• Broad-scale distribution of the winter protozooplankton community in the North Sea 

      Bils, Franziska; Moyano, Marta; Aberle-Malzahn, Nicole; van Damme, Cindy JG; Nash, Richard David Marriott; Kloppmann, Matthias; Loots, Christophe; Peck, Myron A. (Journal article; Peer reviewed, 2018)
      Protozooplankton (PZP) (here size range: 12–200 μm) are rarely sampled over a broad scale, especially in ecosystem monitoring programs, despite their trophodynamic importance as grazers in the microbial loop and as prey ...
    • Broad-scale distribution of the winter protozooplankton community in the North Sea. 

      Bils, Franziska; Moyano, Marta; Aberle-Malzahn, Nicole; van Damme, Cindy JG; Nash, Richard David Marriott; Kloppmann, Matthias; Loots, Christophe; Peck, Myron A. (Peer reviewed; Journal article, 2018)
      Protozooplankton (PZP) (here size range: 12–200 μm) are rarely sampled over a broad scale, especially in ecosystem monitoring programs, despite their trophodynamic importance as grazers in the microbial loop and as prey ...
    • First estimates of metabolic rate in Atlantic bluefin tuna larvae 

      Blanco, Edurne; Reglero, Patricia; Ortega, Aurelio; Folkvord, Arild; de la Gándara, Fernando; Hernández de Rojas, Alma; Moyano, Marta (Peer reviewed; Journal article, 2020)
      Atlantic bluefin tuna is an iconic scombrid species with a high commercial and ecological value. Despite their importance, many physiological aspects, especially during the larval stages, are still unknown. Metabolic rates ...
    • 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 ...
    • 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 ...