NIH NCBI PMC Article Datasets - Full-Text Biomedical and Life Sciences Journal Articles on AWS

csv life sciences machine learning natural language processing STRIDES txt xml


PubMed Central® (PMC) is a free full-text archive of biomedical and life sciences journal article at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM). The PubMed Central (PMC) Article Datasets include full-text articles archived in PMC and made available under license terms that allow for text mining and other types of secondary analysis and reuse. The articles are organized on AWS based on general license type:

The PMC Open Access (OA) Subset, which includes all articles in PMC with a machine-readable Creative Commons license

The Author Manuscript Dataset, which includes all articles collected under a funder policy in PMC and made available in machine-readable formats for text mining

These datasets collectively span more than half of PMC’s total collection of full-text articles. PMC enables access to these datasets to expand the impact of open access and publicly-funded research; enable greater machine learning across the spectrum of scientific research; reach new audiences; and open new doors for discovery. The bucket in this registry contains individual articles in NISO Z39.96-2015 JATS XML format as well as in plain text as extracted from the XML. The bucket is updated daily with new and updated articles. Also included are file lists that include metadata for articles in each dataset.

Update Frequency



PMC Copyright


Managed By

National Library of Medicine (NLM)

See all datasets managed by National Library of Medicine (NLM).


Usage Examples


Resources on AWS

  • Description
    .xml and .txt files with the full-text of articles; .txt and .csv file lists for metadata; all located in a public S3 bucket
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    AWS Region
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://pmc-oa-opendata/ --no-sign-request

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