Research Data Leeds Repository

Dataset associated with 'A geometric method for estimating dimensional change of retrieved dual mobility liners for total hip replacement'

Smeeton, Mackenzie (2023) Dataset associated with 'A geometric method for estimating dimensional change of retrieved dual mobility liners for total hip replacement'. University of Leeds. [Dataset] https://doi.org/10.5518/1312

Dataset description

Dataset associated with 'A geometric method for estimating dimensional change of retrieved dual mobility liners for total hip replacement.' This includes data associated with the repeatability analysis (i.e., raw outputs relating to the geometric variance of each repeated measure) and verification study (i.e., associated heatmap and surface images for three of the five samples assessed).

Additional information:	The data is not publicly available. Request access using the link below to the RADAR repository. You will be asked to complete a request form and explain why you need access to the data. You will receive a response to your request within 5 working days.
Keywords:	Total Hip Replacement; Dual Mobility; Geometric Assessment; Coordinate Measuring Machine; Explant Analysis
Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:	Location Type https://doi.org/10.1177/0954411923117611 Publication https://eprints.whiterose.ac.uk/198906/ Publication https://radar.researchdata.leeds.ac.uk/51/ Dataset
Date deposited:	30 Jan 2024 10:32
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1231
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 Smeeton, Mackenzie https://orcid.org/0000-0001-7639-1368 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, DePuy Synthes Grant numbers: EP/R003971/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact Email Address: m.t.smeeton@leeds.ac.uk Last Modified: 22 Mar 2024 17:00

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Readme file [2kB] Readme file [2kB] Readme file [2kB] Visible to: Anyone File name: README_Smeeton_2023.txt Content type: Documentation Description: File documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB