on005960
General Info: inst-comp-eeg
EEG
…the features -blocks of features 1 and blocks of features 2-,and…
- Participants
- 41
- Channels
- 63 (10-10)
- Size
- 57.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "time-domain features" · page 4 of 10 · ranked by relevance
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- on002578
Visual Oddball Task (256 channels)
ANAT EEGImported from OpenNeuro ds002578
- Participants
- 2
- Channels
- 256 (biosemi)
- HED
- v8.0.0
- Size
- 1.33 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- on004324
ToonFaces
EEG…We found that artificially enhanced human faces with exaggerated visual features significantly…
- Participants
- 26
- Channels
- 28 (10-10)
- Size
- 2.46 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG…Filtered data split into trials x channels x time-samples format by…
- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 73
- HED
- v8.4.0
- Size
- 673 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000345
CastillosBurstVEP40
EEG…factorial design Study domain: brain-computer interface Feedback type: none Stimulus type…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 142 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)
EEGBigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Participants
- 20
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.95 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006222
MultisensoryFlickerHealthyYoungAdults_AllSubjectsRawData
EEG[
- Size
- 14.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEG…We time-stamp the onset and offset of each word and phoneme…
- Participants
- 27
- Citations
- 42
- Size
- 99.3 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000171
BNCI 2014-002 Motor Imagery dataset
EEGThe BNCI 2014-002 Motor Imagery dataset comprises EEG recordings from 14 healthy subjects performing two-class motor imagery tasks (right hand and feet imagination) in a cue-guided Graz-BCI paradigm. Data were acquired at 512 Hz using 15 EEG channels with online Butterworth filtering and Laplacian montage, yielding 160 trials per subject with continuous visual feedback. This minimally preprocessed dataset has been benchmarked for brain-computer interface applications using machine learning classifiers including random forests and regularized linear discriminant analysis.
- Participants
- 14
- Channels
- 15 (other)
- Citations
- 89
- HED
- v8.4.0
- Size
- 553 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- on006065
TSS_iEEG
iEEG…made available under the **Public Domain Dedication and License v1.0**. Full…
- Participants
- 7
- Size
- 9.63 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026