Stream Temperature Machine Learning Review Performance Metrics Data

This resource contains performance metric data (R2, RMSE, NSE, MAE) compiled from published literature that used machine learning for stream water temperature modeling. The files in this resource were used to create the scatter plots and box plots for Figures 1 to 4 of the review paper, as well as data used to create Tables 1 and 2. and We also include supplementary tables for the sources cited. We recommend the user reads the README file to understand organization of contents. Finally, we note that these data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view, or policy.本数据集包含从已发表文献中整理得到的性能指标数据（R2、均方根误差RMSE、纳什效率系数NSE、平均绝对误差MAE），相关研究均采用机器学习方法开展河流水温建模工作。本数据集内的文件用于绘制该综述论文中图1至图4的散点图与箱线图，同时也是表1与表2的编制依据。此外，我们还补充收录了所引用文献的附表。我们建议用户查阅README文件以了解数据集的内容组织方式。 最后需要说明的是，本数据集及相关信息尚未经美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration，NOAA）正式发布，不代表任何机构的官方定论、观点或政策。