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This dataset comprises intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients enrolled in the RESPect (Registry for Epilepsy Surgery Patients) study at the University Medical Center of Utrecht. The collection includes both intraoperative electrocorticography (ECoG) recordings from six patients and long-term iEEG monitoring data from six patients (three ECoG, three stereo-encephalography). All data are organized according to the Brain Imaging Data Structure (BIDS) specification to facilitate standardized access and analysis of clinical neurophysiology data.

Participants

6

Size

2.60 GB

Version

v1.0.0

Updated

Jul 22, 2026

Imported from OpenNeuro ds004022

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.

Participants

50

Channels

29 (10-10)

Citations

79

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Data contain a single EMG channel (PSG_EMG), which is the result…

Participants

128

Channels

2

Citations

7

Size

33.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

…for personal monitoring using skin surface electrodes: a single-case feasibility study…

Participants

18

Channels

19 (10-20)

Citations

19

Size

2.13 GB

Version

v1.0.0

Updated

Aug 19, 2026

Motor imagery EEG dataset from 8 healthy subjects performing cue-based motor imagination tasks (right hand, feet, rest). Recorded at 512 Hz with 16 electrodes using g.tec g.USBamp amplifier. Dataset comprises 60 trials (20 per class, 3 seconds each) and was developed to validate robust asynchronous EEG-based brain-computer interface control. Data are preprocessed and re-referenced to earlobe.

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset (WBCIC-SHU) contains multi-day EEG recordings from 51 healthy, right-handed, BCI-naive subjects performing a motor imagery brain-computer interface paradigm across three sessions per subject. Participants imagined left-hand, right-hand, or (for a subset of 11 subjects) foot movements in response to visual and auditory cues, yielding 39,600 trials in total. The dataset is intended for benchmarking motor imagery classification algorithms such as CSP, FBCSP, EEGNet, deepConvNet, and FBCNet, and was converted to BIDS format using MOABB.

Participants

51

Channels

59 (10-10)

Citations

34

HED

v8.4.0

Size

154 GB

Version

v1.0.5

Updated

Aug 18, 2026

…GND and one REF, & 8 EMG electrodes (Inferior and Superior; Left and…

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

v1.0.0

Updated

Aug 18, 2026

…C4, O1 and O2), 2 EMG channels and 2 EOG channels. All…

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds004849

Participants

1

Channels

64 (10-10)

Citations

1

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026