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A cross-session motor imagery EEG dataset from 10 healthy participants who performed cued left- versus right-hand motor imagery across two sessions. Recordings used 28 EEG channels sampled at 250 Hz with a Neuroscan SynAmps2 amplifier, with roughly 180 trials per session. In session 2, test trials included online feedback. The data were re-released in BIDS format via MOABB for brain-computer interface research.

Participants

10

Channels

28 (10-10)

HED

v8.4.0

Size

1.01 GB

Version

v1.0.0

Updated

Oct 8, 2026

…openneuro.org/datasets/ds004789) and [FR2](https://openneuro.org/datasets/ds005489) datasets…

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

…This dataset aims to foster studies on neural decoding, perception, and cognitive…

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026

A longitudinal motor imagery brain-computer interface EEG dataset in which 20 healthy participants each completed seven sessions on separate days without feedback training. Four classes were recorded (left hand, right hand, both feet, rest) with a 41-channel Neuroscan system at 500 Hz, yielding 33,600 trials. The dataset supports research on the stability of motor imagery decoding across days and subjects.

Participants

20

Channels

41 (other)

Citations

16

HED

v8.4.0

Size

93.1 GB

Version

v1.0.3

Updated

Aug 20, 2026

…ds007752 ([https://openneuro.org/datasets/ds007752](https://openneuro.org/datasets/ds007752)) - BCCWJ…

Participants

35

Size

166 GB

Version

v1.0.0

Updated

Jul 6, 2026

Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.

Participants

27

Size

881 MB

Version

v1.0.0

Updated

Jun 17, 2026

…Data is curated according to open science principles to ensure accessibility and…

Participants

65

Channels

64 (10-10)

Size

936 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings from 14 healthy, BCI-naive participants performing asynchronous voluntary index-finger tapping (right, left) and rest, originally reported by Wairagkar et al. (2018). Data were recorded at 1024 Hz from 19 scalp channels and preprocessed with filtering and ICA artifact removal. Trials are segmented around movement onset to study neural correlates of movement intention, and the dataset is distributed in BIDS format via MOABB.

Participants

14

Channels

19 (10-20)

Citations

10

HED

v8.4.0

Size

1.23 GB

Version

v1.0.2

Updated

Aug 18, 2026

…R. (2023). *An open-access dataset of naturalistic viewing > using simultaneous EEG…

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

…Journal of Open Source Software 4: (1896). https://doi.org/10.21105…

Participants

12

Channels

17 (other)

Citations

12

HED

v8.4.0

Size

4.18 GB

Version

v1.0.3

Updated

Aug 18, 2026