Discover datasets

This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

Imported from OpenNeuro ds004849

Participants

1

Channels

64 (10-10)

Citations

4

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.

Participants

30

Channels

32 (10-10)

Citations

1

Size

4.21 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains intracranial electrophysiology recordings from the ventral posterolateral (VPL) thalamus of macaque monkeys, obtained using a NeuroNexus multi-site probe on a Blackrock Cerebus recording system. Recordings were made during focused ultrasound (FUS) neuromodulation targeted at either VPL or insular cortex, and during tactile stimulation of the contralateral hand. The dataset supports investigation of how transcranial focused ultrasound modulates spiking and local field potential activity in the primate thalamus.

Participants

2

Size

5.07 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises neuroimaging recordings from participants undergoing laser pain stimulation with concurrent pain rating assessments. This is a NEMAR-hosted reorganization of OpenNeuro dataset ds005285. Participants received 160 laser stimulations of varying intensities across 4 blocks, with pain ratings collected on a 0-10 scale. The study investigates pain perception and modulation mechanisms, with potential applications to understanding pain processing and therapeutic interventions.

Participants

29

Channels

32 (10-10)

Citations

4

Size

27.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.

Participants

31

Channels

62 (10-10)

Citations

11

HED

v8.4.0

Size

33.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.

Participants

32

Channels

17 (10-10)

Size

2.03 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

This dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.

Participants

103

Channels

59 (10-10)

Size

219 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises functional near-infrared spectroscopy (fNIRS) neuroimaging data collected during a study investigating the neural mechanisms of morphine analgesia and placebo effects. Participants received painful electrical stimulation under three conditions: baseline, morphine administration, and placebo treatment. The study measured hemodynamic responses in the medial frontopolar cortex (medial BA 10) to characterize how morphine and placebo attenuate neural responses to noxious stimuli.

Participants

14

Size

865 MB

Version

v1.0.0

Updated

Jul 10, 2026