Research Data Leeds Repository
Items where Year is 2018
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Abbas, Syed Zaheer and Dupont, Valerie and Mahmud, Tariq (2018) Dataset associated with "Modelling of H2 production via sorption enhanced steam methane reforming at reduced pressures for small scale applications".11 University of Leeds. [Dataset] https://doi.org/10.5518/48512
Abou-Saleh, Radwa H. and Hernandez-Gomez, Mercedes and Amsbury, Sam and Paniagua, Candelas and Bourdon, Matthieu and Miyashima, Shunsuke and Helariutta, Ykä and Fuller, Martin and Budtova, Tatiana and Connell, Simon D. and Ries, Michael and Benitez-Alfonso, Yoselin (2018) Dataset associated with 'Interactions between callose and cellulose revealed through the analysis of biopolymer mixtures'.13 University of Leeds. [Dataset] https://doi.org/10.5518/22514
Adams, Peter G. and Vasilev, Cvetelin and Hunter, C. Neil and Johnson, Matthew (2018) Dataset for a study correlating fluorescence quenching and topographic mapping of LHCII aggregates and lipid bilayers.15 University of Leeds. [Dataset] https://doi.org/10.5518/31316
Adiya, Zainab Ibrahim S. G. and Dupont, Valerie and Mahmud, Tariq (2018) Data associated with 'Steam reforming of shale gas in a packed bed reactor with and without chemical looping using nickel based oxygen carrier'.17 University of Leeds. [Dataset] https://doi.org/10.5518/32718
Adiya, Zainab Ibrahim S. G. and Dupont, Valerie and Mahmud, Tariq (2018) Steam reforming of shale gas with Nickel and Calcium looping - dataset.19 University of Leeds. [Dataset] https://doi.org/10.5518/45220
Alqahtani, Mohammad and Atwell, Eric (2018) Annotated Corpus of Arabic Al-Quran Question and Answer.21 University of Leeds. [Dataset] https://doi.org/10.5518/35622
Amey, Ruth M. J. (2018) Central Tottori Earthquake geodetic slip inversion tools and data.23 University of Leeds. [Dataset] https://doi.org/10.5518/44624
Amey, Ruth M. J. (2018) Fault roughness of the Campo Felice fault – data and scripts.25 University of Leeds. [Dataset] https://doi.org/10.5518/44326
Amey, Ruth M. J. (2018) Geodetic slip inversion software incorporting fractal properties - slipBERI.27 University of Leeds. [Dataset] https://doi.org/10.5518/44428
Amey, Ruth M. J. (2018) Napa Valley Earthquake geodetic slip inversion tools and data.29 University of Leeds. [Dataset] https://doi.org/10.5518/44530
Anastasiou, Antonios and Brown, Andrew and Jha, Animesh (2018) Data associated with 'Exogenous mineralization of hard tissues using photo-absorptive minerals and femto-second lasers; the case of dental enamel'.31 University of Leeds. [Dataset] https://doi.org/10.5518/33332
Askew, Graham and Neil, Thomas R. (2018) Jet-paddling jellies: swimming performance in the Rhizostomeae jellyfish Catostylus mosaicus (Quoy and Gaimard, 1824) - videos.33 University of Leeds. [Dataset] https://doi.org/10.5518/46034
Bernhofen, Mark V. and Whyman, Charlie and Trigg, Mark and Sleigh, Andrew and Smith, Andrew M. and Sampson, Christopher and Yamazaki, Dai and Ward, Phillip and Rudari, Roberto and Pappenberger, Florian and Dottori, Francesco and Salamon, Peter and Winsemius, Hessel (2018) Analysis inputs for validation of six global flood models against observed flood events in Nigeria and Mozambique.35 University of Leeds. [Dataset] https://doi.org/10.5518/34036
Bowland, Philippa and Ingham, Eileen and Fisher, John and Jennings, Louise (2018) Dataset associated with 'Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro'.37 University of Leeds. [Dataset] https://doi.org/10.5518/47338
Brockett, Claire and Carbone, Silvia and Fisher, John and Jennings, Louise (2018) Influence of conformity on the wear of total knee replacement: An experimental study - dataset.39 University of Leeds. [Dataset] https://doi.org/10.5518/29040
Camacho, Diana M. (2018) Polythermal experimental data for crystallisation of methyl stearate as a function of solution environment.41 University of Leeds. [Dataset] https://doi.org/10.5518/33642
Campbell, James M. and Christenson, Hugo K. (2018) Dataset for "Dynamic Measurement of Low Contact Angles by Optical Microscopy".43 University of Leeds. [Dataset] https://doi.org/10.5518/36744
Campbell, James M. and Christenson, Hugo K. (2018) Dataset for "Nucleation- and Emergence-Limited Growth of Ice from Pores".45 University of Leeds. [Dataset] https://doi.org/10.5518/36646
Carruthers, Jonathan and López-García, Martín and Gillard, Joseph J. and Laws, Thomas R. and Lythe, Grant and Molina-París, Carmen (2018) A novel stochastic multi-scale model of Francisella tularensis infection to predict risk of infection in a laboratory (computer codes).47 University of Leeds. [Dataset] https://doi.org/10.5518/35848
Castro, Mario and López-García, Martín and Lythe, Grant and Molina-París, Carmen (2018) First passage events in biological systems with non-exponential inter-event times (computer codes).49 University of Leeds. [Dataset] https://doi.org/10.5518/35950
Castro, Paul Melo e (2018) Recordings associated with "Goa, Mozambique, South Asia and Some Photographs of Ricardo Rangel: Interviews with Carla Maciel and Sílvia Braganca".51 University of Leeds. [Dataset] https://doi.org/10.5518/48452
Chen, Ze and Ye, Sunjie and Evans, Stephen D. and Ge, Yuanhang and Zhu, Zhifeng and Tu, Yingfeng and Yang, Xiaoming (2018) Data associated with 'Confined Assembly of Hollow Carbon Spheres in Carbonaceous Nanotube: A Spheres-in-Tube Carbon Nanostructure with Hierarchical Porosity for High-performance Supercapacitor'.53 University of Leeds. [Dataset] https://doi.org/10.5518/32854
Chudpooti, Nonchanutt and Doychinov, Viktor and Akkaraekthalin, Prayoot and Robertson, Ian and Somjit, Nutapong (2018) Dataset associated with 'Non-invasive Millimeter-Wave Profiler for Surface Height Measurement of Photoresist Films'.55 University of Leeds. [Dataset] https://doi.org/10.5518/32356
Chudpooti, Nonchanutt and Doychinov, Viktor and Hong, Binbin and Akkaraekthalin, Prayoot and Robertson, Ian and Somjit, Nutapong (2018) Data associated with ‘Multi-modal millimeter-wave sensors for plastic polymer material characterization’.57 University of Leeds. [Dataset] https://doi.org/10.5518/39658
Churchman, Adam H. (2018) Data associated with 'Combined flow-focus and self-assembly routes for the formation of lipid stabilized oil-shelled microbubbles'.59 University of Leeds. [Dataset] https://doi.org/10.5518/15360
Cooper, Robert J. and Williams, Sophie and Mengoni, Marlène and Jones, Alison (2018) Dataset associated with 'Patient-specific parameterised cam geometry in finite element models of femoroacetabular impingement of the hip'.61 University of Leeds. [Dataset] https://doi.org/10.5518/32662
Copado-Mendez, Pedro Jesus and Lin, Zhiyuan and Kwan, Raymond (2018) Train Units Scheduling Optimization.63 University of Leeds. [Dataset] https://doi.org/10.5518/44864
Cowie, Raelene and Jennings, Louise (2018) Data associated with 'The Influence of Calcium Sulfate Bone Void Filler on the Third Body Damage and Polyethylene Wear of Total Knee Replacements'.65 University of Leeds. [Dataset] https://doi.org/10.5518/15766
Cowie, Raelene and Jennings, Louise (2018) Data associated with “Wear and Friction of UHMWPE-on-PEEK OPTIMA™”.67 University of Leeds. [Dataset] https://doi.org/10.5518/43568
Cui, Guanghui and Boudara, Victor A. H. and Huang, Qian and Baeza, Guilhem P. and Wilson, Andrew J. and Hassager, Ole and Read, Daniel J. and Mattsson, Johan (2018) Data for "Linear shear and nonlinear extensional rheology of unentangled supramolecular side-chain polymers".69 University of Leeds. [Dataset] https://doi.org/10.5518/42870
Dent-Spargo, Rosie and Dimitrova, Vania and Gatrell, Richard and Hallam, Jennifer and Harkin, Pat and Hennessy, Scott and Piotrkowicz, Alicja and Treasure-Jones, Tamsin (2018) myPAL Co-design Phase 1 Visualisations.71 University of Leeds. [Dataset] https://doi.org/10.5518/40472
Duangrit, Nattapong and Hong, Binbin and Andrew, Burnett and Akkaraekthalin, Prayoot and Robertson, Ian and Somjit, Nutapong (2018) Dataset associated with "Terahertz Dielectric Property Characterization of Photopolymers for Additive Manufacturing".73 University of Leeds. [Dataset] https://doi.org/10.5518/44074
Edwards, Jennifer and Herbert, Anthony (2018) Strain rate dependant and dynamic mechanical properties of porcine superflexor tendons - dataset.75 University of Leeds. [Dataset] https://doi.org/10.5518/46776
Eisele, Heribert (2018) Dataset associated with "High-performance GaAs/AlAs superlattice electronic devices in oscillators at frequencies 100–320 GHz".77 University of Leeds. [Dataset] https://doi.org/10.5518/36278
Elliott, Laura (2018) Salt enhanced solvent relaxation during rapid spin-lattice NMR data set.79 University of Leeds. [Dataset] https://doi.org/10.5518/35280
Evans, Richard M. L. (2018) Ultimatum game steady-state and transient evolution data.81 University of Leeds. [Dataset] https://doi.org/10.5518/45882
Favretto, Nicola (2018) Data associated with 'Links between climate change mitigation, adaptation and development in land policy and ecosystem restoration projects: lessons from South Africa'.83 University of Leeds. [Dataset] https://doi.org/10.5518/34784
Ferguson, Calum T. J. and Al-Khalaf, Areej A. and Isaac, R. Elwyn and Cayre, Olivier J. (2018) Data associated with 'pH-responsive polymer microcapsules for targeted delivery of biomaterials to the midgut of Drosophila suzukii'.85 University of Leeds. [Dataset] https://doi.org/10.5518/39886
Gala de Pablo, Julia (2018) Dataset associated with Tandem fluorescence and Raman (fluoRaman) characterisation of a novel photosensitiser in colorectal cancer cell line SW480.87 University of Leeds. [Dataset] https://doi.org/10.5518/46588
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'.89 University of Leeds. [Dataset] https://doi.org/10.5518/20590
Goldsmith, Kathryn and Pittard, Julian (2018) Statistics, images, and other files pertaining to a comparison of shock-cloud and wind-cloud interactions (Paper II).91 University of Leeds. [Dataset] https://doi.org/10.5518/22192
Goycoolea, Francisco M. and Hoffmann, Stefan and Leonardi, Darío and Salomon, Claudio and Real, Daniel (2018) Data associated with 'Chitosan-based nanodelivery systems applied to the development of novel triclabendazole formulations'.93 University of Leeds. [Dataset] https://doi.org/10.5518/46194
Green, David (2018) Dataset for 'Controlling the fluorescence and room-temperature phosphorescence behaviour of carbon nanodots with inorganic crystalline nanocomposites'.95 University of Leeds. [Dataset] https://doi.org/10.5518/37196
Halcrow, Malcolm A. and Burrows, Kay E. and Kulmaczewski, Rafał and Cespedes, Oscar and Barrett, Simon A. (2018) Data to support study of the speciation of homochiral and heterochiral diastereomers of homoleptic cobalt(II) and zinc(II) PyBox complexes.97 University of Leeds. [Dataset] https://doi.org/10.5518/37098
Halcrow, Malcolm A. and Capel Berdiell, Izar and Kulak, Alexander N. and Warriner, Stuart L. (2018) Data to support study of Heterometallic Coordination Polymer Gels Supported by 2,4,6-Tris(Pyrazol-1-yl)-1,3,5-Triazine.99 University of Leeds. [Dataset] https://doi.org/10.5518/537100
Halcrow, Malcolm A. and Capel Berdiell, Izar and Warriner, Stuart L. (2018) Data to support study of silver(I) complexes of bis- and tris-(pyrazolyl)azine derivatives – dimers, coordination polymers and a pentametallic assembly.101 University of Leeds. [Dataset] https://doi.org/10.5518/346102
Halcrow, Malcolm A. and Galadzhun, Iurii and Kulmaczewski, Rafał and Cespedes, Oscar and Yamada, Mihoko and Yoshinari, Nobuto and Konno, Takumi (2018) Data to support study of 2,6-Di(pyrazol-1-yl)pyridine-4-carboxylate Esters with Alkyl Chain Substituents, and their Iron(II) Complexes.103 University of Leeds. [Dataset] https://doi.org/10.5518/455104
Han, Yingjun (2018) Data associated with 'Gas spectroscopy through multimode self-mixing in a double-metal terahertz quantum cascade laser'.105 University of Leeds. [Dataset] https://doi.org/10.5518/436106
Han, Yingjun (2018) Dataset associated with 'Silver-based surface plasmon waveguide for terahertz quantum cascade lasers'.107 University of Leeds. [Dataset] https://doi.org/10.5518/241108
Hardie, Michaele and Arkawazi, Hayder and Clowes, Rob and Cooper, Andrew and Konno, Takumi and Kuwamura, Naoto and Pask, Christopher M. (2018) Data to support study "Complex phase behavior and structural transformations of metal-organic frameworks with mixed rigid and flexible bridging ligands".109 University of Leeds. [Dataset] https://doi.org/10.5518/468110
Hardie, Michaele and Oldknow, Samuel and Rota Martir, Diego and Pritchard, Victoria and Blitz, Mark A. and Fishwick, Colin and Zysman-Colman, Eli (2018) Data to support study "Structure-switching M3L2 Ir(III) coordination cages with photo-isomerising azo-aromatic groups".111 University of Leeds. [Dataset] https://doi.org/10.5518/438112
Hardie, Michaele and Thorp-Greenwood, Flora and Berry, Gilberte Therese and Boyadjieva, Sophia and Oldknow, Samuel (2018) Data to support study "2D networks of metallo-capsules and other coordination polymers from a hexapodal ligand".113 University of Leeds. [Dataset] https://doi.org/10.5518/399114
Harvie, Andrew J. (2018) Ultrafast Trap-State Mediated Electron Transfer for Quantum Dot Redox Sensing - Associated data.115 University of Leeds. [Dataset] https://doi.org/10.5518/363116
Heun, Matthew and Owen, Anne and Brockway, Paul E. (2018) Empirical datasets for Applied Energy journal article "A physical supply-use table framework for energy analysis on the energy conversion chain".117 University of Leeds. [Dataset] https://doi.org/10.5518/393118
Hong, Binbin and Chudpooti, Nonchanutt and Akkaraekthalin, Prayoot and Somjit, Nutapong and Cunningham, John and Robertson, Ian (2018) Data and figures associated with ‘Investigation of Electromagnetic Mode Transition and Filtering of an Asymptotically Single-mode Hollow THz Bragg Fibre’.119 University of Leeds. [Dataset] https://doi.org/10.5518/402120
Humphreys, Philippa (2018) Identifying North Africans in the French Internal Resistance.121 University of Leeds. [Dataset] https://doi.org/10.5518/431122
Ibanga, Ikpe E. and Fletcher, Louise A. and Noakes, Catherine J. and King, Marco-Felipe and Steinberg, Dave (2018) Data for Pilot-scale biofiltration at a Materials Recovery Facility – Impact on Bioaerosol Control.123 University of Leeds. [Dataset] https://doi.org/10.5518/307124
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt'.125 University of Leeds. [Dataset] https://doi.org/10.5518/395126
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt': background.127 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt': hiN_leads_loS.128 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt': hiN_loS.129 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt': hiS_leads_loN.130 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew (2018) Climate model data presented in 'Climatic effect of Antarctic meltwater overwhelmed by concurrent Northern hemispheric melt': hiS_loN.131 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew and Mitrovica, Jerry (2018) Climate model data presented in 'Acceleration of northern ice sheet melt induces AMOC slowdown and northern cooling in simulations of the early last deglaciation'.132 University of Leeds. [Dataset] https://doi.org/10.5518/400133
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew and Mitrovica, Jerry (2018) Climate model data presented in 'Acceleration of northern ice sheet melt induces AMOC slowdown and northern cooling in simulations of the early last deglaciation': hs1.134 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew and Mitrovica, Jerry (2018) Climate model data presented in 'Acceleration of northern ice sheet melt induces AMOC slowdown and northern cooling in simulations of the early last deglaciation': lgm_control.135 University of Leeds. [Dataset]
Ivanovic, Ruza and Gregoire, Lauren and Wickert, Andrew and Mitrovica, Jerry (2018) Climate model data presented in 'Acceleration of northern ice sheet melt induces AMOC slowdown and northern cooling in simulations of the early last deglaciation': routed_meltwater.136 University of Leeds. [Dataset]
James, Alexander D. and Brooke, James S. A. and Mangan, Thomas P. and Whale, Thomas F. and Plane, John M. C. and Murray, Benjamin J. (2018) Data associated with 'Nucleation of nitric acid hydrates in Polar Stratospheric Clouds by meteoric material'.137 University of Leeds. [Dataset] https://doi.org/10.5518/312138
Jeuken, Lars J. C. (2018) MatLab codes for Tracking Analysis and Shannon Entropy Analysis.139 University of Leeds. [Dataset] https://doi.org/10.5518/409140
Johnston, Helena and Abdelgaied, Abdellatif and Pandit, Hemant and Fisher, John and Jennings, Louise (2018) Data set for paper "Representing the Effect of Variation in Soft Tissue Constraints in Experimental Simulation of Total Knee Replacements".141 University of Leeds. [Dataset] https://doi.org/10.5518/391142
Jones, Sophie A. and Bailey, James and Walker, David R. E. and Bryan-Brown, Guy P. and Jones, J. Cliff (2018) Data for 'Method for tuneable homeotropic anchoring at micro-structures in liquid crystal devices'.143 University of Leeds. [Dataset] https://doi.org/10.5518/434144
Jull, Ethan and Gleeson, Helen (2018) An all-optical responsive azo-doped liquid crystal laser protection filter - dataset.145 University of Leeds. [Dataset] https://doi.org/10.5518/364146
Kelly, Robert (2018) Laboratory data and simulation files for partially-confined gravity currents.147 University of Leeds. [Dataset] https://doi.org/10.5518/412148
Khan, Risalat A. and Nembach, Hans T. and Ali, Mannan and Shaw, Justin M. and Marrows, Christopher H. and Moore, Thomas A. (2018) Dataset associated with "Magnetic domain texture and the Dzyaloshinskii-Moriya interaction in Pt/Co/IrMn and Pt/Co/FeMn thin films with perpendicular exchange bias".149 University of Leeds. [Dataset] https://doi.org/10.5518/429150
King, Marco-Felipe and Khan, Amirul and Delbosc, Nicolas and Gough, Hannah L. and Halios, Christos and Barlow, Janet F. and Noakes, Catherine J. (2018) Dataset associated with 'Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method'.151 University of Leeds. [Dataset] https://doi.org/10.5518/245152
Kirk, Carole (2018) Dataset associated with ‘Painting as emergent knowledge: exploring contemporary artistic labour as a process of ecological cognition’.153 University of Leeds. [Dataset] https://doi.org/10.5518/361154
Kirk, Carole (2018) Digital story for Jetty making.155 University of Leeds. [Dataset] https://doi.org/10.5518/387156
Kirk, Carole (2018) Explore through collage.157 University of Leeds. [Dataset] https://doi.org/10.5518/381158
Kirk, Carole (2018) Feeling a way through ….159 University of Leeds. [Dataset] https://doi.org/10.5518/378160
Kirk, Carole (2018) The Garden of Earthly Delights.161 University of Leeds. [Dataset] https://doi.org/10.5518/379162
Kirk, Carole (2018) The Gesture of Thinking.163 University of Leeds. [Dataset] https://doi.org/10.5518/377164
Kirk, Carole (2018) Keep Off.165 University of Leeds. [Dataset] https://doi.org/10.5518/383166
Kirk, Carole (2018) Looking.167 University of Leeds. [Dataset] https://doi.org/10.5518/380168
Kirk, Carole (2018) Painting the Sea.169 University of Leeds. [Dataset] https://doi.org/10.5518/386170
Kirk, Carole (2018) Ruffles.171 University of Leeds. [Dataset] https://doi.org/10.5518/388172
Kirk, Carole (2018) Seals.173 University of Leeds. [Dataset] https://doi.org/10.5518/389174
Kirk, Carole (2018) Talking about Aldershot Map.175 University of Leeds. [Dataset] https://doi.org/10.5518/385176
Kirk, Carole (2018) Talking about edges of figure on 'Keep Off'.177 University of Leeds. [Dataset] https://doi.org/10.5518/384178
Kirk, Carole (2018) Wordless fragments extract.179 University of Leeds. [Dataset] https://doi.org/10.5518/382180
Kirk, Carole (2018) The migration of gesture ….181 University of Leeds. [Dataset] https://doi.org/10.5518/390182
Knox, Craig S. and Li, Lianhe and Rosamond, Mark C. and Linfield, Edmund and Marrows, Christopher H. (2018) Dataset Associated with 'Deconvolution of Rashba and Dresselhaus spin-orbit coupling by crystal axis dependent measurements of coupled InAs/GaSb quantum wells'.183 University of Leeds. [Dataset] https://doi.org/10.5518/459184
Konpang, Jessada and Sandhu, Muhammad and Somjit, Nutapong and Hunter, Ian (2018) Dataset associated with 'Four-port diplexer for high Tx/Rx isolation for integrated transceivers'.185 University of Leeds. [Dataset] https://doi.org/10.5518/275186
Kundu, Iman and Dean, Paul and Valavanis, Alexander and Freeman, Joshua R. and Rosamond, Mark C. and Li, Lianhe and Han, Yingjun and Linfield, Edmund and Davies, A. Giles (2018) Data associated with 'Continuous frequency tuning with near constant output power in coupled Y-branched terahertz quantum cascade lasers with photonic lattice'.187 University of Leeds. [Dataset] https://doi.org/10.5518/332188
Kundu, Iman and Wang, Feihu and Qi, Xiaoqiong and Nong, Hanond and Dean, Paul and Freeman, Joshua R. and Valavanis, Alexander and Agnew, Gary and Grier, Andrew and Taimre, Thomas and Li, Lianhe and Indjin, Dragan and Mangeney, Juliette and Tignon, Jérôme and Dhillon, Sukhdeep S. and Rakić, Aleksandar D. and Cunningham, John and Linfield, Edmund and Davies, A. Giles (2018) Dataset associated with 'Ultrafast switch-on dynamics of frequency tuneable semiconductor lasers'.189 University of Leeds. [Dataset] https://doi.org/10.5518/163190
Li, Changjia and Holden, Joseph and Grayson, Richard P. (2018) Dataset associated with 'Effects of needle ice on peat erosion processes during overland flow events'.191 University of Leeds. [Dataset] https://doi.org/10.5518/374192
Li, Lianhe and Kundu, Iman and Han, Yingjun and Salih, Mohammed and Linfield, Edmund and Garrasi, Katia and Vitiello, Miriam S. (2018) Dataset associated with ‘Broadband heterogeneous THz quantum cascade laser based on LO-phonon-assisted interminiband transitions’.193 University of Leeds. [Dataset] https://doi.org/10.5518/403194
Liu, Aiqin (2018) Data associated with ‘Development of a pre-clinical experimental simulation model of the natural porcine knee with appropriate ligamentous constraints’ University of Leeds. [Dataset].195 University of Leeds. [Dataset] https://doi.org/10.5518/475196
Liu, Harry and Kaur, Sarabjot and Srigengan, Shajeth and Gleeson, Helen (2018) Self-assembling polymer filaments - dataset.197 University of Leeds. [Dataset] https://doi.org/10.5518/424198
Lunn, David and Chapman, Graham and Redmond, Anthony (2018) Motion analysis in total joint replacement patients: Data Release 1.199 University of Leeds. [Dataset] https://doi.org/10.5518/345200
López-García, Martín and Kypraios, Theodore (2018) A unified stochastic modelling framework for the spread of nosocomial infections (computer codes).201 University of Leeds. [Dataset] https://doi.org/10.5518/357202
Makhov, Dmitry and Saita, Kenichiro and Martinez, Todd and Shalashilin, Dmitrii (2018) Data associated with 'Ab initio multiple cloning simulations of pyrrole photodissociation: TKER spectra and velocity map imaging'.203 University of Leeds. [Dataset] https://doi.org/10.5518/425204
Martin, Esther M. and Jackson, Matthew P. and Gamerdinger, Martin and Gense, Karina and Karamanos, Theodoros and Humes, Julia R. and Deuerling, Elke and Ashcroft, Alison E. and Radford, Sheena E. (2018) Data associated with 'Conformational flexibility within the nascent polypeptide–associated complex enables its interactions with structurally diverse client proteins'.205 University of Leeds. [Dataset] https://doi.org/10.5518/295206
Matsumoto, Kenta and Kimata, Motoi and Kondou, Kouta and Temple, Rowan C. and Marrows, Christopher H. and Otani, Yoshichika (2018) Magneto-thermodynamic properties and anomalous magnetic phase transition in FeRh nano-wires dataset.207 University of Leeds. [Dataset] https://doi.org/10.5518/338208
Maycock, Amanda C. (2018) 11 year solar cycle ozone coefficients from CMIP6 ozone dataset presented in ‘The representation of solar cycle signals in stratospheric ozone. Part II: Analysis of global models'.209 University of Leeds. [Dataset] https://doi.org/10.5518/348210
Mazurenko, Ievgen and Jeuken, Lars J. C. (2018) Data for Timelapse (movie) of single vesicles fluorescence change upon potential application.211 University of Leeds. [Dataset] https://doi.org/10.5518/442212
Mistry, Devesh and Connell, Simon D. and Micklethwaite, Stuart and Morgan, Philip and Clamp, John H. and Gleeson, Helen (2018) Dataset associated with publication: ‘Coincident Molecular Auxeticity and Negative Order Parameter in a Liquid Crystal Elastomer’.213 University of Leeds. [Dataset] https://doi.org/10.5518/462214
Nikkhou, Maryam and Gleeson, Helen and Muševič, Igor (2018) Dataset associated with Creation and topological charge switching of defect loops on a long fibre in the nematic liquid crystal dataset.215 University of Leeds. [Dataset] https://doi.org/10.5518/401216
Noble, Alice and O’Reilly, John and Glaves, David J. and Crowle, Alistair and Palmer, Sheila M. and Holden, Joseph (2018) Data associated with ‘Impacts of prescribed burning on Sphagnum mosses in a long-term peatland field experiment’.217 University of Leeds. [Dataset] https://doi.org/10.5518/413218
O'Sullivan, Daniel and Adams, Michael P. and Tarn, Mark D. and Vergara-Temprado, Jesús and Porter, Grace C. E. and Holden, Mark and Sanchez-Marroquin, Alberto and Carotenuto, Federico and Whale, Thomas F. and McQuaid, James B. and Murray, Benjamin J. (2018) Dataset associated with 'Contributions of biogenic material to the atmospheric ice-nucleating particle population in North Western Europe'.219 University of Leeds. [Dataset] https://doi.org/10.5518/330220
Omoniyi, Oluwafemi and Dupont, Valerie (2018) Data associated with 'Chemical looping Steam reforming of Acetic Acid in a Packed Bed Reactor'.221 University of Leeds. [Dataset] https://doi.org/10.5518/309222
Papic, Zlatko and Turner, Christopher J. and Michailidis, Alexios (2018) Dataset associated with 'Quantum Many-Body Scars'.223 University of Leeds. [Dataset] https://doi.org/10.5518/335224
Papic, Zlatko and Turner, Christopher J. and Michailidis, Alexios (2018) Dataset associated with 'Quantum Many-Body Scars'.225 University of Leeds. [Dataset] https://doi.org/10.5518/335226
Partridge, Susan and Buckley, Paige and Thompson, Jonathan and de Boer, Greg and Williams, Sophie (2018) Rim Deformation Data.227 University of Leeds. [Dataset] https://doi.org/10.5518/306228
Patel, Jayna and Lal, Saurabh and Nuss, Katja and Wilshaw, Stacy-Paul and von Rechenberg, Brigitte and Hall, Richard and Tipper, Joanne (2018) Dataset supporting the publication of 'Recovery of low volumes of wear debris from rat stifle joint tissues using a novel particle isolation method.'.229 University of Leeds. [Dataset] https://doi.org/10.5518/341230
Peters, Nicolas (2018) Data associated with ‘Confinement of picosecond timescale current pulses by tapered coplanar waveguides.'.231 University of Leeds. [Dataset] https://doi.org/10.5518/314232
Philips, Ian (2018) Data associated with 'Capability to make journeys by walking or cycling for English Output Areas'.233 University of Leeds. [Dataset] https://doi.org/10.5518/299234
Pittard, Julian (2018) Colliding Stellar Winds Structure and X-ray Emission.235 University of Leeds. [Dataset] https://doi.org/10.5518/349236
Potter, David G. and Wiseman, Scott and Blitz, Mark A. and Seakins, Paul W. (2018) Dataset for 'Laser Photolysis Kinetic Study of OH Radical Reactions with Methyl tert-Butyl Ether and Trimethyl Orthoformate under Conditions Relevant to Low Temperature Combustion: Measurements of Rate Coefficients and OH Recycling'.237 University of Leeds. [Dataset] https://doi.org/10.5518/479238
Price, Hannah and Baustian, Kelly J. and McQuaid, James B. and Blyth, Alan and Bower, Keith N. and Choularton, Thomas and Cotton, Richard J. and Cui, Zhiqiang and Field, Paul R. and Gallagher, Martin and Hawker, Rachel and Merrington, Alexander and Miltenberger, Annette and Neely III, Ryan R. and Parker, Simon T. and Rosenberg, Philip D. and Taylor, Jonathan W. and Trembath, Jamie and Vergara-Temprado, Jesús and Whale, Thomas F. and Wilson, Theodore W. and Young, Gillian and Murray, Benjamin J. (2018) Datasets associated with 'Atmospheric ice-nucleating particles in the dusty tropical Atlantic'.239 University of Leeds. [Dataset] https://doi.org/10.5518/302240
Ramirez-Solis, Sergio and Dupont, Valerie and Milne, Steven J. (2018) Data associated with 'Preparation and Evaluation of CaO-based CO2 Sorbents Deposited on Saffil Fibre Supports'.241 University of Leeds. [Dataset] https://doi.org/10.5518/414242
Redmond, Anthony and Tennant, Alan and Horton, Mike and Ndosi, Mwidimi (2018) Systemic Sclerosis Quality of Life (SScQoL) instrument: translation and cross cultural validation across seven European countries (UK, France, Italy, Spain, Sweden, Germany and Poland).243 University of Leeds. [Dataset] https://doi.org/10.5518/325244
Richards, Thomas C. and Desai, Amey D. and Chakrabarty, Samit (2018) Scripts associated with 'Identifying Shared Pathways Across Multiple Muscle Groups of the Human Upper Limb'.245 University of Leeds. [Dataset] https://doi.org/10.5518/592246
Ries, Michael (2018) Data associated with 'Microscopic and macroscopic properties of carbohydrate solutions in the ionic liquid 1-ethyl-3-methyl-imidazolium acetate'.247 University of Leeds. [Dataset] https://doi.org/10.5518/369248
Roncal-Herrero, Teresa and Harrington, John and Zeb, Aurang and Milne, Steven J. and Brown, Andrew (2018) Nanoscale compositional segregation and suppression of polar coupling in a relaxor ferroelectric - dataset.249 University of Leeds. [Dataset] https://doi.org/10.5518/426250
Satchell, Nathan and Birge, Norman O. (2018) Supercurrent in ferromagnetic Josephson junctions with heavy metal interlayers dataset.251 University of Leeds. [Dataset] https://doi.org/10.5518/337252
Shahbazi, Kowsar and Hrabec, Aleš and Moretti, Simone and Ward, Michael B. and Moore, Thomas A. and Jeudy, Vincent and Martinez, Eduardo and Marrows, Christopher H. (2018) Magnetic properties and field-driven dynamics of chiral domain walls in epitaxial Pt/Co/AuxPt1-x trilayers - dataset.253 University of Leeds. [Dataset] https://doi.org/10.5518/471254
Shepley, Philippa M. and Burnell, Gavin and Moore, Thomas A. (2018) Strain and domain wall creep in Pt-Co-Ir thin films.255 University of Leeds. [Dataset] https://doi.org/10.5518/410256
Shepley, Philippa M. and Tunnicliffe, Harry and Shahbazi, Kowsar and Burnell, Gavin and Moore, Thomas A. (2018) Dataset associated with "Magnetic properties, domain-wall creep motion, and the Dzyaloshinskii-Moriya interaction in Pt/Co/Ir thin films".257 University of Leeds. [Dataset] https://doi.org/10.5518/353258
Sindoni, Giulia and Sano, Katsuhiko and Stell, John G. (2018) Axiomatizing Discrete Spatial Relations (extended version with omitted proofs and automated theorem prover).259 University of Leeds. [Dataset] https://doi.org/10.5518/427260
Smith, Alison F. and Messenger, Michael P. and Hall, Peter S. and Hulme, Claire T. (2018) The Role of Measurement Uncertainty in Health Technology Assessments (HTAs) of In-vitro Tests - Dataset.261 University of Leeds. [Dataset] https://doi.org/10.5518/324262
Smith, Christopher J. (2018) HadGEM2 radiative kernels.263 University of Leeds. [Dataset] https://doi.org/10.5518/406264
Smith, Christopher J. (2018) HadGEM2 radiative kernels.265 University of Leeds. [Dataset] https://doi.org/10.5518/406266
Solernou, Albert and Hanson, Benjamin S. and Richardson, Robin A. and Welch, Robert and Read, Daniel J. and Harlen, Oliver G. and Harris, Sarah A. (2018) Analysis and comparison of FFEA with all-atom molecular dynamics.267 University of Leeds. [Dataset] https://doi.org/10.5518/318268
Solodkov, Nikita V. and Jung-uk, Shim and Jones, J. Cliff (2018) Data associated with 'Self-Assembly of Fractal Liquid Crystal Colloids'.269 University of Leeds. [Dataset] https://doi.org/10.5518/469270
Solodkov, Nikita V. and Nagaraj, Mamatha and Jones, J. Cliff (2018) Data associated with "Effects of monoclinic symmetry on the properties of biaxial liquid crystals".271 University of Leeds. [Dataset] https://doi.org/10.5518/351272
Spencer, Charles and Gayles, Jacob and Porter, Nicholas and Sugimoto, Satoshi and Aslam, Zabeada and Kinane, Christian J. and Charlton, Timothy and Freimuth, Frank and Chadov, Stanislav and Langridge, Sean and Sinova, Jairo and Felser, Claudia and Blügel, Stefan and Mokrousov, Yuriy and Marrows, Christopher H. (2018) Helical magnetic structure and the anomalous and topological Hall effects in epitaxial B20 Fe1-yCoyGe films dataset.273 University of Leeds. [Dataset] https://doi.org/10.5518/368274
Spragg, Jennifer and Mahmud, Tariq and Dupont, Valerie (2018) Hydrogen production from bio-oil: a thermodynamic analysis of sorption-enhanced chemical looping steam reforming - dataset.275 University of Leeds. [Dataset] https://doi.org/10.5518/451276
Tarn, Mark D. and Sikora, Sebastien N. F. and Porter, Grace C. E. and O'Sullivan, Daniel and Adams, Michael P. and Whale, Thomas F. and Harrison, Alexander D. and Vergara-Temprado, Jesús and Wilson, Theodore W. and Shim, Jung-uk and Murray, Benjamin J. (2018) Data for 'The study of atmospheric ice-nucleating particles via microfluidically generated droplets'.277 University of Leeds. [Dataset] https://doi.org/10.5518/334278
Temple, Rowan C. and Almeida, Trevor P. and Massey, Jamie R. and Fallon, Kayla and Lamb, Raymond and Morley, Sophie A. and Maccherozzi, Francesco and Dhesi, Sarnjeet S. and McGrouther, Damien and McVitie, Stephen and Moore, Thomas A. and Marrows, Christopher H. (2018) Dataset associated with ‘Antiferromagnetic-ferromagnetic phase domain development in nanopatterned FeRh islands’.279 University of Leeds. [Dataset] https://doi.org/10.5518/453280
Vergara-Temprado, Jesús and Holden, Mark and Orton, Thomas R. and O'Sullivan, Daniel and Umo, Nsikanabasi S. and Browse, Jo and Reddington, Carly L. and Baeza-Romero, María Teresa and Jones, Jenny M. and Lea-Langton, Amanda and Williams, Alan and Carslaw, Ken S. and Murray, Benjamin J. (2018) Is black carbon an unimportant ice-nucleating particle in mixed-phase clouds? Dataset.281 University of Leeds. [Dataset] https://doi.org/10.5518/310282
Vergara-Temprado, Jesús and Miltenberger, Annette and Furtado, Kalli and Grosvenor, Daniel and Shipway, Ben J. and Hill, Adrian A. and Wilkinson, Jonathan M. and Field, Paul R. and Murray, Benjamin J. and Carslaw, Ken S. (2018) Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles - Dataset.283 University of Leeds. [Dataset] https://doi.org/10.5518/317284
Wareing, Christopher J. and Pittard, Julian and Wright, Nicholas J. and Falle, Samuel (2018) Dataset associated with 'A new mechanical stellar wind feedback model for the Rosette Nebula'.285 University of Leeds. [Dataset] https://doi.org/10.5518/311286
White, Robert and Dupont, Valerie and Cockerill, Tim (2018) Data associated with 'Thermodynamic modelling and energy balance of direct methanation of glycerol for Bio-SNG production'.287 University of Leeds. [Dataset] https://doi.org/10.5518/316288
Wright, Penny and Oyebode, Jan and Clare, Linda and Brayne, Carol and Al-Janabi, Hareth and Hoare, Zoe and Kind, Paul and Tennant, Alan and Pini, Simon and Megson, Molly and Ingleson, Emma (2018) Dementia Carers Instrument Development (DECIDE) - Qualitative interview data.289 University of Leeds. [Dataset] https://doi.org/10.5518/375290
Wright, Penny and Oyebode, Jan and Clare, Linda and Brayne, Carol and Al-Janabi, Hareth and Hoare, Zoe and Kind, Paul and Tennant, Alan and Pini, Simon and Megson, Molly and Roberts, Linda, NWORTH Clinical Trials Unit, Bangor (2018) Dementia Carers Instrument Development (DECIDE) - data introduction.291 University of Leeds. [Dataset] https://doi.org/10.5518/433292
Wright, Penny and Oyebode, Jan and Clare, Linda and Brayne, Carol and Al-Janabi, Hareth and Hoare, Zoe and Kind, Paul and Tennant, Alan and Shearsmith, Leanne and Megson, Molly and Roberts, Linda, NWORTH Clinical Trials Unit, Bangor (2018) Dementia Carers Instrument Development (DECIDE) Workstream 1 Phase 3 data.293 University of Leeds. [Dataset] https://doi.org/10.5518/432294
Xu, Jiren and Morris, Paul J. and Liu, Junguo and Holden, Joseph (2018) Dataset for Nature Sustainability paper “Hotspots of peatland-derived potable water use identified by global analysis”.295 University of Leeds. [Dataset] https://doi.org/10.5518/365296
Ye, Sunjie and Brown, Andrew and Stammers, Ashley C. and Thomson, Neil H. and Roach, Lucien and Bushby, Richard J. and Coletta, P. Louise and Critchley, Kevin and Connell, Simon D. and Markham, Alexander F. and Brydson, Rik and Evans, Stephen D. (2018) Data associated with "Sub-Nanometer Thick Gold Nanosheets as Highly-efficient Catalysts".297 University of Leeds. [Dataset] https://doi.org/10.5518/464298
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'.299 University of Leeds. [Dataset] https://doi.org/10.5518/408300
Zapata-Cornelio, Fernando and Wilcox, Ruth (2018) A methodology for the generation and non-destructive characterisation of transverse fractures in long bones – Data set.301 University of Leeds. [Dataset] https://doi.org/10.5518/344302
Zeissler, Katharina and Finizio, Simone and Shahbazi, Kowsar and Massey, Jamie R. and Al Ma'Mari, Fatma and Bracher, David M. and Kleibert, Armin and Rosamond, Mark C. and Linfield, Edmund and Moore, Thomas A. and Raabe, Jörg and Burnell, Gavin and Marrows, Christopher H. (2018) Dataset associated with 'Discrete Hall resistivity contribution from Néel skyrmions in multilayer nanodiscs'.303 University of Leeds. [Dataset] https://doi.org/10.5518/262304
Zhang, Huagui and Tangparitkul, Suparit and Hendry, Brogan and Harper, Joseph and Kim, Yun Kon and Hunter, Timothy N. and Lee, Jae W. and Harbottle, David (2018) Data associated with 'Selective separation of cesium contaminated clays from pristine clays by flotation'.305 University of Leeds. [Dataset] https://doi.org/10.5518/430306
Zhang, Zhaopeng and Gleeson, Helen (2018) Polarised Raman spectroscopy data of nematic liquid crystals 5CB and E63.307 University of Leeds. [Dataset] https://doi.org/10.5518/354308
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- 232. https://doi.org/10.5518/314
- 233. https://archive.researchdata.leeds.ac.uk/396/
- 234. https://doi.org/10.5518/299
- 235. https://archive.researchdata.leeds.ac.uk/398/
- 236. https://doi.org/10.5518/349
- 237. https://archive.researchdata.leeds.ac.uk/462/
- 238. https://doi.org/10.5518/479
- 239. https://archive.researchdata.leeds.ac.uk/315/
- 240. https://doi.org/10.5518/302
- 241. https://archive.researchdata.leeds.ac.uk/394/
- 242. https://doi.org/10.5518/414
- 243. https://archive.researchdata.leeds.ac.uk/317/
- 244. https://doi.org/10.5518/325
- 245. https://archive.researchdata.leeds.ac.uk/996/
- 246. https://doi.org/10.5518/592
- 247. https://archive.researchdata.leeds.ac.uk/412/
- 248. https://doi.org/10.5518/369
- 249. https://archive.researchdata.leeds.ac.uk/442/
- 250. https://doi.org/10.5518/426
- 251. https://archive.researchdata.leeds.ac.uk/373/
- 252. https://doi.org/10.5518/337
- 253. https://archive.researchdata.leeds.ac.uk/469/
- 254. https://doi.org/10.5518/471
- 255. https://archive.researchdata.leeds.ac.uk/383/
- 256. https://doi.org/10.5518/410
- 257. https://archive.researchdata.leeds.ac.uk/338/
- 258. https://doi.org/10.5518/353
- 259. https://archive.researchdata.leeds.ac.uk/450/
- 260. https://doi.org/10.5518/427
- 261. https://archive.researchdata.leeds.ac.uk/313/
- 262. https://doi.org/10.5518/324
- 263. https://archive.researchdata.leeds.ac.uk/382/
- 264. https://doi.org/10.5518/406
- 265. https://archive.researchdata.leeds.ac.uk/940/
- 266. https://doi.org/10.5518/406
- 267. https://archive.researchdata.leeds.ac.uk/316/
- 268. https://doi.org/10.5518/318
- 269. https://archive.researchdata.leeds.ac.uk/659/
- 270. https://doi.org/10.5518/469
- 271. https://archive.researchdata.leeds.ac.uk/403/
- 272. https://doi.org/10.5518/351
- 273. https://archive.researchdata.leeds.ac.uk/374/
- 274. https://doi.org/10.5518/368
- 275. https://archive.researchdata.leeds.ac.uk/477/
- 276. https://doi.org/10.5518/451
- 277. https://archive.researchdata.leeds.ac.uk/345/
- 278. https://doi.org/10.5518/334
- 279. https://archive.researchdata.leeds.ac.uk/430/
- 280. https://doi.org/10.5518/453
- 281. https://archive.researchdata.leeds.ac.uk/355/
- 282. https://doi.org/10.5518/310
- 283. https://archive.researchdata.leeds.ac.uk/318/
- 284. https://doi.org/10.5518/317
- 285. https://archive.researchdata.leeds.ac.uk/300/
- 286. https://doi.org/10.5518/311
- 287. https://archive.researchdata.leeds.ac.uk/319/
- 288. https://doi.org/10.5518/316
- 289. https://archive.researchdata.leeds.ac.uk/417/
- 290. https://doi.org/10.5518/375
- 291. https://archive.researchdata.leeds.ac.uk/421/
- 292. https://doi.org/10.5518/433
- 293. https://archive.researchdata.leeds.ac.uk/420/
- 294. https://doi.org/10.5518/432
- 295. https://archive.researchdata.leeds.ac.uk/352/
- 296. https://doi.org/10.5518/365
- 297. https://archive.researchdata.leeds.ac.uk/557/
- 298. https://doi.org/10.5518/464
- 299. https://archive.researchdata.leeds.ac.uk/402/
- 300. https://doi.org/10.5518/408
- 301. https://archive.researchdata.leeds.ac.uk/351/
- 302. https://doi.org/10.5518/344
- 303. https://archive.researchdata.leeds.ac.uk/440/
- 304. https://doi.org/10.5518/262
- 305. https://archive.researchdata.leeds.ac.uk/409/
- 306. https://doi.org/10.5518/430
- 307. https://archive.researchdata.leeds.ac.uk/392/
- 308. https://doi.org/10.5518/354