on003800
Auditory Gamma Entrainment
EEG
Imported from OpenNeuro ds003800
- Participants
- 13
- Channels
- 19 (10-20)
- Size
- 364 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "high-density EEG" · page 10 of 10 · ranked by relevance
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- on005292
142 by Biosemi
EEG…low pain) and 3.5J (high pain), while participants 136-142 received…
- Participants
- 142
- Channels
- 64 (10-10)
- Size
- 116 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEGThe HID dataset is a neuroimaging collection of intracranial electroencephalography (iEEG) recordings curated and formatted according to BIDS standards (version 1.8.0). This dataset is derived from OpenNeuro dataset ds004851 (DOI: 10.18112/openneuro.ds004851.v2.1.0) and serves as a resource for neuroscience research on electrophysiological brain activity. The dataset is made available under the CC0 license to facilitate open science and data sharing. It contains iEEG recordings with associated metadata documenting electrode placement, recording parameters, sampling rates, and brain regions of interest.
- Participants
- 66
- Channels
- 72 (10-10)
- Citations
- 2
- Size
- 56.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)
EEGBigP3BCI Study D is a P300-based brain-computer interface dataset comprising EEG recordings from 17 healthy subjects performing a 6x6 character grid speller task. The dataset contains single-session recordings acquired at 256 Hz using 32-channel EEG with standard 10-20 montage, annotated with target and non-target event labels. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is formatted according to BIDS standards with HED event annotations for machine learning applications.
- Participants
- 17
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.41 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEG…By using a natural story with high-fidelity, invasive neural recordings, this…
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000277
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study G)
EEGBigP3BCI Study G is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is one of 20 studies in the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects total. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004252
Rotation-tolerant representations elucidate the time course of high-level object processing
EEG…Rotation-tolerant representations elucidate the time course of high-level object processing…
- Participants
- 16
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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 subjects performing a 9x8 multi-face 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 formatted according to BIDS standards with HED event annotations for standardized analysis and machine learning applications.
- Participants
- 20
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 6.59 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…https://github.com/LTU-Machine-Learning/Inner_Speech_EEG_FMRI Publication available…
- Participants
- 4
- Channels
- 64 (10-10)
- Citations
- 27
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005280
223 By BP
EEG…pain) and 3.5J / 4J (high pain). Each participant underwent stimulation in…
- Participants
- 223
- Channels
- 64 (10-10)
- Size
- 137 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026