Research Data Leeds Repository

Dataset for 'Measuring plantar load with STAMPS3D: a preliminary study on the impact of contoured orthoses'

Citation

Sairally, Francesca, Russell, David A., Siddle, Heidi J., Chauhan, Kate, Trinca, Daniele, Brockett, Claire and Culmer, Peter R. (2025) Dataset for 'Measuring plantar load with STAMPS3D: a preliminary study on the impact of contoured orthoses'. University of Leeds. [Dataset] https://doi.org/10.5518/1706

Dataset description

This data set contains data relating to the journal article 'Measuring plantar load with STAMPS3D: a preliminary study on the impact of contoured orthoses', including raw input image pair data, pre-processed DIC strain data and processed regional strain outputs.

Additional information: David Russell is supported in part by the National Institute for Health and Care Research (NIHR) Leeds Biomedical Research Centre (BRC) (NIHR203331) and Advanced Fellowship (NIHR300633). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Keywords: diabetes, diabetic foot, plantar strain, shear, Digital Image Correlation, 3D DIC, contoured orthoses, STAMPS3D
Divisions: Faculty of Biological Sciences > Biomedical and Health Research Centre
Faculty of Engineering and Physical Sciences > Biomedical and Health Research Centre
Faculty of Engineering and Physical Sciences > Biomedical and Health Research Centre
Faculty of Medicine and Health > Biomedical and Health Research Centre

Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Faculty of Medicine and Health > School of Medicine > Leeds Institute of Clinical Trials Research (LICTR)
Faculty of Medicine and Health > School of Medicine > Leeds Institute of Rheumatic & Musculoskeletal Medicine (LIRMM)
Related resources:
LocationType
https://doi.org/10.3389/fbioe.2025.1648649Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 10 Nov 2025 13:49
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1489

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