Psychophysiology of positive and negative emotions, dataset of 1157 cases and 8 biosignals
Subjective experience and physiological activity are fundamental components of emotion. There is an increasing interest in the link between experiential and physiological processes across different disciplines, e.g., psychology, economics, or computer science. However, the findings largely rely on s...
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Published in | Scientific data Vol. 9; no. 1; p. 10 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
20.01.2022
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | Subjective experience and physiological activity are fundamental components of emotion. There is an increasing interest in the link between experiential and physiological processes across different disciplines, e.g., psychology, economics, or computer science. However, the findings largely rely on sample sizes that have been modest at best (limiting the statistical power) and capture only some concurrent biosignals. We present a novel publicly available dataset of psychophysiological responses to positive and negative emotions that offers some improvement over other databases. This database involves recordings of 1157 cases from healthy individuals (895 individuals participated in a single session and 122 individuals in several sessions), collected across seven studies, a continuous record of self-reported affect along with several biosignals (electrocardiogram, impedance cardiogram, electrodermal activity, hemodynamic measures, e.g., blood pressure, respiration trace, and skin temperature). We experimentally elicited a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. Psychophysiology of positive and negative emotions (POPANE) database is a large and comprehensive psychophysiological dataset on elicited emotions.
Measurement(s)
affect • hemodynamic measures • electrodermal activity • fingertip skin temperature • Respiratory Pattern
Technology Type(s)
electronic rating scale • electrocardiography • impedance cardiography • hemodynamic measurement • electrodermal activity measurement • skin temperature sensor • Piezo-electric belt
Factor Type(s)
elicited emotion
Sample Characteristic - Organism
Homo sapiens
Sample Characteristic - Environment
laboratory environment
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.17061512 |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-021-01117-0 |