Welcome to Mind Data Hub
Mind Data Hub is a centralized platform for accessing and exploring curated brain-related datasets across multiple modalities.
We aim to accelerate neuroscience and mental health research by offering high-quality imaging data and transparent preprocessing pipelines.
📂 Currently Available Datasets
We currently provide T1-weighted, T2-weighted, DTI, and functional MRI (fMRI) data, along with rich metadata, from the following studies:
📂 Coming Soon
We are working to integrate the following datasets as part of upcoming data releases:
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and dozens of additional datasets currently under review or preprocessing...
These additions will support large-scale, multimodal research and enable the development of clinically meaningful and generalizable AI models.
📂 Preprocessing Documentation
📂 How to Get the Data
Download the data from each dataset's own official website, then use our preprocessing pipelines to prepare it.
📂 How to Cite:
If you use these pipelines in your research, please cite them as follows:
1 - Structural MRI Processing Pipeline
Abbasi, M.H., & Adeli, E. (2025). sMRI Processing Pipeline: A lightweight, end-to-end framework for structural MRI preprocessing and quality control.
Stanford Translational AI Lab, Stanford University. Zenodo.
https://doi.org/10.5281/zenodo.17503175
@software{abbasi2025smri,
author = {Mohammad Hassan Abbasi and Ehsan Adeli},
title = {s{MRI} {P}rocessing {P}ipeline: A lightweight, end-to-end workflow for structural brain {MRI} preprocessing and quality control},
year = {2025},
institution = {Stanford Translational AI Lab, Stanford University},
publisher = {Zenodo},
doi = {10.5281/zenodo.17503175},
url = {https://doi.org/10.5281/zenodo.17503175},
note = {Zenodo, doi: 10.5281/zenodo.17503175},
}2 - Functional MRI Pre-Processing Pipeline
Abbasi, M.H., & Adeli, E. (2025). fMRI Processing Pipeline: A lightweight, end-to-end framework for BIDS-compatible fMRI preprocessing and quality control.
Stanford Translational AI Lab, Stanford University. Zenodo.
https://doi.org/10.5281/zenodo.17516604
@software{abbasi2025fmri,
author = {Mohammad Hassan Abbasi and Ehsan Adeli},
title = {f{MRI} Processing Pipeline: A lightweight, end-to-end framework for {BIDS}-compatible f{MRI} preprocessing and quality control},
year = {2025},
institution = {Stanford Translational AI Lab, Stanford University},
publisher = {Zenodo},
doi = {10.5281/zenodo.17516368},
url = {https://doi.org/10.5281/zenodo.17516604},
note = {Zenodo, doi: 10.5281/zenodo.17516604},
}3 - Diffusion Tensor Imaging (DTI) Pre-Processing Pipeline
Abbasi, M.H., Chau, G., & Adeli, E. (2025). DTI Processing Pipeline: A reproducible framework for diffusion MRI preprocessing, and quality control.
Stanford Translational AI Lab, Stanford University. Zenodo.
https://doi.org/10.5281/zenodo.17503171
@software{abbasi2025dti,
author = {Mohammad Hassan Abbasi and Gustavo Chau and Ehsan Adeli},
title = {{DTI} {P}rocessing {P}ipeline: A reproducible framework for diffusion {MRI} preprocessing and quality control},
year = {2025},
institution = {Stanford Translational AI Lab, Stanford University},
publisher = {Zenodo},
doi = {10.5281/zenodo.17503171},
url = {https://doi.org/10.5281/zenodo.17503171},
note = {Zenodo, doi: 10.5281/zenodo.17503171},
}📂 Vision
Mind Data Hub is designed to support the next generation of neuroscience research, bridging data from imaging, genetics, cognition, and environment into a unified platform for discovery and innovation.