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Data · dataset · 2025

Calibration and validation data to build PINN-Sed: an interconnected Physics-Informed Machine Learning Model for Suspended Sediment Transport in River Network.

Listed in Teesside University Research Data Repository

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.

Description

The data includes the date, flow discharge, and total sediment concentration at each monitoring site.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/w6s2r2rg5y.118 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title