on005107
FACE-DEC
BEH MEG Zarr
…facial point clouds and structural MRIs were not collected due to the…
- Participants
- 21
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
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- on004012
BRAR_NQ
MEGMEG recordings from the BRAR_NQ study, which examines neural responses in the human brain to melodic recitation of the Noble Qur'an. The dataset is organized in BIDS format and was collected by the Universiti Sains Malaysia neuroscience research group as part of work on brain reward and anti-reward circuitry.
- Participants
- 30
- Size
- 78.3 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on003061
EEG data from an auditory oddball task
EEG Zarr…The project was approved by the local MRI Indian ethical committee and…
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 7
- HED
- v8.0.0
- Size
- 2.31 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- nm000167
Motor imagery dataset from Ma et al. 2020
EEG ZarrEEG recordings from 25 healthy, BCI-naive right-handed participants performing motor imagery of two joints of the same limb (right hand and right elbow). Each participant completed 15 sessions over 3 days, giving 600 trials with 62-channel EEG sampled at 1000 Hz plus EOG. The dataset supports research on decoding fine-grained motor imagery within the same limb for motor rehabilitation and prosthetic control BCIs.
- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 51
- HED
- v8.4.0
- Size
- 53.8 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003522
EEG: Three-Stim Auditory Oddball and Rest in Acute and Chronic TBI
EEG Zarr…was the only session with MRI. (MRI will be uploaded ...later). Session…
- Participants
- 96
- Channels
- 65 (10-10)
- Citations
- 25
- Size
- 25.4 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on003392
NeuroSpin hMT+ Localizer DATA (MEG & aMRI)
ANAT MEG Zarr…Bad MEG channels were marked manually. ## MRI The T1 weighted aMRI was…
- Participants
- 12
- Citations
- 31
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEG ZarrNeuroMorph is a magnetoencephalography (MEG) dataset with high temporal resolution, designed for morpheme-based linguistic analysis. It contains recordings from 24 participants, totaling over 17 hours of data, acquired with a 208-channel KIT/Yokogawa magnetometer system. The dataset supports research on the neural processing of morphology during language comprehension.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000296
MIMED2024: Motor Imagery MIMED dataset from Wirawan et al. 2024
EEGEEG recordings of motor imagery and motor execution for six activities (raising and lowering each hand, standing and sitting) from 30 healthy participants over two sessions. Data were acquired with a 14-channel Emotiv EPOC X headset at 128 Hz. This BIDS re-release, produced via MOABB, exposes a 3-class imagery task (left hand, right hand, trunk) for brain-computer interface research. The distributed imagery files carry no per-repetition activity label, so only folder-level 3-class labels are available.
- Participants
- 30
- Channels
- 14 (10-10)
- HED
- v8.4.0
- Size
- 41.2 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000355
Stolk et al. 2018 FieldTrip iEEG protocol dataset (SubjectUCI29): authors' preprocessed ECoG+SEEG epochs
iEEG…That covers the pre-implant MRI, the post-implant MRI, the CT…
- Participants
- 1
- Size
- 295 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on005810
NOD-MEG
ANAT MEG ZarrNOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026