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    Why are Cells Small? Surface Area to Volume Ratio
    This module explores surface area to volume ratios in a cube and sphere in relation to cell size.
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    Birds and Lice: Reciprocal Natural Selection
    This exercise investigates the form and function of lice and their relationship to their bird host.
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    Coronavirus Epidemic Curves - Graphically Interpreting Derivatives
    A set of exam questions or class activity related to 'flatten the curve' during the coronavirus outbreak of 2020. Content includes: notation, first derivative, second derivative, and interpreting...
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    Investigating Evidence for Climate Change (Project EDDIE)
    This multi-part activity allows students to discover the relationships between CO2 and temperature and how these variables have changed over time using real-world data.
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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, Excel Part 4: Focusing on Taxonomy 4.26.19
    Video on analyzing microbiome data in Excel from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, Excel Part 3: Organizing Your Microbiome Data 5.3.19
    Video on organizing microbiome using Excel from the Research Experiences in Microbiomes Network
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    The p53 Gene and Cancer
    This tutorial describes the structure and function of the p53 protein, how its activity is regulated in cells, and how mutant versions of p53 can lead to cancer.
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    The Effect of Climate Change on Butterfly Phenology - Intro Environmental Science
    In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.
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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...
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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...
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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    Diversity Indices: Shannon's H and E
    This module introduces Shannon's diversity index in the context of understanding how to mathematically measure the species diversity in a community. It is intended for an introductory biology...
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    Diversity Indices: Simpson's D and E
    This module introduces Simpson's diversity index in the context of understanding how to mathematically measure the species diversity in a community. It is intended for an introductory biology...
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    Estimating Tree Heights: Right Triangle Trigonometry
    This module introduces basic trigonometry calculations in the context of understanding tree height calculations. It is intended for an introductory biology audience.
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    Lung Capacity and Rhythms in Breathing
    This module introduces rhythmic inhaling and exhaling in the context of understanding trigonometry and sine waves. It is intended for an introductory biology audience.
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    Sizes of Organisms: The Surface Area to Volume Ratio
    This module introduces surface area-volume ratio in the context of understanding the limits or constraints on organism size. It is intended for an introductory biology audience.
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    Spider Silk: Stress-Strain Curves and Young's Modulus
    This module introduces the stress-strain curve in the context of understanding materials' mechanical behavior. It is intended for an introductory biology audience.
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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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