DIC performance for huge strains: The X-Strain DIC Challenge (GeM/ECN batch images)
<p>There are in this repository <strong>2 sets of images </strong>of flat elastomeric membranes that are severely deformed (up to several hundred % deformation). A speckle and dots have been deposited on the membranes in order to perform image analysis and measure the deformation fields. The document ’<em>Large_strain_images.pdf’</em> explains how the images were obtained. These images can be used as a benchmark for digital image correlation codes in case of very large deformations (i.e. The X-Strain DIC Challenge, <a href="http://sem.org/dicchallenge">https://sem.org/dicchallenge</a>).</p> <ul> <li>First set of images : 360 bmp images of size 38.8 Mo (<a href="https://zenodo.org/api/files/dbac452a-e701-4b5d-b05c-edafa7e442c8/20190926.zip">20190926.zip</a>)</li> <li>Second set of images : 820 bmp images of size 32.5 Mo (<a href="https://zenodo.org/api/files/dbac452a-e701-4b5d-b05c-edafa7e442c8/20191220.zip">20191220.zip</a>) </li> <li>Technical data sheet of the materials (<a href="https://zenodo.org/api/files/dbac452a-e701-4b5d-b05c-edafa7e442c8/Data_sheet.zip">Data_sheet.zip</a>)</li> <li>A technical report on how the images where obtained (<a href="https://zenodo.org/api/files/dbac452a-e701-4b5d-b05c-edafa7e442c8/Large_strain_Images.pdf">Large_strain_Images.pdf</a>)</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
Topics
Dataset details
- Repository
- zenodo
- Published
- November 8, 2020
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.4264959
Scored with release 0.9.0
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