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The collected data of the PhD Thesis of Richards, Nicholas John 2025
This is a dataset of the data generated over the course of the PhD studies of Nicholas John Richards (2020-2024). It includes methods, analysis, figures, and example representative images. Much of the data deposited here are the microscope images in the form of TIFF files alongside the Excel sheets and GraphPad Prizm files that record, statistically analyse, and graph the data involved in the production of the figures of the above-mentioned thesis and published paper which resulted. The figures also included contained in PowerPoints. It is arranged by thesis chapter and experiment or stain performed. The complete methods used are also included in Word documents in a folder named as such.
The thesis by Nicholas John Richards to which this data relates is entitled: “The effects of the venom of the Tarantula spiders Poecilotheria regalis and Thrixopelma pruriens on skeletal muscle damage and nociception.” One paper has been published, this paper is Richards et al (2023), Indian Ornamental Tarantula (Poecilotheria regalis) Venom Affects Myoblast Function and Causes Skeletal Muscle Damage.
It was contributed to by Pradeep Vijaya Kumar (University of Reading, https://orcid.org/0000-0002-9894-2201) who collected the biochemistry data relating to the P. regalis venom (fluorescent PLA2, serine protease and metalloprotease assays) but these were analysed and graphed by Nicholas John Richards. The caseinolytic assays and biochemical assays on T. pruriens venom were performed by Nicholas John Richards.
Adedoyin Balogun (Hull York Medical School) also contributed by taking the images of the F4/80 staining of macrophages, these appeared as supplementary figures. These assay data and images were also later included in my thesis, with credit given, so are also included here. The copyright for the F4/80 images remains with Adedoyin Balogun. In addition, a further, at this time (March 2025) untitled, short communication is being drafted on the topic of nociception caused by the P. regalis venom.
Some data about an unrelated snake venom is the work of Sodiq Adeyemi (SA) (University of Reading, https://orcid.org/0000-0002-7664-7340). It is included because we used the same plate to investigate the caseinolytic activity of the P. regalis and the Bitis arietans Puff Adder snake. To avoid edits to the files and changes to the date modified this is also included
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
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
Simulations with the sea ice model CICE exploring changes to freezing, melting, and dynamics of the Arctic sea ice as it transitions to a more marginal state
This dataset has been produced using a CPOM (Centre for Polar Observation and Modelling) version of the Los Alamos Sea Ice model v 5.1.2, with additional physics including form drag, a prognostic ocean mixed layer, and floe size distribution model. This dataset is used within the associated paper ‘Toward a marginal Arctic sea ice cover: changes to freezing, melting and dynamics’ (Frew et al., 2025) to investigate how processes that drive either the loss or gain of sea ice volume will change as the summer Arctic transitions from majority pack ice in the 1980s to majority marginal ice zone (MIZ) in the 2040s. Results are presented to show a different balance of processes control the volume budget of the MIZ compared to the pack ice. It is also demonstrated that the balance of processes is different for the future MIZ compared to the historical MIZ
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
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
Dataset supporting the article 'Zinc depletion at the ZnFe2O4 (111) single crystal surface: X-ray spectroscopy experiments and computer simulations'
This is the data set associated with the article 'Zinc depletion at the ZnFe2O3 (111) single crystal surface: X-ray spectroscopy experiments and computer simulations'. The contents are split into sections: experimental and computational. The experimental section contains data collected by the following methods: X-ray photoelectron spectroscopy (XPS), X-ray absorption spectroscopy (XAS), and scanning tunnelling microscopy (STM). The calculations section includes data collected using Density Functional Theory (DFT). Most of the data has been uploaded in the form of plain text files, except the STM data which is uploaded as both a .png file and a .sm file (which can be opened using free STM processing software such as Gwyddion - https://gwyddion.net)
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
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)
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