Research Data Leeds Repository

Citation

Askew, Graham, Hill, Sophia, Payne, Molly, Stewart, Todd, Charles, Danielle and Brown, Andy (2026) Data for 'Running economy benefits of shoes incorporating advanced footwear technology decrease with increasing incline and are negligible above moderate gradients'. University of Leeds. [Dataset] https://doi.org/10.5518/1823

Dataset description

These data relate to an investigation into the energetic cost of gradient running in running shoes incorporating advanced footwear technology, in comparison to a traditional running shoe. The data are gross metabolic rate (rate of oxygen consumption) in two running shoe conditions - Nike ZoomX Vaporfly Next% shoe (VF) and Nike ZoomX Streakfly shoe (SF). The running economy benefit of VF relative to SF decreased with increasing incline.

Keywords:	elastic mechanism, running economy, super-shoes, Nike Vaporfly shoe, incline, gradient
Subjects:	B000 - Subjects allied to medicine > B800 - Medical technology > B830 - Biomechanics & prosthetics (non-clinical) C000 - Biological sciences > C600 - Sport & exercise science > C650 - Sport technology F000 - Physical sciences > F200 - Materials science
Divisions:	Faculty of Biological Sciences > School of Biomedical Sciences
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	30 Apr 2026 15:28
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1544
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 Askew, Graham https://orcid.org/0000-0003-1010-4439 University of Leeds https://ror.org/024mrxd33 ror Hill, Sophia University of Leeds https://ror.org/024mrxd33 ror Payne, Molly University of Leeds https://ror.org/024mrxd33 ror Stewart, Todd https://orcid.org/0000-0002-6868-9938 University of Leeds https://ror.org/024mrxd33 ror Charles, Danielle https://orcid.org/0000-0002-9250-3654 University of Leeds https://ror.org/024mrxd33 ror Brown, Andy https://orcid.org/0000-0001-9692-2154 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: University of Leeds Publication date: 2026 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: g.n.askew@leeds.ac.uk Last Modified: 01 May 2026 09:30

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Documentation

Readme_Askew_2026.txt [3kB] Readme_Askew_2026.txt [3kB] Readme_Askew_2026.txt [3kB] Security: Anyone File name: Readme_Askew_2026.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Askew_et_al_data.xlsx [19kB] Askew_et_al_data.xlsx [19kB] Askew_et_al_data.xlsx [19kB] Security: Anyone File name: Askew_et_al_data.xlsx Content type: Data Description: Metabolic and shoe data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 19kB