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Determinants of wellbeing in students
No full textQuantitative survey data collected by a group of students on the MSc Psychology of Mental Health Conversion programme in 2024/25. Contains a number of determinants of wellbeing in students, alongside demographics and the PERMA-profiler measure of wellbeing. University students aged 18-30 were recruited from across the world, predominantly UK and Ireland and North America but with representation from most other continents.
Each of the three students put forward measures for inclusion and wrote up the results independently of one another. Two of the subsequent dissertations are being submitted for publication (Boylan et al and Frankenfield et al) and these two data sets will be deposited here
SSD_AMC_Open-set_CODE
No full textAbstract: Increased crowding on the radio frequency spectrum has resulted in a greater risk of radar interference, creating the demand for cognitive radars that can dynamically adapt to avoid interference. A technique that benefits cognitive radar performance is automatic modulation classification, which is the task of identifying the modulation scheme used to encode received digital communications without prior knowledge. Current approaches fail to address the challenges of wideband radio frequency environments that simultaneously contain multiple transmitters and previously unseen modulation schemes. To address the issue of numerous transmitters, this research proposes a novel singleshot detector architecture for detecting and classifying radio frequency communications in a single forward pass through the model. The second issue of previously unseen modulation schemes is also addressed through the incorporation of open-set recognition. The results demonstrate that the proposed model achieves high accuracy in detection, classification, and open-set recognition. This research helps adapt automatic modulation classification to more realistic scenarios by addressing the joint detection and classification in wideband operation with previously unseen modulation schemes. In turn, this framework can improve the performance of downstream tasks such as spectrum sensing for cognitive rada
Disrupting Understandings of Disruptive Behaviour
No full textThis DataShare item relates to a qualitative study funded by the Spencer Foundation, titled ‘Disrupting Understandings of Disruptive Behaviour’. The study sought to investigate the school experiences of pupils who had been receiving support at school before COVID-19 to help them manage their behaviour in school.
The aim was to investigate whether, as the literature below would predict, some aspects of education under lockdown were experienced positively by pupils with a history of disruptive behaviour (PHDB), and to work with families and schools in Scotland to identify ways in which these positive aspects may be replicated in the post COVID classroom
Major element zonation following rapid heating of homogeneous glass in wire-loop experiments_full dataset
No full textData used for the publication "Major element zonation following rapid heating of homogeneous glass in wire-loop experiments" [https://doi.org/10.1016/j.chemer.2025.126383]. Data obtained as part of a systematic investigation of magmatic degassing process in analogue lunar magma, funded by the Leverhulme Trust through Research Project Grant RPG-2021-015, and the Carnegie Trust through PhD Scholarship award PHD01069
Species diversity and risk factors of gastrointestinal nematodes in smallholder dairy calves in Kenya
No full textGastrointestinal nematodes (GIN) are of major concern in dairy farming, particularly
in smallholder systems, because of their impact on the health of the calves and
later on their productivity. These infections often occur as co-infections, which
can complicate their prevention and treatment. The aim of this study was to
conduct fecal egg counts (FEC), genetically identify GIN species, assess species
diversity, and identify associated risk factors for GIN infections in dairy calves.
Fecal samples were collected from 532 dairy calves across 289 small holder dairy
farms. Species identification was achieved through deep amplicon sequencing of
the Internal Transcribed Spacer-2 rDNA locus (ITS-2) of first-stage larvae (L1). The
mean eggs per gram (EPG) was 62.0 ± 93.0. Most of the calves 64.2% had lowintensity
infections (<50 EPG), 28.6% had medium-intensity infections (50–200 EPG),
and 7.2% had high-intensity infections (>200 EPG). Next Generation Sequencing
analysis identified nine GIN species, with Cooperia punctata (27.8%), Haemonchus
placei (26.3%), and Haemonchus contortus (23.6%) being the most prevalent.
Co-infections were common, accounting for 69.5% of all infections, with two
(40.1%), three (26.9%), and four-species combinations (19.8%) predominating. Male
calves showed a significant association with both increased FEC and smaller heart
girth, while FEC decreased with age. H. placei and C. punctata were associated
with increased FEC, whereas Ostertagia ostertagi (14.5%) and Trichostrongylus
colubriformis (8.0%) were associated with decreased heart girth. Calves managed
under pasture systems had higher odds of co-infection. This study reveals that GIN
infections are highly prevalent in dairy calves, with co-infections being common,
and that GIN burden is significantly influenced by calf age, sex, and management
system. The Nemabiome tool offers a promising approach to assessing GIN burden
and guiding the selection of anthelmintic protocols as part of sustainable farming
strategies in tropical regions.This dataset is the test results from 579 calves sampled as part of a larger study on smallholder dairy cattle in Kenya. The data capture the key animal features such as age sex etc plus the results of screening for gastrointestinal nematodes using the nemabiome tool (a sequence based unbiased tool)
Climate change increases ammonia emissions, reducing the efficacy of mitigation actions (AMCLIM modelling results)
No full textTemperature sensitivity of agricultural ammonia emissions modelled by the AMCLIM model. Projected agricultural ammonia emissions in 2041-2050 and 2091-2100 under four different shared socio-economic pathways (SSPs): SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.
Mitigation of agricultural ammonia emissions for the year 2010. Base run results are deposited under:
https://datashare.ed.ac.uk/handle/10283/8753
https://datashare.ed.ac.uk/handle/10283/895
A pedagogical research on use of an online learning platform by final year medical students on under five pneumonia
No full textAn online portal was developed for final year medical students from five medical universities in Rawalpindi and Islamabad cities of Pakistan on case management of under-five pneumonia. This was a 6 month intervention which had a pre and post intervention survey
Trypanocide resistance in Uganda
No full textThe dataset are quantitative observations from a survey conducted in Uganda among 557 dairy farmers in 8 districts of southwestern Uganda. The communities are characterized by a high antimicrobial consumption rate although quantitative evidence was lacking through a search of any available scholarly resources. Entries are on farm structure, livestock densities, and income earned from livestock sales and associated expenditures. We subsequently assess farmer knowledge, opinions and practices on trypanocide usage within the community and entries are recorded as categories. Columns describing scores were made on a scale of 1-5 with 1 being the lowest and 5 the highest. This was done with the goal of quantifying the severity of the previous response
Data Stories dataset 2020-2022
No full textFictional stories in text and image form, submitted anonymously through a research project web site and inspired by prompts designed to explore possible surveillance futures in higher education. The stories include educational settings, characters, technologies, processes and wider social and political contexts
Chemical tuning of a double-double perovskite oxide
No full textData are for the publication 'Chemical tuning of a double-double perovskite oxide' by
Azizah Almadhi, Sean D. Injac, Kunlang Ji, Clemens Ritter, and J. Paul Attfield.
Abstract:
The feasibility of chemical doping of a double double perovskite (DDPv) is demonstrated by LaxCa1-xMnMnReO6 solid solutions in which cation-site ordering is preserved to x ≥ 0.5 while La3+/Ca2+ substitution at one site tunes magnetic properties. Each of the ~20 DDPv’s discovered by high pressure synthesis in recent years is thus a starting point for chemical tuning to discover and tune electronic and magnetic properties.See README file