Spatial distribution dataset of 2,466 endemic plant species on the Qinghai-Tibet Plateau

The dataset underwent rigorous quality control procedures, including coordinate validation, duplicate removal, and spatial rarefaction, resulting in 36,909 high-quality occurrence records (from an initial raw dataset of 53,116 records).

Each record includes core metadata such as species name, decimal-degree coordinates, and collection year.This dataset provides foundational data support for endemic plant diversity conservation on the QTP, protected area effectiveness evaluation, and conservation priority identification under climate change scenarios. Based on this dataset, combined with WorldClim climatic data, soil data (HWSD v2.0), topographic data, and human footprint data, the following studies can be conducted using MaxEnt species distribution models and the Zonation spatial prioritization algorithm:(1) Analysis of species richness patterns and driving factors of endemic plants on the QTP;(2) Projection of range expansion and contraction trends of endemic plants under climate change scenarios;(3) Evaluation of the effectiveness of existing protected area networks in capturing biodiversity hotspots;(4) Spatial optimization of climate-informed conservation priority areas.This dataset is organized in a folder structure containing 2,466 CSV files, each corresponding to the occurrence records of a single endemic plant species.