Publication Data Analysis: Authorship and CRediT Criteria in PLOS ONE

This data table compiles publication identifiers such as DOI, MAGID, and PMID, along with crucial information. It unveils the diversity of authors' countries of origin, including a harmonized list for easy comprehension. The data also includes the publication date, year of publication, and a categorization of authorship types. This categorization includes "Authorship meets the criteria defined by PLOS ONE" for those adhering to PLOS ONE's criteria, "Authorship by resources" for those attributing authorship through resources, "Not meet authorship criteria" for those not meeting authorship criteria, and finally, "APC ring" for those involved in funding schemes through Article Processing Charges. These data provide an in-depth view of authorship dynamics within the context of scientific publications.本数据表汇集了DOI、MAGID、PMID等文献标识符及关键关联信息。本数据集揭示了作者来源国的分布多样性，并附带经过统一标准化的作者来源国列表以提升可读性。此外，数据集还收录了文献出版日期、出版年份，以及作者署名类型的分类体系。该分类体系包含以下类别：一是"符合PLOS ONE期刊署名标准"，对应严格遵循PLOS ONE规范的作者；二是"基于资源贡献的署名"，对应以资源投入作为署名依据的作者；三是"未达到署名标准"，对应未满足作者署名要求的主体；最后一类为"APC资助类"，对应通过文章处理费（Article Processing Charge，APC）参与资助机制的对象。本数据集可用于深入剖析学术出版场景下的作者署名动态特征。