Data for Quantification of Suspended Sediment Concentration Using Machine Learning Models

This data repository is the data used for the paper entitled "Quantification of Suspended Sediment Concentration Using Machine Learning Model". A controlled dataset of approximately 1300 images with SSC values ranging from 1000 mg/L to 150,000 mg/L was developed, incorporating temperature, time of image capture, and solar irradiance as additional features. The images along with the measured suspended sediment concentrations are included.For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to [e-mail]