition", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1327", "name": "Methodological Studies on Estimates of Abundance and Diversity of Heterotrophic Flagellates from the Deep-Sea Floor.", "description": " - Extreme environmental conditions in the deep sea hamper access to protist communities. In combination with the potentially highly diverse species composition, it demands a wide range of methods to be applied at the same time to guarantee a high resolution of quantitative and qualitative studies of deep-sea heterotrophic flagellates (HF). Within this study, we present a possible combination of several culture-independent and culture-dependent methods available for investigating benthic deep-sea HF communities. Besides live-counting and fixation of HF, we refer to cultivation methods and molecular surveys using next generation sequencing. Laboratory ecological experiments under deep-sea conditions (high pressure, low temperature) could allow the approval of the potential deep-sea origin of sampled HF. The combination of different methods offers a unique possibility to receive detailed information on nanofaunal life in the deep sea. Specific fixation techniques to preserve samples directly at the sampling depth must be applied in further studies to reflect the real biodiversity of the largest habitat on earth. - , - Refereed - , - 14.A - , - Invertebrate abundance and distribution - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1327", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1327", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1327", "url": "https:\/\/hdl.handle.net\/11329\/1327" }, "author": [ { "@type": "Person", "name": "Schoenle, Alexandra" }, { "@type": "Person", "name": "Jeuck, Alexandra" }, { "@type": "Person", "name": "Nitsche, Frank" }, { "@type": "Person", "name": "Venter, Paul" }, { "@type": "Person", "name": "Prausse, Dennis" }, { "@type": "Person", "name": "Arndt, Hartmut" } ], "keywords": [ "Nanofauna", "Protist", "Benthos", "Benthic biodiversity", "Live counting", "Liquid aliquot", "Fixation", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1776", "name": "The right to food security in a changing Arctic: the Nunavut Food Security Coalition and the Feeding My Family campaign.", "description": " - In Nunavut in the Canadian Arctic, Inuit are mobilising themselves and their government to address rising food prices and food insecurity; focusing on the right to a traditional way of life and the challenges brought by climate change and industrialisation. - , - Published - , - Current - , - N\/A - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1776", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1776", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1776", "url": "https:\/\/hdl.handle.net\/11329\/1776" }, "author": [ { "@type": "Person", "name": "Papatsie, Lessee" }, { "@type": "Person", "name": "Ellsworth, Leanna" }, { "@type": "Person", "name": "Meakin, Stephanie" }, { "@type": "Person", "name": "Kurvits, Tiina" } ], "contributor": [ { "@type": "Organization", "name": "Irish Aid, Mary Robinson Foundation: Climate Justice CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and World Food Programme." } ], "keywords": [ "Subsistence", "Inuit", "Traditional knowledge", "Indigenous communites", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/935", "name": "Simple 3D imaging of biogenic silica structures by fluorescence microscopy. Version 2.", "description": " - This protocol describes how to prepare, stain and mount biogenic silica particles (opaline from diatoms, Radiolaria, sponges spicules, phytolith...) for 3D imaging with fluorescence microscopy. The protocol is fast, convenient and affordable. Hence it could be a relevant alternative to X-ray computed tomography or photogrammetry. - , - Published - , - Refereed - , - Current - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/935", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/935", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/935", "url": "https:\/\/hdl.handle.net\/11329\/935" }, "author": [ { "@type": "Person", "name": "Colin, Sebastien" } ], "contributor": [ { "@type": "Organization", "name": "Station Biologique de Roscoff" } ], "keywords": [ "Biogenic silica", "GLOMICON Network", "Parameter Discipline::Marine geology::Rock and sediment sedimentology", "Instrument Type Vocabulary::fluorescence microscopes" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2031", "name": "HELCOM Guidelines for Management of Dredged Material at Sea and HELCOM Reporting Format for Management of Dredged Material at Sea . Adopted by HELCOM 36-2015 on 4 March 2015 and amended by HELCOM 41-2020 on 4 March 2020.", "description": " - Scope: 2.1 The guidelines are designed to assist Contracting Parties in the management of dredged material in ways that will prevent and eliminate pollution in accordance with Article 3 to the 1992 Helsinki Convention, and protect marine species and habitats in the Baltic Sea Area in accordance with Article 152. Dredged materials have been listed in Regulation 1 of Annex V as being permitted to be dumped at sea, as an exception from the general prohibition from dumping in Article 11 (1) of the Convention. 2.2 Any deposit into the maritime area of dredged materials, independently of whether it is considered as \u201cdumping\u201d or \u201cplacement\u201d within the Helsinki Convention (cf. Article 4(a) and Article 2(b)(ii) respectively), should be assessed on a case-by-case basis in order to ensure that it complies with the objectives of the Convention, as outlined in these Guidelines. 2.3 For the Contracting Parties that are also EU Member States, the Guidelines are conceived as a tool assisting them in the management of dredged material that is subject to current European Directives (e.g. Water Framework Directive 2000\/60\/EC, Marine Strategy Framework Directive 2008\/56\/EC, Natura2000 areas under the Birds and Habitat Directives 2009\/147\/EC and 92\/43\/EEC). Also, the Directive 2008\/98\/EC of the Parliament and of the Council of 19 November 2008 on waste, (hereinafter the Waste Framework Directive), has been identified by Contracting Parties as having implications on the management of dredged material. Which implications those are exactly, and how this affects national legislation, remains in many cases unclear. Clarifications regarding the relationship between the existing national interpretations in the application of the Waste Framework Directive to dredged material and the dredged material management guidelines shared in HELCOM Area are provided in the technical background document (cf. 14 REFERENCES). 2.4 The guidelines in particular address the management of dredged material in the maritime area, subsequent to any dredging technique including hydrodynamic and sidecast dredging. In addition to preventing and eliminating adverse effects the guidelines, where appropriate, seek to maintain or enhance the existing environmental conditions and to create new opportunities. 2.5 The guidelines are primarily a scientific and technical framework for assessing dredged material proposed for deposit at sea. While economic considerations are acknowledged, they are not dealt with in detail in these guidelines. This implicates that the detailed procedures described in the guidelines will not be applicable in all national or local circumstances. 2.6 In the context of these guidelines, dredged materials are deemed to be sediments or rocks with associated water, organic matter etc. removed from areas that are normally or regularly covered by water, using dredging or other excavation equipment. 2.7 It is recognised that both removal and deposit of dredged sediments may cause harm to the marine environment. Contracting Parties are encouraged to exercise control over both dredging and dredged material management using a Best Environmental Practice (BEP) approach designed to minimise both the quantity of material that has to be dredged and the impact of the dredging and depositing activities in the maritime area - see Technical Annex III. Contracting Parties are encouraged to develop regional dredged material management plans in order to minimize the possible impacts and maximizing possible benefits from dredging and depositing. Advice on environmentally acceptable dredging techniques is available from a number of international organisations e.g. the Permanent International Association of Navigation Congresses (PIANC), the European and Central Dredging Association (EuDA and CEDA). 2.8 The schematic shown in Figure 1 presents the steps involved in the application of these Guidelines where important decisions should be made. In general, national authorities should use this schematic in an iterative manner (revisiting steps in the processes as needed) ensuring that all steps receive consideration, including consideration of BAT and BEP, before a decision is made to issue or decline a permit. The following sections of this document describe the steps and activities relevant to the Guidelines. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2031", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2031", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2031", "url": "https:\/\/hdl.handle.net\/11329\/2031" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Dredging effects", "Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1315", "name": "Satellite Based Intertidal-Zone Mapping from Sentinel-1 & 2. Final report.", "description": " - The report describes develop methods and results based on radar and optical high resolution (10-20m) satellite imagery from Sentinel-1 C-band synthetic aperture radars (C-SAR) S1A and S1B and Sentinel-2 MultiSpectral Instruments (MSI) S2A and S2B from the European Copernicus Program to map the intertidal zone in Trondheimsfjorden, Norway, with the aim to extend it nationally - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1315", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1315", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1315", "url": "https:\/\/hdl.handle.net\/11329\/1315" }, "author": [ { "@type": "Person", "name": "Haarpaintner, J\u00f6rg" }, { "@type": "Person", "name": "Davids, Corine" } ], "contributor": [ { "@type": "Organization", "name": "NORCE \u2013 Norwegian Research Centre AS" } ], "keywords": [ "Radar remote sensing", "Satellite imagery", "Coastal zone management", "Intertidal zone", "Parameter Discipline::Cross-discipline", "Instrument Type Vocabulary::satellite tracking system" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1459", "name": "Planet Microbe: a platform for marine microbiology to discover and analyze interconnected \u2018omics and environmental data.", "description": " - In recent years, large-scale oceanic sequencing efforts have provided a deeper understanding of marine microbial communities and their dynamics. These research endeavors require the acquisition of complex and varied datasets through large, interdisciplinary and collaborative efforts. However, no unifying framework currently exists for the marine science community to integrate sequencing data with physical, geological, and geochemical datasets. Planet Microbe is a web-based platform that enables data discovery from curated historical and ongoing oceanographic sequencing efforts. In Planet Microbe, each \u2018omics sample is linked with other biological and physiochemical measurements collected for the same water samples or during the same sample collection event, to provide a broader environmental context. This work highlights the need for curated aggregation efforts that can enable new insights into high-quality metagenomic datasets. Planet Microbe is freely accessible fromhttps:\/\/www. planetmicrobe.org\/. - , - Refereed - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1459", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1459", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1459", "url": "https:\/\/hdl.handle.net\/11329\/1459" }, "author": [ { "@type": "Person", "name": "Ponsero, Alise J." }, { "@type": "Person", "name": "Bomhoff, Matthew" }, { "@type": "Person", "name": "Blumberg, Kai" }, { "@type": "Person", "name": "Youens-Clark, Ken" }, { "@type": "Person", "name": "Herz, Nina M." }, { "@type": "Person", "name": "Wood-Charlson, Elisha M." }, { "@type": "Person", "name": "Delong, Edward F." }, { "@type": "Person", "name": "Hurwitz, Bonnie L." } ], "keywords": [ "Omics", "Metagenomics", "Microbiology", "Parameter Discipline::Biological oceanography::Bacteria and viruses", "Data Management Practices::Data aggregation", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1875", "name": "Optimising the operation and use of national research infrastructures.", "description": " - Research Infrastructures (RIs) play a key role in enabling and developing research in all scientific domains and represent an increasingly large share of research investment. Most RIs are funded, managed and operated at a national or federal level, and provide services mostly to national research communities. This policy report presents a generic framework for improving the use and operation of national RIs. It includes two guiding models, one for portfolio management and one for user-base optimisation. These guiding models lay out the key principles of an effective national RI portfolio management system and identify the factors that should be considered by RI managers with regards to optimising the user-base of national RIs. Both guiding models take into consideration the diversity of national systems and RI operation approaches. This report also contains a series of more generic policy recommendations and suggested actions for RI portfolio managers and RI managers. - , - Published - , - Refereed - , - Current - , - N\/A - , - Multi-organisational - , - International - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1875", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1875", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1875", "url": "https:\/\/hdl.handle.net\/11329\/1875" }, "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Research infrastructures", "Portfolio management", "User-base", "User access", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2580", "name": "ASC Abalone Standard Version 1.1.", "description": " - The Scope of the ASC Abalone Standard addresses the key negative environmenta and social impacts associated with the Abalone aquaculture industry. An ASC-certified farm contributes in reducing or eliminating these negative impacts. The ASC Abalone Standard applies globally to all locations and scales of abalone aquaculture production systems. Abalone aquaculture is defined as active husbandry at any stage from seed to harvest within a defined area and with defined ownership of the abalone being cultured. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2580", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2580", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2580", "url": "https:\/\/hdl.handle.net\/11329\/2580" }, "contributor": [ { "@type": "Organization", "name": "Aquaculture Stewardship Council" } ], "keywords": [ "Molluscs", "Abalone", "Farm certification", "Fisheries and aquaculture" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2044", "name": "10 Best Practices for Exploitation Strategy for Horizon 2020 Projects: How to turn your ideas into business.", "description": " - Be clear and focused: Your Plan for the Exploitation and Dissemination of Results (PEDR) includes different elements. Ensure that the differences between activities related to communication, dissemination and exploitation are clear. It could be helpful to draft separate documents on each and integrate them later. Think strategically: Focus on the exploitation part and determine your exploitation strategy. Think of it as a strategic tool for the success of your project. Have the right people around the table: do you involve end users and industrial partners in your project to have innovation which matches market needs? Have you appointed an exploitation leader? Do you have all you need to put an exploitation strategy in place and deploy it? - , - European Commission - , - Published - , - Current - , - Mature - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2044", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2044", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2044", "url": "https:\/\/hdl.handle.net\/11329\/2044" }, "contributor": [ { "@type": "Organization", "name": "European Commission" } ], "keywords": [ "Expoitation strategy", "H2020", "Project exploitation", "Exit strategy", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2239", "name": "Canadian Integrated Ocean Observing System: Investigative evaluations cyberinfrastructure.", "description": " - Numerous countries have employed a coordinated network of government agencies, research institutions, and private companies to establish national integrated Ocean Observing Systems (OOSes). Although Canada boasts a robust and diverse ocean economy, the country has implemented no such network To better adapt in the face of a changing environment and to assist the country in meeting national and international commitments, Fisheries and Oceans Canada (DFO) has commissioned investigative evaluations (IEs) to determine the cost and feasibility of creating a Canadian Integrated Ocean Observing System (CIOOS). This report contains the recommendations of the Cyberinfrastructure IE, and outlines three models, low, moderate and high, with varying levels of service. To determine an appropriate cyberinfrastructure configuration for CIOOS, information was gathered from both national and international sources. Systems and standards were evaluated, stakeholders surveyed, and existing international OOSes consulted to identify potential limits or gaps to the implementation of CIOOS. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2239", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2239", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2239", "url": "https:\/\/hdl.handle.net\/11329\/2239" }, "author": [ { "@type": "Person", "name": "Kelly, Richard" }, { "@type": "Person", "name": "Smit, Mike" }, { "@type": "Person", "name": "Fitzsimmons, Shayla" }, { "@type": "Person", "name": "Bruce, Scott" }, { "@type": "Person", "name": "Bulger, Craig" }, { "@type": "Person", "name": "Covey, Brad" }, { "@type": "Person", "name": "Davis, Richard" }, { "@type": "Person", "name": "Gosse, Ryan" }, { "@type": "Person", "name": "Owens, Dwight" }, { "@type": "Person", "name": "Pirenne, Benoit" } ], "contributor": [ { "@type": "Organization", "name": "Memorial University of Newfoundland, Fisheries and Marine Institute\/Dalhousie University" } ], "keywords": [ "Cyberinfrastructure", "Ocean observing systems", "Cross-discipline", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/627", "name": "An Algorithm for Classifying Unknown Expendable Bathythermograph (XBT) Instruments Based on Existing Metadata.", "description": " - Time-varying biases in expendable bathythermograph (XBT) instruments have emerged as a key un- certainty in estimates of historical ocean heat content variability and change. One of the challenges in the development of XBT bias corrections is the lack of metadata in ocean profile databases. Approximately 50% of XBT profiles in the World Ocean database (WOD) have no information about manufacturer or probe type. Building on previous research efforts, this paper presents a deterministic algorithm for assigning missing XBT manufacturer and probe type for individual temperature profiles based on 1) the reporting country, 2) the maximum reported depth, and 3) the record date. The criteria used are based on bulk analysis of known XBT profiles in the WOD for the period 1966\u20132015. A basic skill assessment demonstrates a 77% success rate at correctly assigning manufacturer and probe type for profiles where this information is available. The skill rate is lowest during the early 1990s, which is also a period when metadata information is particularly poor. The results suggest that substantive improvements could be made through further data analysis and that future algorithms may benefit from including a larger number of predictor variable. - , - Refereed - , - 14.A - , - Subsurface temperature - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/627", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/627", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/627", "url": "https:\/\/hdl.handle.net\/11329\/627" }, "author": [ { "@type": "Person", "name": "Palmer, Matthew D." }, { "@type": "Person", "name": "Boyer, Tim" }, { "@type": "Person", "name": "Cowley, Rebecca" }, { "@type": "Person", "name": "Kizu, Shoichi" }, { "@type": "Person", "name": "Reseghetti, Franco" }, { "@type": "Person", "name": "Suzuki, Toru" }, { "@type": "Person", "name": "Thresher, Ann" } ], "keywords": [ "XBT", "Expendable bathythermgraphs", "Heat content", "Climate records", "Ocean observations", "SCOR WG 148", "Scientific Committee on Oceanic Research Working Group 148", "Parameter Discipline::Physical oceanography::Water column temperature and salinity", "Instrument Type Vocabulary::bathythermographs", "Data Management Practices::Data archival\/stewardship\/curation", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/95", "name": "Guide to Drifting Data Buoys. [0BSOLETE]", "description": " - oceanographic data; oceanographic buoys; guides - , - The Guide to Drifting Data Buoys provides the meteorological and oceanographic communities of the world with up-to-date information regarding the hardware, operations and data telemetry, processing and dissemination of drifting buoys. The Guide assists countries which are not yet involved in the use of drifting buoys to collect ocean observations and which wonder whether this technology can meet their requirements. - , - http:\/\/unesdoc.unesco.org\/images\/0008\/000813\/081353eo.pdf - , - OBSOLETE - needs to be updated by DBCP - , - JCOMM via DBCP; OBSOLETE - needs to be updated by DBCP - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/95", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/95", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/95", "url": "https:\/\/hdl.handle.net\/11329\/95" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Drifting buoy" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/720", "name": "Biological effects of contaminants: Sediment bioassay using the polychaete Arenicola marina.", "description": " - The method described here is a whole-sediment reworker bioassay using the polychaete Arenicola marina, a direct deposit feeder that is widely distributed in European coastal waters and on the east coast of North America. This method has been tested nationally in the UK as well as in ring tests under the Paris Commission. It is suitable for carrying out bioassays on field-collected sediments and also for toxicity testing. Bioassay endpoints include both mortality and a non-lethal indication of effect (inhibition of casting). - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/720", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/720", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/720", "url": "https:\/\/hdl.handle.net\/11329\/720" }, "author": [ { "@type": "Person", "name": "Thain, J." }, { "@type": "Person", "name": "Bifield, S." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1474", "name": "Introduction to coastal HF maritime surveillance radars.", "description": " - This paper presents the main technical characteristics and working performances of coastal maritime surveillance radars, such as low-power High-Frequency Surface Wave Radars (HFSWR) and Over the Horizon Radars (OTHR). These radars have demonstrated to be a cost-effective long-range early-warning sensor for ship detection and tracking in coastal waters, sea channels and passages. In this work, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of oceanographic HFSWR stations installed in Jindalee Operational Radar Network (JORN), Wellen Radar (WERA) in Ligurian Sea (Mediterranean Sea), CODAR Ocean Sebsorsin and in the German Bight (North Sea). The coastal Imaging Sciences Research (ISR) HFSWR system, Multi-static ISR HF Radar, Ship Classification using Multi-Frequency HF Radar, Coastal HF radar surveillance of pirate boats and Different projects of coastal HF radars for vessels detecting are described. Ship reports from the Automatic Identification System (AIS), recorded from both coastal and satellite Land Earth Stations (LES) are exploited as ground truth information and a methodology is applied to classify the fused tracks and to estimate system performances. Experimental results for all above solutions are presented and discussed, together with an outline for future integration and infrastructures. - , - Refereed - , - 14 - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1474", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1474", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1474", "url": "https:\/\/hdl.handle.net\/11329\/1474" }, "author": [ { "@type": "Person", "name": "Ilcev, Dimov Stojce" } ], "keywords": [ "HF Radar", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/984", "name": "Setting up and assessing a trace element sampling system \u2013 lessons learned.", "description": " - Based on 11 years of experience, Greg Cutter, GEOTRACES Standards and Intercalibration past co-chair, has summarised the recommendations that nations developing a trace metal-clean sample system need to consider for successful sampling. - , - Published - , - Current - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/984", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/984", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/984", "url": "https:\/\/hdl.handle.net\/11329\/984" }, "author": [ { "@type": "Person", "name": "Cutter, Greg" } ], "contributor": [ { "@type": "Organization", "name": "Old Dominion University for GEOTRACES" } ], "keywords": [ "Trace elements", "Sensors", "GEOTRACES", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2492", "name": "ISO 11352:2012. Water quality \u2014 Estimation of measurement uncertainty based on validation and quality control data. Edition 1. [Corrected 2021]", "description": " - This International Standard specifies methods for the estimation of measurement uncertainty of chemical and physicochemical methods in single laboratories based on validation data and analytical quality control results obtained within the field of water analysis. NOTE 1 The principles of the estimation of uncertainty specified in this International Standard are consistent with the principles described in ISO\/IEC Guide 98-3. In this International Standard, the quantification of measurement uncertainty relies on performance characteristics of a measurement procedure obtained from validation and the results of internal and external quality control. NOTE 2 The approaches specified in this International Standard are mainly based on QUAM[11], NEN 7779[8], Nordtest TR 537[10], and Eurolab TR 1[9]. NOTE 3 This International Standard only addresses the evaluation of measurement uncertainty for results obtained from quantitative measurement procedures. The uncertainties associated with results obtained from qualitative procedures are not considered. - , - Published - , - Refereed - , - Current - , - 14.A - , - Sea surface temperature - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Guidelines & Policies - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2492", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2492", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2492", "url": "https:\/\/hdl.handle.net\/11329\/2492" }, "contributor": [ { "@type": "Organization", "name": "International Organization for Standardization (ISO)" } ], "keywords": [ "Uncertainty", "Measurement", "Chemical measurements", "ISO Standard", "Chemical oceanography", "Data processing", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1713", "name": "Coral reef restoration monitoring guide: Methods to evaluate restoration success from local to ecosystem scales.", "description": " - As coral restoration efforts continue to increase in size and number, there is an overwhelming need to define restoration success and determine progress towards successful restoration. Meaningful, consistent, comparable, and quantitative data is required to quantify the changes that result from restoration actions. However, there may be many definitions of success depending on the program or project goal(s). Restorations can have one or many goals that can be very different (e.g., ecological, educational), and therefore, goals cannot be addressed in a \u201cone size fits all\u201d monitoring approach. The application of quantitative approaches to monitoring not only provides a reliable way to evaluate progress towards restoration success, but also provides means to identify problems and apply adaptive management efforts as needed. The CRC established a priority for the Restoration Monitoring Working Group to develop guidance for monitoring coral reef restorations and to determine restoration success. This \u201cCoral Reef Restoration Monitoring Guide: Best Practices for Monitoring Coral Restorations from Local to Ecosystem Scales\u201d was developed for practitioners and programs in any stage of their practice: from starting up a new restoration effort, to scaling up current efforts, to improving efficiency. Coral restoration practitioners can use the hypotheses- and datadriven monitoring framework presented in this Guide to make confident comparisons between projects, programs, and regions, increase the efficiency of data collection, and make informed decisions about the data necessary to describe the success of the restoration goal or objective. Two categories of coral restoration monitoring metrics are included in this Guide: Universal Metrics and Goal-Based Performance Metrics. The four Universal Metrics, Landscape\/ Reef-level, Population-level, Colony-level, and Genetic and Genotypic Diversity, are suggested as basic requirements for monitoring all restoration projects, regardless of the goal of the project. These metrics provide data on restoration scale, growth, survival, and diversity, yet require minimal equipment and time. These Universal Metrics should be monitored on any restoration project regardless of the restoration scale, species, habitat, location, expertise, or budget. Goal-Based Performance Metrics address five major coral restoration goals: Ecological Restoration, Socioeconomic, Eventdriven Restoration, Climate Change Adaptation, and Research. Metrics are tailored within each goal to address key components of the goal. For example, when monitoring a restoration with an ecological goal, a practitioner should evaluate coral condition, species diversity, habitat quality, and vertebrate and invertebrate communities, and potentially others. Metrics are detailed for each goal including key points, suggested methods, reporting guidelines, and criteria to evaluate the performance towards the restoration goal and towards restoration success. Coral reef restoration, while a quickly growing field, is still relatively new. This document is the first to provide comprehensive guidance for monitoring coral restorations to evaluate progress towards meeting restoration goals. Metrics and associated methods developed herein are based on our experiences, working group and workshop input, practitioner interviews, and current published peer reviewed literature and manuals. While every effort was made to address every situation, we recognize that as this field develops and the metrics are ful ly vetted, some metrics may need to be improved, modified, or deemed unnecessary. We therefore encourage the evolution of this Guide as a living document to be updated when necessary to be relevant and representative. Our experiences and the examples provided are mainly from the greater Caribbean region; however, reviews and feedback from practitioners who have worked globally indicate that the metrics developed are applicable on coral restorations in all regions. This Guide should be used to measure and describe the progress of coral restoration projects towards meeting restoration goals. The CRC Monitoring Working Group has also developed a Coral Restoration Database and Evaluation Tool to be complementary to this Guide and used together. The Coral Restoration Database allows the input of comparable restoration projects and monitoring data. The Coral Restoration Evaluation Tool allows the practitioner to score the performance of their project, program, or region and determine what is working well and what needs improvement. The use of this Guide and feedback provided by practitioners will improve the evaluation of coral restoration success. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Hard coral cover and composition - , - Multi-organisational - , - Method - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1713", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1713", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1713", "url": "https:\/\/hdl.handle.net\/11329\/1713" }, "author": [ { "@type": "Person", "name": "Goergen, E.A." }, { "@type": "Person", "name": "Schopmeyer, S." }, { "@type": "Person", "name": "Moulding, A.L." }, { "@type": "Person", "name": "Moura, A." }, { "@type": "Person", "name": "Kramer, P." }, { "@type": "Person", "name": "Viehman, T.S." } ], "contributor": [ { "@type": "Organization", "name": "NOAA NOS NCCOS" } ], "keywords": [ "Coral restoration", "Monitoring", "Metrics", "Other biological measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/196", "name": "Guide for responsible national oceanographic data centres - Annex II.", "description": " - The past two decades have seen a remarkable expansion in scientific investigations of the world's oceans, both on a national and international co-operative basis. The results of these investigations take many forms with data possibly being the first important measure of their success. Along with the growth of oceanographic programmes, a well-functioning net- work for the exchange of oceanographic data has been established under the guidance of the International Council of Scientific Unions (ICSU) and the Intergovernmental Oceanographic Commission (IOC). This network, comprised of world and national data centres, is a remarkable example of a system for supporting international co-operation in the marine sciences. The network is.supported entirely by data services in Member States and, through their concerted efforts, it has been possible to serve users in all countries with centrally archived data and computerized data banks, - , - Published - , - Oceanographic data centre, RNODCs, IODE, Development, fonction - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/196", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/196", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/196", "url": "https:\/\/hdl.handle.net\/11329\/196" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Oceanography", "Oceanographic data", "Oceanographic institutions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/457", "name": "Marine Sampling Field Manual for Benthic Stereo BRUVS (Baited Remote Underwater Videos) [Version 1]. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-918]", "description": " - This benthic stereo-BRUVs Field Manual includes gear designed to acquire imagery of demersal fish assemblages and their habitat within the field of view. A separate manual will address sampling pelagic fish assemblages using BRUVs (Chapter 6). This field manual covers everything required from equipment, pre-survey preparation, field procedures, post-survey procedures and data management for using benthic BRUVs to sample and monitor fish assemblages. The aim is to develop a consistent approach to using this field equipment and allow statistically sound comparisons between studies. Stereo-BRUVs are recommended, over mono-BRUVs, when monitoring demersal fish assemblages. Stereo-BRUVs consist of two cameras strategically and accurately placed on a frame that enable lengths and distance measurements to be made through the use of specialised software. These data are crucial to help monitor changes in fish assemblages over time. Therefore, the following standard operating procedures are written based on the use of stereo video. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.a - , - Fish abundance and distribution - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/457", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/457", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/457", "url": "https:\/\/hdl.handle.net\/11329\/457" }, "author": [ { "@type": "Person", "name": "Langlois, T" }, { "@type": "Person", "name": "Williams, J" }, { "@type": "Person", "name": "Monk, J" }, { "@type": "Person", "name": "Bouchet, P" }, { "@type": "Person", "name": "Currey, L" }, { "@type": "Person", "name": "Goetze, J" }, { "@type": "Person", "name": "Harasti, D" }, { "@type": "Person", "name": "Huveneers, C" }, { "@type": "Person", "name": "lerodiaconou, D" }, { "@type": "Person", "name": "Malcolm, H" }, { "@type": "Person", "name": "Whitmarsh, S" } ], "contributor": [ { "@type": "Organization", "name": "NESP Marine Biodiversity Hub" } ], "keywords": [ "BRUVS (Baited Remote Underwater Videos)", "Demersal fish", "Fish survey", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Biota composition", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::underwater cameras", "Data Management Practices::Data management planning and strategy development", "Data Management Practices::Data processing", "Data Management Practices::Data quality control", "Data Management Practices::Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2144", "name": "Evaluation of Ocean Color Remote Sensing Algorithms for Diffuse Attenuation Coefficients and Optical Depths with Data Collected on BGC-Argo Floats.", "description": " - The vertical distribution of irradiance in the ocean is a key input to quantify processes spanning from radiative warming, photosynthesis to photo-oxidation. Here we use a novel dataset of thousands local-noon downwelling irradiance at 490 nm (Ed(490)) and photosynthetically available radiation (PAR) profiles captured by 103 BGC-Argo floats spanning three years (from October 2012 to January 2016) in the world\u2019s ocean, to evaluate several published algorithms and satellite products related to di use attenuation coe cient (Kd). Our results show: (1) MODIS-Aqua Kd(490) products derived from a blue-to-green algorithm and two semi-analytical algorithms show good consistency with the float-observed values, but the Chla-based one has overestimation in oligotrophic waters; (2) The Kd(PAR) model based on the Inherent Optical Properties (IOPs) performs well not only at sea-surface but also at depth, except for the oligotrophic waters where Kd(PAR) is underestimated below two penetration depth (2zpd), due to the model\u2019s assumption of a homogeneous distribution of IOPs in the water column which is not true in most oligotrophic waters with deep chlorophyll-a maxima; (3) In addition, published algorithms for the 1% euphotic-layer depth and the depth of 0.415 mol photons m-2 d-1 isolume are evaluated. Algorithms based on Chla generally work well while IOPs-based ones exhibit an overestimation issue in stratified and oligotrophic waters, due to the underestimation of Kd(PAR) at depth. - , - Refereed - , - 14.a - , - Pilot or Demonstrated - , - Validated (tested by third parties) - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2144", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2144", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2144", "url": "https:\/\/hdl.handle.net\/11329\/2144" }, "author": [ { "@type": "Person", "name": "Xing, Xiaogang" }, { "@type": "Person", "name": "Boss, Emmanuel" }, { "@type": "Person", "name": "Zhang, Jie" }, { "@type": "Person", "name": "Chai, Fei" } ], "keywords": [ "Diffuse attenuation coefficient", "Satellite product assessment", "Euphotic layer depth", "Isolume depth", "Optical properties", "Other physical oceanographic measurements", "Data analysis" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2025", "name": "Guidelines for the monitoring of mobile and sessile epifauna.", "description": " - The Joint Harmonized Procedure by HELCOM and OSPAR (HELCOM & OSPAR, 2013) has been used to monitor mobile and sessile epifauna among other taxa, but only in port areas, and further observations on the presence of these species have been barely a side-product of other national monitoring programs and research projects. There have not been general guidelines for the monitoring of mobile and sessile epifauna in natural coastal habitats for the Baltic Sea thus far. Habitat collectors and fouling plates have been utilized in many coastal NIS sampling projects (Roche et al. 2009, Fowler et al. 2013; Brzana et al., 2019; Outinen et al., 2019). They provide a standardized and easily repeatable sampling method for crabs, fishes, mollusks and macroinvertebrates with manageable workload. Habitat collectors contain artificial habitat structures that provide refuges for these organisms instead of capturing them. Additionally, sampling of sessile species can be enhanced with PVC fouling plates that provide attachment surfaces for these organisms. These guidelines aim to cover the monitoring of mobile and sessile epifauna in natural coastal habitats. The obtained data provides input for the assessment of the HELCOM core indicator \u2018Trends in arrival of non-indigenous species\u2019, which compares the diversity of NIS at pre-selected temporal intervals to a baseline and evaluates the present status relative to previous temporal periods. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2025", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2025", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2025", "url": "https:\/\/hdl.handle.net\/11329\/2025" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Epifauna", "Rock and sediment biota" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/654", "name": "EGO gliders NetCDF format reference manual: NetCDF conventions Reference tables and files distribution. Version 1.2. [SUPERSEDED by DOI: http:\/\/dx.doi.org\/10.25607\/OBP-768]", "description": " - This document specifies the NetCDF file format of EGO-gliders that is used to distribute glider data, metadata and technical data. It documents the standards used therein; this includes naming conventions as well as metadata content. It was initiated in October 2012, based on OceanSITES, Argo and ANFOG user's manuals. Everyone\u2019s Gliding Observatories - EGO is dedicated to the promotion of the glider technology and its applications. The EGO group promotes glider applications through coordination, training, liaison between providers and users, advocacy, and provision of expert advice. We intend to favor oceanographic experiments and the operational monitoring of the oceans with gliders through scientific and international collaboration. We provide news, support, information about glider projects and glider data management, as well as resources related to gliders. All EGO data are publicly available. More information about the project is available at: http:\/\/www.ego-network.org - , - Published - , - Contributors: Carval Thierry, Gourcuff Claire, Rannou Jean-Philippe, Buck Justin J.H., Garau Bartolome - , - Refereed - , - Superseded - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/654", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/654", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/654", "url": "https:\/\/hdl.handle.net\/11329\/654" }, "contributor": [ { "@type": "Organization", "name": "IFREMER" } ], "keywords": [ "Everyone\u2019s Gliding Observatories", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data format development", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/622", "name": "Acoustic target classification.", "description": " - Data are collected from a variety of acoustic systems in many countries to address a range of ecosystem monitoring and stock management objectives. A key step in the analysis of fisheries acoustics data is target classification, i.e. categorizing the backscatter data, ultimately by target species, so that it can be converted into estimates of abundance or biomass. The information needed to classify acoustic targets may be contained within the acoustic measurements, particularly if they are made over a range of frequencies. The SIMFAMI project, financed by the European Union, presented some multifrequency methods for species identification (Fernandes et al., 2006). Readers should also note that there are two other ICES reports on related topics: CRR No. 238 Report on Echo Trace Classification (Reid, 2000) and Acoustic seabed classification of marine physical and biological landscapes (ICES, 2007). However, as these reports were written when multifrequency and wideband methods were less mature, they mostly focus on single-frequency methods. Acoustic classification of biological targets is a fast-moving field. While most of the theoretical principles in the earlier reports are still relevant, there is a need to evaluate recent developments, expand their applications to contemporary technologies, and recommend target-classification protocols for use in fisheries research and ecos ystem surveys. Several ICES Member Countries and observer countries have identified these needs and conveyed them to ICES Working Group on Fisheries Acoustics, Science, and Technology (WGFAST) and Science Committee (SCICOM). This is the first ICES CRR to detail the latest multifrequency and wideband methods for acoustic target classification. - , - Refereed - , - 14.A - , - 14.4 - , - Fish abundance and distribution - , - Ocean sound - , - Manual - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/622", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/622", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/622", "url": "https:\/\/hdl.handle.net\/11329\/622" }, "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ], "keywords": [ "Fisheries acoustics", "Acoustic backscatter", "Stock management", "Ecosystem management", "Parameter Discipline::Biological oceanography::Fish", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Instrument Type Vocabulary::acoustic backscatter sensors", "Instrument Type Vocabulary::acoustic tracking systems", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2062", "name": "Earthquake Scenario Selection for Tsunami Inundation Hazard Assessment: Guidelines on using the 2018 Probabilistic Tsunami Hazard Assessment in the Pacific", "description": " - Tsunamis can be a dangerous and destructive natural hazard. Pacific nations are particularly exposed and tsunami risk is a serious concern. Tsunami and disaster risk reduction is recognised as a cornerstone of sustainable development by the Australian Department of Foreign Affairs and Trade (DFAT) who co-funded this work with the World Bank. This document provides guidance on how to assess earthquake-generated tsunami inundation hazards for Pacific Island nations. The methods described leverage the 2018 Probabilistic Tsunami Hazard Assessment (PTHA18) developed by Geoscience Australia. The PTHA18 provides a global database of modelled earthquake-tsunami scenarios and frequencies that is shared under a Creative Commons License for the benefit of the global community. When used with tsunami inundation models, the PTHA18 can be used to assess the inundation hazard. The PTHA18 and these guidelines only consider tsunamis generated by undersea earthquakes, which cause the majority of tsunamis worldwide. Other geophysical processes such as landslides and volcanoes can also generate hazardous tsunamis, but require quite different modelling techniques beyond the scope of this work. The intended audience for these guidelines includes scientists, academic institutions, and technical specialists responsible for assessing the tsunami hazard in the Pacific. Concepts are explained within the text and additional detail is provided in both the appendices and through links to online tutorials. We also encourage familiarisation with the relevant research. Two methods are presented to assess the tsunami inundation hazard for a given location: 1. Scenario-based: This is a very flexible method that involves the selection of a subset of tsunami scenarios from the PTHA18. A variety of criteria can be used to guide the scenario selection, including the tsunami frequency estimates in the PTHA18. This method is less computationally intensive than the Monte Carlo sampling method. 2. Monte Carlo sampling: This method allows for rigorous translation of the tsunami frequencies and uncertainties in the PTHA18 to the onshore site of interest. It is less subjective than the scenario-based approach, and can give a more comprehensive representation of the hazard uncertainties implied by PTHA18. This method requires the modelling of hundreds of scenarios and can be very computationally demanding. Both of these methods are widely applicable to the Pacific region, and case studies of tsunami hazard assessments from Pacific Island nations are included. We acknowledge that research into other methodologies is ongoing (e.g. Chock, 2016) and we expect the standards of best practice to evolve with advances in technology and science. We further encourage the open licensing of datasets used to support collective efforts towards community safety in the region. - , - Australian Government (via the Australia Pacific Climate Partnership, APCP) World Bank (via the Pacific Catastrophe Risk Assessment and Financing Initiative, PCRAFI II) - , - Published - , - Reviewers: Jerome Aucan, Jose Borrero, Cyprien Bosserelle, Phil Cummins, Jonathan Griffin, Celina Smith, Shaun Williams - , - Refereed - , - Current - , - 11 - , - 14.a - , - Pilot or Demonstrated - , - Multi-organisational - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2062", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2062", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2062", "url": "https:\/\/hdl.handle.net\/11329\/2062" }, "author": [ { "@type": "Person", "name": "Giblin, Judith" }, { "@type": "Person", "name": "Damlamian, Herve" }, { "@type": "Person", "name": "Davies, Gareth" }, { "@type": "Person", "name": "Weber, Rikki" }, { "@type": "Person", "name": "Wilson, Kaya" } ], "contributor": [ { "@type": "Organization", "name": "The Pacific Community and Geoscience Australia" } ], "keywords": [ "Tsunami", "Earthquake", "Probabilistic Tsunami Hazard Assessment (PTHA)", "Monte Carlo sampling", "Inundation", "Hazards", "Hydrographic modellling", "Waves" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/900", "name": "CDB Multi-Spectral Imagery Extension. Version 1.0.", "description": " - The \"Multi-Spectral Imagery\" extension defines how to encode and store reflected electromagnetic radiation from the infrared wavelengths into a CDB. The portion of the spectrum targeted is between the visible spectrum (current imagery and texture in CDB), and longer wavelength infrared that is primarily emissive and can be simulated based on the material temperature. - , - Published - , - Refereed - , - Current - , - Mature: Methodologies are well demonstrated for a given objective, documented and peer reviewed; methods are commonly used by more than one organization (TRL 7-9) - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/900", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/900", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/900", "url": "https:\/\/hdl.handle.net\/11329\/900" }, "contributor": [ { "@type": "Organization", "name": "Open Geospatial Consortium" } ], "keywords": [ "Standard", "Data Management Practices::Data format development" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/708", "name": "Cadmium in marine sediments: Determination by graphite furnace atomic absorption spectroscopy.", "description": " - Cadmium is one of the most important toxic elements to be determined in environmental samples. Cd has proved, however, to be a difficult element to determine with good precision and relative accuracy. This is shown by the results of recent intercalibration exercises. (a) In the Baltic Sediment Intercalibration Exercise, Brtigmann and Niemisto (1987) found deviations in reported Cd results unacceptable. Relative standard deviations (rsd's) were 48 % and 63 % for for the two intercalibration samples. (b) In the National Research Council of Canada (NRCC) intercalibration (NRC MS1\/TM), Berman and Boyko (1985) found that less than one-third of the 35 laboratories submitting Cd values appeared competent in handling samples at the 0.6 mg\/kg level. (c) In the ICES First Intercalibration Exercise on the Trace Metals in Marine Sediments (1\/TM\/MS) report, Loring (1987) found that participating laboratories had difficulty with Cd determinations. Rsd's were 42 %, 39 %, and 53 % for the three intercalibration samples. It is suggested that the poor results are mostly due to the instrumental methods (Jensen, 1987) and inadequate use of reference materials to ensure good relative accuracy of the results. This paper discusses the various parameters that affect the precision and relative accuracy of Cd determinations and describes a simple, straightforward method based on the teflon bomb decomposition of the sample with HF-aqua regia followed by a graphite furnace atomic absorption determination of Cd using an uncoated L'vov platform. The relative accuracy and precision of the method has been confirmed and found to be good by analyses of reference materials and through participation in intercalibration exercises - , - Published - , - Refereed - , - Current - , - 14.1 - , - Standard Operating Procedure - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/708", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/708", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/708", "url": "https:\/\/hdl.handle.net\/11329\/708" }, "author": [ { "@type": "Person", "name": "Rantala, R. T. T." }, { "@type": "Person", "name": "Loring, D. H." } ], "contributor": [ { "@type": "Organization", "name": "International Council for the Exploration of the Sea (ICES)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1888", "name": "Decision Making and Coastal Risks: A Good Practice Guide.", "description": " - The objective of this handbook is to provide a Good Practice Guide to facilitate the inclusion of coastal risk into decisions made in the coastal zone. This handbook is aimed at those involved in coastal planning and decision making. It is designed to be used with the information available from the ANCORIM project on coastal risks. The handbook is also designed to be accessible to a wider audience who wish to improve their knowledge of coastal risks and how they relate to decision making in the coastal zone. The handbook outlines the key coastal risks identified in the western coastal regions of Europe. It outlines the existing governance at international and national level and identifies regional models and best practice within and adjacent to the ANCORIM project members. The handbook also identifies where coastal risk can be included within decision making, the obligations of coastal decision makers and the applicability of the handbook\u2019s information to the day-to-day practices and requirements of coastal decision makers and planners. - , - European Union; INTERREG - , - Published - , - Current - , - 14.2 - , - N\/A - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1888", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1888", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1888", "url": "https:\/\/hdl.handle.net\/11329\/1888" }, "contributor": [ { "@type": "Organization", "name": "Atlantic Network for Coastal Risks Management" } ], "keywords": [ "ANCORIM", "Coastal risk", "Coastal zone planning", "Coastal erosion", "Coastal zone management", "INTERREG", "Environment" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1980", "name": "Best Practices in Citizen Science for Environmental Monitoring: Commission Staff Working Document.", "description": " - The volume of environmental knowledge generated by citizen science initiatives across the EU offers a unique opportunity to help deliver on the European Green Deal and other EU (and global) priorities, and to involve the public in EU policy-making. This document summarises the opportunities for and benefits of using citizen science for environmental monitoring, highlights good practices and lessons learnt, and identifies the obstacles holding back its broader uptake. On that basis, it puts forward recommendations and possible actions to facilitate and enhance the use of citizen science in environmental monitoring. - , - European Commission - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Specification of criteria - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1980", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1980", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1980", "url": "https:\/\/hdl.handle.net\/11329\/1980" }, "author": [ { "@type": "Person", "name": "De Rijck, Kim" }, { "@type": "Person", "name": "Schade, Sven" }, { "@type": "Person", "name": "Rubio, Jose-Miguel" }, { "@type": "Person", "name": "Van Meerloo, Marjan" } ], "contributor": [ { "@type": "Organization", "name": "European Commission" } ], "keywords": [ "Citizen Science", "Cross-discipline", "Data acquisition", "Data analysis", "Data quality control" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/206", "name": "Manual on sea level measurement and interpretation.Volume I - Basic procedures.", "description": " - The IOC Assembly at its thirteenth Session by Resolution XIII-7 adopted the proposal for the Global Network of Sea-Level Stations prepared with the assistance of Dr. D. Pugh (U.K.) and Prof. K. Wyrtki, as a basis for an extension under the auspices of IOC of the existing sea-level network (included in the Annex to the Summary Report of the Thirteenth Session of the IOC Assembly). By this resolution Member States were urged to participate in the implementation of the Global Sea-Level Observing System which is required by the oceanographic community for research, in particular, in support of oceanographic experiments and programmes under the World Climate Research Programme, as well as for national practical applications. Similar to other international programmes, this project requires actions on both national and international levels. Preparation of the Manual on Sea-Level Measurement and Interpretation is considered as an important step towards unifying procedures for sea-level measurements and analysis and assisting those Member States who wish to install or reactivate their sea- level stations. This manual has been prepared by the staff of the United Kingdom Institute of Oceanographic Sciences associated with summer courses on sea-level observation and data reduction which have been held under the auspices of the Intergovernmental Oceanographic Commission. Although based on U.K. experience, this extends to analyses of records from many types of gauges and many coastal locations around the world. However, in other countries, slightly different procedures may be more appropriate. It is hoped that the material presented here will help countries which are planning national sea-level networks in response to recognised practical and scientific demands, in the spirit of the Resolution XIII-7 of the IOC Assembly of March 1985, which encouraged Member States to develop such networks. - , - Published - , - Document available in English. - , - Non-Refereed - , - Sea surface height - , - Mature - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/206", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/206", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/206", "url": "https:\/\/hdl.handle.net\/11329\/206" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Sea level", "Measurement" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/436", "name": "Best Practice Framework and Principles for Monitoring the Effect of Coastal Development on Marine Mammals.", "description": " - As the world\u2019s human population increases along the coastal zone, with major alteration of coastal embayments, increased on-water activities and a plethora of other intrusions into the coastal zone, there is a simultaneous increase in pressures on marine mammals. Growing evidence indicates that many marine mammals are highly susceptible to declines resulting from direct and indirect impacts arising from diverse human activities. Too frequently, assessment of the impact from coastal developments on marine mammals has been inadequate or completely lacking. At worst this has led to catastrophic decline in some populations. Without rigorous ecological assessments along with adaptive management frameworks prior to the initiation of developments, the number of marine mammal populations likely to be adversely impacted will continue to rise. To address these shortcomings, we present a globally applicable best practice framework by; (i) describing guiding principles and; (ii) reviewing appropriate procedures for assessment and monitoring of impacts of coastal developments on marine mammals. The approach outlined is embedded in Environmental Impact Assessment processes as a means by which decision makers and stakeholders can be informed. Recommendations presented are designed to encourage the application of robust scientific evaluation that applies appropriate survey design with sufficient statistical power to detect changes before trigger thresholds are reached. We emphasize that there is an urgent need to ensure assessments are comprehensive, effective and integrated with monitoring and adaptive management actions in order to minimize or effectively mitigate the impacts of human activities on marine mammal populations. - , - Refereed - , - 14.2 - , - Marine turtles, birds, mammals abundance and distribution - , - Best Practice - , - Guide - , - 2016-10-28 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/436", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/436", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/436", "url": "https:\/\/hdl.handle.net\/11329\/436" }, "author": [ { "@type": "Person", "name": "Hawkins, Elizabeth R." }, { "@type": "Person", "name": "Harcourt, Robert" }, { "@type": "Person", "name": "Bejder, Lars" }, { "@type": "Person", "name": "Brooks, Lyndon O." }, { "@type": "Person", "name": "Grech, Alana" }, { "@type": "Person", "name": "Christiansen, Fredrik" }, { "@type": "Person", "name": "Marsh, Helene" }, { "@type": "Person", "name": "Harrison, Peter L." } ], "keywords": [ "Environmental impact assessment", "Monitoring", "Marine mammals", "Mitigation", "Cumulative impacts", "Short term impacts", "Long term impacts", "Parameter Discipline::Biological oceanography::Birds, mammals and reptiles" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1519", "name": "Manual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos N\u00famero 5 \/ 2020.", "description": " - In the fifth year of operation and the 2015-2020 Work Plan completed, the National Oceanic Data and Information Coordination Committee (Spanish: Comit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n de Datos e Informaci\u00f3n Oce\u00e1nica, CTN Diocean) of the Colombian Ocean Commission (CCO), reliese its digital publication \"Reference Manual on Ocean Best Data Management Practices\" number 5 of 2020, in its commitment to provide information to the community about experiences in the implementation of good and best practices by producers, users, administrators and managers of the ocean data in the national level, in different disciplines such as oceanography, marine meteorology, biodiversity, protected areas, marine environment, etc. This title presents an inventory of colombian coastal-marine indicator; analysis of a national survey on ocean data and information access carried out in 2019; the activities development by the Committee in the last five years, and finally, a contribution from the Colombian Geological Service (SGC) with a review of geographic information standards implemented in the country since 2003, through Committee 028 of the Colombian Institute of Technical Standards and Certification (Spanish: Instituto Colombiano de Normas T\u00e9cnicas y Certificaci\u00f3n, ICONTEC) - , - Published - , - En su quinto a\u00f1o de operaci\u00f3n y finalizaci\u00f3n de su Plan de Trabajo 2015-2020, el Comit\u00e9 T\u00e9cnico Nacional de Coordinaci\u00f3n de Datos e Informaci\u00f3n Oce\u00e1nica (CTN Diocean) de la Comisi\u00f3n Colombiana del Oc\u00e9ano (CCO), entrega su publicaci\u00f3n digital \u201cManual de Referencia en Mejores Pr\u00e1cticas de Gesti\u00f3n de Datos Oce\u00e1nicos\u201d n\u00famero 5 de 2020, en su compromiso por brindar informaci\u00f3n a la comunidad acerca de las experiencias en la implementaci\u00f3n de buenas y mejores pr\u00e1cticas por parte de productores, usuarios, administradores y gestores de los datos del oc\u00e9ano que genera el pa\u00eds, en diferentes disciplinas tales como oceanograf\u00eda, meteorolog\u00eda marina, biodiversidad, \u00e1reas protegidas, medio ambiente marino, etc. El presente t\u00edtulo no aborda una tem\u00e1tica espec\u00edfica tal como lo hacen los n\u00fameros anteriores del manual; re\u00fane gestiones que el CTN Diocean ven\u00eda desarrollando en los \u00faltimos a\u00f1os enmarcadas en su plan de trabajo, tales como el inventario de indicadores marino-costeros de Colombia, el an\u00e1lisis de la encuesta nacional sobre vac\u00edos de informaci\u00f3n y acceso a datos oce\u00e1nicos adelantada en 2019, el balance del comit\u00e9 del \u00faltimo quinquenio, y finalmente una contribuci\u00f3n del Servicio Geol\u00f3gico Colombiano (SGC) con una rese\u00f1a de los est\u00e1ndares de informaci\u00f3n geogr\u00e1fica que ha implementado en el pa\u00eds desde el 2003 a trav\u00e9s del Comit\u00e9 028 que hace parte del Instituto Colombiano de Normas T\u00e9cnicas y Certificaci\u00f3n (ICONTEC). - , - Current - , - 13 - , - 14 - , - 15 - , - Hard Coral cover and composition - , - Mangrove Cover and Composition - , - Marine turtles, birds, mammals abundance and distribution - , - Phytoplankton biomass and diversity - , - Zooplankton Biomass and Diversity - , - Seagrass Cover and composition - , - TRL 1 Basic principles observed and reported - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1519", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1519", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1519", "url": "https:\/\/hdl.handle.net\/11329\/1519" }, "author": [ { "@type": "Person", "name": "Garc\u00eda Valencia, Carolina" }, { "@type": "Person", "name": "Maldonado Morales, Luisa Fernanda" }, { "@type": "Person", "name": "Pyszczek, Oscar Luis" }, { "@type": "Person", "name": "Bernal Su\u00e1rez, N\u00e9stor Ricardo" }, { "@type": "Person", "name": "Rivera De la Torre, Christian Jes\u00fas" }, { "@type": "Person", "name": "Ortiz Mart\u00ednez, Ruby Viviana" }, { "@type": "Person", "name": "Garz\u00f3n Barrios, Jaime Alberto" } ], "contributor": [ { "@type": "Organization", "name": "Ed. Dimar" } ], "keywords": [ "Parameter Discipline::Marine geology", "Parameter Discipline::Atmosphere", "Parameter Discipline::Cross-discipline", "Parameter Discipline::Biological oceanography", "Parameter Discipline::Terrestrial", "Data Management Practices::Data search and retrieval", "Data Management Practices::Data compression" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1561", "name": "Blueprint for improved measurement of the international ocean economy: an exploration of satellite accounting for ocean economic activity", "description": " - Sustainably managing the ocean requires reliable measures of the ocean\u2019s contributions to society and the effects that human activities have on the marine environment. This paper informs current international discussions on the measurement of ocean economic activities. It summarises the extent to which the ocean is crucial to society, outlines national approaches to measuring ocean economies, establishes an OECD definition of ocean economic activities for statistical purposes, and introduces a plan to improve international ocean economy statistics through the pragmatic development of satellite accounts. By measuring the full range of ocean economic activities, this framework will improve evidence on ocean sustainability and lay the foundations for ocean accounts that include economic-environmental linkages. - , - Published - , - Refereed - , - Current - , - 14.A - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1561", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1561", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1561", "url": "https:\/\/hdl.handle.net\/11329\/1561" }, "author": [ { "@type": "Person", "name": "Jolliffe, James" }, { "@type": "Person", "name": "Jolly, Claire" }, { "@type": "Person", "name": "Stevens, Barrie" } ], "contributor": [ { "@type": "Organization", "name": "OECD" } ], "keywords": [ "Satellite accounting", "Ocean economy", "Economic data", "Parameter Discipline::Cross-discipline" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1198", "name": "Manual Recovery of a Sea Ice Based Ocean Profiler.", "description": " - Ice-tethered ocean profiling systems are an essential tool for the year-round observation of physical and biogeochemical properties of the Arctic Ocean. Despite being considered expendable equipment due to the challenging logistics, their recovery is attractive mainly due to two factors: If the sensors can be retrieved, this allows for their post calibration, which helps to assess sensor drift and biofouling. In addition, the recovery of such expensive equipment can ease off financial pressure on autonomous ocean observation programs by enabling the reuse of central elements after refurbishment. Here we present a method how such profiling systems can be recovered from sea ice by 3 people in about 4 h, without the on-site availability of a fully-equipped vessel. The presented technique combines rope techniques frommountain rescue applicationswith lightweight equipment and procedures similar to those used for the deployment of such instruments. We provide a detailed description of the whole process, provide suggestions for potential improvements as well as suggestions toward improved instrument design favoring recoverability of future deployments. We conclude that good preparation and practice of the relevant rope procedures is critical to mission success and that a well-selected range of necessary equipment makes the process much more efficient. - , - Refereed - , - 14 - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Manual (incl. handbook, guide, cookbook etc) - , - 2019-07-04 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1198", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1198", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1198", "url": "https:\/\/hdl.handle.net\/11329\/1198" }, "author": [ { "@type": "Person", "name": "Katlein, Christian" }, { "@type": "Person", "name": "Labaste, Matthieu" }, { "@type": "Person", "name": "Hoppmann, Mario" } ], "keywords": [ "Sea ice", "Field Techniques", "Fieldwork", "Ice-tethered ocean profiler", "Parameter Discipline::Physical oceanography::Other physical oceanographic measurements" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1357", "name": "Sargassum and Oil Spills Monitoring Pilot Project for the Caribbean and Adjacent Regions Workshop, M\u00e9xico D.F., M\u00e9xico 2 \u2013 4 May, 2018.", "description": " - In recent years, the Caribbean region has faced challenges from oil spills and an influx of floating sargassum seaweed. Large-scale oil spill incidents have included an April 2017 spill at Pointe-\u00e0-Pierre, Trinidad and Tobago and a July 2017 oil spill in Kingston Harbor, Jamaica. Illegal dumping of oil-contaminated waste by ships operating in the region is also a common occurrence. An increase in the frequency and volume of sargassum beachings and coastal overabundance has caused another challenge for the region with mats preventing the deployment and retrieval of fishing gear and clogging popular beaches, harbors and bays. Based on the amounts of Sargassum detected in the Central West Atlantic and the Caribbean and in January \u2013 April 2018, researchers at the University of South Florida (USF) predict high amounts of Sargassum in Caribbean in coming months. In response to these challenges, a meeting of 40 experts from 15 countries was held in May of this year to discuss sargassum and oil spill monitoring in the Caribbean and Adjacent regions. The participants included representatives from various United Nations entities, academia, governments, private companies and international initiatives. The workshop was organized by IOCARIBE of IOC UNESCO and its Global Ocean Observing System Regional Alliance, IOCARIBE-GOOS, and the GEO Blue Planet Initiative, and hosted by the Ministry of Education of Mexico and Mexico National Council of Sciences. The overarching goal of the workshop was to develop a plan for the development of a region-wide system for monitoring and forecasting oil spills and sargassum presence. At the workshop, experts reviewed the existing technologies and challenges for monitoring and forecasting oil spills and sargassum in the Caribbean and adjacent regions and ultimately drafted a plan to create an information system based on existing efforts. It was determined that the objective of the information service will be to provide a publicly available monitoring platform and alerting system for oil spills and sargassum based on publically available data (e.g. satellite data and in situ data from countries with open data sharing policies). The service will initially be based on existing technologies and activities, working to augment and improve the framework for information management and delivery and mechanisms for the region and demonstrate the utility of ocean observations and products. It was agreed that the initial development of the service would be done by partner organizations, and the NOAA CoastWatch program and the Caribbean Marine Atlas volunteered to host service components initially. The long-term goal is to have the information service coordinated and built upon by a regional body in a model similar to that of the International Tsunami Information Centre. - , - Published - , - Refereed - , - Current - , - 14.2 - , - 14.1 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1357", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1357", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1357", "url": "https:\/\/hdl.handle.net\/11329\/1357" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Sargassum", "Management", "Monitoring", "Oil spills", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass", "Parameter Discipline::Environment::Human activity" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/602", "name": "Best practices for assessing ocean health in multiple contexts using tailorable frameworks.", "description": " - Marine policy is increasingly calling for maintaining or restoring healthy oceans while human activities continue to intensify. Thus, successful prioritization and management of competing objectives requires a comprehensive assessment of the current state of the ocean. Unfortunately, assessment frameworks to define and quantify current ocean state are often site-specific, limited to a few ocean components, and difficult to reproduce in different geographies or even through time, limiting spatial or temporal comparisons as well as the potential for shared learning. Ideally, frameworks should be tailorable to accommodate use in disparate locations and contexts, removing the need to develop frameworks de novo and allowing efforts to focus on the assessments themselves to advise action. Here, we present some of our experiences using the Ocean Health Index (OHI) framework, a tailorable and repeatable approach that measures health of coupled human-ocean ecosystems in different contexts by accommodating differences in local environmental characteristics, cultural priorities, and information availability and quality. Since its development in 2012, eleven assessments using the OHI framework have been completed at global, national, and regional scales, four of which have been led by independent academic or government groups. We have found the following to be best practices for conducting assessments: Incorporate key characteristics and priorities into the assessment framework design before gathering information; Strategically define spatial boundaries to balance information availability and decision-making scales; Maintain the key characteristics and priorities of the assessment framework regardless of information limitations; and Document and share the assessment process, methods, and tools. These best practices are relevant to most ecosystem assessment processes, but also provide tangible guidance for assessments using the OHI framework. These recommendations also promote transparency around which decisions were made and why, reproducibility through access to detailed methods and computational code, repeatability via the ability to modify methods and computational code, and ease of communication to wide audiences, all of which are critical for any robust assessment process. - , - Refereed - , - SDG14.1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/602", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/602", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/602", "url": "https:\/\/hdl.handle.net\/11329\/602" }, "author": [ { "@type": "Person", "name": "Lowndes, Julia S.S." }, { "@type": "Person", "name": "Pacheco, Erich J." }, { "@type": "Person", "name": "Best, Benjamin D." }, { "@type": "Person", "name": "Scarborough, Courtney" }, { "@type": "Person", "name": "Longo, Catherine" }, { "@type": "Person", "name": "Katona, Steven K." }, { "@type": "Person", "name": "Halpern, Benjamin S." } ], "keywords": [ "Ocean Health Index (OHI)", "Ecosystem assessment", "Ecosystem-based management", "Science policy", "Parameter Discipline::Environment::Anthropogenic contamination" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1781", "name": "Image curation and publication. Version 1.0.0 and Supplement Version 1.0.0.", "description": " - The purpose of this Standard Operating Procedure (SOP) is to generally describe how to publish marine research image data such as photos and videos for scientific use. The goal of this document is to enable all scientists to provide FAIR and open image data using the infrastructure available to them. The scope of this SOP includes the steps necessary to make existing images (photos and videos) available to open scientific use after acquisition. This includes a) providing a core set of image metadata, b) saving files and metadata in a central storage location with backup and long-term archival, c) disclosure of image existence through public databases by publishing the image metadata, d) enabling access to image data for authorized stakeholders, e) enabling scientific interpretation of image, and f) FAIR and open publication of the image data itself. Completing the SOP will result in well-curated image data that adheres to open standards. - , - MareHub of the Helmholtz Association - , - Published - , - Current - , - 14.a - , - N\/A - , - Novel (no adoption outside originators) - , - Multi-organisational - , - International - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1781", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1781", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1781", "url": "https:\/\/hdl.handle.net\/11329\/1781" }, "author": [ { "@type": "Person", "name": "Schoening, Timm" } ], "contributor": [ { "@type": "Organization", "name": "MareHub of the Helmholtz Association" } ], "keywords": [ "Underwater camera", "Image processing", "Video", "Underwater photography", "underwater cameras", "Data acquisition", "Data management planning and strategy development", "Data quality control", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1686", "name": "SeasaveV7 Setup & Data Acquisition.", "description": " - SeasaveV7 on Windows 7 CTD Operator's Cookbook - , - Published - , - Current - , - 14.a - , - N\/A - , - Mature - , - Multi-organisational - , - CTD - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1686", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1686", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1686", "url": "https:\/\/hdl.handle.net\/11329\/1686" }, "contributor": [ { "@type": "Organization", "name": "California Cooperative Oceanic Fisheries Investigation" } ], "keywords": [ "Physical oceanography", "CTD", "Data acquisition", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2392", "name": "Comparative assessment of seafloor sampling platforms.", "description": " - The Australian Marine Parks are the largest network of marine protected areas in the world, and their establishment means that Australia is now tasked with managing an area almost 3.3 million km2. In addition, Australia has the third largest exclusive economic zone in the world, with an extensive geographic area on which to report for State of Environment. The vastness of Australia\u2019s marine estate means that appropriate, efficient, and comparable sampling methods are crucial to meet management and reporting obligations. The overarching objectives of environmental monitoring are to assess condition and detect trends, and numerous marine sampling platforms exist to acquire data to meet these needs. It is daunting to consider all marine sampling platforms in the context of a single monitoring program and to ensure that the most appropriate methods are used for a given purpose. There is thus a need to synthesise and compare these platforms as they relate to the design and implementation of monitoring programs. The purpose of the current study is to describe and comparatively assess common seafloor sampling platforms. We do this by conducting a qualitative assessment and comprehensively reviewing the available literature to identify their potential limitations and advantages. For the purposes of this report, marine sampling platforms include those that acquire seafloor data using underwater equipment or methods. We focus on sampling platforms near (i.e. demersal) or at (i.e. benthic) the seafloor because the habitat and associated biota targeted by these platforms are usually fixed and can be revisited, making them well-suited to monitoring activities. This report is divided into four sections, as well as an introduction (Section 1): \u2022 Section 2 describes each major benthic and demersal biological sampling platform, including their advantages, disadvantages, and innovations. These include acoustics platforms (e.g. multibeam echosounder (MBS), sidescan, single-beam), visual methods (e.g. autonomous underwater vehicle (AUV), baited remote underwater vehicle (BRUV), towed imagery, underwater visual census (UVC)), and direct sampling (e.g. ROV, sleds, dredges, corer, grabs). \u2022 Section 3 describes the use and perceptions of six benthic and demersal sampling platforms (AUV, BRUV, MBS, towed imagery, sleds\/trawls, grabs\/box corers) via results from an online questionnaire released on 15 Dev 2016 to gauge use and perceptions of common marine sampling platforms in Australia. A total of 49 people completed the questionnaire, and three platforms were frequently used by a large proportion of respondents: MBS (42.5%), grabs\/boxcores (41%), and towed imagery (40%). Highest perceptions of cost and deployment effort were associated with the AUV and MBS. \u2022 Section 4 presents results from a literature review in which we searched for studies that used two or more marine benthic or demersal biological sampling platforms, excluding acoustics methods. We then refined this search to include studies that either i) directly compared methods (50 studies) or ii) tested for similar ecological relationships among two or more gear types (42 studies). Based on direct comparisons, the platforms with the least similarity between them may be operator-based direct sampling and sled\/trawl, operator-based imagery acquisition and UVC, and UVC and BRUVs. Based on ecological congruence, data from sleds\/trawls and grabs\/corers showed similar ecological patterns, while UVC and BRUV and UVC and grabs\/corers may be the least ecologically congruent. \u2022 Section 5 relates our results to marine monitoring by linking each sampling platform to its capability to measure global indicators (Essential Ocean Variables, Essential Biodiversity Variables). We also provide further advice on choosing an appropriate sampling platform as related to monitoring program objectives, target environment, and available resources including cost. Our study confirms that marine surveys are undertaken to acquire baseline environmental data, identify important habitats or taxa, or detect change (including quantifying impacts), each of which is associated with optimal survey designs and sampling platforms. A comprehensive marine monitoring program can include aspects of all of these goals. For example, seafloor acoustic methods provide a baseline map of the seabed from which a powerful and appropriate survey design can then be implemented. On subsequent surveys to detect change, however, such methods may not be needed unless an assessment of seabed stability and geohazards is required. Direct sampling yields valuable biological specimens, particularly in unexplored areas, from which a species inventory can be derived to inform subsequent change detection. Non-extractive methods such as underwater imagery and visual censuses are currently the most appropriate methods to detect change and quantify benthic impacts due to their capacity to collect true repeat observations, which increases efficiency when estimating the trend. Imagery also provides a permanent record of a snapshot in time with minimal interference, compilations of which can then be used to detect trends. There is no universal method appropriate for all marine sampling; a one-size-fits-all approach is neither feasible nor desirable in monitoring programs. For surveys collecting baseline or descriptive information, a diversity of gear may be more appropriate, while for monitoring surveys, fewer platforms capable of repeatable sampling would be more appropriate. This comparative assessment provides information that can be used to guide marine sampling activities as they relate to monitoring objectives. Such information is crucial to ensure cost-effectiveness and efficacy of marine monitoring activities, specifically that the best methods are being used with appropriate knowledge of limitations and challenges. In addition to the marine sampling platforms that are chosen, robust survey designs and standard operating procedures are crucial to ensure consistency of data and comparability over time and space. - , - https:\/\/doi.org\/10.25607\/OBP-1971 - , - Published - , - Refereed - , - Current - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2392", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2392", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2392", "url": "https:\/\/hdl.handle.net\/11329\/2392" }, "author": [ { "@type": "Person", "name": "Przeslawski, Rachel" }, { "@type": "Person", "name": "Foster, Scott" }, { "@type": "Person", "name": "Monk, Jacquomo" }, { "@type": "Person", "name": "Langlois, Tim" }, { "@type": "Person", "name": "Lucieer, Vanessa" }, { "@type": "Person", "name": "Stuart-Smith, Rick" } ], "contributor": [ { "@type": "Organization", "name": "Geoscience Australia, Marine Biodiversity Hub" } ], "keywords": [ "Environmental monitoring", "Sampling platforms", "Seafloor sampling", "Benthic biological sampling", "Demersal biological sampling", "Essential Ocean Variables (EOV)", "Essential Biodiversity Variables (EBV)", "Comparison", "Other biological measurements", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/769", "name": "Performance Verification Statement for Campbell Scientific CS547A and OBS-3A Salinity Probes.", "description": " - Instrument performance verification is necessary so that effective existing technologies can be recognized, and so that promising new technologies can become available to support coastal science, resource management, and ocean observing systems. The Alliance for Coastal Technologies (ACT) has therefore completed an evaluation of commercially available in situ salinity sensors. While the sensors evaluated have many potential applications, the focus of this Performance Verification was on nearshore moored and profiled deployments and at a performance resolution of between 0.1 \u2013 0.01 salinity units. In this Verification Statement, we present the performance results of the CS547A salinity probe evaluated in the laboratory and under diverse environmental conditions in moored field tests. In addition the OBS-3A salinity probe was tested in a vertical profiling application. A total of one laboratory site and five different field sites were used for testing, including tropical coral reef, high turbidity estuary, subtropical and sub-arctic coastal ocean, and freshwater riverine environments. Quality assurance (QA) oversight of the verification was provided by an ACT QA specialist, who conducted technical systems audits and a data quality audit of the test data. In the lab tests, the CS547A exhibited a linear but variable response when exposed to 15 different test conditions covering five salinities ranging from 7 \u2013 34 psu, each at three temperatures ranging from 6 2 - 32 oC (R >0.963, SE = 1.954 and slope = 0.927). The overall mean and variance of the absolute difference between instrument measured salinity and reference sample salinity for all treatments was 2.33 \u00b12.03 psu. When examined independently, the relative accuracy of the conductivity and temperature sensors were 2.52 \u00b12.35 mS\/cm and -0.0394 \u00b10.0721 oC, respectively. Across all five field deployments, the range of salinity tested against was 0.14 \u2013 36.97. The corresponding conductivity and temperatures ranges for the tests were 0.27 \u2013 61.69 mS cm-1 and 10.75 \u2013 31.14 oC, respectively. With the exception of the MI freshwater test site, instrument performance was impacted by calibrations issues as well as impacts from biofouling. For the MI deployment the average offset in salinity was -0.033 \u00b10.010 and performance was stable throughout the deployment. For the marine test sites the initial offset in measured salinity during the first week of deployment ranged from 0.4 \u2013 3.0 psu. The measurement error was due almost exclusively from the conductivity sensor and the temperature sensor response was quite stable and accurate at all sites. The average offset of the measured temperature relative to our calibrated reference temperature logger was 0.026, -0.009, 0.092, 0.008, and 0.079 oC for FL, GA, HI, MI, and AK, respectively. When instrument response was compared together for the first 14 days of deployment at all five field sites, a fairly consistent and linear performance response was observed with R2 = 0.982, SE = 1.789 and slope = 0.982. This response was also very similar to that observed for the lab studies. For the vertical profiling application, the OBS-3A tracked vertical changes in salinity closely and the average offset over the two profiling tests was 0.74 \u00b1 0.19 psu. Performance checks were completed prior to field deployment and again at the end of the deployment, after instruments were thoroughly cleaned of fouling, to evaluate potential calibration drift versus biofouling impacts. There were often significant changes in the measured accuracy for salinity of between 1-3 psu. It is not possible to directly identify whether these changes resulted from calibration drift or if we could simply not completely remove the impacts of biofouling during our post-deployment cleaning. During this evaluation, no problems were encountered with the provided software, set-up functions, or data extraction at any of the test sites. One hundred percent of the data was recovered from the instrument and no outlier values were observed for all laboratory tests, all field deployment tests, and all tank exposure tests. Lastly, a check on the instruments time clocks at the beginning and end of field deployments showed differences of between minus 1 and plus 3 seconds among test sites. We encourage readers to review the entire document for a comprehensive understanding of instrument performance. - , - Published - , - Refereed - , - Current - , - Sea surface salinity - , - Subsurface salinity - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/769", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/769", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/769", "url": "https:\/\/hdl.handle.net\/11329\/769" }, "author": [ { "@type": "Person", "name": "Gilbert, S." }, { "@type": "Person", "name": "Gundersen, K." }, { "@type": "Person", "name": "Johengen, T." }, { "@type": "Person", "name": "McKissack, T." }, { "@type": "Person", "name": "McIntyre, M." }, { "@type": "Person", "name": "Pinchuk, A." }, { "@type": "Person", "name": "Purcell, H." }, { "@type": "Person", "name": "Robertson, C." }, { "@type": "Person", "name": "Schar, D." }, { "@type": "Person", "name": "Smith, G.J." }, { "@type": "Person", "name": "Tamburri, M." }, { "@type": "Person", "name": "Wells, D." } ], "contributor": [ { "@type": "Organization", "name": "Alliance for Coastal Technologies (ACT)" } ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1790", "name": "Reference framework for assessing the scientific and socio-economic impact of research infrastructures.", "description": " - Research Infrastructures (RIs) are indispensable for enabling and developing research in almost all scientific domains and represent an increasingly large share of research investment. As policy makers, funding agencies and RI management are increasingly expected to justify key decisions about implementing new projects or investing in existing ones, there is a demand for credible methodologies for assessing the overall impact of RIs. This report proposes a \u201cFramework for assessing the scientific and socio-economic impact of research infrastructures\u201d. It aims to provide funders, decision-makers and RI managers with a generic and versatile tool, based on current community practices, to evaluate the achievement of scientific and socio-economic objectives in a realistic way. The framework can be adapted for different types of RIs and different stages in the RI lifecycle. This tool should facilitate the communication and reporting between different RI stakeholders - , - OECD - , - Published - , - Refereed - , - Current - , - 14.a - , - N\/A - , - Mature - , - International - , - Guidelines & Policies - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1790", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1790", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1790", "url": "https:\/\/hdl.handle.net\/11329\/1790" }, "contributor": [ { "@type": "Organization", "name": "OECD Publishing" } ], "keywords": [ "Research Infrastructure", "Scientific impact", "Socio-economic impact", "Impact assessment", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1567", "name": "Protocol for TSS Blank Collection. [Training video]", "description": " - Instructional video for Integrated Marine Observing System (IMOS) TSS Blank Collection \u2013 Protocol for IMOS TSS blank collection (2.08 mins) ........ - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 9 Actual system \"mission proven\" through successful mission operations (ground or space) - , - Standard Operating Procedure - , - Training and Educational Material - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1567", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1567", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1567", "url": "https:\/\/hdl.handle.net\/11329\/1567" }, "contributor": [ { "@type": "Organization", "name": "CSIRO\/Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Total suspended solids", "Biogeochemical water sampling", "Water sampling", "Parameter Discipline::Marine geology::Suspended particulate material" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1598", "name": "Quality Assurance & Quality Control of Wave Data 2016, Version 1.0.01.", "description": " - The National Network of Regional Coastal Monitoring Programmes of England has developed a coastal wave network which concentrates on measurements in shallow water where, traditionally, there are very few long-term wave data and where the wave transformation models are generally less reliable. The main purposes of the coastal wave network are to: - Provide real-time data for use in beach operations, coastal flood forecasting and warning - Provide baseline design statistics for future coastal and marine planning projects - Enable operational assistance in coastal construction projects - Assist the monitoring of coastal processes such as beach erosion and sediment transport - Provide validation of coastal wave hydrodynamics and sediment dynamics modelling Quality assurance (QA) and quality control (QC) practices are in place to provide high-quality marine observations and to ensure the value and credibility of the data to users. Quality Assurance concerns aspects such as the choice of equipment suitable for the environment, sufficiently accurate, precise and reliable with adequate resolution, and subsequent operational maintenance, which together can ensure high quality observations in the long term. Quality Control refers to the subsequent steps taken to review the measured data using both automated and manual techniques. There is no worldwide or European standard for wave data. This document outlines the QA practices and QC tests used for wave data collected by the Regional Coastal Monitoring Programmes. The following wave parameters are collected and archived: - Significant wave height HS (m) - Spectrally-derived zero-crossing wave period TZ (s) - Peak wave period TP (s) - Wave direction Dir (\u00b0) - (Directional) Spread Spd (\u00b0) - Maximum observed wave height Hmax (m) - Sea surface temperature SST (C\u00b0) - , - National Network of Regional Coastal Monitoring Programmes of England - , - Published - , - Refereed - , - Current - , - 14.a - , - Sea state - , - Multi-organisational - , - Directional Waverider buoys, Datawell - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1598", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1598", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1598", "url": "https:\/\/hdl.handle.net\/11329\/1598" }, "author": [ { "@type": "Person", "name": "Mason, Travis" }, { "@type": "Person", "name": "Dhoop, Thomas" } ], "contributor": [ { "@type": "Organization", "name": "Channel Coastal Observatory, National Oceanography Centre" } ], "keywords": [ "Waves", "wave recorders", "Data acquisition", "Data quality control", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1028", "name": "Test method of seawater dissolved oxygen analyzer.", "description": " - This best practice specifies the test equipment, test environmental conditions, test methods of the seawater dissolved oxygen analyser and requirements for the compilation of test reports. This best practice is applicable to the test of instruments used for determination of dissolved oxygen in ocean, coastal seawater and estuarine water in the production and use. - , - Published - , - Refereed - , - Current - , - 14.A - , - Oxygen - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1028", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1028", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1028", "url": "https:\/\/hdl.handle.net\/11329\/1028" }, "author": [ { "@type": "Person", "name": "Wang, Cong" }, { "@type": "Person", "name": "Wang, Aijun" }, { "@type": "Person", "name": "Sui, Jun" }, { "@type": "Person", "name": "Li, Mingzhao" } ], "contributor": [ { "@type": "Organization", "name": "General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China" } ], "keywords": [ "Dissolved oxygen", "Parameter Discipline::Chemical oceanography::Dissolved gases", "Instrument Type Vocabulary::dissolved gas sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1173.2", "name": "Quality Control procedures for IMOS Ocean Radar Manual, Version 3.0.", "description": " - The IMOS Ocean Radar Facility Quality-Control and Data User\u2019s Manual is a comprehensive guide designed for individuals utilizing the Facility's data. A crucial element within Australia\u2019s Integrated Marine Observing System (IMOS), this manual outlines the data stream, data products, data formats, and the quality control procedures applicable to both real-time (RT) and delayed-mode (DM) data produced by the Facility. - , - Published - , - Refereed - , - Current - , - 14.a - , - Surface currents - , - Sea state - , - Ocean surface stress - , - Mature - , - Manual - , - Validated (tested by third parties) - , - Multi-organisational - , - National - , - Method - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1173.2", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1173.2", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1173.2", "url": "https:\/\/hdl.handle.net\/11329\/1173.2" }, "author": [ { "@type": "Person", "name": "Cosoli, Simone" }, { "@type": "Person", "name": "Grcic, Badema" } ], "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Australian Coastal Ocean Radar Network (ACORN)", "Parameter Discipline::Physical oceanography::Waves", "Parameter Discipline::Physical oceanography::Currents", "Parameter Discipline::Atmosphere::Meteorology", "Instrument Type Vocabulary::surface current radars", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1143", "name": "Sampling protocol for assessment of marine diversity on rocky shores. (Modified from the SARCE South American Research Group on Coastal Ecosystems for sampling on rocky shores protocol).", "description": " - Rocky shores are among the most studied marine habitats, and their communities are often used as models to describe biodiversity dynamics worldwide. There is a need to understand and monitor environmental changes at global scales and the impact of climate change and other global stressors to marine biodiversity, this protocol provides a standardized methodology and sampling design for marine diversity at rocky shores in the intertidal zone. This protocol was produced by a group of experts (SARCE, 2012) and is updated by the Marine Biodiversity Observation Network Pole to Pole of the Americas (MBON Pole to Pole) in 2019 in order to create a standard method for intertidal biodiversity assessment valid across the American continent. Ecological variables measured by this protocol: Abundance; Cover; Presence\/Absence - MATERIALS; One 30m metric transect tape.; One Hand-held GPS unit; Two 0.5m x 0.5m (0.25m2) PVC quadrat, one gridded \u2013see construction instructions below and one not gridded.; One Waterproof camera.; One Clinometer or Telephone with clinometer app.; 10m stainless steelchain (1cm link) or any other length can be used,as long as 10 m are measured.; Field spreadsheet.; Paper\/pencil.; ManualCell Counter (Optional \u2013for easy count of small abundant organisms). - , - Published - , - Refereed - , - Current - , - 14.2 - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1143", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1143", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1143", "url": "https:\/\/hdl.handle.net\/11329\/1143" }, "contributor": [ { "@type": "Organization", "name": "Marine Biodiversity Observation Network Pole to Pole of the Americas" } ], "keywords": [ "Biological sampling", "Marine biodiversity", "Biomass", "Parameter Discipline::Biological oceanography::Biota abundance, biomass and diversity", "Parameter Discipline::Biological oceanography::Rock and sediment biota" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1802", "name": "Enabling local blue growth in developing countries: a thematic review.", "description": " - Blue growth \u2013 the prospect of economic revenue and wellbeing from the sustainable use of ocean resources \u2013 has caught the interest of most coastal and island nations of the world, including many developing countries. The sea alone does not, however, spur socioeconomic development in coastal communities. A large body of scientific literature explores the circumstances under which a community\u2019s access to natural resources actually leads to local economic growth. This study specifically examines the literature targeting the communal-level outcome of aquatic resource use in developing countries, with a focus on identifying the prerequisites for socioeconomic wellbeing resulting from the exploitation of such resources. More specifically, this study strives to identify the institutional and infrastructure factors that promote local blue growth in developing countries. It consists of a thematic review of 90 scientific articles involving systematic mapping, regression analysis and content analysis. The study concludes that the incomes and wellbeing of coastal communities in developing countries depend on well-functioning value chains and the degree of social development. The results also show that the sustainability of marine and coastal resources is associated with the quality of resource management, the degree of coherence of policy and legal frameworks and the manner in which they are communicated. Inadequate resource management and incoherent policies and laws, on the other hand, are associated with lower incomes, wealth and employment. The study identifies a number of critical factors related to the type and quality of governance. Blue growth at local level benefits from governance frameworks that are coherent and reliable, leadership that is dynamic and legitimate, an administration that is reliable and enforcement that is efficient. It is also of great importance that decisions affecting the livelihoods of coastal communities be adapted to the local circumstances and that communities be given adequate opportunity to influence those decisions. Coastal-community development depends on the degree of social cohesion and equity in access to resources, as well as on the capacity of individuals and organisations. Such capacity is important not only in the private sphere for the development of sustainable blue businesses, but also in the public sphere for the design and implementation of public policies that are evidence-based and adapted to context. A further conclusion of this study is that local blue growth benefits from the existence of well-functioning value chains, markets that are open and accessible, and infrastructure that is adequate and well maintained. Based on these results, the study proposes the following eight recommendations for consideration by authorities and development agents working for local blue growth. These recommendations are further elaborated in Chapter 6. 1. Ensure that legal frameworks and policies affecting the blue economy are coherent, clear and predictable. 2. Support the development of well-functioning value chains for blue economy products and services 3. Support the creation and development of organisations for blue growth in the local community. 4. Appreciate the importance of high-quality leadership. 5. Engage local communities in decisions affecting their blue economy. 6. Enhance the capacity and technical skills of individuals and institutions of the blue economy. 7. Provide and maintain the infrastructure necessary for local blue growth. 8. Build local blue growth using the whole toolbox \u2013 the above recommendations for advancement of local blue growth should not be viewed in isolation but addressed simultaneously. This report is a result of SwAM Ocean, an international development cooperation programme being operated by the Swedish Agency for Marine and Water Management (SwAM). SwAM Ocean aims to contribute to poverty reduction through sustainable use of aquatic resources. To reach this goal we need a good understanding of the premises for enabling long-term blue growth in coastal communities. This report is part of a four-part series of studies of the topic. As part of SwAM Ocean, four studies exploring the conditions for lifting coastal communities out of poverty are being conducted. These four studies investigate institutional and infrastructure factors affecting blue growth and social development at local level in developing countries. The first study (WSP, 2020) analyses 17 cases of successful blue growth at community level, based on small-scale fisheries, aquaculture and conservation. The study is based on a literature review and expert interviews. It identifies co-management of natural resources, access to credit, technical skills, well-functioning post-harvest value chains and the presence of infrastructure such as fishing ports, docking and storage as being key to enabling local blue growth. In the second study a thematic review of scientific literature is conducted, and is presented in this report. Results of the review indicate that local blue growth is more likely in the presence of coherent and predictable blue-economy frameworks, and when stakeholders have adequate capacity and skills. National and international institutions and actors need to adapt blue-economy projects and policies to local contexts, support the development of well-functioning value chains and ensure that efficient environmental regulations are enforced. A spatial analysis exploring how basic infrastructure affects blue growth and socioeconomic development is presented in the third study (GroundTruth, 2021). It explores 11 rural coastal communities in the Western Indian Ocean region, and concludes that the presence of and access to roads, airports and electricity in coastal communities contribute to economic wellbeing. The key role played by strategic planning is also highlighted, indicating that strategically planned communities tend to feature higher levels of both economic and social wellbeing. The fourth study explores lessons learned from promotion of local blue growth in coastal communities in Sweden. Applying a case-study approach, it identifies enablers and barriers, along with strategies used for overcoming them, resulting in successful project outcomes. SwAM is the responsible Swedish government agency tasked with protecting, restoring and ensuring sustainable use of freshwater and ocean resources, including fisheries management. The work being carried out within the international development cooperation programme SwAM Ocean contributes to holistic marine management, blue growth and poverty alleviation in partner countries and regions. In parallel, knowledge gained from the SwAM Ocean collaboration enhances and improves our own understanding and management of Swedish aquatic resources. Ecosystem-based management, ocean literacy and cross-sectoral planning, including marine Enabling local blue growth in developing countries spatial planning, are examples of processes in which mutual learning is key in order to achieve sustainable management of the oceans in Sweden and at international level - , - Swedish Agency for Marine and Water Management - , - Published - , - Contributing authors: Maria G\u00f6thberg, Linus Hammar, Gon\u00e7alo Carneiro, Ylva Mattsson and Marie-Laure Sundman - , - Bl\u00e5 tillv\u00e4xt \u2013 allts\u00e5 att s\u00e4kra ekonomiska int\u00e4kter och skapa socialt v\u00e4lbefinnande fr\u00e5n ett h\u00e5llbart anv\u00e4ndande av havets resurser \u2013 har v\u00e4ckt intresse hos m\u00e5nga kust- och \u00f6nationer runt om i v\u00e4rlden, inklusive m\u00e5nga utvecklingsl\u00e4nder. N\u00e4rheten till ett inneh\u00e5llsrikt hav resulterar dock inte automatiskt i socioekonomisk utveckling i kustsamh\u00e4llen. Det finns en stor m\u00e4ngd vetenskaplig litteratur som unders\u00f6ker under vilka f\u00f6rh\u00e5llanden ett samh\u00e4lles tillg\u00e5ng till naturresurser faktiskt leder till lokal ekonomisk tillv\u00e4xt. Denna studie \u00e4r en n\u00e4rmare genomg\u00e5ng av den litteratur som specifikt studerar lokal bl\u00e5 tillv\u00e4xt i utvecklingsl\u00e4nder. Studiens syfte \u00e4r att identifiera under vilka f\u00f6ruts\u00e4ttningar ett lokalt anv\u00e4ndande av havets resurser leder till \u00f6kade inkomster och socioekonomiskt v\u00e4lbefinnande p\u00e5 lokal niv\u00e5. Mer specifikt str\u00e4var denna studie efter att kartl\u00e4gga den infrastruktur och de institutionella faktorer som fr\u00e4mjar lokal bl\u00e5 tillv\u00e4xt i utvecklingsl\u00e4nder. Studien \u00e4r en tematisk granskning av 90 vetenskapliga artiklar, vilket omfattar systematisk kartl\u00e4ggning, regressionsanalys och textanalys. Studien drar slutsatsen att \u00f6kade inkomster och socialt v\u00e4lbefinnande i utvecklingsl\u00e4nders kustsamh\u00e4llen beror p\u00e5 tillg\u00e5ngen till v\u00e4lfungerande v\u00e4rdekedjor och niv\u00e5n av social utveckling. Resultaten visar ocks\u00e5 att de marina resursernas h\u00e5llbarhet \u00e4r avh\u00e4ngt kvaliteten i naturresursf\u00f6rvaltningen, graden av samst\u00e4mmighet i politik och juridiska ramverk, och hur inneh\u00e5llet och betydelsen av dessa regelverk kommuniceras. Vidare visar studien hur en bristande naturresursf\u00f6rvaltning och of\u00f6renlighet mellan politik och juridik relaterar till l\u00e4gre tillg\u00e5ngar och inkomster, samt en minskad syssels\u00e4ttning. Studien identifierar \u00e4ven ett antal avg\u00f6rande faktorer inom samh\u00e4llsstyrningens typ och kvalitet med p\u00e5verkan p\u00e5 den lokala bl\u00e5 tillv\u00e4xten. Lokal bl\u00e5 tillv\u00e4xt gynnas av samh\u00e4llsstyrning som \u00e4r samst\u00e4mmig och tillf\u00f6rlitlig, av ledarskap som \u00e4r dynamiskt och legitimt, och av en fungerande och effektiv administration. Det \u00e4r ocks\u00e5 av stor vikt att de beslut som p\u00e5verkar kustsamh\u00e4llenas f\u00f6rs\u00f6rjning och syssels\u00e4ttning anpassas till de lokala f\u00f6rh\u00e5llandena, och att samh\u00e4llena ges tillr\u00e4cklig m\u00f6jlighet att p\u00e5verka dessa beslut. Kustsamh\u00e4llens sociala utveckling beror p\u00e5 graden av social sammanh\u00e5llning och en r\u00e4ttvis tillg\u00e5ng till marina resurser, samt individers och organisationers kapacitet och kunskap. En h\u00f6g kapacitet \u00e4r inte bara viktig inom den privata sektorn f\u00f6r att utveckla h\u00e5llbara bl\u00e5 f\u00f6retag, utan ocks\u00e5 inom den offentliga sektorn f\u00f6r att utforma och genomf\u00f6ra en politik som \u00e4r evidensbaserad och kontextanpassad. Lokal bl\u00e5 tillv\u00e4xt gynnas \u00e4ven av f\u00f6rekomsten av v\u00e4lfungerande v\u00e4rdekedjor, \u00f6ppna och tillg\u00e4ngliga marknader samt infrastruktur som underh\u00e5lls och utvecklas. Baserat p\u00e5 dessa resultat f\u00f6ljer \u00e5tta rekommendationer som riktar sig till b\u00e5de myndigheter och andra utvecklingsakt\u00f6rer som arbetar f\u00f6r lokal bl\u00e5 tillv\u00e4xt. Dessa rekommendationer beskrivs mer utf\u00f6rligt i kapitel 6. 1. S\u00e4kerst\u00e4ll att juridiska ramverk och politik som p\u00e5verkar den bl\u00e5 ekonomin \u00e4r sammanh\u00e4ngande, tydliga och f\u00f6ruts\u00e4gbara 2. Gynna utvecklingen av v\u00e4lfungerande v\u00e4rdekedjor f\u00f6r produkter och tj\u00e4nster inom den bl\u00e5 ekonomin. 3. St\u00f6d etablerandet och utvecklingen av organisationer som verkar f\u00f6r bl\u00e5 tillv\u00e4xt i lokalsamh\u00e4llen. 4. V\u00e4rdes\u00e4tt betydelsen av ledarskap av h\u00f6g kvalitet. 5. Involvera lokala samh\u00e4llen i beslut som p\u00e5verkar deras bl\u00e5 ekonomi. 6. St\u00e4rk kapacitet och tekniska kompetens hos individer och institutioner som verkar i den bl\u00e5 ekonomin. 7. Tillhandah\u00e5ll och underh\u00e5ll den infrastruktur som \u00e4r n\u00f6dv\u00e4ndig f\u00f6r lokal bl\u00e5 tillv\u00e4xt. 8. Bygg lokal bl\u00e5 tillv\u00e4xt med hj\u00e4lp av hela verktygsl\u00e5dan \u2013 ovanst\u00e5ende rekommendationer beh\u00f6ver hanteras samtidigt f\u00f6r att skapa en gynnsam grogrund f\u00f6r lokal bl\u00e5 tillv\u00e4xt - , - Current - , - 14.7 - , - N\/A - , - Multi-organisational - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1802", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1802", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1802", "url": "https:\/\/hdl.handle.net\/11329\/1802" }, "contributor": [ { "@type": "Organization", "name": "Swedish Agency for Marine and Water Management" } ], "keywords": [ "Blue growth", "Blue economy", "Developing countries", "Low Income Developing States (LIDS)", "SwAM Ocean", "Human activity", "Administration and dimensions" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2588", "name": "OSPAR Joint Assessment and Monitoring Programme (JAMP) 2024-2028 OSPAR Agreement 2024-01.", "description": " - Monitoring and assessment of the North-East Atlantic is the basis for better understanding its status and is essential to support and guide OSPAR\u2019s work to protect the marine environment. The Joint Assessment and Monitoring Programme\u2019s (JAMP) primary purpose is to describe the products OSPAR Contracting Parties are committed to deliver, through collaborative efforts, to deliver OSPAR Contracting Parties\u2019 obligations in Article 6 and Annex IV of the OSPAR Convention to: a. undertake and publish regular joint assessments of the quality status of the marine environment and of its development; and b. assess the effectiveness of measures and identify priorities for action. 2. It sets out a framework to provide the evidence needed by Contracting Parties: a. to take all possible steps to prevent and eliminate pollution; 1 Replaces OSPAR Agreement 2014-02 OSPAR Convention Joint Assessment and Monitoring Programme (JAMP) JAMP assessment products for next joint quality status report List of and timings of required assessment products JAMP new products Development of new monitoring\/assessment products CEMP \u2013 agreed monitoring specifications (including Appendices and Guidelines) Regular JAMP assessment products (not in next QSR) Details of regular OSPAR assessment products. b. to take measures to protect the OSPAR maritime area against the adverse effects of human activities; and c. to protect and conserve marine species and habitats and, where practicable restore marine areas that have been adversely affected. 3. It supports implementation of the North-East Atlantic Environment Strategy (NEAES) 2030 (NEAES) and, for those Contracting Parties that are also EU Member States, implementation of the EU Marine Strategy Framework Directive (MSFD, Directive 2008\/56\/EC2). 4. The last OSPAR Quality Status Report was published in 2023 in line with the framework established under the JAMP 2014-2023. This revision replaces the previous JAMP 2014-2023 and is designed to guide delivery of the next OSPAR joint quality status report. - , - https:\/\/doi.org\/10.25607\/OBP-2031 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2588", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2588", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2588", "url": "https:\/\/hdl.handle.net\/11329\/2588" }, "contributor": [ { "@type": "Organization", "name": "OSPAR Commission" } ], "keywords": [ "Cross-discipline", "Data acquisition", "Data archival\/stewardship\/curation" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2339", "name": "Determination of photosynthetic pigments in sea-water.", "description": " - The present volume treats various approaches and recommendations for standardization of determinations of photosynthetic pigments, especially chlorophyll in phytoplankton. Standardization of methods in biological oceanography entails more difficulty than in other fields. Regional differences in abundance and composition of marine communities call for quite a considerable variety of methods when one is measuring standing crop and specific composition as well as productivity. The measuring of primary productivity directly or through estimation of the amount of photosynthetic pigments in the phytoplankton of a given body of water is one of the primary objectives of biological oceanography. Problems of standardization do not appear to be insurmountable in this respect, and standardized methods for comparison over a wide range in space and season are of particular interest. If data for regional charts were comparable, such charts, with regional distribution of photosynthetic pigments and their seasonal variation in the ocean, would be most helpful for the mapping of the world ocean's productive areas. The storage and retrieval system for biological data, which is so urgently needed for further progress in our attempts to understand the ocean and its production of living resources, might also suitably include photosynthetic pigment data. The International Council for the Exploration of the Sea (ICES) and the United States National Academy of Science's Committee on Oceanography have established small groups of experts to consider standardization of methods for determination of photosynthetic pigments in sea-water. In December 1963, the Scientific Committee on Oceanic Research and Unesco established a Joint Group of Experts on Determination of Photosynthetic Pigments (SCOR Working Group N o . 17). This latter group met in Paris from 4 to 6 June 1964 under Professor J. Krey's chairmanship and their report is given in the first part of the present volume. A very important background document for the June meeting was a survey of existing methods prepared by Dr. T . R . Parsons (at that time with Unesco) in his capacity as convener of the ICES Working Group on Methods for Measuring Photosynthetic Pigments in Sea-Water. Dr. Parsons' survey makes up the second part of this volume. Two Australian papers, published in the third and fourth parts of the volume, provide additional information on the methods and their limits. Although written after the group's meeting, these two papers relate closely to its deliberations. The need for intercomparability of methods in oceanography has given strong impetus to critical analysis, improvement of accuracy, simplification of methods in use and invention of new methods. In recommending that Unesco publish these four contributions, S C O R was convinced that this would help to achieve world-wide intercomparison of data, provide a reference for intercalibration of other old and new methods, encourage further methodological studies, and give guidance to those laboratories and scientists who work in this field. Any scientific opinions expressed in these papers are, naturally, those of individual scientists or groups of scientists, and should not be interpreted as the views of Unesco. - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2339", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2339", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2339", "url": "https:\/\/hdl.handle.net\/11329\/2339" }, "contributor": [ { "@type": "Organization", "name": "UNESCO" } ], "keywords": [ "Pigments" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2433", "name": "Eulerian Best Practices. EuroSea Deliverable D3.11.", "description": " - This best practice is based on variables generated by Eulerian platforms following the approaches of other global observing networks and programs (GO-SHIP, OceanGliders, etc.). This report includes recommendations on existing sensors, maintenance procedure and data processing for better data quality. It covers different types of variables provided by Eulerian platforms from the surface to the seafloor (physical, biogeochemical and geophysical). - , - European Union Horizon H2020 - , - Published - , - Refereed - , - Current - , - 14.a - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2433", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2433", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2433", "url": "https:\/\/hdl.handle.net\/11329\/2433" }, "author": [ { "@type": "Person", "name": "Coppola, L." }, { "@type": "Person", "name": "Somavilla, Raquel" }, { "@type": "Person", "name": "Lefevre, Dominique" }, { "@type": "Person", "name": "Garziglia, S\u00e9bastien" } ], "contributor": [ { "@type": "Organization", "name": "EuroSea Project" } ], "keywords": [ "Sensor maintenance", "Eulerian platforms", "Physical oceanography", "Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/160", "name": "Guide for establishing a National Oceanographic Data Centre. (Revised version, 1997). [SUPERSEDED by http:\/\/hdl.handle.net\/11329\/173]", "description": " - This guide has been prepared to assist Member States of Intergovernmental Oceanographic Commission (IOC) in establishing and operating a national oceanographic data centre (NODC). Since the early 1960s, approximately 55 Member States of IOC have established oceanographic data centres or designated a national agency as responsible for international oceanographic data and information exchange. These data centres and designated national agencies (DNAs) support both national and international clients with oceanographic data and information services. - , - Superseded by 2nd revised edition, 2008. - , - Published - , - National Oceanographic data centre - , - 1st revised edition - , - Superseded - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/160", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/160", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/160", "url": "https:\/\/hdl.handle.net\/11329\/160" }, "contributor": [ { "@type": "Organization", "name": "UNESCO for IODE" } ], "keywords": [ "Oceanography", "Data collections", "Data", "Data processing", "Oceanographic data", "Data", "Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1235", "name": "Monitoring Guidance for Underwater Noise in European Seas, Part I: Executive Summary.", "description": " - The Marine Strategy Framework Directive (MSFD) requires European Member States (MS) to develop strategies for their marine waters that should lead to programmes of measures that achieve or maintain Good Environmental Status (GES) in European Seas. As an essential step in reaching good environmental status, MS should establish monitoring programmes enabling the state of the marine waters concerned to be assessed on a regular basis. Criteria and methodological standards on GES of marine waters were published in 2010 (Commission Decision 2010\/477\/EU). Two indicators were described for Descriptor 11 (Noise\/Energy): Indicator 11.1.1 on low and mid frequency impulsive sounds and Indicator 11.2.1 on continuous low frequency sound (ambient noise). As a follow up to the Commission Decision, the Marine Directors in 2010 agreed to establish a Technical Subgroup (TSG) for further development of Descriptor 11 Noise\/Energy. TSG (Underwater) Noise in 2011 focused on clarifying the purpose, use and limitation of the indicators and described methodology that would be unambiguous, effective and practicable; the first report [Van der Graaf et al., 2012]1 was delivered in February 2012. Significant progress was made in the interpretation and practical implementation of the two indicators, and most ambiguities were solved. In December 2011, EU Marine Directors requested the continuation of TSG Noise, and the group was tasked with recommending how MS might best make the indicators of the Commission Decision operational. TSG Noise was asked first to provide monitoring guidance that could be used by MS in establishing monitoring schemes for underwater noise in their marine waters. Further work includes providing suggestions for (future) target setting; for addressing the biological impacts of anthropogenic underwater noise and to evaluate new information on the effects of sound on marine biota with a view to considering indicators of noise effects. The present document is Part I of the Monitoring Guidance for Underwater Noise in European Seas and provides MS with the information needed to commence the monitoring required to implement this aspect of MSFD. TSG Noise has focused on ambiguities, uncertainties and other shortcomings that may hinder monitoring initiatives and has provided solutions, and describes methodology for monitoring both impulsive and ambient noise in such a way that information needed for management and policy can be collected in a cost-effective way. TSG Noise has no doubt that further issues will arise once monitoring starts, but hopes the principles laid out in this guidance will help resolve these. The Monitoring Guidance for Underwater Noise is structured, as follows: - Part I: Executive Summary & Recommendations, - Part II: Monitoring Guidance Specifications,and - Part III: Background Information and Annexes. Part I of the Monitoring Guidance is the executive summary for policy and decision makers responsible for the adoption and implementation of MSFD at national level. It provides the key conclusions and recommendations presented in Part II that support the practical guidance for MS and will, enable assessment of the current level of underwater noise. Part II, is the main report of the Monitoring Guidance. It provides specifications for the monitoring of underwater noise, with dedicated sections on impulsive noise (Criterion 11.1 of the Commission Decision) and ambient noise (Criterion 11.2 of the Commission Decision) registration. Part III, the background information and annexes, is not part of the guidance, but is added for additional information, examples and references that support the Monitoring Guidance specifications. - , - Published - , - Refereed - , - Current - , - 14.1 - , - Ocean sound - , - Mature - , - Best Practice - , - Standard Operating Procedure - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1235", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1235", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1235", "url": "https:\/\/hdl.handle.net\/11329\/1235" }, "author": [ { "@type": "Person", "name": "Dekeling, R.P.A." }, { "@type": "Person", "name": "Tasker, M.L." }, { "@type": "Person", "name": "Van der Graaf, A.J." }, { "@type": "Person", "name": "Ainslie, M.A." }, { "@type": "Person", "name": "Andersson, M.H." }, { "@type": "Person", "name": "Andr\u00e9, M." }, { "@type": "Person", "name": "Borsani, J.F." }, { "@type": "Person", "name": "Brensing, K." }, { "@type": "Person", "name": "Castellote, M." }, { "@type": "Person", "name": "Cronin, D." }, { "@type": "Person", "name": "Dalen, J." }, { "@type": "Person", "name": "Folegot, T." }, { "@type": "Person", "name": "Leaper, R." }, { "@type": "Person", "name": "Pajala, J." }, { "@type": "Person", "name": "Redman, P." }, { "@type": "Person", "name": "Robinson, S.P." }, { "@type": "Person", "name": "Sigray, P." }, { "@type": "Person", "name": "Sutton, G." }, { "@type": "Person", "name": "Thomsen, F." }, { "@type": "Person", "name": "Werner, S." }, { "@type": "Person", "name": "Wittekind, D." }, { "@type": "Person", "name": "Young, J.V." } ], "contributor": [ { "@type": "Organization", "name": "Publications Office of the European Union" } ], "keywords": [ "Underwater noise", "Marine Strategy Framework Directive (MSFD)", "TSG Noise", "Ambient noise", "Parameter Discipline::Physical oceanography::Acoustics", "Instrument Type Vocabulary::acoustic backscatter sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/657", "name": "Protocols and Procedures for OOI Data Products: QA, QC, Calibration, Physical Samples. Version 1.22.", "description": " - The purpose of this document is to describe the Protocols and Procedures for Quality Assurance (QA) and Quality Control (QC) for the Ocean Observatories Initiative (OOI) data and data products and physical samples. This includes calibration and field verification procedures. This is a \u201cliving document. \u201d Updates are anticipated, as procedures are refined during the construction and operations and maintenance phases. - , - Published - , - Refereed - , - Current - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Standard Operating Procedure - , - Manual - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/657", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/657", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/657", "url": "https:\/\/hdl.handle.net\/11329\/657" }, "contributor": [ { "@type": "Organization", "name": "Consortium for Ocean Leadership for Ocean Observatories Initiative" } ], "keywords": [ "Parameter Discipline::Physical oceanography", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1289", "name": "Responding to a sargassum influx. [poster]", "description": " - If sargassum appears on your beach, what you do next can be good or bad for the beach and business. Important lessons have been learned. - , - Published - , - Refereed - , - Current - , - 14.2 - , - Macroalgal canopy cover and composition - , - Best Practice - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1289", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1289", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1289", "url": "https:\/\/hdl.handle.net\/11329\/1289" }, "author": [ { "@type": "Person", "name": "Doyle, E." }, { "@type": "Person", "name": "Franks, J." }, { "@type": "Person", "name": "Oxenford, Helen" } ], "contributor": [ { "@type": "Organization", "name": "Gulf and Caribbean Fisheries Institute." } ], "keywords": [ "Sargassum", "Seaweed", "Influx", "Disposal", "Mitigation", "Beach cleanup", "Transport", "Removal from shallow water", "Management", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2350", "name": "Monitoring marine litter impacts on sea turtles. Protocol for the collection of data on ingestion and entanglement in the loggerhead turtle (Caretta caretta Linnaeus, 1758). Version 1.", "description": " - The following protocol is intended to respond to the MSFD requirements for the indicator 10.2.1 \u201cTrends in the amount and composition of litter ingested by marine animals\u201d. The INDICIT program proposed marine turtles as an indicator species to study marine litter ingestion on biota through the development and the implementation of one major indicator \u201cLitter ingested by sea turtles\u201d. Standardized methodologies for extracting litter ingested from dead and live individuals are exposed in this document. Some modifications have been conducted from the original methodology drafted and tested in Italy since 2012 (Matiddi et al., 2011; MSFD TG Litter, 2013), following the first applications (Camedda et al., 2014; Matiddi et al., 2017) and within the European Project INDICIT (GA n\u00b011.0661\/2016\/748064\/SUB\/ENV.C2) as well as thanks to the feedbacks of rescue centres and stranding networks. Both \u201cbasic\u201d and \u201coptional\u201d parameters are proposed to be collected. The basic parameters (thereafter noted in bold) correspond to the minimum parameters fundamental to determine the indicator criteria. The optional parameters (thereafter noted in bold italic grey) allow acquiring more knowledge on loggerheads\u2019 behaviour and probability to ingest debris and better specify the indicator criteria in development. The optional parameters can also help to better assess the relevance of two new indicators on litter impacts for which pilot studies are in process (\u201cEntanglement with marine debris by biota\u201d and \u201cMicro-plastic debris ingested by sea turtle and fish\u201d). Following the MSFD Technical sub-group on Marine litter (Galgani et al., 2013) and the new Commission Decision (Decision 2017\/848 of the 17th March 2017), the minimum size of litter items considered for the indicator \u201cLitter ingested by sea turtles\u201d is 1 mm, thus including both micro (1-5 mm) and macro-plastics (> 5 mm). An observation sheet is provided in Appendix. In order to facilitate banking and statistical analysis, data must be filled in the INDICIT corresponding standardized table, by respecting the units and proposed menu choices, and specifying remarks or other proposals in the last column \u201cNote\u201d. All boxes must be filled, either by the information (data) or by 0 or \u201cNA\u201d (information not available or not evaluated). - , - European Union - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Validated (tested by third parties) - , - Multi-organisational - , - Method - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2350", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2350", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2350", "url": "https:\/\/hdl.handle.net\/11329\/2350" }, "contributor": [ { "@type": "Organization", "name": "INDICIT Consortium" } ], "keywords": [ "Loggerhead sea turtles", "Marine Strategy Framework Directive (MSFD)", "Marine litter", "Anthropogenic contamination", "Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1295", "name": "Golden Tides: Problem or Golden Opportunity? The Valorisation of Sargassum from Beach Inundations.", "description": " - In recent years there have been massive inundations of pelagic Sargassum, known as golden tides, on the beaches of the Caribbean, Gulf of Mexico, andWest Africa, causing considerable damage to the local economy and environment. Commercial exploration of this biomass for food, fuel, and pharmaceutical products could fund clean-up and offset the economic impact of these golden tides. This paper reviews the potential uses and obstacles for exploitation of pelagic Sargassum. Although Sargassum has considerable potential as a source of biochemicals, feed, food, fertiliser, and fuel, variable and undefined composition together with the possible presence of marine pollutants may make golden tides unsuitable for food, nutraceuticals, and pharmaceuticals and limit their use in feed and fertilisers. Discontinuous and unreliable supply of Sargassum also presents considerable challenges. Low-cost methods of preservation such as solar drying and ensiling may address the problem of discontinuity. The use of processes that can handle a variety of biological and waste feedstocks in addition to Sargassum is a solution to unreliable supply, and anaerobic digestion for the production of biogas is one such process. More research is needed to characterise golden tides and identify and develop commercial products and processes. - , - Refereed - , - 14.2 - , - Macroalgal canopy cover and composition - , - Manual (incl. handbook, guide, cookbook etc) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1295", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1295", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1295", "url": "https:\/\/hdl.handle.net\/11329\/1295" }, "author": [ { "@type": "Person", "name": "Milledge, John J." }, { "@type": "Person", "name": "Harvey, Patricia J." } ], "keywords": [ "Sargassum", "Seaweed", "Beach-cast", "Macroalgae", "Golden tide", "Parameter Discipline::Biological oceanography::Macroalgae and seagrass" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/870", "name": "National Reference Stations Biogeochemical Operations Manual Version 3.2.1.[SUPERSEDED by http:\/\/dx.doi.org\/10.25607\/OBP-559]", "description": " - This manual outlines best-practice techniques in biogeochemical and blue-water oceanography for ensuring the output of reliable, quality data to the end-user community. The aim is for sampling, analytical, and reporting standards to be at least equivalent to: the WOCE (World Ocean Circulation Experiment) and JGOFS (Joint Global Ocean Flux Study) studies. - , - Published - , - Refereed - , - Superseded - , - 14 - , - Phytoplankton biomass and diversity - , - Zooplankton biomass and diversity - , - Microbe biomass and diversity - , - Oxygen - , - Nutrients - , - Subsurface salinity - , - Particulate matter - , - Inorganic carbon - , - Fish abundance and distribution - , - Subsurface temperature - , - Ocean colour - , - TRL 8 Actual system completed and \"mission qualified\" through test and demonstration in an operational environment (ground or space) - , - Manual - , - 2019-01 - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/870", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/870", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/870", "url": "https:\/\/hdl.handle.net\/11329\/870" }, "contributor": [ { "@type": "Organization", "name": "Integrated Marine Observing System (IMOS)" } ], "keywords": [ "Parameter Discipline::Biological oceanography", "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Physical oceanography", "Instrument Type Vocabulary::CTD", "Instrument Type Vocabulary::discrete water samplers", "Instrument Type Vocabulary::plankton nets", "Data Management Practices::Data quality control", "Data Management Practices::Data quality management", "Data Management Practices::Data acquisition", "Data Management Practices::Data analysis", "Data Management Practices::Data processing" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/847", "name": "Oil spill response capabilities and technologies for ice-covered Arctic marine waters: a review of recent developments and established practices.", "description": " - Renewed political and commercial interest in the resources of the Arctic, the reduction in the extent and thickness of sea ice, and the recent failings that led to the Deepwater Horizon oil spill, have prompted industry and its regulatory agencies, governments, local communities and NGOs to look at all aspects of Arctic oil spill countermeasures with fresh eyes. This paper provides an overview of present oil spill response capabilities and technologies for ice-covered waters, as well as under potential future conditions driven by a changing climate. Though not an exhaustive review, we provide the key research results for oil spill response from knowledge accumulated over many decades, including significant review papers that have been prepared as well as results from recent laboratory tests, field programmes and modelling work. The three main areas covered by the review are as follows: oil weathering and modelling; oil detection and monitoring; and oil spill response techniques. - , - Refereed - , - 14,1 - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/847", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/847", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/847", "url": "https:\/\/hdl.handle.net\/11329\/847" }, "author": [ { "@type": "Person", "name": "Wilkinson, J." }, { "@type": "Person", "name": "Beegle-Krause, C.J." }, { "@type": "Person", "name": "Evers, K. U." }, { "@type": "Person", "name": "Hughes, N." }, { "@type": "Person", "name": "Lewis, A." }, { "@type": "Person", "name": "Reed, M." }, { "@type": "Person", "name": "Wadhams, P." } ], "keywords": [ "Oil spills", "Oil pollution", "Sea ice", "Arctic Ocean" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1376", "name": "Calibration Specification for Seawater pH Analyzer.", "description": " - This specification is applicable to the calibration of seawater pH analyzers. - , - Published - , - Refereed - , - Current - , - 14.A - , - TRL 2 Technology concept and\/or application formulated - , - Best Practice - , - Standard - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1376", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1376", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1376", "url": "https:\/\/hdl.handle.net\/11329\/1376" }, "author": [ { "@type": "Person", "name": "Shi, Chaoying" }, { "@type": "Person", "name": "Wang, Cong" }, { "@type": "Person", "name": "Wang, Aijun" } ], "contributor": [ { "@type": "Organization", "name": "State Administration for Market Regulation" } ], "keywords": [ "pH analyzer", "Calibration", "Parameter Discipline::Chemical oceanography::Other inorganic chemical measurements", "Instrument Type Vocabulary::pH sensors" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1701", "name": "MEDIN data guideline for the recording of oceanographic data while underway. Version 4.1.", "description": " - This guideline is a data archive standard for surface oceanographic data collected from instruments fixed on a vessel while underway. Used correctly the guideline facilitates easy use and reuse of the data. A template to record metadata and data is also provided if required. - , - Published - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1701", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1701", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1701", "url": "https:\/\/hdl.handle.net\/11329\/1701" }, "author": [ { "@type": "Person", "name": "Charlesworth, M." } ], "contributor": [ { "@type": "Organization", "name": "MEDIN" } ], "keywords": [ "CTD", "Oceanography", "Underway", "Salinity", "Conductivity", "Temperature", "Depth", "DO", "Turbidity", "Fluorescence", "Parameter Discipline::Physical oceanography", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1041", "name": "SeaDataNet metadata profile of ISO 19115, Version 11.0.0.", "description": " - Definition of SeaDataNet metadata profile, according to ISO 19115 international standard specification, Version 11.0.0, January 2019. This document has been drafted in the context of the EU FP7 SeaDataNet project and EU H2020 SeaDataCloud project by CNR. \u201cISO\/IEC Directives, Part 2: Rules for the structure and drafting of International Standards\u201dwas used as a reference for the drafting. - , - Published - , - Current - , - Best Practice - , - Guide - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1041", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1041", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1041", "url": "https:\/\/hdl.handle.net\/11329\/1041" }, "author": [ { "@type": "Person", "name": "Boldrini, Enrico" }, { "@type": "Person", "name": "Nativi, Stefano" } ], "contributor": [ { "@type": "Organization", "name": "SeaDataNet" } ], "keywords": [ "Parameter Discipline::Cross-discipline", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2475", "name": "HELCOM Monitoring Programme topic Litter. Programme: Litter on the seafloor.", "description": " - There is wide experience and data collected on litter in the seafloor and fishing gear\/lost fishing nets in the HELCOM area. Seafloor litter collection is integrated to bottom trawling for fish stocks assessment, so therefore the selection of the sampling stations as well as frequency is associated to the casuistic of the species of interest. Finally, information provided from fishing for litter initiatives contributes to the assessment of the quality of the open water - , - Published - , - Refereed - , - Current - , - 14.1 - , - Marine debris - , - Mature - , - Multi-organisational - , - International - , - Method - , - Specification of criteria - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2475", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2475", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2475", "url": "https:\/\/hdl.handle.net\/11329\/2475" }, "contributor": [ { "@type": "Organization", "name": "HELCOM" } ], "keywords": [ "Sampling", "Monitoring", "Hazardous substances", "Monitoring protocols", "Monitoring guidelines", "Benthic habitat monitoring", "Marine Strategy Framework Directive (MSFD)", "Seafloor litter", "Sediment pollution", "Anthropogenic contamination", "Data acquisition", "Data analysis", "Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/1132", "name": "Indicator Methodology for SDG 14.3.1: Indicator description; Metadata template; Data template; Metadata instructions.[ 4 files]", "description": " - This indicator is based on observations that constrain the carbon system, which are required to capture the variability in ocean acidity at locations providing ocean services. The carbon system in this context refers mainly to the four measurable parameters: pH (the concentration of hydrogen ions on a logarithmic scale), CT (total dissolved inorganic carbon), pCO2 (carbon dioxide partial pressure), and AT (total alkalinity). Ocean acidification is a reduction in the pH of the ocean over an extended period of typically decades or longer, which is caused primarily by uptake of carbon dioxide from the atmosphere1. Ocean services are the benefits the ocean provides to people, which may be recreational, economic, environmental (by providing coastal protection) or cultural. Average2 as used herein is the equally weighted annual mean. A agreed suite of representative sampling stations are sites that: 1) have a measurement frequency adequate to describe variability and trends in carbonate chemistry to deliver critical information on the exposure of and impacts on marine systems to ocean acidification, 2) provide data of sufficient quality and with comprehensive metadata information to enable integration with data from other sites in the country. - , - Published - , - Published as part of UPDATE ON IOC CUSTODIANSHIP ROLE IN RELATION TO SDG 14 INDICATORS IOC\/EC-LI\/2 Annex 6 http:\/\/www.ioc-unesco.org\/index.php?option=com_oe&task=viewDocumentRecord&docID=21938 - , - Current - , - 14.3.1 - , - Inorganic Carbon - , - Dissolved Inorganic Carbon (DIC) - , - TRL 7 System prototyping demonstration in an operational environment (ground or space) - , - Best Practice - , - Total Alkalinity(TA) - , - pH - , - Partial pressure of carbon dioxide (pCO2) - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/1132", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/1132", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/1132", "url": "https:\/\/hdl.handle.net\/11329\/1132" }, "contributor": [ { "@type": "Organization", "name": "International Oceanographic Commission of UNESCO" } ], "keywords": [ "Parameter Discipline::Chemical oceanography", "Parameter Discipline::Cross-discipline", "Data Management Practices::Data acquisition", "Data Management Practices::Data aggregation", "Data Management Practices::Data analysis", "Data Management Practices::Data archival\/stewardship\/curation", "Data Management Practices::Data interoperability development", "Data Management Practices::Data quality control", "Data Management Practices::Data visualization", "Data Management Practices::Metadata management" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/522", "name": "Bio-Optical Sensors on Argo Floats.", "description": " - Biogeochemical processes at the ocean surface have begun to be documented on unprecedented spatial and temporal scales thanks to the advent of satellite ocean-colour radiometry (OCR). These observation techniques have inherent limitations, so in situ data are required to validate the algorithms and to extend the surface properties to the deeper layers. The profiling floats of the Argo array represent a promising technology for future observations in ocean biogeochemistry and bio-optics. Future global observational strategies will rely on bio-optical floats and on their synergetic and integrated use with ocean-colour radiometry (OCR). This report provides recommendations and establishes a framework for the future development of a cost-effective, bio-optical float network corresponding to the needs and expectations of the scientific community. Recommendations range from the identification of key bio-optical measurements to be implemented on floats to the real-time management of the data flux resulting from the deployment of a \"fleet of floats\". - , - IOCCG sponsoring space agencies - , - Published - , - Contributing authors: Stewart Bernard , Jean-Fran\u00e7ois Berthon, Jim Bishop, Emmanuel Boss, Herv\u00e9 Claustre, Christine Coatanoan, Fabrizio D\u2019Ortenzio, Ken Johnson, Aneesh Lotliker, Osvaldo Ulloa - , - Refereed - , - Current - , - ocean colour - , - Best Practice - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/522", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/522", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/522", "url": "https:\/\/hdl.handle.net\/11329\/522" }, "contributor": [ { "@type": "Organization", "name": "International Ocean Colour Coordinating Group (IOCCG)" } ], "keywords": [ "Argo floats", "Parameter Discipline::Biological oceanography", "Instrument Type Vocabulary::continuous water samplers", "Data Management Practices::Data acquisition" ] } }, { "@type": "ListItem", "item": { "@context": { "@vocab": "https:\/\/schema.org\/" }, "@type": "CreativeWork", "@id": "oai:repository.oceanbestpractices.org:11329\/2247", "name": "Developing Autonomous Observing Systems for Micronutrient Trace Metals.", "description": " - Trace metal micronutrients are integral to the functioning of marine ecosystems and the export of particulate carbon to the deep ocean. Although much progress has been made in mapping the distributions of metal micronutrients throughout the ocean over the last 30 years, there remain information gaps, most notable during seasonal transitions and in remote regions. The next challenge is to develop in situ sensing technologies necessary to capture the spatial and temporal variabilities of micronutrients characterized with short residence times, highly variable source terms, and sub-nanomolar concentrations in open ocean settings. Such an effort will allow investigation of the biogeochemical processes at the necessary resolution to constrain fluxes, residence times, and the biological and chemical responses to varying metal inputs in a changing ocean. Here, we discuss the current state of the art and analytical challenges associated with metal micronutrient determinations and highlight existing and emerging technologies, namely in situ chemical analyzers, electrochemical sensors, passive preconcentration samplers, and autonomous trace metal clean samplers, which could form the basis of autonomous observing systems for trace metals within the next decade. We suggest that several existing assets can already be deployed in regions of enhanced metal concentrations and argue that, upon further development, a combination of wet chemical analyzers with electrochemical sensors may provide the best compromise between analytical precision, detection limits, metal speciation, and longevity for autonomous open ocean determinations. To meet this goal, resources must be invested to: (1) improve the sensitivity of existing sensors including the development of novel chemical assays; (2) reduce sensor size and power requirements; (3) develop an open-source \u201cDo-It-Yourself\u201d infrastructure to facilitate sensor development, uptake by end-users and foster a mechanism by which scientists can rapidly adapt commercially available technologies to in situ applications; and (4) develop a community-led standardized protocol to demonstrate the endurance and comparability of in situ sensor data with established techniques. Such a vision will be best served through ongoing collaborations between trace metal geochemists, analytical chemists, the engineering community, and commercial partners, which will accelerate the delivery of new technologies for in situ metal sensing in the decade following OceanObs\u201919. - , - Refereed - , - 14.a - , - Reports with methodological relevance - ", "url": "https:\/\/repository.oceanbestpractices.org\/handle\/11329\/2247", "identifier": { "@id": "https:\/\/hdl.handle.net\/11329\/2247", "@type": "PropertyValue", "propertyID": "https:\/\/hdl.handle.net\/", "value": "11329\/2247", "url": "https:\/\/hdl.handle.net\/11329\/2247" }, "author": [ { "@type": "Person", "name": "Grand, Maxime M." }, { "@type": "Person", "name": "Laes-Huon, Agathe" }, { "@type": "Person", "name": "Fietz, Susanne" }, { "@type": "Person", "name": "Resing, Joseph A." }, { "@type": "Person", "name": "Obata, Hajime" }, { "@type": "Person", "name": "Luther, George W." }, { "@type": "Person", "name": "Tagliabue, Alessandro" }, { "@type": "Person", "name": "Achterberg, Eric P." }, { "@type": "Person", "name": "Middag, Rob" }, { "@type": "Person", "name": "Tovar-S\u00e1nchez, Antonio" }, { "@type": "Person", "name": "Bowie, Andrew R." } ], "keywords": [ "Nutrients", "spectrophotometers", "fluorometers", "chemiluminescence analysers", "Data analysis" ] } } ] }