A comprehensive framework for integrating lake hypsography and function on a global scale

1. Lake morphometry data: global lakes map data with area, predicted Zmax, Zmean, a lake morphometry dataset used to build the random forests model. 2. lake_bathymetry_and_hypsography, a list of lakes with n ERA5 data and a list of lakes >400 km2 with morphometry data. 3. resampled_Zmax_and_q: resampled Zmax and q based on the uncertainty in their prediction (Table S3) 4. Sims_subset: a data subset to carry out model simulations 5. Uberlakes_Climatic_predicted: data containing climatic region composite/uberlakes hypsography and features based on predicted Zmax and q. 6. Uberlakes_Climatic_predicted: data containing climatic region composite/uberlakes hypsography and features based on resampled Zmax and q. 7. Uberlakes_Global_predicted: data containing global composite/uberlakes hypsography and features based on predicted Zmax and q. 8. Uberlakes_Global_resampled: data containing global composite/uberlakes hypsography and features based on resampled Zmax and q. 9. Uncertainty_Stats: data containg uberlakes uncertainty statistics 10. Fig_S9_individual_lake_hypsography_predicted_relative: hypsography data for Figure S9a 11. Fig_S9_individual_lake_hypsography_resampled_relative: hypsography data data for Figure S9b 12. dynamic simulation_results: data from dynamic simulations at the regions and grid level, with table summary files, daily (dUberlake) and profile data(Uberlake)