2026-10-13T04:16:24Z https://www.scidb.cn/oai

10.57760/sciencedb.32970 2026-05-08T14:44:24Z

2026-05-08 Spatial distribution and environmental attributes dataset of China's large-scale data centers in 2024 doi:10.57760/sciencedb.32970 en This dataset documents the spatial distribution, multi-dimensional environmental characteristics, and visual samples of large-scale data centers across China. It consists of three core components:Verified geographic locations of large-scale data centers from multi-source POI records;Spatial probability surfaces of data center distribution derived from Random Forest classification models;Representative satellite images of data center rooftops, with one typical image clipped for each province, obtained from Google Earth.Attributed environmental variables include longitude, latitude, temperature, precipitation, elevation, and operational type. All geographic data follow a unified spatial reference (WGS84/UTM Zone 50N) and use 2024 as the temporal baseline. This dataset supports spatial pattern analysis, environmental suitability assessment, remote sensing identification, and model validation in studies of data center geography and distribution. Large-scale data centers; spatial distribution dataset; Random Forest Ziwei Yang Kaile Zhou Yue Niu PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank