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Batista2022: Motor-imagery EEG during NeuRow VR/haptics BCI training

EEG

This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Diogo Batista et al.
on004473
sEEG Forced Two-Choice Task

ANAT BEH iEEG Zarr fidelity issue

This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.

Participants

8

Citations

6

Size

14.5 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Alexander P. Rockhill et al. OpenNeuro ds004473
on004315
Mood Manipulation and PST, Experiment 1

EEG Zarr

…Data collected from 2019-2021 in Cognitive Rhythms and Computation Lab at…

Participants

50

Channels

66 (10-10)

Citations

1

Size

9.81 GB

Version

v1.0.0

Updated

Jun 24, 2026

by James F Cavanagh et al. OpenNeuro ds004315
on007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals

EEG MOTION Zarr

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

by Shantanu Sarkar et al. OpenNeuro ds007788
on005486
PREDICT

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005486-blue…

Participants

159

Size

371 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Nahian S. Chowdhury et al. OpenNeuro ds005486
on006519
Dataset of intracranial EEG during cortical stimulations evoking negative motor responses

ANAT iEEG Zarr

This dataset contains intracranial EEG (stereo-EEG) recordings acquired during 41 high-frequency electrical cortical stimulations that evoked negative motor responses. Data come from 23 patients undergoing presurgical evaluation for drug-resistant epilepsy. Each recording spans about 24 seconds around a stimulation and includes pre- and post-stimulation 5-second epochs, which were used for connectivity analysis. Stimulation contact pairs, current intensities and evoked effects are annotated in the events files.

Participants

21

Size

1.04 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Andrei Barborica et al. OpenNeuro ds006519
on004317
Mood Manipulation and PST, Experiment 2

EEG Zarr

…Data collected from 2019-2021 in Cognitive Rhythms and Computation Lab at…

Participants

50

Channels

66 (10-10)

Citations

1

Size

18.3 GB

Version

v1.0.0

Updated

Jun 24, 2026

by James F Cavanagh et al. OpenNeuro ds004317
on002723
A dataset recorded during development of an affective brain-computer music interface: testing session

EEG

EEG recordings from 8 healthy adults using a real-time, online affective music brain-computer interface. The system identified each listener's emotional state and modified synthetically generated 60 s music clips on the fly to induce target affective states defined by valence and arousal. The dataset includes self-reported valence and arousal and is one of three connected datasets from the BCMI-MIdAS project.

Participants

8

Channels

32 (10-10)

Size

2.60 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Ian Daly et al. OpenNeuro ds002723
on003458
EEG: Three armed bandit gambling task

EEG Zarr

…Data collected in 2014 in the Cognitive Rhythms and Computation Lab, University…

Participants

23

Channels

64 (10-10)

Size

4.72 GB

Version

v1.0.0

Updated

Jul 2, 2026

by James F Cavanagh jcavanagh@unm.edu OpenNeuro ds003458
on002724
A dataset recorded during development of an affective brain-computer music interface: training sessions

EEG

EEG, galvanic skin response (GSR) and electrocardiogram (ECG) recordings from 16 healthy participants who listened to 40 s synthetically generated music clips targeting two affective states defined by valence and arousal. Data were collected over three sessions on separate days, each with four runs of 18 trials. The recordings were made to train an affective brain-computer music interface (BCMI-MIdAS) to induce target emotional states in individual users. Self-reported valence and arousal values and auxiliary variables are included.

Participants

10

Channels

32 (10-10)

Size

8.52 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Ian Daly et al. OpenNeuro ds002724