Distributions of the denitrifying anaerobic methane oxidation process and microorganisms in natural environments: A review

This database contained the relevant documents of the co-citation analysis (using CiteSpace) of literature on DAMO in natural environments. They include (1) the entire files for the CiteSpace project in "CiteSpace.zip" that allows repeating the CiteSpace analysis and (2) a complete list of the reference information from the co-citation analysis, including their cluster memberships, burstiness, citing frequency, degree, centrality, and sigma values. We obtained 354 citing articles from the Web of Science using keywords including “anaerobic oxidation of methane”, “anaerobic methane oxidation”, “nitrate-dependent anaerobic methane oxidation”, “nitrite-dependent anaerobic methane oxidation”, “denitrifying anaerobic methane oxidation”, “n-damo”, “damo”, “M. oxyfera”, “M. nitroreducens”, “NC10”, “ANME-2d”. The search results were refined using keywords “river”, “lake”, “reservoir”, “estuary”, “sea”, “marine”, “sediment”, “soil”, and “wetland”. The co-citation analysis by CiteSpace 6.1 R3 with Pathfinder network scaling resulted in a co-citation network of 835 nodes. We used the results to (1) understand the underlying structure and the evolving patterns of the research in DAMO in natural environments by clustering the references, (2) identify key references of important clusters with citation bursts, and (3) predict the emerging hot topics by investigating the keyword burst history.本数据库收录了针对自然环境中反硝化型厌氧甲烷氧化（DAMO）相关文献开展共被引分析（使用CiteSpace工具）所涉及的关联文档。其包含两项核心内容：① 压缩包"CiteSpace.zip"中存储的完整CiteSpace项目文件，可用于复现该共被引分析流程；② 共被引分析产出的完整参考文献信息列表，涵盖各文献的聚类归属、突现性、被引频次、节点度、中心性以及sigma值。本研究通过Web of Science数据库，以"anaerobic oxidation of methane"、"anaerobic methane oxidation"、"nitrate-dependent anaerobic methane oxidation"、"nitrite-dependent anaerobic methane oxidation"、"denitrifying anaerobic methane oxidation"、"n-damo"、"damo"、"M. oxyfera"、"M. nitroreducens"、"NC10"、"ANME-2d"为检索词，共检索得到354篇施引文献。随后以"river"、"lake"、"reservoir"、"estuary"、"sea"、"marine"、"sediment"、"soil"、"wetland"为筛选关键词对上述检索结果进行筛选优化。本研究使用CiteSpace 6.1 R3工具结合路径寻找者网络缩放算法开展共被引分析，最终构建得到包含835个节点的共被引网络。基于上述分析结果，本研究达成三项研究目标：① 通过对参考文献进行聚类分析，解析自然环境中DAMO研究领域的内在结构与演化规律；② 识别出具有被引突现特征的重要聚类中的核心参考文献；③ 通过分析关键词突现历史，预测该领域的新兴研究热点。