
This repository provides the analysis code and source metadata used to construct and validate the global grassland aboveground biomass (AGB) dataset described in the associated publication. It includes:• Python scripts for random forest model training and AGB map generation• MATLAB scripts for spatial and temporal analyses• A compiled table summarizing all site-level field AGB data sources and access information These materials support transparency and reproducibility of the modeling and validation workflow. Large raster predictors and outputs are not included due to file size constraints.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
