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Cross-disciplinary research for discovery science

Lead Research Organisation: University of Nottingham
Department Name: Research and Innovation

Abstract

Funding will be allocated to support cross-discipline research in the environmental science space. Projects will be ambitious, curiosity-driven to align with NERCs discovery science scheme.
Delivery and management of the discipline hopping for discovery science funding will be centred on existing, well established, governance structures already in place for the University of Nottingham's (UoN) NERC Discovery Science demand management process and Interdisciplinary Research Collaboration (IRC) scheme.

Publications

10 25 50
 
Title Digital image correlation and mechanical stress test measurements on Passer sparrow skull models 
Description This dataset comprises reference and deformed images of F1 hybrid and house sparrow (THE) hybrid skull prints and a short Matlab code to extract wireframe deformation model. Loading was conducted at the University of Nottingham in 2023 on a customised loading frame. A reference database is provided as an example of pre-processed data. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/38e3bd7f-63a6-41a6-8bb3-4cad89bdb14d
 
Title Micro-computed tomography (micro-CT) 3D scans of skulls of Passer sparrows generated during a crossing experiment 
Description This dataset comprises MicroCT 3D scans of skulls from Passer sparrows (Passer domesticus, P. hispaniolensis, P. italiae and F1 hybrids) generated during a crossing experiment at the University of Oslo, Norway in 2014/2015. Skulls were scanned with a microCT scanner at the University of Nottingham in 2023. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e
 
Title Terrestrial LiDAR data of Bramcote Hills Park wood, Nottinghamshire, UK in 2023 
Description This dataset contains forest structure measurements for a wooded area where the liana Hendra helix (common ivy) is present. The dataset comprises two overlapping 3D point clouds for a small wooded area covering nearly 18000 m2 of Bramcote Hills Park (Nottinghamshire, UK) for a sample of trees infested with liana as well as a non-infested sample of trees. This datasets was acquired using a terrestrial Light Detection And Ranging (LiDAR) scanner on 13 January 2023, as part of a study assessing the diversity and composition of soil and litter dwelling organisms associated with liana infestations within forests. The work was supported by the Natural Environment Research Council (Grant NE/X018083/1). 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/174ef670-6db9-4fb9-9961-27b2cee57adc