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    Processes that Regulate Patterns of Species and Genetic Diversity
    TIEE Module- This activity was developed for an undergraduate upper level course for natural resources majors. Classes of 20 – 30 students work best for the activity.
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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...
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    Coordinating Photosynthetic Activity: Circadian Rhythms
    This module introduces circadian rhythms in the context of understanding the ability of organisms to measure time. It is intended for an introductory biology audience.
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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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    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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    Binomial test
    This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
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    Discrete Math Modeling with Biological Applications (Course Materials)
    These are the materials for Math 214 offered at Rhodes College.
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    Cell Division and Rates of Population Growth
    This module introduces the exponential growth of cells in the context of understanding cell division. It is intended for an introductory biology audience.
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    Efficiency of ATP Prodution
    This module introduces the efficiency of ATP production in the context of understanding glycolysis and endergonic reactions. It is intended for an introductory biology audience.
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    Doubling Time of Tumors
    This module introduces the calculation of potential doubling time of tumorous cells in the context of understanding the growth of a population of the cells. It is intended for an introductory...
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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.
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    Exploration of the Human Genome by Investigation of Personalized SNPs
    To increase students' interest in their own genomes, this computer-based laboratory lesson is designed to be coupled with the opportunity for the students to be genotyped by the consumer sequencing...
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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
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    NEON Data in the Classroom: Faculty Mentoring Networks Offer a Low-Investment High-Output Means of Creating and Implementing Data-Centric Classroom Materials
    This ePoster presents the Faculty Mentoring Network model as a way to support faculty creation and implementation of data-centric classroom teaching activities. It focuses on the NEON Data...
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    MathBench: Evolved Immunity for Introductory Environmental Science
    The Evolved Immunity module was the focal module for this lesson. Evolved Immunity was chosen because this module includes content and quantitative elements from a range of lab and lecture topics...
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    Developing quantitative skills for ecological data: the effects of climate warming on phenological variation and species interactions
    Students combine long-term observational data sets and experimental warming in an alpine meadow in Gothic, CO to test, evaluate, and interpret ecological data focusing on phenological variation and...
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    Figure of the Day: Disease version
    Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown. Forked version with all infectious disease graphs.
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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
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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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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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