• A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses 

      Howell, Kerry L.; Davies, Jaime S.; Allcock, Louise; Braga-Henriques, Andreia; Buhl-Mortensen, Pål; Carreiro-Silva, Marina; Dominguez-Carrio, Carlos; Durden, Jennifer M.; Foster, Nicola L.; Game, Chloe A.; Hitchin, Becky; Horton, Tammy; Hosking, Brett; Jones, Daniel O.B.; Mah, Christopher L.; Laguionie Marchais, Claire; Menot, Lenaick; Morato, Telmo; Pearman, Tabitha R.R.; Ross, Rebecca; Ruhl, Henry A.; Saeedi, Hanieh; Stefanoudis, Paris V.; Taranto, Gerald H.; Thompson, Michael B.; Taylor, James R.; Tyler, Paul A.; Vad, Johanne; Victorero, Lissette; Vieira, Rui P.; Woodall, Lucy C.; Xavier, Joana R.; Wagner, Daniel (Peer reviewed; Journal article, 2019-12-31)
      Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without ...
    • Towards improved monitoring of offshore carbon storage: A real-world field experiment detecting a controlled sub-seafloor CO2 release 

      Flohr, Anita; Schaap, Allison; Achterberg, Eric P.; Alendal, Guttorm; Arundell, Martin; Berndt, Christian; Blackford, Jeremy; Bröttner, Christoph; Borisov, Sergey M.; Brown, Robin; Bull, Jonathan M.; Carter, Liam; Chen, Baixin; Dale, Andrew W.; De Beer, Dirk; Dean, Marcella; Deusner, Christian; Dewar, Marius; Durden, Jennifer M.; Elsen, Saskia; Esposito, Mario; Faggetter, Michael; Fischer, Jan P.; Gana, Amine; Gros, Jonas; Haeckel, Matthias; Hanz, Rudolf; Holtappels, Moritz; Hosking, Brett; Huvenne, Veerle A.I.; James, Rachael H.; Koopmans, Dirk; Kossel, Elke; Leighton, Timothy G.; Li, Jianghui; Lichtschlag, Anna; Linke, Peter; Loucaides, Socratis; Martínez-Cabanas, María; Matter, Juerg M.; Mesher, Thomas; Monk, Samuel; Mowlem, Matthew C.; Oleynik, Anna; Papadimitriou, Stathys; Paxton, David; Pearce, Christopher R.; Peel, Kate; Roche, Ben; Connelly, Douglas (Journal article; Peer reviewed, 2021)
      Carbon capture and storage (CCS) is a key technology to reduce carbon dioxide (CO2) emissions from industrial processes in a feasible, substantial, and timely manner. For geological CO2 storage to be safe, reliable, and ...