cff-version: 1.2.0
abstract: "<p>This online resource provides the relevant data for the forthcoming article <em>DeepONet models for predicting post-burn contraction. </em>The archived folder "data.zip" contains MATLAB data files for training and evaluating the DeepONet models. These datasets were created using MATLAB code available at <a href="https://doi.org/10.4121/21257199" target="_blank">https://doi.org/10.4121/21257199</a>. The Python code for handling the MATLAB data, training, and evaluating the DeepONet models is available at <a href="https://github.com/Selma24/DeepONet-contraction" target="_blank">https://github.com/Selma24/DeepONet-contraction</a>.</p>"
authors:
  - family-names: Husanović
    given-names: Selma
  - family-names: Heinlein
    given-names: Alexander
  - family-names: Egberts
    given-names: Ginger
    orcid: "https://orcid.org/0000-0003-3601-6496"
  - family-names: Vermolen
    given-names: Fred
    orcid: "https://orcid.org/0000-0003-2212-1711"
title: "Code supporting the paper: DeepONet models for predicting post-burn contraction"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/69d1aefc-a01d-4280-8b32-5c8420d9a2a3.v1
license: CC BY 4.0
date-released: 2024-10-30