Timeline / Data.gov — Environment Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 5503 line(s) added, 5545 line(s) removed.
Evidence
| Source | Data.gov — Environment Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=environment&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-11T00:28:53+00:00 |
| Content type | application/json |
| Current object |
3a070febfc6db1c13f824bd31644e3ee603537fa49b280fd0d4e5fcdab75f6f3
download raw
metadata
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| Previous object |
6491d25375d397c71749aa4514725ca8fb7420d2dfbefdf6ccf5244934960c4a
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-11T00:28:53+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 5503 line(s) added, 5545 line(s) removed.
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This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.</font></span><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'><font size='2'> </font></span></div><div><font size='2'><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'>Point of Contact: </span><font color='#696969' face='Arial, sans-serif'>Bureau of Land Management, National Operations Center, Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov</font><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'>)</span></font></div>", + "fn": "PCMSC Science Data Coordinator", + "hasEmail": "mailto:pcmsc_data@usgs.gov" + }, + "description": "This part of DS 781 presents fault data for the geologic and geomorphic map of the Monterey Canyon and Vicinity map area, California. The vector data file is included in \"Faults_MontereyCanyon.zip,\" which is accessible from http://pubs.usgs.gov/ds/781/MontereyCanyon/data_catalog_MontereyCanyon.html. These data accompany the pamphlet and map sheets of Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W., Endris, C.A., and Krigsman, L.M. (P. Dartnell and S.A. Cochran, eds.), 2016, California State Waters Map Series—Monterey Canyon and Vicinity, California: U.S. Geological Survey Open-File Report 2016–1072, 48 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161072.\nFaults in the Monterey Canyon and Vicinity map area are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data from USGS field activities S–N1–09–MB and S–6–11–MB. The seismic reflection profiles were collected in 2009 and 2011.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://blm-egis.maps.arcgis.com/sharing/rest/content/items/0b78cbd5cad8463190b924828bf80c6a/data", - "format": "PDF", - "mediaType": "application/pdf", - "title": "PDF Document" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://blm-egis.maps.arcgis.com/sharing/rest/content/items/0b78cbd5cad8463190b924828bf80c6a/info/metadata/metadata.xml?format=iso19139", + "accessURL": "https://cmgds.marine.usgs.gov/data/csmp/MontereyCanyon/data_catalog_MontereyCanyon.html", + "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.556f9102e4b0d9246a9fd0ba.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/documents/BLM-EGIS::blm-natl-fiat-central-oregon-greater-sage-grouse-wildfire-invasive-annual-grasses-and-conifer-expansion-assessment-cor-document", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=0b78cbd5cad8463190b924828bf80c6a", - "issued": "2022-04-29T18:12:47Z", - "keyword": [ - "COR", - "Central Oregon", - "Fire", - "Fire and Invasives Assessment Tool", - "GRSG", - "Greater Sage Grouse", - "Greater Sage-Grouse", - "HUB-FIAT", - "HUB-IRFMS", - "IRFMS", - "Invasive Grasses", - "Oregon", - "Sage Grouse", - "Sage-Grouse", - "Sagebrush", - "Step2", - "Vegetation", - "Wildlife", - "biology", - "conifer", - "conservation", - "ecology", - "environment" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/documents/BLM-EGIS::blm-natl-fiat-central-oregon-greater-sage-grouse-wildfire-invasive-annual-grasses-and-conifer-expansion-assessment-cor-document", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2024-06-22T08:30:06Z", - "programCode": [ - "010:000" - ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_556f9102e4b0d9246a9fd0ba", + "keyword": [ + "Castroville", + "Continental/Island Shelf", + "Marina", + "Marine Nearshore Subtidal", + "Marine Offshore Subtidal", + "Monterey County", + "Moss Landing", + "Pacific Ocean", + "Rock Substrate", + "State of California", + "Transform Continental Margin", + "USGS:556f9102e4b0d9246a9fd0ba", + "Unconsolidated Mineral Substrate", + "distributions", + "environment", + "fault", + "faulting (geologic)", + "geologic structure", + "geoscientificInformation", + "geospatial datasets", + "imageryBaseMapsEarthCover", + "maps and atlases", + "marine geology", + "oceans", + "physical habitats and geomorphology", + "sea-floor characteristics", + "seabed", + "structural geology" + ], + "modified": "2022-04-05T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "theme": [ - "non-geospatial" - ], - "title": "BLM Natl FIAT Central Oregon Greater Sage-Grouse Wildfire Invasive Annual Grasses and Conifer Expansion Assessment (COR) Document" - }, - "description": "<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><font color='#000000' size='2' style='font-family:inherit;'>Central Oregon - Greater Sage-Grouse Wildfire, Invasive Annual Grasses, and Conifer Expansion Assessment Document, March 2015. </font></span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif;'><span style='font-size:12.16px; font-family:"Lucida Grande", Geneva, Verdana, Arial, Helvetica, sans-serif;'><font color='#000000'>The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.</font></span><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'><font size='2'> </font></span></div><div><font size='2'><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'>Point of Contact: </span><font color='#696969' face='Arial, sans-serif'>Bureau of Land Management, National Operations Center, Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov</font><span style='color:rgb(105, 105, 105); font-family:Arial, sans-serif;'>)</span></font></div>", + "name": "U.S. Geological Survey" + }, + "spatial": "-122.06, 36.69, -121.82, 36.85", + "theme": [ + "geospatial" + ], + "title": "Faults--Monterey Canyon and Vicinity Map Area, California" + }, + "description": "This part of DS 781 presents fault data for the geologic and geomorphic map of the Monterey Canyon and Vicinity map area, California. The vector data file is included in \"Faults_MontereyCanyon.zip,\" which is accessible from http://pubs.usgs.gov/ds/781/MontereyCanyon/data_catalog_MontereyCanyon.html. These data accompany the pamphlet and map sheets of Dartnell, P., Maier, K.L., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Hartwell, S.R., Cochrane, G.R., Ritchie, A.C., Finlayson, D.P., Kvitek, R.G., Sliter, R.W., Greene, H.G., Davenport, C.W., Endris, C.A., and Krigsman, L.M. (P. Dartnell and S.A. Cochran, eds.), 2016, California State Waters Map Series—Monterey Canyon and Vicinity, California: U.S. Geological Survey Open-File Report 2016–1072, 48 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161072.\nFaults in the Monterey Canyon and Vicinity map area are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data from USGS field activities S–N1–09–MB and S–6–11–MB. 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These are not the official representations of the lines marked by the survey, please contact Wyoming Cadastral Survey.</p>", + "fn": "Nevada Water Science Center", + "hasEmail": "mailto:GS-W-NVcrs_Webmaster@usgs.gov" + }, + "description": "A three-dimensional, groundwater-flow model (MODFLOW-2005) was developed to estimate the hydraulic \nproperties (e.g., transmissivity, hydraulic conductivity, specific yield, and specific storage) of volcanic rocks \nin Pahute Mesa, Nye County, Nevada. The model was calibrated using parameter estimation (PEST) by \nfitting estimated drawdowns to simulated drawdowns from 16 multiple-well aquifer tests. Water-level models \nwere used to estimate drawdowns from continuous water-level data collected during multiple-well aquifer \ntesting. This USGS data release contains all of the input and output files for the simulations described \nin the associated model documentation report (http://doi.org/10.3133/sir20165151). 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Range improvements may occur on private, state, and public lands under the jurisdiction of the Bureau of Land Management (BLM) and/or other federal or state agencies. On public lands managed by the Bureau of Land Management (BLM), permittees or lessees (henceforth, “operators”) may be required to install range improvements to meet the terms and conditions of their permits or leases. Often the BLM, operators, and other interested parties work together and jointly contribute to construction.Range improvements are authorized physical modifications or treatment which are designed to improve production of forage; change vegetation composition; control patterns of use; provide water; stabilize soil and water conditions; restore, protect, and improve the conditions of the rangeland ecosystems to benefit livestock, wild horses and burros, and fish and wildlife. They include, but are not limited to, structures, treatment projects and use of mechanical devices or modifications achieved through mechanical means. Range Improvements. There are two kinds of range improvements: nonstructural and structural. Seeding or prescribed burns are examples of nonstructural range improvements. Fences or facilities such as wells or water pipelines are examples of structural improvements. Many structural improvements are considered permanent, as they are not easily removed from the land. This data standard will only relate to structural range improvements features as GIS and attribute data related to almost all non-structural range improvements is stored in other national data standard datasets (e.g. NISIMS, VTRT, NFPORS). Range improvement data is also available in the Range Improvement System (RIPS), a BLM database used for tracking the establishment and maintenance of range improvments. RIPS is the database of record and contains the data to be used for budgetary and workload planning. This data set shall be comprised of a spatial display of the data in RIPS. The record unique identifier within the RIPS database (RIPS number) will be added to GIS features in this data standard to link between spatial depictions of range improvements features to their corresponding RIPS records. Wherever possible RIPS data shall be used to populate this data set.", + "fn": "Emily A. Himmelstoss", + "hasEmail": "mailto:ehimmelstoss@usgs.gov" + }, + "description": "The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010 and 2014. The first new shoreline for the State includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 USACE Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates. Some of rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names. The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. 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RIPS is the database of record and contains the data to be used for budgetary and workload planning. This data set shall be comprised of a spatial display of the data in RIPS. The record unique identifier within the RIPS database (RIPS number) will be added to GIS features in this data standard to link between spatial depictions of range improvements features to their corresponding RIPS records. Wherever possible RIPS data shall be used to populate this data set.", + "name": "U.S. Geological Survey" + }, + "spatial": "-70.989790, 42.343469, -70.590365, 42.875152", + "theme": [ + "geospatial" + ], + "title": "Baseline for the coastal region north of Boston, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0" + }, + "description": "The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. 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The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. 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These polygon features were previously in a pre-designated status (i.e. being considered as areas to be eventually designated as official ACEC designated polygonst). Once these polygon feature left the Pre-Designated phase (transitioned from a Considered to Designated status), they were removed from the ACEC Pre-designated polygon feature class and placed in this ACEC Designated polygon feature class.", + "fn": "Marie K. Bartlett", + "hasEmail": "mailto:mbartlett@usgs.gov" + }, + "description": "The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. \nThis data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with \"LT\" and \"ST\", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/b9b4b270ea4a4dfe9f5756260dea3a89/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/b9b4b270ea4a4dfe9f5756260dea3a89/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/b9b4b270ea4a4dfe9f5756260dea3a89/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/b9b4b270ea4a4dfe9f5756260dea3a89/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/b9b4b270ea4a4dfe9f5756260dea3a89/shapefile?layers=1", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-nv-acec-designated-polygons", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/nvarcgis/rest/services/BLM_Nevada_Areas_of_Critical_Concern/BLM_NV_Areas_of_Critical_Environmental_Concern/FeatureServer/1", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/nvarcgis/rest/services/BLM_Nevada_Areas_of_Critical_Concern/BLM_NV_Areas_of_Critical_Environmental_Concern/FeatureServer/1/metadata?format=iso19139", + "accessURL": "https://doi.org/10.5066/P9HYNUNV", + "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.64de700cd34e5f6cd55350cd.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=b9b4b270ea4a4dfe9f5756260dea3a89&sublayer=1", - "issued": "2024-04-08T20:11:38Z", - "keyword": [ - "Bureau of Land Management", - "Cultural", - "Endangered", - "Fish", - "Geospatial", - "Historic", - "Management", - "Natural Hazards", - "Nevada", - "Scenic", - "Value", - "Vegetation", - "Wildlife", - "Withdrawal", - "biota", - "boundaries", - "environment" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-nv-acec-designated-polygons", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2025-06-06T21:59:16Z", - "programCode": [ - "010:000" - ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64de700cd34e5f6cd55350cd", + "keyword": [ + "Atlantic Coast", + "DSAS", + "Digital Shoreline Analysis System", + "North America", + "North Carolina", + "Shoreline Change", + "Southeast Atlantic", + "U.S. Geological Survey", + "USGS", + "USGS:64de700cd34e5f6cd55350cd", + "United States", + "WHCMSC", + "Woods Hole Coastal and Marine Science Center", + "accretion", + "coastal processes", + "environment", + "erosion", + "geoscientificInformation", + "geospatial datasets", + "long-term change", + "oceans", + "shoreline accretion" + ], + "modified": "2026-03-02T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-119.7477,41.7362,-114.0452,35.0954", - "theme": [ - "geospatial" - ], - "title": "BLM NV ACEC Designated Polygons" - }, - "description": "This polygon feature class shows the spatial extent and boundaries of Areas of Critical Environmental Concern that have become officially designated by the BLM Administrative State of Nevada. These polygon features were previously in a pre-designated status (i.e. being considered as areas to be eventually designated as official ACEC designated polygonst). Once these polygon feature left the Pre-Designated phase (transitioned from a Considered to Designated status), they were removed from the ACEC Pre-designated polygon feature class and placed in this ACEC Designated polygon feature class.", + "name": "U.S. Geological Survey" + }, + "spatial": "-78.544289, 33.839336, -78.013996, 33.922937", + "theme": [ + "geospatial" + ], + "title": "North Carolina: west coast intersect points used in long-term (LT) and short-term (ST) shoreline change analyses from Cape Fear to the South Carolina border" + }, + "description": "The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. \nThis data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with \"LT\" and \"ST\", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService", - "ISO-19139 metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/4a4794f4-3561-4448-8610-d8b124850e4b", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/4a4794f4-3561-4448-8610-d8b124850e4b/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/a9f57424-9827-4401-8673-2bbe196eede1", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/a9f57424-9827-4401-8673-2bbe196eede1/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=b9b4b270ea4a4dfe9f5756260dea3a89&sublayer=1", - "keyword": [ - "Bureau of Land Management", - "Cultural", - "Endangered", - "Fish", - "Geospatial", - "Historic", - "Management", - "Natural Hazards", - "Nevada", - "Scenic", - "Value", - "Vegetation", - "Wildlife", - "Withdrawal", - "biota", - "boundaries", - "environment" - ], - "last_harvested_date": "2026-09-10T18:23:46.494687", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_64de700cd34e5f6cd55350cd", + "keyword": [ + "Atlantic Coast", + "DSAS", + "Digital Shoreline Analysis System", + "North America", + "North Carolina", + "Shoreline Change", + "Southeast Atlantic", + "U.S. Geological Survey", + "USGS", + "USGS:64de700cd34e5f6cd55350cd", + "United States", + "WHCMSC", + "Woods Hole Coastal and Marine Science Center", + "accretion", + "coastal processes", + "environment", + "erosion", + "geoscientificInformation", + "geospatial datasets", + "long-term change", + "oceans", + "shoreline accretion" + ], + "last_harvested_date": "2026-09-10T22:50:53.411589", "organization": { "aliases": [ "dept" @@ -1579,35 +607,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 0, - "publisher": "Bureau of Land Management", - "slug": "blm-nv-acec-designated-polygons", + "popularity": 1, + "publisher": "U.S. Geological Survey", + "slug": "long-and-short-term-shoreline-intersect-points-for-the-western-coast-of-north-carolina-ncw", "spatial_centroid": { - "lat": 39.079879999999996, - "lon": -117.46669999999999 + "lat": 33.8727764, + "lon": -78.3321718 }, "spatial_shape": { "coordinates": [ [ [ - -119.7477, - 41.7362 - ], - [ - -119.7477, - 35.0954 - ], - [ - -114.0452, - 35.0954 - ], - [ - -114.0452, - 41.7362 - ], - [ - -119.7477, - 41.7362 + -78.544289, + 33.839336 + ], + [ + -78.544289, + 33.922937 + ], + [ + -78.013996, + 33.922937 + ], + [ + -78.013996, + 33.839336 + ], + [ + -78.544289, + 33.839336 ] ] ], @@ -1616,154 +644,97 @@ "theme": [ "geospatial" ], - "title": "BLM NV ACEC Designated Polygons", + "title": "North Carolina: west coast intersect points used in long-term (LT) and short-term (ST) shoreline change analyses from Cape Fear to the South Carolina border", "type": "dataset" }, { - "_score": 12.52132, + "_score": 7.7400923, "_sort": [ - 1789064626290, - 12.52132, - 2, - "109ef25e-e589-4382-8825-52bcb67566fb" + 1789080652270, + 7.7400923, + 3, + "f60cc547-d0f3-4e0d-99ef-7ca083786449" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, BLM_OC_GIS_Hub_UserSupport", - "hasEmail": "mailto:BLM_OC_GIS_Hub_UserSupport@blm.gov" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the Surface Management Agency (SMA), which generally defines when the land is either: Withdrawn by some administrative or legislative action, acquired, or exchanged among government agencies. The Utah School and Institutional Trust Lands Administration (SITLA) holds responsibility maintaining land status for Utah and depicts this at the 1:24,000 scale. This information is published monthly by BLM to reflect changes in trust lands, other state land and private Land. While this dataset illustrates various government agency surface management areas and quantifies geographic acreage, these are computed by mathematical formulas. They are not derived from legal documents or associated with title documents or survey records. 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><a href='https://gis.blm.gov/utarcgis/rest/services/Lands/BLM_UT_SMA/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Surface Management Agency (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "fn": "U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center", + "hasEmail": "mailto:custserv@usgs.gov" + }, + "description": "A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.0 annual land cover products (2000–2019) for Hawaii was conducted with an independently collected reference dataset. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (2000–2019) to a reference sample of 600 Landsat resolution (30m x 30m) pixels. The LCMAP and reference dataset labels for each pixel location are displayed here for each year, 2000–2019.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/56beb07d63f947f59987635854085a40/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/56beb07d63f947f59987635854085a40/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/56beb07d63f947f59987635854085a40/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/56beb07d63f947f59987635854085a40/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/56beb07d63f947f59987635854085a40/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-surface-management-agency-polygon", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/utarcgis/rest/services/Lands/BLM_UT_SMA/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/utarcgis/rest/services/Lands/BLM_UT_SMA/FeatureServer/0/metadata?format=iso19139", + "accessURL": "https://doi.org/10.5066/P99X6X7K", + "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.60be76b1d34e86b938911f69.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=56beb07d63f947f59987635854085a40&sublayer=0", - "issued": "2022-05-13T19:43:32Z", - "keyword": [ - "Administration", - "Geospatial", - "Jurisdiction", - "Land Status", - "Management", - "Ownership", - "SITLA", - "State Lands", - "Trust Lands", - "UT", - "Utah", - "Wilderness", - "Withdrawal", - "boundaries", - "planningCadastre" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-surface-management-agency-polygon", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2022-11-04T17:42:07Z", - "programCode": [ - "010:000" - ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_60be76b1d34e86b938911f69", + "keyword": [ + "Hawaii", + "LCMAP", + "Land Change Monitoring, Assessment, and Projection", + "Landsat", + "USGS:60be76b1d34e86b938911f69", + "United States", + "environment", + "image analysis", + "land use and land cover", + "land use change", + "location", + "time series datasets" + ], + "modified": "2022-01-19T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-114.2764,42.0342,-108.8992,36.9597", - "theme": [ - "geospatial" - ], - "title": "BLM UT Surface Management Agency (Polygon)" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of the Surface Management Agency (SMA), which generally defines when the land is either: Withdrawn by some administrative or legislative action, acquired, or exchanged among government agencies. The Utah School and Institutional Trust Lands Administration (SITLA) holds responsibility maintaining land status for Utah and depicts this at the 1:24,000 scale. This information is published monthly by BLM to reflect changes in trust lands, other state land and private Land. While this dataset illustrates various government agency surface management areas and quantifies geographic acreage, these are computed by mathematical formulas. They are not derived from legal documents or associated with title documents or survey records. 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><a href='https://gis.blm.gov/utarcgis/rest/services/Lands/BLM_UT_SMA/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Surface Management Agency (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "name": "U.S. Geological Survey" + }, + "spatial": "-160.2088, 18.9531, -154.8028, 22.2202", + "theme": [ + "geospatial" + ], + "title": "Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Annual Land Cover and Land Cover Change Validation Data (2000-2019) for Hawaii" + }, + "description": "A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.0 annual land cover products (2000–2019) for Hawaii was conducted with an independently collected reference dataset. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (2000–2019) to a reference sample of 600 Landsat resolution (30m x 30m) pixels. The LCMAP and reference dataset labels for each pixel location are displayed here for each year, 2000–2019.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService", - "ISO-19139 metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/4937d105-08fd-4754-937d-f9aa5c8b7847", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/4937d105-08fd-4754-937d-f9aa5c8b7847/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/5c8a026e-3b1f-4081-b970-60276d6dd8b6", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/5c8a026e-3b1f-4081-b970-60276d6dd8b6/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=56beb07d63f947f59987635854085a40&sublayer=0", - "keyword": [ - "Administration", - "Geospatial", - "Jurisdiction", - "Land Status", - "Management", - "Ownership", - "SITLA", - "State Lands", - "Trust Lands", - "UT", - "Utah", - "Wilderness", - "Withdrawal", - "boundaries", - "planningCadastre" - ], - "last_harvested_date": "2026-09-10T18:23:46.290969", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_60be76b1d34e86b938911f69", + "keyword": [ + "Hawaii", + "LCMAP", + "Land Change Monitoring, Assessment, and Projection", + "Landsat", + "USGS:60be76b1d34e86b938911f69", + "United States", + "environment", + "image analysis", + "land use and land cover", + "land use change", + "location", + "time series datasets" + ], + "last_harvested_date": "2026-09-10T22:50:52.270025", "organization": { "aliases": [ "dept" @@ -1778,35 +749,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 2, - "publisher": "Bureau of Land Management", - "slug": "blm-ut-surface-management-agency-polygon", + "popularity": 3, + "publisher": "U.S. Geological Survey", + "slug": "land-change-monitoring-assessment-and-projection-lcmap-collection-1-0-annual-land-cover-an-22489", "spatial_centroid": { - "lat": 40.0044, - "lon": -112.12552000000001 + "lat": 20.25994, + "lon": -158.0464 }, "spatial_shape": { "coordinates": [ [ [ - -114.2764, - 42.0342 - ], - [ - -114.2764, - 36.9597 - ], - [ - -108.8992, - 36.9597 - ], - [ - -108.8992, - 42.0342 - ], - [ - -114.2764, - 42.0342 + -160.2088, + 18.9531 + ], + [ + -160.2088, + 22.2202 + ], + [ + -154.8028, + 22.2202 + ], + [ + -154.8028, + 18.9531 + ], + [ + -160.2088, + 18.9531 ] ] ], @@ -1815,176 +786,95 @@ "theme": [ "geospatial" ], - "title": "BLM UT Surface Management Agency (Polygon)", + "title": "Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Annual Land Cover and Land Cover Change Validation Data (2000-2019) for Hawaii", "type": "dataset" }, { - "_score": 10.088285, + "_score": 7.8074565, "_sort": [ - 1789064625897, - 10.088285, - 0, - "39e3bd87-e3c7-46e9-8e05-d06f4f61f6ad" + 1789080651827, + 7.8074565, + 2, + "f357cb89-2777-46f7-ad1e-f932d928955d" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, l1philli", - "hasEmail": "mailto:l1philli@blm.gov" - }, - "description": "CULVERTS_PUB_PT: This dataset defines attributes for major and minor culvert structures. According to BLM Manual 9100, a culvert is “a conduit or passageway, not classified as a bridge, under a road, trail, or other facility usually consisting of a round pipe, a pipe-arch, or an open or closed bottom box or arch.” Major culverts are defined as “a culvert having a clear opening of more than 35 square feet or multiple installations of culverts placed adjacent or contiguous as units and having a combined clear opening of more than 35 square feet.” This dataset only reflects the most current condition of the culvert as of the last visit and does not track the history of the culvert over time. Historic (removed) features may be retained in the parent Structures dataset.", + "fn": "Andrew LaMotte", + "hasEmail": "mailto:alamotte@usgs.gov" + }, + "description": "This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. \nThe data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information \nSystem see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3295?name=nlcd01-partitions.jpg. The National Land Cover Data Set for 2001 was \nproduced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. \nThe MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological \nSurvey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection \nAgency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park \nService (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA \nNatural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, \nconsistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium \nspatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and \nothers (2004), (see: http://www.mrlc.gov/mrlc2k.asp).\n\t\t\nThe NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3295?name=browsenlcd01-mappingzones.jpg), were delineated within the conterminous United States \nbased on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat \nmosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones \ncan be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or \nmrlc@usgs.gov.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://blm-egis.maps.arcgis.com/sharing/rest/content/items/4db216f3a756455ead9b940ca3a81cfe/info/metadata/metadata.xml?format=iso19139", + "accessURL": "https://doi.org/10.5066/P9CGEGQS", + "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.a3b61c48-8207-4e2e-8249-907d42db38c5.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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/4db216f3a756455ead9b940ca3a81cfe/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-culverts-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_Culverts_Point_Hub/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=4db216f3a756455ead9b940ca3a81cfe&sublayer=0", - "issued": "2022-07-27T14:03:22Z", - "keyword": [ - "Culvert", - "Disturbance", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Oregon", - "Washington", - "environment", - "structure" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-or-culverts-point-hub", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2026-09-04T17:40:45Z", - "programCode": [ - "010:000" - ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_a3b61c48-8207-4e2e-8249-907d42db38c5", + "keyword": [ + "NAWQA", + "NLCD", + "National Land Cover Data Set", + "National Water-Quality Assessment", + "USGS:a3b61c48-8207-4e2e-8249-907d42db38c5", + "environment", + "geoscientificInformation", + "inland waters", + "inlandWaters", + "land cover", + "land use" + ], + "modified": "2020-11-17T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-125,49,-116,42", - "theme": [ - "geospatial" - ], - "title": "BLM OR Culverts Point Hub" - }, - "description": "CULVERTS_PUB_PT: This dataset defines attributes for major and minor culvert structures. According to BLM Manual 9100, a culvert is “a conduit or passageway, not classified as a bridge, under a road, trail, or other facility usually consisting of a round pipe, a pipe-arch, or an open or closed bottom box or arch.” Major culverts are defined as “a culvert having a clear opening of more than 35 square feet or multiple installations of culverts placed adjacent or contiguous as units and having a combined clear opening of more than 35 square feet.” This dataset only reflects the most current condition of the culvert as of the last visit and does not track the history of the culvert over time. Historic (removed) features may be retained in the parent Structures dataset.", + "name": "U.S. Geological Survey" + }, + "spatial": "-128.307900, 36.820901, -98.182478, 51.834455", + "theme": [ + "geospatial" + ], + "title": "National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1" + }, + "description": "This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. \nThe data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information \nSystem see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3295?name=nlcd01-partitions.jpg. The National Land Cover Data Set for 2001 was \nproduced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. \nThe MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological \nSurvey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection \nAgency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park \nService (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA \nNatural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, \nconsistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium \nspatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and \nothers (2004), (see: http://www.mrlc.gov/mrlc2k.asp).\n\t\t\nThe NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see https://www.sciencebase.gov/catalog/file/get/631405cad34e36012efa3295?name=browsenlcd01-mappingzones.jpg), were delineated within the conterminous United States \nbased on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat \nmosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones \ncan be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or \nmrlc@usgs.gov.", "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/fc2c5d71-87e0-4fda-9dd2-7e05d232c41f", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/fc2c5d71-87e0-4fda-9dd2-7e05d232c41f/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/961466f4-bfd4-4ebf-b704-3b6d66a7de7b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/961466f4-bfd4-4ebf-b704-3b6d66a7de7b/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=4db216f3a756455ead9b940ca3a81cfe&sublayer=0", - "keyword": [ - "Culvert", - "Disturbance", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Oregon", - "Washington", - "environment", - "structure" - ], - "last_harvested_date": "2026-09-10T18:23:45.897293", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_a3b61c48-8207-4e2e-8249-907d42db38c5", + "keyword": [ + "NAWQA", + "NLCD", + "National Land Cover Data Set", + "National Water-Quality Assessment", + "USGS:a3b61c48-8207-4e2e-8249-907d42db38c5", + "environment", + "geoscientificInformation", + "inland waters", + "inlandWaters", + "land cover", + "land use" + ], + "last_harvested_date": "2026-09-10T22:50:51.827196", "organization": { "aliases": [ "dept" @@ -1999,35 +889,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 0, - "publisher": "Bureau of Land Management", - "slug": "blm-or-culverts-point-hub", + "popularity": 2, + "publisher": "U.S. Geological Survey", + "slug": "national-land-cover-database-2001-nlcd01-tile-1-northwest-united-states-nlcd01_1", "spatial_centroid": { - "lat": 46.2, - "lon": -121.4 + "lat": 42.8263226, + "lon": -116.2577312 }, "spatial_shape": { "coordinates": [ [ [ - -125, - 49 - ], - [ - -125, - 42 - ], - [ - -116, - 42 - ], - [ - -116, - 49 - ], - [ - -125, - 49 + -128.3079, + 36.820901 + ], + [ + -128.3079, + 51.834455 + ], + [ + -98.182478, + 51.834455 + ], + [ + -98.182478, + 36.820901 + ], + [ + -128.3079, + 36.820901 ] ] ], @@ -2036,170 +926,151 @@ "theme": [ "geospatial" ], - "title": "BLM OR Culverts Point Hub", + "title": "National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1", "type": "dataset" }, { - "_score": 8.132624, + "_score": 4.704626, "_sort": [ - 1789064624884, - 8.132624, - 0, - "5e8ac937-c5c8-4788-bf59-0a8ada6c5567" + 1789080650556, + 4.704626, + 4, + "bdcc7348-7e6a-4910-a6fe-ee55bf84a93f" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, icohen", - "hasEmail": "mailto:icohen@blm.gov" - }, - "description": "This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) National Monuments, National Conservation Areas and Similar DesignationsBLM only has authority in these boudaries on identified BLM surface and subsurface lands identified on Master Title Plats. </SPAN></P><P><SPAN><SPAN>This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule.", + "fn": "Katherine McMullen", + "hasEmail": "mailto:kmcmullen@usgs.gov" + }, + "description": "The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2013, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see https://cmgds.marine.usgs.gov/fan_info.php?fan=2013-005-FA.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/228552adb43e4dd19c9a82f58c7a56ac/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/228552adb43e4dd19c9a82f58c7a56ac/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/228552adb43e4dd19c9a82f58c7a56ac/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/228552adb43e4dd19c9a82f58c7a56ac/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/228552adb43e4dd19c9a82f58c7a56ac/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-ca-national-monuments-nca-forest-reserves-other-poly", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/caarcgis/rest/services/NCL/BLM_CA_National_Monuments_Other/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/caarcgis/rest/services/NCL/BLM_CA_National_Monuments_Other/FeatureServer/0/metadata?format=iso19139", + "accessURL": "https://pubs.usgs.gov/of/2014/1160/html/ofr2014-1160-catalog.html", + "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.b4b03399-5be3-43d7-8127-22827a2e1c6b.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=228552adb43e4dd19c9a82f58c7a56ac&sublayer=0", - "issued": "2022-07-18T17:47:56Z", - "keyword": [ - "Anthropology", - "California", - "Endangered", - "Facility", - "Geology", - "Geospatial", - "Management", - "National Conservation Areas", - "National Monuments", - "Paleontology", - "Public Lands", - "Recreation", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_b4b03399-5be3-43d7-8127-22827a2e1c6b", + "keyword": [ + "Atlantic Ocean", + "Block Island Sound", + "CMGP", + "Coastal and Marine Geology Program", + "Esri point Shapefile", + "Field Activity Number 2013-005-FA", + "Gardiners Island", + "Info bank ID B-05-13-LI", + "New York", + "North America", + "Northeast United States", + "R/V Rafael", + "SEABOSS", + "U.S. Geological Survey", + "USGS", + "USGS:b4b03399-5be3-43d7-8127-22827a2e1c6b", "United States", - "Vegetation", - "Western States", - "Wildlife", - "Withdrawal", - "boundaries", + "Van Veen grab sampler", + "WHCMSC", + "Woods Hole Coastal and Marine Science Center", "environment", "geoscientificInformation", + "geospatial datasets", + "grain-size analysis", + "gravel", + "gravelly sediment", + "ground-truth", "location", - "planningCadastre", - "structure" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-national-monuments-nca-forest-reserves-other-poly", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2022-09-27T16:39:30Z", - "programCode": [ - "010:000" - ], + "marine geology", + "navigational data", + "oceans", + "sand", + "sea floor", + "sea-floor characteristics", + "sediment data", + "sediment samples", + "sediments", + "stations", + "surficial sediment classification" + ], + "modified": "2021-11-16T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-124.5,42,-113.5,32.5", - "theme": [ - "geospatial" - ], - "title": "BLM CA National Monuments NCA Forest Reserves Other Poly" - }, - "description": "This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) National Monuments, National Conservation Areas and Similar DesignationsBLM only has authority in these boudaries on identified BLM surface and subsurface lands identified on Master Title Plats. </SPAN></P><P><SPAN><SPAN>This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule.", + "name": "U.S. Geological Survey" + }, + "spatial": "-72.096917, 41.125617, -71.857217, 41.193250", + "theme": [ + "geospatial" + ], + "title": "Surficial Sediment Data Collected During U.S. Geological Survey (USGS) Cruise R/V RAFAEL 2013-005-FA in H12299 Study Area in Block Island Sound (Geographic, WGS 84, 2013-005_299SEDDATA.SHP)" + }, + "description": "The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2013, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sedimentary, and photographic data collected in Block Island Sound. 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"title": "SQLite" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-co-oil-and-gas-lease-sale-q3-2025", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_CO_Oil_and_Gas_Lease_Sale_Q3_2025/FeatureServer/0", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=ea1786939cdd43408937952b0c3dc6a0&sublayer=0", - "issued": "2025-02-19T14:30:24Z", - "keyword": [ - "Administration", - "BLM", - "Bureau of Land Management", - "CO", - "Colorado", - "DOI", - "Department of the Interior", - "Energy", - "Expression of Interest", - "Fluid Minerals", - "Gas", - "Geology", - "Geospatial", - "Minerals", - "Oil", - "Renewables", - 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Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. 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"name": "Bureau of Land Management" - }, - "spatial": "-117.2917,45.3384,-110.8806,41.8775", - "theme": [ - "geospatial" - ], - "title": "BLM ID Sage Grouse Habitat 2016" - }, - "description": "The 2016 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2016 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.", + "name": "U.S. Geological Survey" + }, + "spatial": "-106.6112, 41.8265, -106.4009, 42.0262", + "theme": [ + "geospatial" + ], + "title": "Hanna 77, 78, 79 and 81 coal zone study limit boundaries, Wyoming (ha*stdyg)" + }, + "description": "These ArcView shapefiles contain representations of the Hanna coal zone study limit boundaries in the Hanna coalfield, Hanna Basin, Wyoming. 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They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. 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The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.</div><div style='color:rgb(0, 0, 0); font-family:Calibri; font-size:14.6667px;'>This report is the final report for the North Slope Rapid Ecoregional Assessment.</div><div style='color:rgb(0, 0, 0); font-family:Calibri; font-size:14.6667px;'>Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov</div>", + "name": "U.S. Geological Survey" + }, + "spatial": "-89.7037723045351, 46.002272195262, -89.6957319045477, 46.0152963952417", + "theme": [ + "geospatial" + ], + "title": "Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs" + }, + "description": "This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). 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"WEG", - "environment", - "geoscientificInformation", - "planningCadastre" - ], - "last_harvested_date": "2026-09-10T18:23:40.763097", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_611595d4d34e3267c61166ce", + "keyword": [ + "Aerial Photography", + "Alaska", + "Arctic Network", + "Bering Land Bridge National Preserve", + "Biota", + "Cape Krusenstern National Monument", + "Climate Change", + "Coastal Ecosystems", + "Ecotypes", + "Environment", + "Frozen Ground", + "Gates of the Arctic National Park", + "Gates of the Arctic National Preserve", + "Geography", + "Geomorphic Landforms/Processes", + "GeoscientificInformation", + "Image Analysis", + "Image Collections", + "ImageryBaseMapsEarthCover", + "InlandWaters", + "Kobuk Valley National Park", + "Land Cover", + "Land Surface", + "Land Use and Land Cover", + "Land Use/Land Cover", + "Landscape", + "Low Altitude Air Photo", + "Low Altitude Video", + "Noatak National Preserve", + "Northwest Alaska", + "Northwest Arctic Borough", + "Photogrammetry", + "Selawik National Wildlife Refuge", + "Tundra Ecosystems", + "USGS:611595d4d34e3267c61166ce", + "Vegetation", + "Videography" + ], + "last_harvested_date": "2026-09-10T22:50:46.190129", "organization": { "aliases": [ "dept" @@ -3566,34 +2198,34 @@ }, "parent_identifier": null, "popularity": 1, - "publisher": "Bureau of Land Management", - "slug": "blm-colorado-weg-v-haaland-supplemental-analysis-ea-parcels", + "publisher": "U.S. Geological Survey", + "slug": "low-altitude-photographic-transects-of-the-arctic-network-of-national-park-units-and--2013", "spatial_centroid": { - "lat": 39.51356, - "lon": -106.38561999999999 + "lat": 66.41600000000001, + "lon": -161.152 }, "spatial_shape": { "coordinates": [ [ [ - -109.4397, - 41.4892 - ], - [ - -109.4397, - 36.5501 - ], - [ - -101.8045, - 36.5501 - ], - [ - -101.8045, - 41.4892 - ], - [ - -109.4397, - 41.4892 + -169.22, + 64.78 + ], + [ + -169.22, + 68.87 + ], + [ + -149.05, + 68.87 + ], + [ + -149.05, + 64.78 + ], + [ + -169.22, + 64.78 ] ] ], @@ -3602,164 +2234,111 @@ "theme": [ "geospatial" ], - "title": "BLM Colorado WEG v Haaland Supplemental Analysis EA Parcels", + "title": "Low-Altitude Photographic Transects of the Arctic Network of National Park Units and Selawik National Wildlife Refuge, Alaska, July 2013", "type": "dataset" }, { - "_score": 12.543823, + "_score": 6.0550375, "_sort": [ - 1789064620159, - 12.543823, + 1789080645974, + 6.0550375, 1, - "f238cb99-3d23-4a44-aa45-9ca61b329962" + "05a37ef8-fcb4-4857-b0a8-73e6994534f2" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, eglenn", - "hasEmail": "mailto:eglenn@blm.gov" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of BLM recreation sites in Utah. The general types of recreation point features targeted by this feature class include information center sites, water-based sites, overnight sites, day use sites, restrooms, water access, recreational access, parking areas, airplane landing strips, etc. 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:</font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Recreation Sites (Point)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Recreation Sites (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "fn": "Tim McCrink", + "hasEmail": "mailto:tim.mccrink@conservation.ca.gov" + }, + "description": "This map shows the potential of widespread slope failures, in terms of Newmark displacement (measured in centimeters), triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The cumulative downslope displacement of hillslopes is calculated using a simplified Newmark rigid sliding block slope stability model utilizing four primary datasets: a regional-scale geologic map of the study area, geologic strength parameters compiled as part of the California Geological Survey Seismic Hazard Mapping Program, earthquake shaking data from the USGS ShakeMap developed for this scenario, and 10-meter digital elevation data from the USGS 2009 National Elevation Dataset.The seismic-landslide hazard potential map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of California’s San Francisco Bay region.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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-recreation-sites-point", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/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_RECS/FeatureServer/0/metadata?format=iso19139", + "accessURL": "https://doi.org/10.5066/F7RN363Z", + "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.5910b0ade4b0e541a03ac88a.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=df026e4da520481ea929cf4b400d8266&sublayer=0", - "issued": "2022-05-18T21:00:41Z", - "keyword": [ - "BLM", - "Bureau of Land Management", - "Disturbance", - "Eastern States", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Public Lands", - "Recreation", - "Recreation Sites", - "UT", - "United States", - "Utah", - "Western States", - "boundaries", - "inlandWaters", - "location", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5910b0ade4b0e541a03ac88a", + "keyword": [ + "Acceleration Ratio", + "Alameda County, Contra Costa County, Marin County, Napa County, San Francisco County, San Mateo County, Santa Clara County, Santa Cruz County, Solano County, Sonoma County", + "California", + "Earthquake Hazards", + "Earthquake-induced Landslide Hazards", + "Hayward Fault", + "Newmark Displacement", + "USA", + "USGS:5910b0ade4b0e541a03ac88a", + "Yield Acceleration", + "economy", + "environment", + "geoscientificInformation", + "health", + "planningCadastre", + "society", "structure", - "transportation" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-recreation-sites-point", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2022-11-04T17:34:11Z", - "programCode": [ - "010:000" - ], + "transportation", + "utilitiesCommunication" + ], + "modified": "2020-08-18T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-114.2528,41.7718,-109.016,36.9667", - "theme": [ - "geospatial" - ], - "title": "BLM UT Recreation Sites (Point)" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of BLM recreation sites in Utah. The general types of recreation point features targeted by this feature class include information center sites, water-based sites, overnight sites, day use sites, restrooms, water access, recreational access, parking areas, airplane landing strips, etc. 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:</font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Recreation Sites (Point)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Recreation Sites (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "name": "U.S. Geological Survey" + }, + "spatial": "-123.537399, 36.815789, -121.20505, 38.884942", + "theme": [ + "geospatial" + ], + "title": "Landslide Displacement in the San Francisco Bay Region. The HayWired Earthquake Scenario" + }, + "description": "This map shows the potential of widespread slope failures, in terms of Newmark displacement (measured in centimeters), triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The cumulative downslope displacement of hillslopes is calculated using a simplified Newmark rigid sliding block slope stability model utilizing four primary datasets: a regional-scale geologic map of the study area, geologic strength parameters compiled as part of the California Geological Survey Seismic Hazard Mapping Program, earthquake shaking data from the USGS ShakeMap developed for this scenario, and 10-meter digital elevation data from the USGS 2009 National Elevation Dataset.The seismic-landslide hazard potential map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of California’s San Francisco Bay region.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService", - "ISO-19139 metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/50b32195-0003-4839-ab14-e3a845bb3fcd", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/50b32195-0003-4839-ab14-e3a845bb3fcd/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/5150da9b-d2b4-4c06-9ba6-6b6ef28206a9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/5150da9b-d2b4-4c06-9ba6-6b6ef28206a9/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=df026e4da520481ea929cf4b400d8266&sublayer=0", - "keyword": [ - "BLM", - "Bureau of Land Management", - "Disturbance", - "Eastern States", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Public Lands", - "Recreation", - "Recreation Sites", - "UT", - "United States", - "Utah", - "Western States", - "boundaries", - "inlandWaters", - "location", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5910b0ade4b0e541a03ac88a", + "keyword": [ + "Acceleration Ratio", + "Alameda County, Contra Costa County, Marin County, Napa County, San Francisco County, San Mateo County, Santa Clara County, Santa Cruz County, Solano County, Sonoma County", + "California", + "Earthquake Hazards", + "Earthquake-induced Landslide Hazards", + "Hayward Fault", + "Newmark Displacement", + "USA", + "USGS:5910b0ade4b0e541a03ac88a", + "Yield Acceleration", + "economy", + "environment", + "geoscientificInformation", + "health", + "planningCadastre", + "society", "structure", - "transportation" - ], - "last_harvested_date": "2026-09-10T18:23:40.159833", + "transportation", + "utilitiesCommunication" + ], + "last_harvested_date": "2026-09-10T22:50:45.974345", "organization": { "aliases": [ "dept" @@ -3775,34 +2354,34 @@ }, "parent_identifier": null, "popularity": 1, - "publisher": "Bureau of Land Management", - "slug": "blm-ut-recreation-sites-point", + "publisher": "U.S. Geological Survey", + "slug": "landslide-displacement-in-the-san-francisco-bay-region-the-haywired-earthquake-scenario", "spatial_centroid": { - "lat": 39.84976, - "lon": -112.15808 + "lat": 37.643450200000004, + "lon": -122.6044594 }, "spatial_shape": { "coordinates": [ [ [ - -114.2528, - 41.7718 - ], - [ - -114.2528, - 36.9667 - ], - [ - -109.016, - 36.9667 - ], - [ - -109.016, - 41.7718 - ], - [ - -114.2528, - 41.7718 + -123.537399, + 36.815789 + ], + [ + -123.537399, + 38.884942 + ], + [ + -121.20505, + 38.884942 + ], + [ + -121.20505, + 36.815789 + ], + [ + -123.537399, + 36.815789 ] ] ], @@ -3811,200 +2390,93 @@ "theme": [ "geospatial" ], - "title": "BLM UT Recreation Sites (Point)", + "title": "Landslide Displacement in the San Francisco Bay Region. The HayWired Earthquake Scenario", "type": "dataset" }, { - "_score": 8.050487, + "_score": 8.500415, "_sort": [ - 1789064619930, - 8.050487, - 8, - "50d7facc-9d4f-4a1a-a771-e8575b6d476f" + 1789080643480, + 8.500415, + 1, + "8f54c98e-34c7-4d1e-b976-da84570aed30" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, blm_mt_grsg", - "hasEmail": "mailto:blm_mt_grsg@blm.gov" - }, - "description": "Polygons depict Oil and Gas allocations. These data reflect the decision made in the Greater Sage-Grouse Approved RMP Amendment (ARMPA) in Montana/Dakotas. Details related to ARMPA Oil and Gas allocations can be found in the Montana/Dakotas Approved RMP Amendment and associated Record of Decision (ROD). The ARMPA only changes allocations within HMAs, areas outside HMAs carry forward decisions and allocations from the associated previous RMPs. In addition, the ARMPA carries forward more stringent stipulations from earlier RMPs within GRSG HMAs where those stipulations are tied to resources other than GRSG.", + "fn": "Kylle Roy", + "hasEmail": "mailto:kroy@usgs.gov" + }, + "description": "We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). Both samplers are modeled after commercial devices such as the Rotorod® and the Burkard® samplers, but are more economical and require less maintenance than commercial devices. We compared our two new samplers to Rotorod® samplers using Xyleborus spp. boring dust (frass) known to contain fungi responsible for Rapid Ohia Death. The comparison was done in a large outdoor field cage to determine relative effectiveness of the three samplers for capturing windblown boring dust. The dataset contains measurements of boring dust particles that were captured by the three types of samples over the course of twelve trials.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://blm-egis.maps.arcgis.com/sharing/rest/content/items/5037ae54c642469ebba593be837d8382/info/metadata/metadata.xml?format=iso19139", + "accessURL": "https://doi.org/10.5066/P9QN1HBT", + "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.5c1c1d65e4b0708288c7ac25.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/5037ae54c642469ebba593be837d8382/csv?layers=32", - "format": "CSV", - "mediaType": "text/csv", - 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"mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/5037ae54c642469ebba593be837d8382/gpkg?layers=32", - "format": "ZIP", - "mediaType": "application/geopackage+sqlite3", - "title": "GeoPackage" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/5037ae54c642469ebba593be837d8382/kml?layers=32", - "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/5037ae54c642469ebba593be837d8382/shapefile?layers=32", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/5037ae54c642469ebba593be837d8382/sqlite?layers=32", - "format": "GDB", - "mediaType": "application/geopackage+sqlite3", - "title": "SQLite" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-montana-dakotas-grsg-rod-armpa-oil-and-gas-allocations", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_Montana_Dakotas_GRSG_ROD_ARMPA_Oil_and_Gas_Allocations/FeatureServer/32", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=5037ae54c642469ebba593be837d8382&sublayer=32", - "issued": "2026-03-11T21:45:00Z", - "keyword": [ - "ARMPA", - "Allocation Decisions", - "BLM", - "CHMA", - "Core Areas", - "EIS", - "GHMA", - "GRSG", - "Greater Sage-Grouse", - "LMHMA", - "Minerals", - "Montana", - "North Dakota", - "Oil and Gas", - "PHMA", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5c1c1d65e4b0708288c7ac25", + "keyword": [ + "Environmental DNA", + "Environmental Sampler", + "Frass", + "Metrosideros polymorpha", "ROD", - "SCHMA", - "Sage-Grouse", - "South Dakota", - "Wildlife", - "biota", + "Rapid Ohia Death", + "Spore Traps", + "USGS:5c1c1d65e4b0708288c7ac25", + "Xyleborus", "environment" ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-montana-dakotas-grsg-rod-armpa-oil-and-gas-allocations", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2026-03-11T21:56:49Z", - "programCode": [ - "010:000" - ], + "modified": "2020-08-27T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-114.8529,50.1285,-98.5565,41.9396", - "theme": [ - "geospatial" - ], - "title": "BLM Montana Dakotas GRSG ROD ARMPA Oil and Gas Allocations" - }, - "description": "Polygons depict Oil and Gas allocations. These data reflect the decision made in the Greater Sage-Grouse Approved RMP Amendment (ARMPA) in Montana/Dakotas. Details related to ARMPA Oil and Gas allocations can be found in the Montana/Dakotas Approved RMP Amendment and associated Record of Decision (ROD). The ARMPA only changes allocations within HMAs, areas outside HMAs carry forward decisions and allocations from the associated previous RMPs. In addition, the ARMPA carries forward more stringent stipulations from earlier RMPs within GRSG HMAs where those stipulations are tied to resources other than GRSG.", + "name": "U.S. Geological Survey" + }, + "spatial": "-155.096827, 19.695607, -155.091505, 19.700617", + "theme": [ + "geospatial" + ], + "title": "Frass Length Measurements during Caged Sampler Type Comparisons" + }, + "description": "We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). Both samplers are modeled after commercial devices such as the Rotorod® and the Burkard® samplers, but are more economical and require less maintenance than commercial devices. We compared our two new samplers to Rotorod® samplers using Xyleborus spp. boring dust (frass) known to contain fungi responsible for Rapid Ohia Death. The comparison was done in a large outdoor field cage to determine relative effectiveness of the three samplers for capturing windblown boring dust. The dataset contains measurements of boring dust particles that were captured by the three types of samples over the course of twelve trials.", "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/98100f9b-958d-4104-802d-7fa06e780e46", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/98100f9b-958d-4104-802d-7fa06e780e46/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/88a4f2c7-15e8-4544-856e-bfadebbcb160", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/88a4f2c7-15e8-4544-856e-bfadebbcb160/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=5037ae54c642469ebba593be837d8382&sublayer=32", - "keyword": [ - "ARMPA", - "Allocation Decisions", - "BLM", - "CHMA", - "Core Areas", - "EIS", - "GHMA", - "GRSG", - "Greater Sage-Grouse", - "LMHMA", - "Minerals", - "Montana", - "North Dakota", - "Oil and Gas", - "PHMA", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5c1c1d65e4b0708288c7ac25", + "keyword": [ + "Environmental DNA", + "Environmental Sampler", + "Frass", + "Metrosideros polymorpha", "ROD", - "SCHMA", - "Sage-Grouse", - "South Dakota", - "Wildlife", - "biota", + "Rapid Ohia Death", + "Spore Traps", + "USGS:5c1c1d65e4b0708288c7ac25", + "Xyleborus", "environment" ], - "last_harvested_date": "2026-09-10T18:23:39.930232", + "last_harvested_date": "2026-09-10T22:50:43.480771", "organization": { "aliases": [ "dept" @@ -4019,35 +2491,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 8, - "publisher": "Bureau of Land Management", - "slug": "blm-montana-dakotas-grsg-rod-armpa-oil-and-gas-allocations", + "popularity": 1, + "publisher": "U.S. Geological Survey", + "slug": "frass-length-measurements-during-caged-sampler-type-comparisons", "spatial_centroid": { - "lat": 46.852940000000004, - "lon": -108.33434 + "lat": 19.697611000000002, + "lon": -155.09469819999998 }, "spatial_shape": { "coordinates": [ [ [ - -114.8529, - 50.1285 - ], - [ - -114.8529, - 41.9396 - ], - [ - -98.5565, - 41.9396 - ], - [ - -98.5565, - 50.1285 - ], - [ - -114.8529, - 50.1285 + -155.096827, + 19.695607 + ], + [ + -155.096827, + 19.700617 + ], + [ + -155.091505, + 19.700617 + ], + [ + -155.091505, + 19.695607 + ], + [ + -155.096827, + 19.695607 ] ] ], @@ -4056,164 +2528,175 @@ "theme": [ "geospatial" ], - "title": "BLM Montana Dakotas GRSG ROD ARMPA Oil and Gas Allocations", + "title": "Frass Length Measurements during Caged Sampler Type Comparisons", "type": "dataset" }, { - "_score": 12.517822, + "_score": 4.22316, "_sort": [ - 1789064619739, - 12.517822, - 1, - "c25cf623-6817-4d59-bed5-89c86737a413" + 1789080643055, + 4.22316, + 5, + "7f9aff3e-744e-46b0-89e9-f84499272d39" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, eglenn", - "hasEmail": "mailto:eglenn@blm.gov" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of BLM recreation sites in Utah. The general types of recreation point features targeted by this feature class include information center sites, water-based sites, overnight sites, day use sites, restrooms, water access, recreational access, parking areas, airplane landing strips, etc. 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:</font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Recreation Sites (Point)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Recreation Sites (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "fn": "Robert H Kent", + "hasEmail": "mailto:rhkent@usgs.gov" + }, + "description": "The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to June 2021. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characterization of the 395 GAMA-PBP wells for which samples were analyzed for PFAS during the study period, and analytical results for those groundwater samples, along with results for quality control samples.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/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/df026e4da520481ea929cf4b400d8266/shapefile?layers=1", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-recreation-sites-polygon", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/1", - "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_RECS/FeatureServer/1/metadata?format=iso19139", + "accessURL": "https://doi.org/10.5066/P92IPRJD", + "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.614d1e3dd34e0df5fb986a6d.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" + "title": "Original Metadata" } ], - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=df026e4da520481ea929cf4b400d8266&sublayer=1", - "issued": "2022-05-18T21:00:41Z", - "keyword": [ - "BLM", - "Bureau of Land Management", - "Disturbance", - "Eastern States", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Public Lands", - "Recreation", - "Recreation Sites", - "UT", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_614d1e3dd34e0df5fb986a6d", + "keyword": [ + "Butte County", + "California", + "Colusa County", + "Del Norte County", + "Fresno County", + "Humboldt County", + "Imperial County", + "Kern County", + "Kings County", + "Lassen County", + "Los Angeles County", + "Madera County", + "Marin County", + "Mariposa County", + "Mendocino county", + "Merced County", + "Modoc County", + "Monterey County", + "Napa County", + "Nevada County", + "Orange County", + "Placer County", + "Plumas County", + "Riverside County", + "Sacramento County", + "San Bernardino County", + "San Diego County", + "San Joaquin County", + "San Luis Obispo County", + "Santa Barbara County", + "Santa Cruz County", + "Shasta County", + "Sierra County", + "Siskiyou County", + "Solano county", + "Sonoma County", + "Stanislaus County", + "Tehama County", + "Trinity County", + "Tulare County", + "USGS:614d1e3dd34e0df5fb986a6d", "United States", - "Utah", - "Western States", - "boundaries", - "inlandWaters", - "location", - "structure", - "transportation" - ], - "landingPage": "https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ut-recreation-sites-polygon", - "license": "http://www.usa.gov/publicdomain/label/1.0/", - "modified": "2022-11-04T17:34:11Z", - "programCode": [ - "010:000" - ], + "Ventura County", + "Western United States", + "Yolo County", + "Yuba County", + "environment", + "geoscientificinformation", + "groundwater", + "water quality", + "water sampling" + ], + "modified": "2021-12-07T00:00:00Z", "publisher": { "@type": "org:Organization", - "name": "Bureau of Land Management" - }, - "spatial": "-114.222,40.9431,-108.9967,36.9645", - "theme": [ - "geospatial" - ], - "title": "BLM UT Recreation Sites (Polygon)" - }, - "description": "<div style='text-align:left;'><p><font size='3'>The layers within this feature service represent the spatial extent and boundaries of BLM recreation sites in Utah. The general types of recreation point features targeted by this feature class include information center sites, water-based sites, overnight sites, day use sites, restrooms, water access, recreational access, parking areas, airplane landing strips, etc. 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:</font></p><p></p><ul><li><font size='3'><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/0/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1'><u>BLM UT Recreation Sites (Point)</u></font></a><br /></font></li><li><a href='https://gis.blm.gov/utarcgis/rest/services/Recreation/BLM_UT_RECS/FeatureServer/1/metadata' target='_blank' rel='nofollow ugc noopener noreferrer'><font color='#4169e1' size='3'><u>BLM UT Recreation Sites (Polygon)</u></font></a><br /></li></ul><p></p></div>", + "name": "U.S. Geological Survey" + }, + "spatial": "-124.19933, 32.68637, -115.94702, 41.92297", + "theme": [ + "geospatial" + ], + "title": "Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) (2019-2021)" + }, + "description": "The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to June 2021. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characterization of the 395 GAMA-PBP wells for which samples were analyzed for PFAS during the study period, and analytical results for those groundwater samples, along with results for quality control samples.", "distribution_titles": [ - "CSV", - "File Geodatabase", - "GeoJSON", - "KML", - "Shapefile", - "ArcGIS Hub Dataset", - "ArcGIS GeoService", - "ISO-19139 metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/1c8a343d-ff24-4c1a-9dfa-a6c764121ade", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/1c8a343d-ff24-4c1a-9dfa-a6c764121ade/raw", - "has_download": false, + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/65fbc46f-9195-4884-aab2-43054a28116d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/65fbc46f-9195-4884-aab2-43054a28116d/raw", + "has_download": true, "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=df026e4da520481ea929cf4b400d8266&sublayer=1", - "keyword": [ - "BLM", - "Bureau of Land Management", - "Disturbance", - "Eastern States", - "Facility", - "Geospatial", - "Hydrology", - "Management", - "Public Lands", - "Recreation", - "Recreation Sites", - "UT", + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_614d1e3dd34e0df5fb986a6d", + "keyword": [ + "Butte County", + "California", + "Colusa County", + "Del Norte County", + "Fresno County", + "Humboldt County", + "Imperial County", + "Kern County", + "Kings County", + "Lassen County", + "Los Angeles County", + "Madera County", + "Marin County", + "Mariposa County", + "Mendocino county", + "Merced County", + "Modoc County", + "Monterey County", + "Napa County", + "Nevada County", + "Orange County", + "Placer County", + "Plumas County", + "Riverside County", + "Sacramento County", + "San Bernardino County", + "San Diego County", + "San Joaquin County", + "San Luis Obispo County", + "Santa Barbara County", + "Santa Cruz County", + "Shasta County", + "Sierra County", + "Siskiyou County", + "Solano county", + "Sonoma County", + "Stanislaus County", + "Tehama County", + "Trinity County", + "Tulare County", + "USGS:614d1e3dd34e0df5fb986a6d", "United States", - "Utah", - "Western States", - "boundaries", - "inlandWaters", - "location", - "structure", - "transportation" - ], - "last_harvested_date": "2026-09-10T18:23:39.739583", + "Ventura County", + "Western United States", + "Yolo County", + "Yuba County", + "environment", + "geoscientificinformation", + "groundwater", + "water quality", + "water sampling" + ], + "last_harvested_date": "2026-09-10T22:50:43.055548", "organization": { "aliases": [ "dept" @@ -4228,35 +2711,35 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 1, - "publisher": "Bureau of Land Management", - "slug": "blm-ut-recreation-sites-polygon", + "popularity": 5, + "publisher": "U.S. Geological Survey", + "slug": "data-sets-for-sampling-for-per-and-polyfluoroalkyl-substances-pfas-by-the-ground-2019-2021", "spatial_centroid": { - "lat": 39.35166, - "lon": -112.13188 + "lat": 36.381009999999996, + "lon": -120.898406 }, "spatial_shape": { "coordinates": [ [ [ - -114.222, - 40.9431 - ], - [ - -114.222, - 36.9645 - ], - [ - -108.9967, - 36.9645 - ], - [ - -108.9967, - 40.9431 - ], - [ - -114.222, - 40.9431 + -124.19933, + 32.68637 + ], + [ + -124.19933, + 41.92297 + ], + [ + -115.94702, + 41.92297 + ], + [ + -115.94702, + 32.68637 + ], + [ + -124.19933, + 32.68637 ] ] ], @@ -4265,206 +2748,123 @@ "theme": [ "geospatial" ], - "title": "BLM UT Recreation Sites (Polygon)", + "title": "Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) (2019-2021)", "type": "dataset" }, { - "_score": 7.9699907, + "_score": 6.619787, "_sort": [ - 1789064619548, - 7.9699907, - 3, - "dc6db675-ec86-40fc-a72f-1e440f16db67" + 1789080642295, + 6.619787, + 5, + "f66644df-10b3-4a2a-bbfd-e2117eb65d87" ], "dcat": { "accessLevel": "public", "bureauCode": [ - "010:04" + "010:12" ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Bureau of Land Management, cplank", - "hasEmail": "mailto:cplank@blm.gov" - }, - "description": "AP_FLIGHT_LINE:\n\nLine data depicting aerial photography flight lines over BLM lands in Oregon and Washington.", + "fn": "Utah Water Science Center", + "hasEmail": "mailto:rrowland@usgs.gov" + }, + "description": "This map shows specific water-quality items and hydrologic data site\ninformation which come from QWDATA (Water Quality) and GWSI (Ground\nWater Information System). Both QWDATA and GWSI are subsystems of\nNWIS (National Water Inventory System)of the USGS (United States\nGeologic Survey).\n\t\t\nThis map is for Juab County, Utah.\n\t\t\nThe scope and purpose of NWIS is defined on the web site:\n\t\t\nhttp://water.usgs.gov/public/pubs/FS/FS-027-98/", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://blm-egis.maps.arcgis.com/sharing/rest/content/items/aabc8b221c6a499c98e7e58f87dc4f25/info/metadata/metadata.xml?format=iso19139", + "accessURL": "https://doi.org/10.5066/P9UZP3GM", + "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.993fc00d-d143-4789-a035-fa62fdd6a144.xml", + "format": "XML", "mediaType": "text/xml", - "title": "ISO-19139 metadata" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://gbp-blm-egis.hub.arcgis.com/api/download/v1/items/aabc8b221c6a499c98e7e58f87dc4f25/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/aabc8b221c6a499c98e7e58f87dc4f25/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/aabc8b221c6a499c98e7e58f87dc4f25/featureCollection?layers=1", - "format": "TXT", - "mediaType": "text/plain", - "title"