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Biaxial mechanical data of porcine atrioventricular valve leaflets
This dataset contains the anisotropic tissue responses of porcine atrioventricular valve leaflets to force-controlled biaxial mechanical testing. The set includes the first Piola-Kirchhoff Stress and the specimen stretches (λ) in both circumferential and radial tissue directions (C and R, respective...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197746/ https://www.ncbi.nlm.nih.gov/pubmed/30364794 http://dx.doi.org/10.1016/j.dib.2018.09.073 |
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author | Jett, Samuel Laurence, Devin Kunkel, Robert Babu, Anju R. Kramer, Katherine Baumwart, Ryan Towner, Rheal Wu, Yi Lee, Chung-Hao |
author_facet | Jett, Samuel Laurence, Devin Kunkel, Robert Babu, Anju R. Kramer, Katherine Baumwart, Ryan Towner, Rheal Wu, Yi Lee, Chung-Hao |
author_sort | Jett, Samuel |
collection | PubMed |
description | This dataset contains the anisotropic tissue responses of porcine atrioventricular valve leaflets to force-controlled biaxial mechanical testing. The set includes the first Piola-Kirchhoff Stress and the specimen stretches (λ) in both circumferential and radial tissue directions (C and R, respectively) for the mitral valve anterior and posterior leaflets (MVAL and MVPL), and the tricuspid valve anterior, posterior, and septal leaflets (TVAL, TVPL, and TVSL) from six porcine hearts at five separate force-controlled biaxial loading protocols. This dataset is associated with a companion journal article, which can be consulted for further information about the methodology, results, and discussion of this biaxial mechanical testing (Jett et al., in press) [1]. |
format | Online Article Text |
id | pubmed-6197746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61977462018-10-24 Biaxial mechanical data of porcine atrioventricular valve leaflets Jett, Samuel Laurence, Devin Kunkel, Robert Babu, Anju R. Kramer, Katherine Baumwart, Ryan Towner, Rheal Wu, Yi Lee, Chung-Hao Data Brief Engineering This dataset contains the anisotropic tissue responses of porcine atrioventricular valve leaflets to force-controlled biaxial mechanical testing. The set includes the first Piola-Kirchhoff Stress and the specimen stretches (λ) in both circumferential and radial tissue directions (C and R, respectively) for the mitral valve anterior and posterior leaflets (MVAL and MVPL), and the tricuspid valve anterior, posterior, and septal leaflets (TVAL, TVPL, and TVSL) from six porcine hearts at five separate force-controlled biaxial loading protocols. This dataset is associated with a companion journal article, which can be consulted for further information about the methodology, results, and discussion of this biaxial mechanical testing (Jett et al., in press) [1]. Elsevier 2018-10-03 /pmc/articles/PMC6197746/ /pubmed/30364794 http://dx.doi.org/10.1016/j.dib.2018.09.073 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Jett, Samuel Laurence, Devin Kunkel, Robert Babu, Anju R. Kramer, Katherine Baumwart, Ryan Towner, Rheal Wu, Yi Lee, Chung-Hao Biaxial mechanical data of porcine atrioventricular valve leaflets |
title | Biaxial mechanical data of porcine atrioventricular valve leaflets |
title_full | Biaxial mechanical data of porcine atrioventricular valve leaflets |
title_fullStr | Biaxial mechanical data of porcine atrioventricular valve leaflets |
title_full_unstemmed | Biaxial mechanical data of porcine atrioventricular valve leaflets |
title_short | Biaxial mechanical data of porcine atrioventricular valve leaflets |
title_sort | biaxial mechanical data of porcine atrioventricular valve leaflets |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197746/ https://www.ncbi.nlm.nih.gov/pubmed/30364794 http://dx.doi.org/10.1016/j.dib.2018.09.073 |
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