1056 research outputs found
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Dataset for "Temporal and geographical variation in low carbon inhaler dispensing in England, 2016 to 2021: an ecological study"
Get PDFThis dataset include two types of data:
1) The number of dispensed items in England for 198 different types of inhaler and their total cost, by month (201603 to 202102) and clinical commissioning group, obtained from openprescribing.net.
2) Clinical commissioning group population characteristics obtained from publicly available data sources.
The dataset also includes a classification of the inhalers into pharmacological classes and either pressurised metered dose inhalers or low carbon inhalers (dry powder inhalers or soft mist inhalers).Inhaler items and cost data were downloaded from openprescribing.net at the product format level (OpenPrescribing.net, Bennett Institute for Applied Data Science, University of Oxford, 2021).
Clinical commissioning group (CCG) population age profiles (percentage under 15, and over 80 years old) for 2019 were obtained from the Office for National Statistics licensed under the Open Government Licence v.3.0. CCG asthma and COPD prevalence (%), emergency hospital admissions (EHA, per 100,000 population) and mortality rates (per 100,000 population) were obtained from Public Health England under the Open Government Licence v.3.0. Local formularies and guidelines on CCG public websites in May 2021 were reviewed to record the presence or absence of advice on the carbon footprint of inhalers and the number of recommended pressurised metered dose inhalers (pMDI) and low carbon inhalers (dry powder inhalers and soft mist inhalers) in each pharmacological class.To control for changes in the volume of inhaler dispensing, the key outcome measure used in this study is the percentage of low carbon inhalers dispensed, defined as the number of low carbon inhaler items dispensed relative to the total number of pMDI and low carbon inhaler items. In addition, the average cost for pMDI and low carbon inhaler items was defined as the total cost of them items divided by the total number of items.N/ASee README.txt fil
Dataset for "High resolution magnetic microscopy based on semi-encapsulated graphene Hall sensors"
No full textThe dataset contains all the underpinning data for the manuscript entitled "High resolution magnetic microscopy based on semi-encapsulated graphene Hall sensors" published in Applied Physics Letters. This includes the characterisation data for semi-encapsulated nanoscale graphene Hall sensors as well as the results of their use to image ferrimagnetic domains in a Yttrium Iron Garnet (YIG) film. The manuscript describes the 'hot pick-up' protocol used to fabricate sensors as well as characterisation of the key figures-of merit, i.e., sensitivity and minimum detectable field. The improvement in quality due to partial encapsulation quality is demonstrated and proof-of-principle measurements made of ferrimagnetic domains in a YIG film under applied in-plane magnetic fields.This archive contains various types of experimental research data. Atomic force microscopy images (*.ibw) were captured with a commercial Asylum microscope. Raman spectroscopy data were captured with a Renishaw inVia confocal Raman microscope. Hall voltage noise data were captured with a Nanomagnetics Instruments SPM controller and an HP 3652A Dynamic Signal Analyser. Scanning Hall probe images were captured with a Nanomagnetics Instruments scanning probe head and controller.Scanning Hall probe images have been converted to *.txt files for easier access using the Nanomagnetics Instruments commercial software
Dataset for "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation"
Get PDFPhotocatalytic foams combine the advantages of slurries and immobilised photocatalysts for water treatment. The paper associated with this dataset, "Highly efficient ZnO photocatalytic foam reactors for micropollutant degradation" describes the performance of ZnO photocatalytic foams in recirculation and single-pass configuration reactors. The photocatalytic activity was systematically studied for flow rate, catalyst length and stability parameters using Carbamazepine (CBZ) as a model pollutant. This dataset contains Carbamazepine photocatalytic degradation data underpinning these results. Materials characterisation data comprises Zn concentration in the solution after photocatalysis (ICP/MS), X-ray diffraction data and Scanning Electron Microscopy (TEM/SEM) images. Simulation results are provided from the code developed in Matlab and compared to experimental data.All experimental details including sampling, procedures and methodologies are fully described in the associated paper.All technical details are fully described in the associated paper. Origin Software (version 2017 Academic 64 bit) was used to create the Figures presented in the manuscript and Blender for the graphical abstract. Simulation data was perfomed using Matlab 2021 software.The spreadsheet contains the following tabs:
• Data for photocatalytic degradation using ZnO foams in Figures 3, 4, 5, and S2 in the manuscript, respectively;
• SEM and FE-SEM original micrographs in the manuscript (Figures 2) and ESI (Figure S4);
• X-ray diffraction data for Figure S.1 in the ESI;
• HPLC calibration data for Carbamazepine;
• Zn concentration;
• Quantum efficiency and EEO (Tables 1 and 3);
• UV dose data Figures 3 and 5 in the manuscript, Figure S2 ESI and Tables S4 and S5 ESI;
• Hydrodynamics parameters Tables S6 and S7 ESI
• Simulation: Figure 7 in the manuscript, Figures S5 to S8 ESI and Tables S10 and S11
Data sets for "Structure and related properties of amorphous magnesium aluminosilicates"
No full textData sets used to prepare Figures 4-22 and S1-S11 in the Physical Review Materials article entitled "Structure and related properties of amorphous magnesium aluminosilicates." The data sets describe the structure across a wide composition range.The data sets were collected using the methods described in the published paper.The figures were prepared 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.The files are labelled according to the corresponding figure numbers. The units for each axis are identified on the plots
Dataset for "Membrane extraction with styrene-maleic acid copolymer results in insulin receptor autophosphorylation in the absence of ligand"
No full textThe data was collected to establish whether the insulin receptor maintained its native functionality once extracted into polymer nanodiscs using styrene maleic acid (SMA). The data gathered here show the raw .tiff files of the western blots. Differences in protein activity were quantified by comparing changes between total and phospho- antibody detection, using densitometry. Downstream subunits associated with the insulin receptor cascade were also quantified in this way.
.zip file containing the following items;
1. all raw .tiff files gathered from western blots used for quantification. A MS excel spreadsheet is also included to indicate which bands from the experiments were used for each quantification.
2. all raw .tiff files used for representative blots in each figure, with MS Powerpoint document to show annoted versions for these images.
3. READ_ME.txt file to further describe the data present.
4. Excel spreadsheet with raw data values from densitometry analysis from western blots, representative western blots for each experiment, calculations from the densitometry values and statistics associated with these values.Samples were generated using methods discussed in paper manuscript "Membrane Extraction with Styrene-Maleic Acid Copolymer Results in Insulin Receptor Autophosphorylation in the Absence of Ligand." Samples were separated on 10% SDS polyacrylamide gels and transferred onto nitrocellulose using a semi-dry transfer apparatus, before immunodetection with primary antibodies; either total antibodies or phopho-specific antibodies. Blots were incubated with secondary antibody,HRP, followed by washes. ECL™ Select Western blotting detection reagent was used for detection. Images were acquired with EPI Chemi II darkroom (UVP).Quantification of bands on immunoblots was measured by densitometry using Image Studio Lite (LI-COR Biosciences®). Specific band intensities were normalized to total Akt levels for that sample. The ratios between phospho-specific and total protein band intensities were calculated in the same sample.
Data has been deposited and can be opened with Microsoft Excel.A READ_ME.txt file is included to provide further information of the data present in the .zip file.
Folders labelled "Figure_X", where X corresponds to the figure number, contain raw .tiff files used for representative blots in the paper. An additional MS PowerPoint file is included to annotate these images. "SX" describes the supplementary figures.
All_blots_for_quantification folder contains all raw .tiff files obtained and included in quantification of densitometry values. Experiments_used_for_each_graph.xlsx highlights the experiments and bands used for each quantification, representated by graphs in the paper.
The Excel spreadsheet "collated_InsR_values_for_archive.xlsx" has three tabs;
1. Densitometry_values - holds the raw densitometry values calculated with Image Studio Lite (LI-COR Biosciences®); normalisation to Akt in separate column (L); representative western blots for each sample measured and "fold difference" between basal and + Insulin samples.
2. Calculations - taking the fold difference tables for each experiment, with additional tables calculating fold difference relative to POST SMA Basal (Green) and PRE RIPA Basal (Orange). Averages were taken for each sample across multiple experiments and standard deviation (SD) and standard error mean (SEM) were caculated.
3. Stats - Statistic for each protein of study; InsR, IRS and Akt, across multiple experiments using paired t-tests
Simulation data for toppling and height probabilities in sandpiles
No full textThis dataset provides simulation data used in analyzing the results in Chapter 3 simulation results in the thesis Critical Exponents in Sandpiles by Minwei Sun. This dataset contains simulation data in 2d, 3d, 5d, and 32d in folders named sandpile_data_xd. The characteristics simulated include the toppling probability, the number of waves, and the height probability at the origin.This dataset contains simulation data in 2d, 3d, 5d, and 32d in folders named sandpile_data_xd.
In 2d, we simulate the sandpile model in a box size of 2L x 2L both with periodic boundary conditions for systems with L = 512, 1024, 2048, and 4096 with sample sizes 2 × 10^7, 1.5 × 10^7, 3 × 10^6, and 7.5 × 10^5, and with Dirichlet boundary conditions for systems with L = 512, 1024, 2048, 4096, and 8192 with sample sizes 6 × 10^7, 3 × 10^7, 7.5 × 10^6, 4 × 10^6, and 10^6, respectively.
The characteristics simulated include the toppling probability, the number of waves, and the height probability at the origin.
In 3d, we generate the data of the toppling probability with Dirichlet boundary conditions for systems with L = 32, 64, 128, and 256 with sample sizes 8 × 10^7, 2 × 10^7, 4.5 × 10^6, and 4 × 10^6.
In 5d, we simulate the toppling probability using hashing in the box with radius L = 32. The number of samples taken was 4 × 10^7, with approximately 400 samples discarded due to a full hashtable.
In 32d, we simulate the height probability at the origin using hashing for a system with L = 128 with a sample size 4 × 10^6.
We check our results in two ways to confirm that our methods give results consistent with earlier work. One uses the data to agree with some exponents in the earlier work in 2d and 3d. In 2d, the data are in out files called xxxsink-cluster-origin-aaa with L = xxx, and the overall averages are in text files named by s-origin-2d-average and s-distinct-origin-2d-average. In 3d, the data are in out files called 3d-xxxsink-cluster-origin with L =xxx, and the overall averages are in text files called s-origin-3d-average and s-distinct-origin-3d-average. On the other hand, we check that our methods yield the known height probabilities in 2d with L = 4096 in Dirichlet boundary conditions. The data used are in the text files called probability4096sink-aaa, and the overall average height probability is in the text file named probability4096sink-average. The number of samples generated in each file is 5 x 10^4. There are 80 files in total, so the total sample size is 4 x 10^6
Dataset for "Effects of decentering and non-judgement on body dissatisfaction and negative affect among young adult women"
No full textThis dataset provides cross-sectional, quantitative data from 330 female participants aged 18–35 years with respect to demographics (age, gender, ethnicity, BMI, experience with mindfulness, meditation, or contemplative prayer); self-reported trait mindfulness, weight and shape concerns, and difficulties in emotion regulation; and self-reported state body dissatisfaction (weight dissatisfaction, shape dissatisfaction, appearance dissatisfaction) and negative affect at 3 timepoints (baseline, post-media exposure, and final [after engaging in a strategy focused on decentering, non-judgement, or rest]). It also includes qualitative data files that specify participants' self-reported thoughts and behaviour during the strategy, how participants responded to any negative thoughts and feelings, how participants might use the strategy in everyday life, and any further comments about taking part in the study. One qualitative file contains the raw data only, and the other includes our codes and rationale for rating each participant with respect to their degree of adherence to the strategy instructions.This dataset was created through online data collection using Qualtrics. Demographics and trait/state variables were assessed using validated self-report measures and visual analogue scales.Microsoft Word and SPSS Statistics software is required to view the data
Dataset for ''Stable cellulose nanofibril microcapsules from Pickering emulsion templates''
No full textWe used cationized cellulose nanofibrils (CCNF)-stabilized Pickering emulsions (PE) as templates, and the electrostatic interactions were induced by adding the oxidized cellulose nanofibrils (OCNF) at the oil/water interface to form sustainable microcapsules (MCs). The oppositely charged cellulose nanofibrils enhanced the solidity of interfaces allowing the encapsulation of Nile red (NR) dye in sunflower oil droplets. This dataset provides the raw data of the dye release study from these MCs under different conditions, such as through diffusion, centrifugation and mechanical stirring at various pH environments.Quantification of Nile red (NR) release:
For the dye release study, NR was dissolved in SFO at a weight fraction of 0.00275 wt%. The Pickering emulsions and various microcapsules (1st, 2nd and 3rd MCs) were prepared in a 50 mL centrifuge tube (Falcon). Then, 5 mL of pure sunflower oil (NR-free) was added carefully on the top of the PE and MCs (10 mL) suspension along the tube wall. These were then stored at room temperature, allowing for any NR to diffuse from the PE or MCs phase to the top oil layer. The absorbance of the upper oil layer was measured using a UV-Visible spectrophotometer (Agilent 8453) at 520 nm after 1 and 7 days. The NR released was calculated from the calibration curve, and the percentage of dye release with respect to its initial concentration reported.
Dye release studies were also conducted under different applied force fields, namely centrifugation and mechanical stirring at room temperature. In the case of centrifugation, the above-mentioned PE and MCs (10 mL of sample + 5 mL of dye-free fresh oil) were centrifuged at 8000 rpm for 10 min and then allowed to diffuse for 1 and 7 days before taking the absorbance of the upper oil layer at 520 nm. For mechanical stirring studies, the samples were stirred at 2000 rpm for 10 min using an overhead stirrer (propeller dimension 14.5 mm x 12 mm and Falcon tube internal diameter ~27 mm) and then allowed to diffuse for 1 and 7 days. To separate the oil layer from the blend, a short centrifugation (8000 rpm for 2 min) was done after 1 and 7 days just before the absorbance measurement.
In addition, a dye release study on the most stable MCs (3rd MCs) was done in different pH environments (4.0, 5.0, 6.5 and 8.5). The pH of the as-prepared MCs was ~6.5 (without any adjustment); therefore, the lower and higher pH values were obtained using HCl (0.1 M) and NaOH (0.1 M) solution, respectively.
All dye release experiments were repeated in triplicate and error bars report the standard deviation for each data point.
Surface charge:
The ζ-potential of the OCNF (0.05 wt%), CCNF(0.05 wt%), PE and MCs suspensions was measured using a Zetasizer (Malvern Zetasizer Nano ZSP®, UK). PE/MC samples (100 µL) were diluted using DI water (900 µL) before the measurement. The samples (~850 µL) were injected in the folded capillary electrode cell and equilibrated at 25 oC for 120 s before measuring as an average of 5 from 100 scans each. The ζ-potential was calculated using Henry's law utilizing the Smoluchowski model loaded in the Zetasizer software (Malvern).
Microcapsule diameter:
The diameter of microcapsules was measured from the optical micrograph images using ImageJ software
Dataset for "Going active: How do people envision the next generation of buildings?''
No full textThe recently launched Active Building Code (ABCode) offers guidance on minimising the environmental impact of the next generation of buildings termed Active Buildings (ABs). This dataset reflects our two-stage investigation into the stakeholder perceptions of ABs and, in particular, their statistical analysis using a logistic regression model in R.This dataset reflects our two-stage investigation into the stakeholder perceptions of Active Buildings. In the first stage, we collected thoughts on the future of the built environment through a series of online focus group discussions with 30 industry experts. In the second stage, we quantified the ideas that arose from the first stage through an online survey of 30 academics and researchers.Additional information can be found in the associated paper "Going active: How do people envision the next generation of buildings?'', included in the CLIMA 2022 Conference Proceedings
Data on the securitization of ideologies in US presidential speech
Get PDFThis dataset is created for the analysis of the origin of securitization of ideologies in US political discourse. There are two Stata 17 documents, one focusing on word frequencies (WordFrequencies.dta) of all clauses in US Presidential Papers (Public Papers of the Presidents of the United States 1989-2014 (Washington D.C.: US Government Printing Office)) and the other focusing on NVivo-based coding of sentences (Coding results.dta) with the word "ideology" in any of its forms from January 2003 until the end of 2005. These are coded with NVivo 12 textual analysis package, with open access to the coding of the text in file “securitization of knowledge.qsr”Data is collected by coding US presidential papers in accordance to the coding rules explicated in the codebook by using NVivo 12 software package. It was then stored in a numerical form into Stata 17 format.The data was produced in textual analysis by following grammatical and textual analysis rules defined by the codebook and justified by the article that this data is primarily produced for.The coding was done using NVivo 12 software package. It was then stored in a numerical form into Stata 17 format.The codebook reveals how text was coded and quantified
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