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Open-access EEG dataset from Experiment B of Shin et al. (2017), recorded alongside NIRS for hybrid brain-computer interface research. 29 healthy participants performed cued mental arithmetic (serial subtraction) versus resting-baseline trials across alternating sessions. This derivative release contains preprocessed 30-channel EEG (CAR, 0.5-50 Hz bandpass, ICA-based EOG rejection, 200 Hz) with HED event annotations, formatted for benchmarking single-trial classification in MOABB.

Participants

29

Channels

30 (10-05)

Citations

95

HED

v8.4.0

Size

6.62 GB

Version

v1.0.3

Updated

Aug 18, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005964-blue…

Participants

17

Size

65.5 MB

Version

v1.0.0

Updated

Jun 18, 2026

A multi-session, multi-task EEG dataset for passive brain-computer interface research, collected from 15 healthy participants across two sessions. Recordings include resting state and three difficulty levels (easy, medium, difficult) of the MATB-II multitasking environment, recorded with 62 active electrodes at 500 Hz. The dataset supports cross-session and cross-subject mental workload estimation and neuroergonomics applications.

Participants

15

Channels

61 (10-10)

Citations

73

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Towards EEG/fNIRS-based semantic brain-computer interfacing (Doctoral dissertation, University of…

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 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

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

A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

An open access dataset for hybrid brain-computer interface research combining EEG and near-infrared spectroscopy (NIRS). This portion (Experiment A) contains recordings from 29 healthy participants performing left versus right hand kinesthetic motor imagery over multiple sessions. The data include 30 EEG channels plus EOG, are preprocessed, and are annotated with HED tags. They support single-trial classification and multimodal BCI validation.

Participants

29

Channels

30 (10-05)

Citations

95

HED

v8.4.0

Size

6.50 GB

Version

v1.0.3

Updated

Aug 18, 2026

EEG recordings from participants viewing object and word stimuli presented in rapid serial streams at 5 Hz to the left visual field, the right visual field, or centrally. Participants performed an orthogonal red target detection task while stimuli were shown. The dataset supports investigation of the temporal dynamics of visual object coding within and across the cerebral hemispheres, particularly for objects in peripheral vision.

Participants

20

Citations

10

Size

58.8 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG recordings from 20 healthy participants who wrote ten letters (a, d, e, f, j, n, o, s, t, v) with the right index finger after a visual cue. The dataset supports classification of handwritten characters, either directly from low-frequency and broadband EEG or with a two-step approach that first decodes continuous hand kinematics and then classifies the letter. It is intended for research on non-invasive brain-computer interfaces for communication.

Participants

20

Channels

60 (10-10)

Citations

13

HED

v8.4.0

Size

27.0 GB

Version

v1.0.2

Updated

Aug 18, 2026