Data support for: "CCPi-Regularisation Toolkit for computed tomographic image reconstruction with proximal splitting algorithms"
<p>Provided tomographic projection data supports the publication in SoftwareX journal "<strong>CCPi-Regularisation Toolkit for computed tomographic image reconstruction with proximal splitting algorithms</strong>" published in 2019.</p> <ul> <li><em>TomoSim_data1550671417.h5</em> - is a simulated 3D tomographic projection data with noise and artifacts. The simulation is implemented using <a href="https://github.com/dkazanc/TomoPhantom">TomoPhantom</a> software.</li> <li><em>DendrData_3D.h5 - </em>is a real dataset obtained at I13 branchline of Diamond Light Source. It features a selected time frame out of dynamically collected tomographic data. Data shows a <a href="https://www.sciencedirect.com/science/article/pii/S1359645418302994?via%3Dihub">dendritic grain growth in Mg alloys</a>.</li> </ul> <p>The scripts to replicate the results shown in the paper are available at the Github page of the project: <a href="https://github.com/vais-ral/CCPi-Regularisation-Toolkit">CCPi-Regularisation-Toolkit</a></p> <p> </p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0