1056 research outputs found
Sort by
Premises of Support and Opposition to NATO Enlargement: A Dataset
Get PDFIn this NVivo 12 textual analysis package files and Stata 17 datasets, the focus is on the arguments presented by 40 leading analysts of European security in their arguments for their view on whether NATO enlargement was a mistake. The selection of the experts was done by the Foreign Affairs journal that published an opinion survey of 62 experts of which 40 published their arguments in addition to their opinions in this survey publication of Foreign Affairs (Foreign Affairs Survey 2022). These arguments by 40 of the 62 surveyed experts is the textual material of this dataset. The textual data was coded to reveal premises of these experts. The coding was based on distinctions that the creator of this dataset created on the basis of literature reviewed in his article “Theoretical Premises of Support of and Opposition to NATO Enlargement.”The data was compiled by using NVivo 12 textual analysis package to code texts and measure levels of various theoretical premises. The quantitative results of the textual analysis were then statistically analysed by using Stata 17 program package.NVivo 12 textual analysis package and Stata 17 statistical analysis package
Dataset for "Are there sex differences in the variability of fasting metabolism?"
No full textThis dataset contains data for 208 participants who participated in one of seven crossover studies. Data are basal (overnight fasted and rested) metabolite (glucose, lactate, non-esterified fatty acid, triacylglycerol) and insulin concentrations, resting metabolic rate and body mass.The methodology can be found in the associated publication
Data sets for "Pressure dependent structure of amorphous magnesium aluminosilicates: The effect of replacing magnesia by alumina at the enstatite composition"
No full textData sets used to prepare Figures 1 and 3-18 in the Journal of Chemical Physics article entitled "Pressure dependent structure of amorphous magnesium aluminosilicates: The effect of replacing magnesia by alumina at the enstatite composition." The data sets describe the effect on the structure of glassy (MgO)_{0.375}(Al_2O_3)_{0.125}(SiO_2)_{0.5} of increasing the pressure from ambient to 8.2 GPa. They also describe the effect on the structure of releasing the pressure from 8.2 GPa and recovering the glass to ambient conditions. The structure was measured using in situ high pressure neutron diffraction. The coordination environment of aluminium in the as-prepared and recovered material was also probed using solid state 27Al nuclear magnetic resonance spectroscopy.The data sets were collected using the methods described in the published paper.The data sets were analysed 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
Surveys responses for "Use of Environmental Product Declarations in Industry" questionnaire
Get PDFThis Excel workbook contains the anonymised survey responses for the "Use of Environmental Product Declarations in Industry" questionnaire, conducted as part of the UNCARB project. The survey explored industry perspectives on the use and quality of environmental production declarations in building design projects.A Microsoft Form was created to gather the survey responses and included multiple choice, single choice and open comment style questions.
A PDF printout of the questions has also been provided.The survey was hosted online using Microsoft forms
Dataset for "Reimagining the shape of porous tubular ceramics using 3D printing"
No full textThe paper associated with this dataset, "Reimagining the shape of porous tubular ceramics using 3D printing", describes the simulation, design and 3D printing of porous ceramic tubes in sinusoidal and twisted shapes. The designs were based on Computational Fluid Dynamics (CFD) simulations and were fabricated using 3D printing and a thermal post-treatment step. The dataset contains: a) the results of Computational Fluid Dynamics (CFD) simulations for tubes with different design parameters, b) the raw data of rheological characterisation of the 3D printing resin and thermogravimetric analysis (TGA) of the 3D printed structures, c) the raw data of material characterisation and mechanical testing of the sintered ceramic tubes, including X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), mercury intrusion porosimetry, and compression testing.All experimental details including procedures and conditions are fully described in the associated paper.The CFD model was developed using the software COMSOL Multiphysics 6.1 and is also fully described in the associated paper
Dataset of measurements at an instrumented embankment on an outcrop of the Charmouth Mudstone Formation (Lias Group) in central England
No full textDataset of measurements at an instrumented embankment on an outcrop of the Charmouth Mudstone Formation (Lias Group) in central England. These measurements show ground deformations due to surface loading during the construction of an 8.2m high embankment in November and December 2020.
This dataset includes (i) downhole geophysical measurements of S-wave and P-wave velocity with depth at four locations, (ii) Extensometer measurements at two locations beneath the embankment (iii) Pressure cell measurements at two locations beneath the embankment. The measurement period ranges from the start to the end of construction of trial embankment in 2020.These measurements were collected as part of a commercial ground investigation and embankment trial for the construction of the HS2 high-speed railway.
The downhole geophysical measurements of P-wave and S-wave velocity were undertaken by a commercial contractor and extend to approximately 70 mbgl. The pressure cells and extensometers were installed by a specialist instrumentation contractor in advance of the construction of the embankment. They were logged at hourly intervals during construction of an 8.2m high embankment from November 2020 to December 2020. The data were used to produce Figures in the accompanying Journal paper. Please see the 'notes' files, which describe the Figures that each dataset relates to.The raw data were interpreted by the author
Dataset for Radiofrequency Induction Heating for Green Chemicals Manufacture: A Systematic Model of Energy Losses and a Scale-Up Case-Study
No full textThe dataset includes all data for the results presented graphically as figures in the academic publication which is available open access courtesy of ACS Engineering AU. This includes data illustrating the impact of the various loss terms upon objective functions such as field strength, losses and overall effectiveness of RF induction heating both in general in section one and then specifically as applied to the ethanol dehydration reaction.The methodology is described thoroughly in the article. Broadly it covers the development and demonstration and application of a new mathematical model for RF induction heating as applied to the chemicals industry
Engage with Developmental Language Disorder Accessible Databases, October 2024 release
No full textThese datasets contain information gathered at study sign up and within the yearly surveys for parent members of the Engage with Developmental Language Disorder Project (or E-DLD project). Parents signed up to the E-DLD project as they decided to be part of the research database project, where they received monthly or quarterly emails about research projects currently recruiting participants. On sign up, they gave demographic information about themselves, their family and their child with DLD along with indicating what areas of language their child struggles with, any co-occurring conditions and their child's official DLD diagnosis. About two weeks after sign up, they received an invitation to complete a yearly survey. The yearly survey content changes according to the child's age, which is determined at the beginning of the yearly survey. Completion of the yearly survey was optional. In total, these databases contain 198 parents within the sign up database and 137 parents who completed at least one year (but often multiple years) of the yearly survey. Children were aged between 3 and 15. Data was collected between October 2020 and April 2024.All data was collected online through the REDCap online survey platform. E-DLD members have found out about the project a variety of ways, but found the sign up link through our website in most instances. Parents indicated their status as a parent of a child with DLD in an initial question and then were presented with an information sheet and consent forms (including consent for their data to be made more widely accessible). After fully consenting, parents were asked to fill in the sign up survey. Parents who indicated their child has autism as their main diagnosis were sign posted to autism research databases and are not included in these databases. Two weeks after sign up (and thereafter on a yearly basis) parents were invited to complete a more in depth yearly survey, which is tailored to the child's specific age. The yearly survey was optional and the parents received two reminders after the initial email. Thereafter, they did not receive further reminders. Parents were occasionally emailed about incomplete sign up surveys and provided with a link and return code to complete their survey. This was also optional.The data processing was conducted by Michelle St Clair with assistance from research assistants assigned to the project.The dataset consists of Stata files (.dta), with a version provided in SPSS (.sav) format.Some data has been extensively recoded to produce more meaningful data that can be easily analysed (e.g., bedtimes were coded into half hour slots rather than retaining the free text responses, which varied substantially across participants). Qualitative content was retained where ever possible, but has also been anonymised to prevent disclosing parent or child identities
Dataset for "Smartphone scanning is a reliable and accurate alternative to contemporary residual limb measurement techniques"
Get PDFThis dataset is composed of four files, each detailing measurements taken with a range of 3D scanning applications of ten residual limbs. These measurements include the perimeter, area, and volume of limbs in addition to their RMSE (Root Mean Squared Error) compared to a baseline criterion scan. All of these measurements were performed in Artec Studio 12, by splitting residuum scans into ten evenly-space sections along the relevant portion of the limb. Two types of measurement are collected; Naive, in which the scans are scaled solely using the reference object captured in the scan data, and Optimal, in which the scans are scaled relative to the captured criterion scans. The latter considers a best-case scenario that isolates the efficacy of the geometry captured, minimising the impact of human-error when scaling the scan data.
Compiled Environment Data - Scan data from 4 different applications and the criterion gathered from a transtibial plaster cast model, containing measurements of section data pertaining to perimeter, cross-sectional area and volume, across several different environments with disparate lighting conditions. These are split into Naive (N) and Optimal (O) datasets. Each application is listed under 'Scan Name', with their repeated scans labeled 1-3. 'PolycamPG' and 'LumaPG' relate to the web versions of each application discussed.
Compiled Participant Data - Scan data across 10 different residual limbs for each application, against the criterion scanner. This file contains all section data pertaining to the perimeter, cross-sectional area, and volume for each participant in the study. These are split into Naive (N) and Optimal (O) datasets. Each application is listed under 'Scan Name', with their repeated scans labeled 1-3. 'PolycamPG' and 'LumaPG' relate to the web versions of each application discussed.
Reliability and Validity Data- A compilation of the Participant Validity and Reliability Data included in the previous dataset, condensed into a dedicated file for the readers convenience.
RMSE Data- A collection of all RMSE (Root Mean Squared Error) data collected from participant scans. All scans were compared against a baseline Artec scan, and relevant values were collected and stored in this data sheet. Comparisons were made between the tops and bottoms (anterior and posterior) sides of the residual limbs.Ten residual limbs across seven participants were scanned using a criterion Artec EVA scanner, and an Apple iPhone 12 using a range of scanning applications. These scanning applications were Polycam, Luma, and Meshroom. Both Polycam and Luma also had web-based equivalents, for which a separate set of photos were created to be uploaded to their servers following scanning. Each scan was conducted three times so the repeatability of each scanning application could be evaluated. Each participant was scanned at least ten minutes following the doffing of their prosthesis, to allow swelling to plateau prior to commencement of scanning. A set of fiducial markers were stuck to the residual limb to aid tracking and alignment, as well as a reference object to aid in correct scaling of the limb. The scans were conducted in random order, and the participant was asked to remain as motionless as possible whilst each scan took place. On average, scans took 2-4 minutes each, and a total of 18 scans per participant across repetitions and applications were conducted. Between 80-150 frames were captured for each of the smartphone scans, the range of which was proven to have a negligible impact on the outcomes of the scans.Collected scans were post-processed in Blender (v 3.3.1), to remove irrelevant data such as the participants torso, to remove miscellaneous/broken geometry, and scale meshes. Two distinct scaling methods were used, splitting the dataset into two halves. These were the Naive set, in which the meshes were scaled according solely to the reference geometry captured in the scan, and the Optimal set, in which the meshes were scaled according to the Artec criterion scans, resulting in a more accurate scaling operation. Once complete, the scans were compiled and aligned in Artec Studio 12, and split into ten sections along their lengths. The data collected from these sections included perimeter, cross-sectional area, and total volume. A separate measurement operation was performed to gather RMSE data, for which a search distance of 15 mm was used.To capture the mobile phone scans, Polycam, Luma and Meshroom were used. Polycam (3.2.15) and Luma (0.9.9) have both mobile application and web versions, so both were used to evaluate any potential differences, whereas Meshroom (2023.3.0) was solely a desktop application. The desktop application Blender (3.3.1) was used to post-process all of the scans.All data has been sorted into Excel spreadsheets, with each sheet detailing the repeated scans for a single limb, for each section along the length of the limb. Each limb has two sheets, which are the naive (N) and optiomal (O) datasets
Dataset for Multi-core anti-resonant hollow core optical fibre
No full textThe data in this repository contains the characterisation of fibres presented in the publication 'Multi-core anti-resonant hollow core optical fibre'. This includes microscope images of the fibres and the raw data files for the transmission, cutback and coupling measurements presented. These were taken to quantify the optical performance of the fibres, specifically the loss and inter-core coupling of light. Also included is the Matlab code used to process the data into the figure for the paper.For the transmission measurements, a single mode fibre (SMF-28) was used to couple into a single core, with collection from the single core ensured by using a large multi-mode fibre which matches the core size (AFS50/125Y). The data is given in columns of wavelength (in nm) and signal (in dBm, not calibrated). For each length, multiple cleaves were taken with the average used to calculate the transmitted signal.
For the cutback, a similar method is used, but now the length is changed and the process is repeated. With the fibre loss being proportional to the length change.
For the coupling experiment, the near field of the fibre was imaged using a DMK 23U445 monochrome camera with different exposures. The IC Capture camera utility software was used to control the exposure of the camera to generate the two images.An Energetiq EQ-99X laser-driven white light source and ANDO Optical Spectrum Analyser were used, with SMF28-e and AFS50/125Y fibres used for coupling.
A DMK 23U445 monochrome camera was used for the near field images. The scripts were run using MATLAB. Images are in TIFF and PNG formats
Access Repository Dashboard
Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇