Open data
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    Deployed 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 for EEGDash, and (3) a competition-specific collection of datasets adapted and preprocessed for machine learning benchmarks and competitions.

    Overview

    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.

    Features and programs

    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.

    Pricing

    This is a publicly available data set. No subscription is required.

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    Usage information

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    Delivery details

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    Open data resources

    Available with or without an AWS account.

    How to use
    To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more 
    Description
    EEGDash data
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::eegdash
    AWS region
    us-east-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://eegdash/
    Description
    NEMAR datasets - primary archive of MEEG datasets contributed through the NEMAR platform
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nemar
    AWS region
    us-east-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nemar/
    Description
    Competition datasets - MEEG datasets adapted and preprocessed for machine learning benchmarks
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::nmdatasets
    AWS region
    us-east-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://nmdatasets/
    Description
    Notifications for EEGDash
    Resource type
    SNS topic
    Amazon Resource Name (ARN)
    arn:aws:sns:us-east-2:191754232783:eegdash-nemar
    AWS region
    us-east-2

    Resources

    Support

    How to cite

    EEGDash on AWS was accessed on DATE from https://registry.opendata.aws/eegdash .

    License

    There are no restrictions on the use of this data.