Research Data Leeds Repository

Items where Division is "Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering" and Year is 2020

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Number of items: 7.

B

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.¹¹ University of Leeds. [Dataset] https://doi.org/10.5518/777¹²

C

Chau, Chalmers C. and Radford, Sheena E. and Hewitt, Eric W. and Actis, Paolo (2020) Dataset for Macromolecular crowding enhances the detection of DNA and proteins by a solid-state nanopore.¹³ University of Leeds. [Dataset] https://doi.org/10.5518/841¹⁴

D

Demić, Aleksandar and Ikonić, Zoran and Dean, Paul and Indjin, Dragan (2020) Dual Resonance Phonon Photon Phonon THz QCL - data.¹⁵ University of Leeds. [Dataset] https://doi.org/10.5518/864¹⁶

K

Kundu, Iman and Freeman, Joshua R. and Dean, Paul and Li, Lianhe and Linfield, Edmund and Davies, A. Giles (2020) Terahertz photonic integrated circuit for frequency tuning and power modulation - dataset.¹⁷ University of Leeds. [Dataset] https://doi.org/10.5518/756¹⁸

R

Raveendran, Mukhil and Lee, Andrew J. and Sharma, Rajan and Wälti, Christoph and Actis, Paolo (2020) DNA Nanostructure - Nanopipette biosensing.¹⁹ University of Leeds. [Dataset] https://doi.org/10.5518/858²⁰

S

SaeJune, Park and Cunningham, John (2020) Dataset associated with "Determination of permittivity of dielectric analytes in the terahertz frequency range using split ring resonator elements integrated with on-chip waveguide".²¹ University of Leeds. [Dataset] https://doi.org/10.5518/840²²

SaeJune, Park and Cunningham, John (2020) Dataset associated with "Effect of substrate etching on terahertz metamaterial resonances and its liquid sensing applications".²³ University of Leeds. [Dataset] https://doi.org/10.5518/813²⁴

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• 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/Atom/SEEE_2020.xml
• 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/Atom/SEEE_2020.xml
• 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/RSS/SEEE_2020.rss
• 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/RSS/SEEE_2020.rss
• 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/RSS2/SEEE_2020.xml
• 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/divisions/SEEE/2020/RSS2/SEEE_2020.xml
• 9. 2020.type.html
• 10. 2020.default.html
• 11. https://archive.researchdata.leeds.ac.uk/692/
• 12. https://doi.org/10.5518/777
• 13. https://archive.researchdata.leeds.ac.uk/699/
• 14. https://doi.org/10.5518/841
• 15. https://archive.researchdata.leeds.ac.uk/771/
• 16. https://doi.org/10.5518/864
• 17. https://archive.researchdata.leeds.ac.uk/636/
• 18. https://doi.org/10.5518/756
• 19. https://archive.researchdata.leeds.ac.uk/717/
• 20. https://doi.org/10.5518/858
• 21. https://archive.researchdata.leeds.ac.uk/716/
• 22. https://doi.org/10.5518/840
• 23. https://archive.researchdata.leeds.ac.uk/683/
• 24. https://doi.org/10.5518/813