1401 research outputs found
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Dataset for 'Sustainability in the context of the UK pharmaceutical industry (2000-2020): Media representations and stakeholder perceptions'
No full textSet of transcripts of ten semi-structured interviews, conducted in 2023 and 2024 via online meetings, with participants whose knowledge and experience was useful for the research on the doctoral thesis about the concept of sustainability in the context of the UK pharmaceutical industry in the period between 2000 and 2020 and about its media representations and stakeholder perceptions, in particular the research on how social evaluators take on the role of disseminating and evaluating corporate sustainability and examination on how social evaluation and the engagement of social influencers play out in the setting of joint multi-stakeholders sustainability projects, conducted by Dejan Zec between 2020 and 2024, for this doctoral thesis at the School of Earth and Environment, The University of Leeds
Data for “Understanding the Dissolution of Cellulose and Silk Fibroin in 1-ethyl-3-methylimidazolium Acetate and Dimethyl Sulfoxide for Application in Hybrid Films”.
No full textThis is data for a paper that investigates the dissolution of two biopolymers, cellulose and silk fibroin, in a mixture of 1-ethyl-3-methylimidazolium acetate (EmimAc) and dimethyl sulphoxide (DMSO). EmimAc is a promising environmentally friendly solvent currently in wide use but can be limited by its high viscosity, which inhibits the speed of dissolution. To mediate this, DMSO has been used as a cosolvent and has been shown to significantly lower the solution viscosity and aid mass transport. Dissolution experiments are carried out separately for both cellulose and silk fibrion with a range of EmimAc:DMSO ratios from 100 wt% EmimAc to 100 wt% DMSO. Interestingly, the optimal EmimAc:DMSO ratio (in terms of dissolution speed) is found to be very different for the two biopolymers. For cellulose, a mixture of 20 wt% EmimAc with 80 wt% DMSO is found to have the fastest dissolution speed, while for silk fibroin, a ratio of 80 wt% EmimAc with 20 wt% DMSO proves the fastest. These dissolution trials are complemented by rheological and nuclear magnetic resonance experiments to provide further insight into the underlying mechanisms. Finally, we produce hybrid biopolymer films from a solution to show how this work provides a foundation for future effective dissolution and the preparation of hybrid biopolymer films and hybrid biocomposites
Sensory attribute ratings of chocolate spreads
No full textThe dataset contains sensory attribute intensity ratings on three samples of orange-flavoured chocolate spreads purchased from three UK commercial brands. The samples were evaluated by two separate panels, one trained panel (n=7) and the other untrained (n=24). Each panel rated the intensities of five attributes- orange flavour, sweetness, cocoa flavour, milky flavour and saltiness on an 8-point categorical scale (from 0-7). RedJade sensory software was used for data collection between November and December 2022
Cardiac diffusion MRI data with 300 mT/m gradient system. [Dataset].
No full textCardiac diffusion weighted images acquired from ten healthy
volunteers using a spin-echo sequence with up to second and third-order motion compensation (M2 and M3) and b = 100, 450, and 1000 s/mm2
Dataset for Leaflet Stresses During Crimping Simulations of a CoreValve Evolut Pro Model using a Compression Loading System
No full textThis dataset contains the 3D models for a CoreValve frame, skirt and leaflets; alongisde 3D models for the components of a Compression Loading System (CLS): inlow cone, outflow cone, inflow tube for the computational simulation of device crimping using the CLS. The .inp file defining the simulation parameters is also included. 3D modelling software was Rhinoceros 8, and the simulation software was ABAQUS 2022
Dataset for "Determining aluminium co-ordination of kaolinitic clays before and after calcination with electron energy loss spectroscopy"
No full textDeveloping a greater understanding of kaolinite dehydroxylation upon calcination is crucial for several industrial applications, including cements. Aluminium coordination in meta-kaolinite indicates the extent of its dehydroxylation and its potential chemical reactivity, and it is typically determined using 27Al magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectroscopy. This technique however presents limitations for Fe-rich materials, given the magnetic properties of Fe ions and minerals containing Fe. In this study, the effect of calcination on Al coordination was assessed in a low-Fe clay used as a reference system, and a Fe-rich clay. Al coordination in the low-Fe clay was quantified via 27Al MAS NMR spectra deconvolution, using data collected at 9.4 T and 11.7 T. Energy dispersive X-ray spectroscopy (EDX) maps and electron energy loss spectroscopy (EELS) measurements were carried out in a scanning transmission electron microscope (STEM) on both clays. Al K-edge EEL spectra showed distinguishable 4/5-fold Al and 6-fold Al sites in both clay types. Differences in line-profile indicated a higher proportion of 4/5-fold Al in kaolinite in the Fe-rich clay compared to the low-Fe clay. Conversely, the Fe-rich clay contained a lower proportion of 4/5-fold Al in meta-kaolinite after calcination, relative to the low-Fe clay. These differences are consistent with the greater structural disorder of the meta-kaolinite identified in the Fe-rich clay by X-ray diffraction and the geological origins of both clays. Overall, this study demonstrates the potential of EELS to provide information about Al coordination for individual kaolinite and meta-kaolinite particles
Finite Element Models through patient specific gait in people with haemophilia
No full textThe data comprises Finite Element model files, analysis script for Abaqus 2017 and outputs of interest for a gait-driven simulation of the tibiotalar join
A Practical Guide to Characterising Data and Investigating Data Quality
Get PDFThis guide is designed for data scientists to use in their day-to-day work, and describes a comprehensive list of tasks to perform when investigating data quality and profiling data, and a six-step recommended workflow. Each of the 62 tasks is articulated as a question (and sometimes several questions) to answer about your data. The guide also provides pointers to a Python package (vizdataquality) that implements the workflow, a film about visualizing data quality and other useful resources
Nanomachine Networks: Functional All-Enzyme Hydrogels from Photochemical Cross-Linking of Glucose Oxidase - Dataset
No full textEnzymes are attractive as catalysts due to their specificity and biocompatibility, however their use in industrial and biomedical applications is limited by stability. Here we present a facile approach for enzyme immobilisation within ‘all-enzyme’ hydrogels by forming photochemical covalent cross-links between glucose oxidase. We demonstrate their mechanical properties are dependent on enzyme concentration and the dimeric nature of glucose oxidase results in unusual gel formation behaviour. We quantify enzyme activity of the hydrogel using the Trinder assay. Employing a 1D modelling approach to understand these experimental data shows that the Michaelis constant KM increases, from 18.6 mM to 41 mM and enzymatic specific activity reduces from 137.4 U/mg to 68 U/mg upon hydrogel formation. We suggest that these effects are due to forces on the individual nanoscale enzymes during network formation. This approach provides enormous potential for producing biocatalytic materials with tuneable mechanical properties and high volumetric productivity
Dataset associated with Terahertz microscopy using Laser Feedback Interferometry based on a Generalised Phase-stepping Algorithm
No full textThis dataset relates to data presented in the work "Terahertz microscopy using Laser Feedback Interferometry based on a Generalised Phase-stepping Algorithm". In this work we report an improved method of coherent sensing through the use of a generalized phase-stepping algorithm to extract magnitude and phase information from interferometric fringes acquired by laser feedback interferometry (LFI). Our approach allows for significantly reduced optical sampling and acquisition times whilst also avoiding the need for fitting to complex models of lasers under optical feedback in post-processing. We investigate theoretically the applicability of this method under different levels of optical feedback, different laser parameters, and for different sampling conditions. We furthermore validate its use experimentally for LFI-based sensing using a terahertz (THz)-frequency laser in both far-field and near-field sensing configurations. Finally we demonstrate our approach for two-dimensional nanoscale imaging of the out-of-plane field supported by individual micro-resonators at THz frequencies. Our results show that fully coherent sensing can be achieved reliably with as little as 4 sampling points per imaging pixe