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Fridays.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1b4b615c-c6ed-4111-a8f8-a4aec312c1ce","harvest_record_raw":"https://catalog.data.gov/harvest_record/1b4b615c-c6ed-4111-a8f8-a4aec312c1ce/raw","has_download":true,"has_spatial":true,"identifier":"https://data.cdc.gov/api/views/7xva-uux8","keyword":["coronavirus","covid19","ed","emergency department","flu","influenza","national syndromic surveillance program","ncird","nssp","ophdst","respiratory syncytial","respiratory syncytial virus","respiratory-virus-response","rsv","rvr","virus"],"last_harvested_date":"2026-09-05T19:27:38.059827","organization":{"aliases":["US","dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"2c2fc21f-21d0-4450-af01-cf8c69b44156","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/hhs.png","name":"U.S. Department of Health & Human Services","organization_type":"Federal 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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<br>","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/vutn-jzwm/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/vutn-jzwm/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/vutn-jzwm/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"}],"identifier":"https://data.cdc.gov/api/views/vutn-jzwm","issued":"2024-11-08","keyword":["covid19","ed","emergency department","flu","influenza","national syndromic surveillance program","nssp","respiratory syncytial virus","respiratory virus 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Numerous vulnerability indicators have been developed, but they are typically not validated for their predictive power over the outcomes of interest. As with many environmental health studies where interventions are impractical or unethical, validation of social vulnerability against public health outcomes is observational and relies on spatially-dependent data. Observational studies are susceptible to bias induced by unmeasured confounders. This problem is exacerbated in spatial studies with multiple health outcomes and environmental exposure variables, as the source and magnitude of confounding bias may differ by spatial scale and across exposure/outcome pairs. We propose to mitigate confounding effects in multivariate spatial studies using a tensor-regression model that allows exposure effects to vary by exposure, outcome, and spatial scale. By extracting exposure effects that correspond to local spatial scales, we replace the strict causal assumption of no unmeasured confounders with a more realistic assumption of local unconfoundedness i.e., differences between nearby regions are unconfounded, allowing for causal interpretation. Our study of the Southern United States shows that economic resilience (Theme 1) demonstrates the strongest positive effect on diabetes and negative effect on hyperlipidemia. Our analysis reveals a concise representation of the effects of social vulnerability indices on an array of chronic health outcomes, offering interpretable epidemiological insights that adjust for multivariate spatial confounding.\n\nKeywords: Spatial confoundingcausal inferenceexposure mixturesunmeasured confoundertensor decomposition. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Centers for Medicare & Medicaid Services for data access. Format: Datasets are in text format, csv. \n\nThis dataset is associated with the following publication:\nPrim, S., Y. Guam, S. Yang, A. Rappold, L. Hill, W. Tsai, C. Keeler, and B.J. Reich. A spectral confounder adjustment for spatial regression with multiple exposures and outcomes.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. Taylor & Francis Group, London,  UK,  2714568, (2026).","distribution":[],"identifier":"https://doi.org/10.23719/d-vrf8","keyword":["Causal Inference","exposure mixture","spectral confounding","tensor decomposition","unmeasured confounding"],"license":"https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html","modified":"2025-09-30","programCode":["020:000"],"publisher":{"name":"U.S. Environmental Protection Agency","subOrganizationOf":{"name":"U.S. Government"}},"references":["https://doi.org/10.1080/01621459.2026.2714568"],"rights":"EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy","spatial":"-129.2317,22.162,-64.0823,49.1925","title":"A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes"},"description":"The dataset used for the analysis in the publication, A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes (https://doi.org/10.1080/01621459.2026.2714568).\n\nAbstract\nCharacterizing social vulnerability is fundamental to disaster response planning. Numerous vulnerability indicators have been developed, but they are typically not validated for their predictive power over the outcomes of interest. As with many environmental health studies where interventions are impractical or unethical, validation of social vulnerability against public health outcomes is observational and relies on spatially-dependent data. Observational studies are susceptible to bias induced by unmeasured confounders. This problem is exacerbated in spatial studies with multiple health outcomes and environmental exposure variables, as the source and magnitude of confounding bias may differ by spatial scale and across exposure/outcome pairs. We propose to mitigate confounding effects in multivariate spatial studies using a tensor-regression model that allows exposure effects to vary by exposure, outcome, and spatial scale. By extracting exposure effects that correspond to local spatial scales, we replace the strict causal assumption of no unmeasured confounders with a more realistic assumption of local unconfoundedness i.e., differences between nearby regions are unconfounded, allowing for causal interpretation. Our study of the Southern United States shows that economic resilience (Theme 1) demonstrates the strongest positive effect on diabetes and negative effect on hyperlipidemia. Our analysis reveals a concise representation of the effects of social vulnerability indices on an array of chronic health outcomes, offering interpretable epidemiological insights that adjust for multivariate spatial confounding.\n\nKeywords: Spatial confoundingcausal inferenceexposure mixturesunmeasured confoundertensor decomposition. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Centers for Medicare & Medicaid Services for data access. Format: Datasets are in text format, csv. \n\nThis dataset is associated with the following publication:\nPrim, S., Y. Guam, S. Yang, A. Rappold, L. Hill, W. Tsai, C. Keeler, and B.J. Reich. A spectral confounder adjustment for spatial regression with multiple exposures and outcomes.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 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For a list of diagnostic codes included in the ARI metric, visit the <a href=\"https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf\">Acute Respiratory Illness Technical Brief</a>.\n\nThese codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href=\"https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#overview\">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.\n\nShort codes listed capture all codes underneath them (e.g., J09 includes J09.X1\u2013J09.X9).\n\nFindings for each of the 14 condition categories were analyzed by age group.\n\nSource: National Syndromic Surveillance Program (NSSP)\n\nThe NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\n\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href=\"https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png\">Coverage Map</a>.","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/v58w-vynu/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/v58w-vynu/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","downloadURL":"https://data.cdc.gov/api/v3/views/v58w-vynu/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"}],"identifier":"https://data.cdc.gov/api/views/v58w-vynu","issued":"2025-08-08","keyword":["ari other","bacteria","ed data","ncird","ophdst","respiratory-virus-response","rvr","virus"],"landingPage":"https://data.cdc.gov/d/v58w-vynu","license":"http://opendefinition.org/licenses/odc-odbl/","modified":"2026-09-04","programCode":["009:026"],"publisher":{"@type":"org:Organization","name":"Centers for Disease Control and Prevention"},"theme":["National Center for Immunization and Respiratory Diseases"],"title":"Respiratory Conditions Treated in the Emergency Department"},"description":"Methods for Creating Respiratory Conditions:\n\nThe International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. 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Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.\n\nNational data include emergency departments in all 50 states, the District of Columbia, and Guam. 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Service"},"spatial":"-81.1565,37.5172,-74.7459,41.3463","temporal":"2007-01-01/2024-01-01","theme":["Data Package"],"title":"Forest health monitoring summary data (2007\u20132024) from eight national parks in the Eastern Rivers and Mountains Network"},"description":"This data package contains records and metadata from long-term forest health monitoring collected in eight national park units in the Eastern Rivers and Mountains Inventory and Monitoring Network from 2007 - 2024. Data on forest composition and structure, tree dieback, forest pests and pathogens, tree regeneration, shrubs, invasive plants, groundstory diversity and nativity, herbaceous plants sensitive to browse, and coarse woody debris were collected from over 380 plots, most of which were sampled four times. Plots were sampled on a four-year panel design, in which one panel containing one-fourth of a park\u2019s total plots was sampled each year. Field methods and data quality control procedures are described in detail at the National Park Service's Eastern Rivers and Mountains Network website (https://www.nps.gov/im/ermn/vegetation-soils.htm). This monitoring program focuses on indicators of forest ecological integrity to provide information on the condition of the parks\u2019 forests and how this condition is changing over time. Plot locations were determined through a random, spatially balanced sampling design for each park. Therefore, these data are appropriate for precisely estimating forest health metrics within each monitored park.","distribution_titles":["ERMN_VegetationSummary_2298542_CWD.csv","ERMN_VegetationSummary_2298542_metadata.xml","ERMN_VegetationSummary_2298542_Events.csv","ERMN_VegetationSummary_2298542_Groundstory.csv","ERMN_VegetationSummary_2298542_Plots.csv","ERMN_VegetationSummary_2298542_Saplings.csv","ERMN_VegetationSummary_2298542_Seedlings.csv","ERMN_VegetationSummary_2298542_NPSpecies.csv","ERMN_VegetationSummary_2298542_Stand.csv","ERMN_VegetationSummary_2298542_Trees.csv"],"harvest_record":"https://catalog.data.gov/harvest_record/2dfc1b6e-5726-4634-81ff-e8f4b43a91e8","harvest_record_raw":"https://catalog.data.gov/harvest_record/2dfc1b6e-5726-4634-81ff-e8f4b43a91e8/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/NPS_DataStore_2298542","keyword":["ALPO","Acer","Acer negundo","Acer palmatum","Acer pensylvanicum","Acer 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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":"2026-09-02T04:30:18.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","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/ac2f00ad-10f2-4134-9a56-4bb1a5e4edf2","harvest_record_raw":"https://catalog.data.gov/harvest_record/ac2f00ad-10f2-4134-9a56-4bb1a5e4edf2/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":"2026-09-02T19:23:54.414043","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":35.74284,"lon":-78.69144},"spatial_shape":{"coordinates":[[[-78.9746,35.5378],[-78.9746,36.0504],[-78.2667,36.0504],[-78.2667,35.5378],[-78.9746,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspections","type":"dataset"},{"_score":7.7997932,"_sort":[1788377034199,7.7997932,26,"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":"2026-09-02T04:30:20.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","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/a1932a86-b4e3-4fdc-a09e-189e107a8c60","harvest_record_raw":"https://catalog.data.gov/harvest_record/a1932a86-b4e3-4fdc-a09e-189e107a8c60/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":"2026-09-02T19:23:54.199573","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":35.74284,"lon":-78.69144},"spatial_shape":{"coordinates":[[[-78.9746,35.5378],[-78.9746,36.0504],[-78.2667,36.0504],[-78.2667,35.5378],[-78.9746,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspection Violations","type":"dataset"},{"_score":7.5720654,"_sort":[1788377033590,7.5720654,22,"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. 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.</p><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;'>T &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/RestaurantsFieldDefinitions.pdf' rel='nofollow ugc noopener noreferrer'><span style='font-size:12.0pt;'>here</span></a>.</p><p style='margin-bottom:.0001pt; text-indent:-.25in;'>&nbsp;</p>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/kml?layers=0","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/124c2187da8c41c59bde04fa67eb2872/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=124c2187da8c41c59bde04fa67eb2872&sublayer=0","issued":"2016-08-12T18:16:04.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-02T04:30:27.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9746,35.5378,-78.2667,36.0504","theme":["geospatial"],"title":"Restaurants in Wake County"},"description":"<p>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.</p><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;'>T &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. 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per dept per day","type":"dataset"},{"_score":3.2463112,"_sort":[1788376855901,3.2463112,3,"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":"2026-09-02","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/012cb088-0a40-480d-9322-2338d0ca8109","harvest_record_raw":"https://catalog.data.gov/harvest_record/012cb088-0a40-480d-9322-2338d0ca8109/raw","has_download":true,"has_spatial":false,"identifier":"https://data.bloomington.in.gov/api/views/ergx-jurs","keyword":["accessibility"],"last_harvested_date":"2026-09-02T19:20:55.901585","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":30.392561,"_sort":[1788376844481,30.392561,1,"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":"2026-08-28T23:35:23.409Z","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/98246c74-2da4-4066-9523-02310a5340ca","harvest_record_raw":"https://catalog.data.gov/harvest_record/98246c74-2da4-4066-9523-02310a5340ca/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":"2026-09-02T19:20:44.481712","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":22.57307,"_sort":[1788376844250,22.57307,3,"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":"2026-08-28T23:14:49.479Z","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/58bb3aa7-37f3-4b1b-be20-4445b2d77ce0","harvest_record_raw":"https://catalog.data.gov/harvest_record/58bb3aa7-37f3-4b1b-be20-4445b2d77ce0/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":"2026-09-02T19:20:44.250835","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":15.774893,"_sort":[1788376836242,15.774893,5,"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":"2026-09-02T04:00:21.805Z","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/6ff5267e-ae84-46a0-b1ea-f6f3fcbf5caa","harvest_record_raw":"https://catalog.data.gov/harvest_record/6ff5267e-ae84-46a0-b1ea-f6f3fcbf5caa/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":"2026-09-02T19:20:36.242459","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":27.73187,"_sort":[1788376835420,27.73187,1,"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":"2026-08-28T23:48:28.972Z","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/d9d3d233-7993-4c9b-821d-cf8e4f235727","harvest_record_raw":"https://catalog.data.gov/harvest_record/d9d3d233-7993-4c9b-821d-cf8e4f235727/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":"2026-09-02T19:20:35.420721","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":13.142527,"_sort":[1788376771176,13.142527,0,"b91b9c61-15ec-4a12-aa24-475fee8615b6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","accrualPeriodicity":"irregular","bureauCode":["006:55"],"contactPoint":{"fn":"Thomas P. Forbes","hasEmail":"mailto:thomas.forbes@nist.gov"},"description":"This data publication contains the extracted mass spectra and derived data (e.g., extracted ion chronogram peak areas) for illicit drug and mixture samples. These samples were analyzed direct analysis in real time (DART) ionization with a benchtop triple quadrupole (TQ) mass spectrometer. Related measurements and data were also gathered on a laboratory time-of-flight (TOF) mass spectrometer. Samples include a range of single-component drugs (e.g., Fentanyl, Xylazine, Cocaine, Heroin, etc.), a 15-component drug mixture, and samples collected from used drug paraphernalia at harm reduction sites.\n\n*Any mention of commercial products is for information only; it does not imply recommendation or endorsement by NIST.","distribution":[{"description":"Details of dataset","downloadURL":"https://data.nist.gov/od/ds/mds2-4066/readme.txt","mediaType":"text/plain","title":"readme"},{"description":"TQ-MS and TOF-MS mass spectra and derived data (peak areas) for system characterization and drug identification studies","downloadURL":"https://data.nist.gov/od/ds/mds2-4066/TQ-MS_DrugAnalysis%20NIST%20Data%20Publication.zip","mediaType":"application/x-zip-compressed","title":"TQ-MS Drug Identification NIST Data Publication"},{"downloadURL":"https://data.nist.gov/od/ds/mds2-4066/TQ-MS_DrugAnalysis%20NIST%20Data%20Publication.zip","mediaType":"application/x-zip-compressed","title":"TQ-MS_DrugAnalysis NIST Data Publication"},{"downloadURL":"https://data.nist.gov/od/ds/mds2-4066/readme.txt","mediaType":"text/plain","title":"readme"}],"identifier":"ark:/88434/mds2-4066","issued":"2026-02-11","keyword":["Mass spectrometry; triple quadrupole; time-of-flight; fieldable; transportable; drugs; narcotics; forensics; public health;"],"landingPage":"https://data.nist.gov/od/id/mds2-4066","language":["en"],"license":"https://www.nist.gov/open/license","modified":"2026-01-16 00:00:00","programCode":["006:045"],"publisher":{"@type":"org:Organization","name":"National Institute of Standards and Technology"},"theme":["Chemistry:Analytical chemistry","Chemistry:Molecular characterization","Forensics","Forensics:Drugs and toxicology","Public Safety","Public Safety:First responder preparedness","Public Safety:Law enforcement"],"title":"Chromatography-free triple quadrupole and time-of-flight mass spectrometry data for system characterization and exploring illicit drug identification"},"description":"This data publication contains the extracted mass spectra and derived data (e.g., extracted ion chronogram peak areas) for illicit drug and mixture samples. 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Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, \"Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module,\" Applied Optics 63, 7715-7725 (2024). https://doi.org/10.1364/AO.527427 . The figures in the paper show a subset of the data included in this archive.\n\nThis archive contains the measured BRDF of materials commonly found in public spaces where UV disinfection may be used. The BRDF is measured at wavelengths of 222 nm, 255 nm, and 280 nm.  The 8 samples measured are an acrylonitrile butadiene styrene (ABS) plastic panel, a vinyl sheet, a polypropylene sheet, an extruded steel sheet, an extruded aluminum sheet, a silver-coated reflector, a glossy white ceramic tile, and a glossy grey ceramic tile. 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These data are stored in a format adhering to the Database Infrastructure for Mass Spectrometry (DIMSpec) project. That project produces and uses databases like this one, providing a complete toolkit for non-targeted analysis. 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