{"after":"WzE3ODg1NDg2NzE5NDYsMTAuNTMxMTA3LDAsIjdkZGI0ZDEzLTUzZmYtNDZhOS1hNTQyLTU5ZDBmODllODYxZCJd","results":[{"_score":6.6638308,"_sort":[1788804000454,6.6638308,6,"d4f53c92-ef00-4049-9da6-8fab8b7501a3"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Alaska Science Center","hasEmail":"mailto:gs-ak_asc_datamanagers@usgs.gov"},"description":"These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps. Data include species observation details such as observers, dates, location, and number of individuals seen.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P950QX28","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ASC367.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC367","keyword":["Alaska","Albatrosses/Petrels and Allies","Animals/Vertebrates","Biota","Birds","Coastal ecosystems","Cranes","Ducks/Geese/Swans","Eagles/Falcons/Hawks and Allies","Environment","Fowl","Game birds","Loons","Migration (organisms)","Migratory birds","Migratory rates/routes","Migratory species","Owls","Perching Birds","Raptors","Sandpipers","Seabirds","Seasonal distribution","Shorebirds","Songbirds","Tundra ecosystems","USGS:ASC367","United States","Waders/Gulls/Auks and Allies","Waterfowl","Wetland ecosystems","Wildlife"],"modified":"2022-03-10T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"170.0, 25.0, -110.0, 72.0","theme":["geospatial"],"title":"Bird Species Checklists from USGS Alaska Science Center Field Camps"},"description":"These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps. Data include species observation details such as observers, dates, location, and number of individuals seen.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d44c12af-0d47-442f-82c2-e0d8caed96e0","harvest_record_raw":"https://catalog.data.gov/harvest_record/d44c12af-0d47-442f-82c2-e0d8caed96e0/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC367","keyword":["Alaska","Albatrosses/Petrels and Allies","Animals/Vertebrates","Biota","Birds","Coastal ecosystems","Cranes","Ducks/Geese/Swans","Eagles/Falcons/Hawks and Allies","Environment","Fowl","Game birds","Loons","Migration (organisms)","Migratory birds","Migratory rates/routes","Migratory species","Owls","Perching Birds","Raptors","Sandpipers","Seabirds","Seasonal distribution","Shorebirds","Songbirds","Tundra ecosystems","USGS:ASC367","United States","Waders/Gulls/Auks and Allies","Waterfowl","Wetland ecosystems","Wildlife"],"last_harvested_date":"2026-09-07T18:00:00.454126","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":6,"publisher":"U.S. Geological Survey","slug":"bird-species-checklists-from-usgs-alaska-science-center-field-camps","spatial_centroid":{"lat":43.8,"lon":58.0},"spatial_shape":{"coordinates":[[[170.0,25.0],[170.0,72.0],[-110.0,72.0],[-110.0,25.0],[170.0,25.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bird Species Checklists from USGS Alaska Science Center Field Camps","type":"dataset"},{"_score":16.947939,"_sort":[1788799056570,16.947939,0,"712987e1-bfba-467a-b7e7-ddec94a0b597"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Point cloud, DEM, and visual images of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Images taken on October 22, 2018. Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Created using Agisoft Metashape (v.1.6.1). Images from DJI Zenmuse X4S camera on a DJI Matrice 210 UAS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G99Z932X","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.092020.32715.1","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","volcano"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-09-02","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}","title":"Sierra Negra Volcano (Visual): Gal\u00e1pagos, Ecuador, October 22 2018"},"description":"Point cloud, DEM, and visual images of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Images taken on October 22, 2018. Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Created using Agisoft Metashape (v.1.6.1). Images from DJI Zenmuse X4S camera on a DJI Matrice 210 UAS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/c075e159-0d1d-4025-90c3-e38fe0745139","harvest_record_raw":"https://catalog.data.gov/harvest_record/c075e159-0d1d-4025-90c3-e38fe0745139/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.092020.32715.1","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","volcano"],"last_harvested_date":"2026-09-07T16:37:36.570551","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"sierra-negra-volcano-visual-galapagos-ecuador-october-22-2018-3b724","spatial_centroid":{"lat":-0.786,"lon":-91.11600000000001},"spatial_shape":{"coordinates":[[[-91.12,-0.79],[-91.11,-0.79],[-91.11,-0.78],[-91.12,-0.78],[-91.12,-0.79]]],"type":"Polygon"},"theme":[],"title":"Sierra Negra Volcano (Visual): Gal\u00e1pagos, Ecuador, October 22 2018","type":"dataset"},{"_score":16.231627,"_sort":[1788799056442,16.231627,0,"850a099a-b224-4697-8ffe-3ea2ec32a020"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 474 total images (available upon request)","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9668BBH","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.092020.32715.2","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-09-02","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}","title":"Sierra Negra Volcano (TIR Flight 1): Gal\u00e1pagos, Ecuador, October 22 2018"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 474 total images (available upon request)","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/e6cd71ce-8280-420e-a606-61743048f701","harvest_record_raw":"https://catalog.data.gov/harvest_record/e6cd71ce-8280-420e-a606-61743048f701/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.092020.32715.2","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"last_harvested_date":"2026-09-07T16:37:36.442481","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"sierra-negra-volcano-tir-flight-1-galapagos-ecuador-october-22-2018-a4581","spatial_centroid":{"lat":-0.786,"lon":-91.11600000000001},"spatial_shape":{"coordinates":[[[-91.12,-0.79],[-91.11,-0.79],[-91.11,-0.78],[-91.12,-0.78],[-91.12,-0.79]]],"type":"Polygon"},"theme":[],"title":"Sierra Negra Volcano (TIR Flight 1): Gal\u00e1pagos, Ecuador, October 22 2018","type":"dataset"},{"_score":16.309639,"_sort":[1788799056307,16.309639,0,"0b4aeb2c-9485-46d0-b353-6354da96df19"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 490 total images (available upon request)","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G92F7KMS","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.092020.32715.3","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-09-02","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}","title":"Sierra Negra Volcano (TIR Flight 2): Gal\u00e1pagos, Ecuador, October 22 2018"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 490 total images (available upon request)","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/7ae11ed7-70a4-46ab-a485-16dd798bfd0d","harvest_record_raw":"https://catalog.data.gov/harvest_record/7ae11ed7-70a4-46ab-a485-16dd798bfd0d/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.092020.32715.3","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"last_harvested_date":"2026-09-07T16:37:36.307756","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"sierra-negra-volcano-tir-flight-2-galapagos-ecuador-october-22-2018-b2387","spatial_centroid":{"lat":-0.786,"lon":-91.11600000000001},"spatial_shape":{"coordinates":[[[-91.12,-0.79],[-91.11,-0.79],[-91.11,-0.78],[-91.12,-0.78],[-91.12,-0.79]]],"type":"Polygon"},"theme":[],"title":"Sierra Negra Volcano (TIR Flight 2): Gal\u00e1pagos, Ecuador, October 22 2018","type":"dataset"},{"_score":15.899887,"_sort":[1788799056187,15.899887,0,"53114c27-1256-4917-aa91-0066eaf20905"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 443 total images (available upon request)","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G957196P","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.092020.32715.4","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-09-09","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-91.12 -0.79, -91.12 -0.78, -91.11 -0.78, -91.11 -0.79, -91.12 -0.79))\"}","title":"Sierra Negra Volcano (TIR Flight 3): Gal\u00e1pagos, Ecuador, October 22 2018"},"description":"Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 443 total images (available upon request)","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/43716ec3-efd5-4e53-a01c-44839108f01b","harvest_record_raw":"https://catalog.data.gov/harvest_record/43716ec3-efd5-4e53-a01c-44839108f01b/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.092020.32715.4","keyword":["Gal\u00e1pagos","Sierra Negra","UAS","community-dataspace","lava flow","structure-from-motion","thermal images","volcano"],"last_harvested_date":"2026-09-07T16:37:36.187209","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"sierra-negra-volcano-tir-flight-3-galapagos-ecuador-october-22-2018-4e8f2","spatial_centroid":{"lat":-0.786,"lon":-91.11600000000001},"spatial_shape":{"coordinates":[[[-91.12,-0.79],[-91.11,-0.79],[-91.11,-0.78],[-91.12,-0.78],[-91.12,-0.79]]],"type":"Polygon"},"theme":[],"title":"Sierra Negra Volcano (TIR Flight 3): Gal\u00e1pagos, Ecuador, October 22 2018","type":"dataset"},{"_score":13.888763,"_sort":[1788799047836,13.888763,0,"3d38979d-5395-457f-a77b-f1aba83cfa06"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) produced from 9970 UAS derived aerial photographs using the Structure-from-Motion method.\nThe 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. \nThe model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits. In addition, numerous fractures affecting the main edifice are evident.\nFor more details on this dataset, please see the citation:\nCivico, R., Ricci, T., Scarlato, P. et al. High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain. Sci Data 9, 435 (2022). https://doi.org/10.1038/s41597-022-01551-8.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G96971S8","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.032022.4083.1","keyword":["Canarias","Cumbre Vieja","Eruption","SfM","Spain","Structure from Motion","UAS","Volcano","community-dataspace"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2022-03-30","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-17.93 28.60, -17.93 28.63, -17.86 28.63, -17.86 28.60, -17.93 28.60))\"}","title":"2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Jan 2022"},"description":"Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) produced from 9970 UAS derived aerial photographs using the Structure-from-Motion method.\nThe 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. \nThe model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits. In addition, numerous fractures affecting the main edifice are evident.\nFor more details on this dataset, please see the citation:\nCivico, R., Ricci, T., Scarlato, P. et al. High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain. Sci Data 9, 435 (2022). https://doi.org/10.1038/s41597-022-01551-8.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/87f12bb1-07e4-4091-94d9-a7a9adf4de25","harvest_record_raw":"https://catalog.data.gov/harvest_record/87f12bb1-07e4-4091-94d9-a7a9adf4de25/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.032022.4083.1","keyword":["Canarias","Cumbre Vieja","Eruption","SfM","Spain","Structure from Motion","UAS","Volcano","community-dataspace"],"last_harvested_date":"2026-09-07T16:37:27.836624","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"2021-cumbre-vieja-volcano-eruption-la-palma-spain-sfm-dsm-jan-2022-6b180","spatial_centroid":{"lat":28.612000000000002,"lon":-17.901999999999997},"spatial_shape":{"coordinates":[[[-17.93,28.6],[-17.86,28.6],[-17.86,28.63],[-17.93,28.63],[-17.93,28.6]]],"type":"Polygon"},"theme":[],"title":"2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Jan 2022","type":"dataset"},{"_score":16.231627,"_sort":[1788799046249,16.231627,0,"c167d078-5151-42a3-b698-499d0e48960b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) as of 27 September 2021, produced from 915 UAS derived aerial photographs using the Structure-from-Motion method. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. The model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9R49P0T","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OTDS.062022.4083.1","keyword":["Canarias","Cumbre Vieja","Eruption","SfM","Spain","Structure from Motion","UAS","Volcano","community-dataspace"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2022-06-22","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-17.91 28.61, -17.91 28.62, -17.86 28.62, -17.86 28.61, -17.91 28.61))\"}","title":"2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Sep 2021"},"description":"Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) as of 27 September 2021, produced from 915 UAS derived aerial photographs using the Structure-from-Motion method. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. The model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/0cac6561-cd08-4401-a757-7f9b8f0519d9","harvest_record_raw":"https://catalog.data.gov/harvest_record/0cac6561-cd08-4401-a757-7f9b8f0519d9/raw","has_download":false,"has_spatial":true,"identifier":"OTDS.062022.4083.1","keyword":["Canarias","Cumbre Vieja","Eruption","SfM","Spain","Structure from Motion","UAS","Volcano","community-dataspace"],"last_harvested_date":"2026-09-07T16:37:26.249080","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"2021-cumbre-vieja-volcano-eruption-la-palma-spain-sfm-dsm-sep-2021-9d214","spatial_centroid":{"lat":28.613999999999997,"lon":-17.89},"spatial_shape":{"coordinates":[[[-17.91,28.61],[-17.86,28.61],[-17.86,28.62],[-17.91,28.62],[-17.91,28.61]]],"type":"Polygon"},"theme":[],"title":"2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Sep 2021","type":"dataset"},{"_score":15.657818,"_sort":[1788799026427,15.657818,0,"f6da7f84-f594-4f0b-aa5e-6aac61012720"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9QJ7F8K","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.062016.32648.1","keyword":["China","East Helanshan Fault","Yinchuan Graben","Yinchuan basin","intraplate fault","lidar"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2016-07-04","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((105.94 38.61, 105.94 39.29, 106.70 39.29, 106.70 38.61, 105.94 38.61))\"}","title":"East Helanshan Fault, northern China"},"description":"This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/60743b78-fd07-43cf-ad41-b85636531fca","harvest_record_raw":"https://catalog.data.gov/harvest_record/60743b78-fd07-43cf-ad41-b85636531fca/raw","has_download":false,"has_spatial":true,"identifier":"OT.062016.32648.1","keyword":["China","East Helanshan Fault","Yinchuan Graben","Yinchuan basin","intraplate fault","lidar"],"last_harvested_date":"2026-09-07T16:37:06.427399","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"east-helanshan-fault-northern-china-faa43","spatial_centroid":{"lat":38.882,"lon":106.244},"spatial_shape":{"coordinates":[[[105.94,38.61],[106.7,38.61],[106.7,39.29],[105.94,39.29],[105.94,38.61]]],"type":"Polygon"},"theme":[],"title":"East Helanshan Fault, northern China","type":"dataset"},{"_score":13.239113,"_sort":[1788799026304,13.239113,0,"fc28771a-31ae-40ab-99d6-f1f18f1f97e7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.  The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793\u00e2\u0080\u00938808, doi:10.1002/2015JB012358.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G92V2D1B","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.082016.32611.1","keyword":["NERC","VHR","earthquake","lidar","pleiades","rupture","satellite photogrammetry"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2016-08-23","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-115.73 32.25, -115.73 32.56, -115.32 32.56, -115.32 32.25, -115.73 32.25))\"}","title":"El Mayor-Cucapah Earthquake, Pleiades 2014"},"description":"Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.  The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793\u00e2\u0080\u00938808, doi:10.1002/2015JB012358.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/9b18d3dd-bf1b-44cf-88ef-e43a0afb596e","harvest_record_raw":"https://catalog.data.gov/harvest_record/9b18d3dd-bf1b-44cf-88ef-e43a0afb596e/raw","has_download":false,"has_spatial":true,"identifier":"OT.082016.32611.1","keyword":["NERC","VHR","earthquake","lidar","pleiades","rupture","satellite photogrammetry"],"last_harvested_date":"2026-09-07T16:37:06.304441","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"el-mayor-cucapah-earthquake-pleiades-2014-dfd16","spatial_centroid":{"lat":32.374,"lon":-115.566},"spatial_shape":{"coordinates":[[[-115.73,32.25],[-115.32,32.25],[-115.32,32.56],[-115.73,32.56],[-115.73,32.25]]],"type":"Polygon"},"theme":[],"title":"El Mayor-Cucapah Earthquake, Pleiades 2014","type":"dataset"},{"_score":14.206507,"_sort":[1788798999897,14.206507,0,"804ca6c3-90df-4408-ab7b-080df1202f52"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects.  In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah.  The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files.  The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners.   These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G90C4SPQ","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042013.26912.1","keyword":["Box Elder","Cache","Davis","Emery","Iron","Salt Lake","Sanpete","Tooele","Utah","Washington","Weber","lidar"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2013-05-09","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-113.32 36.99, -113.32 41.84, -111.24 41.84, -111.24 36.99, -113.32 36.99))\"}","title":"Utah Geological Survey Lidar"},"description":"The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects.  In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah.  The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files.  The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners.   These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/2cf4b2fa-6eab-4350-8e63-41124bc9a662","harvest_record_raw":"https://catalog.data.gov/harvest_record/2cf4b2fa-6eab-4350-8e63-41124bc9a662/raw","has_download":false,"has_spatial":true,"identifier":"OT.042013.26912.1","keyword":["Box Elder","Cache","Davis","Emery","Iron","Salt Lake","Sanpete","Tooele","Utah","Washington","Weber","lidar"],"last_harvested_date":"2026-09-07T16:36:39.897414","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"utah-geological-survey-lidar-83c59","spatial_centroid":{"lat":38.93,"lon":-112.48799999999999},"spatial_shape":{"coordinates":[[[-113.32,36.99],[-111.24,36.99],[-111.24,41.84],[-113.32,41.84],[-113.32,36.99]]],"type":"Polygon"},"theme":[],"title":"Utah Geological Survey Lidar","type":"dataset"},{"_score":16.947939,"_sort":[1788798991670,16.947939,0,"abb66818-8ab4-4ba4-9cb8-028e9a48cb5a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in 2012.  Note that this capture was prior to the significant vertical and horizontal displacements from the 2016 Kaikoura earthquakes. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Kaikoura township area and adjacent coastal strips. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3542-canterbury-kaikoura-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3545-canterbury-kaikoura-lidar-1m-dsm-2012/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G98C9T67","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.2193.1","keyword":["aerial surveys","kaikoura","lidar","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2016-12-08","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((173.26 -42.92, 173.26 -41.95, 174.07 -41.95, 174.07 -42.92, 173.26 -42.92))\"}","title":"Kaikoura, Canterbury, New Zealand 2012"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in 2012.  Note that this capture was prior to the significant vertical and horizontal displacements from the 2016 Kaikoura earthquakes. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Kaikoura township area and adjacent coastal strips. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3542-canterbury-kaikoura-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3545-canterbury-kaikoura-lidar-1m-dsm-2012/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/2677e778-d0cb-4196-aef6-575e5bf02319","harvest_record_raw":"https://catalog.data.gov/harvest_record/2677e778-d0cb-4196-aef6-575e5bf02319/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.2193.1","keyword":["aerial surveys","kaikoura","lidar","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:31.670137","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"kaikoura-canterbury-new-zealand-2012-f0c2c","spatial_centroid":{"lat":-42.532000000000004,"lon":173.584},"spatial_shape":{"coordinates":[[[173.26,-42.92],[174.07,-42.92],[174.07,-41.95],[173.26,-41.95],[173.26,-42.92]]],"type":"Polygon"},"theme":[],"title":"Kaikoura, Canterbury, New Zealand 2012","type":"dataset"},{"_score":16.947939,"_sort":[1788798991533,16.947939,0,"34bb7779-b2bb-4882-beff-9b3bdabd3426"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2012, under survey name Hurunui AB.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3546-canterbury-amberley-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3547-canterbury-amberley-lidar-1m-dsm-2012/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9GX48H4","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.2193.3","keyword":["Amberley","Canterbury","aerial surveys","lidar","linz","new zealand","south island","waipara"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-01-11","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.62 -43.25, 172.62 -43.05, 172.82 -43.05, 172.82 -43.25, 172.62 -43.25))\"}","title":"Amberley, Canterbury, New Zealand 2012"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2012, under survey name Hurunui AB.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3546-canterbury-amberley-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3547-canterbury-amberley-lidar-1m-dsm-2012/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/00229d29-d509-4d50-9ac6-93fbf130f09e","harvest_record_raw":"https://catalog.data.gov/harvest_record/00229d29-d509-4d50-9ac6-93fbf130f09e/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.2193.3","keyword":["Amberley","Canterbury","aerial surveys","lidar","linz","new zealand","south island","waipara"],"last_harvested_date":"2026-09-07T16:36:31.533958","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"amberley-canterbury-new-zealand-2012-c3431","spatial_centroid":{"lat":-43.17,"lon":172.7},"spatial_shape":{"coordinates":[[[172.62,-43.25],[172.82,-43.25],[172.82,-43.05],[172.62,-43.05],[172.62,-43.25]]],"type":"Polygon"},"theme":[],"title":"Amberley, Canterbury, New Zealand 2012","type":"dataset"},{"_score":16.166512,"_sort":[1788798991276,16.166512,0,"ec179a01-003b-40e6-b022-5c6bff42eff3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot and Hawarden township areas. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3548-canterbury-cheviot-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3549-canterbury-cheviot-lidar-1m-dsm-2015/   https://data.linz.govt.nz/layer/3550-canterbury-hawarden-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3551-canterbury-hawarden-lidar-1m-dsm-2015/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9C53HSQ","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.2193.5","keyword":["Canterbury","Cheviot","Hawarden","aerial surveys","hurunui","lidar","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-01-11","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.63 -42.97, 172.63 -42.78, 173.31 -42.78, 173.31 -42.97, 172.63 -42.97))\"}","title":"Cheviot and Hawarden, Canterbury, New Zealand 2015"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot and Hawarden township areas. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3548-canterbury-cheviot-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3549-canterbury-cheviot-lidar-1m-dsm-2015/   https://data.linz.govt.nz/layer/3550-canterbury-hawarden-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3551-canterbury-hawarden-lidar-1m-dsm-2015/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/4232f26d-5ecd-45d9-b48d-6e8f8266958a","harvest_record_raw":"https://catalog.data.gov/harvest_record/4232f26d-5ecd-45d9-b48d-6e8f8266958a/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.2193.5","keyword":["Canterbury","Cheviot","Hawarden","aerial surveys","hurunui","lidar","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:31.276218","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"cheviot-and-hawarden-canterbury-new-zealand-2015-23a33","spatial_centroid":{"lat":-42.894,"lon":172.902},"spatial_shape":{"coordinates":[[[172.63,-42.97],[173.31,-42.97],[173.31,-42.78],[172.63,-42.78],[172.63,-42.97]]],"type":"Polygon"},"theme":[],"title":"Cheviot and Hawarden, Canterbury, New Zealand 2015","type":"dataset"},{"_score":17.335367,"_sort":[1788798991146,17.335367,0,"6e6b77be-b080-4d34-b639-600edc3131f0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Waimakariri District Council and Environment Canterbury Regional Council by Aerial Surveys in March - June 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Rangiora township area and the lower Ashley, Eyre, and Waimakariri river channels. Data management and distribution is by Land Information New Zealand.  Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3552-canterbury-rangiora-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3553-canterbury-rangiora-lidar-1m-dsm-2014/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G97D2S3V","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.2193.6","keyword":["Rangiora","aerial surveys","canterbury","lidar","linz","new zealand","south island","waimakariri"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-01-12","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.15 -43.45, 172.15 -43.19, 172.75 -43.19, 172.75 -43.45, 172.15 -43.45))\"}","title":"Rangiora, Canterbury, New Zealand 2014"},"description":"Lidar was captured for Waimakariri District Council and Environment Canterbury Regional Council by Aerial Surveys in March - June 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Rangiora township area and the lower Ashley, Eyre, and Waimakariri river channels. Data management and distribution is by Land Information New Zealand.  Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3552-canterbury-rangiora-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3553-canterbury-rangiora-lidar-1m-dsm-2014/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/0fcc083c-2b98-4850-a77c-76ab0505c895","harvest_record_raw":"https://catalog.data.gov/harvest_record/0fcc083c-2b98-4850-a77c-76ab0505c895/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.2193.6","keyword":["Rangiora","aerial surveys","canterbury","lidar","linz","new zealand","south island","waimakariri"],"last_harvested_date":"2026-09-07T16:36:31.146980","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"rangiora-canterbury-new-zealand-2014-998c0","spatial_centroid":{"lat":-43.346000000000004,"lon":172.39000000000001},"spatial_shape":{"coordinates":[[[172.15,-43.45],[172.75,-43.45],[172.75,-43.19],[172.15,-43.19],[172.15,-43.45]]],"type":"Polygon"},"theme":[],"title":"Rangiora, Canterbury, New Zealand 2014","type":"dataset"},{"_score":17.624119,"_sort":[1788798991008,17.624119,0,"f4361ed4-0f26-49c0-9490-fd96cf6b62d7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3554-canterbury-timaru-rivers-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3555-canterbury-timaru-rivers-lidar-1m-dsm-2014/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G93R0QSF","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.2193.2","keyword":["aerial surveys","canterbury","geraldine","lidar","linz","new zealand","south island","temuka"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-01-13","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.16 -44.29, 171.16 -43.88, 171.50 -43.88, 171.50 -44.29, 171.16 -44.29))\"}","title":"Timaru Rivers, Canterbury, New Zealand 2014"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3554-canterbury-timaru-rivers-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3555-canterbury-timaru-rivers-lidar-1m-dsm-2014/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/7af31ed0-e4f3-4f4a-8da2-56924bf2a861","harvest_record_raw":"https://catalog.data.gov/harvest_record/7af31ed0-e4f3-4f4a-8da2-56924bf2a861/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.2193.2","keyword":["aerial surveys","canterbury","geraldine","lidar","linz","new zealand","south island","temuka"],"last_harvested_date":"2026-09-07T16:36:31.008910","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"timaru-rivers-canterbury-new-zealand-2014-f7141","spatial_centroid":{"lat":-44.126,"lon":171.296},"spatial_shape":{"coordinates":[[[171.16,-44.29],[171.5,-44.29],[171.5,-43.88],[171.16,-43.88],[171.16,-44.29]]],"type":"Polygon"},"theme":[],"title":"Timaru Rivers, Canterbury, New Zealand 2014","type":"dataset"},{"_score":17.958475,"_sort":[1788798990190,17.958475,0,"918d3380-382d-472c-8596-ce75d1a031d4"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by AAM in October and November 2015.  The datasets were generated by AAM and their subcontractors. The survey area includes Christchurch City  and large portions of the Selwyn district. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3587-canterbury-christchurch-and-selwyn-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3588-canterbury-christchurch-and-selwyn-lidar-1m-dsm-2015/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9JQ0XZV","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.032017.2193.1","keyword":["AAM","Christchurch","Selwyn","lidar","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-03-07","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.66 -43.91, 171.66 -43.27, 172.82 -43.27, 172.82 -43.91, 171.66 -43.91))\"}","title":"Christchurch and Selwyn, Canterbury, New Zealand 2015"},"description":"Lidar was captured for Environment Canterbury Regional Council by AAM in October and November 2015.  The datasets were generated by AAM and their subcontractors. The survey area includes Christchurch City  and large portions of the Selwyn district. Data management and distribution is by Land Information New Zealand.   Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3587-canterbury-christchurch-and-selwyn-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3588-canterbury-christchurch-and-selwyn-lidar-1m-dsm-2015/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/a26a0500-6040-4b9d-9a88-35bbf57c11c8","harvest_record_raw":"https://catalog.data.gov/harvest_record/a26a0500-6040-4b9d-9a88-35bbf57c11c8/raw","has_download":false,"has_spatial":true,"identifier":"OT.032017.2193.1","keyword":["AAM","Christchurch","Selwyn","lidar","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:30.190635","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"christchurch-and-selwyn-canterbury-new-zealand-2015-3082c","spatial_centroid":{"lat":-43.653999999999996,"lon":172.124},"spatial_shape":{"coordinates":[[[171.66,-43.91],[172.82,-43.91],[172.82,-43.27],[171.66,-43.27],[171.66,-43.91]]],"type":"Polygon"},"theme":[],"title":"Christchurch and Selwyn, Canterbury, New Zealand 2015","type":"dataset"},{"_score":17.335367,"_sort":[1788798989797,17.335367,0,"1b7f66af-bf96-49d2-9356-fc8eafbb2c09"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs,  Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand.      Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/     https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9PC3093","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042017.2193.1","keyword":["Hurunui","aerial surveys","canterbury","culverden","hanmer","lidar","linz","new zealand","pahau","south island","waiau"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-05-10","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.52 -42.91, 172.52 -42.50, 173.34 -42.50, 173.34 -42.91, 172.52 -42.91))\"}","title":"Hurunui Rivers, Canterbury, New Zealand 2013"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013.  The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs,  Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand.      Prepared DEM and DSM files are available through the LINZ Data Service  https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/     https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/a23181e7-2b60-4d61-99e4-75a8909ffee3","harvest_record_raw":"https://catalog.data.gov/harvest_record/a23181e7-2b60-4d61-99e4-75a8909ffee3/raw","has_download":false,"has_spatial":true,"identifier":"OT.042017.2193.1","keyword":["Hurunui","aerial surveys","canterbury","culverden","hanmer","lidar","linz","new zealand","pahau","south island","waiau"],"last_harvested_date":"2026-09-07T16:36:29.797526","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"hurunui-rivers-canterbury-new-zealand-2013-b6f4c","spatial_centroid":{"lat":-42.745999999999995,"lon":172.848},"spatial_shape":{"coordinates":[[[172.52,-42.91],[173.34,-42.91],[173.34,-42.5],[172.52,-42.5],[172.52,-42.91]]],"type":"Polygon"},"theme":[],"title":"Hurunui Rivers, Canterbury, New Zealand 2013","type":"dataset"},{"_score":16.022793,"_sort":[1788798989665,16.022793,0,"d44ec438-f7fb-4a85-9a89-95aae71efe11"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["422:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a polygon located 145 km West of Chico, CA. The polygon encloses approximately 57.1 square km. This survey was performed with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N931SA).Publications associated with this dataset can be found at NCALM's Data Tracking Center","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9MP517V","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122016.26910.1","keyword":["NCALM","california","critical zone observatory","czo","eel river","lidar"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2017-05-12","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-124.32 39.67, -124.32 40.68, -123.55 40.68, -123.55 39.67, -124.32 39.67))\"}","title":"Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo)"},"description":"This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a polygon located 145 km West of Chico, CA. The polygon encloses approximately 57.1 square km. This survey was performed with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N931SA).Publications associated with this dataset can be found at NCALM's Data Tracking Center","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/1c3b9b30-c8b0-4f75-aab4-4a18b8764a53","harvest_record_raw":"https://catalog.data.gov/harvest_record/1c3b9b30-c8b0-4f75-aab4-4a18b8764a53/raw","has_download":false,"has_spatial":true,"identifier":"OT.122016.26910.1","keyword":["NCALM","california","critical zone observatory","czo","eel river","lidar"],"last_harvested_date":"2026-09-07T16:36:29.665045","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"eel-river-critical-zone-observatory-july-2014-lidar-survey-1064-nm-angelo-3a508","spatial_centroid":{"lat":40.074,"lon":-124.01199999999999},"spatial_shape":{"coordinates":[[[-124.32,39.67],[-123.55,39.67],[-123.55,40.68],[-124.32,40.68],[-124.32,39.67]]],"type":"Polygon"},"theme":[],"title":"Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo)","type":"dataset"},{"_score":17.335367,"_sort":[1788798983969,17.335367,0,"00db8748-4a18-4767-bb97-91ab190a1718"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service:  Canterbury, New Zealand Digital Elevation Model 2016-2017 Canterbury, New Zealand Digital Surface Model 2016-2017","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9707ZJH","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.032019.2193.1","keyword":["aam","ashburton","canterbury","darfield","hakataramea","lidar","linz","methven","moeraki","new zealand","omarama","otematata","rakaia","rangitata","rolleston","south island","tekapo","waimate"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2019-03-21","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((169.78 -45.37, 169.78 -43.45, 172.65 -43.45, 172.65 -45.37, 169.78 -45.37))\"}","title":"Canterbury, New Zealand 2016-2017"},"description":"Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service:  Canterbury, New Zealand Digital Elevation Model 2016-2017 Canterbury, New Zealand Digital Surface Model 2016-2017","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/2407c741-78a4-4528-a1ff-61ff95ecd111","harvest_record_raw":"https://catalog.data.gov/harvest_record/2407c741-78a4-4528-a1ff-61ff95ecd111/raw","has_download":false,"has_spatial":true,"identifier":"OT.032019.2193.1","keyword":["aam","ashburton","canterbury","darfield","hakataramea","lidar","linz","methven","moeraki","new zealand","omarama","otematata","rakaia","rangitata","rolleston","south island","tekapo","waimate"],"last_harvested_date":"2026-09-07T16:36:23.969414","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"canterbury-new-zealand-2016-2017-fc611","spatial_centroid":{"lat":-44.602,"lon":170.928},"spatial_shape":{"coordinates":[[[169.78,-45.37],[172.65,-45.37],[172.65,-43.45],[169.78,-43.45],[169.78,-45.37]]],"type":"Polygon"},"theme":[],"title":"Canterbury, New Zealand 2016-2017","type":"dataset"},{"_score":16.677837,"_sort":[1788798980483,16.677837,0,"a303f533-29d8-4d46-8091-67bae9953982"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys between July 2018 to March 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Christchurch City and the Ashley River, as well as the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service:  Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Elevation Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Surface Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Raster Tile Index","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G91J97WQ","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.022020.2193.3","keyword":["aerial surveys","ashley river","canterbury","christchurch","lidar","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-02-26","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.39 -43.68, 172.39 -43.19, 172.82 -43.19, 172.82 -43.68, 172.39 -43.68))\"}","title":"Christchurch and Ashley River, Canterbury, New Zealand 2018-2019"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys between July 2018 to March 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Christchurch City and the Ashley River, as well as the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service:  Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Elevation Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Surface Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Raster Tile Index","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/229ba996-dd83-46a6-a888-671348f98c95","harvest_record_raw":"https://catalog.data.gov/harvest_record/229ba996-dd83-46a6-a888-671348f98c95/raw","has_download":false,"has_spatial":true,"identifier":"OT.022020.2193.3","keyword":["aerial surveys","ashley river","canterbury","christchurch","lidar","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:20.483376","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"christchurch-and-ashley-river-canterbury-new-zealand-2018-2019-741d7","spatial_centroid":{"lat":-43.483999999999995,"lon":172.56199999999998},"spatial_shape":{"coordinates":[[[172.39,-43.68],[172.82,-43.68],[172.82,-43.19],[172.39,-43.19],[172.39,-43.68]]],"type":"Polygon"},"theme":[],"title":"Christchurch and Ashley River, Canterbury, New Zealand 2018-2019","type":"dataset"},{"_score":19.22527,"_sort":[1788798977525,19.22527,0,"ccf431de-d3d6-468f-8556-bcf9c69b2955"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G92N50FT","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.082020.2193.1","keyword":["aerial surveys","amuri plain","ashburton","canterbury","fairlie foothills","lidar","linz","motunau","new zealand","pegasus","selwyn north","selwyn south","south island","waimate"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-08-05","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((170.69 -44.95, 170.69 -42.64, 173.12 -42.64, 173.12 -44.95, 170.69 -44.95))\"}","title":"Canterbury, New Zealand 2018-2019"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/2483cedd-8836-4ab5-8751-4684fe6fe850","harvest_record_raw":"https://catalog.data.gov/harvest_record/2483cedd-8836-4ab5-8751-4684fe6fe850/raw","has_download":false,"has_spatial":true,"identifier":"OT.082020.2193.1","keyword":["aerial surveys","amuri plain","ashburton","canterbury","fairlie foothills","lidar","linz","motunau","new zealand","pegasus","selwyn north","selwyn south","south island","waimate"],"last_harvested_date":"2026-09-07T16:36:17.525028","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"canterbury-new-zealand-2018-2019-566fe","spatial_centroid":{"lat":-44.025999999999996,"lon":171.66199999999998},"spatial_shape":{"coordinates":[[[170.69,-44.95],[173.12,-44.95],[173.12,-42.64],[170.69,-42.64],[170.69,-44.95]]],"type":"Polygon"},"theme":[],"title":"Canterbury, New Zealand 2018-2019","type":"dataset"},{"_score":20.273273,"_sort":[1788798976688,20.273273,0,"b748ea7e-b7d1-4ce2-b29f-6e31da9aad1e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys Limited from 18th July 2018 to 10th February 2019.  The dataset was generated by Aerial Surveys and their subcontractors. The survey covers Banks Peninsula. Data management and distribution is by Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G98W3BHC","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.092020.2193.2","keyword":["aerial surveys","banks peninsula","canterbury","lidar","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2020-10-14","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.55 -43.91, 172.55 -43.60, 173.14 -43.60, 173.14 -43.91, 172.55 -43.91))\"}","title":"Banks Peninsula, Canterbury, New Zealand 2018-2019"},"description":"Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys Limited from 18th July 2018 to 10th February 2019.  The dataset was generated by Aerial Surveys and their subcontractors. The survey covers Banks Peninsula. Data management and distribution is by Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/7e2775cc-aa98-424e-ae57-02b47569f8d2","harvest_record_raw":"https://catalog.data.gov/harvest_record/7e2775cc-aa98-424e-ae57-02b47569f8d2/raw","has_download":false,"has_spatial":true,"identifier":"OT.092020.2193.2","keyword":["aerial surveys","banks peninsula","canterbury","lidar","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:16.688345","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"banks-peninsula-canterbury-new-zealand-2018-2019-910c5","spatial_centroid":{"lat":-43.786,"lon":172.786},"spatial_shape":{"coordinates":[[[172.55,-43.91],[173.14,-43.91],[173.14,-43.6],[172.55,-43.6],[172.55,-43.91]]],"type":"Polygon"},"theme":[],"title":"Banks Peninsula, Canterbury, New Zealand 2018-2019","type":"dataset"},{"_score":21.186314,"_sort":[1788798972470,21.186314,0,"40be863e-1376-40f4-ad15-c6b69782a7e3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Southland by Aerial Surveys on the 3 September 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9930RCS","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042022.2193.3","keyword":["Oban","asl","linz","new zealand","rakiura","south island","southland","stewart island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2022-04-28","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((168.08 -46.92, 168.08 -46.85, 168.17 -46.85, 168.17 -46.92, 168.08 -46.92))\"}","title":"Oban, Stewart Island / Rakiura, New Zealand 2021"},"description":"LiDAR was captured for Environment Southland by Aerial Surveys on the 3 September 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/aa3ec5c4-4e60-479f-b13e-f246cd1685cc","harvest_record_raw":"https://catalog.data.gov/harvest_record/aa3ec5c4-4e60-479f-b13e-f246cd1685cc/raw","has_download":false,"has_spatial":true,"identifier":"OT.042022.2193.3","keyword":["Oban","asl","linz","new zealand","rakiura","south island","southland","stewart island"],"last_harvested_date":"2026-09-07T16:36:12.470028","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"oban-stewart-island-rakiura-new-zealand-2021-62973","spatial_centroid":{"lat":-46.892,"lon":168.116},"spatial_shape":{"coordinates":[[[168.08,-46.92],[168.17,-46.92],[168.17,-46.85],[168.08,-46.85],[168.08,-46.92]]],"type":"Polygon"},"theme":[],"title":"Oban, Stewart Island / Rakiura, New Zealand 2021","type":"dataset"},{"_score":18.183575,"_sort":[1788798968937,18.183575,0,"ea3be180-b026-433c-9cad-c32947d9885f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was commissioned by Toit\u016b Te Whenua Land Information New Zealand on behalf of GNS Science, Environment Canterbury Regional Council, Marlborough District Council, Kaikoura District Council, Hurunui District Council, Waka Kotahi NZ Transport Agency, and the Earthquake Commission for earthquake recovery purposes for Kaik\u014dura. LiDAR was captured by AAM Ltd after the 14 November 2016 earthquake. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9HD7SWJ","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.102022.2193.1","keyword":["Kaik&#333;ura","aam","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2022-10-11","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.87 -42.73, 172.87 -41.49, 174.29 -41.49, 174.29 -42.73, 172.87 -42.73))\"}","title":"Kaik&#333;ura, Canterbury, New Zealand 2016"},"description":"LiDAR was commissioned by Toit\u016b Te Whenua Land Information New Zealand on behalf of GNS Science, Environment Canterbury Regional Council, Marlborough District Council, Kaikoura District Council, Hurunui District Council, Waka Kotahi NZ Transport Agency, and the Earthquake Commission for earthquake recovery purposes for Kaik\u014dura. LiDAR was captured by AAM Ltd after the 14 November 2016 earthquake. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/0ae1f212-bc14-4c4f-ba39-f805ffb5a1b1","harvest_record_raw":"https://catalog.data.gov/harvest_record/0ae1f212-bc14-4c4f-ba39-f805ffb5a1b1/raw","has_download":false,"has_spatial":true,"identifier":"OT.102022.2193.1","keyword":["Kaik&#333;ura","aam","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:08.937244","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"kaik333ura-canterbury-new-zealand-2016-271ff","spatial_centroid":{"lat":-42.233999999999995,"lon":173.43800000000002},"spatial_shape":{"coordinates":[[[172.87,-42.73],[174.29,-42.73],[174.29,-41.49],[172.87,-41.49],[172.87,-42.73]]],"type":"Polygon"},"theme":[],"title":"Kaik&#333;ura, Canterbury, New Zealand 2016","type":"dataset"},{"_score":19.26786,"_sort":[1788798966962,19.26786,0,"645d75af-2041-422b-a8cb-8bfb436f587c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd from 1 May 2020 to 22 April 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9Q23XF8","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.122022.2193.1","keyword":["Canterbury","aerial surveys","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2022-12-05","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((169.54 -45.09, 169.54 -41.90, 174.07 -41.90, 174.07 -45.09, 169.54 -45.09))\"}","title":"Canterbury, New Zealand 2020-2025"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd from 1 May 2020 to 22 April 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/085ce5af-7dc6-4668-9c5b-394a6898b3cd","harvest_record_raw":"https://catalog.data.gov/harvest_record/085ce5af-7dc6-4668-9c5b-394a6898b3cd/raw","has_download":false,"has_spatial":true,"identifier":"OT.122022.2193.1","keyword":["Canterbury","aerial surveys","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:06.962996","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"canterbury-new-zealand-2020-2025-6f74d","spatial_centroid":{"lat":-43.814,"lon":171.352},"spatial_shape":{"coordinates":[[[169.54,-45.09],[174.07,-45.09],[174.07,-41.9],[169.54,-41.9],[169.54,-45.09]]],"type":"Polygon"},"theme":[],"title":"Canterbury, New Zealand 2020-2025","type":"dataset"},{"_score":30.906696,"_sort":[1788798962784,30.906696,0,"3c92d0a5-b46e-4b6c-84dc-a9eff57f46f5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Southland by Aerial Surveys from 15 December 2020 to 30 January 2024. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9TM78B1","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042023.2193.3","keyword":["aerial surveys","environment southland","gore","invercargill","linz","milford","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2023-05-15","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((167.21 -46.68, 167.21 -44.64, 169.28 -44.64, 169.28 -46.68, 167.21 -46.68))\"}","title":"Southland, New Zealand 2020-2024"},"description":"LiDAR was captured for Environment Southland by Aerial Surveys from 15 December 2020 to 30 January 2024. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/07fcdf69-7506-43ab-88ca-dad46564cb81","harvest_record_raw":"https://catalog.data.gov/harvest_record/07fcdf69-7506-43ab-88ca-dad46564cb81/raw","has_download":false,"has_spatial":true,"identifier":"OT.042023.2193.3","keyword":["aerial surveys","environment southland","gore","invercargill","linz","milford","new zealand","south island"],"last_harvested_date":"2026-09-07T16:36:02.784698","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"southland-new-zealand-2020-2024-b5b9a","spatial_centroid":{"lat":-45.864,"lon":168.038},"spatial_shape":{"coordinates":[[[167.21,-46.68],[169.28,-46.68],[169.28,-44.64],[167.21,-44.64],[167.21,-46.68]]],"type":"Polygon"},"theme":[],"title":"Southland, New Zealand 2020-2024","type":"dataset"},{"_score":19.401531,"_sort":[1788798960613,19.401531,0,"83d73ffc-f91f-4be5-a1d2-8ed12da70b6d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd on 2 July 2022, 3 July 2022 and 15 September 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Kaik\u014dura township, Clarence River and Waimakariri River. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9Z60M78","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.072023.2193.1","keyword":["Canterbury","aerial surveys","clarence","kaikoura","linz","new zealand","south island","waimakariri"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2023-07-21","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.04 -43.47, 172.04 -42.10, 173.95 -42.10, 173.95 -43.47, 172.04 -43.47))\"}","title":"Kaik&#333;ura and Waimakariri, Canterbury, New Zealand 2022"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd on 2 July 2022, 3 July 2022 and 15 September 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Kaik\u014dura township, Clarence River and Waimakariri River. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/4edbf5d4-1b89-4224-b51a-396a3151ce44","harvest_record_raw":"https://catalog.data.gov/harvest_record/4edbf5d4-1b89-4224-b51a-396a3151ce44/raw","has_download":false,"has_spatial":true,"identifier":"OT.072023.2193.1","keyword":["Canterbury","aerial surveys","clarence","kaikoura","linz","new zealand","south island","waimakariri"],"last_harvested_date":"2026-09-07T16:36:00.613437","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"kaik333ura-and-waimakariri-canterbury-new-zealand-2022-73de1","spatial_centroid":{"lat":-42.922000000000004,"lon":172.804},"spatial_shape":{"coordinates":[[[172.04,-43.47],[173.95,-43.47],[173.95,-42.1],[172.04,-42.1],[172.04,-43.47]]],"type":"Polygon"},"theme":[],"title":"Kaik&#333;ura and Waimakariri, Canterbury, New Zealand 2022","type":"dataset"},{"_score":20.263048,"_sort":[1788798959121,20.263048,0,"a1f181ef-d7d5-41e3-afaa-d6ec91b09dfc"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Canterbury Regional Council and Waimakariri District Council by Aerial Surveys Ltd on 14 June 2023 and 17 July 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G90V8B15","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.012024.2193.2","keyword":["Canterbury","aerial surveys","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2024-01-23","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.04 -43.47, 172.04 -43.35, 172.72 -43.35, 172.72 -43.47, 172.04 -43.47))\"}","title":"Waimakariri, Canterbury, New Zealand 2023"},"description":"LiDAR was captured for Environment Canterbury Regional Council and Waimakariri District Council by Aerial Surveys Ltd on 14 June 2023 and 17 July 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/0373bbde-3f2a-4e1b-ae1d-3f816515ddc7","harvest_record_raw":"https://catalog.data.gov/harvest_record/0373bbde-3f2a-4e1b-ae1d-3f816515ddc7/raw","has_download":false,"has_spatial":true,"identifier":"OT.012024.2193.2","keyword":["Canterbury","aerial surveys","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:35:59.121914","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"waimakariri-canterbury-new-zealand-2023-8bbb2","spatial_centroid":{"lat":-43.422000000000004,"lon":172.31199999999998},"spatial_shape":{"coordinates":[[[172.04,-43.47],[172.72,-43.47],[172.72,-43.35],[172.04,-43.35],[172.04,-43.47]]],"type":"Polygon"},"theme":[],"title":"Waimakariri, Canterbury, New Zealand 2023","type":"dataset"},{"_score":19.899193,"_sort":[1788798958993,19.899193,0,"248e5850-0c83-455b-a9b0-d9ade6312325"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Canterbury Regional Council and Selywn District Council by Landpro Ltd from 24 March 2023 to 04 May 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9W37TJS","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.012024.2193.3","keyword":["Canterbury","landpro","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2024-02-12","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((171.64 -43.91, 171.64 -43.28, 172.63 -43.28, 172.63 -43.91, 171.64 -43.91))\"}","title":"Selwyn, Canterbury, New Zealand 2023"},"description":"LiDAR was captured for Environment Canterbury Regional Council and Selywn District Council by Landpro Ltd from 24 March 2023 to 04 May 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/3af14cbf-c232-4d54-9771-69f718bca50c","harvest_record_raw":"https://catalog.data.gov/harvest_record/3af14cbf-c232-4d54-9771-69f718bca50c/raw","has_download":false,"has_spatial":true,"identifier":"OT.012024.2193.3","keyword":["Canterbury","landpro","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:35:58.993005","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"selwyn-canterbury-new-zealand-2023-98fbe","spatial_centroid":{"lat":-43.658,"lon":172.036},"spatial_shape":{"coordinates":[[[171.64,-43.91],[172.63,-43.91],[172.63,-43.28],[171.64,-43.28],[171.64,-43.91]]],"type":"Polygon"},"theme":[],"title":"Selwyn, Canterbury, New Zealand 2023","type":"dataset"},{"_score":20.568748,"_sort":[1788798958857,20.568748,0,"11e16ae7-7d79-4f05-a966-a9c307f28365"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Landpro Ltd from 18 February 2023 to 15 August 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9RB72TF","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.022024.2193.2","keyword":["Canterbury","landpro","linz","new zealand","south island"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2024-02-14","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((172.36 -43.91, 172.36 -43.60, 173.13 -43.60, 173.13 -43.91, 172.36 -43.91))\"}","title":"Banks Peninsula, Canterbury, New Zealand 2023"},"description":"LiDAR was captured for Environment Canterbury Regional Council by Landpro Ltd from 18 February 2023 to 15 August 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/4aad1fac-e861-4e29-9fe1-0f3543bf6c2d","harvest_record_raw":"https://catalog.data.gov/harvest_record/4aad1fac-e861-4e29-9fe1-0f3543bf6c2d/raw","has_download":false,"has_spatial":true,"identifier":"OT.022024.2193.2","keyword":["Canterbury","landpro","linz","new zealand","south island"],"last_harvested_date":"2026-09-07T16:35:58.857142","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"banks-peninsula-canterbury-new-zealand-2023-e73e3","spatial_centroid":{"lat":-43.786,"lon":172.668},"spatial_shape":{"coordinates":[[[172.36,-43.91],[173.13,-43.91],[173.13,-43.6],[172.36,-43.6],[172.36,-43.91]]],"type":"Polygon"},"theme":[],"title":"Banks Peninsula, Canterbury, New Zealand 2023","type":"dataset"},{"_score":18.42623,"_sort":[1788798958271,18.42623,0,"f87cd16f-0270-4afd-a894-dcb2c150404c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["422:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G92N50G8","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042024.32606.2","keyword":["Alaska","Eklutna","NCALM","glaciology","lidar","mass balance"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2024-05-07","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((-149.11 61.15, -149.11 61.29, -148.74 61.29, -148.74 61.15, -149.11 61.15))\"}","title":"Monitoring the Mass Balance of Eklutna Glacier, AK 2023"},"description":"This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/4ec3fa62-4ef8-4483-a761-7584f858a209","harvest_record_raw":"https://catalog.data.gov/harvest_record/4ec3fa62-4ef8-4483-a761-7584f858a209/raw","has_download":false,"has_spatial":true,"identifier":"OT.042024.32606.2","keyword":["Alaska","Eklutna","NCALM","glaciology","lidar","mass balance"],"last_harvested_date":"2026-09-07T16:35:58.271218","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"monitoring-the-mass-balance-of-eklutna-glacier-ak-2023-75860","spatial_centroid":{"lat":61.205999999999996,"lon":-148.96200000000002},"spatial_shape":{"coordinates":[[[-149.11,61.15],[-148.74,61.15],[-148.74,61.29],[-149.11,61.29],[-149.11,61.15]]],"type":"Polygon"},"theme":[],"title":"Monitoring the Mass Balance of Eklutna Glacier, AK 2023","type":"dataset"},{"_score":18.42623,"_sort":[1788798954596,18.42623,0,"fec7facc-1079-4727-bc8f-51023a423c03"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["000:00"],"contactPoint":{"@type":"vcard:Contact","fn":"OpenTopography Support","hasEmail":"mailto:info@opentopography.org"},"description":"LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 30th of April and 27th of June 2024. The project was funded by Ministry for the Environment (MFE) in response to the effects of the Auckland anniversary day flooding.  This dataset is being refined by Auckland Council. Once improvements to this dataset have been completed the dataset will be updated.  The datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5069/G9HH6H8T","mediaType":"text/html","title":"OpenTopography Data Download Page"}],"identifier":"OT.042025.2193.1","keyword":["Auckland","Manukau","New Zealand","Papakura","Pukekohe"],"license":"https://creativecommons.org/licenses/by/4.0","modified":"2025-04-16","programCode":["000:000"],"publisher":{"@type":"org:Organization","name":"OpenTopography"},"spatial":"{\"@type\": \"dct:Location\", \"bbox\": \"POLYGON((174.38 -37.30, 174.38 -36.56, 175.01 -36.56, 175.01 -37.30, 174.38 -37.30))\"}","title":"Auckland Part 1, New Zealand 2024"},"description":"LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 30th of April and 27th of June 2024. The project was funded by Ministry for the Environment (MFE) in response to the effects of the Auckland anniversary day flooding.  This dataset is being refined by Auckland Council. Once improvements to this dataset have been completed the dataset will be updated.  The datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.","distribution_titles":["OpenTopography Data Download Page"],"harvest_record":"https://catalog.data.gov/harvest_record/36930f6b-d051-48cb-8a4a-dc87941bb4c3","harvest_record_raw":"https://catalog.data.gov/harvest_record/36930f6b-d051-48cb-8a4a-dc87941bb4c3/raw","has_download":false,"has_spatial":true,"identifier":"OT.042025.2193.1","keyword":["Auckland","Manukau","New Zealand","Papakura","Pukekohe"],"last_harvested_date":"2026-09-07T16:35:54.596808","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"a2ea361e-1350-4df1-8d61-4c326b3394ae","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/opentopo.png","name":"OpenTopography","organization_type":"University","slug":"opentopography"},"parent_identifier":null,"popularity":0,"publisher":"OpenTopography","slug":"auckland-part-1-new-zealand-2024-0f431","spatial_centroid":{"lat":-37.004,"lon":174.632},"spatial_shape":{"coordinates":[[[174.38,-37.3],[175.01,-37.3],[175.01,-36.56],[174.38,-36.56],[174.38,-37.3]]],"type":"Polygon"},"theme":[],"title":"Auckland Part 1, New Zealand 2024","type":"dataset"},{"_score":9.257877,"_sort":[1788722544889,9.257877,19,"19ff698a-4da2-4dce-a377-7cd7b52e1aba"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains polygons depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as polygon features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Site_Feature_Areas_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","description":"Zipped file geodatabase","downloadURL":"https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/geospatial","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_POLYS_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"landingPage":"https://www.epa.gov/geospatial","language":["eng"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"-105.19895,37.785345,-115.457463,48.467","theme":["geospatial"],"title":"NPL Superfund Site Feature Areas (EPA)"},"description":"This GIS dataset contains polygons depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as polygon features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/476a890f-379c-4bb1-8655-65fd62419d06","harvest_record_raw":"https://catalog.data.gov/harvest_record/476a890f-379c-4bb1-8655-65fd62419d06/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/476a890f-379c-4bb1-8655-65fd62419d06/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_POLYS_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"last_harvested_date":"2026-09-06T19:22:24.889319","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":19,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-site-feature-areas-epa-ec447","spatial_centroid":{"lat":42.058006999999996,"lon":-109.30235520000001},"spatial_shape":{"coordinates":[[[-105.19895,37.785345],[-105.19895,48.467],[-115.457463,48.467],[-115.457463,37.785345],[-105.19895,37.785345]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Site Feature Areas (EPA)","type":"dataset"},{"_score":9.050686,"_sort":[1788722544188,9.050686,10,"daa82686-1435-49f3-93bc-568fc796f008"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains points depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as point features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Site_Feature_Locations_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","description":"Zipped file geodatabase","downloadURL":"https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/geospatial","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_POINTS_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"landingPage":"https://www.epa.gov/geospatial","language":["eng"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"-111.444749,40.658724,-115.547865,48.381483","theme":["geospatial"],"title":"NPL Superfund Site Feature Locations (EPA)"},"description":"This GIS dataset contains points depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as point features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/79edfa67-9d25-43a9-9b1a-4a7d5d43c5cf","harvest_record_raw":"https://catalog.data.gov/harvest_record/79edfa67-9d25-43a9-9b1a-4a7d5d43c5cf/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/79edfa67-9d25-43a9-9b1a-4a7d5d43c5cf/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_POINTS_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"last_harvested_date":"2026-09-06T19:22:24.188234","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":10,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-site-feature-locations-epa-8f85c","spatial_centroid":{"lat":43.7478276,"lon":-113.0859954},"spatial_shape":{"coordinates":[[[-111.444749,40.658724],[-111.444749,48.381483],[-115.547865,48.381483],[-115.547865,40.658724],[-111.444749,40.658724]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Site Feature Locations (EPA)","type":"dataset"},{"_score":9.257877,"_sort":[1788722543493,9.257877,1,"dda5cd5e-0c1a-4b4a-9e5e-d5597d8c3501"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains lines depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as linear features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Linear_Site_Features_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","description":"Zipped file geodatabase","downloadURL":"https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/geospatial","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_LINES_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"landingPage":"https://www.epa.gov/geospatial","language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"-105.529316,37.785585,-115.547865,48.381532","theme":["geospatial"],"title":"NPL Superfund Linear Site Features (EPA)"},"description":"This GIS dataset contains lines depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as linear features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/38a06d97-2a53-45ec-bb94-6b268f3fd4f8","harvest_record_raw":"https://catalog.data.gov/harvest_record/38a06d97-2a53-45ec-bb94-6b268f3fd4f8/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/38a06d97-2a53-45ec-bb94-6b268f3fd4f8/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_FEATURE_LINES_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"last_harvested_date":"2026-09-06T19:22:23.493937","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":1,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-linear-site-features-epa-87227","spatial_centroid":{"lat":42.023963800000004,"lon":-109.5367356},"spatial_shape":{"coordinates":[[[-105.529316,37.785585],[-105.529316,48.381532],[-115.547865,48.381532],[-115.547865,37.785585],[-105.529316,37.785585]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Linear Site Features (EPA)","type":"dataset"},{"_score":9.050686,"_sort":[1788722542787,9.050686,155,"73f8e9da-8df8-4df2-9c9f-eb4168b08148"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Site_Boundaries_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped file geodatabase"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_BOUNDARIES_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:109","FAC","Facilities","SEGS"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"151.785904,-14.359115,-176.810367,64.877949","theme":["geospatial"],"title":"NPL Superfund Site Boundaries (EPA)"},"description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service","Zipped file geodatabase"],"harvest_record":"https://catalog.data.gov/harvest_record/ef70b5ee-dff3-4b34-a880-c00b294c2252","harvest_record_raw":"https://catalog.data.gov/harvest_record/ef70b5ee-dff3-4b34-a880-c00b294c2252/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/ef70b5ee-dff3-4b34-a880-c00b294c2252/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_SITE_BOUNDARIES_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:109","FAC","Facilities","SEGS"],"last_harvested_date":"2026-09-06T19:22:22.787337","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":155,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-site-boundaries-epa-9a10b","spatial_centroid":{"lat":17.335710600000002,"lon":20.347395599999988},"spatial_shape":{"coordinates":[[[151.785904,-14.359115],[151.785904,64.877949],[-176.810367,64.877949],[-176.810367,-14.359115],[151.785904,-14.359115]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Site Boundaries (EPA)","type":"dataset"},{"_score":9.218695,"_sort":[1788722542004,9.218695,3,"f1f8471a-09f1-4b16-bd38-c95d42b61b15"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Operable Unit boundaries. The operable unit (OU) polygons represent an individual OU\u2019s perimeters, which are used to identify a portion of a Superfund site with which assessment and response actions are associated. CERCLA regulations (40 C.F.R. \u00a7 307.14) define an OU as a \u201cdiscrete portion of a remedial response [that] manages migration, or eliminates or mitigates a release, threat of release, or pathway of exposure. The cleanup of a site can be divided into a number of operable units . . . [that] may address geographical portions of a site.\u201d Determined on a site-specific basis, OUs may represent distinct geographic areas, media or releases. Note that OUs may overlap geographically when representing distinct media or areas of concern. OU boundaries become the building blocks of site boundaries. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Operable_Unit_Boundaries_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","description":"Zipped file geodatabase with all Superfund boundary layers.","downloadURL":"https://dmap-prod-oms-edc.s3.amazonaws.com/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/geospatial","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_OU_BOUNDARIES_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"landingPage":"https://www.epa.gov/geospatial","language":["eng"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"-69.168639,37.865102,-115.954,48.53041","theme":["geospatial"],"title":"NPL Superfund Operable Unit Boundaries (EPA)"},"description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Operable Unit boundaries. The operable unit (OU) polygons represent an individual OU\u2019s perimeters, which are used to identify a portion of a Superfund site with which assessment and response actions are associated. CERCLA regulations (40 C.F.R. \u00a7 307.14) define an OU as a \u201cdiscrete portion of a remedial response [that] manages migration, or eliminates or mitigates a release, threat of release, or pathway of exposure. The cleanup of a site can be divided into a number of operable units . . . [that] may address geographical portions of a site.\u201d Determined on a site-specific basis, OUs may represent distinct geographic areas, media or releases. Note that OUs may overlap geographically when representing distinct media or areas of concern. OU boundaries become the building blocks of site boundaries. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/cbd5d278-2419-461f-8a8e-3ccf5f6ce2de","harvest_record_raw":"https://catalog.data.gov/harvest_record/cbd5d278-2419-461f-8a8e-3ccf5f6ce2de/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/cbd5d278-2419-461f-8a8e-3ccf5f6ce2de/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_OU_BOUNDARIES_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","Facilities","SEGS"],"last_harvested_date":"2026-09-06T19:22:22.004180","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":3,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-operable-unit-boundaries-epa-1bb48","spatial_centroid":{"lat":42.1312252,"lon":-87.8827834},"spatial_shape":{"coordinates":[[[-69.168639,37.865102],[-69.168639,48.53041],[-115.954,48.53041],[-115.954,37.865102],[-69.168639,37.865102]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Operable Unit Boundaries (EPA)","type":"dataset"},{"_score":9.243522,"_sort":[1788722541259,9.243522,17,"65baa0b6-a024-4baa-b672-b3cd6d816b4e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Land and Emergency Management","hasEmail":"mailto:whalen.kelsey@epa.gov"},"describedByType":"application/octet-stream","description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Institutional Control boundaries. Institutional controls are non-engineered instruments, such as administrative and legal controls, that help to minimize the potential for exposure to contamination and/or protect the integrity of a response action. ICs typically are designed to work by limiting land and/or resource use or by providing information that helps modify or guide human behavior at a site. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/FAC_Superfund_Institutional_Control_Boundaries_EPA_Public/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","describedByType":"application/octet-stream","description":"Zipped File Geodatabase including all Superfund Boundary Layers.","downloadURL":"https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip","format":"ZIP","mediaType":"application/zip","title":"Superfund Boundary Download Package"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/geospatial","describedByType":"application/octet-stream","mediaType":"text/html"},{"@type":"dcat:Distribution","accessURL":"http://www.epa.gov/superfund/","describedByType":"application/octet-stream","mediaType":"text/html"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_IC_BOUNDARIES_SF.xml","issued":"2018-03-06T00:00:00.000+00:00","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","SEGS"],"landingPage":"https://www.epa.gov/geospatial","language":["eng"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2018-03-06T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"spatial":"-67.356526,37.861155,-112.180178,48.220306","theme":["geospatial"],"title":"NPL Superfund Institutional Control Boundaries (EPA)"},"description":"This GIS dataset contains polygons depicting U.S. EPA Superfund Institutional Control boundaries. Institutional controls are non-engineered instruments, such as administrative and legal controls, that help to minimize the potential for exposure to contamination and/or protect the integrity of a response action. ICs typically are designed to work by limiting land and/or resource use or by providing information that helps modify or guide human behavior at a site. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.","distribution_titles":["EPA GeoPlatform Hosted Feature Service","Superfund Boundary Download Package"],"harvest_record":"https://catalog.data.gov/harvest_record/58395830-ec3d-4e67-9343-34e5526c7687","harvest_record_raw":"https://catalog.data.gov/harvest_record/58395830-ec3d-4e67-9343-34e5526c7687/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/58395830-ec3d-4e67-9343-34e5526c7687/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_Superfund_NPL_IC_BOUNDARIES_SF.xml","keyword":["United States","Cleanup","Contaminant","Environment","Facilities","Health","Human","Impact","Management","Monitoring","Regulatory","Remediation","Sites","Toxics","020:108","FAC","SEGS"],"last_harvested_date":"2026-09-06T19:22:21.259062","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":17,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"npl-superfund-institutional-control-boundaries-epa-bce47","spatial_centroid":{"lat":42.0048154,"lon":-85.2859868},"spatial_shape":{"coordinates":[[[-67.356526,37.861155],[-67.356526,48.220306],[-112.180178,48.220306],[-112.180178,37.861155],[-67.356526,37.861155]]],"type":"Polygon"},"theme":["geospatial"],"title":"NPL Superfund Institutional Control Boundaries (EPA)","type":"dataset"},{"_score":7.209358,"_sort":[1788722540549,7.209358,22,"e28cfbe7-e7d4-4c6e-b8a3-8c6a3dc89cc6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"non-public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information","hasEmail":"mailto:hook.james@epa.gov"},"describedByType":"application/octet-stream","description":"Accidents, spills, leaks, and past improper disposal and handling of hazardous materials and wastes have resulted in tens of thousands of sites across our country that have contaminated our land, water (groundwater and surface water), and air (indoor and outdoor). EPA and its state and territorial partners have developed a variety of cleanup programs to assess and, where necessary, clean up these contaminated sites. CIMC (www.epa.gov/cimc) brings together the data from many of these cleanup programs and lets people map, list and access cleanup progress profiles for sites across the US so that people can know what is going on in their communities.     The CIMC web service provides access to the mapping component of the CIMC web application. The Cleanups in My Community (CIMC) web service contains the following map layers: Incidents of National Significance (from the epa.gov website) \u2013 with links to the relevant web pages, Superfund NPL sites (propose, final and deleted)(from SEMS) \u2013 with links to the cleanup profiles, RCRA Corrective Action Sites (by various cleanup categories)(2020 baseline facilities only, not all RCRA sites because RCRA sites that are not corrective action are not cleanups)(from RCRAInfo) \u2013 with links to the cleanup profiles, Brownfields Properties (by grant type)(from ACRES) \u2013 with links to the cleanup profiles, Brownfields Grant jurisdictions (polygons)(from ACRES) \u2013 with links to the grant information, Federal facilities that are also Superfund or RCRA CA sites and BRAC (from the epa.gov page for federal facilities), Recovery Act locations (for Superfund and Brownfields only) (from SEMS and ACRES), Emergency removals (from EPAOSC.net). The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://dmap-prod-oms-edc.s3.amazonaws.com/index.html#OLEM/OLEM-OPM/","describedByType":"application/octet-stream","mediaType":"text/html","title":"Zipped File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://epa.maps.arcgis.com/home/item.html?id=d5b2a9f54e014424aa324263dd32b5bf","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Item page"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/cleanups/cleanups-my-community","describedByType":"application/octet-stream","mediaType":"text/html","title":"Cleanups in My Community mapping application"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Cleanups_in_my_Community_Sites/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_CIMC_sites.xml","issued":"2013-01-01T00:00:00.000+00:00","keyword":["United States","Sites","Cleanup","Emergency","Environment","Facilities","Ground","Ground Water","Hazardous Waste","Health","Human","Impact","Land","Regulatory","Remediation","Emergency Response","Risk","Spills","Toxics","Waste","020:006","020:088","020:089","020:105","020:106","020:107","020:108","020:109","020:111","Live Data and Maps"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2013-01-01T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Land and Emergency Management (OLEM)"},"rights":"otherRestrictions, unclassified","spatial":"151.78372,-14.3601,-176.6525,70.455278","theme":["geospatial"],"title":"Cleanups In My Community (CIMC) - Sites, National Layer"},"description":"Accidents, spills, leaks, and past improper disposal and handling of hazardous materials and wastes have resulted in tens of thousands of sites across our country that have contaminated our land, water (groundwater and surface water), and air (indoor and outdoor). EPA and its state and territorial partners have developed a variety of cleanup programs to assess and, where necessary, clean up these contaminated sites. CIMC (www.epa.gov/cimc) brings together the data from many of these cleanup programs and lets people map, list and access cleanup progress profiles for sites across the US so that people can know what is going on in their communities.     The CIMC web service provides access to the mapping component of the CIMC web application. The Cleanups in My Community (CIMC) web service contains the following map layers: Incidents of National Significance (from the epa.gov website) \u2013 with links to the relevant web pages, Superfund NPL sites (propose, final and deleted)(from SEMS) \u2013 with links to the cleanup profiles, RCRA Corrective Action Sites (by various cleanup categories)(2020 baseline facilities only, not all RCRA sites because RCRA sites that are not corrective action are not cleanups)(from RCRAInfo) \u2013 with links to the cleanup profiles, Brownfields Properties (by grant type)(from ACRES) \u2013 with links to the cleanup profiles, Brownfields Grant jurisdictions (polygons)(from ACRES) \u2013 with links to the grant information, Federal facilities that are also Superfund or RCRA CA sites and BRAC (from the epa.gov page for federal facilities), Recovery Act locations (for Superfund and Brownfields only) (from SEMS and ACRES), Emergency removals (from EPAOSC.net). The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.","distribution_titles":["Zipped File Geodatabase","EPA GeoPlatform Item page","Cleanups in My Community mapping application","EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/b548d434-b6fc-4eb2-b31a-a8cea686875d","harvest_record_raw":"https://catalog.data.gov/harvest_record/b548d434-b6fc-4eb2-b31a-a8cea686875d/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/b548d434-b6fc-4eb2-b31a-a8cea686875d/transformed","has_download":false,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_CIMC_sites.xml","keyword":["United States","Sites","Cleanup","Emergency","Environment","Facilities","Ground","Ground Water","Hazardous Waste","Health","Human","Impact","Land","Regulatory","Remediation","Emergency Response","Risk","Spills","Toxics","Waste","020:006","020:088","020:089","020:105","020:106","020:107","020:108","020:109","020:111","Live Data and Maps"],"last_harvested_date":"2026-09-06T19:22:20.549512","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":22,"publisher":"U.S. EPA Office of Land and Emergency Management (OLEM)","slug":"cleanups-in-my-community-cimc-sites-national-layer","spatial_centroid":{"lat":19.566051200000004,"lon":20.409231999999992},"spatial_shape":{"coordinates":[[[151.78372,-14.3601],[151.78372,70.455278],[-176.6525,70.455278],[-176.6525,-14.3601],[151.78372,-14.3601]]],"type":"Polygon"},"theme":["geospatial"],"title":"Cleanups In My Community (CIMC) - Sites, National Layer","type":"dataset"},{"_score":7.978773,"_sort":[1788722539824,7.978773,4,"ac0f1e0a-3e19-483f-a51c-82f644188cc1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"non-public","accrualPeriodicity":"R/P1M","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency","hasEmail":"mailto:hook.james@epa.gov"},"describedByType":"application/octet-stream","description":"This data layer provides access to Brownfields Grant Jurisdictions as part of the CIMC web service.  The data represent polygonal boundaries that show different types of grants.  Only properties benefiting from EPA Brownfields grant funding and technical assistance appear in Cleanups in My Community. There are different types of grants and each grant covers a specific area of geography. Grant areas can overlap, and often do. On the map, Brownfields jurisdictions will be shown as colored boundaries. Grant Jurisdictions have their own reports and fact sheet. For more information on Brownfields grants, see Brownfields Grants and Funding at https://www.epa.gov/brownfields/types-brownfields-grant-funding.    The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://dmap-prod-oms-edc.s3.amazonaws.com/index.html#OLEM/OLEM-OPM/","describedByType":"application/octet-stream","mediaType":"text/html","title":"Zipped File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://epa.maps.arcgis.com/home/item.html?id=721205994714418da71ef3cfd01ab02e","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Item page"},{"@type":"dcat:Distribution","accessURL":"https://www.epa.gov/cleanups/cleanups-my-community","describedByType":"application/octet-stream","mediaType":"text/html","title":"Cleanups in My Community mapping application"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Brownfields/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_CIMC_11_BrownfieldsGrants.xml","issued":"2013-01-01T00:00:00.000+00:00","keyword":["United States","Sites","Cleanup","Emergency","Environment","Facilities","Ground","Ground Water","Hazardous Waste","Health","Human","Impact","Land","Regulatory","Remediation","Emergency Response","Risk","Spills","Toxics","Waste","020:006","020:007","020:009","Live Data and Maps"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2013-01-01T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Land and Emergency Management (OLEM)"},"rights":"otherRestrictions, unclassified","spatial":"151.78372,-14.3601,-176.6525,70.455278","theme":["geospatial"],"title":"Cleanups In My Community (CIMC) - Brownfields Grant Jurisdictions, National Layer"},"description":"This data layer provides access to Brownfields Grant Jurisdictions as part of the CIMC web service.  The data represent polygonal boundaries that show different types of grants.  Only properties benefiting from EPA Brownfields grant funding and technical assistance appear in Cleanups in My Community. There are different types of grants and each grant covers a specific area of geography. Grant areas can overlap, and often do. On the map, Brownfields jurisdictions will be shown as colored boundaries. Grant Jurisdictions have their own reports and fact sheet. For more information on Brownfields grants, see Brownfields Grants and Funding at https://www.epa.gov/brownfields/types-brownfields-grant-funding.    The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.","distribution_titles":["Zipped File Geodatabase","EPA GeoPlatform Item page","Cleanups in My Community mapping application","EPA GeoPlatform Hosted Feature Service"],"harvest_record":"https://catalog.data.gov/harvest_record/922936a2-958e-40e7-82fa-fa8013163d82","harvest_record_raw":"https://catalog.data.gov/harvest_record/922936a2-958e-40e7-82fa-fa8013163d82/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/922936a2-958e-40e7-82fa-fa8013163d82/transformed","has_download":false,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/olem-harvest_CIMC_11_BrownfieldsGrants.xml","keyword":["United States","Sites","Cleanup","Emergency","Environment","Facilities","Ground","Ground Water","Hazardous Waste","Health","Human","Impact","Land","Regulatory","Remediation","Emergency Response","Risk","Spills","Toxics","Waste","020:006","020:007","020:009","Live Data and Maps"],"last_harvested_date":"2026-09-06T19:22:19.824035","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":4,"publisher":"U.S. EPA Office of Land and Emergency Management (OLEM)","slug":"cleanups-in-my-community-cimc-brownfields-grant-jurisdictions-national-layer","spatial_centroid":{"lat":19.566051200000004,"lon":20.409231999999992},"spatial_shape":{"coordinates":[[[151.78372,-14.3601],[151.78372,70.455278],[-176.6525,70.455278],[-176.6525,-14.3601],[151.78372,-14.3601]]],"type":"Polygon"},"theme":["geospatial"],"title":"Cleanups In My Community (CIMC) - Brownfields Grant Jurisdictions, National Layer","type":"dataset"},{"_score":9.04347,"_sort":[1788722539101,9.04347,7,"297e0aed-27b5-4e24-860c-88d8c6c8d6c8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Pesticide Programs","hasEmail":"mailto:connolly.jennifer@epa.gov"},"describedByType":"application/octet-stream","description":"The Endangered Species Act (ESA) provides a program for the conservation of threatened and endangered species and the habitats in which they are found. The U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service of U.S. National Oceanic and Atmospheric Organization (NMFS/NOAA) lead federal implementation of the ESA, though they are supported by other federal agencies, including the U.S. Environmental Protection Agency (US EPA). Section 7 of the ESA directs all Federal agencies to conserve endangered and threatened species and to use their authorities to ensure actions do not jeopardized the further existence of threatened and endangered species or adversely modify designated critical habitats. As part of the Section 7 coordination, federal agencies work with USFWS and NMFS to identify species found within the jurisdiction of the United that could be affected by actions carried out by the agency.    Of note, the US EPA\u2019s Office of Pesticide Programs (OPP) is responsible for ensuring that Agency actions under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) are in compliance with ESA. OPP determines if ESA-listed species or their designated critical habitat may be affected by pesticide products. Pesticide products that \u201cmay affect\u201d an ESA-listed species or its designated critical habitat may be subject to additional regulation.     Species ranges represent anywhere an individual of the listed species could be found based on the best available information at the time of delineation. As defined in ESA, critical habitat delineates habitat characteristics in specific geographical areas and may be occupied or unoccupied by a threatened or endangered species at the time of listing. These areas must contain physical or biological features essential to conservation of a species and may require special management considerations or protection. Critical habitat may also include areas that are not currently occupied by the species but that may be needed for their recovery. Range areas represent more generalized habitat where species are or could be found based on the best available information. For some species, best available information is based on site specific surveys. For others, it will be historical location information based on political boundaries. These areas are, therefore, less geographically explicit than critical habitat. Consideration of both the species range and critical habitat ensures the conservation of the ecosystems upon which endangered and threatened species depend.    To support EPA\u2019s implementation of ESA, critical habitat and range data for species listed under ESA Section 7 were obtained by the US EPA from the USFWS Environmental Conservation Online System (ECOS) database in November 2020. These data were supplemented with areas provided by NOAA\u2019s National Marine Fisheries Service (NMFS) where NOAA has species authority. For NMFS species not found in either location, a request was made directly to the NMFS scientists. The last download of the species locations occurred in November 2020.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Critical_Habitat/FeatureServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA GeoPlatform Hosted Feature Service"},{"@type":"dcat:Distribution","accessURL":"https://epa.maps.arcgis.com/home/item.html?id=d46156cc921d4b41923c70c280b82458","describedByType":"application/octet-stream","mediaType":"text/html","title":"EPA Geoplatform Item page"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/ocspp-geo-records_Endangered_Species_Critical_Habitat_Areas.xml","issued":"2022-10-01T00:00:00.000+00:00","keyword":["United States","Agriculture","Biology","Conservation","Ecology","Ecosystem","Environment","Exposure","Hazards","Land","Modeling","Pesticides","Regulatory","Risk","Toxics","Water","020:083","Downloadable Data"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2022-10-01T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Office of Pesticide Programs"},"spatial":"179.776438,-14.548618,-179.146415,74.024896","theme":["geospatial"],"title":"Critical Habitat for Endangered Species"},"description":"The Endangered Species Act (ESA) provides a program for the conservation of threatened and endangered species and the habitats in which they are found. The U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service of U.S. National Oceanic and Atmospheric Organization (NMFS/NOAA) lead federal implementation of the ESA, though they are supported by other federal agencies, including the U.S. Environmental Protection Agency (US EPA). Section 7 of the ESA directs all Federal agencies to conserve endangered and threatened species and to use their authorities to ensure actions do not jeopardized the further existence of threatened and endangered species or adversely modify designated critical habitats. As part of the Section 7 coordination, federal agencies work with USFWS and NMFS to identify species found within the jurisdiction of the United that could be affected by actions carried out by the agency.    Of note, the US EPA\u2019s Office of Pesticide Programs (OPP) is responsible for ensuring that Agency actions under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) are in compliance with ESA. OPP determines if ESA-listed species or their designated critical habitat may be affected by pesticide products. Pesticide products that \u201cmay affect\u201d an ESA-listed species or its designated critical habitat may be subject to additional regulation.     Species ranges represent anywhere an individual of the listed species could be found based on the best available information at the time of delineation. As defined in ESA, critical habitat delineates habitat characteristics in specific geographical areas and may be occupied or unoccupied by a threatened or endangered species at the time of listing. These areas must contain physical or biological features essential to conservation of a species and may require special management considerations or protection. Critical habitat may also include areas that are not currently occupied by the species but that may be needed for their recovery. Range areas represent more generalized habitat where species are or could be found based on the best available information. For some species, best available information is based on site specific surveys. For others, it will be historical location information based on political boundaries. These areas are, therefore, less geographically explicit than critical habitat. Consideration of both the species range and critical habitat ensures the conservation of the ecosystems upon which endangered and threatened species depend.    To support EPA\u2019s implementation of ESA, critical habitat and range data for species listed under ESA Section 7 were obtained by the US EPA from the USFWS Environmental Conservation Online System (ECOS) database in November 2020. These data were supplemented with areas provided by NOAA\u2019s National Marine Fisheries Service (NMFS) where NOAA has species authority. For NMFS species not found in either location, a request was made directly to the NMFS scientists. The last download of the species locations occurred in November 2020.","distribution_titles":["EPA GeoPlatform Hosted Feature Service","EPA Geoplatform Item page"],"harvest_record":"https://catalog.data.gov/harvest_record/a7f83037-54ab-4439-a1fa-93285d07daf5","harvest_record_raw":"https://catalog.data.gov/harvest_record/a7f83037-54ab-4439-a1fa-93285d07daf5/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/a7f83037-54ab-4439-a1fa-93285d07daf5/transformed","has_download":false,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/ocspp-geo-records_Endangered_Species_Critical_Habitat_Areas.xml","keyword":["United States","Agriculture","Biology","Conservation","Ecology","Ecosystem","Environment","Exposure","Hazards","Land","Modeling","Pesticides","Regulatory","Risk","Toxics","Water","020:083","Downloadable Data"],"last_harvested_date":"2026-09-06T19:22:19.101183","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":7,"publisher":"U.S. Environmental Protection Agency, Office of Pesticide Programs","slug":"critical-habitat-for-endangered-species","spatial_centroid":{"lat":20.880787599999998,"lon":36.20729680000001},"spatial_shape":{"coordinates":[[[179.776438,-14.548618],[179.776438,74.024896],[-179.146415,74.024896],[-179.146415,-14.548618],[179.776438,-14.548618]]],"type":"Polygon"},"theme":["geospatial"],"title":"Critical Habitat for Endangered Species","type":"dataset"},{"_score":12.875097,"_sort":[1788722537768,12.875097,10,"6fb419d7-9511-4360-b3f0-6216d44e5e4e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1M","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Headquarters","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Toxic Release Inventory (TRI) System. TRI is a publicly available EPA database reported annually by certain covered industry groups, as well as federal facilities. It contains information about more than 650 toxic chemicals that are being used, manufactured, treated, transported, or released into the environment, and includes information about waste management and pollution prevention activities. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to TRI facilities once the TRI data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_TRI_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["New Hampshire","South Dakota","Indiana","Massachusetts","Alaska","Wisconsin","United States (US) (USA)","Utah","Puerto Rico","New Mexico","Iowa","conterminous United States (CONUS)","Hawaii","Tennessee","Mississippi","Maine","Arkansas","North Dakota","Oklahoma","Georgia","Nebraska","Texas","Rhode Island","Pennsylvania","New York","Alabama","Ohio","Oregon","Minnesota","California","Florida","Washington","Maryland","North Carolina","Kansas","Montana","Wyoming","Vermont","Virgin Islands","Arizona","American Samoa","South Carolina","Colorado","Nevada","District of Columbia","Washington DC","Virginia","Idaho","Louisiana","West Virginia","Missouri","Illinois","Connecticut","Delaware","Michigan","Kentucky","New Jersey","Facilities","Waste","Sites","Remediation","Resources","Environmental Management","Cleanup","Contaminant","Compliance","Regulatory","Emergency Response","Toxics","ESF10"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"temporal":"2020-12-12T00:00:00+00:00/2020-12-12T00:00:00+00:00","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_TRI"},"description":"This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Toxic Release Inventory (TRI) System. TRI is a publicly available EPA database reported annually by certain covered industry groups, as well as federal facilities. It contains information about more than 650 toxic chemicals that are being used, manufactured, treated, transported, or released into the environment, and includes information about waste management and pollution prevention activities. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to TRI facilities once the TRI data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/de509d49-53db-4e72-879b-f1aec4161459","harvest_record_raw":"https://catalog.data.gov/harvest_record/de509d49-53db-4e72-879b-f1aec4161459/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/de509d49-53db-4e72-879b-f1aec4161459/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_TRI_metadata.xml","keyword":["New Hampshire","South Dakota","Indiana","Massachusetts","Alaska","Wisconsin","United States (US) (USA)","Utah","Puerto Rico","New Mexico","Iowa","conterminous United States (CONUS)","Hawaii","Tennessee","Mississippi","Maine","Arkansas","North Dakota","Oklahoma","Georgia","Nebraska","Texas","Rhode Island","Pennsylvania","New York","Alabama","Ohio","Oregon","Minnesota","California","Florida","Washington","Maryland","North Carolina","Kansas","Montana","Wyoming","Vermont","Virgin Islands","Arizona","American Samoa","South Carolina","Colorado","Nevada","District of Columbia","Washington DC","Virginia","Idaho","Louisiana","West Virginia","Missouri","Illinois","Connecticut","Delaware","Michigan","Kentucky","New Jersey","Facilities","Waste","Sites","Remediation","Resources","Environmental Management","Cleanup","Contaminant","Compliance","Regulatory","Emergency Response","Toxics","ESF10"],"last_harvested_date":"2026-09-06T19:22:17.768373","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":10,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"epa-facility-registry-service-frs-er_tri","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_TRI","type":"dataset"},{"_score":28.215118,"_sort":[1788722537057,28.215118,8,"377f56f8-58ef-4f8b-bb46-f78317e7fdf7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_STATE_ID_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_STATE_ID"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/c588bb43-5f76-4025-bef6-fd6351b5279a","harvest_record_raw":"https://catalog.data.gov/harvest_record/c588bb43-5f76-4025-bef6-fd6351b5279a/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/c588bb43-5f76-4025-bef6-fd6351b5279a/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_STATE_ID_metadata.xml","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"last_harvested_date":"2026-09-06T19:22:17.057229","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":8,"publisher":"U.S. Environmental Protection Agency, Headquarters","slug":"epa-facility-registry-service-frs-er_state_id","spatial_centroid":{"lat":28.675746097999998,"lon":-62.894729278},"spatial_shape":{"coordinates":[[[-12.68151645,6.65223303],[-12.68151645,61.7110157],[-138.21454852,61.7110157],[-138.21454852,6.65223303],[-12.68151645,6.65223303]]],"type":"Polygon"},"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_STATE_ID","type":"dataset"},{"_score":28.215118,"_sort":[1788722536342,28.215118,7,"fa1e4301-1b10-442c-b35c-e11f0fd1f39f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_SIC_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_SIC"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/ec923ae3-49a8-483f-9f5f-184bee17a02c","harvest_record_raw":"https://catalog.data.gov/harvest_record/ec923ae3-49a8-483f-9f5f-184bee17a02c/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/ec923ae3-49a8-483f-9f5f-184bee17a02c/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_SIC_metadata.xml","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"last_harvested_date":"2026-09-06T19:22:16.342086","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":7,"publisher":"U.S. Environmental Protection Agency, Headquarters","slug":"epa-facility-registry-service-frs-er_sic","spatial_centroid":{"lat":28.675746097999998,"lon":-62.894729278},"spatial_shape":{"coordinates":[[[-12.68151645,6.65223303],[-12.68151645,61.7110157],[-138.21454852,61.7110157],[-138.21454852,6.65223303],[-12.68151645,6.65223303]]],"type":"Polygon"},"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_SIC","type":"dataset"},{"_score":28.215118,"_sort":[1788722534345,28.215118,9,"0a8915db-1790-4008-b019-072b2610e29a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_NAICS_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_NAICS"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/cc4fbfcb-08c6-4de6-a600-5133d0105ddd","harvest_record_raw":"https://catalog.data.gov/harvest_record/cc4fbfcb-08c6-4de6-a600-5133d0105ddd/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/cc4fbfcb-08c6-4de6-a600-5133d0105ddd/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_NAICS_metadata.xml","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"last_harvested_date":"2026-09-06T19:22:14.345805","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":9,"publisher":"U.S. Environmental Protection Agency, Headquarters","slug":"epa-facility-registry-service-frs-er_naics","spatial_centroid":{"lat":28.675746097999998,"lon":-62.894729278},"spatial_shape":{"coordinates":[[[-12.68151645,6.65223303],[-12.68151645,61.7110157],[-138.21454852,61.7110157],[-138.21454852,6.65223303],[-12.68151645,6.65223303]]],"type":"Polygon"},"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_NAICS","type":"dataset"},{"_score":28.215118,"_sort":[1788722532963,28.215118,1,"58bdea70-d0f2-43e7-995c-6e8986ba9a9c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CONTACTS_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CONTACTS"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/f6bbe790-eec1-49e4-92e1-f2fec3716824","harvest_record_raw":"https://catalog.data.gov/harvest_record/f6bbe790-eec1-49e4-92e1-f2fec3716824/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/f6bbe790-eec1-49e4-92e1-f2fec3716824/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CONTACTS_metadata.xml","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"last_harvested_date":"2026-09-06T19:22:12.963633","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Environmental Protection Agency, Headquarters","slug":"epa-facility-registry-service-frs-er_contacts","spatial_centroid":{"lat":28.675746097999998,"lon":-62.894729278},"spatial_shape":{"coordinates":[[[-12.68151645,6.65223303],[-12.68151645,61.7110157],[-138.21454852,61.7110157],[-138.21454852,6.65223303],[-12.68151645,6.65223303]]],"type":"Polygon"},"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CONTACTS","type":"dataset"},{"_score":28.12356,"_sort":[1788722532199,28.12356,4,"c1ff7bf1-4e8a-4d7e-bdf7-1bf3f0cfaf6a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CHEMICALS_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CHEMICALS"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/d23309c7-8ce4-4bbc-9303-a2ccf57f409c","harvest_record_raw":"https://catalog.data.gov/harvest_record/d23309c7-8ce4-4bbc-9303-a2ccf57f409c/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/d23309c7-8ce4-4bbc-9303-a2ccf57f409c/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CHEMICALS_metadata.xml","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"last_harvested_date":"2026-09-06T19:22:12.199190","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":4,"publisher":"U.S. Environmental Protection Agency, Headquarters","slug":"epa-facility-registry-service-frs-er_chemicals","spatial_centroid":{"lat":28.675746097999998,"lon":-62.894729278},"spatial_shape":{"coordinates":[[[-12.68151645,6.65223303],[-12.68151645,61.7110157],[-138.21454852,61.7110157],[-138.21454852,6.65223303],[-12.68151645,6.65223303]]],"type":"Polygon"},"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CHEMICALS","type":"dataset"},{"_score":10.978035,"_sort":[1788722531303,10.978035,3,"e88e8188-68ac-4d78-a133-487bd3f20b90"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1M","contactPoint":{"@type":"vcard:Contact","fn":"U.S. Environmental Protection Agency, Headquarters","hasEmail":"mailto:frs_support@epa.gov"},"describedByType":"application/octet-stream","description":"This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) non-NPL sites. Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CERCLIS_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Iowa","Pennsylvania","Hawaii","Arizona","Utah","Montana","North Carolina","Rhode Island","conterminous United States (CONUS)","North Dakota","California","New Jersey","Washington","Mississippi","Tennessee","Indiana","Oregon","Michigan","Washington DC","Colorado","Minnesota","Wisconsin","Texas","Missouri","Arkansas","Nevada","Massachusetts","Virgin Islands","Oklahoma","Ohio","Maine","New Hampshire","Kansas","Louisiana","New Mexico","American Samoa","Idaho","Alaska","Illinois","Florida","Alabama","Maryland","Puerto Rico","South Carolina","Nebraska","Virginia","New York","Kentucky","Connecticut","United States (US) (USA)","Wyoming","West Virginia","South Dakota","District of Columbia","Delaware","Vermont","Georgia","020:072","Facilities","Remediation","Toxics","Regulatory","Emergency Response","Sites","Contaminant","Cleanup","Resources","Environmental Management","Compliance","Waste"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2016-06-29T00:00:00.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. EPA Office of Environmental Information (OEI)"},"temporal":"2020-12-12T00:00:00+00:00/2020-12-12T00:00:00+00:00","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CERCLIS"},"description":"This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) non-NPL sites. Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution_titles":["Zipped File Geodatabase (Accessible on the EPA Intranet only)","ArcGIS Server Map Services (Accessible on the EPA Intranet only)"],"harvest_record":"https://catalog.data.gov/harvest_record/9ebf2462-d958-44f2-8b59-22589ba924d4","harvest_record_raw":"https://catalog.data.gov/harvest_record/9ebf2462-d958-44f2-8b59-22589ba924d4/raw","harvest_record_transformed":"https://catalog.data.gov/harvest_record/9ebf2462-d958-44f2-8b59-22589ba924d4/transformed","has_download":true,"has_spatial":true,"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CERCLIS_metadata.xml","keyword":["Iowa","Pennsylvania","Hawaii","Arizona","Utah","Montana","North Carolina","Rhode Island","conterminous United States (CONUS)","North Dakota","California","New Jersey","Washington","Mississippi","Tennessee","Indiana","Oregon","Michigan","Washington DC","Colorado","Minnesota","Wisconsin","Texas","Missouri","Arkansas","Nevada","Massachusetts","Virgin Islands","Oklahoma","Ohio","Maine","New Hampshire","Kansas","Louisiana","New Mexico","American Samoa","Idaho","Alaska","Illinois","Florida","Alabama","Maryland","Puerto Rico","South Carolina","Nebraska","Virginia","New York","Kentucky","Connecticut","United States (US) (USA)","Wyoming","West Virginia","South Dakota","District of Columbia","Delaware","Vermont","Georgia","020:072","Facilities","Remediation","Toxics","Regulatory","Emergency Response","Sites","Contaminant","Cleanup","Resources","Environmental Management","Compliance","Waste"],"last_harvested_date":"2026-09-06T19:22:11.303350","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":3,"publisher":"U.S. EPA Office of Environmental Information (OEI)","slug":"epa-facility-registry-service-frs-er_cerclis","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CERCLIS","type":"dataset"},{"_score":10.114334,"_sort":[1788722330717,10.114334,0,"c69277bf-1234-4664-8ddf-a316574d2d3b"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Max Post van der Burg","hasEmail":"mailto:maxpostvanderburg@usgs.gov"},"description":"This code was used in a simulated decision analysis project designed to evaluate the value of different kinds of information with regard to making optimal investments in invasive plant control programs. The code was developed in the R programming environment. The file \"sim_code.R\" contains the initialization of the parameters and analysis; the file \"pop_sim.ccp\" is a C++ program that executes the actual simulation and returns the results to R.\nWe developed a hypothetical scenario in which a manager is tasked with control of invasive plants on 100 management units each 100 ha in size. 90 of these units were assumed to be under private management and 10 were assumed to be conservation units (i.e. under public management). For this problem we assumed that there were only two target species to control: leafy spurge (Euphorbia esula) and yellow toadflax (Linaria vulgaris). These two species were identified of examples of species that are controlled within the LCC geography. They are also species for which there is some literature to help parameterize a model. We should note that this model is gross generalization and was not intended to provide insight into invasive species biology. Because this model is stochastic, we measured this objective as the number of years out of 50 that at least 50% of the units were uninfested. We arbitrarily chose the target of 50%, which could have been any value. However, we felt that because these species are so difficult to control, target of 50% was fairly attainable. The dynamics of the model assume that management units can either be infested with one of the species, both of them or none at all. We further assumed that once a unit was infested, the species immediately achieved some average density and began producing propagules. These propagules had to disperse some arbitrary distance before they could infest another unit. Once those seeds landed in an uninfested unit, there was some probability they would lead to an infestation. To describe infestation dynamics, we developed a model that was composed of eight states to describe the management units.\nThe model simulates the dynamics of infestation and control and then produces an Expected Value of Information analysis that shows the improvement in performance given resolution of each uncertain parameter in the model.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14EJWTG","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.5783f9d0e4b0ac0b97f56038.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5783f9d0e4b0ac0b97f56038","keyword":["Iowa","Landscape Conservation Cooperatives","Minnesota","North Dakota","South Dakota","USGS:5783f9d0e4b0ac0b97f56038","decision analysis","invasive weed management","modeling","simulation model","value-of-information analysis"],"modified":"2026-09-04T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"theme":["geospatial"],"title":"Model simulation and Expected Value of Information code"},"description":"This code was used in a simulated decision analysis project designed to evaluate the value of different kinds of information with regard to making optimal investments in invasive plant control programs. The code was developed in the R programming environment. The file \"sim_code.R\" contains the initialization of the parameters and analysis; the file \"pop_sim.ccp\" is a C++ program that executes the actual simulation and returns the results to R.\nWe developed a hypothetical scenario in which a manager is tasked with control of invasive plants on 100 management units each 100 ha in size. 90 of these units were assumed to be under private management and 10 were assumed to be conservation units (i.e. under public management). For this problem we assumed that there were only two target species to control: leafy spurge (Euphorbia esula) and yellow toadflax (Linaria vulgaris). These two species were identified of examples of species that are controlled within the LCC geography. They are also species for which there is some literature to help parameterize a model. We should note that this model is gross generalization and was not intended to provide insight into invasive species biology. Because this model is stochastic, we measured this objective as the number of years out of 50 that at least 50% of the units were uninfested. We arbitrarily chose the target of 50%, which could have been any value. However, we felt that because these species are so difficult to control, target of 50% was fairly attainable. The dynamics of the model assume that management units can either be infested with one of the species, both of them or none at all. We further assumed that once a unit was infested, the species immediately achieved some average density and began producing propagules. These propagules had to disperse some arbitrary distance before they could infest another unit. Once those seeds landed in an uninfested unit, there was some probability they would lead to an infestation. To describe infestation dynamics, we developed a model that was composed of eight states to describe the management units.\nThe model simulates the dynamics of infestation and control and then produces an Expected Value of Information analysis that shows the improvement in performance given resolution of each uncertain parameter in the model.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/017ac8cc-a1d2-4b5a-a665-dccb0ce33369","harvest_record_raw":"https://catalog.data.gov/harvest_record/017ac8cc-a1d2-4b5a-a665-dccb0ce33369/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5783f9d0e4b0ac0b97f56038","keyword":["Iowa","Landscape Conservation Cooperatives","Minnesota","North Dakota","South Dakota","USGS:5783f9d0e4b0ac0b97f56038","decision analysis","invasive weed management","modeling","simulation model","value-of-information analysis"],"last_harvested_date":"2026-09-06T19:18:50.717718","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"model-simulation-and-expected-value-of-information-code","spatial_centroid":null,"spatial_shape":null,"theme":["geospatial"],"title":"Model simulation and Expected Value of Information code","type":"dataset"},{"_score":10.270687,"_sort":[1788722285676,10.270687,2,"3e06019b-49df-4465-826b-e2cdfd526c08"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for \npre-construction hydrographic surveys on the Missouri River below Gavins Point Dam for the \nEmergent Sandbar Habitat construction project near River Mile 761.4.  Data tie- ins to local \nbenchmarks also are included","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P96EIQUW","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ef9f62e5-57fc-4735-a1eb-52ee4c12dab1.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef9f62e5-57fc-4735-a1eb-52ee4c12dab1","keyword":["Hydrographic Survey","USGS:ef9f62e5-57fc-4735-a1eb-52ee4c12dab1","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-97.230886, 42.651279, -96.582338, 42.966037","theme":["geospatial"],"title":"GPS data collected for preconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for \npre-construction hydrographic surveys on the Missouri River below Gavins Point Dam for the \nEmergent Sandbar Habitat construction project near River Mile 761.4.  Data tie- ins to local \nbenchmarks also are included","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a7726aa6-cf5b-483e-8c2e-9c0157cd7637","harvest_record_raw":"https://catalog.data.gov/harvest_record/a7726aa6-cf5b-483e-8c2e-9c0157cd7637/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ef9f62e5-57fc-4735-a1eb-52ee4c12dab1","keyword":["Hydrographic Survey","USGS:ef9f62e5-57fc-4735-a1eb-52ee4c12dab1","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T19:18:05.676447","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-preconstruction-hydrographic-surveys-of-missouri-river-downstream-f","spatial_centroid":{"lat":42.777182200000006,"lon":-96.9714668},"spatial_shape":{"coordinates":[[[-97.230886,42.651279],[-97.230886,42.966037],[-96.582338,42.966037],[-96.582338,42.651279],[-97.230886,42.651279]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for preconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4","type":"dataset"},{"_score":23.536518,"_sort":[1788722150221,23.536518,0,"d8145d18-d9b3-4b55-8b7f-9add9e4fe7e6"],"dcat":{"accessLevel":"public","bureauCode":["020:00"],"contactPoint":{"fn":"Matthew Magnuson","hasEmail":"mailto:magnuson.matthew@epa.gov"},"description":"Numerical data corresponding to figures. \n\nThis dataset is associated with the following publication:\nDiskin, J., K. Eckhoff, J. Das Schober, T. Sleight, M. Magnuson, and W. Harper. Rinsing Aircraft Hangar Fire Suppression System Components Contaminated With PFAS: Analysis of Rinse Waters and Pipe Surfaces.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 98(7): e70477, (2026).","distribution":[{"downloadURL":"https://pasteur.epa.gov/uploads/10.23719/d-cj1r/Diskin%20et%20al%20data-compilation%202026.xlsx","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Diskin et al data-compilation 2026.xlsx"}],"identifier":"https://doi.org/10.23719/d-cj1r","keyword":["AFFF","Decontamination","PFAS","homeland security","water security"],"license":"https://pasteur.epa.gov/license/sciencehub-license.html","modified":"2026-08-14","programCode":["020:000"],"publisher":{"name":"U.S. Environmental Protection Agency","subOrganizationOf":{"name":"U.S. Government"}},"references":["https://doi.org/10.1002/wer.70477","https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13349416"],"rights":null,"title":"Diskin et al data-compilation"},"description":"Numerical data corresponding to figures. \n\nThis dataset is associated with the following publication:\nDiskin, J., K. Eckhoff, J. Das Schober, T. Sleight, M. Magnuson, and W. Harper. Rinsing Aircraft Hangar Fire Suppression System Components Contaminated With PFAS: Analysis of Rinse Waters and Pipe Surfaces.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 98(7): e70477, (2026).","distribution_titles":["Diskin et al data-compilation 2026.xlsx"],"harvest_record":"https://catalog.data.gov/harvest_record/1e98231c-8f83-4b33-a134-de522e01a790","harvest_record_raw":"https://catalog.data.gov/harvest_record/1e98231c-8f83-4b33-a134-de522e01a790/raw","has_download":true,"has_spatial":false,"identifier":"https://doi.org/10.23719/d-cj1r","keyword":["AFFF","Decontamination","PFAS","homeland security","water security"],"last_harvested_date":"2026-09-06T19:15:50.221561","organization":{"aliases":["EPA"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"82b85475-f85d-404a-b95b-89d1a42e9f6b","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png","name":"U.S. Environmental Protection Agency","organization_type":"Federal Government","slug":"epa"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Environmental Protection Agency","slug":"diskin-et-al-data-compilation","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Diskin et al data-compilation","type":"dataset"},{"_score":7.918901,"_sort":[1788722128702,7.918901,4,"57a06078-3313-49c0-8385-250e691c3ae8"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Philp T. Harte","hasEmail":"mailto:ptharte@usgs.gov"},"description":"The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency and\nthe New Hampshire Department of Environmental Services, developed a model for used with \nMODFLOW-2005 and MODPATH5 to evaluate groundwater flow and advective transport under\npre- and post-remediation conditions in the crystalline-rock aquifer in the vicinity of the Savage\nMunicipal Water-Supply Well Superfund site Milford, New Hampshire. In addition, a previously\ndeveloped model (https://doi.org/10.3133/sir20045176 and https://doi.org/10.3133/ofr20121079)\nwas used with MOC3D to evaluate the solute-transport of tetrachloroethylene (PCE). In 2010 \nPCE, a chlorinated volatile organic compound, was detected in groundwater from monitoring \nwells tapping the deep (more than 300 feet below land surface) fractures in a crystalline-rock \naquifer. The crystalline-rock aquifer underlies the Milford-Souhegan glacial-drift (MSGD) aquifer\n(a high water-producing aquifer) and the Savage Municipal Water-Supply Well Superfund site. \nResidential water-supply wells are within one-quarter of a mile of the PCE-contaminated \nmonitoring wells and many are likely installed in similar rock types and formations as those of\nthe monitoring wells. The need to understand and quantify flow and transport in the crystalline-\nrock aquifer is crucial in assessing strategies for remediation. The current, area-wide model \nsimulates flow in the crystalline-rock aquifer and covers a much larger area than previous models\nwith the goal of improving the computation of groundwater flow from distal locations to the \nresidential wells and the area. This USGS data release contains all of the input and output files\n for the simulations described in the associated model documentation report \n(https://doi.org/10.3133/sir20205137).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7J102FK","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.226705a8-2a0e-4dda-8e36-84d2074d94c5.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_226705a8-2a0e-4dda-8e36-84d2074d94c5","keyword":["Groundwater","Groundwater Model","InlandWaters","MOC3D","MODFLOW-2005","MODPATH","Milford","Milford-Souhegan River Valley","New Hampshire","Savage Municipal Water Supply Well Superfund site","Solute transport","USGS:226705a8-2a0e-4dda-8e36-84d2074d94c5","environment","geoscientificInformation","inlandWaters","remediation","usgsgroundwatermodel"],"modified":"2025-08-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-71.761976, 42.800697, -71.642849, 42.889263","theme":["geospatial"],"title":"MODFLOW-2005, MODPATH, and MOC3D used for groundwater flow simulation, pathlines analysis, and solute transport in the crystalline-rock aquifer in the vicinity of the Savage Municipal Water-Supply Well Superfund Site, Milford, New Hampshire"},"description":"The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency and\nthe New Hampshire Department of Environmental Services, developed a model for used with \nMODFLOW-2005 and MODPATH5 to evaluate groundwater flow and advective transport under\npre- and post-remediation conditions in the crystalline-rock aquifer in the vicinity of the Savage\nMunicipal Water-Supply Well Superfund site Milford, New Hampshire. In addition, a previously\ndeveloped model (https://doi.org/10.3133/sir20045176 and https://doi.org/10.3133/ofr20121079)\nwas used with MOC3D to evaluate the solute-transport of tetrachloroethylene (PCE). In 2010 \nPCE, a chlorinated volatile organic compound, was detected in groundwater from monitoring \nwells tapping the deep (more than 300 feet below land surface) fractures in a crystalline-rock \naquifer. The crystalline-rock aquifer underlies the Milford-Souhegan glacial-drift (MSGD) aquifer\n(a high water-producing aquifer) and the Savage Municipal Water-Supply Well Superfund site. \nResidential water-supply wells are within one-quarter of a mile of the PCE-contaminated \nmonitoring wells and many are likely installed in similar rock types and formations as those of\nthe monitoring wells. The need to understand and quantify flow and transport in the crystalline-\nrock aquifer is crucial in assessing strategies for remediation. The current, area-wide model \nsimulates flow in the crystalline-rock aquifer and covers a much larger area than previous models\nwith the goal of improving the computation of groundwater flow from distal locations to the \nresidential wells and the area. This USGS data release contains all of the input and output files\n for the simulations described in the associated model documentation report \n(https://doi.org/10.3133/sir20205137).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4bbd61c1-83ba-498f-81c4-7751413e703e","harvest_record_raw":"https://catalog.data.gov/harvest_record/4bbd61c1-83ba-498f-81c4-7751413e703e/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_226705a8-2a0e-4dda-8e36-84d2074d94c5","keyword":["Groundwater","Groundwater Model","InlandWaters","MOC3D","MODFLOW-2005","MODPATH","Milford","Milford-Souhegan River Valley","New Hampshire","Savage Municipal Water Supply Well Superfund site","Solute transport","USGS:226705a8-2a0e-4dda-8e36-84d2074d94c5","environment","geoscientificInformation","inlandWaters","remediation","usgsgroundwatermodel"],"last_harvested_date":"2026-09-06T19:15:28.702489","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":4,"publisher":"U.S. Geological Survey","slug":"modflow-2005-modpath-and-moc3d-used-for-groundwater-flow-simulation-pathlines-analysis-and","spatial_centroid":{"lat":42.8361234,"lon":-71.7143252},"spatial_shape":{"coordinates":[[[-71.761976,42.800697],[-71.761976,42.889263],[-71.642849,42.889263],[-71.642849,42.800697],[-71.761976,42.800697]]],"type":"Polygon"},"theme":["geospatial"],"title":"MODFLOW-2005, MODPATH, and MOC3D used for groundwater flow simulation, pathlines analysis, and solute transport in the crystalline-rock aquifer in the vicinity of the Savage Municipal Water-Supply Well Superfund Site, Milford, New Hampshire","type":"dataset"},{"_score":10.351404,"_sort":[1788721806705,10.351404,5,"55601e8a-b8d0-401d-937c-f30f81edf947"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of \nthe change in elevation, in feet, of the substrate between cross-sections 22 and 35 following construction \nof Emergent Sandbar Habitat near River Mile 770.  The surface was generated from points collected by \nthe echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach \nsurrounding the construction area at River Mile 770 below Gavins Point Dam on the Missouri River in \nSouth Dakota before and after construction of the sandbar.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P98YVECX","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.bab471f5-254a-4619-a308-17af1ab39dd0.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_bab471f5-254a-4619-a308-17af1ab39dd0","keyword":["Hydrographic Survey","USGS:bab471f5-254a-4619-a308-17af1ab39dd0","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.876334, 42.712792, -96.851104, 42.732505","theme":["geospatial"],"title":"Difference betweem postconstruction and preconstruction land surface elevation tins on the Missouri River Downstream from Gavins Point Dam near River Mile 769.8."},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of \nthe change in elevation, in feet, of the substrate between cross-sections 22 and 35 following construction \nof Emergent Sandbar Habitat near River Mile 770.  The surface was generated from points collected by \nthe echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach \nsurrounding the construction area at River Mile 770 below Gavins Point Dam on the Missouri River in \nSouth Dakota before and after construction of the sandbar.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a880d8d3-7280-469e-82ec-d86a0708a054","harvest_record_raw":"https://catalog.data.gov/harvest_record/a880d8d3-7280-469e-82ec-d86a0708a054/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_bab471f5-254a-4619-a308-17af1ab39dd0","keyword":["Hydrographic Survey","USGS:bab471f5-254a-4619-a308-17af1ab39dd0","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T19:10:06.705187","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":5,"publisher":"U.S. Geological Survey","slug":"difference-betweem-postconstruction-and-preconstruction-land-surface-elevation-tins-on-the-4e0f6","spatial_centroid":{"lat":42.7206772,"lon":-96.866242},"spatial_shape":{"coordinates":[[[-96.876334,42.712792],[-96.876334,42.732505],[-96.851104,42.732505],[-96.851104,42.712792],[-96.876334,42.712792]]],"type":"Polygon"},"theme":["geospatial"],"title":"Difference betweem postconstruction and preconstruction land surface elevation tins on the Missouri River Downstream from Gavins Point Dam near River Mile 769.8.","type":"dataset"},{"_score":10.274197,"_sort":[1788721746683,10.274197,1,"da73e18a-7c5e-401a-bdb1-0c3d66eb2ccc"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains the points collected by the echosounder on transects in the upstream project \nreach surrounding the construction area at River Mile 770.0 below Gavins Point Dam on the Missouri River in \nSouth Dakota.  This survey provides channel cross sections approximately every 500 feet prior to construction \nof Emergent Sandbar Habitat near River Mile 770.0","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9KHXPVW","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.8c43e591-33d3-4be8-8685-9334db3e0c17.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_8c43e591-33d3-4be8-8685-9334db3e0c17","keyword":["Hydrographic Survey","USGS:8c43e591-33d3-4be8-8685-9334db3e0c17","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912245, 42.701375, -96.821919, 42.736242","theme":["geospatial"],"title":"Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River."},"description":"This geospatial data set contains the points collected by the echosounder on transects in the upstream project \nreach surrounding the construction area at River Mile 770.0 below Gavins Point Dam on the Missouri River in \nSouth Dakota.  This survey provides channel cross sections approximately every 500 feet prior to construction \nof Emergent Sandbar Habitat near River Mile 770.0","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e944fef2-d411-496b-af84-a515b2317002","harvest_record_raw":"https://catalog.data.gov/harvest_record/e944fef2-d411-496b-af84-a515b2317002/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_8c43e591-33d3-4be8-8685-9334db3e0c17","keyword":["Hydrographic Survey","USGS:8c43e591-33d3-4be8-8685-9334db3e0c17","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T19:09:06.683329","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"bathymetry-data-for-the-pre-construction-survey-of-the-emergent-sandbar-habitat-project-at-ba1fa","spatial_centroid":{"lat":42.7153218,"lon":-96.8761146},"spatial_shape":{"coordinates":[[[-96.912245,42.701375],[-96.912245,42.736242],[-96.821919,42.736242],[-96.821919,42.701375],[-96.912245,42.701375]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River.","type":"dataset"},{"_score":10.143997,"_sort":[1788721693500,10.143997,3,"1d2dba95-81b9-4104-9d66-3e588ee978ec"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4.  The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9WMIYIX","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.27c54785-3cfd-4ccd-a2d3-c3f47c102e47.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47","keyword":["Hydrographic Survey","USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.769522, 42.657361, -96.739372, 42.666935","theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network \n(TIN), of the substrate surface between cross-sections 23 and 39 following construction of \nEmergent Sandbar Habitat near River Mile 761.4.  The surface was generated from points \ncollected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below \nGavins Point Dam on the Missouri River in South Dakota.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8d8bc2b5-562f-47a8-9520-11e6c0ff340b","harvest_record_raw":"https://catalog.data.gov/harvest_record/8d8bc2b5-562f-47a8-9520-11e6c0ff340b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_27c54785-3cfd-4ccd-a2d3-c3f47c102e47","keyword":["Hydrographic Survey","USGS:27c54785-3cfd-4ccd-a2d3-c3f47c102e47","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T19:08:13.500728","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"postconstruction-tin-of-land-surface-on-the-missouri-river-downstream-from-gavins-point-da-5ef18","spatial_centroid":{"lat":42.661190600000005,"lon":-96.757462},"spatial_shape":{"coordinates":[[[-96.769522,42.657361],[-96.769522,42.666935],[-96.739372,42.666935],[-96.739372,42.657361],[-96.769522,42.657361]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 761.4","type":"dataset"},{"_score":9.142402,"_sort":[1788721622573,9.142402,2,"d1a22498-ea4e-4e99-9e84-48b94536504d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Thomas J. Mack","hasEmail":"mailto:tjmack@usgs.gov"},"description":"A numerical groundwater flow model using MODFLOW-2005 was developed to examine \npredevelopment groundwater flow in eastern Abu Dhabi Emirate, United Arab Emirates. \nThe model was calibrated to conditions before the 1960s, the period before modern \npumping began. The model was used to evaluate the regional water budget and 4 \npotential recharge scenarios. This USGS data release contains all of the input and \noutput files for the simulations described in the associated model documentation report \n(https://doi.org/10.3133/sir20185158). This data release also includes input and output \ndata files for sensitivity and scenarios simulations, and MODFLOW-2015 source code.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9ZWZISB","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.352bbf07-a8e1-4083-be31-aded7332e8fe.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_352bbf07-a8e1-4083-be31-aded7332e8fe","keyword":["Abu Dhabi","Groundwater","Groundwater Model","MODFLOW-2005","USGS:352bbf07-a8e1-4083-be31-aded7332e8fe","United Arab Emirates","environment","geoscientificInformation","inlandWaters","usgsgroundwatermodel"],"modified":"2025-08-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-80.7800, 25.9190, -80.0180, 26.4870","theme":["geospatial"],"title":"MODFLOW-2005 Groundwater Flow Model to Simulate Predevelopment Groundwater Flow in the Eastern Abu Dhabi Emirate, United Arab Emirates"},"description":"A numerical groundwater flow model using MODFLOW-2005 was developed to examine \npredevelopment groundwater flow in eastern Abu Dhabi Emirate, United Arab Emirates. \nThe model was calibrated to conditions before the 1960s, the period before modern \npumping began. The model was used to evaluate the regional water budget and 4 \npotential recharge scenarios. This USGS data release contains all of the input and \noutput files for the simulations described in the associated model documentation report \n(https://doi.org/10.3133/sir20185158). This data release also includes input and output \ndata files for sensitivity and scenarios simulations, and MODFLOW-2015 source code.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/84f88389-c952-4bd9-9416-47979062b091","harvest_record_raw":"https://catalog.data.gov/harvest_record/84f88389-c952-4bd9-9416-47979062b091/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_352bbf07-a8e1-4083-be31-aded7332e8fe","keyword":["Abu Dhabi","Groundwater","Groundwater Model","MODFLOW-2005","USGS:352bbf07-a8e1-4083-be31-aded7332e8fe","United Arab Emirates","environment","geoscientificInformation","inlandWaters","usgsgroundwatermodel"],"last_harvested_date":"2026-09-06T19:07:02.573604","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"modflow-2005-groundwater-flow-model-to-simulate-predevelopment-groundwater-flow-in-the-eas","spatial_centroid":{"lat":26.1462,"lon":-80.4752},"spatial_shape":{"coordinates":[[[-80.78,25.919],[-80.78,26.487],[-80.018,26.487],[-80.018,25.919],[-80.78,25.919]]],"type":"Polygon"},"theme":["geospatial"],"title":"MODFLOW-2005 Groundwater Flow Model to Simulate Predevelopment Groundwater Flow in the Eastern Abu Dhabi Emirate, United Arab Emirates","type":"dataset"},{"_score":10.037815,"_sort":[1788721214210,10.037815,1,"4c15edc0-6824-49d4-a200-c9b1af8d5e7f"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8.  \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P98FR60R","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.985cf61c-0fe2-4ecb-abca-86e5089aaeff.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff","keyword":["Hydrographic Survey","USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.914945, 42.701005, -96.821300, 42.738139","theme":["geospatial"],"title":"GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8.  \nThis data provides land surface elevations of shallow-water, shore, and highbank for the \nMissouri River prior to construction of Emergent Sandbar Habitat.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a8413456-f171-431c-85a7-c340c2938610","harvest_record_raw":"https://catalog.data.gov/harvest_record/a8413456-f171-431c-85a7-c340c2938610/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_985cf61c-0fe2-4ecb-abca-86e5089aaeff","keyword":["Hydrographic Survey","USGS:985cf61c-0fe2-4ecb-abca-86e5089aaeff","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T19:00:14.210320","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-transects-as-part-of-the-pre-construction-survey-at-emergent-sandba","spatial_centroid":{"lat":42.715858600000004,"lon":-96.877487},"spatial_shape":{"coordinates":[[[-96.914945,42.701005],[-96.914945,42.738139],[-96.8213,42.738139],[-96.8213,42.701005],[-96.914945,42.701005]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for transects as part of the pre-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8","type":"dataset"},{"_score":9.257877,"_sort":[1788720633811,9.257877,4,"a4ee9726-e6cf-4420-9c57-ede85375f5fa"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains water velocity and flow direction data collected in shallow areas on selected transects near \nRiver Mile 769.8 of the Missouri River below Gavins Point Dam, South Dakota and Nebraska.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P913U97L","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.d40e906c-a138-48ca-bab6-64d12085941e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d40e906c-a138-48ca-bab6-64d12085941e","keyword":["Missouri River below Gavins Point Dam","Nebraska","South Dakota","Stream velocity and direction","USGS:d40e906c-a138-48ca-bab6-64d12085941e","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.891155, 42.717146, -96.851894, 42.731632","theme":["geospatial"],"title":"Postconstruction water velocity data collected at selected points on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"},"description":"This data set contains water velocity and flow direction data collected in shallow areas on selected transects near \nRiver Mile 769.8 of the Missouri River below Gavins Point Dam, South Dakota and Nebraska.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/500341fd-9a86-4086-9a0f-bb4be06c67ff","harvest_record_raw":"https://catalog.data.gov/harvest_record/500341fd-9a86-4086-9a0f-bb4be06c67ff/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d40e906c-a138-48ca-bab6-64d12085941e","keyword":["Missouri River below Gavins Point Dam","Nebraska","South Dakota","Stream velocity and direction","USGS:d40e906c-a138-48ca-bab6-64d12085941e","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:50:33.811481","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":4,"publisher":"U.S. Geological Survey","slug":"postconstruction-water-velocity-data-collected-at-selected-points-on-the-missouri-river-do","spatial_centroid":{"lat":42.7229404,"lon":-96.8754506},"spatial_shape":{"coordinates":[[[-96.891155,42.717146],[-96.891155,42.731632],[-96.851894,42.731632],[-96.851894,42.717146],[-96.891155,42.717146]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction water velocity data collected at selected points on the Missouri River downstream from Gavins Point Dam near River Mile 769.8","type":"dataset"},{"_score":7.3689256,"_sort":[1788720624535,7.3689256,9,"3e3f1ae3-38c3-4d58-af23-0d368264d848"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey","hasEmail":"mailto:whsc_data_contact@usgs.gov"},"description":"Geospatial data that is a derivative land cover product depicting woodland on topographic maps.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://www.usgs.gov/the-national-map-data-delivery","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ea931b2b-ad6c-4ad3-bec7-e991b0081106.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ea931b2b-ad6c-4ad3-bec7-e991b0081106","keyword":["Agricultural land","Barren land","FileGDB 10.0","Forest land","Land Cover - Woodland","Not Classified","Orthoimage","Range land","State","US","USGS:ea931b2b-ad6c-4ad3-bec7-e991b0081106","United States","Urban and built-up land","Water","Wetland","Woodland","annotations","biota","ecology","environment","farming","flora","habitat","imagery","imageryBaseMapsEarthCover","land cover"],"modified":"2025-02-11T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-179.2297, -14.4247, 179.8567, 71.4396","theme":["geospatial"],"title":"USGS Land Cover - Woodland Downloadable Data Collection"},"description":"Geospatial data that is a derivative land cover product depicting woodland on topographic maps.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/71c20441-40de-4792-a4a9-71de250f79d1","harvest_record_raw":"https://catalog.data.gov/harvest_record/71c20441-40de-4792-a4a9-71de250f79d1/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ea931b2b-ad6c-4ad3-bec7-e991b0081106","keyword":["Agricultural land","Barren land","FileGDB 10.0","Forest land","Land Cover - Woodland","Not Classified","Orthoimage","Range land","State","US","USGS:ea931b2b-ad6c-4ad3-bec7-e991b0081106","United States","Urban and built-up land","Water","Wetland","Woodland","annotations","biota","ecology","environment","farming","flora","habitat","imagery","imageryBaseMapsEarthCover","land cover"],"last_harvested_date":"2026-09-06T18:50:24.535370","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":9,"publisher":"U.S. Geological Survey","slug":"usgs-land-cover-woodland-downloadable-data-collection","spatial_centroid":{"lat":19.92102,"lon":-35.59514000000001},"spatial_shape":{"coordinates":[[[-179.2297,-14.4247],[-179.2297,71.4396],[179.8567,71.4396],[179.8567,-14.4247],[-179.2297,-14.4247]]],"type":"Polygon"},"theme":["geospatial"],"title":"USGS Land Cover - Woodland Downloadable Data Collection","type":"dataset"},{"_score":10.265387,"_sort":[1788720360126,10.265387,2,"592bf83c-b187-4d3d-8699-c48ef2def528"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9SZ45DR","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.c0753ab2-c87b-4337-ac9c-8d0a287ec630.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630","keyword":["Hydrographic Survey","USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912030, 42.701452, -96.822611, 42.736188","theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River."},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 761.4","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/564907f0-5c55-460f-92d1-9fa574c401a1","harvest_record_raw":"https://catalog.data.gov/harvest_record/564907f0-5c55-460f-92d1-9fa574c401a1/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_c0753ab2-c87b-4337-ac9c-8d0a287ec630","keyword":["Hydrographic Survey","USGS:c0753ab2-c87b-4337-ac9c-8d0a287ec630","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:46:00.126712","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"bathymetry-data-for-the-post-construction-survey-of-the-emergent-sandbar-habitat-project-a-8922e","spatial_centroid":{"lat":42.7153464,"lon":-96.8762624},"spatial_shape":{"coordinates":[[[-96.91203,42.701452],[-96.91203,42.736188],[-96.822611,42.736188],[-96.822611,42.701452],[-96.91203,42.701452]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River.","type":"dataset"},{"_score":3.4907322,"_sort":[1788720038008,3.4907322,2,"6c61f8c3-5627-4086-af57-00e6e537f626"],"dcat":{"accessLevel":"public","bureauCode":["010:24"],"contactPoint":{"@type":"vcard:Contact","fn":"NPS IRMA Help","hasEmail":"mailto:NRSS_DataStore@nps.gov"},"description":"Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey\u2019s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.","distribution":[{"@type":"dcat:Distribution","description":"NCCN EBLA intertidal fish inventory 2001-2005 tabular data: NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip","downloadURL":"https://irma.nps.gov/DataStore/DownloadFile/530666?Reference=2206422","format":"zip","mediaType":"application/zip","title":"NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip"},{"@type":"dcat:Distribution","description":"Original FGDC metadata used to create this reference. Be aware that some of the fields, including file paths, may be out of date. This file should only be used for understanding additional documentation that is not already managed by Data Store","downloadURL":"https://irma.nps.gov/DataStore/DownloadFile/543418?Reference=2206422","format":"xml","mediaType":"application/xml","title":"OriginalMetadata_NPSDataStoreCode_2206422.xml"}],"identifier":"http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422","issued":"2014-01-16T00:00:00Z","keyword":["Abundance","Alaska pollock","Alaskan stickleback","Ammodytes hexapterus","Anoplagonus inermis","Biology","Biota","Chinook salmon","Clark's trout","Clevelandia ios","Clinocottus acuticeps","Community","Cottus asper","Cymatogaster aggregata","EBLA","Ebey's Landing National Historical Reserve","Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes","Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities","Enophrys bison","Environment","Gadus chalcogrammus","Gasterosteus aculeatus","Hypomesus pretiosus","Icelinus borealis","Intertidal Fish","Inventory","Isopsetta isolepis","Leptocottus armatus","Microgadus proximus","Myoxocephalus polyacanthocephalus","NCCN","North Coast and Cascades Network Network","Oligocottus maculosus","Oncorhynchus clarkii clarkii","Oncorhynchus keta","Oncorhynchus kisutch","Oncorhynchus tshawytscha","Ophiodon elongatus","Osmeridae","Pacific Northwest","Pacific sand lance","Pacific sandfish","Pacific staghorn sculpin","Pacific tomcod","Pholis ornata","Platichthys stellatus","Resource Management","Salmo clarki","Syngnathus leptorhynchus","Theragra chalcogramma","Trichodon trichodon","Washington","Wildlife","Yellowstone cutthroat","arrow goby","baitfish","bay pipefish","beach seining","buffalo sculpin","butter sole","chum salmon","coastal cutthroat","coastal cutthroat trout","coho salmon","cutthroat trout","great sculpin","king salmon","lake trout","lingcod","northern sculpin","prickly sculpin","red-throated trout","saddleback gunnel","sea trout","sharpnose sculpin","shiner perch","short-tailed trout","silver salmon","slendernosed pipefish","smelts","smooth alligatorfish","starry flounder","surf smelt","threespine stickleback","tidepool sculpin","walleye pollock"],"landingPage":"https://irma.nps.gov/DataStore/Reference/Profile/2206422","modified":"2014-01-16T00:00:00Z","programCode":["010:118","010:119"],"publisher":{"@type":"org:Organization","name":"National Park Service"},"spatial":"-122.77,48.15,-122.62,48.26","temporal":"2001-01-01/2005-01-01","theme":["Tabular Dataset"],"title":"Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data"},"description":"Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey\u2019s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.","distribution_titles":["NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip","OriginalMetadata_NPSDataStoreCode_2206422.xml"],"harvest_record":"https://catalog.data.gov/harvest_record/c4f15fb1-eed6-4567-a315-a4c5c84389bc","harvest_record_raw":"https://catalog.data.gov/harvest_record/c4f15fb1-eed6-4567-a315-a4c5c84389bc/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/NPS_DataStore_2206422","keyword":["Abundance","Alaska pollock","Alaskan stickleback","Ammodytes hexapterus","Anoplagonus inermis","Biology","Biota","Chinook salmon","Clark's trout","Clevelandia ios","Clinocottus acuticeps","Community","Cottus asper","Cymatogaster aggregata","EBLA","Ebey's Landing National Historical Reserve","Ecological Framework: Biological Integrity | Focal Species or Communities | Fishes","Ecological Framework: Biological Integrity | Focal Species or Communities | Intertidal Communities","Enophrys bison","Environment","Gadus chalcogrammus","Gasterosteus aculeatus","Hypomesus pretiosus","Icelinus borealis","Intertidal Fish","Inventory","Isopsetta isolepis","Leptocottus armatus","Microgadus proximus","Myoxocephalus polyacanthocephalus","NCCN","North Coast and Cascades Network Network","Oligocottus maculosus","Oncorhynchus clarkii clarkii","Oncorhynchus keta","Oncorhynchus kisutch","Oncorhynchus tshawytscha","Ophiodon elongatus","Osmeridae","Pacific Northwest","Pacific sand lance","Pacific sandfish","Pacific staghorn sculpin","Pacific tomcod","Pholis ornata","Platichthys stellatus","Resource Management","Salmo clarki","Syngnathus leptorhynchus","Theragra chalcogramma","Trichodon trichodon","Washington","Wildlife","Yellowstone cutthroat","arrow goby","baitfish","bay pipefish","beach seining","buffalo sculpin","butter sole","chum salmon","coastal cutthroat","coastal cutthroat trout","coho salmon","cutthroat trout","great sculpin","king salmon","lake trout","lingcod","northern sculpin","prickly sculpin","red-throated trout","saddleback gunnel","sea trout","sharpnose sculpin","shiner perch","short-tailed trout","silver salmon","slendernosed pipefish","smelts","smooth alligatorfish","starry flounder","surf smelt","threespine stickleback","tidepool sculpin","walleye pollock"],"last_harvested_date":"2026-09-06T18:40:38.008087","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"National Park Service","slug":"intertidal-fish-inventory-of-ebeys-landing-national-historical-reserve-tabular-data","spatial_centroid":{"lat":48.194,"lon":-122.71},"spatial_shape":{"coordinates":[[[-122.77,48.15],[-122.77,48.26],[-122.62,48.26],[-122.62,48.15],[-122.77,48.15]]],"type":"Polygon"},"theme":["Tabular Dataset"],"title":"Intertidal Fish Inventory of Ebey's Landing National Historical Reserve tabular data","type":"dataset"},{"_score":10.2257595,"_sort":[1788719817466,10.2257595,3,"2c5bba23-c14d-487d-90ba-ce454b31ee54"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the \nsubstrate surface between cross-sections 22 and 35 following construction of Emergent Sandbar Habitat \nnear River Mile 770.  The surface was generated from points collected by the echosounder and real-time \nkinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction \narea at River Mile 770 below Gavins Point Dam on the Missouri River in South Dakota.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9C80ZRZ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.817e2f6f-af3e-4cce-92df-47f65c69879a.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_817e2f6f-af3e-4cce-92df-47f65c69879a","keyword":["Hydrographic Survey","USGS:817e2f6f-af3e-4cce-92df-47f65c69879a","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.876339, 42.712693, -96.851104, 42.732505","theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"},"description":"This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the \nsubstrate surface between cross-sections 22 and 35 following construction of Emergent Sandbar Habitat \nnear River Mile 770.  The surface was generated from points collected by the echosounder and real-time \nkinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction \narea at River Mile 770 below Gavins Point Dam on the Missouri River in South Dakota.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/557bbd7d-5ecd-49ee-a2a6-2a9040b99137","harvest_record_raw":"https://catalog.data.gov/harvest_record/557bbd7d-5ecd-49ee-a2a6-2a9040b99137/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_817e2f6f-af3e-4cce-92df-47f65c69879a","keyword":["Hydrographic Survey","USGS:817e2f6f-af3e-4cce-92df-47f65c69879a","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:36:57.466775","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"postconstruction-tin-of-land-surface-on-the-missouri-river-downstream-from-gavins-point-da","spatial_centroid":{"lat":42.7206178,"lon":-96.866245},"spatial_shape":{"coordinates":[[[-96.876339,42.712693],[-96.876339,42.732505],[-96.851104,42.732505],[-96.851104,42.712693],[-96.876339,42.712693]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction tin of land surface on the Missouri River downstream from Gavins Point Dam near River Mile 769.8","type":"dataset"},{"_score":10.2257595,"_sort":[1788719673982,10.2257595,3,"bedaa09e-ea00-4ad9-9b43-27c05a7ac753"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic \nsurveys on the Missouri River below Gavins Point Dam near River Mile 769.8.  This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9NQDOFR","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.1c1dd2c7-efbe-4def-afff-1138dc63fbe9.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9","keyword":["Hydrographic Survey","USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.913901, 42.701339, -96.822211, 42.737252","theme":["geospatial"],"title":"GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic \nsurveys on the Missouri River below Gavins Point Dam near River Mile 769.8.  This data provides land surface \nelevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent \nSandbar Habitat.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dbe88876-500d-4a0f-9db6-4d0c2e210169","harvest_record_raw":"https://catalog.data.gov/harvest_record/dbe88876-500d-4a0f-9db6-4d0c2e210169/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_1c1dd2c7-efbe-4def-afff-1138dc63fbe9","keyword":["Hydrographic Survey","USGS:1c1dd2c7-efbe-4def-afff-1138dc63fbe9","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:34:33.982570","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-transects-as-part-of-the-post-construction-survey-at-emergent-sandb","spatial_centroid":{"lat":42.7157042,"lon":-96.877225},"spatial_shape":{"coordinates":[[[-96.913901,42.701339],[-96.913901,42.737252],[-96.822211,42.737252],[-96.822211,42.701339],[-96.913901,42.701339]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for transects as part of the post-construction survey at Emergent Sandbar Habitat site on the Missouri River near river mile 769.8","type":"dataset"},{"_score":10.401066,"_sort":[1788718876595,10.401066,2,"7ce335ed-1386-489a-ae8a-98892f03948e"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \napproximately every 500 feet prior to construction of Emergent Sandbar Habitat near River \nMile 761.4","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9SYH1KX","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.e8a3fa64-8a22-4a12-b3cc-33df260133f3.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e8a3fa64-8a22-4a12-b3cc-33df260133f3","keyword":["Hydrographic Survey","USGS:e8a3fa64-8a22-4a12-b3cc-33df260133f3","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.799768, 42.654850, -96.701205, 42.670947","theme":["geospatial"],"title":"Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River."},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \ndownstream project reach surrounding the construction area at River Mile 761.4 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \napproximately every 500 feet prior to construction of Emergent Sandbar Habitat near River \nMile 761.4","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3febc567-093b-4613-a655-c24fe1e02094","harvest_record_raw":"https://catalog.data.gov/harvest_record/3febc567-093b-4613-a655-c24fe1e02094/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e8a3fa64-8a22-4a12-b3cc-33df260133f3","keyword":["Hydrographic Survey","USGS:e8a3fa64-8a22-4a12-b3cc-33df260133f3","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:21:16.595669","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"bathymetry-data-for-the-pre-construction-survey-of-the-emergent-sandbar-habitat-project-at","spatial_centroid":{"lat":42.6612888,"lon":-96.7603428},"spatial_shape":{"coordinates":[[[-96.799768,42.65485],[-96.799768,42.670947],[-96.701205,42.670947],[-96.701205,42.65485],[-96.799768,42.65485]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bathymetry data for the pre-construction survey of the Emergent Sandbar Habitat project at river mile 761.4 downstream from Gavins Point dam on the Missouri River.","type":"dataset"},{"_score":10.270687,"_sort":[1788718454668,10.270687,4,"fa1dc7f2-b2d9-4436-bd3e-e2d07b89003a"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \nupstream project reach surrounding the construction area at River Mile 769.8 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 769.8","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9M2Z2O7","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.e26db77b-f122-4ba0-b2ad-f20c347003f5.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e26db77b-f122-4ba0-b2ad-f20c347003f5","keyword":["Hydrographic Survey","USGS:e26db77b-f122-4ba0-b2ad-f20c347003f5","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912030, 42.701452, -96.822611, 42.736188","theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River."},"description":"This geospatial data set contains the points collected by the echosounder on transects in the \nupstream project reach surrounding the construction area at River Mile 769.8 below Gavins \nPoint Dam on the Missouri River in South Dakota.  This survey provides channel cross sections \nfor new and selected existing transects following construction of Emergent Sandbar Habitat \nnear River Mile 769.8","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c2a83388-3e8c-4346-953b-cee2b9598c81","harvest_record_raw":"https://catalog.data.gov/harvest_record/c2a83388-3e8c-4346-953b-cee2b9598c81/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e26db77b-f122-4ba0-b2ad-f20c347003f5","keyword":["Hydrographic Survey","USGS:e26db77b-f122-4ba0-b2ad-f20c347003f5","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:14:14.668106","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":4,"publisher":"U.S. Geological Survey","slug":"bathymetry-data-for-the-post-construction-survey-of-the-emergent-sandbar-habitat-project-a","spatial_centroid":{"lat":42.7153464,"lon":-96.8762624},"spatial_shape":{"coordinates":[[[-96.91203,42.701452],[-96.91203,42.736188],[-96.822611,42.736188],[-96.822611,42.701452],[-96.91203,42.701452]]],"type":"Polygon"},"theme":["geospatial"],"title":"Bathymetry data for the post-construction survey of the Emergent Sandbar Habitat project at river mile 769.8 downstream from Gavins Point Dam on the Missouri River.","type":"dataset"},{"_score":10.265387,"_sort":[1788718366417,10.265387,1,"b6caff4c-d0f5-482b-af09-8ec58d7aadf0"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 761.4.  This \ndata provides land surface elevations of shallow-water, shore, and highbank for the Missouri River \nfollowing construction of Emergent Sandbar Habitat.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P97LD4D7","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.e92cc781-ee80-4609-8733-54072c302ca2.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e92cc781-ee80-4609-8733-54072c302ca2","keyword":["Hydrographic Survey","USGS:e92cc781-ee80-4609-8733-54072c302ca2","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.800230, 42.654601, -96.700315, 42.673551","theme":["geospatial"],"title":"GPS data collected for postconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4"},"description":"This data set contains land surface elevations on dry and wadeable portions of transects for the \nhydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 761.4.  This \ndata provides land surface elevations of shallow-water, shore, and highbank for the Missouri River \nfollowing construction of Emergent Sandbar Habitat.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/837cc01a-c0b4-45a6-afcc-b806123d957b","harvest_record_raw":"https://catalog.data.gov/harvest_record/837cc01a-c0b4-45a6-afcc-b806123d957b/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_e92cc781-ee80-4609-8733-54072c302ca2","keyword":["Hydrographic Survey","USGS:e92cc781-ee80-4609-8733-54072c302ca2","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:12:46.417049","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"gps-data-collected-for-postconstruction-hydrographic-surveys-of-missouri-river-downstream-","spatial_centroid":{"lat":42.662181,"lon":-96.760264},"spatial_shape":{"coordinates":[[[-96.80023,42.654601],[-96.80023,42.673551],[-96.700315,42.673551],[-96.700315,42.654601],[-96.80023,42.654601]]],"type":"Polygon"},"theme":["geospatial"],"title":"GPS data collected for postconstruction hydrographic surveys of Missouri River downstream from Gavins Point Dam near river mile 761.4","type":"dataset"},{"_score":6.6638308,"_sort":[1788718339362,6.6638308,11,"8ab8947c-382c-41d1-b6b0-81b8e7c5f398"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Alaska Science Center","hasEmail":"mailto:gs-ak_asc_datamanagers@usgs.gov"},"description":"This data set describes nuclear microsatellite genotypes derived from ten autosomal loci (Aph8, Aph16, Cmo7, Cmo9, Hhi5, Sfi10, Smo4, Smo6, Smo8, Smo12) and nucleotide sequence data derived from one mitochondrial DNA locus (control region). A total of 262 Spectacled Eiders were examined for this study. Samples were collected at Indigirka and Chaun River Deltas, Russia, and Yukon-Kuskokwim Delta, Utqiagvik, Colville River Delta, Prudhoe Bay, Alaska. Samples used in the study originated from blood or feather samples collected in the field from live trapped birds or from tissue taken from dead birds.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9F8DV8O","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ASC236.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC236","keyword":["Alaska","Alleles","Animals/Vertebrates","Biota","Birds","Chaun","Chaun River Delta","Colville River Delta","DNA","DNA sequencing","DNA, Mitochondrial","Environment","Evolution","Genetic diversity","Genetic markers","Genetic variance","Genetics","Genetics, Population","Indigirka","Indigirka River Delta","Microsatellite Repeats","Polymerase chain reaction","Population genetic","Prudhoe Bay","Russia","Somateria fischeri","Spectacled eider","Systematics and taxonomy","USGS:ASC236","Utqiagvik","Waterfowl","Yukon-Kuskokwim Delta"],"modified":"2024-09-15T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"152.58, 60.84, -150.89, 71.36","theme":["geospatial"],"title":"Spectacled Eider (Somateria fischeri) Microsatellite and Mitochondrial DNA Data, 2014-2018, Alaska and Russia"},"description":"This data set describes nuclear microsatellite genotypes derived from ten autosomal loci (Aph8, Aph16, Cmo7, Cmo9, Hhi5, Sfi10, Smo4, Smo6, Smo8, Smo12) and nucleotide sequence data derived from one mitochondrial DNA locus (control region). A total of 262 Spectacled Eiders were examined for this study. Samples were collected at Indigirka and Chaun River Deltas, Russia, and Yukon-Kuskokwim Delta, Utqiagvik, Colville River Delta, Prudhoe Bay, Alaska. Samples used in the study originated from blood or feather samples collected in the field from live trapped birds or from tissue taken from dead birds.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0d4f5ed8-dbcc-4781-9f4a-f8d668983a22","harvest_record_raw":"https://catalog.data.gov/harvest_record/0d4f5ed8-dbcc-4781-9f4a-f8d668983a22/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC236","keyword":["Alaska","Alleles","Animals/Vertebrates","Biota","Birds","Chaun","Chaun River Delta","Colville River Delta","DNA","DNA sequencing","DNA, Mitochondrial","Environment","Evolution","Genetic diversity","Genetic markers","Genetic variance","Genetics","Genetics, Population","Indigirka","Indigirka River Delta","Microsatellite Repeats","Polymerase chain reaction","Population genetic","Prudhoe Bay","Russia","Somateria fischeri","Spectacled eider","Systematics and taxonomy","USGS:ASC236","Utqiagvik","Waterfowl","Yukon-Kuskokwim Delta"],"last_harvested_date":"2026-09-06T18:12:19.362622","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":11,"publisher":"U.S. Geological Survey","slug":"spectacled-eider-somateria-fischeri-microsatellite-and-mitochondrial-dna-data-2014-2018-al","spatial_centroid":{"lat":65.048,"lon":31.192000000000014},"spatial_shape":{"coordinates":[[[152.58,60.84],[152.58,71.36],[-150.89,71.36],[-150.89,60.84],[152.58,60.84]]],"type":"Polygon"},"theme":["geospatial"],"title":"Spectacled Eider (Somateria fischeri) Microsatellite and Mitochondrial DNA Data, 2014-2018, Alaska and Russia","type":"dataset"},{"_score":9.218695,"_sort":[1788717976648,9.218695,1,"6ac5b77d-b5e4-4832-99e2-040e59375c70"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ryan F. Thompson","hasEmail":"mailto:rcthomps@usgs.gov"},"description":"This data set contains arrays of water velocity collected on selected transects of the Missouri River \nbelow Gavin's Point Dam near River Mile 769.8.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9TDN8FK","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.b769dea1-2cd6-4336-bcd1-232466b91b32.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b769dea1-2cd6-4336-bcd1-232466b91b32","keyword":["Accoustic Doppler Current Profile data","Missouri River","Nebraska","South Dakota","USGS:b769dea1-2cd6-4336-bcd1-232466b91b32","Water Velocity","environment","geoscientificInformation","inlandWaters"],"modified":"2026-02-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.912755, 42.701457, -96.822603, 42.736215","theme":["geospatial"],"title":"Postconstruction water velocity arrays collected at selected transects on the Missouri River downstream from Gavins Point Dam near River Mile 769.8"},"description":"This data set contains arrays of water velocity collected on selected transects of the Missouri River \nbelow Gavin's Point Dam near River Mile 769.8.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8c41a694-f879-4e53-9a3b-544d8ee1df97","harvest_record_raw":"https://catalog.data.gov/harvest_record/8c41a694-f879-4e53-9a3b-544d8ee1df97/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b769dea1-2cd6-4336-bcd1-232466b91b32","keyword":["Accoustic Doppler Current Profile data","Missouri River","Nebraska","South Dakota","USGS:b769dea1-2cd6-4336-bcd1-232466b91b32","Water Velocity","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T18:06:16.648307","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"postconstruction-water-velocity-arrays-collected-at-selected-transects-on-the-missouri-riv","spatial_centroid":{"lat":42.7153602,"lon":-96.8766942},"spatial_shape":{"coordinates":[[[-96.912755,42.701457],[-96.912755,42.736215],[-96.822603,42.736215],[-96.822603,42.701457],[-96.912755,42.701457]]],"type":"Polygon"},"theme":["geospatial"],"title":"Postconstruction water velocity arrays collected at selected transects on the Missouri River downstream from Gavins Point Dam near River Mile 769.8","type":"dataset"},{"_score":8.74048,"_sort":[1788717402591,8.74048,3,"d5510ca0-8b5e-416f-bcbf-e3c284305059"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Richard B. Moore","hasEmail":"mailto:rmoore@usgs.gov"},"description":"Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to \nDivide (DSD) and Lateral Position (LP) have been produced nationally for the 48 \ncontiguous United States at a 30-meter resolution for stream orders 1 through 9.  \nThese data are available for testing as predictor variables for various regional and \nnational groundwater-flow and groundwater-quality statistical models. \n\t  \nThe concept behind MOHP is that for any given point on the earth\u2019s surface there \nis the potential for longer and longer groundwater flow paths as one goes deeper \nand deeper beneath the land surface.  These increasing depths correspond to \nincreasing stream orders.  Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order.  \n\t  \nDSD \u2013 Raster \u2013 Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t  \nLP \u2013 Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. There are 9 \nrasters for streams orders 1 through 9.\n\t  \nCombined, these two factors, DSD and LP, provide a measure or description of \npotential distance of groundwater flow to any location along the groundwater flow \npath.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9ST73KV","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.72bead86-13ef-47b8-9f0c-910061a33c37.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_72bead86-13ef-47b8-9f0c-910061a33c37","keyword":["Canada","Cycle 3","Groundwater","Hydrologic Position","Mexico","NAWQA","National Rasters","Statistical Predictors","USGS:72bead86-13ef-47b8-9f0c-910061a33c37","United States","Water Quality","environment","geoscientificInformation","inlandWaters"],"modified":"2025-08-05T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-127.8572, 23.2444, -65.3748, 51.5121","theme":["geospatial"],"title":"National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling"},"description":"Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to \nDivide (DSD) and Lateral Position (LP) have been produced nationally for the 48 \ncontiguous United States at a 30-meter resolution for stream orders 1 through 9.  \nThese data are available for testing as predictor variables for various regional and \nnational groundwater-flow and groundwater-quality statistical models. \n\t  \nThe concept behind MOHP is that for any given point on the earth\u2019s surface there \nis the potential for longer and longer groundwater flow paths as one goes deeper \nand deeper beneath the land surface.  These increasing depths correspond to \nincreasing stream orders.  Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order.  \n\t  \nDSD \u2013 Raster \u2013 Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t  \nLP \u2013 Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. There are 9 \nrasters for streams orders 1 through 9.\n\t  \nCombined, these two factors, DSD and LP, provide a measure or description of \npotential distance of groundwater flow to any location along the groundwater flow \npath.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a6960d42-cbbf-499b-b2ad-74e8f88851b3","harvest_record_raw":"https://catalog.data.gov/harvest_record/a6960d42-cbbf-499b-b2ad-74e8f88851b3/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_72bead86-13ef-47b8-9f0c-910061a33c37","keyword":["Canada","Cycle 3","Groundwater","Hydrologic Position","Mexico","NAWQA","National Rasters","Statistical Predictors","USGS:72bead86-13ef-47b8-9f0c-910061a33c37","United States","Water Quality","environment","geoscientificInformation","inlandWaters"],"last_harvested_date":"2026-09-06T17:56:42.591947","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"U.S. Geological Survey","slug":"national-multi-order-hydrologic-position-mohp-high-resolution-predictor-data-for-groundwat","spatial_centroid":{"lat":34.55148,"lon":-102.86424},"spatial_shape":{"coordinates":[[[-127.8572,23.2444],[-127.8572,51.5121],[-65.3748,51.5121],[-65.3748,23.2444],[-127.8572,23.2444]]],"type":"Polygon"},"theme":["geospatial"],"title":"National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling","type":"dataset"},{"_score":4.741049,"_sort":[1788635655831,4.741049,6,"758dae5e-8c89-42b1-851d-05081ea2a8fe"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Iowa Data Hub Administrators","hasEmail":"mailto:data@iowa.gov"},"description":"This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names.  The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.  GNIS does not include roads, highways, administrative, or cultural features. In 2021, the following geographic features referred to as administrative (cultural or man-made) were removed from GNIS: airport, bridge, building, cemetery, church, dam, forest, harbor, hospital, mine, oilfield, park, post office, reserve, school, tower, trail, tunnel, and well. Some administrative feature data are maintained in other The National Map data themes.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://idh-be.iowa.gov/api/v1/datasets/650/columns.json","describedByType":"application/json","downloadURL":"https://idh-be.iowa.gov/api/v1/datasets/650/rows.json","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://idh-be.iowa.gov/api/v1/datasets/650/rows.csv","mediaType":"text/csv"}],"identifier":"https://data.iowa.gov/catalog/dataset/650","issued":"2025-08-25T21:04:51.062051+00:00","keyword":["geographic names","natural features"],"landingPage":"https://data.iowa.gov/catalog/dataset/650","license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-08-31T16:51:40.030732+00:00","publisher":{"@type":"org:Organization","name":"Data Hub Administration"},"theme":["Infrastructure & Environment"],"title":"Iowa Geographic Names"},"description":"This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names.  The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.  GNIS does not include roads, highways, administrative, or cultural features. In 2021, the following geographic features referred to as administrative (cultural or man-made) were removed from GNIS: airport, bridge, building, cemetery, church, dam, forest, harbor, hospital, mine, oilfield, park, post office, reserve, school, tower, trail, tunnel, and well. Some administrative feature data are maintained in other The National Map data themes.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/58912e85-25c9-4824-ada6-135a1418c7b2","harvest_record_raw":"https://catalog.data.gov/harvest_record/58912e85-25c9-4824-ada6-135a1418c7b2/raw","has_download":true,"has_spatial":false,"identifier":"https://data.iowa.gov/catalog/dataset/650","keyword":["geographic names","natural features"],"last_harvested_date":"2026-09-05T19:14:15.831119","organization":{"aliases":["ia"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"2efac508-2a39-46d4-8d0c-e034d17e928f","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_IA.png","name":"State of Iowa","organization_type":"State Government","slug":"iowa"},"parent_identifier":null,"popularity":6,"publisher":"Data Hub Administration","slug":"iowa-geographic-names","spatial_centroid":null,"spatial_shape":null,"theme":["Infrastructure & Environment"],"title":"Iowa Geographic Names","type":"dataset"},{"_score":12.229578,"_sort":[1788635372877,12.229578,0,"610744f6-e148-447a-ae3c-220f4452d0d5"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kenneth G. Boykin","hasEmail":"mailto:kboykin@nmsu.edu"},"description":"This dataset contains the result of the bioclimatic-envelope modeling of the two reptile species -- Rio Grande Cooter (Pseudemys gorzugi) and Gray-Checkered Whiptail (Aspidoscelis dixoni) -- in the South Central US using the downscaled data provided by WorldClim.  We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone.  We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR).  We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5).  Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070.  It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day.  The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F7XS5SJH","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.583324a0e4b046f05f211a7d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_583324a0e4b046f05f211a7d","keyword":["Aspidoscelis dixoni","Gray-Checkered Whiptail","Pseudemys gorzugi","Rio Grande Cooter","USGS:583324a0e4b046f05f211a7d","bioclimatic-envelope","biota","climatologyMeteorologyAtmosphere","geospatial datasets","herpetofauna","modeling"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-112.586128217, 31.332172208, -106.486128241, 35.4988388585","theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for reptile species in South Central USA"},"description":"This dataset contains the result of the bioclimatic-envelope modeling of the two reptile species -- Rio Grande Cooter (Pseudemys gorzugi) and Gray-Checkered Whiptail (Aspidoscelis dixoni) -- in the South Central US using the downscaled data provided by WorldClim.  We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone.  We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR).  We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5).  Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070.  It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day.  The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3b46a8f6-e3ee-47b3-a24e-ce90d4093d13","harvest_record_raw":"https://catalog.data.gov/harvest_record/3b46a8f6-e3ee-47b3-a24e-ce90d4093d13/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_583324a0e4b046f05f211a7d","keyword":["Aspidoscelis dixoni","Gray-Checkered Whiptail","Pseudemys gorzugi","Rio Grande Cooter","USGS:583324a0e4b046f05f211a7d","bioclimatic-envelope","biota","climatologyMeteorologyAtmosphere","geospatial datasets","herpetofauna","modeling"],"last_harvested_date":"2026-09-05T19:09:32.877056","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"projected-future-bioclimate-envelope-suitability-for-reptile-species-in-south-central-usa","spatial_centroid":{"lat":32.9988388682,"lon":-110.14612822659998},"spatial_shape":{"coordinates":[[[-112.586128217,31.332172208],[-112.586128217,35.4988388585],[-106.486128241,35.4988388585],[-106.486128241,31.332172208],[-112.586128217,31.332172208]]],"type":"Polygon"},"theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for reptile species in South Central USA","type":"dataset"},{"_score":8.763418,"_sort":[1788635090300,8.763418,1,"e1cf63ea-cac7-49f0-be33-45dd67b5d604"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Luke Winslow","hasEmail":"mailto:lwinslow@usgs.gov"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://dx.doi.org/10.5066/F7028PN4","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.57473491e4b07e28b663d822.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57473491e4b07e28b663d822","keyword":["007","012","US","USGS:57473491e4b07e28b663d822","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.91, 42.48, -86.75, 47.54","theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Stable Clarity"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/63cec2ed-5be2-4b11-9fd4-2e254fd79f86","harvest_record_raw":"https://catalog.data.gov/harvest_record/63cec2ed-5be2-4b11-9fd4-2e254fd79f86/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57473491e4b07e28b663d822","keyword":["007","012","US","USGS:57473491e4b07e28b663d822","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"last_harvested_date":"2026-09-05T19:04:50.300138","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"wisconsin-lake-temperature-metrics-stable-clarity","spatial_centroid":{"lat":44.504,"lon":-90.446},"spatial_shape":{"coordinates":[[[-92.91,42.48],[-92.91,47.54],[-86.75,47.54],[-86.75,42.48],[-92.91,42.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Stable Clarity","type":"dataset"},{"_score":8.100453,"_sort":[1788634881825,8.100453,0,"f3d26010-cccb-46f4-9506-001aaf0b7c9f"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Climate Adaptation Science Centers","hasEmail":"mailto:casc-data@usgs.gov"},"description":"This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in the southwest South Dakota study site. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. It represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). The model was built using the ST-Sim software platform. \nFrom http://wiki.syncrosim.com/index.php?title=Main_Page: ST-Sim allows users to develop and run spatially-explicit, stochastic state-and-transition simulation models (STSMs) of vegetation change, and is designed to simulate and compare possible vegetation conditions across a landscape over time by considering the interaction between succession, disturbances and management. ST-Sim is the latest in a 20-year lineage of STSM development tools that includes the Vegetation Dynamics Development Tool (VDDT), the Tool for Exploratory Landscape Scenario Analysis (TELSA), and the Path Landscape Model (Path). ST-Sim is intended as an upgrade to Path: in addition to all of the previous Path features, ST-Sim also provides a new option to run raster-based, spatially-explicit simulations.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F7T1524X","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.58e7ae48e4b09da6799c0e55.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_58e7ae48e4b09da6799c0e55","keyword":["Badlands National Park","Bison","Buffalo Gap National Grassland","Grazing","Northern Great Plains","South Dakota","State-and-transition simulation model","USGS:58e7ae48e4b09da6799c0e55","cattle","climate change","environment","fires","geospatial datasets","invasive species","livestock","modeling","scenario planning"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-103.1759, 43.1995, -101.4480, 44.0587","theme":["geospatial"],"title":"State-and-Transition Simulation Model of Rangeland Vegetation in Southwest South Dakota (1969-2050)"},"description":"This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in the southwest South Dakota study site. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. It represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). The model was built using the ST-Sim software platform. \nFrom http://wiki.syncrosim.com/index.php?title=Main_Page: ST-Sim allows users to develop and run spatially-explicit, stochastic state-and-transition simulation models (STSMs) of vegetation change, and is designed to simulate and compare possible vegetation conditions across a landscape over time by considering the interaction between succession, disturbances and management. ST-Sim is the latest in a 20-year lineage of STSM development tools that includes the Vegetation Dynamics Development Tool (VDDT), the Tool for Exploratory Landscape Scenario Analysis (TELSA), and the Path Landscape Model (Path). ST-Sim is intended as an upgrade to Path: in addition to all of the previous Path features, ST-Sim also provides a new option to run raster-based, spatially-explicit simulations.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/27a06cbb-eee2-4d7b-8bf4-10a849a8e556","harvest_record_raw":"https://catalog.data.gov/harvest_record/27a06cbb-eee2-4d7b-8bf4-10a849a8e556/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_58e7ae48e4b09da6799c0e55","keyword":["Badlands National Park","Bison","Buffalo Gap National Grassland","Grazing","Northern Great Plains","South Dakota","State-and-transition simulation model","USGS:58e7ae48e4b09da6799c0e55","cattle","climate change","environment","fires","geospatial datasets","invasive species","livestock","modeling","scenario planning"],"last_harvested_date":"2026-09-05T19:01:21.825628","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"state-and-transition-simulation-model-of-rangeland-vegetation-in-southwest-south-1969-2050","spatial_centroid":{"lat":43.54318,"lon":-102.48473999999999},"spatial_shape":{"coordinates":[[[-103.1759,43.1995],[-103.1759,44.0587],[-101.448,44.0587],[-101.448,43.1995],[-103.1759,43.1995]]],"type":"Polygon"},"theme":["geospatial"],"title":"State-and-Transition Simulation Model of Rangeland Vegetation in Southwest South Dakota (1969-2050)","type":"dataset"},{"_score":6.7393923,"_sort":[1788634806676,6.7393923,5,"ecff340e-3458-4575-be26-e3f864fadaec"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Alaska Science Center","hasEmail":"mailto:gs-ak_asc_datamanagers@usgs.gov"},"description":"This dataset contains fatty acid (FA) data expressed as mass percent of total FA for bearded seals, ringed seals and walrus. This is one of many datasets used in Bromaghin et al. 2016 (https://doi.org/10.1111/2041-210X.12456). These supplemental data were used in computer simulations to compare the bias of several quantitative fatty acid signature analysis (QFASA) estimators and develop recommendations regarding estimator selection.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7PR7T2W","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.ASC31.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC31","keyword":["Alaska","Animals/Vertebrates","Arctic","Bearded seal","Bears","Biological informatics","Biota","Carnivores","Chukchi Sea","Coastal ecosystems","Diet composition","Diet estimation","Diets","Environment","Erignathus barbatus","Fatty Acids","Mammals","Marine ecosystems","Marine mammals","Pelagic habitat","Pinniped","Polar bear","Predator-prey","Pusa hispida","QFASA","Quantitative fatty acid signature analysis","Ringed seal","Seals/Sea lions/Walruses","USGS:ASC31","Ursus maritimus","Wildlife"],"modified":"2024-11-30T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-173.0, 65.0, -155.0, 72.0","theme":["geospatial"],"title":"Assessing the Robustness of Quantitative Fatty Acid Signature Analysis to Assumption Violations (Supplementary Data)"},"description":"This dataset contains fatty acid (FA) data expressed as mass percent of total FA for bearded seals, ringed seals and walrus. This is one of many datasets used in Bromaghin et al. 2016 (https://doi.org/10.1111/2041-210X.12456). These supplemental data were used in computer simulations to compare the bias of several quantitative fatty acid signature analysis (QFASA) estimators and develop recommendations regarding estimator selection.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/90706ff6-c634-4205-99b0-b496c559c717","harvest_record_raw":"https://catalog.data.gov/harvest_record/90706ff6-c634-4205-99b0-b496c559c717/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_ASC31","keyword":["Alaska","Animals/Vertebrates","Arctic","Bearded seal","Bears","Biological informatics","Biota","Carnivores","Chukchi Sea","Coastal ecosystems","Diet composition","Diet estimation","Diets","Environment","Erignathus barbatus","Fatty Acids","Mammals","Marine ecosystems","Marine mammals","Pelagic habitat","Pinniped","Polar bear","Predator-prey","Pusa hispida","QFASA","Quantitative fatty acid signature analysis","Ringed seal","Seals/Sea lions/Walruses","USGS:ASC31","Ursus maritimus","Wildlife"],"last_harvested_date":"2026-09-05T19:00:06.676583","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":5,"publisher":"U.S. Geological Survey","slug":"assessing-the-robustness-of-quantitative-fatty-acid-signature-analysis-to-assumption-viola","spatial_centroid":{"lat":67.8,"lon":-165.8},"spatial_shape":{"coordinates":[[[-173.0,65.0],[-173.0,72.0],[-155.0,72.0],[-155.0,65.0],[-173.0,65.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Assessing the Robustness of Quantitative Fatty Acid Signature Analysis to Assumption Violations (Supplementary Data)","type":"dataset"},{"_score":8.471954,"_sort":[1788634720058,8.471954,0,"190fdbec-3b1d-4cf1-b631-18ba9ac18637"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Toni Lyn Morelli","hasEmail":"mailto:tmorelli@usgs.gov"},"description":"We developed maps of of projected present and future climate niches for 9 focal species (including 4 plants [common bearberry, Bebb's sedge, highland rush, and shrubby five-fingers], 2 birds [grasshopper sparrow and black-throated green warbler], and 3 salamanders [blue-spotted salamander, jefferson salamander, and marbled salamander]) to identify climate change refugia, areas on the landscape relatively buffered from contemporary climate change. Climate change refugia were considered to be those areas projected to be climatically suitable now and in 2080. These maps are intended to inform management plans for refugia conservation throughout the northeastern United States, especially in protected areas including national parks, and can be used to support both climate adaptation efforts for focal species in protected areas individually and facilitate cross-boundary collaborations as species ranges shift across parks in the Northeast.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P16X6UKM","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.3b355ab9-bf4c-4b6c-a1c8-dab89366d5c7.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_3b355ab9-bf4c-4b6c-a1c8-dab89366d5c7","keyword":["USGS:3b355ab9-bf4c-4b6c-a1c8-dab89366d5c7","biota","climate adaptation","climate change","climate change refugia","climate envelope","climate niche","effects of climate change","environment","geospatial datasets","species range shifts"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-83.6792, 34.5292, -66.4792, 49.3625","theme":["geospatial"],"title":"Maps of the climate envelopes of 9 focal species in the northeastern United States in 2020 and 2080 under RCP 8.5"},"description":"We developed maps of of projected present and future climate niches for 9 focal species (including 4 plants [common bearberry, Bebb's sedge, highland rush, and shrubby five-fingers], 2 birds [grasshopper sparrow and black-throated green warbler], and 3 salamanders [blue-spotted salamander, jefferson salamander, and marbled salamander]) to identify climate change refugia, areas on the landscape relatively buffered from contemporary climate change. Climate change refugia were considered to be those areas projected to be climatically suitable now and in 2080. These maps are intended to inform management plans for refugia conservation throughout the northeastern United States, especially in protected areas including national parks, and can be used to support both climate adaptation efforts for focal species in protected areas individually and facilitate cross-boundary collaborations as species ranges shift across parks in the Northeast.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2f5e0bf4-0d8f-4ccf-99ab-ee261230e949","harvest_record_raw":"https://catalog.data.gov/harvest_record/2f5e0bf4-0d8f-4ccf-99ab-ee261230e949/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_3b355ab9-bf4c-4b6c-a1c8-dab89366d5c7","keyword":["USGS:3b355ab9-bf4c-4b6c-a1c8-dab89366d5c7","biota","climate adaptation","climate change","climate change refugia","climate envelope","climate niche","effects of climate change","environment","geospatial datasets","species range shifts"],"last_harvested_date":"2026-09-05T18:58:40.058142","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"maps-of-the-climate-envelopes-of-9-focal-species-in-the-northeastern-united-states-in-2020","spatial_centroid":{"lat":40.46252,"lon":-76.7992},"spatial_shape":{"coordinates":[[[-83.6792,34.5292],[-83.6792,49.3625],[-66.4792,49.3625],[-66.4792,34.5292],[-83.6792,34.5292]]],"type":"Polygon"},"theme":["geospatial"],"title":"Maps of the climate envelopes of 9 focal species in the northeastern United States in 2020 and 2080 under RCP 8.5","type":"dataset"},{"_score":11.191343,"_sort":[1788634357708,11.191343,0,"d4038ec1-2954-42c6-a812-d558e4a02fe6"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kenneth G. Boykin","hasEmail":"mailto:kboykin@nmsu.edu"},"description":"This dataset contains the result of the bioclimatic-envelope modeling of the six mammal species -- (a) New Mexican Jumping Mouse (Zapus hudsonius luteus), (b) Northern Pygmy Mouse (Baiomys taylori), (c) Gunnison's Prairie Dog (Cynomys gunnisoni), (d) Black-tailed Prairie Dog (Cynomys ludovicianus), (e) American Pika (Ochotona princeps), and (e) Swift Fox (Vulpes velox) -- in the South Central US using the downscaled data provided by WorldClim.  We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone.  We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR).  We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5).  Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070.  It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day.  The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution":[{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.583322bee4b046f05f211a6b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_583322bee4b046f05f211a6b","keyword":["American Pika","Baiomys taylori","Black-tailed Prairie Dog","Cynomys gunnisoni","Cynomys ludovicianus","Gunnison's Prairie Dog","New Mexican Jumping Mouse","Northern Pygmy Mouse","Ochotona princeps","Swift Fox","USGS:583322bee4b046f05f211a6b","Vulpes velox","Zapus hudsonius luteus","bioclimatic-envelope","biota","climate change","climatologyMeteorologyAtmosphere","geospatial datasets","modeling"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-112.5861, 31.3322, -106.4861, 35.4988","theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for mammal species in South Central USA"},"description":"This dataset contains the result of the bioclimatic-envelope modeling of the six mammal species -- (a) New Mexican Jumping Mouse (Zapus hudsonius luteus), (b) Northern Pygmy Mouse (Baiomys taylori), (c) Gunnison's Prairie Dog (Cynomys gunnisoni), (d) Black-tailed Prairie Dog (Cynomys ludovicianus), (e) American Pika (Ochotona princeps), and (e) Swift Fox (Vulpes velox) -- in the South Central US using the downscaled data provided by WorldClim.  We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone.  We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR).  We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5).  Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070.  It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day.  The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ac5f2efd-8a07-47bf-bcac-3f977a8b2f51","harvest_record_raw":"https://catalog.data.gov/harvest_record/ac5f2efd-8a07-47bf-bcac-3f977a8b2f51/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_583322bee4b046f05f211a6b","keyword":["American Pika","Baiomys taylori","Black-tailed Prairie Dog","Cynomys gunnisoni","Cynomys ludovicianus","Gunnison's Prairie Dog","New Mexican Jumping Mouse","Northern Pygmy Mouse","Ochotona princeps","Swift Fox","USGS:583322bee4b046f05f211a6b","Vulpes velox","Zapus hudsonius luteus","bioclimatic-envelope","biota","climate change","climatologyMeteorologyAtmosphere","geospatial datasets","modeling"],"last_harvested_date":"2026-09-05T18:52:37.708750","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"projected-future-bioclimate-envelope-suitability-for-mammal-species-in-south-central-usa","spatial_centroid":{"lat":32.99884,"lon":-110.1461},"spatial_shape":{"coordinates":[[[-112.5861,31.3322],[-112.5861,35.4988],[-106.4861,35.4988],[-106.4861,31.3322],[-112.5861,31.3322]]],"type":"Polygon"},"theme":["geospatial"],"title":"Projected future bioclimate-envelope suitability for mammal species in South Central USA","type":"dataset"},{"_score":8.851894,"_sort":[1788634343328,8.851894,2,"e3548643-25f3-4a5b-a4fd-8457c75c4e4d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Luke Winslow","hasEmail":"mailto:lwinslow@usgs.gov"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://dx.doi.org/10.5066/F7028PN4","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.57473446e4b07e28b663d81a.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57473446e4b07e28b663d81a","keyword":["007","012","US","USGS:57473446e4b07e28b663d81a","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.91, 42.48, -86.75, 47.54","theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Decreasing Clarity"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/93f65afe-a523-451d-a9d3-0c5782d6b688","harvest_record_raw":"https://catalog.data.gov/harvest_record/93f65afe-a523-451d-a9d3-0c5782d6b688/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57473446e4b07e28b663d81a","keyword":["007","012","US","USGS:57473446e4b07e28b663d81a","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"last_harvested_date":"2026-09-05T18:52:23.328381","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"wisconsin-lake-temperature-metrics-decreasing-clarity","spatial_centroid":{"lat":44.504,"lon":-90.446},"spatial_shape":{"coordinates":[[[-92.91,42.48],[-92.91,47.54],[-86.75,47.54],[-86.75,42.48],[-92.91,42.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Decreasing Clarity","type":"dataset"},{"_score":10.019249,"_sort":[1788633488108,10.019249,2,"2bc7b65b-db44-47cb-886b-e60e43b5b0f1"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"HARV_POLY: This dataset represents completed harvest land treatments on BLM managed lands in the states of Oregon and Washington. Harvest treatments are the cutting and removal or trees or biomass.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/2aef15715fcf4a50a282c51f288ba4f5/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/csv?layers=3","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/excel?layers=3","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/featureCollection?layers=3","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/filegdb?layers=3","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/geojson?layers=3","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/gpkg?layers=3","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/kml?layers=3","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/shapefile?layers=3","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/2aef15715fcf4a50a282c51f288ba4f5/sqlite?layers=3","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-harvest-land-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Harvest_Land_Treatments_Polygon_Hub/FeatureServer/3","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=2aef15715fcf4a50a282c51f288ba4f5&sublayer=3","issued":"2022-09-26T15:45:18Z","keyword":["Biomass","Completed","Geospatial","Harvest","Management","Oregon","Treatments","Trees","Vegetation","Washington","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-harvest-land-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:19:58Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Harvest Land Treatments Polygon Hub"},"description":"HARV_POLY: This dataset represents completed harvest land treatments on BLM managed lands in the states of Oregon and Washington. Harvest treatments are the cutting and removal or trees or biomass.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/6ad30eed-e985-4c0f-bb03-ecb2604705ef","harvest_record_raw":"https://catalog.data.gov/harvest_record/6ad30eed-e985-4c0f-bb03-ecb2604705ef/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=2aef15715fcf4a50a282c51f288ba4f5&sublayer=3","keyword":["Biomass","Completed","Geospatial","Harvest","Management","Oregon","Treatments","Trees","Vegetation","Washington","biota","environment"],"last_harvested_date":"2026-09-05T18:38:08.108326","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"Bureau of Land Management","slug":"blm-or-harvest-land-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Harvest Land Treatments Polygon Hub","type":"dataset"},{"_score":9.866483,"_sort":[1788633483022,9.866483,2,"d364dc93-124b-4924-ad5d-b4fb793f83cb"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, gkrosts","hasEmail":"mailto:gkrosts@blm.gov"},"description":"LSE_CLM_POLY: This dataset is a spatial representation of Leases and Claims (LSE_CLM).  It is a portion of the total encumbrance data category that includes information about entities, rights, and restrictions relating to the use of Federal minerals.  This dataset contains Leases and Claims within Oregon and Washington BLM-administered lands (surface and subsurface) and over mineral estate in areas of split estate (i.e., areas where the BLM administers Federal mineral estate, but the surface is not owned by the BLM).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/1b9cb36f5a6941f5acb4cdc72098b54a/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/excel?layers=0","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/featureCollection?layers=0","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/gpkg?layers=0","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/1b9cb36f5a6941f5acb4cdc72098b54a/sqlite?layers=0","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-leases-and-claims-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Leases_and_Claims_Polygon_Hub/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=1b9cb36f5a6941f5acb4cdc72098b54a&sublayer=0","issued":"2026-03-17T15:18:11Z","keyword":["Authorization","Claim","Encumbrance","Energy","Geology","Geospatial","Lease","Management","Minerals","Mining","Oregon","Washington","environment","geoscientificInformation"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-leases-and-claims-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-03T12:27:31Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-124.416,49.0001,-117.0047,41.9959","theme":["geospatial"],"title":"BLM OR Leases and Claims Polygon Hub"},"description":"LSE_CLM_POLY: This dataset is a spatial representation of Leases and Claims (LSE_CLM).  It is a portion of the total encumbrance data category that includes information about entities, rights, and restrictions relating to the use of Federal minerals.  This dataset contains Leases and Claims within Oregon and Washington BLM-administered lands (surface and subsurface) and over mineral estate in areas of split estate (i.e., areas where the BLM administers Federal mineral estate, but the surface is not owned by the BLM).","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/79218f9a-22ef-4f1f-a6c3-c86519816431","harvest_record_raw":"https://catalog.data.gov/harvest_record/79218f9a-22ef-4f1f-a6c3-c86519816431/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=1b9cb36f5a6941f5acb4cdc72098b54a&sublayer=0","keyword":["Authorization","Claim","Encumbrance","Energy","Geology","Geospatial","Lease","Management","Minerals","Mining","Oregon","Washington","environment","geoscientificInformation"],"last_harvested_date":"2026-09-05T18:38:03.022961","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"Bureau of Land Management","slug":"blm-or-leases-and-claims-polygon-hub","spatial_centroid":{"lat":46.19842,"lon":-121.45147999999999},"spatial_shape":{"coordinates":[[[-124.416,49.0001],[-124.416,41.9959],[-117.0047,41.9959],[-117.0047,49.0001],[-124.416,49.0001]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Leases and Claims Polygon Hub","type":"dataset"},{"_score":10.143997,"_sort":[1788633479165,10.143997,1,"8a6fd1e5-087f-4ecb-acd3-958d039ba509"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"MECH_POLY: This dataset represents completed mechanical treatments on BLM managed lands in the states of Oregon and Washington. Mechanical treatments are 1.) machine and manual methods of area treatment; 2.) pulling, piling, chopping, grinding, or mowing treatments to consolidate, reduce or clear live or dead vegetation (might be grass, brush, small trees, stump removal), as well as \"Cut-Leave\" of trees, and soil preparation such as plowing or ripping.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/81eb695f59804488adad42cebea2a557/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/csv?layers=4","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/excel?layers=4","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/featureCollection?layers=4","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/filegdb?layers=4","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/geojson?layers=4","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/gpkg?layers=4","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/kml?layers=4","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/shapefile?layers=4","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/81eb695f59804488adad42cebea2a557/sqlite?layers=4","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-mechanical-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Mechanical_Treatments_Polygon_Hub/FeatureServer/4","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=81eb695f59804488adad42cebea2a557&sublayer=4","issued":"2022-09-27T14:15:11Z","keyword":["Completed","Geospatial","Management","Mech","Mechanical","Oregon","Treatments","Vegetation","Washington","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-mechanical-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:23:14Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Mechanical Treatments Polygon Hub"},"description":"MECH_POLY: This dataset represents completed mechanical treatments on BLM managed lands in the states of Oregon and Washington. Mechanical treatments are 1.) machine and manual methods of area treatment; 2.) pulling, piling, chopping, grinding, or mowing treatments to consolidate, reduce or clear live or dead vegetation (might be grass, brush, small trees, stump removal), as well as \"Cut-Leave\" of trees, and soil preparation such as plowing or ripping.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/0c1e417f-0971-4ec2-bb02-0182f9bf375f","harvest_record_raw":"https://catalog.data.gov/harvest_record/0c1e417f-0971-4ec2-bb02-0182f9bf375f/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=81eb695f59804488adad42cebea2a557&sublayer=4","keyword":["Completed","Geospatial","Management","Mech","Mechanical","Oregon","Treatments","Vegetation","Washington","biota","environment"],"last_harvested_date":"2026-09-05T18:37:59.165347","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"Bureau of Land Management","slug":"blm-or-mechanical-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Mechanical Treatments Polygon Hub","type":"dataset"},{"_score":9.796232,"_sort":[1788633476891,9.796232,3,"a06cba37-6e36-4e89-b1c3-402af73b2ffe"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"BIO_POLY: This dataset represents completed biological land treatments for BLM managed lands in the states of Oregon and Washington. Biological treatments are the introduction of foraging species, predators or parasites to control plant or animal pests, or to selectively suppress or remove vegetation.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/32d9114a77c34e6dae1cb666065695ab/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/excel?layers=0","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/featureCollection?layers=0","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/gpkg?layers=0","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/32d9114a77c34e6dae1cb666065695ab/sqlite?layers=0","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-biological-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Biological_Treatments_Polygon_Hub/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=32d9114a77c34e6dae1cb666065695ab&sublayer=0","issued":"2026-05-12T14:45:01Z","keyword":["BIO","Biological","Completed","Disturbance","Fire","Forest","Oregon","Treatments","Vegetation","Washington","biota","economy","environment","farming","location"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-biological-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:12:47Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Biological Treatments Polygon Hub"},"description":"BIO_POLY: This dataset represents completed biological land treatments for BLM managed lands in the states of Oregon and Washington. Biological treatments are the introduction of foraging species, predators or parasites to control plant or animal pests, or to selectively suppress or remove vegetation.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/2b19d4cd-cdc1-4897-bbe1-7d392a88c304","harvest_record_raw":"https://catalog.data.gov/harvest_record/2b19d4cd-cdc1-4897-bbe1-7d392a88c304/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=32d9114a77c34e6dae1cb666065695ab&sublayer=0","keyword":["BIO","Biological","Completed","Disturbance","Fire","Forest","Oregon","Treatments","Vegetation","Washington","biota","economy","environment","farming","location"],"last_harvested_date":"2026-09-05T18:37:56.891627","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"Bureau of Land Management","slug":"blm-or-biological-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Biological Treatments Polygon Hub","type":"dataset"},{"_score":21.809137,"_sort":[1788633475128,21.809137,2,"4f17f574-16ea-48be-ae27-3c013a61ba0d"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, eglenn","hasEmail":"mailto:eglenn@blm.gov"},"description":"<div style='text-align:left;'><div><div><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the San Rafael Swell Recreation Area. As part of the John D. Dingell. Jr. Conservation, Management, and Recreation Act of 2019, Congress designated San Rafael Swell Recreation Area (approximately 217,000 acres). The San Rafael Swell Recreation area features magnificent badlands of brightly colored and wildly eroded sandstone formations, deep canyons, and giant plates of stone tilted upright through massive geologic upheaval. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.</font></p><p><font size='3'>Complete metadata for these data sets can be found at:<br /></font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Congressionally Designated Recreation Areas (Arc)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Congressionally Designated Recreation Areas (Polygon)</u></font></a><br /></li></ul><p></p></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/maps/BLM-EGIS::blm-ut-congressionally-designated-recreation-areas","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/info/metadata?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=7e6f5bcf96ad4ddd8bf1b30e3fde21ff","issued":"2022-05-25T20:58:54Z","keyword":["BLM","Bureau of Land Management","Geospatial","Management","Public Lands","Recreation","Recreation Areas","UT","Utah","Wilderness","Withdrawal","boundaries","environment","planningCadastre"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/maps/BLM-EGIS::blm-ut-congressionally-designated-recreation-areas","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2022-11-04T17:16:45Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-124.4783,29.0842,-82.6747,49.0004","theme":["geospatial"],"title":"BLM UT Congressionally Designated Recreation Areas"},"description":"<div style='text-align:left;'><div><div><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the San Rafael Swell Recreation Area. As part of the John D. Dingell. Jr. Conservation, Management, and Recreation Act of 2019, Congress designated San Rafael Swell Recreation Area (approximately 217,000 acres). The San Rafael Swell Recreation area features magnificent badlands of brightly colored and wildly eroded sandstone formations, deep canyons, and giant plates of stone tilted upright through massive geologic upheaval. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.</font></p><p><font size='3'>Complete metadata for these data sets can be found at:<br /></font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Congressionally Designated Recreation Areas (Arc)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Congressionally Designated Recreation Areas (Polygon)</u></font></a><br /></li></ul><p></p></div></div></div>","distribution_titles":["ArcGIS Hub Dataset","ArcGIS GeoService","ISO-19139 metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/932f687f-f574-471a-9c7d-75195077fd9c","harvest_record_raw":"https://catalog.data.gov/harvest_record/932f687f-f574-471a-9c7d-75195077fd9c/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=7e6f5bcf96ad4ddd8bf1b30e3fde21ff","keyword":["BLM","Bureau of Land Management","Geospatial","Management","Public Lands","Recreation","Recreation Areas","UT","Utah","Wilderness","Withdrawal","boundaries","environment","planningCadastre"],"last_harvested_date":"2026-09-05T18:37:55.128170","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"Bureau of Land Management","slug":"blm-ut-congressionally-designated-recreation-areas","spatial_centroid":{"lat":37.05068,"lon":-107.75686},"spatial_shape":{"coordinates":[[[-124.4783,29.0842],[-124.4783,49.0004],[-82.6747,49.0004],[-82.6747,29.0842],[-124.4783,29.0842]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM UT Congressionally Designated Recreation Areas","type":"dataset"},{"_score":9.911507,"_sort":[1788633472648,9.911507,1,"3845e84e-fc61-43f7-aded-ddcca2a3c58b"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"CHEM_POLY: This dataset represents completed chemical land treatments on BLM managed lands in the states of Oregon and Washington. Chemical treatments are applications of herbicide or pesticide, to control or kill pests and invasive plants, or fertilizer to enhance plant growth.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/51c73397552d44caae568705331aba1d/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/csv?layers=2","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/excel?layers=2","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/featureCollection?layers=2","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/filegdb?layers=2","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/geojson?layers=2","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/gpkg?layers=2","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/kml?layers=2","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/shapefile?layers=2","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/51c73397552d44caae568705331aba1d/sqlite?layers=2","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-chemical-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Chemical_Treatments_Polygon_Hub/FeatureServer/2","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=51c73397552d44caae568705331aba1d&sublayer=2","issued":"2022-09-27T14:00:04Z","keyword":["CHEM","Chemical","Geospatial","Land Use Planning","Management","Oregon","Treatments","Vegetation","Washington","biota","environment","planningCadastre"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-chemical-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:17:46Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Chemical Treatments Polygon Hub"},"description":"CHEM_POLY: This dataset represents completed chemical land treatments on BLM managed lands in the states of Oregon and Washington. Chemical treatments are applications of herbicide or pesticide, to control or kill pests and invasive plants, or fertilizer to enhance plant growth.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/e805e397-954c-4846-b996-1254770ef182","harvest_record_raw":"https://catalog.data.gov/harvest_record/e805e397-954c-4846-b996-1254770ef182/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=51c73397552d44caae568705331aba1d&sublayer=2","keyword":["CHEM","Chemical","Geospatial","Land Use Planning","Management","Oregon","Treatments","Vegetation","Washington","biota","environment","planningCadastre"],"last_harvested_date":"2026-09-05T18:37:52.648547","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"Bureau of Land Management","slug":"blm-or-chemical-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Chemical Treatments Polygon Hub","type":"dataset"},{"_score":10.150386,"_sort":[1788633467625,10.150386,2,"be6cbaa0-e542-4747-8be3-23c9959aa6d2"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"REVEG_POLY: This dataset represents completed revegetation treatments on BLM managed lands in the states of Oregon and Washington. Revegetation treatments are revegetation by planting or seeding.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/b8f8401423d24bd9b85811b474f071ab/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/csv?layers=6","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/excel?layers=6","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/featureCollection?layers=6","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/filegdb?layers=6","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/geojson?layers=6","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/gpkg?layers=6","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/kml?layers=6","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/shapefile?layers=6","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b8f8401423d24bd9b85811b474f071ab/sqlite?layers=6","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-revegetation-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Revegetation_Treatments_Polygon_Hub/FeatureServer/6","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=b8f8401423d24bd9b85811b474f071ab&sublayer=6","issued":"2022-07-26T14:27:33Z","keyword":["Completed","Geospatial","Management","Oregon","Planting","Revegetation","Seed","Treatments","Vegetation","Washington","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-revegetation-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:31:40Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Revegetation Treatments Polygon Hub"},"description":"REVEG_POLY: This dataset represents completed revegetation treatments on BLM managed lands in the states of Oregon and Washington. Revegetation treatments are revegetation by planting or seeding.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/453651d9-4478-4011-9e16-d0343f21e169","harvest_record_raw":"https://catalog.data.gov/harvest_record/453651d9-4478-4011-9e16-d0343f21e169/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=b8f8401423d24bd9b85811b474f071ab&sublayer=6","keyword":["Completed","Geospatial","Management","Oregon","Planting","Revegetation","Seed","Treatments","Vegetation","Washington","biota","environment"],"last_harvested_date":"2026-09-05T18:37:47.625183","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"Bureau of Land Management","slug":"blm-or-revegetation-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Revegetation Treatments Polygon Hub","type":"dataset"},{"_score":9.337723,"_sort":[1788633464280,9.337723,1,"1b41f460-9312-4656-8c96-c2a5508ca0ad"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"PROT_POLY: This dataset represents completed treatments involving fenced exclosures or protective devices on trees or soil surfaces on BLM managed lands in the states of Oregon and Washington. The entire area is considered \"treated\" with protection measures. The individual structures or devices used may or may not be captured on a separate theme (STRCT_ARC and/or STRCT_PT).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/b73744ee8dce44baa2a1e3782d43411f/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/csv?layers=5","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/excel?layers=5","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/featureCollection?layers=5","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/filegdb?layers=5","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/geojson?layers=5","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/gpkg?layers=5","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/kml?layers=5","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/shapefile?layers=5","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b73744ee8dce44baa2a1e3782d43411f/sqlite?layers=5","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-exclosure-protection-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Exclosure_Protection_Treatments_Polygon_Hub/FeatureServer/5","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=b73744ee8dce44baa2a1e3782d43411f&sublayer=5","issued":"2025-11-19T15:29:49Z","keyword":["Completed","Disturbance","Exclosures","Fire","Forest","Land Use Planning","Oregon","Protection","Treatments","Vegetation","Washington","biota","economy","environment","farming","location"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-exclosure-protection-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:29:18Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Exclosure Protection Treatments Polygon Hub"},"description":"PROT_POLY: This dataset represents completed treatments involving fenced exclosures or protective devices on trees or soil surfaces on BLM managed lands in the states of Oregon and Washington. The entire area is considered \"treated\" with protection measures. The individual structures or devices used may or may not be captured on a separate theme (STRCT_ARC and/or STRCT_PT).","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/357c8544-381c-4510-a20c-c9659f2a88d3","harvest_record_raw":"https://catalog.data.gov/harvest_record/357c8544-381c-4510-a20c-c9659f2a88d3/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=b73744ee8dce44baa2a1e3782d43411f&sublayer=5","keyword":["Completed","Disturbance","Exclosures","Fire","Forest","Land Use Planning","Oregon","Protection","Treatments","Vegetation","Washington","biota","economy","environment","farming","location"],"last_harvested_date":"2026-09-05T18:37:44.280437","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"Bureau of Land Management","slug":"blm-or-exclosure-protection-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Exclosure Protection Treatments Polygon Hub","type":"dataset"},{"_score":21.255915,"_sort":[1788633460034,21.255915,0,"92259a8c-1c56-4ef6-abf5-5ce60bebca4c"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, eglenn","hasEmail":"mailto:eglenn@blm.gov"},"description":"<div style='text-align:left;'><div><div><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the San Rafael Swell Recreation Area. As part of the John D. Dingell. Jr. Conservation, Management, and Recreation Act of 2019, Congress designated San Rafael Swell Recreation Area (approximately 217,000 acres). The San Rafael Swell Recreation area features magnificent badlands of brightly colored and wildly eroded sandstone formations, deep canyons, and giant plates of stone tilted upright through massive geologic upheaval. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.</font></p><p><font size='3'>Complete metadata for these data sets can be found at:<br /></font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Congressionally Designated Recreation Areas (Arc)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Congressionally Designated Recreation Areas (Polygon)</u></font></a><br /></li></ul><p></p></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/7e6f5bcf96ad4ddd8bf1b30e3fde21ff/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/7e6f5bcf96ad4ddd8bf1b30e3fde21ff/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/7e6f5bcf96ad4ddd8bf1b30e3fde21ff/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/7e6f5bcf96ad4ddd8bf1b30e3fde21ff/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/7e6f5bcf96ad4ddd8bf1b30e3fde21ff/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-congressionally-designated-recreation-areas-arc","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"},{"@type":"dcat:Distribution","accessURL":"https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0/metadata?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=7e6f5bcf96ad4ddd8bf1b30e3fde21ff&sublayer=0","issued":"2022-05-25T20:58:54Z","keyword":["BLM","Bureau of Land Management","Geospatial","Management","Public Lands","Recreation","Recreation Areas","UT","Utah","Wilderness","Withdrawal","boundaries","environment","planningCadastre"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-congressionally-designated-recreation-areas-arc","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2022-11-04T17:16:45Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-111.1026,39.2194,-110.3983,38.4984","theme":["geospatial"],"title":"BLM UT Congressionally Designated Recreation Areas (Arc)"},"description":"<div style='text-align:left;'><div><div><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the San Rafael Swell Recreation Area. As part of the John D. Dingell. Jr. Conservation, Management, and Recreation Act of 2019, Congress designated San Rafael Swell Recreation Area (approximately 217,000 acres). The San Rafael Swell Recreation area features magnificent badlands of brightly colored and wildly eroded sandstone formations, deep canyons, and giant plates of stone tilted upright through massive geologic upheaval. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.</font></p><p><font size='3'>Complete metadata for these data sets can be found at:<br /></font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Congressionally Designated Recreation Areas (Arc)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RecAreas/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Congressionally Designated Recreation Areas (Polygon)</u></font></a><br /></li></ul><p></p></div></div></div>","distribution_titles":["CSV","File Geodatabase","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService","ISO-19139 metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dd5b2bbe-9fdb-4493-a94a-ea44609c3030","harvest_record_raw":"https://catalog.data.gov/harvest_record/dd5b2bbe-9fdb-4493-a94a-ea44609c3030/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=7e6f5bcf96ad4ddd8bf1b30e3fde21ff&sublayer=0","keyword":["BLM","Bureau of Land Management","Geospatial","Management","Public Lands","Recreation","Recreation Areas","UT","Utah","Wilderness","Withdrawal","boundaries","environment","planningCadastre"],"last_harvested_date":"2026-09-05T18:37:40.034869","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"Bureau of Land Management","slug":"blm-ut-congressionally-designated-recreation-areas-arc","spatial_centroid":{"lat":38.931,"lon":-110.82087999999999},"spatial_shape":{"coordinates":[[[-111.1026,39.2194],[-111.1026,38.4984],[-110.3983,38.4984],[-110.3983,39.2194],[-111.1026,39.2194]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM UT Congressionally Designated Recreation Areas (Arc)","type":"dataset"},{"_score":9.899767,"_sort":[1788633457807,9.899767,3,"90041f15-0e41-449e-b983-49696ba563f4"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, rjcarter","hasEmail":"mailto:rjcarter@blm.gov"},"description":"SAMPLE_PT: This dataset represents monitoring and sample locations (points). Monitoring is a generic term describing various kinds of assessments that the BLM makes on public land natural resources and/or management actions undertaken. The SAMPLE_PT dataset represents places where a measurement of some type has occurred. Examples of measurement types are: vegetation transects or plots, soil pit descriptions, and observations/photos of resource use or impact. For full documentation see SAMPLE POINTS SPATIAL DATA STANDARD. http://www.blm.gov/or/efoia/fy2012/im/p/im-or-2012-051.pdf","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/e8d0b8852ad1498ab300b6419f31cc27/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/excel?layers=0","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/featureCollection?layers=0","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/gpkg?layers=0","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/e8d0b8852ad1498ab300b6419f31cc27/sqlite?layers=0","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-monitoring-and-sample-point-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Monitoring_and_Sample_Point_Hub/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=e8d0b8852ad1498ab300b6419f31cc27&sublayer=0","issued":"2022-09-22T15:37:23Z","keyword":["Geospatial","Management","Monitoring","Monitoring Points","Oregon","Sample Points","Samples","Vegetation","Washington","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-monitoring-and-sample-point-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-03T13:11:23Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Monitoring and Sample Point Hub"},"description":"SAMPLE_PT: This dataset represents monitoring and sample locations (points). Monitoring is a generic term describing various kinds of assessments that the BLM makes on public land natural resources and/or management actions undertaken. The SAMPLE_PT dataset represents places where a measurement of some type has occurred. Examples of measurement types are: vegetation transects or plots, soil pit descriptions, and observations/photos of resource use or impact. For full documentation see SAMPLE POINTS SPATIAL DATA STANDARD. http://www.blm.gov/or/efoia/fy2012/im/p/im-or-2012-051.pdf","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/fe09df1e-44c9-4bc8-8468-ac0f4cbbd128","harvest_record_raw":"https://catalog.data.gov/harvest_record/fe09df1e-44c9-4bc8-8468-ac0f4cbbd128/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=e8d0b8852ad1498ab300b6419f31cc27&sublayer=0","keyword":["Geospatial","Management","Monitoring","Monitoring Points","Oregon","Sample Points","Samples","Vegetation","Washington","biota","environment"],"last_harvested_date":"2026-09-05T18:37:37.807583","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":3,"publisher":"Bureau of Land Management","slug":"blm-or-monitoring-and-sample-point-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Monitoring and Sample Point Hub","type":"dataset"},{"_score":10.140824,"_sort":[1788633457490,10.140824,7,"e5853919-d487-4b3b-8cac-f33577272e32"],"dcat":{"accessLevel":"public","bureauCode":["010:04"],"contactPoint":{"@type":"vcard:Contact","fn":"Bureau of Land Management, sjeronimo","hasEmail":"mailto:sjeronimo@blm.gov"},"description":"BURN_POLY: This dataset represents completed burn land treatments on BLM managed lands in the states of Oregon and Washington. Burn treatments are prescribed burning of wildland fuels in either their natural or modified state, and under specified environmental conditions.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://blm-egis.maps.arcgis.com/sharing/rest/content/items/8442ad4f14e14f3b9e91db9d699968b6/info/metadata/metadata.xml?format=iso19139","mediaType":"text/xml","title":"ISO-19139 metadata"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/csv?layers=1","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/excel?layers=1","format":"XLSX","mediaType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/featureCollection?layers=1","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/filegdb?layers=1","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/geojson?layers=1","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/gpkg?layers=1","format":"ZIP","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/kml?layers=1","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/shapefile?layers=1","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/8442ad4f14e14f3b9e91db9d699968b6/sqlite?layers=1","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite"},{"@type":"dcat:Distribution","accessURL":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-prescribed-fire-treatments-polygon-hub","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_OR_Prescribed_Fire_Treatments_Polygon_Hub/FeatureServer/1","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=8442ad4f14e14f3b9e91db9d699968b6&sublayer=1","issued":"2022-09-27T13:50:56Z","keyword":["Burn","Completed","Fire","Geospatial","Management","Oregon","Treatments","Vegetation","Washington","biota","environment"],"landingPage":"https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-prescribed-fire-treatments-polygon-hub","license":"http://www.usa.gov/publicdomain/label/1.0/","modified":"2026-09-02T12:15:21Z","programCode":["010:000"],"publisher":{"@type":"org:Organization","name":"Bureau of Land Management"},"spatial":"-125,49,-116,42","theme":["geospatial"],"title":"BLM OR Prescribed Fire Treatments Polygon Hub"},"description":"BURN_POLY: This dataset represents completed burn land treatments on BLM managed lands in the states of Oregon and Washington. Burn treatments are prescribed burning of wildland fuels in either their natural or modified state, and under specified environmental conditions.","distribution_titles":["ISO-19139 metadata","CSV","Excel","Feature Collection","File Geodatabase","GeoJSON","GeoPackage","KML","Shapefile","SQLite","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/008386da-8e0c-4370-bafd-d629dd029bc5","harvest_record_raw":"https://catalog.data.gov/harvest_record/008386da-8e0c-4370-bafd-d629dd029bc5/raw","has_download":false,"has_spatial":true,"identifier":"https://blm-egis.maps.arcgis.com/home/item.html?id=8442ad4f14e14f3b9e91db9d699968b6&sublayer=1","keyword":["Burn","Completed","Fire","Geospatial","Management","Oregon","Treatments","Vegetation","Washington","biota","environment"],"last_harvested_date":"2026-09-05T18:37:37.490313","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":7,"publisher":"Bureau of Land Management","slug":"blm-or-prescribed-fire-treatments-polygon-hub","spatial_centroid":{"lat":46.2,"lon":-121.4},"spatial_shape":{"coordinates":[[[-125,49],[-125,42],[-116,42],[-116,49],[-125,49]]],"type":"Polygon"},"theme":["geospatial"],"title":"BLM OR Prescribed Fire Treatments Polygon Hub","type":"dataset"},{"_score":9.030119,"_sort":[1788633133163,9.030119,1,"801011d8-3cb2-4d6f-b4bc-f837e77a2d33"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Ronald B. Zelt","hasEmail":"mailto:rbzelt@usgs.gov"},"description":"Mineral resource areas are defined as those areas with a high likelihood of containing occurrences of valuable mineral deposits.  A variety of sources of minerals information were consulted in compiling a digital map of mineral resource areas for metallic minerals in the Yellowstone River Basin. Source scales varied, but were no smaller than 1:500,000.  The data are intended for river-basin level assessment and general analysis and are not suitable for site-specific analyses.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/p9q9d135","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.b5b40ce4-0aca-4cc1-bf76-7e59d46122fa.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","keyword":["Montana","USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","Wyoming","Yellowstone River","Yellowstone River Basin","environment","geoscientificInformation","inlandWaters","metals","mineral deposits","mineralized areas","uranium"],"modified":"2004-11-08T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-110.7513, 42.4787, -105.6860, 45.6279","theme":["geospatial"],"title":"Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming"},"description":"Mineral resource areas are defined as those areas with a high likelihood of containing occurrences of valuable mineral deposits.  A variety of sources of minerals information were consulted in compiling a digital map of mineral resource areas for metallic minerals in the Yellowstone River Basin. Source scales varied, but were no smaller than 1:500,000.  The data are intended for river-basin level assessment and general analysis and are not suitable for site-specific analyses.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/10aa6e87-962f-4ed5-a69c-79f847afcf29","harvest_record_raw":"https://catalog.data.gov/harvest_record/10aa6e87-962f-4ed5-a69c-79f847afcf29/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","keyword":["Montana","USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa","Wyoming","Yellowstone River","Yellowstone River Basin","environment","geoscientificInformation","inlandWaters","metals","mineral deposits","mineralized areas","uranium"],"last_harvested_date":"2026-09-05T18:32:13.163892","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"mineral-resource-areas-of-the-yellowstone-river-basin-montana-and-wyoming","spatial_centroid":{"lat":43.73838,"lon":-108.72518},"spatial_shape":{"coordinates":[[[-110.7513,42.4787],[-110.7513,45.6279],[-105.686,45.6279],[-105.686,42.4787],[-110.7513,42.4787]]],"type":"Polygon"},"theme":["geospatial"],"title":"Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming","type":"dataset"},{"_score":8.96236,"_sort":[1788632557153,8.96236,2,"111b902a-b408-48f9-b933-5ead1b570e93"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Luke Winslow","hasEmail":"mailto:lwinslow@usgs.gov"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://dx.doi.org/10.5066/F7028PN4","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.5747345ae4b07e28b663d81e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5747345ae4b07e28b663d81e","keyword":["007","012","US","USGS:5747345ae4b07e28b663d81e","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.91, 42.48, -86.75, 47.54","theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Increasing Clarity"},"description":"It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale.\nThis data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July, SthermoD_mean_JAS, SthermoD_mean, lake_average_temp, peak_lake_average_temp, lake_average_temp_JAS, mean_epi_temp, mean_hypo_temp, mean_surf_temp, mean_bottom_temp, peak_surf_temp, peak_bottom_temp, mean_surf_temp_JAS, mean_bottom_temp_JAS, mean_bottom_temp_365, mean_surf_temp_365, mean_1m_temp, mean_surf_JA, GDD_wtr_5c, GDD_wtr_10c, volume_mean_m_3, simulation_length_days, mean_volumetric_temp, kd, out_val calculated for 2210 lakes.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e4f46541-3a85-42ab-99be-3522da487fc9","harvest_record_raw":"https://catalog.data.gov/harvest_record/e4f46541-3a85-42ab-99be-3522da487fc9/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5747345ae4b07e28b663d81e","keyword":["007","012","US","USGS:5747345ae4b07e28b663d81e","United States","WI","Wisconsin","climate change","environment","hydrodynamic model","inlandWaters","lakes","limnology","water clarity","water quality","water temperature"],"last_harvested_date":"2026-09-05T18:22:37.153512","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"wisconsin-lake-temperature-metrics-increasing-clarity","spatial_centroid":{"lat":44.504,"lon":-90.446},"spatial_shape":{"coordinates":[[[-92.91,42.48],[-92.91,47.54],[-86.75,47.54],[-86.75,42.48],[-92.91,42.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Wisconsin Lake Temperature Metrics Increasing Clarity","type":"dataset"},{"_score":10.533805,"_sort":[1788632173313,10.533805,0,"c3bc1f63-172b-4add-b1b3-82dd5a68553d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Climate Adaptation Science Centers","hasEmail":"mailto:casc-data@usgs.gov"},"description":"While climate change is rapidly warming lakes and reservoirs, warming rates can be highly variable among systems because lake characteristics can modulate atmospheric forcing. While it is known that water clarity changes can alter lake water temperatures, it is unknown if frequently observed water clarity trends are sufficient to meaningfully impact the thermal trajectories of diverse lake populations. Using process-based modeling and empirical observations, this study demonstrates that water clarity changes of about 1% per year amplifies or suppresses warming at rates comparable to climate-induced warming. These results demonstrate that trends in water clarity, which are occurring in many lakes, may be as important as rising air temperatures in determining how waterbodies respond to climate change.\nThese data support the following publication:  \nJordan S. Read, Luke A. Winslow, Gretchen J.A. Hansen, Jamon Van Den Hoek, Paul C. Hanson, Louise C. Bruce, 2014, Simulating 2368 temperate lakes reveals weak coherence in stratification phenology: Ecological Modeling, http://dx.doi.org/10.1016/j.ecolmodel.2014.07.029.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://dx.doi.org/10.5066/F7028PN4","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.5735f0f2e4b0dae0d5df6c67.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5735f0f2e4b0dae0d5df6c67","keyword":["USGS:5735f0f2e4b0dae0d5df6c67","climate change","environment","lakes","pre-SM502.8"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.8800, 42.4800, -86.8000, 47.0700","theme":["geospatial"],"title":"Climate warming of Wisconsin lakes can be either amplified or suppressed by trends in water clarity"},"description":"While climate change is rapidly warming lakes and reservoirs, warming rates can be highly variable among systems because lake characteristics can modulate atmospheric forcing. While it is known that water clarity changes can alter lake water temperatures, it is unknown if frequently observed water clarity trends are sufficient to meaningfully impact the thermal trajectories of diverse lake populations. Using process-based modeling and empirical observations, this study demonstrates that water clarity changes of about 1% per year amplifies or suppresses warming at rates comparable to climate-induced warming. These results demonstrate that trends in water clarity, which are occurring in many lakes, may be as important as rising air temperatures in determining how waterbodies respond to climate change.\nThese data support the following publication:  \nJordan S. Read, Luke A. Winslow, Gretchen J.A. Hansen, Jamon Van Den Hoek, Paul C. Hanson, Louise C. Bruce, 2014, Simulating 2368 temperate lakes reveals weak coherence in stratification phenology: Ecological Modeling, http://dx.doi.org/10.1016/j.ecolmodel.2014.07.029.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a53f98c2-98b9-431f-bb85-4e2967a9d414","harvest_record_raw":"https://catalog.data.gov/harvest_record/a53f98c2-98b9-431f-bb85-4e2967a9d414/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5735f0f2e4b0dae0d5df6c67","keyword":["USGS:5735f0f2e4b0dae0d5df6c67","climate change","environment","lakes","pre-SM502.8"],"last_harvested_date":"2026-09-05T18:16:13.313755","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"climate-warming-of-wisconsin-lakes-can-be-either-amplified-or-suppressed-by-trends-in-wate","spatial_centroid":{"lat":44.315999999999995,"lon":-90.44800000000001},"spatial_shape":{"coordinates":[[[-92.88,42.48],[-92.88,47.07],[-86.8,47.07],[-86.8,42.48],[-92.88,42.48]]],"type":"Polygon"},"theme":["geospatial"],"title":"Climate warming of Wisconsin lakes can be either amplified or suppressed by trends in water clarity","type":"dataset"},{"_score":9.030119,"_sort":[1788631796422,9.030119,0,"79aa5f01-cab1-4354-ae5d-003be68b71b6"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kimberley Davis","hasEmail":"mailto:Kimberley.davis@usda.gov"},"description":"This dataset includes spatial projections of the post-fire recruitment index for ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) using climate data from different time periods (1980-1989, 1990-1999, 2000-2009, 2010-2014) and a future climate scenario of a global mean increase in temperature of two degrees Celsius. The post-fire recruitment index varies from 0 to 1 and represents the proportion of the first five years following wildfire that had climate suitable for regeneration of the given species. We chose a five-year window because the majority (69%) of recruitment across all sites in the dataset used to build our recruitment models occurred within the first five post-fire years. In the projections, climate and time since fire varies by year but other predictors stay constant at fixed values. Distance to seed source was set at 50 m and fire severity, measured as the differenced normalized burn ratio (dNBR), was set at 400 for all projections. Because we hold distance to seed source and fire severity constant, the post-fire recruitment index is interpreted as the climate suitability for post-fire recruitment, under the given scenario. We recognize that post-fire recruitment is also influenced by other local factors that are unaccounted for in our models, including biotic interactions, such as herbivory and competition, and abiotic factors, such as substrate, topography and soil moisture.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/hzh5-6h93","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.633f1aebd34e342aee062eee.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_633f1aebd34e342aee062eee","keyword":["Pinus ponderosa","Pseudotsuga menziesii","USGS:633f1aebd34e342aee062eee","biota","environment","external research support","fires","geospatial datasets","modeling","post-fire regeneration","tree regeneration","wildfire"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-120.5420, 31.3161, -103.2715, 48.9514","theme":["geospatial"],"title":"Maps of post-fire conifer recruitment from: Fire-catalyzed vegetation shifts in ponderosa pine and Douglas-fir forests of the western United States"},"description":"This dataset includes spatial projections of the post-fire recruitment index for ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) using climate data from different time periods (1980-1989, 1990-1999, 2000-2009, 2010-2014) and a future climate scenario of a global mean increase in temperature of two degrees Celsius. The post-fire recruitment index varies from 0 to 1 and represents the proportion of the first five years following wildfire that had climate suitable for regeneration of the given species. We chose a five-year window because the majority (69%) of recruitment across all sites in the dataset used to build our recruitment models occurred within the first five post-fire years. In the projections, climate and time since fire varies by year but other predictors stay constant at fixed values. Distance to seed source was set at 50 m and fire severity, measured as the differenced normalized burn ratio (dNBR), was set at 400 for all projections. Because we hold distance to seed source and fire severity constant, the post-fire recruitment index is interpreted as the climate suitability for post-fire recruitment, under the given scenario. We recognize that post-fire recruitment is also influenced by other local factors that are unaccounted for in our models, including biotic interactions, such as herbivory and competition, and abiotic factors, such as substrate, topography and soil moisture.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ed2483da-0f1d-4043-a36a-05d43e4e6956","harvest_record_raw":"https://catalog.data.gov/harvest_record/ed2483da-0f1d-4043-a36a-05d43e4e6956/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_633f1aebd34e342aee062eee","keyword":["Pinus ponderosa","Pseudotsuga menziesii","USGS:633f1aebd34e342aee062eee","biota","environment","external research support","fires","geospatial datasets","modeling","post-fire regeneration","tree regeneration","wildfire"],"last_harvested_date":"2026-09-05T18:09:56.422487","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"maps-of-post-fire-conifer-recruitment-from-fire-catalyzed-vegetation-shifts-in-ponderosa-p","spatial_centroid":{"lat":38.37022,"lon":-113.6338},"spatial_shape":{"coordinates":[[[-120.542,31.3161],[-120.542,48.9514],[-103.2715,48.9514],[-103.2715,31.3161],[-120.542,31.3161]]],"type":"Polygon"},"theme":["geospatial"],"title":"Maps of post-fire conifer recruitment from: Fire-catalyzed vegetation shifts in ponderosa pine and Douglas-fir forests of the western United States","type":"dataset"},{"_score":12.942726,"_sort":[1788631663944,12.942726,1,"516e0bea-1f12-4a8f-8eaa-f80cd34baeb4"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Elizabeth Tomaszewski","hasEmail":"mailto:etomaszewski@usgs.gov"},"description":"This data set was collected throughout the Gallinas watershed in New, Mexico following the Hermit's Peak-Calf Canyon fires on April 6, 2022. The watershed has a history of mining and prospecting, which acts as an additional stressor to post-wildfire water quality and ecosystem health. Water samples were collected immediately post-fire. Water, sediment deposit and bed sediment samples were collected in October 2022 and April 2023, 6 months and 1-year post-fire. Samples were collected from Gallinas Creek and its tributaries. Geochemical analyses of water samples include major and trace metals via inductively coupled plasma optical emission spectroscopy and plasma mass spectrometry (ICP-MS), total organic carbon, and major anions (sulfate, nitrate). Sediment deposit samples were exposed to various extractions including water extractions, sequential extractions and aqua regia. The extractions were analyzed for major and trace metals via inductively coupled plasma optical emission spectroscopy (ICP-OES) and ICP-MS, total organic carbon, and major anions (sulfate, nitrate). Weight percentage of carbon and nitrogen in the sediment deposits were also analyzed. Bed sediments were digested with aqua regia and analyzed for metals via ICP-MS. The data collectively demonstrate the effects of wildfire in a disturbed environment on water quality and ecosystem health.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9IN3YOR","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.65566a7ed34ee4b6e05c4e71.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_65566a7ed34ee4b6e05c4e71","keyword":["USGS:65566a7ed34ee4b6e05c4e71","biota","geochemistry; wildfire;"],"modified":"2026-09-03T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-105.43070, 35.64853, -105.31800, 35.73154","theme":["geospatial"],"title":"Water and sediment geochemistry in the Gallinas Creek Watershed, New Mexico following the Hermits Peak-Calf Canyon fire 2022-2023"},"description":"This data set was collected throughout the Gallinas watershed in New, Mexico following the Hermit's Peak-Calf Canyon fires on April 6, 2022. The watershed has a history of mining and prospecting, which acts as an additional stressor to post-wildfire water quality and ecosystem health. Water samples were collected immediately post-fire. Water, sediment deposit and bed sediment samples were collected in October 2022 and April 2023, 6 months and 1-year post-fire. Samples were collected from Gallinas Creek and its tributaries. Geochemical analyses of water samples include major and trace metals via inductively coupled plasma optical emission spectroscopy and plasma mass spectrometry (ICP-MS), total organic carbon, and major anions (sulfate, nitrate). Sediment deposit samples were exposed to various extractions including water extractions, sequential extractions and aqua regia. The extractions were analyzed for major and trace metals via inductively coupled plasma optical emission spectroscopy (ICP-OES) and ICP-MS, total organic carbon, and major anions (sulfate, nitrate). Weight percentage of carbon and nitrogen in the sediment deposits were also analyzed. Bed sediments were digested with aqua regia and analyzed for metals via ICP-MS. The data collectively demonstrate the effects of wildfire in a disturbed environment on water quality and ecosystem health.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/bb90b418-2c51-416b-b53e-70f1747da34c","harvest_record_raw":"https://catalog.data.gov/harvest_record/bb90b418-2c51-416b-b53e-70f1747da34c/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_65566a7ed34ee4b6e05c4e71","keyword":["USGS:65566a7ed34ee4b6e05c4e71","biota","geochemistry; wildfire;"],"last_harvested_date":"2026-09-05T18:07:43.944807","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"water-and-sediment-geochemistry-in-the-gallinas-creek-watershed-new-mexico-follo-2022-2023","spatial_centroid":{"lat":35.681734,"lon":-105.38561999999999},"spatial_shape":{"coordinates":[[[-105.4307,35.64853],[-105.4307,35.73154],[-105.318,35.73154],[-105.318,35.64853],[-105.4307,35.64853]]],"type":"Polygon"},"theme":["geospatial"],"title":"Water and sediment geochemistry in the Gallinas Creek Watershed, New Mexico following the Hermits Peak-Calf Canyon fire 2022-2023","type":"dataset"},{"_score":8.74048,"_sort":[1788549279268,8.74048,1,"593a12b1-f5e6-4f2c-af88-235498fbd7c8"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Seth M. Munson","hasEmail":"mailto:smunson@usgs.gov"},"description":"This dataset includes the cover of three vegetation types: perennial grasses, creosote bush (Larrea tridentata), and leguminous trees (Prosopis velutina, Parkinsonia microphylla, Parkinsonia florida) in 1989, 1995, 1999, 2005, and 2009 across southern Arizona. Cover was determined using sub-pixel classifications of two Landsat scenes from path 36, row 38 (centered on latitude: 31.7470, longitude: -111.3981) and path 37, row 38 (31.7470, -112.9431) that encompass Tucson, AZ.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F7959FNF","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.d369daae-76ad-4e64-8dd2-fbc980696a1d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d369daae-76ad-4e64-8dd2-fbc980696a1d","keyword":["Sonoran Desert; southern Arizona","USGS:d369daae-76ad-4e64-8dd2-fbc980696a1d","aridity","biota","climate change","desert","environment","geospatial datasets","land degradation","remote sensing","shrub encroachment","southern Arizona"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-113.8600, 31.3375, -110.4700, 32.3930","theme":["geospatial"],"title":"Shifts in Perennial grass in southern Arizona, 1989 - 2009"},"description":"This dataset includes the cover of three vegetation types: perennial grasses, creosote bush (Larrea tridentata), and leguminous trees (Prosopis velutina, Parkinsonia microphylla, Parkinsonia florida) in 1989, 1995, 1999, 2005, and 2009 across southern Arizona. Cover was determined using sub-pixel classifications of two Landsat scenes from path 36, row 38 (centered on latitude: 31.7470, longitude: -111.3981) and path 37, row 38 (31.7470, -112.9431) that encompass Tucson, AZ.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1c2a3672-6875-4f4d-9bff-7743215057e4","harvest_record_raw":"https://catalog.data.gov/harvest_record/1c2a3672-6875-4f4d-9bff-7743215057e4/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_d369daae-76ad-4e64-8dd2-fbc980696a1d","keyword":["Sonoran Desert; southern Arizona","USGS:d369daae-76ad-4e64-8dd2-fbc980696a1d","aridity","biota","climate change","desert","environment","geospatial datasets","land degradation","remote sensing","shrub encroachment","southern Arizona"],"last_harvested_date":"2026-09-04T19:14:39.268728","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":1,"publisher":"U.S. Geological Survey","slug":"shifts-in-perennial-grass-in-southern-arizona-1989-2009","spatial_centroid":{"lat":31.7597,"lon":-112.50399999999999},"spatial_shape":{"coordinates":[[[-113.86,31.3375],[-113.86,32.393],[-110.47,32.393],[-110.47,31.3375],[-113.86,31.3375]]],"type":"Polygon"},"theme":["geospatial"],"title":"Shifts in Perennial grass in southern Arizona, 1989 - 2009","type":"dataset"},{"_score":9.232885,"_sort":[1788549207447,9.232885,0,"042584aa-2b32-4040-9e57-f8f6d294728d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Alexandra Lutz","hasEmail":"mailto:alexandra.lutz@dri.edu"},"description":"This collection contains GSFLOW and R-RHESSys model input and output files. CSC_model_files contains the baseline Cleve Creek model, T-only change model, and T-P change model. Model_results.rar is from R-RHESSYS model of climate projections of drought during the next 30 years (2016-2035) for the Cleve Creek watershed in Nevada.  Within the .rar packaging are .dat files that contain outputs including net primary productivity (NPP), leaf area index (LAI), actual evapotranspiration (AET), soil\nmoisture, groundwater level, streamflow, snow pack (as snow water equivalent, SWE). \nGeographic information:  Site is Cleve Creek, a headwaters basin to Spring Valley in\nEastern Nevada. Lower left corner of model grid is 701984 m (east) and 4342483 m\n(north) NAD 83 zone 11.  The grid is oriented North-South and extends 143 rows and\n115 columns with each cell 100 m by 100 m.  NAD83, zone 11N, datumD_North_American1983.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14HLZC4","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.56feafa1e4b0328dcb7dec33.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_56feafa1e4b0328dcb7dec33","keyword":["Cleve Creek","Great Basin","Nevada","Spring Valley","USGS:56feafa1e4b0328dcb7dec33","climate change","environment","hydrologic response","modeling","pre-SM502.8","vegetation response"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-114.6607, 39.2054, -114.5276, 39.3369","theme":["geospatial"],"title":"Linking climate, hydrology and ecological changes at intermediate timescales in Cleve Creek, Eastern Nevada"},"description":"This collection contains GSFLOW and R-RHESSys model input and output files. CSC_model_files contains the baseline Cleve Creek model, T-only change model, and T-P change model. Model_results.rar is from R-RHESSYS model of climate projections of drought during the next 30 years (2016-2035) for the Cleve Creek watershed in Nevada.  Within the .rar packaging are .dat files that contain outputs including net primary productivity (NPP), leaf area index (LAI), actual evapotranspiration (AET), soil\nmoisture, groundwater level, streamflow, snow pack (as snow water equivalent, SWE). \nGeographic information:  Site is Cleve Creek, a headwaters basin to Spring Valley in\nEastern Nevada. Lower left corner of model grid is 701984 m (east) and 4342483 m\n(north) NAD 83 zone 11.  The grid is oriented North-South and extends 143 rows and\n115 columns with each cell 100 m by 100 m.  NAD83, zone 11N, datumD_North_American1983.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ac06a926-51cd-4387-8007-412d10516645","harvest_record_raw":"https://catalog.data.gov/harvest_record/ac06a926-51cd-4387-8007-412d10516645/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_56feafa1e4b0328dcb7dec33","keyword":["Cleve Creek","Great Basin","Nevada","Spring Valley","USGS:56feafa1e4b0328dcb7dec33","climate change","environment","hydrologic response","modeling","pre-SM502.8","vegetation response"],"last_harvested_date":"2026-09-04T19:13:27.447811","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"linking-climate-hydrology-and-ecological-changes-at-intermediate-timescales-in-cleve-creek","spatial_centroid":{"lat":39.257999999999996,"lon":-114.60746000000002},"spatial_shape":{"coordinates":[[[-114.6607,39.2054],[-114.6607,39.3369],[-114.5276,39.3369],[-114.5276,39.2054],[-114.6607,39.2054]]],"type":"Polygon"},"theme":["geospatial"],"title":"Linking climate, hydrology and ecological changes at intermediate timescales in Cleve Creek, Eastern Nevada","type":"dataset"},{"_score":9.75227,"_sort":[1788549187748,9.75227,7,"660a3934-2fd0-455f-923d-6abaf1b5ab2d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Adam J Terando","hasEmail":"mailto:aterando@usgs.gov"},"description":"We compiled and analyzed a database of burn permits for prescribed fires conducted in Florida and Georgia from 2006-2016. The dataset contains the number of permitted burns and expected acres burned by county in the two states for every day in the 11 year period. Also included are the county-wide average daily weather conditions for temperature and relative humidity, calculated from the University of Idaho gridMet dataset.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9YNSQZ2","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.5cfc103fe4b0312686a7f64b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5cfc103fe4b0312686a7f64b","keyword":["Florida","Georgia","USGS:5cfc103fe4b0312686a7f64b","autumn","controlled fires","environment","fires","prescribed fire","seasons","spring","summer","winter"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-87.6929, 25.0454, -79.8267, 35.0296","theme":["geospatial"],"title":"Prescribed Fire Permit Records for Georgia and Florida"},"description":"We compiled and analyzed a database of burn permits for prescribed fires conducted in Florida and Georgia from 2006-2016. The dataset contains the number of permitted burns and expected acres burned by county in the two states for every day in the 11 year period. Also included are the county-wide average daily weather conditions for temperature and relative humidity, calculated from the University of Idaho gridMet dataset.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9b61426c-17c9-45db-9eff-3f5806b76880","harvest_record_raw":"https://catalog.data.gov/harvest_record/9b61426c-17c9-45db-9eff-3f5806b76880/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_5cfc103fe4b0312686a7f64b","keyword":["Florida","Georgia","USGS:5cfc103fe4b0312686a7f64b","autumn","controlled fires","environment","fires","prescribed fire","seasons","spring","summer","winter"],"last_harvested_date":"2026-09-04T19:13:07.748212","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":7,"publisher":"U.S. Geological Survey","slug":"prescribed-fire-permit-records-for-georgia-and-florida","spatial_centroid":{"lat":29.039080000000002,"lon":-84.54642},"spatial_shape":{"coordinates":[[[-87.6929,25.0454],[-87.6929,35.0296],[-79.8267,35.0296],[-79.8267,25.0454],[-87.6929,25.0454]]],"type":"Polygon"},"theme":["geospatial"],"title":"Prescribed Fire Permit Records for Georgia and Florida","type":"dataset"},{"_score":6.7368813,"_sort":[1788549090676,6.7368813,0,"fabcb2e8-d955-434a-b866-c01c4ed89df4"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Climate Adaptation Science Centers","hasEmail":"mailto:casc-data@usgs.gov"},"description":"Snow and meteorological observations were collected over a range of water years (WY) by three research institutions and by citizen scientists to characterize forest effects on snow processes across the Pacific Northwest, USA. Fourteen total study sites cover the western slopes and crest of the Cascade Range in WA and OR, and central and northern ID. Each study location includes one or more paired forest and open area in which to compare snow observations. A range of forest canopy densities and data collection strategies are represented, including paired manual snow courses, snow pits, automated sensors, and time-lapse images of snow measurement poles. Analysis and synthesis of all of these sites are presented in the data citation. Location attributes are provided as metadata for each site.","distribution":[{"@type":"dcat:Distribution","accessURL":"http://doi.org/10.5066/F70C4SW3","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.cc7bb369-0031-4f6f-976f-6c2907030070.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_cc7bb369-0031-4f6f-976f-6c2907030070","keyword":["Cle Elum","Idaho","Kittatas County","McCall","McKenzie River","Mica Creek","Middle Fork Willamette","Olallie Meadows","Oregon","Ponderosa State Park","USGS:cc7bb369-0031-4f6f-976f-6c2907030070","Valley County","Washington","citizen science","environment","external research support","field inventory and monitoring","forest canopy density","meteorological observations","precipitation (atmospheric)","snow and ice cover","snow depth","snow observations","time-lapse photography"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-122.3297, 43.6122, -115.5512, 47.5098","theme":["geospatial"],"title":"Observations of snow depth and meteorological variables in forests and nearby open areas at field sites in Washington, Oregon, and Idaho, USA"},"description":"Snow and meteorological observations were collected over a range of water years (WY) by three research institutions and by citizen scientists to characterize forest effects on snow processes across the Pacific Northwest, USA. Fourteen total study sites cover the western slopes and crest of the Cascade Range in WA and OR, and central and northern ID. Each study location includes one or more paired forest and open area in which to compare snow observations. A range of forest canopy densities and data collection strategies are represented, including paired manual snow courses, snow pits, automated sensors, and time-lapse images of snow measurement poles. Analysis and synthesis of all of these sites are presented in the data citation. Location attributes are provided as metadata for each site.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c06f894f-3fce-4662-bfa1-1efa486ebbab","harvest_record_raw":"https://catalog.data.gov/harvest_record/c06f894f-3fce-4662-bfa1-1efa486ebbab/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_cc7bb369-0031-4f6f-976f-6c2907030070","keyword":["Cle Elum","Idaho","Kittatas County","McCall","McKenzie River","Mica Creek","Middle Fork Willamette","Olallie Meadows","Oregon","Ponderosa State Park","USGS:cc7bb369-0031-4f6f-976f-6c2907030070","Valley County","Washington","citizen science","environment","external research support","field inventory and monitoring","forest canopy density","meteorological observations","precipitation (atmospheric)","snow and ice cover","snow depth","snow observations","time-lapse photography"],"last_harvested_date":"2026-09-04T19:11:30.676685","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"observations-of-snow-depth-and-meteorological-variables-in-forests-and-nearby-open-areas-a","spatial_centroid":{"lat":45.17124,"lon":-119.6183},"spatial_shape":{"coordinates":[[[-122.3297,43.6122],[-122.3297,47.5098],[-115.5512,47.5098],[-115.5512,43.6122],[-122.3297,43.6122]]],"type":"Polygon"},"theme":["geospatial"],"title":"Observations of snow depth and meteorological variables in forests and nearby open areas at field sites in Washington, Oregon, and Idaho, USA","type":"dataset"},{"_score":8.851894,"_sort":[1788548962618,8.851894,2,"33810f91-e44a-4b95-a564-9fb888bc7e24"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Anteneh A. Sarbanes","hasEmail":"mailto:asarbanes@usgs.gov"},"description":"Dynamic Surface Water Extent (DSWE) Annual Proportions data summarize occurrence of water on the land surface. DSWE Annual Proportions data are statistical summaries of the USGS Landsat Collection 2 Level-3 DSWE data product (C2-DSWE), \na raster dataset of per-pixel surface water inundation status based on the analysis of Landsat 4-9 satellite imagery. DSWE Annual Proportions data average occurrence of surface water extent over yearly time periods across the conterminous US in \nthe form of GeoTIFF rasters with 30m spatial resolution. DSWE Annual Proportions raster pixel values represent the portion of cloud, cloud shadow, and snow free Landsat observations that are classified as surface water inundation in C2-DSWE \nInterpreted with all Mask ('INWAM') layer. Each DSWE Annual Proportions GeoTIFF contains 5 raster bands: 3 corresponding to DSWE surface water classes (i.e., open, partial, and non-water); 1 representing total surface water (partial and open values combined); \nand 1 providing a per pixel count of valid DSWE input values. DSWE Annual Proportions data are processed and archived to the continental US Analysis Ready Data (ARD) tile scheme: https://landsat.usgs.gov/ard_tile.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P16Q2FUD","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.66da33ced34eef5af66d5548.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_66da33ced34eef5af66d5548","keyword":["CONUS","Conterminous United States","DSWE","DSWE Proportions","Drought","Flooding","Hydrology","Inundation","Lakes","Rivers","Surface water","USGS:66da33ced34eef5af66d5548","Water Resources","Wetlands","climatologyMeteorologyAtmosphere","environment","inlandWaters"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-124.7330, 24.5150, -66.9500, 49.3840","theme":["geospatial"],"title":"Collection 2 Dynamic Surface Water Extent (DSWE) Proportions: CONUS Annual Proportions 1984-Present (ver. 2.0, August 2026)"},"description":"Dynamic Surface Water Extent (DSWE) Annual Proportions data summarize occurrence of water on the land surface. DSWE Annual Proportions data are statistical summaries of the USGS Landsat Collection 2 Level-3 DSWE data product (C2-DSWE), \na raster dataset of per-pixel surface water inundation status based on the analysis of Landsat 4-9 satellite imagery. DSWE Annual Proportions data average occurrence of surface water extent over yearly time periods across the conterminous US in \nthe form of GeoTIFF rasters with 30m spatial resolution. DSWE Annual Proportions raster pixel values represent the portion of cloud, cloud shadow, and snow free Landsat observations that are classified as surface water inundation in C2-DSWE \nInterpreted with all Mask ('INWAM') layer. Each DSWE Annual Proportions GeoTIFF contains 5 raster bands: 3 corresponding to DSWE surface water classes (i.e., open, partial, and non-water); 1 representing total surface water (partial and open values combined); \nand 1 providing a per pixel count of valid DSWE input values. DSWE Annual Proportions data are processed and archived to the continental US Analysis Ready Data (ARD) tile scheme: https://landsat.usgs.gov/ard_tile.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/576422b4-7a36-451a-8f59-07a82982a651","harvest_record_raw":"https://catalog.data.gov/harvest_record/576422b4-7a36-451a-8f59-07a82982a651/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_66da33ced34eef5af66d5548","keyword":["CONUS","Conterminous United States","DSWE","DSWE Proportions","Drought","Flooding","Hydrology","Inundation","Lakes","Rivers","Surface water","USGS:66da33ced34eef5af66d5548","Water Resources","Wetlands","climatologyMeteorologyAtmosphere","environment","inlandWaters"],"last_harvested_date":"2026-09-04T19:09:22.618234","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"collection-2-dynamic-surface-water-extent-dswe-proportions-conus-annual-proportions-1984-p","spatial_centroid":{"lat":34.462599999999995,"lon":-101.61980000000001},"spatial_shape":{"coordinates":[[[-124.733,24.515],[-124.733,49.384],[-66.95,49.384],[-66.95,24.515],[-124.733,24.515]]],"type":"Polygon"},"theme":["geospatial"],"title":"Collection 2 Dynamic Surface Water Extent (DSWE) Proportions: CONUS Annual Proportions 1984-Present (ver. 2.0, August 2026)","type":"dataset"},{"_score":10.658136,"_sort":[1788548960037,10.658136,0,"4695e730-ca8c-4cde-9624-cf436b4c0d41"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Brandon J Sansom","hasEmail":"mailto:bsansom@usgs.gov"},"description":"This dataset contains the time- and space-averaged velocity data collected to characterize the hydraulics of the paddlewheel propulsion system of the U.S. Geological Survey (USGS), Columbia Environmental Research Center (CERC) eco-flume, a continuous loop, racetrack style flume. Four cross sections were established at 1, 2, 3, and 4 meters downstream from the paddlewheel footprint in each straight section of the eco-flume. At each cross section, three-component water velocity was measured using an Acoustic Doppler Velocimeter at a total of 80 point-locations in the cross section (8 locations in the transverse direction and 10 locations in the vertical direction). Velocity measurements were made at each point for a total of 120 seconds. Velocity measurements were time- and space-averaged using user-defined codes to examine the characteristic hydraulic properties at each cross section. Enclosed data files include: 1) Time_Space_Average_ADVdata.csv that describes the time- and space-averaged (spatially averaged across the transverse direction) ADV data at measurement each cross section,  2) EastChannel_0.1TV_4m_Contour.csv that describes an example of time-averaged ADV data within a single cross section in the east channel of the eco-flume at a target mean velocity of 0.1 meters per second, and 3) FlowSimilarity.csv that describes the flow similarity and uniformity of the paddlewheel propulsion system.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14HCGDQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a970ae11ba49b45440e9d1d.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a970ae11ba49b45440e9d1d","keyword":["USGS:6a970ae11ba49b45440e9d1d","environment","hydraulic engineering","water resources"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.284312, 38.910784, -92.274450, 38.912612","theme":["geospatial"],"title":"Hydraulic characterization of the paddlewheel propulsion system of the U.S. Geological Survey, Columbia Environmental Research Center eco-flume"},"description":"This dataset contains the time- and space-averaged velocity data collected to characterize the hydraulics of the paddlewheel propulsion system of the U.S. Geological Survey (USGS), Columbia Environmental Research Center (CERC) eco-flume, a continuous loop, racetrack style flume. Four cross sections were established at 1, 2, 3, and 4 meters downstream from the paddlewheel footprint in each straight section of the eco-flume. At each cross section, three-component water velocity was measured using an Acoustic Doppler Velocimeter at a total of 80 point-locations in the cross section (8 locations in the transverse direction and 10 locations in the vertical direction). Velocity measurements were made at each point for a total of 120 seconds. Velocity measurements were time- and space-averaged using user-defined codes to examine the characteristic hydraulic properties at each cross section. Enclosed data files include: 1) Time_Space_Average_ADVdata.csv that describes the time- and space-averaged (spatially averaged across the transverse direction) ADV data at measurement each cross section,  2) EastChannel_0.1TV_4m_Contour.csv that describes an example of time-averaged ADV data within a single cross section in the east channel of the eco-flume at a target mean velocity of 0.1 meters per second, and 3) FlowSimilarity.csv that describes the flow similarity and uniformity of the paddlewheel propulsion system.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4c679769-7763-490f-9504-783d6b887977","harvest_record_raw":"https://catalog.data.gov/harvest_record/4c679769-7763-490f-9504-783d6b887977/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a970ae11ba49b45440e9d1d","keyword":["USGS:6a970ae11ba49b45440e9d1d","environment","hydraulic engineering","water resources"],"last_harvested_date":"2026-09-04T19:09:20.037077","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"hydraulic-characterization-of-the-paddlewheel-propulsion-system-of-the-u-s-geological-surv","spatial_centroid":{"lat":38.911515200000004,"lon":-92.2803672},"spatial_shape":{"coordinates":[[[-92.284312,38.910784],[-92.284312,38.912612],[-92.27445,38.912612],[-92.27445,38.910784],[-92.284312,38.910784]]],"type":"Polygon"},"theme":["geospatial"],"title":"Hydraulic characterization of the paddlewheel propulsion system of the U.S. Geological Survey, Columbia Environmental Research Center eco-flume","type":"dataset"},{"_score":10.531107,"_sort":[1788548671946,10.531107,0,"7ddb4d13-53ff-46a9-a542-59d0f89e861d"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Brandon J Sansom","hasEmail":"mailto:bsansom@usgs.gov"},"description":"This project contains design parameters and an overview of the hydraulic characterization of the U.S. Geological Survey (USGS), Columbia Environmental Research Center (CERC) eco-flume. The eco-flume was designed in collaboration with the St. Anthony Falls Laboratory at the University of Minnesota to explore complex ecological phenomena that occur in natural rivers. The overall design was intended to provide experimental flexibility to include a wide range of hydraulic and water-quality variables to support investigation of a variety of transport and ecological phenomena in flowing environments. Datasets provided here describe the hydraulic characterization throughout the eco-flume of both the paddlewheel and jet pump propulsion systems. These data only represent baseline conditions for the eco-flume. Specific hydraulics will vary with experimental setup and needs, and therefore should be detailed accordingly across future studies.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14HCGDQ","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a9702fe1ba49b45440e9bbb.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a9702fe1ba49b45440e9bbb","keyword":["USGS:6a9702fe1ba49b45440e9bbb","aquatic biology","biota","environment","hydrology","water resources"],"modified":"2026-09-02T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-92.284312, 38.910784, -92.274450, 38.912612","theme":["geospatial"],"title":"Supporting files to describe the design and parameterization of the U.S. Geological Survey, Columbia Environmental Research Center eco-flume"},"description":"This project contains design parameters and an overview of the hydraulic characterization of the U.S. Geological Survey (USGS), Columbia Environmental Research Center (CERC) eco-flume. The eco-flume was designed in collaboration with the St. Anthony Falls Laboratory at the University of Minnesota to explore complex ecological phenomena that occur in natural rivers. The overall design was intended to provide experimental flexibility to include a wide range of hydraulic and water-quality variables to support investigation of a variety of transport and ecological phenomena in flowing environments. Datasets provided here describe the hydraulic characterization throughout the eco-flume of both the paddlewheel and jet pump propulsion systems. These data only represent baseline conditions for the eco-flume. Specific hydraulics will vary with experimental setup and needs, and therefore should be detailed accordingly across future studies.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e91141e7-3ed4-44e7-9a9c-63fe73a9c102","harvest_record_raw":"https://catalog.data.gov/harvest_record/e91141e7-3ed4-44e7-9a9c-63fe73a9c102/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a9702fe1ba49b45440e9bbb","keyword":["USGS:6a9702fe1ba49b45440e9bbb","aquatic biology","biota","environment","hydrology","water resources"],"last_harvested_date":"2026-09-04T19:04:31.946812","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":0,"publisher":"U.S. Geological Survey","slug":"supporting-files-to-describe-the-design-and-parameterization-of-the-u-s-geological-survey-","spatial_centroid":{"lat":38.911515200000004,"lon":-92.2803672},"spatial_shape":{"coordinates":[[[-92.284312,38.910784],[-92.284312,38.912612],[-92.27445,38.912612],[-92.27445,38.910784],[-92.284312,38.910784]]],"type":"Polygon"},"theme":["geospatial"],"title":"Supporting files to describe the design and parameterization of the U.S. Geological Survey, Columbia Environmental Research Center eco-flume","type":"dataset"}],"sort":"last_harvested_date"}