on004816
EEG-attention-rsvp-exp1
EEG Zarr
[ from 15 healthy participants across three sessions. It provides 60-channel EEG at 250 Hz with 450 trials per subject and 4 s motor imagery epochs. The dataset is intended for evaluating session-to-session transfer learning in brain-computer interfaces.
- Participants
- 14
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 6.19 GB
- Version
- v1.0.4
- Updated
- Oct 16, 2026
- on004357
Features-EEG
EEG Zarr[
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on005087
rapid-hemifield-object-eeg
EEG Zarr[ — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEG ZarrEEG recordings from 54 healthy participants performing a 36-symbol ERP (P300) row-column speller task with face stimuli, collected over two sessions with offline training and online copy-spelling test phases. Data were recorded at 1000 Hz from 62 EEG channels plus 4 additional EMG channels. The dataset is part of a three-paradigm BCI collection (ERP, SSVEP, motor imagery) created to investigate BCI illiteracy and distributed with the OpenBMI toolbox.
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 100
- HED
- v8.4.0
- Size
- 132 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026
- on005692
SpinalExpect_NonInvasive
EEG Zarr…The goal was to reveal whether temporal expectation influences initial sensory processing…
- Participants
- 30
- Channels
- 24 (other)
- Size
- 92.8 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on002718
Face processing EEG dataset for EEGLAB
ANAT EEG ZarrThis dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 84
- Size
- 4.31 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
- on005416
Fatigue Characterization of EEG under Mixed Reality Stereo Vision
EEG Zarr…FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 21.3 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003620
Runabout: A mobile EEG study of auditory oddball processing in laboratory and real-world conditions
EEG ZarrRaw and pre-processed mobile EEG recordings from 44 healthy adults performing an auditory oddball task with complex tone stimuli. The task was performed in three environments of increasing complexity: a quiet laboratory, a sports field, and a university campus route. In each environment participants either counted deviant tones or ignored the tones. The dataset supports investigation of how cognitive task demands, motor demands and environmental complexity affect attentional processing, and includes the MATLAB and R analysis pipeline.
- Participants
- 44
- Channels
- 35 (10-10)
- Citations
- 32
- Size
- 89.2 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026