{"action":"create","ckan_id":null,"date_created":"Tue, 15 Jul 2025 06:19:13 GMT","date_finished":null,"harvest_job_id":"4b218666-40ac-4fad-9947-1cc8aae15e9b","harvest_source_id":"e29fcc9e-acde-4cf7-a7cc-f76eb64e7b97","id":"4529dd56-8e03-43f7-8b87-a1c8724dee48","identifier":"https://data.noaa.gov/waf/NOAA/nmfs/swfsc/erd/erddap/iso/xml/ecocast_iso19115.xml","parent_identifier":null,"source_hash":"4f69f02cae4066735236ba6519daa2ec69cb4c89e59c5992ca78c6d50a599189","source_raw":"\r\n \r\n ecocast\r\n \r\n \r\n eng\r\n \r\n \r\n UTF8\r\n \r\n \r\n dataset\r\n \r\n \r\n service\r\n \r\n \r\n \r\n \r\n Bob Simons\r\n \r\n \r\n NOAA NMFS SWFSC Environmental Research Division\r\n \r\n \r\n \r\n \r\n \r\n \r\n +1 831-420-3666\r\n \r\n \r\n \r\n \r\n \r\n \r\n 99 Pacific St, Suite 255A\r\n \r\n \r\n Monterey\r\n \r\n \r\n CA\r\n \r\n \r\n 93940\r\n \r\n \r\n USA\r\n \r\n \r\n bob.simons@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n pointOfContact\r\n \r\n \r\n \r\n \r\n 2022-09-04\r\n \r\n \r\n ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data\r\n \r\n \r\n ISO 19115-2:2009(E)\r\n \r\n \r\n \r\n \r\n 3\r\n \r\n \r\n \r\n \r\n column\r\n \r\n \r\n 65\r\n \r\n \r\n 0.24875621999999997\r\n \r\n \r\n \r\n \r\n \r\n \r\n row\r\n \r\n \r\n 71\r\n \r\n \r\n 0.24875621999999997\r\n \r\n \r\n \r\n \r\n \r\n \r\n temporal\r\n \r\n \r\n 1441\r\n \r\n \r\n 86460.0\r\n \r\n \r\n \r\n \r\n area\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project\r\n \r\n \r\n \r\n \r\n 2022-09-04\r\n \r\n \r\n creation\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n coastwatch.pfeg.noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n ecocast\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n NOAA NMFS SWFSC ERD\r\n \r\n \r\n \r\n \r\n \r\n \r\n heather.welch@noaa.gov ; erd.data@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/ecocast\r\n \r\n \r\n information\r\n \r\n \r\n web browser\r\n \r\n \r\n Background Information\r\n \r\n \r\n Background information from the source\r\n \r\n \r\n information\r\n \r\n \r\n \r\n \r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)\r\n \r\n \r\n \r\n contributor\r\n \r\n \r\n \r\n \r\n \r\n \r\n The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).\r\n \r\n \r\n We thank the scientific teams and all those who supported animal tagging efforts in addition to the SWFSC fisheries observer program that collected bycatch data aboard drift gillnet vessels. We are grateful to the numerous captains and crews who provided ship time and logistical support, and NOAA regional managers including Heidi Taylor and Tina Fahy that provided feedback and support along the way. We also thank Lucie Hazen at Stanford\u2019s Center for Ocean Solutions for logistical and meeting support towards achieving the NASA project goals. This project also was a brain-child of the late Dave Foley whose career was dedicated to incorporate oceanographic data into fisheries management.\r\n \r\n \r\n \r\n \r\n \r\n NOAA NMFS SWFSC ERD\r\n \r\n \r\n \r\n \r\n \r\n \r\n heather.welch@noaa.gov ; erd.data@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/ecocast\r\n \r\n \r\n information\r\n \r\n \r\n web browser\r\n \r\n \r\n Background Information\r\n \r\n \r\n Background information from the source\r\n \r\n \r\n information\r\n \r\n \r\n \r\n \r\n \r\n \r\n pointOfContact\r\n \r\n \r\n \r\n \r\n \r\n \r\n blue shark\r\n \r\n \r\n California\r\n \r\n \r\n California sea lion\r\n \r\n \r\n Dermochelys coricea\r\n \r\n \r\n dynamic ecosystem management\r\n \r\n \r\n Ecocast\r\n \r\n \r\n leatherback sea turtle\r\n \r\n \r\n NOAA\r\n \r\n \r\n ocean\r\n \r\n \r\n Prionace glauca\r\n \r\n \r\n Southwest fisheries\r\n \r\n \r\n SWFSC\r\n \r\n \r\n Zalophus californianus\r\n \r\n \r\n theme\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Earth Science > Oceans > Marine Environment Monitoring\r\n \r\n \r\n Earth Science > Human Dimensions > Sustainability > Environmental Sustainability\r\n \r\n \r\n Earth Science > Human Dimensions > Environmental Governance/Management > Environmental Regulations\r\n \r\n \r\n Earth Science > Biological Classification > Animals/Vertebrates > Reptiles > Turtles\r\n \r\n \r\n Earth Science > Biological Classification > Animals/Vertebrates > Mammals > Carnivores > Seals/Sea Lions/Walruses\r\n \r\n \r\n Earth Science > Biological Classification > Animals/Vertebrates > Fish > Sharks/Rays/Chimaeras\r\n \r\n \r\n Earth Science > Biological Classification > Animals/Vertebrates > Fish > Ray-Finned Fishes\r\n \r\n \r\n theme\r\n \r\n \r\n \r\n \r\n GCMD Science Keywords\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n EcoCast\r\n \r\n \r\n project\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n time\r\n \r\n \r\n latitude\r\n \r\n \r\n longitude\r\n \r\n \r\n theme\r\n \r\n \r\n \r\n \r\n CF Standard Name Table v70\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n These data are available for use without restriction. Please acknowledge the use of these data by citing the following publications: Hazen et al. Sustaining pelagic fisheries: An Eco-Informatic solution to fisheries bycatch. In prep. Welch et al. Practical considerations for operationalizing dynamic management tools. In prep.). The data may be used and redistributed for free but are not intended or legal use, since they may contain inaccuracies. Neither the data contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n EcoCast\r\n \r\n \r\n \r\n \r\n \r\n largerWorkCitation\r\n \r\n \r\n project\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unidata Common Data Model\r\n \r\n \r\n \r\n \r\n \r\n Grid\r\n \r\n \r\n \r\n \r\n largerWorkCitation\r\n \r\n \r\n project\r\n \r\n \r\n \r\n \r\n eng\r\n \r\n \r\n geoscientificInformation\r\n \r\n \r\n \r\n \r\n \r\n \r\n 1\r\n \r\n \r\n -131.5914\r\n \r\n \r\n -115.671005\r\n \r\n \r\n 29.652365\r\n \r\n \r\n 47.0653\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n seconds\r\n 2018-05-09T12:00:00Z\r\n 2022-04-19T12:00:00Z\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project\r\n \r\n \r\n \r\n \r\n 2022-09-04\r\n \r\n \r\n creation\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n NOAA NMFS SWFSC ERD\r\n \r\n \r\n \r\n \r\n \r\n \r\n heather.welch@noaa.gov ; erd.data@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/ecocast\r\n \r\n \r\n information\r\n \r\n \r\n web browser\r\n \r\n \r\n Background Information\r\n \r\n \r\n Background information from the source\r\n \r\n \r\n information\r\n \r\n \r\n \r\n \r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)\r\n \r\n \r\n \r\n contributor\r\n \r\n \r\n \r\n \r\n \r\n \r\n The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).\r\n \r\n \r\n ERDDAP griddap\r\n \r\n \r\n \r\n \r\n \r\n \r\n 1\r\n \r\n \r\n -131.5914\r\n \r\n \r\n -115.671005\r\n \r\n \r\n 29.652365\r\n \r\n \r\n 47.0653\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n seconds\r\n 2018-05-09T12:00:00Z\r\n 2022-04-19T12:00:00Z\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n tight\r\n \r\n \r\n \r\n \r\n ERDDAPgriddapDatasetQueryAndAccess\r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/erddap/griddap/ecocast\r\n \r\n \r\n ERDDAP:griddap\r\n \r\n \r\n ERDDAP-griddap\r\n \r\n \r\n ERDDAP's griddap service (a flavor of OPeNDAP) for gridded data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes.\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project\r\n \r\n \r\n \r\n \r\n 2022-09-04\r\n \r\n \r\n creation\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n NOAA NMFS SWFSC ERD\r\n \r\n \r\n \r\n \r\n \r\n \r\n heather.welch@noaa.gov ; erd.data@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/ecocast\r\n \r\n \r\n information\r\n \r\n \r\n web browser\r\n \r\n \r\n Background Information\r\n \r\n \r\n Background information from the source\r\n \r\n \r\n information\r\n \r\n \r\n \r\n \r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)\r\n \r\n \r\n \r\n contributor\r\n \r\n \r\n \r\n \r\n \r\n \r\n The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).\r\n \r\n \r\n OPeNDAP\r\n \r\n \r\n \r\n \r\n \r\n \r\n 1\r\n \r\n \r\n -131.5914\r\n \r\n \r\n -115.671005\r\n \r\n \r\n 29.652365\r\n \r\n \r\n 47.0653\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n seconds\r\n 2018-05-09T12:00:00Z\r\n 2022-04-19T12:00:00Z\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n tight\r\n \r\n \r\n \r\n \r\n OPeNDAPDatasetQueryAndAccess\r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/erddap/griddap/ecocast\r\n \r\n \r\n OPeNDAP:OPeNDAP\r\n \r\n \r\n OPeNDAP\r\n \r\n \r\n An OPeNDAP service for gridded data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes.\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project\r\n \r\n \r\n \r\n \r\n 2022-09-04\r\n \r\n \r\n creation\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n NOAA NMFS SWFSC ERD\r\n \r\n \r\n \r\n \r\n \r\n \r\n heather.welch@noaa.gov ; erd.data@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/ecocast\r\n \r\n \r\n information\r\n \r\n \r\n web browser\r\n \r\n \r\n Background Information\r\n \r\n \r\n Background information from the source\r\n \r\n \r\n information\r\n \r\n \r\n \r\n \r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)\r\n \r\n \r\n \r\n contributor\r\n \r\n \r\n \r\n \r\n \r\n \r\n The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).\r\n \r\n \r\n Open Geospatial Consortium Web Map Service (WMS)\r\n \r\n \r\n \r\n \r\n \r\n \r\n 1\r\n \r\n \r\n -131.5914\r\n \r\n \r\n -115.671005\r\n \r\n \r\n 29.652365\r\n \r\n \r\n 47.0653\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n seconds\r\n 2018-05-09T12:00:00Z\r\n 2022-04-19T12:00:00Z\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n tight\r\n \r\n \r\n \r\n \r\n GetCapabilities\r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/erddap/wms/ecocast/request?service=WMS&version=1.3.0&request=GetCapabilities\r\n \r\n \r\n OGC:WMS\r\n \r\n \r\n OGC-WMS\r\n \r\n \r\n Open Geospatial Consortium Web Map Service (WMS)\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n physicalMeasurement\r\n \r\n \r\n \r\n \r\n \r\n \r\n ecocast\r\n \r\n \r\n \r\n \r\n double\r\n \r\n \r\n \r\n \r\n \r\n \r\n EcoCast Relative Bycatch-Target Catch Probability Product\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Bob Simons\r\n \r\n \r\n NOAA NMFS SWFSC Environmental Research Division\r\n \r\n \r\n \r\n \r\n \r\n \r\n +1 831-420-3666\r\n \r\n \r\n \r\n \r\n \r\n \r\n 99 Pacific St, Suite 255A\r\n \r\n \r\n Monterey\r\n \r\n \r\n CA\r\n \r\n \r\n 93940\r\n \r\n \r\n USA\r\n \r\n \r\n bob.simons@noaa.gov\r\n \r\n \r\n \r\n \r\n \r\n \r\n distributor\r\n \r\n \r\n \r\n \r\n \r\n \r\n OPeNDAP\r\n \r\n \r\n DAP/2.0\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/erddap/griddap/ecocast.html\r\n \r\n \r\n order\r\n \r\n \r\n Data Subset Form\r\n \r\n \r\n ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n https://coastwatch.pfeg.noaa.gov/erddap/griddap/ecocast.graph\r\n \r\n \r\n order\r\n \r\n \r\n Make-A-Graph Form\r\n \r\n \r\n ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.\r\n \r\n \r\n mapDigital\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n This record was created from dataset metadata by ERDDAP Version 2.19\r\n \r\n \r\n \r\n","source_transform":null,"status":"error"}