Discover datasets

A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.

Participants

7

Channels

60

Size

3.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

A 60-channel EEG dataset with EOG and EMG recordings from 22 healthy participants performing sit-to-stand and stand-to-sit transitions under motor execution and motor imagery conditions. Each participant completed two sessions, with about 20 trials per transition class. It is described as the first public EEG dataset to explicitly target postural transitions, and supports research on neural activation patterns and brain-computer interfaces for lower-limb movement. This BIDS release was reformatted from the original Zenodo deposit using MOABB.

Participants

22

Channels

60 (10-10)

HED

v8.4.0

Size

58.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 12 healthy participants performing three-class motor imagery of the same upper extremity: rest, hand grasping, and elbow flexion. Each participant completed 4 sessions of 20 trials per class, recorded with a 32-channel EGI HydroCel net at 1000 Hz. The dataset supports research on brain-computer interface classification of imagined movements within one limb, for example for rehabilitation and motor control.

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

Functional near-infrared spectroscopy (fNIRS) recordings of human auditory cortex from participants with subjective tinnitus and matched controls. The dataset supports investigation of whether subjective tinnitus severity relates to objective hemodynamic changes in auditory cortex. Data were acquired with a NIRx NIRSport2 system and organized in BIDS format.

Participants

63

Size

275 MB

Version

v1.0.0

Updated

Jun 19, 2026

Raw multimodal recordings of 18-channel EEG and functional near-infrared spectroscopy (fNIRS) from seven participants with orthopedic impairment performing motor imagery tasks. Each participant completed three sessions of 40 trials, with four motor imagery tasks (reach, twist, lift, grasp) presented in random order. The dataset supports research on multimodal brain-computer interfaces for people with motor impairments.

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

May 25, 2026

EEG recordings from 32 participants performing motor imagery of sit-to-stand and stand-to-sit movements, collected in offline and online brain-computer interface (BCI) phases. Signals were recorded from 17 channels (10-20 placement) at 250 Hz while visual cues on a screen guided motor imagery and idle-state trials. Offline data were used to train machine learning models that then provided real-time task detection in the online phase.

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jun 20, 2026

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

EEG recordings from 12 healthy, BCI-naive participants performing two-class motor imagery (sustained right-hand palmar grip versus both-feet plantar extension) across two sessions, with 200 trials per session. Data were recorded from 13 sensorimotor channels at 512 Hz with visual cursor feedback, in support of an autocalibrating, recurrently adapting online ERD-based brain-computer interface. The dataset is distributed in BIDS format via MOABB.

Participants

12

Channels

13 (10-10)

Citations

94

HED

v8.4.0

Size

2.83 GB

Version

v1.0.2

Updated

Aug 18, 2026

A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.

Participants

62

Channels

60 (10-10)

Citations

63

HED

v8.4.0

Size

722 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset contains electrophysiological recordings (EEG, ECG, and facial EMG) from nine adult burn patients in an intensive care unit who received music therapy. It is part of a single-site randomized clinical trial. Each patient was recorded during two Music-Assisted Relaxation sessions, each with pre-intervention, intervention, and post-intervention phases. Pain (VAS) and anxiety-depression (HADS) measures were also collected to relate to the physiological signals.

Participants

9

Channels

8

Size

1.75 GB

Version

v1.0.0

Updated

Jun 25, 2026