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Li Ma's 2026 dataset provides processed survey data on tree cover, carbon density, and environmental factors for China's Loess Plateau. The 4.5 MB collection includes XML files with geographic coordinates, precipitation, and slope data, plus R code for reproducing study figures. This resource supports research into vegetation state shifts and large-scale afforestation outcomes.
License is CC-BY-4.0. Files are in multiple formats (XLSX, CSV, R, MAT, FIG), requiring compatible software.