This dataset contains a product of annual global soil respiration from 2000 to 2020 at 1 km��1 km spatial resolution. It is an updated dataset and the previous dataset includes a product of annual global soil respiration from 2000 to 2014 (https://doi.org/10.5061/dryad.w3r2280nq). More details on this dataset are presented in the paper titled ���Spatial and temporal variations in global soil respiration and their relationships with climate and land cover���. This dataset was derived using satellite remote sensing data, biome-specific statistical models, and 1,292 site years of globally-distributed in-situ soil respiration measurements. All data processing and statistical analyses were conducted using Matlab (The MathWorks, Natick, MA).

{"references": ["N. Huang, L. Wang, X.-P. Song, T. A. Black, R. S. Jassal, R. B. Myneni, C. Wu, L. Wang, W. Song, D. Ji, S. Yu, Z. Niu, Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Sci. Adv. 6, eabb8508 (2020)."]}