%0 Dataset
%T Data of Compound soil and atmospheric dryness drives recent vegetation browning across the northern permafrost zone
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/4a7ea132-03f7-4b7b-89df-c04ae2c3f231
%W NCDC
%R 10.12072/ncdc.permafrost.db7313.2026
%A Wu Mousong
%A Oliver Sonnentag
%A Mark J. Lara
%A Ran Youhua
%A Hans W. Chen
%A Zhang Wenxin
%A Philippe Ciais
%A Bo Elberling
%A Xin Li
%A Anping Chen
%A Songhan Wang
%A Yonghong Yi
%A Changhui Peng
%A Chen Deliang
%K Vegetation index;Arctic region;permafrost
%X This data includes all datasets and reproducible codes used in the article by Wu M et al. Nature Communications, 2026. The data includes research area boundaries, meteorological factors, soil environmental variables, vegetation parameters, wildfires, water bodies, and other elements. In addition, the data also includes key results generated during the analysis process, such as changing trends, composite soil atmospheric drought factors, CMIP6 simulation results, and analysis results. The spatial resolution of the data is uniformly processed to 0.05 degrees, and the growth season is averaged over time. This dataset can be used to analyze the relationship between soil, vegetation, and climate change in permafrost regions, as well as to reveal the changes in their interrelationships under future climate change scenarios.The data is mainly stored in netcdf and tif formats, with some stored in CSV format, which can be read and analyzed in Python through the provided code.