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Dataset for "Breakdown of the critical state in the ferromagnetic superconductor EuFe2(As1-xPx)2"
No full textDatasets underpinning five of the six Figures and four Supplementary Figures in "Breakdown of the critical state in the ferromagnetic superconductor EuFe2(As1-xPx)2" in Superconductor Science and Technology.
The primary data (e.g. as in Figure 2) are low temperature Hall magnetometry measurements made at the University of Bath. The manuscript describes in detail how these measurements are made. There is further, secondary data (e.g. penetration field Hp) that are derived from analysis of these primary measurements.The dataset contains Hall sensor magnetometry data from measurements made on single crystals of the ferromagnetic iron-based superconductor EuFe2(As1-xPx)2. The first sample (#1) has Tc~24 K, x~0.21. The second sample (#2) has Tc~12 K, x~0.28.
The magnetometry measurements were performed at the University of Bath using a home-built system. The measurements are made at temperatures ranging from ~30 K to ~5 K, and in magnetic fields up to +/- 17 mT.
Further data were derived from analysis of the primary measurements, such as the penetration field (Hp) or the analysis of characteristic fluctuations in the measurements.All data are in the form of .csv (comma separated values) with headers and units indicated. No specialist software is required to view the data.The data are organised according to the figure in which they appear, as well any other pertinent factor e.g. temperature or sensor
Dataset for the dynamic and static loading of fibrous plaster ceilings, featuring in-situ monitoring, large and small scale samples
No full textThe dataset contains the predominantly excel spreadsheets for the dynamic and static loading of fibrous plaster ceilings. The dataset cover the in-situ monitoring of accelerations in a historic partner theatre, termed Theatre 'A' and the monitoring of accelerations, displacement and strain of laboratory large scale fibrous plaster ceiling panels, small scale sample tests include flexural, compressive and tensile tests. Tensile tests featured newly manufactured and historic material, with the newly manufactured specimens featuring both traditional materials and modern alternative repair material options. Tensile tests on wads were conducted at both the Diamond Light Source and in the structures laboratory. The compressive tests feature historic material.Flexural tests: 160 mm x 40 mm x 6 mm thick samples. Based upon international standards BS EN 12390‑5:2019 section 7.2, specimens were subjected to a three-point bending test with a 50 kN load cell in an Instron 3366 Universal testing machine, which applied a displacement-controlled point load central to the specimen at a rate of 0.2 mm/minute.
Compression tests: 40 mm x 40 mm samples. Loading was applied to the platens at the rate of 0.5 mm/minute until specimen failure in line with international standards BS EN 1015-11:1999. The Instron 3366 Universal testing machine was used.
Tensile Wads tests: 2704-522 hydraulic grips were used to hold the wad specimens in place, such that the gauge volume was 75 mm above the lower grip. In-situ tensile loading, CT and XRD were performed at I12-JEEP in the external building experimental hutch 2 (EH2). Each specimen was loaded using a maximum 10 kN load cell uniaxial servo-hydraulic test rig on the Large Sample Table. X-Ray Computed Tomography (CT) was performed at initial 0 mm displacement (with a small preload of 0.04 kN applied to ensure the newly-loaded sample was ready to test), as well as at further distinct load increments in the elastic, plastic, and post-fracture regimes controlled by displacement at 0.5 mm, 1 mm, 2 mm, 4mm and 8 mm. Loading was applied at a rate of 1 mm / min to help reduce strain rate effects, and the sample was held stationary at each displacement value while CT data collection took place. There were five stacked CT scans per displacement level, with scans moving from the base of the ROI rising at 15 mm increments (y = 111 mm – base of the region of interest (ROI), 96 mm, 81 mm, 66 mm and 51 mm) and covering the entire ROI. A script was written by the beamline scientist to reduce the CT data down to 8-bit for further analysis at the University of Bath using Avizo software, with the resulting 8-bit files being 2560 x 2560 x 1188 voxels and the little Indian and x-fastest default settings used.Microsoft excel.
Instron 3366 Universal testing machine.The data is accessible in Microsoft Excel
Data sets for "Titanium phosphate glasses: Beyond tetrahedral network structures"
No full textData sets used to prepare Figures 5, 7-11, 13 and S4-S7 in the Journal of Chemical Physics article entitled "Titanium phosphate glasses: Beyond tetrahedral network structures." The data sets describe the structure of glasses in the TiO2-P2O5 system as (i) measured using neutron and high-energy x-ray diffraction, Raman scattering and 31P solid-state nuclear magnetic resonance spectroscopy and (ii) simulated using ab initio molecular dynamics (AIMD). They also give the predictions of an analytical model for the glass structure and a comparison of these predictions with the results obtained from the diffraction and AIMD results.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 a 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
Data sets for "Structure of alkali magnesium, zinc, and calcium metasilicate glasses"
No full textData sets used to prepare Figures 5-14 in the Journal of Chemical Physics article entitled "Structure of alkali magnesium, zinc, and calcium metasilicate glasses." The data sets describe the structure of the metasilicate composition glasses (A2O)_x(XO)_{0.50-x}(SiO2)_{0.50}, with A = Na or K, X = Mg, Zn or Ca, and x = 0.25 or 0.33, as measured using neutron and high-energy x-ray diffraction and 25Mg solid-state 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 a 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
Figures for publication 'Six-component electromagnetic wave measurements of sprite-associated lightning'
No full textThis data is to illustrate the theory, data analysis, and exemplary results of the data described in the corresponding publication entitled 'Six-component electromagnetic wave measurements of sprite-associated lightning'.
Low frequency electromagnetic waves emitted by sprite-producing lightning are normally measured using vertical electric fields or horizontal magnetic fields. Here we report for the first time the simultaneous measurement of electromagnetic waves from sprite-producing lightning in all six electromagnetic field components Ex, Ey, Ez, Hx, Hy, and Hz. A rigorous assessment of the horizontal electric field measurements with dipole antennas in two independent calibration experiments shows that a timing uncertainty of ∼ 1−2 ns can be achieved, well above the current fundamental limit of the timing accuracy ∼1-5 ps. The coupling between the electric and magnetic fields is quantified using a transfer matrix, allowing the magnetic field to be reconstructed accurately from electric field measurements. The cross product of electric and magnetic fields is used to calculate peak energy fluxes and arrival azimuths from sprite-producing lightning. It is found that peak energy fluxes vary between ∼10-1000 µW/m 2 and that the differences between the measured and expected arrival azimuths are practically normally distributed with a mean and standard deviation of -7.0 deg ± 2.4 deg. It is concluded that horizontal electric field measurements are well suited to characterise electromagnetic waves with added benefits, including the ease of deployment in harsh environments, cost-effectiveness and scalability, e.g. for polarisation measurements in large low frequency arrays. The significance of this study is that it can be used as a pathfinder mission to identify critical technical requirements for the array deployment during the Africa2Moon lander mission.This data lives in the context of the corresponding publication entitled 'Six-component electromagnetic wave measurements of sprite-associated lightning'. Any use of the data outside this specific context is considered to be unethical.
The data is described in three different forms that build on each other in a logical and hierarchical order.
(1) High level description: All the data is described in textual form in the corresponding publication in extensive detail.
(2) Low level description: The actual values of the data and their units which are used in the publication are embedded in the corresponding standard Matlab .fig files, one for each Figure.The Matlab programming language is explained on the website https://uk.mathworks.com/help/matlab/getting-started-with-matlab.html?s_cid=learn_doc
Dataset for "Characterising a novel adult erythroid cell line for red blood cell manufacture"
No full textThis dataset contains information from a study characterising the Bristol Erythroid Line-A (BEL-A) cell line for mass production, including growth and metabolic kinetics of BEL-A cells, effect of doxycycline, impact of (and tolerance to) lactate and ammonia, and impact of high density culture. Data is provided in an Excel file with individual tabs containing the dataset for each experiment, and comprises live and dead cell numbers, nutrient/metabolite concentrations, and pH measurements.For details of the data acquisition experiments, refer to the "Materials and Methods" section in the associated paper.Microsoft Excel software was used to create the data file
Dataset for "Analysing longitudinal wearable physical activity data using Non-stationary Time Series models"
Full text linkThis dataset contains secondary data from the Multidimensional Individualised Physical Activity (MIPACT) randomized controlled trial used for analysis in “Analysing longitudinal wearable physical activity data using Non-stationary Time Series models”. Physical activity data over the 12-week intervention for 80 participants (28 women) aged between 43 and 70 years old is presented in this dataset at hourly resolution.Full details of the methodology for collecting the minute resolution data are provided in the published study protocol. The raw data was aggregated to obtain the number of minutes spent in sedentary time per hour ("Sedentary"). This aggregated data is presented in the current dataset.The raw data was processed using the statistical software R (version 4.3.0). The resulting dataset is saved in CSV format and can be opened with any software that supports CSV files, including Microsoft Excel
SeaSwallowsTool
Full text linkThe Sea-Swallows Engineering Tool (SeaSwallowsTool) is a new engineering tool that delivers fast and accurate predictions of nonlinear wave loading on monopile-type offshore wind turbine foundations. It is developed by a consortium led by the Universities of Bath, Oxford, and Strathclyde, and is one of the outcomes of the EPSRC project, Severe Storm Wave Loads on Offshore Wind Turbine Foundations (Sea-Swallows).
The tool is available as a binary executable compiled for Windows, macOS or Linux-based 64-bit operating systems.System requirements are listed in README.txt
Data set for Curved Links as a Route to Auxetic Metamaterial Behaviour
No full textThis data set contains the measurements taken in the physical testing of all 19 Auxetic structures, alongside their complete FE results, the Ansys .dat Input files that generated them, a 3D model for each lattice and a second 3D model modified with feet to be printed as well as the all model support structure geometry (All Autodesk Inventor parts).The Finite Element data is the input and output measurements computed on an Ansys workbench file, computed in the Ansys mechanical solver through the APDL language. The outputs are specific node tracking measurements from this solver.
The Physical testing data is interpreted through the filming of tracking points on the surfaces of physical test parts, which were stretched and compressed on an Instron test rig as described in the paper. The script used to analyse the film was written in matlab and is included.
The 3D models were all custom made on Autodesk Inventor, according to the mathematics described in the paper.No 3rd party data sets were used.The matlab script was created and run using Matlab r2023b
3D models were created on Autodesk Inventor Professional 2024
Finite Element models can be run on Ansys APDL or Ansys Workbench 2024 R2All data in the file has been split into clearly named files, with the exception of the FE results. These have all been stored in an excel file in the main directory, with the tabs of the sheet identifying which model they relate to. Further, the matlab script used to analyse the videos is in the main file alongside this
Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"
No full textThe dataset contains a single directory which includes the following files, supporting the associated publication "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach":
- Clust_multispeed_ptlabels.csv contains the cluster labels for each participant in the dataset derived from a previous associated publication: Rivadulla et al. (2024) "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy".
- MasterDataSheet.xlsx contains demographics, anthropometrics and physiological information from each of the participants. Participants have a unique identifier, preserving their anonymity.
- MasterDataSheet_column_naming.txt describes the column names and units in MasterDataSheet.xlsx
- Sess2_kinematics_data.npy contains a python dictionary storing the spatiotemporal (stride time and duty factor) and continuous kinematics variables (centre of mass vertical displacement for each participant and segment of the long run (start, mid, end). Participant codes, segment identifier and cluster labels are included in the misc key of the dictionary.
- Sess2_physio_data.npy contains a python dictionary storing the physiological variables collected for each participant during the long run.
Scripts to replicate the results of the study can be found in the associated "fatigue_runners" GitHub repository and they show how to access the data within these files.This dataset includes motion capture and indirect calorimetry data. Full details on the systems and procedures used can be found in the associated publication.The .npy files may be read with the NumPy Python library
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