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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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    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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    Examining human impacts on tusk evolution in elephants using authentic research data
    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
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    2020-TeachingModule-ModelingSpreadOfOilSlick
    This is support material and video for teaching a Modeling Scenario using a first order ODE to model the spread of an oilslick with incomplete data.
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    Processes that Regulate Patterns of Species and Genetic Diversity - Intro Environmental Science
    This activity was adapted for use in an intro non-majors Environmental Science course, with an emphasis on collaborative data collection.
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    Machine Learning Meets Medicine with Jenessa Peterson
    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...
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    Teaching Selection Mechanisms to 9th Graders using "Are You My Species?" Data Nugget
    Teaching notes related to the use the of Data Nugget "Are You My Species?" to teach mechanisms of selection and quantitative skills in a 9th grade Biology classroom.
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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
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    Simple Heat Maps with Morpheus
    Learn how to load an Excel file of raw data into Morpheus and change between relative and global scales.
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    Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps
    Organized Oral Session at the Ecological Society of America annual meeting, August 8th, 2017 Portland Oregon.
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    Chapter 7: The normal distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Chapter 6: Population proportions and the binomial distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Chapter 5: Hypothesis testing
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Chapter 4: Probability distributions
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    Getting students to reason with data: QUBES tools and teaching resources built for introductory biology
    Workshop presented at the 2019 Biology Learning Community Conference
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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data­-Driven Teaching Resources
    The NEON FMN has been offered for three semesters with 37 faculty participating, resulted in a wide variety of new and adapted modules being publicly available.

    Keywords: NEON FMN

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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
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