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The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli

The present study introduces the Extreme Climate Event Database (EXCEED), a picture database intended to induce emotionally salient stimuli reactions in the context of natural hazards associated with global climate change and related extreme events. The creation of the database was motivated by the...

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Autores principales: Magalhães, Sabrina de Sousa, Miranda, Diana Kraiser, de Miranda, Débora Marques, Malloy-Diniz, Leandro Fernandes, Romano-Silva, Marco Aurélio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147476/
https://www.ncbi.nlm.nih.gov/pubmed/30235273
http://dx.doi.org/10.1371/journal.pone.0204093
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author Magalhães, Sabrina de Sousa
Miranda, Diana Kraiser
de Miranda, Débora Marques
Malloy-Diniz, Leandro Fernandes
Romano-Silva, Marco Aurélio
author_facet Magalhães, Sabrina de Sousa
Miranda, Diana Kraiser
de Miranda, Débora Marques
Malloy-Diniz, Leandro Fernandes
Romano-Silva, Marco Aurélio
author_sort Magalhães, Sabrina de Sousa
collection PubMed
description The present study introduces the Extreme Climate Event Database (EXCEED), a picture database intended to induce emotionally salient stimuli reactions in the context of natural hazards associated with global climate change and related extreme events. The creation of the database was motivated by the need to better understand the impact that the increase in natural disasters worldwide has on human emotional reactions. This new database consists of 150 pictures divided into three categories: two negative categories that depict images of floods and droughts, and a neutral category composed of inanimate objects. Affective ratings were obtained using online survey software from 50 healthy Brazilian volunteers who rated the pictures according to valence and arousal, which are two fundamental dimensions used to describe emotional experiences. Valence refers to the appraisal of pleasantness conveyed by a stimulus, and arousal involves internal emotional activation induced by a stimulus. Data from picture rating, sex difference in affective ratings and psychometric properties of the database are presented here. Together, the data validate the use of EXCEED in research related to natural hazards and human reactions.
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spelling pubmed-61474762018-10-08 The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli Magalhães, Sabrina de Sousa Miranda, Diana Kraiser de Miranda, Débora Marques Malloy-Diniz, Leandro Fernandes Romano-Silva, Marco Aurélio PLoS One Research Article The present study introduces the Extreme Climate Event Database (EXCEED), a picture database intended to induce emotionally salient stimuli reactions in the context of natural hazards associated with global climate change and related extreme events. The creation of the database was motivated by the need to better understand the impact that the increase in natural disasters worldwide has on human emotional reactions. This new database consists of 150 pictures divided into three categories: two negative categories that depict images of floods and droughts, and a neutral category composed of inanimate objects. Affective ratings were obtained using online survey software from 50 healthy Brazilian volunteers who rated the pictures according to valence and arousal, which are two fundamental dimensions used to describe emotional experiences. Valence refers to the appraisal of pleasantness conveyed by a stimulus, and arousal involves internal emotional activation induced by a stimulus. Data from picture rating, sex difference in affective ratings and psychometric properties of the database are presented here. Together, the data validate the use of EXCEED in research related to natural hazards and human reactions. Public Library of Science 2018-09-20 /pmc/articles/PMC6147476/ /pubmed/30235273 http://dx.doi.org/10.1371/journal.pone.0204093 Text en © 2018 Magalhães et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Magalhães, Sabrina de Sousa
Miranda, Diana Kraiser
de Miranda, Débora Marques
Malloy-Diniz, Leandro Fernandes
Romano-Silva, Marco Aurélio
The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title_full The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title_fullStr The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title_full_unstemmed The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title_short The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli
title_sort extreme climate event database (exceed): development of a picture database composed of drought and flood stimuli
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147476/
https://www.ncbi.nlm.nih.gov/pubmed/30235273
http://dx.doi.org/10.1371/journal.pone.0204093
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