on003710
APPLESEED Example Dataset
EEG
…Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC…
- Participants
- 13
- Channels
- 32 (10-10)
- Citations
- 14
- Size
- 10.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "signal entropy" · page 3 of 10 · ranked by relevance
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- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000121
Oikonomou2016 – SSVEP MAMEM 3 dataset
EEG Zarr verified…CAR ## Signal Processing - **Classifiers**: LDA, SVM, Random Forest, kNN, Naive Bayes, CCA…
- Participants
- 11
- Channels
- 14 (10-10)
- Citations
- 39
- HED
- v8.4.0
- Size
- 277 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004483
ABSeqMEG
MEGThis dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.
- Participants
- 19
- Citations
- 5
- Size
- 23.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset
EEG Zarr verified…Systematic comparison of algorithms across all signal processing stages: (1) Signal filtering…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 38
- HED
- v8.4.0
- Size
- 9.72 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003768
Simultaneous EEG and fMRI signals during sleep from humans
ANAT EEG FUNC…Simultaneously collected EEG and BOLD signals for each participant were recorded and…
- Participants
- 33
- Citations
- 16
- Size
- 86.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005540
EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
BEH EEGEmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
- Participants
- 60
- Channels
- 64
- Citations
- 3
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006317
Chisco-2.0
EEG[
- Size
- 52.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004151
Effect of obesity on inhibitory control in preadolescents during stop-signal task. An event-related potentials study
EEG…Effect of obesity on inhibitory control in preadolescents during stop-signal task…
- Participants
- 57
- Channels
- 128 (egi-geodesic)
- Citations
- 17
- Size
- 23.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000129
Liu2020 – BETA SSVEP benchmark dataset
EEG Zarr verified…250.0 Hz ## Signal Processing - **Classifiers**: TRCA, msTRCA, FBCCA, CCA - **Feature extraction…
- Participants
- 70
- Channels
- 64 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 7.72 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026