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    The Influence of Exotic Plant Invasion on Pollinator Abundance
    This lesson introduces two global change factors, natural habitat loss and exotic plant invasion, and analyzes how these stressors impact the biodiversity and abundance of pollinator species....
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    Exploring global reef health and human population using correlation and simple linear regression
    In this lesson, students will explore the relationship between reef cover and human disturbance. Students will manipulate a large dataset and perform normality tests, data transformations,...
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    Oyster Restoration Success and Water Quality in the James and Rappahannock Rivers of Virginia
    This QUBES lesson uses statistical analysis to test whether or not oyster restoration sites in Virginia are successfully increasing the number of oysters and whether or not water quality is...
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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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    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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    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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    Home sweet home for warblers: Graphing and Analysis using R
    This resource expands on the Data Nugget "Trees and bushes, Home Sweet Home for Warblers". The analyses and graphing is done in R and there are questions that ask about the management implications.
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    Permeability of Molecules
    This module introduces Overton's Rule in the context of understanding the permeability of molecules across the cell membrane. It is intended for an introductory biology audience.
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    Climate Change and Phenology: Evaluating Temperature, Precipitation, and Phenology of Frogs and Toads in Minnesota
    Students evaluate long term (100+ years) trends in temperature and precipitation, and then isolate a shorter time span (20 years) in which to evaluate the correlation between spring temps and the...
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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    A CURE in traits and species distributions: Reproductive modes, range sizes, and natural history collections
    This course-based undergraduate research experience (CURE) focuses on developing hypotheses about how traits influence the range sizes of species. Topics with substantive content include symbioses,...
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    BSHS Calculus 2
    Based upon the University of Minnesota Bachelor's of Science in Health Science calculus curriculum (part 2), this course introduces linear transformations, ordinary differential equations, basic...
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    Biostatistical Tools
    This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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