Research Data Leeds Repository

Dataset associated with 'Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro'

Bowland, Philippa and Ingham, Eileen and Fisher, John and Jennings, Louise (2018) Dataset associated with 'Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro'. University of Leeds. [Dataset] https://doi.org/10.5518/473

Dataset description

Data associated with the paper "Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro". This dataset contains: - Figure 4. Mean shear force values at 120 min test duration plotted against time during one cycle (1s) of the gait cycle (n = 4). - Figure 5. Mean displacement values at 120 min test duration plotted against time during one cycle (1s) of the gait cycle (n = 4). - Figure 7. Volume (mm3) extending beneath the meniscal surface - Figure 8. Penetration depth measured in areas of damage, wear and deformation on the meniscal surface

Keywords:	Tribology, Joint simulator, Natural knee joint, Osteochondral graft, Allograft, Cartilage, Alicona, Wear analysis
Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Biological Sciences > Institute of Medical and Biological Engineering Faculty of Engineering > Institute of Medical and Biological Engineering Faculty of Engineering > School of Mechanical Engineering > Institute of Medical and Biological Engineering
Related resources:	Location Type https://doi.org/10.1016/j.jbiomech.2018.06.014 Publication http://eprints.whiterose.ac.uk/132389/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	21 Nov 2018 14:54
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/454
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 Bowland, Philippa University Of Leeds http://dx.doi.org/10.13039/501100000777 crossref Ingham, Eileen https://orcid.org/0000-0002-9757-3045 University Of Leeds http://dx.doi.org/10.13039/501100000777 Fisher, John https://orcid.org/0000-0003-3833-3700 University Of Leeds http://dx.doi.org/10.13039/501100000777 Jennings, Louise https://orcid.org/0000-0003-1446-4511 University Of Leeds http://dx.doi.org/10.13039/501100000777 Type of data: Dataset Research funders: EPSRC DTC TERM Grant numbers: EP/500513/1 Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Contact Email Address: l.m.jennings@leeds.ac.uk Last Modified: 23 Nov 2018 14:30

Files

Documentation

Read_me.txt [628B] Read_me.txt [628B] Read_me.txt [628B] Visible to: Anyone File name: Read_me.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 628B

Data

Figure 4 Shear Force [9kB] Figure 4 Shear Force [9kB] Figure 4 Shear Force [9kB] Visible to: Anyone File name: Figure_4_Shear_Force.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 9kB

Figure 5 AP Displacement [9kB] Figure 5 AP Displacement [9kB] Figure 5 AP Displacement [9kB] Visible to: Anyone File name: Figure_5_AP_Displacement.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 9kB

Figure 7 Volume [388B] Figure 7 Volume [388B] Figure 7 Volume [388B] Visible to: Anyone File name: Figure_7_Volume.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 388B

Figure 8 Depth [356B] Figure 8 Depth [356B] Figure 8 Depth [356B] Visible to: Anyone File name: Figure_8_Depth.csv Content type: Data Mime-Type: text/csv License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 356B