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ClimActor, harmonized transnational data on climate network participation by city and regional governments

Cities and regions have become increasingly engaged in global climate change governance. They are pledging their own climate mitigation targets and participating in membership networks that typically are transnational in nature and engage thousands of subnational governments. Researching these growi...

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Autores principales: Hsu, Angel, Yeo, Zhi Yi, Rauber, Ross, Sun, James, Kim, Yunsoo, Raghavan, Sowmya, Chin, Nicholas, Namdeo, Vasu, Weinfurter, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648009/
https://www.ncbi.nlm.nih.gov/pubmed/33159088
http://dx.doi.org/10.1038/s41597-020-00682-0
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author Hsu, Angel
Yeo, Zhi Yi
Rauber, Ross
Sun, James
Kim, Yunsoo
Raghavan, Sowmya
Chin, Nicholas
Namdeo, Vasu
Weinfurter, Amy
author_facet Hsu, Angel
Yeo, Zhi Yi
Rauber, Ross
Sun, James
Kim, Yunsoo
Raghavan, Sowmya
Chin, Nicholas
Namdeo, Vasu
Weinfurter, Amy
author_sort Hsu, Angel
collection PubMed
description Cities and regions have become increasingly engaged in global climate change governance. They are pledging their own climate mitigation targets and participating in membership networks that typically are transnational in nature and engage thousands of subnational governments. Researching these growing trends in participation has been difficult due to the disparate and inconsistent nature of this self-reported data. To facilitate future analyses of these actors, we introduce ClimActor, the largest harmonized global dataset of more than 10,000 city and regional governments participating in networks like the Global Covenant of Mayors for Climate and Energy, C40 Cities for Climate Leadership, ICLEI Local Leaders for Sustainability, among others. We include key contextual information on each actor’s population, geographic location, and administrative jurisdiction to facilitate disambiguation of potential overlaps in actions or emissions. We also provide a series of cleaning functions based on phonetic and fuzzy string matching algorithms within an open-source R package to make it easy for anyone to immediately use the ClimActor dataset with other relevant data.
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spelling pubmed-76480092020-11-09 ClimActor, harmonized transnational data on climate network participation by city and regional governments Hsu, Angel Yeo, Zhi Yi Rauber, Ross Sun, James Kim, Yunsoo Raghavan, Sowmya Chin, Nicholas Namdeo, Vasu Weinfurter, Amy Sci Data Data Descriptor Cities and regions have become increasingly engaged in global climate change governance. They are pledging their own climate mitigation targets and participating in membership networks that typically are transnational in nature and engage thousands of subnational governments. Researching these growing trends in participation has been difficult due to the disparate and inconsistent nature of this self-reported data. To facilitate future analyses of these actors, we introduce ClimActor, the largest harmonized global dataset of more than 10,000 city and regional governments participating in networks like the Global Covenant of Mayors for Climate and Energy, C40 Cities for Climate Leadership, ICLEI Local Leaders for Sustainability, among others. We include key contextual information on each actor’s population, geographic location, and administrative jurisdiction to facilitate disambiguation of potential overlaps in actions or emissions. We also provide a series of cleaning functions based on phonetic and fuzzy string matching algorithms within an open-source R package to make it easy for anyone to immediately use the ClimActor dataset with other relevant data. Nature Publishing Group UK 2020-11-06 /pmc/articles/PMC7648009/ /pubmed/33159088 http://dx.doi.org/10.1038/s41597-020-00682-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Hsu, Angel
Yeo, Zhi Yi
Rauber, Ross
Sun, James
Kim, Yunsoo
Raghavan, Sowmya
Chin, Nicholas
Namdeo, Vasu
Weinfurter, Amy
ClimActor, harmonized transnational data on climate network participation by city and regional governments
title ClimActor, harmonized transnational data on climate network participation by city and regional governments
title_full ClimActor, harmonized transnational data on climate network participation by city and regional governments
title_fullStr ClimActor, harmonized transnational data on climate network participation by city and regional governments
title_full_unstemmed ClimActor, harmonized transnational data on climate network participation by city and regional governments
title_short ClimActor, harmonized transnational data on climate network participation by city and regional governments
title_sort climactor, harmonized transnational data on climate network participation by city and regional governments
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648009/
https://www.ncbi.nlm.nih.gov/pubmed/33159088
http://dx.doi.org/10.1038/s41597-020-00682-0
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