Data and Code for Transfer-Aware Multi-Contaminant Groundwater-Quality Screening and National-Scale Monitoring Prioritization

This dataset provides the curated data products, model-ready matrices, derived results, and reproducible code supporting a transfer-aware, multi-contaminant groundwater-quality screening framework. The study integrates public groundwater-quality observations, benchmark exceedance labels, hydroclimatic variables, soil properties, land-cover indicators, and spatial validation outputs to evaluate contaminant-specific and multi-contaminant risks across monitored groundwater systems. The archive is organized into three main components. The raw_data folder provides source links, access notes, and source inventories for the public datasets used in the study; full raw source files are not redistributed because they remain governed by their original providers. The result_data folder contains processed analytical tables, model inputs, trained-model outputs, validation summaries, attribution results, and monitoring-priority support files. The core_code folder contains the main scripts, environment specifications, and reproduction notes needed to rebuild the processed datasets and model outputs from the documented source data. These materials are intended to support transparency, reproducibility, and reuse of the analytical workflow. They can be used to reproduce the main model-development, validation, interpretation, and monitoring-prioritization steps, or to adapt the workflow to related groundwater-quality screening and surveillance applications.本数据集提供精选数据集产品、可直接用于模型的矩阵数据、衍生分析结果与可复现代码，用于支撑迁移感知的多污染物地下水质量筛查框架。本研究整合公开地下水质量观测数据、基准超标标签、水文气候变量、土壤属性、土地覆盖指标与空间验证结果，以评估监测地下水系统内的单污染物及多污染物风险。 该数据集归档分为三大核心模块。raw_data 文件夹提供本研究所用公开数据集的来源链接、获取说明与来源清单；由于原始源文件仍受原提供方版权约束，故未对其进行全量重分发。result_data 文件夹包含处理后的分析表格、模型输入数据、训练模型输出结果、验证汇总报告、归因分析结果以及监测优先级支撑文件。core_code 文件夹包含从已记录的源数据重建处理后数据集与模型输出所需的核心脚本、环境配置规范与复现说明文档。 本套材料旨在提升分析流程的透明度、可复现性与可复用性，可用于复现模型开发、验证、解读及监测优先级排序等核心步骤，也可适配至相关地下水质量筛查与监测应用场景。