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March 2020 CBIOMES e-meeting – Kristof Glauninger (UW)
March 2020 CBIOMES e-meeting – Joe Vallino (MBL)
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NEW CBIOMES PUBLICATION
Shubha Sathyendranath, Trevor Platt, Žarko Kovač, James Dingle, Thomas Jackson, Robert J. W. Brewin, Peter Franks, Emilio Marañón, Gemma Kulk, and Heather A. Bouman (2020), Reconciling models of primary production and photo-acclimation, Applied Optics, doi: 10.1364/AO.386252
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NEW CBIOMES PUBLICATION
Crispin M. Mutshinda, Andrew J. Irwin, Mikko J. Sillanpää (2020), A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection, The International Journal of Biostatistics, doi: 10.1515/ijb-2019-0038
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Seen at Ocean Sciences: CBIOMES Posters
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Antarctic Marine Microbes Need Their Multivitamins
In the austral summer season of December 2017 – February 2018, MIT CBIOMES member Deepa Rao, a graduate student in MIT’s Department of Earth, Atmospheric and Planetary Sciences, participated in the NSF funded CICLOPS cruise to explore cobalamin and iron co-limitation of phytoplankton species in Terra Nova Bay, Antarctica. Continue reading “Antarctic Marine Microbes Need Their Multivitamins”
Sea Life You Can’t See: CBIOMES contributes to SF anniversary volume
Look for CBIOMES-flavored eye-candy in a new book celebrating the Simons Foundation’s first 25 years supporting discovery-driven science. Continue reading “Sea Life You Can’t See: CBIOMES contributes to SF anniversary volume”
Seeding Oceans With Iron May Not Impact Climate Change
Study involving members of MIT-CBIOMES finds Earth’s oceans contain just the right amount of iron; adding more may not improve their ability to absorb carbon dioxide. Continue reading “Seeding Oceans With Iron May Not Impact Climate Change”
Marine Microbial Musings
CBIOMES Investigator Joe Vallino Speaks to the Finding Genius Podcast Team about marine microorganisms, ocean chemistry, and thermodynamics Continue reading “Marine Microbial Musings”
Exploring Phytoplankton Diversity
In a new paper, MIT-CBIOMES investigator Stephanie Dutkiewicz and collaborators use the Darwin ecosystem model to develop theories seeking to explain and predict phytoplankton biogeography.
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