Research Data Leeds Repository

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

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

This item is part of the Tribology of the Plantar Aspect in Relation to Diabetic Ulceration collection.

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:
LocationType
https://radar.researchdata.leeds.ac.uk/38/Dataset
https://doi.org/10.1016/j.jmbbm.2023.106279Publication
https://eprints.whiterose.ac.uk/211880/Publication
Date deposited: 24 Apr 2023 11:03
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1094

Files

Documentation

Research Data Leeds Repository is powered by EPrints
Copyright © University of Leeds