Discover datasets

A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.

Participants

29

Channels

9 (10-20)

HED

v8.4.0

Size

800 MB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.

Participants

15

Channels

61 (10-05)

Citations

93

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 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

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