Discover datasets

This dataset contains EEG and behavioural data from 9 participants performing a complex decision-making task simulating a pandemic emergency resource-allocation scenario. Participants, paired with an artificial agent, allocated resources across 64 sequences while EEG, ECG, and EOG signals were recorded, along with their subjective confidence in each decision. The dataset is intended to support research into neurophysiological correlates of strategic decision-making under uncertainty.

Participants

9

Channels

79 (10-10)

Size

22.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

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

14.5 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

61.4 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

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