Data and R code for "The paleoclimatic footprint in the soil carbon stock of Tibetan permafrost region"

A new estimate of Tibetan soil carbon pool, at a 0.1° spatial resolution, obtained by including paleoclimate, modern climate and landform, soil geochemical properties in multiple machine learning algorithms.

Bibliographic Details
Main Authors:	Jinzhi Ding, Wang, Tao, Shilong Piao, Smith, Pete, Ganlin Zhang, Shiping Wang, Shengyun Chen, Fuqiang Dai, Jinsheng He, Yingnian Li, Yongwen Liu, Jiafu Mao, Hanqing Tian, Zhao, Lin, Zhengjie Yan, Shuai Ren, Liu, Dan
Format:	Dataset
Language:	unknown
Published:	figshare 2019
Subjects:	50301 Carbon Sequestration Science FOS Agriculture, forestry and fisheries permafrost
Online Access:	https://dx.doi.org/10.6084/m9.figshare.8832509.v1 https://figshare.com/articles/Data_and_R_code_for_The_paleoclimatic_footprint_in_the_soil_carbon_stock_of_Tibetan_permafrost_region_/8832509/1

Description
Summary:	A new estimate of Tibetan soil carbon pool, at a 0.1° spatial resolution, obtained by including paleoclimate, modern climate and landform, soil geochemical properties in multiple machine learning algorithms.