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

OverviewThis 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.ContentsData/Processed_Field_Data_with_ABS.xlsxProcessed_Flow_Rate_NEW_BIG_Data_with_ABS.xlsxRaw DataNotebooks/LAB_Preprocessing-.ipynbFIELD_Preprocessing.ipynbLAB_ML.ipynbFIELD_ML.ipynbLAB_DL.ipynbFIELD_DL.ipynbModel analysis.ipynbReproducibilityRecommended environment: Python 3.x, Jupyter/ColabRun order: Preprocessing → ML→ DL→ Model analysisInputs/outputs: Excel datasets + notebook-generated figures/metrics