The Scottish Oceans Institute is an interdisciplinary research institute studying the marine environment which forms a key focus for research excellence in marine-related science. Our research interests range from the deep oceans to the coasts, and from the people who use and interact with the sea, to the biological and physical processes that make the oceans function.

For more information please visit the Scottish Oceans Institute home page

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Recent Submissions

  • Humpback whales in Brazil : distribution, abundance and human impacts 

    Bortolotto, Guilherme Augusto (University of St Andrews, 2019-12-03) - Thesis
    The humpback whale population breeding in Brazilian waters has greatly increased, after near extinction due to whaling in the twentieth century. Today, these animals are under pressure from human activities in the area. ...
  • Not just fat : investigating novel physiological state biomarkers in cetacean blubber 

    Kershaw, Joanna (University of St Andrews, 2019-06-26) - Thesis
    Despite its importance as a predictor of fitness, no consensus has been reached about how to assess the nutritive body condition of free-ranging cetaceans. Standard indices of condition used in terrestrial ecology were ...
  • Title redacted 

    Hope, Julie Anne (University of St Andrews, 2016-06-22) - Thesis
  • The impact of multiple stressors on coastal biodiversity and associated ecosystem services 

    Watson, Stephen C. L. (University of St Andrews, 2017-06-21) - Thesis
    Marine and coastal ecosystems are subject to diverse and increasingly intensive anthropogenic activities, making understanding cumulative effects critically important. However, accurately accounting for the cumulative ...
  • BayesPiles : visualisation support for Bayesian network structure learning 

    Vogogias, Athanasios; Kennedy, Jessie; Archambault, Daniel; Bach, Benjamin; Smith, V Anne; Currant, Hannah (2018-11) - Journal article
    We address the problem of exploring, combining, and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In this field, heuristic algorithms explore the ...

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