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This dataset comprises intracranial EEG recordings from five patients undergoing single-pulse electrical stimulation of temporal and limbic circuitry at Mayo Clinic. The study investigates Basis Profile Curve identification and distinct neural responses evoked in human ventral temporal cortex through direct brain stimulation, providing insights into functional connectivity and processing speed within the human connectome.

Participants

5

Size

11.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

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)

Size

38.2 GB

Version

vv1.0.0

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)

Size

20.7 GB

Version

vv1.0.0

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 is intended to facilitate research in neural signal processing, motor control, and brain-computer interface applications.

Participants

30

Channels

129 (egi-geodesic)

Size

29.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The BMI-HDEEG dataset comprises high-density scalp electroencephalogram (EEG) recordings acquired during sensorimotor rhythm-based brain-computer interface (BCI) tasks. This dataset provides detailed neurophysiological measurements from multiple subjects performing motor imagery and related sensorimotor activities, enabling investigation of cortical dynamics underlying BCI performance and sensorimotor processing.

Participants

30

Channels

129 (egi-geodesic)

Size

48.6 GB

Version

vv1.0.0

Updated

Jul 22, 2026

This dataset comprises EEG recordings from healthy adults listening to naturalistic speech segments from an audiobook. Brain activity was recorded using a 128-channel ActiveTwo EEG system while subjects listened to passages from "The Old Man and the Sea," with concurrent phoneme and word-level timing annotations. The unfiltered, unreferenced recordings sampled at 512 Hz provide raw neural responses to continuous speech stimuli for investigating cortical entrainment and speech comprehension mechanisms.

Participants

19

Channels

128 (biosemi)

Size

18.7 GB

Version

vv1.0.0

Updated

Jul 22, 2026

This dataset comprises simultaneous multimodal neurophysiological recordings (EEG, electrospinography, electroneurography, and EMG) from 26 participants during resting state and various somatosensory stimulation conditions targeting mixed nerves (median and tibial) and individual digits. The dataset enables investigation of somatosensory evoked potentials and their propagation through the central and peripheral nervous system across multiple recording modalities.

Participants

26

Channels

39 (other)

Citations

1

Size

376 GB

Version

vv1.0.0

Updated

Jul 10, 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

vv1.0.0

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)

Size

7.73 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 6 patients (ages 13-53 years) undergoing clinical evaluation for epilepsy surgery. Cortico-Cortical Evoked Potentials (CCEPs) were recorded via electrocorticography (ECoG) during single-pulse electrical stimulation (SPES) in two conditions: during awake clinical routine and under propofol-induced general anesthesia. The dataset investigates the effects of propofol on local effective brain networks and is organized according to the Brain Imaging Data Structure (BIDS) specification.

Participants

7

Size

27.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026