Discover datasets

HEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset designed for brain-computer interface applications in intracerebral hemorrhage rehabilitation. The dataset comprises 37 participants (17 healthy controls and 20 ICH patients) performing 2-class hand motor imagery tasks (left and right hand grasping) across 1-6 sessions per subject. With 32-channel EEG recordings at 256 Hz and approximately 3,330 trials, this dataset supports the development and evaluation of BCI systems for clinical stroke rehabilitation.

Size

2.58 GB

Updated

Jun 3, 2026

A multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.

Size

63.4 GB

Updated

Jun 3, 2026

Size

22.4 MB

Updated

May 16, 2026

Participants

21

Imported from OpenNeuro ds004362

Size

11.1 GB

Updated

May 23, 2026

The PURSUE N2pc Visual Search dataset comprises event-related potential (ERP) recordings from a visual search task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 and represent a component of the ERP CORE resource for standardized human electrophysiological research. The dataset includes demographic information and is designed to facilitate investigation of the N2pc component, a neural marker of attentional selection during visual search.

Size

12.2 GB

Updated

Jun 3, 2026

Participants

9

Participants

20

Size

10.2 GB

Updated

May 18, 2026

Participants

28