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    Biobyte 2 - Exploratory data analysis
    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    Keywords: data sciencedsube

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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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    Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias
    Data driven curriculum module from Dryad Digital Repository
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    STEM Inclusive Teaching Practices Webinar Series: Socially Relevant Teaching in the Time of COVID-19
    Presents various mathematical modeling and data science activities created around analyzing and interpreting COVID-19 data. Much of the instructional guidance provided for the activities and...
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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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    Large Datasets in R - Plant Phenology & Temperature Data from NEON
    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...
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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.
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    Performing a Population Viability Analysis from Data Students Collect on a Local Plant
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9
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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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    2020-TeachingModule-ModelingNonlethalInfluenzaEpidemic
    We discuss the modeling efforts and tools for success in modeling the spread of nonlethal influenza in an English boarding school
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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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    Too much of a good thing? Exploring nutrient pollution in streams using bioindicators
    Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize,...
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    Spreadsheet Data Analysis Tutorial Series
    This series of self-paced tutorials show how to analyze data using a spreadsheet program.
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