datadiscovery.nlm.nih.gov
datadiscovery.nlm.nih.gov
Socrata open data portal at datadiscovery.nlm.nih.gov, publishing 147 public datasets from the publishing organisation, led by the Terminology category.
GET /v1/data/datadiscovery-nlm-nih-gov/catalog-search1Request
Full-text query over dataset names and descriptions.
Zero-based offset into the results; step by 20 to page.
curl "https://api.fastcrw.com/v1/data/datadiscovery-nlm-nih-gov/catalog-search?offset=0" \ -H "Authorization: Bearer $FASTCRW_API_KEY"
2Response example
A sample shape. Press Run to see live data from datadiscovery.nlm.nih.gov.
{
"results": [
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"name": "MEDLINE/PubMed Baseline Statistics: Min/Max Report",
"id": "xtvu-8j6w",
"resource_name": null,
"parent_fxf": [],
"description": "*A file containing all Min/Max Baseline Reports for 2005-2023 in their original format is available in the <b>Attachments</b> section below. A second file includes a separate set of reports, made available from 2002-2017, that did not include OLDMEDLINE records.* \n\nMEDLINE/PubMed annual statistical reports are based upon the data elements in the baseline versions of MEDLINE®/PubMed are available. For each year covered the reports include: total citations containing each element; total occurrences of each element; minimum/average/maximum occurrences of each element in a record; minimum/average/maximum length of a single element occurrence; average record size; and other statistical data describing the content and size of the elements.",
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"type": "dataset",
"updatedAt": "2025-06-18T21:08:40.000Z",
"createdAt": "2023-03-21T17:13:13.000Z",
"metadata_updated_at": "2025-06-18T21:08:40.000Z",
"data_updated_at": "2023-03-22T13:11:33.000Z",
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"domain_category": "Information Management",
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"pubmed",
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"value": "custserv@nlm.nih.gov"
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"value": "009:041"
},
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"key": "Common-Core_NLM-Organization",
"value": "Lister Hill National Center for Biomedical Communications (LHNCBC)"
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"key": "Common-Core_Bureau-Code",
"value": "009:25"
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"key": "Common-Core_Contact-Name",
"value": "National Library of Medicine"
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"permalink": "https://datadiscovery.nlm.nih.gov/d/xtvu-8j6w",
"link": "https://datadiscovery.nlm.nih.gov/Information-Management/MEDLINE-PubMed-Baseline-Statistics-Min-Max-Report/xtvu-8j6w",
"owner": {
"id": "8vej-juw8",
"user_type": "interactive",
"display_name": "National Library of Medicine"
},
"creator": {
"id": "8vej-juw8",
"user_type": "interactive",
"display_name": "National Library of Medicine"
}
},
{
"resource": {
"name": "Annual MeSH Processing (AMP)",
"id": "4ekx-rduw",
"resource_name": null,
"parent_fxf": [],
"description": "An overview of Annual MeSH Processing (AMP) for MeSH/MEDLINE, including downloadable datasets detailing changes to MeSH",
"attribution": null,
"attribution_link": null,
"contact_email": "custserv@nlm.nih.gov",
"type": "story",
"updatedAt": "2026-09-17T17:39:05.666Z",
"createdAt": "2022-09-21T12:42:54.000Z",
"metadata_updated_at": "2026-09-17T17:39:05.000Z",
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"backend": "not_a_dataset",
"blob_mime_type": null,
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"publication_date": "2022-09-21T14:10:07.000Z"
},
"classification": {
"categories": [],
"tags": [],
"domain_category": "Terminology",
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"terminology",
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"key": "Common-Core_NLM-Organization",
"value": "User Services and Collection Division (USCD)"
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"metadata": {
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"permalink": "https://datadiscovery.nlm.nih.gov/stories/s/4ekx-rduw",
"link": "https://datadiscovery.nlm.nih.gov/stories/s/4ekx-rduw",
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"display_name": "National Library of Medicine"
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"id": "8vej-juw8",
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},
{
"resource": {
"name": "Visible Human Project",
"id": "ux2j-9i9a",
"resource_name": null,
"parent_fxf": [],
"description": "The NLM Visible Human Project® has created publicly-available complete, anatomically detailed, three-dimensional representations of a human male body and a human female body. Specifically, the VHP provides a public-domain library of cross-sectional cryosection, CT, and MRI images obtained from one male cadaver and one female cadaver. The Visible Man data set was publicly released in 1994 and the Visible Woman in 1995.\n\nhttps://www.nlm.nih.gov/research/visible/visible_human.html",
"attribution": "National Library of Medicine, National Institutes of Health",
"attribution_link": null,
"contact_email": "custserv@nlm.nih.gov",
"type": "href",
"updatedAt": "2025-06-18T21:07:57.000Z",
"createdAt": "2020-08-10T19:31:28.000Z",
"metadata_updated_at": "2025-06-18T21:07:57.000Z",
"data_updated_at": "2020-08-10T19:31:28.000Z",
"page_views": {
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"page_views_last_month": 3380,
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"download_count": 0,
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"lens_view_type": "href",
"lens_display_type": "href",
"locked": false,
"backend": "not_a_dataset",
"blob_mime_type": null,
"hide_from_data_json": false,
"publication_date": "2020-08-10T19:48:24.000Z"
},
"classification": {
"categories": [],
"tags": [],
"domain_category": "Diagnostic Imaging",
"domain_tags": [
"whole body imaging",
"anatomy",
"human body",
"diagnostic imaging"
],
"domain_metadata": [
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"key": "Common-Core_Contact-Email",
"value": "custserv@nlm.nih.gov"
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"value": "009:041"
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{
"key": "Common-Core_Additional-Filters",
"value": "[ \"NLM Products and Services\" ]"
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"key": "Common-Core_NLM-Organization",
"value": "Lister Hill National Center for Biomedical Communications (LHNCBC)"
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"value": "[ \"NLM Products and Services\" ]"
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"value": "https://www.nlm.nih.gov/research/visible/visible_human.html"
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"html": "https://data.lhncbc.nlm.nih.gov/public/Visible-Human/Sample-Data/index.html"
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"description": "The Visible Human Project Sample Data contains the following sample images:\nCT scans after freezing, CT scans prior to freezing, Five slices from the Visible Female, Six slices from the Visible Male, MRI-MaleHead, MRI-MaleThorax, MRI-MaleAbdomen, MRI-MalePelvis, MRI-MaleThigh, MRI-MaleFeet.",
"title": "Download - Visible Human Project - Sample Data"
},
{
"urls": {
"html": "https://data.lhncbc.nlm.nih.gov/public/Visible-Human/Male-Images/index.html"
},
"description": "The Visible Human Male data set consists of MRI, CT, and anatomical images. Axial MRI images of the head and neck, and longitudinal sections of the rest of the body were obtained at 4mm intervals. The MRI images are 256 by 256 pixel resolution with each pixel made up of 12 bits of gray tone. The CT data consist of axial CT scans of the entire body taken at 1mm intervals at a pixel resolution of 512 by 512 with each pixel made up of 12 bits of gray tone. The approximately 7.5 megabyte axial anatomical images are 2048 pixels by 1216 pixels, with each pixel being .33mm in size, and defined by 24 bits of color. The anatomical cross-sections are at 1mm intervals to coincide with the CT images. There are 1,871 cross-sections for both CT and anatomical images. The complete male data set is approximately 15 gigabytes.",
"title": "Download - Visible Human Project - Male Data"
},
{
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"html": "https://data.lhncbc.nlm.nih.gov/public/Visible-Human/Female-Images/index.html"
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"description": "The Visible Human Female data set has the same characteristics as the Visible Human Male. However, the axial anatomical images were obtained at 0.33 mm intervals. Spacing in the “Z” dimension was reduced to 0.33mm in order to match the 0.33mm pixel sizing in the “X-Y” plane. As a result, developers interested in three-dimensional reconstructions are able to work with cubic voxels. There are 5,189 anatomical images in the Visible Human Female data set. The data set size is approximately 40 gigabytes.",
"title": "Download - Visible Human Project - Female Data"
},
{
"urls": {
"html": "https://data.lhncbc.nlm.nih.gov/public/Visible-Human/Additional-Head-Images/index.html"
},
"description": "Data is the head of a 72 year old male donor. The donor was preserved in formalin and the blood vessels were filled with araldite-F. Before freezing, MRI and CAT imaging was preformed. After freezing the specimen was cryo sectioned at 0.147mm intervals and digital photographs were taken with a resolution of 1056 x 1528 pixels.",
"title": "Download - Visible Human Project - Additional Head Images"
}
],
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"html": "https://data.lhncbc.nlm.nih.gov/public/Visible-Human/Sample-Data/index.html"
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},
"permalink": "https://datadiscovery.nlm.nih.gov/d/ux2j-9i9a",
"link": "https://datadiscovery.nlm.nih.gov/Diagnostic-Imaging/Visible-Human-Project/ux2j-9i9a",
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{
"resource": {
"name": "LactMed (Drugs and Lactation Database)",
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"description": "LactMed (Drugs and Lactation Database) contains information on drugs and other chemicals to which breastfeeding mothers may be exposed. It includes information on the levels of such substances in breast milk and infant blood, and the possible adverse effects in the nursing infant. Suggested therapeutic alternatives to those drugs are provided, where appropriate.",
"attribution": "National Library of Medicine, National Institutes of Health",
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"type": "href",
"updatedAt": "2025-06-18T21:07:02.000Z",
"createdAt": "2020-09-18T19:23:02.000Z",
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"data_updated_at": "2020-09-18T19:23:02.000Z",
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"title": "LactMed Homepage"
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"DATASET": "https://ftp.ncbi.nlm.nih.gov/pub/litarch/90/6c/"
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"title": "Download LactMed Data"
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"urls": {
"DATASET": "https://ftp.nlm.nih.gov/projects/lactmedlease/"
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"description": "These previous versions of LactMed data are no longer updated and are for research and development purposes only.",
"title": "Download LactMed Data 2015-2019"
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"description": "This dataset includes all newly added MeSH Main Headings for 2023. Headings play a central role in MeSH vocabulary as a unit of Indexing and retrieval. With the exception of Class 3 Descriptors, all descriptors are organized into a numbered tree structure or hierarchy that allows users to browse in a orderly fashion from broader to narrower topics. Scope Notes provide a concise summary describing the meaning and scope of the MeSH Descriptor.",
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}Attribution: Source: datadiscovery.nlm.nih.gov. Dataset attribution as stated by each publishing agency.
Licence: Datasets on this portal declare the licence "Public Domain U.S. Government" in their Socrata metadata; the portal publishes no separate API licence and different datasets may carry different terms. Quoted as found in the portal's own catalogue.
Ask with this source
A prompt for your agent that names this source and how to call it through the crw MCP.
Catalogue search
Use datadiscovery.nlm.nih.gov (datadiscovery-nlm-nih-gov) from fastCRW Pergamon, capability "Catalogue search" (catalog-search). You want to find a dataset on this portal by keyword and do not know its four-by-four id. Example options: q=taxi, offset=0, order=page_views_total DESC. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "datadiscovery-nlm-nih-gov" and capability "catalog-search". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>
Dataset metadata
Use datadiscovery.nlm.nih.gov (datadiscovery-nlm-nih-gov) from fastCRW Pergamon, capability "Dataset metadata" (dataset). You already hold a dataset id and need its columns, licence or description before querying rows. Example options: id=naqc-j4tg. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "datadiscovery-nlm-nih-gov" and capability "dataset". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>
Dataset inventory
Use datadiscovery.nlm.nih.gov (datadiscovery-nlm-nih-gov) from fastCRW Pergamon, capability "Dataset inventory" (datasets). You need to enumerate what this portal publishes, or page through its newest datasets. Example options: offset=0, order=createdAt, category=Transportation. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "datadiscovery-nlm-nih-gov" and capability "datasets". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>
Row count
Use datadiscovery.nlm.nih.gov (datadiscovery-nlm-nih-gov) from fastCRW Pergamon, capability "Row count" (row-count). You need to know how large a dataset is before downloading it, or want a cheap liveness check. Example options: id=naqc-j4tg. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "datadiscovery-nlm-nih-gov" and capability "row-count". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>
