CivicMemory

Timeline / Data.gov — Health Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 5121 line(s) added, 4331 line(s) removed.

Evidence

SourceData.gov — Health Datasets
AgencyData.gov
URLhttps://api.gsa.gov/technology/datagov/v4/search?q=health&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY}
Observed by Civic Memory, directly, on 2026-10-03T00:19:16+00:00
Content typeapplication/json
Current object d6276ea0a9ebbccaf1f229d6be69fa86175f02c3266acc787411ef286c240c14 download raw metadata
Previous object 06f31139bdbd2e1ce48667560e8a0a35ee0c4c63e2a50c217f2ec41cb0024b18 download raw metadata

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-10-03T00:19:16+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 5121 line(s) added, 4331 line(s) removed. 

--- previous
+++ current
@@ -1,13 +1,13 @@
 {
- "after": "WzE3OTA3OTQzNjgxODIsMjkuODE4NTAyLDMsIjUxOTVjNmVkLTBhZTAtNDE2My1hNThhLWNhMzBiYjljNzA5NiJd",
+ "after": "WzE3OTA4MDM4MTkxNDYsMTQuNjczNzg1LDAsIjAwZGZmNGYwLTc0MTAtNDc0Ny05MWQwLTlmYTkyMDY4NGVkYiJd",
  "results": [
  {
- "_score": 3.904417,
+ "_score": 13.335302,
  "_sort": [
- 1790892573285,
- 3.904417,
- 28,
- "91285c37-3e59-42d1-8b57-4d75a2ec2fb6"
+ 1790979834517,
+ 13.335302,
+ 11,
+ "1315ea97-cbd1-4a66-9d5c-91252cda9633"
  ],
  "access_level": "public",
  "dcat": {
@@ -21,34 +21,79 @@
  "fn": "National Library of Medicine",
  "hasEmail": "mailto:custserv@nlm.nih.gov"
  },
- "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.",
+ "description": "Medical Subject Headings (MeSH) is a hierarchically-organized terminology for indexing and cataloging of biomedical information. It is used for the indexing of PubMed and other NLM databases. Please see the Terms and Conditions for more information regarding the use and re-use of MeSH. NLM produces Medical Subject Headings XML, ASCII, MARC 21 and RDF formats. \n\nUpdates to the data files are made according to the following schedule:\n\nMeSH XML\nMeSH Descriptor files updated annually\nMeSH Qualifier files updated annually\nMeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)\n\nMeSH ASCII\nMeSH Descriptor files updated annually\nMeSH Qualifier files updated annually\nMeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)\n\nMeSH MARC21\nAll files posted monthly\n\nMeSH RDF\nAll files posted daily (Monday - Friday)",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
+ "description": "Directories 1999-2010\n-All the yearly release files produced by MeSH from 1999 to 2010\n\nDirectories 2011-2016\n-These directories contain the yearly release file of MeSH. These files are distributed in November of the prior MeSH year and do not get updated.\n\nRDF MESH N-TRIPLE DATA folders - for info see https://id.nlm.nih.gov/mesh/",
+ "downloadURL": "https://nlmpubs.nlm.nih.gov/projects/mesh/",
+ "mediaType": "text/html",
+ "title": "Download - MeSH - Archive of Prior Production Years"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
+ "description": "MeSH on Demand identifies MeSH Terms in your text using the NLM-developed automated indexing algorithm. After processing, MeSH on Demand returns a list of MeSH Terms relevant to your text as well as a list of related articles from PubMed.",
+ "downloadURL": "https://meshb.nlm.nih.gov/MeSHonDemand",
+ "mediaType": "text/html",
+ "title": "MeSH on Demand"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
+ "description": "Resources supporting the RDF serialization of the Medical Subject Headings (MeSH).",
+ "downloadURL": "https://id.nlm.nih.gov/mesh/",
+ "mediaType": "text/html",
+ "title": "MeSH RDF Resources"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The SPARQL 1.1 endpoint returns RDF results and graphs. The lookup API returns simple JSON.",
+ "downloadURL": "https://id.nlm.nih.gov/mesh/swagger/ui#/",
+ "mediaType": "text/html",
+ "title": "API - MeSH RDF SPARKL endpoint"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "description": "The browser offers two search methods: FullWord Search and SubString Search. Each method can be further modified to search by Exact Match, All Fragments, or Any Fragment. ",
+ "downloadURL": "https://meshb.nlm.nih.gov/search",
+ "mediaType": "text/html",
+ "title": "Query Interface - MeSH Browser - Current Production Year"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://nlmpubs.nlm.nih.gov/projects/mesh/MESH_FILES/asciimesh/",
+ "mediaType": "text/html",
+ "title": "Download - MeSH - Current Production Year"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://nlmpubs.nlm.nih.gov/projects/mesh/MESH_FILES/meshmarc/",
+ "mediaType": "text/html",
+ "title": "Download - MeSH - Current Production Year"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://nlmpubs.nlm.nih.gov/projects/mesh/MESH_FILES/xmlmesh/",
+ "mediaType": "application/xml",
+ "title": "Download - MeSH - Current Production Year"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://nlmpubs.nlm.nih.gov/projects/mesh/rdf/2022/",
+ "mediaType": "application/rdf+xml",
+ "title": "Download - MeSH - Current Production Year"
  }
  ],
- "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu",
- "issued": "2022-06-29",
- "keyword": [
- "education",
- "training and instruction",
- "videos"
- ],
- "landingPage": "https://learn.nlm.nih.gov/",
+ "identifier": "https://datadiscovery.nlm.nih.gov/api/views/arcv-nkd5",
+ "issued": "2020-08-06",
+ "keyword": [
+ "api",
+ "dataset",
+ "health data standards",
+ "terminologies"
+ ],
+ "landingPage": "https://www.nlm.nih.gov/mesh/meshhome.html",
  "license": "http://opendefinition.org/licenses/odc-odbl/",
- "modified": "2026-09-30",
+ "modified": "2026-10-01",
  "programCode": [
  "009:041"
  ],
@@ -57,23 +102,34 @@
  "name": "National Library of Medicine"
  },
  "theme": [
- "Health Education"
- ],
- "title": "Learning Resources Database"
- },
- "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/071a2316-f31d-40fc-947a-126e8cc28b92",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/071a2316-f31d-40fc-947a-126e8cc28b92/raw",
+ "Terminology"
+ ],
+ "title": "Medical Subject Headings (MeSH)"
+ },
+ "description": "Medical Subject Headings (MeSH) is a hierarchically-organized terminology for indexing and cataloging of biomedical information. It is used for the indexing of PubMed and other NLM databases. Please see the Terms and Conditions for more information regarding the use and re-use of MeSH. NLM produces Medical Subject Headings XML, ASCII, MARC 21 and RDF formats. \n\nUpdates to the data files are made according to the following schedule:\n\nMeSH XML\nMeSH Descriptor files updated annually\nMeSH Qualifier files updated annually\nMeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)\n\nMeSH ASCII\nMeSH Descriptor files updated annually\nMeSH Qualifier files updated annually\nMeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday)\n\nMeSH MARC21\nAll files posted monthly\n\nMeSH RDF\nAll files posted daily (Monday - Friday)",
+ "distribution_titles": [
+ "Download - MeSH - Archive of Prior Production Years",
+ "MeSH on Demand",
+ "MeSH RDF Resources",
+ "API - MeSH RDF SPARKL endpoint",
+ "Query Interface - MeSH Browser - Current Production Year",
+ "Download - MeSH - Current Production Year",
+ "Download - MeSH - Current Production Year",
+ "Download - MeSH - Current Production Year",
+ "Download - MeSH - Current Production Year"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/134b2658-cd95-4259-a3e2-c14655298a3b",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/134b2658-cd95-4259-a3e2-c14655298a3b/raw",
  "has_download": true,
  "has_spatial": false,
- "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu",
- "keyword": [
- "education",
- "training and instruction",
- "videos"
- ],
- "last_harvested_date": "2026-10-01T22:09:33.285269",
+ "identifier": "https://datadiscovery.nlm.nih.gov/api/views/arcv-nkd5",
+ "keyword": [
+ "api",
+ "dataset",
+ "health data standards",
+ "terminologies"
+ ],
+ "last_harvested_date": "2026-10-02T22:23:54.517871",
  "organization": {
  "aliases": [
  "US",
@@ -89,24 +145,24 @@
  "slug": "hhs"
  },
  "parent_identifier": null,
- "popularity": 28,
+ "popularity": 11,
  "publisher": "National Library of Medicine",
- "slug": "learning-resources-database",
+ "slug": "medical-subject-headings-mesh",
  "spatial_centroid": null,
  "spatial_shape": null,
  "theme": [
- "Health Education"
- ],
- "title": "Learning Resources Database",
+ "Terminology"
+ ],
+ "title": "Medical Subject Headings (MeSH)",
  "type": "dataset"
  },
  {
- "_score": 18.387651,
+ "_score": 2.5250168,
  "_sort": [
- 1790892417865,
- 18.387651,
- 5,
- "f56a5e9a-a4d7-4830-b51b-2b9b6cddbe29"
+ 1790979667139,
+ 2.5250168,
+ 74,
+ "791f92e6-0c92-42a4-b9be-6f3e4ae46131"
  ],
  "access_level": "public",
  "dcat": {
@@ -118,86 +174,90 @@
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "National Syndromic Surveillance Program",
- "hasEmail": "mailto:nssp@cdc.gov"
- },
- "description": "NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.  \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”. \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays. ",
+ "fn": "National Center for Health Statistics",
+ "hasEmail": "mailto:cdcinfo@cdc.gov"
+ },
+ "description": "Effective September 27, 2023, this dataset will be updated weekly on Thursdays.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/export.csv?accessType=DOWNLOAD",
+ "downloadURL": "https://data.cdc.gov/api/v3/views/r8kw-7aab/export.csv?accessType=DOWNLOAD",
  "mediaType": "text/csv"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/query.json?accessType=DOWNLOAD",
+ "downloadURL": "https://data.cdc.gov/api/v3/views/r8kw-7aab/query.json?accessType=DOWNLOAD",
  "mediaType": "application/json"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdmq-nq56/query.xml?accessType=DOWNLOAD",
+ "downloadURL": "https://data.cdc.gov/api/v3/views/r8kw-7aab/query.xml?accessType=DOWNLOAD",
  "mediaType": "application/xml"
  }
  ],
- "identifier": "https://data.cdc.gov/api/views/rdmq-nq56",
- "issued": "2023-12-18",
- "keyword": [
+ "identifier": "https://data.cdc.gov/api/views/r8kw-7aab",
+ "issued": "2020-05-01",
+ "keyword": [
+ "all causes",
  "coronavirus",
- "covid19",
- "ed",
- "emergency department",
- "flu",
+ "covid-19",
+ "deaths",
  "influenza",
- "national syndromic surveillance program",
- "ncird",
- "nssp",
- "ophdst",
- "respiratory syncytial virus",
- "respiratory-virus-response",
- "rsv",
- "rvr"
- ],
- "landingPage": "https://data.cdc.gov/d/rdmq-nq56",
+ "monthly",
+ "mortality",
+ "nchs",
+ "nvss",
+ "pneumonia",
+ "provisional",
+ "puerto rico",
+ "state",
+ "united states",
+ "weekly",
+ "yearly"
+ ],
+ "landingPage": "https://www.cdc.gov/nchs/nvss/vsrr/covid19/index.htm",
  "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-30",
+ "modified": "2026-10-01",
  "programCode": [
- "009:037"
+ "009:020"
  ],
  "publisher": {
  "@type": "org:Organization",
  "name": "Centers for Disease Control and Prevention"
  },
- "spatial": "U.S.",
- "temporal": "2022-10-01/2023-01-27",
- "theme": [
- "Public Health Surveillance"
- ],
- "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined  "
- },
- "description": "NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.  \n\nNote that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. \n\nMore information on HSAs is available <a href=\"https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html\"><b>here</b></a>.\n\nFor the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”. \n\nFor additional information, please see: <a href=\"https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide\"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>\n\nUpdated once per week on Fridays. ",
+ "spatial": "United States, Puerto Rico",
+ "temporal": "2019-12-29/2026-10-01",
+ "theme": [
+ "National Center for Health Statistics"
+ ],
+ "title": "Provisional COVID-19 Death Counts by Week Ending Date and State"
+ },
+ "description": "Effective September 27, 2023, this dataset will be updated weekly on Thursdays.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state",
  "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/0d9a4309-1f72-4228-844b-2e38d279d5d7",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/0d9a4309-1f72-4228-844b-2e38d279d5d7/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/5d3c5478-8e65-4917-84b8-c892652d958e",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/5d3c5478-8e65-4917-84b8-c892652d958e/raw",
  "has_download": true,
  "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/rdmq-nq56",
- "keyword": [
+ "identifier": "https://data.cdc.gov/api/views/r8kw-7aab",
+ "keyword": [
+ "all causes",
  "coronavirus",
- "covid19",
- "ed",
- "emergency department",
- "flu",
+ "covid-19",
+ "deaths",
  "influenza",
- "national syndromic surveillance program",
- "ncird",
- "nssp",
- "ophdst",
- "respiratory syncytial virus",
- "respiratory-virus-response",
- "rsv",
- "rvr"
- ],
- "last_harvested_date": "2026-10-01T22:06:57.865177",
+ "monthly",
+ "mortality",
+ "nchs",
+ "nvss",
+ "pneumonia",
+ "provisional",
+ "puerto rico",
+ "state",
+ "united states",
+ "weekly",
+ "yearly"
+ ],
+ "last_harvested_date": "2026-10-02T22:21:07.139144",
  "organization": {
  "aliases": [
  "US",
@@ -213,116 +273,90 @@
  "slug": "hhs"
  },
  "parent_identifier": null,
- "popularity": 5,
+ "popularity": 74,
  "publisher": "Centers for Disease Control and Prevention",
- "slug": "nssp-emergency-department-visit-trajectories-by-state-and-sub-state-regions-covid-19-flu-r",
+ "slug": "provisional-covid-19-death-counts-by-week-ending-date-and-state",
  "spatial_centroid": null,
  "spatial_shape": null,
  "theme": [
- "Public Health Surveillance"
- ],
- "title": "NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined  ",
+ "National Center for Health Statistics"
+ ],
+ "title": "Provisional COVID-19 Death Counts by Week Ending Date and State",
  "type": "dataset"
  },
  {
- "_score": 3.068015,
+ "_score": 3.9216971,
  "_sort": [
- 1790892334190,
- 3.068015,
- 2,
- "8990f920-f831-496e-b9a0-a8cc91c3c03c"
+ 1790979578741,
+ 3.9216971,
+ 99,
+ "91285c37-3e59-42d1-8b57-4d75a2ec2fb6"
  ],
  "access_level": "public",
  "dcat": {
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
- "009:20"
+ "009:25"
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "CDC-INFO",
- "hasEmail": "mailto:cdcinfo@cdc.gov"
- },
- "description": "Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.",
+ "fn": "National Library of Medicine",
+ "hasEmail": "mailto:custserv@nlm.nih.gov"
+ },
+ "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/export.csv?accessType=DOWNLOAD",
+ "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/export.csv?accessType=DOWNLOAD",
  "mediaType": "text/csv"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/query.json?accessType=DOWNLOAD",
+ "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.json?accessType=DOWNLOAD",
  "mediaType": "application/json"
  },
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/kipu-qxy8/query.xml?accessType=DOWNLOAD",
+ "downloadURL": "https://datadiscovery.nlm.nih.gov/api/v3/views/khy6-95gu/query.xml?accessType=DOWNLOAD",
  "mediaType": "application/xml"
  }
  ],
- "identifier": "https://data.cdc.gov/api/views/kipu-qxy8",
- "isPartOf": "Yes",
- "issued": "2024-01-30",
- "keyword": [
- "adenovirus",
- "covid-19",
- "enterovirus",
- "evd-68",
- "human coronaviruses",
- "human metapneumovirus",
- "influenza",
- "medically attended illness",
- "ncird-corvd",
- "parainfluenza virus",
- "pediatric",
- "respiratory illness",
- "rhinovirus",
- "rsv",
- "viral detections"
- ],
- "landingPage": "https://www.cdc.gov/surveillance/nvsn/index.html",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-30",
+ "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu",
+ "issued": "2022-06-29",
+ "keyword": [
+ "education",
+ "training and instruction",
+ "videos"
+ ],
+ "landingPage": "https://learn.nlm.nih.gov/",
+ "license": "http://opendefinition.org/licenses/odc-odbl/",
+ "modified": "2026-10-01",
  "programCode": [
- "009:026"
+ "009:041"
  ],
  "publisher": {
  "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "theme": [
- "Public Health Surveillance"
- ],
- "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present"
- },
- "description": "Percent positivity of 9 viral pathogens, by season and age group, 2017–Present.",
+ "name": "National Library of Medicine"
+ },
+ "theme": [
+ "Health Education"
+ ],
+ "title": "Learning Resources Database"
+ },
+ "description": "The Learning Resources Database is a catalog of interactive tutorials, videos, online classes, finding aids, and other instructional resources on National Library of Medicine (NLM) products and services. Resources may be available for immediate use via a browser or downloadable for use in course management systems.",
  "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/088c6dac-68b3-4c1c-a77e-1b43d21fc919",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/088c6dac-68b3-4c1c-a77e-1b43d21fc919/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/16bf6d30-1432-46b4-b93c-5f354e5207f6",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/16bf6d30-1432-46b4-b93c-5f354e5207f6/raw",
  "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/kipu-qxy8",
- "keyword": [
- "adenovirus",
- "covid-19",
- "enterovirus",
- "evd-68",
- "human coronaviruses",
- "human metapneumovirus",
- "influenza",
- "medically attended illness",
- "ncird-corvd",
- "parainfluenza virus",
- "pediatric",
- "respiratory illness",
- "rhinovirus",
- "rsv",
- "viral detections"
- ],
- "last_harvested_date": "2026-10-01T22:05:34.190639",
+ "has_spatial": false,
+ "identifier": "https://datadiscovery.nlm.nih.gov/api/views/khy6-95gu",
+ "keyword": [
+ "education",
+ "training and instruction",
+ "videos"
+ ],
+ "last_harvested_date": "2026-10-02T22:19:38.741020",
  "organization": {
  "aliases": [
  "US",
@@ -337,137 +371,92 @@
  "organization_type": "Federal Government",
  "slug": "hhs"
  },
- "parent_identifier": "Yes",
- "popularity": 2,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "percent-positivity-of-viral-detections-among-enrolled-children-in-the-new-vaccine-surveill",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "Public Health Surveillance"
- ],
- "title": "Percent Positivity of Viral Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 2017–Present",
+ "parent_identifier": null,
+ "popularity": 99,
+ "publisher": "National Library of Medicine",
+ "slug": "learning-resources-database",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "theme": [
+ "Health Education"
+ ],
+ "title": "Learning Resources Database",
  "type": "dataset"
  },
  {
- "_score": 7.618229,
+ "_score": 16.243528,
  "_sort": [
- 1790892288231,
- 7.618229,
- 9,
- "ab421edc-42a0-4f5d-bf7e-c420396e97a2"
+ 1790979239526,
+ 16.243528,
+ 18,
+ "c0920c3f-0339-4eac-9b66-6495cc508a41"
  ],
  "access_level": "public",
  "dcat": {
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
- "009:20"
+ "009:00"
  ],
  "contactPoint": {
  "@type": "vcard:Contact",
- "fn": "NNDSS Team",
- "hasEmail": "mailto:NNDSSWeb@cdc.gov"
- },
- "description": "NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\n\nNotes:\n\n• These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
+ "fn": "Office of the Assistant Secretary for Public Affairs",
+ "hasEmail": "mailto:media@acf.hhs.gov"
+ },
+ "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",
  "distribution": [
  {
  "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/export.csv?accessType=DOWNLOAD",
+ "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.json",
+ "describedByType": "application/json",
+ "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.json?accessType=DOWNLOAD",
+ "mediaType": "application/json"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.xml",
+ "describedByType": "application/xml",
+ "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.xml?accessType=DOWNLOAD",
+ "mediaType": "application/xml"
+ },
+ {
+ "@type": "dcat:Distribution",
+ "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/export.csv?accessType=DOWNLOAD",
  "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/export.kml?accessType=DOWNLOAD",
- "mediaType": "application/vnd.google-earth.kml+xml"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/export.kmz?accessType=DOWNLOAD",
- "mediaType": "application/vnd.google-earth.kmz"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/query.geojson?accessType=DOWNLOAD",
- "mediaType": "application/geo+json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/x9gk-5huc/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
  }
  ],
- "identifier": "https://data.cdc.gov/api/views/x9gk-5huc",
- "issued": "2022-01-18",
- "keyword": [
- "2022",
- "nndss",
- "wonder"
- ],
- "landingPage": "https://data.cdc.gov/d/x9gk-5huc",
- "license": "http://opendefinition.org/licenses/odc-odbl/",
- "modified": "2026-09-30",
+ "identifier": "https://healthdata.gov/api/views/ehpz-xc9n",
+ "issued": "2024-03-01",
+ "keyword": [
+ "untagged"
+ ],
+ "landingPage": "https://www.hhs.gov/programs/social-services/unaccompanied-children/index.html",
+ "license": "https://www.usa.gov/government-works",
+ "modified": "2026-10-02",
  "programCode": [
- "009:020"
+ "009:086"
  ],
  "publisher": {
  "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "theme": [
- "NNDSS"
- ],
- "title": "NNDSS Weekly Data"
- },
- "description": "NNDSS - In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.\n\n\nNotes:\n\n• These are weekly cases of selected infectious national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables available at https://www.cdc.gov/nndss/infectious-disease/index.html. Cases reported by state health departments to CDC for weekly publication are subject to ongoing revision of information and delayed reporting. Therefore, numbers listed in later weeks may reflect changes made to these counts as additional information becomes available. Case counts in the tables are presented as published each week. See also Guide to Interpreting Provisional and Finalized NNDSS Data.\n\n• Notices, errata, and other notes are available in the Notice To Data Users page https://www.cdc.gov/nndss/infectious-disease/notice-to-data-users.html.\n\n• The list of national notifiable infectious diseases and conditions and their national surveillance case definitions are available at https://ndc.services.cdc.gov/. This list incorporates the Council of State and Territorial Epidemiologists (CSTE) position statements approved by CSTE for national surveillance.\n\nFootnotes:\n\n*Case counts for reporting years 2024 and 2025 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://www.cdc.gov/nndss/docs/Readers-Guide-WONDER-Tables-20210421-508.pdf.\n†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).\n• Please refer to the Stacks publication for weekly updates to the footnote for influenza-associated pediatric mortality.\nU: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.\n-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.\nN: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.\nNN: Not nationally notifiable — This condition was not designated as being nationally notifiable.\nNP: Nationally notifiable but not published.\nNC: Not calculated — There is insufficient data available to support the calculation of this statistic.\nCum: Cumulative year-to-date counts.\nMax: Maximum — Maximum case count during the previous 52 weeks.",
+ "name": "HHS"
+ },
+ "temporal": "2021-03/P2M",
+ "theme": [
+ "National"
+ ],
+ "title": "HHS Unaccompanied Alien Children Program"
+ },
+ "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",
  "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/8c4ae4c5-2121-4570-af44-c3c10c4244be",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/8c4ae4c5-2121-4570-af44-c3c10c4244be/raw",
+ "harvest_record": "https://catalog.data.gov/harvest_record/896a7722-050b-4015-a176-d44887c7e6ca",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/896a7722-050b-4015-a176-d44887c7e6ca/raw",
  "has_download": true,
  "has_spatial": false,
- "identifier": "https://data.cdc.gov/api/views/x9gk-5huc",
- "keyword": [
- "2022",
- "nndss",
- "wonder"
- ],
- "last_harvested_date": "2026-10-01T22:04:48.231740",
+ "identifier": "https://healthdata.gov/api/views/ehpz-xc9n",
+ "keyword": [
+ "untagged"
+ ],
+ "last_harvested_date": "2026-10-02T22:13:59.526125",
  "organization": {
  "aliases": [
  "US",
@@ -483,107 +472,7 @@
  "slug": "hhs"
  },
  "parent_identifier": null,
- "popularity": 9,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "nndss-weekly-data",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [
- "NNDSS"
- ],
- "title": "NNDSS Weekly Data",
- "type": "dataset"
- },
- {
- "_score": 16.234737,
- "_sort": [
- 1790892211549,
- 16.234737,
- 5,
- "c0920c3f-0339-4eac-9b66-6495cc508a41"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "009:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Office of the Assistant Secretary for Public Affairs",
- "hasEmail": "mailto:media@acf.hhs.gov"
- },
- "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.json",
- "describedByType": "application/json",
- "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "describedBy": "https://healthdata.gov/api/views/ehpz-xc9n/columns.xml",
- "describedByType": "application/xml",
- "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://healthdata.gov/api/v3/views/ehpz-xc9n/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- }
- ],
- "identifier": "https://healthdata.gov/api/views/ehpz-xc9n",
- "issued": "2024-03-01",
- "keyword": [
- "untagged"
- ],
- "landingPage": "https://www.hhs.gov/programs/social-services/unaccompanied-children/index.html",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-10-01",
- "programCode": [
- "009:086"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "HHS"
- },
- "temporal": "2021-03/P2M",
- "theme": [
- "National"
- ],
- "title": "HHS Unaccompanied Alien Children Program"
- },
- "description": "This data represents unaccompanied alien children who are taken into custody by Customs and Border Protection brought to a facility and processed for transfer to the Department of Health and Human Services (HHS) as required by law. HHS holds the child for testing and quarantine, and shelters the child until the child is placed with a sponsor here in the United States.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/989a508f-48f3-4fe8-9c1d-0fe0cd4169d3",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/989a508f-48f3-4fe8-9c1d-0fe0cd4169d3/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "https://healthdata.gov/api/views/ehpz-xc9n",
- "keyword": [
- "untagged"
- ],
- "last_harvested_date": "2026-10-01T22:03:31.549538",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 5,
+ "popularity": 18,
  "publisher": "HHS",
  "slug": "hhs-unaccompanied-alien-children-program",
  "spatial_centroid": null,
@@ -595,3697 +484,11 @@
  "type": "dataset"
  },
  {
- "_score": 3.0941792,
+ "_score": 15.745532,
  "_sort": [
- 1790892125649,
- 3.0941792,
+ 1790974724027,
+ 15.745532,
  2,
- "5780eeef-b4cd-4325-a50c-fa729de72881"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "CDC-INFO",
- "hasEmail": "mailto:cdcinfo@cdc.gov"
- },
- "description": "Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/r229-z6ma/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/r229-z6ma/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/r229-z6ma/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/r229-z6ma",
- "isPartOf": "Yes",
- "issued": "2024-02-28",
- "keyword": [
- "adenovirus",
- "covid-19",
- "enterovirus",
- "evd-68",
- "human coronaviruses",
- "human metapneumovirus",
- "influenza",
- "medically attended illness",
- "ncird-corvd",
- "parainfluenza virus",
- "pediatric",
- "respiratory illness",
- "rhinovirus",
- "rsv",
- "viral detections"
- ],
- "landingPage": "https://www.cdc.gov/surveillance/nvsn/index.html",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-30",
- "programCode": [
- "009:026"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "theme": [
- "Public Health Surveillance"
- ],
- "title": "Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period"
- },
- "description": "Percent positivity of 9 viral pathogens, and enrollment counts of children with ARI by week for the past 12 months (rolling x-axis).",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/cfeb6e82-05c6-47dd-a669-b0cad643cacf",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/cfeb6e82-05c6-47dd-a669-b0cad643cacf/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/r229-z6ma",
- "keyword": [
- "adenovirus",
- "covid-19",
- "enterovirus",
- "evd-68",
- "human coronaviruses",
- "human metapneumovirus",
- "influenza",
- "medically attended illness",
- "ncird-corvd",
- "parainfluenza virus",
- "pediatric",
- "respiratory illness",
- "rhinovirus",
- "rsv",
- "viral detections"
- ],
- "last_harvested_date": "2026-10-01T22:02:05.649045",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": "Yes",
- "popularity": 2,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "pathogen-detections-among-enrolled-children-in-the-new-vaccine-surveillance-network-nvsn-a",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "Public Health Surveillance"
- ],
- "title": "Pathogen Detections Among Enrolled Children in the New Vaccine Surveillance Network (NVSN), Acute Respiratory Illnesses (ARI), 12 Month Rolling Period",
- "type": "dataset"
- },
- {
- "_score": 12.759761,
- "_sort": [
- 1790890593624,
- 12.759761,
- 0,
- "1b714a53-ff3f-4e74-9f5b-fcfa1119f9d5"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:24"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NPS IRMA Help",
- "hasEmail": "mailto:NRSS_DataStore@nps.gov"
- },
- "description": "This dataset contains long-term monitoring data for vocalizing anurans (frogs/toads) at seven national park units in the Great Lakes region. Anurans and other amphibians are sensitive ecological indicators of both conservation concern and regional relevance. Declining amphibian populations are among the most prominent global issues in conservation biology today. Having both aquatic and terrestrial life stages, amphibians serve as watershed-scale integrators and sentinels of changing environmental conditions (e.g., regional weather patterns, biogeochemistry, land use and cover). As a bioindicator of wetland ecosystem health, the Great Lakes Inventory and Monitoring Network conducts acoustic monitoring of 14 species of vocalizing anurans at wetlands in seven national park units during their breeding seasons to track long-term trends in site occupancy, breeding phenology, and taxonomic richness.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "Ambient air temperature data collected hourly at automated recording unit locations for 2016 to 2023",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763378?Reference=2320505",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "GLKN_AmphibianTemperatureData_2016-2023.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "EML Metadata",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763466?Reference=2320505",
- "format": "xml",
- "mediaType": "application/xml",
- "title": "GLKN_Amphibians_2016-2023_metadata.xml"
- },
- {
- "@type": "dcat:Distribution",
- "description": "Vocalizing amphibian detection, call intensity, and monitoring information for 2016 to 2023",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763377?Reference=2320505",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "GLKN_AmphibianMonitoringData_2016-2023.csv"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2320505",
- "issued": "2026-09-30T00:00:00Z",
- "keyword": [
- "Acris blanchardi",
- "American Toad",
- "Anaxyrus americanus",
- "Anaxyrus fowleri",
- "Apostle Islands National Lakeshore",
- "Blanchard's Cricket Frog",
- "Boreal Chorus Frog",
- "Chorus Frog",
- "Cope's Gray Treefrog",
- "Dryophytes chrysoscelis",
- "Dryophytes versicolor",
- "Fowler's Toad",
- "Grand Portage National Monument",
- "Gray Treefrog",
- "Great Lakes",
- "Great Lakes Network",
- "Hyla chrysoscelis",
- "Hyla versicolor",
- "Indiana",
- "Indiana Dunes National Lakeshore",
- "Indiana Dunes National Park",
- "Isle Royale National Park",
- "Lithobates catesbeianus",
- "Lithobates clamitans",
- "Lithobates palustris",
- "Lithobates pipiens",
- "Lithobates septentrionalis",
- "Lithobates sylvaticus",
- "Michigan",
- "Mink Frog",
- "Minnesota",
- "Mississippi National River and Recreation Area",
- "North American Bullfrog",
- "North American Green Frog",
- "Northern Leopard Frog",
- "Pickerel Frog",
- "Pictured Rocks National Lakeshore",
- "Pseudacris crucifer",
- "Pseudacris maculata",
- "Pseudacris triseriata",
- "Sleeping Bear Dunes National Lakeshore",
- "Spring Peeper",
- "Striped Chorus Frog",
- "Western Chorus Frog",
- "Wisconsin",
- "Wood Frog",
- "amphibian",
- "amphibian monitoring",
- "amphibian protocol",
- "anuran",
- "autonomous recording unit",
- "bioacoustics",
- "breeding season",
- "frog",
- "monitoring",
- "passive acoustic monitoring",
- "toad"
- ],
- "landingPage": "https://irma.nps.gov/DataStore/Reference/Profile/2320505",
- "license": "http://www.usa.gov/publicdomain/label/1.0/",
- "modified": "2026-09-30T00:00:00Z",
- "programCode": [
- "010:118",
- "010:119"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "National Park Service"
- },
- "spatial": "-93.5226,41.5075,-85.7963,48.3021",
- "temporal": "2016-01-01/2023-01-01",
- "theme": [
- "Data Package"
- ],
- "title": "Great Lakes Amphibian Monitoring Bioacoustics Data Package by the Great Lakes Inventory and Monitoring Network"
- },
- "description": "This dataset contains long-term monitoring data for vocalizing anurans (frogs/toads) at seven national park units in the Great Lakes region. Anurans and other amphibians are sensitive ecological indicators of both conservation concern and regional relevance. Declining amphibian populations are among the most prominent global issues in conservation biology today. Having both aquatic and terrestrial life stages, amphibians serve as watershed-scale integrators and sentinels of changing environmental conditions (e.g., regional weather patterns, biogeochemistry, land use and cover). As a bioindicator of wetland ecosystem health, the Great Lakes Inventory and Monitoring Network conducts acoustic monitoring of 14 species of vocalizing anurans at wetlands in seven national park units during their breeding seasons to track long-term trends in site occupancy, breeding phenology, and taxonomic richness.",
- "distribution_titles": [
- "GLKN_AmphibianTemperatureData_2016-2023.csv",
- "GLKN_Amphibians_2016-2023_metadata.xml",
- "GLKN_AmphibianMonitoringData_2016-2023.csv"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/54cf7baf-ff09-4447-9095-af6a6d4d5967",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/54cf7baf-ff09-4447-9095-af6a6d4d5967/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2320505",
- "keyword": [
- "Acris blanchardi",
- "American Toad",
- "Anaxyrus americanus",
- "Anaxyrus fowleri",
- "Apostle Islands National Lakeshore",
- "Blanchard's Cricket Frog",
- "Boreal Chorus Frog",
- "Chorus Frog",
- "Cope's Gray Treefrog",
- "Dryophytes chrysoscelis",
- "Dryophytes versicolor",
- "Fowler's Toad",
- "Grand Portage National Monument",
- "Gray Treefrog",
- "Great Lakes",
- "Great Lakes Network",
- "Hyla chrysoscelis",
- "Hyla versicolor",
- "Indiana",
- "Indiana Dunes National Lakeshore",
- "Indiana Dunes National Park",
- "Isle Royale National Park",
- "Lithobates catesbeianus",
- "Lithobates clamitans",
- "Lithobates palustris",
- "Lithobates pipiens",
- "Lithobates septentrionalis",
- "Lithobates sylvaticus",
- "Michigan",
- "Mink Frog",
- "Minnesota",
- "Mississippi National River and Recreation Area",
- "North American Bullfrog",
- "North American Green Frog",
- "Northern Leopard Frog",
- "Pickerel Frog",
- "Pictured Rocks National Lakeshore",
- "Pseudacris crucifer",
- "Pseudacris maculata",
- "Pseudacris triseriata",
- "Sleeping Bear Dunes National Lakeshore",
- "Spring Peeper",
- "Striped Chorus Frog",
- "Western Chorus Frog",
- "Wisconsin",
- "Wood Frog",
- "amphibian",
- "amphibian monitoring",
- "amphibian protocol",
- "anuran",
- "autonomous recording unit",
- "bioacoustics",
- "breeding season",
- "frog",
- "monitoring",
- "passive acoustic monitoring",
- "toad"
- ],
- "last_harvested_date": "2026-10-01T21:36:33.624976",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
- "name": "Department of the Interior",
- "organization_type": "Federal Government",
- "slug": "doi"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "National Park Service",
- "slug": "great-lakes-amphibian-monitoring-bioacoustics-data-package-by-the-great-lakes-inventory-an",
- "spatial_centroid": {
- "lat": 44.22534,
- "lon": -90.43208
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -93.5226,
- 41.5075
- ],
- [
- -93.5226,
- 48.3021
- ],
- [
- -85.7963,
- 48.3021
- ],
- [
- -85.7963,
- 41.5075
- ],
- [
- -93.5226,
- 41.5075
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "Data Package"
- ],
- "title": "Great Lakes Amphibian Monitoring Bioacoustics Data Package by the Great Lakes Inventory and Monitoring Network",
- "type": "dataset"
- },
- {
- "_score": 3.1883326,
- "_sort": [
- 1790890417065,
- 3.1883326,
- 0,
- "5ab19bfe-b380-4afc-b68b-a76fa76d2f3a"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:24"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "NPS IRMA Help",
- "hasEmail": "mailto:NRSS_DataStore@nps.gov"
- },
- "description": "This data package contains records and metadata from the New River Gorge National Park and Preserve Oak Regeneration Study which examines the individual and combined effects of prescribed fire, deer herbivory, and canopy thinning on tree regeneration and ground layer diversity in dry oak-dominated forests. Data from 134 plots are part of a randomized split-plot design experiment with treatments of prescribed fire (burned or unburned) and deer exclosure fence (present or absent) at two sites (Grandview and Backus). Ten plots are part of an oak forest restoration project on Highland Mountain. Data on trees, tree regeneration, groundstory diversity, and herbaceous plants sensitive to deer browse were collected at these plots between 2015 – 2025 by National Park Service staff from the Eastern Rivers and Mountains Inventory and Monitoring Network, New River Gorge National Park and Preserve, and Regional Fire Effects Monitoring Crews. Standard operating procedures were followed by all crews collecting data for this study.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "EML Metadata",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763232?Reference=2320078",
- "format": "xml",
- "mediaType": "application/xml",
- "title": "NERI_OakRegen_2320078_metadata.xml"
- },
- {
- "@type": "dcat:Distribution",
- "description": "event data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763229?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Events.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "herbaceous data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763230?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Herbs.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "indicator data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763231?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Indicators.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "sapling data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763234?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Saplings.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "seedling data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763235?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Seedlings.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "species list by park for NPSpecies for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763233?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_NPSpecies.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "stand data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763236?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Stand.csv"
- },
- {
- "@type": "dcat:Distribution",
- "description": "tree data for NERI Oak Regeneration 2015-2025",
- "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/763237?Reference=2320078",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "NERI_OakRegen_2320078_Trees.csv"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2320078",
- "issued": "2026-09-24T00:00:00Z",
- "keyword": [
- "Acer",
- "Acer pensylvanicum",
- "Acer rubrum",
- "Acer saccharum",
- "Allegheny serviceberry",
- "Amelanchier",
- "Amelanchier arborea",
- "American basswood",
- "American beech",
- "American chestnut",
- "American hornbeam",
- "Asimina triloba",
- "Benthamidia florida",
- "Betula",
- "Betula lenta",
- "Canada hemlock",
- "Carpinus caroliniana",
- "Carya",
- "Carya glabra",
- "Carya ovata",
- "Carya tomentosa",
- "Castanea dentata",
- "Crataegus",
- "ERMN",
- "Eastern Rivers and Mountains Network",
- "Fagus grandifolia",
- "Flowering Dogwood",
- "Fraser's magnolia",
- "Fraxinus",
- "Fraxinus americana",
- "Halesia tetraptera",
- "IMD",
- "Inventory and Monitoring Division",
- "Liquidambar styraciflua",
- "Liriodendron tulipifera",
- "Magnolia acuminata",
- "Magnolia fraseri",
- "Malus",
- "NERI",
- "NPS",
- "National Park Service",
- "New River Gorge National Park and Preserve",
- "Nyssa sylvatica",
- "Oak forest",
- "Ostrya virginiana",
- "Oxydendrum arboreum",
- "Pinus strobus",
- "Populus grandidentata",
- "Prunus",
- "Prunus avium",
- "Prunus serotina",
- "Quercus",
- "Quercus alba",
- "Quercus coccinea",
- "Quercus montana",
- "Quercus rubra",
- "Quercus velutina",
- "Robinia pseudoacacia",
- "Rosaceae",
- "Sassafras albidum",
- "Swida",
- "Tilia americana",
- "Tsuga canadensis",
- "Ulmus",
- "Weymouth pine",
- "apple",
- "apple shadbush",
- "ash",
- "bigtooth aspen",
- "birch",
- "black cherry",
- "black chokecherry",
- "black gum",
- "black locust",
- "black oak",
- "black tupelo",
- "blackgum",
- "bois-jaune",
- "caryer",
- "caryer ovale",
- "chestnut oak",
- "chokecherry",
- "common serviceberry",
- "cucumber-tree",
- "cucumbertree",
- "deer exclosure",
- "downy serviceberry",
- "eastern hemlock",
- "eastern hophornbeam",
- "eastern white pine",
- "elm",
- "false acacia",
- "forest health monitoring",
- "hawthorns",
- "hemlock spruce",
- "hickory",
- "hophornbeam",
- "lily-of-the-valley tree",
- "maples",
- "mesophication",
- "mockernut hickory",
- "moosewood",
- "mountain magnolia",
- "mountain silverbell",
- "northern red oak",
- "northern white pine",
- "noyer tendre",
- "oak",
- "pawpaw",
- "pignut hickory",
- "plum",
- "prescribed fire",
- "red maple",
- "regeneration debt",
- "roses",
- "sassafras",
- "scarlet oak",
- "serviceberry",
- "shadblow",
- "shagbark hickory",
- "shellbark hickory",
- "soft pine",
- "sorrel tree",
- "sourwood",
- "striped maple",
- "sugar maple",
- "sweet birch",
- "sweet cherry",
- "sweet pignut",
- "sweetgum",
- "tulip poplar",
- "tulip-poplar",
- "tuliptree",
- "white ash",
- "white oak",
- "white pine",
- "yellow locust",
- "yellow poplar",
- "yellow-poplar"
- ],
- "landingPage": "https://irma.nps.gov/DataStore/Reference/Profile/2320078",
- "license": "http://www.usa.gov/publicdomain/label/1.0/",
- "modified": "2026-09-24T00:00:00Z",
- "programCode": [
- "010:118",
- "010:119"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "National Park Service"
- },
- "spatial": "-81.1565,37.6742,-80.8562,38.119",
- "temporal": "2015-01-01/2025-01-01",
- "theme": [
- "Data Package"
- ],
- "title": "Oak Regeneration Study Data at New River Gorge National Park and Preserve (2015-2025) Data Package"
- },
- "description": "This data package contains records and metadata from the New River Gorge National Park and Preserve Oak Regeneration Study which examines the individual and combined effects of prescribed fire, deer herbivory, and canopy thinning on tree regeneration and ground layer diversity in dry oak-dominated forests. Data from 134 plots are part of a randomized split-plot design experiment with treatments of prescribed fire (burned or unburned) and deer exclosure fence (present or absent) at two sites (Grandview and Backus). Ten plots are part of an oak forest restoration project on Highland Mountain. Data on trees, tree regeneration, groundstory diversity, and herbaceous plants sensitive to deer browse were collected at these plots between 2015 – 2025 by National Park Service staff from the Eastern Rivers and Mountains Inventory and Monitoring Network, New River Gorge National Park and Preserve, and Regional Fire Effects Monitoring Crews. Standard operating procedures were followed by all crews collecting data for this study.",
- "distribution_titles": [
- "NERI_OakRegen_2320078_metadata.xml",
- "NERI_OakRegen_2320078_Events.csv",
- "NERI_OakRegen_2320078_Herbs.csv",
- "NERI_OakRegen_2320078_Indicators.csv",
- "NERI_OakRegen_2320078_Saplings.csv",
- "NERI_OakRegen_2320078_Seedlings.csv",
- "NERI_OakRegen_2320078_NPSpecies.csv",
- "NERI_OakRegen_2320078_Stand.csv",
- "NERI_OakRegen_2320078_Trees.csv"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/e898052c-4bbe-4f91-8a5c-2b5df9be7dce",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/e898052c-4bbe-4f91-8a5c-2b5df9be7dce/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/NPS_DataStore_2320078",
- "keyword": [
- "Acer",
- "Acer pensylvanicum",
- "Acer rubrum",
- "Acer saccharum",
- "Allegheny serviceberry",
- "Amelanchier",
- "Amelanchier arborea",
- "American basswood",
- "American beech",
- "American chestnut",
- "American hornbeam",
- "Asimina triloba",
- "Benthamidia florida",
- "Betula",
- "Betula lenta",
- "Canada hemlock",
- "Carpinus caroliniana",
- "Carya",
- "Carya glabra",
- "Carya ovata",
- "Carya tomentosa",
- "Castanea dentata",
- "Crataegus",
- "ERMN",
- "Eastern Rivers and Mountains Network",
- "Fagus grandifolia",
- "Flowering Dogwood",
- "Fraser's magnolia",
- "Fraxinus",
- "Fraxinus americana",
- "Halesia tetraptera",
- "IMD",
- "Inventory and Monitoring Division",
- "Liquidambar styraciflua",
- "Liriodendron tulipifera",
- "Magnolia acuminata",
- "Magnolia fraseri",
- "Malus",
- "NERI",
- "NPS",
- "National Park Service",
- "New River Gorge National Park and Preserve",
- "Nyssa sylvatica",
- "Oak forest",
- "Ostrya virginiana",
- "Oxydendrum arboreum",
- "Pinus strobus",
- "Populus grandidentata",
- "Prunus",
- "Prunus avium",
- "Prunus serotina",
- "Quercus",
- "Quercus alba",
- "Quercus coccinea",
- "Quercus montana",
- "Quercus rubra",
- "Quercus velutina",
- "Robinia pseudoacacia",
- "Rosaceae",
- "Sassafras albidum",
- "Swida",
- "Tilia americana",
- "Tsuga canadensis",
- "Ulmus",
- "Weymouth pine",
- "apple",
- "apple shadbush",
- "ash",
- "bigtooth aspen",
- "birch",
- "black cherry",
- "black chokecherry",
- "black gum",
- "black locust",
- "black oak",
- "black tupelo",
- "blackgum",
- "bois-jaune",
- "caryer",
- "caryer ovale",
- "chestnut oak",
- "chokecherry",
- "common serviceberry",
- "cucumber-tree",
- "cucumbertree",
- "deer exclosure",
- "downy serviceberry",
- "eastern hemlock",
- "eastern hophornbeam",
- "eastern white pine",
- "elm",
- "false acacia",
- "forest health monitoring",
- "hawthorns",
- "hemlock spruce",
- "hickory",
- "hophornbeam",
- "lily-of-the-valley tree",
- "maples",
- "mesophication",
- "mockernut hickory",
- "moosewood",
- "mountain magnolia",
- "mountain silverbell",
- "northern red oak",
- "northern white pine",
- "noyer tendre",
- "oak",
- "pawpaw",
- "pignut hickory",
- "plum",
- "prescribed fire",
- "red maple",
- "regeneration debt",
- "roses",
- "sassafras",
- "scarlet oak",
- "serviceberry",
- "shadblow",
- "shagbark hickory",
- "shellbark hickory",
- "soft pine",
- "sorrel tree",
- "sourwood",
- "striped maple",
- "sugar maple",
- "sweet birch",
- "sweet cherry",
- "sweet pignut",
- "sweetgum",
- "tulip poplar",
- "tulip-poplar",
- "tuliptree",
- "white ash",
- "white oak",
- "white pine",
- "yellow locust",
- "yellow poplar",
- "yellow-poplar"
- ],
- "last_harvested_date": "2026-10-01T21:33:37.065799",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
- "name": "Department of the Interior",
- "organization_type": "Federal Government",
- "slug": "doi"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "National Park Service",
- "slug": "oak-regeneration-study-data-at-new-river-gorge-national-park-and-preserve-2015-2025-data-p",
- "spatial_centroid": {
- "lat": 37.85212,
- "lon": -81.03638
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -81.1565,
- 37.6742
- ],
- [
- -81.1565,
- 38.119
- ],
- [
- -80.8562,
- 38.119
- ],
- [
- -80.8562,
- 37.6742
- ],
- [
- -81.1565,
- 37.6742
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "Data Package"
- ],
- "title": "Oak Regeneration Study Data at New River Gorge National Park and Preserve (2015-2025) Data Package",
- "type": "dataset"
- },
- {
- "_score": 6.4169245,
- "_sort": [
- 1790821184130,
- 6.4169245,
- 0,
- "c7b2751c-ea58-4a1f-bb0e-2e6ac2901cea"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Rebecca M Gorney",
- "hasEmail": "mailto:rgorney@usgs.gov"
- },
- "description": "This data release contains analytical results from an experiment examining biofouling of solid phase adsorption toxin tracking (SPATT) samplers deployed between July and September 2024 in two lakes in Central Park (The Lake and Turtle Pond) in New York City, New York, and at an urban wetland in Nashville, Tennessee (Tennessee State University [TSU] wetland). At each site, SPATT samplers were deployed under different conditions (sun and shade) and with or without a mechanical biofouling deterrent (105-micrometer copper mesh). The release includes cyanotoxin concentrations measured in SPATT extract (from the adsorbent resin) and SPATT biofilm (material scraped from the sampler surface), determined by liquid chromatography and tandem mass spectrometry (LC-MS/MS and LC-MS). It also includes phytoplankton identification and enumeration data from ambient (native) water and from SPATT biofilm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P145M7VZ",
- "description": "Landing page for access to the data",
- "format": "XML",
- "mediaType": "application/http",
- "title": "Digital Data"
- },
- {
- "@type": "dcat:Distribution",
- "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.691cecf1d4be021d1d89b387.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_691cecf1d4be021d1d89b387",
- "keyword": [
- "Aquatic Biology",
- "Central Park",
- "Davidson",
- "LC-MS/MS",
- "Limnology",
- "Nashville",
- "New York",
- "SPATT",
- "Tennessee",
- "The Lake",
- "The Lake Bank Rock Bay IN Central Park at NY NY (Site ID: 404644073581801)",
- "The Lake at Central Park",
- "Tsu Upper Wetland a North Nashville TN (Site ID: 361028086492601)",
- "Turtle Pond",
- "Turtle Pond Overlook IN Central Park NY NY (Site ID: 404648073580601)",
- "USGS:691cecf1d4be021d1d89b387",
- "United States",
- "Water Resources",
- "algae",
- "algal blooms",
- "anatoxin",
- "biota",
- "congener",
- "cyanobacteria",
- "cyanotoxin",
- "cylindrospermopsin",
- "ecotoxicology",
- "environment",
- "environmental proxies",
- "fresh water (surface)",
- "freshwater ecosystems",
- "hazards",
- "health",
- "limnology",
- "mass spectrometry",
- "microcystin",
- "periphyton",
- "phytoplankton",
- "solid phase adsorption toxin tracking",
- "surface water quality",
- "water Quality",
- "water Resources"
- ],
- "modified": "2026-09-28T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-87.3633, 35.6751, -73.4546, 41.0794",
- "theme": [
- "geospatial"
- ],
- "title": "Anti-biofouling strategies for solid phase adsorption toxin tracking (SPATT) in two New York lakes and a Tennessee wetland in 2024"
- },
- "description": "This data release contains analytical results from an experiment examining biofouling of solid phase adsorption toxin tracking (SPATT) samplers deployed between July and September 2024 in two lakes in Central Park (The Lake and Turtle Pond) in New York City, New York, and at an urban wetland in Nashville, Tennessee (Tennessee State University [TSU] wetland). At each site, SPATT samplers were deployed under different conditions (sun and shade) and with or without a mechanical biofouling deterrent (105-micrometer copper mesh). The release includes cyanotoxin concentrations measured in SPATT extract (from the adsorbent resin) and SPATT biofilm (material scraped from the sampler surface), determined by liquid chromatography and tandem mass spectrometry (LC-MS/MS and LC-MS). It also includes phytoplankton identification and enumeration data from ambient (native) water and from SPATT biofilm.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/6e1bfa0d-3ffe-4ed6-bd68-de4504641601",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/6e1bfa0d-3ffe-4ed6-bd68-de4504641601/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_691cecf1d4be021d1d89b387",
- "keyword": [
- "Aquatic Biology",
- "Central Park",
- "Davidson",
- "LC-MS/MS",
- "Limnology",
- "Nashville",
- "New York",
- "SPATT",
- "Tennessee",
- "The Lake",
- "The Lake Bank Rock Bay IN Central Park at NY NY (Site ID: 404644073581801)",
- "The Lake at Central Park",
- "Tsu Upper Wetland a North Nashville TN (Site ID: 361028086492601)",
- "Turtle Pond",
- "Turtle Pond Overlook IN Central Park NY NY (Site ID: 404648073580601)",
- "USGS:691cecf1d4be021d1d89b387",
- "United States",
- "Water Resources",
- "algae",
- "algal blooms",
- "anatoxin",
- "biota",
- "congener",
- "cyanobacteria",
- "cyanotoxin",
- "cylindrospermopsin",
- "ecotoxicology",
- "environment",
- "environmental proxies",
- "fresh water (surface)",
- "freshwater ecosystems",
- "hazards",
- "health",
- "limnology",
- "mass spectrometry",
- "microcystin",
- "periphyton",
- "phytoplankton",
- "solid phase adsorption toxin tracking",
- "surface water quality",
- "water Quality",
- "water Resources"
- ],
- "last_harvested_date": "2026-10-01T02:19:44.130569",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
- "name": "Department of the Interior",
- "organization_type": "Federal Government",
- "slug": "doi"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "U.S. Geological Survey",
- "slug": "anti-biofouling-strategies-for-solid-phase-adsorption-toxin-tracking-spatt-in-two-new-2024",
- "spatial_centroid": {
- "lat": 37.83682,
- "lon": -81.79982
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -87.3633,
- 35.6751
- ],
- [
- -87.3633,
- 41.0794
- ],
- [
- -73.4546,
- 41.0794
- ],
- [
- -73.4546,
- 35.6751
- ],
- [
- -87.3633,
- 35.6751
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Anti-biofouling strategies for solid phase adsorption toxin tracking (SPATT) in two New York lakes and a Tennessee wetland in 2024",
- "type": "dataset"
- },
- {
- "_score": 11.296208,
- "_sort": [
- 1790818056734,
- 11.296208,
- 0,
- "0cc48ef7-7236-46d3-82db-02e26cd734d9"
- ],
- "access_level": "public",
- "dcat": {
- "accessLevel": "public",
- "bureauCode": [
- "010:12"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "Rosemary M Fanelli",
- "hasEmail": "mailto:rfanelli@usgs.gov"
- },
- "description": "This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning gradients of forest and developed land uses and the implementation of agricultural best management practices in the Piedmont region within Maryland, Washington, DC, and Virginia, USA. This setting is the fourth of four settings or \"typologies\" that will be assessed for the USGS Chesapeake Stream Team project. High-frequency stage, water temperature, and air temperature (15-minute data) were measured by the U.S. Geological Survey (USGS) from March 2024 to September 2024 and are available at McFarland and others (2025; DOI: https://doi.org/10.5066/P13JW8QF). Additional daily air temperature and precipitation data were acquired from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) climate data website. Air temperature and water temperature data were used to compute stream water temperature metrics describing stream temperature conditions in each stream during the monitoring period. Stream stage and precipitation data were used to derive stream stage metrics describing stage conditions (a surrogate for flow) for each stream during the monitoring period. Precipitation and air temperature data from PRISM were also used to compute air temperature metrics and precipitation metrics describing climate conditions during the monitoring period. The metrics include:\nAir temperature metrics \n- Mean daily minimum, mean, and maximum air temperature\nPrecipitation metrics \n- Total precipitation depth\n- Maximum daily precipitation depth\n- Average precipitation depth per days with precipitation\n- Frequency of precipitation days\nStream stage metrics\n- Number of runoff events\n- Frequency of runoff events \n- Standard deviation in unit-value stage\nStream water temperature metrics\n- Coefficient of variation of mean and maximum daily water temperatures\n- Number of days with temperatures of 20 or 25 degrees Celsius or greater\n- Duration of time above 20 or 25 degrees Celsius or greater\n- Maximum of seven-day moving average of daily maximum temperature and daily mean temperature\n- Mean of daily minimum, mean, maximum, and daily water temperature range\n- A thermal sensitivity metric, which is the slope estimate from linear regression model of mean daily water temperature versus mean daily air temperature\nThis data release contains six files:\n1. \"Readme.pdf\": This is an expanded narrative describing the methods by which the input data were compiled and screened, and metrics were computed\n2. \"typology_4_temperature_stage_climate_metric_data_dictionary.csv\": This file contains descriptions of each metric and the time periods for which they were computed in the “typology_4_temperature_stage_climate_summary_metrics.csv\" file\n3. \"typology_4_temperature_stage_climate_summary_metrics.csv\": This file contains stream temperature metrics, stage metrics, and climate summary metrics for each of the 30 stream sites for different time periods within the overall monitoring period.\n4. \"typology_4_input_data_high_frequency_temperature_and_stage.zip\": This zipped folder contains 30 .csv files, which contain the high-frequency stage, water temperature, and air temperature data collected at each of the 30 stream sites. The file names include the SiteID, which is the four-letter site identification listed in the \"typology_3_temperature_stage_climate_summary_metrics.csv\" file.\n5. \"typology_4_input_data_daily_climate.csv\": This file contains daily climate estimates (precipitation depth, daily minimum, mean, and maximum air temperatures) from PRISM paired to each of the 30 sites.\n6. \"typology_4_runoff_events.csv\": This file contains the stage rise and precipitation data used for some of the stage metric computations.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://doi.org/10.5066/P14XBLPB",
- "description": "Landing page for access to the data",
- "format": "XML",
- "mediaType": "application/http",
- "title": "Digital Data"
- },
- {
- "@type": "dcat:Distribution",
- "description": "The metadata original format",
- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6a030eacb66b01f153e0563a.xml",
- "format": "XML",
- "mediaType": "text/xml",
- "title": "Original Metadata"
- }
- ],
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a030eacb66b01f153e0563a",
- "keyword": [
- "Chesapeake Bay watershed",
- "Maryland",
- "USGS:6a030eacb66b01f153e0563a",
- "United States",
- "Virginia",
- "Washington, D.C.",
- "biota",
- "farming",
- "freshwater ecosystems",
- "health",
- "hydrology",
- "water temperature"
- ],
- "modified": "2026-09-28T00:00:00Z",
- "publisher": {
- "@type": "org:Organization",
- "name": "U.S. Geological Survey"
- },
- "spatial": "-77.6500, 38.2560, -76.6500, 39.4200",
- "theme": [
- "geospatial"
- ],
- "title": "Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Maryland-Washington, DC-Virginia Developed Piedmont Region, 2024"
- },
- "description": "This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning gradients of forest and developed land uses and the implementation of agricultural best management practices in the Piedmont region within Maryland, Washington, DC, and Virginia, USA. This setting is the fourth of four settings or \"typologies\" that will be assessed for the USGS Chesapeake Stream Team project. High-frequency stage, water temperature, and air temperature (15-minute data) were measured by the U.S. Geological Survey (USGS) from March 2024 to September 2024 and are available at McFarland and others (2025; DOI: https://doi.org/10.5066/P13JW8QF). Additional daily air temperature and precipitation data were acquired from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) climate data website. Air temperature and water temperature data were used to compute stream water temperature metrics describing stream temperature conditions in each stream during the monitoring period. Stream stage and precipitation data were used to derive stream stage metrics describing stage conditions (a surrogate for flow) for each stream during the monitoring period. Precipitation and air temperature data from PRISM were also used to compute air temperature metrics and precipitation metrics describing climate conditions during the monitoring period. The metrics include:\nAir temperature metrics \n- Mean daily minimum, mean, and maximum air temperature\nPrecipitation metrics \n- Total precipitation depth\n- Maximum daily precipitation depth\n- Average precipitation depth per days with precipitation\n- Frequency of precipitation days\nStream stage metrics\n- Number of runoff events\n- Frequency of runoff events \n- Standard deviation in unit-value stage\nStream water temperature metrics\n- Coefficient of variation of mean and maximum daily water temperatures\n- Number of days with temperatures of 20 or 25 degrees Celsius or greater\n- Duration of time above 20 or 25 degrees Celsius or greater\n- Maximum of seven-day moving average of daily maximum temperature and daily mean temperature\n- Mean of daily minimum, mean, maximum, and daily water temperature range\n- A thermal sensitivity metric, which is the slope estimate from linear regression model of mean daily water temperature versus mean daily air temperature\nThis data release contains six files:\n1. \"Readme.pdf\": This is an expanded narrative describing the methods by which the input data were compiled and screened, and metrics were computed\n2. \"typology_4_temperature_stage_climate_metric_data_dictionary.csv\": This file contains descriptions of each metric and the time periods for which they were computed in the “typology_4_temperature_stage_climate_summary_metrics.csv\" file\n3. \"typology_4_temperature_stage_climate_summary_metrics.csv\": This file contains stream temperature metrics, stage metrics, and climate summary metrics for each of the 30 stream sites for different time periods within the overall monitoring period.\n4. \"typology_4_input_data_high_frequency_temperature_and_stage.zip\": This zipped folder contains 30 .csv files, which contain the high-frequency stage, water temperature, and air temperature data collected at each of the 30 stream sites. The file names include the SiteID, which is the four-letter site identification listed in the \"typology_3_temperature_stage_climate_summary_metrics.csv\" file.\n5. \"typology_4_input_data_daily_climate.csv\": This file contains daily climate estimates (precipitation depth, daily minimum, mean, and maximum air temperatures) from PRISM paired to each of the 30 sites.\n6. \"typology_4_runoff_events.csv\": This file contains the stage rise and precipitation data used for some of the stage metric computations.",
- "distribution_titles": [
- "Digital Data",
- "Original Metadata"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/f70c91ed-3f1b-4253-b972-51d5311f5e5f",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/f70c91ed-3f1b-4253-b972-51d5311f5e5f/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a030eacb66b01f153e0563a",
- "keyword": [
- "Chesapeake Bay watershed",
- "Maryland",
- "USGS:6a030eacb66b01f153e0563a",
- "United States",
- "Virginia",
- "Washington, D.C.",
- "biota",
- "farming",
- "freshwater ecosystems",
- "health",
- "hydrology",
- "water temperature"
- ],
- "last_harvested_date": "2026-10-01T01:27:36.734639",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "143529f7-2eef-4a07-b227-93ac9e84fad8",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png",
- "name": "Department of the Interior",
- "organization_type": "Federal Government",
- "slug": "doi"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "U.S. Geological Survey",
- "slug": "stream-stage-stream-temperature-and-climate-metrics-for-30-streams-spanning-land-use--2024",
- "spatial_centroid": {
- "lat": 38.7216,
- "lon": -77.25
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -77.65,
- 38.256
- ],
- [
- -77.65,
- 39.42
- ],
- [
- -76.65,
- 39.42
- ],
- [
- -76.65,
- 38.256
- ],
- [
- -77.65,
- 38.256
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Maryland-Washington, DC-Virginia Developed Piedmont Region, 2024",
- "type": "dataset"
- },
- {
- "_score": 6.641279,
- "_sort": [
- 1790806065457,
- 6.641279,
- 19,
- "51fbdae0-92c6-4fec-9b19-630104e78f8c"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "009:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "HHS Office of the Chief Data Officer",
- "hasEmail": "mailto:CDO@hhs.gov"
- },
- "description": "HISTORICAL ARCHIVE (Updated through June 2026): This page contains previous versions of the HHS Data Inventory preserved for historical reference. As of September 2026, HHS modernized the inventory to support routine, dataset-level updates using the DCAT-US v3.0 metadata standard. Because the inventory methodology has evolved, record counts here are not directly comparable to current releases.\n\nTo access active data assets, view the primary machine-readable feed at <a href=\"https://tech.hhs.gov/data.json\">tech.hhs.gov/data.json</a> or search the web interface at <a href=\"https://catalog.data.gov/organization/hhs\">Catalog.Data.gov</a>.\n\nThe U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.\n\n<b>Versions:</b>\n<ul>\n<li><b>118,698 metadata assets</b> (Version 2.5</a> CSV, published 06/22/26)</li>\n<li>117,809 metadata assets</b> (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-06-22T16-30-14.csv\">Version 2.4</a> CSV, published 05/26/26)</li>\n<li>118,407 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-03-27T13-00-14.csv\">Version 2.3</a> CSV, published 04/23/26)</li>\n<li>118,403 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-03-27T13-00-14.csv\">Version 2.2</a> CSV, published 03/27/26)</li>\n<li>113,242 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-02-27T11-53-28.csv\">Version 2.1</a> CSV, published 02/27/26)</li>\n<li>112,628 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-12-19T16-20-11.csv\">Version 2.0</a> CSV, published 12/18/25)</li>\n<li>18,641 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-09-22T17-52-03.csv\">Version 1.1</a> CSV, published 9/22/25)</li>\n<li>8,431 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-07-30T16-18-24.csv\">Version 1.0</a> CSV, published 07/30/25)</li>\n</ul>\nPublic use of this metadata and open data assets helps identify gaps, errors, and opportunities for improvement. Your feedback is essential to enhancing metadata quality and the underlying data that matters most to you. HHS is committed to continuous improvement in information quality.\n\nPlease send suggestions to <a href=\"mailto:cdo@hhs.gov\">cdo@hhs.gov</a>.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "describedBy": "https://healthdata.gov/api/views/kaw8-4tez/columns.json",
- "describedByType": "application/json",
- "downloadURL": "https://healthdata.gov/api/v3/views/kaw8-4tez/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "describedBy": "https://healthdata.gov/api/views/kaw8-4tez/columns.xml",
- "describedByType": "application/xml",
- "downloadURL": "https://healthdata.gov/api/v3/views/kaw8-4tez/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://healthdata.gov/api/v3/views/kaw8-4tez/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- }
- ],
- "identifier": "https://healthdata.gov/api/views/kaw8-4tez",
- "issued": "2025-11-25",
- "keyword": [
- "accountability",
- "catalog",
- "data",
- "data distribution",
- "discoverability",
- "enterprise",
- "evidence-based-guidelines",
- "inventory"
- ],
- "landingPage": "https://healthdata.gov/d/kaw8-4tez",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-30",
- "programCode": [
- "009:110"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "HHS Office of the Chief Data Officer"
- },
- "theme": [
- "HHS"
- ],
- "title": "HHS Data Inventory Archive (Through June 2026)"
- },
- "description": "HISTORICAL ARCHIVE (Updated through June 2026): This page contains previous versions of the HHS Data Inventory preserved for historical reference. As of September 2026, HHS modernized the inventory to support routine, dataset-level updates using the DCAT-US v3.0 metadata standard. Because the inventory methodology has evolved, record counts here are not directly comparable to current releases.\n\nTo access active data assets, view the primary machine-readable feed at <a href=\"https://tech.hhs.gov/data.json\">tech.hhs.gov/data.json</a> or search the web interface at <a href=\"https://catalog.data.gov/organization/hhs\">Catalog.Data.gov</a>.\n\nThe U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.\n\n<b>Versions:</b>\n<ul>\n<li><b>118,698 metadata assets</b> (Version 2.5</a> CSV, published 06/22/26)</li>\n<li>117,809 metadata assets</b> (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-06-22T16-30-14.csv\">Version 2.4</a> CSV, published 05/26/26)</li>\n<li>118,407 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-03-27T13-00-14.csv\">Version 2.3</a> CSV, published 04/23/26)</li>\n<li>118,403 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-03-27T13-00-14.csv\">Version 2.2</a> CSV, published 03/27/26)</li>\n<li>113,242 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2026-02-27T11-53-28.csv\">Version 2.1</a> CSV, published 02/27/26)</li>\n<li>112,628 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-12-19T16-20-11.csv\">Version 2.0</a> CSV, published 12/18/25)</li>\n<li>18,641 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-09-22T17-52-03.csv\">Version 1.1</a> CSV, published 9/22/25)</li>\n<li>8,431 metadata assets (<a href=\"https://us-dhhs-aa.s3.us-east-2.amazonaws.com/kaw8-4tez_2025-07-30T16-18-24.csv\">Version 1.0</a> CSV, published 07/30/25)</li>\n</ul>\nPublic use of this metadata and open data assets helps identify gaps, errors, and opportunities for improvement. Your feedback is essential to enhancing metadata quality and the underlying data that matters most to you. HHS is committed to continuous improvement in information quality.\n\nPlease send suggestions to <a href=\"mailto:cdo@hhs.gov\">cdo@hhs.gov</a>.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/67681697-1812-4b60-815d-b3fe9e1a1f17",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/67681697-1812-4b60-815d-b3fe9e1a1f17/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "https://healthdata.gov/api/views/kaw8-4tez",
- "keyword": [
- "accountability",
- "catalog",
- "data",
- "data distribution",
- "discoverability",
- "enterprise",
- "evidence-based-guidelines",
- "inventory"
- ],
- "last_harvested_date": "2026-09-30T22:07:45.457928",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 19,
- "publisher": "HHS Office of the Chief Data Officer",
- "slug": "hhs-data-inventory",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [
- "HHS"
- ],
- "title": "HHS Data Inventory Archive (Through June 2026)",
- "type": "dataset"
- },
- {
- "_score": 34.127712,
- "_sort": [
- 1790805964872,
- 34.127712,
- 3,
- "bf2a03d9-aab8-416c-8f85-b39eadbb2e7f"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:healthus@cdc.gov"
- },
- "description": "Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdjz-vn2n/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdjz-vn2n/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/rdjz-vn2n/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/rdjz-vn2n",
- "issued": "2025-06-12",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "drug overdose",
- "health us",
- "hispanic or latino",
- "men",
- "native hawaiian or other pacific islander",
- "opioid",
- "white",
- "women"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "temporal": "2018/2024",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER"
- },
- "description": "Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/3ffa03e0-2fb8-446d-9443-da56b5dcc48a",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/3ffa03e0-2fb8-446d-9443-da56b5dcc48a/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/rdjz-vn2n",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "drug overdose",
- "health us",
- "hispanic or latino",
- "men",
- "native hawaiian or other pacific islander",
- "opioid",
- "white",
- "women"
- ],
- "last_harvested_date": "2026-09-30T22:06:04.872660",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 3,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "dev-dqs-drug-overdose-death-rates-by-drug-type-sex-age-race-and-hispanic-origin-united-sta",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER",
- "type": "dataset"
- },
- {
- "_score": 30.915834,
- "_sort": [
- 1790805820175,
- 30.915834,
- 1,
- "9fb5af59-94f1-41fd-b185-b903af540f21"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:cdcinfo@cdc.gov"
- },
- "description": "Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/j7ym-uwqy/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/j7ym-uwqy/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/j7ym-uwqy/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/j7ym-uwqy",
- "issued": "2021-11-17",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "asian or pacific islander",
- "black",
- "bridged race",
- "central and south american",
- "cuban",
- "health us",
- "hispanic",
- "infant deaths",
- "infant mortality",
- "linked birth infant death data set",
- "mexican",
- "mortality rates",
- "national vital statistics system",
- "native hawaiian or other pacific islander",
- "neonatal deaths",
- "neonatal mortality",
- "non-hispanic",
- "nvss",
- "postneonatal deaths",
- "postneonatal mortality",
- "puerto rican",
- "race and hispanic origin of mother",
- "single race",
- "white"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "temporal": "2017/2024",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States"
- },
- "description": "Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/82b8f57a-9dda-47c9-ae13-a40f4a4dd93f",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/82b8f57a-9dda-47c9-ae13-a40f4a4dd93f/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/j7ym-uwqy",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "asian or pacific islander",
- "black",
- "bridged race",
- "central and south american",
- "cuban",
- "health us",
- "hispanic",
- "infant deaths",
- "infant mortality",
- "linked birth infant death data set",
- "mexican",
- "mortality rates",
- "national vital statistics system",
- "native hawaiian or other pacific islander",
- "neonatal deaths",
- "neonatal mortality",
- "non-hispanic",
- "nvss",
- "postneonatal deaths",
- "postneonatal mortality",
- "puerto rican",
- "race and hispanic origin of mother",
- "single race",
- "white"
- ],
- "last_harvested_date": "2026-09-30T22:03:40.175780",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 1,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "dev-dqs-infant-neonatal-and-postneonatal-mortality-rates-by-detailed-race-and-hispanic-ori",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States",
- "type": "dataset"
- },
- {
- "_score": 31.55642,
- "_sort": [
- 1790805724914,
- 31.55642,
- 6,
- "01e0f5de-9c83-4469-add2-bdafaa01f8ef"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:healthus@cdc.gov"
- },
- "description": "Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/9j2v-jamp/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/9j2v-jamp/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/9j2v-jamp/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/9j2v-jamp",
- "issued": "2021-05-14",
- "keyword": [
- "african americans",
- "age",
- "alaskan natives",
- "american natives",
- "asian continental ancestry group",
- "continental population groups",
- "death",
- "deaths",
- "european continental ancestry group",
- "health us",
- "hispanic americans",
- "injury",
- "mental health",
- "mortality",
- "sex",
- "suicide"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "temporal": "1950/2019",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "Death rates for suicide, by sex, race, Hispanic origin, and age: United States"
- },
- "description": "Data on death rates for suicide, by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. \n\nSOURCE: NCHS, National Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/cab4f2b8-1176-47f2-a951-dd9a39e120bf",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/cab4f2b8-1176-47f2-a951-dd9a39e120bf/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/9j2v-jamp",
- "keyword": [
- "african americans",
- "age",
- "alaskan natives",
- "american natives",
- "asian continental ancestry group",
- "continental population groups",
- "death",
- "deaths",
- "european continental ancestry group",
- "health us",
- "hispanic americans",
- "injury",
- "mental health",
- "mortality",
- "sex",
- "suicide"
- ],
- "last_harvested_date": "2026-09-30T22:02:04.914640",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 6,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "death-rates-for-suicide-by-sex-race-hispanic-origin-and-age-united-states",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "Death rates for suicide, by sex, race, Hispanic origin, and age: United States",
- "type": "dataset"
- },
- {
- "_score": 33.981186,
- "_sort": [
- 1790805643271,
- 33.981186,
- 0,
- "8daf4836-c7e0-4e97-b3d1-758e79b1f7a0"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:cdcinfo@cdc.gov"
- },
- "description": "Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/h3hw-hzvg/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/h3hw-hzvg/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/h3hw-hzvg/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/h3hw-hzvg",
- "issued": "2025-02-14",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "cancer",
- "death rates",
- "health us",
- "hispanic or latino",
- "men",
- "mortality",
- "native hawaiian or other pacific islander",
- "neoplasms",
- "white",
- "women"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "temporal": "2018/2024",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States"
- },
- "description": "Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/4f62503e-db4b-4873-8368-b6e404c4f51d",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/4f62503e-db4b-4873-8368-b6e404c4f51d/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/h3hw-hzvg",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "cancer",
- "death rates",
- "health us",
- "hispanic or latino",
- "men",
- "mortality",
- "native hawaiian or other pacific islander",
- "neoplasms",
- "white",
- "women"
- ],
- "last_harvested_date": "2026-09-30T22:00:43.271059",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "dev-dqs-death-rates-for-malignant-neoplasms-by-sex-race-hispanic-origin-and-age-united-sta",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States",
- "type": "dataset"
- },
- {
- "_score": 33.898144,
- "_sort": [
- 1790805470093,
- 33.898144,
- 5,
- "dba5e59e-ebd3-4f12-90e3-fa07f05423c0"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:healthus@cdc.gov"
- },
- "description": "Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/7aq9-prdf/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/7aq9-prdf/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/7aq9-prdf/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/7aq9-prdf",
- "issued": "2026-05-18",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "health us",
- "heart disease",
- "hispanic or latino",
- "men",
- "mortality",
- "native hawaiian or other pacific islander",
- "white",
- "women"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "spatial": "United States",
- "temporal": "2018/2024",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER"
- },
- "description": "Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/c9c27daa-cf3f-4ff1-8b85-b134d8006214",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/c9c27daa-cf3f-4ff1-8b85-b134d8006214/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://data.cdc.gov/api/views/7aq9-prdf",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "health us",
- "heart disease",
- "hispanic or latino",
- "men",
- "mortality",
- "native hawaiian or other pacific islander",
- "white",
- "women"
- ],
- "last_harvested_date": "2026-09-30T21:57:50.093933",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 5,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "dev-dqs-death-rates-for-heart-disease-by-sex-race-hispanic-origin-and-age-united-states-fr",
- "spatial_centroid": {
- "lat": 34.4819914,
- "lon": -101.6218762
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- [
- -124.733253,
- 24.544245
- ],
- [
- -124.733253,
- 49.388611
- ],
- [
- -66.954811,
- 49.388611
- ],
- [
- -66.954811,
- 24.544245
- ],
- [
- -124.733253,
- 24.544245
- ]
- ]
- ]
- ],
- "type": "MultiPolygon"
- },
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
- "type": "dataset"
- },
- {
- "_score": 37.765945,
- "_sort": [
- 1790804718173,
- 37.765945,
- 8,
- "577c2b79-3a83-4c14-bbf9-eaea796ccda7"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "R/P1Y",
- "bureauCode": [
- "009:20"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "National Center for Health Statistics",
- "hasEmail": "mailto:cdcinfo@cdc.gov"
- },
- "description": "Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/w26f-tf3h/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/w26f-tf3h/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://data.cdc.gov/api/v3/views/w26f-tf3h/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml"
- }
- ],
- "identifier": "https://data.cdc.gov/api/views/w26f-tf3h",
- "issued": "2025-03-06",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "health status and determinants",
- "health united states (hus)",
- "hispanic or latino",
- "men",
- "mental health",
- "national vital statistics system (nvss)",
- "native hawaiian or other pacific islander",
- "suicide",
- "white",
- "women"
- ],
- "landingPage": "https://www.cdc.gov/nchs/hus",
- "license": "https://www.usa.gov/government-works",
- "modified": "2026-09-29",
- "programCode": [
- "009:020"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Centers for Disease Control and Prevention"
- },
- "temporal": "2018/2024",
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER"
- },
- "description": "Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.\nSearch, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/baf6f306-26be-4254-bbd0-3ccca24dfeca",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/baf6f306-26be-4254-bbd0-3ccca24dfeca/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "https://data.cdc.gov/api/views/w26f-tf3h",
- "keyword": [
- "american indian or alaska native",
- "asian",
- "black or african american",
- "death rates",
- "health status and determinants",
- "health united states (hus)",
- "hispanic or latino",
- "men",
- "mental health",
- "national vital statistics system (nvss)",
- "native hawaiian or other pacific islander",
- "suicide",
- "white",
- "women"
- ],
- "last_harvested_date": "2026-09-30T21:45:18.173761",
- "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 Government",
- "slug": "hhs"
- },
- "parent_identifier": null,
- "popularity": 8,
- "publisher": "Centers for Disease Control and Prevention",
- "slug": "dev-dqs-death-rates-for-suicide-by-sex-race-hispanic-origin-and-age-united-states-from-cdc",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [
- "National Center for Health Statistics"
- ],
- "title": "DEV DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER",
- "type": "dataset"
- },
- {
- "_score": 15.36946,
- "_sort": [
- 1790804027776,
- 15.36946,
- 0,
- "ea27b48d-b974-4734-92c4-ee58b3ae2937"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "000:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "FSISDataDriven",
- "hasEmail": "mailto:FSISDataDriven@usda.gov"
- },
- "dataQuality": true,
- "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS). It includes establishments previously regulated by FSIS, as well as locations where FSIS provided other inspection services. This list is updated weekly, typically on Mondays.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS).",
- "downloadURL": "https://www.fsis.usda.gov/inspection/establishments/meat-poultry-and-egg-product-inspection-directory",
- "mediaType": "application/octet-stream",
- "title": "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory: Numerically by Establishment Number"
- }
- ],
- "identifier": "FSIS-2026-08-004",
- "issued": "2026-08-03",
- "keyword": [
- "Agriculture",
- "egg"
- ],
- "landingPage": "https://www.fsis.usda.gov/inspection/establishments/meat-poultry-and-egg-product-inspection-directory",
- "language": [
- "en-US"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-08-31",
- "programCode": [
- "000:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service",
- "subOrganizationOf": {
- "@type": "org:Organization",
- "name": "Department of Agriculture"
- }
- },
- "rights": "true",
- "title": "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory - Numerically by Establishment Number"
- },
- "description": "The Inactive Meat, Poultry, and Egg Inspection (MPI) Directory provides demographic information about establishments that were previously regulated by the Food Safety and Inspection Service (FSIS) but are no longer active based on their operating status as recorded in the Public Health Information System (PHIS). It includes establishments previously regulated by FSIS, as well as locations where FSIS provided other inspection services. This list is updated weekly, typically on Mondays.",
- "distribution_titles": [
- "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory: Numerically by Establishment Number"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/a5dcab9b-a170-43f9-b089-94502d0dac42",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/a5dcab9b-a170-43f9-b089-94502d0dac42/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "FSIS-2026-08-004",
- "keyword": [
- "Agriculture",
- "egg"
- ],
- "last_harvested_date": "2026-09-30T21:33:47.776981",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Food Safety and Inspection Service",
- "slug": "fsis-mpi-inactive-meat-poultry-and-egg-inspection-directory-numerically-by-establishment-n",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "FSIS MPI - Inactive Meat, Poultry, and Egg Inspection Directory - Numerically by Establishment Number",
- "type": "dataset"
- },
- {
- "_score": 16.158926,
- "_sort": [
- 1790804027512,
- 16.158926,
- 0,
- "b2fa174e-2819-447b-873e-462e73c8f04b"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "000:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "FSISDataDriven",
- "hasEmail": "mailto:FSISDataDriven@usda.gov"
- },
- "dataQuality": true,
- "description": "FSIS is making Establishments data available through an Application Programming Interface (API) to increase the transparency and availability of critical public health information. The MPI Application Programming Interface (API) are available in JSON format and provide attribute-based querying. This documentation provides a brief explanation of the API to get you started.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "This link directs you to the FSIS webpage for the MPI API.",
- "downloadURL": "https://www.fsis.usda.gov/science-data/developer-resources/mpi-api",
- "mediaType": "application/octet-stream",
- "title": "MPI API"
- }
- ],
- "identifier": "FSIS-2026-08-002",
- "issued": "2025-07-17",
- "keyword": [
- "USDA",
- "api",
- "establishment",
- "food",
- "inspection",
- "safety"
- ],
- "landingPage": "https://www.fsis.usda.gov/science-data/developer-resources/mpi-api",
- "language": [
- "en-US"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-08-31",
- "programCode": [
- "000:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service",
- "subOrganizationOf": {
- "@type": "org:Organization",
- "name": "Department of Agriculture"
- }
- },
- "rights": "true",
- "title": "MPI API"
- },
- "description": "FSIS is making Establishments data available through an Application Programming Interface (API) to increase the transparency and availability of critical public health information. The MPI Application Programming Interface (API) are available in JSON format and provide attribute-based querying. This documentation provides a brief explanation of the API to get you started.",
- "distribution_titles": [
- "MPI API"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/7da63a53-90c1-40b3-a3d6-436acb7f3a2f",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/7da63a53-90c1-40b3-a3d6-436acb7f3a2f/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "FSIS-2026-08-002",
- "keyword": [
- "USDA",
- "api",
- "establishment",
- "food",
- "inspection",
- "safety"
- ],
- "last_harvested_date": "2026-09-30T21:33:47.512884",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Food Safety and Inspection Service",
- "slug": "mpi-api",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "MPI API",
- "type": "dataset"
- },
- {
- "_score": 19.694052,
- "_sort": [
- 1790804027374,
- 19.694052,
- 0,
- "bc27f30a-6e75-4ce2-9376-790aa5aed900"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "000:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "FSISDataDriven",
- "hasEmail": "mailto:FSISDataDriven@usda.gov"
- },
- "dataQuality": true,
- "description": "FSIS is making data available through an Application Programming Interface (API) to increase the transparency and availability of critical public health information. The recall and public health alert data in the Recall API are available in JSON format and provide attribute-based querying. This documentation provides a brief explanation of the API to get you started.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "description": "This link directs you to the FSIS webpage for the Recall API.",
- "downloadURL": "https://www.fsis.usda.gov/science-data/developer-resources/recall-api",
- "mediaType": "application/octet-stream",
- "title": "Recall API"
- }
- ],
- "identifier": "FSIS-2026-08-001",
- "issued": "2022-04-29",
- "keyword": [
- "API",
- "Recall",
- "USDA",
- "food",
- "safety"
- ],
- "landingPage": "https://inventory.data.gov/dataset/recall-api",
- "language": [
- "en-US"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-08-31",
- "programCode": [
- "000:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service",
- "subOrganizationOf": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service"
- }
- },
- "rights": "true",
- "title": "Recall API"
- },
- "description": "FSIS is making data available through an Application Programming Interface (API) to increase the transparency and availability of critical public health information. The recall and public health alert data in the Recall API are available in JSON format and provide attribute-based querying. This documentation provides a brief explanation of the API to get you started.",
- "distribution_titles": [
- "Recall API"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/9c4868da-faf3-423e-b009-c7101580750d",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/9c4868da-faf3-423e-b009-c7101580750d/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "FSIS-2026-08-001",
- "keyword": [
- "API",
- "Recall",
- "USDA",
- "food",
- "safety"
- ],
- "last_harvested_date": "2026-09-30T21:33:47.374542",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Food Safety and Inspection Service",
- "slug": "recall-api",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "Recall API",
- "type": "dataset"
- },
- {
- "_score": 15.33522,
- "_sort": [
- 1790804027232,
- 15.33522,
- 10,
- "db77f5ec-e891-46b3-8a12-0bd815aa826c"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "000:00"
- ],
- "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "FSISDataDriven",
- "hasEmail": "mailto:FSISDataDriven@usda.gov"
- },
- "dataQuality": true,
- "description": "The Food Safety and Inspection Service’s (FSIS) Quarterly Enforcement Report provides a summary of the enforcement actions FSIS has taken to ensure that meat, poultry, and egg products reaching consumers are safe, wholesome, and properly labeled. Although this report focuses on enforcement actions taken, it is important to recognize that this is only one aspect of the Agency's mission to protect public health through food safety and food defense by achieving compliance with laws and regulations.",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://www.fsis.usda.gov/inspection/regulatory-enforcement/quarterly-enforcement-reports",
- "description": "Quarterly Enforcement Reports summarize the enforcement actions FSIS has taken to ensure that products that reach consumers are safe, wholesome, and properly labeled.",
- "title": "Quarterly Enforcement Reports"
- }
- ],
- "identifier": "fsis-qer-data",
- "keyword": [
- "USDA",
- "enforcement",
- "fsis",
- "report"
- ],
- "landingPage": "https://www.fsis.usda.gov/inspection/regulatory-enforcement/quarterly-enforcement-reports",
- "language": [
- "en-US"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-08-31",
- "programCode": [
- "000:000"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service",
- "subOrganizationOf": {
- "@type": "org:Organization",
- "name": "Food Safety and Inspection Service"
- }
- },
- "rights": "true",
- "title": "FSIS - Quarterly Enforcement Reports"
- },
- "description": "The Food Safety and Inspection Service’s (FSIS) Quarterly Enforcement Report provides a summary of the enforcement actions FSIS has taken to ensure that meat, poultry, and egg products reaching consumers are safe, wholesome, and properly labeled. Although this report focuses on enforcement actions taken, it is important to recognize that this is only one aspect of the Agency's mission to protect public health through food safety and food defense by achieving compliance with laws and regulations.",
- "distribution_titles": [
- "Quarterly Enforcement Reports"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/6285aa9d-1aa4-436c-b414-6b2eb6b1b986",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/6285aa9d-1aa4-436c-b414-6b2eb6b1b986/raw",
- "has_download": false,
- "has_spatial": false,
- "identifier": "fsis-qer-data",
- "keyword": [
- "USDA",
- "enforcement",
- "fsis",
- "report"
- ],
- "last_harvested_date": "2026-09-30T21:33:47.232030",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 10,
- "publisher": "Food Safety and Inspection Service",
- "slug": "fsis-quarterly-enforcement-reports",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "FSIS - Quarterly Enforcement Reports",
- "type": "dataset"
- },
- {
- "_score": 2.3387222,
- "_sort": [
- 1790803950747,
- 2.3387222,
- 2,
- "3c29b8a0-90c6-4200-a9b4-328d305fdc30"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "accrualPeriodicity": "irregular",
- "bureauCode": [
- "005:18"
- ],
- "contactPoint": {
- "fn": "Morrison, William R.",
- "hasEmail": "mailto:william.morrison@usda.gov"
- },
- "description": "<p dir=\"ltr\">[NOTE: 2026-07-31: Data files added, see README file for descriptions]</p><p dir=\"ltr\"><br></p><p dir=\"ltr\"><i>Trapping in 2023 with a linear set of dosages of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping was done according to the methodology in Ruiz et al. 2022. The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each <i>Silphium integrifolium </i>field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90° angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.</p><p dir=\"ltr\">The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 µl of acetone), a low concentration (50 µl of a solution made by mixing 5.75 µl of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone) of (<i>E</i>)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first <i>E. giganteana </i>adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\">When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc<sup>©</sup> bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of <i>E. giganteana</i> per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual <i>E. giganteana </i>and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.</p><p dir=\"ltr\"><i>Trapping in 2024 with an exponential set of concentrations of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (<a href=\"\" target=\"_blank\">Table 1). </a><a href=\"#_msocom_1\" target=\"_blank\">[HS1]</a> Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 × 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>Ⓡ</sup> all-weather adhesive (Trécé Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (<i>E</i>)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 µl of acetone), a low concentration equivalent to the 2023 treatment (50 µl of a solution made of 5.75 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 µl of a solution made of 78.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 µl of a solution made of 580.4 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\"><i>Eucosma giganteana and Silphium integrifolium collections from the field</i></p><p dir=\"ltr\"><i>Eucosma giganteana</i> cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult <i>E. giganteana </i>individuals were carefully captured by hand in one of the fields planted to <i>Silphium integrifolium</i> at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 ± 0.1℃ and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. <i>Silphium integrifolium</i> flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4°C until needed for experiments. Flower heads were never more than 4 days old prior to use.</p><p><br></p><p dir=\"ltr\"><i>Headspace Characterization</i></p><p dir=\"ltr\">Headspace was collected from the following treatments: 10 <i>E. giganteana</i> male moths only, 10 <i>E. giganteana</i> female moths only, an even mix of male and female moths (5:5), flower cuttings of <i>S. integrifolium</i>, and a blank control. For the <i>E. giganteana</i> treatments, only alive, healthy adult moths that were collected within five days were used. For the <i>S. integrifolium </i>collections, approximately 25 grams of flower heads cut the same week as collections were used.</p><p dir=\"ltr\">For each treatment, <i>E. giganteana</i> or <i>S. integrifolium</i> were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q™ chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon™ compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 µl of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 µl glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N<sub>2</sub> gas. At the end of collecting all the samples, 1 µl of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 ℃ until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.</p><p><br></p><p dir=\"ltr\"><i>Gas Chromatography Coupled with Mass Spectrometry</i></p><p dir=\"ltr\">All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 μm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 μl of each sample under splitless into the GC–MS at room temperature (approximately 23 °C). The flow rate was 18 ml/min. The GC program consisted of 40 °C for 1 min followed by 10 °C/min increases to 300 °C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pk<sub>sam</sub> – Pk<sub>min</sub>)/(Pk<sub>max</sub> – Pk<sub>min</sub>), where Pk<sub>sam</sub> is the peak area from the sample, Pk<sub>min </sub>is the global minimum peak area, and Pk<sub>max</sub> is the global max peak area.</p><p><br></p><p dir=\"ltr\"><i>Electroantennography of E. giganteana</i></p><p dir=\"ltr\">All<i> </i>electroantennogram (EAG) recordings of <i>E. giganteana</i> were taken from 19:00 to 23:00 which corresponded to the peak activity period of <i>E. giganteana</i> based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. Only field-captured moths within ...",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/51279737",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "scribner_headspace_volatiles_eucosma_2024.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/51279740",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "Eucosma_EAD .csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/51279743",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "Combined flight mill data1.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/51279749",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "Trapping_combined2024.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814319",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_myrcene_NIST_mass_spectra.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814322",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_myrcene_silphium_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814325",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_myrcene_std_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814328",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_phellandrene_NIST_mass_spectra.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814331",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_phellandrene_sample_silphium.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814334",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_phellandrene_std_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814337",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_pinene_NIST_extracted_mass_spectrum.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814340",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_pinene_sample_silphium.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814343",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "beta_pinene_std_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814346",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "camphene_in_silphium_sample_mass_spectrum.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814349",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "camphene_NIST_mass_spectra.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814352",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "camphene_standard_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814355",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "D_limonene_NIST_mass_spectra.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814358",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "D_limonene_silphium_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814361",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "D_limonene_std_sample.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814364",
- "format": "R",
- "mediaType": "text/plain",
- "title": "Hazel Amalgamated Script.R"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/66814367",
- "format": "docx",
- "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
- "title": "README Scribner et al.docx"
- }
- ],
- "identifier": "10.15482/USDA.ADC/28055111.v2",
- "keyword": [
- "ars",
- "attract-and-kill",
- "behavior",
- "behavioral ecology",
- "behaviorally-based management",
- "cgahr",
- "cup plant",
- "eag",
- "eucosma giganteana",
- "flight mill",
- "giant eucosma moth",
- "insect behavior",
- "insect flight",
- "integrated pest management",
- "kansas",
- "lepidoptera",
- "manhattan, ks",
- "mating disruption",
- "monitoring",
- "pest",
- "physiology",
- "prairie",
- "semiochemicals",
- "silphium",
- "silphium integrifolium",
- "the land institute",
- "tortricidae",
- "trapping",
- "usda"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-07-31",
- "programCode": [
- "005:040"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Agricultural Research Service"
- },
- "temporal": "2023-05-01/2024-10-01",
- "title": "Data from: Behavioral and physiological response of <i>Eucosma giganteana </i>to semiochemicals from conspecifics and <i>Silphium integrifolium</i>"
- },
- "description": "<p dir=\"ltr\">[NOTE: 2026-07-31: Data files added, see README file for descriptions]</p><p dir=\"ltr\"><br></p><p dir=\"ltr\"><i>Trapping in 2023 with a linear set of dosages of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping was done according to the methodology in Ruiz et al. 2022. The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each <i>Silphium integrifolium </i>field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90° angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.</p><p dir=\"ltr\">The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 µl of acetone), a low concentration (50 µl of a solution made by mixing 5.75 µl of (<i>E</i>)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone) of (<i>E</i>)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first <i>E. giganteana </i>adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\">When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc<sup>©</sup> bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of <i>E. giganteana</i> per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual <i>E. giganteana </i>and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.</p><p dir=\"ltr\"><i>Trapping in 2024 with an exponential set of concentrations of </i>(E)<i>-8-dodecenyl acetate</i></p><p dir=\"ltr\">Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (<a href=\"\" target=\"_blank\">Table 1). </a><a href=\"#_msocom_1\" target=\"_blank\">[HS1]</a> Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 × 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD<sup>Ⓡ</sup> all-weather adhesive (Trécé Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (<i>E</i>)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 µl of acetone), a low concentration equivalent to the 2023 treatment (50 µl of a solution made of 5.75 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 µl of a solution made of 78.5 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 µl of a solution made of 580.4 µl of (<i>E</i>)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.</p><p dir=\"ltr\"><i>Eucosma giganteana and Silphium integrifolium collections from the field</i></p><p dir=\"ltr\"><i>Eucosma giganteana</i> cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult <i>E. giganteana </i>individuals were carefully captured by hand in one of the fields planted to <i>Silphium integrifolium</i> at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 ± 0.1℃ and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. <i>Silphium integrifolium</i> flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4°C until needed for experiments. Flower heads were never more than 4 days old prior to use.</p><p><br></p><p dir=\"ltr\"><i>Headspace Characterization</i></p><p dir=\"ltr\">Headspace was collected from the following treatments: 10 <i>E. giganteana</i> male moths only, 10 <i>E. giganteana</i> female moths only, an even mix of male and female moths (5:5), flower cuttings of <i>S. integrifolium</i>, and a blank control. For the <i>E. giganteana</i> treatments, only alive, healthy adult moths that were collected within five days were used. For the <i>S. integrifolium </i>collections, approximately 25 grams of flower heads cut the same week as collections were used.</p><p dir=\"ltr\">For each treatment, <i>E. giganteana</i> or <i>S. integrifolium</i> were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q™ chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon™ compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 µl of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 µl glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N<sub>2</sub> gas. At the end of collecting all the samples, 1 µl of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 ℃ until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.</p><p><br></p><p dir=\"ltr\"><i>Gas Chromatography Coupled with Mass Spectrometry</i></p><p dir=\"ltr\">All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 μm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 μl of each sample under splitless into the GC–MS at room temperature (approximately 23 °C). The flow rate was 18 ml/min. The GC program consisted of 40 °C for 1 min followed by 10 °C/min increases to 300 °C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pk<sub>sam</sub> – Pk<sub>min</sub>)/(Pk<sub>max</sub> – Pk<sub>min</sub>), where Pk<sub>sam</sub> is the peak area from the sample, Pk<sub>min </sub>is the global minimum peak area, and Pk<sub>max</sub> is the global max peak area.</p><p><br></p><p dir=\"ltr\"><i>Electroantennography of E. giganteana</i></p><p dir=\"ltr\">All<i> </i>electroantennogram (EAG) recordings of <i>E. giganteana</i> were taken from 19:00 to 23:00 which corresponded to the peak activity period of <i>E. giganteana</i> based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. Only field-captured moths within ...",
- "distribution_titles": [
- "scribner_headspace_volatiles_eucosma_2024.csv",
- "Eucosma_EAD .csv",
- "Combined flight mill data1.csv",
- "Trapping_combined2024.csv",
- "beta_myrcene_NIST_mass_spectra.csv",
- "beta_myrcene_silphium_sample.csv",
- "beta_myrcene_std_sample.csv",
- "beta_phellandrene_NIST_mass_spectra.csv",
- "beta_phellandrene_sample_silphium.csv",
- "beta_phellandrene_std_sample.csv",
- "beta_pinene_NIST_extracted_mass_spectrum.csv",
- "beta_pinene_sample_silphium.csv",
- "beta_pinene_std_sample.csv",
- "camphene_in_silphium_sample_mass_spectrum.csv",
- "camphene_NIST_mass_spectra.csv",
- "camphene_standard_sample.csv",
- "D_limonene_NIST_mass_spectra.csv",
- "D_limonene_silphium_sample.csv",
- "D_limonene_std_sample.csv",
- "Hazel Amalgamated Script.R",
- "README Scribner et al.docx"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "10.15482/USDA.ADC/28055111.v2",
- "keyword": [
- "ars",
- "attract-and-kill",
- "behavior",
- "behavioral ecology",
- "behaviorally-based management",
- "cgahr",
- "cup plant",
- "eag",
- "eucosma giganteana",
- "flight mill",
- "giant eucosma moth",
- "insect behavior",
- "insect flight",
- "integrated pest management",
- "kansas",
- "lepidoptera",
- "manhattan, ks",
- "mating disruption",
- "monitoring",
- "pest",
- "physiology",
- "prairie",
- "semiochemicals",
- "silphium",
- "silphium integrifolium",
- "the land institute",
- "tortricidae",
- "trapping",
- "usda"
- ],
- "last_harvested_date": "2026-09-30T21:32:30.747498",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 2,
- "publisher": "Agricultural Research Service",
- "slug": "data-from-behavioral-and-physiological-response-of-ieucosma-giganteana-ito-semiochemicals-",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "Data from: Behavioral and physiological response of <i>Eucosma giganteana </i>to semiochemicals from conspecifics and <i>Silphium integrifolium</i>",
- "type": "dataset"
- },
- {
- "_score": 22.291004,
- "_sort": [
- 1790803943637,
- 22.291004,
- 2,
- "b3cf9167-f268-4272-bdbd-923521cfe697"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "005:18"
- ],
- "contactPoint": {
- "fn": "Schneider, Sharon, K.",
- "hasEmail": "mailto:sharon.schneider@usda.gov"
- },
- "description": "<p dir=\"ltr\">These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.</p>",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "accessURL": "https://geodata.nal.usda.gov/geonetwork/srv/api/records/9eaacb50-e855-46e1-bde4-4a7438ddfb83/formatters/xml",
- "conformsTo": "https://www.isotc211.org/2005/gmd",
- "format": "xml",
- "mediaType": "text/xml",
- "title": "Geodata ISO 19139 metadata"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44533802",
- "format": "docx",
- "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
- "title": "Soil-Landscape Rehabilitation Study Metadata.docx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44533943",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "User & Publication Information.xlsx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44533982",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "Stevens County MN Pre-restoration Soil Data.xlsx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44534030",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "Stevens County MN Plant & Soil Data.xlsx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44534159",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "Stevens County MN Weather Information.xlsx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44534222",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "Roberts County SD Plant & Soil Data.xlsx"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/44534387",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "Roberts County SD Weather Information.xlsx"
- }
- ],
- "identifier": "10.15482/USDA.ADC/25206968.v1",
- "keyword": [
- "Corn",
- "Crop production",
- "Crop productivity",
- "Landscape restoration",
- "Plant nutrients",
- "Productivity",
- "Soil carbon",
- "Soil erosion",
- "Soil fertility",
- "Soil health",
- "Soil profile",
- "Soil restoration",
- "Soybean",
- "Spatial variation",
- "Tillage erosion",
- "Water erosion"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-08-24",
- "programCode": [
- "005:040"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Agricultural Research Service"
- },
- "temporal": "2005-10-02/2011-11-30",
- "theme": [
- "geospatial"
- ],
- "title": "<b>Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)</b>"
- },
- "description": "<p dir=\"ltr\">These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.</p>",
- "distribution_titles": [
- "Geodata ISO 19139 metadata",
- "Soil-Landscape Rehabilitation Study Metadata.docx",
- "User & Publication Information.xlsx",
- "Stevens County MN Pre-restoration Soil Data.xlsx",
- "Stevens County MN Plant & Soil Data.xlsx",
- "Stevens County MN Weather Information.xlsx",
- "Roberts County SD Plant & Soil Data.xlsx",
- "Roberts County SD Weather Information.xlsx"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/ca833614-c4b1-4fc8-aafe-e7b69de5045e",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/ca833614-c4b1-4fc8-aafe-e7b69de5045e/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "10.15482/USDA.ADC/25206968.v1",
- "keyword": [
- "Corn",
- "Crop production",
- "Crop productivity",
- "Landscape restoration",
- "Plant nutrients",
- "Productivity",
- "Soil carbon",
- "Soil erosion",
- "Soil fertility",
- "Soil health",
- "Soil profile",
- "Soil restoration",
- "Soybean",
- "Spatial variation",
- "Tillage erosion",
- "Water erosion"
- ],
- "last_harvested_date": "2026-09-30T21:32:23.637606",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 2,
- "publisher": "Agricultural Research Service",
- "slug": "bsoil-crop-and-weed-communities-as-affected-by-soil-erosion-and-topsoil-replacement-in-a-m",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [
- "geospatial"
- ],
- "title": "<b>Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)</b>",
- "type": "dataset"
- },
- {
- "_score": 34.169548,
- "_sort": [
- 1790803885945,
- 34.169548,
- 0,
- "7218ae61-a5a8-4159-8a9d-5b73de5f174a"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "005:18",
- "005:20"
- ],
- "contactPoint": {
- "fn": "Rippner, Devin",
- "hasEmail": "mailto:devin.rippner@usda.gov"
- },
- "description": "<p dir=\"ltr\">This data represents baseline (pre-plant (April 2023) and post-plant (October 2023)) physical, chemical, and biological soil health indicator values across the recently established Washington Soil Health Initiative Vineyard at the Washington State University Irrigated Agriculture Research and Extension Center in Prosser, Washington. Soils were sampled pre- and post-planting across five management treatments and four depth intervals (0 – 15 cm, 15 – 30 cm, 30 – 60 cm, and 60 – 90 cm) of a vineyard with two wine grape cultivars (Chardonnay and Cabernet Sauvignon) on a common rootstock (1103 Paulson). Post-plant samples were also collected in the under-vine and alleyway areas to capture initial spatial variability associated with floor management zones. Samples were analyzed for a suite of chemical, biological, and physical soil health indicators. Chemical soil health indicators included total carbon (TC), total inorganic carbon (TIC), available phosphorous (P), soil pH, cation exchange capacity (CEC), and electrical conductivity (EC). Physical soil health indicators included bulk density (BD). Biological soil health indicators included total organic carbon (TOC), 24-hour mineralizable carbon (MinC), permanganate oxidizable compounds (POXC), potentially mineralizable nitrogen (PMN), autoclaved citrate-extractable (ACE) protein, and phospholipid fatty acid (PLFA) concentration and count. Most soil health indicator values were surface-weighted, with organic carbon and microbial activity concentrated in the top 30 cm, while inorganic carbon was the dominant carbon pool at depth.</p>",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/65565423",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "ElCaGi_ALL_PLFA_clean_2026_upload.csv"
- },
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/65571276",
- "format": "csv",
- "mediaType": "text/csv",
- "title": "PSR_Soil_SoilHealthData_Clean_2026_upload6152026.csv"
- }
- ],
- "identifier": "10.15482/USDA.ADC/32662065.v1",
- "keyword": [
- "Soil Health",
- "Soil characterisation",
- "Viticulture"
- ],
- "license": "https://creativecommons.org/licenses/by/4.0/",
- "modified": "2026-08-31",
- "programCode": [
- "005:040"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Agricultural Research Service"
- },
- "spatial": "{\"type\": \"Point\", \"coordinates\": [-119.7284203651829, 46.25428009389708]}",
- "temporal": "2023-04-11/2023-10-31",
- "title": "WaSHI Vineyard LTARE Characterization Data 2023"
- },
- "description": "<p dir=\"ltr\">This data represents baseline (pre-plant (April 2023) and post-plant (October 2023)) physical, chemical, and biological soil health indicator values across the recently established Washington Soil Health Initiative Vineyard at the Washington State University Irrigated Agriculture Research and Extension Center in Prosser, Washington. Soils were sampled pre- and post-planting across five management treatments and four depth intervals (0 – 15 cm, 15 – 30 cm, 30 – 60 cm, and 60 – 90 cm) of a vineyard with two wine grape cultivars (Chardonnay and Cabernet Sauvignon) on a common rootstock (1103 Paulson). Post-plant samples were also collected in the under-vine and alleyway areas to capture initial spatial variability associated with floor management zones. Samples were analyzed for a suite of chemical, biological, and physical soil health indicators. Chemical soil health indicators included total carbon (TC), total inorganic carbon (TIC), available phosphorous (P), soil pH, cation exchange capacity (CEC), and electrical conductivity (EC). Physical soil health indicators included bulk density (BD). Biological soil health indicators included total organic carbon (TOC), 24-hour mineralizable carbon (MinC), permanganate oxidizable compounds (POXC), potentially mineralizable nitrogen (PMN), autoclaved citrate-extractable (ACE) protein, and phospholipid fatty acid (PLFA) concentration and count. Most soil health indicator values were surface-weighted, with organic carbon and microbial activity concentrated in the top 30 cm, while inorganic carbon was the dominant carbon pool at depth.</p>",
- "distribution_titles": [
- "ElCaGi_ALL_PLFA_clean_2026_upload.csv",
- "PSR_Soil_SoilHealthData_Clean_2026_upload6152026.csv"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/1494ca43-953f-4fb2-bfe7-bc58c875d79b",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/1494ca43-953f-4fb2-bfe7-bc58c875d79b/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "10.15482/USDA.ADC/32662065.v1",
- "keyword": [
- "Soil Health",
- "Soil characterisation",
- "Viticulture"
- ],
- "last_harvested_date": "2026-09-30T21:31:25.945731",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Agricultural Research Service",
- "slug": "washi-vineyard-ltare-characterization-data-2023",
- "spatial_centroid": {
- "lat": 46.25428009389708,
- "lon": -119.7284203651829
- },
- "spatial_shape": {
- "coordinates": [
- -119.7284203651829,
- 46.25428009389708
- ],
- "type": "Point"
- },
- "theme": [],
- "title": "WaSHI Vineyard LTARE Characterization Data 2023",
- "type": "dataset"
- },
- {
- "_score": 9.175219,
- "_sort": [
- 1790803836474,
- 9.175219,
- 0,
- "485ecbc8-430e-4b2d-8755-79bef7450adb"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "005:18"
- ],
- "contactPoint": {
- "fn": "Anderson, Christopher, L.",
- "hasEmail": "mailto:christopher.anderson2@usda.gov"
- },
- "description": "<p dir=\"ltr\">Live-attenuated vaccines are an effective pre-harvest intervention to reduce <i>Salmonella</i> colonization in food animals, but vaccine strains can persist through production and be detected on food products. Accurate identification of vaccine strains is important to ensure poultry processing facilities are not penalized by regulatory agencies for using live-attenuated vaccines. Here, in a proof-of-concept study, we evaluated whole-cell matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry as a rapid, cost-effective alternative to whole genome sequencing for distinguishing native <i>Salmonella</i> <i>enterica</i> serovar Typhimurium strains from AviPro Megan Vac 1, a live-attenuated vaccine strain of <i>Salmonella</i> Typhimurium commonly used in poultry production. Despite their close phylogenetic relationship, MALDI-TOF spectral profiles of Megan Vac 1 isolates were distinct from those of native <i>Salmonella</i> Typhimurium strains. Temporal drift was identified as the main source of spectral variation in Megan Vac 1 isolates, exceeding the effects of sample preparation method. Random forest classifiers trained on a subset of peaks demonstrated a maximum balanced accuracy of 97.4% on a test set of spectra collected at later time points. A rule-based decision tree based on intensities from a single peak at 6046 m/z retained high predictive performance, achieving 97.0% balanced accuracy, 97.8% sensitivity, and 96.2% specificity. These findings indicate that MADLI-TOF mass spectrometry is a promising alternative to whole genome sequencing for identifying vaccine strains. This approach enhances the efficacy of regulatory performance assessments and supports the continued use of effective pre-harvest vaccination strategies, ultimately benefiting food safety and public health.</p>",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/67410990",
- "format": "zip",
- "mediaType": "application/zip",
- "title": "salmonella_typhimurium_spectra.zip"
- }
- ],
- "identifier": "10.15482/USDA.ADC/32589033.v1",
- "keyword": [
- "MALDI-TOF MS analyses",
- "Salmonella Typhimurium"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-04",
- "programCode": [
- "005:040"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Agricultural Research Service"
- },
- "temporal": "2025-11-20/2026-02-10",
- "title": "Data from: Distinguishing a live-attenuated Salmonella Typhimurium vaccine strain from native Salmonella Typhimurium strains using whole-cell MALDI-TOF mass spectrometry"
- },
- "description": "<p dir=\"ltr\">Live-attenuated vaccines are an effective pre-harvest intervention to reduce <i>Salmonella</i> colonization in food animals, but vaccine strains can persist through production and be detected on food products. Accurate identification of vaccine strains is important to ensure poultry processing facilities are not penalized by regulatory agencies for using live-attenuated vaccines. Here, in a proof-of-concept study, we evaluated whole-cell matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry as a rapid, cost-effective alternative to whole genome sequencing for distinguishing native <i>Salmonella</i> <i>enterica</i> serovar Typhimurium strains from AviPro Megan Vac 1, a live-attenuated vaccine strain of <i>Salmonella</i> Typhimurium commonly used in poultry production. Despite their close phylogenetic relationship, MALDI-TOF spectral profiles of Megan Vac 1 isolates were distinct from those of native <i>Salmonella</i> Typhimurium strains. Temporal drift was identified as the main source of spectral variation in Megan Vac 1 isolates, exceeding the effects of sample preparation method. Random forest classifiers trained on a subset of peaks demonstrated a maximum balanced accuracy of 97.4% on a test set of spectra collected at later time points. A rule-based decision tree based on intensities from a single peak at 6046 m/z retained high predictive performance, achieving 97.0% balanced accuracy, 97.8% sensitivity, and 96.2% specificity. These findings indicate that MADLI-TOF mass spectrometry is a promising alternative to whole genome sequencing for identifying vaccine strains. This approach enhances the efficacy of regulatory performance assessments and supports the continued use of effective pre-harvest vaccination strategies, ultimately benefiting food safety and public health.</p>",
- "distribution_titles": [
- "salmonella_typhimurium_spectra.zip"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/ef7f1612-309d-4723-b6ef-b79dc8d9f601",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/ef7f1612-309d-4723-b6ef-b79dc8d9f601/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "10.15482/USDA.ADC/32589033.v1",
- "keyword": [
- "MALDI-TOF MS analyses",
- "Salmonella Typhimurium"
- ],
- "last_harvested_date": "2026-09-30T21:30:36.474635",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Agricultural Research Service",
- "slug": "data-from-distinguishing-a-live-attenuated-salmonella-typhimurium-vaccine-strain-from-nati",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "Data from: Distinguishing a live-attenuated Salmonella Typhimurium vaccine strain from native Salmonella Typhimurium strains using whole-cell MALDI-TOF mass spectrometry",
- "type": "dataset"
- },
- {
- "_score": 14.673416,
- "_sort": [
- 1790803819146,
- 14.673416,
- 0,
- "00dff4f0-7410-4747-91d0-9fa920684edb"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "dcat:Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "005:18"
- ],
- "contactPoint": {
- "fn": "Baker, Amy L.",
- "hasEmail": "mailto:Amy.L.Baker@usda.gov"
- },
- "description": "<p dir=\"ltr\">Highly pathogenic avian influenza (HPAI) H5N1 is causing several outbreaks and is widespread in the U.S. lactating cow farms. Also, H5N1 can pose a public health concern. Vaccines can aid in controlling the spread of the H5N1 in lactating cows. So, we evaluated antibody and cellular immune responses of an H5 mRNA-LNP vaccine in calves. Our H5 mRNA-LNP vaccine induced robust antibody and T cellular immune responses and protected against H5N1 clade 2.3.4.4b. </p>",
- "distribution": [
- {
- "@type": "dcat:Distribution",
- "downloadURL": "https://ndownloader.figshare.com/files/68470351",
- "format": "xlsx",
- "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
- "title": "H5 mRNA vaccine in calves_Ag Data Commons.xlsx"
- }
- ],
- "identifier": "10.15482/USDA.ADC/33636805.v1",
- "keyword": [
- "avian influenza A(H5) virus",
- "dairy cattle",
- "h5n1-hpai",
- "vaccine"
- ],
- "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-18",
- "programCode": [
- "005:040"
- ],
- "publisher": {
- "@type": "org:Organization",
- "name": "Agricultural Research Service"
- },
- "temporal": "2024-05-30/2024-07-31",
- "title": "Data from: H5 influenza virus mRNA-lipid nanoparticle (LNP) vaccination elicits adaptive immune responses in Holstein calves"
- },
- "description": "<p dir=\"ltr\">Highly pathogenic avian influenza (HPAI) H5N1 is causing several outbreaks and is widespread in the U.S. lactating cow farms. Also, H5N1 can pose a public health concern. Vaccines can aid in controlling the spread of the H5N1 in lactating cows. So, we evaluated antibody and cellular immune responses of an H5 mRNA-LNP vaccine in calves. Our H5 mRNA-LNP vaccine induced robust antibody and T cellular immune responses and protected against H5N1 clade 2.3.4.4b. </p>",
- "distribution_titles": [
- "H5 mRNA vaccine in calves_Ag Data Commons.xlsx"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/5c009884-62d4-4ee9-9261-7e0f71fdae07",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/5c009884-62d4-4ee9-9261-7e0f71fdae07/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "10.15482/USDA.ADC/33636805.v1",
- "keyword": [
- "avian influenza A(H5) virus",
- "dairy cattle",
- "h5n1-hpai",
- "vaccine"
- ],
- "last_harvested_date": "2026-09-30T21:30:19.146121",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "352b4532-793d-4075-a03f-05b778a3c43a",
- "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png",
- "name": "Department of Agriculture",
- "organization_type": "Federal Government",
- "slug": "usda"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "Agricultural Research Service",
- "slug": "data-from-h5-influenza-virus-mrna-lipid-nanoparticle-lnp-vaccination-elicits-adaptive-immu",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "Data from: H5 influenza virus mRNA-lipid nanoparticle (LNP) vaccination elicits adaptive immune responses in Holstein calves",
- "type": "dataset"
- },
- {
- "_score": 11.116873,
- "_sort": [
- 1790802095242,
- 11.116873,
- 0,
- "c633ca6f-ae34-4ea1-85d1-94d4c224c824"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "029:15"
- ],
- "contactPoint": [
- {
- "@type": "Kind",
- "fn": "National Center for PTSD",
- "hasEmail": "mailto:ncptsd@va.gov"
- }
- ],
- "description": "The Study Interventions dataset includes information about each of the specific treatment arms that were studied in all RCTs. Each study arm was coded to indicate the type of intervention or comparison condition. This dataset includes the study-level Study Class as well as individual variables for each category of treatment, coded as Yes or No for each arm. Study arm treatment category variables are as follows: Pharmacotherapy (as well as a subclass such as antidepressant, antianxiety, etc.); Psychotherapy (as well as a subclass to identify trauma-focused or non-trauma-focused therapy); Complementary and Integrative Health (CIH; as well as a subclass such as relaxation or meditation); Nonpharmacologic Biological; Nonpharmacologic Cognitive; Collaborative Care; Other Treatments; Control. \n\nThe Study Intervention dataset also includes information on the format of the treatment (individual, group, couples, mixed); treatment delivery method (in person, by phone, by video, technology alone, technology assisted, written or mixed); dose or amount of treatment and, treatment completion and adherence. Use this dataset to learn about treatment studies of a particular type.\n\nEach record is an arm of the study, labeled as A, B, C, or D. Values abstracted as not applicable (\"NA\") or not reported (\"NR\") from the study are null values (empty cells).",
- "distribution": [
- {
- "@type": "Distribution",
- "accessURL": "https://www.data.va.gov/d/jckr-i5ky",
- "describedBy": "{\"@type\": \"Standard\", \"accessURL\": \"https://www.data.va.gov/api/views/jckr-i5ky/columns.json\", \"title\": \"Columns for this asset\"}",
- "downloadURL": "https://www.data.va.gov/api/v3/views/jckr-i5ky/query.json?accessType=DOWNLOAD",
- "mediaType": "application/json",
- "modified": "2026-09-30"
- },
- {
- "@type": "Distribution",
- "accessURL": "https://www.data.va.gov/d/jckr-i5ky",
- "describedBy": "{\"@type\": \"Standard\", \"accessURL\": \"https://www.data.va.gov/api/views/jckr-i5ky/columns.xml\", \"title\": \"Columns for this asset\"}",
- "downloadURL": "https://www.data.va.gov/api/v3/views/jckr-i5ky/query.xml?accessType=DOWNLOAD",
- "mediaType": "application/xml",
- "modified": "2026-09-30"
- },
- {
- "@type": "Distribution",
- "accessURL": "https://www.data.va.gov/d/jckr-i5ky",
- "downloadURL": "https://www.data.va.gov/api/v3/views/jckr-i5ky/export.csv?accessType=DOWNLOAD",
- "mediaType": "text/csv",
- "modified": "2026-09-30"
- }
- ],
- "identifier": "https://www.data.va.gov/api/views/jckr-i5ky",
- "keyword": [
- "ptsd-repository"
- ],
- "landingPage": {
- "@type": "Document",
- "accessURL": "https://www.data.va.gov/d/jckr-i5ky",
- "description": "Study Interventions - Dataset Home",
- "issued": "2026-04-24",
- "publisher": "[{\"@id\": \"https://www.data.va.gov/user/286m-7t6w\", \"@type\": \"Organization\", \"name\": \"National Center for PTSD\"}]",
- "title": "Study Interventions - Dataset Home"
- },
- "modified": "2026-09-30",
- "programCode": [
- "029:000"
- ],
- "publisher": {
- "@id": "https://www.data.va.gov/user/286m-7t6w",
- "@type": "Organization",
- "name": "National Center for PTSD"
- },
- "title": "Study Interventions"
- },
- "description": "The Study Interventions dataset includes information about each of the specific treatment arms that were studied in all RCTs. Each study arm was coded to indicate the type of intervention or comparison condition. This dataset includes the study-level Study Class as well as individual variables for each category of treatment, coded as Yes or No for each arm. Study arm treatment category variables are as follows: Pharmacotherapy (as well as a subclass such as antidepressant, antianxiety, etc.); Psychotherapy (as well as a subclass to identify trauma-focused or non-trauma-focused therapy); Complementary and Integrative Health (CIH; as well as a subclass such as relaxation or meditation); Nonpharmacologic Biological; Nonpharmacologic Cognitive; Collaborative Care; Other Treatments; Control. \n\nThe Study Intervention dataset also includes information on the format of the treatment (individual, group, couples, mixed); treatment delivery method (in person, by phone, by video, technology alone, technology assisted, written or mixed); dose or amount of treatment and, treatment completion and adherence. Use this dataset to learn about treatment studies of a particular type.\n\nEach record is an arm of the study, labeled as A, B, C, or D. Values abstracted as not applicable (\"NA\") or not reported (\"NR\") from the study are null values (empty cells).",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/a9b16bc9-28be-4c07-9fe2-5dc3caa9890e",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/a9b16bc9-28be-4c07-9fe2-5dc3caa9890e/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "https://www.data.va.gov/api/views/jckr-i5ky",
- "keyword": [
- "ptsd-repository"
- ],
- "last_harvested_date": "2026-09-30T21:01:35.242820",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "1a128ac1-72ce-4027-b46d-a73862031b04",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/va.png",
- "name": "Department of Veterans Affairs",
- "organization_type": "Federal Government",
- "slug": "va"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "National Center for PTSD",
- "slug": "study-interventions-30d98",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "Study Interventions",
- "type": "dataset"
- },
- {
- "_score": 13.142709,
- "_sort": [
- 1790802078856,
- 13.142709,
- 0,
- "474814b9-cafb-4b5b-8d44-bc1765153c36"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "029:15"
- ],
- "contactPoint": [
- {
- "@type": "Kind",
- "fn": "National Center for PTSD",
- "hasEmail": "mailto:ncptsd@va.gov"
- }
- ],
- "description": "The PTSD-Repository is a comprehensive database of PTSD trials. The PTSD-Repository allows clinical, research, education, and policy stakeholders to understand current research on treatment effectiveness and harms, and enable informed decisions about future research, mental health policy, and clinical care priorities. This report updates the studies and variables included in the PTSD-Repository to include recently published trials, interventions targeting comorbid PTSD/SUD (substance use disorder), variables related to comorbidities such as suicide and SUDs, and risk of bias (ROB) assessment.\n\nThe Comparative Effectiveness Review (Update Report) and Evidence Tables (Appendix E, F-1, & G-1) are included in the downloadable .zip file. For more information, visit AHRQ's page, and open the \"Previous Versions\" tab: https://effectivehealthcare.ahrq.gov/products/ptsd-pharm-non-pharm-treatment/research",
- "distribution": [
- {
- "@type": "Distribution",
- "accessURL": "https://www.data.va.gov/d/fe7d-awnt",
- "downloadURL": "https://www.data.va.gov/download/fe7d-awnt/application/x-zip-compressed",
- "mediaType": "application/x-zip-compressed",
- "modified": "2026-09-30"
- }
- ],
- "identifier": "https://www.data.va.gov/api/views/fe7d-awnt",
- "keyword": [
- "ahrq report",
- "appendix e",
- "appendix f-1",
- "appendix g-1"
- ],
- "landingPage": {
- "@type": "Document",
- "accessURL": "https://www.data.va.gov/d/fe7d-awnt",
- "description": "AHRQ Report and Data Files (2020): Pharmacologic and Nonpharmacologic Treatments for Posttraumatic Stress Disorder (Update) - Dataset Home",
- "issued": "2020-11-24",
- "publisher": "[{\"@id\": \"https://www.data.va.gov/user/286m-7t6w\", \"@type\": \"Organization\", \"name\": \"National Center for PTSD\"}]",
- "title": "AHRQ Report and Data Files (2020): Pharmacologic and Nonpharmacologic Treatments for Posttraumatic Stress Disorder (Update) - Dataset Home"
- },
- "modified": "2026-09-30",
- "programCode": [
- "029:000"
- ],
- "publisher": {
- "@id": "https://www.data.va.gov/user/286m-7t6w",
- "@type": "Organization",
- "name": "National Center for PTSD"
- },
- "title": "AHRQ Report and Data Files (2020): Pharmacologic and Nonpharmacologic Treatments for Posttraumatic Stress Disorder (Update)"
- },
- "description": "The PTSD-Repository is a comprehensive database of PTSD trials. The PTSD-Repository allows clinical, research, education, and policy stakeholders to understand current research on treatment effectiveness and harms, and enable informed decisions about future research, mental health policy, and clinical care priorities. This report updates the studies and variables included in the PTSD-Repository to include recently published trials, interventions targeting comorbid PTSD/SUD (substance use disorder), variables related to comorbidities such as suicide and SUDs, and risk of bias (ROB) assessment.\n\nThe Comparative Effectiveness Review (Update Report) and Evidence Tables (Appendix E, F-1, & G-1) are included in the downloadable .zip file. For more information, visit AHRQ's page, and open the \"Previous Versions\" tab: https://effectivehealthcare.ahrq.gov/products/ptsd-pharm-non-pharm-treatment/research",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/9059d971-9e38-4698-9a6c-4421fd10478d",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/9059d971-9e38-4698-9a6c-4421fd10478d/raw",
- "has_download": true,
- "has_spatial": false,
- "identifier": "https://www.data.va.gov/api/views/fe7d-awnt",
- "keyword": [
- "ahrq report",
- "appendix e",
- "appendix f-1",
- "appendix g-1"
- ],
- "last_harvested_date": "2026-09-30T21:01:18.856714",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "1a128ac1-72ce-4027-b46d-a73862031b04",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/va.png",
- "name": "Department of Veterans Affairs",
- "organization_type": "Federal Government",
- "slug": "va"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "National Center for PTSD",
- "slug": "ahrq-report-and-data-files-2020-pharmacologic-and-nonpharmacologic-treatments-for-posttrau-92389",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [],
- "title": "AHRQ Report and Data Files (2020): Pharmacologic and Nonpharmacologic Treatments for Posttraumatic Stress Disorder (Update)",
- "type": "dataset"
- },
- {
- "_score": 46.291237,
- "_sort": [
- 1790802071395,
- 46.291237,
- 0,
- "8db3cf88-700d-44b4-bc08-3da060b81225"
- ],
- "access_level": "public",
- "dcat": {
- "@type": "Dataset",
- "accessLevel": "public",
- "bureauCode": [
- "029:15"
- ],
- "contactPoint": [
- {
- "@type": "Kind",
- "fn": "National Center for PTSD",
- "hasEmail": "mailto:ncptsd@va.gov"
- }
- ],
- "description": "Download this free, step-by-step guide for conducting meta-analyses focused on mental health research. Dr. Pim Cuijpers reviews each element of performing meta-analyses, including: defining research questions, searching bibliographical databases, selecting studies and retrieving data, determining risk of bias, calculating and pooling effect sizes, examining heterogeneity and potential publication bias, and writing and publishing meta-analyses.",
- "distribution": [
- {
- "@type": "Distribution",
- "accessURL": "https://www.data.va.gov/d/dtae-hx8d",
- "downloadURL": "https://www.data.va.gov/download/dtae-hx8d/application/x-zip-compressed",
- "mediaType": "application/x-zip-compressed",
- "modified": "2026-09-30"
- }
- ],
- "identifier": "https://www.data.va.gov/api/views/dtae-hx8d",
- "keyword": [
- "meta-analysis",
- "research methodology"
- ],
- "landingPage": {
- "@type": "Document",
- "accessURL": "https://www.ptsd.va.gov/repository",
- "description": "Meta-analyses in mental health research: A practical guide. Cuijpers (2016) - Dataset Home",
- "issued": "2024-03-20",
- "publisher": "[{\"@id\": \"https://www.data.va.gov/user/8448-u5fx\", \"@type\": \"Organization\", \"name\": \"National Center for PTSD\"}]",
- "title": "Meta-analyses in mental health research: A practical guide. Cuijpers (2016) - Dataset Home"
- },
- "license": "http://creativecommons.org/publicdomain/zero/1.0/legalcode",
- "modified": "2026-09-30",
- "programCode": [
- "029:000"
- ],
- "publisher": {
- "@id": "https://www.data.va.gov/user/8448-u5fx",
- "@type": "Organization",
- "name": "National Center for PTSD"
- },
- "spatial": "{\"@type\": \"Location\", \"bbox\": \"International\"}",
- "theme": [
- {
- "prefLabel": "PTSD Randomized Controlled Trials"
- }
- ],
- "title": "Meta-analyses in mental health research: A practical guide. Cuijpers (2016)"
- },
- "description": "Download this free, step-by-step guide for conducting meta-analyses focused on mental health research. Dr. Pim Cuijpers reviews each element of performing meta-analyses, including: defining research questions, searching bibliographical databases, selecting studies and retrieving data, determining risk of bias, calculating and pooling effect sizes, examining heterogeneity and potential publication bias, and writing and publishing meta-analyses.",
- "distribution_titles": [],
- "harvest_record": "https://catalog.data.gov/harvest_record/ae63564b-39b1-4756-a231-9aea4ba6f748",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/ae63564b-39b1-4756-a231-9aea4ba6f748/raw",
- "has_download": true,
- "has_spatial": true,
- "identifier": "https://www.data.va.gov/api/views/dtae-hx8d",
- "keyword": [
- "meta-analysis",
- "research methodology"
- ],
- "last_harvested_date": "2026-09-30T21:01:11.395540",
- "organization": {
- "aliases": [
- "dept"
- ],
- "code_repo_exempt": false,
- "code_repo_url": null,
- "description": null,
- "id": "1a128ac1-72ce-4027-b46d-a73862031b04",
- "logo": "https://raw.githubusercontent.com/GSA/logo/master/va.png",
- "name": "Department of Veterans Affairs",
- "organization_type": "Federal Government",
- "slug": "va"
- },
- "parent_identifier": null,
- "popularity": 0,
- "publisher": "National Center for PTSD",
- "slug": "meta-analyses-in-mental-health-research-a-practical-guide-cuijpers-2016",
- "spatial_centroid": null,
- "spatial_shape": null,
- "theme": [
- "PTSD Randomized Controlled Trials"
- ],
- "title": "Meta-analyses in mental health research: A practical guide. Cuijpers (2016)",
- "type": "dataset"
- },
- {
- "_score": 15.749076,
- "_sort": [
- 1790801672056,
- 15.749076,
- 8,
  "377f56f8-58ef-4f8b-bb46-f78317e7fdf7"
  ],
  "access_level": "public",
@@ -4339,7 +542,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:24:04.000+00:00",
+ "modified": "2026-10-01T09:26:09.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Environmental Protection Agency, Headquarters"
@@ -4355,9 +558,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/703a0963-897f-4055-8feb-a58a56712564",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/703a0963-897f-4055-8feb-a58a56712564/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/703a0963-897f-4055-8feb-a58a56712564/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/8d24b7ee-f837-4800-8e8b-ddfab6db86b0",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/8d24b7ee-f837-4800-8e8b-ddfab6db86b0/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/8d24b7ee-f837-4800-8e8b-ddfab6db86b0/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_STATE_ID_metadata.xml",
@@ -4379,7 +582,7 @@
  "ESF10",
  "ESF3"
  ],
- "last_harvested_date": "2026-09-30T20:54:32.056407",
+ "last_harvested_date": "2026-10-02T20:58:44.027316",
  "organization": {
  "aliases": [
  "EPA"
@@ -4394,7 +597,7 @@
  "slug": "epa"
  },
  "parent_identifier": null,
- "popularity": 8,
+ "popularity": 2,
  "publisher": "U.S. Environmental Protection Agency, Headquarters",
  "slug": "epa-facility-registry-service-frs-er_state_id",
  "spatial_centroid": {
@@ -4435,11 +638,11 @@
  "type": "dataset"
  },
  {
- "_score": 15.749076,
+ "_score": 15.745532,
  "_sort": [
- 1790801671284,
- 15.749076,
- 7,
+ 1790974722691,
+ 15.745532,
+ 2,
  "fa1e4301-1b10-442c-b35c-e11f0fd1f39f"
  ],
  "access_level": "public",
@@ -4493,7 +696,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:24:00.000+00:00",
+ "modified": "2026-10-01T09:26:05.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Environmental Protection Agency, Headquarters"
@@ -4509,9 +712,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/92433976-5c46-43ba-b1ca-6dfcf5cfb26e",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/92433976-5c46-43ba-b1ca-6dfcf5cfb26e/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/92433976-5c46-43ba-b1ca-6dfcf5cfb26e/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/91c971fc-e05a-433a-907c-a703afb18943",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/91c971fc-e05a-433a-907c-a703afb18943/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/91c971fc-e05a-433a-907c-a703afb18943/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_SIC_metadata.xml",
@@ -4533,7 +736,7 @@
  "ESF10",
  "ESF3"
  ],
- "last_harvested_date": "2026-09-30T20:54:31.284988",
+ "last_harvested_date": "2026-10-02T20:58:42.691040",
  "organization": {
  "aliases": [
  "EPA"
@@ -4548,7 +751,7 @@
  "slug": "epa"
  },
  "parent_identifier": null,
- "popularity": 7,
+ "popularity": 2,
  "publisher": "U.S. Environmental Protection Agency, Headquarters",
  "slug": "epa-facility-registry-service-frs-er_sic",
  "spatial_centroid": {
@@ -4589,11 +792,11 @@
  "type": "dataset"
  },
  {
- "_score": 15.749076,
+ "_score": 15.745532,
  "_sort": [
- 1790801669024,
- 15.749076,
- 9,
+ 1790974718833,
+ 15.745532,
+ 2,
  "0a8915db-1790-4008-b019-072b2610e29a"
  ],
  "access_level": "public",
@@ -4647,7 +850,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:23:56.000+00:00",
+ "modified": "2026-10-01T09:26:01.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Environmental Protection Agency, Headquarters"
@@ -4663,9 +866,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/6eadf074-c5ff-40d3-b254-77fb0f9f36b9",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/6eadf074-c5ff-40d3-b254-77fb0f9f36b9/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/6eadf074-c5ff-40d3-b254-77fb0f9f36b9/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/e5d370f0-dbdd-4b7a-b688-9ed81171d7d1",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e5d370f0-dbdd-4b7a-b688-9ed81171d7d1/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/e5d370f0-dbdd-4b7a-b688-9ed81171d7d1/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_NAICS_metadata.xml",
@@ -4687,7 +890,7 @@
  "ESF10",
  "ESF3"
  ],
- "last_harvested_date": "2026-09-30T20:54:29.024341",
+ "last_harvested_date": "2026-10-02T20:58:38.833169",
  "organization": {
  "aliases": [
  "EPA"
@@ -4702,7 +905,7 @@
  "slug": "epa"
  },
  "parent_identifier": null,
- "popularity": 9,
+ "popularity": 2,
  "publisher": "U.S. Environmental Protection Agency, Headquarters",
  "slug": "epa-facility-registry-service-frs-er_naics",
  "spatial_centroid": {
@@ -4743,10 +946,10 @@
  "type": "dataset"
  },
  {
- "_score": 15.749076,
+ "_score": 15.745532,
  "_sort": [
- 1790801667485,
- 15.749076,
+ 1790974716193,
+ 15.745532,
  1,
  "58bdea70-d0f2-43e7-995c-6e8986ba9a9c"
  ],
@@ -4801,7 +1004,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:23:52.000+00:00",
+ "modified": "2026-10-01T09:25:57.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Environmental Protection Agency, Headquarters"
@@ -4817,9 +1020,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/f9d73e87-1b4d-4f88-92ca-e7b0712ed0e1",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/f9d73e87-1b4d-4f88-92ca-e7b0712ed0e1/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/f9d73e87-1b4d-4f88-92ca-e7b0712ed0e1/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/08d77566-6f03-4f0e-af47-ccde17b51bad",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/08d77566-6f03-4f0e-af47-ccde17b51bad/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/08d77566-6f03-4f0e-af47-ccde17b51bad/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CONTACTS_metadata.xml",
@@ -4841,7 +1044,7 @@
  "ESF10",
  "ESF3"
  ],
- "last_harvested_date": "2026-09-30T20:54:27.485781",
+ "last_harvested_date": "2026-10-02T20:58:36.193675",
  "organization": {
  "aliases": [
  "EPA"
@@ -4897,10 +1100,10 @@
  "type": "dataset"
  },
  {
- "_score": 15.741029,
+ "_score": 15.738491,
  "_sort": [
- 1790801666691,
- 15.741029,
+ 1790974714815,
+ 15.738491,
  4,
  "c1ff7bf1-4e8a-4d7e-bdf7-1bf3f0cfaf6a"
  ],
@@ -4955,7 +1158,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:24:07.000+00:00",
+ "modified": "2026-10-01T09:26:13.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. Environmental Protection Agency, Headquarters"
@@ -4971,9 +1174,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/5a913f0c-94d1-4d15-b78b-f40868824720",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/5a913f0c-94d1-4d15-b78b-f40868824720/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/5a913f0c-94d1-4d15-b78b-f40868824720/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/6af44baa-f723-4865-981b-e9c57813212b",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/6af44baa-f723-4865-981b-e9c57813212b/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/6af44baa-f723-4865-981b-e9c57813212b/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CHEMICALS_metadata.xml",
@@ -4995,7 +1198,7 @@
  "ESF10",
  "ESF3"
  ],
- "last_harvested_date": "2026-09-30T20:54:26.691262",
+ "last_harvested_date": "2026-10-02T20:58:34.815085",
  "organization": {
  "aliases": [
  "EPA"
@@ -5051,11 +1254,11 @@
  "type": "dataset"
  },
  {
- "_score": 13.479954,
+ "_score": 13.477321,
  "_sort": [
- 1790801665743,
- 13.479954,
- 3,
+ 1790974713472,
+ 13.477321,
+ 8,
  "e88e8188-68ac-4d78-a133-487bd3f20b90"
  ],
  "access_level": "public",
@@ -5164,7 +1367,7 @@
  ],
  "language": [],
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
- "modified": "2026-09-29T09:24:11.000+00:00",
+ "modified": "2026-10-01T09:26:16.000+00:00",
  "publisher": {
  "@type": "org:Organization",
  "name": "U.S. EPA Office of Environmental Information (OEI)"
@@ -5180,9 +1383,9 @@
  "Zipped File Geodatabase (Accessible on the EPA Intranet only)",
  "ArcGIS Server Map Services (Accessible on the EPA Intranet only)"
  ],
- "harvest_record": "https://catalog.data.gov/harvest_record/f80a686d-79ca-4921-8faa-30ca148ed7ae",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/f80a686d-79ca-4921-8faa-30ca148ed7ae/raw",
- "harvest_record_transformed": "https://catalog.data.gov/harvest_record/f80a686d-79ca-4921-8faa-30ca148ed7ae/transformed",
+ "harvest_record": "https://catalog.data.gov/harvest_record/e0a4b2e4-0d22-4db9-8eef-78e544c76a42",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/e0a4b2e4-0d22-4db9-8eef-78e544c76a42/raw",
+ "harvest_record_transformed": "https://catalog.data.gov/harvest_record/e0a4b2e4-0d22-4db9-8eef-78e544c76a42/transformed",
  "has_download": true,
  "has_spatial": true,
  "identifier": "https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CERCLIS_metadata.xml",
@@ -5258,7 +1461,7 @@
  "Compliance",
  "Waste"
  ],
- "last_harvested_date": "2026-09-30T20:54:25.743906",
+ "last_harvested_date": "2026-10-02T20:58:33.472128",
  "organization": {
  "aliases": [
  "EPA"
@@ -5273,7 +1476,7 @@
  "slug": "epa"
  },
  "parent_identifier": null,
- "popularity": 3,
+ "popularity": 8,
  "publisher": "U.S. EPA Office of Environmental Information (OEI)",
  "slug": "epa-facility-registry-service-frs-er_cerclis",
  "spatial_centroid": null,
@@ -5285,254 +1488,4841 @@
  "type": "dataset"
  },
  {
- "_score": 4.695196,
+ "_score": 12.340831,
  "_sort": [
- 1790796118468,
- 4.695196,
- 32,
- "bff8753a-f2a5-433b-a589-2e1fc9acadf4"
+ 1790970862308,
+ 12.340831,
+ 0,
+ "3f6a0f75-1754-49eb-880a-7abb17a02a55"
  ],
  "access_level": "public",
  "dcat": {
  "@type": "dcat:Dataset",
  "accessLevel": "public",
+ "accrualPeriodicity": "irregular",
+ "bureauCode": [
+ "006:55"
+ ],
  "contactPoint": {
- "@type": "vcard:Contact",
- "fn": "WakeCountyGovernment",
- "hasEmail": "mailto:gisapps@wake.gov"
- },
- "description": "The Wake County health department inspects food service facilities\nthroughout Wake County. The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span>  </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>  </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>  </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span> \n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt &quot;Times New Roman&quot;;'>     </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span>  </span>Facilities that are closed are removed from\nall three files in this dataset.<span>  </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt &quot;Times New Roman&quot;;'>     </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;;'>     </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span>  </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>  </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:&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> </p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>  </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &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;'> </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>",
+ "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": [
  {
- "@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"
+ "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": "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": "2026-09-30T04:30:18.000Z",
+ "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": {
- "name": "Wake County"
- },
- "spatial": "-78.9451,35.5378,-78.2691,36.0477",
- "theme": [
- "geospatial"
- ],
- "title": "Food Inspections"
- },
- "description": "The Wake County health department inspects food service facilities\nthroughout Wake County. The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\n<p>This dataset captures the restaurants that are\ninspected.<span>  </span>The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.<span>  </span></p>\n\n<p>You can find out additional information about our restaurant\ninspections on our website:<span>  </span><a href='https://www.wake.gov/departments-government/environmental-health-safety' rel='nofollow ugc'>Food Safety and Sanitation</a></p>\n\n<p>This table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.</p><p>\n\n</p><p>This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.<span> \n</span>Those three tables are:</p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>1.<span style='font:7.0pt &quot;Times New Roman&quot;;'>     </span></span></span><b><span style='color:black;'>Restaurants:\n</span></b><span style='color:black;'>This table captures all active facilities\nwhere Wake County performs sanitations inspections.<span>  </span>Facilities that are closed are removed from\nall three files in this dataset.<span>  </span>Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.</span></p>\n\n<p style='margin-bottom:0in; margin-bottom:.0001pt; text-indent:-.25in;'><span style='color:black;'><span>2.<span style='font:7.0pt &quot;Times New Roman&quot;;'>     </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;;'>     </span></span></span><b><span style='color:black;'><span style='color:rgb(76, 76, 76);'>Food Inspection </span>Violations:\n</span></b><span style='color:black;'>This table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.<span>  </span>It\nreports the results in code violations and according to CDC Risk Factors.<span>  </span></span>You can find additional information\nabout the CDC Risk Factors on the FDA website: <a href='https://www.fda.gov/food/retail-food-protection/retail-food-risk-factor-study' rel='nofollow ugc'><span style='font-size:10.0pt; font-family:&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> </p>\n\n<p>The tables can be connected through the <span style='color:black;'>HSISID\nfield.<span>  </span></span></p>\n\n\n\n<p style='text-indent:-.25in;'><span style='font-family:Symbol;'><span><span style='font:7.0pt &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;'> </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>",
+ "@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. 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_titles": [
- "CSV",
- "GeoJSON",
- "KML",
- "Shapefile",
- "ArcGIS Hub Dataset",
- "ArcGIS GeoService"
- ],
- "harvest_record": "https://catalog.data.gov/harvest_record/86a4d076-3d24-4394-bc1e-fea5bbef931c",
- "harvest_record_raw": "https://catalog.data.gov/harvest_record/86a4d076-3d24-4394-bc1e-fea5bbef931c/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": "2026-09-30T19:21:58.468820",
+ "readme",
+ "TQ-MS Drug Identification NIST Data Publication",
+ "TQ-MS_DrugAnalysis NIST Data Publication",
+ "readme"
+ ],
+ "harvest_record": "https://catalog.data.gov/harvest_record/d4cde757-433c-49cd-a1a9-ce01ec152dba",
+ "harvest_record_raw": "https://catalog.data.gov/harvest_record/d4cde757-433c-49cd-a1a9-ce01ec152dba/raw",
+ "has_download": true,
+ "has_spatial": false,
+ "identifier": "ark:/88434/mds2-4066",
+ "keyword": [
+ "Mass spectrometry; triple quadrupole; time-of-flight; fieldable; transportable; drugs; narcotics; forensics; public health;"
+ ],
+ "last_harvested_date": "2026-10-02T19:54:22.308584",
  "organization": {
  "aliases": [
- "north carolina"
+ "dept",
+ "doc"
  ],
  "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"
+ "id": "16980d1c-5e8f-4188-b962-42446f2d3f63",
+ "logo": "https://raw.githubusercontent.com/GSA/logo/refs/heads/master/commerce.png",
+ "name": "Department of Commerce",
+ "organization_type": "Federal Government",
+ "slug": "commerce"
  },
  "parent_identifier": null,
- "popularity": 32,
- "publisher": "Wake County",
- "slug": "food-inspections-f168d",
- "spatial_centroid": {
- "lat": 35.74176,
- "lon": -78.6747
- },
- "spatial_shape": {
- "coordinates": [
- [
- [
- -78.9451,
- 35.5378
- ],
- [
- -78.9451,
- 36.0477
- ],
- [
- -78.2691,
- 36.0477
- ],
- [
- -78.2691,
- 35.5378
- ],
- [
- -78.9451,
- 35.5378
- ]
- ]
- ],
- "type": "Polygon"
- },
- "theme": [
- "geospatial"
- ],
- "title": "Food Inspections",
+ "popularity": 0,
+ "publisher": "National Institute of Standards and Technology",
+ "slug": "chromatography-free-triple-quadrupole-and-time-of-flight-mass-spectrometry-data-for-system-45bf3",
+ "spatial_centroid": null,
+ "spatial_shape": null,
+ "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",
  "type": "dataset"
  },
  {
- "_score": 7.1273556,
+ "_score": 15.46486,
  "_sort": [
- 1790796116703,
- 7.1273556,
- 26,
- "41c3b6dd-8660-44ed-9ca4-75ee2854c77f"
+ 1790970857318,
+ 15.46486,
+ 0,
+ "9d92dc4e-88ad-442e-96b9-cd7c6ff09b45"
  ],
  "access_level": "public",
  "dcat": {
  "@type": "dcat:Dataset",
  "accessLevel": "public",
+ "accrualPeriodicity": "R/P1Y",
+ "bureauCode": [
+ "006:55"
+ ],
  "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>",
+ "fn": "Jennifer Ness",
+ "hasEmail": "mailto:jennifer.ness@nist.gov"
+ },
+ "description": "The inventory covers specimens collected from the Alaska Marine Mammal Tissue Archival Program (AMMTAP) and the Marine Mammal Health and Stranding Response Program (MMHSRP) by contributors between 1987 and the most recent update. The following fields are included: Species, Common name, Collection Year, State, City/Island/Community, Date of Death, Field ID, Other ID, NIST Storage ID, Collection Type, Sex, Age Class, and Sample Type. These data are collected in a standardized OMB controlled form and are transferred, along with the samples, for accessioning in the National Marine Mammal Tissue Bank.",
  "distribution": [
  {
- "@type": "dcat:Distribution",
- "accessURL": "https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/csv?layers=2",
- "format": "CSV",
+ "description": "A README with data use information and definitions of fields and terminology used in the spreadsheet.",
+ "downloadURL": "https://data.nist.gov/od/ds/mds2-3986/3986_README.txt",
+ "format": "text file",
+ "mediaType": "text/plain",
+ "title": "README for the National Marine Mammal Tissue Bank Specimen Inventory"
+ },
+ {
+ "description": "The inventory covers specimens collected from the Alaska Marine Mammal Tissue Archival Program (AMMTAP) and the Marine Mammal Health and Stranding Response Program (MMHSRP) by contributors between 1987 and the most recent update. The following fields are included: Species, Common name, Collection Year, State, City/Island/Community, Date of Death, Field ID, Other ID, NIST Storage ID, Collection Type, Sex, Age Class, and Tissues Collected. These data are collected in a standardized OMB controlled form and are transferred, along with the samples, for accessioning in the National Marine Mammal Tissue Bank.",
+ "downloadURL": "https://data.nist.gov/od/ds/mds2-3986/2025NMMTBInventoryFinal.csv",
+ "format": "comma delimited .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",
+ "title": "National Marine Mammal Tissue Bank Specimen Inventory"
+ }
+ ],
+ "identifier": "ark:/88434/mds2-3986",
+ "issued": "2025-11-17",
+ "keyword": [
+ "Tissue bank",
+ "archive",
+ "biobank",
+ "biology",
+ "biorepository",
+ "biospecimen science",
+ "cleanroom",
+ "contaminants",
+ "environment",
+ "exposure",
+ "inventory",
+ "marine mammal"
+ ],
+ "landingPage": "https://data.nist.gov/od/id/mds2-3986",
+ "language": [
+ "en"
+ ],
+ "license": "https://www.nist.gov/open/license",
+ "modified": "2025-09-04 00:00:00",
+ "programCode": [
+ "006:045"
+ ],
+ "publisher": {
+ "@type": "org:Organization",
+ "name": "National Institute of Standards and Technology"
+ },
+ "theme": [
+ "Bioscience",
+ "Bioscience:Biomaterials",
+ "Chemistry:Analytical chemistry",
+ "Environment",
+ "Environment:Environmental health",
+ "Environment:Marine science"
+ ],
+ "title": "The National Marine Mammal Tissue Bank Specimen Inventory"
+ },
+ "description": "The inventory covers specimens collected from