1401 research outputs found
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In-situ TOF-SIMS, SEM, and XRD data for Borate Coating on Steel
No full textThis dataset contains extracted time-of-flight secondary mass spectroscopy (TOF-SIMS) acquired at a series of temperature on borate coating on steel samples. The dataset also contains associated complementary data. such as X-ray difrraction at different temperatures, scanning electron diffraction images at different temperatures, and TOF-SIMS control experiments at individual temperatures and a different beam energy. The data is extracted and presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python
Sensory attribute and difference from control ratings of Jaffa cakes
No full textThe dataset contains assessor ratings on three samples of Jaffa cakes purchased from three UK commercial brands. A panel of untrained assessors (n=67) evaluated the samples using the overall difference testing method -difference from control (DFC) and the attribute intensity rating test. The orange flavour, sweetness, cocoa flavour, milky flavour and saltiness intensities of the samples were evaluated. RedJade sensory software was used for data collection between July and August 2023 in the Food Technology Laboratory of the School of Food Science and Nutrition, University of Leeds. Demographic data (frequency of consumption of the samples prior to the study, gender, age, ethnicity and country of birth) were also collected
Data to support Activating a High-Spin Iron(II) Complex to Thermal Spin-Crossover with an Inert Non-Isomorphous Molecular Dopant
Get PDF[Fe(bpp)2][ClO4]2 (bpp = 2,6-bis{pyrazol-1-yl}pyridine) is high-spin but [FexNi1−x(bpp)2][ClO4]2 with 26 % Ni doping exhibits a complete, abrupt thermal spin-transition near 250 K
Dataset for a randomised factorial experiment to optimise an information leaflet for women with breast cancer
Get PDFMost women with breast cancer are prescribed adjuvant endocrine therapy (AET) to prevent recurrence and mortality, but adherence is low. Negative beliefs about the necessity of AET and high concerns are barriers to adherence. We aimed to optimize the content of an information leaflet intervention, to support AET beliefs. We conducted an online screening experiment using a 2^5 factorial design to optimize the leaflet. The leaflet had five candidate components, each operationalised as factors with two levels; 1) diagrams about AET mechanisms (on/off); 2) infographics displaying AET benefits (enhanced/basic); 3) AET side-effects (enhanced/basic); 4) answers to AET concerns (on/off); 5) breast cancer survivor (patient) input: quotes and photographs (on/off). Healthy adult women (n=1604), recruited via a market research company, were randomized to one of 32 experimental conditions, which determined the combination of components received. Participants completed the beliefs about medicines questionnaire before and after viewing the leaflet. After viewing the leaflet, participants also completed a modified version of the satisfaction with information about medicines questionnaire to assess their satisfaction with information received about AET, and eight true/false questions about AET, to assess their knowledge about AET after reading the leaflet
Dataset associated with 'Sub-micron Diffractive Optical Elements Facilitated by Intrinsic Deswelling of Auxetic Liquid Crystal Elastomers'
No full textContains AFM profile scans, diffraction angles, diffraction efficiencies of a diffractive optical element made from a liquid crystal elastomer. Includes change in pitch and diffraction efficiency for changes in temperature and strain
SpatialLM-StepGame
No full textThis dataset, associated with the AAAI-24 paper "Advancing Spatial Reasoning in Large Language Models: An In-depth Evaluation and Enhancement Using the StepGame Benchmark", aims to enhance spatial reasoning evaluations in language models. It rectifies template errors in the StepGame benchmark, providing a refined version in the bAbI format, promoting more accurate evaluation of language models' capabilities in spatial reasoning tasks
Temperature Dependent Polymer Flow Induced Crystallisation Dataset
No full textThis dataset contains data for temperature dependent polymer flow induced crystallisation using the polySTRAND model in the RheoTool toolkit within the CFD software openFOAM
Dataset for 'Robust heteroclinic cycles in pluridimensions'
No full textThe dataset was generated by solving the ordinary differential equations using the Python SciPy library solve_ivp:
solve_ivp(dxdt, [0,tmax], initial_condition, method='RK45', rtol=1e-12, atol=1e-12, max_step=1.0
Data for 'Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip'
No full textThe dataset contains all relevant pictures, AFM scans, Young Modulus related data, z-stacks confocal images, fluorescence data related to permeability experiments and Trans Endothelial Electrical Resistance measurements for the associated paper entitled "Porous polymeric nanofilms for recreating the basement membrane in an endothelial barrier-on-chip".
All graphs originated from images or AFM scans can be reproduced following the relevant method section in the associated publication. The dataset is aimed at allowing users to re-analyze the data and reproduce the observations made in the associated publication
Supporting Data for "Stirring the false vacuum via interacting quantized bubbles on a 5564-qubit quantum annealer"
No full textThis repository contains a D-Wave submission example script, raw data analysis example script, and plotting scripts used in producing figures in the main text of the paper titled "Stirring the false vacuum via interacting quantized bubbles on a 5564-qubit quantum annealer" authored by Jaka Vodeb, Jean-Yves Desaules, Andrew Hallam, Andrea Rava, Gregor Humar, Dennis Willsch, Fengping Jin, Madita Willsch, Kristel Michielsen and Zlatko Papic