Data underlying the publication: Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue

doi: 10.4121/14292383.v1
The doi 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: 10.4121/14292383
Datacite citation style:
Van Haaften, Eline E.; Sjeng Quicken; Wouter Huberts; Bouten, C. V. C (Carlijn); Kurniawan, Nicholas A (2021): Data underlying the publication: Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14292383.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This repository contains the data and scripts required to reproduce the subfigures of figure 2 of: van Haaften et al 2021 "Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue" related to the computational simulations.

More specifically, this repository contains:
1) Datasets to visualize the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI) and the strain (ε) in graft at the venous anastomosis in Paraview.
2) Scripts and data to produce histograms of the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI) and the strain (ε) in the graft at the venous anastomosis in MATLAB
history
  • 2021-03-29 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Eindhoven, Department of Biomedical Engineering;
Maastricht University, Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases

DATA

files (1)