nm000115
Zhou2016
EEG
- Participants
- 4
- Channels
- 14 (10-10)
- Citations
- 79
- Size
- 152 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "lateralized readiness potential" · page 7 of 10 · ranked by relevance
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- on004324
ToonFaces
EEG…as measured by event-related potentials (ERPs). These images elicit an enhanced…
- Participants
- 26
- Channels
- 28 (10-10)
- Size
- 2.46 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- 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
- on005007
Auditory naming task with questions that begin or end with a wh-interrogative
iEEG[
EEGThis EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
- Participants
- 34
- Channels
- 63 (10-10)
- Size
- 59.6 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on001849
RS_TMSEEG_Data
EEG[
- Size
- 44.5 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000273
OpenBMI SSVEP EEG dataset (Lee et al. 2019)
EEG…2019) ## Overview A derivative dataset of SSVEP (steady-state visually evoked potential…
- Participants
- 54
- Channels
- 62 (10-05)
- Size
- 16.9 GB
- Version
- vv1.0.2
- Updated
- Jul 10, 2026
- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 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 ALS subjects performing a 9x8 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 organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Participants
- 20
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.95 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026