biostudies-literaturePu SYChinese Academy of SciencesYunnan Revitalization Talent Support Program Yunling Scholar ProjectYunnan Fundamental Research ProjectsYunnan Technology Innovation Talent ProgramYunnan Revitalization Talent Support Program Yunling Scholar Project (Xuemei Lu)baaf077https://www.ebi.ac.uk/biostudies/studies/S-EPMC12724073biostudies-literatureUnknown2025Odonata (dragonflies and damselflies) are among the most ancient winged insects, with over 900 species recorded in China, representing the highest global diversity. However, the lack of a centralized database integrating morphological, ecological, and multiomics data has hindered large-scale research and conservation efforts. We present Odonata of China (http://dragonflies.kiz.ac.cn), a comprehensive database compiling taxonomic, biogeographic, phenotypic, and multiomics data for 820 species across 3 suborders, 22 families, and 172 genera. The database features advanced search modules (direct, phylogenetic, and map-based), genomic and transcriptomic data for 20 representative families, and high-resolution images. The platform is constructed based on mainstream open-source technologies, ensDatabase : the journal of biological databases and curationThe Odonata of China: a data-driven, open-access resource for biodiversity research and conservation.PMC12724073202505AT350003202401BC070017XDA0460405202405AS350022202305AD160021Li ZFTao XLWang YNLu JSLu XPu SYZhang HMfalseThe Odonata of China: a data-driven, open-access resource for biodiversity research and conservation.Odonata (dragonflies and damselflies) are among the most ancient winged insects, with over 900 species recorded in China, representing the highest global diversity. However, the lack of a centralized database integrating morphological, ecological, and multiomics data has hindered large-scale research and conservation efforts. We present Odonata of China (http://dragonflies.kiz.ac.cn), a comprehensive database compiling taxonomic, biogeographic, phenotypic, and multiomics data for 820 species across 3 suborders, 22 families, and 172 genera. The database features advanced search modules (direct, phylogenetic, and map-based), genomic and transcriptomic data for 20 representative families, and high-resolution images. The platform is constructed based on mainstream open-source technologies, ens2025-01-01T00:00:00Z2025 Jan2026-06-06T04:30:04.648Z2026-05-25T03:12:06.459ZS-EPMC127240734143292310.1093/database/baaf077