Dataset for "Cold Housing in Central Mexico: Environmental Dissatisfaction and Underheating Lowers Self-Perceived Health in Central Mexico"

This dataset contains the data analyzed in the study "Cold housing in Mexican homes", which focuses on studying the internal environments of dwellings in Mexico (especially during the cold season), creating retrofitting solutions to raise internal temperatures. The data included are monitored for eleven months (March to February) with sensors, the results of health surveys applied during the fieldwork stage, and the dynamic simulations undertaken in the Design-Builder software.Data were collected using DS18B20 sensors temperature sensor (−10 to +85 ° C> ± 0.5 ° C) and the RHT03 humidity sensor (0 to 100%> ± 2% ) attached to a raspberry pi microcomputer. They were placed in the participating houses for eleven months. Health data was obtained through surveys applied during site visits. Finally, the simulated data was created through dynamic simulations in the Design builder software.DS18B20 sensors temperature sensor (−10 to +85 ° C> ± 0.5 ° C) and the RHT03 humidity sensor (0 to 100%> ± 2% ) attached to a raspberry pi microcomputer

Dataset for "Conductive polymer-coated 3D printed microneedles: biocompatible platforms for minimally invasive biosensing interfaces"

This dataset includes all the data presented and analyzed in the aforementioned paper, "Conductive polymer-coated 3D printed microneedles: biocompatible platforms for minimally invasive biosensing interfaces". These include: CAD designs, SEM and AFM micrographs, FTIR, Raman, and EDS spectra, water sessile drop images, DMA compression tests, ex vivo skin penetration bright-field microscopy images, cyclic voltammograms, four-point probe resistivity measurements, battery-LED system photographs, and cytotoxicity assay measurements.The methodology can be found in the associated paper.Equipment: 1. Formlabs form 3, FormWash and FormCure (FormLabs, USA); 2. Zepto Model 2 Diener Plasma Reactor (Diener Electronics, Germany); 3. iD7 attenuated total reflectance (ATR)-mode of a Nicolet™ iS5 FTIR spectrometer (Thermo Fisher Scientific, USA); 4. inVia™ confocal Raman microscope (Renishaw, UK); 5. Contact angle measurement system, OCA 25 (Data Physics, UK); 6. SU3900 scanning electron microscopy (SEM) instrument (Hitachi, Japan); 7. Jupiter XR (Oxford Instruments) atomic force microscope (AFM) was used in blueDrive™ Tapping Mode with AC160TS-R3 tips; 8. 10X-200X USB digital microscope with a 0.3-megapixel resolution (United Scope, Netherlands); 9. Jandel RM3000 (Jandel Engineering, UK); 10. µAutolab type II potentiostat/galvanostat (Metrohm, Switzerland); 11. Mettler Toledo DMA1 (Mettler Toledo, USA) dynamic mechanical analyser (DMA); 12. BMG FLUOstar Omega (BMG Labtech, UK) plate reader. Software: 1. Excel and PowerPoint (v. 2016, Microsoft, USA); 2. Origin (v. 2022b, Electronic Arts); 3. Fiji-ImageJ, contact angle add-on, v.1.52 (National Institutes of Health, USA) 4. Spectragryph (v. 1.2, effemm2.de); 5. Nova (v. 2.1, Metrohm, Switzerland); 6. AZtec software package (Oxford Instruments, UK); 7. AutoCAD (Autodesk, USA); 8. Prism (v.9, GraphPad Software, USA)

Dataset for "Dynamic Lone Pairs and Fluoride-Ion Disorder in Cubic-BaSnF4"

This dataset contains the DFT calculations used in the paper "Dynamic Lone Pairs and Fluoride-Ion Disorder in Cubic-BaSnF4". This consists of four sets of data files corresponding to the four main components of the theoretical workflow: Initial optimal volume calculations, Site analysis calculations, Polarisation analysis, and Analysis of Quenched structures. Each of these sets contains all the files necessary for the analysis to be run and the analysis themselves. In addition, the experimental data plotted in the main paper is available in this archive. The analysis of data is presented in the linked dataset "user200000/data-BaSnF4: Bath Dataset Equivalent Release" though the data necessary for these scripts to work is only available here.Ab initio molecular dynamics trajectories were calculated using the Vasp5 DFT and Ab Initio molecular dynamics code on the Archer2 national super computer. Wannierisation of this trajectory was performed using Wannier 90 on the Faraday Institution's Michael Supercomputer

Dataset for Synchrotron micro-CT in kink-band formation of UD-CFRP laminates with microdefects

This dataset contains raw Synchrotron micro-CT images for a baseline and a defect-rich sample subjecting to in-situ compressive loading at different load stages. Post-processing results such as Digital Volume Correlation (DVC) and Fibre misalignment analysis that has been used in the publication.Micro-CT image acquisition was performed at the I13-2 beamline at Diamond Light Source. A pink beam of peak energy 19 keV was obtained through a series of Pyrolytic graphite filters and an aluminium filter, and the beam was collimated to 10 mm × 10 mm using beam-defining slits. The PCO.edge high speed 5.5 X-ray camera was used to capture radiographs at each load increment at a resolution of 2560 × 2560 pixels. Micro-CT data was collected via a flyscan over 180° at an increment of 0.01° (18,000 projections) with an exposure time of 50 ms. A ×2 objective lens was selected in addition to the detectors ×2 predefined magnification (×4 total magnification), resulting in a FOV of 4.2 mm × 3.5 mm with an effective pixel size of ∼ 1.625 μm. This pixel size is sufficient to distinguish individual fibres with ɸf = ∼ 7 μm in diameter. To enhance the phase contrast between the fibres and matrix, an in-line phase propagation study was employed by collecting micro-CT data sets at a range of sample to detector distances. The reconstructions were then analysed to determine an optimised sample-to-detector distance of 580 mm. A Deben CT5000 5kN load cell, co-axially fixed onto a tomography tower, was used to perform in-situ compressive testing of baseline and defect-rich samples. The tower was composed of an Aerotech goniometer, along with multiple Huber and Newport motors, to facilitate sample rotation and the translation required for synchrotron micro-CT at the location of interest. A compressive load was applied at a rate of 0.1 mm/min along the primary fibre axis of the sample. Micro-CT data were collected at each increment load while the motors held stationary, and the increment was reduced close to the expected failure loads for all samples until they failed. This ensured that the initiation of failure and subsequent failure (e.g. fibre kinking, matrix shear and fibre fracture) were captured during the experiment. The samples were held using steel grips that were able to load the sample via the resin blocks on either end. These results were used to determine the load increments applied to the sample during the micro-CT study..vtk requires Paraview (open-source application) to view the processed data .raw requires ImageJ (open-source application) to view the raw dat

Dataset for Quantifying CPT cone factors in clays derived from weathered mudstone

This dataset contains data from a ground investigation in weathered, stiff, fissured clays of the Lias Group. In the paper, "Quantifying CPT cone factors in clays derived from weathered mudstone", these data are used to evaluate the performance of cone penetration test (CPT) profiles for predicting the undrained shear strength of these clays. The dataset consists of a table including 94 pairs of corrected CPT cone factors (N_{kt,UU}), derived from a one-to-one comparison of 94 pairs of triaxial shear strength data from unconsolidated, undrained triaxial tests and CPT cone tip resistance data from equivalent depths.This data was collected as part of a commercial ground investigation by multiple contractors in Oxfordshire, UK. The data was provided by HS2 Ltd in the AGS4 Data Format. Full details of the methodology may be found in the "Materials and method" section of the associated paper.The table is presented as a plain text CSV file. The first row contains headers, some of which are defined in the AGS4 Data Format; the second row identifies the units used

Dataset for "The Ruchardt experiment revisited: using simple theory, accurate measurement and python based data analysis"

Data for several runs of a Ruchardt experiment on 4 gases. See files for details. Also included are the distance dependence of the magnetic field and the leakage rate from the piston-cylinder system.Full details of the methodology may be found in the associated paper.

Dataset for "Antimicrobial Releasing Hydrogel Forming Microneedles"

This dataset pertains to a study involving the use of 3D printed microneedles (MNs) to form hydrogel-forming MNs (HFMs) for the delivery of antibiotics (amoxicillin and vancomycin) transdermally. It includes: - the HFMs ability to swell in fluids over time rapidly and take up drugs in solution as a result (including characterisation of the HFMs and drug loaded-HFMs); - the mechanical properties and skin penetration of both HFMs and Drug-loaded HFMs; - the drug release profiles of the drug-loaded HFMs and how to control the release; - the antimicrobial properties of the antibiotic HFMs against susceptible bacteria. The data provides a suggestion towards the use of HFMs for the effective transdermal delivery of antibiotics, towards reducing the rate of antimicrobial resistance increase.Antimicrobial Properties: Disk Diffusion Assays using E.coli and S.aureus. Samples incuated for 24 hours. Optically monitored the area of inhibition surrounding the HFMs. Data provided are images, analysed using ImageJ with data saved in text file. Drug Release: Drug loaded HFMs were submerged in PBS. PBS samples were taken over time and UV-Vis analysis was used to calculate the concentration of drug that has been release. Data is in the form of Excel document. Mechanical properties: HFMs were tested on a DMA up to 10 newtons. Data is proved in the form of Excel document. Skin Penetration: HFMs were placed on porcine skin and a known force was applied and the resultant skin pores were optically imaged. Data is in the form of images. Swelling: HFMs were submerged in PBS. The mass of the HFMs was taken at various time points. The data provided is in the form of an Excel file. Raw data and data analysis can been found in the respective files.The data is provided in MS Excel format

Data supporting the paper "Trapping of ultrashort pulses in non-degenerate parametric conversion"

The dataset consists of several MATLAB data files (*.mat), corresponding to the figures in the paper. The naming of the files is self-explanatory. Each MATLAB file contains all variables (as arrays) used in each plot. For 2D plots, there are separate 1D arrays for x- and y- coordinates, i.e., if there are several lines in a plot, there will be several corresponding variables for the y-coordinates of each line. For surface plots, all variables are stored as 2D arrays.Full details of the methodology may be found in the associated paper

Dataset for "The 19-Item Environmental Knowledge Test (EKT-19): A Short, Psychometrically Robust Measure of Environmental Knowledge"

This dataset consists of two files – one main dataset, and one dataset for the re-test analysis. The main dataset includes an anonymous participant ID, binary responses to 30 environmental knowledge questions, participant's sex, age and duration to complete the task. The re-test dataset includes all the same variables, completed for both the initial study and at re-test after nine weeks. When collecting this dataset, we were seeking to develop a new measure of environmental knowledge, building upon an existing measure by Geiger et al. (2019).A UK sample of 346 undergraduate students completed the study via the University’s research participation scheme, 121 of whom repeated the study nine weeks later for test-retest analyses.The data is mostly binary (0,1) denoting (incorrect, correct) answers to the environmental knowledge questions. In the sex variable, 1 denotes male, and 0 female. Age is in years. Duration_EKT30 variable denotes how long the full 30 items of the environmental knowledge measure took each participant, measured in seconds (s)

Oolong Tea Project Dataset for "Postprandial metabolic responses to high-fat feeding in healthy adults following ingestion of oolong tea-derived polymerized polyphenols: a randomized, double-blinded, placebo-controlled crossover study"

This dataset contains data for 50 participants who completed the 4-arm Oolong Tea Project study. Data are participant sex, age, height, and weight, along with 3-hour meal tolerance test response data. These data are serum triacylglycerol, and plasma triacylglycerol, insulin, C-peptide, non-esterified fatty acids (NEFA), glycerol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, glucose, and apolipoproteins AI, AII, B, CII, CIII, and E. Timepoints were 0 mins (pre-ingestion of treatment), and 30, 60, 90, 120, and 180 minutes. Treatments were 100mg polymerized polyphenols from oolong tea, 150mg polymerized polyphenols from oolong tea, and 100mg polymerized polyphenols from oolong tea plus 50 mg caffeine and 63 mg catechins, versus a placebo with no active ingredients.10 mL blood samples collected from a canula inserted into the antecubital vein were drawn into a syringe, and immediately dispensed into untreated serum tubes with silicate clotting activator, and tripotassium ethylenediaminetetraacetic acid (K3 EDTA) treated tubes (both Sarstedt, Nümbrecht, Germany) for serum and plasma separation respectively. Before centrifugation, blood samples for serum separation were allowed to clot at room temperature for 20 minutes. Samples were centrifuged at 1300 g for 15 minutes at 4°C, then supernatant was immediately aliquoted, frozen on dry ice, and stored at -80°C for later analysis. Serum TG, and plasma TG, NEFA, glycerol, glucose, HDL-c, LDL-c, and ApoA-I, A-II, B, C-II, C-III, and E, were measured with commercially available spectrophotometric assays (Daytona Rx, Randox, Crumlin, UK) as per the manufacturer’s instructions. Commercially available enzyme linked immunosorbent assay (ELISA) was used to determine concentrations of plasma insulin (Mercodia, Uppsala, Sweden) and C-peptide (MilliporeSigma, Massachusetts, USA)