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Phytoplankton traits from long-term oceanographic time-series

Crispin M Mutshinda, View ORCID ProfileZoe V Finkel, Claire E Widdicombe, View ORCID ProfileAndrew J Irwin
doi: https://doi.org/10.1101/148304
Crispin M Mutshinda
1Mathematics & Computer Science, Mount Allison University, Sackville, NB, Canada, E4L 1E6
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Zoe V Finkel
2Environmental Science, Mount Allison University, Sackville, NB, Canada, E4L 1A7
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Claire E Widdicombe
3Plymouth Marine Laboratory, Prospect Place, Plymouth, UK, PL1 3DH
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Andrew J Irwin
1Mathematics & Computer Science, Mount Allison University, Sackville, NB, Canada, E4L 1E6
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  • ORCID record for Andrew J Irwin
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Article Information

doi 
https://doi.org/10.1101/148304
History 
  • June 9, 2017.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Crispin M Mutshinda1,
  2. Zoe V Finkel2,
  3. Claire E Widdicombe3 and
  4. Andrew J Irwin1
  1. 1Mathematics & Computer Science, Mount Allison University, Sackville, NB, Canada, E4L 1E6
  2. 2Environmental Science, Mount Allison University, Sackville, NB, Canada, E4L 1A7
  3. 3Plymouth Marine Laboratory, Prospect Place, Plymouth, UK, PL1 3DH
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Posted June 09, 2017.
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Phytoplankton traits from long-term oceanographic time-series
Crispin M Mutshinda, Zoe V Finkel, Claire E Widdicombe, Andrew J Irwin
bioRxiv 148304; doi: https://doi.org/10.1101/148304
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Phytoplankton traits from long-term oceanographic time-series
Crispin M Mutshinda, Zoe V Finkel, Claire E Widdicombe, Andrew J Irwin
bioRxiv 148304; doi: https://doi.org/10.1101/148304

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