University of Canberra Showcase

This study aimed to assess the unique and combined effect of tDCS and exercise on BBB permeability, as assessed through changes in salivary S100B. It was hypothesised that active tDCS would induce a significant increase in S100B when compared to sham stimulation and no stimulation. It was also hypothesised that the increase in S100B concentration would be greater following active tDCS and exercise compared to tDCS or exercise alone. Regarding the effects of exercise, a significant increase in S100B following the cycling task was hypothesised.

Data files for the project "The contemporary distribution of grasses in Australia: a process of immigration, dispersal and shifting dominance". The analysis in this study used Poaceae records downloaded from Atlas of Living Australia combined with several climatic and landscape variables (see below for link) that were manipulated and transformed in several steps to estimate species richness and relationships to environmental gradients in 100 x 100 km gridded cells across Australia. All steps to recreate this analysis from the original data set can be found in the R scripts folder for use in R programming language. Please load the R project file in the same folder stucture and unzip the data folder. The complete data used in this study is avaiable at: https://doi.ala.org.au/doi/10.26197/5c78c275549a5. Please see the README within this data set for links to the environmental variables used in this analysis.

Data from community sport club survey.

The aim of this qualitative research was to understand the attitudes and behaviours, enablers and barriers of Seasonal Influenza Vaccination among Australian healthcare personnel (HCP-nurses, midwives, doctors and pharmacists) in the context of Covid 19. Utilising a question guide underpinned by the Triandis Theory of Interpersonal Behaviour, and an Intergrative Review, we conducted 14 semi-structured interviews with Australian HCP. Application of Braun and Clarke’s reflective thematic analysis facilitated the identification and exploration of 6 pertinent themes. Most significantly professional responsibility and identity appeared highly associated with positive vaccine intention. Protection particularly of others, habit, risk perception, experience and knowledge, and convenience and ease of access were also found to influence HCP decision making around SIV. Vaccination complacency, not hesitancy, was found to impede the progress of vaccination intention (acceptance) to vaccine behaviours (uptake). Interventions targeting professional identity and social norms may overcome vaccine complacency to nudge vaccination intention to vaccination positive behaviour.

This data set is a collection of materials used to integrate Research Data Management Planning into the University of Canberra (UC). This work was completed as part of the outputs for the Australian Research Data Commons (ARDC) Institutional Underpinnings Project in 2022. The aim of sharing these materials is to provide awareness and allow the reproduction of the outcomes of this project at other institutions. Below, we briefly describe two components of this project: (1) Integration and (2) Engagement: (1) Integrating a data management planning (DMP) tool (ReDBox) with UC's research manager (Pure) in accordance with new UC DMP Policy. We wanted a seamless workflow for researchers to create and develop a data management plan for new research projects. That is, an integrated system that is initiated when a project is awarded in Pure, spurring the creation of a ReDBox data management plan with fields pre-filled with information from the Pure project so that researchers do not need to re-fill the same information in different platforms. (2) Raise awareness of this integration and the benefits of DMP for researchers. We wanted to educate researchers on the aims of DMP (specifically risk-management and data governance) as well as how to engage with that at UC, i.e. using Pure and ReDBox for their research projects and associated data management. Please refer to the README contained in the Outputs folder for additional information.

This data was used in the preparation of FORC-D-23-00035 "Conjunctive use of mineralogy and elemental composition for empirical forensic provenancing of topsoil from Canberra, Australia". Authors: Michael G. Aberle 1, Ulrike Troitzsch 2, James Robertson 1, Jurian A. Hoogewerff 1 1) National Centre for Forensic Studies, University of Canberra, Australia, 2) Research School of Earth Sciences, Australian National University, Australia, Corresponding author: Michael Aberle: email: Michael.Aberle@canberra.edu.au. The data and script provided are experimental and the authors are not liable for any misuse or unexpected outcomes of the data and scripts for legal applications or otherwise.

Cleaned and filtered Australian grass (Poaceae) occurrence records from the Atlas of Living Australia (ALA), downloaded 3 January 2020. The data file is in an R format (.RDS file). This can be converted and saved into a .csv file in R. I also assigned species photosynthetic pathway (either C3 or C4 photosynthesis) to each species in the data set. I converted the cleaned record into species richness (the number of unique species in 100 x 100 km areas across Australia). I tied native and introduced C3 and C4 grass species richness to key environmental variables to build species distribution models. I expected native and introduced grasses to have similar responses to environmental gradients meaning native species richness patterns could provide a template for potential introduced species richness. These records could be used for other SDM contexts (single-species or within States or Territories). Or for statistical analyses on the phylogenetic (species, generic) composition of grass records in Australia. The location tags on the records, however, provide use for assessing the geographic distribution of the records/species across Australia at different spatial scales and extents and with coupling to environmental data, as I did for these records. Nonnative = introduced (i.e. not native to Australia).

This data set contains the transcripts of excerpts from a selection of media conferences by the Hon Dan Andrews MLA, Premier of Victoria, held between August and November 2020. These media conferences were held in the context of the lockdown of Melbourne and the wider state of Victoria due to COVID-19. The excerpts are the portion of the media conference in which the Premier presented his prepared remarks. The excerpts do not include the questions and answer session with journalists which followed his remarks. The rationale for the selection of transcripts for analysis is also available here.

This repository contains past harvests of the number of digitised newspaper articles available through Trove. These harvests were created between 2011 and 2022.

CSV file with survey responses applied to demonstrate the raw and partial correlations between participant responses in relation to community sport policy in Australia