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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.  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The water surface elevations therein can be used to describe historical environmental conditions, contextualize contemporary conditions, project future conditions, conduct scientific research on aquatic and floodplain organisms and processes, assess existing and future without-project conditions as required for Upper Mississippi River Restoration Program restoration project, and many other applications. 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Final models and simulation results were not provided because they result in large file sizes of about 50 Gb in total.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9O954ZN","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.668d715ed34eb8d205624b2a.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_668d715ed34eb8d205624b2a","keyword":["Buhl","Gooding","Idaho","Land","Middle Snake","North America","Snake River","Twin Falls","USGS:668d715ed34eb8d205624b2a","United States","acoustic doppler current profiling","aerial photography","aquatic biology","aquatic vegetation","bathymetry","biota","ecology","elevation","environment","geoscientificInformation","geospatial analysis","habitat suitability indices","inlandWaters","lidar","location","mathematical modeling","modeling","nuisance species","stream discharge","stream-gage measurement","streamflow","weeds"],"modified":"2026-08-18T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-114.670959, 42.654635, -114.633665, 42.663409","theme":["geospatial"],"title":"Two-dimensional hydraulic model archive: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho"},"description":"This is a child item (component) of the larger data release titled \u201cSupporting data: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho\u201d. 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Final models and simulation results were not provided because they result in large file sizes of about 50 Gb in total.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/17760dec-9529-4f92-b6c6-6b104ce915df","harvest_record_raw":"https://catalog.data.gov/harvest_record/17760dec-9529-4f92-b6c6-6b104ce915df/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_668d715ed34eb8d205624b2a","keyword":["Buhl","Gooding","Idaho","Land","Middle Snake","North America","Snake River","Twin Falls","USGS:668d715ed34eb8d205624b2a","United States","acoustic doppler current profiling","aerial photography","aquatic biology","aquatic vegetation","bathymetry","biota","ecology","elevation","environment","geoscientificInformation","geospatial analysis","habitat suitability indices","inlandWaters","lidar","location","mathematical modeling","modeling","nuisance species","stream discharge","stream-gage measurement","streamflow","weeds"],"last_harvested_date":"2026-08-21T00:56:27.938940","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"two-dimensional-hydraulic-model-archive-water-quality-hydraulics-and-aquatic-plant-growth-","spatial_centroid":{"lat":42.6581446,"lon":-114.6560414},"spatial_shape":{"coordinates":[[[-114.670959,42.654635],[-114.670959,42.663409],[-114.633665,42.663409],[-114.633665,42.654635],[-114.670959,42.654635]]],"type":"Polygon"},"theme":["geospatial"],"title":"Two-dimensional hydraulic model archive: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho","type":"dataset"},{"_score":7.721635,"_sort":[1787272599364,7.721635,0,"9d8ca7f8-ff75-4679-bcf5-b3afac04718c"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Taylor J. 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The present child item \u201cUAS Imagery\u201d contains aerial imagery obtained with uncrewed aircraft systems (UAS) flown over the study reach to document the spatial extent of aquatic vegetation.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9O954ZN","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.6413a287d34eb496d1ce8b5e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6413a287d34eb496d1ce8b5e","keyword":["Cedar Draw","Crystal Springs","GPS measurement","Gooding","Idaho","Snake River","USA","USGS:6413a287d34eb496d1ce8b5e","acoustic doppler current profiling","aerial photography","biota","ecosystem monitoring","elevation","environment","field sampling","freshwater ecosystems","image analysis","location","nutrient content (water)","plants (organisms)","transect sampling"],"modified":"2026-08-18T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-114.67147, 42.65463, -114.63514, 42.66500","theme":["geospatial"],"title":"UAS Imagery: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho"},"description":"This is a child item (component) of the larger data release titled \u201cSupporting data: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho\u201d. 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It includes drifting macrophyte accumulations; phosphorus and nitrogen data not collected by the USGS; nutrient growth assays; sediment nutrient data; and light extinction data.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P9O954ZN","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.66f33448d34e791ae5df5b70.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_66f33448d34e791ae5df5b70","keyword":["Cedar Draw","Crystal Springs","GPS measurement","Gooding","Idaho","Snake River","USA","USGS:66f33448d34e791ae5df5b70","acoustic doppler current profiling","biota","ecosystem monitoring","elevation","environment","field sampling","freshwater ecosystems","inlandWaters","location","nutrient content (water)","plants (organisms)","transect sampling"],"modified":"2026-08-18T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-114.8974, 42.6516, -110.6673, 44.1021","theme":["geospatial"],"title":"Other data: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho"},"description":"This is a child item (component) of the larger data release titled \u201cSupporting data: Water quality, hydraulics, and aquatic plant growth in the middle Snake River, southern Idaho\u201d. 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Data loggers were deployed June through September of 2016 and downloaded each subsequent summer through 2021. The SE_OR_Stream_Temps and SE_OR_Air_Temps files contain temperature data (in C\u00b0) by logger serial number and site for the study period. The SE_OR_Wet_Dry delineation file contains daily flow status estimates derived from stream temperature data for each site. The SE_OR_Site_Visit_Stream and SE_OR_Site_Visit_Air files contain the date and time of the site visit along with associated information on site flow conditions, water depths, logger conditions, and stream logger water depths. 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Together, these products support improved understanding of lake dynamics, ecosystem management, and hydrogeomorphic change across terminal lake systems of the western United States.\nThis section of the data release includes zipped shapefiles containing spatial metadata information that detail source datasets used to create the topobathymetry of selected lakes in closed basins of the Great Basin States. The attributes for each polygon shapefile describe the characteristics of all source datasets used to generate the topobathymetric dataset.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4d9d021d-2a49-42a2-ba26-43c181706cd4","harvest_record_raw":"https://catalog.data.gov/harvest_record/4d9d021d-2a49-42a2-ba26-43c181706cd4/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a15bbc7b66b012f9f081d89","keyword":["3D Elevation Program","3DEP","Acoustic Sonar","Antelope Island State Park","Ash Meadows National Wildlife Refuge","Bear River Migratory Bird Refuge","Box Elder County","Burns Paiute Indian Colony","California","Carson Lake","Carson Lake Pasture","Carson Sink","Churchill County","DEM","David County","Eagle Lake","Fallon National Wildlife Refuge","Fallon Paiute-Shoshone Reservation","Fish Springs National Wildlife Refuge","Flood Inundation Modeling","Franklin Lake","Fremont\u2013Winema National Forest","Goose Lake","Harney County","Harney Lake","Honey Lake","Honey Lake Wildlife Area","Idaho","Inland Bathymetry","Inyo National Forest","Lake Abert","Lake County","Lassen County","Lassen National Forest","Light Detection and Ranging","Lower Chewaucan Marsh","Malheur Lake","Malheur National Wildlife Refuge","Millard County","Mineral County","Modoc National Forest","Mono County","Mono Lake","Mono Lake Tufa State Natural Reserve","Mud Lake","Nevada","Oregon","Pershing County","Pyramid Lake","Pyramid Lake Paiute Reservation","Reservoir Storage Capacity","Ruby Lake","Ruby Lake National Wildlife Refuge","SLEIWAAs","Saline Lakes Ecosystems Integrated Water Availability Assessment","Salt Lake County","Sevier Lake","Silver Lake","Stillwater National Wildlife Refuge","Summer Lake","Summer Lake Wildlife Area","Susanville Indian Rancheria","TBDEM","Tooele County","U.S. Geological Survey","USGS","USGS:6a15bbc7b66b012f9f081d89","Upper Chewaucan Marsh","Utah","Utah Water Science Center","Walker Lake","Walker River Reservation","Washoe County","Weber County","Winnemucca Lake","Wyoming","XL Ranch Rancheria","aquatic ecosystems","bathymetry","benthic ecosystems","biota","birds","climatologyMeteorologyAtmosphere","digital elevation models","dissolved solids","earth sciences","economy","ecosystem management","ecosystem monitoring","elevation","environment","environmental assessment","geography","geomorphology","geoscientificInformation","geospatial analysis","geospatial datasets","habitat distribution","hydrology","inlandWaters","lake elevation","lidar","limnology","natural resource assessment","salinity","salt budget","salt cycling","shorebird habitat","society","storage capacity","surface area","surface-water level","topobathymetric digital elevation model","topobathymetry","topography","volume","water budget","water depth","water quality","water resource management","water surface elevation","water use","watershed management","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:48:13.485733","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"spatial-metadata-in-topobathymetric-elevation-models-and-elevation-area-volume-relationshi","spatial_centroid":{"lat":39.148219999999995,"lon":-117.33627999999999},"spatial_shape":{"coordinates":[[[-120.966,36.2283],[-120.966,43.5281],[-111.8917,43.5281],[-111.8917,36.2283],[-120.966,36.2283]]],"type":"Polygon"},"theme":["geospatial"],"title":"Spatial Metadata, in Topobathymetric Elevation Models and Elevation-Area-Volume Relationships for Selected Lakes in Closed Basins of the Great Basin States","type":"dataset"},{"_score":6.882534,"_sort":[1787186382075,6.882534,0,"954c6e47-a280-4b9c-8818-314c467c197b"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Marc Pons","hasEmail":"mailto:info@ceg.group"},"description":"This single-band float32 GeoTIFF raster represents a spatially smoothed vulnerability\nindex for sagebrush (Artemisia spp.) ecosystems at the northern extent of the sagebrush\nbiome, spanning the US\u2013Canada border region from north-central Montana into\nsoutheastern Alberta and southwestern Saskatchewan, with smaller portions of Wyoming,\nNorth Dakota, and South Dakota (approximately 46.0\u00b0N to 51.1\u00b0N latitude, 102.0\u00b0W to\n113.3\u00b0W longitude). The area falls primarily within the Northwestern Glaciated Plains\nand Northwestern Great Plains ecoregions (EPA Level III / CEC ecoregion classification),\nwith its western edge reaching the Rocky Mountain Front and Canadian Rockies foothills.\nThis region is the northernmost range of the Greater Sage-Grouse (Centrocercus\nurophasianus), centered on the Milk River and Frenchman River basins, and is sometimes\nreferred to informally as the greater northern sagebrush biome. Vulnerability values\nare continuous and range from 1 (lowest vulnerability) to 8 (highest vulnerability),\nreflecting a composite assessment of exposure, sensitivity, and adaptive capacity of\nsagebrush ecosystems to stressors including climate change, invasive species (e.g.,\ncheatgrass, Bromus tectorum), wildfire, and land conversion. A focal mean filter with\na window size of 10 pixels was applied to the source vulnerability raster. At the\nnative 100 m (nominal, projected-CRS) cell resolution, this window corresponds to a\nnominal 1,000 m ground footprint \u2014 see Positional Accuracy below for a caveat on true\nground distance under this projection. This smoothing reduces local pixel-level noise\nand emphasizes landscape-scale vulnerability patterns. The raster is projected in\nWGS 84 / Pseudo-Mercator (EPSG:3857) \u2014 selected for compatibility with ArcGIS Online\npublishing \u2014 with a datum of WGS84 (not NAD83). Cells with no data are assigned IEEE 754\nNaN (float32).","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P14KPFAL","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.6a3ece3e1ba49b7c2e2634db.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a3ece3e1ba49b7c2e2634db","keyword":["Alberta","Artemisia","EPSG:3857","GeoTIFF","Greater Sage-Grouse","Montana","North Dakota","Northern Great Plains","Northern Rocky Mountains","Northwestern Glaciated Plains","Northwestern Great Plains","Saskatchewan","South Dakota","USGS:6a3ece3e1ba49b7c2e2634db","WGS84","Wyoming","biota","cheatgrass","climate change","conservation planning","environment","focal mean smoothing","geoscientificInformation","invasive species","raster","sagebrush","sagebrush steppe","shrubland","vulnerability index","wildfire"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-113.3097, 45.9977, -101.9756, 51.1180","theme":["geospatial"],"title":"Greater Northern Sagebrush Vulnerability Map"},"description":"This single-band float32 GeoTIFF raster represents a spatially smoothed vulnerability\nindex for sagebrush (Artemisia spp.) ecosystems at the northern extent of the sagebrush\nbiome, spanning the US\u2013Canada border region from north-central Montana into\nsoutheastern Alberta and southwestern Saskatchewan, with smaller portions of Wyoming,\nNorth Dakota, and South Dakota (approximately 46.0\u00b0N to 51.1\u00b0N latitude, 102.0\u00b0W to\n113.3\u00b0W longitude). The area falls primarily within the Northwestern Glaciated Plains\nand Northwestern Great Plains ecoregions (EPA Level III / CEC ecoregion classification),\nwith its western edge reaching the Rocky Mountain Front and Canadian Rockies foothills.\nThis region is the northernmost range of the Greater Sage-Grouse (Centrocercus\nurophasianus), centered on the Milk River and Frenchman River basins, and is sometimes\nreferred to informally as the greater northern sagebrush biome. Vulnerability values\nare continuous and range from 1 (lowest vulnerability) to 8 (highest vulnerability),\nreflecting a composite assessment of exposure, sensitivity, and adaptive capacity of\nsagebrush ecosystems to stressors including climate change, invasive species (e.g.,\ncheatgrass, Bromus tectorum), wildfire, and land conversion. A focal mean filter with\na window size of 10 pixels was applied to the source vulnerability raster. At the\nnative 100 m (nominal, projected-CRS) cell resolution, this window corresponds to a\nnominal 1,000 m ground footprint \u2014 see Positional Accuracy below for a caveat on true\nground distance under this projection. This smoothing reduces local pixel-level noise\nand emphasizes landscape-scale vulnerability patterns. The raster is projected in\nWGS 84 / Pseudo-Mercator (EPSG:3857) \u2014 selected for compatibility with ArcGIS Online\npublishing \u2014 with a datum of WGS84 (not NAD83). Cells with no data are assigned IEEE 754\nNaN (float32).","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/860d182f-b7a2-4d91-9094-ed84f52e0c83","harvest_record_raw":"https://catalog.data.gov/harvest_record/860d182f-b7a2-4d91-9094-ed84f52e0c83/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a3ece3e1ba49b7c2e2634db","keyword":["Alberta","Artemisia","EPSG:3857","GeoTIFF","Greater Sage-Grouse","Montana","North Dakota","Northern Great Plains","Northern Rocky Mountains","Northwestern Glaciated Plains","Northwestern Great Plains","Saskatchewan","South Dakota","USGS:6a3ece3e1ba49b7c2e2634db","WGS84","Wyoming","biota","cheatgrass","climate change","conservation planning","environment","focal mean smoothing","geoscientificInformation","invasive species","raster","sagebrush","sagebrush steppe","shrubland","vulnerability index","wildfire"],"last_harvested_date":"2026-08-20T00:39:42.075012","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"greater-northern-sagebrush-vulnerability-map","spatial_centroid":{"lat":48.045820000000006,"lon":-108.77606},"spatial_shape":{"coordinates":[[[-113.3097,45.9977],[-113.3097,51.118],[-101.9756,51.118],[-101.9756,45.9977],[-113.3097,45.9977]]],"type":"Polygon"},"theme":["geospatial"],"title":"Greater Northern Sagebrush Vulnerability Map","type":"dataset"},{"_score":2.3897448,"_sort":[1787186351761,2.3897448,0,"5a57a7f7-45a1-48bf-b782-053b9679c038"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jonathan Casey Root","hasEmail":"mailto:jroot@usgs.gov"},"description":"Terminal and saline lakes across the western United States serve as critical hydrologic, ecologic, and geomorphic resources. This data release provides assimilated topobathymetric elevation models and elevation area volume (EAV) relationships for selected lakes within these terminal basins. The datasets integrate the best available topographic lidar and bathymetric information, including recent high resolution lidar digital elevation models (DEMs) and historical or modern bathymetric surveys, to produce continuous elevation surfaces for each lake. Bathymetric sources include interpolated DEMs derived from historical contour maps as well as more recent echosounder based or lidar supported lakebed surveys. All elevation data were transformed to the North American Vertical Datum of 1988 (NAVD88) and merged at the highest available spatial resolution for each lake domain.\nTopobathymetric rasters were generated in ArcGIS Pro (v. 3.5.5) using consistent horizontal projections within the Universal Transverse Mercator system and processed to ensure seamless topographic transitions between dry and submerged surfaces. In cases where bathymetric coverage did not overlap with lidar, elevation gaps were interpolated using hydrologically consistent void filling models to create continuous topobathymetry. Elevation area volume relationships were computed at 0.1 meter intervals across each modeled lake using the ESRI Storage Capacity tool, with hydrologically conditioned processing for lakes in which natural or manmade barriers form multiple basins that connect only at specific elevations. The uppermost elevation in each EAV table is equal to or above the highest recorded water-surface elevation observed in historical records. These EAV curves provide a quantitative basis for hydrologic modeling, water budget analyses, and ecological assessment within each closed basin.\nThis data release delivers standardized, high\u2011quality elevation datasets and EAV metrics for lakes including Eagle Lake, Goose Lake, Honey Lake, and Mono Lake in California, Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Winnemucca Lake, and Walker Lake in Nevada, Lake Abert, Harney Lake, Malheur Lake, Mud Lake, Silver Lake, and Summer Lake in Oregon, and Sevier Lake in Utah. Together, these products support improved understanding of lake dynamics, ecosystem management, and hydrogeomorphic change across terminal lake systems of the western United States.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P147WRTT","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.6a107437b66b01c1459c95e0.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a107437b66b01c1459c95e0","keyword":["3D Elevation Program","3DEP","Acoustic Sonar","Antelope Island State Park","Ash Meadows National Wildlife Refuge","Bear River Migratory Bird Refuge","Box Elder County","Burns Paiute Indian Colony","California","Carson Lake","Carson Lake Pasture","Carson Sink","Churchill County","DEM","David County","Eagle Lake","Fallon National Wildlife Refuge","Fallon Paiute-Shoshone Reservation","Fish Springs National Wildlife Refuge","Flood Inundation Modeling","Franklin Lake","Fremont\u2013Winema National Forest","Goose Lake","Harney County","Harney Lake","Honey Lake","Honey Lake Wildlife Area","Idaho","Inland Bathymetry","Inyo National Forest","Lake Abert","Lake County","Lassen County","Lassen National Forest","Light Detection and Ranging","Lower Chewaucan Marsh","Malheur Lake","Malheur National Wildlife Refuge","Millard County","Mineral County","Modoc National Forest","Mono County","Mono Lake","Mono Lake Tufa State Natural Reserve","Mud Lake","Nevada","Oregon","Pershing County","Pyramid Lake","Pyramid Lake Paiute Reservation","Reservoir Storage Capacity","Ruby Lake","Ruby Lake National Wildlife Refuge","SLEIWAAs","Saline Lakes Ecosystems Integrated Water Availability Assessment","Salt Lake County","Sevier Lake","Silver Lake","Stillwater National Wildlife Refuge","Summer Lake","Summer Lake Wildlife Area","Susanville Indian Rancheria","TBDEM","Tooele County","U.S. Geological Survey","USGS","USGS:6a107437b66b01c1459c95e0","Upper Chewaucan Marsh","Utah","Utah Water Science Center","Walker Lake","Walker River Reservation","Washoe County","Weber County","Winnemucca Lake","Wyoming","XL Ranch Rancheria","aquatic ecosystems","bathymetry","benthic ecosystems","biota","birds","climatologyMeteorologyAtmosphere","digital elevation models","dissolved solids","earth sciences","economy","ecosystem management","ecosystem monitoring","elevation","environment","environmental assessment","geography","geomorphology","geoscientificInformation","geospatial analysis","geospatial datasets","habitat distribution","hydrology","inlandWaters","lake elevation","lidar","limnology","natural resource assessment","salinity","salt budget","salt cycling","shorebird habitat","society","storage capacity","surface area","surface-water level","topobathymetric digital elevation model","topobathymetry","topography","volume","water budget","water depth","water quality","water resource management","water surface elevation","water use","watershed management","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-120.9660, 36.2283, -111.8917, 43.5281","theme":["geospatial"],"title":"Topobathymetric Elevation Models and Elevation-Area-Volume Relationships for Selected Lakes in Closed Basins of the Great Basin States"},"description":"Terminal and saline lakes across the western United States serve as critical hydrologic, ecologic, and geomorphic resources. This data release provides assimilated topobathymetric elevation models and elevation area volume (EAV) relationships for selected lakes within these terminal basins. The datasets integrate the best available topographic lidar and bathymetric information, including recent high resolution lidar digital elevation models (DEMs) and historical or modern bathymetric surveys, to produce continuous elevation surfaces for each lake. Bathymetric sources include interpolated DEMs derived from historical contour maps as well as more recent echosounder based or lidar supported lakebed surveys. All elevation data were transformed to the North American Vertical Datum of 1988 (NAVD88) and merged at the highest available spatial resolution for each lake domain.\nTopobathymetric rasters were generated in ArcGIS Pro (v. 3.5.5) using consistent horizontal projections within the Universal Transverse Mercator system and processed to ensure seamless topographic transitions between dry and submerged surfaces. In cases where bathymetric coverage did not overlap with lidar, elevation gaps were interpolated using hydrologically consistent void filling models to create continuous topobathymetry. Elevation area volume relationships were computed at 0.1 meter intervals across each modeled lake using the ESRI Storage Capacity tool, with hydrologically conditioned processing for lakes in which natural or manmade barriers form multiple basins that connect only at specific elevations. The uppermost elevation in each EAV table is equal to or above the highest recorded water-surface elevation observed in historical records. These EAV curves provide a quantitative basis for hydrologic modeling, water budget analyses, and ecological assessment within each closed basin.\nThis data release delivers standardized, high\u2011quality elevation datasets and EAV metrics for lakes including Eagle Lake, Goose Lake, Honey Lake, and Mono Lake in California, Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Winnemucca Lake, and Walker Lake in Nevada, Lake Abert, Harney Lake, Malheur Lake, Mud Lake, Silver Lake, and Summer Lake in Oregon, and Sevier Lake in Utah. Together, these products support improved understanding of lake dynamics, ecosystem management, and hydrogeomorphic change across terminal lake systems of the western United States.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/96cdd69c-0442-477d-9313-a07bedbe6fe9","harvest_record_raw":"https://catalog.data.gov/harvest_record/96cdd69c-0442-477d-9313-a07bedbe6fe9/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a107437b66b01c1459c95e0","keyword":["3D Elevation Program","3DEP","Acoustic Sonar","Antelope Island State Park","Ash Meadows National Wildlife Refuge","Bear River Migratory Bird Refuge","Box Elder County","Burns Paiute Indian Colony","California","Carson Lake","Carson Lake Pasture","Carson Sink","Churchill County","DEM","David County","Eagle Lake","Fallon National Wildlife Refuge","Fallon Paiute-Shoshone Reservation","Fish Springs National Wildlife Refuge","Flood Inundation Modeling","Franklin Lake","Fremont\u2013Winema National Forest","Goose Lake","Harney County","Harney Lake","Honey Lake","Honey Lake Wildlife Area","Idaho","Inland Bathymetry","Inyo National Forest","Lake Abert","Lake County","Lassen County","Lassen National Forest","Light Detection and Ranging","Lower Chewaucan Marsh","Malheur Lake","Malheur National Wildlife Refuge","Millard County","Mineral County","Modoc National Forest","Mono County","Mono Lake","Mono Lake Tufa State Natural Reserve","Mud Lake","Nevada","Oregon","Pershing County","Pyramid Lake","Pyramid Lake Paiute Reservation","Reservoir Storage Capacity","Ruby Lake","Ruby Lake National Wildlife Refuge","SLEIWAAs","Saline Lakes Ecosystems Integrated Water Availability Assessment","Salt Lake County","Sevier Lake","Silver Lake","Stillwater National Wildlife Refuge","Summer Lake","Summer Lake Wildlife Area","Susanville Indian Rancheria","TBDEM","Tooele County","U.S. Geological Survey","USGS","USGS:6a107437b66b01c1459c95e0","Upper Chewaucan Marsh","Utah","Utah Water Science Center","Walker Lake","Walker River Reservation","Washoe County","Weber County","Winnemucca Lake","Wyoming","XL Ranch Rancheria","aquatic ecosystems","bathymetry","benthic ecosystems","biota","birds","climatologyMeteorologyAtmosphere","digital elevation models","dissolved solids","earth sciences","economy","ecosystem management","ecosystem monitoring","elevation","environment","environmental assessment","geography","geomorphology","geoscientificInformation","geospatial analysis","geospatial datasets","habitat distribution","hydrology","inlandWaters","lake elevation","lidar","limnology","natural resource assessment","salinity","salt budget","salt cycling","shorebird habitat","society","storage capacity","surface area","surface-water level","topobathymetric digital elevation model","topobathymetry","topography","volume","water budget","water depth","water quality","water resource management","water surface elevation","water use","watershed management","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:39:11.761552","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"topobathymetric-elevation-models-and-elevation-area-volume-relationships-for-selected-lake","spatial_centroid":{"lat":39.148219999999995,"lon":-117.33627999999999},"spatial_shape":{"coordinates":[[[-120.966,36.2283],[-120.966,43.5281],[-111.8917,43.5281],[-111.8917,36.2283],[-120.966,36.2283]]],"type":"Polygon"},"theme":["geospatial"],"title":"Topobathymetric Elevation Models and Elevation-Area-Volume Relationships for Selected Lakes in Closed Basins of the Great Basin States","type":"dataset"},{"_score":8.523054,"_sort":[1787186134524,8.523054,0,"f250fad4-59c8-41d0-9b79-58ab834eb967"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Kristin Romanok","hasEmail":"mailto:kromanok@usgs.gov"},"description":"Beginning in 2016, the U.S. Geological Survey, Environmental Health Program, Drinking Water and Wastewater Infrastructure Integrated Science Team, in collaboration with other federal, non-governmental and Tribal partners, began collecting and analyzing tapwater samples from across the Nation for a large suite of inorganic, organic, and biological contaminants (Bradley and others, 2025). Results from these analyses demonstrated that, in many instances, drinking water is an exposure pathway for multiple contaminants of concern (exposures greater than the federal and state drinking water health-based guidelines) in private, public, and bottled water sources. In addition to targeted chemical analyses, in vitro bioactivity analyses were performed to help characterize the potential biological effects from multiple contaminants.\nFrom 2016-2020, 265 water-quality samples, including 21 quality-assurance field blanks, which had previously been extracted from 1-liter samples were sent to Attagene, Inc., Morrisville, North Carolina for in vitro bioactivity screening. These extracts were analyzed for 48 biological endpoints using the cis-factorial assay described in Romanov and others (2008). Detailed method information and further analysis can be found in the associated report Bradley and others (2026).\nReferences--\nBradley, P.M., Romanok, K.M., Smalling, K.L., Gordon, S.E., Huffman, B.J., Friedman, K.P., Villeneuve, D.L., Blackwell, B.R., Fitzpatrick, S.C., Focazio, M.J., Medlock-Kakaley, E., Meppelink, S.M., Navas-Acien, A., Nigra, A.E., and Schreiner, M.L., 2025, Private, public, and bottled drinking water: Shared contaminant-mixture exposures and effects challenge: Environmental International, v. 195, 18 p., accessed on April 29, 2020 2026, at https://doi.org/10.1016/j.envint.2024.109220.\nRomanov, S., Medvedev, A., Gambarian, M., Poltoratskaya, N., Moeser, M., Medvedeva, L., Gambarian, M., Diatchenko, L., and Makarov, S., 2008, Homogeneous reporter system enables quantitative functional assessment of multiple transcription factors: Nature Methods, v. 5, p. 253-60, accessed on April 28, 2026 at https://doi.org/10.1038/nmeth.1186.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P13HST8C","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.69f2398cb66b010e8bec5c39.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f2398cb66b010e8bec5c39","keyword":["Attagene","USGS:69f2398cb66b010e8bec5c39","biota","bottled water","cis-Factorial endpoints","dissolved contaminants","drinking water","environment","environmental health (human)","geoscientificInformation","health","in vitro bioassay","inlandWaters","private wells","public supply","tapwater"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-126.3867, 17.4764, -64.6875, 49.3824","theme":["geospatial"],"title":"In vitro bioactivity results analyzed in private, public, and bottled drinking-water samples, 2016-20."},"description":"Beginning in 2016, the U.S. Geological Survey, Environmental Health Program, Drinking Water and Wastewater Infrastructure Integrated Science Team, in collaboration with other federal, non-governmental and Tribal partners, began collecting and analyzing tapwater samples from across the Nation for a large suite of inorganic, organic, and biological contaminants (Bradley and others, 2025). Results from these analyses demonstrated that, in many instances, drinking water is an exposure pathway for multiple contaminants of concern (exposures greater than the federal and state drinking water health-based guidelines) in private, public, and bottled water sources. In addition to targeted chemical analyses, in vitro bioactivity analyses were performed to help characterize the potential biological effects from multiple contaminants.\nFrom 2016-2020, 265 water-quality samples, including 21 quality-assurance field blanks, which had previously been extracted from 1-liter samples were sent to Attagene, Inc., Morrisville, North Carolina for in vitro bioactivity screening. These extracts were analyzed for 48 biological endpoints using the cis-factorial assay described in Romanov and others (2008). Detailed method information and further analysis can be found in the associated report Bradley and others (2026).\nReferences--\nBradley, P.M., Romanok, K.M., Smalling, K.L., Gordon, S.E., Huffman, B.J., Friedman, K.P., Villeneuve, D.L., Blackwell, B.R., Fitzpatrick, S.C., Focazio, M.J., Medlock-Kakaley, E., Meppelink, S.M., Navas-Acien, A., Nigra, A.E., and Schreiner, M.L., 2025, Private, public, and bottled drinking water: Shared contaminant-mixture exposures and effects challenge: Environmental International, v. 195, 18 p., accessed on April 29, 2020 2026, at https://doi.org/10.1016/j.envint.2024.109220.\nRomanov, S., Medvedev, A., Gambarian, M., Poltoratskaya, N., Moeser, M., Medvedeva, L., Gambarian, M., Diatchenko, L., and Makarov, S., 2008, Homogeneous reporter system enables quantitative functional assessment of multiple transcription factors: Nature Methods, v. 5, p. 253-60, accessed on April 28, 2026 at https://doi.org/10.1038/nmeth.1186.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9cb7b4f2-47e6-4bf6-aeaa-eaffadd54825","harvest_record_raw":"https://catalog.data.gov/harvest_record/9cb7b4f2-47e6-4bf6-aeaa-eaffadd54825/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f2398cb66b010e8bec5c39","keyword":["Attagene","USGS:69f2398cb66b010e8bec5c39","biota","bottled water","cis-Factorial endpoints","dissolved contaminants","drinking water","environment","environmental health (human)","geoscientificInformation","health","in vitro bioassay","inlandWaters","private wells","public supply","tapwater"],"last_harvested_date":"2026-08-20T00:35:34.524528","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"in-vitro-bioactivity-results-analyzed-in-private-public-and-bottled-drinking-water-2016-20","spatial_centroid":{"lat":30.238799999999998,"lon":-101.70702},"spatial_shape":{"coordinates":[[[-126.3867,17.4764],[-126.3867,49.3824],[-64.6875,49.3824],[-64.6875,17.4764],[-126.3867,17.4764]]],"type":"Polygon"},"theme":["geospatial"],"title":"In vitro bioactivity results analyzed in private, public, and bottled drinking-water samples, 2016-20.","type":"dataset"},{"_score":2.411994,"_sort":[1787186000579,2.411994,0,"7d3cc5ec-c983-4eb2-bb28-ffaef006eec4"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jonathan Casey Root","hasEmail":"mailto:jroot@usgs.gov"},"description":"Terminal and saline lakes across the western United States serve as critical hydrologic, ecologic, and geomorphic resources. This data release provides assimilated topobathymetric elevation models and elevation area volume (EAV) relationships for selected lakes within these terminal basins. The datasets integrate the best available topographic lidar and bathymetric information, including recent high resolution lidar digital elevation models (DEMs) and historical or modern bathymetric surveys, to produce continuous elevation surfaces for each lake. Bathymetric sources include interpolated DEMs derived from historical contour maps as well as more recent echosounder based or lidar supported lakebed surveys. All elevation data were transformed to the North American Vertical Datum of 1988 (NAVD88) and merged at the highest available spatial resolution for each lake domain.\nTopobathymetric rasters were generated in ArcGIS Pro (v. 3.5.5) using consistent horizontal projections within the Universal Transverse Mercator system and processed to ensure seamless topographic transitions between dry and submerged surfaces. In cases where bathymetric coverage did not overlap with lidar, elevation gaps were interpolated using hydrologically consistent void filling models to create continuous topobathymetry. Elevation area volume relationships were computed at 0.1 meter intervals across each modeled lake using the ESRI Storage Capacity tool, with hydrologically conditioned processing for lakes in which natural or manmade barriers form multiple basins that connect only at specific elevations. The uppermost elevation in each EAV table is equal to or above the highest recorded water-surface elevation observed in historical records. These EAV curves provide a quantitative basis for hydrologic modeling, water budget analyses, and ecological assessment within each closed basin.\nThis data release delivers standardized, high\u2011quality elevation datasets and EAV metrics for lakes including Eagle Lake, Goose Lake, Honey Lake, and Mono Lake in California, Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Winnemucca Lake, and Walker Lake in Nevada, Lake Abert, Harney Lake, Malheur Lake, Mud Lake, Silver Lake, and Summer Lake in Oregon, and Sevier Lake in Utah. Together, these products support improved understanding of lake dynamics, ecosystem management, and hydrogeomorphic change across terminal lake systems of the western United States.\nThis section of the data release includes tables in the format of comma-separated value (CSV) files with elevation-area-volume relationships for selected lakes in closed basins of the Great Basin States. The volume and area of each lake were calculated from topobathymetric raster datasets at elevation increments of 0.1 meters from lake bottom to at or above the highest recorded water-surface elevation.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P147WRTT","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.6a15bbbab66b012f9f081d87.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a15bbbab66b012f9f081d87","keyword":["3D Elevation Program","3DEP","Acoustic Sonar","Antelope Island State Park","Ash Meadows National Wildlife Refuge","Bear River Migratory Bird Refuge","Box Elder County","Burns Paiute Indian Colony","California","Carson Lake","Carson Lake Pasture","Carson Sink","Churchill County","DEM","David County","Eagle Lake","Fallon National Wildlife Refuge","Fallon Paiute-Shoshone Reservation","Fish Springs National Wildlife Refuge","Flood Inundation Modeling","Franklin Lake","Fremont\u2013Winema National Forest","Goose Lake","Harney County","Harney Lake","Honey Lake","Honey Lake Wildlife Area","Idaho","Inland Bathymetry","Inyo National Forest","Lake Abert","Lake County","Lassen County","Lassen National Forest","Light Detection and Ranging","Lower Chewaucan Marsh","Malheur Lake","Malheur National Wildlife Refuge","Millard County","Mineral County","Modoc National Forest","Mono County","Mono Lake","Mono Lake Tufa State Natural Reserve","Mud Lake","Nevada","Oregon","Pershing County","Pyramid Lake","Pyramid Lake Paiute Reservation","Reservoir Storage Capacity","Ruby Lake","Ruby Lake National Wildlife Refuge","SLEIWAAs","Saline Lakes Ecosystems Integrated Water Availability Assessment","Salt Lake County","Sevier Lake","Silver Lake","Stillwater National Wildlife Refuge","Summer Lake","Summer Lake Wildlife Area","Susanville Indian Rancheria","TBDEM","Tooele County","U.S. Geological Survey","USGS","USGS:6a15bbbab66b012f9f081d87","Upper Chewaucan Marsh","Utah","Utah Water Science Center","Walker Lake","Walker River Reservation","Washoe County","Weber County","Winnemucca Lake","Wyoming","XL Ranch Rancheria","aquatic ecosystems","bathymetry","benthic ecosystems","biota","birds","climatologyMeteorologyAtmosphere","digital elevation models","dissolved solids","earth sciences","economy","ecosystem management","ecosystem monitoring","elevation","environment","environmental assessment","geography","geomorphology","geoscientificInformation","geospatial analysis","geospatial datasets","habitat distribution","hydrology","inlandWaters","lake elevation","lidar","limnology","natural resource assessment","salinity","salt budget","salt cycling","shorebird habitat","society","storage capacity","surface area","surface-water level","topobathymetric digital elevation model","topobathymetry","topography","volume","water budget","water depth","water quality","water resource management","water surface elevation","water use","watershed management","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-120.9660, 36.2283, -111.8917, 43.5281","theme":["geospatial"],"title":"Elevation-Area-Volume Relationships, in Topobathymetric Elevation Models and Elevation-Area-Volume Relationships for Selected Lakes in Closed Basins of the Great Basin States"},"description":"Terminal and saline lakes across the western United States serve as critical hydrologic, ecologic, and geomorphic resources. This data release provides assimilated topobathymetric elevation models and elevation area volume (EAV) relationships for selected lakes within these terminal basins. The datasets integrate the best available topographic lidar and bathymetric information, including recent high resolution lidar digital elevation models (DEMs) and historical or modern bathymetric surveys, to produce continuous elevation surfaces for each lake. Bathymetric sources include interpolated DEMs derived from historical contour maps as well as more recent echosounder based or lidar supported lakebed surveys. All elevation data were transformed to the North American Vertical Datum of 1988 (NAVD88) and merged at the highest available spatial resolution for each lake domain.\nTopobathymetric rasters were generated in ArcGIS Pro (v. 3.5.5) using consistent horizontal projections within the Universal Transverse Mercator system and processed to ensure seamless topographic transitions between dry and submerged surfaces. In cases where bathymetric coverage did not overlap with lidar, elevation gaps were interpolated using hydrologically consistent void filling models to create continuous topobathymetry. Elevation area volume relationships were computed at 0.1 meter intervals across each modeled lake using the ESRI Storage Capacity tool, with hydrologically conditioned processing for lakes in which natural or manmade barriers form multiple basins that connect only at specific elevations. The uppermost elevation in each EAV table is equal to or above the highest recorded water-surface elevation observed in historical records. These EAV curves provide a quantitative basis for hydrologic modeling, water budget analyses, and ecological assessment within each closed basin.\nThis data release delivers standardized, high\u2011quality elevation datasets and EAV metrics for lakes including Eagle Lake, Goose Lake, Honey Lake, and Mono Lake in California, Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Winnemucca Lake, and Walker Lake in Nevada, Lake Abert, Harney Lake, Malheur Lake, Mud Lake, Silver Lake, and Summer Lake in Oregon, and Sevier Lake in Utah. Together, these products support improved understanding of lake dynamics, ecosystem management, and hydrogeomorphic change across terminal lake systems of the western United States.\nThis section of the data release includes tables in the format of comma-separated value (CSV) files with elevation-area-volume relationships for selected lakes in closed basins of the Great Basin States. The volume and area of each lake were calculated from topobathymetric raster datasets at elevation increments of 0.1 meters from lake bottom to at or above the highest recorded water-surface elevation.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a57e4397-6529-4f1c-8168-ab2bbbe4cf98","harvest_record_raw":"https://catalog.data.gov/harvest_record/a57e4397-6529-4f1c-8168-ab2bbbe4cf98/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a15bbbab66b012f9f081d87","keyword":["3D Elevation Program","3DEP","Acoustic Sonar","Antelope Island State Park","Ash Meadows National Wildlife Refuge","Bear River Migratory Bird Refuge","Box Elder County","Burns Paiute Indian Colony","California","Carson Lake","Carson Lake Pasture","Carson Sink","Churchill County","DEM","David County","Eagle Lake","Fallon National Wildlife Refuge","Fallon Paiute-Shoshone Reservation","Fish Springs National Wildlife Refuge","Flood Inundation Modeling","Franklin Lake","Fremont\u2013Winema National Forest","Goose Lake","Harney County","Harney Lake","Honey Lake","Honey Lake Wildlife Area","Idaho","Inland Bathymetry","Inyo National Forest","Lake Abert","Lake County","Lassen County","Lassen National Forest","Light Detection and Ranging","Lower Chewaucan Marsh","Malheur Lake","Malheur National Wildlife Refuge","Millard County","Mineral County","Modoc National Forest","Mono County","Mono Lake","Mono Lake Tufa State Natural Reserve","Mud Lake","Nevada","Oregon","Pershing County","Pyramid Lake","Pyramid Lake Paiute Reservation","Reservoir Storage Capacity","Ruby Lake","Ruby Lake National Wildlife Refuge","SLEIWAAs","Saline Lakes Ecosystems Integrated Water Availability Assessment","Salt Lake County","Sevier Lake","Silver Lake","Stillwater National Wildlife Refuge","Summer Lake","Summer Lake Wildlife Area","Susanville Indian Rancheria","TBDEM","Tooele County","U.S. Geological Survey","USGS","USGS:6a15bbbab66b012f9f081d87","Upper Chewaucan Marsh","Utah","Utah Water Science Center","Walker Lake","Walker River Reservation","Washoe County","Weber County","Winnemucca Lake","Wyoming","XL Ranch Rancheria","aquatic ecosystems","bathymetry","benthic ecosystems","biota","birds","climatologyMeteorologyAtmosphere","digital elevation models","dissolved solids","earth sciences","economy","ecosystem management","ecosystem monitoring","elevation","environment","environmental assessment","geography","geomorphology","geoscientificInformation","geospatial analysis","geospatial datasets","habitat distribution","hydrology","inlandWaters","lake elevation","lidar","limnology","natural resource assessment","salinity","salt budget","salt cycling","shorebird habitat","society","storage capacity","surface area","surface-water level","topobathymetric digital elevation model","topobathymetry","topography","volume","water budget","water depth","water quality","water resource management","water surface elevation","water use","watershed management","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:33:20.579284","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"elevation-area-volume-relationships-in-topobathymetric-elevation-models-and-elevation-area","spatial_centroid":{"lat":39.148219999999995,"lon":-117.33627999999999},"spatial_shape":{"coordinates":[[[-120.966,36.2283],[-120.966,43.5281],[-111.8917,43.5281],[-111.8917,36.2283],[-120.966,36.2283]]],"type":"Polygon"},"theme":["geospatial"],"title":"Elevation-Area-Volume Relationships, in Topobathymetric Elevation Models and Elevation-Area-Volume Relationships for Selected Lakes in Closed Basins of the Great Basin States","type":"dataset"},{"_score":9.473384,"_sort":[1787184868150,9.473384,0,"74d59509-ef29-4e62-b87a-9b554623fc94"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"U.S. Geological Survey, Western Ecological Research Center","hasEmail":"mailto:gs-b-werc_data_management@usgs.gov"},"description":"Coastal managers need robust projections of how sea-level rise (SLR), sediment availability, and management actions may alter estuarine habitats.  We developed and calibrated WARMER-Coast, an intermediate-complexity modeling framework, to simulate tidal wetland evolution, assess potential upslope migration pathways, and evaluate management scenarios developed in consultation with local stakeholders. WARMER-Coast couples the 1-D soil cohort model WARMER v3 with a simplified 2-D hydrodynamic framework to simulate inundation, sediment transport, surface and edge erosion, plant growth, organic matter accumulation, and carbon storage. Model calibration leveraged extensive field observations, including water-level monitoring, elevation and vegetation surveys, surface elevation table measurements, soil cores, feldspar marker horizons, and short-term sediment deposition measurements. We applied the calibrated model to project marsh and seagrass habitat trajectories across five SLR scenarios and three sediment regimes. Results identify where habitat persistence, conversion, and upslope migration are most likely, and provide a framework for comparing the relative effectiveness of adaptive management actions in Morro Bay and other vulnerable estuaries.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P1BMNQN3","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.6a7a2d731ba49b951e84040b.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a7a2d731ba49b951e84040b","keyword":["California","Morro Bay","USGS:6a7a2d731ba49b951e84040b","biota","elevation","environment","mathematical modeling","sea-level change","tidal flat","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-120.88342, 35.30731, -120.80319, 35.37418","theme":["geospatial"],"title":"Projected evolution of intertidal habitats in Morro Bay, California under sea-level rise, climate variability, and management scenarios, 2020-2100"},"description":"Coastal managers need robust projections of how sea-level rise (SLR), sediment availability, and management actions may alter estuarine habitats.  We developed and calibrated WARMER-Coast, an intermediate-complexity modeling framework, to simulate tidal wetland evolution, assess potential upslope migration pathways, and evaluate management scenarios developed in consultation with local stakeholders. WARMER-Coast couples the 1-D soil cohort model WARMER v3 with a simplified 2-D hydrodynamic framework to simulate inundation, sediment transport, surface and edge erosion, plant growth, organic matter accumulation, and carbon storage. Model calibration leveraged extensive field observations, including water-level monitoring, elevation and vegetation surveys, surface elevation table measurements, soil cores, feldspar marker horizons, and short-term sediment deposition measurements. We applied the calibrated model to project marsh and seagrass habitat trajectories across five SLR scenarios and three sediment regimes. Results identify where habitat persistence, conversion, and upslope migration are most likely, and provide a framework for comparing the relative effectiveness of adaptive management actions in Morro Bay and other vulnerable estuaries.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c19dafbc-4332-41c7-ab54-dbc8a9651203","harvest_record_raw":"https://catalog.data.gov/harvest_record/c19dafbc-4332-41c7-ab54-dbc8a9651203/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a7a2d731ba49b951e84040b","keyword":["California","Morro Bay","USGS:6a7a2d731ba49b951e84040b","biota","elevation","environment","mathematical modeling","sea-level change","tidal flat","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:14:28.150908","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"projected-evolution-of-intertidal-habitats-in-morro-bay-california-under-sea-lev-2020-2100","spatial_centroid":{"lat":35.334058000000006,"lon":-120.85132800000001},"spatial_shape":{"coordinates":[[[-120.88342,35.30731],[-120.88342,35.37418],[-120.80319,35.37418],[-120.80319,35.30731],[-120.88342,35.30731]]],"type":"Polygon"},"theme":["geospatial"],"title":"Projected evolution of intertidal habitats in Morro Bay, California under sea-level rise, climate variability, and management scenarios, 2020-2100","type":"dataset"},{"_score":8.169557,"_sort":[1787184726115,8.169557,0,"4b578266-b733-47b6-9fe2-8bfa027e59ba"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Alice Besterman","hasEmail":"mailto:abesterman@towson.edu"},"description":"This data set includes water level response data from two salt marshes in Buzzards Bay, Massachusetts, which received hydrologic restoration to address interior ponding using runnels. These data are from a replicated BACI (before-after-control-impact) designed study, at two marshes with differing hydrology and geomorphology. Data were collected using HOBO Water Level Data Loggers (U20L-04) deployed below the marsh surface between May and October (full duration of deployment varies by year). Data were collected every 15-minutes and filtered to generate a minimum daily water level. Water levels are presented relative to soil height.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P1MBL4ML","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.69f8d07bb66b01f26a042d7e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f8d07bb66b01f26a042d7e","keyword":["Allens Pond","Atlantic Ocean","Buzzards Bay","Massachusetts","Nasketucket Bay","Northeast United States","USGS:69f8d07bb66b01f26a042d7e","United States","biota","climate change","coastal ecosystems","ecosystem management","environment","oceans","sea-level change","vegetation","wetland ecosystems"],"modified":"2026-08-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-71.0335, 41.5065, -70.8364, 41.6447","theme":["geospatial"],"title":"Water level responses in shallow-water areas to restoration in Buzzards Bay Massachusetts, 2020-2023"},"description":"This data set includes water level response data from two salt marshes in Buzzards Bay, Massachusetts, which received hydrologic restoration to address interior ponding using runnels. These data are from a replicated BACI (before-after-control-impact) designed study, at two marshes with differing hydrology and geomorphology. Data were collected using HOBO Water Level Data Loggers (U20L-04) deployed below the marsh surface between May and October (full duration of deployment varies by year). Data were collected every 15-minutes and filtered to generate a minimum daily water level. Water levels are presented relative to soil height.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f97a7158-2fe7-491c-9093-9450c791bc6f","harvest_record_raw":"https://catalog.data.gov/harvest_record/f97a7158-2fe7-491c-9093-9450c791bc6f/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_69f8d07bb66b01f26a042d7e","keyword":["Allens Pond","Atlantic Ocean","Buzzards Bay","Massachusetts","Nasketucket Bay","Northeast United States","USGS:69f8d07bb66b01f26a042d7e","United States","biota","climate change","coastal ecosystems","ecosystem management","environment","oceans","sea-level change","vegetation","wetland ecosystems"],"last_harvested_date":"2026-08-20T00:12:06.115817","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"},"popularity":0,"publisher":"U.S. Geological Survey","slug":"water-level-responses-in-shallow-water-areas-to-restoration-in-buzzards-bay-mass-2020-2023","spatial_centroid":{"lat":41.56178,"lon":-70.95466},"spatial_shape":{"coordinates":[[[-71.0335,41.5065],[-71.0335,41.6447],[-70.8364,41.6447],[-70.8364,41.5065],[-71.0335,41.5065]]],"type":"Polygon"},"theme":["geospatial"],"title":"Water level responses in shallow-water areas to restoration in Buzzards Bay Massachusetts, 2020-2023","type":"dataset"},{"_score":10.806661,"_sort":[1787184666802,10.806661,2,"0d9af362-07a8-4a0e-84d4-fe6eb303d5b1"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"Jennifer M Cartwright","hasEmail":"mailto:jmcart@usgs.gov"},"description":"This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation conditions within a dry, mixed conifer forest study area in southern Oregon in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). 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