Technique developed by MIT-CBIOMES investigators could aid in tracking the ocean’s health and productivity. Continue reading “Machine learning helps map global ocean communities”
Machine learning helps map global ocean communities
Measuring Climate Change
Member of the PML-CBIOMES Group Bror Jönsson has been working with Wei-Jun Cai of the University of Delaware and others on a study seeking to characterize ocean acidification throughout coastal North America. Continue reading “Measuring Climate Change”
2020 Annual Meeting e-poster: Testing ensemble 4D-Var data assimilation approaches – Chris Edwards (UCSC)
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2020 Annual Meeting e-poster: Common Environmental Stress Response in a Marine Diatom – Zhengke Li (Dal)
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2020 Annual Meeting e-poster: A Competition of Different Cell Division Hypotheses In An Individual-based Modeling Platform – Zhen Wu (MIT)
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2020 Annual Meeting e-poster: Elemental Ratio and Macromolecule Composition of the Green Algae Chloropicon Under Nitrogen Starvation – Vinitha Ebenezer (Dal)
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2020 Annual Meeting e-poster: Optical Water Type Clustering – Thomas Jackson (PML)
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2020 Annual Meeting e-poster: Optimizing RNA-seq data processing workflows for detection of co-expression within metabolic pathway – Stephen Blaskowski (UW)
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2020 Annual Meeting e-poster: Exploring biogeochemical and ecological redundancy in phytoplankton communities – Stephanie Dutkiewicz (MIT)
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2020 Annual Meeting e-poster: Measuring Marine Microbial Growth Rates using Laboratory Incubation Experiments – Shengwei Hou (USC)
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