1056 research outputs found
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Dataset for "The future of community pharmacy in England: policy, stakeholder and public perspectives"
Get PDFThis archive consists of three related datasets that underpin the associated PhD thesis.
The first dataset relates to a policy review of professional and governmental policy on community pharmacy in England (2008-2017). It consists of data extracted from 25 policies relating to their content, context (social, economic and political), policymaking process and actors involved, and the subsequent coding of these data through thematic analysis.
The second dataset relates to a qualitative interview study with 25 community pharmacy stakeholders to explore their expectations for the future of community pharmacy practice in England. It consists of data collected and analysed to select interviewees via a stakeholder mapping process, the materials developed to support the interviews (e.g. topic guide, participant information), transcriptions of the 25 interviews and the subsequent coding of these data through thematic analysis.
The third dataset relates to a qualitative, reconvened focus group study with 11 community pharmacy users to explore their perceptions, awareness and future expectations of community pharmacy in England. It consists of the materials developed to support the focus groups (e.g. topic guide, participant information), transcriptions of the four focus groups meetings and the subsequent coding of these data through thematic analysis.Full details of the methodology used are available in the associated open access PhD thesis.Thematic analysis coding can be viewed using NVivo software
Dataset for "Having permission not to remember: Perspectives on interventions for post-traumatic stress disorder in the absence of trauma memory"
Get PDFThis dataset supports a study that explored the experiences of people who have had psychological intervention for post-traumatic stress disorder without memories of the trauma event (PwM). Interpretative phenomenological analysis was used to explore the lived experience of nine women with PwM who had sought psychological assessment/therapy. Participants were recruited via social media and completed semi-structured interviews online or via telephone. The dataset consists of the anonymised transcripts of these interviews.This dataset was gathered as part of a qualitative DClinPsy research project. The interview schedule was devised in accordance with IPA (interpretative phenomenological analysis) methodology. Further details may be found in the methodology section of the associated paper
Dataset for "Lane nucleation in complex active flows"
No full textExperimental data from human crowd experiments on lane nucleation, including processed videos, extracted trajectories, as well as data processing code.
Code and high-level processed results of agent-based simulations of active binary flows, including hard sphere model, and data-driven model.All methodology information can be found in the main article, and accompanying Supplemental Materials
Simulated Interferometric Synthetic Aperture Sonar (InSAS) Data of the SS Thistlegorm Wreck
No full textThe simulated InSAS dataset is based on a high-resolution 3D model of the SS Thistlegorm ship wreck, which has been supplemented by a textured seafloor to provide a scene spanning an area of 220 by 135 m. The simulated sonar is similar to the NATO Centre for Maritime Research and Experimentation (CMRE) 300 kHz MUSCLE system.The data were generated using a point-based model, which sums the simulated aspect-dependent amplitude-weighted echoes from a set of points distributed across the surface of the 3D model. There are a total of 30 million facets in the 3D model, and these were decomposed into a cloud of almost 1 billion points. The points were randomly distributed with a mean density of 10 points per resolution cell and occlusions were resolved by ray-tracing. The data have been pulse-compressed and compensated for spherical spreading under the assumption of negligible attenuation.There are 368 ping files. Each file contains a 72 by 13751 matrix of complex values corresponding to 2x36 array elements and 13751 time samples. The sampling parameters are contained in the metadata file. There are 10 bathymetry files containing ideal depth maps on a horizontal x-y grid. The first one contains depths to the uppermost surfaces in the scene. The others contain depths at subsequent levels of layover. All files are in .mat format and can be read using Matlab or Python SciPy
Dataset for the Synthesis of N-alkoxycarbonyl pyrroles from O-substituted carbamates – A synthetically enabling pyrrole protection strategy
No full textThis dataset contains nuclear magnetic resonance (NMR) raw data for all novel compounds reported in the associated publication, "Synthesis of N-alkoxycarbonyl pyrroles from O-substituted carbamates – A synthetically enabling pyrrole protection strategy".
The NMR files are provided as FID (Free Induction Decay) files, the standard format for NMR raw data. There are multiple software packages that can read this data, including but not limited to MestreNova, TopSpinACD/Labs NMR Workbook suite, ACD/Labs Spectrus JS.NMR Spectroscopy: 1H and 13C NMR spectra were obtained using a 500 MHz Agilent ProPulse 500 or a 400 MHz Bruker NMR spectrometer, for which proton decoupling was active for 13C NMR. Spectra were acquired at 298 K and were referenced to residual solvent peaks. Chemical shifts are reported in parts per million (ppm) relative to residual chloroform (δ = 7.26 ppm, 1H; 77.16 ppm, 13C), acetone (δ = 2.05 ppm, 1H; 29.84, 206.26 ppm, 13C) or dimethyl sulfoxide (δ = 2.50 ppm, 1H; 39.52 ppm, 13C). Coupling constants, J, reported in Hz, were calculated using MestreNova x64 to the nearest 0.1 Hz. 1H and 13C{1H} assignments for novel compounds are corroborated though 2D NMR experiments (COSY, NOESY, HSQC, HMBC).
Further details of the methodology may be found in the associated paper.MestreNova - NMR analysisGeneral procedure for N-Carboxy pyrrole synthesis: Carbamate (4 mmol, 1.0 equiv) and 1,4-dimethoxytetrahydrofuran (0.63 mL, 4.4 mmol, 1.1 equiv, mixture of cis and trans) were added to a flask and purged with nitrogen. AcOH (2.2 mL) was added, and the reaction was heated to reflux (110 °C) using a heating mantle. The reaction was monitored by TLC, and upon completion was cooled to ambient temperature. (Vanillin TLC stain used for non-UV active substrates). CH2Cl2 (50 mL) was added, then washed with saturated Na2CO3(aq) (50 mL × 2), then brine (50 mL). The organic layer was dried over MgSO4 and filtered, then the filtrate was concentrated in vacuo. The crude product was purified by passage through a silica plug (elution with CH2Cl2) and any residual 1,4-dimethoxytetrahydrofuran starting material was removed under vacuum.
General Procedure for Acylation reactions using TFAA: To a nitrogen-purged flask of N-carboxy pyrrole (1.0 equiv), and carboxylic acid (3.0 equiv) in dry dichloromethane (c = 0.44 M), trifluoroacetic anhydride (10 equiv.) was added dropwise at ambient temperature. The reaction was monitored by TLC, and upon completion the reaction was diluted with CH2Cl2 and washed with 1 M Na2CO3(aq). The organic layer was separated, and the aqueous layer extracted with CH2Cl2 (×2). The combined organic solutions were then washed with brine, dried over MgSO4, and filtered, then the filtrate was concentrated in vacuo. The crude product was purified by column chromatography (SiO2, EtOAc–Pet Ether).
General Procedure for Acylation reactions using Tf2O: To a nitrogen-purged flask of N-carboxy pyrrole (1 equiv.), and carboxylic acid (1 equiv.) in dry dichloromethane (c = 0.44 M), trifluoromethanesulfonic anhydride (10 equiv.) was added dropwise at 0 oC. The reaction was stirred without further cooling and monitored by TLC, and upon completion the reaction was diluted with CH2Cl2 and washed with 1 M Na2CO3 (aq). The organic layer was separated, and the aqueous layer extracted with CH2Cl2 (×2). The combined organic solutions were then washed with brine, dried over MgSO4, and filtered, then the filtrate was concentrated in vacuo. The crude product was purified by column chromatography (SiO2, EtOAc–Pet Ether).
General Procedure for N-Troc deprotection: To zinc dust (1.72 mmol) and the N-Troc protected product (0.44 mmol), CH2Cl2 (3.2 mL) and AcOH (0.66 mL) were added. The reaction was stirred at ambient temperature and monitored by TLC until consumption of starting material. The reaction mixture was diluted with acetone (30 mL) and filtered through celite, then concentrated under vacuum to obtain analytically pure product.
General Procedure for N-Tosyl deprotection: NaOH pellets (3 equiv.) were crushed and added to a solution of N-Tosyl pyrrole product in (9:1) MeOH/H2O (0.81 M) and stirred overnight at ambient temperature. EtOAc was added, the phases were separated, and the aqueous phase was extracted with EtOAc. The combined organic extracts were washed with brine, dried over MgSO4 and filtered. The filtrate was evaporated to dryness to obtain analytically pure product.The data are labelled with compound name and number according to paper
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"
No full textThis 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)
Dataset for "Cold Housing in Central Mexico: Environmental Dissatisfaction and Underheating Lowers Self-Perceived Health in Central Mexico"
No full textThis 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 Synchrotron micro-CT in kink-band formation of UD-CFRP laminates with microdefects
No full textThis 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 ‘I am tired, sad and kind’: self-evaluation and symptoms of depression in adolescents
Get PDFThis dataset is for a study examining self-evaluation and depression in adolescents. Adolescents aged 13-18 years (n = 549) completed a measure of depression symptoms (the Mood and Feelings Questionnaire) and a measure of self-evaluation (the Twenty Statements Test; TST). Descriptions (words generated by adolescents to describe their self) were then collated and are presented in this resource.
The data set contains:
1. A list of the most common words generated by both healthy adolescents and those with elevated symptoms of depression alongside a percentage of how often each word was generated. Only words generated more than once are included.
2. A list of words with corresponding difference scores. These scores were calculated (e.g., % of adolescents in the elevated group who generated word A - the % of adolescents in healthy group who generated word A) so it is possible to identify words more ‘discriminate’ to those with low and elevated symptoms of depression. A difference score of a positive value highlights that these words were generated more often by adolescents with elevated symptoms of depression.Adolescents from three publicly funded secondary schools in the UK were invited to take part in this study. Adolescents who scored above the clinical cut off for depression (i.e., a score of 27 or above on the Mood and Feelings Questionnaire, Costello & Angold, 1988; MFQ), and those who scored within the ‘healthy’ range (i.e., a score of 12 or below on the MFQ) were included in this study. The final sample was 371 ‘healthy’ adolescents (58.2% males) with a mean age of 14.85 years (SD = 1.52), and 178 adolescents with elevated symptoms of depression (27.5% males) with a mean age of 14.82 years (SD = 1.29). However after data coding, 39 adolescents was excluded as they did not generate any adjectives.
Adolescents completed paper questionnaires in class (N = 30) in the presence of the researcher (EH). Participants completed the MFQ followed by using the Twenty Statements Test (TST;(Kuhn & McPartland, 1954). This measure provides 20 unfinished sentence stems each beginning with “I am…”. Respondents are asked to define themselves by completing as many statements as possible. All adolescents who took part were entered into a prize draw in which 10 young people from each school won £10 amazon voucher.All data was anonymised and contains no personal or disclosive information to ensure participant confidentiality.
Data were then coded. A frequency count of each descriptor generated by adolescents was first conducted. Only single word adjectives (or very short responses i.e., <3 words) were analysed in this study and included. Other data e.g., that described roles (e.g., “a footballer”), physical appearance (e.g.,“blonde”), qualified roles (e.g., “good at football”) were removed. For each descriptor a proportion scores was calculated (e.g., count of word A/sample size of healthy group; count of word A/sample size of elevated group). These scores reflect how often each group (i.e., healthy and those with elevated symptoms of depression) used each word.
A difference score was also calculated (e.g., % of adolescents in the elevated group who generated word A - the % of adolescents in healthy group who generated word A) so it is possible to identify words more ‘discriminate’ to those within each depression ‘group’ i.e., healthy adolescent’s vs those with elevated symptoms.The data was cleaned and analysed using SPSS version 26. and Microsoft ExcelThe words are in order of frequency. The most common descriptors appear first
Dataset for "Comparing pharmaceutical company payments in the four UK countries: a cross-sectional and social network analysis"
No full textThis dataset contains all pharmaceutical company payments to healthcare organisations (originally published in Disclosure UK, a database hosted by the Association for the British Pharmaceutical Industry) and patient organisations (originally published on pharmaceutical company websites) in 2015. Following extensive investigative web searches of publicly available organisational data, all recipients have been categorised depending on their role in the healthcare ecosystem and their location in either England, Scotland, Wales or Northern Ireland has been noted. Additional tabs in the dataset provide supplementary descriptive details and a Matrix for each company (indicating the number of recipients targeted by multiple companies).This dataset draws on two data sources:
1) Disclosure UK, a database of pharmaceutical industry payments to healthcare organisations in the UK published annually
We downloaded the dataset from the Association of the British Pharmaceutical Industry's website and cleaned the data as part of a previous study, in which we also document the process to preparing the data in detail (Ozieranski et al., 2019a).
2) Payments to patient organisations, individual disclosures published on pharmaceutical company websites annually
We downloaded all pharmaceutical industry disclosures published on their individual websites and cleaned the data as part of a previous study, in which we document the process to preparing the data in detail (Ozieranski et al., 2019b)
Our dataset combines the above two datasets.
Ozieranski P, Csanadi M, Rickard E, Tchilingirian J, Mulinari S. Analysis of Pharmaceutical Industry Payments to UK Health Care Organizations in 2015. JAMA Netw Open. 2019a;2(6):e196253. doi:10.1001/jamanetworkopen.2019.6253
Ozieranski P, Rickard E, Mulinari, S. Exposing drug industry funding of UK patient organisations BMJ 2019b; 365 :l1806 doi:10.1136/bmj.l1806We supplemented the data in Disclosure UK and in pharmaceutical company disclosures of payments to patient organisations with additional meta-data on payment recipients' country-level locations to compare payments made in the four UK countries.Disclosure UK version 2016063
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