Discover datasets

This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.

Participants

8

Citations

5

Size

14.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and motion capture recordings from 20 healthy adults performing a spatial orientation task involving full-body heading changes. Participants completed a spot rotation task under two conditions: joystick-controlled visual rotation on a 2D display and physical full-body rotation in a virtual reality environment. The dataset includes 157-channel EEG data (129 scalp + 28 neck electrodes) sampled at 1000 Hz and multi-camera motion capture data at 90 Hz, enabling investigation of cortical dynamics and sensorimotor integration during naturalistic spatial navigation.

Participants

20

Channels

160 (other)

Citations

39

Size

61.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

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

Citations

15

Size

11.4 GB

Version

v1.0.0

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)

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

11

Size

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

Participants

30

Channels

129 (egi-geodesic)

Citations

11

Size

29.2 GB

Version

v1.0.0

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)

Citations

11

Size

48.6 GB

Version

v1.0.0

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)

Citations

90

Size

18.7 GB

Version

v1.0.0

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

v1.0.0

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

v1.0.0

Updated

Jul 22, 2026