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      Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model

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      Trifonova_et_al_PONE_PredictingEcosystemComponents_VoR.pdf (1.690Mb)
      Publication date
      23/01/2019
      Author
      Trifonova, Neda
      Karnauskas, Mandy
      Kelble, Christopher
      Metadata
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      Citation
      Trifonova , N , Karnauskas , M & Kelble , C 2019 , ' Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model ' , PloS ONE , vol. 14 , no. 1 , e0209257 . https://doi.org/10.1371/journal.pone.0209257
      URI
      https://hdl.handle.net/2164/13918
      DOI
      https://doi.org/10.1371/journal.pone.0209257
      Rights
      This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/
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