2018
DOI: 10.1371/journal.pone.0204093
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The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli

Abstract: 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 categori… Show more

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Cited by 9 publications
(10 citation statements)
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References 35 publications
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“…Specifically, stories that were rated more extreme in terms of valence (either more negative or more positive) were also rated as more arousing. This finding is in agreement with many previous studies (Lang & Bradley, 2007;Magalhães et al, 2018;Marchewka et al, 2014;Riegel et al, 2015;Wierzba et al, 2015). Furthermore, negative stories were rated more arousing than positive stories.…”
Section: Discussionsupporting
confidence: 93%
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“…Specifically, stories that were rated more extreme in terms of valence (either more negative or more positive) were also rated as more arousing. This finding is in agreement with many previous studies (Lang & Bradley, 2007;Magalhães et al, 2018;Marchewka et al, 2014;Riegel et al, 2015;Wierzba et al, 2015). Furthermore, negative stories were rated more arousing than positive stories.…”
Section: Discussionsupporting
confidence: 93%
“…First, we investigated the distribution of valence and arousal ratings, which are commonly used to characterise emotional stimuli (e.g. Lang & Bradley, 2007;Lehman et al, 2019;Magalhães et al, 2018;Marchewka et al, 2014;Wierzba et al, 2015Wierzba et al, , 2022. Figure 1 presents the pattern of results obtained in Studies 1-3.…”
Section: Dimensional Characteristicsmentioning
confidence: 99%
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“…Starting from this observation, we aimed to fill the gap by creating a freely accessible database of images showing the most frequent types of natural disasters. It has to be specified that some other databases have been proposed in this context, but they are either not freely accessible or focussed on one or some specific natural hazards (e.g., volcanic activities 1 ), beyond lacking of a large sample validation 2 .…”
Section: Background and Summarymentioning
confidence: 99%
“…EXCEED (Magalhães et al, 2018) is the only affective image dataset that is exclusively focused on natural disasters although it only includes pictures of drought and flood events. In comparison to many other datasets in our study, it is relatively small with only 150 stimuli but because most of them were related to natural hazards it contributed more photos to our final AFFECTS AND DISASTERS 8 stimuli than other datasets.…”
Section: The Extreme Climate Event Database (Exceed)mentioning
confidence: 99%