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PubMed total records by publication year
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:09.000ZYearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781. These totals may increase over time for a particular year as new citations are added. For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.
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MEDLINE/PubMed Citations
datadiscovery.nlm.nih.gov | Last Updated 2023-08-09T18:59:54.000ZPubMed is a free resource supporting the search and retrieval of biomedical and life sciences literature with the aim of improving health–both globally and personally. The PubMed database contains citations and abstracts of biomedical literature. It does not include full text journal articles; however, links to the full text are often present when available from other sources, such as the publisher's website or PubMed Central (PMC). See the PubMed User Guide for more information. https://pubmed.ncbi.nlm.nih.gov/help/
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Medical Subject Headings (MeSH)
datadiscovery.nlm.nih.gov | Last Updated 2023-06-30T20:20:41.000ZMedical 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. Updates to the data files are made according to the following schedule: MeSH XML MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday) MeSH ASCII MeSH Descriptor files updated annually MeSH Qualifier files updated annually MeSH Supplemental Concept Records (SCR) updated daily (Monday - Friday) MeSH MARC21 All files posted monthly MeSH RDF All files posted daily (Monday - Friday)
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Entrez Programming Utilities
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:10.000ZThe Entrez Programming Utilities (E-utilities) are a set of eight server-side programs that provide a stable interface into the Entrez query and database system at the National Center for Biotechnology Information (NCBI). The E-utilities use a fixed URL syntax that translates a standard set of input parameters into the values necessary for various NCBI software components to search for and retrieve the requested data. The E-utilities are therefore the structured interface to the Entrez system, which currently includes 38 databases covering a variety of biomedical data, including nucleotide and protein sequences, gene records, three-dimensional molecular structures, and the biomedical literature. Technical Documentation at http://www.ncbi.nlm.nih.gov/books/NBK25501/
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Digitized NHANES II X-ray Films
datadiscovery.nlm.nih.gov | Last Updated 2024-06-20T15:27:16.000ZThe 17,000 NHANES images are available in the following formats: jpg - full spatial resolution and 8-bit grayscale jpgahe – jpg with adaptive histogram equalization (AHE) jpgaheus - jpg with adaptive histogram equalization (AHE) followed by unsharp masking tif8 - full spatial resolution and 8-bit grayscale resolution in TIFF format tif8roi - A small subset of the cervical spine images is available at full spatial resolution and 8-bit, cropped to regions of interest containing the spine area fullres - The 17,000 NHANES II images at full spatial and full 12-bit grayscale resolution, in raw "nh2" format, uncompressed marks - Vertebra coordinate values for a subset of about 600 of the images is available in ASCII text format Information about the Second National Health and Nutrition Examination Survey (NHANES II) The National Health and Nutrition Examination Surveys The National Health and Nutrition Examination Surveys (NHANES), conducted by the National Center for Health Statistics, Centers for Disease Control (NCHS/CDC), were designed to assess the health and nutritional status of adults and children in the United States through interviews and direct physical examinations. These images are the digitized versions of the 17,000 x-ray films collected during the Second National Health and Nutrition Examination Survey (NHANES II) conducted by the NCHS during the years 1976-1980. In NHANES II 20,322 individuals were both interviewed and examined. For examined persons aged 25 through 74, two x-rays were made, with the exceptions that no x-rays were taken of pregnant women and no lumbar x-rays were taken on women under 50 years of age. X-rays of the cervical and lumbar spines were taken to provide evidence of osteoarthitis and degenerative disc disease. The films were subsequently digitized at a horizontal and vertical sampling rate of 146 dpi using Lumisys laser scanning equipment. The NHANES radiographs were scanned by Dr. Bernie Huang at the University of California at Los Angeles and the University of California at San Francisco. Dr. Huang’s group used a Lumysis 100 with a 175 micron spot to scan the first 6000 radiographs. The remaining radiographs were scanned on the Lumysis 150 again with a 175 micron spot size. NOTE: This dataset is no-longer updated with new content.
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PubMed
datadiscovery.nlm.nih.gov | Last Updated 2023-08-09T19:00:10.000ZPubMed comprises more than 26 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
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Images from the History of Medicine
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:11.000ZImages from the History of Medicine (IHM) in NLM Digital Collections provides online access to images from the historical collections of the U.S. National Library of Medicine. IHM includes image files of a wide variety of visual media including fine art, photographs, engravings, and posters that illustrate the social and historical aspects of medicine dating from the 15th to 21st century.
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Multiple Sequence Alignment (MSA) Viewer
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZAn interactive Web application that enables users to visualize multiple alignments created by database search results or other software applications. The MSA Viewer allows users to upload an alignment and set a master sequence and to explore the data using features such as zooming and changing of coloration.