Research Data Leeds Repository

Items where Division is "Faculty of Biological Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering" and Year is 2018

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Number of items: 7.

B

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

Brockett, Claire and Carbone, Silvia and Fisher, John and Jennings, Louise (2018) Influence of conformity on the wear of total knee replacement: An experimental study - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/290

C

Cooper, Robert J. and Williams, Sophie and Mengoni, Marlène and Jones, Alison (2018) Dataset associated with 'Patient-specific parameterised cam geometry in finite element models of femoroacetabular impingement of the hip'. University of Leeds. [Dataset] https://doi.org/10.5518/326

Cowie, Raelene and Jennings, Louise (2018) Data associated with 'The Influence of Calcium Sulfate Bone Void Filler on the Third Body Damage and Polyethylene Wear of Total Knee Replacements'. University of Leeds. [Dataset] https://doi.org/10.5518/157

Cowie, Raelene and Jennings, Louise (2018) Data associated with “Wear and Friction of UHMWPE-on-PEEK OPTIMA™”. University of Leeds. [Dataset] https://doi.org/10.5518/435

E

Edwards, Jennifer and Herbert, Anthony (2018) Strain rate dependant and dynamic mechanical properties of porcine superflexor tendons - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/467

Z

Zapata-Cornelio, Fernando and Wilcox, Ruth (2018) A methodology for the generation and non-destructive characterisation of transverse fractures in long bones – Data set. University of Leeds. [Dataset] https://doi.org/10.5518/344

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