biostudies-literatureUnknown11(1)Gao SFunctional traits reveal the adaptive strategies of species to their environment, and are relevant to the formation of communities, the function of ecosystems, and the mechanisms underlying biodiversity. However, trait databases have not been established for most biological taxa, especially for insects, which encompass a vast number of species. This study measured the morphological traits of 307 species of Heteroptera insects collected in 2019 from the "Xishuangbanna Priority Conservation Area" in Southwest China using sweep netting and light trapping methods. This study provides a dataset for 307 Heteroptera species, comprising 34 morphometric measurements and 17 morphological traits. The dataset contains information on species sex, abundance, and the average, maximum, and minimum values Scientific data694https://www.ebi.ac.uk/biostudies/studies/S-EPMC11208582biostudies-literatureA morphological traits dataset of Heteroptera sampled in biodiversity priority areas of Southwest China.PMC11208582Lu ZZhang XYu WTian TLi QChen YGao SfalseA morphological traits dataset of Heteroptera sampled in biodiversity priority areas of Southwest China.Functional traits reveal the adaptive strategies of species to their environment, and are relevant to the formation of communities, the function of ecosystems, and the mechanisms underlying biodiversity. However, trait databases have not been established for most biological taxa, especially for insects, which encompass a vast number of species. This study measured the morphological traits of 307 species of Heteroptera insects collected in 2019 from the "Xishuangbanna Priority Conservation Area" in Southwest China using sweep netting and light trapping methods. This study provides a dataset for 307 Heteroptera species, comprising 34 morphometric measurements and 17 morphological traits. The dataset contains information on species sex, abundance, and the average, maximum, and minimum values 2024-01-01T00:00:00Z2024 Jun2026-06-01T21:25:21.605Z2025-04-04T21:22:15.354ZS-EPMC112085823892645210.1038/s41597-024-03556-x