ERC Socsemics – Science - EKC - 2021 - abstracts and metadata

==Context== This dataset covers all scientific articles from the field of “Environmental Kuznets curves” (EKC) until June 4, 2021.

==Main associated publication==
Menezes, T., Pottier, A., & Roth, C. (2023). The two sides of the Environmental Kuznets Curve: a socio-semantic analysis. Œconomia. History, Methodology, Philosophy, (13-2), 279-321. https://journals.openedition.org/oeconomia/15729

==Dataset scope==
This dataset covers all the articles containing the exact phrase “Environmental Kuznets curve” in the title, abstract or keywords. The search was performed on June 4, 2021 delivering 2709 articles. For each article we retrieve publicly available data: title, authors, abstract and citations. Furthermore, the dataset includes the reported positive and negative results that were detected according to the method described in the main associated publication.
The SH representation provided is compatible and can be used with the “Graphbrain” open source tool, which can be found at:
https://graphbrain.net

==Archive content==
The archive consists of two files in JSON format: “ekc-abstracts.json” and “ekc-abstracts-sh.json”. The former contains the plain text of the titles and abstracts along with metadata and other extractions in the follwing fields:
• name: article id.
• title: title in plain text.
• abstract: abstract in plain text.
• authors: list of author names.
• cites: list of ids of other articles in this dataset cited by this article.
• cited_by: list of ids of other articles in this dataset that cite this article.
• source: name of the journal where article was published.
• topics: list of identified topics.
• positive / negative: list of detected positive / negative results in plain text. • u-curve / n-curve: list of references to U-curves / N-curves in plain text.
The second file contains the SH representation of every abstract, consisting of a list of hyperedges per article id. Article ids are consistent between the two files.

==Acknowledgment of funding==
This dataset has been assembled in the framework of the ERC-supported Consolidator Grant “Socsemics” (research performed at CNRS, 2019-24), grant agreement #772743