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March 5, 2026Scientific Data0 citationsOpen Access

NEVi: Negative Emotional Video dataset – categorizing stimulus intensity ratings based on valence and arousal

HSHanne Lilian SchurigESEvelina StenderJHJulius Hennig

Key Points

  • The aim is to create a dataset that effectively categorizes negative emotional videos based on their intensity ratings.
  • Established emotional video datasets provided 112 clips eliciting negative emotions.
  • Videos were matched in short (1-sec) and long (5-sec) formats.
  • 650 international volunteers rated videos on valence and arousal.
  • Videos were categorized by intensity (low and high) based on ratings.
  • The dataset offers detailed ratings for emotional intensity.
  • CSV files contain demographics and ratings for both valence and arousal.
  • Video content is suitable for younger audiences, particularly adolescents.

Abstract

Abstract We introduce NEVi ( N egative E motional Vi deo dataset), a validated and standardized video dataset designed to evoke negative emotional responses. A total of 112 videos eliciting negative emotions were selected from established emotional video datasets. NEVi stands out by offering matched videos in two durations: short (1-sec) and long (5-sec), both individually extracted from the emotional video stimuli, taking into account the point of the highest intensity and the comprehensibility of the content. A total of 650 international, English-speaking volunteers evaluated the dataset by rating the stimuli on the dimensions of valence and arousal. Videos were categorized by intensity (low and high) based on these ratings. Particular care was taken to ensure the suitability of the video content for younger audiences, making it appropriate for use with adolescents. Results are provided as CSV files, containing participant demographics and ratings (overall and by gender) for valence and arousal. The data (CC-BY) are fully ‘open access’. Because stimuli come from third-party sources, we do not redistribute videos; instead, information is provided for reconstruction.

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Cite This Study

Schurig et al. (2026) studied this question.

synapsesocial.com/papers/69a91d6dd6127c7a504c01dehttps://doi.org/10.1038/s41597-026-06870-8
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  5. 5A standardized database of Chinese emotional short videos based on age and gender differences2023 · 10 citations