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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...
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    Life in Urban Environments: The Impact of Urbanization on Life-History Traits in Amphibian Species
    This lesson focuses on urbanization and its negative effects on species, specifically amphibians. The lesson will also provide hands-on statistical analyses and critical thinking questions to...
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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.
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    Investigating the Drivers of Western Monarch Decline Using Partial Least Squares Regression
    In this lesson, students will explore the drivers of the western monarch butterfly decline. Students will compare the effects of climate factors and land use factors on the western monarch...
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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE. This module was adapted for students using R and RStudio.
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    A Phenology-focused CURE using Herbarium Specimen Data
    10-week course-based undergraduate research experience in which students conduct novel research on the effects of climate on phenological events (e.g., flowering) of a plant species using publicly...
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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
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    Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation
    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Climate Change’s Impact on Sea Level Rise in a Coastal Marsh Over 20 Years
    In this lesson, students will learn about increasing sea level rise and the direct impacts coastal marshes are facing as a result. Students will learn the importance of coastal marshes, tidal...
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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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    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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    An introduction to population matrix models: a swirl lesson
    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...
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    Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
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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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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...
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    Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
    Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...
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    Invasion, Restoration, and Response: Assessing changes in arthropod community assemblage using both parametric and non-parametric approaches
    This lesson, which is based around a recently published paper in the Journal of Ecological Applications, introduces students to both parametric and non-parametric approaches to statistical analysis...
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