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Rt-Cloud rtAttenPenn Sample DICOM data

<p>This upload contains&nbsp;the same data as published in&nbsp;<a href="https://doi.org/10.5281/zenodo.3677090">our previous zenodo dataset upload</a>. Unlike our previous upload,&nbsp;this version contains data&nbsp;after&nbsp;transferring the DICOMs&nbsp;directly from the Siemens Skyra 3T to our Linux machine (as done in real-time experiments). The purpose of this separate upload is to serve as sample data for our&nbsp;<a href="https://github.com/brainiak/rt-cloud">real-time cloud software</a>, for the r<a href="https://github.com/brainiak/rtAttenPenn_cloud">tAttenPenn project</a>. A previous version of this same data was uploaded for a different&nbsp;rt-cloud&nbsp;<a href="https://github.com/amennen/amygActivation">sample project</a>&nbsp;<a href="https://doi.org/10.5281/zenodo.3862783">(zenodo link here)</a>.&nbsp; For the current sample project, we are additionally including a T1w anatomical scan for real-time registration. All&nbsp;brain data are contributed by author S.A.N. and are authorized for non-anonymized distribution.</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4