SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants
- Participants
- 85
- Size
- 126 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
Showing 10 of 10 datasets
A large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
A derivative EEG dataset comprising checkerboard m-sequence-based code-modulated visual evoked potentials (c-VEP) recordings from 16 healthy participants across 8 sessions. The dataset evaluates the influence of spatial frequency in visual stimuli for brain-computer interface applications, with 16-channel EEG data sampled at 256 Hz and annotated with HED 8.4.0 event labels for two stimulus intensity classes.
NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
NEMAR Dataset nm000107: wrist - Wrist movement control from EMG