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  • This data set contains example input and output files from density functional theory calculations of rare earth systems, using the Vienna Ab initio Simulation Package (VASP), The data set it split into two parts. The first data set contains the input and output files of molecular dynamics simulations of MCl3 in solution, where (M = Nd, Gd and Er) at ambient conditions, which was modelled at 341 K using the optB88 exchange-correlation functional. The calculations were run in order to investigate speciation in rare earth chloride solutions, including trends across the row, using a light (Nd), medium (Gd) and heavy (Er) rare earth. These particular calculations were used to validate classical interatomic potentials that were used to perform more complex simulation on larger systems and longer timescales. Only the first 2 ps of the trajectories are deposited here, since the complete trajectories are large. The second data set contains example input and output files for lattice dynamics calculations of the thermodynamics properties (heat capacity and entropy) of Nd-monazite and Nd-xenotime at ambient conditions up to 1200 K. In addition, it includes scripts for processing and plots of final results. These are useful for thermodynamical modelling of rare earth systems. Only the input and output files for Nd are deposited here, since the files are large and input files for Gd and Er are identical, save for the change in element.

  • These data consist of a spreadsheet containing 557 ground control points (GCPs) collected in the Everest region of Nepal between October 2015 and October 2016. GCPs were collected using a Leica GS10 differential Global Positioning System (dGPS), post-processed against base station data at Syangboche. These final data have sub-centimetre accuracy (in x, y and z) in all cases. Point positions are heavily concentrated around meltwater ponds on the glacier surface, and prominent features around the glacier margin. These data will be used by PhD students and staff in the School of Geography, University of Leeds, to provide ground control for fine-resolution satellite imagery and Structure-from-Motion surveys to assess mass loss processes on Khumbu Glacier.

  • This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and after e-Learning training. Students and professionals were given two separate surveys which were combined to create one dataset. The surveys were collected between September 2015 and July 2018. The objective of the survey was to collect data on participants’ awareness, risk perceptions and self-reported behaviours on biosecurity for invasive species. The topics on both the before and after survey included age, role at institution, field of work/study, field activity environments, cleaning methods for equipment, outerwear/footwear and transport and awareness and perceptions of risk around invasive species and biosecurity campaigns. The data does not include the aggregated cleaning scores that were used for the analysis nor has it excluded any participants that were not used in the final data analysis. The dataset has been anonymised by removing names of respondents, email addresses, departments or organisations worked for or studied in, and text responses which could have made the participant identifiable. The research was funded by NERC project no NE/N008391/1. Full details about this nonGeographicDataset can be found at

  • These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine. The dataset includes the final, complete molecular dynamics trajectories of the sorption process of each antibiotic on the mineral surfaces (Al-terminated or Si-terminated). The data were collected as part of the NERC Exploring the Frontiers grant (Grant No. NE/X009572/1), ‘Antibiotic chemistry in agricultural soils: modelling mineral-antibiotic interactions from first principles’. The work fits within the broad field of ‘emerging contaminants’ in the environment, and understanding drivers of antimicrobial resistance (AMR). Full details about this nonGeographicDataset can be found at

  • The datasets contains species presence and background points, and their associated environmental data for non-native common wall lizard (Podarcis muralis). These data are included for local and national scale modelling of likelihood of species presence, as used in the modelling software MaxEnt. The .asc files included are the raw spatial data of parameters (i.e., distance to nearest road) used in modelling at various local regions, from which SWD 'samples with data' were extracted. Outputs from the local MaxEnt models produced the .txt files included. These serve as landscape layer inputs (habitat suitability and movement cost layers) for modelling population growth and spatial spread in the Individual based modelling platform, RangeShifter. Subsequent outputs of projected population growth (number of individuals per landscape cell) and x/y coordinates for each cell, are presented in files with the prefix Pop.csv and avg.csv (averaged data over 50 replicate runs). Full details about this dataset can be found at

  • The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions concern the monthly agricultural activities in association with the climate services and extreme weather events. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at

  • The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at

  • Oxy-fuel combustion has been recognised as one of the very competitive technologies for CO2 capture in the power generation sector. Its importance for CCS technology development in the UK is evident from the Government's recent decision to fund the FEED study on White Rose Partnership project. Traditionally furnace design replies on experience based design plots and some modelling analysis. High concentration of CO2 in oxy-fuel combustion leads to a substantial change in the radiation property of the furnace and therefore CFD modelling is becoming a critical predictive and design tool. The main aims of this project are to collect a comprehensive and much needed set of data for radiation model development by measuring experimentally the combustion and heat transfer properties, including direct radiative heat flux measurements and other combustion processes, in the state-of-the-art 250kW PACT oxy-combustion test facilities and the 35MW large scale oxy-combustion plant at HUST in China. The data will then be used to develop further and validate the next generation Full-Spectrum Correlated k distributions (FSCK) model that is currently under development at Leeds. The developed and validated CFD models may then be employed with more confidence to predict, analyse and optimise the operation of future full scale CCS plant for system scale up. Grant number: UKCCSRC-C2-193.

  • Terrestrial laser scanning datasets (including GPS data for georeferencing), and field photographs collected during the 2016 Central Italian Earthquake sequence. Data were collected from multiple localities to capture the co- seismic near-fault deformation along the earthquake surface ruptures from the 30th Oct Norcia Earthquake. See the scan_data.xlsx for individual details of each laser scan location, and readme.txt for a complete description. In each scan site folder you can find the unprocessed raw files and processed ascii files. Field photographs taken at the site and in the aftermath of the 2016 Norcia Earthquake (30th October 2016, Mw6.6) are provided. Relevant references are: Wilkinson, MW, KJW McCaffrey, RR Jones, GP Roberts, RE Holdsworth, LC Gregory, RJ Walters, LNJ Wedmore, H Goodall, F Iezzi (2017). Near-field fault slip of the 2016 Vettore Mw 6.6 earthquake (Central Italy) measured using low-cost GNSS. Scientific Reports 7: 4612. Walters, RJ, LC Gregory, LNJ Wedmore, TJ Craig, K McCaffrey, M Wilkinson, J Chen, Z Li, JR Elliott, H Goodall, F Iezzi, F Livio, AM Michetti, G Roberts, E Vittori (2018). Dual control of fault intersections on stop-start rupture in the 2016 Central Italy seismic sequence. Earth and Planetary Science Letters 500, 1-14. Wedmore, LNJ, LC Gregory, KJW McCaffrey, H Goodall, RJ Walters (in review). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Submitted to Geophysical Research Letters (directly related to this dataset). The dataset will also be available on once the above paper is accepted.

  • Dupont, Valerie (2016) Data for "Kinetics study and modelling of steam methane reforming process over a NiO/Al2O3 catalyst in an adiabatic packed bed reactor" in International Journal of Hydrogen Energy. University of Leeds. Data file containing datasets used to generate the figures and tables in the paper. [Dataset] [Publication]