Data supporting the paper: 2D sensitivity
Datacite citation style:
Egberts, Ginger; Vermolen, Fred; Zuijlen, Paul van; Desmoulière, Alexis (2022): Data supporting the paper: 2D sensitivity. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21400608.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This online resource shows Matlab figures and videos corresponding to the paper Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction. The videos show an example of a simulation. The figures are Matlab figures that were shown in the paper. There is a README.pdf.
history
- 2022-10-27 first online
- 2022-10-28 published, posted
publisher
4TU.ResearchData
format
*.avi; *.fig; *.pdf
associated peer-reviewed publication
Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
data link
https://doi.org/10.4121/21400281
funding
- Dutch Burn Foundation, project 17.105
organizations
TU Delft, Delft Institute of Applied MathematicsUniversity of Hasselt, Department of Mathematics and Statistics
DATA
files (22)
- 221,780 bytesMD5:
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README.pdf - 758,233,352 bytesMD5:
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Collagen_rho.avi - 758,233,352 bytesMD5:
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Displacement_u.avi - 758,233,352 bytesMD5:
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Displacement_v.avi - 60,988 bytesMD5:
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Effects_of_nu_on_RSA.fig - 32,019 bytesMD5:
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Example_mesh_quality.fig - 32,514 bytesMD5:
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Example_RSA_density.fig - 28,381 bytesMD5:
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Example_timestep.fig - 758,233,352 bytesMD5:
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Fibroblasts_N.avi - 2,301,155 bytesMD5:
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Init_FB.fig - 758,233,352 bytesMD5:
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Moving_mesh.avi - 758,233,352 bytesMD5:
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Myofibroblasts_M.avi - 1,474,099 bytesMD5:
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RSA365.fig - 1,042,171 bytesMD5:
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RSA_NM.fig - 1,362,610 bytesMD5:
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RSAday.fig - 52,089 bytesMD5:
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RSAmin.fig - 1,010,936 bytesMD5:
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SED_NM.fig - 1,467,334 bytesMD5:
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SEDday.fig - 1,466,117 bytesMD5:
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SEDmax.fig - 758,233,352 bytesMD5:
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Signaling molecules_c.avi - 758,233,352 bytesMD5:
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Velocity_v1.avi - 758,233,352 bytesMD5:
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Velocity_v2.avi -
download all files (zip)
6,834,652,361 bytes unzipped