The CPDB is a single standardized resource of the results of 45 years of chronic, long-term carcinogenesis bioassays. The experiments vary widely in design, histopathological examination and nomenclature, and in the published authors’ choices of what information to publish in their papers. Data are included from 6153 experiments reported in the general literature and in the in Technical Reports of the National Cancer Institute/National Toxicology Program (NCI/NTP). Information is given in the CPDB on strain, sex, route of compound administration, target organ, histopathology, author’s opinion about carcinogenicity, and reference to the published paper, as well as quantitative data on statistical significance, tumor incidence, dose-response curve shape, length of experiment, duration of dosing, and dose-rate.

The files on this Web site for the Excel format include (A) documentation of methods, field descriptions, and linking instructions; (B) Excel files; and (C) ancillary files of appendices. NOTE: This dataset is no-longer updated with new content.

The Clinical Questions Collection is a repository of questions that have been collected between 1991 – 2003 from healthcare providers in clinical settings across the country. The questions have been submitted by investigators who wish to share their data with other researchers. This dataset is no-longer updated with new content. The collection is used in developing approaches to clinical and consumer-health question answering, as well as researching information needs of clinicians and the language they use to express their information needs. All files are formatted in XML.

The collections described in this Directory database provide research and reference services to scholars interested in the history of the health sciences. Some of the subjects include: dentistry, veterinary medicine, nursing, biomedical sciences, military medicine, and pharmacy. While the Directory is by no means exhaustive, it serves to draw attention to the depth and variety of history of medicine collections available to researchers. In the future, we expect that more institutions will wish to be included.

This resource was retired on June 1, 2021 and is no longer updated.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).

LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. The articles are updated daily and are further categorized by different research topics (e.g. Long Covid) and geographic locations for improved access.

A MARC-based catalog, the LocatorPlus Catalog provides access to NLM bibliographic data for journals, books, audiovisuals, computer software, electronic resources and other materials.

An online edition of XML-encoded speeches, articles, and Congressional Appropriations testimonies by former NLM director Martin M. Cummings, based on the collection of his papers in HMD’s Modern Manuscripts collection.

NLM produces a baseline set of MEDLINE/PubMed citation records in XML format in December of each year. NLM also produces daily update files that include new, revised and deleted citations. Downloading data from the National Library of Medicine FTP servers indicates your acceptance of the following Terms and Conditions: No charges, usage fees or royalties are paid to NLM for this data. https://www.nlm.nih.gov/databases/download/terms_and_conditions_pubmed.html

See our documentation page for more information. https://www.nlm.nih.gov/databases/download/pubmed_medline_documentation.html

A subset of the total collection of books and documents in the NLM Literature Archive (NLM LitArch), accessible through the Bookshelf website, are available through the NLM LitArch Open Access subset. Contents in the NLM LitArch Open Access subset generally include works which are in the public domain, works which are available under a Creative Commons or similar license, and works whose authors or publishers have explicitly agreed to the terms of the NLM LitArch Open Access subset. Except for public domain works, works in the NLM LitArch Open Access subset are still protected by copyright, but are made available under a Creative Commons or similar license that generally allows more liberal redistribution and reuse than a traditional copyrighted work. The license terms are not the same for each work. Read the license text which is available with each downloadable file to determine terms of use.

The OLDMEDLINE subset in PubMed® represents journal article citations from two print indexes: Cumulated Index Medicus (CIM) and the Current List of Medical Literature (CLML). Created by the National Library of Medicine® (NLM®), there are approximately 2,011,000 article citations from international biomedical journals that cover the fields of medicine, preclinical sciences and allied health sciences from 1946 through 1965. OLDMEDLINE records, which are included in the MEDLINE® database, can be searched via PubMed.

The OLDMEDLINE subset in PubMed contains citations from the 1960 through 1965 Cumulated Index Medicus (CIM) print indexes and the 1946 through 1959 Current List of Medical Literature (CLML) print indexes. The OLDMEDLINE subset does not include citations from the Quarterly Cumulative Index Medicus (QCIM) print indexes. A hand search of the QCIM print indexes is necessary to ensure comprehensive review of medical periodical literature of the world from 1946 through 1956.