Upload README.md

GlobalMask/README.md

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+# GlobalMask
+
+The released GlobalMask dataset is divided into fixed training and testing
+splits. Both files contain the same arrays and dimensions, but differ in the
+number of global grid-cell samples.
+
+| Split | Samples | File |
+|---|---:|---|
+| Training | 3373 | `train/GlobalMask_train.npz` |
+| Testing | 852 | `test/GlobalMask_test.npz` |
+
+## Variables
+
+- `ed_simulation_x` — monthly ED input features
+- `ed_simulation_y` — age-specific ED simulation targets
+- `ed_simulation_pft_bl` — annual age-specific ED broadleaf PFT fractions
+- `ed_simulation_pft_nl` — annual age-specific ED needleleaf PFT fractions
+- `ed_simulation_pft_gs` — annual age-specific ED grass-and-shrub PFT fractions
+- `lidar_age_weight_fraction` — LiDAR-derived forest-age fractions
+- `esa_cci_bl_fraction` — annual ESA CCI broadleaf PFT fractions
+- `esa_cci_nl_fraction` — annual ESA CCI needleleaf PFT fractions
+- `esa_cci_gs_fraction` — annual ESA CCI grass-and-shrub PFT fractions
+
+All released arrays use sample-first orientation.
+
+Detailed dimensions and normalization statistics are provided in:
+
+- `../metadata/dimension_definitions.md`
+- `../metadata/normalization_statistics.npz`