Dataset supporting: 'AgroEcoList 1.0: A checklist to improve reporting standards in ecological research in agriculture'

These data include responses to an online survey that was made to develop a reporting checklist (AgroEcoList 1.0) for ecological research in agriculture. The survey was to assess the agroecological community’s perception of reporting standards in agroecology and the checklist and 345 participants responded

Data used in the article ‘The effects of processing steps on avenanthramides, avenacosides and β-glucan content during the production of oat-based milk alternatives”

This dataset contains data obtained from Chapter 4 of Thesis. Experimental measurements of the concentration of beta glucan, and compounds avenanthramides and avenacoside a, in oat-based milk samples throughout various stages of production. The data was obtained using a HP LC-MS, and an enzymatic assay followed by spectrophotometer readings, as well solid content measurements. Data processing and preparation activities: Data was collected in Excel files. Different tabs have been assigned for different measurements/figures

Seasonal impact of submesoscale eddies on the ocean heat budget near the sea ice edge: code

Outputs from the MIT General Circulation Model (MITgcm) simulations in a re-entrant channel configuration (75x75 km, 538 m deep, with walls at the northern and southern boundaries and sea ice). This dataset contains all data necessary to reproduce figures and analysis published in Greig et al. (2025, in prep). It includes MITgcm code, input and pick-up files and example outputs to run the four experiments for Arctic and Antarctic summer and winter in both 3D and 2D (y-z dimensions only), to produce outputs from the ocean, sea ice and atmospheric components of the MITgcm

Characterization and evaluation data from the National Fruit Collection 2025_Plum

Data 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

Outputs related to the factors affecting chiropractic student performance

This dataset contains quantitative and qualitative data in relation to chiropractic students from the UK. Data was collected between 2021 and 2022. Four related datasets are presented. The first is quantitative and qualitative data from a national survey of chiropractic students exploring the reasons they chose to study chiropractic. This includes demographic information about participants and narratives relating to their decision to study chiropractic. The second dataset is quantitative data from the student record system for participants from a single cohort of final year chiropractic students in the UK. This data provides demographic information as well as information related to academic achievement over their previous years of study. The third dataset contains qualitative and quantitative data from a survey of final year students from one chiropractic course in the UK. This includes data relating to participant self-perceived motivation to study, time spent in private study, participation in social clubs, working with others, interactions with staff and students and their previous education experiences. The final dataset contains interview transcripts from participants, purposively selected using the data obtained from the student record system and final year participant surveys. These participants were asked about their motivation, study habits, social clubs and previous educational experiences as well as the factors which they felt affected their performance. Data is fully anonymised with pseudonyms used in place of actual names, personal information altered and locations changed

Characterization and evaluation data from the National Fruit Collection 2025_Pear

Data are characterization and evaluation scores and measures collected during the curation of the National Fruit Collection (pear collection). Data were largely collected in line with the published ECPGR Characterization and Evaluation Descriptors for Pear Genetic Resources with additional locally agreed descriptors. The dataset contains scores across 24 traits from 573 accessions

Reversal learning reliability behavioural dataset

This repository contains re-test data for a reversal learning task completed by 150 participants, and associated scripts for the analysis of the reliability of behavioural and computational model parameters. Participants completed 150 trials of the reversal learning task where they were presented with two visually distinguishable abstract stimuli and had to learn through experience which of these two choices were "better". Throughout the task the "better" choice would change, such that the "better" stimulus became the "worse" stimulus and vice versa. This repository also includes the scripts needed to replicate our analysis presented in the associated publication (Williams, B., FitzGibbon, L., Brady, D., & Christakou, A. (2025). Sample size matters when estimating test-retest reliability of behaviour. Behavior Research Methods), including the calculation of reliability metrics, our effects of sample size on variance component simulation, generating plots, and statistical analysis

Dataset to support 'Rapid and accurate biological sex estimation by LAP-MALDI MS analysis of child teeth'

This dataset includes raw and processed data demonstrating the use of a new rapid workflow for estimating the biological sex of human individuals using liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry (MS) and MS/MS analysis of amelogenin peptides. By applying a straightforward classification rule that leverages a panel of MS and MS/MS ion signals, it was also possible to estimate the biological sex of deciduous teeth. All teeth were obtained from a single site (St. Oswald’s Priory, Gloucester, UK) and together with their skeletal remains curated by the Department of Archaeology at the University of Reading. All MS and MS/MS analyses were conducted using a modified Synapt G2-Si (Waters, Wilmslow, UK) equipped with a custom-built atmospheric pressure MALDI source. Raw data were processed with Mascot Distiller (Version 2.8.5.0, 64-bit; Matrix Science, London, UK) for automated peak picking, with each raw data file analysed using three different signal-to-noise ratios (S/N): 2, 10, and 50

Attitudes of parents and teachers towards the inclusion of LGBTQ+ issues within primary schools

This dataset is made up of 166 survey responses from parents and teachers linked to seven primary schools. The survey was conducted online. It gathers data about attitudes towards creating a more LGBTQ+ inclusive environment in primary schools. The data include demographic information, namely sexuality, gender, religious affiliation and whether respondents knew family/friends who were part of the LGBTQ+ community. Participants responded to 20 statements using a five-point scale from ‘strongly agree’ to ‘strongly disagree’ to examine their views on specific issues to do with making the school LGBTQ+ inclusive. There was an open-ended comment box for respondents to add further views

GCSE English language adolescent reading survey

This is the survey, the code book and the primary data collected from a survey of students about their reading habits and their English language GCSE attainment. This data was used as part of a PhD project that examined the language of the English language GCSE exam texts and the challenge that this might present to students. The data from this survey was used to analyse the relationship between students’ English language GCSE attainment and their reading habits