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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7648009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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