Discover datasets

This dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.

Citations

61

Size

1.22 GB

Updated

Jun 3, 2026

Imported from OpenNeuro ds005511

Size

245 GB

Updated

May 25, 2026

Imported from OpenNeuro ds005509

Size

224 GB

Updated

May 25, 2026

A large-scale multi-laboratory replication study (N=356) examining N400 effects during sentence comprehension across nine UK institutions. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of article-noun expectancy based on cloze probability. The study tests predictions about phonological pre-activation in language comprehension and provides a comprehensive dataset with standardized acquisition protocols across diverse recording systems and electrode configurations.

Citations

97

Size

102 GB

Updated

Jun 3, 2026

BigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Size

426 MB

Updated

Jun 3, 2026

Imported from OpenNeuro ds005507

Size

139 GB

Updated

May 25, 2026

This dataset comprises EEG recordings from participants performing go-nogo categorization and detection tasks across two recording sessions. Participants viewed briefly presented images (20 ms) and responded according to task-specific rules: lifting a finger for target stimuli (go response) or maintaining button press for non-targets (nogo response). The dataset includes two complementary tasks—animal categorization and image recognition—with systematic manipulation of stimulus presentation and response requirements, providing a rich resource for investigating event-related potentials and decision-making processes.

Size

9.22 GB

Updated

Jun 21, 2026

NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data

Size

250 GB

Updated

May 16, 2026

BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Size

1.95 GB

Updated

Jun 3, 2026

Imported from OpenNeuro ds005510

Size

90.8 GB

Updated

May 25, 2026