on005692
SpinalExpect_NonInvasive
EEG Zarr
…Non-invasive recording of high-frequency signals from the human spinal cord…
- Participants
- 30
- Channels
- 24 (other)
- Size
- 92.8 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
-
- on005691
SpinalExpect_Invasive
iEEG Zarr…Lead placement alongside the cervical spinal cord varied across patients. In each…
- Participants
- 8
- Size
- 722 MB
- on005307
Laser-evoked potentials in the human spinal cord and cortex
EEG Zarr[
- Size
- 18.6 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000312
Alawieh2025: Motor-imagery BCI dataset with transcutaneous spinal stimulation
EEG…able-bodied and spinal cord injury Clinical population: 25 able-bodied, 2…
- Participants
- 27
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 3.53 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000149
BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients
EEG Zarr…spinal cord injury - **Age**: mean=49.8, min=20, max=78 - **Gender…
- Participants
- 10
- Channels
- 61 (10-05)
- Citations
- 96
- HED
- v8.4.0
- Size
- 4.51 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on004388
Somatosensory evoked potentials in the human spinal cord to mixed nerve stimulation
EEG Zarr[
- Citations
- 2
- Size
- 683 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on004389
Somatosensory evoked potentials in the human spinal cord to mixed and sensory nerve stimulation
EEG Zarr[
- Citations
- 1
- Size
- 377 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- nm000307
Perdikis2018: CNBI EPFL Cybathlon BCI-race motor-imagery dataset
EEG…spinal cord injury Clinical population: tetraplegia (chronic spinal cord injury) BCI experience…
- Participants
- 2
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 5.30 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000144
BNCI 2015-004 Mental tasks dataset
EEG Zarr…stroke and spinal cord injury - **Age**: mean=38.0, std=10.0…
- Participants
- 9
- Channels
- 30 (10-10)
- Citations
- 78
- HED
- v8.4.0
- Size
- 2.74 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000314
MartinezPeon2024: Kinesthetic motor imagery at graded force levels
EEGEEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.
- Participants
- 10
- Channels
- 14 (10-10)
- HED
- v8.4.0
- Size
- 54.7 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026