ds004331-fmriprep

# ds004331 - fMRIPrep derivatives

This dataset is a BIDS Derivatives dataset resulting from running fMRIPrep v23.2.0 on [ds004331](https://openneuro.org/datasets/ds004331).

## Methods

fMRIPrep documentation can be found on https://fmriprep.org/en/stable/.

For a complete description of the methods applied to these data, see [logs/CITATION.md](logs/CITATION.md).
This boilerplate text is released under [CC0](https://creativecommons.org/publicdomain/zero/1.0/), and may be used in whole or part to describe the preparation of these data in publications.

Jobs were submitted using [ReproMan](https://reproman.readthedocs.io/en/latest/) in order to improve reproducibility. Output and error logs can be found in .reproman/jobs/local/.

## Acknowledgements

These derivatives were generated on the [Texas Advanced Computing Center](https://www.tacc.utexas.edu/) Frontera computing system [1] through their [Pathways allocation](https://frontera-portal.tacc.utexas.edu/allocations/). This work was also funded by the [NIH BRAIN Initiative](https://grantome.com/grant/NIH/R24-MH117179-03).

[1]: Dan Stanzione, John West, R. Todd Evans, Tommy Minyard, Omar Ghattas, and Dhabaleswar K. Panda. 2020. Frontera: The Evolution of Leadership Computing at the National Science Foundation. In Practice and Experience in Advanced Research Computing (PEARC ’20), July 26–30, 2020, Portland, OR, USA. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3311790.3396656