Sub-Basin Scale Seasonal Water Scarcity in the Gongola Catchment: An Integrated Hydrological and Machine Learning Assessment – Dataset and R-scripts

This dataset supports the article “Sub-Basin Scale Seasonal Water Scarcity in the Gongola Catchment: An Integrated Hydrological and Machine Learning Assessment.” It includes machine learning model inputs and outputs for 530 sub-watersheds (HydroSHEDS Level 12), as well as sensitivity tables, water availability indices, and population exposure estimates for nine sub-watersheds (HydroSHEDS Level 6). The dataset is accompanied by R scripts to reproduce the analysis. It can be reused for hydrological modeling, machine learning applications in water resources, and climate change impact assessments at the sub-basin scale.本数据集支撑论文《贡戈拉流域子流域尺度季节性水资源短缺：水文与机器学习综合评估》。其包含530个子流域（HydroSHEDS 第12级）的机器学习模型输入与输出数据，以及9个子流域（HydroSHEDS 第6级）的敏感性表格、水资源可利用性指数与人口暴露度估算结果。本数据集附带可复现该分析流程的R脚本，可复用于子流域尺度的水文建模、水资源领域机器学习应用以及气候变化影响评估工作。