1056 research outputs found
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Dataset for - Continuous Production of Cellulose Microbeads via Membrane Emulsification
No full textPrimary data relevant to figures 3 and 4 in the quoted references (10.1021/acssuschemeng.7b00662). The data for figure 3 consists of laser scattering data expressed as volume percents consisting of three runs per sample. The data for figure 4 is mechanical compression data detailing the force required to compression a sample by a certain percentage.The data represented in figure 3 was collected via particle sizing of the formed aqueous microbead dispersions. Each sample was subject to three data collection runs and an average take. The data is expressed as a volume percent.
The mechanic compression data collected to produce figure 4 was produced from 10 repeats on beaded samples of varying crosslinking.All data was processed in excel 201
Reprocell 500, Reprocell 300 and LD40 Polyurethane foam mechanical and characterisation tests October 2016 - April 2017
No full textThis dataset encompasses the first phase of experimentation concerning low and high density polyurethane foam, from October 2016 - April 2017. The data, along with SEM and stereo microscope images, forms the basis of two journal papers. Three types of commercially available polyurethane foam were analysed: Reprocell 500 (high density), Reprocell 300 (medium density) and LD40 (low density). Mechanical tests consisted of Compressive, flexural, shear, creep and drilling resistance. Material characterisation in this dataset encompasses XRD, FTIR, DMA and STA. The dataset also contains rheology tests done on the liquid components here at the University of Bath and on the curing, mixed high density Reprocell 500 foaming liquid conducted at Malvern Instruments.Laboratory tests on material specimens.Data processed in Microsoft excel
All-fibre pseudo-slit reformatters
No full textCollected data and code used for the results presented in the paper All-fibre pseudo-slit reformattersAn IR camera (Xenics XEVA -927) used and the near- and far- field intensity patterns were collected. Images were processed using the uploaded code.Matlab code for analysing the NF and FF intensity patterns captured using the IR camera. The code plots the x and y intensity profiles of all NF and FF patterns and calculates the centroid drift for each direction
Data supporting: Resilience of Malic Acid Natural Deep Eutectic Solvent Nanostructure to Solidification and Hydration
No full textThis dataset contains processed neutron diffraction used for EPSR modelling, and quasi-elastic neutron scattering data in support of the named article.Neutron diffraction measurements were made using the SANDALS instrument at the STFC ISIS Pulsed Neutron and Muon Source, UK. Samples of the Deep Eutectic Solvent malicine (1 choline chloride:1 malic acid) and aqueous mixtures thereof were measured in different isotopic substitutions at either room or cryogenic temperature, and in pure and hydrated states. QENS data for analogous hydrogenated samples were collected between 7 - 301 K using the IRIS instrument, also at STFC ISIS Pulsed Neutron and Muon Source, UK.Neutron scattering data were reduced using the freely-available software GudrunN [1], provided by STFC ISIS Neutron and Muon Source. Corrections were made for the sample environment background, the data are normalised, and the inelastic scattering of hydrogen is subtracted.
QENS data have been processed using the standard procedures of MantidPlot (open source). Raw data were reduced accounting for detector efficiency (using the scattering from a vanadium can), scattering from the can and sample absorption. The elastic window scans were performed in MantidPlot normalising the elastic intensity to the lowest temperature (7 K).
[1] Soper, A.K., 2011. GudrunN and GudrunX: Programs for correcting raw neutron and X-ray diffraction data to differential scattering cross section. Science and Technology Facilities Council.Neutron diffraction data were created using GudrunN software [1]. They are simple text files that can be plotted and read with any typical graphing software. They are designed to be used as input files for the freely-available EPSR software suite, provided by STFC ISIS Neutron and Muon Source. Similarly, the QENS datasets are provided as simple text files.
[1] Soper, A.K., 2011. GudrunN and GudrunX: Programs for correcting raw neutron and X-ray diffraction data to differential scattering cross section. Science and Technology Facilities Council
Hybrid top-down/bottom-up fabrication of regular arrays of AlN nanorods for deep-UV core-shell LEDs: Dataset
No full textThis dataset contains scanning electron microscopy (SEM) images and Catodoluminescence (CL) measurements carried out on AlN nanorod. The samples were fabricated via a hybrid top-down/bottom up approach. Displacement Talbot Lithography is used to fabricate Au/Ni metal dots to act as a hard etch mask. AlN nanorod arrays are created by inductively coupled plasma dry etching of an AlN template. AlN facet recovery is performed by Metal Organic Vapor Phase Epitaxy regrowth. CL was used to assess the optical quality of the AlN nanorod.Secondary electron images were captured using a Hitachi S-4300 scanning electron microscope (SEM). An accelerating voltage of 5 kV was used to collect the images.
Cathodoluminescence spectroscopy was carried out at room temperature in a modified FEI Quanta 250 field emission SEM with various accelerating voltages. Light was collected using an NA0.28 reflecting objective with its axis perpendicular to the electron beam and focused directly to the entrance of the spectrograph using an off-axis paraboloidal mirror. We used a 125 mm focal length spectrograph with a 600 lines/mm grating and 50 μm entrance slit, coupled to a cooled electron multiplying charge-coupled device (EMCCD) detector
Data set for Carbonation of Hydrous Materials at the Molecular Level: a ToF-SIMS, Raman and DFT Study
No full textExperimental and computational data to support article: 'Carbonation of Hydrous Materials at the Molecular Level: a ToF-SIMS, Raman and DFT Study'. Includes ToFSims Data, Raman Data from the study of hydration of portlandite containing O18 and computational DFT data using VASP to support the analysis.The data was collected, generated or analysed as described in the associated paper
Data for "Chemical and Lattice Stability of the Tin Sulfides"
No full textRaw data to accompany the article "Chemical and Lattice Stability of the Tin Sulfides". This dataset includes the optimised structures, force constants, phonon dispersions and density of states curves, and thermodynamic functions for the seven compounds studied in this work
Dataset for 'Prior exercise alters the difference between arterialised and venous glycaemia – implications for blood sampling procedures'
Get PDFOral glucose tolerance and insulin sensitivity are common measures, but are determined using various blood sampling methods, employed under many different experimental conditions. This study established whether measures of oral glucose tolerance and oral glucose-derived insulin sensitivity (ISI) differ when calculated from venous versus arterialised blood. Critically, we also established whether any differences between sampling methods are consistent across distinct metabolic conditions (after rest versus after exercise). Ten healthy men completed two trials in a randomised order, each consisting of a 120-minute oral glucose tolerance test (OGTT), either at rest or post-exercise. Blood was sampled simultaneously from a heated hand (arterialised) and an antecubital vein of the contralateral arm (venous). Under both conditions, glucose time-averaged area under the curve was greater from arterialised compared to venous plasma but importantly, this difference was larger after rest relative to after exercise (0.99 ± 0.46 versus 0.56 ± 0.24 mmol/L respectively; p < 0.01). OGTT-derived ISIMatsuda and ISICederholm were lower when calculated from arterialised relative to venous plasma and the arterialised-venous difference was greater after rest versus after exercise (ISIMatsuda: 1.97 ± 0.81 versus 1.35 ± 0.57 au, respectively; ISICederholm : 14.76 ± 7.83 versus 8.70 ± 3.95 au, respectively; both p < 0.01). Venous blood provides lower postprandial glucose concentrations and higher estimates of insulin sensitivity, compared to arterialised blood. Most importantly, these differences between blood sampling methods are not consistent after rest versus post-exercise, preventing standardised venous-to-arterialised corrections from being readily applied. Registered under ClinicalTrials.gov Identifier no. NCT02852044.
Supplementary (individual participant) data are included in this dataset for reported outcome measures.As described in the manuscript, ten healthy men completed a preliminary assessment of body composition and an incremental cycling exercise test, before two main trials, where a 120-minute oral glucose tolerance test (OGTT) was completed either after rest or after moderate intensity cycling. Arterialised and venous blood samples were collected simultaneously at baseline (after a minimum 10 h fast) and at 15 minute intervals post glucose ingestion. To obtain arterialised samples, participants placed their dominant hand into a heated-air box set to a constant temperature of 55°C, and after 20 minutes, an intravenous cannula was fitted in the heated dorsal hand vein (retrograde). To obtain venous samples, an intravenous cannula was fitted in the antecubital fossa of the contralateral arm (antegrade). All samples for a given participant were analysed in batch within the same assay/plate
Dataset for 'Prevention of Encrustation and Blockage of Urinary Catheters by Proteus mirabilis via pH-Triggered Release of Bacteriophage'
No full textThe crystalline biofilms of Proteus mirabilis can seriously complicate the care of patients undergoing long-term indwelling urinary catheterisation. Expression of bacterial urease causes a significant increase in urinary pH, leading to the supersaturation and precipitation of struvite and apatite crystals. These crystals become lodged within the biofilm, resulting in the blockage of urine flow through the catheter.
This dataset presents the effect on bacterial growth, and hence time to blockage of urinary catheters as a result of an infection-responsive surface coating, which releases a therapeutic dose of bacteriophage in response to elevated urinary pH. The coating employs a dual-layered system comprising of a lower hydrogel ‘reservoir’ layer impregnated with bacteriophage, capped by a ‘trigger’ layer of the pH-responsive polymer poly(methyl methacrylate-co-methacrylic acid) (EUDRAGIT®S 100). Evaluation of prototype coatings using a clinically reflective in vitro bladder model resulted in the doubling of catheter blockage time under conditions of established infection in response to a 'burst release' of bacteriophage.
The data presented shows the time to blockage for both models infected with urease positive and negative bacteria, as well as the change in bacterial CFU/ml and bacteriophage PFU/ml with time. Samples taken directly from the bladder at time intervals show the simultaneous reduction in bacterial count, accompanied by an increase in viral concentration. Atomic absorption spectroscopy data also presented quantifiably shows the reduction in crystalline biofilm biomass after bacteriophage release within the bladder.Measurement of bacterial and bacteriophage count within bladder models by measuring CFU/ml and PFU/ml at various time points after serial dilution into PBS buffer/SM buffer and plating on NSLB agar/ LB agar.
Visual evaluation of plates including colony counting and viral plaque counting.
Biofilm biomass was quantified using Atomic Absorption Spectroscopy (AAS).All data were processed in GraphPad Prism software. Graphs were plotted and statistical analysis (unpaired t test) were performed within the same software.Equipment: Electronic pH meter (Jenway)
Plate reader (BMG fluorostar)
AAS: Perkin Elmer AAnalyst 100
Combined calcium and magnesium hollow cathode lamp (S&J Juniper & Co)
SEM imaging: JEOL JSM6480LV)
Software: GraphPad Prism 7.02 for Window
Dataset for 'Manufacture and characterization of porous ferroelectrics for piezoelectric energy harvesting applications'
No full textExperimental data consisting of the piezoelectric strain coefficient, relative permittivity and energy harvesting figure of merit measured from barium titanate with 5 - 72 vol.% porosity formed via the burned out polymer spheres method.The data were obtained from measurements on porous barium titanate. Details of sample fabrication methods, measurement techniques and equipment are provided in the related article 'Manufacture and characterization of porous ferroelectrics for energy harvesting applications', Ferroelectrics, 498 (2016) 40-46. The submitted author manuscript is available here: https://researchportal.bath.ac.uk/en/publications/753a8510-923a-459e-89f6-bb7b674aa1f7
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