{"offset":0,"limit":20,"endOfRecords":false,"count":2701,"results":[{"key":"0938172b-2086-439c-a1dd-c21cb0109ed5","title":"The Interim Register of Marine and Nonmarine Genera","doi":"10.15468/6tkudz","description":"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","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":"unspecified","keywords":["clb:type=taxonomic","IRMNG","database","species","online","taxonomic","checklist","inventoryThematic","taxonomicAuthority","globalSpeciesDataset"],"recordCount":0,"nameUsagesCount":544345},{"key":"bed78790-cbec-44af-82af-fe78e9692287","title":"Environmental Monitoring database (MOD) DNV","doi":"10.15468/q8qykg","description":"
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.
\nThe 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.
\nThe 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.
","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,"nameUsagesCount":0},{"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":"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.","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"],"projectIdentifier":"RAATD","recordCount":2331595,"nameUsagesCount":0},{"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) [subsampled representation]","doi":"10.5281/zenodo.6579497","description":"This animal tracking dataset is derived from Stienen et al. (2022, https://doi.org/10.5281/zenodo.6579497) a deposit of Movebank study 985143423. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows.
\nLBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 162 individuals of Lesser black-backed gull (Larus fuscus) 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 https://github.com/inbo/bird-tracking).
\nThis dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
","type":"OCCURRENCE","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":["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":1749504,"nameUsagesCount":0},{"key":"3f4d4bf1-5f9a-43f2-a0d8-ff6ed5952796","title":"IMOS - Animal Tracking Facility - Acoustic Tracking - Quality Controlled Detections (2007 -2021)","doi":"10.15468/3h7tnh","description":"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.
\nThis 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 '-release'. Parameters include transmitter type, length and weight of the released animal.
\nDownloads of the detection, deployments and receiver stations are from https://animaltracking.aodn.org.au/detection accessed in 2021-01-04
","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,"nameUsagesCount":0},{"key":"93c8cc03-30cf-474e-8173-dbe5a22a5d28","title":"JNCC seabird distribution and abundance data (all trips) from ESAS database","doi":"10.15468/56wppq","description":"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\nPurpose:\nThe founding aim of this project was to merge data from different collaborators and use these to publish an atlas depicting vulnerable concentrations of seabirds to oil pollution. Subsequently, these data have been used for a wide variety of research purposes. The collaboration has also developed and defined common standards in data capture, processing and storage.\n\nSupplemental information:\n[2020-10-01] The following invalid species names were corrected according to the Integrated Taxonomic Information System (ITIS).\nLarus ridibundus (176835) => Chroicocephalus ridibundus (824041)\nCorvus monedula (179746) => Coloeus monedula (916629)\nLittle Gull: Larus minutus (176840) => Hydrocoloeus minutus (824065)\nLittle Tern: Sterna albifrons (176899) => Sternula albifrons (824126)\nMediterranean Gull: Larus melanocephalus (176858) => Ichthyaetus melanocephalus (824070)\nRed Phalarope: Phalaropus fulicaria (554376) => Phalaropus fulicarius (176734)\nSandwich Tern: Sterna sandvicensis (176927) => Thalasseus sandvicensis (176932)\nTurtles: Testudines (173749) => Testudines (948936)\nPhylloscopus sibilatrix (179847) => Phylloscopus sibillatrix (916708)\nSula bassanus (174711) => Morus bassanus (174712)\nLarus sabini (176865) => Xema sabini (176866)\nSaxicola torquata (554448) => Saxicola torquatus (726114)\n\n[2015-03-24] A few records had a wrong animal count of zero. The value is replaced with a blank representing species presence only.\n\nThis dataset represents a subset of version 4.1 of the ESAS database, which is composed of three related tables. As some attributes from the original dataset are dropped in the public view, certain records may appear as duplicate observations. This, however, is not the case, as these records will have varying attribute values in the original database (e.g., age/plumage/behavior, etc.) and should therefore be treated as separate entities.This animal tracking dataset is derived from Stienen et al. (2022, https://doi.org/10.5281/zenodo.6594838) a deposit of Movebank study 986040562. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows.
\nHG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study HG_OOSTENDE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 60 individuals of European Herring gull (Larus argentatus) 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 https://github.com/inbo/bird-tracking).
\nThis dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
","type":"OCCURRENCE","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":["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":1120105,"nameUsagesCount":0},{"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 'A 17-year time-series of fungal environmental DNA from a coastal marine ecosystem reveals long-term seasonal-scale and inter-annual diversity patterns'.\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,"nameUsagesCount":0},{"key":"bf1feaf4-b23d-4529-9c47-ac6176c70afe","title":"Collation of spatial seagrass data (meadow extent polygons, species presence/absence points) from 1984 - 2018 for the Great Barrier Reef World Heritage Area (GBRWHA) (NESP TWQ Project 3.2.1 and 5.4, TropWATER, James Cook University)","doi":"10.15468/eplomk","description":"This dataset summarises 35 years of seagrass data collection (1984-2018) within the Great Barrier Reef World Heritage Area into one GIS shapefile containing seagrass presence and absence survey data for 81,387 sites. This dataset is dominated by 1,010,826 'absent' compared to 47,049 'present' records.
\nManaging seagrass resources in the GBRWHA requires adequate baseline information on where seagrass is (presence/absence), what species are present, and date of collection. This baseline is particularly important as a reference point against which to compare seagrass loss or change through time. The scale of the GBRWHA (1000s of kilometres) and the remoteness of many seagrass meadows from human populations present a challenge for research and management agencies reporting on the state of seagrass ecological indicators. Broad-scale and repeated surveys/studies of areas this large are logistically and financially impracticable. However seagrass data is being collected through various projects which, although designed for specific reasons, are amenable to collating a picture of the extent and state of the seagrass resource.
\nThe data used here along with additional references and descriptions of the data is at https://eatlas.org.au/data/uuid/18386963-6960-4eb9-889b-d0964069ce13
","type":"SAMPLING_EVENT","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-nc/4.0/legalcode","decades":[1980,1990,2000,2010],"keywords":["Occurrence","Occurrence"],"recordCount":1057875,"nameUsagesCount":0},{"key":"b3b7d5c4-f73a-475b-a203-c6a1ddd040cd","title":"Puerto Rico Long-Term Coral Reef Monitoring Program Database Compilation","doi":"10.15468/heuugg","description":"The Puerto Rico Long-Term Coral Reef Monitoring Program (PRCRMP) database compilation includes raw biological data (by transect) from reef locations around the Puerto Rican archipelago. Substrate cover by sessile-benthic categories and fish, and motile megabenthic invertebrate taxonomic composition and densities have been characterized in these stations, with variable sampling event frequencies between 1999 to 2021. At present, 42 permanent stations are surveyed biannually (21 per year). For the benthic characterization, a set of five 10-meter-long permanent transects are surveyed at each station. Sessile-benthic reef communities are characterized by the continuous intercept chain-link method, following the Caribbean Coastal Marine Productivity (CARICOMP) (1994) protocol. Demersal diurnal non-cryptic reef fish populations and motile megabenthic invertebrates are surveyed by sets of five 10 x 3 meters wide (30 m2) belt-transects centered along the reference line of transects used for sessile-benthic characterizations at each reef station. From 2004-2013, a diver completed an Active Search Census (ASEC) survey for 30 minutes annotating sizes and abundances of fish and macroinvertebrate species of interest. From 2015, the ASEC survey methodology was replaced by 20 x 3 meters (60 m2) band transects to identify commercially and ecologically important fish and megabenthic invertebrate species. Upon completion of the 10 meters belt-transect survey, the diver swims along the same depth and physiographic reef zone for an extra 10 meters to complete the 60 m2 transect. For each fish individual within the ASEC survey (2004-2013) and 60m2 band transects (2015-2021), a visual fork length (FL) estimate in centimeters is recorded. Fish length estimations are provided by the median of 5cm interval size classes. The cephalothorax length (measurement from the tip of the rostrum to end of the thorax), also known as carapace length (CL) in centimeters is used to report the size of lobsters (Panulirus spp., Scyllarides spp.) within belt-transects. Queen conch (Lobatus gigas) length is reported as the total (diagonal) shell length in centimeters. With the length-weight relationship information available in FishBase.org, biomass estimates are calculated for a subset of commercially and ecologically important fish species. The PRCRMP database was made possible with support from the National Oceanic and Atmospheric Administrations Coral Reef Conservation Program.","type":"SAMPLING_EVENT","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","keywords":["Samplingevent","Samplingevent"],"recordCount":1053192,"nameUsagesCount":0},{"key":"df8e3fb8-3da7-4104-a866-748f6da20a3c","title":"NOAA Deep Sea Corals Research and Technology Program","doi":"10.15468/aqbftj","description":"NOAA’s Deep-Sea Coral Research and Technology Program (DSC-RTP) is compiling a national geodatabase of the known locations of deep-sea corals and sponges in U.S. territorial waters and beyond. The database will be 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. 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. The current data reflects DSC-RTP Database Version 20230828-0.\n\nTo query, visualize, and download data in its native format, please visit our map portal: \nhttps://www.ncei.noaa.gov/maps/deep-sea-corals/mapSites.htm \n\nFor advanced data query and data download, please visit our ERDDAP data access form: \nhttps://www.ncei.noaa.gov/erddap/tabledap/deep_sea_corals.html \n\nTo learn more about deep sea coral and sponge habitats, please visit our website: \nhttps://deepseacoraldata.noaa.gov/","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":[1830,1840,1850,1860,1870,1880,1890,1900,1910,1920,1930,1940,1950,1960,1970,1980,1990,2000,2010,2020],"keywords":["Occurrence","Observation","Occurrence"],"projectIdentifier":"DSC-RTP","recordCount":1007469,"nameUsagesCount":0},{"key":"840ebec6-f762-11e1-a439-00145eb45e9a","title":"MICROBIS database","doi":"10.15468/wi6v9k","description":"MICROBIS is a database of marine microbial biota , most gained from genomic analysis used in support of ICOMM.","type":"OCCURRENCE","hostingOrganizationKey":"e3e307d0-1637-11da-a5ec-b8a03c50a862","hostingOrganizationTitle":"Marine Biology Laboratory","hostingCountry":"US","publishingCountry":"US","publishingOrganizationKey":"e3e307d0-1637-11da-a5ec-b8a03c50a862","publishingOrganizationTitle":"Marine Biology Laboratory","endorsingNodeKey":"ba0670b9-4186-41e6-8e70-f9cb3065551a","networkKeys":["2b7c7b4f-4d4f-40d3-94de-c28b6fa054a6"],"license":"http://creativecommons.org/licenses/by/4.0/legalcode","recordCount":898985,"nameUsagesCount":0},{"key":"387d9422-a3d8-4e1c-8f17-d653c1a1bb7a","title":"Foreign vessel commercial trawl records from the North West Shelf, Australia (1979-1985)","doi":"10.15468/fbs9qr","description":"The North West Shelf Joint Environmental Management Study (NWSJEMS) was a $7.7 million marine environmental study of the North West Shelf jointly funded by CSIRO and the Western Australian Government. Further details and reports at https://www.cmar.csiro.au/nwsjems/\n.
\nThe data presented here was summarised to produce an interim report to describe the trawling effort and total catch in the North West Shelf of Australia between 1973 and 1997. It contains foreign and domestic commercial fisheries data from three separate sources: Taiwanese Logbook data (Anon. 1973-1982), foreign (Taiwanese, Chinese and South Korean) trawl data collated by the Australian Fisheries Management Authority (1979-1989), and domestic catch and effort statistics data collated by Fisheries, Western Australia (1979-1997). Trawling effort and total catch by year, as well as catches of 22 species categories (mostly family level classifications) are summarised spatially into a 10x10 minute grid scale over part of the NWS region to show spatial distribution. The original Report produced Mar 2001 was updated and corrected in 2003. The corrections made are: (1) the Taiwanese total catch was recalculated using all categories reported in the Annual reports (previously invertebrates, 'dumped' and 'other' were excluded); (2)Taiwanese effort data was corrected for logbook recovery rates reported in the Annual Reports.
The update refers to an additional section describing the data that was used in NWS-JEMS Project 5. The original data along with the analysis report can be downloaded at https://www.marine.csiro.au/data/trawler/download.cfm?file_id=5456
This animal tracking dataset is derived from van der Kolk et al. (2022, https://doi.org/10.5281/zenodo.5653891) a deposit of Movebank study 1605802367. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows.
\nO_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.
\nThese data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.
","type":"OCCURRENCE","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":["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","behaviour","Movebank","birds","biologging","Occurrence","Observation"],"recordCount":656050,"nameUsagesCount":0},{"key":"08ee525d-6077-49c1-bb00-df5e01432f02","title":"Four Decades of Seagrass Spatial Data from Torres Strait and Gulf of Carpentaria, Australia (1986-2022)","doi":"10.15468/pgz5bt","description":"This dataset summarises 40 years of seagrass data collection (1983-2022) within Torres Strait and the Gulf of Carpentaria. In this project the investigators compiled seagrass spatial data collected during surveys in Torres Strait and the Gulf of Carpentaria into a standardised form with point-specific and meadow-specific spatial and temporal information. They revisited, evaluated, simplified, standardised, and corrected individual records, including those collected several decades ago by drawing on the knowledge of one of the authors (RG Coles) who led the early seagrass data collection and mapping programs. Also incorporates new data, such as from photo records of an aerial assessment of mangroves in the Gulf of Carpentaria in 2017.
\nThis dataset comprises the following : (1) a point shapefile that includes survey data for 48,612 geolocated sites, and (2) a polygon geopackage describing seagrass at 641 individual or composite meadows. A detailed report describing this project is available:\nCarter A, McKenna S, Rasheed M, Taylor H, van de Wetering C, Chartrand K, Reason C, Collier C, Shepherd L, Mellors J, McKenzie L, Roelofs A, Smit N, Groom R, Barrett D, Evans S, Pitcher R, Murphy N, Duke NC, Carlisle M, David M, Lui S, Torres Strait Indigenous Rangers (led by Whap T, Pearson L, Laza T, Bon A), and Coles RG (2022). Four Decades of Seagrass Spatial Data from Torres Strait and Gulf of Carpentaria. Report to the National Environmental Science Program. Centre for Tropical Water and Aquatic Ecosystem Research (TropWATER), James Cook University. https://www.nespmarinecoastal.edu.au/technical-reports-2/
","type":"SAMPLING_EVENT","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-nc/4.0/legalcode","decades":[1980,1990,2000,2010,2020],"keywords":["Samplingevent"],"projectIdentifier":"NESP MaC Project 1.13","recordCount":626288,"nameUsagesCount":0},{"key":"1d39953f-5c1a-4dad-8524-70191eb4fe6c","title":"SEFSC CAGES Alabama Fish Length Data with CPUE","doi":"10.15468/vs1k7e","description":"The CAGES program (Comparative Assessment of Gulf Estuarine Systems) is designed to examine the differences between estuarine ecosystems and investigate why some are more productive than others. The program focuses on estuarine areas important to commercial fisheries and includes data on commercial finfish and invertebrate species, as well as other species commonly captured in trawl sampling. This Louisiana dataset is a subset of the CAGES Relational Database which is a compilation of fishery-independent data contributed by natural resource agencies of the Gulf States (Texas, Louisiana, Mississippi, Alabama, and Florida). This data set includes data from trawls collected by the Alabama Department of Conservation and Natural Resources (ADCNR) and Gulf Coast Research Laboratory (GCRL), as well as associated hydrographic data. Trawl data were used to calculate CPUE (catch per unit effort) at each station for the years 1981 through 2007.","type":"OCCURRENCE","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","keywords":["Occurrence","Observation"],"recordCount":601868,"nameUsagesCount":0}],"facets":[]}