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    All About Cod For Grades 3-5
    This activity uses background from The Cod's Tale by Mark Kurlansky and then uses a simple story to engage students in solving problems using several operations and algebraic thinking math standards.
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    REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19
    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network
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    All About Cod For Grade 2
    This activity uses data from The Cod's Tale by Mark Kurlansky to engage students in summarizing data in a table and bar graph.
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    1999-Khorasheh-Ahmadi-Gerayeli-Application of Direct Search Optimization for Pharmacokinetic Parameter Estimation
    For simple pharmacokinetic compartmental models, analytical solution to the governing differential equations provide a mean to evaluate the associated rate constants. Such methods, however, can not...
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    Fungus Among Us!
    This game introduces the idea of how fungi and plants can work together in a symbiotic relationship.
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network
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    2012-Shargel-Yu-AccessPharmacy-Applied Biopharmaceutics and Pharmacokinetics
    Step by step formation of drug absorption models is shown with many good graphics of system and plots. Solutions are offered but no solution methods are shown.
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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Assessing in vivo Antimicrobial Activity Through the Analysis of Galleria mellonella Kaplan-Meier Plots
    Antimicrobials and their use in the treatment of bacterial infections are a fundamental lesson in all microbiology courses. Typically, cultivation-based methods are used to teach students about...
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    Speed Data Science
    Data visualization is a foundational data science skill. One way to help students begin to learn about data visualization is to tap in to their innate creative instincts. This activity can be used...
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    1-022-SpreadOfTechnologies-ModelingScenario
    We examine plots on the spread of technologies and ask students to estimate and extract data from the plots and then model several of these spread of technologies phenomena with a logistic...
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    Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias
    Data driven curriculum module from Dryad Digital Repository
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    Investigating human impacts on stream ecology: locally and nationally
    This is a modification of an original TIEE Module, investigating these questions: How does nutrient pollution impact stream ecosystems locally and nationally? How does land cover change impact...
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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report...
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    Investigating human impacts on Southeastern US stream ecology using R
    Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction
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