nm000190
BNCI 2015-012 PASS2D P300 dataset
EEG
…The present work proposes a novel approach using auditory evoked potentials for…
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 84
- HED
- v8.4.0
- Size
- 2.16 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Broad-Band Visually Evoked Potentials" · page 7 of 10 · ranked by relevance
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- nm000321
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study Q)
EEGBigP3BCI Study Q is a P300-based brain-computer interface dataset comprising EEG recordings from 36 ALS subjects across 3 sessions each, using a 6x6 color intensification speller paradigm. 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 for machine learning applications. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with recordings from approximately 267 subjects across 20 studies.
- Participants
- 36
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.09 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on007615
LDAEP and resting-state EEG in healthy women
EEG…the loudness dependence of auditory evoked potentials (LDAEP). Two paradigms were recorded…
- Participants
- 69
- Channels
- 64 (10-10)
- Size
- 34.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007175
FFR-active-listening
EEGImported from OpenNeuro ds007175
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 226 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000168
BNCI 2015-013 Error-Related Potentials dataset
EEG…event-related potentials - **Frequency bands**: analyzed=[1.0, 10.0] Hz ## Cross…
- Participants
- 6
- Channels
- 64 (10-10)
- Citations
- 84
- HED
- v8.4.0
- Size
- 2.02 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005642
illusory-face-eeg
EEGThis dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.
- Participants
- 21
- Citations
- 2
- Size
- 32.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004080
CCEP ECoG dataset across age 4-51
iEEG…years old where Cortico-Cortical Evoked Potentials (CCEPs) were measured with Electro…
- Participants
- 74
- Size
- 268 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004473
sEEG Forced Two-Choice Task
ANAT BEH iEEGThis dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
- Participants
- 8
- Size
- 14.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000161
BNCI 2024-001 Handwritten Character Classification dataset
EEG…low-frequency EEG, broadband EEG, continuous kinematics decoding - **Frequency bands**: analyzed=[0…
- Participants
- 20
- Channels
- 60 (10-10)
- Citations
- 12
- HED
- v8.4.0
- Size
- 10.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000351
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)
EEGBigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
- Participants
- 19
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.46 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026