Discover datasets

The Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB) provides high-density 128-channel EEG and eye-tracking recordings from a developmental cohort spanning childhood to adulthood. Participants completed a battery of cognitive and perceptual paradigms, including resting state, surround suppression, naturalistic viewing, contrast change detection, sequence learning, and symbol search. This BIDS conversion contains EEG data from 111 participants, with source eye-tracking and behavioural data preserved in sourcedata.

Participants

111

Citations

65

Size

110 GB

Version

v1.0.0

Updated

Jun 17, 2026

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 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

NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.

Participants

19

Channels

62 (10-10)

Citations

5

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains EEG recordings from 127 young adults (18-30 years) together with retrospective indicators of childhood family socioeconomic status (SES) and adult SES measures, including education, income, food security, and home and neighborhood characteristics. EEG was recorded during ERP CORE tasks or adaptations of them, which target perception, cognition, and action. The dataset also includes an adult ADHD symptoms checklist, so that links between SES, ADHD symptoms, and neural activity can be examined in a socioeconomically diverse sample.

Participants

127

Channels

27

Citations

8

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026

A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.

Participants

14

Channels

28 (10-10)

HED

v8.4.0

Size

1018 MB

Version

v1.0.0

Updated

Oct 8, 2026

TMNRED is an EEG dataset recorded from 30 native Chinese speakers during natural reading of news headlines and short sentences. Participants identified fuzzy semantic targets among target and non-target items. The dataset supports research on semantic processing of Chinese in naturalistic reading and includes raw and preprocessed data in BIDS format.

Participants

30

Channels

30 (10-10)

Citations

4

Size

17.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains EEG recordings from 7 participants performing an auditory imagery task, in which they imagined the sounds made by objects from the semantic categories of animals and tools for 5 seconds. It supports research on semantic decoding and brain-computer interfacing. Recordings were made with a 64-channel BioSemi system, with additional EOG, physiological, and respiration channels.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026