Timeline / Data.gov — Environment Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 6242 line(s) added, 4245 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 2026-10-08T00:16:45+00:00 |
| Content type | application/json |
| Current object |
e8b78bf42b307e12fad99fd21562f85203c977b0f10974e1a84d391ba076d70a
download raw
metadata
|
| Previous object |
22ac9bd1d50dac19e04e531e5db2807131088f71289b256c50f333b7bae04e65
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-10-08T00:16:45+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 6242 line(s) added, 4245 line(s) removed.
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(The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_IRR_PT.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution_titles": [ + "ArcGIS GeoService", + "CSV", + "GeoJSON", + "KML", + "Shapefile", + "ArcGIS Hub Dataset", + "ISO-19139 metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/286b286e-4181-4d33-9338-d0f8dfb441e7", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/286b286e-4181-4d33-9338-d0f8dfb441e7/raw", + "has_download": false, + "has_spatial": true, + "identifier": "https://www.arcgis.com/home/item.html?id=d6c7b19ee3d54f42b53fad7d8233a3e0&sublayer=1", + "keyword": [ + "Activities", + "Collaborative Forest Landscape Restoration", + "Ecosystem Resoration", + "Forest Management", + "Open Data", + "Priority Forest Landscapes", + "US Forest Service", + "Vegetation Mangement", + "environment" + ], + "last_harvested_date": "2026-10-07T22:42:54.557969", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "352b4532-793d-4075-a03f-05b778a3c43a", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png", + "name": "Department of Agriculture", + "organization_type": "Federal Government", + "slug": "usda" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "U.S. Forest Service", + "slug": "integrated-resource-restoration-irr-point-feature-layer", + "spatial_centroid": { + "lat": 42.08346, + "lon": -115.73904 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -119.6122, + 37.4935 + ], + [ + -119.6122, + 48.9684 + ], + [ + -109.9293, + 48.9684 + ], + [ + -109.9293, + 37.4935 + ], + [ + -119.6122, + 37.4935 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Integrated Resource Restoration (IRR): Point (Feature Layer)", + "type": "dataset" + }, + { + "_score": 10.210172, + "_sort": [ + 1791412974227, + 10.210172, + 3, + "72f6916f-cdea-4181-aa89-38b52a38c81c" + ], + "access_level": "public", + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "005:96" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "USFSEnterpriseContent", + "hasEmail": "mailto:SM.FS.data@usda.gov" + }, + "description": "Depicts the locations of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS database. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_StwrdshpCntrctng_PT.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_StewardshipContracting_01/MapServer/1", + "format": "ArcGIS GeoServices REST API", + "mediaType": "application/json", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/f0e260293c644f35aee7206c2533a003/csv?layers=1", + "format": "CSV", + "mediaType": "text/csv", + "title": "CSV" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/f0e260293c644f35aee7206c2533a003/geojson?layers=1", + "format": "GeoJSON", + "mediaType": "application/vnd.geo+json", + "title": "GeoJSON" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/f0e260293c644f35aee7206c2533a003/kml?layers=1", + "format": "KML", + "mediaType": "application/vnd.google-earth.kml+xml", + "title": "KML" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/f0e260293c644f35aee7206c2533a003/shapefile?layers=1", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Shapefile" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/datasets/usfs::stewardship-contracting-point-feature-layer", + "format": "Web Page", + "mediaType": "text/html", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://www.arcgis.com/sharing/rest/content/items/f0e260293c644f35aee7206c2533a003/info/metadata/metadata.xml?format=iso19139", + "conformsTo": "https://www.isotc211.org/2005/gmi", + "mediaType": "text/xml", + "title": "ISO-19139 metadata" + } + ], + "identifier": "https://www.arcgis.com/home/item.html?id=f0e260293c644f35aee7206c2533a003&sublayer=1", + "issued": "2017-05-04", + "keyword": [ + "Activities", + "Forest Management", + "Open Data", + "Recovery", + "Resiliency", + "Safety", + "Stewardship Contracting", + "environment" + ], + "landingPage": "https://data-usfs.hub.arcgis.com/datasets/usfs::stewardship-contracting-point-feature-layer", + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-10-06", + "programCode": [ + "005:059" + ], + "progressCode": "onGoing", + "publisher": { + "name": "U.S. Forest Service", + "source": "U.S. Forest Service" + }, + "spatial": "-122.2413,30.9311,-78.7813,48.6398", + "theme": [ + "geospatial" + ], + "title": "Stewardship Contracting: Point (Feature Layer)" + }, + "description": "Depicts the locations of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS database. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_StwrdshpCntrctng_PT.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution_titles": [ + "ArcGIS GeoService", + "CSV", + "GeoJSON", + "KML", + "Shapefile", + "ArcGIS Hub Dataset", + "ISO-19139 metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/046403f8-2172-4f5b-8d67-cb0db30e8b31", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/046403f8-2172-4f5b-8d67-cb0db30e8b31/raw", + "has_download": false, + "has_spatial": true, + "identifier": "https://www.arcgis.com/home/item.html?id=f0e260293c644f35aee7206c2533a003&sublayer=1", + "keyword": [ + "Activities", + "Forest Management", + "Open Data", + "Recovery", + "Resiliency", + "Safety", + "Stewardship Contracting", + "environment" + ], + "last_harvested_date": "2026-10-07T22:42:54.227486", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "352b4532-793d-4075-a03f-05b778a3c43a", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png", + "name": "Department of Agriculture", + "organization_type": "Federal Government", + "slug": "usda" + }, + "parent_identifier": null, + "popularity": 3, + "publisher": "U.S. Forest Service", + "slug": "stewardship-contracting-point-feature-layer", + "spatial_centroid": { + "lat": 38.01458, + "lon": -104.85729999999998 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -122.2413, + 30.9311 + ], + [ + -122.2413, + 48.6398 + ], + [ + -78.7813, + 48.6398 + ], + [ + -78.7813, + 30.9311 + ], + [ + -122.2413, + 30.9311 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Stewardship Contracting: Point (Feature Layer)", + "type": "dataset" + }, + { + "_score": 9.964192, + "_sort": [ + 1791412974015, + 9.964192, + 2, + "12f7b29b-dff9-45e7-bd42-8b2475a5a1c2" + ], + "access_level": "public", + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "005:96" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "USFSEnterpriseContent", + "hasEmail": "mailto:SM.FS.data@usda.gov" + }, + "description": "Depicts the area of activities to implement the Western Bark Beetle Strategy. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_WBBS_PL.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_WBBS_01/MapServer/3", + "format": "ArcGIS GeoServices REST API", + "mediaType": "application/json", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/5bb2095eae3d40bcb8cc8fec2b4ab099/csv?layers=3", + "format": "CSV", + "mediaType": "text/csv", + "title": "CSV" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/5bb2095eae3d40bcb8cc8fec2b4ab099/geojson?layers=3", + "format": "GeoJSON", + "mediaType": "application/vnd.geo+json", + "title": "GeoJSON" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/5bb2095eae3d40bcb8cc8fec2b4ab099/kml?layers=3", + "format": "KML", + "mediaType": "application/vnd.google-earth.kml+xml", + "title": "KML" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/5bb2095eae3d40bcb8cc8fec2b4ab099/shapefile?layers=3", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Shapefile" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/datasets/usfs::western-bark-beetle-strategy-polygon-feature-layer", + "format": "Web Page", + "mediaType": "text/html", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://www.arcgis.com/sharing/rest/content/items/5bb2095eae3d40bcb8cc8fec2b4ab099/info/metadata/metadata.xml?format=iso19139", + "conformsTo": "https://www.isotc211.org/2005/gmi", + "mediaType": "text/xml", + "title": "ISO-19139 metadata" + } + ], + "identifier": "https://www.arcgis.com/home/item.html?id=5bb2095eae3d40bcb8cc8fec2b4ab099&sublayer=3", + "issued": "2017-05-04", + "keyword": [ + "Beetle", + "Environment", + "FS", + "Forest Management", + "Open Data", + "Strategy", + "USFS", + "WBBS", + "Western Bark", + "activities" + ], + "landingPage": "https://data-usfs.hub.arcgis.com/datasets/usfs::western-bark-beetle-strategy-polygon-feature-layer", + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-10-06", + "programCode": [ + "005:059" + ], + "progressCode": "onGoing", + "publisher": { + "name": "U.S. Forest Service", + "source": "U.S. Forest Service" + }, + "spatial": "-123.5382,32.1153,-103.3123,49.0006", + "theme": [ + "geospatial" + ], + "title": "Western Bark Beetle Strategy: Polygon (Feature Layer)" + }, + "description": "Depicts the area of activities to implement the Western Bark Beetle Strategy. Activities were self-reported by field units, and center around three main objectives: increasing safety to ensure that people and community infrastructure are protected from the hazards of falling bark beetle-killed trees and elevated wildfire potential, facilitating recovery to re-establish forests damaged by bark beetles, and cultivating resiliency to prevent or mitigate future bark beetle impacts. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_WBBS_PL.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution_titles": [ + "ArcGIS GeoService", + "CSV", + "GeoJSON", + "KML", + "Shapefile", + "ArcGIS Hub Dataset", + "ISO-19139 metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/ef4b4651-35b5-4054-82f9-0320fa93a37f", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/ef4b4651-35b5-4054-82f9-0320fa93a37f/raw", + "has_download": false, + "has_spatial": true, + "identifier": "https://www.arcgis.com/home/item.html?id=5bb2095eae3d40bcb8cc8fec2b4ab099&sublayer=3", + "keyword": [ + "Beetle", + "Environment", + "FS", + "Forest Management", + "Open Data", + "Strategy", + "USFS", + "WBBS", + "Western Bark", + "activities" + ], + "last_harvested_date": "2026-10-07T22:42:54.015267", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "352b4532-793d-4075-a03f-05b778a3c43a", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png", + "name": "Department of Agriculture", + "organization_type": "Federal Government", + "slug": "usda" + }, + "parent_identifier": null, + "popularity": 2, + "publisher": "U.S. Forest Service", + "slug": "western-bark-beetle-strategy-polygon-feature-layer", + "spatial_centroid": { + "lat": 38.86942, + "lon": -115.44784 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -123.5382, + 32.1153 + ], + [ + -123.5382, + 49.0006 + ], + [ + -103.3123, + 49.0006 + ], + [ + -103.3123, + 32.1153 + ], + [ + -123.5382, + 32.1153 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Western Bark Beetle Strategy: Polygon (Feature Layer)", + "type": "dataset" + }, + { + "_score": 8.910198, + "_sort": [ + 1791412973803, + 8.910198, + 2, + "448e0009-b494-485f-8a49-0df41e7f3821" + ], + "access_level": "public", + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "005:96" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "USFSEnterpriseContent", + "hasEmail": "mailto:SM.FS.data@usda.gov" + }, + "description": "This layer portrays the area where activities accomplished as a part of the silviculture program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database and are part of the Performance Measures used to rate Agency performance in meeting the Department's Strategic Goals. It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. This layer only represents those activities associated with the performance measure Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). 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It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. This layer only represents those activities associated with the performance measure Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). 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Metadata and Downloads are available at: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributes<br /></div><div><br /></div><div>To download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. 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Metadata and Downloads are available at: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributes<br /></div><div><br /></div><div>To download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. 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Some categories of designated areas may be designated only by statute and some categories may be established administratively in the land management planning process or by other administrative processes of the Federal executive branch. Examples of statutorily designated areas are national heritage areas, national recreational areas, national scenic trails, wilderness areas, and wilderness study areas. Examples of administratively designated areas are experimental forests, research natural areas, scenic byways, botanical areas, and significant caves.\nLand management plan decisions may include recommendations to establish additional designated areas. Some designated areas may be formally designated or established concurrently with a plan decision, while others may not. The term \"designated area\" refers to categories of area or feature established by, or pursuant to, statute, regulation, or policy. Once established the designation continues until a subsequent decision by the appropriate authority removes the designation.\nGenerally, areas that are described in 1909.12, Chapter 20 shall be used in this recommended designated area feature class. The list in Chapter 24, exhibit 01 is not comprehensive. Some plan areas may have unique designations created by special legislation or other administrative action in addition to the types identified in this section. If a land area does not qualify as a designated area or has not been designated, but needs specific guidance, the Responsible Official may identify the area as a management area or as a geographic area to apply specific plan components in the land management plan. Eligible and Suitable Wild and Scenic Rivers will not be used in this recommended designated area feature class.\nThis feature class shows the geospatial extent of each Recommended Designated Area within land management plans, with pertinent metadata and includes data from both the 1982 and 2012 planning rules. This schema can also be used as a template to build data regionally or for individual units.\nIf and when the Recommended Designated Area becomes an official Designated Area then the authoritative data for the Designated Area will be stored in the LSRS designated area layer.\nRecommended Designated Area definition:\nAreas with a single unique special character or purpose designated by statue or administratively through regulation, policy or under the land management planning process.\nCharacteristics:\n- Is labeled as \"recommended\" or \"proposed\" AND a Designation type, regardless of a proper noun (i.e. Recommended Wilderness or Ruby Mountains Recommended Wilderness).\n- Has a single unique special character or purpose and may overlap with different Designated Areas.\n- May overlap with Geographic and Management Areas.\n- Not all LMPs include Recommended Designated Areas. 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Some categories of designated areas may be designated only by statute and some categories may be established administratively in the land management planning process or by other administrative processes of the Federal executive branch. Examples of statutorily designated areas are national heritage areas, national recreational areas, national scenic trails, wilderness areas, and wilderness study areas. Examples of administratively designated areas are experimental forests, research natural areas, scenic byways, botanical areas, and significant caves.\nLand management plan decisions may include recommendations to establish additional designated areas. Some designated areas may be formally designated or established concurrently with a plan decision, while others may not. The term \"designated area\" refers to categories of area or feature established by, or pursuant to, statute, regulation, or policy. Once established the designation continues until a subsequent decision by the appropriate authority removes the designation.\nGenerally, areas that are described in 1909.12, Chapter 20 shall be used in this recommended designated area feature class. The list in Chapter 24, exhibit 01 is not comprehensive. Some plan areas may have unique designations created by special legislation or other administrative action in addition to the types identified in this section. If a land area does not qualify as a designated area or has not been designated, but needs specific guidance, the Responsible Official may identify the area as a management area or as a geographic area to apply specific plan components in the land management plan. 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This schema can also be used as a template to build data regionally or for individual units.\nIf and when the Recommended Designated Area becomes an official Designated Area then the authoritative data for the Designated Area will be stored in the LSRS designated area layer.\nRecommended Designated Area definition:\nAreas with a single unique special character or purpose designated by statue or administratively through regulation, policy or under the land management planning process.\nCharacteristics:\n- Is labeled as \"recommended\" or \"proposed\" AND a Designation type, regardless of a proper noun (i.e. Recommended Wilderness or Ruby Mountains Recommended Wilderness).\n- Has a single unique special character or purpose and may overlap with different Designated Areas.\n- May overlap with Geographic and Management Areas.\n- Not all LMPs include Recommended Designated Areas. 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Every plan must have management areas or geographic areas or both. The 2012 Planning Rule defines geographic areas as “spatially contiguous land areas identified within the planning area. A geographic area may overlap with a management area.” The Forest Service Handbook states that “geographic areas are based on place, while management areas are based on purpose. A typical geographic area map represents large areas that have desired conditions with a range of possible resource management emphases. Rather than a management emphasis map, a geographic area map tends to focus on a place (Red Rock Canyon, Mount Whitney, or perhaps a specific watershed).”\nGeographic Areas have an associated place name naming convention. They are identified in a LMP and are identified with plan components that detail how these areas will be managed. These areas are based on specific “places” and not “themes” like Management Areas. For example, “Hanging Lake Meadow” is a Geographic Area, but a “ski-area” is an example of a Management Area. This feature class shows the geospatial extent of each Geographic Area within land management plans, with pertinent metadata and includes data from both the 1982 and 2012 planning rules. This schema can also be used as a template to build data regionally or for individual units. Characteristics:\n- Based on “place”.\n- Has a different set of plan components than Management Areas.\n- Generally contiguous polygons, but may be a multi-part polygon due to private lands.\n- Polygons must be semi-contiguous and in close proximity.\n- Can overlap with Management Areas or Designated Areas.\n- Do not overlap with other Geographic Areas.\n- Cannot extend outside the land management plan or Administrative Forest Boundary.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_LandManagementPlanning_01/MapServer/1", + "format": "ArcGIS GeoServices REST API", + "mediaType": "application/json", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/6ae769662b07489791936451e870d9d6/csv?layers=1", + "format": "CSV", + "mediaType": "text/csv", + "title": "CSV" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/6ae769662b07489791936451e870d9d6/geojson?layers=1", + "format": "GeoJSON", + "mediaType": "application/vnd.geo+json", + "title": "GeoJSON" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/6ae769662b07489791936451e870d9d6/kml?layers=1", + "format": "KML", + "mediaType": "application/vnd.google-earth.kml+xml", + "title": "KML" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/6ae769662b07489791936451e870d9d6/shapefile?layers=1", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Shapefile" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/datasets/usfs::bdyplan-lmp-geographicarea-3", + "format": "Web Page", + "mediaType": "text/html", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://www.arcgis.com/sharing/rest/content/items/6ae769662b07489791936451e870d9d6/info/metadata/metadata.xml?format=iso19139", + "conformsTo": "https://www.isotc211.org/2005/gmi", + "mediaType": "text/xml", + "title": "ISO-19139 metadata" + } + ], + "identifier": "https://www.arcgis.com/home/item.html?id=6ae769662b07489791936451e870d9d6&sublayer=1", + "issued": "2026-09-17", + "keyword": [ + "Forest Plan", + "Forest Plan", + "Geographic Areas", + "Geographic Areas", + "Land Management Plan", + "Land Management Plan", + "Land and Resource Management Plan", + "Land and Resource Management Plan", + "Open Data", + "Open Data", + "Planning", + "Planning", + "boundaries", + "boundaries", + "environment", + "environment", + "planningCadastre", + "planningCadastre" + ], + "landingPage": "https://data-usfs.hub.arcgis.com/datasets/usfs::bdyplan-lmp-geographicarea-3", + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-09-27", + "programCode": [ + "005:059" + ], + "progressCode": "onGoing", + "publisher": { + "name": "U.S. Forest Service", + "source": "U.S. Forest Service" + }, + "spatial": "-150.0079,31.3323,-79.0422,61.5190", + "theme": [ + "geospatial" + ], + "title": "BdyPlan LMP GeographicArea" + }, + "description": "Contextual Definition of Geographic Areas:\nIt is required for every National Forest to have a Land Management Plan (LMP), often referred to as a Forest Plan. Every plan must have management areas or geographic areas or both. The 2012 Planning Rule defines geographic areas as “spatially contiguous land areas identified within the planning area. A geographic area may overlap with a management area.” The Forest Service Handbook states that “geographic areas are based on place, while management areas are based on purpose. A typical geographic area map represents large areas that have desired conditions with a range of possible resource management emphases. Rather than a management emphasis map, a geographic area map tends to focus on a place (Red Rock Canyon, Mount Whitney, or perhaps a specific watershed).”\nGeographic Areas have an associated place name naming convention. They are identified in a LMP and are identified with plan components that detail how these areas will be managed. These areas are based on specific “places” and not “themes” like Management Areas. For example, “Hanging Lake Meadow” is a Geographic Area, but a “ski-area” is an example of a Management Area. This feature class shows the geospatial extent of each Geographic Area within land management plans, with pertinent metadata and includes data from both the 1982 and 2012 planning rules. This schema can also be used as a template to build data regionally or for individual units. 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This information is the descriptive and qualitative information used to set appropriate expectations for visitor use.</SPAN></P></DIV></DIV></DIV>", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RecInfraRecreationSites_02/MapServer/0", + "format": "ArcGIS GeoServices REST API", + "mediaType": "application/json", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/84b9f46debfa4694950ad42175e82ff8/csv?layers=0", + "format": "CSV", + "mediaType": "text/csv", + "title": "CSV" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/84b9f46debfa4694950ad42175e82ff8/geojson?layers=0", + "format": "GeoJSON", + "mediaType": "application/vnd.geo+json", + "title": "GeoJSON" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/84b9f46debfa4694950ad42175e82ff8/kml?layers=0", + "format": "KML", + "mediaType": "application/vnd.google-earth.kml+xml", + "title": "KML" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/84b9f46debfa4694950ad42175e82ff8/shapefile?layers=0", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Shapefile" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/datasets/usfs::rec-infra-recreationsite", + "format": "Web Page", + "mediaType": "text/html", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://www.arcgis.com/sharing/rest/content/items/84b9f46debfa4694950ad42175e82ff8/info/metadata/metadata.xml?format=iso19139", + "conformsTo": "https://www.isotc211.org/2005/gmi", + "mediaType": "text/xml", + "title": "ISO-19139 metadata" + } + ], + "identifier": "https://www.arcgis.com/home/item.html?id=84b9f46debfa4694950ad42175e82ff8&sublayer=0", + "issued": "2026-09-03", + "keyword": [ + "Open Data", + "Recreation", + "environment" + ], + "landingPage": "https://data-usfs.hub.arcgis.com/datasets/usfs::rec-infra-recreationsite", + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-09-27", + "programCode": [ + "005:059" + ], + "progressCode": "onGoing", + "publisher": { + "name": "U.S. Forest Service", + "source": "USDA Forest Service" + }, + "spatial": "-162.1793,-48.6752,120.6461,61.1379", + "theme": [ + "geospatial" + ], + "title": "Rec INFRA RecreationSite" + }, + "description": "<DIV STYLE=\"text-align:Left;\"><DIV><DIV><P><SPAN>This dataset shows information about the USDA Forest Service recreation sites used to populate the public facing web pages. This information is the descriptive and qualitative information used to set appropriate expectations for visitor use.</SPAN></P></DIV></DIV></DIV>", + "distribution_titles": [ + "ArcGIS GeoService", + "CSV", + "GeoJSON", + "KML", + "Shapefile", + "ArcGIS Hub Dataset", + "ISO-19139 metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/753d27f4-93d0-4df8-b17e-fc01199cf132", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/753d27f4-93d0-4df8-b17e-fc01199cf132/raw", + "has_download": false, + "has_spatial": true, + "identifier": "https://www.arcgis.com/home/item.html?id=84b9f46debfa4694950ad42175e82ff8&sublayer=0", + "keyword": [ + "Open Data", + "Recreation", + "environment" + ], + "last_harvested_date": "2026-10-07T22:42:29.008382", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "352b4532-793d-4075-a03f-05b778a3c43a", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png", + "name": "Department of Agriculture", + "organization_type": "Federal Government", + "slug": "usda" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "U.S. Forest Service", + "slug": "rec-infra-recreationsite", + "spatial_centroid": { + "lat": -4.749959999999997, + "lon": -49.04914000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -162.1793, + -48.6752 + ], + [ + -162.1793, + 61.1379 + ], + [ + 120.6461, + 61.1379 + ], + [ + 120.6461, + -48.6752 + ], + [ + -162.1793, + -48.6752 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Rec INFRA RecreationSite", + "type": "dataset" + }, + { + "_score": 10.768448, + "_sort": [ + 1791412943468, + 10.768448, + 1, + "1bfd56b2-c4cd-4ce2-b2a5-f667ea04bb47" + ], + "access_level": "public", + "dcat": { + "@type": "dcat:Dataset", + "accessLevel": "public", + "bureauCode": [ + "005:96" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "USFSEnterpriseContent", + "hasEmail": "mailto:SM.FS.data@usda.gov" + }, + "description": "The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information aboutactivities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents Collaborative Forest Landscape Restoration (CFLR) Program project activities. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_CFLRP_PT.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/2", + "format": "ArcGIS GeoServices REST API", + "mediaType": "application/json", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/b5d77a243f984511a22e7377479cca41/csv?layers=2", + "format": "CSV", + "mediaType": "text/csv", + "title": "CSV" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/b5d77a243f984511a22e7377479cca41/geojson?layers=2", + "format": "GeoJSON", + "mediaType": "application/vnd.geo+json", + "title": "GeoJSON" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/b5d77a243f984511a22e7377479cca41/kml?layers=2", + "format": "KML", + "mediaType": "application/vnd.google-earth.kml+xml", + "title": "KML" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/api/download/v1/items/b5d77a243f984511a22e7377479cca41/shapefile?layers=2", + "format": "ZIP", + "mediaType": "application/zip", + "title": "Shapefile" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://data-usfs.hub.arcgis.com/datasets/usfs::collaborative-forest-landscape-restoration-program-point-feature-layer", + "format": "Web Page", + "mediaType": "text/html", + "title": "ArcGIS Hub Dataset" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://www.arcgis.com/sharing/rest/content/items/b5d77a243f984511a22e7377479cca41/info/metadata/metadata.xml?format=iso19139", + "conformsTo": "https://www.isotc211.org/2005/gmi", + "mediaType": "text/xml", + "title": "ISO-19139 metadata" + } + ], + "identifier": "https://www.arcgis.com/home/item.html?id=b5d77a243f984511a22e7377479cca41&sublayer=2", + "issued": "2017-03-27", + "keyword": [ + "CFLR", + "Environment", + "HRP", + "Lands and Realty", + "Open Data" + ], + "landingPage": "https://data-usfs.hub.arcgis.com/datasets/usfs::collaborative-forest-landscape-restoration-program-point-feature-layer", + "license": "https://creativecommons.org/licenses/by/4.0/", + "modified": "2026-10-05", + "programCode": [ + "005:059" + ], + "progressCode": "onGoing", + "publisher": { + "name": "U.S. Forest Service", + "source": "U.S. Forest Service" + }, + "spatial": "-121.7047,30.9311,-88.8414,47.9465", + "theme": [ + "geospatial" + ], + "title": "Collaborative Forest Landscape Restoration Program: Point (Feature Layer)" + }, + "description": "The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information aboutactivities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents Collaborative Forest Landscape Restoration (CFLR) Program project activities. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_CFLRP_PT.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>", + "distribution_titles": [ + "ArcGIS GeoService", + "CSV", + "GeoJSON", + "KML", + "Shapefile", + "ArcGIS Hub Dataset", + "ISO-19139 metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/4cb91cea-c228-4278-af11-e1259b283e96", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4cb91cea-c228-4278-af11-e1259b283e96/raw", + "has_download": false, + "has_spatial": true, + "identifier": "https://www.arcgis.com/home/item.html?id=b5d77a243f984511a22e7377479cca41&sublayer=2", + "keyword": [ + "CFLR", + "Environment", + "HRP", + "Lands and Realty", + "Open Data" + ], + "last_harvested_date": "2026-10-07T22:42:23.468480", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "352b4532-793d-4075-a03f-05b778a3c43a", + "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png", + "name": "Department of Agriculture", + "organization_type": "Federal Government", + "slug": "usda" + }, + "parent_identifier": null, + "popularity": 1, + "publisher": "U.S. Forest Service", + "slug": "collaborative-forest-landscape-restoration-program-point-feature-layer", + "spatial_centroid": { + "lat": 37.737260000000006, + "lon": -108.55938 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -121.7047, + 30.9311 + ], + [ + -121.7047, + 47.9465 + ], + [ + -88.8414, + 47.9465 + ], + [ + -88.8414, + 30.9311 + ], + [ + -121.7047, + 30.9311 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Collaborative Forest Landscape Restoration Program: Point (Feature Layer)", + "type": "dataset" + }, + { + "_score": 3.0138807, + "_sort": [ + 1791410028236, + 3.0138807, + 0, + "2c1c61b9-bee1-492e-870b-1be63a7b7beb" ], "access_level": "public", "dcat": { "accessLevel": "public", - "bureauCode": [ - "010:12" - ], "contactPoint": { "@type": "vcard:Contact", - "fn": "U.S. Geological Survey", - "hasEmail": "mailto:whsc_data_contact@usgs.gov" - }, - "description": "Geospatial data that is a derivative land cover product depicting woodland on topographic maps.", + "fn": "OSMRE Geospatial Information Services Branch (Point of Contact)", + "hasEmail": "mailto:gis@osmre.gov" + }, + "description": "This layer displays the counties where award-winning AML projects are located along with information about the projects. Since project locations are not always known exactly, or may be near private residences, exact locations are not provided. This layer was created using information from OSMRE's website and joining it to US county boundaries. Agencies responsible for the reclamation projects are listed when known; the quality of the data improves after 1998. When available, hyperlinks to project descriptions and videos are included as well, generally for projects within the last 10 years.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://www.usgs.gov/the-national-map-data-delivery", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.ea931b2b-ad6c-4ad3-bec7-e991b0081106.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/OSMRE_AML_Awards/MapServer", + "description": "ArcGIS GeoServices REST API", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/OSMRE_AML_Awards/MapServer/0/metadata?format=iso19139", + "format": "xml", + "title": "ISO-19139 Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_ea931b2b-ad6c-4ad3-bec7-e991b0081106", - "keyword": [ - "Agricultural land", - "Barren land", - "FileGDB 10.0", - "Forest land", - "Land Cover - Woodland", - "Not Classified", - "Orthoimage", - "Range land", - "State", - "US", - "USGS:ea931b2b-ad6c-4ad3-bec7-e991b0081106", - "United States", - "Urban and built-up land", - "Water", - "Wetland", - "Woodland", - "annotations", - "biota", - "ecology", - "environment", - "farming", - "flora", - "habitat", - "imagery", - "imageryBaseMapsEarthCover", - "land cover" - ], - "modified": "2025-02-11T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/ee4c536c-c2aa-40dd-a0f9-9a5f4da3df0c", + "issued": "2022-03-07T12:00:00Z", + "keyword": [ + "AML", + "AML Awards", + "Abandoned Mine Lands", + "Geospatial", + "OSMRE", + "coal", + "coal mining", + "coalmine", + "surface mine" + ], + "landingPage": "https://www.osmre.gov/programs/abandoned-mine-land-awards-program", + "language": [ + "en-US" + ], + "modified": "2026-10-06T14:59:47-06:00", "publisher": { "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-179.2297, -14.4247, 179.8567, 71.4396", - "theme": [ + "name": "Office of Surface Mining, Reclamation and Enforcement" + }, + "spatial": "-152.997671,28.056905,-75.44066,64.358216", + "theme": [ + "Environment", + "Geoscientific Information", "geospatial" ], - "title": "USGS Land Cover - Woodland Downloadable Data Collection" - }, - "description": "Geospatial data that is a derivative land cover product depicting woodland on topographic maps.", + "title": "OSMRE Abandoned Mine Land Award-Winning Projects" + }, + "description": "This layer displays the counties where award-winning AML projects are located along with information about the projects. Since project locations are not always known exactly, or may be near private residences, exact locations are not provided. This layer was created using information from OSMRE's website and joining it to US county boundaries. Agencies responsible for the reclamation projects are listed when known; the quality of the data improves after 1998. When available, hyperlinks to project descriptions and videos are included as well, generally for projects within the last 10 years.", "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/68ae016b-f7c8-4e73-93b5-7788e2fad425", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/68ae016b-f7c8-4e73-93b5-7788e2fad425/raw", - "has_download": true, + "ArcGIS GeoService", + "ISO-19139 Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/f9be8082-73a4-45b9-ac1f-6788173d7cf9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/f9be8082-73a4-45b9-ac1f-6788173d7cf9/raw", + "has_download": false, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_ea931b2b-ad6c-4ad3-bec7-e991b0081106", - "keyword": [ - "Agricultural land", - "Barren land", - "FileGDB 10.0", - "Forest land", - "Land Cover - Woodland", - "Not Classified", - "Orthoimage", - "Range land", - "State", - "US", - "USGS:ea931b2b-ad6c-4ad3-bec7-e991b0081106", - "United States", - "Urban and built-up land", - "Water", - "Wetland", - "Woodland", - "annotations", - "biota", - "ecology", - "environment", - "farming", - "flora", - "habitat", - "imagery", - "imageryBaseMapsEarthCover", - "land cover" - ], - "last_harvested_date": "2026-10-07T04:03:00.440717", + "identifier": "http://datainventory.doi.gov/id/dataset/ee4c536c-c2aa-40dd-a0f9-9a5f4da3df0c", + "keyword": [ + "AML", + "AML Awards", + "Abandoned Mine Lands", + "Geospatial", + "OSMRE", + "coal", + "coal mining", + "coalmine", + "surface mine" + ], + "last_harvested_date": "2026-10-07T21:53:48.236684", "organization": { "aliases": [ "dept" @@ -132,139 +3540,138 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 7, - "publisher": "U.S. Geological Survey", - "slug": "usgs-land-cover-woodland-downloadable-data-collection", + "popularity": 0, + "publisher": "Office of Surface Mining, Reclamation and Enforcement", + "slug": "osmre-abandoned-mine-land-award-winning-projects", "spatial_centroid": { - "lat": 19.92102, - "lon": -35.59514000000001 + "lat": 42.5774294, + "lon": -121.9748666 }, "spatial_shape": { "coordinates": [ [ [ - -179.2297, - -14.4247 - ], - [ - -179.2297, - 71.4396 - ], - [ - 179.8567, - 71.4396 - ], - [ - 179.8567, - -14.4247 - ], - [ - -179.2297, - -14.4247 + -152.997671, + 28.056905 + ], + [ + -152.997671, + 64.358216 + ], + [ + -75.44066, + 64.358216 + ], + [ + -75.44066, + 28.056905 + ], + [ + -152.997671, + 28.056905 ] ] ], "type": "Polygon" }, "theme": [ + "Environment", + "Geoscientific Information", "geospatial" ], - "title": "USGS Land Cover - Woodland Downloadable Data Collection", + "title": "OSMRE Abandoned Mine Land Award-Winning Projects", "type": "dataset" }, { - "_score": 8.786447, + "_score": 2.520958, "_sort": [ - 1791342628978, - 8.786447, - 3, - "d5510ca0-8b5e-416f-bcbf-e3c284305059" + 1791410028046, + 2.520958, + 4, + "b7b9df31-2f98-458a-bfaa-8764564a7bde" ], "access_level": "public", "dcat": { "accessLevel": "public", - "bureauCode": [ - "010:12" - ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Richard B. Moore", - "hasEmail": "mailto:rmoore@usgs.gov" - }, - "description": "Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to \nDivide (DSD) and Lateral Position (LP) have been produced nationally for the 48 \ncontiguous United States at a 30-meter resolution for stream orders 1 through 9. \nThese data are available for testing as predictor variables for various regional and \nnational groundwater-flow and groundwater-quality statistical models. \n\t \nThe concept behind MOHP is that for any given point on the earth’s surface there \nis the potential for longer and longer groundwater flow paths as one goes deeper \nand deeper beneath the land surface. These increasing depths correspond to \nincreasing stream orders. Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order. \n\t \nDSD – Raster – Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t \nLP – Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. There are 9 \nrasters for streams orders 1 through 9.\n\t \nCombined, these two factors, DSD and LP, provide a measure or description of \npotential distance of groundwater flow to any location along the groundwater flow \npath.", + "fn": "OSMRE Geospatial Information Services Branch (Point of Contact)", + "hasEmail": "mailto:gis@osmre.gov" + }, + "description": "As described by ASTM D7780-12: This feature class contains polygons that depict post mining land use for a reclaimed Coal Mining Operation. This dataset consists of coalmining related features as described by ASTM D7780-12, \"Standard Practice for Geospatial Data for Representing Coal Mining Features\". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.", "distribution": [ { "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/P9ST73KV", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.72bead86-13ef-47b8-9f0c-910061a33c37.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/PostMiningLandUse/MapServer", + "description": "ArcGIS GeoServices REST API", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/PostMiningLandUse/MapServer/0/metadata?format=iso19139", + "format": "xml", + "title": "ISO-19139 Metadata" } ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_72bead86-13ef-47b8-9f0c-910061a33c37", - "keyword": [ - "Canada", - "Cycle 3", - "Groundwater", - "Hydrologic Position", - "Mexico", - "NAWQA", - "National Rasters", - "Statistical Predictors", - "USGS:72bead86-13ef-47b8-9f0c-910061a33c37", - "United States", - "Water Quality", - "environment", - "geoscientificInformation", - "inlandWaters" - ], - "modified": "2025-08-05T00:00:00Z", + "identifier": "http://datainventory.doi.gov/id/dataset/9669b802-86b7-469f-97c6-a060ddddba6e", + "issued": "2020-01-08T12:00:00Z", + "keyword": [ + "GeoMine", + "Geospatial", + "OSMRE", + "coal", + "coal mine", + "coal mining", + "coalmine", + "coalmining", + "permit boundaries", + "permits", + "permitting", + "surface mine" + ], + "landingPage": "https://www.osmre.gov/programs/technical-innovation-and-professional-services/services", + "language": [ + "en-US" + ], + "modified": "2026-10-06T15:00:16-06:00", "publisher": { "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-127.8572, 23.2444, -65.3748, 51.5121", - "theme": [ + "name": "Office of Surface Mining, Reclamation and Enforcement" + }, + "spatial": "-122.884782,27.6222,-79.049896,47.482557", + "theme": [ + "Boundaries", + "Environment", + "Geoscientific Information", "geospatial" ], - "title": "National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling" - }, - "description": "Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to \nDivide (DSD) and Lateral Position (LP) have been produced nationally for the 48 \ncontiguous United States at a 30-meter resolution for stream orders 1 through 9. \nThese data are available for testing as predictor variables for various regional and \nnational groundwater-flow and groundwater-quality statistical models. \n\t \nThe concept behind MOHP is that for any given point on the earth’s surface there \nis the potential for longer and longer groundwater flow paths as one goes deeper \nand deeper beneath the land surface. These increasing depths correspond to \nincreasing stream orders. Or in other words, with increasing depth these paths \nof groundwater flow travel further from divides to point of discharge which are to \nincreasingly larger streams of higher stream order. \n\t \nDSD – Raster – Distance from Stream to Divide (DSD) rasters have cell values \nequal to the sum of the shortest distance to the stream or associated waterbody \nplus the shortest distance to the matching Thiessen divide. There are 9 rasters \nfor streams orders 1 through 9. Units are in meters.\n\t \nLP – Raster -- the lateral position (LP) raster has cell values equal to the shortest \ndistance to the stream or associated waterbody divided by the DSD. There are 9 \nrasters for streams orders 1 through 9.\n\t \nCombined, these two factors, DSD and LP, provide a measure or description of \npotential distance of groundwater flow to any location along the groundwater flow \npath.", + "title": "Post-Mining Land Use Designations at Coal Mining Operations" + }, + "description": "As described by ASTM D7780-12: This feature class contains polygons that depict post mining land use for a reclaimed Coal Mining Operation. This dataset consists of coalmining related features as described by ASTM D7780-12, \"Standard Practice for Geospatial Data for Representing Coal Mining Features\". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.", "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/420ab6f8-4983-4a08-8940-6321b071c60e", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/420ab6f8-4983-4a08-8940-6321b071c60e/raw", - "has_download": true, + "ArcGIS GeoService", + "ISO-19139 Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/e87a282e-0092-404d-9492-3425095921c5", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/e87a282e-0092-404d-9492-3425095921c5/raw", + "has_download": false, "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_72bead86-13ef-47b8-9f0c-910061a33c37", - "keyword": [ - "Canada", - "Cycle 3", - "Groundwater", - "Hydrologic Position", - "Mexico", - "NAWQA", - "National Rasters", - "Statistical Predictors", - "USGS:72bead86-13ef-47b8-9f0c-910061a33c37", - "United States", - "Water Quality", - "environment", - "geoscientificInformation", - "inlandWaters" - ], - "last_harvested_date": "2026-10-07T03:10:28.978613", + "identifier": "http://datainventory.doi.gov/id/dataset/9669b802-86b7-469f-97c6-a060ddddba6e", + "keyword": [ + "GeoMine", + "Geospatial", + "OSMRE", + "coal", + "coal mine", + "coal mining", + "coalmine", + "coalmining", + "permit boundaries", + "permits", + "permitting", + "surface mine" + ], + "last_harvested_date": "2026-10-07T21:53:48.046981", "organization": { "aliases": [ "dept" @@ -279,4663 +3686,3253 @@ "slug": "doi" }, "parent_identifier": null, - "popularity": 3, - "publisher": "U.S. Geological Survey", - "slug": "national-multi-order-hydrologic-position-mohp-high-resolution-predictor-data-for-groundwat", + "popularity": 4, + "publisher": "Office of Surface Mining, Reclamation and Enforcement", + "slug": "post-mining-land-use-designations-at-coal-mining-operations", "spatial_centroid": { - "lat": 34.55148, - "lon": -102.86424 + "lat": 35.5663428, + "lon": -105.3508276 }, "spatial_shape": { "coordinates": [ [ [ - -127.8572, - 23.2444 - ], - [ - -127.8572, - 51.5121 - ], - [ - -65.3748, - 51.5121 - ], - [ - -65.3748, - 23.2444 - ], - [ - -127.8572, - 23.2444 + -122.884782, + 27.6222 + ], + [ + -122.884782, + 47.482557 + ], + [ + -79.049896, + 47.482557 + ], + [ + -79.049896, + 27.6222 + ], + [ + -122.884782, + 27.6222 ] ] ], "type": "Polygon" }, "theme": [ + "Boundaries", + "Environment", + "Geoscientific Information", "geospatial" ], - "title": "National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling", + "title": "Post-Mining Land Use Designations at Coal Mining Operations", "type": "dataset" }, { - "_score": 12.869202, + "_score": 2.5623035, "_sort": [ - 1791334996184, - 12.869202, - 2, - "d68d6dc4-846c-40f7-9aab-a0ce4a510dc6" + 1791410027838, + 2.5623035, + 4, + "89f1e29a-049a-4c48-8c30-f282f3e61160" ], "access_level": "public", "dcat": { - "@type": "dcat:Dataset", "accessLevel": "public", - "bureauCode": [ - "026:00" - ], "contactPoint": { "@type": "vcard:Contact", - "fn": "J. WINNINGHAM", - "hasEmail": "mailto:dwinningham@swri.edu" - }, - "description": "The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 1 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS1 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS1 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS1 pixels mounted in the AXIS1 housing, each viewing different directions. The AXIS1 pixels are aligned on the spacecraft to project about 45 degrees toward the +x-axis direction from the Earthward pointing direction (+z-axis). Each pixel of AXIS1 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS1 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS1 product ranges between -80 and +80 degrees latitude. The AXIS1 data files are written in network binary format. For more information please review the PEM AXIS1 data format guide.", + "fn": "OSMRE Geospatial Information Services Branch (Point of Contact)", + "hasEmail": "mailto:gis@osmre.gov" + }, + "description": "As described by ASTM D7780-12: This feature class contains polygons depicting boundaries of surface Coal Mining Operations and surface disturbance due to underground Coal Mining Operations. This dataset consists of coalmining related features as described by ASTM D7780-12, \"Standard Practice for Geospatial Data for Representing Coal Mining Features\". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.", "distribution": [ { "@type": "dcat:Distribution", - "description": "Access the data via HTTPS.", - "downloadURL": "https://acdisc.gesdisc.eosdis.nasa.gov/data/UARS_PEM_Level_2/UARPE2AXIS1/", - "format": "HTML", - "mediaType": "text/html", - "title": "Download this dataset through a directory map" - }, - { - "@type": "dcat:Distribution", - "description": "Access the dataset landing page from the GES DISC website.", - "downloadURL": "https://disc.gsfc.nasa.gov/datacollection/UARPE2AXIS1_001.html", - "format": "HTML", - "mediaType": "text/html", - "title": "This dataset's landing page" - }, - { - "@type": "dcat:Distribution", - "description": "The UARS Project Homepage.", - "downloadURL": "https://uars.gsfc.nasa.gov/", - "format": "HTML", - "mediaType": "text/html", - "title": "The dataset's project home page" - }, - { - "@type": "dcat:Distribution", - "description": "Use the Earthdata Search to find and retrieve data sets across multiple data centers.", - "downloadURL": "https://search.earthdata.nasa.gov/search?q=UARPE2AXIS1", - "format": "HTML", - "mediaType": "text/html", - "title": "Download this dataset through Earthdata Search" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/UARPE2AXIS1_001.png", - "format": "PNG", - "mediaType": "image/png", - "title": "Get a related visualization" + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/AllCoalmineOperations/MapServer", + "description": "ArcGIS GeoServices REST API", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/AllCoalmineOperations/MapServer/0/metadata?format=iso19139", + "format": "xml", + "title": "ISO-19139 Metadata" } ], - "identifier": "C1273348592-GES_DISC", - "issued": "2006-04-20", - "keyword": [ - "earth-science", - "solar-energetic-particle-flux", - "sun-earth-interactions" - ], - "landingPage": "https://cmr.earthdata.nasa.gov:443/search/concepts/C1273348592-GES_DISC.html", + "identifier": "http://datainventory.doi.gov/id/dataset/54c42c2f-5296-426a-9179-d7e51a49c7d0", + "issued": "2020-01-08T12:00:00Z", + "keyword": [ + "Downloadable Data", + "GeoMine", + "Geospatial", + "coal mine", + "coal mining", + "coalmine", + "coalmining", + "permit boundaries", + "permits", + "permitting", + "surface mine" + ], + "landingPage": "https://www.osmre.gov/programs/technical-innovation-and-professional-services/services", "language": [ "en-US" ], - "modified": "2025-03-31", - "programCode": [ - "026:001" - ], + "modified": "2026-10-06T14:32:22-06:00", "publisher": { "@type": "org:Organization", - "name": "NASA/GSFC/SED/ESD/GCDC/GESDISC" - }, - "spatial": "-180.0 -80.0 180.0 80.0", - "temporal": "1991-09-30T00:00:00Z/2005-03-08T23:59:59.999Z", - "theme": [ - "UARS", + "name": "Office of Surface Mining, Reclamation and Enforcement" + }, + "spatial": "-151.669294,27.622166,-72.201573,64.014275", + "theme": [ + "Boundaries", + "Environment", + "Geoscientific Information", "geospatial" ], - "title": "UARS PEM Level 2 AXIS 1 V001 (UARPE2AXIS1) at GES DISC" - }, - "description": "The UARS Particle Environment Monitor (PEM) level 2 Atmosphere X-Ray Imaging Spectrometer (AXIS) unit 1 daily product contains the X-ray high-resolution spectral data converted to number intensity units from the AXIS1 pixels mounted on the UARS body. PEM was flown on the UARS spacecraft to measure the type, amount, energy, and distribution of charged particles injected into the Earth's thermosphere, mesosphere, and stratosphere.\n\nThe PEM AXIS1 X-ray data cover roughly the energy range from 2 keV to 300 keV. There are eight AXIS1 pixels mounted in the AXIS1 housing, each viewing different directions. The AXIS1 pixels are aligned on the spacecraft to project about 45 degrees toward the +x-axis direction from the Earthward pointing direction (+z-axis). Each pixel of AXIS1 is staggered about the 45 degree direction in an every-other fashion. Pixel 1 is closest to the center line of the spacecraft and Pixel 8 is furtherest away; however, their ground projection is dependent on the spacecraft orientation.\n\nThere is one data file per day for the PEM AXIS1 product, and the temporal coverage is from Oct. 1, 1991 to Aug. 23, 2005. Spatial coverage for the AXIS1 product ranges between -80 and +80 degrees latitude. The AXIS1 data files are written in network binary format. For more information please review the PEM AXIS1 data format guide.", + "title": "Surface Coal Mine Operation Permit Boundaries" + }, + "description": "As described by ASTM D7780-12: This feature class contains polygons depicting boundaries of surface Coal Mining Operations and surface disturbance due to underground Coal Mining Operations. This dataset consists of coalmining related features as described by ASTM D7780-12, \"Standard Practice for Geospatial Data for Representing Coal Mining Features\". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. 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However adaptation to the space environment can sometimes pose physiological problems to the astronauts after their return. Therefore it is important to develop healthcare technologies for astronauts. In this study hair an easy-to-obtain sample was identified as the candidate. In order to investigate the genetic changes in human hair during space flight the hair follicles of 10 astronauts were analyzed by DNA microarray and real time q-PCR analyses. Space environment induced gene expression of hair follicles of astronaut was measured 6 differnent times included 2 in flight on orbit. Ten independent experiments were performed on differing astronauts. and the sampling day was differed for each astronaut because of their schedules.", + "fn": "OSMRE National Mine Map Repository (Point of Contact)", + "hasEmail": "mailto:gis@osmre.gov" + }, + "description": "The National Mine Map Repository (NMMR) maintains point locations for mines appearing on maps within its archive. 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The mission of the NMMR is to preserve abandoned mine maps, to correlate those maps to the surface topography, and to provide the public with quality map products and services. It serves as a point of reference for maps and other information on surface and underground coal, metal, and non-metal mines from throughout the United States. It also serves as a location to retrieve mine maps in an emergency. Some of the information that can be found in the repository includes: Mine and company names, Mine plans including mains, rooms, and pillars, Man-ways, shafts, and mine surface openings. Geological information such as coal bed names, bed thicknesses, bed depths and elevations, bed outcrops, drill-hole data, cross-sections, stratigraphic columns, and mineral assays. Geographical information including historic railroad lines, roads, coal towns, surface facilities and structures, ponds, streams, and property survey lines, gas well and drill-hole locations. Please note: Map images are not available for download from this dataset. They can be requested by contacting NMMR staff and providing them with the desired Document Numbers. NMMR staff also have additional search capabilities and can fulfill more complex requests if necessary. See the NMMR website homepage for contact information: https://www.osmre.gov/programs/national-mine-map-repository. There is no charge for noncommercial use of the maps. 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However adaptation to the space environment can sometimes pose physiological problems to the astronauts after their return. Therefore it is important to develop healthcare technologies for astronauts. In this study hair an easy-to-obtain sample was identified as the candidate. In order to investigate the genetic changes in human hair during space flight the hair follicles of 10 astronauts were analyzed by DNA microarray and real time q-PCR analyses. Space environment induced gene expression of hair follicles of astronaut was measured 6 differnent times included 2 in flight on orbit. Ten independent experiments were performed on differing astronauts. and the sampling day was differed for each astronaut because of their schedules.", + "name": "Office of Surface Mining, Reclamation and Enforcement" + }, + "spatial": "-177.4551,-89.99997,177.9465,83.87056", + "theme": [ + "Environment", + "Geoscientific Information", + "Location", + "geospatial" + ], + "title": "National Mine Map Repository Mine Locations" + }, + "description": "The National Mine Map Repository (NMMR) maintains point locations for mines appearing on maps within its archive. This dataset is intended to help connect the Office of Surface Mining Reclamation and Enforcement, other federal, state, and local government agencies, private industry, and the general public with archived mine maps in the NMMR's collection. The coordinates for mine point locations represent the best information the NMMR has for the location of the mine. As much as possible, the NMMR strives to find precise locations for all historic mines appearing on mine maps. When this is not possible, another feature as close to the mine as is known is used. This information is reflected in the mine point symbols. However, the NMMR cannot guarantee the accuracy of mine point locations or any other information on or derived from mine maps. The NMMR is part of the United States Department of the Interior, Office of Surface Mining Reclamation and Enforcement (OSMRE). The mission of the NMMR is to preserve abandoned mine maps, to correlate those maps to the surface topography, and to provide the public with quality map products and services. It serves as a point of reference for maps and other information on surface and underground coal, metal, and non-metal mines from throughout the United States. It also serves as a location to retrieve mine maps in an emergency. Some of the information that can be found in the repository includes: Mine and company names, Mine plans including mains, rooms, and pillars, Man-ways, shafts, and mine surface openings. Geological information such as coal bed names, bed thicknesses, bed depths and elevations, bed outcrops, drill-hole data, cross-sections, stratigraphic columns, and mineral assays. Geographical information including historic railroad lines, roads, coal towns, surface facilities and structures, ponds, streams, and property survey lines, gas well and drill-hole locations. Please note: Map images are not available for download from this dataset. They can be requested by contacting NMMR staff and providing them with the desired Document Numbers. NMMR staff also have additional search capabilities and can fulfill more complex requests if necessary. See the NMMR website homepage for contact information: https://www.osmre.gov/programs/national-mine-map-repository. There is no charge for noncommercial use of the maps. 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RNA-Seq was used to define the large-scale gene expression profiles of Mizuna harvested after 27 days cultivation in the international space station to understand the molecular response and adaptation to space environment.Results: Total reads of transcripts from the Mizuna grown in the international space station as well as on the ground by RNA-Seq using next generation sequencing technology showed 8,258 and 14,170 transcripts up- and down-regulated in the space-grown Mizuna respectively when compared with those from the ground-grown Mizuna. A total of 20 in 32 ROS oxidative marker genes were up-regulated including high expression of 4 hallmarks and preferentially expressed gene associated with ROS-scavenging genes was thioredoxin glutaredoxin and alternative oxidase genes. In the transcription factors of ROS gene network MEKK1-MKK4-MPK3 OXI1-MKK4-MPK3 and OXI1-MPK3 of MAP cascades induction of WRKY22 by MEKK1-MKK4-MPK3 cascade induction of WRKY25 and repression of ZAT7 by Zat12 were suggested. RbohD and RbohF genes were up-regulated preferentially in NADPH oxidase genes which produce ROS.Conclusions: Our large-scale transcriptome analysis demonstrated that the space environment induced oxidative stress and ROS gene network was activated in the space-grown Mizuna some of which were common genes up-regulated by abiotic and biotic stress and were preferentially up-regulated genes by the space environment even though Mizuna grew in the space as well as on the ground showing that plants could acclimate to the space environment by reprograming the expression of ROS gene network.", + "fn": "OSMRE Geospatial Information Services Branch (Point of Contact)", + "hasEmail": "mailto:gis@osmre.gov" + }, + "description": "As described by ASTM: D7780-12: This feature class contains points that depict the location of coal preparation plants on a given Coal Mining Operation. This dataset consists of coalmining related features as described by ASTM D7780-12, \"Standard Practice for Geospatial Data for Representing Coal Mining Features\". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.", "distribution": [ { "@type": "dcat:Distribution", - "description": "GeneLab Study Page", - "downloadURL": "https://genelab-data.ndc.nasa.gov/genelab/accession/GLDS-59", - "format": "HTML", - "mediaType": "text/html", - "title": "RNA-Seq transcriptome analysis of reactive oxygen species gene network in Mizuna plants grown in long-term space flight" + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/CoalPrepPlants/MapServer", + "description": "ArcGIS GeoServices REST API", + "title": "ArcGIS GeoService" + }, + { + "@type": "dcat:Distribution", + "accessURL": "https://geodata.osmre.gov/arcgis/rest/services/GeoMine/CoalPrepPlants/MapServer/0/metadata?format=iso19139", + "format": "xml", + "title": "ISO-19139 Metadata" } ], - "identifier": "nasa_genelab_GLDS-59_af4u-mnh4", - "issued": "2018-06-26", - "keyword": [ - "library-construction", - "nucleic-acid-extraction", - "nucleic-acid-sequencing", - "sample-collection", - "space-flight" - ], - "landingPage": "https://data.nasa.gov/dataset/rna-seq-transcriptome-analysis-of-reactive-oxygen-species-gene-network-in-mizuna-plants-gr", - "modified": "2025-04-23", - "programCode": [ - "026:005" - ], + "identifier": "http://datainventory.doi.gov/id/dataset/d1d3a1e4-3038-4a20-a34b-c39a9bf398fb", + "issued": "2020-01-08T12:00:00Z", + "keyword": [ + "GeoMine", + "Geospatial", + "OSMRE", + "coal", + "coal mine", + "coal mining", + "coalmine", + "coalmining", + "permits", + "surface mine" + ], + "landingPage": "https://www.osmre.gov/programs/technical-innovation-and-professional-services/services", + "language": [ + "en-US" + ], + "modified": "2026-10-06T14:58:28-06:00", "publisher": { "@type": "org:Organization", - "name": "National Aeronautics and Space Administration" - }, - "theme": [ - "Earth Science" - ], - "title": "RNA-Seq transcriptome analysis of reactive oxygen species gene network in Mizuna plants grown in long-term space flight" - }, - "description": "Space environment is suspected to generate reactive oxygen species (ROS) and induce oxidative stress in plants however little is known about the gene expression of ROS gene network in plants grown in long-term space flight. RNA-Seq was used to define the large-scale gene expression profiles of Mizuna harvested after 27 days cultivation in the international space station to understand the molecular response and adaptation to space environment.Results: Total reads of transcripts from the Mizuna grown in the international space station as well as on the ground by RNA-Seq using next generation sequencing technology showed 8,258 and 14,170 transcripts up- and down-regulated in the space-grown Mizuna respectively when compared with those from the ground-grown Mizuna. A total of 20 in 32 ROS oxidative marker genes were up-regulated including high expression of 4 hallmarks and preferentially expressed gene associated with ROS-scavenging genes was thioredoxin glutaredoxin and alternative oxidase genes. In the transcription factors of ROS gene network MEKK1-MKK4-MPK3 OXI1-MKK4-MPK3 and OXI1-MPK3 of MAP cascades induction of WRKY22 by MEKK1-MKK4-MPK3 cascade induction of WRKY25 and repression of ZAT7 by Zat12 were suggested. RbohD and RbohF genes were up-regulated preferentially in NADPH oxidase genes which produce ROS.Conclusions: Our large-scale transcriptome analysis demonstrated that the space environment induced oxidative stress and ROS gene network was activated in the space-grown Mizuna some of which were common genes up-regulated by abiotic and biotic stress and were preferentially up-regulated genes by the space environment even though Mizuna grew in the space as well as on the ground showing that plants could acclimate to the space environment by reprograming the expression of ROS gene network.", + "name": "Office of Surface Mining, Reclamation and Enforcement" + }, + "spatial": "-121.987606,36.4422,-79.3097,47.326677", + "theme": [ + "Environment", + "Geoscientific Information", + "geospatial" + ], + "title": "Coal Preparation Plant Locations " + }, + "description": "As described by ASTM: D7780-12: This feature class contains points that depict the location of coal preparation plants on a given Coal Mining Operation. 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Total RNA was extracted and sequenced at a target depth of 60 M clusters per sample (ribodepleted paired end 150). Study Factor Levels: 1)Spaceflight ug Std. Chow: 3; 2)Spaceflight ug FOS: 3; 3) Spaceflight Artificial 1g Std. Chow: 3; 4)Spaceflight Artificial 1g FOS: 3; 5)Ground 1g Std. Chow: 3; 6)Ground 1g FOS: 3; 7)Vivarium 1g Std. Chow: 3; 8)Vivarium 1g FOS: 3", + "fn": "Bureau of Land Management, BLM_OC_Fire_Geospatial", + "hasEmail": "mailto:BLM_OC_Fire_Geospatial@blm.gov" + }, + "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. 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This strain was of particular interest due to the unique environment in which it was isolated from.']", + "fn": "Bureau of Land Management, BLM_OC_REA_Data_Portal_Feedback_Team", + "hasEmail": "mailto:BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov" + }, + "description": "<div style='color:rgb(0, 0, 0); font-family:Calibri; font-size:14.6667px;'>The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. 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. 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