Research paper: A genetic algorithm-based support vector machine to estimate the transverse mixing coefficient in streams.

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.针对宽范围流动条件下的横向混合系数（Transverse Mixing Coefficient，TMC），本数据集从技术文献中采集了232组数据点。需补充说明的是，其中183组数据取自顺直河道，剩余49组数据取自蜿蜒河道。此外，该数据集涵盖河道几何与水力特性相关参数，具体包括河道宽度、河道水深、平均流速、剪切流速、弗劳德数（Froude number）、蜿蜒度以及TMC。