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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
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    Optimal Foraging in Swirl
    This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and...
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    Calling Bull in an Age of Big Data with R
    Use the calling bull course to introduce students to data, ethics, visualization, and R.
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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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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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    6-017-OncolyticViruses-ModelingScenario
    Students explore oncolytic virotherapy using systems of differential equations and numerical simulations.
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    Amino Acid Frequency
    This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.
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    Politeness Data
    The dataset recorded properties of formal and informal speech registers in Korean.

    Keywords: linguistics

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    Using DNA Subway to Analyze Sequence Relationships
    This is a bioinformatics exercise using the DNA Subway Blue Line, a user-friendly pipeline of bioinformatics tools, to analyze a collection of mosquito DNA bar-code sequences.
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    THE IMPORTANCE OF GREEN SPACES & NATIVE PLANTS TO URBAN AVIFAUNA: A Lesson on how urban residential yards can support birds during their annual cycle
    In this lesson students will learn about the impacts of urbanization, and the conservation challenges it poses to wildlife, in particular avifauna. Introductory ecology topics such as the theory of...
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    Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
    Resource from the 2015 BioQUEST Summer Workshop
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    NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey
    Students use dead wood (saproxylic) fungi occurrence data from New Jersey, USA collected by students and faculty of Kean University to learn the basics of community ecology. Simple NMDS ordination...
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...
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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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    Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper
    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...
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    Snapshot Serengeti Faculty Mentoring Network, Summer 2022
    The goal of our summer 2022 FMN was to develop a client-side interactive dashboard that allowed students to visualize and analyze data from the Snapshot Serengeti camera-trap research project.
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    2000-Armson-Cockroft-Stone-Modelling a barnacle goose population
    This paper explores a number of models for the growth of a barnacle goose population. These geese spend their summers breeding in Spitsbergen and then winter in Caerlaverock on the Solway Firth....
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    Population Demography in Swirl
    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
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    Single Factor Analysis of Variance (ANOVA)
    This swirl lesson introduces students to theoretical and practical concepts about single-factor ANOVA analysis and an approach to conduct this type of analysis using R.

    Keywords: ANOVATukey HSD

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