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Abstract：
This article presents three datasets that specifically depict scientific literature published from 2009 to 2019 and that represent the overlaps between circular economy, bioenergy, education, and communication. All datasets have been obtained through an exhaustive methodological process based on a Systematic Literature Review (SLR). To collect data, we determined 12 Boolean Operators with words related to circular economy, bioenergy, communication, and education. Then, using the Publish or Perish software, 36 queries were made in the Web of Science, Scopus, and Google Scholar databases. Once the articles were retrieved, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) mode and PRISMA checklist were applied. 74 articles were then manually selected depending on their relationship with the field. Using the DESLOCIS framework, a wide evaluation of the articles was carried out focusing on the design, data collection, and analysis techniques. Thus, the first data set contains the metadata and metrics of the publications. The second data set details the analytical framework used. The third includes the analysis of the publication\'s corpora. Together, the data presents opportunities for longitudinal studies and meta-reviews in circular economy and bioenergy areas approached from perspectives of education and communication.
摘要：
本文提供了三个数据集，这些数据集具体描述了2009年至2019年发表的科学文献，代表了循环经济之间的重叠，生物能源,教育,和沟通。所有数据集都是通过基于系统文献综述(SLR)的详尽方法学过程获得的。为了收集数据，我们用与循环经济相关的词确定了12个布尔运算符，生物能源,通信,和教育。然后，使用发布或灭亡软件，在WebofScience中进行了36次查询，Scopus,和谷歌学者数据库。一旦检索到文章，采用系统审查和荟萃分析（PRISMA）模式和PRISMA检查表的首选报告项目。然后根据它们与该领域的关系手动选择74篇文章。使用DESLOCIS框架，对文章进行了广泛的评估，重点是设计，数据收集，和分析技术。因此，第一个数据集包含发布的元数据和指标。第二个数据集详述了所使用的分析框架。第三部分包括对出版物语料库的分析。一起,这些数据提供了从教育和交流角度进行循环经济和生物能源领域纵向研究和元审查的机会。
