Blar i Department of Biological Sciences på forfatter "Horton, Tammy"

Viser treff 1-2 av 2

    • 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 ...

    • sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna 

      Chapman, Abbie; Beaulieu, Stace; Colaço, Ana; Gebruk, Andrey; Hilário, Ana; Kihara, Terue C.; Ramirez-Llodra, Eva; Sarrazin, Jozee; Tunnicliffe, Verena J.; Amon, Diva J.; Baker, Maria; Boschen-Rose, Rachel; Chen, Chong; Cooper, Isabelle; Copley, Jonathan; Corbari, Laure; Cordes, Erik; Cuvelier, Daphne; Duperron, Sebastien; Du Preez, Cherisse; Gollner, Sabine; Horton, Tammy; Hourdez, Stephane; Kryolova, Elena; Linse, Kathrin; LokaBharati, P.A.; Marsh, Leigh; Matabos, Marjolaine; Wier Mills, Susan; Mullineaux, Lauren; Rapp, Hans Tore; Reid, William David Kenneth; Rybakova, Elena; Thomas, Tresa Remya; Southgate, Samuel James; Stöhr, Sabine; Turner, Philip J; Watanabe, Hiromi Kayama; Yasuhara, Moriaki; Bates, Amanda E. (Peer reviewed; Journal article, 2019)
      Motivation: Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait‐based approach to the ...