Data for the manuscript “<b>Expanding hydrologically-linked permafrost-thaw collapse features accelerate sediment and carbon loss across the Tibetan Plateau</b>”
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These files provide the key data of the hydrologically-linked permafrost collapse features (PCFs) on the Tibetan Plateau and the associated sediment and carbon loss from these PCFs.<b>1_PCF_inventory</b> folder includes the .shp files of PCF inventory on the Tibetan Plateau, including a total of 5512 PCFs.<b>2_Permafrost_data</b> folder includes the simulated permafrost data by SHAW model. <i>QTP_point_feature.txt</i> records the key factors of permafrost dynamics on the Tibetan Plateau in a 1-km spatial resolution.<b>3_River_permafrost</b> folder includes the difference between waterbody temperature and air temperature on the plateau and their impacts on permafrost. <i>TP_water_T_change</i> subfolder includes the water temperatures across the plateau and the surrounding air temperatures. <i>Inundated_permafrost</i> subfolder includes the modeling experiment of permafrost responses to river water temperature change at a section of Tuotuohe river.<b>4_PCF_prediction</b> folder includes the predicted PCF risk regions and the disturbed area by random forest model on the Tibetan Plateau. <i>QTP_PCF&predictors.txt</i> records the predictors of each 1-km grid on the plateau. <i>PCF_Risk</i> subfolder includes the predictions of PCF risk (risk map, model accuracy, and predictor importance). <i>PCF_Area</i> subfolder includes the predictions of disturbed area in risk grids (disturbed area and volume map, optimal model, and predictor importance). <i>Codes</i> subfolder includes the codes for train and prediction.<b>5_PCF_sedment&carbon_loss</b> folder includes the estimated sediment, soil organic carbon, and vegetation biomass losses from existing PCFs and potential PCF risk. <i>Current</i> subfolder includes the losses of each region due to existing PCFs. <i>NewPCF_16-22</i> subfolder includes the losses from newly formed PCFs in each year from 2016 to 2022. <i>Potential</i> subfolder includes the predicted losses from the potential PCF risk and the associated codes.<b>6_PCF_river_transport</b> folder includes the SSC and SSF data of the representative PCF-free upstream reach and PCF-abundant downstream reach at headwater Yangtze River.For more information and relative codes, kindly reach out to the authors at yi.zhao@pku.edu.cn or yizhao_cryo@outlook.com.
