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All samples were uniformly processed using a streamlined metagenomic classification pipeline that employs a unique and comprehensive reference database indexed to contain all sequences across all kingdoms of life that were present in the NCBI Nucleotide (nt) database retrieved on 4 January 2023. This pipeline leverages high-performance computing (HPC) resources at Lawrence Livermore National Laboratory and was used to process 50TB of publicly available raw metagenomic sequence data. Extensive metadata curation was carried out through a combination of manual curation and automated parsing, producing a consistent inter-study metadata table specifically structured to facilitate training of ML models for prediction of human health.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>Data is available at https:\/\/gdo-meta2db.llnl.gov\/ and https:\/\/zenodo.org\/records\/17315984.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag422","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T16:24:05Z","timestamp":1782923045000},"source":"Crossref","is-referenced-by-count":0,"title":["Meta2DB: curated shotgun metagenomic feature sets and metadata for health state 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