Welcome to the St Andrews Research Repository
This is the official institutional research repository for the University of St Andrews. The repository contains electronic theses and research publications including articles, conference proceedings, working papers and some research monographs. It also contains material and publications affiliated to the University and arising from specific projects. Full text content is provided for all research publications in the repository, and wherever possible (following embargoes) for electronic theses.
The University requires submission of an electronic version of theses. For help with electronic thesis deposit see Library webpages on how to submit your electronic copy or contact Digital-Repository@st-andrews.ac.uk.
The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure or contact the Open Access team at email@example.com.
Communities in Repository
Select a community to browse its collections.
Aggressor or protector? Experiences and perceptions of violence predict preferences for masculinity (2017-07) - Journal articleWomen’s preferences for masculine male partners have been explained in terms of heritable health. The evidence between masculinity and health, however, is controversial and therefore, alternative explanations for masculinity ...
(2016-11-10) - Journal itemBackground: Standard treatment for deep vein thrombosis aims to reduce immediate complications. Use of thrombolysis or clot dissolving drugs could reduce the long-term complications of post-thrombotic syndrome (PTS) including ...
(2016-05-26) - Journal articleCapture-recapture studies increasingly rely upon natural tags that allow animals to be identified by features such as coat markings, DNA profiles, acoustic profiles, or spatial locations. These innovations greatly increase ...
A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology (2016) - Journal articleHighly nonlinear, chaotic or near chaotic, dynamic models are important in fields such as ecology and epidemiology: for example, pest species and diseases often display highly nonlinear dynamics. However, such models are ...
(University of St Andrews, 2018-06-27) - Thesis