on004854
TX18
EEG
Imported from OpenNeuro ds004854
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 3
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "OpenNeuro" · page 10 of 10 · ranked by relevance
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- nm000202
P300 dataset BI2012 from a "Brain Invaders" experiment
EEG- Participants
- 25
- Citations
- 3
- HED
- v8.4.0
- Size
- 54.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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
- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002718
Face processing EEG dataset for EEGLAB
ANAT EEGImported from OpenNeuro ds002718
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 81
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 11
- HED
- v8.4.0
- Size
- 33.6 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003800
Auditory Gamma Entrainment
EEGImported from OpenNeuro ds003800
- Participants
- 13
- Channels
- 19 (10-20)
- Size
- 364 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEGThis dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
- Participants
- 9
- Citations
- 25
- Size
- 297 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000217
P300 dataset BI2015b from a "Brain Invaders" experiment
EEGThis dataset (BI2015b) comprises EEG recordings from 44 subjects playing a visual P300-based Brain-Computer Interface videogame called Brain Invaders, collected at GIPSA-lab, Grenoble, France in 2015. Using an oddball paradigm on a 36-symbol grid, participants elicited P300 responses under three flash-duration conditions (50ms, 80ms, 110ms) across three game sessions. The dataset was reformatted into BIDS by MOABB and includes HED event annotations for Target and NonTarget stimuli, intended for benchmarking BCI decoding algorithms.
- Participants
- 44
- Channels
- 32 (10-10)
- Citations
- 9
- HED
- v8.4.0
- Size
- 8.59 GB
- Version
- v1.0.4
- Updated
- Aug 21, 2026