ADCP-Based Proxy Sediment Transport Monitoring – Data and Code Archive

Overview This release provides a citable, reproducible snapshot of the workflow used for ADCP-based preprocessing and ML/DL experiments to predict bottom-track velocity (BT_Vel) from ADCP signal/quality and hydraulic features. Contents Data/ Processed_Field_Data_with_ABS.xlsx Processed_Flow_Rate_NEW_BIG_Data_with_ABS.xlsx Raw Data Notebooks/ LAB_Preprocessing-.ipynb FIELD_Preprocessing.ipynb LAB_ML.ipynb FIELD_ML.ipynb LAB_DL.ipynb FIELD_DL.ipynb Model analysis.ipynb Reproducibility Recommended environment: Python 3.x, Jupyter/Colab Run order: Preprocessing → ML→ DL→ Model analysis Inputs/outputs: Excel datasets + notebook-generated figures/metrics