nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH
…They answered questions pertaining to each video after watching the videos one…
- Size
- 880 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
85 results for "video-induced emotions" · page 2 of 9 · ranked by relevance
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- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEG…They answered questions pertaining to each video after watching the videos one…
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 7.44 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000255
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 2
BEH EEG…They answered questions pertaining to each video after watching the videos one…
- Participants
- 31
- Channels
- 64 (10-10)
- Size
- 5.23 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEG…No constraints are imposed on interaction style. **Video Monitor condition (5 min…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 6.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004324
ToonFaces
EEGThis dataset comprises electroencephalographic (EEG) recordings collected during the presentation of stylized facial stimuli to investigate emotion detection and event-related potentials (ERPs). The study demonstrates that artificially enhanced faces with exaggerated visual features elicit enhanced N170 components compared to standard facial images, suggesting optimized stimulus design can improve neural correlates of emotion recognition. These findings have implications for affective brain-computer interface (BCI) development and emotion detection accuracy from EEG signals. Participant information has been anonymized.
- Participants
- 26
- Channels
- 28 (10-10)
- Size
- 2.46 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on002723
A dataset recorded during development of an affective brain-computer music interface: testing session
EEGThis dataset contains EEG recordings from 8 healthy adult participants during real-time control of an affective brain-computer music interface (BCMI). Participants listened to 60-second music clips designed to induce specific emotional states defined by valence and arousal dimensions. The dataset includes continuous EEG data sampled at 1 kHz alongside self-reported affective state ratings, enabling investigation of neural correlates of emotion and the efficacy of real-time music-based emotional state modulation.
- Participants
- 8
- Channels
- 32 (10-10)
- Size
- 2.60 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007172
EEG-Asymmetries Dataset
EEG…228 Emotions Task (“emotions”): Right Hand – Male – Angry: 111 Right Hand – Male…
- Participants
- 100
- Channels
- 32 (10-10)
- Size
- 11.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on002722
A dataset recorded during development of an affective brain-computer music interface: calibration session
EEG…J., �Identifying music-induced emotions from EEG for use in brain-computer…
- Participants
- 19
- Channels
- 32 (10-10)
- Size
- 6.10 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006902
Profound neuronal differences during Exercise-Induced Hypoalgesia between athletes and non-athletes revealed by functional near-infrared spectroscopy
NIRS…The pronounced HIIT-induced increase in oxyhemoglobin in athletes may elevate baseline…
- Participants
- 42
- Size
- 5.51 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006394
Electrophysiological markers of surprise-induced failures of visual and auditory awareness
BEH EEG[
- Size
- 521 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026