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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. 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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. 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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":9.574239,"_sort":[1789691913985,9.574239,0,"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. 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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. 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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":9.574239,"_sort":[1789691473235,9.574239,0,"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. 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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. 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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":9.715924,"_sort":[1789688007439,9.715924,0,"a9045a0d-59ff-4447-a55f-8db1c535a68f"],"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. 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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.6a554e291ba49b1af2fad409.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e291ba49b1af2fad409","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e291ba49b1af2fad409","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 4 feet of sea-level rise"},"description":"Salt marshes are valuable ecosystems that may be able to migrate landward as sea level rises. 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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/d3774a5f-b35d-456e-94c4-abb2fe9568aa","harvest_record_raw":"https://catalog.data.gov/harvest_record/d3774a5f-b35d-456e-94c4-abb2fe9568aa/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a554e291ba49b1af2fad409","keyword":["Atlantic Ocean","Delaware Bay","State of New Jersey","USGS:6a554e291ba49b1af2fad409","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":"2026-09-17T23:33:27.439686","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-4-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 4 feet of sea-level rise","type":"dataset"},{"_score":19.548468,"_sort":[1789678954057,19.548468,5,"f56a5e9a-a4d7-4830-b51b-2b9b6cddbe29"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"R/P1W","bureauCode":["009:20"],"contactPoint":{"@type":"vcard:Contact","fn":"National Syndromic Surveillance Program","hasEmail":"mailto:nssp@cdc.gov"},"description":"NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. 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This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.\u202f \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as \u201csparse\u201d.  \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays.\u202f","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/408f5189-4b2e-4ca9-a343-d7852edd1c95","harvest_record_raw":"https://catalog.data.gov/harvest_record/408f5189-4b2e-4ca9-a343-d7852edd1c95/raw","has_download":true,"has_spatial":true,"identifier":"https://data.cdc.gov/api/views/rdmq-nq56","keyword":["coronavirus","covid19","ed","emergency department","flu","influenza","national syndromic surveillance program","ncird","nssp","ophdst","respiratory syncytial 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residents.\n\n\nNotes:\n\n\u2022 These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n\u2022 Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n\u2022 The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n\u2020Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n\u2022 Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable \u2014 The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases \u2014 The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable \u2014 The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable \u2014 This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated \u2014 There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum \u2014 Maximum case count during the previous 52 weeks.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/x9gk-5huc/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"}],"identifier":"https://data.cdc.gov/api/views/x9gk-5huc","issued":"2022-01-18","keyword":["2022","nndss","wonder"],"landingPage":"https://data.cdc.gov/d/x9gk-5huc","license":"http://opendefinition.org/licenses/odc-odbl/","modified":"2026-09-16","programCode":["009:020"],"publisher":{"@type":"org:Organization","name":"Centers for Disease Control and Prevention"},"theme":["NNDSS"],"title":"NNDSS Weekly Data"},"description":"NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\n\nNotes:\n\n\u2022 These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n\u2022 Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n\u2022 The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n\u2020Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n\u2022 Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable \u2014 The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases \u2014 The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable \u2014 The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable \u2014 This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated \u2014 There 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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>\u00a0 </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>\u00a0 </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>\u00a0 </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>\u00a0\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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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>\u00a0 </span>Facilities that are closed are removed from\nall three files in this dataset.<span>\u00a0 </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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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>\u00a0 </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>\u00a0 </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:&quot;Helv&quot;,&quot;sans-serif&quot;; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p>\u00a0</p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>\u00a0 </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &quot;Times New Roman&quot;;'></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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category I </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category II </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category III </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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;'>\u00a0</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>\u00a0 </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>\u00a0 </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>\u00a0 </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>\u00a0\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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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>\u00a0 </span>Facilities that are closed are removed from\nall three files in this dataset.<span>\u00a0 </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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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 &quot;Times New Roman&quot;;'>\u00a0\u00a0\u00a0\u00a0 </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>\u00a0 </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>\u00a0 </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:&quot;Helv&quot;,&quot;sans-serif&quot;; color:blue; text-decoration:none;'>Retail Risk Factor\nStudy</span></a><span style='color:black;'></span></p>\n\n<p>\u00a0</p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>\u00a0 </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &quot;Times New Roman&quot;;'></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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected once per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category I </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected twice per year:</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category II </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Inspected three times per year</span></u></b></p>\n\n<p style='margin-left:.5in;'><b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>Risk Category III </span></b><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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:&quot;Calibri&quot;,&quot;sans-serif&quot;;'>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;'>\u00a0</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_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/ced85968-f00c-4c0a-bc2b-089858c18fe1","harvest_record_raw":"https://catalog.data.gov/harvest_record/ced85968-f00c-4c0a-bc2b-089858c18fe1/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=ebe3ae7f76954fad81411612d7c4fb17&sublayer=1","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-16T19:06:00.620736","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":32,"publisher":"Wake County","slug":"food-inspections-f168d","spatial_centroid":{"lat":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspections","type":"dataset"},{"_score":7.6328278,"_sort":[1789585560420,7.6328278,26,"41c3b6dd-8660-44ed-9ca4-75ee2854c77f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"<div>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</div><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>&nbsp; &nbsp; &nbsp; The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.</span></p><p style='margin-left:.5in;'>&nbsp;</p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Field Descriptions</strong> are available </span><a target='_blank' href='https://maps.wake.gov/metadata/FoodInspectionViolationsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/csv?layers=2","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/geojson?layers=2","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/kml?layers=2","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/9b04d0c39abd4e049cbd4656a0a04ba3/shapefile?layers=2","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/2","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","issued":"2016-08-12T18:35:12.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-16T04:30:20.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9451,35.5378,-78.2691,36.0477","theme":["geospatial"],"title":"Food Inspection Violations"},"description":"<div>The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.</div><p>This dataset captures the restaurants that are inspected.<span>&nbsp; </span>The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.<span>&nbsp;</span></p><p>You can find out additional information about our restaurant inspections on our website:<span>&nbsp; </span><a target='_blank' href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc noopener noreferrer'>Food Safety and Sanitation</a></p><p>This table captures all Wake County sanitation inspections from September 20, 2012 to Present.</p><p>&nbsp;</p><p>This table is part of a set of data that combined will give you a picture of all restaurant inspections.<span>&nbsp; </span>Those three tables are:</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Restaurants: </strong>This table captures all active facilities where Wake County performs sanitations inspections.<span>&nbsp; </span>Facilities that are closed are removed from all three files in this dataset.<span>&nbsp; </span>Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span><strong>Food Inspections: </strong>This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012</span></p><p style='margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>3.</span><span style='font:7.0pt &quot;Times New Roman&quot;;'>&nbsp;&nbsp;&nbsp;&nbsp; </span></span><span style='color:rgb(76,76,76);'><strong>Food Inspection </strong></span><span style='color:black;'><strong>Violations: </strong>This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012.<span>&nbsp; </span>It reports the results in code violations and according to CDC Risk Factors.<span>&nbsp; </span></span>You can find additional information about the CDC Risk Factors on the FDA website: <a target='_blank' href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc noopener noreferrer'><span style='color:blue; font-family:&quot;Helv&quot;,&quot;sans-serif&quot;; font-size:10.0pt;'><span style='text-decoration:none;'>Retail Risk Factor Study</span></span></a></p><p>&nbsp;</p><p>The tables can be connected through the <span style='color:black;'>HSISID field.<span>&nbsp;</span></span></p><p style='text-indent:-.25in;'>&nbsp; &nbsp; &nbsp; The frequency of facility inspections fall under the following rules:</p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected once per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category I </strong>applies to food service establishments that prepare only non-potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected twice per year:</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category II </strong>applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.</span></p><p style='margin-left:.5in;'>&nbsp;</p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Field Descriptions</strong> are available </span><a target='_blank' href='https://maps.wake.gov/metadata/FoodInspectionViolationsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/760e7541-f52f-4bf1-b5e4-6b8b5247a6fb","harvest_record_raw":"https://catalog.data.gov/harvest_record/760e7541-f52f-4bf1-b5e4-6b8b5247a6fb/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-16T19:06:00.420265","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":26,"publisher":"Wake County","slug":"food-inspection-violations","spatial_centroid":{"lat":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspection Violations","type":"dataset"},{"_score":7.1765594,"_sort":[1789585559830,7.1765594,22,"447a7af9-67f8-4991-be0e-e19701f5da73"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"<p>The Wake County health department inspects food service facilities throughout Wake County. 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Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. 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Potentially hazardous raw ingredients shall be received in a ready-to-cook form.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected three times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong>Risk Category III </strong>applies to food service establishments that cook and cool no more than three potentially hazardous foods.</span></p><p style='margin-left:.5in;'><span style='font-family:&quot;Calibri&quot;,&quot;sans-serif&quot;;'><strong><u>Inspected four times per year</u></strong></span></p><p style='margin-left:.5in;'><span style='font-size:12.0pt;'><strong>Risk Category IV </strong>applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. 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The dataset also includes results from the municipal corporations of the Bloomington Housing Authority, Bloomington Transit, and the City of Bloomington Utilities. Note that results listed as \"City Hall\" include results from multiple departments whose employees work only at City Hall. 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per dept per day","type":"dataset"},{"_score":3.1380625,"_sort":[1789585299056,3.1380625,3,"0ef0d556-2377-489c-8299-0677abc11c47"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"Jeremy Herhusky-Schneider","hasEmail":"mailto:no-reply@data.bloomington.in.gov"},"description":"The AccessAbility Decal program is a project of the Council for Community Accessibility (CCA) to recognize local businesses that are accessible to persons with disabilities.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/ergx-jurs/columns.json","describedByType":"application/json","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/ergx-jurs/columns.xml","describedByType":"application/xml","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/ergx-jurs/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.bloomington.in.gov/api/views/ergx-jurs","issued":"2023-09-18","keyword":["accessibility"],"landingPage":"https://data.bloomington.in.gov/d/ergx-jurs","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.bloomington.in.gov"},"theme":["Health & Human Services"],"title":"AccessAbility Decal Recipients"},"description":"The AccessAbility Decal program is a project of the Council for Community Accessibility (CCA) to recognize local businesses that are accessible to persons with disabilities.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/6677a4c7-97c4-49af-8510-d81632068ff9","harvest_record_raw":"https://catalog.data.gov/harvest_record/6677a4c7-97c4-49af-8510-d81632068ff9/raw","has_download":true,"has_spatial":false,"identifier":"https://data.bloomington.in.gov/api/views/ergx-jurs","keyword":["accessibility"],"last_harvested_date":"2026-09-16T19:01:39.056777","organization":{"aliases":["indiana"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7550a5ee-be88-43e1-8dd7-14a5f120ab37","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_bloomington_in.png","name":"City of Bloomington","organization_type":"City Government","slug":"bloomington-in"},"parent_identifier":null,"popularity":3,"publisher":"data.bloomington.in.gov","slug":"accessability-decal-recipients","spatial_centroid":null,"spatial_shape":null,"theme":["Health & Human Services"],"title":"AccessAbility Decal Recipients","type":"dataset"},{"_score":29.823643,"_sort":[1789585264359,29.823643,1,"b1d958c2-a918-4c1d-b7ed-3abc1488898d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p>Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.&nbsp;</p><div>&nbsp;</div><div>This feature layer view shows the testing results from wastewater collection areas which are comprised of merged public sewage drainage basins that flow to a shared testing location for the opioid wastewater study. The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute. The wastewater is tested for the presence of prescription opioid parent drug compounds such as Fentanyl, Oxycodone, Codeine, the illegally made opioid parent drug compound Heroin and opioid metabolite drug compounds including Norfentanyl, 6-Acetylmorphine and Noroxycodone.</div><p><br /><strong>&nbsp;Additional Information&nbsp;</strong><br /><br /><strong>Source:</strong> Arizona State University's Biodesign Institute provided Excel document.&nbsp;<br /><strong>Contact:&nbsp;</strong>Zoe Aiello<br /><strong>Contact email:</strong>&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a><br /><strong>Data Source Type:</strong> Table&nbsp;<br /><strong>Preparation Method:</strong> Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.&nbsp;<br /><strong>Publish Frequency:</strong> Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.&nbsp;<br /><a target='_blank' href='https://gis.tempe.gov/design/data-dictionary/Wastewater%20Opioids/' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/8d7952f468e245cbbafb05f4ee3cf354/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::biomarker-opioids-open-data","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/survey123_a6577bb6895046e48367932f1ea54fe3_results/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=8d7952f468e245cbbafb05f4ee3cf354&sublayer=0","issued":"2023-03-27T16:47:36.000Z","keyword":["Arizona","Tempe","community health","opioids","public health","wastewater"],"landingPage":"https://data.tempe.gov/datasets/tempegov::biomarker-opioids-open-data","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-14T18:48:05.187Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-90.0000,180.0000,90.0000","theme":["geospatial"],"title":"Biomarker  Opioids (open data)"},"description":"<p>Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.&nbsp;</p><div>&nbsp;</div><div>This feature layer view shows the testing results from wastewater collection areas which are comprised of merged public sewage drainage basins that flow to a shared testing location for the opioid wastewater study. The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute. The wastewater is tested for the presence of prescription opioid parent drug compounds such as Fentanyl, Oxycodone, Codeine, the illegally made opioid parent drug compound Heroin and opioid metabolite drug compounds including Norfentanyl, 6-Acetylmorphine and Noroxycodone.</div><p><br /><strong>&nbsp;Additional Information&nbsp;</strong><br /><br /><strong>Source:</strong> Arizona State University's Biodesign Institute provided Excel document.&nbsp;<br /><strong>Contact:&nbsp;</strong>Zoe Aiello<br /><strong>Contact email:</strong>&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a><br /><strong>Data Source Type:</strong> Table&nbsp;<br /><strong>Preparation Method:</strong> Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.&nbsp;<br /><strong>Publish Frequency:</strong> Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.&nbsp;<br /><a target='_blank' href='https://gis.tempe.gov/design/data-dictionary/Wastewater%20Opioids/' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a></p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/0b8cd7d5-819f-419f-b58a-ba65a09f52a7","harvest_record_raw":"https://catalog.data.gov/harvest_record/0b8cd7d5-819f-419f-b58a-ba65a09f52a7/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=8d7952f468e245cbbafb05f4ee3cf354&sublayer=0","keyword":["Arizona","Tempe","community health","opioids","public health","wastewater"],"last_harvested_date":"2026-09-16T19:01:04.359495","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"biomarker-opioids-open-data","spatial_centroid":{"lat":-18.0,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Biomarker  Opioids (open data)","type":"dataset"},{"_score":22.097525,"_sort":[1789585264146,22.097525,3,"98b102b3-88ad-4370-a1dc-b8613cdcf907"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<div>Wastewater collection areas are comprised of merged sewage drainage basins that flow to a shared testing location for the COVID-19 wastewater study. The collection area polygons are published with related wastewater testing data, which are provided by scientists from Arizona State University's Biodesign Institute.</div><div>&nbsp;</div><div>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19. People infected with SARS-CoV-2 excrete the virus in their feces in a process known as \u201cshedding\u201d. The municipal wastewater treatment system (sewage system) collects and aggregates these bathroom contributions across communities.&nbsp;</div><div>&nbsp;</div><div>Tempe wastewater samples are collected downstream of a community and the samples are brought to the ASU lab to analyze for the virus. Analysis is based on the genetic material inside the virus.&nbsp;</div><div>&nbsp;</div><div>About the data:</div><div><ul><li>These data illustrate a trend of the signal of the weekly average of COVID-19 genome copies per liter of wastewater in Tempe's sewage. The dashboard and collection area map do not depict the number of individuals infected.&nbsp;</li><li>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It does not reflect the specific location where the deposit occurs.</li><li>While testing can successfully quantify the results, research has not yet determined the relationship between these genome values and the number of people who are positive for COVID-19 in the community.</li><li>The quantity of RNA detected in sewage is real; the interpretation of that signal and its implication for public health is ongoing research. Currently, there is not a baseline for determining a strong or weak signal.</li><li>The shedding rate and shedding duration for individuals, both symptomatic and asymptomatic, is still unknown.</li><li>Data are shared as the testing results become available.&nbsp; As results may not be released at the same time, testing results for each area may not yet be seen for a given day or week.&nbsp;</li><li>The dashboard presents the weekly averages. Data are collected from 2-7 days per week.&nbsp;</li><li>The quantifiable level of 5,000 copies per liter is the lowest amount measurable with current testing. Results that are below the quantifiable level of 5,000 copies per liter do not suggest the absence of the virus in the collection area. It is possible to have results below the quantifiable level of 5,000 on one day/week and then have a greater signal on a subsequent day/week.</li><li>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up the majority of Collection Area 1 samples. After the collection period of April 7-24, 2020, Collection Area 1 samples include only Tempe wastewater.</li><li>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line.&nbsp; For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage.&nbsp;&nbsp;</li></ul><p><strong>Additional Information</strong></p><div>Source:&nbsp;</div><div>Contact:&nbsp;Zoe Aiello</div><div>Contact email:&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></div><div>Preparation Method:&nbsp;</div><div>Publish Frequency:&nbsp;Weekly or as data becomes available</div><div>Publish Method: Manual</div><div>Data Dictionary (pending)</div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/excel?layers=0","format":"XLSX","mediaType":"application/vnd.ms-excel","title":"Excel"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/featureCollection?layers=0","format":"TXT","mediaType":"text/plain","title":"Feature Collection"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/filegdb?layers=0","format":"ZIP","mediaType":"application/zip","title":"File Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/geoPackage?layers=0","format":"GPKG","mediaType":"application/geopackage+sqlite3","title":"GeoPackage"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/c921c8af868f4e17b857c390543c5250/sqlite?layers=0","format":"GDB","mediaType":"application/geopackage+sqlite3","title":"SQLite Geodatabase"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::wastewater-testing-covid-19-results-public-view","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/survey123_fac3a0c99eb642a6a36737773816d2a7_results/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=c921c8af868f4e17b857c390543c5250&sublayer=0","issued":"2023-07-26T17:49:00.000Z","keyword":["Arizona","COVID 19","Tempe","biomarker","community health","public health","wastewater"],"landingPage":"https://data.tempe.gov/datasets/tempegov::wastewater-testing-covid-19-results-public-view","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-14T18:38:58.133Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-90.0000,180.0000,90.0000","theme":["geospatial"],"title":"Wastewater Testing COVID-19 Results (Public View)"},"description":"<div>Wastewater collection areas are comprised of merged sewage drainage basins that flow to a shared testing location for the COVID-19 wastewater study. The collection area polygons are published with related wastewater testing data, which are provided by scientists from Arizona State University's Biodesign Institute.</div><div>&nbsp;</div><div>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19. People infected with SARS-CoV-2 excrete the virus in their feces in a process known as \u201cshedding\u201d. The municipal wastewater treatment system (sewage system) collects and aggregates these bathroom contributions across communities.&nbsp;</div><div>&nbsp;</div><div>Tempe wastewater samples are collected downstream of a community and the samples are brought to the ASU lab to analyze for the virus. Analysis is based on the genetic material inside the virus.&nbsp;</div><div>&nbsp;</div><div>About the data:</div><div><ul><li>These data illustrate a trend of the signal of the weekly average of COVID-19 genome copies per liter of wastewater in Tempe's sewage. The dashboard and collection area map do not depict the number of individuals infected.&nbsp;</li><li>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It does not reflect the specific location where the deposit occurs.</li><li>While testing can successfully quantify the results, research has not yet determined the relationship between these genome values and the number of people who are positive for COVID-19 in the community.</li><li>The quantity of RNA detected in sewage is real; the interpretation of that signal and its implication for public health is ongoing research. Currently, there is not a baseline for determining a strong or weak signal.</li><li>The shedding rate and shedding duration for individuals, both symptomatic and asymptomatic, is still unknown.</li><li>Data are shared as the testing results become available.&nbsp; As results may not be released at the same time, testing results for each area may not yet be seen for a given day or week.&nbsp;</li><li>The dashboard presents the weekly averages. Data are collected from 2-7 days per week.&nbsp;</li><li>The quantifiable level of 5,000 copies per liter is the lowest amount measurable with current testing. Results that are below the quantifiable level of 5,000 copies per liter do not suggest the absence of the virus in the collection area. It is possible to have results below the quantifiable level of 5,000 on one day/week and then have a greater signal on a subsequent day/week.</li><li>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up the majority of Collection Area 1 samples. After the collection period of April 7-24, 2020, Collection Area 1 samples include only Tempe wastewater.</li><li>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line.&nbsp; For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage.&nbsp;&nbsp;</li></ul><p><strong>Additional Information</strong></p><div>Source:&nbsp;</div><div>Contact:&nbsp;Zoe Aiello</div><div>Contact email:&nbsp;<a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></div><div>Preparation Method:&nbsp;</div><div>Publish Frequency:&nbsp;Weekly or as data becomes available</div><div>Publish Method: Manual</div><div>Data Dictionary (pending)</div></div>","distribution_titles":["CSV","Excel","Feature Collection","File Geodatabase","GeoPackage","GeoJSON","KML","Shapefile","SQLite Geodatabase","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/644a26e7-f0e7-4e34-babf-7b6f4f7b47d2","harvest_record_raw":"https://catalog.data.gov/harvest_record/644a26e7-f0e7-4e34-babf-7b6f4f7b47d2/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=c921c8af868f4e17b857c390543c5250&sublayer=0","keyword":["Arizona","COVID 19","Tempe","biomarker","community health","public health","wastewater"],"last_harvested_date":"2026-09-16T19:01:04.146191","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":3,"publisher":"City of Tempe","slug":"wastewater-testing-covid-19-results-public-view","spatial_centroid":{"lat":-18.0,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-90.0],[-180.0,90.0],[180.0,90.0],[180.0,-90.0],[-180.0,-90.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Wastewater Testing COVID-19 Results (Public View)","type":"dataset"},{"_score":15.458291,"_sort":[1789585263082,15.458291,5,"bc735ea0-7765-4e71-b09d-1a30a8afcccb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='margin-left:0.25in;'><b>The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. T</b><b>his approximated location data is also shown on the dashboard.</b></p><p style='margin-left:0.25in;'><font size='4'>This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0<br /></font></p><p style='margin-left:0.25in;'><font size='4'><b>Opioid Abuse Probable</b><br /></font></p><p style='margin-left:0.25in;'><font size='4'>A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>Are there are any medical symptoms indicative of opioid abuse?<br /></font></li><li><font size='4'>Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?<br /></font></li><li><font size='4'>Are there witnesses or patient statements made that point to opioid abuse?<br /></font></li><li><font size='4'>Is there any other evidence that opioid abuse is probable with the patient?<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><font size='4'>\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0</font></p><p style='margin-left:0.25in;'><b><font size='4'>Narcan/Naloxone Given</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.</font></p><p style='margin-left:0.25in;'><b><font size='4'>Groups</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.<br /></font></li><li><font size='4'>The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe\u2019s Veterans and Homeless programs.\u00a0 Since these data sets were being evaluated already, they were included in the opioid data collection as well.<br /></font></li><li><font size='4'>The \u201cunknown\u201d group includes incidents where a patient is unable to answer or refuses to answer the demographic questions.\u00a0\u00a0<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><b><font size='4'>Gender</font></b></p><p style='margin-left:0.25in;'><font size='4'>Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0</font></p><p style='margin-left:0.25in;'><font size='4'>Information about the data can be found at\u00a0</font><a href='https://bit.ly/2xXbD20' target='_blank' rel='nofollow ugc noopener noreferrer'>https://bit.ly/2xXbD20</a></p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Opioid_Calls/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","issued":"2019-04-22T22:08:55.000Z","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"landingPage":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-15T04:00:26.347Z","publisher":{"name":"City of Tempe"},"spatial":"-112.0095,33.3030,33.4090,33.4860","theme":["geospatial"],"title":"Opioid EMS Calls"},"description":"<p style='margin-left:0.25in;'><b>The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. T</b><b>his approximated location data is also shown on the dashboard.</b></p><p style='margin-left:0.25in;'><font size='4'>This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0<br /></font></p><p style='margin-left:0.25in;'><font size='4'><b>Opioid Abuse Probable</b><br /></font></p><p style='margin-left:0.25in;'><font size='4'>A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>Are there are any medical symptoms indicative of opioid abuse?<br /></font></li><li><font size='4'>Are there physical indicators on scene (i.e. drug paraphernalia, pill bottles, etc.)?<br /></font></li><li><font size='4'>Are there witnesses or patient statements made that point to opioid abuse?<br /></font></li><li><font size='4'>Is there any other evidence that opioid abuse is probable with the patient?<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><font size='4'>\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0</font></p><p style='margin-left:0.25in;'><b><font size='4'>Narcan/Naloxone Given</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.</font></p><p style='margin-left:0.25in;'><b><font size='4'>Groups</font></b></p><p style='margin-left:0.25in;'><font size='4'>\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0</font></p><p style='margin-left:0.25in;'></p><ul><li><font size='4'>The student population at ASU was being examined for other purposes to determine ASU's overall call volume impact in Tempe. Data collection with the university is consistent with Fire Departments who provide service to the other PAC 12 universities. Since this data set was already being evaluated, it was included in the opioid data collection as well.<br /></font></li><li><font size='4'>The Veteran and Homeless Groups were established as demographic tabs to identify trends and determine needs in conjunction with the City of Tempe\u2019s Veterans and Homeless programs.\u00a0 Since these data sets were being evaluated already, they were included in the opioid data collection as well.<br /></font></li><li><font size='4'>The \u201cunknown\u201d group includes incidents where a patient is unable to answer or refuses to answer the demographic questions.\u00a0\u00a0<br /></font></li></ul><p></p><p style='margin-left:0.25in;'></p><p style='margin-left:0.25in;'><b><font size='4'>Gender</font></b></p><p style='margin-left:0.25in;'><font size='4'>Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0</font></p><p style='margin-left:0.25in;'><font size='4'>Information about the data can be found at\u00a0</font><a href='https://bit.ly/2xXbD20' target='_blank' rel='nofollow ugc noopener noreferrer'>https://bit.ly/2xXbD20</a></p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/380c00e3-ca64-4e54-b07c-43e594db5ab1","harvest_record_raw":"https://catalog.data.gov/harvest_record/380c00e3-ca64-4e54-b07c-43e594db5ab1/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"last_harvested_date":"2026-09-16T19:01:03.082231","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":5,"publisher":"City of Tempe","slug":"opioid-ems-calls","spatial_centroid":{"lat":33.3762,"lon":-53.8421},"spatial_shape":{"coordinates":[[[-112.0095,33.303],[-112.0095,33.486],[33.409,33.486],[33.409,33.303],[-112.0095,33.303]]],"type":"Polygon"},"theme":["geospatial"],"title":"Opioid EMS Calls","type":"dataset"},{"_score":27.21689,"_sort":[1789585259808,27.21689,1,"2b0ff021-a4db-45a7-a4fb-7ff8a6331354"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p>This dataset supports the\u202f<a target='_blank' href='https://wastewater.tempe.gov/pages/biomarker-measles' rel='nofollow ugc noopener noreferrer'>Biomarker: Measles page</a> on the\u202fTempe Wastewater BioIntel Program site.</p><p>People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people. &nbsp;</p><p>Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. &nbsp;Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. &nbsp;Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.</p><p>At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.</p><p>For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s <a target='_blank' href='https://wastewater.tempe.gov/pages/how-we-do-it' rel='nofollow ugc noopener noreferrer'>\u201cHow We Do It\u201d webpage</a>.&nbsp;</p><p><strong>About the data: &nbsp;</strong></p><ul><li><span style='font-size:16px;'>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It cannot identify the specific location where the virus originated. &nbsp;</span></li><li><span style='font-size:16px;'>While wastewater data can follow trends in reported infections, it cannot determine who or how many people may be sick.</span></li><li><span style='font-size:16px;'>A non-detect in wastewater does not necessarily mean measles is not present in the community. &nbsp;Wastewater data may not capture every possible source of exposure in the community as not everyone contributes to the City\u2019s wastewater system. &nbsp;For example, visitors passing through the community may not use restroom facilities while they are here, and residents who rely on septic systems are not connected to the municipal sewer system. Additionally, detections can be influenced by several factors, including the sensitivity of the laboratory test, how much virus infected people are shedding, the number of infected individuals contributing to the system, and normal variability in wastewater conditions. For these reasons, wastewater monitoring is one tool among many and is interpreted alongside other community health data.</span></li><li><span style='font-size:16px;'>The role of wastewater data in shaping future community health decisions continues to evolve. This data should not be interpreted in isolation. Wastewater results are most meaningful when considered alongside other health information, such as clinical case data and community health indicators. We share this information with transparency and care. While the data reflects scientific laboratory findings, the practical interpretation of these laboratory findings is still being studied. By making this information publicly available, we aim to support awareness, research, and informed community dialogue.</span></li><li><span style='font-size:16px;'>Data are shared as the testing results become available.</span></li><li><span style='font-size:16px;'>Samples are collected 2 days per week. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up most of Collection Area 1 samples. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line. &nbsp;For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage. &nbsp; &nbsp;</span></li><li><span style='font-size:16px;'>Week start date represents the starting date of the testing week, which starts on Mondays and ends on Sundays.\u202f&nbsp;</span></li></ul><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/wastewater-biomarker' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.</p><p><strong>Contact:</strong> &nbsp;Zoe Aiello</p><p><strong>Contact email:&nbsp;</strong> <a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></p><p><strong>Preparation Method:</strong> &nbsp;Test results are provided by TGen.&nbsp;</p><p><strong>Publish Frequency:</strong> &nbsp;Weekly or as data becomes available</p><p><strong>Publish Method:</strong> Manual&nbsp;</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Biomarker_Measles_(public_view)/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","issued":"2026-02-13T22:19:14.000Z","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"landingPage":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-14T18:10:52.682Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-89.0000,180.0000,89.0000","theme":["geospatial"],"title":"Biomarker Measles (Dataset)"},"description":"<p>This dataset supports the\u202f<a target='_blank' href='https://wastewater.tempe.gov/pages/biomarker-measles' rel='nofollow ugc noopener noreferrer'>Biomarker: Measles page</a> on the\u202fTempe Wastewater BioIntel Program site.</p><p>People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people. &nbsp;</p><p>Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. &nbsp;Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. &nbsp;Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.</p><p>At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.</p><p>For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s <a target='_blank' href='https://wastewater.tempe.gov/pages/how-we-do-it' rel='nofollow ugc noopener noreferrer'>\u201cHow We Do It\u201d webpage</a>.&nbsp;</p><p><strong>About the data: &nbsp;</strong></p><ul><li><span style='font-size:16px;'>Each collection area includes at least one sampling location, which collects wastewater from across the collection area. It cannot identify the specific location where the virus originated. &nbsp;</span></li><li><span style='font-size:16px;'>While wastewater data can follow trends in reported infections, it cannot determine who or how many people may be sick.</span></li><li><span style='font-size:16px;'>A non-detect in wastewater does not necessarily mean measles is not present in the community. &nbsp;Wastewater data may not capture every possible source of exposure in the community as not everyone contributes to the City\u2019s wastewater system. &nbsp;For example, visitors passing through the community may not use restroom facilities while they are here, and residents who rely on septic systems are not connected to the municipal sewer system. Additionally, detections can be influenced by several factors, including the sensitivity of the laboratory test, how much virus infected people are shedding, the number of infected individuals contributing to the system, and normal variability in wastewater conditions. For these reasons, wastewater monitoring is one tool among many and is interpreted alongside other community health data.</span></li><li><span style='font-size:16px;'>The role of wastewater data in shaping future community health decisions continues to evolve. This data should not be interpreted in isolation. Wastewater results are most meaningful when considered alongside other health information, such as clinical case data and community health indicators. We share this information with transparency and care. While the data reflects scientific laboratory findings, the practical interpretation of these laboratory findings is still being studied. By making this information publicly available, we aim to support awareness, research, and informed community dialogue.</span></li><li><span style='font-size:16px;'>Data are shared as the testing results become available.</span></li><li><span style='font-size:16px;'>Samples are collected 2 days per week. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 1, Tempe's wastewater co-mingles with wastewater from a regional sewage line. Tempe's sewage makes up most of Collection Area 1 samples. &nbsp;</span></li><li><span style='font-size:16px;'>For Collection Area 3, Tempe's wastewater co-mingles with wastewater from a regional sewage line. &nbsp;For analysis and reporting, Tempe\u2019s wastewater is separated from regional sewage. &nbsp; &nbsp;</span></li><li><span style='font-size:16px;'>Week start date represents the starting date of the testing week, which starts on Mondays and ends on Sundays.\u202f&nbsp;</span></li></ul><p><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/wastewater-biomarker' rel='nofollow ugc noopener noreferrer'><span style='font-size:18px;'><strong>Data Dictionary</strong></span></a></p><p><span style='font-size:18px;'><strong>Additional Information</strong></span></p><p><strong>Source:</strong> The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.</p><p><strong>Contact:</strong> &nbsp;Zoe Aiello</p><p><strong>Contact email:&nbsp;</strong> <a href='mailto:Zoe_Aiello@tempe.gov' rel='nofollow ugc'>Zoe_Aiello@tempe.gov</a></p><p><strong>Preparation Method:</strong> &nbsp;Test results are provided by TGen.&nbsp;</p><p><strong>Publish Frequency:</strong> &nbsp;Weekly or as data becomes available</p><p><strong>Publish Method:</strong> Manual&nbsp;</p>","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/cffce119-ec31-48d5-9aab-b0827fc6a0d5","harvest_record_raw":"https://catalog.data.gov/harvest_record/cffce119-ec31-48d5-9aab-b0827fc6a0d5/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"last_harvested_date":"2026-09-16T19:00:59.808708","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"biomarker-measles-dataset","spatial_centroid":{"lat":-17.8,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-89.0],[-180.0,89.0],[180.0,89.0],[180.0,-89.0],[-180.0,-89.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Biomarker Measles (Dataset)","type":"dataset"},{"_score":2.756586,"_sort":[1789585248071,2.756586,3,"b7cc7a9c-9b0c-44da-bb78-df9cf495e0f1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The Code Compliance Composite Score is a self-evaluation tool that helps to show the City Council and the residents of Tempe how the Code Compliance Division is performing. This composite score encompasses four (4) key components of understanding how well the Code Compliance Division impacts the City of Tempe: the satisfaction levels of our residents, the satisfaction levels of our businesses, an examination of the actual condition of the City, and the number of properties in violation with our City Codes. To attain this score, the Code Compliance Division performs a series of Audits and a series of Surveys, and combines them together for an overall score.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>View this performance measure dashboard at </span></span><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://performance.tempe.gov/' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>performance.tempe.gov</span></span></a><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>. Select <strong>Quality of Life</strong>, then select the link for Performance Measure 3.01.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/health-and-social-wellbeing/3.01-code-compliance-composite-score' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Drew Yocom</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Drew_Yocom@tempe.gov' rel='nofollow ugc'>Drew_Yocom@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Compiled from audit and survey results</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/6f64980a894b42a398b9291bf1d041cb/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/6f64980a894b42a398b9291bf1d041cb/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/6f64980a894b42a398b9291bf1d041cb/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/6f64980a894b42a398b9291bf1d041cb/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::3-01-code-compliance-composite-score-summary","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/3.01_Code_Compliance_Composite_Score_(summary)_-_OD/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=6f64980a894b42a398b9291bf1d041cb&sublayer=0","issued":"2026-09-02T01:49:29.000Z","keyword":["Audit","Code Compliance Composite Score (PM 3.01)","Code Enforcement","Community Development","Quality of Life"],"landingPage":"https://data.tempe.gov/datasets/tempegov::3-01-code-compliance-composite-score-summary","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-11T22:29:18.218Z","publisher":{"name":"City of Tempe"},"spatial":"\"\"","theme":["geospatial"],"title":"3.01 Code Compliance Composite Score (summary)"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The Code Compliance Composite Score is a self-evaluation tool that helps to show the City Council and the residents of Tempe how the Code Compliance Division is performing. This composite score encompasses four (4) key components of understanding how well the Code Compliance Division impacts the City of Tempe: the satisfaction levels of our residents, the satisfaction levels of our businesses, an examination of the actual condition of the City, and the number of properties in violation with our City Codes. To attain this score, the Code Compliance Division performs a series of Audits and a series of Surveys, and combines them together for an overall score.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>View this performance measure dashboard at </span></span><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://performance.tempe.gov/' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>performance.tempe.gov</span></span></a><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>. Select <strong>Quality of Life</strong>, then select the link for Performance Measure 3.01.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/health-and-social-wellbeing/3.01-code-compliance-composite-score' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Drew Yocom</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Drew_Yocom@tempe.gov' rel='nofollow ugc'>Drew_Yocom@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:medium;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Compiled from audit and survey results</span></span></div><div style='border:0px solid currentcolor; 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It deals with pending charges and life situations, providing individualized treatment to reduce reoffending and improve participants' quality of life.\u00a0</div><div><br /></div><div>The East Valley Regional Veterans Court, involving Chandler, Carefree-Cave Creek, Fountain Hills, Gilbert, Paradise Valley, Scottsdale, and Tempe Municipal Courts, aims to improve the quality of life for Arizona Veterans. A collaborative effort addresses pending charges and life situations, expediting access to Veteran-specific resources and ensuring Veterans meet obligations through tailored plans. 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Since some beds are gender-specific, it might be your turn even if your name does not appear in the first few rows. Make sure you search your waitlist ID to see if there are instructions to call in. Learn how to claim your bed on the FAQs page.\n\nIf you haven\u2019t already registered, get instructions about how to sign up online or by phone. You can only have one entry in the waitlist at one time.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/w4sk-nq57/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/w4sk-nq57/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/w4sk-nq57/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/w4sk-nq57","issued":"2024-02-23","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/w4sk-nq57","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-15","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"HSH Shelter Waitlist"},"description":"<strong>A. 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Since some beds are gender-specific, it might be your turn even if your name does not appear in the first few rows. Make sure you search your waitlist ID to see if there are instructions to call in. Learn how to claim your bed on the FAQs page.\n\nIf you haven\u2019t already registered, get instructions about how to sign up online or by phone. You can only have one entry in the waitlist at one time.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/4513e102-7676-4cc5-8551-ecc6ba1f9b5b","harvest_record_raw":"https://catalog.data.gov/harvest_record/4513e102-7676-4cc5-8551-ecc6ba1f9b5b/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/w4sk-nq57","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:50:05.377435","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"hsh-shelter-waitlist","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"HSH Shelter Waitlist","type":"dataset"},{"_score":13.032972,"_sort":[1789584604751,13.032972,2,"4c7837f1-1db0-45e1-8780-21162a369d05"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset represents probable or confirmed mpox cases among San Francisco residents. Cases are included by the episode date, defined as either the date when self-reported symptoms began or, if that date is not available, the date the positive test was collected (i.e., specimen collection date). \n\nData are lagged by 5 days, meaning that the most recent date of self-reported symptom or specimen collection included is 1 day prior to today. All data update daily as more information becomes available. \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nCase information is based on confirmed or probable positive laboratory tests reported to the San Francisco Department of Public Health. Processes to provide quality assurance and other data verification are completed before the data are reported. \n\nThis data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. \n\nData are continually updated to maximize completeness of information and reporting on San Francisco residents with confirmed or probable mpox.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates to the data are made through automated and manual processes once each day, Monday through Friday.  \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new cases and cumulative cases (probable and confirmed) by episode date. Episode date is the date of self-reported symptom onset, or, if not available, date of specimen collection (i.e., the date the person was tested). \n\nNew cases are the count of cases with a symptom onset or specimen collection date on the given episode date. Cumulative cases are the running total of all San Francisco cases through the episode date listed.\n\n<strong>D. CHANGE LOG</strong>\n6/15/2023 - added \"data_updated_at\" column to reference the last date the data was compiled by scripts.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vi7r-brsi/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vi7r-brsi/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vi7r-brsi/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/vi7r-brsi","issued":"2023-06-15","keyword":["monkeypox"],"landingPage":"https://data.sf.gov/d/vi7r-brsi","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Mpox Cases Over Time"},"description":"<strong>A. 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Processes to provide quality assurance and other data verification are completed before the data are reported. \n\nThis data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. \n\nData are continually updated to maximize completeness of information and reporting on San Francisco residents with confirmed or probable mpox.\n\n<strong>C. UPDATE PROCESS</strong>\nUpdates to the data are made through automated and manual processes once each day, Monday through Friday.  \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nThis dataset shows new cases and cumulative cases (probable and confirmed) by episode date. Episode date is the date of self-reported symptom onset, or, if not available, date of specimen collection (i.e., the date the person was tested). \n\nNew cases are the count of cases with a symptom onset or specimen collection date on the given episode date. Cumulative cases are the running total of all San Francisco cases through the episode date listed.\n\n<strong>D. CHANGE LOG</strong>\n6/15/2023 - added \"data_updated_at\" column to reference the last date the data was compiled by scripts.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/5bb4ac82-2c45-44e5-91d4-f29b43b1783c","harvest_record_raw":"https://catalog.data.gov/harvest_record/5bb4ac82-2c45-44e5-91d4-f29b43b1783c/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vi7r-brsi","keyword":["monkeypox"],"last_harvested_date":"2026-09-16T18:50:04.751698","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":2,"publisher":"data.sf.gov","slug":"mpox-cases-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Mpox Cases Over Time","type":"dataset"},{"_score":13.267191,"_sort":[1789584604291,13.267191,4,"374f22e6-71ff-41c8-ad59-226d7c041e6e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThe Municipal Natural Gas Equipment Inventory serves to catalog natural gas-fueled equipment used in municipally owned buildings. \nThis inventory, implemented by the SF Environment Department, aims to establish an understanding of the scope of work needed to electrify municipal buildings and inform an effective and collaborative planning process.\nThis effort was identified as an action in Section BO-2.4 of the  <u><a href=\"https://www.sfenvironment.org/files/events/2021_climate_action_plan.pdf\">2021 Climate Action Plan</a></u> and is included in the <u><a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-577\">Environment Code Chapter 7</a></u> (Municipal Green Building Requirements). \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nIt is important to note that this dataset does not include facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities, in accordance with Environment Code Chapter 7 exemptions.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/vc6r-v7av","issued":"2024-03-28","keyword":["environment","environmental health","greenhouse gas emissions","natural gas"],"landingPage":"https://data.sf.gov/d/vc6r-v7av","modified":"2026-09-11","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"San Francisco Municipal Natural Gas Equipment Inventory"},"description":"<strong>A. 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HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nIt is important to note that this dataset does not include facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities, in accordance with Environment Code Chapter 7 exemptions.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/329bcedf-df1e-46c4-ad33-f4ed967101f6","harvest_record_raw":"https://catalog.data.gov/harvest_record/329bcedf-df1e-46c4-ad33-f4ed967101f6/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/vc6r-v7av","keyword":["environment","environmental health","greenhouse gas emissions","natural gas"],"last_harvested_date":"2026-09-16T18:50:04.291783","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":4,"publisher":"data.sf.gov","slug":"san-francisco-municipal-natural-gas-equipment-inventory","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"San Francisco Municipal Natural Gas Equipment Inventory","type":"dataset"},{"_score":22.177553,"_sort":[1789584604039,22.177553,0,"c3fbbc59-9995-4c16-9025-36785ce5b8e9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"Development projects that are located on sites with known or suspected soil and/or groundwater contamination are subject to the provisions of Health Code Article 22A, which is administered by the Department of Public Health (DPH).  This layer shows these areas.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v5ic-hjgw/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v5ic-hjgw/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v5ic-hjgw/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/v5ic-hjgw","issued":"2026-09-16","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/v5ic-hjgw","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"Maher"},"description":"Development projects that are located on sites with known or suspected soil and/or groundwater contamination are subject to the provisions of Health Code Article 22A, which is administered by the Department of Public Health (DPH).  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Both agencies participate in sample collection; the San Francisco Water, Power and Sewer Microbiology Laboratory performs bacteriological analyses.\n\nMore information: \nhttps://sfwater.org/index.aspx?page=87\nhttps://sfwater.org/sapps/beachesandbay.html","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v3fv-x3ux/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/v3fv-x3ux/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/v3fv-x3ux/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/v3fv-x3ux","issued":"2024-04-25","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/v3fv-x3ux","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"Beach Water Quality Monitoring"},"description":"Working with the San Francisco Department of Public Health (SFDPH), we jointly administer the beach water quality monitoring program in San Francisco. Both agencies participate in sample collection; the San Francisco Water, Power and Sewer Microbiology Laboratory performs bacteriological analyses.\n\nMore information: \nhttps://sfwater.org/index.aspx?page=87\nhttps://sfwater.org/sapps/beachesandbay.html","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/b6e90ee9-f249-4d98-8a82-d3fef43fb6c8","harvest_record_raw":"https://catalog.data.gov/harvest_record/b6e90ee9-f249-4d98-8a82-d3fef43fb6c8/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/v3fv-x3ux","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:50:03.816704","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":3,"publisher":"data.sf.gov","slug":"beach-water-quality-monitoring","spatial_centroid":null,"spatial_shape":null,"theme":["Energy and Environment"],"title":"Beach Water Quality Monitoring","type":"dataset"},{"_score":56.14454,"_sort":[1789584602293,56.14454,1,"ae4c2817-0e6e-4f7a-916f-9484b62625af"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<b><i>The San Francisco Department of Public Health is transitioning to a new electronic health record for substance use treatment services. During this period, data updates for methadone, residential treatment admissions, and withdrawal management discharges will be paused. SFDPH will update these tables as soon as data becomes available. Data for buprenorphine and naloxone is not affected. </i></b>\n\n<strong>A. SUMMARY</strong> \nThis dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. \n\nThis dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. \n\nFinally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). \n\nThe number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. \n\nThe number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded.  \n\nPeople may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. \n\nFor more information on where to find treatment in San Francisco, visit <u><a href= \"https://findtreatment-sf.org/\">findtreatment-sf.org</a></u>.\u202f \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. \n\n<strong>C. UPDATE PROCESS</strong> \nResidential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThroughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not ac","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubf6-e57x/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ubf6-e57x/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ubf6-e57x/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/ubf6-e57x","issued":"2023-09-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/ubf6-e57x","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-15","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"San Francisco Department of Public Health Substance Use Services"},"description":"<b><i>The San Francisco Department of Public Health is transitioning to a new electronic health record for substance use treatment services. During this period, data updates for methadone, residential treatment admissions, and withdrawal management discharges will be paused. SFDPH will update these tables as soon as data becomes available. Data for buprenorphine and naloxone is not affected. </i></b>\n\n<strong>A. SUMMARY</strong> \nThis dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. \n\nThis dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. \n\nFinally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). \n\nThe number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. \n\nThe number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded.  \n\nPeople may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. \n\nFor more information on where to find treatment in San Francisco, visit <u><a href= \"https://findtreatment-sf.org/\">findtreatment-sf.org</a></u>.\u202f \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nThis dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. \n\n<strong>C. UPDATE PROCESS</strong> \nResidential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. \n\n<strong>D. HOW TO USE THIS DATASET</strong> \nThroughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not ac","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/d5985c1e-4c4f-4add-a796-17e809688fe9","harvest_record_raw":"https://catalog.data.gov/harvest_record/d5985c1e-4c4f-4add-a796-17e809688fe9/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ubf6-e57x","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:50:02.293147","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"san-francisco-department-of-public-health-substance-use-services","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"San Francisco Department of Public Health Substance Use Services","type":"dataset"},{"_score":64.917435,"_sort":[1789584601352,64.917435,5,"2476dee5-9cb1-40e5-85b0-e67d20dd1df0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2024 to Present. It includes the name and location of each facility inspected, the facility status (Pass, Conditional Pass, or Closure) after the inspection, and violations observed. \n\n<strong>HOW THIS DATASET IS CREATED</strong> \nAfter inspecting a facility, a Health Inspector assigns a facility status based on observed violations and health risk.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset will be updated monthly.\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2024-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tvy3-wexg/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/tvy3-wexg/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/tvy3-wexg/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/tvy3-wexg","issued":"2025-07-01","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/tvy3-wexg","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Health Inspection Scores (2024-Present)"},"description":"<strong>SUMMARY</strong>\nThis dataset contains the results of health inspections conducted by the Department of Public Health from 2024 to Present. It includes the name and location of each facility inspected, the facility status (Pass, Conditional Pass, or Closure) after the inspection, and violations observed. \n\n<strong>HOW THIS DATASET IS CREATED</strong> \nAfter inspecting a facility, a Health Inspector assigns a facility status based on observed violations and health risk.\n\n<strong>UPDATE PROCESS</strong>\nThis dataset will be updated monthly.\n\n<strong>RELATED DATASETS</strong>\n<li><u><a href=\"https://data.sfgov.org/d/tvy3-wexg\">Health Inspections (2024-Present)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/5tti-66ds\">Health Inspections (2020-2023)</a></u>\n<li><u><a href=\"https://data.sfgov.org/d/pyih-qa8i\">Health Inspections (2016-2019)</a></u>\n<li><u><a href=\"https://inspections.myhealthdepartment.com/san-francisco\">Inspection lookup tool</a></u>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/e4e55050-a062-4d36-b745-0d27884dd73c","harvest_record_raw":"https://catalog.data.gov/harvest_record/e4e55050-a062-4d36-b745-0d27884dd73c/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/tvy3-wexg","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:50:01.352379","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":5,"publisher":"data.sf.gov","slug":"health-inspection-scores-2024-present","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Health Inspection Scores (2024-Present)","type":"dataset"},{"_score":10.234646,"_sort":[1789584596102,10.234646,0,"526987d8-55e9-49a9-b538-2f696e3a97db"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents all San Francisco (SF) residents who have received a vaccine for certain respiratory viruses that circulate more heavily in the fall and winter months. All vaccines given to SF residents are included, even if they received their vaccination elsewhere in California. The data are broken down by demographic and geographical stratifications. \n\n<strong>COVID-19:</strong>\nThis dataset represents all SF residents who are considered up to date on their COVID-19 vaccine. A person is up to date if they have received at least one dose of the 2025\u20132026 COVID-19 vaccine.  <a href=\"https://data.ca.gov/dataset/covid-19-vaccine-progress-dashboard-data\">The specific up-to-date criteria can be found on the California Department of Public Health (CDPH) website</a>.  \n\n(Note: As of November 2024, this dataset only contains data regarding COVID-19 vaccinations. This documentation will be updated as other seasonal vaccination data is added). \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in SF is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by CDPH. The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n \nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2018-2022 American Community Survey (ACS) population estimates for each demographic group and analysis neighborhood.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET</strong> \nSF population estimates for race/ethnicity and age groups can be found in a <a href = \"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-demographics-population-esti/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. SF population estimates for analysis neighborhoods can be found in a <a href=\"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-geography-population-estimat/35v5-seg9\">view based on the San Francisco Population and Geography Census dataset</a>. Both of these views use population estimates from the 2018-2022 5-year ACS. \n \nBefore analysis, you must filter the dataset to the desired stratification of data using the \u201cvaccine_type\u201d and \"demographic_group\" columns. For example, filtering \u201cvaccine_type\u201d to \u201cCOVID-19\u201d will allow you to only look at rows corresponding to COVID-19 vaccinations. Filtering \u201cdemographic_subgroup\u201d to \u201cAnalysis Neighborhood\u201d will allow you to only look at rows corresponding to SF neighborhoods. You can then calculate the percentages of those up to date with their COVID-19 vaccinations by neighborhood. The \u201cvaccine_subtype\u201d field provides information about the current vaccine product being tracked in this dataset.\n\n<strong>E. CHANGE LOG</strong>\n<LI>10/6/2025 - Dataset updated to reflect up to date status for the 2025-2026 monovalent formulation of the COVID-19 vaccine.\n<LI>11/5/2024 - Dataset updated to reflect up to date status for the 2024-2025 monovalent formulation of the COVID-19 vaccine.\n<LI>7/2/2024 - Population estimates were updated to reflect the most recent ACS data.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/q6g7-y2et/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/q6g7-y2et/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/q6g7-y2et/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/q6g7-y2et","issued":"2023-10-24","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/q6g7-y2et","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-15","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Current Season Viral Respiratory Vaccinations"},"description":"<strong>A. SUMMARY</strong> \nThis dataset represents all San Francisco (SF) residents who have received a vaccine for certain respiratory viruses that circulate more heavily in the fall and winter months. All vaccines given to SF residents are included, even if they received their vaccination elsewhere in California. The data are broken down by demographic and geographical stratifications. \n\n<strong>COVID-19:</strong>\nThis dataset represents all SF residents who are considered up to date on their COVID-19 vaccine. A person is up to date if they have received at least one dose of the 2025\u20132026 COVID-19 vaccine.  <a href=\"https://data.ca.gov/dataset/covid-19-vaccine-progress-dashboard-data\">The specific up-to-date criteria can be found on the California Department of Public Health (CDPH) website</a>.  \n\n(Note: As of November 2024, this dataset only contains data regarding COVID-19 vaccinations. This documentation will be updated as other seasonal vaccination data is added). \n\n<strong>B. HOW THE DATASET IS CREATED</strong> \nInformation on doses administered to those who live in SF is from the <a href=\"https://cdph.ca.gov/CAIR\">California Immunization Registry (CAIR2)</a>, run by CDPH. The information on individuals\u2019 city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. \n \nIn order to estimate the percent of San Franciscans vaccinated, we provide the 2018-2022 American Community Survey (ACS) population estimates for each demographic group and analysis neighborhood.\n\n<strong>C. UPDATE PROCESS</strong> \nUpdated daily via automated process.\n\n<strong>D. HOW TO USE THIS DATASET</strong> \nSF population estimates for race/ethnicity and age groups can be found in a <a href = \"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-demographics-population-esti/cedd-86uf\">view based on the San Francisco Population and Demographic Census dataset</a>. SF population estimates for analysis neighborhoods can be found in a <a href=\"https://data.sfgov.org/Economy-and-Community/SF-COVID-19-reporting-geography-population-estimat/35v5-seg9\">view based on the San Francisco Population and Geography Census dataset</a>. Both of these views use population estimates from the 2018-2022 5-year ACS. \n \nBefore analysis, you must filter the dataset to the desired stratification of data using the \u201cvaccine_type\u201d and \"demographic_group\" columns. For example, filtering \u201cvaccine_type\u201d to \u201cCOVID-19\u201d will allow you to only look at rows corresponding to COVID-19 vaccinations. Filtering \u201cdemographic_subgroup\u201d to \u201cAnalysis Neighborhood\u201d will allow you to only look at rows corresponding to SF neighborhoods. You can then calculate the percentages of those up to date with their COVID-19 vaccinations by neighborhood. The \u201cvaccine_subtype\u201d field provides information about the current vaccine product being tracked in this dataset.\n\n<strong>E. CHANGE LOG</strong>\n<LI>10/6/2025 - Dataset updated to reflect up to date status for the 2025-2026 monovalent formulation of the COVID-19 vaccine.\n<LI>11/5/2024 - Dataset updated to reflect up to date status for the 2024-2025 monovalent formulation of the COVID-19 vaccine.\n<LI>7/2/2024 - Population estimates were updated to reflect the most recent ACS data.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/c277bd29-40a6-4d7a-8f03-22d1e76023b9","harvest_record_raw":"https://catalog.data.gov/harvest_record/c277bd29-40a6-4d7a-8f03-22d1e76023b9/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/q6g7-y2et","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:49:56.102894","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"current-season-viral-respiratory-vaccinations","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Current Season Viral Respiratory Vaccinations","type":"dataset"},{"_score":10.349062,"_sort":[1789584595821,10.349062,0,"6b70e363-ea61-4e41-ac1f-36bf2378cf0c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>Note 5/1/2026: This dataset has known errors and we do not recommend using it at this time. Thank you for your patience while we work on correcting the dataset.</strong>\n\n<strong>A. SUMMARY</strong>\nThis database lists records of rodent treatments primarily in the City's combined sewer system. The data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Rodent treatments are listed by location and by number of products used. These data will be linked with other public data to provide informational tools in support of the City's Integrated Pest Management (IPM) Program and Vector Control Program, administered by the Department of the Environment and Department of Public Health, respectively. Providing public access to such data is in keeping with the record-keeping and transparency requirements of the IPM Ordinance, Environment Code, Chapt. 3.\n\n<li>For more information on San Francisco's IPM program, see https://www.sfenvironment.org/what-integrated-pest-management-ipm \n<li>For information on the City's Vector Control Program, see https://www.sf.gov/get-help-vermin-your-building\n<li>For more information on data set data custodian, see https://www.civichub.us/ca/sf/open-data\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Data is collected by the field technicians and added to a service database from there the data is being published to the SF Open Data portal.\n\n<strong>C. UPDATE PROCESS</strong>\nThis feed is updated daily and reflects service and product application from the previous calendar day.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyt2-uhqw/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/pyt2-uhqw/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/pyt2-uhqw/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/pyt2-uhqw","issued":"2024-04-03","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/pyt2-uhqw","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["City Infrastructure"],"title":"Rodent control by citywide contractor"},"description":"<strong>Note 5/1/2026: This dataset has known errors and we do not recommend using it at this time. Thank you for your patience while we work on correcting the dataset.</strong>\n\n<strong>A. SUMMARY</strong>\nThis database lists records of rodent treatments primarily in the City's combined sewer system. The data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Rodent treatments are listed by location and by number of products used. These data will be linked with other public data to provide informational tools in support of the City's Integrated Pest Management (IPM) Program and Vector Control Program, administered by the Department of the Environment and Department of Public Health, respectively. Providing public access to such data is in keeping with the record-keeping and transparency requirements of the IPM Ordinance, Environment Code, Chapt. 3.\n\n<li>For more information on San Francisco's IPM program, see https://www.sfenvironment.org/what-integrated-pest-management-ipm \n<li>For information on the City's Vector Control Program, see https://www.sf.gov/get-help-vermin-your-building\n<li>For more information on data set data custodian, see https://www.civichub.us/ca/sf/open-data\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe data is collected and submitted by the current holder of the Citywide Integrated Pest Management contract. Data is collected by the field technicians and added to a service database from there the data is being published to the SF Open Data portal.\n\n<strong>C. UPDATE PROCESS</strong>\nThis feed is updated daily and reflects service and product application from the previous calendar day.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1242bd9b-59dd-4bed-8a3e-384ad8d951f6","harvest_record_raw":"https://catalog.data.gov/harvest_record/1242bd9b-59dd-4bed-8a3e-384ad8d951f6/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/pyt2-uhqw","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:49:55.821448","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"rodent-control-by-citywide-contractor","spatial_centroid":null,"spatial_shape":null,"theme":["City Infrastructure"],"title":"Rodent control by citywide contractor","type":"dataset"},{"_score":17.273338,"_sort":[1789584595417,17.273338,1,"7321dc9d-39e5-4298-9651-bfb025a6bcb7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes weekly respiratory disease hospital admissions for Influenza, RSV, and COVID-19 into San Francisco hospitals. Columns in the dataset include a count and rate of hospital admissions per 100,000 people. The data are reported by week.\n<br>\n<strong>B. HOW THE DATASET IS CREATED </strong>\nHospital admission data is reported to the San Francisco Department of Public Health (SFDPH) from the United States Center for Disease Control\u2019s (CDC) National Healthcare Safety Network (<u><a href=\"https://www.cdc.gov/nhsn/index.html\">NHSN</a></u>) program.\n\nSan Francisco population estimates are pulled from a view based on the<u> <a href=\"https://data.sfgov.org/Economy-and-Community/SFDPH-reporting-demographics-population-estimates/cedd-86uf\">San Francisco Population and Demographic Census dataset</a></u>. These population estimates are from the 2019-2023 5-year American Community Survey (ACS).\n<br> \n<strong>C. UPDATE PROCESS </strong>\nThe dataset is updated every Friday and includes data from the previous Sunday through Saturday. For example, the update on Friday, October 17th will include data through Saturday, October 11th.  Data may change as more current information becomes available.\n<br> \n<strong>D. HOW TO USE THIS DATASET</strong>\nWeekly data represent a count of confirmed admissions of Influenza, RSV, and COVID-19 patients to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate.\n<br>\n<strong>E. ARCHIVED DATA</strong>\nA previous version of COVID-19 Hospital Admissions Over TIme  dataset was archived. For historical purposes, you can access the archived dataset <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/ARCHIVED-COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here</a></u>.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ppwr-akuv/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/ppwr-akuv/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/ppwr-akuv/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/ppwr-akuv","issued":"2026-09-15","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/ppwr-akuv","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-15","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Respiratory Virus Hospital Admissions Over Time"},"description":"<strong>A. SUMMARY</strong>\nThis dataset includes weekly respiratory disease hospital admissions for Influenza, RSV, and COVID-19 into San Francisco hospitals. Columns in the dataset include a count and rate of hospital admissions per 100,000 people. The data are reported by week.\n<br>\n<strong>B. HOW THE DATASET IS CREATED </strong>\nHospital admission data is reported to the San Francisco Department of Public Health (SFDPH) from the United States Center for Disease Control\u2019s (CDC) National Healthcare Safety Network (<u><a href=\"https://www.cdc.gov/nhsn/index.html\">NHSN</a></u>) program.\n\nSan Francisco population estimates are pulled from a view based on the<u> <a href=\"https://data.sfgov.org/Economy-and-Community/SFDPH-reporting-demographics-population-estimates/cedd-86uf\">San Francisco Population and Demographic Census dataset</a></u>. These population estimates are from the 2019-2023 5-year American Community Survey (ACS).\n<br> \n<strong>C. UPDATE PROCESS </strong>\nThe dataset is updated every Friday and includes data from the previous Sunday through Saturday. For example, the update on Friday, October 17th will include data through Saturday, October 11th.  Data may change as more current information becomes available.\n<br> \n<strong>D. HOW TO USE THIS DATASET</strong>\nWeekly data represent a count of confirmed admissions of Influenza, RSV, and COVID-19 patients to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate.\n<br>\n<strong>E. ARCHIVED DATA</strong>\nA previous version of COVID-19 Hospital Admissions Over TIme  dataset was archived. For historical purposes, you can access the archived dataset <u><a href=\"https://data.sfgov.org/Health-and-Social-Services/ARCHIVED-COVID-19-Hospital-Admissions-Over-Time/82gu-asz5/about_data\">here</a></u>.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/fcb38b17-1675-40a9-be7a-0117a1af3212","harvest_record_raw":"https://catalog.data.gov/harvest_record/fcb38b17-1675-40a9-be7a-0117a1af3212/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/ppwr-akuv","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:49:55.417906","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":1,"publisher":"data.sf.gov","slug":"respiratory-virus-hospital-admissions-over-time","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Respiratory Virus Hospital Admissions Over Time","type":"dataset"},{"_score":46.477146,"_sort":[1789584594419,46.477146,0,"66cbd535-39ac-4827-b48e-b48eb0f28ca3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"OpenData","hasEmail":"mailto:no-reply@data.sf.gov"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/p6m6-pkpk/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/p6m6-pkpk/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/p6m6-pkpk/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.sf.gov/api/views/p6m6-pkpk","issued":"2025-08-13","keyword":["untagged"],"landingPage":"https://data.sf.gov/d/p6m6-pkpk","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-16","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Site List"},"description":"<STRONG>A. SUMMARY</STRONG>\nThis dataset contains information of Mental Health (MH) and Substance Use Disorder (SUD) programs / sites. It serves as provider directory for the general public to know and search for MH and SUD programs / sites contracted with the City and County of San Francisco. \n\n<STRONG>B. HOW THE DATASET IS CREATED</STRONG>\nThe dataset is pulled from our electronic systems. \n\n<STRONG>C. UPDATE PROCESS</STRONG>\nThe dataset is updated nightly through sf.gov through Application Programming Interface (API) whenever there are changes. There is monthly review and tracking. \n\n<STRONG>D. HOW TO USE THIS DATASET</STRONG>\nThere are filters for some data fields for quick search. For example, if we want to search all MH and SUD programs that serve women, we would use the Gender filter and select \u201cWomen\u201d and \u201cAll\u201d.\n\n<STRONG>E. RELATED DATASETS</STRONG>","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1136bd6a-4c78-405d-9a2a-01730e53b97f","harvest_record_raw":"https://catalog.data.gov/harvest_record/1136bd6a-4c78-405d-9a2a-01730e53b97f/raw","has_download":true,"has_spatial":false,"identifier":"https://data.sf.gov/api/views/p6m6-pkpk","keyword":["untagged"],"last_harvested_date":"2026-09-16T18:49:54.419709","organization":{"aliases":["sf","california"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7f3c6c7a-ef5f-4ee0-87ce-a0300ba767d5","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_san_francisco_ca.png","name":"City of San Francisco","organization_type":"City Government","slug":"san-francisco-ca"},"parent_identifier":null,"popularity":0,"publisher":"data.sf.gov","slug":"mental-health-mh-and-substance-use-disorder-sud-provider-directory-site-list","spatial_centroid":null,"spatial_shape":null,"theme":["Health and Social Services"],"title":"Mental Health (MH) and Substance Use Disorder (SUD) Provider Directory - Site List","type":"dataset"}],"sort":"last_harvested_date"}