Global grassland GPPmax from 1982-2020 based on upscaling eddy covariance method using machine learning method

This dataset provides monthly maximum gross primary productivity (GPPmax) of global grasslands from 1982 to 2020. GPPmax values were generated by calculating seasonal maximum monthly GPP generated by upscaling site-level eddy covariance flux measurements using a machine learning approach. The data can be used to examine long-term trends in grassland productivity, assess regional variations, and investigate the effects of climate drivers such as decadal droughts.