on006104
EEG dataset for speech decoding
EEG
…single phonemes, CV pairs, real words, and pseudowords - Additional TMS targets included…
- Participants
- 24
- Channels
- 61 (10-10)
- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "real-time brain imaging" · page 8 of 10 · ranked by relevance
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- on004624
Intracranial recordings using BCI2000 and the CorTec BrainInterchange
ANAT iEEGThis dataset comprises intracranial electrophysiological recordings acquired using BCI2000 software and the CorTec BrainInterchange device. The study establishes an integrated ecosystem of technologies and protocols for adaptive neuromodulation research in human subjects, combining invasive neural recordings with brain-computer interface capabilities.
- Participants
- 3
- Size
- 19.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005628
Dataset of Visual and Audiovisual Stimuli in Virtual Reality from the Edzna Archaeological Site
EEGImported from OpenNeuro ds005628
- Participants
- 102
- Channels
- 8 (10-10)
- Citations
- 1
- Size
- 633 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000133
Alljoined1
EEG- Participants
- 8
- Citations
- 6
- Size
- 7.74 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEGBigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. 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 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 426 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000183
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (FNUSA)
iEEG…should not be interpreted as real time-contiguous data across clip boundaries…
- Participants
- 14
- Size
- 20.8 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEG…should not be interpreted as real time-contiguous data across clip boundaries…
- Participants
- 24
- Size
- 15.0 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000275
Multi-channel EEG recordings during a sustained-attention driving task
EEG…Jung-Kai King - Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan…
- Participants
- 27
- Channels
- 32 (10-10)
- HED
- v8.2.0
- Size
- 36.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000348
Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
EEGA multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
- Participants
- 51
- Channels
- 59 (10-10)
- Citations
- 29
- HED
- v8.4.0
- Size
- 63.4 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on002724
A dataset recorded during development of an affective brain-computer music interface: training sessions
EEG…EEG data from an affective Music Brain-Computer Interface: online real-time…
- Participants
- 10
- Channels
- 32 (10-10)
- Size
- 8.52 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026