398 research outputs found
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The SPECIAL Modern Pollen Data Set for Climate Reconstructions, version 3 (SMPDSv3)
Full text linkThis dataset includes counts for 5,012 pollen taxa from modern samples collected worldwide, accompanied by detailed metadata for each site and entity. It is intended to support quantitative reconstructions of past climate and vegetation
Training session transcripts of the participants
Full text linkThe dataset consists of training session transcripts from five autistic participants. These participants were involved in a qualitative study exploring the impact of self-reflective practice on the behaviour of autistic students in the classroom. Each participant has between 4 and 9 transcripts, which were utilised to document their reflections. This is detailed in the methodology section of the Thesis
Data supporting: 'Anhedonia and its sub-component processes predict clinically significant symptoms of major depressive disorder (MDD) and loneliness in young people'
No full textAnhedonia, 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
GCSE English language adolescent reading survey
Full text linkThis 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
Dataset supporting the article 'Variable-temperature token sampling in decoder-GPT molecule-generation can produce more robust and potent virtual screening libraries'
No full textRaw 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
The Solar Stormwatch II CME classifications
No full textThis datafile is the raw output from the Solar Stormwatch II citizen science experiment that was developed and hosted on the Zooniverse platform.
This experiment asked citizen scientists to identify the leading edges of Coronal Mass Ejections in data from the Heliospheric Imager instruments on NASA's STEREO Mission
Outputs from a questionnaire survey study entitled 'Validating an English-language version of a questionnaire measuring morningness-eveningness, morning alertness, and daily variations in functioning'
Full text linkQuantitative data generated from an online survey which included closed-question questionnaire measures of: circadian functioning, personality, depressive symptoms, sleep quality and duration, and sleep inertia.
The sample comprised 600 adults from an online recruitment platform (aged 18-78, mean = 41.31, SD = 13.149)
A case study of university students who took part in a multi-intervention outreach and mentoring initiative at school
Full text linkInterview data collected as part of a pilot study to better understand the experiences of university students who took part in a multi-intervention outreach and mentoring initiative at school (n = 12 student interviews)
Vocabulary learning through multimodal input
Full text linkThe dataset consists of second language learning data from 41 French learners of English (aged 11 to 12) at two time points. At Time 1, quantitative data were collected through a French vocabulary size test, a target vocabulary pre-test, and a phonological short-term memory test. At Time 2, quantitative eye-tracking data included average dwell time, average number of fixations, and average fixation duration for two types of Areas of Interest: one for non-verbal information and the other for verbal information. Additionally, quantitative test data were collected from a vocabulary post-test and a comprehension test
Dataset supporting the article 'Accurate prediction of ionic liquid density-of-states from low-cost calculations'
No full textThis compressed file is supplementary to the article cited in the 'Related publication' section below. Its contents are the output files of all the ionic liquids studied computationally. These computational files will allow you to replicate the Density Functional Theory (DFT) calculations using Gaussian 16 shown in the article