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Spam: Software for Practical Analysis of Materials - datasets for tutorials

<p>Datasets for <a href="https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html">spam tutorials</a>:</p> <ul> <li><strong>VEC4</strong> dataset from E.M. Charalampidou, E. Tudisco, S.A. Hall <ul> <li><a href="https://theses.fr/2011GRENI090">Experimental details available here: Charalampidou, E.M. (2011), &quot;Experimental study of localised deformation in porous sandstones&quot;, <em>PhD Thesis</em></a></li> <li>This dataset is two x-ray tomography scans of a notched sandstone sample scanned before and after deformation in an external rig.<br> There is a rigid body displacement between the two scans that can be taken into account nicely with a registration.<br> Scans from Laboratoire 3SR, Grenoble.<br> &nbsp;</li> </ul> </li> <li><strong>M2EA05</strong> dataset from E. And&ograve;, G. Viggiani and J. Andrade.<br> This data already used in the following papers for comparison to numerical simulations: <ul> <li><a href="https://doi.org/10.1016/j.jmps.2016.02.021">Kawamoto, R., And&ograve;, E., Viggiani, G., &amp; Andrade, J. E. (2016). Level set discrete element method for three-dimensional computations with triaxial case study. <em>Journal of the Mechanics and Physics of Solids</em>, <em>91</em>, 1-13</a></li> <li><a href="https://doi.org/10.1680/jgeot.18.T.030">Nadimi, S., Fonseca, J., And&ograve;, E., &amp; Viggiani, G. (2019). A micro finite-element model for soil behaviour: experimental evaluation for sand under triaxial compression. <em>G&eacute;otechnique</em>, 1-6</a></li> <li>This dataset is a series of x-ray tomographies acquired during the triaxial compression of a small sample of a &quot;Martian Simulant&quot; soil, performed in Laboratoire 3SR, Grenoble.<br> &nbsp;</li> </ul> </li> <li> <p><strong>c01_F10_b4</strong> dataset from O. Stamati, E. Roubin, E. And&ograve; and Y. Malecot</p> <ul> <li> <p><em>This dataset belongs to a paper which is under review</em></p> </li> <li> <p>This is a 4-binned x-ray tomography of a small cylindrical sample of <em>micro-concrete</em><br> Scans from Laboratoire 3SR, Grenoble.<br> &nbsp;</p> </li> </ul> </li> <li> <p><strong>SandNX</strong> dataset from M. Milatz</p> <ul> <li> <p><em>The dataset is currently being analysed further</em></p> </li> <li> <p>See this publication for the experimental setup: <a href="https://doi.org/10.1007/s11440-020-00922-y">Milatz, M. (2020). An automated testing device for continuous measurement of the hysteretic water retention curve of granular media. <em>Acta Geotechnica</em>, 1-19</a><br> Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (<a href="https://dx.doi.org/10.5291/ILL-DATA.UGA-73">Experiment UGA-73</a>).<br> Neutron tomography has had a x0.7 downscale to bring it approximately in line with the pixel size for the x-ray tomography.<br> &nbsp;</p> </li> </ul> </li> <li> <p><strong>YehyaConcreteNX</strong> dataset from M. Yehya, A. Tengattini, E. And&ograve;, F. Dufour</p> <ul> <li> <p><a href="https://doi.org/10.1016/j.nima.2018.02.039">Yehya, M., Ando, E., Dufour, F., &amp; Tengattini, A. (2018). Fluid-flow measurements in low permeability media with high pressure gradients using neutron imaging: Application to concrete. <em>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</em>, <em>890</em>, 35-42</a></p> </li> <li> <p>Data acquired on NeXT-Grenoble, a simultaneous Neutron and X-ray scanner at the ILL in Grenoble (<a href="https://dx.doi.org/10.5291/ILL-DATA.UGA-25">Experiment UGA-25</a>).</p> </li> </ul> </li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

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