Data underlying the publication: Computational analysis of heart valve growth and remodeling after the Ross procedure

DOI:10.4121/0d75d445-0f1a-4e92-9b80-bec9afc10556.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/0d75d445-0f1a-4e92-9b80-bec9afc10556
Datacite citation style:
Middendorp, Elmer; Braeu, Fabian; Baaijens, Frank; Humphrey, Jay; Cyron, Christian et. al. (2024): Data underlying the publication: Computational analysis of heart valve growth and remodeling after the Ross procedure. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0d75d445-0f1a-4e92-9b80-bec9afc10556.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Simulation and analysis codes that describe and predict the adaptation of a ross autograph after being exposed to increased pressure. This contains abaqus input files (.inp), material models (fortran free form .f), abaqus output (.odb), and analysis and postprocessing codes (.py and .m)

History

  • 2024-09-01 first online, published, posted

Publisher

4TU.ResearchData

Format

abaqus input files (.inp), material models (fortran free form .f), abaqus output (.odb), and analysis and postprocessing codes (.py and .m) compressed in a .zip file

Funding

  • Predicting cardiovascular regeneration: integrating mechanical cues and signaling pathways (grant code 802967) [more info...] European Research Council

Organizations

TU Eindhoven, Department of Biomedical Engineering;
Singapore Eye Research Institute;
Yale University, Department of Biomedical Engineering;
Helmholtz-Zentrum Hereon

DATA

Files (1)