- API
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.
- API
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.
- API
Disaster Lit® (retired June 1, 2021)
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:09.000ZThis resource was retired on June 1, 2021 and is no longer updated. These data remain available to support research and development efforts. More information is available at https://www.nlm.nih.gov/dimrc/disasterinfo.html. Disaster Lit®: Database for Disaster Medicine and Public Health is a dataset of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, factsheets, websites, databases, and similar materials selected from over 700 organizations for a professional audience. Materials were selected from non-commercial publishing sources and supplement disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).
- API
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/
- API
ProSplign
datadiscovery.nlm.nih.gov | Last Updated 2022-09-30T22:32:12.000ZA utility for computing alignment of proteins to genomic nucleotide sequence based on a variation of the Needleman Wunsch global alignment algorithm and specifically accounts for introns and splice signals.