%0 Generic %A Wang, Yi %D 2023 %T Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints" %U %R 10.4121/f1c54b90-a69c-4bd5-a55d-bfa9fa16fa40.v1 %K Hydrogeology %K deep learning %K Long short-term memory networks (LSTM) %X

Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints",specifically included are water content data from 55 in situ observations for the years 2018-2020 (observation frequency of 5min or 10min), and example code for implementing LSTM and PCDL using python (mainly the tensorflow library).These data can help the reader to better understand and replicate our research

%I 4TU.ResearchData