Discover datasets

This dataset contains raw EEG and transcranial magnetic stimulation (TMS) data from healthy adults, collected to test real-time, personalized brain state-dependent stimulation. Whole-brain activity patterns were decoded in real time to predict activation of the corticospinal tract, with motor evoked potentials as the outcome measure. The companion publication (Khatri, Pulliam, Manesiya, Cortez, Millán and Hussain, 'Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time', Brain Stimulation, 2024) is in press and has no DOI yet.

Participants

19

Channels

70 (10-10)

Size

88.7 GB

Version

v1.0.0

Updated

Jun 18, 2026

Stereo-EEG depth recordings from 11 patients with medically refractory temporal lobe epilepsy, collected at Sanbo Brain Hospital in Beijing. Recordings cover learning of object-location associations and targeted memory reactivation (TMR) with sounds during NREM sleep. The data were used to study electrophysiological signatures of variability in human memory consolidation. They are re-packaged in iEEG-BIDS from the authors' Zenodo release without filtering, resampling or re-referencing.

Participants

11

Size

17.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

Intraoperative EEG recordings of somatosensory evoked potentials (SEP) elicited by median and tibial nerve stimulation at eight different stimulus repetition rates. The dataset includes 14 adult and 4 pediatric subjects, with continuous EEG split into sessions by nerve and side and into runs by stimulation rate. Processed derivatives are also provided. The data were used to assess how stimulation rate affects the signal-to-noise ratio of short-duration SEP recordings.

Participants

18

Channels

4 (other)

Citations

5

Size

12.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG recordings from 12 healthy participants performing three-class motor imagery of the same upper extremity: rest, hand grasping, and elbow flexion. Each participant completed 4 sessions of 20 trials per class, recorded with a 32-channel EGI HydroCel net at 1000 Hz. The dataset supports research on brain-computer interface classification of imagined movements within one limb, for example for rehabilitation and motor control.

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

Ultra high-density 128-channel EEG recorded from 18 individuals with migraine (interictal) and 21 healthy controls. Recordings include steady-state visual evoked potential (SSVEP) and steady-state auditory evoked potential (SSAEP) tasks at 4 and 6 Hz, as well as eyes-open resting state. The data support analyses of cortical coherence abnormalities in migraine.

Participants

39

Channels

130 (10-05)

Size

26.8 GB

Version

v1.0.0

Updated

Oct 8, 2026

A multi-session, multi-task EEG dataset for passive brain-computer interface research, collected from 15 healthy participants across two sessions. Recordings include resting state and three difficulty levels (easy, medium, difficult) of the MATB-II multitasking environment, recorded with 62 active electrodes at 500 Hz. The dataset supports cross-session and cross-subject mental workload estimation and neuroergonomics applications.

Participants

15

Channels

61 (10-10)

Citations

73

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

A mobile EEG motor imagery dataset from two pilots, one tetraplegic and one able-bodied, recorded during development of the neuroTUM brain-computer interface for the 2024 Cybathlon BCI race. Data were acquired with a 24-channel wireless Smarting mobi system at 250 Hz using an arrow-cue paradigm with subject-specific sets of three mental tasks (rest, hand and/or foot motor imagery). The dataset is re-released in BIDS format with HED annotations via MOABB.

Participants

2

Channels

24 (10-10)

HED

v8.4.0

Size

408 MB

Version

v1.0.0

Updated

Oct 8, 2026

Raw MEG dataset with T1-weighted anatomical scans and behavioural logfiles from an audiovisual speech memory experiment. Participants completed repeated blocks of encoding (audiovisual synchrony detection on speech movies), a distractor task, and cued retrieval of the auditory speech associated with a speaker's face. The data support analyses of neocortical and hippocampal theta oscillations in audiovisual integration and memory replay.

Participants

30

Citations

7

Size

172 GB

Version

v1.0.0

Updated

Jun 28, 2026

A preprocessed derivative EEG dataset from BCI Competition 2020 Track 4, containing motor imagery recordings of three right-arm grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. It provides 60-channel EEG at 250 Hz with 450 trials per subject, and is intended for evaluating session-to-session transfer learning in brain-computer interfaces. Data were notch filtered and epoched to the 4 s motor imagery window, and re-hosted in BIDS format via MOABB.

Participants

14

Channels

60 (10-10)

HED

v8.4.0

Size

2.76 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains epidural electrocorticography (ECoG) recordings from a single participant with incomplete tetraplegia, implanted with the WIMAGINE wireless chronic implant over left primary motor and sensory cortex. The participant executed or imagined right-arm reaching and wrist-extension movements, either singly or simultaneously (one executed, one imagined). The release is a derivative, comprising 1-250 Hz band-pass filtered signals from 32 channels across eight sessions, with trial events and M1/S1 electrode labels. It supports study of how motor imagination and execution are decoupled in orthogonal neural representations.

Participants

1

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026