Here are some datasets from work that the research group has done. Please cite when using!
Groundwater withdrawals over Kansas (predicted with machine learning and observed) from 2002-2019
Observed groundwater withdrawals and ancillary data for predictions: https://github.com/montimaj/HydroMST/tree/master/Inputs/Files_Apr_Sept/Actual_GW_Rasters
Predicted groundwater withdrawals: https://github.com/montimaj/HydroMST/tree/master/Outputs/Output_Apr_Sept/Predicted_Rasters
Citation: Majumdar, S., Smith, R., Butler Jr, J. J., & Lakshmi, V. (2020). Groundwater withdrawal prediction using integrated multitemporal remote sensing data sets and machine learning. Water Resources Research, 56(11), e2020WR028059.
Airborne electromagnetic soundings at three locations in the San Joaquin Valley, CA
Citation: Smith, R., & Knight, R. (2019). Modeling land subsidence using InSAR and airborne electromagnetic data. Water Resources Research, 55, 2801– 2819. https://doi.org/10.1029/2018WR024185