Princeton Handbook for Reproducible Neuroimaging: Sample Data

<p>This archive contains a raw DICOM dataset acquired (with informed consent) using the <a href="https://github.com/ReproNim/reproin">ReproIn</a> naming convention on a Siemens Skyra 3T MRI scanner. The dataset includes a T1-weighted anatomical image, four functional runs with the &ldquo;prettymouth&rdquo; spoken story stimulus, and one functional run with a block design emotional faces task, as well as auxiliary scans (e.g., scout, soundcheck). The &ldquo;prettymouth&rdquo; story stimulus created by&nbsp;<a href="https://doi.org/10.1177%2F0956797616682029">Yeshurun et al., 2017</a> and is available as part of the <a href="https://openneuro.org/datasets/ds002345">Narratives</a> collection,&nbsp;and the emotional faces task is similar to <a href="https://doi.org/10.1016/j.nicl.2015.05.004">Chai et al., 2015</a>. These data are intended for use with the <a href="https://brainhack-princeton.github.io/handbook/">Princeton Handbook for Reproducible Neuroimaging</a>. The handbook provides guidelines for BIDS conversion and execution of BIDS apps (e.g., fMRIPrep, MRIQC). The brain data are contributed by author S.A.N. and are authorized for non-anonymized distribution.</p>