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Neuroscience

EEGDash on AWS

The EEG-DaSh (EEG Data Sharing) data archive is a large-scale data-sharing resource for magnetoencephalography and electroencephalography (MEEG) data hosted at the Swartz Center for Computational Neuroscience (SCCN), UC San Diego. It provides curated, BIDS-formatted datasets for neuroscience research, machine learning, and deep learning applications. The archive spans three S3 buckets: (1) the EEGDash bucket for data served through the EEGDash platform, (2) the NEMAR archive containing datasets contributed through the NEMAR (Neuroelectromagnetic Data Archive and Tools Resource) platform, which serves as the upstream data source...

Listed for discovery. Access is provided by the original publisher under its terms.

Data coverage

The EEG-DaSh (EEG Data Sharing) data archive is a large-scale data-sharing resource for magnetoencephalography and electroencephalography (MEEG) data hosted at the Swartz Center for Computational Neuroscience (SCCN), UC San Diego. It provides curated, BIDS-formatted datasets for neuroscience research, machine learning, and deep learning applications. The archive spans three S3 buckets: (1) the EEGDash bucket for data served through the EEGDash platform, (2) the NEMAR archive containing datasets contributed through the NEMAR (Neuroelectromagnetic Data Archive and Tools Resource) platform, which serves as the upstream data source for EEGDash, and (3) a competition-specific collection of datasets adapted and preprocessed for machine learning benchmarks and competitions.

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