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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.

    Keywords: data scienceinformation literacydata literacyethicscallin bullcalling bull

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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

    Keywords: RResources @ ESA - TIEEmatrix model

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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull

    Keywords: datacalling bullmisinformationBates CollegeSchedule

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    Calling Bullshit DCS 105 Bates College RByte Worksheets
    These are handout worksheets for your in-class RByte activities.

    Keywords: RActivityGoogle CoLabCalling BullshitRByteData PracticeCoding SkillsSkill development

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    Climate Change’s Impact on Sea Level Rise in a Coastal Marsh Over 20 Years
    In this lesson, students will learn about increasing sea level rise and the direct impacts coastal marshes are facing as a result. Students will learn the importance of coastal marshes, tidal...

    Keywords: climate changewetlandsSea level rise and coastal resilienceCoastal wetlandssalt marshneap tidesspring tides

    252

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    Case Study - Storks vs Babies
    This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation...

    Keywords: Recologycase studyRStudiopopulation ecologybirdsreplicationcorrelationfunnycalling bullpvaluecausationbiostatsalternative explanationconfounding variables

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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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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...

    Keywords: Rdata analysisRStudio

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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...

    Keywords: RRStudioCommunity EcologyBioinformatics Educationbiodiversity informaticsNMDSfungiordination

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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...

    Keywords: biostatisticsR programming language

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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.

    Keywords: Faculty Mentoring NetworkinteractiveSerengeti

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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....

    Keywords: population dynamicsexponentiallogistic equationBarnacle Geese

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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.

    Keywords: ecologyPopulation statisticslife history curves

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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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    Remote Sensing of Plants and Topography in R (Project EDDIE)
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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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...

    Keywords: RRStudioprogrammingsampling distributionProbability & Statisticsrandomnesscontinuous probability distribution

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    Hardy-Weinberg Equilibrium: a swirl resource
    Students will use swirl to understand Hardy-Weinberg equilibrium. The lesson starts with observed numbers of individuals for each genotype, and students will work through a number of steps to...

    Keywords: Hardy-Weinbergpopulation geneticsEvolutionevolutionary ecologyR programming languageSwirl

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    Chi-squared test of independence between two categorical variables
    In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...

    Keywords: data in the classroomdata interpretationprecipitationstream dischargePalmer Drought Severity IndexlidarEcological Disturbancedisturbance ecologyHigh School

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