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Two-wave panel survey dataset on who feels affected by Hurricane Florence

Feeling affected by climate change related natural disasters is an important predictor of engaging in climate change mitigation behavior. We therefore collected data to identify who felt affected by Hurricane Florence, which made landfall in the United States on September 14(th), 2018. In the months...

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Detalles Bibliográficos
Autores principales: Andrews, Talbot M., Smirnov, Oleg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548421/
https://www.ncbi.nlm.nih.gov/pubmed/33072829
http://dx.doi.org/10.1016/j.dib.2020.106361
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author Andrews, Talbot M.
Smirnov, Oleg
author_facet Andrews, Talbot M.
Smirnov, Oleg
author_sort Andrews, Talbot M.
collection PubMed
description Feeling affected by climate change related natural disasters is an important predictor of engaging in climate change mitigation behavior. We therefore collected data to identify who felt affected by Hurricane Florence, which made landfall in the United States on September 14(th), 2018. In the months before Hurricane Florence, we collected survey responses from a nationally representative sample of United States citizens. We measured their attitudes towards climate change, emotional predispositions, and demographic information. Then, in the days after the hurricane, we re-contacted respondents to identify whether or not they felt personally affected by Hurricane Florence. These data can be used first to identify variables associated with climate change attitudes, and second to identify the traits that predispose individuals to feel affected by climate change related disasters.
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spelling pubmed-75484212020-10-16 Two-wave panel survey dataset on who feels affected by Hurricane Florence Andrews, Talbot M. Smirnov, Oleg Data Brief Data Article Feeling affected by climate change related natural disasters is an important predictor of engaging in climate change mitigation behavior. We therefore collected data to identify who felt affected by Hurricane Florence, which made landfall in the United States on September 14(th), 2018. In the months before Hurricane Florence, we collected survey responses from a nationally representative sample of United States citizens. We measured their attitudes towards climate change, emotional predispositions, and demographic information. Then, in the days after the hurricane, we re-contacted respondents to identify whether or not they felt personally affected by Hurricane Florence. These data can be used first to identify variables associated with climate change attitudes, and second to identify the traits that predispose individuals to feel affected by climate change related disasters. Elsevier 2020-09-29 /pmc/articles/PMC7548421/ /pubmed/33072829 http://dx.doi.org/10.1016/j.dib.2020.106361 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Andrews, Talbot M.
Smirnov, Oleg
Two-wave panel survey dataset on who feels affected by Hurricane Florence
title Two-wave panel survey dataset on who feels affected by Hurricane Florence
title_full Two-wave panel survey dataset on who feels affected by Hurricane Florence
title_fullStr Two-wave panel survey dataset on who feels affected by Hurricane Florence
title_full_unstemmed Two-wave panel survey dataset on who feels affected by Hurricane Florence
title_short Two-wave panel survey dataset on who feels affected by Hurricane Florence
title_sort two-wave panel survey dataset on who feels affected by hurricane florence
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548421/
https://www.ncbi.nlm.nih.gov/pubmed/33072829
http://dx.doi.org/10.1016/j.dib.2020.106361
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