25 Works

SNP genotypes for healthy and CIM-affected GSDs

Leigh Anne Clark, Sarah Bell, Jacquelyn Evans, Katy Evans, Kate Tsai, Rooksana Noorai, Thomas Famula & Dolores Holle
German shepherd dogs (GSDs) are predisposed to an inherited motility disorder of the esophagus, termed congenital idiopathic megaesophagus (CIM), in which swallowing is ineffective and the esophagus is enlarged. Affected puppies are unable to properly pass food into their stomachs and consequently regurgitate their meals and show a failure to thrive, often leading to euthanasia. Here, we generated genome-wide SNP profiles for healthy and CIM-affected GSDs using the Illumina CanineHD BeadChip, containing 220,853 SNPs.

Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution

Eva L Koch, Mark Ravinet, Anja M Westram, Kerstin Johannesson & Roger K. Butlin
Chromosomal inversions have been shown to play a major role in local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct...

AI3SD video: AI4SD & IoFT AI for ethics working group: introducing the working group & our methodologies: moral IT cards & design fiction.

Samantha Kanza, Naomi Jacobs & Peter Craigon
Our Ethics for AI Working group was born out of a meeting held by the Internet of Food Things Network just before the pandemic to consider research challenges for developing a data trust system for the food sector. Our group came together through a shared interest in Ethics, and formed a working group to consider the ethical dimensions of digital collaboration in the food sector, such as the unintended consequence of AI. We have run...

Professor Alan Clarke (1956-2021)

Kevin A. Griffin, Melanie Smith, Peter Wiltshier, Ágnes Raffay, Nicola Macleod, Allan Jepson, Raoul Bianchi & Scott McCabe

Response to the call for evidence on The right to privacy: digital data

Derek McAuley, Anna-Maria Piskopani, Virginia Portillo, Helena Webb & Hanne Wagner

The Centre for Rehabilitation and Ageing Research in Nottingham and Derby 2022. Excellence in care through world class research

John Gladman, Pip Logan, Adam Gordon, Rowan Harwood, Sarah Goldberg & Kathryn Radford

Woodhill. A short film

Philippa Tomczak, Gill Buck & Matt Woodhead

NIHR Nottingham Biomedical Research Centre (BRC) Musculoskeletal theme: virtual conference proceedings 24th & 25th February 2022

John Gladman, Mathew Piasecki & Kate Frost

Prisoner death investigations: improving safety in prisons and societies? : summary of findings

Philippa Tomczak & Rebecca Banwell-Moore

Response to the Government’s ‘Data: A New Direction’ Consultation

Jiahong Chen, Edward Dove, Lilian Edwards, Ansgar Koene, Derek McAuley , Anna-Maria Piskopani & Lachlan Urquhart

Water chemistry from the Red River Delta, Vietnam, 2018 to 2020

S. McGowan & J. Salgado
The dataset contains physical, chemical and biological measurements from the waters of 21 river sites across the Red River Delta in northern Vietnam. The data were collected monthly between February 2018 and January 2020. The parameters include temperature, dissolved oxygen, salinity, pH, turbidity, conductivity, total dissolved solids, dissolved nitrate, dissolved nitrite, dissolved ammonium, total nitrogen, dissolved phosphate, dissolved silicate, alkalinity, dissolved major ions (sodium, magnesium, potassium, calcium, chloride, sulphate) and a range of chlorophyll and...

AI3SD Video: Making sense of highly flexible molecular simulations: Where AI can help and where not

Christof Jäger
With simulating the dynamic behaviour of ever bigger molecular systems for longer simulation time we simultaneously achieve more realistic timescales and gain much better insights into the physiological relevant time dependent behaviour of molecular systems, but also generate significantly more data and thus pose new challenges for filtering noise and analysing the simulation data. In simulation analysis and data dimensionality reduction we often rely on linear dependencies and behaviour within the simulated timespan. This generally...

Response to the Open Consultation Call : Audience protection standards on Video-on-Demand Services

Neelima Sailaja, Derek McAuley & Helena Webb

Personality and predictability in farmed calves using movement and space-use behaviours quantified by Ultra-wideband sensors

Francesca Occhiuto
Individuals within a population often show consistent between individual differences in their average behavioral expression (personality), and consistent differences in their within-individual variability of behavior around the mean (predictability). Where correlations between different personality traits and/or the predictability of traits exist, these represent behavioral or predictability syndromes. In wild populations, behavioral syndromes have consequences for individual’s survival and reproduction and affect the structure and functioning of groups and populations. The consequences of behavioral syndromes for...

Dataset for ‘Serial Small- and Wide-Angle X-ray Scattering with Laboratory Sources’

Mark Levenstein, Karen Robertson, Thomas Turner, Liam Hunter, Cate O’Brien, Cedrick O'Shaughnessy, Alexander Kulak, Pierre Le Magueres, Jakub Wojciechowski, Oleksandr Mykhaylyk, Nikil Kapur & Fiona Meldrum
This dataset contains measurements used in the paper, ‘Serial Small- and Wide-Angle X-ray Scattering with Laboratory Sources' from the journal, IUCrJ (doi: 10.1107/S2052252522007631). Included are the raw SAXS, WAXS, and XRD patterns used in the evaluation of different samples, sample environments, and X-ray scattering instruments. From these data, the authors determined that it is feasible to perform serial SAXS/WAXS analysis of materials using laboratory X-ray sources with the aid of micro- and milli-fluidic sample environments.

Data on immunological expression and phenotypes in a natural population of field voles in Kielder Forest, UK 2015-2017

S. Paterson, J. Jackson, I. Jackson, J. Bradley, M. Begon, K. Wanelik & C. Taylor
Data comprise morphometric measurements, sex determination, maturity and immunological analysis of blood pathogens from wild field voles (Microtus agrestis) in Kielder Forest, Northumberland, UK in 2015-17.

Data from: Epigenetic potential and DNA methylation in an ongoing House Sparrow (Passer domesticus) range expansion

Haley E Hanson, Chengqi Wang, Aaron W Schrey, Andrea L Liebl, Mark Ravinet, Rays H Y Jiang & Lynn B Martin
During range expansions, organisms can use epigenetic mechanisms to adjust to conditions in novel areas by altering gene expression and enabling phenotypic plasticity. Here, we predicted that the number of CpG sites within the genome, one form of epigenetic potential, would be important for successful range expansions because DNA methylation can modulate gene expression, and consequently plasticity. We asked how the number of CpG sites and DNA methylation varied across five locations in the ~70...

Dataframe from: Diversity of European habitat types is correlated with geography more than climate and human pressure

Marco Cervellini, Michele Di Musciano, Piero Zannini, Simone Fattorini, Borja Jiménez-Alfaro, Emiliano Agrillo, Fabio Attorre, Pierangela Angelini, Carl Beierkuhnlein, Laura Casella, Richard Field, Jan-Christopher Fischer, Piero Genovesi, Samuel Hoffmann, Severin D.H. Irl, Juri Nascimbene, Duccio Rocchini, Manuel Steinbauer, Ole R. Vetaas & Alessandro Chiarucci
We generated this dataframe to model EU habitat richness at continental scale as a function of geographical, climate and anthropogenic variables (please, see Material and Method section in the published paper version for all the details). We found geographical variables were by far the most strongly correlated with habitat richness, followed by climate. However, anthropogenic variables gained importance when consindering their interactions, with important implications for conservation planning.

Predictors of genomic differentiation within a hybrid taxon

Angelica Cuevas, Fabrice Eroukhmanoff, Mark Ravinet, Glenn-Peter Sætre & Anna Runemark
Hybridization is increasingly recognized as an important evolutionary force. Novel genetic methods now enable us to address how the genomes of parental species are combined in hybrid lineages. However, we still do not know the relative importance of admixed proportions, genome architecture and local selection in shaping hybrid genomes. Here, we take advantage of the genetically divergent island populations of Italian sparrow on Crete, Corsica and Sicily to investigate the predictors of genomic variation within...

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online

Emma McClaughlin, Elena Nichele, Svenja Adolphs, Pepita Barnard, Jeremie Clos, Dawn Knight, Derek McAuley, Miriam Aydt, Tino Tom & Alexandra Lang

Deep structure, long-distance migration and admixture in the colour polymorphic land snail Cepaea nemoralis

Angus Davison, Daniel Ramos Gonzalez & Suzanne Saenko
While snails of the genus Cepaea have historically been important in studying colour polymorphism an ongoing issue is that there is a lack of knowledge of the underlying genetics of the polymorphism, as well as an absence of genomic data to put findings in context. We therefore used phylogenomic methods to begin to investigate the post-glacial history of Cepaea nemoralis, with a long-term aim to understand the roles that selection and drift have in determining...

DCMS Response To Call Connected Tech Smart Or Sinister Horizon

Derek McAuley, Andy Crabtree, Anna-Maria Piskopani, Jiahong Chen & Lachlan Arquhart

AI3SD Video: Equality, Diversity & Inclusion in Networks: Developing your inclusive approach

Debra Fearnshaw & Jeremy G. Frey
This session will give delegates a framework in which to consider how they can develop an inclusive approach to their work, team and research. This talk will provide some examples of how to do this and inspire delegates to develop their own approaches.

Large scale eDNA monitoring of multiple aquatic pathogens as a tool to provide risk maps for wildlife diseases

Natalie Sieber, Alex King, Raphael Krieg, Armin Zenker, Christoph Vorburger & Hanna Hartikainen
Multiple parasites and pathogens cause disease in aquatic wildlife and in aquaculture species, generating a need for monitoring and management. Conventional disease monitoring methods involve laborious, costly and invasive capture and examination of host species, and require specialised expertise for every host and pathogen of interest. These restrictions could be alleviated by using pathogen detection techniques based on environmental DNA that provide simultaneous surveys of multiple aquatic pathogens across different host taxa. This would also...

Registration Year

  • 2022

Resource Types

  • Dataset
  • Other
  • Audiovisual
  • Report
  • Text


  • University of Nottingham
  • University of Sheffield
  • University of Southampton
  • University of Edinburgh
  • University of South Dakota
  • University of Oviedo
  • Rigaku (United States)
  • University of Greenwich
  • Swiss Federal Institute of Aquatic Science and Technology
  • Rigaku Innovative Technologies Europe (Czechia)