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The number of metagenomes deposited in major public repositories such as Sequence Read Archive (SRA) and Metagenomic Rapid Annotations using Subsystems Technology (MG-RAST) is rising exponentially. However, data mining and interpretation can be challenging due to mis-annotated and misleading metadata entries. In this study, we describe the Marine Metagenome Metadata Database (MarineMetagenomeDB) to help researchers identify marine metagenomes of interest for re-analysis and meta-analysis. To this end, we have manually curated the associated metadata of several thousands of microbial metagenomes currently deposited at SRA and MG-RAST.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>In total, 125 terms were curated according to 17 different classes (e.g., biome, material, oceanic zone, geographic feature\u00a0and oceanographic phenomena). Other standardized features include sample attributes (e.g., salinity, depth), sample location (e.g., latitude, longitude), and sequencing features (e.g., sequencing platform, sequence count). MarineMetagenomeDB version 1.0 contains 11,449 marine metagenomes from SRA and MG-RAST distributed across all oceans and several seas. Most samples were sequenced using Illumina sequencing technology (84.33%). More than 55% of the samples were collected from the Pacific and the Atlantic Oceans. About 40% of the samples had their biomes assigned as \u2018ocean\u2019. The \u2018Quick Search\u2019 and \u2018Advanced Search\u2019 tabs allow users to use different filters to select samples of interest dynamically in the web app. The interactive map allows the visualization of samples based on their location on the world map. The web app is also equipped with a novel download tool (on both Windows and Linux operating systems), that allows easy download of raw sequence data of selected samples from their respective repositories. As a use case, we demonstrated how to use the\u00a0MarineMetagenomeDB web app to select estuarine metagenomes for\u00a0potential large-scale microbial biogeography studies.\n<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The MarineMetagenomeDB is a powerful resource for non-bioinformaticians to find marine metagenome samples with curated metadata and stimulate meta-studies involving marine microbiomes. Our user-friendly web app is publicly available at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/webapp.ufz.de\/marmdb\/\">https:\/\/webapp.ufz.de\/marmdb\/<\/jats:ext-link>.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s40793-022-00449-7","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T19:03:43Z","timestamp":1668798223000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes"],"prefix":"10.1186","volume":"17","author":[{"given":"Muhammad Kabiru","family":"Nata\u2019ala","sequence":"first","affiliation":[]},{"given":"Anderson P.","family":"Avila Santos","sequence":"additional","affiliation":[]},{"given":"Jonas","family":"Coelho Kasmanas","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Bartholom\u00e4us","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o Pedro","family":"Saraiva","sequence":"additional","affiliation":[]},{"given":"Sandra","family":"Godinho Silva","sequence":"additional","affiliation":[]},{"given":"Tina","family":"Keller-Costa","sequence":"additional","affiliation":[]},{"given":"Rodrigo","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Newton C. 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