Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models.

Name: Raw data (filtration concentration & streamflow height parameters) for training MPINN-UPC model and other ML models.
Creator: Alvin Chew
License: https://creativecommons.org/licenses/by/4.0/

Citation Author(s):: Alvin Chew (Bentley Systems, Inc.)

Zhang Limao (Nanyang Technological University)
Submitted by:: Alvin Chew
Last updated:: Mon, 10/11/2021 - 06:36
DOI:: 10.21227/s994-re03
Data Format:: *.avi; *.csv; *.txt

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Categories:

Artificial Intelligence
Machine Learning
Sensors
Standards Research Data
Climate Change/Environmental
Weather

Keywords:

filtration characteristics; streamflow heights; flooding; chemical concentrations

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Abstract

This dataset contains actual field/experimental data for the following environmental engineering applications, namely:

Concentration data generated from filtration systems which treat influents, having contaminant materials, via adsorption process.
Streamflow height data collated for 50 states/cities in America for the historical period between 1900-2018.