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…The project was approved by the local MRI Indian ethical committee and…

Participants

98

Channels

64 (10-10)

Citations

5

Size

54.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

A three-class motor imagery EEG dataset (left hand, right hand, feet) from the MI-A track of the 2023 World Robot Contest BCI competition. It includes recordings from nine participants, two of whom are stroke patients, with 90 cued 4-second imagery trials each (30 per class). Data were acquired at 1000 Hz from 59 EEG channels using a Neuracle wireless system and re-released in BIDS format with HED annotations via MOABB.

Participants

9

Channels

59 (10-10)

HED

v8.4.0

Size

1.80 GB

Version

v1.0.0

Updated

Oct 8, 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

…The project was approved by the local MRI Indian ethical committee and…

Participants

13

Channels

64 (10-10)

Citations

7

HED

v8.0.0

Size

2.31 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings of motor imagery and motor execution for six activities (raising and lowering each hand, standing and sitting) from 30 healthy participants over two sessions. Data were acquired with a 14-channel Emotiv EPOC X headset at 128 Hz. This BIDS re-release, produced via MOABB, exposes a 3-class imagery task (left hand, right hand, trunk) for brain-computer interface research. The distributed imagery files carry no per-repetition activity label, so only folder-level 3-class labels are available.

Participants

30

Channels

14 (10-10)

HED

v8.4.0

Size

41.2 MB

Version

v1.0.0

Updated

Oct 8, 2026

…License This dataset (MEG and MRI data) was collected by Jonathan Cote…

Participants

2

Citations

1

Size

15.5 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings from 20 participants performing a novel finger motor imagery paradigm in which cues for individual fingers were presented in random and sequential order blocks. The order of blocks was counterbalanced across participants. Data were acquired with a 65-channel g.tec system at 512 Hz and organized in BIDS format.

Participants

20

Channels

64 (10-10)

Size

30.6 GB

Version

v1.0.0

Updated

Sep 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 is Study F of the bigP3BCI collection, a P300-based brain-computer interface speller dataset. It contains 16-channel EEG recorded at 256 Hz over three sessions per subject from 10 participants using a 6x6 character grid with multiple stimulus paradigms. Target and non-target events are annotated with HED tags. The data is a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared through MOABB.

Participants

10

Channels

16 (10-10)

Citations

2

HED

v8.4.0

Size

1.91 GB

Version

v1.0.2

Updated

Aug 18, 2026

…It combines functional, structural, and diffusion-weighted MRI with EEG to examine…

Participants

65

Channels

64 (10-10)

Size

936 GB

Version

v1.0.0

Updated

Jun 21, 2026