Research Data Leeds Repository
Items where Author is "Peyman, Sally A."
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Bond, Abigail and Moorhouse, Thomas and Peyman, Sally A. and Gleeson, Helen F. (2025) Dataset associated with: The Behaviour of Nematic Liquid Crystals in Chemically Patterned Millimetre-Sized Rectangular Surfaces.10 University of Leeds. [Dataset] https://doi.org/10.5518/160611
Kpeglo, Delanyo and Haddrick, Malcolm and Knowles, Margaret A. and Evans, Stephen D. and Peyman, Sally A. (2025) Increased effect of microbubble-assisted gemcitabine delivery with repeated ultrasound exposure in a pancreatic cancer organ-on-a-chip model.12 University of Leeds. [Dataset] https://doi.org/10.5518/121813
Boroumand, Ahmad and Hughes, Matt D.G. and Cussons, Sophie and Mahmoudi, Najet and Head, David A. and Peyman, Sally A. and Tyler, Arwen I.I. and Dougan, Lorna (2025) Structural and mechanical scaling law behaviour in folded protein hydrogel networks. [Dataset].14 University of Leeds. [Dataset] https://doi.org/10.5518/163815
Brown, Christa P. and Hughes, Matt D. G. and Mahmoudi, Najet and Brockwell, David J. and Coletta, P. Louise and Peyman, Sally A. and Evans, Stephen D. and Dougan, Lorna (2023) Encapsulation of Microbubbles within Folded Protein Hydrogels: Effects on the mechanical and structural properties.16 University of Leeds. [Dataset] https://doi.org/10.5518/121217
Bourn, Matthew D. and Mohajerani, Safoura Z. and Mavria, Georgia and Ingram, Nicola and Coletta, P. Louise and Evans, Stephen D. and Peyman, Sally A. (2023) "Tumour Associated Vasculature-on-a-chip for the Evaluation of Microbubble-Mediated Delivery of Targeted Liposomes" Dataset.18 University of Leeds. [Dataset] https://doi.org/10.5518/109219
Leva-Bueno, Juan and Meuskens, Ina and Linke, Dirk and Millner, Paul A. and Peyman, Sally A. (2022) Impedimetric biosensor based on extracellular matrix protein-adhesin binding.20 University of Leeds. [Dataset] https://doi.org/10.5518/116521
Abou-Saleh, Radwa H. and Armistead, Fern and Batchelor, Damien V. B. and Johnson, Benjamin and Peyman, Sally A. and Evans, Stephen D. (2021) Data associated with 'Horizon: Microfluidic Platform for the Production of Therapeutic Microbubbles and Nanobubbles'.22 University of Leeds. [Dataset] https://doi.org/10.5518/97323
Batchelor, Damien V. B. and Abou-Saleh, Radwa H. and Coletta, P. Louise and Peyman, Sally A. and McLaughlan, James R. and Evans, Stephen D. (2020) Dataset associated with "Nested-Nanobubbles for Ultrasound Triggered Drug Release".24 University of Leeds. [Dataset] https://doi.org/10.5518/78925
Armistead, Fern and Gala de Pablo, Julia and Gadêlha, Hermes and Peyman, Sally A. and Evans, Stephen D. (2020) Dataset associated with 'Physical biomarkers of disease progression: on-chip monitoring of changes in mechanobiology of colorectal cancer cells'.26 University of Leeds. [Dataset] https://doi.org/10.5518/70227
Abou-Saleh, Radwa H. and Delaney, Aileen and Ingram, Nicola and Johnson, Benjamin and Bushby, Richard J. and Peyman, Sally A. and Coletta, P. Louise and Markham, Alexander F. and Evans, Stephen D. (2020) Freeze-dried therapeutic microbubbles: stability and gas exchange.28 University of Leeds. [Dataset] https://doi.org/10.5518/78829
Bourn, Matthew D. and Batchelor, Damien V. B. and Ingram, Nicola and McLaughlan, James R. and Coletta, P. Louise and Evans, Stephen D. and Peyman, Sally A. (2020) High-throughput Microfluidics for Evaluating Microbubble Enhanced Delivery of Cancer Therapeutics in Spheroid Cultures - Dataset.30 University of Leeds. [Dataset] https://doi.org/10.5518/77731
Armistead, Fern and Gala de Pablo, Julia and Gadêlha, Hermes and Peyman, Sally A. and Evans, Stephen D. (2019) Cells under stress: An inertial-shear microfluidic determination of cell behaviour - dataset.32 University of Leeds. [Dataset] https://doi.org/10.5518/39733
Gala de Pablo, Julia and Armistead, Fern and Peyman, Sally A. and Bonthron, David and Lones, Michael and Smith, Stephen and Evans, Stephen D. (2018) Dataset associated with 'Biochemical fingerprint of colorectal cancer cell lines using label-free live single-cell Raman spectroscopy'.34 University of Leeds. [Dataset] https://doi.org/10.5518/20535
Mico, Victoria and Charalambous, Antonia and Peyman, Sally A. and Abou-Saleh, Radwa H. and Markham, Alexander F. and Coletta, P. Louise and Evans, Stephen D. (2017) Dataset for 'Evaluation of Lipid-Stabilised Tripropionin Nanodroplets as a Delivery Route for Combretastatin A4'.36 University of Leeds. [Dataset] https://doi.org/10.5518/9837
Peyman, Sally A. (2016) Data associated with 'On-chip preparation of nanoscale contrast agents toward high-resolution ultrasound imaging'.38 University of Leeds. [Dataset] https://doi.org/10.5518/3339
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- 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/Atom/Peyman=3ASally_A=2E=3A=3A.xml
- 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/Atom/Peyman=3ASally_A=2E=3A=3A.xml
- 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS/Peyman=3ASally_A=2E=3A=3A.rss
- 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS/Peyman=3ASally_A=2E=3A=3A.rss
- 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/creators/Peyman=3ASally_A=2E=3A=3A/RSS2/Peyman=3ASally_A=2E=3A=3A.xml
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- 9. Peyman=3ASally_A=2E=3A=3A.html
- 10. https://archive.researchdata.leeds.ac.uk/1403/
- 11. https://doi.org/10.5518/1606
- 12. https://archive.researchdata.leeds.ac.uk/1419/
- 13. https://doi.org/10.5518/1218
- 14. https://archive.researchdata.leeds.ac.uk/1423/
- 15. https://doi.org/10.5518/1638
- 16. https://archive.researchdata.leeds.ac.uk/1074/
- 17. https://doi.org/10.5518/1212
- 18. https://archive.researchdata.leeds.ac.uk/1072/
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- 20. https://archive.researchdata.leeds.ac.uk/990/
- 21. https://doi.org/10.5518/1165
- 22. https://archive.researchdata.leeds.ac.uk/854/
- 23. https://doi.org/10.5518/973
- 24. https://archive.researchdata.leeds.ac.uk/685/
- 25. https://doi.org/10.5518/789
- 26. https://archive.researchdata.leeds.ac.uk/645/
- 27. https://doi.org/10.5518/702
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- 30. https://archive.researchdata.leeds.ac.uk/692/
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- 32. https://archive.researchdata.leeds.ac.uk/487/
- 33. https://doi.org/10.5518/397
- 34. https://archive.researchdata.leeds.ac.uk/337/
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- 36. https://archive.researchdata.leeds.ac.uk/148/
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- 39. https://doi.org/10.5518/33