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    Graphing bacterial growth rates: semi-log graphs v linear graphs
    In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear...
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    Uninhibited Growth of Cells
    In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear...
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    Is bigger always better? An investigation on the effect of drought on different sizes of trees
    This data set was compiled from worldwide data to examine the effects of drought on trees. Included in the dataset are measurements of growth and mortality as they relate to the size category of...
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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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    Analysis of Amylase Activity
    This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme...
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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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    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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    Biomes lecture with active learning activities and a worksheet set
    Learning Objectives: *Identify the characteristics of each biome *Know the major drivers of global climate patterns *Discern how 2 factors largely determine terrestrial biomes *Evaluate the...
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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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    Graphing an Epidemic: West Africa Ebola Epidemic
    In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were...
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Osmosis: Determination of the rate of osmosis and the isotonic concentration
    This module contains exercises designed to help students understand how solute concentrations affect the direction and rate of osmosis. Students are given different scenarios to predict the...
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    Case Study - Storks vs Babies
    This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation...
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    Graphing and mapping patterns of air quality in Los Angeles, California through an environmental justice lens.
    Air quality is an environmental issue that impacts everyone in Los Angeles. This activity presents current popular press articles about air pollution and environmental justice and maps and graphs...
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    Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases
    In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the...
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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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    Food, Energy and Water Learning Modules (FEWLM) Workbooks
    FEWLM is a low-cost inquiry-based interdisciplinary STEM prototypical curriculum built on Next Generation Science Standards, systems thinking and informed engineering design pedagogy.
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    Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom
    In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental...
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    Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
    In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...
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