Research Data Leeds Repository

Dataset

Ye, Sunjie and Wheeler, May C. and McLaughlan, James R. and Tamang, Abiral and Diggle, Christine P. and Cespedes, Oscar and Markham, Alexander F. and Coletta, P. Louise and Evans, Stephen D. (2018) Dataset associated with 'Developing Hollow-channel Gold Nanoflowers as Trimodal Intracellular Nanoprobes'. University of Leeds. [Dataset] https://doi.org/10.5518/408

Lepadatu, Serban and Saarikoski, Henri and Beacham, Robert and Benitez, Maria J. and Moore, Thomas A. and Burnell, Gavin and Sugimoto, Satoshi and Yesudas, Daniel and Wheeler, May C. and Miguel, Jorge and Dhesi, Sarnjeet S. and McGrouther, Damien and McVitie, Stephen and Tatara, Gen and Marrows, Christopher H. (2017) Data associated with 'Synthetic ferrimagnet nanowires with very low critical current density for coupled domain wall motion'. University of Leeds. [Dataset] https://doi.org/10.5518/175

Wheeler, May C. and Al Ma'Mari, Fatma and Rogers, Matthew and Gonçalves, Francisco J. and Moorsom, Timothy and Brataas, Arne and Stamps, Robert L. and Ali, Mannan and Burnell, Gavin and Hickey, Bryan J. and Cespedes, Oscar (2017) Data on Optical Conversion of Pure Spin Currents in Hybrid Molecular Devices. University of Leeds. [Dataset] https://doi.org/10.5518/228

Ye, Sunjie and Benz, Felix and Wheeler, May C. and Oram, Joseph and Baumberg, Jeremy J. and Cespedes, Oscar and Christenson, Hugo K. and Coletta, P. Louise and Jeuken, Lars J. C. and Markham, Alexander F. and Critchley, Kevin and Evans, Stephen D. (2016) Data associated with 'One-step Fabrication of Hollow-channel Gold Nanoflowers with Excellent Catalytic Performance and Large Single-particle SERS Activity'. University of Leeds. [Dataset] https://doi.org/10.5518/66

Al Ma'Mari, Fatma and Moorsom, Timothy and Teobaldi, Gilberto and Deacon, William and Prokscha, Thomas and Luetkens, Hubertus and Lee, Stephen and Sterbinsky, George E. and Arena, Dario A. and MacLaren, Donald A. and Flokstra, Machiel G. and Ali, Mannan and Wheeler, May C. and Burnell, Gavin and Hickey, Bryan J. and Cespedes, Oscar (2015) Beating the Stoner Criterion. University of Leeds. [Dataset] https://doi.org/10.5518/6