nm000154
on001787
EEG
- Participants
- 24
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
Discover datasets
Showing 10 of 13 datasets · page 1 of 2
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- 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, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Participants
- 23
- Size
- 60.8 GB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- nm000323
Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGThis EEG dataset comprises recordings from 54 healthy participants performing a P300-based copy-spelling task using a 36-symbol row-column speller paradigm. The dataset includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with offline training and online test phases designed to investigate BCI illiteracy. Data are provided in BIDS format with HED event annotations and represent a benchmark resource for evaluating brain-computer interface performance across different user populations.
- Participants
- 54
- Size
- 38.6 GB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification
EEGThis open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.
- Participants
- 29
- Size
- 1.87 GB
- Version
- v1.0.1
- Updated
- Jun 3, 2026
- nm000231
P300 dataset from Hoffmann et al 2008
EEGA P300-based brain-computer interface dataset comprising EEG recordings from 8 subjects (4 disabled, 4 able-bodied) performing a visual oddball task with image stimuli. The dataset includes 32-channel EEG data sampled at 2048 Hz from 4 sessions per subject, with 810 total trials per subject (135 targets, 675 non-targets) classified using Fisher's linear discriminant analysis and Bayesian linear discriminant analysis. This derivative dataset demonstrates high classification accuracy (100%) and information transfer rates suitable for BCI applications in disabled populations.
- Participants
- 8
- Size
- 1.94 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000156
Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
EEG- Participants
- 37
- Size
- 2.59 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG- Participants
- 12
- Size
- 1.61 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
- nm000149
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients
EEG- Participants
- 10
- Size
- 1.20 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
- nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG- Participants
- 30
- Size
- 975 MB
- Version
- v1.0.0
- Updated
- May 25, 2026
- nm000146
Motor Imagery dataset from Weibo et al 2014
EEG- Participants
- 10
- Size
- 1.60 GB
- Version
- v1.0.0
- Updated
- May 25, 2026