Data and Code for Bibliometric and Evidence-Mapping Analysis of Emerging Contaminants in Agricultural Soil–Water Systems

This repository provides the data, code, and output files used to reproduce a bibliometric and evidence-mapping analysis of emerging contaminants in agricultural soil–water systems. The dataset was constructed from Web of Science records and processed through a reproducible workflow including record merging, deduplication, document-type filtering, rule-based title–abstract screening, manual review integration, and final dataset generation. The repository is organized to support full computational reproducibility. Raw Web of Science plain-text records are stored in data/raw_data; intermediate and manually reviewed files are stored in data/processed_data; the final analysis-ready dataset is stored in data/final_analysis_data; R scripts are stored in code; and generated tables, figures, and analytical objects are stored in results. The analysis workflow includes annual publication trends, country and institutional production, journal and author productivity, contaminant-type classification, agricultural source and pathway extraction, keyword frequency and co-occurrence analysis, thematic mapping, evidence-matrix construction, and candidate low-evidence area identification. This archive is intended to accompany the associated manuscript and to facilitate transparent verification, reuse, and extension of the bibliometric and evidence-mapping workflow.本仓库提供了用于复现农业土壤-水系统新兴污染物文献计量与证据图谱分析的数据集、代码及输出文件。该数据集源自科学引文索引数据库（Web of Science）的文献记录，并通过可复现工作流完成处理，流程涵盖记录合并、去重、文献类型筛选、基于规则的标题-摘要筛查、人工审核整合及最终数据集生成。 本仓库的架构设计旨在支持完整的计算可复现性：原始科学引文索引数据库（Web of Science）纯文本记录存储于data/raw_data目录；中间产物与人工审核文件存储于data/processed_data目录；最终可供分析的数据集存储于data/final_analysis_data目录；R脚本存储于code目录；生成的表格、图表与分析对象存储于results目录。 本分析工作流涵盖年度发文趋势分析、国家与机构产出统计、期刊与作者生产力分析、污染物类型分类、农业污染源与传播路径提取、关键词频率与共现分析、主题图谱绘制、证据矩阵构建以及候选低证据区域识别。 本归档文件旨在配合相关学术论文发布，便于对该文献计量与证据图谱分析工作流进行透明化验证、复用与拓展。