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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

EEG recordings from an auditory oddball task collected at the Meditation Research Institute in Rishikesh, India. Participants completed three sessions of a P300 paradigm with standard tones, oddball tones and white-noise distractors while sitting with their eyes closed in a darkened room. The dataset supports research on auditory event-related potentials and attention.

Participants

13

Channels

64 (10-10)

Citations

7

HED

v8.0.0

Size

2.31 GB

Version

v1.0.0

Updated

Jun 21, 2026

M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.

Participants

95

Channels

64 (10-10)

Citations

31

Size

21.6 GB

Version

v1.0.0

Updated

May 11, 2026

A multi-day EEG dataset for motor imagery brain-computer interface (MI-BCI) research collected at Shanghai University (WBCIC-SHU). It contains recordings from 51 healthy, BCI-naive participants who performed left- and right-hand motor imagery over three sessions on different days. A subset of 11 participants also performed a three-class paradigm that adds foot-hooking imagery. Recordings were made with a 59-channel EEG system and the dataset is accompanied by benchmark classification results using CSP, FBCSP, EEGNet, deepConvNet and FBCNet.

Participants

51

Channels

59 (10-10)

Citations

44

HED

v8.4.0

Size

154 GB

Version

v1.0.5

Updated

Aug 18, 2026