398 research outputs found
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Dataset to support 'Rapid multiplex antimicrobial resistance profiling and bacterial identification by LAP-MALDI MS biotyping'
No full textThis dataset contains raw and processed liquid atmospheric pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry data from thirteen bacterial species, five of which are Gram-positive. For two species, Klebsiella pneumoniae and Escherichia coli, both antibiotic-susceptible and antibiotic-resistant strains were analysed.
The LAP-MALDI workflow enabled antimicrobial resistance profiling, bacterial classification, and further characterisation via MS/MS protein sequencing.
Raw MS/MS protein data were processed using Mascot Distiller (version 2.8.5.1, 64-bit; Matrix Science, London, UK). The resulting protein fragment ion peak lists were submitted to the Mascot MS/MS Ions Search tool (version 3.1; Matrix Science) for protein characterisation and species identification.
The dataset also includes statistical modelling using principal component analysis (PCA), linear discriminant analysis (LDA) and cross-validation results.
All MS and MS/MS data were acquired using a Synapt G2-Si Q-TOF mass spectrometer coupled with a custom-built AP-MALDI source. All data presented were collected between 6 January and 11 February 2025
Dataset supporting research on inter-organisational technology transfer and sustainability performance
Full text linkThis dataset contains survey data collected as part of a research project on inter-organisational technology transfer and sustainability performance. A total of 459 valid responses were gathered from firms across multiple countries, with data provided in both German and English.
The dataset records respondent and organisational characteristics, including language, job position, industry, work experience, headquarters location, firm type, firm size, corporate affiliation, geographical sales market, and state support. It also captures information on technology transfer partners and types, along with responses to measurement items used in the research model.
Data were collected using a structured online questionnaire designed to measure factors relevant to technology transfer and sustainability outcomes. The survey instrument included both categorical and scaled items. Responses were anonymised prior to archiving
Dataset supporting the article 'Core-level binding energies describe electrostatic potentials at nuclei for ionic liquids'
No full textThis compressed file is supplementary to the article cited in the 'Related publication' section found in the README file. Its contents include the input and (some) output files of the ionic liquid [C8C1Im][TfO] studied here computationally. These computational files will allow you to replicate both the Ab Initio Molecular Dynamics (MD) (calculated using CP2K) and the Density Functional Theory (DFT) (calculated using VASP) calculations shown in the article. All XPS experimental data is previously published (as referenced in CONTENTS) and the data for the three other ILs studied computationally is already published as follows: F. K. Towers Tompkins, R. Grau-Crespo and K. R. J. Lovelock, 2024: Dataset supporting the article
'Anion-dependent strength scale of interactions in ionic liquids from x-ray photoelectron spectroscopy, ab initio molecular dynamics, and density functional theory'. University of Reading. Dataset. https://doi.org/10.17864/1947.00131
Characterization and evaluation data from the National Fruit Collection 2025_Apple
No full textData are characterization and evaluation scores and measures collected during the curation of the National Fruit Collection (apple collection). Data were largely collected in line with the published ECPGR Characterization and Evaluation Descriptors for Apple Genetic Resources with additional locally agreed descriptors. The dataset contains scores across 25 traits from 2166 accessions
Ocean stratification impedes particulate transport to the plumes of Enceladus: data and software
No full textThis archive contains all data and software supporting (and required to reproduce) the results of 'Ocean stratification impedes particulate transport to the plumes of Enceladus'.
The Massachusetts Institute of Technology Ocean General Circulation model (MITgcm) is configured for the study of Enceladus - an ice-covered, ocean-bearing moon of Saturn. Simulations are performed in a 2D latitude-depth configuration to investigate the presence of stratification within Enceladus' ocean, and explicitly determine the transport timescale of hydrothermally-derived tracers to Enceladus' south polar ice-ocean interface. Numerical solutions are compared with analytical solutions from a theoretical model.
Included in this archive are:
- Raw outputs from the MITgcm simulations, performed across ranges in ocean mean salinity, effective vertical diffusivity and GM (i.e., eddy) diffusivity, as well as a varied magnitude of freshwater forcing
from the overlying ice shell
- Processed MITgcm outputs used to produce all figures in the main text and supplementary material.
- A copy of the MITgcm version 68q used to produce the raw data.
- Configuration files used to configure the MITgcm for the study of Enceladus. Includes pickup files for one example equilibrated simulation.
- Python scripts used to process the MITgcm raw data and to compute the analytical solutions.
- Python scripts used to produce all figures presented in the main text and supplementary material.
- The conda environment used to successfully run the Python code
Genetic fingerprint (SSR) data from the UK National Fruit Collection Plum collection
No full textData are simple sequence repeat (SSR) genetic fingerprints of the accessions in the plum collection of the National Fruit Collection, Brogdale, UK. The data are called and rounded allele scores, recorded by marker to the nearest base pair.
Data were collected as part of the ongoing curation of the collection, specifically in support of the recent repropagation of the plum collection
Data used in the article 'Oat-based milk alternatives - the influence of physical and chemical properties on the sensory profile' – chapter 2 of thesis
Full text linkThis dataset contains data obtained from Chapter 2 of thesis. Experimental work on the chemical, physical and sensory properties of commercial oat-based milk alternatives.
The data was obtained using a GC-MS, LC-MS, GC-O, Mastersizer, Zetasizer, rheometer, and colorimeter. The sensory analysis data was obtained from trained panellists from MMR Research Worldwide Ltd
Data used in thesis chapter 5: Investigating calcium bioavailability in oat-based milk alternatives with comparison to cow’s milk by measurement of uptake into Caco-2 cells
Full text linkThis dataset contains data from Chapter 5 of Thesis. Obtained from experimental measurements of the concentration calcium within post-digested milk samples, and within cells post-incubation with such samples.
The data was obtained using an ICP-MS, and AAS
Outputs from a questionnaire survey entitled 'Investigation of the inter-relationships between circadian functioning, bedtime procrastination, exercise procrastination, use of social media, depression, and physical activity'
Full text linkQuantitative data generated from an online survey which included closed-question questionnaire measures of: circadian functioning, depressive symptoms, bedtime procrastination, exercise procrastination, use of social media, and physical activity.
The sample was comprised of 517 participants (aged 18-75 years; mean = 24.27, SD = 8.63; 386 females, 109 males, 16 other, 6 prefer not to say)
Outputs from a questionnaire survey study of relationships between eveningness, procrastination, mind wandering, sleep quality, self-control, and depression
Full text linkQuantitative data generated from an online survey which included closed-question questionnaire measures of: morningness-eveningness preference, bedtime procrastination, academic procrastination, exercise procrastination, mind wandering, sleep quality, self-control, and depressive symptoms. The sample comprised 306 University of Reading psychology students (aged 18-51 years; mean = 20.36, SD = 4.001; 34 male)