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    Biostatistics using R: A Laboratory Manual
    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 to...
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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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    A Critical Guide to the PDB
    This Critical Guide in the Introduction to Bioinformatics series provides a brief outline of the Protein Data Bank – the PDB – the world’s primary repository of biological macromolecular structures.
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    Case Study — World records as measures of senescence or randomness
    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...
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    Anti-bias Education Puppet Plays
    Nature provides science content for teacher preparation certification programs and the backdrop for puppet plays used as a springboard for teaching the NAEYC's four goals of Anti-bias...
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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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    The Power of Data Standards
    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.
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    Diving into Deep Sea Data
    A module that combines NOAA's Okeanos Explorer and the iDigBio Portal to explore the deep sea!
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    21st Century STEM Workforce Skills
    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
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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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    Testing hypotheses about the role of wildfire in structuring avian communities
    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...
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    The QUBES Resource System: Integrating open educational practices into diverse education reform communities
    Presentation on the QUBES Resource System given at the 16th Annual Open Education Conference
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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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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    Investigating Primary Productivity
    In this 3-part investigation, students discuss, make predictions, and work with data about global scale net primary productivity.
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    The ml4bio Workshop: Machine Learning Literacy for Biologists
    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference
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    Investigating Biomes with BiomeViewer
    This interactive classroom activity facilitates student learning about biodiversity through an investigation of biomes (what they are, how they're defined, their global distribution) using a free...
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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...
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    Species Range Over Space and Time
    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
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