EEGDASH Documentation

EEG Dash Homepage

The EEG-DaSh data archive will establish a data-sharing resource for MEEG (EEG, MEG) data, enabling large-scale computational advancements to preserve and share scientific data from publicly funded research for machine learning and deep learning applications.

The EEG-DaSh data archive is a collaborative effort led by the University of California, San Diego (UCSD) and Ben-Gurion University of the Negev (BGU) and partially funded by the National Science Foundation (NSF). All are welcome to contribute to the sccn/EEGDash project.

The archive is currently still in beta testing mode, so be kind.

Institutions