nm000202
P300 dataset BI2012 from a "Brain Invaders" experiment
EEG Zarr verified
- Participants
- 25
- Citations
- 3
- HED
- v8.4.0
- Size
- 54.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "EEG classification" · page 7 of 10 · ranked by relevance
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- nm000261
Imagined speech EEG dataset — vowels condition (Nguyen et al. 2017)
EEG…2017) ## Overview This dataset comprises preprocessed EEG recordings from 8 healthy subjects…
- Participants
- 8
- Channels
- 60 (10-10)
- Citations
- 96
- HED
- v8.4.0
- Size
- 2.58 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000166
M3CV: Multi-subject, Multi-session, Multi-task EEG Database
EEG Zarr verified64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
- Participants
- 95
- Channels
- 64 (10-10)
- Citations
- 28
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000163
c-VEP and Burst-VEP dataset from Castillos et al. (2023)
EEG Zarr verified…offline classification, iterative calibration (1-6 blocks) ## Performance (Original Study) - **Accuracy**: 95…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 158 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 99
- HED
- v8.4.0
- Size
- 121 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- nm000143
BNCI2003_IVa Motor Imagery dataset
EEG Zarr verified…Boosting bit rates in non-invasive EEG single-trial classifications by feature…
- Participants
- 5
- Channels
- 118 (10-05)
- Citations
- 86
- HED
- v8.4.0
- Size
- 735 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEG…2017) ## Overview This dataset comprises preprocessed EEG recordings from 6 healthy participants…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004279
Large Spanish EEG
EEG…EEG channels and developed a neural network capable of subject-independent classification…
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000217
P300 dataset BI2015b from a "Brain Invaders" experiment
EEGThis dataset (BI2015b) comprises EEG recordings from 44 subjects playing a visual P300-based Brain-Computer Interface videogame called Brain Invaders, collected at GIPSA-lab, Grenoble, France in 2015. Using an oddball paradigm on a 36-symbol grid, participants elicited P300 responses under three flash-duration conditions (50ms, 80ms, 110ms) across three game sessions. The dataset was reformatted into BIDS by MOABB and includes HED event annotations for Target and NonTarget stimuli, intended for benchmarking BCI decoding algorithms.
- Participants
- 44
- Channels
- 32 (10-10)
- Citations
- 9
- HED
- v8.4.0
- Size
- 8.59 GB
- Version
- v1.0.4
- Updated
- Aug 21, 2026
- on005398
Open iEEG Dataset (Pediatric iEEG, Wayne State University and UCLA)
iEEG…Derivatives The processed data for HFO detection and classification are shown in…
- Participants
- 185
- Citations
- 14
- Size
- 165 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026