{"title":"Ecosystems and ordering: A dataset.","authors":"Cristiana Maglia, Elana Wilson Rowe","doi":"10.1016/j.dib.2024.111085","DOIUrl":null,"url":null,"abstract":"<p><p>The dataset presented here is connected to the article \"Ecosystems and Ordering: Exploring the Extent and Diversity of Ecosystem Governance,\" offering data about cooperation initiatives around 221 cross-bordered ecosystems. This sample of cases was selected from a list of 1525 \"meta-ecosystems\" catalogued by the World Wide Fund for Nature (WWF) and a team of scientists (terrestrial ecosystems, [6]; freshwater ecosystems, [2]; and marine ecosystems, [9]). The 221 ecosystems were selected because they are shared by four or more bordering countries. Departing from this unit of analysis, we researched the cooperative cross-border governance anchored in each ecosystem and categorized each of these based on the level and type of cooperation. In generating this dataset, our coding scheme was designed to also capture cases of non-cooperation: when our search protocol did not result in the identification of any initiative for an ecosystem, the ecosystem was coded as a \"zero case.\" When we found initiatives connected to the ecosystems, our coding typology specifically classified cooperation initiatives along two dimensions: cooperation geographical scope and cooperation scope (single or multi-issue). The dataset presents ecosystem-anchored cooperation initiatives, as well as wider initiatives that may address ecosystem issues, to systematically attend to the question of the extent to which and in which form ecosystems are addressed in transboundary governance efforts. The dataset allows for further study of ecosystemic governance patterns, enabling analysis of the causes and consequences of cooperation, since it can be easily integrated with both the ecosystem and state-level data. The dataset is presented in two .csv files and has been handled with R software in order to present the visualization.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111085"},"PeriodicalIF":1.0000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11609675/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The dataset presented here is connected to the article "Ecosystems and Ordering: Exploring the Extent and Diversity of Ecosystem Governance," offering data about cooperation initiatives around 221 cross-bordered ecosystems. This sample of cases was selected from a list of 1525 "meta-ecosystems" catalogued by the World Wide Fund for Nature (WWF) and a team of scientists (terrestrial ecosystems, [6]; freshwater ecosystems, [2]; and marine ecosystems, [9]). The 221 ecosystems were selected because they are shared by four or more bordering countries. Departing from this unit of analysis, we researched the cooperative cross-border governance anchored in each ecosystem and categorized each of these based on the level and type of cooperation. In generating this dataset, our coding scheme was designed to also capture cases of non-cooperation: when our search protocol did not result in the identification of any initiative for an ecosystem, the ecosystem was coded as a "zero case." When we found initiatives connected to the ecosystems, our coding typology specifically classified cooperation initiatives along two dimensions: cooperation geographical scope and cooperation scope (single or multi-issue). The dataset presents ecosystem-anchored cooperation initiatives, as well as wider initiatives that may address ecosystem issues, to systematically attend to the question of the extent to which and in which form ecosystems are addressed in transboundary governance efforts. The dataset allows for further study of ecosystemic governance patterns, enabling analysis of the causes and consequences of cooperation, since it can be easily integrated with both the ecosystem and state-level data. The dataset is presented in two .csv files and has been handled with R software in order to present the visualization.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.