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    Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
    In this lesson, students will learn more about the wildlife disease known as white nose syndrome and how it affects certain bat species more than others. Students will learn about the important...

    Keywords: ecologyconservationRStudiobatslogistic regressionGLMWildlife DiseaseWhite nose syndromelittle brown batsmyotis lucifugus

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    Settling the Debate: How does nutrient enrichment affect salt marsh resilience to sea level rise?
    This is a lesson aimed at Environmental Studies students from High School and up, we hope that students will be able to further their understanding of the ecological impact of humans, as well as...

    Keywords: statisticsRecologytool:rstudioANCOVAwetlandssalt marshesstable isotopesAnthropogenic ImpactsTidal WetlandWetland Ecologyaccretiongreenhouse gas effect

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    Assessing River Herring Migration Using Nonparametric Analysis
    In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...

    Keywords: testR Markdownfisheries scienceanadromouschesapeake bayriver herringfisheries managementelectronic fish counterblueback herringalewifevirginiachickahominyriverwalker's damnonparametricwilcoxonsignedranknormalityfish migration

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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...

    Keywords: regressionfisheriesmonitoringrecruitmentstriped bassmoratoriumfish biologyfisheries ecologyspawninganadromousyoung of the yearrelative abundancechesapeake bayfish population

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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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    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...

    Keywords: tool:rstudiolandscape ecologyStream ecologyBox Plotsland usespatial analysisEutrophication

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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

    Keywords: VideoMicrobiology EducationR programming languagemicrobiomesCoastal wetlandsmanagementnortheastsea-level risesalt marshresearch in the classroomREMNeturban microbiomes

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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    Keywords: geneticsstatisticsdata analysisgraphingRStudioVideoexperimental designR programming languagemicrobiomesstudent researchinterdisciplinary educationlimnologyeco-informaticsresearch in the classroomtidyverseWorking with datasetsREMNet

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    Computational Biology using R
    This is an introductory level course on computational biology.

    Keywords: simulationmoduleRcourseprojectsolutions

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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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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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    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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    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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    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,...

    Keywords: chi-squaredsurvivalbeespesticidesRoundupsurvival analysissurvival plotsherbicides

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    Water We Doing: A Deep Dive Into Sustainable Ocean Management & Blue Economies
    This lesson explores the concept of blue economies and includes a detailing lesson in R that involves basic statistics and building complex graphics.

    Keywords: linear regressionRStudioblue economy

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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...

    Keywords: Rundergraduate educationheat mapsCOVID19coronavirusSARS-CoV-2GIF

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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Climate change and Strawberries: A real-life problem-based activity for teaching ANOVA
    This is a real-life lab activity for teaching ANOVA using Problem-Based Learning and formatted for one-day (JMP or R) or two-day (JMP) implementations.

    Keywords: climate changeProblem based learningANOVAplant sciencetwo-way ANOVA

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    Spotting Interactions: Spotted Salamanders, Beneficial Buffers, and Helpful Hydroperiods
    The purpose of this lesson is to help us better understand how we are able to conserve wetland-dependent wildlife. We will be exploring, manipulating, and analyzing data in R using a Poisson...

    Keywords: Poisson Distributionsalamandersvernal pools

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    Ocean Acidification: Predator-Prey Interactions of Intertidal Snails and Sea Stars
    This lesson discusses ocean acidification, its causes, and the potential dangers that it may pose to aquatic ecosystems by analyzing the relationship between intertidal invertebrates. While...

    Keywords: predator-prey interactionsocean acidification

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