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  • Marine protected areas show low overlap with projected distributions of seabird populations in Britain and Ireland 

    Critchley, Emma Jane; Grecian, W. James; Kane, Adam; Jessopp, Mark J.; Quinn, John L. (2018-08) - Journal article
    Marine Protected Areas (MPAs) are an important tool for the conservation of seabirds. However, mapping seabird distributions using at-sea surveys or tracking data to inform the designation of MPAs is costly and time-consuming, ...
  • ASKAP commissioning observations of the GAMA 23 Field 

    Leahy, Denis A.; Hopkins, A. M.; Norris, R. P.; Marvil, J.; Collier, J. D.; Taylor, E. N.; Allison, J. R.; Anderson, C.; Bell, M.; Bilicki, M.; Bland-Hawthorn, J.; Brough, S.; Brown, M. J. I.; Driver, S.; Gurkan, G.; Harvey-Smith, L.; Heywood, I.; Holwerda, B. W.; Liske, J.; Lopez-Sanchez, A. R.; McConnell, D.; Moffett, A.; Owers, M. S.; Pimbblet, K. A.; Raja, W.; Seymour, N.; Voronkov, M. A.; Wang, L. (2019) - Journal article
    We have observed the G23 field of the Galaxy AndMass Assembly (GAMA) survey using the Australian Square Kilometre Array Pathfinder (ASKAP) in its commissioning phase to validate the performance of the telescope and to ...
  • Non-stationary Gaussian models with physical barriers 

    Bakka, Haakon; Vanhatalo, Jarno; Illian, Janine B.; Simpson, Daniel; Rue, Haavard (2019-01-18) - Journal article
    The classical tools in spatial statistics are stationary models, like the Matérn field. However, in some applications there are boundaries, holes, or physical barriers in the study area, e.g. a coastline, and stationary ...
  • High iso aldehyde selectivity in the hydroformylation of short-chain alkenes 

    Iu, Leo; Fuentes, José A.; Janka, Mesfin; Fontenot, Kevin J.; Clarke, Matthew L. (2019-02-11) - Journal article
    The hydroformylation of propene to give predominantly iso‐butanal has been achieved; class‐leading selectivity is possible even at higher temperatures that deliver fast conversion. Racemic rhodium complexes of bidentate ...
  • Deep neural networks for automated detection of marine mammal species 

    Shiu, Yu; Palmer, Kaitlin; Roch, Marie; Fleishman, Erica; Liu, Xiaobai; Nosal, Eva-Marie; Helble, Tyler; Cholewiak, Danielle; Gillespie, Douglas Michael; Klinck, Holger (2020-01-17) - Journal article
    Deep neural networks have advanced the field of detection and classification and allowed for effective identification of signals in challenging data sets. Numerous time-critical conservation needs may benefit from these ...

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