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Code and data for: A science mapping of oil spill response research from 1971 to 2025: Implications for the benthic environment

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Zenodo2026-05-23 更新2026-05-26 收录
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This deposit holds the code, data, and supplementary files for the bibliometric review: > Goes, E. R., Brown, C. J., & Medeiros de Araújo, T. C. (2026).> *A science mapping of oil spill response research from 1971 to 2025: Implications for the benthic environment*. Environmental Monitoring and Assessment (under review). We mapped 55 years of oil spill response (OSR) research using 1,266 articles indexed in Scopus (1971–2025) and cross-referenced them with the NOAA Incident Database on potential spill volumes. The benthic angle is the focus. What's inside - `oil_spill_bibliometric_analysis.ipynb` — Jupyter notebook (Python 3.11) that runs the full pipeline: cleaning, deduplication, period assignment, geospatial integration, outlier detection, and figure generation.- `supplementary_materials/ESM_1.csv` ... `ESM_19.xlsx` — 19 files, cited in the manuscript as Online Resources 1–19: - ESM_1, ESM_2: raw Scopus retrievals (general + benthic subset) - ESM_3–9: refined datasets, split across five 11-year intervals (1971–1981, 1982–1992, 1993–2003, 2004–2014, 2015–2025) - ESM_10, ESM_11: stopword list and bibliometrix thesaurus - ESM_12: VOSviewer thesaurus - ESM_13: NOAA incident dataset (4,816 records) - ESM_14–18: top 30 most frequent words per interval - ESM_19: top 30 most frequent words for the benthic subset- `outputs/figures/` — the 11 PNG figures used in the manuscript- `README.md` — full file descriptions and step-by-step reproduction guide Reproducing the analysis Start from ESM_1, ESM_2, and ESM_13 (the three input datasets) and run the notebook end-to-end; it regenerates ESM_3–9 and all PNGfigures. Word-frequency tables (ESM_14–19) come from a separate R workflow using bibliometrix (Aria & Cuccurullo, 2017) through theBiblioshiny interface, as described in the manuscript's *Materials and methods* section. Data sources Scopus records were retrieved in January 2026 with the search string `"oil spill prevention" OR "oil spill preparedness" OR "oil spillresponse" OR "oil spill restoration"`, restricted to articles and reviews. The benthic subset adds `AND "benthic"`. Scopus content inESM_1 and ESM_2 follows Elsevier's end-user terms. NOAA incident records were obtained from the U.S. National Oceanic and Atmospheric Administration (NOAA, 2026), accessed in January 2026from https://incidentnews.noaa.gov/raw/index. How to cite Goes, E. R., Brown, C. J., & Medeiros de Araújo, T. C. (2026). *Code and data for: A science mapping of oil spill response research from 1971 to 2025: Implications for the benthic environment* [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.20358760

本数据集存储了该文献计量综述的配套代码、数据与补充文件: > Goes, E. R., Brown, C. J., & Medeiros de Araújo, T. C. (2026). *《1971—2025年溢油响应研究的科学图谱:对底栖环境的启示》*,《环境监测与评估》(待审)。 本研究针对1971至2025年间收录于Scopus数据库(Scopus)的1266篇溢油响应(Oil Spill Response, OSR)相关文献开展了55年的研究图谱绘制,并结合美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration, NOAA)事件数据库对潜在溢油规模进行交叉验证,研究聚焦底栖环境方向。 ## 内容详情 - `oil_spill_bibliometric_analysis.ipynb`:Jupyter Notebook(Python 3.11),可运行完整分析流程,涵盖数据清洗、去重、时段划分、空间地理整合、异常值检测及图表生成。 - `supplementary_materials/ESM_1.csv` 至 `ESM_19.xlsx`:共19份补充材料,正文中标注为在线资源1至19: - ESM_1、ESM_2:原始Scopus检索结果(全量数据集及底栖环境子数据集) - ESM_3至ESM_9:经筛选的细分数据集,按5个11年时段划分(1971—1981、1982—1992、1993—2003、2004—2014、2015—2025) - ESM_10、ESM_11:停用词表及bibliometrix词表 - ESM_12:VOSviewer词表 - ESM_13:NOAA事件数据集(共4816条记录) - ESM_14至ESM_18:各时段排名前30的高频词表 - ESM_19:底栖环境子数据集的排名前30的高频词表 - `outputs/figures/`:正文中使用的11张PNG格式图表 - `README.md`:完整的文件说明及分步复现指南 ## 分析复现方法 从ESM_1、ESM_2及ESM_13这三份输入数据集出发,按顺序完整运行该Notebook即可重新生成ESM_3至ESM_9及所有PNG图表。词频统计表(ESM_14至ESM_19)则通过独立的R工作流生成,该流程借助bibliometrix工具(Aria & Cuccurullo, 2017)通过Biblioshiny界面完成,具体细节见论文的“材料与方法”部分。 ## 数据来源 Scopus数据库文献于2026年1月通过检索式"oil spill prevention" OR "oil spill preparedness" OR "oil spill response" OR "oil spill restoration"检索获得,限定范围为期刊论文及综述类文献。底栖环境子数据集额外添加检索条件"AND "benthic""。ESM_1与ESM_2中的Scopus内容遵循爱思唯尔(Elsevier)终端用户使用条款。 NOAA事件数据集获取自美国国家海洋和大气管理局(NOAA, 2026),于2026年1月从https://incidentnews.noaa.gov/raw/index 下载。 ## 引用方式 Goes, E. R., Brown, C. J., & Medeiros de Araújo, T. C. (2026). *《1971—2025年溢油响应研究的科学图谱:对底栖环境的启示》配套代码与数据集* [数据集]. Zenodo. https://doi.org/10.5281/zenodo.20358760

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2026-05-23
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