1056 research outputs found
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Quantifying the Importance of Socio-Demographic, Travel-Related, and Psychological Predictors of Public Acceptability of Low Emission Zones
No full textThis project aimed to understand the public acceptability of a Low Emission Zone in the city of Bath, UK (formally known as the 'Clean Air Zone'). The dataset consists of socio-demographic, travel-related, and psychological variables, and a measure of Low Emission Zone acceptability
Dataset for "Speaking Flames – A study of threshold experiences inherent in fire-cræft and the affordances of kindling metaphors for the principles they provide for progressive pedagogy" Ed.D. thesis
No full textThe dataset includes a short video (called 'Fire Lighters short'), a slide sequence (called 'Firelighting Slide Sequence'), and unedited video clips of various stages of a facilitated kindling session. These files serve as documentation/supportive material for an Ed.D. thesis which addresses questions and themes in contemporary educational philosophy. The video footage was taken during a facilitated workshop in friction fire-lighting using traditional fire-lighting tools. The workshop was facilitated in the context of a professional development programme for teachers and it documents the situted, collaborative and contextual activity which sits at the core of this Ed.D research into educational philosophy, purpose, and praxis.Video documentation, participant observation, phenomenology
Dataset for "Soft Tactile Sensor with Multimodal Data Processing for Texture Recognition"
No full textThe dataset is composed of 5 folders that contain tactile data from 5 different textures. Each folder has 15 files: 5 text files with data collected from piezovibration sensing modality, 5 text files with data collected from velostat (piezoresistive) sensing modality, 5 files with data from IMU (accelerometer, gyroscope) and pressure data. This dataset was collected to investigate the potential of the proposed multimodal soft tactile sensor to read data using multiple different sensing elements and their combination for texture recognition.The methodology can be found in the associated paper
Interview transcripts for "The use of technology to address loneliness and social isolation among older adults: the role of social care providers"
Get PDFThese data are the transcripts of 19 interviews with social care providers in Wales. The focus of the interviews was on their use of technology to communicate with older people during the COVID-19 pandemic with particular regard to the potential role of technology in mitigating loneliness and enhancing social connection.Adult social care commissioners and providers in Wales known to be commissioning or delivering community-based services to older adults (aged 65 years and over) were invited to take part in the study. Recruitment was supported by the Wales Centre for Public Policy who commissioned this research. We do not know who received invitations and so cannot calculate a response rate. Invitations stated that the research team were interested in understanding if and how technology was being used to build social connections and tackle loneliness and social isolation among older adults. Interviews were semi-structured and covered: the nature of organisations’ focus on loneliness and social isolation; the role of technology to address this in the pandemic; who the technology worked best for, how and why; positive and negative impacts of using technology to address loneliness and social isolation; and future plans for technology use as pandemic restrictions were lifted. Some interviewees had previously taken part in a related survey. Here researchers conducting the interviews could access and refer to the interviewees’ survey responses to prompt further discussion. The interview schedule was developed by the research team with input from an experts-by-experience group of older adults and the project steering group (consisting of colleagues in the WCPP and Welsh Government)
Data set for Optimisation and Experimental Validation of Near-Isotropic 3D Ordered Star Cell Auxetic Structures
No full textThis data set is a compilation of the information needed to re-create the findings in the study "Optimisation and Experimental Validation of Near-Isotropic 3D Ordered Star Cell Auxetic Structures". The file contains images and Ncorr files for the image analysis of the physical tests and Ansys and data files to run the FEA models for as tested cells, isotropy analysis and the optimisation and setup of the individual cells. The four parts of the data set are:
1) the images and n_corr session data used to assess the Poisson's ratio of the samples with image analysis;
2) the Finite Element models used during the optimisation of the base cells in various stages, with infinite simulation boundary conditions and the output values;
3) the flat angle form of the Finite Element models to allow re-creation of the isotropy tests for each lattice;
4) the as-tested FEA models to allow re-creation of the validation simulations for the physical testing process.The four sections of the data have separate methodology:
- The as-tested FEA are 3D models close to the physical test samples loaded with fixed boundary conditions to emulate the way the cells were loaded during testing and allow direct comparison.
- The isotropy study is a global level cell model for each type of lattice, with a variable loading and boundary vector.
- The optimisation study has the infinite grid simulation boundary conditions and includes the optimisation methods. Also included are the cell models based on literature which were not optimised in this study but were studied in comparison. The numerical methods and data that it produced are also included.
- The images and Ncorr files used to assess them are also included to replicate physical testing.
More details can be found in the paper itself.The files require Matlab R2020b with Ncorr (https://ncorr.com/) and Ansys Workbench 2021R2
Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review
No full textThis database contains all the bibliographic information about the 8673 records found after applying the Search Strategy used for the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review. Such strategy consisted on using seven initial keywords and similar terms of interest (namely: bridge and bridges, etc.):
- Bridge.
- Digital twin.
- Bridge information modelling.
- Finite elements.
- Bridge health monitoring.
- Anomaly detection algorithm.
- Cultural heritage.
Six initial queries were done combining the first keyword with the rest of them:
- bridge* AND "digital twin*"
- bridge* AND (BrIM OR "bridge information model*")
- bridge* AND (FEM OR FEA OR "finite element method*" OR "finite element analy*")
- bridge* AND ("bridge health monitoring" OR "structural health monitoring")
- bridge* AND (ADA OR "anomaly detection algorithm*")
- bridge* AND ("cultural heritage" OR "monument* bridge*" OR "old bridge*" OR "ancient bridge*" OR "historic* bridge*")
As a first screening step, the combination of these 6 initial searches was done to obtain relevant works containing at least three of the main keywords of interest: #1 AND #2; #1 AND #3; #1 AND #4; #1 AND #5; #1 AND #6; #2 AND #3; #2 AND #4; #2 AND #5; #2 AND #6; #3 AND #4; #3 AND #5; #3 AND #6; #4 AND #5; #4 AND #6; #5 AND #6.
All records found in Scopus where downloaded both in .ris and .csv format and are included in this database. The search was conducted on 10/12/2022. Note: Searches 10, 14, 17 and 21 did not return any records
Data sets for "Mapping the structural trends in zinc aluminosilicate glasses"
No full textData sets used to prepare Figures 2-24 and S1-S8 in the Journal of Chemical Physics article entitled "Mapping the structural trends in zinc aluminosilicate glasses." The data sets refer to the measured and modelled structure of zinc aluminosilicate glasses over a wide range of material compositions. The experimental work employed neutron diffraction, high energy x-ray diffraction and 27Al magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectroscopy. The results show that the coordination environment of zinc is not invariant as previously supposed but changes in a systematic way with the aluminosilicate glass composition. Zinc is an important additive in many commercial and bioactive glasses.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
Dataset for "Machine learning reaction barriers in low data regimes: a horizontal and diagonal transfer learning approach"
No full textMachine learning (ML) has previously been used to predict density functional theory (DFT) free energy reaction barriers on a variety of different reactions from semi-empirical quantum mechanical (SQM) inputs. These models can require expensive dataset curation and can struggle with generalisability outside of the datasets immediate chemical space. One such approach that can drastically lower the number of required training points is transfer learning (TL). We demonstrate that various TL techniques can be used to provide highly accurate results with a fraction of the training points required for standard ML, thus lowering the overall computational cost of barrier predictions. This dataset includes all the structural data in the form of Gaussian16 (Revision A.03 and C.01) output files for the Diels-Alder and [3+2] cycloaddition reactions used for this ML/TL analysis. This data archive also includes exemplar code for performing some standard ML from the manuscript.Ground state reactant and transition state geometries for Diels-Alder reactions were built using Schrödinger’s R-Group Enumeration. R-groups were placed on various different positions of both dienes and dienophiles; the position depended upon the molecules in question. All structures were built in Gaussian16 (Revisions A.03 and C.01) and were conformationally searched using Schrödinger’s MacroModel (version 12.7). All structures were subsequently optimised using Gaussian16 (Revisions A.03 and C.01) using three different molecular modelling methods (AM1, PM3, and wB97X-D/def2-TZVP). A subset of the reactions were also optimised with DSD-PBEP86-D3(BJ)/def2-TZVP.
The same process was used for the [3+2] reactions however, these reactions were only optimised at the AM1 and wB97X-D/def2-TZVP levels of theory
Dataset for "The Search for Spontaneous Edge Currents in Sr2RuO4 Mesa Structures with Controlled Geometrical Shapes"
No full textDatasets underpinning the 9 Figures for "The Search for Spontaneous Edge Currents in Sr2RuO4 Mesa Structures with Controlled Geometrical Shapes" in Scientific Reports. The primary data files are scanning Hall microscopy (SHM) images of pancake vortices captured at temperatures in the range 0.3-1.6K. Also included are magnetic susceptibility data for the measured samples, 1D linescans across individual images and maps of rms field roughness in images as a function of cooling field. Simulation results for the expected edge fields and a model fit to the vortex profile at the base temperature of the microscope are also included.The primary datasets are scanning Hall microscopy (SHM) images. These have been captured with a modified low-temperature scanning tunnelling microscope (STM) where the tunnelling tip has been replaced by a custom-fabricated semiconductor chip. The Hall probe is patterned in the two-dimensional electron gas of a GaAs/AlGaAs heterostructure, defined by the intersection of two 800 nm wide wires situated about 5 micrometres from the Au-coated corner of a deep mesa etch that acts as an integrated STM tip. The Hall probe is mounted at an angle of about 1 degree with respect to the sample plane, with the STM tip being the closest point to the sample surface. In operation the sample is first approached towards the sensor until tunnelling is established and then retracted about 100 nm for rapid ‘flying mode’ scanning with the active Hall probe about 200 nm above the sample and a spatial resolution of about 800 nm. In this way quantitative maps of the z-component of magnetic induction can be captured non-invasively. Images shown in this manuscript have been captured in the range T= 0.3-1.6 K when the full scan range of our piezotube is approximately 14 µm × 14 µm.With the exception of images shown in Figure 4 the SHM data in the archive are raw as-captured data without any post-processing.Data captured using bespoke Nanomagnetics Instruments imaging software.The SHM image datasets are formatted as the magnetic induction in Gauss measured at each point on a 128 × 128 array of pixel positions (corresponding to the spatial location of the Hall sensor in the plane parallel to the sample). At a measurement temperature in the range T= 0.3-1.6 K this corresponds to a scan range of approximately14 µm × 14 µm
Dataset for "Closing the loop in open-source microscopy: Automated focus, scanning, image tiling and resolution calibration on the OpenFlexure Microscope"
No full textData for the thesis "Closing the loop in open-source microscopy: Automated focus, scanning, image tiling and resolution calibration on the OpenFlexure Microscope". The dataset consists of two image collections:
- a collection of sets of images for tiling and stitching together, used to test the effectiveness of a Python tiling program;
- a collection of aligned edge images used to assess the resolution of a microscope.The images were all collected automatically on the OpenFlexure Microscope, as described in the respective chapters of the linked thesis, using the included tiling and stitching code and the Bath Open Instrumentation Group's Micat resolution code.Please see the Micat documentation for its technical requirements. The included code requires Python 3.8+ and the packages listed in `requirements.txt`.The tiling and stitching code included here corresponds to commit bd1e0797 in the Git repository. The auto_mtf code corresponds to commit 73c62c44. The code for the usafcal extension to Micat corresponds to commit 4b7aeed3
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