Research Data Leeds Repository

Mechanical Characteristics of Diabetic and Non-Diabetic Plantar Skin to Inform Development of Physical Models Dataset.

Crossland, Sarah R. and Sairally, Francesca and Edwards, Jen and Culmer, Peter R. and Brockett, Claire L. (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 not publicly available. Click the link under ‘Related resources’ to request access via the RADAR Restricted Access Data Repository. You will be asked to complete a request form explaining why you need access to the data. You will receive an initial response to your request within 5 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
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	24 Apr 2023 11:03
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1094
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 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, Jen 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 L. 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 Address: s.r.crossland1@leeds.ac.uk Last Modified: 29 Apr 2024 13:39

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