Research Data Leeds Repository

Dataset associated with ‘Optimising Computational Methods of Modelling Vertebroplasty in Experimentally Augmented Human Lumbar Vertebrae’

Day, Gavin A. and Jones, Alison C. and Wilcox, Ruth K. (2019) Dataset associated with ‘Optimising Computational Methods of Modelling Vertebroplasty in Experimentally Augmented Human Lumbar Vertebrae’. University of Leeds. [Dataset] https://doi.org/10.5518/738

Dataset description

The dataset contains a spreadsheet with the raw data from the experimental and computational tests carried out in the associated paper. Additionally, an example Abaqus input file and output file.

Keywords:	Spine, Biomechanics, Vertebroplasty
Subjects:	B000 - Subjects allied to medicine > B800 - Medical technology > B830 - Biomechanics & prosthetics (non-clinical) H000 - Engineering > H100 - General engineering > H130 - Computer-aided engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:	Location Type https://doi.org/10.1002/jsp2.1077 Publication https://eprints.whiterose.ac.uk/156450/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	06 Jan 2020 14:42
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/624
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Day, Gavin A. https://orcid.org/0000-0003-2197-8318 University Of Leeds https://doi.org/10.13039/501100000777 crossref Jones, Alison C. https://orcid.org/0000-0002-4984-7507 University Of Leeds https://doi.org/10.13039/501100000777 Wilcox, Ruth K. https://orcid.org/0000-0003-2736-7104 University Of Leeds https://doi.org/10.13039/501100000777 Type of data: Dataset Research funders: EPSRC, ERC Grant numbers: EP/L014823/1, 2012-StG-306615 Publication date: 2019 Resource language: English Publisher: University of Leeds Contact Email Address: G.Day1@leeds.ac.uk Last Modified: 10 Jun 2020 17:11

Files

Documentation

Readme [420B] Readme [420B] Readme [420B] Visible to: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 420B

Data

Results [15kB] Results [15kB] Results [15kB] Visible to: Anyone File name: Results.xlsx Content type: Data Description: Results of the computational and experimental tests Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 15kB

Setup script [14kB] Setup script [14kB] Setup script [14kB] Visible to: Anyone File name: modelSetupScript.py Content type: Data Description: A python scrip to setup and run the FE models License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

Spine 1 L1 input file [31MB] Spine 1 L1 input file [31MB] Spine 1 L1 input file [31MB] Visible to: Anyone File name: Spine1_L1_example_input.inp Content type: Data Description: An example input file License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 31MB

Spine 1 L1 output file [837MB] Spine 1 L1 output file [837MB] Spine 1 L1 output file [837MB] Visible to: Anyone File name: Spine1_L1_example_output.odb Content type: Data Description: An example abaqus output file Mime-Type: application/vnd.oasis.opendocument.database License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 837MB