Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES Data in Brief 112135 [13 p.] One Health Dataset Pathogenic bacteria Marine ecosystems, Human, Animal 2025 fdi:010095488 ENG Data in Brief 2352-3409 ISI:001602582000002 10.1016/j.dib.2025.112135 https://www.documentation.ird.fr/hor/fdi:010095488 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-12/010095488.pdf 63 Horizon (IRD) NEMESISdb is a 16S rRNA full length sequence curated dataset designed to enable the identification and tracking of potentially pathogenic bacteria (PPB) for human, fish, and crustacean hosts. It addresses the limited focus on marine and coastal environments as key reservoirs for PPB, where bacteria from diverse sources-terrestrial, marine, and animal-can coexist. Leveraging recent advances in highthroughput sequencing, NEMESISdb provides a robust resource for the detection of PPB in 16S rRNA gene metabarcoding or metagenomic data. The database comprises three datasets corresponding to human, fish, and crustacean hosts, containing 1703, 222, and 64 PPB species, respectively, with a total of over 150,0 0 0 16S rRNA full length sequences cu-rated for accuracy. This resource was constructed by extracting sequences from the SILVA 138.2 SSU Ref NR99 database, refining them through a rigorous curation pipeline to ensure taxonomic consistency and eliminate misclassifications. The resulting datasets are optimized for use with popular tools such as BLAST and classifier software, enabling rapid and accurate detection of PPB in metabarcoding and metagenomic data. NEMESISdb supports diverse applications, including pathogen surveillance in aquatic ecosystems, studies on environmental factors influencing PPB dynamics, and the development of targeted strategies for mitigating pathogen impacts in aquaculture. Additionally, it facilitates research within the One Health framework by linking the circulation of PPB across environmental, animal, and human compartments. 020 ; 052 ; 021 ; 034 UR248 Vietnam