SWAT-informed deep learning input data for soil water prediction

This dataset contains input data used for a SWAT-informed deep learning framework for soil water prediction. The data include in-situ soil moisture observations and processed SWAT-derived hydrologic variables used to train and evaluate LSTM, attention-enhanced LSTM, Transformer, transfer-learning, and multi-site training workflows.