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Dataset for "Changes in the incidence and prevalence of systemic lupus erythematosus between 1990 and 2020: an observational study using the Clinical Practice Research Datalink (CPRD)"
No full textSupplementary file 1 contains the medical and product codes using from the Clinical Practice Research Datalink in defining the population to be included in this study.
Supplementary file 2 contains some further results and information about the cohort that were not included in the main publication but may be useful to aid understanding of the results found.Methods are described in full in the paper. Briefly:
* SLE Read codes, were identified from the CPRD dictionary and from review of code lists reported in previous CPRD studies.
* Code lists were reviewed independently by two rheumatologists and those with agreement retained.
* Clinical and immunological features suggestive of SLE based on the 2019 EULAR-ACR classification criteria were found.
* Immunosuppressants were amended to include SLE related medications which are now more widely used (addition of Leflunomide, Mycophenolate Mofetil, Rituximab and Tacrolimus and Belimumab).
* Test data (e.g. white cell count) had inclusion thresholds set based on unit types and expected normal values.The cohort was selected as described in the case ascertainment section of the paper. Data was aggregated and described in the paper. No changes to the original data that we received (already deidentified) were made.SQL Developer was used to process the raw data; analysis was carried out using R.No coding included in these supplementary data files
Dataset for "3D‐Printed Hollow Microneedle‐Lateral Flow Devices for Rapid Blood‐Free Detection of C‐Reactive Protein and Procalcitonin"
No full textThis dataset pertains to a study involving the use of 3D printed hollow microneedles (HMNs) for the detection of c-reactive protein and procalcitonin. It includes:
- Chemical modification of the HMNs surface to enhance its ability to uptake fluids rapidly;
- the mechanical properties and skin penetration of both HMNs;
- Characterizations' of the material, including FTIR, TGA and AFM;
- Cytotoxicity assessment of the HMNs;
- Uptake of CRP and PCT in solutions and detection using LFTs.
The data provides a suggestion towards the use of HMNs for the effective rapid diagnostics of inflammation markers.Cytotoxicity: HMNs and 3D printed parts were tested against human dermal fibroblast cells and breast tumour cells. Samples were exposed to the cells and cell death was recorded over 24 hours. Alternatively, cell growth was recorded over 48 hours.
CRP and PCT detection: A spiked solution of relevant concentration was prepared. LFTs were placed within the HMNs. HMNs were placed within PBS.
Mechanical properties: HMNs were tested on a DMA up to 10 newtons. Data is proved in the form of excel document.
Skin Penetration: HMNs 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.
Wettability: Square samples were printed and treated with various treatments. The contact angle was taken over time to determine the effect.
Raw data and data analysis can been found in the respective files.The data is provided in MS Excel format
Dataset for Paper: Cellulose Acetate Microbeads for Controlled Delivery of Essential Micronutrients
No full textThe use of biodegradable materials to control the delivery of micronutrients to soil and plants has been explored, as it is an essential element in increasing agricultural yields. In this work, we developed a novel and efficient way to prepare biodegradable cellulose acetate beads containing zinc for use as controlled release fertilizers. Experimental work covered includes particle sizing, SEM imagery and ICP-OES to determine zinc release rates from beads.
Data in this dataset will include excel files, 3D models, and imagery.Data collection features data collected using optical microscopy, ICP-OES, soil characterization data, bead particle size analysis and metal characterization.AvizoFire V8 for X-ray CT imagery. Microsoft excel for data analysis
Dataset for PhD thesis: Life Cycle of Renewable Electricity Technologies: equimarginal incremental cost determination of ex-ante targets
Get PDFThis dataset includes life cycle inventories for assessing environmental aspects and potential impacts of electricity generation and supply options in Lebanon. The software SimaPro was used to conduct Life Cycle Assessement (LCA) of these options.
Specifically, the dataset includes life cycle inventories for electricity generation systems (photovoltaic [PV], concentrated solar power [CSP], wind power, hydropower); electricity supply options (lead-acid battery, electricity grid); the end-of-life scenario for photovoltaic systems, with and without lead-acid batteries; and cement production. It also contains net-present value (NPV) and levelised cost of electricity (LCOE) calculations for the four electricity generation systems examined.
The dataset supports the PhD thesis "Life Cycle of Renewable Electricity Technologies: equimarginal incremental cost determination of ex-ante targets".Changes in values were introduced in the datasets of Ecoinvent. By copying an existing process in the Ecoinvent datasets, values appropriate and representative to Lebanon are then introduced/changed. Irrelevant sub-processes are deleted. The final result preserves of the integrity of the original dataset while the values are "localised" to reflect the local conditions.
For the NPV and LCOE calculations, once the capital expenditure (CAPEX) and operating expenditure (OPEX) are determined, the discount rate and lifetime were chosen based on the technology. The formula for calculating both the LCOE and the NPV were then introduced in the MS Excel spreadsheet and calculations executed.The files were exported from SimaPro version 9, apart from the spreadsheet containing the NPV and LCOE calcuations. The spreadsheets are in Microsoft Excel (.xlsx) format
A scoping review of regularization in decision science
No full textWe review the literature on regularization in decision science. Materials contain a protocol for article search, exclusion, and coding; the initial article set (without duplicates) and the coded article set.Please see the methodology in the associated paper
Dataset for "What Should Inpatient Psychological Therapies be for? Qualitative Views of Service Users on Outcomes"
Get PDFThis data outlines the views of 14 participants who had an inpatient admission within the last year, on what outcomes they think are important to measure in psychological therapy trials in acute mental health inpatient wards. This data includes the 14 transcripts of the qualitative semi-structured interviews.The interview schedule was piloted with a Person with Personal Experience Researcher (LC) and included questions adapted from a previous Core Outcome Set study (Tyler et al., 2020). The semi-structured interviews were conducted remotely by either video call or telephone and audio-recorded for transcription.The transcripts were anonymised and demographic details were removed. The data includes the transcription from the first question to the final question.The transcripts are in Microsoft Word format.Transcription was completed following the Transcription Notation System for Orthographic Transcription (revised from Braun & Clarke, 2013)
Data set for "Surfactant induced gelation of TEMPO-oxidised cellulose nanofibril dispersions probed using small angle neutron scattering"
No full textSmall angle neutron scattering (SANS) and rheology data on TEMPO-oxidised cellulose gels containing four different surfactants. All of the surfactants had the same hydrophobic tail length but had different headgroups: hexaethylene glycol mono-n-dodecyl ether (C12EO6, non-ionic), sodium dodecyl sulphate (SDS, anionic), cocamidopropyl betaine (CapB, zwitterionic) and dodecyltrimethylammonium bromide (DTAB, cationic). Data from contrast variation SANS studies are included where deuterated versions of C12EO6 or SDS, or varied D₂O/H₂O ratio of the suspensions (with CapB), were used to focus only on the structural properties of OCNF or surfactant micelles in the suspensions.Full details of the methodology may be found in the Materials and Methods section of the associated paper.Each folder contains a "description of data.txt" file that describes how the data have been arranged and encoded. All files are in plain text formats and may be inspected with a text editor
Dataset for "Spin-order-dependent magneto-elastic coupling in two dimensional antiferromagnetic MnPSe3 observed through Raman spectroscopy"
No full textInput files for the open source Quantum Espresso and Phonopy codes (and the required pseudopotentials) are provided to reproduce the calculations presented in the associated paper, with the following abstract.
Layered antiferromagnetic materials have emerged as a novel subset of the two dimensional family with promising physical properties which provide a highly accessible framework in which to examine a multitude of phenomena arising from a unique combination of low dimensionality, fast spin dynamics and a robustness to external magnetic fields. Specifically, materials such as metal thiophosphates, MPX (M = group VIIB or VIII element, X = chalcogen element), hold a lot of promise for investigating fundamental interactions between magnetic and lattice degrees of freedom, and for the exploration of developing fields such as spintronics and magnonics. Here, we use a combination of temperature dependent Raman spectroscopy and density functional theory to explore ordering-dependent interactions between the antiferromagnetic manganese spin degree of freedom and lattice vibrations via a super-exchange pathway in both bulk and few layer manganese phosphorous triselenide (MnPSe) from 5-250 K including the Ne{\'e}l transition temperature of 74 K. We observe a non-linear temperature dependent shift of all seven Raman active phonon lines, including two magnetic modes (84 cm and 109 cm), a hybridised two-magnon mode (126 cm) and four lesser studied vibrational modes predominantly associated with the non-magnetic sub-lattice (143 cm, 156 cm, 173 cm, and 221 cm) which possess a non-trivial spin-phonon coupling below the Ne{\'e}l temperature. Using an analytical approach consisting of combining anharmonic temperature dependent shifts with magnetic-specific Brillouin function fitting to these four phonon lines, we extract a spin-phonon coupling constant for each mode.This dataset contains details necessary to reproduce the density functional theory calculations within the associated publication.The input files are intended for use with Quantum Espresso open-source density functional theory code (https://www.quantum-espresso.org/) with pseudopotentials generated by the "atomic" code included with QE and contained in PSlibrary (https://www.materialscloud.org/discover/sssp/plot/efficiency/). The Phonopy code was also used.Input files follow the order of the figures in the paper
Dataset for “Lack of optimistic biases in depression and social anxiety is reflected in reduced positive self-beliefs, but distinct processing of social feedback”
Get PDFThis study aimed to examine learning of social evaluations associated with psychopathology. We used two independent datasets (n = 552 and n = 807) to assess the relationship between depression (PHQ-9), social anxiety (BFNE), and learning of positive and negative evaluations about the self and an other.This study aimed to examine learning of social evaluations associated with psychopathology. We created two datasets for this study. Firstly, we collated individual participant data from ten studies previously collected within this research group (dataset 1; n = 552). To assess the reliability of our findings from dataset 1, we collected a second independent dataset using the online recruitment platform Prolific (dataset 2; n = 807). In both datasets participants completed self-report measures of mood including depression (PHQ-9) and social anxiety (BFNE), and a computerised cognitive task where participants were asked to learn whether the computer liked the self and a fictional other based on the computers’ feedback to selection of a positive or negative social evaluative word pairs. In dataset 1 participants completed the study materials in psychology labs under the supervision of researchers. In dataset 2 participants completed the study materials independenly using online survey (qualtrics) and cognitive task (inquisit) software.Data was anonymised through assignment of unique subject IDs and removal of potentially identifying information.R version 4.0.5In the associated manuscript for this study we report findings from two datasets. Our first dataset was comprised of individual participant level data from ten studies previously conducted within this research group (dataset 1). To validate the findings of this first dataset, we collected a second independent dataset using the online recruitment platform Prolific (dataset 2). The files from dataset 2 are available as open access, however as studies in dataset 1 did not obtain consent from participants to publish data as open access this data has been made available under restricted access conditions.
Four different data files are included for each dataset relating to (1) questionnaire measures (2) trial level social evaluation learning task data, (3) aggregate level SEL task outcome data for all trials completed per referential condition-rule block, and (4) aggregate level SEL task outcome data for 20 trials completed per referential condition-rule block. In our analyses for aggregated data we used the files with 20 trials to match with the minimum number of trials completed in one study in dataset 1
Code and data for "Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration"
Get PDFDegeneracy of a neural circuit is the ability of the neural circuit to produce the same output despite being structurally different. Our model gives an insight into the possibility of degeneracy at the source level of the neural circuits, i.e. at the level of neuromodulators. This dataset contains code and data to plot activity profiles of a particular model and compute the maximum percentage of deviations of the activity profiles of neuronal populations of a particular model, from their experimental values; to generate activity profiles as per the experimental outcomes in the associated paper; and to perform stability analysis for the models described in the manuscript, both individually and together.Please see the associated paper.These files correspond to commit 7ed2e5f in the Git repository
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