398 research outputs found
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Dataset and R Code supporting results from 'Biological traits predict ability of British wild bees to occupy their climate envelopes'
This dataset contains number of records, size of climate envelopes, range filling abilities and biological traits used to produce analysis in the manuscript "Biological traits predict ability of British wild bees to occupy their climate envelopes"
This data is derived from presence-only bee observations provided by the Bees, Wasps and Ants Recording Society (BWARS - www.bwars.com)
Data on the presence or absence of at least one geotagged Wikipedia page and/or Flickr photo, for designated areas in England
Presence or absence of at least one geotagged Wikipedia page and/or at least one Flickr photo in designated areas in England. There is also information on various characteristics of each designated area (the size of the designated area, population density, distance to the closest urban centre, species richness, maximum height of the landscape in the designated area, coastal location (T/F), waterbody present (T/F), river in the designated area (T/F) and number of public transport links in the designated area)
Perceptions of just agricultural transitions in England,2022
This dataset contains the results of a survey that was conducted through a Qualtrics panel of the English adult population during the period January-April 2022. The survey is the first in its kind in taking a psychometric approach to assessing justice perceptions related to agricultural transitions. The aim was to develop and test a practical tool that can be used to examine perceptions of a just transition in the agricultural context and that can support governments to inform their governance of agricultural sustainability transitions.
We aimed to collect a representative sample with a sample size of N=400, taking account of age, gender, education, income, and distribution across England. Attempted responses were terminated when a quota in a certain group (gender, age, education level, geographical location, income) was met, when the respondent was younger than 18, or when they were speeding through the survey to such an extent that it would not be possible to read the questions in the used timeframe. Further responses were excluded based on duplication, straight lining, or partial response. The survey was live collecting responses until a representative sample of N=400 was reached
Data used in the article 'Effect of fat replacement with HPMC and lecithin stabilised nanoemulsion on the physical characteristics and sensory attributes of short dough biscuits'
This dataset contains data obtained from experimental work on the application of a complex nanoemulsion (CNE) made of extra virgin olive oil and stabilised with hydroxypropyl methylcellulose (HPMC) and lecithin on short-dough biscuits. Four dough and biscuit formulations were evaluated including a control (butter), three formulations where 33% of the butter was replaced with extra virgin olive oil (EVOO), with CNE, and with the individual ingredient of the nanoemulsion added separately (INE). Data was obtained using a texture analyser (dough hardness, biscuit fracture strength and the fracturability, and oil migration), moisture balance (biscuit moisture), water activity meter (biscuit water activity), oven (weight loss during baking), digital calliper (biscuit dimensions), Confocal Laser Scanning Microscopy and Scanning Electron Microscopy (dough and biscuit microstructure), and quantitative descriptive sensory analysis with a trained sensory panel (sensory profiling of the biscuits)
Dataset supporting the article 'Climate-driven phenological shifts in emergence dates of British bees'
This dataset contains estimates of emergence dates for 88 species of British bees from 1980-2019, and R script to reproduce the results from the manuscript 'Climate-driven phenological shifts in emergence dates of British bees'.
This data is derived from presence-only bee observations provided by the Bees, Wasps and Ants Recording Society (BWARS - www.bwars.com), and temperature data from the E-Obs project
Measurements from the Reading University Atmospheric Observatory, 1997-2023
This dataset contains surface meteorological measurements generated by recording instruments operated at the University of Reading Atmospheric Observatory, from 1997 to 2023. Multiple logging systems were developed during this time and used to obtain the meteorological and other associated measurements with accurate time synchronisation. The datafiles provided use a consistent format throughout the interval concerned, with 5-minute average values generated from 1 second samples
Computer code for 'Ecological determinants of Cope's rule and its inverse'
This dataset includes a computer code written in MATLAB required to run the eco-evolutionary model with two adaptive traits presented in Roy et al. (2023, Communications Biology). The code includes an executable programme, and four MATLAB subroutines that need to be called in within the programme to run the model. This code can be adapted to generate the evolutionary trajectories and outcome of the model under user-defined parameter combinations and scenarios described in details in Roy et al. (2023)
Inter-rater reliability of functional MRI data quality control assessments dataset
This dataset contains rating information from four raters who reviewed the quality of functional magnetic resonance imaging (fMRI) datasets. These data were task-based and resting state fMRI data that were included in part of the fMRI Open QC Project [1], which aimed to showcase examples of QC practices across institutions and to foster discussions within the field.
Raters made quality control decisions based on output generated by the python package, pyfMRIqc [2], which generates user friendly reports to aid decision making on the quality of fMRI data. Raters classified data using one of the three following criteria: Include, Uncertain, Exclude, based on guidance provided by a protocol included in the publication. Raters also provided notes describing their decision making for uncertain or exclude cases. A summary of the majority decision of all four raters is also included in this dataset for each subject.
The reports generated by pyfMRIqc can be found externally on GitHub [3]
Eruca vesicaria subsp. sativa RNA-SEQ gene expression and annotation
This data file contains the full gene expression values (fpkm) of 121 Eruca vesicaria subsp. sativa samples, obtained by RNAseq (performed by Novogene UK Ltd., Cambridge, UK). Plants were grown in two field trials, one in Rome, Italy, and the other in Dorchester, UK. Six E. vesicaria cultivars were sampled across two consecutive harvests (first and second cut) two weeks apart, and again across two shelf life time points (D0 and D5). The file contains expression values for 49,487 genes, their relative positions on the E. vesicaria reference genome (https://www.ncbi.nlm.nih.gov/bioproject/PRJEB50993), their strand orientation, length, and annotation
Dataset for an ab initio study of the selectivity of dopamine and other ligands for various dopamine-related enzymes
Interaction energy calculations between the ligands dopamine, L-DOPA, paracetamol, NAPQI, 3-hydroxyparacetamol, phenylalanine, tyrosine, DOPAL, DOPAC, 3-methoxytyramine and homovanilin with the active sites of the enzymes phenylalanine hydroxylase, tyrosine hydroxylase, DOPA decarboxylase, tyrosinase, COMT, MAO, ALDH, and SULT. These calculations performed with M062X/6-31G//M062X/6-311+G*. Also included are desolvation energy calculations for all ligands named here using M062X/cc-pvdz, as well as benchmark MP2 calculations of dopamine and paracetamol with the SULT active site. All calculations performed using Gaussian 16. Complete and raw data for manuscript 'Ab initio study of the selectivity of Dopamine, L-DOPA, Paracetamol and its metabolite NAPQI for various enzymes associated with biosynthesis and metabolism of Dopamine,' by Harle, Slater and Cafiero