Discover datasets

A multimodal dataset of human balance during beam walking and standing on a treadmill-mounted balance beam. It includes synchronized 128-channel EEG, lower leg and neck EMG, EOG, and motion capture. Participants were exposed to visual field rotations in virtual reality or physical side-to-side waist pulls, which allows electrocortical and muscular responses to sensorimotor perturbations to be compared.

Participants

30

Channels

128 (biosemi)

Citations

165

Size

10.9 GB

Version

v1.0.0

Updated

Jun 19, 2026

Invasive epidural recordings from the cervical spinal cord of eight patients with neuropathic pain and implanted epidural electrodes, collected to test whether temporal expectation alters initial sensory processing in the human spinal cord. Participants received median nerve stimulation preceded by an auditory cue, with the cue-to-stimulus interval either fixed (1100 ms) or randomly varied (100-2100 ms) in alternating blocks. Participants silently counted rare double-stimulus trials (80 ms ISI).

Participants

8

Size

722 MB

This dataset contains anatomical T1-weighted MRI, raw multi-echo resting-state fMRI, and polysomnography (PSG) EEG recordings from healthy controls and patients with zoster-associated neuralgia (ZAN). It supports investigation of brain structure, functional activity, and sleep differences between HC and ZAN groups. MRI and PSG data partly overlap across participants, and sleep stages were manually scored according to AASM criteria.

Participants

66

Channels

19 (other)

Size

59.2 GB

Version

v1.0.0

Updated

May 25, 2026

This dataset contains 300 single-channel intracranial EEG segments (23.6 s each, 173.61 Hz) from five epilepsy patients, corresponding to sets C, D and E of the Bonn EEG dataset of Andrzejak et al. (2001). Sets C and D are seizure-free interictal recordings from hippocampal formations (opposite hemisphere and epileptogenic zone, respectively), and set E contains ictal activity. The data are a lossless BIDS re-packaging of the published text files, pooled under a single pseudo-subject because segment-to-patient mapping is unavailable.

Participants

1

Size

4.57 MB

Version

v1.0.0

Updated

Oct 8, 2026

IACKD is an EEG and hand kinematics dataset designed to study conflict between motor intention and executed action. It pairs EEG recordings with hand movement kinematics, and is organized in BIDS format with BrainVision EEG files. Task presentation was implemented in PsychoPy.

Participants

15

Channels

26 (10-10)

Citations

2

Size

7.42 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains 19-channel EEG recordings from 7 healthy participants performing classical motor imagery of the left hand, right hand, and passive rest. Participants responded to visual arrow cues in offline sessions, without feedback. The recordings were made with a Nihon Kohden EEG-1200 system at 200 Hz. The data support brain-computer interface research and motor imagery classification benchmarking.

Participants

7

Channels

19 (10-20)

Citations

82

HED

v8.4.0

Size

1.20 GB

Version

v1.0.2

Updated

Aug 18, 2026

Intracranial EEG (iEEG) dataset titled 'Neural spatial volatility', collected by Kuroda, Asano, Nakasato and colleagues, with ethics approval from the IRBs of Wayne State University and Tohoku University. The dataset is organized in BIDS format and mirrored on NEMAR from its original OpenNeuro deposit (ds006107).

Participants

166

Size

11.9 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

MetaRDK contains intracranial EEG (stereo-EEG) high-gamma activity from patients with pharmacologically intractable epilepsy performing a perceptual random-dot motion decision task followed by a confidence judgement. The data comprise average power modulation in five non-overlapping frequency bands between 70 and 150 Hz, segmented from trial onset to trial offset and sampled at 512 Hz. Behavioral tables (stimulus onset, response times, confidence, changes of mind) accompany the recordings to study the neural correlates of decision making and metacognition.

Participants

21

Citations

4

Size

15.8 GB

Version

v1.0.0

Updated

Jun 28, 2026