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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: ZENODO
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Claim

Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses.

Research datakeyboard_double_arrow_right Dataset 19 Feb 2022Publisher:Zenodo
Authors: Chua, Phoebe; Makris, Dimos; Herremans, Dorien; Roig, Gemma; Agres, Kat;

doi: 10.5281/zenodo.7128177 , 10.5281/zenodo.7128176

Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses.

Abstract

The dataset to accompany the paper by Phoebe Chua, Dr. Dimos Makris, Prof. Dorien Herremans, Prof. Gemma Roig, and Prof. Kat Agres on Predicting emotion from music videos: exploring the relative contribution of visual and auditory information on affective responses.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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