Abstract. This study proposes a comprehensive benchmark dataset for streamflow forecasting, WaterBench-Iowa, that follows FAIR (findability, accessibility, interoperability, and reuse) data principles is prepared with focus on convenience utilizing in data-driven machine learning studies, provides performance state of art deep architectures the comparative analysis. By aggregating datasets stre...

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