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    All About Cod For Grades 3-5
    This activity uses background from The Cod's Tale by Mark Kurlansky and then uses a simple story to engage students in solving problems using several operations and algebraic thinking math standards.
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    All About Cod For Grade 2
    This activity uses data from The Cod's Tale by Mark Kurlansky to engage students in summarizing data in a table and bar graph.
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    Fungus Among Us!
    This game introduces the idea of how fungi and plants can work together in a symbiotic relationship.
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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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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network
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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Database Construction and Sampling
    Creating your own database is an excellent way for students to learn the trials and tribulations of data collection and management. Construction of three simple databases using a spreadsheet is...
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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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    Speed Data Science
    Data visualization is a foundational data science skill. One way to help students begin to learn about data visualization is to tap in to their innate creative instincts. This activity can be used...
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    Investigating human impacts on stream ecology: locally and nationally
    This is a modification of an original TIEE Module, investigating these questions: How does nutrient pollution impact stream ecosystems locally and nationally? How does land cover change impact...
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    GeoPhyl
    This Excel workbook allows students to explore evolution over space and time using published data on the invasive plant Tamarix (salt cedar).
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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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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report...
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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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    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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    Pesticide-Driven Bee Mortality: An Introduction to Survival Analysis in R
    In this lesson, students will receive an introduction to survival analysis in R utilizing data on bee mortality caused by pesticide exposure. In their code, students will assess survivability,...
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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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