Discover datasets

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

1.93 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

8

Citations

6

Size

7.74 GB

Version

v1.0.2

Updated

Jul 10, 2026

Imported from OpenNeuro ds003825

Participants

50

Channels

63

Citations

1

Size

59.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

This fNIRS neuroimaging dataset captures hemodynamic responses during complex scene analysis tasks, enabling investigation of spatial attention decoding mechanisms. The dataset comprises functional near-infrared spectroscopy recordings from multiple participants performing visual attention tasks on complex scenes, providing insights into cortical activation patterns associated with attentional processes. This resource supports research in cognitive neuroscience, brain-computer interfaces, and visual perception.

Participants

12

Size

2.19 GB

Version

v1.0.0

Updated

Jul 10, 2026

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 EEG channels plus 2 EOG channels, 200 Hz sampling rate) and NIRS measurements (36 channels) across six sessions per subject, with validated classification performance demonstrating enhanced discrimination of mental states through multimodal analysis compared to single-modality approaches.

Participants

29

Channels

30 (10-05)

Citations

94

HED

v8.4.0

Size

6.50 GB

Version

v1.0.3

Updated

Aug 18, 2026

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.

Participants

11

Channels

62 (10-10)

Citations

12

HED

v8.4.0

Size

28.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises concurrent EEG and EMG recordings collected during a visual perception task examining symmetry detection and affective responses. Participants viewed visual patterns and made judgments about pattern regularity following stimulus offset, providing insights into the neural and physiological correlates of symmetry perception.

Participants

24

Channels

64 (other)

Citations

91

Size

2.69 GB

Version

v1.0.0

Updated

Jul 10, 2026

A motor imagery brain-computer interface dataset comprising EEG recordings from 30 healthy participants performing left-hand grasping imagery and rest tasks, augmented with pupillometry measurements. The dataset includes 32-channel EEG data sampled at 512 Hz acquired using BioSemi ActiveTwo hardware, with two experimental runs per subject containing 50 trials total. This derivative dataset was processed using the Mother of All BCI Benchmarks (MOABB) framework and is designed to support BCI research and algorithm development.

Participants

30

Channels

32 (10-10)

Citations

37

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 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 MEG recordings collected to investigate the sustained neural representations of personally familiar people and places during a cued recall task. Participants were cued to recall familiar individuals and locations while brain activity was measured to examine the temporal dynamics of memory-related representations.

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026