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)."]}