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An open access hybrid brain-computer interface dataset combining electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing motor imagery and mental arithmetic tasks. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) and NIRS data with validated classification performance demonstrating enhanced discrimination of mental states through multimodal analysis compared to single modality approaches.

Participants

29

Citations

94

Size

1.87 GB

Version

v1.0.1

Updated

Jun 12, 2026

BigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Participants

20

Size

426 MB

Version

v1.0.1

Updated

Jun 3, 2026

A multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.

Participants

51

Citations

29

Size

63.4 GB

Version

v1.0.1

Updated

Jun 3, 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. Recordings encompass four experimental conditions: resting state with eyes open, mixed median nerve stimulation, mixed tibial nerve stimulation, and alternating mixed nerve stimulation. The dataset includes auxiliary physiological signals (electrocardiography and respiration) and ESG electrode position information, organized according to the Brain Imaging Data Structure specification.

Participants

40

Citations

2

Size

682 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.

Participants

34

Citations

1

Size

1.30 TB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset comprises EEG recordings from two related studies (2019 and 2021) investigating speech decoding through phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS). Study 1 involved 8 participants performing discrimination of consonant-vowel and vowel-consonant phoneme pairs with TMS targeting motor cortex regions (lip and tongue motor areas). Study 2 expanded to 16 participants and included single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords) with additional TMS targets in Broca's area and verbal memory regions. The dataset provides a comprehensive resource for investigating the neural mechanisms underlying speech perception and articulation.

Participants

24

Citations

4

Size

83.8 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset comprises EEG recordings from 10 healthy participants performing a P300 speller task using a 6×6 character matrix. The study compares two stimulus conditions—famous faces and inverting—to evaluate their effects on online P300 classification performance using language models. Data were collected across 2 sessions per subject with 3 runs per session, sampled at 256 Hz from 32 EEG channels.

Participants

10

Citations

28

Size

288 MB

Version

v1.0.1

Updated

Jun 12, 2026

A sample intracranial electrophysiology dataset collected during natural listening tasks, including evoked responses to movie trailers and speech stimuli (TIMIT corpus), along with examples of seizure activity and vagus nerve stimulator artifact. This tutorial dataset from the WIRED ICM course demonstrates clinical iEEG recordings from patients with epilepsy, providing illustrative examples of both neural responses to naturalistic audiovisual stimuli and common artifacts encountered in intracranial recordings.

Participants

3

Size

346 MB

Version

v1.0.0

Updated

Jun 26, 2026

The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.

Participants

2

Size

1.68 GB

Version

v1.0.0

Updated

Jun 20, 2026

A P300 brain-computer interface EEG dataset comprising recordings from 19 healthy participants across 3 sessions. The study investigates the effects of visual stimulation conditions (standard flash versus cartoon face stimuli) on P300-BCI performance using an 8-channel montage sampled at 256 Hz, with data collected using a P300 paradigm across 5 grid sizes and including target and non-target event classifications. This is a BIDS-formatted derivative dataset converted from OpenNeuro ds003190 using the MOABB pipeline.

Participants

19

Size

463 MB

Version

v1.0.1

Updated

Jun 23, 2026