2026-10-15T20:14:27Z https://data.mendeley.com/oai

oai:data.mendeley.com/2mm7jmp2g5.1 2021-07-12T09:50:08Z

Nezaratian, Hosein Research paper: A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams. Mendeley Data 232 data points were collected from the technical literature from the literature for the transverse mixing coefficient for wide range of flow conditions. It must be added that 183 and 49 dataset have been collected from straight and meandering streams, respectively. In addition, the dataset contains geometrical and hydraulic characteristics, including channel width, channel depth, average velocity, shear velocity, Froude number, sinuosity, and TMC. Water Pollution Dataset doi:10.17632/2mm7jmp2g5.1 oai:data.mendeley.com/2mm7jmp2g5.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/2mm7jmp2g5 2021-07-12T09:50:08Z