A globally gridded heterotrophic respiration dataset based on field observations

There are two datasets in this data repository: the first one, named “RH.RF.720.360.1980.2016.Yearly.nc”, is a global heterotrophic respiration (RH) product with a spatial resolution of with 0.5 degree and a time resolution of one year. The global RH product is modelled by Random Forest algorithm with field observations and environmental variables. The environmental variables include temperature, precipitation, diurnal temperature range from CRU TS v.4.01 from 1901 to 2016; shortwave radiation; soil organic carbon content from soil grid data (Hengl et al., 2017); soil nitrogen content from ORNL DAAC; nitrogen deposition data from the Earth System Models of GISS-E2-R, CCSM-CAM3.5 and GFDL-AM3 from the 1850s to 2000s; Palmer Drought Severity Index (PDSI); and soil water content.The RH product is provided in network Common Data Form, version 4 (netCDF-4, short name: nc) data format (https://www.unidata.ucar.edu/software/netcdf/). The RH product is named using the following regulation:"RH.modelling approaches.spatial resolution.start YYYY. end YYYY.temporal resolution.nc"“RH.RF.720.360.1980.2016.Yearly.nc” means modelled RH flux (g C m^-2 yr^-1) by Random Forest (RF) with a 0.5° spatial resolution (size 720 along longitude and 360 along latitude) from start year 1980 to end year 2016 with a yearly temporal resolution.The second file, named “dataset.xlsx”, is the field observation from peer review publications combining Global Soil Respiration Database (SRDB), (version 3, Bond-Lamberty and Thomson, 2014), which is publicly available at https://github.com/bpbond/srdb. Besides, the database was further updated using observations collected from the China Knowledge Resource Integrated Database (www.cnki.net) up to March 2018 according to the criteria of SRDB. This dataset is provided in Microsoft Excel in format of “.xlsx”.R codes to produce main results and land area (named land.area.nc, km^2) are available.