Calibration and validation data to build PINN-Sed: an interconnected Physics-Informed Machine Learning Model for Suspended Sediment Transport in River Network.
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资源简介：
The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an interconnected Physics-Informed Machine Learning Model for suspended sediment transport in river network (PINN-Sed) can be found here. The data includes the date, flow discharge, and total sediment concentration at each monitoring site.
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Mendeley Data创建时间：
2025-05-06
