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Meta-Organized Stimuli And fMRI Imaging data for Computational modeling (MOSAIC)

brain images brain models hdf5 machine learning neuroimaging neuroscience

Description

This extensible dataset, MOSAIC, aggregates individual functional magnetic resonance imaging (fMRI) datasets by leveraging a shared preprocessing pipeline and stimulus curation procedure. This dataset aggregation procedure achieves the scale necessary for neural network training and the diversity needed for generalizable results.

Update Frequency

New data is uploaded as researchers preprocess their fMRI data according to MOSAIC format and submit.

License

CC BY 4.0

Documentation

https://github.com/blahner/mosaic-preprocessing

Managed By

Massachusetts Institute of Technology, Georgia Tech

See all datasets managed by Massachusetts Institute of Technology, Georgia Tech.

Contact

blahner@mit.edu

How to Cite

Meta-Organized Stimuli And fMRI Imaging data for Computational modeling (MOSAIC) was accessed on DATE from https://registry.opendata.aws/mosaic.

Usage Examples

Tutorials

Resources on AWS

  • Description
    HDF5 files containing preprocessed fMRI data
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::mosaic-fmri
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://mosaic-fmri/
    Explore
    Browse Bucket

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