on003104
MNE-somato-data-bids (anonymized)
ANAT MEG Zarr
[: SEEG and MEG connectomes (derivative)
iEEG MEG…SEEG and MEG connectomes (derivative) **This is a processed-data (derivative) dataset…
- Participants
- 84
- Size
- 13.1 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000119
Oikonomou2016 – SSVEP MAMEM 1 dataset
EEG ZarrA dataset of 256-channel EEG recordings from 11 healthy adults performing an SSVEP-based BCI protocol. Participants viewed a single flickering magenta box at five stimulation frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) while EEG was recorded at 250 Hz. The data support comparative evaluation of state-of-the-art SSVEP signal-processing and classification algorithms.
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 40
- HED
- v8.4.0
- Size
- 11.4 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000121
Oikonomou2016 – SSVEP MAMEM 3 dataset
EEG ZarrSSVEP dataset (MAMEM Dataset III) of 14-channel Emotiv EPOC EEG recorded from 11 healthy, BCI-naive subjects who focused on flickering boxes at five frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz). The recordings accompany a comparative evaluation of algorithms for filtering, artifact removal, feature extraction and classification in SSVEP-based brain-computer interfaces. The data are preprocessed (5-48 Hz bandpass, 50 Hz notch, AMUSE/ICA artifact removal, common average reference) and organized in BIDS with HED annotations.
- Participants
- 11
- Channels
- 14 (10-10)
- Citations
- 35
- HED
- v8.4.0
- Size
- 277 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on005810
NOD-MEG
ANAT MEG Zarr…As a result, the NOD uniquely integrates three different modalities—fMRI, MEG…
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset
EEG ZarrA 256-channel EEG dataset from 11 healthy subjects performing an SSVEP-based brain-computer interface protocol. Participants viewed five simultaneously flickering boxes (6.66, 7.50, 8.57, 10.00, 12.00 Hz) and focused on a cued target. The recordings were collected to support comparative evaluation of filtering, artifact removal, feature extraction and classification algorithms for SSVEP BCIs.
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 37
- HED
- v8.4.0
- Size
- 9.72 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on007640
Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings
BEH MEG Zarr…3. **MEG Recording**: Comprehensive MEG neural recordings from 23 participants, who viewed…
- Participants
- 23
- Size
- 88.8 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on006012
A geometric shape regularity effect in the human brain: MEG dataset
ANAT MEG Zarr…Below are some notes about the MEG dataset of N=20 participants…
- Participants
- 21
- Citations
- 13
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026