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A high-density scalp electroencephalogram (HD-EEG) dataset acquired during sensorimotor rhythm-based brain-computer interface (BCI) tasks. This dataset comprises recordings from multiple subjects performing motor imagery and related sensorimotor tasks, designed to support the development and validation of BCI systems. The HD-EEG recordings provide detailed spatial resolution of cortical activity relevant to motor control and brain-computer interfacing research.

Participants

56

Channels

129 (egi-geodesic)

Citations

8

Size

38.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

A high-density scalp electroencephalogram (EEG) dataset acquired during sensorimotor rhythm-based brain-computer interface (BCI) tasks. This dataset comprises recordings from multiple subjects performing motor imagery and related sensorimotor activities, designed to support the development and validation of BCI systems. The dataset provides a comprehensive resource for investigating neural correlates of motor planning and brain-computer communication.

Participants

22

Channels

129 (egi-geodesic)

Citations

10

Size

20.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density scalp electroencephalography (EEG) recordings collected during sensorimotor rhythm-based brain-computer interface (BCI) tasks. It is intended to support research on motor imagery decoding, neural correlates of sensorimotor rhythms, and BCI performance modeling. The dataset represents a derivative or related version of a previously published high-density EEG BCI dataset.

Participants

30

Channels

129 (egi-geodesic)

Citations

10

Size

29.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density scalp EEG recordings collected during sensorimotor rhythm-based brain-computer interface (BCI) tasks. It was designed to support research into motor imagery decoding and neurofeedback training using EEG signals. The dataset accompanies a data descriptor published in Scientific Data, providing detailed EEG recordings for BCI-related sensorimotor rhythm analysis.

Participants

30

Channels

129 (egi-geodesic)

Citations

10

Size

48.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises 128-channel EEG recordings from healthy, neurotypical adults listening to naturalistic speech segments from an audiobook version of 'The Old Man and the Sea'. The data were originally collected across two studies investigating cortical entrainment to speech and semantic processing during continuous narrative listening. Accompanying audio stimuli and forced-aligned phoneme/word timing annotations are included to support neurolinguistic analyses.

Participants

19

Channels

128 (biosemi)

Citations

90

Size

18.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains simultaneous EEG, electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 26 healthy participants during resting state and various peripheral nerve stimulation paradigms (mixed and sensory nerve stimulation of median, tibial, and digital/toe nerves). The recordings aim to characterize somatosensory evoked potentials at the level of the spinal cord and cortex, enabling investigation of somatosensory processing across peripheral, spinal, and cortical levels. The study was pre-registered and organized according to the BIDS specification.

Participants

26

Channels

39 (other)

Citations

1

Size

377 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous multimodal neurophysiological recordings from 40 participants, including electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG), and electromyography (EMG), acquired during resting state and peripheral nerve stimulation conditions. The study investigates somatosensory evoked potentials in the human spinal cord using separate median nerve stimulation (arm) and tibial nerve stimulation (leg) paradigms, as well as alternating mixed stimulation conditions, with concurrent electrocardiographic and respiratory monitoring. Data are organized according to the Brain Imaging Data Structure specification.

Participants

40

Channels

64 (10-10)

Citations

2

Size

683 GB

Version

v1.0.0

Updated

Jul 22, 2026

This intraoperative EEG dataset comprises somatosensory evoked potentials (SEP) recorded from 14 adult and 4 pediatric subjects during median and tibial nerve stimulation at 8 different stimulation rates. The dataset was collected to optimize signal-to-noise ratio in short-duration SEP recordings through systematic variation of stimulus repetition rates, with both raw continuous EEG data and processed derivatives provided for 34 median SEP and 32 tibial SEP sessions.

Participants

18

Channels

4 (other)

Citations

5

Size

12.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains intracranial EEG (ECoG) recordings from 6 epilepsy patients (ages 13-53) who underwent Cortico-Cortical Evoked Potential (CCEP) mapping via single pulse electrical stimulation (SPES), both in the awake state during clinical routine and under general propofol anesthesia. The data were collected to investigate the effect of propofol on local effective brain networks. Electrode positions were estimated using individual MRI-based Freesurfer reconstructions and co-registered to MNI305 space.

Participants

7

Size

27.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises pooled electrooculography (EOG) data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.

Participants

41

Channels

7 (egi-geodesic)

Citations

2

Size

8.01 GB

Version

v1.0.0

Updated

Jul 10, 2026