Research Data Leeds Repository
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Items where Author is "Askew, Graham"
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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
Askew, Graham (2025) Energetics of free- and tethered-flight in bumblebees (Bombus terrestris, Linnaeus 1758). University of Leeds. [Dataset] https://doi.org/10.5518/1717
Askew, Graham and Gladman, Nicholas W. (2024) Cuttlefish energetics dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1598
Askew, Graham (2023) How birds dissipate heat before, during and after flight. University of Leeds. [Dataset] https://doi.org/10.5518/1451
Askew, Graham (2023) The hydrodynamics of jet propulsion swimming in hatchling and juvenile European common cuttlefish Sepia officinalis, Linnaeus (1758). University of Leeds. [Dataset] https://doi.org/10.5518/1409
Gladman, Nicholas W. and Askew, Graham (2022) The mechanical properties of the mantle muscle of European cuttlefish (Sepia officials) - data. University of Leeds. [Dataset] https://doi.org/10.5518/1271
Askew, Graham (2019) Energy cost of ambulation in trans-tibial amputees using a dynamic-response foot with hydraulic versus rigid ‘ankle’: insights from body centre of mass dynamics. University of Leeds. [Dataset] https://doi.org/10.5518/272
Askew, Graham and Neil, Thomas R. (2018) Jet-paddling jellies: swimming performance in the Rhizostomeae jellyfish Catostylus mosaicus (Quoy and Gaimard, 1824) - videos. University of Leeds. [Dataset] https://doi.org/10.5518/460
Askew, Graham and Neil, Thomas R. (2017) Dataset associated with study on swimming mechanics and propulsive efficiency in the chambered nautilus. University of Leeds. [Dataset] https://doi.org/10.5518/192
McFarlane, Laura, Altringham, John and Askew, Graham (2016) Take-off flight performance in blue tits. University of Leeds. [Dataset] https://doi.org/10.5518/51