nm000189
BNCI 2015-003 P300 dataset
EEG
- Size
- 20.7 MB
- Updated
- May 18, 2026
Discover datasets
100 results for "neurophysiological biomarkers" · page 8 of 10 · ranked by relevance
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- nm000313
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study S2)
EEGBigP3BCI Study S2 is a P300-based brain-computer interface dataset comprising EEG recordings from 24 healthy subjects performing a 9x8 house/tool visual speller paradigm. This derivative dataset, part of the larger bigP3BCI collection, contains standardized EEG data acquired at 256 Hz from 32 channels using g.USBamp hardware. The dataset is designed for machine learning applications and BCI research, with target and non-target event classifications annotated using HED 8.4.0 standards.
- Size
- 1.11 GB
- Updated
- Jun 3, 2026
- ds006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
EEG BEH- Participants
- 30
- nm000214
c-VEP dataset from Thielen et al. (2021)
EEGA code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements while maintaining classification performance, ultimately achieving zero-training BCI operation through neural encoding models and reconvolution techniques.
- Size
- 1.26 GB
- Updated
- Jun 3, 2026
- ds006434
exp1Diotic
EEG- Participants
- 66
- ds006839
EEG recordings during sham neurofeedback in virtual reality
EEG- Participants
- 36
- on004745
8-Channel SSVEP EEG Dataset with Artifact Trials
EEGImported from OpenNeuro ds004745
- Size
- 242 MB
- Updated
- May 23, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG- Size
- 571 MB
- Updated
- May 16, 2026
- ds004819
Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain
iEEG- Participants
- 1
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — 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 a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 64-channel EEG recordings plus 1 EOG and 1 stimulus channel at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
- Size
- 2.06 GB
- Updated
- Jun 3, 2026