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README.md

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+# Cluster-wise Regression Reveals Drivers of Present-Day Glacier Changes
+
+TODO: add link paper
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+This dataset contains glacier-level data used for cluster-wise glacier mass-balance regression.
+
+## CSV data
+
+`df_mb_with_morpho_and_clim_GSWP3_W5E5.csv` contains one row per glacier, indexed by RGI ID. It includes selected morphological predictors, climate anomalies, location/region metadata, projected coordinates, observed mass balance (`mb`), and mass-balance uncertainty (`mb_err`). The main predictors used here are:
+
+- `slope_20prc`
+- `z_mean`
+- `area_debris_prc`
+- `norm_contrib_area`
+- `temp_anom_2000_to_2019`
+- `prcp_anom_2000_to_2019`
+
+## Cluster GeoPackages
+
+The files in `clusters_geocoded/` contain geocoded glacier points for each analysis region. Each file includes the glacier attributes above, a selected `cluster` label, and the full set of available clustering labels (`clabels_*`) for different numbers of clusters.
+
+Cluster labels were generated with the `SpatialRegWard` method. The GeoPackage geometries are point locations reprojected to the local CRS used for each region.