Browsing AURA by Author "Martin, Angela Helen"
Now showing items 1-5 of 5
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Coastal Research Seen Through an Early Career Lens—A Perspective on Barriers to Interdisciplinarity in Norway
Deininger, Anne; Martin, Angela Helen; Pardo, Juan; Berg, Paul Ragnar; Bhardwaj, Jyotirmoy; Catarino, Diana; Fernández-Chacón, Albert; Martinez-Swatson, Karen Agatha; Ono, Kotaro; Oomen, Rebekah Alice; Sodeland, Marte; Sørdalen, Tonje Knutsen; Synnes, Ann-Elin; Thorbjørnsen, Susanna Huneide; Thormar, Jonas (Peer reviewed; Journal article, 2021) -
Exploring Changes in Fishery Emissions and Organic Carbon Impacts Associated With a Recovering Stock
Martin, Angela Helen; Ferrer, Erica M.; Hunt, Corallie A.; Bleeker, Katinka; Villasante, Sebastián (Peer reviewed; Journal article, 2022) -
Integral functions of marine vertebrates in the ocean carbon cycle and climate change mitigation
Martin, Angela Helen; Pearson, Heidi; Saba, Grace; Olsen, Esben Moland (Peer reviewed; Journal article, 2021)In the last decade, the ocean has absorbed a quarter of the Earth’s greenhouse gas emissions through the carbon (C) cycle, a naturally occurring process. Aspects of the ocean C cycle are now being incorporated into climate ... -
Toward a better understanding of fish‐based contribution to ocean carbon flux
Saba, Grace; Burd, Adrian B; Dunne, John; Hernández-León, Santiago; Martin, Angela Helen; Rose, Kenneth A.; Salisbury, Joseph; Steinberg, Deborah K; Trueman, Clive N.; Wilson, Rod; Wilson, Stephanie (Peer reviewed; Journal article, 2021) -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...