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Data used in the article 'Fortification of pea and potato protein isolates in oat-based milk alternatives; effects on the sensory and volatile profile' – chapter 3 of thesis
Get PDFThis dataset contains data in Chater 3 of thesis. Obtained from experimental measurements of the physical, volatile and sensory properties of oat-based milks after fortification with pea and potato protein isolates.
The data was obtained using a GC-MS, a Mastersizer, and colorimeter. The sensory analysis data was obtained from trained panellists from MMR Research Worldwide Ltd
Characterization and evaluation data from the National Fruit Collection 2025_Plum
No full textData are characterization and evaluation scores and measures collected during the curation of the National Fruit Collection (plum collection). Data were largely collected in line with the published ECPGR Passport and Priority Descriptors for Plum Genetic Resources with additional locally agreed descriptors. The dataset contains scores across 15 traits from 345 accessions
Data supporting the article: Variability in sodium content of takeaway foods: implications for public health and nutrition policy
No full textSodium content of various takeaway foods collected in Reading in summer 2022. Sodium content was measured using ICP-MS
Background to the dataset:
Background: Excessive sodium intake is a major modifiable risk factor for
cardiovascular disease, yet accurately assessing dietary sodium remains challenging due
to food composition variability and inaccurate menu labeling. While menu labels are
intended to guide consumers, discrepancies between reported and actual sodium content
could undermine their effectiveness.
Objective: To evaluate the accuracy of menu-declared sodium content in takeaway
foods by comparing reported values with laboratory measurements.
Design: A cross-sectional analysis of 39 takeaway food items from 23 outlets in
Reading, UK. Sodium content was measured using Inductively Coupled Plasma – Mass
Spectrometry (ICP-MS) and compared to menu-declared values
Dataset to support 'LAP-MALDI MS analysis of amelogenin from teeth for biological sex estimation'
No full textThis dataset contains raw and processed data for liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry (MS) analysis of chromosome-specific amelogenin peptides following a simple acid extraction from enamel. A modified Synapt G2-Si with an in-house built atmospheric pressure MALDI source was used for all MS and MS/MS analyses.
Raw data was processed using Mascot Distiller (Version 2.8.5, 64-bit; Matrix Science, London, England) and the exported peak lists were searched for protein database entry matches using ProteinProspector, thus providing peptide identification and characterisation
Data supporting 'A cross-cultural investigation of authentic leadership in the United Arab Emirates'
Get PDFThis dataset is based on a survey of senior leaders in the United Arab Emirates. The data was collected during October 2022 using an online survey via Qualtrics.
The sample includes responses from 137 senior leaders working in the United Arab Emirates. The survey was distributed online using the Qualtrics platform.
The survey was distributed in English. All identifying information, including company name and address, has been removed
A new receptive vocabulary size test for young language learners in England
Get PDFThese data were used to evaluate and refine three tests of receptive vocabulary size in French, German and Spanish respectively, which were administered to primary school students aged 7-11 in England in February-March 2023 (initial test) and in January-February 2024 (revised test). There are in total six data files in Excel format, one test file in Word format (containing the revised test for each language) and one file in pdf format (containing the initial test for each language)
Heavy goods electric vehicle (HGEV) price-managed depot charging demand modelling software
No full textThe 'Heavy goods electric vehicle (HGEV) price-managed depot charging modelling' software is a comprehensive tool tailored to model the charging demand profile of fleets of heavy goods electric vehicles (HGEV) in a depot-style operation. It efficiently manages charging slots to minimise total costs by considering electricity price variations, particularly in the UK. To effectively utilise the software, users must define key factors such as fleet size, specific energy consumption, battery capacity, charge point power, daily price profiles, and daily travelled distance.
In the context of depot-based operations, where vehicles return at the end of their duty for overnight recharging, this software adopts a price-managed charging strategy. As the transportation sector transitions to electric vehicles, grid infrastructure faces challenges meeting demand. While spare generation exists during off-peak times, the focus shifts to optimising electricity costs. Linear optimisation techniques are employed to minimise fleet charging costs. The algorithm begins by initialising parameters such as charging power, depot capacity, and vehicle characteristics. By minimising the total energy cost for individual vehicles, the software optimally recharges the entire fleet within time and capacity constraints. Developed within MATLAB (R2023a), this software ensures seamless integration across engineering and scientific domains
Heavy goods electric vehicle (HGEV) depot charging demand modelling software
No full textIntroducing the 'Heavy goods electric vehicle (HGEV) depot charging demand modelling' software:
This software package is crafted to model the charging demand profile of a fleet of heavy goods electric vehicles (HGEV) operating in a depot style. To effectively utilise the software, the factors must be available or defined for the model including case factors (like size of the fleet, specific energy consumption, battery capacity, charge point power), and country/operating zone based factors (e.g., daily travelled distance).
In a depot operational style, the fleet returns to the depot at the end of its duty, and the vehicle batteries are fully recharged overnight to be ready for the next daily operation. To quantify the demand of the fleet, the model has been developed with the consideration of an unmanaged charging strategy.
In the current strategy, the model takes into account the main parameters of the fleet and the depot, along with the start and end times for the charging events. Based on the state of charge of the fleet and the available charging power at the depot, the software generates the demand profile for individual vehicles and the total demand of the fleet. This demand profile reflects the load faced by the network during the recharge time of the fleet. MATLAB (R2023a) functions as the primary development environment for the software suite, ensuring seamless integration with diverse engineering and scientific contexts
Model of GB telecommunications electricity load using meteorological re-analysis and temperature delta-shift
Get PDFGB telecommunications infrastructure electricity load is modelled in simulated climate scenarios (1.5C, 2.0C, etc.) using a 'delta-shift' of re-analysis.
MERRA2 re-analysis data (1981-2023, 2m temperature) is used to calculate the daily electricity load of telecommunications infrastructure in GB under different delta-shifts (offset with respect to global temperature thresholds).
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
Dataset supporting paper ‘Fish oil supplements, but not oily fish, alter the number and function of extracellular vesicles in healthy human subjects: A randomized, double-blind, placebo-controlled, parallel trial’
Get PDFThis dataset includes all summaries of raw data supporting the results presented in the paper "Fish oil supplements, but not oily fish, alter the number and function of extracellular vesicles in healthy human subjects: A randomized, double-blind, placebo-controlled, parallel trial".The objective of this paper is to investigate the effects of fish oil supplements providing 2.2 g/d of n-3 polyunsaturated fatty acids (PUFAs) and oily fish at a level achievable in the diet providing 1.44 g/d of n-3 PUFA, on the numbers, compositions and procoagulant activity of extracellular vesicles (EVs) in healthy human volunteers. Data about EVs parameters include: i. the numbers, and size of circulating total EVs measured by Nanoparticle Tracking Analysis (NTA); ii. the numbers of EV subpopulations (i.e. phosphatidylserine-positive EVs (PS+EVs), platelet-derived EVs (PDEVs), endothelial-derived EVs (EDEVs)) by flow cytometry (FCM); iii. the procoagulatory activity of circulating EVs including in vitro thrombogenic potential of EVs in activating tissue factor-dependent thrombin generation measured by thrombin generation assay and in vitro clot-forming capacity of EVs measured by clot formation and lysis assays. Data about fatty acid compositions of red blood cells (RBCs) and EVs were measured by gas chromatography. Data about plasma lipid profile include total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triacylglycerol concentrations measured by Randox. Data about subjects baseline characteristics include i. height, weight and body mass index (BMI) measured by Tanita; ii. blood pressure measured by upper arm blood pressure monitor