{"offset":0,"limit":20,"endOfRecords":false,"count":3373,"results":[{"key":"38b4c89f-584c-41bb-bd8f-cd1def33e92f","title":"Artportalen","doi":"10.15468/kllkyl","description":"<p>Artportalen is a website for reporting and retrieving information on observations of Sweden’s plants, animals and fungi. Observations are entered individually or into several thousand subsets/projects (some of which are individually searchable) by individuals and NGOs (95% of data), by public authorities or agencies, and by corporate enterprises. An observation may include not only the species identity, reporter identity, location and date but additional information such as habitat type and weather can also be entered.</p><p>Access to ca. 93% of all data contained in the original dataset is unrestricted, the remainder is data for sensitive species as classified by the national checklist of sensitive species managed by SLU Swedish Species Information Centre. This dataset contains the open data. The restricted data can be retrieved from the original dataset given permission and requiring special log-in credentials.</p><p>Artportalen covers more than 40 000 Swedish species out of the 62 600 recorded in total from the country, including plants (18% of data representing flowering plants and mosses), vertebrates (0.2% fishes and herptiles, 70% birds, 0.4% mammals), invertebrates (8%) and fungi (4%). 81% of all data represent observations made from 2001-present, and almost all remaining observations refer to the period 1951-2000.</p><p>Taxa, nomenclature and hierarchy are sourced from Dyntaxa – the Swedish taxonomic database. Artportalen is developed and operated by the SLU Swedish Species Information Centre (SLU Artdatabanken) at the Swedish University of Agricultural Sciences, on behalf of the Swedish Environmental Protection Agency.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"4c415e40-1e21-11de-9e40-a0d6ecebb8bf","hostingOrganizationTitle":"GBIF-Sweden","hostingCountry":"SE","publishingCountry":"SE","publishingOrganizationKey":"b8323864-602a-4a7d-9127-bb903054e97d","publishingOrganizationTitle":"SLU Artdatabanken","endorsingNodeKey":"a0b3be64-6525-4387-ac67-a499950f92e1","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["Occurrence","Observation","Occurrence","Nature preservation and biodiversity"],"recordCount":118935544,"category":["CitizenScience"]},{"key":"0938172b-2086-439c-a1dd-c21cb0109ed5","title":"The Interim Register of Marine and Nonmarine Genera","doi":"10.15468/6tkudz","description":"<p>The Interim Register of Marine and Nonmarine Genera is a provisional (or ‘interim’) compilation of genus names – including species names in many cases – and covers both living and extinct biota into a single system to support taxonomic and other queries dealing with e.g. homonyms, authorities, parent-child relationships, spelling variations and distinctions between marine and non-marine or fossil and recent taxa</p>","type":"CHECKLIST","hostingOrganizationKey":"2174414a-9b2a-4774-85f1-2a9c54c28ca9","hostingOrganizationTitle":"Australian Ocean Biogeographic Information System (OBIS Australia)","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"2174414a-9b2a-4774-85f1-2a9c54c28ca9","publishingOrganizationTitle":"Australian Ocean Biogeographic Information System (OBIS Australia)","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["clb:type=taxonomic","IRMNG","database","species","online","taxonomic","checklist","inventoryThematic","taxonomicAuthority","globalSpeciesDataset"],"recordCount":0,"nameUsagesCount":563953},{"key":"227eb73f-9b53-4a66-b2ef-e12c960d76ba","title":"Australian Microbiome 16S (Bacteria) Dataset of Aquatic Samples","doi":"10.15468/43twzj","description":"<p>Amplicon sequencing from Australian Aquatic environments</p><p>[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]</p>","type":"OCCURRENCE","hostingOrganizationKey":"5fa89f68-9af0-4a0d-8998-ea39695c1db9","hostingOrganizationTitle":"CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"f188404c-d039-47c2-a74d-9601497a02a8","publishingOrganizationTitle":"Australian Microbiome","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["metabarcoding","DNA","MDT","Occurrence"],"recordCount":34766568,"category":["eDNA"]},{"key":"154d6192-bea0-4bcb-ab58-1c573081591d","title":"Monitoring and Evaluation of Kelp Forest Ecosystems in the MLPA Marine Protected Area Network","doi":"10.25494/p6/mlpa_kelpforest.9","description":"<p>The kelp forest monitoring datasets provided here are assembled from four academic institutions involved in the baseline and long-term monitoring phases of California’s statewide Marine Protection Area implementation and evaluation process. These datasets include the baseline periods for all regions, and additional historical data. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) kelp forest program, administered out of the University of California campuses in Santa Cruz and Santa Barbara and funded primarily by the David and Lucile Packard Foundation, has been monitoring across California since 1999, and with a focus on Marine Protected Areas. The Vantuna Research Group at Occidental College has conducted monitoring in the southern California region since 1966, and has been using similar sampling methods to the PISCO program to monitor kelp forests in the region since the 2004 wide-scale monitoring effort of the Cooperative Research and Assessment of Nearshore Ecosystems (CRANE) Program. Researchers at Humboldt State University began monitoring sites in the north coast region in 2014 and 2015 using the PISCO sampling methodology. Data have been integrated across all four programs. To comprehensively and quantitatively characterize the ecological community and geological features at each kelp forest site, four different sampling methods are employed, all of which are conducted visually by SCUBA divers. Fish transects and benthic macroalgae and invertebrate transects overlap with, but are spatially distinct from one another. Surveys are conducted annually, during the summer or early fall. Typically, two to four sites inside a given MPA and two to four sites outside of the MPA are surveyed in a given year, with the number and shape of sites varying depending on habitat (e.g. onshore-offshore steepness of the reef) and longshore width of the MPA. Sampling history varies by program, MPA, and sampling site. We strongly encourage collaboration with the scientists who collect and manage these data and co-authorship when appropriate, and request that the Data User contact the dataset authors to minimize duplicative efforts. The Data User should realize that these data are likely being actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. Please use this form as an initial method of contact: https://docs.google.com/forms/d/e/1FAIpQLSct8vbkyM3l36GjQ0Uq6E50oeCQWlW7682DYecXnTfxpmzlUQ/viewform </p><p>The Data User is urged to contact the authors of these data if any questions about methodology or results occur. The Data User has an ethical obligation to cite the data source appropriately in any publication or product that results from its use, and notify the dataset authors. A recommended citation for the data package is available from the download page. Please send copies of any published manuscript based on these data to the data contact and data creator. The Data User should be aware that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. Extensive efforts are made to ensure that online data are accurate and up to date, but the authors will not take responsibility for any errors that may exist in data provided online. Furthermore, the Data User assumes all responsibility for errors in analysis or judgment resulting from use of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data.</p>","type":"SAMPLING_EVENT","subtype":"OBSERVATION","hostingOrganizationKey":"c3ad790a-d426-4ac1-8e32-da61f81f0117","hostingOrganizationTitle":"United States Geological Survey","hostingCountry":"US","publishingCountry":"US","publishingOrganizationKey":"1d38bb22-cbea-4845-8b0c-f62551076080","publishingOrganizationTitle":"NOAA Integrated Ocean Observing System","endorsingNodeKey":"8618c64a-93e0-4300-b546-7249e5148ed2","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[1990,2000,2010,2020],"keywords":["Samplingevent","Scuba","Algae","MPA research & monitoring","MPA network","Biological data","Kelp forest/shallow subtidal","North Central Coast","Marine protected area (MPA)","MPA monitoring Action Plan","Central Coast","Rocky reef","North Coast","Baseline MPA monitoring","South Coast","Fish","Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)","Invertebrates","Observation"],"recordCount":32015548},{"key":"9fc74265-28a7-4d62-97ea-33eb5588562e","title":"Australian Microbiome 18S (Eukaryote) Dataset of Aquatic Samples","doi":"10.15468/3s7eec","description":"<p>Amplicon sequencing from Australian Aquatic environments</p><p>[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]</p>","type":"OCCURRENCE","hostingOrganizationKey":"5fa89f68-9af0-4a0d-8998-ea39695c1db9","hostingOrganizationTitle":"CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"f188404c-d039-47c2-a74d-9601497a02a8","publishingOrganizationTitle":"Australian Microbiome","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["metabarcoding","DNA","MDT","Occurrence"],"recordCount":10868179,"category":["eDNA"]},{"key":"4f70108a-dda7-4e8b-8298-babaee5182c3","title":"Bird Ringing Centre in Sweden (NRM)","doi":"10.15468/cghs8p","description":"<p>This database contains information about bird ringing in Sweden.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"4c415e40-1e21-11de-9e40-a0d6ecebb8bf","hostingOrganizationTitle":"GBIF-Sweden","hostingCountry":"SE","publishingCountry":"SE","publishingOrganizationKey":"6ba9a8cc-513a-4a51-bf93-6f5de8040a96","publishingOrganizationTitle":"Swedish Museum of Natural History","endorsingNodeKey":"a0b3be64-6525-4387-ac67-a499950f92e1","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["Occurrence","Occurrence","Observation"],"recordCount":9700374},{"key":"2ee8b795-6d1c-4a91-9316-5258febe077d","title":"Australian Microbiome 16S (Archaea) Dataset of Aquatic Samples","doi":"10.15468/qys33g","description":"<p>Amplicon sequencing from Australian Aquatic environments</p><p>[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]</p>","type":"OCCURRENCE","hostingOrganizationKey":"5fa89f68-9af0-4a0d-8998-ea39695c1db9","hostingOrganizationTitle":"CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"f188404c-d039-47c2-a74d-9601497a02a8","publishingOrganizationTitle":"Australian Microbiome","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["metabarcoding","DNA","MDT","Occurrence"],"recordCount":5435834,"category":["eDNA"]},{"key":"3470d506-e667-4e3f-b178-819669684c05","title":"European Seabirds At Sea (ESAS)","doi":"10.14284/601","description":"<p>&lt;a href&#61;&#34;https://esas.ices.dk/&#34;&gt;European Seabirds At Sea (ESAS)&lt;/a&gt; assembles offshore monitoring data on seabirds and marine mammals. This international database mostly includes data from the North Sea, yet large parts of the northeastern Atlantic Ocean are covered as well. It finds its origin in the &#39;Seabirds at Sea&#39; project, which was initiated in 1979 following the discovery of major oil potential in the North Sea and an urgent need to gain more knowledge on the occurrence and distribution of seabirds in their offshore habitat. This led to the execution of large-scale ship-based surveys across the North Sea using a standardized data collection method and a first European-wide data assembly in 1991.</p><p>ESAS data are collected by various partners during aerial or ship-based surveys at sea and according to a methodology that allows to calculate georeferenced seabird densities. Standard practice further implies collecting as much information as possible on animal age, plumage and behaviour as well as observation conditions and distance to the observed individuals.</p><p>As part of the WOZEP research project, ESAS data were migrated in 2022 from its former host JNCC (UK) to ICES. The ICES infrastructure allows partners to submit new data and users to download or request data. The transformation of these data to Darwin Core is described at &lt;a href&#61;&#34;https://github.com/inbo/esas2obis&#34;&gt;https://github.com/inbo/esas2obis&lt;/a&gt;</p>","type":"SAMPLING_EVENT","hostingOrganizationKey":"2089ce96-4fb5-4a20-999c-3ccf45a27a4d","hostingOrganizationTitle":"Flanders Marine Institute","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"2089ce96-4fb5-4a20-999c-3ccf45a27a4d","publishingOrganizationTitle":"Flanders Marine Institute","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["Occurrence","Observation"],"recordCount":2788744},{"key":"bed78790-cbec-44af-82af-fe78e9692287","title":"Environmental Monitoring database (MOD) DNV","doi":"10.15468/q8qykg","description":"<p>DNV is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV operates in the oil, gas, and renewable energy sectors.</p>\n<p>The data produced by DNV is stored in their own Environmental Monitoring database (MOD). It comprises approximately 2.8 million species occurrence records, as well as chemical and geology records. This information comes from grab sampling conducted in areas around oil drilling stations. GBIF Norway is working with DNV to publish the species abundance data in the MOD database.</p>\n<p>The grab sampling process is done on a yearly basis around the months of May and June, but not all stations are sampled each year. In general sampling is done around each station every third year, and in some areas samples have been repeated since the 1990s.</p>","type":"SAMPLING_EVENT","hostingOrganizationKey":"64795dcb-ad74-41b3-95e5-cc52ba754776","hostingOrganizationTitle":"GBIF Norway","hostingCountry":"NO","publishingCountry":"NO","publishingOrganizationKey":"efc5d3c7-2fec-42dd-85de-078a73973bd1","publishingOrganizationTitle":"DNV","endorsingNodeKey":"4f829580-180d-46a9-9c87-ed8ec959b545","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["openpsd","private-sector","Samplingevent","OpenPSD","private-sector","gbif-cesp","Samplingevent"],"projectIdentifier":"CESP2019-004","recordCount":2372473},{"key":"b86fe411-8e62-4cd0-aab2-914d75401598","title":"The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research","doi":"10.4225/15/5afcb927e8162","description":"<p>The Southern Ocean is a remote, hostile environment where conducting marine biology is challenging, so we know relatively little about this important region, which is critical as a habitat for breeding and foraging of many marine endotherms.   Scientists from around the world have been tracking seals, penguins, petrels, whales and albatrosses for more than two decades to learn how they spend their time at sea. The Retrospective Analysis of Antarctic Tracking Data (RAATD), was initiated by the SCAR Expert Group on Marine Mammals (EG-BAMM) in 2010. This team has assembled tracking data shared by 38 biologists from 11 different countries to accumulate the largest animal tracking database in the world, containing information from 15 species, containing over 3,400 individual animals and almost 2.5 million at-sea locations. Analysing a dataset of this size brings its own challenges and the team is developing new and innovative statistical approaches to integrate these complex data. When complete RAATD will provide a greater understanding of fundamental ecosystem processes in the Southern Ocean, help predict the future of top predator distribution and help with spatial management planning.</p>","type":"SAMPLING_EVENT","hostingOrganizationKey":"fb10a11f-4417-41c8-be6a-13a5c8535122","hostingOrganizationTitle":"Antarctic Biodiversity Information Facility (ANTABIF)","hostingCountry":"AQ","publishingCountry":"GB","publishingOrganizationKey":"104e9c96-791b-4f14-978c-f581cb214912","publishingOrganizationTitle":"SCAR - AntOBIS","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["8534dd20-c368-4a1f-bdaf-e6b390710f89","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[1990,2000,2010],"keywords":["Occurrence","ANIMAL ECOLOGY AND BEHAVIOR\nBIRDS\nALBATROSSES/PETRELS AND ALLIES\nPENGUINS\nMAMMALS\nSEALS/SEA LIONS/WALRUSES\nBALEEN WHALES","Samplingevent"],"projectIdentifier":"RAATD","recordCount":2331595,"category":["Tracking"]},{"key":"355b8ff9-7bd9-49c3-92af-f6741b8bd0cb","title":"LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)","doi":"10.5281/zenodo.12336021","description":"<p><b>LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)</b> is a bird tracking dataset published by the <a href=\"https://www.inbo.be/en\">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href=\"http://lifewatch.be/en/gps-tracking-network-large-birds\">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <b>LBBG_ZEEBRUGGE</b>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href=\"http://www.uva-bits.nl\">http://www.uva-bits.nl</a>). The study has been operational from 2013 until 2023. In total 162 individuals of lesser black-backed gull (<b>Larus fuscus</b>) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href=\"https://github.com/inbo/bird-tracking\">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p><p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p><p>Data have been standardized to Darwin Core using the <a href=\"https://inbo.github.io/movepub/\">movepub</a> R package and are downsampled to the first GPS position per hour. The original data are available in Stienen et al. (2024, <a href=\"https://doi.org/10.5281/zenodo.12336021\">https://doi.org/10.5281/zenodo.12336021</a>), a deposit of Movebank study <a href=\"https://www.movebank.org/cms/webapp?gwt_fragment&#61;page&#61;studies,path&#61;study985143423\">985143423</a>.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","networkKeys":["ab013f3a-3c00-42cb-9fdb-cb5f4ba20a4b","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["gps tracking","altitude","UvA-BiTS","frictionlessdata","animal movement","animal tracking","accelerometer","temperature","LifeWatch","Movebank","birds","biologging","Occurrence","Observation"],"recordCount":1801214,"category":["Tracking"]},{"key":"01f868e3-be61-436a-a94a-07e7c9e63796","title":"ANEMOON Beach washup monitoring  (SMP) data along the Dutch coastline  collected through citizen science.","doi":"10.15468/zey5uw","description":"The SMP data originates from the Strandaanspoelsel (beach washup) Monitoring Project \n(SMP), a citizen science project executed by Stichting ANEMOON. Data dates back to \n1977 and new data will keep on being added as long as there are sufficient citizen \nscientists. The data is from eight locations scattered along the Dutch coastline. On \nthese locations, all washed-up marine organisms and remains are determined and \ncounted on a biweekly or monthly basis. Macroalgae, Cnidarians, Gastropods, \nCephalopods, Bivalves, Crustaceans, Echinoderms, Shark and Ray egg capsules and \nBryozoans are noted at species level.","type":"SAMPLING_EVENT","hostingOrganizationKey":"cace8d10-2646-11d8-a2da-b8a03c50a862","hostingOrganizationTitle":"Netherlands Biodiversity Information Facility (NLBIF)","hostingCountry":"NL","publishingCountry":"NL","publishingOrganizationKey":"9e40c6d1-3bde-4617-83e9-d4b2bdbd5a2f","publishingOrganizationTitle":"stichting ANEMOON","endorsingNodeKey":"0909d601-bda2-42df-9e63-a6d51847ebce","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["Citizen science","Occurrence"],"recordCount":1625592,"category":["CitizenScience"]},{"key":"39ca385b-6f25-402c-aa92-a76c89ecda0a","title":"DELTATRACK - Herring gulls (Larus argentatus, Laridae) and lesser black-backed gulls (Larus fuscus, Laridae) breeding at Neeltje Jans (Netherlands)","doi":"10.5281/zenodo.15696782","description":"<p><b>DELTATRACK - Herring gulls (Larus argentatus, Laridae) and lesser black-backed gulls (Larus fuscus, Laridae) breeding at Neeltje Jans (Netherlands)</b> is a bird tracking dataset published by the <a href=\"https://www.inbo.be/en\">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data for the project/study <b>DELTATRACK</b>, using trackers developed by Ornitela (<a href=\"https://www.ornitela.com\">https://www.ornitela.com</a>). The study has been operational since 2020. In total 99 individuals of European herring gull (<b>Larus argentatus</b>) and lesser black-backed gull (<b>Larus fuscus</b>) have been tagged in the breeding colony at Neeltje Jans in the Netherlands, mainly to study their use of offshore waters near the Borssele windpark. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href=\"https://github.com/inbo/bird-tracking\">https://github.com/inbo/bird-tracking</a>).</p><p>This dataset was collected by the Research Institute for Nature and Forest (INBO), Waardenburg Ecology, Buijs Eco Consult and Deltamilieu Projecten. Funding was provided by the Wozep programme of Rijkswaterstaat on behalf of the Ministry of Economic Affairs of the Netherlands. All datasets from Wozep will be made publicly available, unless stated otherwise.</p><p>Data have been standardized to Darwin Core using the <a href=\"https://inbo.github.io/movepub/\">movepub</a> R package and are downsampled to the first GPS position per hour. The original data are available in Stienen et al. (2025, <a href=\"https://doi.org/10.5281/zenodo.15696782\">https://doi.org/10.5281/zenodo.15696782</a>), a deposit of Movebank study <a href=\"https://www.movebank.org/cms/webapp?gwt_fragment&#61;page&#61;studies,path&#61;study1258895879\">1258895879</a>.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","networkKeys":["ab013f3a-3c00-42cb-9fdb-cb5f4ba20a4b","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["gps tracking","altitude","Ornitela","frictionlessdata","animal movement","animal tracking","temperature","Movebank","birds","biologging","Occurrence","Observation"],"recordCount":1596580,"category":["Tracking"]},{"key":"3f4d4bf1-5f9a-43f2-a0d8-ff6ed5952796","title":"IMOS - Animal Tracking Facility - Acoustic Tracking - Quality Controlled Detections (2007 -2021)","doi":"10.15468/3h7tnh","description":"<p>Over the last decade, the Integrated Marine Observing System’s Animal Tracking Facility (IMOS ATF) has established a permanent array of acoustic receivers around Australia to detect the movements of tagged marine animals in coastal waters. Simultaneously, IMOS ATF developed a centralised national database (https://animaltracking.aodn.org.au/) to encourage collaborative research across the user community and provide unprecedented opportunities to quantify individual behaviour across a broad range of taxa. Here we present the database and quality control procedures developed to collate 67 million valid detections from 1891 receiving stations. This dataset consists of detection data for 7800 tags deployed on 154 species (fish, sharks, rays, reptiles, and mammals), with distances traveled ranging from a few to thousands of kilometres. This dataset of acoustic detections 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.</p>\n<p>This copy of the IMOS ATF data is of the valid detections downloaded via the IMOS Animal Tracking Portal at https://animaltracking.aodn.org.au/detection. This dataset has been summarized by reducing the detection records to the count of detections per animal per site per day (UTC). The DwC field organismId has been used to record the transmitter serial number. The initial deployment/release of the animal has also been added to the dataset via EMoF using an occurrenceId of the transmitter tag with a postfix of &#39;-release&#39;. Parameters include transmitter type, length and weight of the released animal.</p>\n<p>Downloads of the detection, deployments and receiver stations are  from https://animaltracking.aodn.org.au/detection accessed in 2021-01-04</p>","type":"OCCURRENCE","hostingOrganizationKey":"5fa89f68-9af0-4a0d-8998-ea39695c1db9","hostingOrganizationTitle":"CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)","hostingCountry":"AU","publishingCountry":"AU","publishingOrganizationKey":"5fa89f68-9af0-4a0d-8998-ea39695c1db9","publishingOrganizationTitle":"CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC)","endorsingNodeKey":"4a6f1b71-969e-4fc5-a693-282b05e1220c","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2000,2010,2020],"keywords":["Occurrence","Observation","Occurrence"],"recordCount":1546540,"category":["Tracking"]},{"key":"df8e3fb8-3da7-4104-a866-748f6da20a3c","title":"NOAA, Deep-Sea Coral Research and Technology Program","doi":"10.15468/aqbftj","description":"<p>NOAA’s Deep-Sea Coral Research and Technology Program (DSC-RTP) has compiled a national database of the known locations of deep-sea corals and sponges in U.S. territorial waters and beyond. The database is comprehensive, standardized, quality controlled, and networked to outside resources. The database schema accommodates both linear (trawls, transects) and point (samples, observations) data. The structure of the database is tailored to occurrence records of all the azooxanthellate corals, a subset of all corals, and all sponge species. Fish records are also included when annotated along with coral and sponge occurrences. Records shallower than 50 m are generally excluded in order to focus on predominantly deep-water species – the mandate of the DSC-RTP. The intention is to limit the overlap with light-dependent (and mostly shallow-water) corals. Query, visualize, and download data in its native format by visiting our map and data portal: <a href=\"https://www.ncei.noaa.gov/maps/deep-sea-corals-portal/\">Deep-Sea Corals Map Portal</a>. For advanced data query and data download, please visit our ERDDAP data access form: <a href=\"https://www.ncei.noaa.gov/erddap/tabledap/deep_sea_corals.html\">ERDDAP Data Access Form</a>. To learn more about NOAA&#39;s National Database for Deep-Sea Corals and Sponges, visit our website: <a href=\"https://deepseacoraldata.noaa.gov/data\">NOAA Deep-Sea Coral Research and Technology Program </a>.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"c3ad790a-d426-4ac1-8e32-da61f81f0117","hostingOrganizationTitle":"United States Geological Survey","hostingCountry":"US","publishingCountry":"US","publishingOrganizationKey":"c3ad790a-d426-4ac1-8e32-da61f81f0117","publishingOrganizationTitle":"United States Geological Survey","endorsingNodeKey":"8618c64a-93e0-4300-b546-7249e5148ed2","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[1840,1850,1860,1870,1880,1890,1900,1910,1920,1930,1940,1950,1960,1970,1980,1990,2000,2010,2020],"keywords":["Occurrence","Observation","Occurrence"],"projectIdentifier":"DSC-RTP","recordCount":1439645},{"key":"38179dfb-3b50-446d-998a-99ea8f39ebd7","title":"Quoddy Region Pelagics Telemetry","doi":"10.14286/xfa6sr","description":"<p>This is the OBIS extraction of the Ocean Tracking Network  and Department of Fisheries and Oceans Canada (DFO)  Quoddy Region Pelagics Telemetry, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals.\n    If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode&#61;PBSM).</p><p>Abstract:The project (Quoddy Region Pelagics Telemetry) will support the assessment of the effects of aquaculture on the distribution and abundance of pelagic fishes (salmon, mackerel, herring) and large predators (shark, marine mammals) in Passamaquoddy Bay and the Bay of Fundy, an area of intense finfish culture. An acoustic receivers network is placed yearly (from April to December) across various passageways, locations of project-specific interest, and at aquaculture sites in the region. Tagged pelagic species will be tracked through the network to provide information on migration routes, movement speed, survival rates and suspected predators, and determine interaction and residence at aquaculture sites. The network was utilized for monitoring the passage of: hatchery-reared wild salmon (n&#61;340) released in the Magaguadavic River in 2018, 2019 and 2021, wild alewives (n&#61;30) from the St. Croix River in 2021, and farmed Atlantic salmon released in the wild (n&#61;99) in 2021. The receiver network has more recently supported adjacent projects on the use of the region by white shark and porbeagle as well as the residence of mackerel, herring, and sculpin at farm sites. The receivers additionally support other researchers with detection of striped bass, Inner Bay of Fundy Atlantic salmon, sturgeon, and many other species. Placement of the network will continue into 2025 inclusive with the longer-term goal to eventually deploy an array covering the entrance to the Bay of Fundy.  ##### Le projet (Quoddy Region Pelagics Telemetry) soutiendra l&#39;évaluation des effets de l&#39;aquaculture sur la distribution et l&#39;abondance des poissons pélagiques (saumon, maquereau, hareng) et des grands prédateurs (requin, mammifères marins) dans l&#39;extérieur de la baie de Passamaquoddy et la baie de Fundy, une zone de pisciculture intense. Un réseau de récepteurs acoustiques est placé chaque année (d&#39;avril à décembre) dans divers passages, emplacements d&#39;intérêt spécifique au projet et sur des sites d&#39;aquaculture de la région. Les espèces pélagiques marquées seront suivies à travers le réseau pour fournir des informations sur les voies de migration, la vitesse de déplacement, les taux de survie et les prédateurs présumés, et déterminer l&#39;interaction et la résidence aux sites d&#39;aquaculture. Le réseau a été utilisé pour déterminer le passage de : saumons d&#39;écloserie (n &#61; 340) relâchés dans la rivière Magaguadavic en 2018, 2019 et 2021, gaspareaux sauvages (n &#61; 30) de la rivière Sainte-Croix en 2021 et saumons atlantiques d&#39;aquaculture relâchés en milieu naturel (n&#61;99) en 2021. Plus récemment, le réseau receveur a soutenu des projets adjacents sur l&#39;utilisation de la région par le requin blanc et la maraîche ainsi que la résidence du maquereau, du hareng et du chabot sur les sites d&#39;élevage. Les récepteurs aident également d&#39;autres chercheurs à détecter le bar rayé, le saumon de l&#39;intérieur de la baie de Fundy, l&#39;esturgeon et de nombreuses autres espèces. Le placement du réseau se poursuivra jusqu&#39;en 2025 inclusivement avec l&#39;objectif à plus long terme de déployer un réseau couvrant l&#39;embouchure de la baie de Fundy.</p>","type":"SAMPLING_EVENT","hostingOrganizationKey":"6772852d-ca2e-496f-9bea-dcf86134cb19","hostingOrganizationTitle":"Ocean Tracking Network","hostingCountry":"CA","publishingCountry":"CA","publishingOrganizationKey":"6772852d-ca2e-496f-9bea-dcf86134cb19","publishingOrganizationTitle":"Ocean Tracking Network","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["ab013f3a-3c00-42cb-9fdb-cb5f4ba20a4b","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2010,2020],"keywords":["ACOUSTIC TAGS","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH","Occurrence","Samplingevent"],"projectIdentifier":"Fisheries and Oceans Canada","recordCount":1316629,"category":["Tracking"]},{"key":"93c8cc03-30cf-474e-8173-dbe5a22a5d28","title":"JNCC seabird distribution and abundance data (all trips) from ESAS database","doi":"10.82144/58458ea2","description":"<p>Original provider:\nEuropean Seabirds at Sea\n\nDataset credits:\nJoint Nature Conservation Committee (United Kingdom)\nNederlands Instituut voor Onderzoek der Zee (the Netherlands)\nOrnis Consult (Denmark)\nNational Institute for Coastal and Marine Management/RIKZ (the Netherlands)\nNederlands Zeevogelgroep (the Netherlands)\nInstituut voor Bos- en Natuuronderzoek (the Netherlands)\nInstituut voor Natuur Behoud (Belgium)\nNational Environmental Research Institute (Denmark)\nNorsk Institutt for Naturforskning (Norway)\nVogelwarte Helgoland (Germany)\n\nAbstract:\nThe European Seabirds at Sea (ESAS) database was established in 1991 as a collaboration between individuals and institutes who had collected data on the distribution of seabirds and marine mammals in north-west European offshore areas. The most recent version of this database contains over two million records which were collected over 25 years.\n</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"67b2263f-6990-4d9d-b32b-20aa72ef4fbc","hostingOrganizationTitle":"OBIS-SEAMAP","hostingCountry":"US","publishingCountry":"US","publishingOrganizationKey":"67b2263f-6990-4d9d-b32b-20aa72ef4fbc","publishingOrganizationTitle":"OBIS-SEAMAP","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by-nc/4.0/legalcode","decades":[1970,1980,1990,2000],"keywords":["Occurrence","Observation","Marine Biology","Visual sighting","Vessels","Sightings","seabirds; seabird; sea; ESAS; marine; mammal; cetacean; turtle; offshore; ocean;","Occurrence"],"recordCount":1122886},{"key":"6c860eb3-83ba-48c3-9328-a7b3c7a3c7b4","title":"HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)","doi":"10.5281/zenodo.10054230","description":"<p><b>HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)</b> is a bird tracking dataset published by the <a href=\"https://www.inbo.be/en\">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href=\"http://lifewatch.be/en/gps-tracking-network-large-birds\">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <b>HG_OOSTENDE</b>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href=\"http://www.uva-bits.nl\">http://www.uva-bits.nl</a>). The study was operational from 2013 until 2022. In total 60 individuals of European herring gull (<b>Larus argentatus</b>) have been tagged in or near their breeding area at the southern North Sea coast (Ostend and Zeebrugge in Belgium), mainly to study their habitat use. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href=\"https://github.com/inbo/bird-tracking\">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p><p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p><p>Data have been standardized to Darwin Core using the <a href=\"https://inbo.github.io/movepub/\">movepub</a> R package and are downsampled to the first GPS position per hour. The original data are available in Stienen et al. (2023, <a href=\"https://doi.org/10.5281/zenodo.10054230\">https://doi.org/10.5281/zenodo.10054230</a>), a deposit of Movebank study <a href=\"https://www.movebank.org/cms/webapp?gwt_fragment&#61;page&#61;studies,path&#61;study986040562\">986040562</a>.</p>","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","networkKeys":["ab013f3a-3c00-42cb-9fdb-cb5f4ba20a4b","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","keywords":["gps tracking","altitude","UvA-BiTS","frictionlessdata","animal movement","animal tracking","accelerometer","temperature","LifeWatch","Movebank","birds","biologging","Occurrence","Observation"],"recordCount":1128704,"category":["Tracking"]},{"key":"9b1fd4d7-44a1-4c0e-a7de-c0d31584cf1d","title":"Inner Bay of Fundy Striped Bass","doi":"10.14286/bftrsn","description":"<p>This is the OBIS extraction of the Ocean Tracking Network  and Department of Fisheries and Oceans Canada (DFO)  Inner Bay of Fundy Striped Bass, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals.\n    If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode&#61;IBFS).</p><p>Abstract:The Shubenacadie-Stewiacke rivers system is an important spawning and wintering area for Bay of Fundy (BoF) Striped Bass.  BoF Striped Bass support economically and culturally significant indigenous food fisheries and a large recreational angling fishery. The effects of these fisheries on population status are difficult to assess because of data deficiencies concerning removal rates. This principal objective of this project is to monitor inter-annual total mortality (Z) of striped bass that are &gt; the minimum legal retention size of 68 cm Total Length and to relate the annual rates of annual recruitments as estimated from young-of-the-year abundance surveys and fishery-independent indices of number at age. Acoustic tags with expected operational times exceeding 6 years are used to track individual fish through several spawning and over-wintering cycles. Hydrophones are deployed during April to July in the spawning areas in tidal waters and maintained through the calendar year in the non-tidal section of the Shubenacadie River to monitor annual returns to the spawning and wintering grounds respectively. The acoustic tags and hydrophone array are as well used to support a number of other research and monitoring initiatives including Striped Bass-Atlantic Salmon interactions, and American eel and Atlantic tomcod migration studies.</p>","type":"SAMPLING_EVENT","hostingOrganizationKey":"6772852d-ca2e-496f-9bea-dcf86134cb19","hostingOrganizationTitle":"Ocean Tracking Network","hostingCountry":"CA","publishingCountry":"CA","publishingOrganizationKey":"6772852d-ca2e-496f-9bea-dcf86134cb19","publishingOrganizationTitle":"Ocean Tracking Network","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["ab013f3a-3c00-42cb-9fdb-cb5f4ba20a4b","2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2000],"keywords":["ACOUSTIC TAGS","EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH","Occurrence","Observation","Samplingevent"],"projectIdentifier":"Fisheries and Oceans Canada","recordCount":1114906,"category":["Tracking"]},{"key":"4cefd38b-8ada-46e0-9ef7-3531f8a204df","title":"Data associated with 'A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns'","doi":"10.15468/g7darx","description":"Data associated with &#39;A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns&#39;.\n\nThis is the eDNA dataset associated with the paper linked to this DOI: https://doi.org/10.1098/rspb.2022.2129.","type":"OCCURRENCE","hostingOrganizationKey":"f6b48504-1651-4a49-a88d-c2bc6178694d","hostingOrganizationTitle":"Marine Biological Association","hostingCountry":"GB","publishingCountry":"GB","publishingOrganizationKey":"f6b48504-1651-4a49-a88d-c2bc6178694d","publishingOrganizationTitle":"Marine Biological Association","endorsingNodeKey":"d897a5b9-35ee-4232-94bd-b0bcaac003c2","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["Occurrence"],"recordCount":1068660,"category":["eDNA"]}],"facets":[]}