Discover datasets

This dataset contains EEG recordings from 8 healthy adult participants during real-time control of an affective brain-computer music interface (BCMI). Participants listened to 60-second music clips designed to induce specific emotional states defined by valence and arousal dimensions. The dataset includes continuous EEG data sampled at 1 kHz alongside self-reported affective state ratings, enabling investigation of neural correlates of emotion and the efficacy of real-time music-based emotional state modulation.

Participants

8

Channels

32 (10-10)

Size

2.60 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Citations

25

Size

297 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.

Participants

26

Citations

8

Size

176 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

24

Channels

64

HED

v8.4.0

Size

5.69 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains invasive electrophysiological recordings from the human cervical spinal cord in patients with neuropathic pain who had epidural electrodes implanted for pain management. The study investigates whether temporal expectation, manipulated via variable versus fixed cue-to-stimulus intervals, influences initial sensory processing of median nerve stimulation at the level of the spinal cord. Eight patients performed a counting task while receiving auditory cues followed by single or double electric median nerve stimuli.

Participants

8

Size

722 MB

Updated

Aug 19, 2026

This EEG dataset comprises recordings from 26 participants who received laser stimulation at fixed intensity while providing pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain ratings in response to nociceptive stimuli, with potential applications to understanding pain modulation mechanisms.

Participants

26

Channels

64 (10-10)

Size

4.42 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

24

Channels

64 (10-10)

Citations

50

Size

26.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from participants undergoing laser-evoked pain stimulation at four individually calibrated intensity levels, applied to the left and right hand dorsum. Participants rated perceived pain intensity using a numerical rating scale (0-10) following each stimulus, across 80 trials in a two-factor repeated-measures within-subject design. The dataset supports research into the neural correlates of pain perception and intensity coding.

Participants

95

Channels

60 (10-10)

Size

300 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains multimodal brain–machine interface (BMI) recordings from seven healthy adults who trained over nine longitudinal sessions to control a lower-limb exoskeleton via motor imagery. It includes 60-channel EEG, 4-channel EOG, dual IMU motion data, and exoskeleton control/feedback signals collected during open-loop calibration and closed-loop walk/stop trials. The dataset supports research on EEG-based decoding of motor imagery for neurorehabilitation and human-robot interaction applications.

Participants

7

Channels

60

Citations

2

Size

3.62 GB

Version

v1.0.0

Updated

Aug 18, 2026