Rt-Cloud rtAttenPenn Sample DICOM data
<p>This upload contains the same data as published in <a href="https://doi.org/10.5281/zenodo.3677090">our previous zenodo dataset upload</a>. Unlike our previous upload, this version contains data after transferring the DICOMs 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 <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 rt-cloud <a href="https://github.com/amennen/amygActivation">sample project</a> <a href="https://doi.org/10.5281/zenodo.3862783">(zenodo link here)</a>. For the current sample project, we are additionally including a T1w anatomical scan for real-time registration. All 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