EEG-Datasets is a curated collection of publicly available electroencephalography datasets.
The project addresses the challenge of discovering and accessing EEG data for research and development. Rather than building infrastructure, it serves as a centralized reference that aggregates links to existing public EEG datasets, making it easier for researchers and developers to locate relevant data sources without extensive searching across disparate repositories and institutions.
Researchers working with brain-computer interfaces, neuroscience applications, or machine learning models trained on EEG signals should consider this resource. It suits projects that require access to standardized datasets for validation, benchmarking, or proof-of-concept work. The collection is intentionally non-exhaustive, and the README explicitly invites community contributions to expand coverage and verify dataset accessibility.
The project maintains an open contribution model where users are encouraged to add newly discovered datasets or report on datasets they have explored in depth. This collaborative approach means the resource grows through community participation rather than dedicated maintenance cycles.
