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on005692
SpinalExpect_NonInvasive

EEG Zarr

This dataset contains non-invasive electrophysiological recordings from the human cervical spinal cord in 30 healthy young adults, collected to test whether temporal expectation influences initial sensory processing in the spinal cord. Participants received electric median nerve stimulation at the left wrist after an auditory cue, with the cue-stimulus interval either fixed at 1100 ms or varied randomly between 100 and 2100 ms. Participants silently counted rare double-stimulus trials (80 ms ISI) and reported the count at the end of each block.

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Max-Philipp Stenner et al. OpenNeuro ds005692
on002550
Differential brain mechanisms of selection and maintenance of information during working memory (MEG data)

ANAT MEG Zarr fidelity issue

MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Romain Quentin et al. OpenNeuro ds002550
nm000291
Pan2023: Cross-session motor imagery dataset from Pan et al. 2023

EEG

A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.

Participants

14

Channels

28 (10-10)

HED

v8.4.0

Size

1018 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Lincong Pan et al.
nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)

iEEG Zarr

A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.

Participants

24

Size

8.69 GB

Version

v1.0.2

Updated

Jun 29, 2026

by Petr Nejedly et al.
on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools

EEG NIRS Zarr

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Milan Rybář et al. OpenNeuro ds004514
nm000379
Rapid coordination of effective learning by the human hippocampus: intracranial EEG during scene recognition with eye tracking

iEEG

Stereo-EEG recordings from six patients with medically refractory epilepsy performing a scene recognition memory task with concurrent EyeLink eye tracking. The dataset accompanies a study of how the human hippocampus rapidly coordinates effective learning, and is a lossless iEEG-BIDS re-packaging of the authors' public Zenodo release. It includes electrode MNI coordinates, behavioural arrays, eye-tracking files and the authors' analysis code in sourcedata.

Participants

6

Size

41.7 GB

Version

v1.0.0

Updated

Oct 8, 2026

by James E. Kragel et al.
on004563
Vicarious touch: overlapping neural patterns between seeing and feeling touch

EEG Zarr

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Sophie Smit et al. OpenNeuro ds004563
nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)

EEG

A longitudinal motor imagery EEG dataset from 18 BCI-naive participants recorded across six sessions (one offline, five online) with 22 EEG channels at 512 Hz. It supports the study of transfer learning for brain-computer interface skill acquisition, comparing unsupervised Generic Recentering and supervised Personally Assisted Recentering for calibration-free training. Participants performed left/right hand motor imagery with continuous visual feedback.

Participants

18

Channels

22 (10-10)

Citations

53

HED

v8.4.0

Size

14.4 GB

Version

v1.0.5

Updated

Oct 8, 2026

by Satyam Kumar et al.