Research Data Leeds Repository

Citation

Crossland, Sarah R. and Sairally, Francesca and Edwards, Jennifer and Culmer, Peter R. and Brockett, Claire (2023) Mechanical Characteristics of Diabetic and Non-Diabetic Plantar Skin to Inform Development of Physical Models Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1331

Dataset description

This data set contains data relating to the journal article "Evaluating the use of a novel low-cost measurement insole to characterise plantar foot strain during gait loading regimes", including raw input image data, pre-processed strain data and processed regional strain outputs.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics)
Divisions:	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 Faculty of Engineering and Physical Sciences > School of Mechanical Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Functional Surfaces
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/38/ Dataset https://doi.org/10.1016/j.jmbbm.2023.106279 Publication https://eprints.whiterose.ac.uk/211880/ Publication
Date deposited:	24 Apr 2023 11:03
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1094
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Crossland, Sarah R. https://orcid.org/0000-0002-1183-0275 University of Leeds https://ror.org/024mrxd33 ror Sairally, Francesca https://orcid.org/0000-0002-0641-9350 University of Leeds https://ror.org/024mrxd33 ror Edwards, Jennifer https://orcid.org/0000-0003-4152-6140 University of Leeds https://ror.org/024mrxd33 ror Culmer, Peter R. https://orcid.org/0000-0003-2867-0420 University of Leeds https://ror.org/024mrxd33 ror Brockett, Claire https://orcid.org/0000-0002-6664-7259 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/L01629X/1, EP/L014823/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: s.r.crossland1@leeds.ac.uk Last Modified: 26 Nov 2024 09:38

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