398 research outputs found
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Dataset to support 'Liquid atmospheric pressure matrix-assisted laser desorption/ionization (LAP-MALDI) mass spectrometry using a commercial ion source and Orbitrap mass analyzer'
No full textAs part of the EPSRC project 'A Cost-Effective High-Speed Clinical Diagnostics Instrument for Large Population Screening Based on Novel Liquid AP-MALDI MS Technology', the application of liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) methodology in conjunction with a commercial AP-MALDI ion source coupled to an Orbitrap mass analyser was investigated.
The raw data files, including AP-MALDI-Orbitrap, LAP-MALDI-Orbitrap and LAP-MALDI-QTOF data of an 8 peptide mixture, a 3 protein mixture, and a bacterial extract are presented here
Data supporting PhD 'The moral component of fighting power of the Army Reserve: a qualitative study'
No full textTranscripts of 13 focus groups comprising 41 participants investigating attitudes of Army Reserve soldiers to mobilisation. Data collected February-September 2022.
Collected for PhD submitted to University of Reading. Collected on digital Dictaphone, manually transcribed
Dataset supporting the thesis "Belowground carbon sequestration potential of apple trees"
No full textThis data set supports the investigation into belowground carbon sequestration potential of apple trees. Each of the five experiments had their own specific aims in determining the positive or negative effects on the amount of belowground carbon that could be stored over the life span of orchards. This included the planning, growing and end of orchard life stages. The five factors that were investigated were: 1) rootstock variety, 2) scion variety, 3) increasing atmospheric temperature, 4) orchard age, 5) stored soil C post-grubbing. The raw data has been provided for each experiment on Excel spreadsheets with additional documentation for the DNA results for ITs and 16s (soil fungi and bacteria) linked to differences under rootstock varieties.
The data was collected from soil samples in either pot/rhizotron, in glasshouse or polytunnels, or from three field-based experiments of longer-term plantations. The soil samples from the glasshouse or polytunnel experiments were hand collected as the trees were being removed from the containers, they were grown in. The samples were then placed into labelled bags before lab analysis was conducted. The field-based studies used hand cores to collect samples 30cm from the tree’s trunk and 30cm deep into the soil from the surface, and again placed in labelled bags, stored at 5oC before lab analysis was conducted. Further information on the laboratory analysis methods used to collect the raw data and how the soil and biomass samples were collected can be found in the associated chapters in the thesis that this data set supports
Heavy goods electric vehicle (HGEV) on-route charging demand modelling software
No full textIntroducing the 'Heavy goods electric vehicle (HGEV) on-route charging demand modelling' software:
This software package is designed to model the charging demand profile of targeted heavy goods electric vehicles (HGEV) at on-route charging stations operating in a public charging style. To effectively utilise the software, the factors must be available or defined for the model considering case factors (total number of vehicles being charged at the station per day, popular time, charger power, charge point efficiency), and country/operating zone based factors (including average battery capacity, average specific energy consumption, daily travelled distance).
The software package, developed for heavy goods electric vehicle (HGEV) on-route public charging station demand modelling, encompasses a comprehensive set of functions tailored to accurately simulate and analyse the charging demands of HGEVs at charging stations. Through these integrated functionalities, our software package offers a comprehensive solution for modelling and analysing HGEV charging demands at on-route public charging stations, facilitating informed decision-making and efficient station management. MATLAB (R2023a) functions as the primary development environment for the software suite, guaranteeing seamless integration with diverse engineering and scientific contexts
Data supporting: 'Strategies to overcome mental health stigma: insights and recommendations from young people with major depressive disorder (MDD)'
No full textMajor depressive disorder (MDD) is a serious and prevalent mood disorder in young people. Those with depression are met with stigma-others' negative societal views, including stereotypes, prejudices, and discriminatory behaviours (DeLuca, 2020) - concerning their mental health that extends to global judgments of them as individuals (Prizeman et al., 2023). Stigma associated with depression may drive non-disclosure, loneliness, and social isolation, as well as exacerbate depression symptoms (Achterbergh et al., 2020). Disclosing depression to others might not only make social connections more difficult, but it may also reduce the opportunity for treatment. Yet choosing to disclose one's mental health to supportive others could improve mental health (Mayer et al., 2022). As stigma may, in fact, be responsible for increased feelings of loneliness and a lack of disclosure, the aim of this research was to examine how young people with depression experience stigma and its impact on loneliness and social isolation, as well as their decisions to disclose their mental health and what recommendations they have for others.
Semi-structured interviews were conducted with N=35 young people aged 18-25 years (M = 20.09). Participants met the criteria for clinical depression using the Mood and Feelings Questionnaire (score >27) or had recently obtained a medical diagnosis of depression. Data were analyzed using thematic analysis.
This study provides new data on strategies young people with depression have for others to disclose their mental health and overcome stigma. Our research indicates that social, self-, and societal affirmation are important topics for improved wellbeing and recovery for individuals struggling with disclosure decisions and depression stigmas. These strategies highlight the need for guided policies and programs that provide mental health support to young people, and public awareness campaigns that guide young people to appropriate resources (i.e., support and intervention) via the UK NHS or UK governmental public health bodies, to directly reduce depression stigma
Data on the efficacy and interactions of two natural enemy species (Anthocoris nemoralis and Forficula auricularia) for the biological control of pear psyllid (Cacopsylla pyri), Kent, UK
Get PDFThis dataset contains behavioural response data for Anthocoris nemoralis and Forficula auricularia under two different temperature regimes (current and RCP8.5), within microcosms in controlled temperature cabinets. Behaviours (feeding, moving, moving leaf, antennating, cleaning and stationary and interacting) were assessed during the night (after 2hrs dark) and day (after 2hrs light) and position (top, middle, bottom and shelter) within the microcosm was also recorded.
The dataset also contains the amount of Cacopsylla pyri consumed by A. nemoralis and F. auricularia within microcosms after 24hrs and whether the predator species has also survived. This is for two different temperature regimes (current and RCP8.5) and predator treatments are A. nemoralis and F. auricularia on their own or both species together.
The dataset includes a survival analysis, the survival of anthocorids (A. nemoralis) (hrs), in a petri dish alongside earwigs (F. auricularia) and a control treatment of anthocorid survival without an earwig present. This occurred at two different temperature regimes (current and RCP8.5), with anthocorid survival being assessed after 6hrs, 12hrs and then every 12 hrs for 10 days.
Finally, the dataset contains an olfactometry analysis where F. auricularia chooses between two arms within an olfactometer, at two temperature regimes (current and RCP8.5). arms containing different prey species, either anthocorids (A. nemoralis), pear psyllid nymphs (C. pyri) or no food as a control treatment. Time taken to decide on an arm was recorded, alongside whether the decision was for a prey item or not
Model of GB telecommunications electricity load using UKCP18 climate projections
Get PDFGB telecommunications infrastructure electricity load is modelled in simulated climate scenarios (1.5C, 2.0C, etc.) using a bias-adjustment of climate model outputs (UKCP18 perturbed physics ensemble, regional downscaling).
Several bias-adjustments are made available, including 'mean' bias adjustment and 'Quantile Delta Mapping'. A justification of different approaches is made in an accompanying paper (in progress).
The model coefficients are taken from the dataset "MERRA2 derived time series of GB telecommunications infrastructure electricity load, using historical daily surface temperature" https://doi.org/10.17864/1947.00053
Lerwick Observatory monthly mean Potential Gradient by hour of day 1964-1984
Get PDFAtmospheric electricity measurements from Lerwick Observatory, Shetland, UK, provide a rare long-term series of hourly Potential Gradient (PG) data during the twentieth century. The Lerwick PG records have contributed to understanding climatological trends in atmospheric electricity. This archive is a subset of the full dataset, and provides monthly mean PG values for each hour of day, derived from summary sheets between 1964 and 1984, capturing typical daily and seasonal variations in PG
Dataset to support LAP-MALDI MS profiling and identification of biomarkers for the detection of bovine tuberculosis
No full textThis dataset contains LAP MALDI MS profile data from 95 cattle nasal swabs, as well as MS/MS data performed in order to identify biomarkers detected in the MS profiles. Subsequent PCA and LDA analysis was performed, whose models are contained within this dataset alongside their respective cross-validation. An in-house built LAP-MALDI MS coupled to a Synapt G2-Si was used for all data acquisitions. All data presented was acquired between February 2022 and December 2022
Outputs from a volcanic ash transport and dispersion model (NAME), plume model (ATHAM) and source inversion system (InTEM) for phase 7 of the 2019 Raikoke eruption
Get PDFThis dataset contains (1) the output of a volcanic ash transport and dispersion model (Numerical Atmospheric-dispersion Modelling Environment - NAME) simulations of phase 7 of the 2019 Raikoke eruption used in the UK Met Office volcanic ash source inversion system (InTEM), (2) output from the InTEM system for the Raikoke eruption, (3) output from a plume model (ATHAM) simulation of phase 7 of the Raikoke 2019 eruption, (4) output of volcanic ash transport and dispersion model simulations used for comparison to the ATHAM simulation.
The use of this data is outlined in Natalie Harvey et al. (202X): A comparison of volcanic ash distribution predicted by a plume rise model and source inversion model: Raikoke 2019. (In preparation