Research Data Leeds Repository

Citation

Crossland, Sarah R., Siddle, Heidi J., Brockett, Claire and Culmer, Peter R. (2023) Evaluating the use of a novel low-cost measurement insole to characterise plantar foot strain during gait loading regimes - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1309

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.
Keywords:	diabetes, shear, strain, plantar, digitial image correlation
Subjects:	B000 - Subjects allied to medicine > B800 - Medical technology > B830 - Biomechanics & prosthetics (non-clinical) H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Mechanical Engineering Faculty of Medicine and Health > School of Medicine > Leeds Institute of Rheumatic & Musculoskeletal Medicine (LIRMM)
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/36/ Dataset https://doi.org/10.3389/fbioe.2023.1187710 Publication https://doi.org/10.1101/2023.04.04.23288138 Publication https://eprints.whiterose.ac.uk/202478/ Publication
Date deposited:	21 Apr 2023 16:54
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1092
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 Siddle, Heidi J. https://orcid.org/0000-0002-6015-332X University of Leeds https://ror.org/024mrxd33 ror Brockett, Claire https://orcid.org/0000-0002-6664-7259 University of Sheffield https://ror.org/05krs5044 ror Culmer, Peter R. https://orcid.org/0000-0003-2867-0420 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/L01629X/1. Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: s.r.crossland1@leeds.ac.uk Last Modified: 08 Dec 2025 15:42

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Read me [3kB] Read me [3kB] Read me [3kB] Security: Anyone File name: 00_README_Crossland_2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB