Data supporting: 'Anhedonia and its sub-component processes predict clinically significant symptoms of major depressive disorder (MDD) and loneliness in young people'

Anhedonia, a core symptom of depression, refers to the reduced interest or pleasure in experiences that are typically rewarding. It is considered a significant risk factor for future depressive episodes and is associated with social withdrawal, which can lead to loneliness—another risk factor for depression. The aim of this study was to examine how anhedonia and its subcomponents relate to depression and loneliness symptoms in young people over time. A total of 275 young people (ages 17–25, M = 20.50), with a range of depressive symptoms (assessed using the Mood and Feelings Questionnaire [MFQ]), were recruited from local schools and the student population through the School of Psychology research panel, online advertisements, and posters. Participants completed assessments on depressive symptoms, anhedonia, and loneliness at baseline and at a four-month follow-up. A total of 173 participants provided follow-up data. Multiple regression analyses were conducted to examine the relationships between anhedonia and its subcomponents, and depressive symptoms and loneliness, both cross-sectionally and longitudinally. Participants were reimbursed for their time and effort by being entered into a draw for a £50 Amazon voucher after completing the first survey. Participants who consented to participate in the follow-up phase were entered into a further draw for one of five £50 Amazon vouchers. A total of 103 participants could not be contacted for follow-up, had discontinued the study, or provided incomplete data. Our findings confirm the association between anhedonia and both depression and loneliness. We highlight the important role of anhedonia and its subcomponents in predicting both clinical depression and loneliness, supporting theoretical models that emphasize the centrality of anhedonia in these mental health outcomes. By using both cross-sectional and longitudinal data, we demonstrate that anhedonia’s impact on clinical depression and loneliness persists over time. Future research should continue to explore the nuanced role of anhedonia in youth mental health, particularly its differential impact across various subcomponent processes

Characterization and evaluation data from the National Fruit Collection 2025_Apple

Data 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

North Atlantic polar low tracks from September 2008 to May 2009 from WRF simulations at 50, 25 and 12.5 km grid spacings

This dataset contains: 1. The model configuration files of three simulations conducted with the Advanced Research Weather Research and Forecasting (WRF) Model with 50, 25 and 12.5 km grid spacings. The domain is the North Atlantic and the period covered is 2008-09 to 2009-05. 2. The tracks of polar lows in each simulation. 3. Statistics of the characteristics of the polar low tracks and associated fields

Outputs from a questionnaire survey entitled ‘Investigation of the inter-relationships between circadian functioning, mindfulness, sleep quality, depression, bedtime procrastination, and skipping breakfast’

Quantitative data generated from an online survey which included closed-question questionnaire measures of: circadian functioning, mindfulness, sleep quality, depressive symptoms, bedtime procrastination, and skipping breakfast. The sample was comprised of 219 participants (aged 18-89 years; mean = 26.22, SD = 14.08; 158 females, 54 males, 7 other)

Data supporting the article: Variability in sodium content of takeaway foods: implications for public health and nutrition policy

Sodium 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

L2 listening development within an informal digital learning of English listening (IDLEL) context

This dataset first includes questionnaire data collected from Chinese undergraduate EFL learners (aged 18-21) on self-regulated L2 listening (N = 523), listening anxiety (N = 427), and listening self-efficacy (N = 435). These data were used to conduct confirmatory factor analyses (CFA) to validate the latent constructs of the three questionnaires. Additionally, to explore the relationships among self-regulation, self-efficacy, listening anxiety, L2 listening proficiency, and IDLEL engagement (i.e., frequency, duration, diversity, and strategy use), another group of English-major EFL learners (N= 130, aged 18-20) were recruited. The collected data includes: 1) participants’ L2 listening proficiency, assessed through listening comprehension tests administered at the pretest (Week 1, N = 130), post-test (Week 6, N = 91), and delayed post-test (Week 19, N = 60); 2) participants’ pretest (N = 130) and post-test (N = 91) responses to Likert-scale questionnaire items on listening self-regulation, listening anxiety, and listening self-efficacy; 3) participants’ weekly (N = 91)records in E-logs from Week 2 to Week 5, documenting the diversity, frequency, and duration of their engagement in IDLEL activities, as well as the strategies used during those activities

Dataset supporting the article 'Determining structure and Zn-specific Lewis acid-base descriptors for diorganozincs in non-coordinating solvents using X-ray spectroscopy'

Dataset containing: (1) experimental X-ray spectroscopy data (HERFD-XANES and R-/NR-VtC-XES) of multiple organozinc samples studied in .dat format which can be accessed using any text editor of choice. (2) Calculated density functional theory output files (TD-DFT and KS-XES

Dataset and R code associated with the manuscript "Biological traits predict ability of British wild bees to fill their climate envelopes"

This dataset contains biological traits and range filling metrics of 64 species of wild bee, as well as R code used to reproduce the results presented in the manuscript 'Biological traits predict ability of British wild bees to fill their climate envelopes'. It contains bee presence data, climate envelope size, and life history traits (body size, habitat breadth, pollen foraging specialization (lecty), and overwintering stage). Climate envelopes were developed in Wyver, C., Potts, S.G., Edwards, M., Edwards, R. and Senapathi, D., 2023. Spatio‐temporal shifts in British wild bees in response to changing climate. Ecology and Evolution, 13(11), p.e10705

Reflections on the journey towards outstanding: developing positive orientations to diversity in an urban primary school

The data are three interviews with staff members of a primary school which had moved from OFSTED requires improvement to OFSTED outstanding grading between 2019 and 2023

Dataset supporting the article 'Variable-temperature token sampling in decoder-GPT molecule-generation can produce more robust and potent virtual screening libraries'

Raw data for virtual screeing libraries generated by a generative, pre-trained transformer-decoder model using variable temperature decoding. In this scheme, various temperature ramps are used during the generation process, such that each token could have a different generation temperature. The model used for this is described in our previous work: DOI: 10.1021/acs.jcim.4c01309