Discover datasets

…the left mastoid. - **PSG_EMG**: Electromyography signals recorded with the PSG system…

Participants

128

Channels

2

Size

33.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings from 10 BCI-naive participants acquired with a low-cost consumer-grade device during a motor imagery versus rest protocol. Participants performed kinesthetic imagination of a grasping movement with the dominant hand and rest/idle conditions across five runs, including an initial real-movement run. EMG of the dominant hand was recorded for protocol control, supporting evaluation of affordable brain-computer interface systems.

Participants

10

Channels

15 (10-20)

Citations

1

Size

69.3 MB

Version

v1.0.2

Updated

Jun 4, 2026

Stereo-electroencephalography (SEEG) recordings from four adults with drug-resistant epilepsy performing force-matching tasks with a power grasp and a lateral pinch. Two participants also completed blocks in which they only imagined producing the force. Each block contained trials at three force targets (20, 30 and 40% of maximum voluntary contraction). Recordings were sampled at 2000 Hz and include the analog force signal, and were converted to BIDS from a Dryad deposit.

Participants

4

Size

7.19 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 12 healthy, BCI-naive participants performing kinesthetic motor imagery of upper-limb, elbow-centered tasks. The paradigm has 10 classes: rest, elbow flexion, and eight goal-directed daily-living tasks such as drawer opening, soup eating, weight lifting and combing. Data were recorded with a 17-channel EGI system at 1000 Hz. The dataset supports research on the versatility of EEG models for motor-imagery BCI control and rehabilitation.

Participants

12

Channels

17 (other)

Citations

12

HED

v8.4.0

Size

4.18 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains synchronized EEG, ECG and pupil recordings from 36 young and 39 older adults performing auditory cued reaction time tasks, plus a passive listening condition. The active tasks were a cued simple reaction time task and a cued go/no-go task, and they allow investigation of age-related differences in cortical, autonomic and pupillary responses during anticipation and perceptual decision-making.

Participants

75

Channels

61 (10-10)

Citations

30

Size

21.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

Intraoperative electrocorticography (ECoG) recordings of median nerve somatosensory evoked potentials (SEP) from 10 patients undergoing brain tumor resection in the perirolandic region. Two 4-contact ECoG strips, one low impedance (LoZ) and one high impedance (HiZ), were recorded simultaneously to compare fast ripple and high frequency oscillation detection. The data comprise continuous raw ECoG in BIDS format.

Participants

10

Citations

10

Size

1.20 GB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.

Participants

18

Channels

62 (10-10)

Citations

6

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains electrophysiological recordings (EEG, ECG, and facial EMG) from nine adult burn patients in an intensive care unit who received music therapy. It is part of a single-site randomized clinical trial. Each patient was recorded during two Music-Assisted Relaxation sessions, each with pre-intervention, intervention, and post-intervention phases. Pain (VAS) and anxiety-depression (HADS) measures were also collected to relate to the physiological signals.

Participants

9

Channels

8

Size

1.75 GB

Version

v1.0.0

Updated

Jun 25, 2026

EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.

Participants

60

Channels

64

Size

70.4 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026