Timeline / Data.gov — Health Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 692 line(s) added, 371 line(s) removed.
Evidence
| Source | Data.gov — Health Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=health&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-18T06:25:08+00:00 |
| Content type | application/json |
| Current object |
481f427bcd79d1d9c12480a67d31165e4a9eb3360bfd383ef2d963b7b879c74f
download raw
metadata
|
| Previous object |
10eaa4f08c6e9bd511abda34e39873a96d29a62dcbed79949426bdc35df29d2c
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-18T06:25:08+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 692 line(s) added, 371 line(s) removed.
--- previous +++ current @@ -1,11 +1,639 @@ { - "after": "WzE3ODk1ODQ0OTkzNDAsMzEuMTQ3NzM2LDEsIjg1NGRiMWEyLWI3YmEtNGRjOS1hOWMzLWViMDM3MzZlMzNhYyJd", + "after": "WzE3ODk1ODQ1MTQ1NzksMzAuNTUyMTE2LDEyLCIzZTJjZDZhNS1iOGQ1LTRjYjgtYmQ4NC1iODRkZTAwZmViODMiXQ==", "results": [ { - "_score": 9.71939, + "_score": 11.860228, + "_sort": [ + 1789693037799, + 11.860228, + 0, + "7cbad56e-0d34-4736-9242-e6f5a53ff494" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Jill A Jenkins", + "hasEmail": "mailto:jenkinsj@usgs.gov" + }, + "description": "Adult male Fathead Minnows (Pimephales promelas) were exposed to water containing per- and polyfluoroalkyl compounds (PFAS) derived from aqueous film-forming foam in mobile laboratories on location at the USGS Toxic Substance Hydrology Groundwater Research Site on Cape Cod, MA. In 2024, to investigate potential effects on male reproductive parameters, two groundwater wells, including one reference (REF) and one PFAS-contaminated water from fire-training area (FTA-2), were used as environmental source waters for continuous-flow fish exposures. Fathead Minnows were acclimated for 21 days in REF water, then exposed to different dilution ratios of FTA-2 and REF treatments for the 21 days. REF served as the reference treatment. After acclimation, the fish were moved into 5 different exposure treatment groups: 1) REF, 2) FTA-2, 3) FTA-2:REF at 10 parts to 90 parts by volume, 4) FTA-2:REF at 25 parts to 75 parts, and 5) FTA-2:REF at 50 parts to 50 parts. To assess potential effects on reproductive parameters, sperm motility measures were collected by using computer assisted sperm motion analysis, and potential effects on programmed testicular cell death were measured with flow cytometry by using live cells stained with Annexin and counterstained with propidium iodide. These data are to be included in a larger study measuring multiple endpoints, including water and tissue chemistry, testis histology, and female reproductive endpoints such as fecundity.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P13WGICU", + "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.6a455e761ba49bba33a32111.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a455e761ba49bba33a32111", + "keyword": [ + "Aquatic Biology", + "Environmental Health", + "Hydrology", + "PFAS", + "USGS:6a455e761ba49bba33a32111", + "Water Quality", + "Wildlife Biology", + "boundaries", + "contamination", + "contamination and pollution", + "fish", + "flow cytometry" + ], + "modified": "2026-09-15T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-70.5775, 41.6031, -70.4471, 41.7262", + "theme": [ + "geospatial" + ], + "title": "Assessment of sperm motility, apoptosis, and viability of Fathead Minnows (Pimephales promelas) exposed to polyfluorinated alkyl substances (PFAS) at Cape Cod, MA in 2024" + }, + "description": "Adult male Fathead Minnows (Pimephales promelas) were exposed to water containing per- and polyfluoroalkyl compounds (PFAS) derived from aqueous film-forming foam in mobile laboratories on location at the USGS Toxic Substance Hydrology Groundwater Research Site on Cape Cod, MA. In 2024, to investigate potential effects on male reproductive parameters, two groundwater wells, including one reference (REF) and one PFAS-contaminated water from fire-training area (FTA-2), were used as environmental source waters for continuous-flow fish exposures. Fathead Minnows were acclimated for 21 days in REF water, then exposed to different dilution ratios of FTA-2 and REF treatments for the 21 days. REF served as the reference treatment. After acclimation, the fish were moved into 5 different exposure treatment groups: 1) REF, 2) FTA-2, 3) FTA-2:REF at 10 parts to 90 parts by volume, 4) FTA-2:REF at 25 parts to 75 parts, and 5) FTA-2:REF at 50 parts to 50 parts. To assess potential effects on reproductive parameters, sperm motility measures were collected by using computer assisted sperm motion analysis, and potential effects on programmed testicular cell death were measured with flow cytometry by using live cells stained with Annexin and counterstained with propidium iodide. These data are to be included in a larger study measuring multiple endpoints, including water and tissue chemistry, testis histology, and female reproductive endpoints such as fecundity.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/b0c40b10-495e-4526-a441-7913e01f8c8d", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/b0c40b10-495e-4526-a441-7913e01f8c8d/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a455e761ba49bba33a32111", + "keyword": [ + "Aquatic Biology", + "Environmental Health", + "Hydrology", + "PFAS", + "USGS:6a455e761ba49bba33a32111", + "Water Quality", + "Wildlife Biology", + "boundaries", + "contamination", + "contamination and pollution", + "fish", + "flow cytometry" + ], + "last_harvested_date": "2026-09-18T00:57:17.799627", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "U.S. Geological Survey", + "slug": "assessment-of-sperm-motility-apoptosis-and-viability-of-fathead-minnows-pimephales-pr-2024", + "spatial_centroid": { + "lat": 41.652339999999995, + "lon": -70.52534 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -70.5775, + 41.6031 + ], + [ + -70.5775, + 41.7262 + ], + [ + -70.4471, + 41.7262 + ], + [ + -70.4471, + 41.6031 + ], + [ + -70.5775, + 41.6031 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Assessment of sperm motility, apoptosis, and viability of Fathead Minnows (Pimephales promelas) exposed to polyfluorinated alkyl substances (PFAS) at Cape Cod, MA in 2024", + "type": "dataset" + }, + { + "_score": 9.71612, + "_sort": [ + 1789692923313, + 9.71612, + 0, + "b1026e76-d151-414f-8317-24738e68603d" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Kate Ackerman", + "hasEmail": "mailto:kackerman@usgs.gov" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P14EJ3LQ", + "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.6a554fa61ba49b1af2fad41d.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554fa61ba49b1af2fad41d", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "modified": "2026-09-09T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-75.5610, 38.9289, -73.9055, 40.9847", + "theme": [ + "geospatial" + ], + "title": "Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/95d66757-07d0-4093-97d2-ed95eb2a2ee3/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554fa61ba49b1af2fad41d", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554fa61ba49b1af2fad41d", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "last_harvested_date": "2026-09-18T00:55:23.313842", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "U.S. Geological Survey", + "slug": "marsh-migration-metrics-for-new-jersey-marsh-units-in-response-to-2-feet-of-sea-level-rise", + "spatial_centroid": { + "lat": 39.75122, + "lon": -74.89880000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -75.561, + 38.9289 + ], + [ + -75.561, + 40.9847 + ], + [ + -73.9055, + 40.9847 + ], + [ + -73.9055, + 38.9289 + ], + [ + -75.561, + 38.9289 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Marsh migration metrics for New Jersey marsh units in response to 2 feet of sea-level rise", + "type": "dataset" + }, + { + "_score": 9.574783, + "_sort": [ + 1789691913985, + 9.574783, + 0, + "f23186e6-2759-43cb-b5fb-b2fbc4a05f12" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Kate Ackerman", + "hasEmail": "mailto:kackerman@usgs.gov" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P14EJ3LQ", + "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.6a554e8b1ba49b1af2fad413.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554e8b1ba49b1af2fad413", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "modified": "2026-09-09T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-75.5641, 38.9307, -73.9057, 40.9831", + "theme": [ + "geospatial" + ], + "title": "Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/24d4e3af-a874-4611-9385-b631a18132f0/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554e8b1ba49b1af2fad413", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554e8b1ba49b1af2fad413", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "last_harvested_date": "2026-09-18T00:38:33.985819", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "U.S. Geological Survey", + "slug": "potential-marsh-migration-area-in-new-jersey-in-response-to-4-feet-of-sea-level-rise", + "spatial_centroid": { + "lat": 39.75166, + "lon": -74.90074 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -75.5641, + 38.9307 + ], + [ + -75.5641, + 40.9831 + ], + [ + -73.9057, + 40.9831 + ], + [ + -73.9057, + 38.9307 + ], + [ + -75.5641, + 38.9307 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Potential marsh migration area in New Jersey in response to 4 feet of sea-level rise", + "type": "dataset" + }, + { + "_score": 9.574783, + "_sort": [ + 1789691473235, + 9.574783, + 0, + "aae87ab1-7747-48fc-b10d-90df7d063dae" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Kate Ackerman", + "hasEmail": "mailto:kackerman@usgs.gov" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P14EJ3LQ", + "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.6a554fcc1ba49b1af2fad421.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554fcc1ba49b1af2fad421", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554fcc1ba49b1af2fad421", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "modified": "2026-09-09T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-75.5641, 38.9307, -73.9057, 40.9831", + "theme": [ + "geospatial" + ], + "title": "Potential marsh migration area in New Jersey in response to 2 feet of sea-level rise" + }, + "description": "Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. This data release provides estimates of the marsh migration potential of salt marshes in the northeastern United States (Maine to Virginia), calculated in terms of the available migration area for each marsh unit, as defined by the US Geological Survey. The area available for landward migration is based on NOAA's marsh migration predictions in response to various local sea-level rise (SLR) scenarios. The migration space is divided by the National Hydrography Dataset Plus (NHDPlus) catchments and assigned to each marsh unit. Migration rates of each marsh unit are calculated to estimate how much area may potentially be converted to marsh per year, based on the local SLR estimates derived from the global mean sea-level scenarios for 2100 from Sweet and others (2022). The U.S. Geological Survey is expanding its national assessment of coastal change hazards and forecast products to coastal wetlands with the goal of providing managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. Understanding how these wetlands adapt to change is key to this effort. \nThe Chesapeake Bay marsh migration dataset can be found here: https://doi.org/10.5066/P18BWN2U. \nThis data release will be updated as marsh migration calculations are completed across the northeastern United States. \nReference: \nSweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and regional sea level rise scenarios for the United States- updated mean projections and extreme water level probabilities along U.S. coastlines: NOAA Technical Report NOS 01, National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp., https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/b10739c3-6432-4136-8109-0cfa720c37cb", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/b10739c3-6432-4136-8109-0cfa720c37cb/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a554fcc1ba49b1af2fad421", + "keyword": [ + "Atlantic Ocean", + "Delaware Bay", + "State of New Jersey", + "USGS:6a554fcc1ba49b1af2fad421", + "coastal ecosystems", + "coastal processes", + "elevation", + "environment", + "estuarine processes", + "estuary", + "geospatial datasets", + "inlandWaters", + "lifespan", + "marsh health", + "marsh migration", + "oceans", + "salt marsh", + "sea-level change", + "sediment transport", + "vegetation", + "wetland ecosystems", + "wetland functions" + ], + "last_harvested_date": "2026-09-18T00:31:13.235097", + "organization": { + "aliases": [ + "dept" + ], + "code_repo_exempt": false, + "code_repo_url": null, + "description": null, + "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", + "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", + "name": "Department of the Interior", + "organization_type": "Federal Government", + "slug": "doi" + }, + "parent_identifier": null, + "popularity": 0, + "publisher": "U.S. Geological Survey", + "slug": "potential-marsh-migration-area-in-new-jersey-in-response-to-2-feet-of-sea-level-rise", + "spatial_centroid": { + "lat": 39.75166, + "lon": -74.90074 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -75.5641, + 38.9307 + ], + [ + -75.5641, + 40.9831 + ], + [ + -73.9057, + 40.9831 + ], + [ + -73.9057, + 38.9307 + ], + [ + -75.5641, + 38.9307 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Potential marsh migration area in New Jersey in response to 2 feet of sea-level rise", + "type": "dataset" + }, + { + "_score": 9.71612, "_sort": [ 1789688007439, - 9.71939, + 9.71612, 0, "a9045a0d-59ff-4447-a55f-8db1c535a68f" ], @@ -262,10 +890,10 @@ "type": "dataset" }, { - "_score": 19.551973, + "_score": 19.552025, "_sort": [ 1789678954057, - 19.551973, + 19.552025, 5, "f56a5e9a-a4d7-4830-b51b-2b9b6cddbe29" ], @@ -385,10 +1013,10 @@ "type": "dataset" }, { - "_score": 3.1124105, + "_score": 3.1124249, "_sort": [ 1789678868230, - 3.1124105, + 3.1124249, 2, "8990f920-f831-496e-b9a0-a8cc91c3c03c" ], @@ -540,10 +1168,10 @@ "type": "dataset" }, { - "_score": 8.169865, + "_score": 8.169966, "_sort": [ 1789678820512, - 8.169865, + 8.169966, 9, "ab421edc-42a0-4f5d-bf7e-c420396e97a2" ], @@ -968,10 +1596,10 @@ "type": "dataset" }, { - "_score": 18.651688, + "_score": 18.65173, "_sort": [ 1789675077702, - 18.651688, + 18.65173, 0, "38d23c02-2630-447c-9e32-44bf8ca16efa" ], @@ -1153,10 +1781,10 @@ "type": "data_series" }, { - "_score": 18.651688, + "_score": 18.65173, "_sort": [ 1789675077505, - 18.651688, + 18.65173, 5, "7e14b484-8016-4402-9e06-20f5f69314d8" ], @@ -1300,10 +1928,10 @@ "type": "dataset" }, { - "_score": 18.716305, + "_score": 18.716444, "_sort": [ 1789675077319, - 18.716305, + 18.716444, 1, "d2e0035c-e6c3-4c14-8354-af5b1519fb99" ], @@ -1578,10 +2206,10 @@ "type": "dataset" }, { - "_score": 39.99621, + "_score": 39.996468, "_sort": [ 1789674979929, - 39.99621, + 39.996468, 1, "0bb9af19-b417-4f45-af81-99139aab9f9e" ], @@ -1834,10 +2462,10 @@ "type": "dataset" }, { - "_score": 36.25862, + "_score": 36.258705, "_sort": [ 1789674976712, - 36.25862, + 36.258705, 3, "b5b8402f-f620-4aee-9d5d-004a1fd08485" ], @@ -1961,10 +2589,10 @@ "type": "dataset" }, { - "_score": 33.05557, + "_score": 33.055645, "_sort": [ 1789674937878, - 33.05557, + 33.055645, 2, "f07c5517-a219-4d5d-aff1-d1fa5082978e" ], @@ -2090,10 +2718,10 @@ "type": "dataset" }, { - "_score": 13.424345, + "_score": 13.4201765, "_sort": [ 1789674921396, - 13.424345, + 13.4201765, 2, "4272b76d-9568-4e31-9971-9e8ee3d1b480" ], @@ -2213,10 +2841,10 @@ "type": "dataset" }, { - "_score": 20.333359, + "_score": 20.333544, "_sort": [ 1789674901747, - 20.333359, + 20.333544, 2, "ac33ff5d-7eef-419a-88e0-bc4f215408c9" ], @@ -2450,10 +3078,10 @@ "type": "dataset" }, { - "_score": 11.795879, + "_score": 11.792196, "_sort": [ 1789674006285, - 11.795879, + 11.792196, 0, "5741de12-e836-4e05-b7d0-4b8dfc7e8609" ], @@ -2692,10 +3320,10 @@ "type": "dataset" }, { - "_score": 31.50621, + "_score": 31.50122, "_sort": [ 1789673981805, - 31.50621, + 31.50122, 0, "8bbe8268-47fc-4a7d-901b-97f1a54b148c" ], @@ -2795,10 +3423,10 @@ "type": "dataset" }, { - "_score": 11.776136, + "_score": 11.776169, "_sort": [ 1789673963903, - 11.776136, + 11.776169, 0, "9ed39c8d-1c80-45eb-a391-07d6db03af23" ], @@ -2904,10 +3532,10 @@ "type": "dataset" }, { - "_score": 11.795879, + "_score": 11.792196, "_sort": [ 1789673946872, - 11.795879, + 11.792196, 0, "1dcab7c3-7f11-4375-b589-1b1b07e543e9" ], @@ -3013,10 +3641,10 @@ "type": "dataset" }, { - "_score": 31.50621, + "_score": 31.50122, "_sort": [ 1789673917511, - 31.50621, + 31.50122, 0, "8ad1affa-a089-49a4-96bd-d9fe9262c663" ], @@ -3351,10 +3979,10 @@ "type": "dataset" }, { - "_score": 11.795879, + "_score": 11.792196, "_sort": [ 1789673891923, - 11.795879, + 11.792196, 1, "be292007-03bc-43a4-937a-34031bd2d054" ], @@ -3751,10 +4379,10 @@ "type": "dataset" }, { - "_score": 16.073736, + "_score": 16.073778, "_sort": [ 1789595402765, - 16.073736, + 16.073778, 7, "9a6818a5-7c76-492b-9225-9e95457c0fd1" ], @@ -4070,10 +4698,10 @@ "type": "dataset" }, { - "_score": 31.122688, + "_score": 31.11896, "_sort": [ 1789595212287, - 31.122688, + 31.11896, 18, "f44a9dcc-e94f-4c2d-bff7-a5fee86e1da1" ], @@ -4213,10 +4841,10 @@ "type": "dataset" }, { - "_score": 16.501377, + "_score": 16.501417, "_sort": [ 1789595211440, - 16.501377, + 16.501417, 32, "4cb57449-b65f-4f61-b615-9352dc971577" ], @@ -4354,10 +4982,10 @@ "type": "dataset" }, { - "_score": 35.224888, + "_score": 35.22055, "_sort": [ 1789595206502, - 35.224888, + 35.22055, 6, "303d19e2-0b4a-4a9f-a90b-8d4ff2550163" ], @@ -4499,10 +5127,10 @@ "type": "dataset" }, { - "_score": 35.06537, + "_score": 35.06143, "_sort": [ 1789595202338, - 35.06537, + 35.06143, 1, "9c5975eb-9351-4cd7-a000-ba41860c8e88" ], @@ -4634,10 +5262,10 @@ "type": "dataset" }, { - "_score": 73.04, + "_score": 73.03528, "_sort": [ 1789595164418, - 73.04, + 73.03528, 2, "614672ff-05d9-4b0c-b9ac-8df5314db11a" ], @@ -4780,10 +5408,10 @@ "type": "dataset" }, { - "_score": 33.314842, + "_score": 33.31491, "_sort": [ 1789595157767, - 33.314842, + 33.31491, 1, "e1b890a1-5659-4b4b-8446-d207e149842d" ], @@ -4901,10 +5529,10 @@ "type": "dataset" }, { - "_score": 22.259266, + "_score": 22.259317, "_sort": [ 1789595146459, - 22.259266, + 22.259317, 2, "d16a3eee-a1e2-4779-bf7a-a459a9bce6f8" ], @@ -5044,10 +5672,10 @@ "type": "dataset" }, { - "_score": 11.484066, + "_score": 11.480217, "_sort": [ 1789595146079, - 11.484066, + 11.480217, 1, "507ed682-cec7-496a-a468-c2391495ea5c" ], @@ -5305,10 +5933,10 @@ "type": "dataset" }, { - "_score": 20.02359, + "_score": 20.02364, "_sort": [ 1789593074464, - 20.02359, + 20.02364, 2, "9ae6af06-16a5-4004-bb2e-6c1be9f165d9" ], @@ -5522,10 +6150,10 @@ "type": "dataset" }, { - "_score": 15.553282, + "_score": 15.553326, "_sort": [ 1789592107338, - 15.553282, + 15.553326, 0, "5b826742-afe9-4788-90fd-dae9311d3849" ], @@ -6353,10 +6981,10 @@ "type": "dataset" }, { - "_score": 16.952393, + "_score": 16.952435, "_sort": [ 1789587324895, - 16.952393, + 16.952435, 4, "c1ff7bf1-4e8a-4d7e-bdf7-1bf3f0cfaf6a" ], @@ -6506,321 +7134,14 @@ "type": "dataset" }, { - "_score": 14.501477, + "_score": 14.5016985, "_sort": [ 1789587323962, - 14.501477, + 14.5016985, 3, "e88e8188-68ac-4d78-a133-487bd3f20b90" ], "dcat": { "@type": "dcat:Dataset", "accessLevel": "public", - "accrualPeriodicity": "R/P1M", - "contactPoint": { - "@type": "vcard:Contact", - "fn": "U.S. Environmental Protection Agency, Headquarters", - "hasEmail": "mailto:frs_support@epa.gov" - }, - "describedByType": "application/octet-stream", - "description": "This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) non-NPL sites. Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.", - "distribution": [ - { - "@type": "dcat:Distribution", - "describedByType": "application/octet-stream", - "downloadURL": "https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Zipped File Geodatabase (Accessible on the EPA Intranet only)" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer", - "describedByType": "application/octet-stream", - "mediaType": "text/html", - "title": "ArcGIS Server Map Services (Accessible on the EPA Intranet only)" - } - ], - "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CERCLIS_metadata.xml", - "isPartOf": "EPA Facility Registry Service Collection", - "issued": "2016-06-29T00:00:00.000+00:00", - "keyword": [ - "Iowa", - "Pennsylvania", - "Hawaii", - "Arizona", - "Utah", - "Montana", - "North Carolina", - "Rhode Island", - "conterminous United States (CONUS)", - "North Dakota", - "California", - "New Jersey", - "Washington", - "Mississippi", - "Tennessee", - "Indiana", - "Oregon", - "Michigan", - "Washington DC", - "Colorado", - "Minnesota", - "Wisconsin", - "Texas", - "Missouri", - "Arkansas", - "Nevada", - "Massachusetts", - "Virgin Islands", - "Oklahoma", - "Ohio", - "Maine", - "New Hampshire", - "Kansas", - "Louisiana", - "New Mexico", - "American Samoa", - "Idaho", - "Alaska", - "Illinois", - "Florida", - "Alabama", - "Maryland", - "Puerto Rico", - "South Carolina", - "Nebraska", - "Virginia", - "New York", - "Kentucky", - "Connecticut", - "United States (US) (USA)", - "Wyoming", - "West Virginia", - "South Dakota", - "District of Columbia", - "Delaware", - "Vermont", - "Georgia", - "020:072", - "Facilities", - "Remediation", - "Toxics", - "Regulatory", - "Emergency Response", - "Sites", - "Contaminant", - "Cleanup", - "Resources", - "Environmental Management", - "Compliance", - "Waste" - ], - "language": [], - "license": "https://creativecommons.org/publicdomain/zero/1.0/", - "modified": "2026-09-15T09:27:12.000+00:00", - "publisher": { - "@type": "org:Organization", - "name": "U.S. EPA Office of Environmental Information (OEI)" - }, - "temporal": "2020-12-12T00:00:00+00:00/2020-12-12T00:00:00+00:00", - "theme": [ - "geospatial" - ], - "title": "EPA Facility Registry Service (FRS): ER_CERCLIS" - }, - "description": "This web feature service contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that link to the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) non-NPL sites. Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.", - "distribution_titles": [ - "Zipped File Geodatabase (Accessible on the EPA Intranet only)", - "ArcGIS Server Map Services (Accessible on the EPA Intranet only)" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/d64c38ed-a328-4e27-91b7-d633efcc169c", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/d64c38ed-a328-4e27-91b7-d633efcc169c/raw", - "harvest_record_transformed": "https://catalog.data.gov/harvest_record/d64c38ed-a328-4e27-91b7-d633efcc169c/transformed", - "has_download": true, - "has_spatial": true, - "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CERCLIS_metadata.xml", - "keyword": [ - "Iowa", - "Pennsylvania", - "Hawaii", - "Arizona", - "Utah", - "Montana", - "North Carolina", - "Rhode Island", - "conterminous United States (CONUS)", - "North Dakota", - "California", - "New Jersey", - "Washington", - "Mississippi", - "Tennessee", - "Indiana", - "Oregon", - "Michigan", - "Washington DC", - "Colorado", - "Minnesota", - "Wisconsin", - "Texas", - "Missouri", - "Arkansas", - "Nevada", - "Massachusetts", - "Virgin Islands", - "Oklahoma", - "Ohio", - "Maine", - "New Hampshire", - "Kansas", - "Louisiana", - "New Mexico", - "American Samoa", - "Idaho", - "Alaska", - "Illinois", - "Florida", - "Alabama", - "Maryland", - "Puerto Rico", - "South Carolina", - "Nebraska", - "Virginia", - "New York", - "Kentucky", - "Connecticut", - "United States (US) (USA)", - "Wyoming", - "West Virginia", - "South Dakota", - "District of Columbia", - "Delaware", - "Vermont", - "Georgia", - "020:072", - "Facilities", - "Remediation", - "Toxics", - "Regulatory", - "Emergency Response", - "Sites", - "Contaminant", - "Cleanup", - "Resources", - "Environmental Management", - "Compliance", - "Waste" - ], - "last_harvested_date": "2026-09-16T19:35:23.962512", - "organization": { - "aliases": [ - "EPA" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "82b85475-f85d-404a-b95b-89d1a42e9f6b", - "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/epa.png", - "name": "U.S. Environmental Protection Agency", - "organization_type": "Federal Government", - "slug": "epa" - }, - "parent_identifier": null, - "popularity": 3, - "publisher": "U.S. EPA Office of Environmental Information (OEI)", - "slug": "epa-facility-registry-service-frs-er_cerclis", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [ - "geospatial" - ], - "title": "EPA Facility Registry Service (FRS): ER_CERCLIS", - "type": "dataset" - }, - { - "_score": 5.017668, - "_sort": [ - 1789585560620, - 5.017668, - 32, - "bff8753a-f2a5-433b-a589-2e1fc9acadf4" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "contactPoint": { - "@type": "vcard:Contact", - "fn": "WakeCountyGovernment", - "hasEmail": "mailto:gisapps@wake.gov" - }, - "description": "The Wake County health department inspects food service facilities\nthroughout Wake County. The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span> </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span> </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span> </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span> \n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span> </span>Facilities that are closed are removed from\nall three files in this dataset.<span> </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'>Food Inspections:\n</span></b><span style='color:black;'>This table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span> </span>It\nreports the results in code violations and according to CDC Risk Factors.<span> </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:"Helv","sans-serif"; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p> </p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span> </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt "Times New Roman";'></span></span></span>The frequency of facility inspections fall under\nthe following rules:</p>\n\n<p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category I </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category II </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category III </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected four times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-size:12.0pt;'>Risk Category IV </span></b><span style='font-size:12.0pt;'>applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.</span></p><span style='color:black;'><span><br /></span></span>\n\n<table border='0' cellpadding='0' cellspacing='0' style='width:513.0pt; border-collapse:collapse; margin-left:6.75pt; margin-right:6.75pt;' width='684'>\n <tbody><tr style='height:30.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'> </span></b></p>\n \n \n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Field</span></b></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Description</span></b></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>HSISID</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>State code identifying the\n restaurant (also the primary key to identify the restaurant)</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Score</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Final score for this inspection</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date of inspection</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Description</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>General comments not that may or\n may not be tied to a inspection question</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type of inspection: Inspection, Re-inspection,\n Visit</span></p>\n </td>\n </tr>\n \n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>PermitID</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Deprecated. No longer provided.</span></p>\n </td>\n </tr>\n</tbody></table>", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/csv?layers=1", - "format": "CSV", - "mediaType": "text/csv", - "title": "CSV" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/geojson?layers=1", - "format": "GeoJSON", - "mediaType": "application/vnd.geo+json", - "title": "GeoJSON" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/kml?layers=1", - "format": "KML", - "mediaType": "application/vnd.google-earth.kml+xml", - "title": "KML" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data-wake.opendata.arcgis.com/api/download/v1/items/ebe3ae7f76954fad81411612d7c4fb17/shapefile?layers=1", - "format": "ZIP", - "mediaType": "application/zip", - "title": "Shapefile" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspections", - "format": "Web Page", - "mediaType": "text/html", - "title": "ArcGIS Hub Dataset" - }, - { - "@type": "dcat:Distribution", - "accessURL": "https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/1", - "format": "ArcGIS GeoServices REST API", - "mediaType": "application/json", - "title": "ArcGIS GeoService" - } - ], - "identifier": "https://www.arcgis.com/home/item.html?id=ebe3ae7f76954fad81411612d7c4fb17&sublayer=1", - "issued": "2016-08-12T18:31:22.000Z", - "keyword": [ - "Food Safety", - "Inspections", - "NC", - "North Carolina", - "Permit", - "Restaurants", - "Wake", - "Wake County" - ], - "landingPage": "https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspections", - "license": "https://creativecommons.org/licenses/by/4.0", - "modified": "2026-09-16T04:30:18.000Z", - "publisher": { - "name": "Wake County" - }, - "spatial": "-78.9451,35.5378,-78.2691,36.0477", - "theme": [ - "geospatial" - ], - "title": "Food Inspections" - }, - "description": "The Wake County health department inspects food service facilities\nthroughout Wake County. The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span> </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span> </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span> </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span> \n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span> </span>Facilities that are closed are removed from\nall three files in this dataset.<span> </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'>Food Inspections:\n</span></b><span style='color:black;'>This table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.<span style='font:7.0pt "Times New Roman";'> </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span> </span>It\nreports the results in code violations and according to CDC Risk Factors.<span> </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:"Helv","sans-serif"; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p> </p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span> </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt "Times New Roman";'></span></span></span>The frequency of facility inspections fall under\nthe following rules:</p>\n\n<p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category I </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category II </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:"Calibri","sans-serif";'>Risk Category III </span></b><span style='font-family:"Calibri","sans-serif";'>applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.</span></p><p style='margin-left:.5in;'><b><u><span style='font-family:"Calibri","sans-serif";'>Inspected four times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-size:12.0pt;'>Risk Category IV </span></b><span style='font-size:12.0pt;'>applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.</span></p><span style='color:black;'><span><br /></span></span>\n\n<table border='0' cellpadding='0' cellspacing='0' style='width:513.0pt; border-collapse:collapse; margin-left:6.75pt; margin-right:6.75pt;' width='684'>\n <tbody><tr style='height:30.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'> </span></b></p>\n \n \n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Field</span></b></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:30.0pt;' valign='bottom' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><b><span style='color:black;'>Description</span></b></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>HSISID</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>State code identifying the\n restaurant (also the primary key to identify the restaurant)</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Score</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Final score for this inspection</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Date of inspection</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Description</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>General comments not that may or\n may not be tied to a inspection question</span></p>\n </td>\n </tr>\n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>Type of inspection: Inspection, Re-inspection,\n Visit</span></p>\n </td>\n </tr>\n \n <tr style='height:15.0pt;'>\n <td style='width:1.75in; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='168'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:black;'>PermitID</span></p>\n </td>\n <td style='width:387.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.0pt;' valign='top' width='516'>\n <p style='margin-bottom:0in; margin-bottom:.0001pt;'><span style='color:b + "accrualPeriodicity": "R/P