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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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    ImmunoReach: Incorporating Immunology into the Curriculum to Promote Interdisciplinary Science Education (RCN-UBE Introduction)
    This is an interdisciplinary faculty community of practice, that connects immunology educators with faculty in other biology disciplines, with an intention to increase access to concept-focused...

    Keywords: RCN-UBE Introduction

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    A Potential Novel Ecosystem Service: Seagrass Meadows Reduce Disease in Nearby Corals
    In this lesson, students will receive an introduction to Poisson Generalized Linear Mixed Models in R utilizing data on coral diseases. In their code, students will assess if seagrass status has an...

    Keywords: environmental scienceseagrassecosystemcoral reefsEcosystem Services

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    NEON Data in the Classroom: Quantifying Spatial Patterns
    Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...

    Keywords: RR Markdownlandscape ecologygroup-neon2018spatial statisticsfractalsrasters

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    REMNet Tutorial, Excel Part 6: Making Microbiome Column Charts 5.3.19
    Video on creating column charts in Excel from the Research Experiences in Microbiomes Network

    Keywords: ExcelVideoMicrobiology Educationmicrobiomesresearch in the classroomREMNeturban microbiomes

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    EvolSeq
    An Excel worksheet that simulates the molecular evolution of DNA sequences.

    Keywords: EvolutionExcelmolecular evolutionDNAResources @ ESTEEM

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    Biogeography of plant-associated fungi: who lives where and why?
    This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial...

    Keywords: small group activityinquiry-based learningbiogeographymicrobial ecology

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    Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
    Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...

    Keywords: Vision and ChangeRRStudioquantitative literacystatistical analysisScientific communication

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    Calling Bullshit DCS 105 Bates College Breakout Group Slides
    This is a slide deck containing all breakout group slides for the course DCS 105 - Calling Bullshit at Bates College.

    Keywords: Ropenteam workgroup workslidescolabDCS 105Calling Bullshit

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    Calling Bullshit Bates College DCS 105 RByte Slides
    This slide deck is a mix of in-class participation and coding activities which aims to formalize understanding of code.

    Keywords: RIntroductorybatescolabDCS 105Calling Bullshit

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    2012-Ogunrinde-Sunday-On some models based on second order differential equation
    This paper presents some models based on second order differential equations. Such models include interaction between different kinds of species in an environment and pricing policy for optimum...

    Keywords: species interactionpricing policyoptimal inventory

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    1991-JR_Lobry-P_Flandois-Comparison of Monod's Growth Model Parameters from the Same Data Set
    The paper obtains the parameters in Monod's Growth model using a minimization of the sum of square errors with a given data set and obtains confidence intervals

    Keywords: Confidence intervalssum of square errorslinearizationgrowthModo Growth model

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