Research Data Leeds Repository
Items where Division is "Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering" and Year is 2023
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Aramendia, Emmanuel, Brockway, Paul E., Taylor, Peter G. and Norman, Jonathan B. (2023) Dataset associated with "Global energy consumption of the mineral mining industry: exploring the historical perspective and future pathways to 2060". University of Leeds. [Dataset] https://doi.org/10.5518/1420
Brocza, Flora M. (2023) Systematic literature review: Manganese Oxide - biochar composites. University of Leeds. [Dataset] https://doi.org/10.5518/1307
Chen, Hangyu, Kivan, Oguzhan and Hunter, Timothy N. (2023) Simulation of bidisperse colloidal centrifugal sedimentation using a mixture viscosity model - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1421
Collins, Sean M., Sapnik, Adam F., Sun, Chao, Laulainen, Joonatan E. M., Johnstone, Duncan N., Brydson, Rik, Johnson, Timothy, Midgley, Paul A. and Bennett, Thomas D. (2023) Scanning electron diffraction data on Fe-BTC and MIL-100. University of Leeds. [Dataset] https://doi.org/10.5518/1269
Jackson, Alexander S. M., Goberdhan, Dhanesh, Dowding, Peter J. and Roberts, Kevin J. (2023) Data for Crystallisation of a Homologous Series of Single and Mixed n-Alkanes (C16 – C23) from Representative Hydrocarbon Fuel Solvents. University of Leeds. [Dataset] https://doi.org/10.5518/1299
Kivan, Oguzhan, Yusuf, Muhammad, Harbottle, David and Hunter, Timothy N. (2023) Removal of cesium and strontium ions with enhanced solid-liquid separation by combined ion exchange and BaSO4 co-precipitation. University of Leeds. [Dataset] https://doi.org/10.5518/1465
Palvai, Sandeep and Ong, Zhan Yuin (2023) Data associated with 'Free-Standing Hierarchically Porous Silica Nanoparticle Superstructures: Bridging the Nano- to Microscale for Tailorable Delivery of Small and Large Therapeutics'. University of Leeds. [Dataset] https://doi.org/10.5518/1400
Reed, Monty (2023) Monty Reed PhD Thesis Videos - Mechanistic Understanding of Spray Dried APIs. University of Leeds. [Dataset] https://doi.org/10.5518/1249


