on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEG
Imported from OpenNeuro ds004745
- Citations
- 26
- Size
- 242 MB
- Updated
- May 23, 2026
Discover datasets
98 results for "cortical excitability" · page 8 of 10 · ranked by relevance
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- ds003885
Capacity for movement is a major organisational principle in object representations: EEG data from Experiment 2
EEG- Participants
- 24
- ds004473
sEEG Forced Two-Choice Task
iEEG MRI- Participants
- 8
- ds003887
Capacity for movement is a major organisational principle in object representations: EEG data from Experiment 3
EEG- Participants
- 24
- on005515
Healthy Brain Network (HBN) EEG - Release 10
EEGImported from OpenNeuro ds005515
- Size
- 317 GB
- Updated
- May 25, 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 using dynamic row-column stimulus presentation. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is designed for machine learning model development and benchmarking in brain-computer interface research.
- Size
- 731 MB
- Updated
- Jun 3, 2026
- ds004502
Anticipatory differences between Attention and Expectation
EEG- Participants
- 48
- on005516
Healthy Brain Network (HBN) EEG - Release 11
EEGImported from OpenNeuro ds005516
- Citations
- 1
- Size
- 427 GB
- Updated
- May 25, 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.
- Size
- 426 MB
- Updated
- Jun 3, 2026
- ds004324
ToonFaces
EEG- Participants
- 26