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    Learn Biological Sciences and Physics through scientific process, creation, experimentation and analysis
    Microbes remain attached and grow on various surfaces whether living or non-living. These surfaces provide differential growth substances for microbes to remain attached or grow. The differential...
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    Data Analysis and Cancer
    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis...
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    Learn Biological Sciences and Mathematics through cellular respiration, photosynthesis and primary productivity.
    Photosynthesis is a process by which plants synthesize glucose and oxygen in presence of sunlight through light dependent reactions by utilization of sunlight, water to synthesize oxygen, ATP and...
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    Learn genomics and bioinformatics through scientific thinking, creation and analysis (virtual and hands-on)
    Nucleic acid are biological molecules composed of nitrogen-containing bases, phosphate groups, and sugar molecules. The complimentary chemical bonding results in formation of double stranded DNA....
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    Learn Biological Sciences and Chemistry through cellular transport and concentration ( online and hands-on)
    Osmosis is a process by which by which solvent move from a region of lower solute concentration to region of higher solute concentration through a semi-permeable membrane. Cells utilize the process...
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    Cell Cycle and Mitosis
    This module introduces activities that allow students to walk through the cell cycle and mitotic cell division processes. As part of the activities, students learn about and apply knowledge of...
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    Paleoclimate and Ocean Biogeochemistry (Project EDDIE)
    This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be...
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    Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2
    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...
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    Learn Biological Sciences and Environmental Science through biodiversity and pollution
    Biodiversity or biological diversity is the variety of and variability of biological life on Earth. Biodiversity is existing due to variation among living organisms from different sources air,...
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    Phenology Trends and Climate Change in Minnesota (Project EDDIE)
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own...
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    iDigBio Tutorial - BLUE Resource
    A user guide and video instructions for iDigBio
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Climate Drivers of Phenology Across Scales (adapted during Project EDDIE FMN)
    This activity explores the question: how is bumblebee phenology affected by climate, and are patterns in the phenology of an organism better explained at smaller scales?
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    Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...
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    Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...
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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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