Global monthly and annual <i>R</i><sub>s</sub> from 1982 to 2018 (Global Change biology; https://doi.org/10.1111/gcb.70118<b>)</b>
收藏资源简介：
We provide the data for predicted soil respiration (<i>R</i><sub>s</sub>) from deep learning model (MLP). The resolution for all .tif files is 0.05°. The unit is expressed in g C m<sup>-2</sup> year<sup>-1</sup> (for annual <i>R</i><sub>s</sub>) and in g C m<sup>-2</sup> month<sup>-1</sup> (for monthly <i>R</i><sub>s</sub>).The R code used for the paper figures is available in the zip file "R code".<br><b>Note that any use of the data or code should cite the original article:</b><br><br>Laffitte, B., Zhou, T., Yang, Z., Ciais, P., Jian, J., Huang, N., Seyler, B.C., Pei, X. and Tang, X. (2025), Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration. Glob Change Biol, 31: e70118. <b>https://doi.org/10.1111/gcb.70118</b><br>
