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    Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
    In this lesson, students will learn more about the wildlife disease known as white nose syndrome and how it affects certain bat species more than others. Students will learn about the important...
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    Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches
    Creating and comparing boosted regression tree models to multiple regression models.
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    Using Regression Models to Examine the Effect of Carbon Dioxide on Fluid pH
    In this activity students will use statistics and regression models to explore the effects of carbon dioxide on blood pH by measuring pH changes that occur over time as carbon dioxide reacts with...
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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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    Global Temperature Change in the 21st Century: An Introduction to Global Climate Models and Graphing in Excel (Adapted for Non-Majors)
    Students link human behavior in various climate change scenarios to predicted temperature outcomes at both local (their assigned Latitude) and global (Latitudinal trends) scales. This adaptation is...
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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
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    How Luxury and Legacy Effects Shape Urban Avifauna in Los Angeles, California
    Is L.A.’s bird population shaped by historic redlining and income inequality? This lesson will introduce luxury and legacy effects hypotheses as they relate to urban avifauna in LA neighborhoods....
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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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    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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    Have fish assemblages recovered from the legacy of acid rain?
    This module provides a framework for upper-level ecology students to learn about limiting factors for stream fish diversity, using data from Shenandoah National Park and gaining skills in...
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    The Importance of Street Trees and Urban Avifauna: A lesson exploring the relationship between urban forest and foraging birds
    This module examines the relationship between street trees, urban avifauna, and socioeconomic gradients in the highly urbanized county of Los Angeles, California. Using edited data from a published...
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    Water We Doing: A Deep Dive Into Sustainable Ocean Management & Blue Economies
    This lesson explores the concept of blue economies and includes a detailing lesson in R that involves basic statistics and building complex graphics.
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    Aquatic Nutrient Levels and Climate Change
    This learning module was designed to introduce students to the aquatic nutrients nitrogen and phosphorus, their roles in ecosystem function and nutrient pollution, and what impacts climate change...
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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 Socioeconomic Trends in Tree Cover and Human Health in Urban Environments
    In this exercise, students use a combination of publicly available data and tree cover data that they generate using iTree Canopy to test whether tree cover is equitably distributed within the city...
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    Hypoxia: A Case Study in R
    Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have...
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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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    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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    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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