398 research outputs found
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Data for investigating the effects of high-protein diets on microbiota, gut barrier function, and mucosal immunity, with a focus on potential sex-dependent differences.
No full textThe data was produced from conducting a feeding trial using male and female 21-day-old piglets as models for humans, comparing high protein (28% dietary protein) and standard protein (18% dietary protein) diets for 4 weeks. The differences in protein intake came from soya, pea, whey and fish proteins. At day 0, faecal microbiota, size, weight, and blood were recorded or taken. At the end of the feeding period (day 52), faeces, urine and colon tissue samples were taken for analysis. Each week the length of the piglets was measured, and every half-week the weight was measured. The data includes microbiota compositions, urinary metabolite concentrations, quantified protein expression of gut barrier function proteins and mucosal immune system associated protein. The code used for the statistical analysis of the data is also included
Charge emission data from 2023 Al Ain Campaign
Get PDFA charge releasing device was flown on a crewed cloud-seeding aircraft during a campaign of preliminary test experiments over the United Arab Emirates, in August and September 2023. The flights were made from Al Ain airport. Internal logging data from the device are provided here, obtained during the brief bursts of operation at the surface and aloft
Data supporting a paper on the use of institutional data for statistical matching methods, using an example of enrolment in an optional transition course
No full textAnonymised data listing student who have or have not enrolled in an optional transition course, alongside selected demographic characteristics, in binary values, and whether they passed year 1 or not at a case-study university. There are 10 variables for 24,411 students, between 2017/18 and 2022/23. These data are used to demonstrate the potential value of institutional data for statistical matching methods (propensity score matching and doubly robust estimation) in higher education evaluation
Simulations with the ocean - sea ice model NEMOv3.6 and CICEv5.1 to study the impact of internal wave drag.
Get PDFA parameterization of the impact of internal waves on momentum transfer at the sea ice-ocean interface based on previous work by McPhee, has been implemented in a sea ice model for the first time. The ice-ocean drag from internal waves is relevant for shallow mixed layer depth and the presence of a density jump at the pycnocline and is also a function of the strength of the stratification beneath the ocean mixed layer and geometry of the ice interface.
We present results from a coupled sea ice-ocean model where the parameterization of internal wave drag has been implemented. A full description of model setup is provided in Flocco et al. (Annals of Glaciology, 2024)
Dataset supporting the article 'Transformer-decoder GPT models for generating virtual screening libraries of HMGCR inhibitors: effects of temperature, prompt-length and transfer-learning strategies'
No full textRaw data for virtual screeing libraries generated by a generative, pre-trained transformer-decoder model. Models were pre-trained on a general drug database from ZINC15, and fine-tuned on inhibitors of HMGCR from ChEMBL. Libraries used different transfer-learning strategies, different prompt-lengths and different temperatures. The resultant libraries were screened against a deep neural network trained on experimental HMGCR IC50 values to predict IC50 values, docking scores from Autodock Vina, quantitative estimate of drug-likeness, Tanimoto similarity to known statin drugs, and other properties. This dataset contains tables of properties as well as CSV files with the generated libraries, a TKinter-based GUI to interacting with the library, and docking poses for selected molecules
A botanist’s perspective on invasive ornamental plants: supporting data for research involving Botanical Society of Britain and Ireland (BSBI) vice-county recorders exploring invasive species
No full textSupporting data associated with an online survey of Botanical Society of Britain and Ireland (BSBI) vice-county recorders.
The aim of this research was to: 1) explore attitudes of botanists towards ornamentals; and 2) gather information on which ornamentals are considered invasive and - more importantly - of increasing concern (i.e. potentially invasive species) in each vice county in Britain and Ireland. This online survey was approved by the Ethics Committee of the School of Biological Sciences at the University of Reading (reference number SBS 17-18 11) and hosted on Jisc Online Surveys.
Section A of the survey measured general attitudes towards ornamental plants in Britain and Ireland and Section B focused on ornamental plants in each individual vice county and recorders were asked to list the ‘top five’ invasive garden plants and the ‘top five’ of increasing concern.
The survey and the full analysed list of taxa reported by the vice-county recorders [n = 35] are included.
This forms supporting data for chapter 2 of PhD thesis: 'Ornamental plants: our future invaders? Engaging with gardeners to tackle the issue of invasive species'
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.
- 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
Diagnostics from CMIP6, atmospheric reanalyses, and passive-microwave observations used to examine the impact of ocean heat transport on Arctic and Antarctic sea ice
Get PDFVarious geophysical diagnostics calculated from model output obtained from the Coupled Model Intercomparison Project phase 6 (CMIP6), for pre-industrial control, historical, SSP3-7.0, and SSP5-8.5 simulations of 20 climate models. Diagnostics include monthly-mean sea ice area, extent, and sea ice-edge latitude, annual ocean and atmospheric meridional energy transports, and annual polar-cap averages of ocean heat content, near surface air temperature, and atmospheric vertical heat fluxes. Analogous sea ice diagnostics from passive-microwave observations, and surface temperature diagnostics from atmospheric reanalysis products (CFSR, CFSv2, ERA5, JRA-55, and MERRA-2), are also included
Elitist Genetic Algorithm (EGA)-based Energy Storage System (ESS)-facilitated Heavy Good Electric Vehicle (HGEV) charging station designer
No full textThis solution leverages an Elitist Genetic Algorithm (EGA) to tackle interconnected challenges in the Energy Storage System (ESS) design and demand-side management, particularly focusing on battery scheduling. It addresses these concerns simultaneously for diverse styles of Heavy Goods Electrical Vehicle (HGEV) Depots and on-route charging stations. The ESS design encompasses considerations like battery capacity and power electronic board rating power, while demand-side management involves a series of battery charging/discharging power scheduling within the evaluation time window
Log Cabin Republicans 2013-2021 Twitter Database
No full textThe dataset used for the PhD Research of Thomas Newton, Student No. 22007843 at the University of Reading, 2019-2024.
A dataset formed of 1300 Tweets by the Log Cabin Republicans, sent over the 2nd term of Barack Obama and the subsequent Trump administration. Used as part of a PhD demonstrating the increasing far right beliefs of this organisation.
Dataset contains a document containing Tweet IDs and an Excel Sheet of Quantitative Data