83 Works

Data for \"Validating the use of multi-sensor devices to estimate physical activity energy expenditure in UK military amputees\"

Peter Ladlow
These data were collected to support a study that assessed the influence of a tri-axial accelerometer (Actigraph GT3X+) worn at the side of the hip on the shortest residual limb in combination with a physiological variable (heart rate) versus a research grade multi-sensor device with pre-determined algorithms (Actiheart) on the prediction of physical activity energy expenditure (PAEE) in traumatic lower-limb amputees during walking in order to develop valid population-specific prediction algorithms. The dataset consists of...

Data supporting \"Structure and properties of ‘Type IV’ lanthanide nitrate hydrate:urea deep eutectic solvents\"

Oliver Hammond & Karen Edler
This dataset contains reduced neutron and X-Ray scattering data. These data can be used to model and determine the nanostructure of novel 'Type IV' lanthanide nitrate hydrate:urea deep eutectic solvents (in this case Ln = Ce), using Empirical Potential Structure Refinement (EPSR) modelling.

Dataset for \"Surface-Controlled Water Flow in Nanotube Membranes\"

Serena Casanova, Matthew Borg, John Chew & Davide Mattia
This dataset includes raw data for the results presented in the article "Surface-Controlled Water Flow in Nanotube Membranes" and specifically for permeance data (Figure 5 in the article), Raman and X-ray photoelectron spectroscopy (XPS) (Figure 2 in the article), surface zeta potential calculation and additional micrography as applied to carbon nanotube (CNT) and carbon nitride nanotube (CNNT) membranes.

Data set for \"Taking aversive action: an experimental investigation into the negotiation of bodily limits\"

Abby Tabor
This data set includes all data associated with the study, "Taking aversive action: an experimental investigation into the negotiation of bodily limits." The data include Gender, Age, BMI and Activity levels (IPAQ). In addition they include all data associated with the main variables of the study, including Interoceptive Accuracy, Heart Rate Variability, Anxiety Sensitivity, Porges Body awareness, and Mean Power Output. Absolute difference scores are provided for time intervals 1, 2, and 3.

How we remember war and violence: theory and practice UNREST MOOC

Nina Parish & Ayshka Sené
This dataset contains video content and articles created by the University of Bath for the Horizon 2020 funded project 'Unsettling Remembering and Social Cohesion in Transnational Europe' (UNREST). This content was filmed and written for a Massive Open Online Course (MOOC) which was hosted on the Future Learn platform. The course contains interviews with UNREST researchers from the 6 Work Packages on the project. The content is divided thematically into four weeks: Antagonistic memory, Cosmopolitan...

Data sets for the Journal of Non-Crystalline Solids X: Article entitled \"Pressure induced structural transformations in amorphous MgSiO_3 and CaSiO_3\"

Philip Salmon & Anita Zeidler
Data sets used to prepare Figures 1-14 in the Journal of Non-Crystalline Solids X article entitled "Pressure induced structural transformations in amorphous MgSiO_3 and CaSiO_3." The files are labelled according to the figure numbers. The data sets were created using the methodology described in the manuscript. Each of the plots was drawn using QtGrace (https://sourceforge.net/projects/qtgrace/). The data set corresponding to a plotted curve within an QtGrace file can be identified by clicking on that curve....

Dataset for \"Non-locking screw insertion: no benefit seen if tightness exceeds 80% of the maximum torque\"

James Fletcher, Beate Ehrhardt, Alisdair MacLeod, Michael R. Whitehouse, Harinderjit Gill & Ezio Preatoni
Screws are the most commonly used orthopaedic implant, however they are frequently overtightened when inserted. Using screw, bone and screw hole characteristics, maximum torque for a screw hole is predicted prior to insertion. Using this, optimum tightness as a percentage of the maximum torque is investigated as functions of compression and pullout forces. This data set provides the raw data for these investigations. The methodology is described in detail in the related manuscript: Fletcher, J.,...

Dataset for \"Winter thermal comfort and health in the elderly\"

Caroline Hughes, Sukumar Natarajan, Chunde Liu, Woong Chung & Manuel Herrera Fernandez
The data within this dataset was collected from 43 homes, all in Bath, UK, with at least one occupant aged 65 or over. Sensors were placed in the living rooms and bedrooms of the participating homes to measure temperature at 90-minute intervals throughout the phases of the project. There were four phases in total: November 2016 – March 2017; June 2017 – September 2017; November 2017 – March 2018; June 2018 – September 2018. Corresponding...

Embodied energy and embodied carbon of 81 shelters globally

Noorullah Kuchai, Aude Matard, David Coley & Stephen Allen
This excel file contains information and calculations used to estimate the embodied energy and the embodied carbon of emergency, transitional and durable shelters used to house displaced persons. The study considers a sample of 81 shelters drawn from 34 countries in South and Central America, Africa, Europe, the Middle East and Asia.

Dataset for \"Quantitative analysis of anti-resonance in single-ring, hollow-core fibres\"

David Bird, Peng Song & Kah Yung Phoong
This dataset contains the data used to create Figures 2 to 5 in the paper, "Quantitative analysis of anti-resonance in single-ring, hollow-core fibres". The data represents the confinement loss of jacketed and unjacketed single-ring, hollow-core fibres and of a reference model consisting of concentric glass and air layers. The different Figures, and the related datasets, show the dependence of the confinement loss on the structural parameters of the fibres. Data for jacketed and unjacketed fibres...

Advancing Research Computing (ARC)

The Advancing Research Computing (ARC) service is focused on supporting, training and collaborating with the research community to drive innovation, nurture research talent and to help our researchers excel. ARC manages access to a range of state-of-the-art High Performance Computing (HPC) systems and provides consultancy and support through Research Software Engineers (RSEs). Through training courses, workshops and networking events we are helping develop a vibrant and engaging computational research community.

Dataset for \"‘Double’ Displacement Talbot Lithography: fast, wafer-scale, direct-writing of complex periodic nanopatterns\"

Pierre Chausse, Emmanuel Le Boulbar, Pierre-Marie Coulon & Philip Shields
This study developed a new low-cost nanolithographic tool for creating periodic arrays of complex, nano-motifs, across large areas within minutes. Displacement Talbot Lithography is combined with lateral nanopositioning to enable large-area patterning with the flexibility of a direct-write system. This enables the creation of different periodic patterns in short timescales using a single mask with no mask degradation. The dataset includes images of Matlab models (in .csv format) and SEM experimental pictures of the different...

Dataset for \"High quality hydrogen silsesquioxane encapsulated graphene devices with edge contacts\"

Penglei Li, David Collomb & Simon Bending
Datasets underpinning the four figures for "High quality hydrogen silsesquioxane encapsulated graphene devices with edge contacts" in Materials Letters. The primary data files are transmission line measurements for edge contacts and Hall mobilities of devices with and without hydrogen silsesquioxane (HSQ) encapsulation. Also included are a device processing chart and atomic force microscopy (AFM) profiles. Raman data presented in the Supporting Information are also included.

Dataset for: \"The nanometer limits of ballistic and diffusive hot-hole mediated nonlocal molecular manipulation\"

Henry Etheridge, Kristina Rusimova & Peter Sloan
This dataset contains data supporting the results presented in the paper "The nanometer limits of ballistic and diffusive hot-hole mediated nonlocal molecular manipulation". It includes the data used to plot each figure associated with this publication. We report an experimental investigation into the surface-specific and experimental limits of the range of STM induced nonlocal molecular manipulation. We measure the spot-size of the nonlocal manipulation of bromobenzene molecules on the Si(111)-7×7 surface at room temperature at...

Dataset for \"Strategies for Deposition of LaFeO3 Photocathodes: Improving Photocurrent with a Polymer Template\"

Emma Freeman, Santosh Kumar, Verónica Celorrio, Min Su Park, Jong Hak Kim, David J. Fermín & Salvador Eslava
LaFeO3 (LFO) has been shown to be an active photocathode for solar water splitting on illumination of visible light, but is restricted by low surface area and relatively low photocurrents achieved. The work herein utilizes a variety of different film deposition methods for LFO photocathodes. Doctor blading of LFO powders (LFO-A), milling and exfoliation of LFO powders deposited by spray pyrolysis (LFO-B), deposition of LFO nitrate precursors by spray pyrolysis (LFO-C) and spin coating of...

Dataset for \"Effect of soil models on the prediction of tunnelling-induced deformations of structures\"

Giorgia Giardina
The dataset includes the results of computational models of centrifuge testing, produced for the purpose of comparing different constitutive models for the soil. Data files are named after the corresponding figure in the associated paper 'Influence of soil modelling on the assessment of tunnelling-induced deformations of structures'.

Supplementary materials for \"Improvement of optical and mechanical properties of self-written polymer waveguides bridged single mode fibers\"

Pshko Mohammed & William Wadsworth
The dataset includes detail of fibre treatments with adhesion promoter and the impact of treatment duration on the fibre ends. Then the detail of mechanical properties of polymer waveguides are presented under both transverse misalignment and tensile stress. The effect of photo-bleaching is also investigated when polymer bridges were put under tensile stress. Finally, extra information is presented about millimetre-long waveguides and how the bidirectional curing technique enabled us to fabricate up to 1.2 mm...

Dataset and figures for \"Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts\"

Caitlin Taylor, Anyela M. Ramirez Canon, Jannis Wenk & Davide Mattia
Zinc oxide (ZnO) displays superior properties as a photocatalyst for water treatment compared to widely used TiO2. More widespread application of ZnO, though, is hampered by its low stability and high photo-corrosion in aqueous environments, with the latter further enhanced under UV irradiation. The paper associated with this dataset, "Enhancing the Photo-corrosion Resistance of ZnO Nanowire Photocatalysts", shows for the first time that oxygen plasma post-treatment significantly enhances the photo-corrosion resistance of ZnO nanowire films...

'On Fast Matrix Inversion' Cancellations Demonstration Worksheet

Zak Tonks
A Maple (2018) worksheet created to demonstrate cancellations found in the accompanying paper 'On Fast Matrix Inversion by Fast Matrix Multiplication', written by Zak Tonks and published on ArXiV. This worksheet also describes and demonstrates additional effects mentioned in the paper, such as the use of padding on the new object "Delta" in the fraction free case.

Dataset for \"Bore collapse and wave run-up on a sandy beach\"

Erwin Bergsma, Chris Blenkinsopp & Kevin Martins
This dataset comprises the primary data used in the paper "Bore collapse and wave run-up on a sandy beach". The study collected high spatial-temporal resolution LiDAR field measurements of the evolving free-surface in the surf and swash zone which enable the bore collapse detection for 166 waves. These measurements are used to investigate the link between broken wave properties at bore collapse and wave run-up. The dataset is comprised of a two .mat files generated...

Dataset for \"3D Printed composite membranes with enhanced anti-fouling behaviour”

Abouther Al-Shimmery, Davide Mattia, Y. M. John Chew, Saeed Mazinani & Jing Ji
This dataset includes all the original data for this project including the design of the 3D membrane support, detailed methodology of membrane preparation and characterisation results, raw data of the filtration tests.

Dataset for Hollow-fiber membrane technology: Characterization and proposed use as a potential mimic of skin vascularization towards the development of a novel skin absorption in vitro model

Marianne Ellis
This dataset contains data collected using capillary bed bioreactor (CBB), a new method for pseudovascularisation of skin models. The data was collected by sampling the permeate that exited the fibres, and the amount of caffeine in the samples was measured using HPLC for the purpose of assessing permeability. By observing and analyzing the data we can conclude that the new bioreactor will be more physiologically accurate than the current model and can therefore potentially refine...

Dataset for \"Alkali activation behaviour of un-calcined montmorillonite and illite clay minerals\"

Alastair Marsh
Chemical characterisation data describing the precursors and cured products formed when reacting montmorillonite and illite clay precursors with sodium hydroxide solution at Na:Al molar ratios of 0-1.5 and 0-0.75. Version 2 includes additional data for the mass spectrometry results.

Dataset for 'Electricity generation from moss with light-driven microbial fuel cells'

Pablo Ampudia Castresana, Sara Monasterio Martinez, Emma Freeman, Salvador Eslava & Mirella Di Lorenzo
This dataset includes the raw data collected for the Figures 2, 3, 4, 5, and 8 within the research paper entitled 'Electricity generation from moss with light-driven microbial fuel cells'. This dataset includes X-ray diffraction, linear sweep voltammetry, current vs. time, cyclic voltammetry, current vs. power density, current vs. polarization and electrochemical impedance spectroscopy measurements.

Dataset for the Optimised filler materials for high-performance composite structures PhD project in collaboration with GKN Aerospace

Zsombor Sápi, Richard Butler & Andrew Rhead
The dataset contains the load-displacement data of the T-joint tensile tests collected during the Optimised Filler Materials for High-Performance Composite Structures PhD project.

Registration Year

  • 2019
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