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    Introduction to Bionomia
    This module introduces students and instructors to Bionomia, a database that highlights the collectors and identifiers of natural history specimens. It aims to foster appreciation for these...

    Keywords: ORCIDidentitynatural history collectionscourse-based research experiences (CUREs)AttributionBCEENETRepresentationWikidatahidden figuresdata democratizationrestorative practicerestorative justiceBionomia

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    The Importance of an ORCID
    This lesson introduces students and instructors to the use of ORCIDs (Open Researcher and Contributor ID), and walks students through the process of registering for an ORCID. This module also helps...

    Keywords: ORCIDidentitysocial justicecourse-based research experiences (CUREs)AttributionBCEENETdigitizationRepresentationhidden figuresdata democratizationrestorative practice

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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)

    Keywords: biostatisticsR programming languageSwirl

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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 the footprint of climate change on phenology and ecological interactions in north-central North America
    Practice module included in Teaching Issues and Experiments in Ecology (TIEE) Volume 10

    Keywords: Resources @ ESA - TIEEclimate changephenologyspecies diversityproblem set

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    MathBench: Biodiversity Assessment of Stream Biota
    The MathBench module, "The Case of the Missing Mountaintop" introduces students to the concept of biodiversity and measures used to quantify biodiversity and stream health. Students investigate the...

    Keywords: ecology labCommunity Ecologyenvironmental scienceconservation ecologyStream ecology

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    Lesson II - Databases
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson II introduces the principal databases for microbial...

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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    Databases: A Study of Influenza
    This lesson introduces the student to the Influenza Research Database. Students will select Influenza genome sequences to see how they are related. Students tests hypotheses about evolutionary...

    Keywords: Bioinformatics EducationBioinformatics and Genomicsmolecular evolutionInfluenza

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    Lesson IV - Comparative Genomics
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson IV, Comparative Genomics, discusses some of the tools...

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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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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    What the Mendel
    Students practice hypothesis testing using Mendelian genetics for monohybrid and dihybrid crosses. Both corn and Wisconsin Fast Plants are employed.

    Keywords: geneticsplantsmendelian inheritancephenotypecotelydoncornWisconsin fast plants

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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.

    Keywords: ProbabilityExcelcalling bullMammogramsData UnderstandingVisualizing Outcomes

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    Pennies to The Moon Data Byte Series
    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.

    Keywords: RprogrammingOpen SourceOpen Sciencedata literacycalling bullProgramming practiceFermi EstimationChatGPTGoogle CoLab

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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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    Calling Bull Case Study — 99.9% Caffeine-free with R
    This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.

    Keywords: Rcase studyRStudiointroductionPercentagescalling bullstoichiometrycaffienescripts

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    Phenotypic plasticity and predation
    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    Keywords: RExcelimage analysisgraphingt-testsfrequency histogramsdata visualizationANOVAhypothesis formulationpredator-prey interactionsphenotypic plasticity

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    Phenology Trends and Climate Change in Minnesota (Project EDDIE)
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own...
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    Lesson III - Annotation
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all...

    Keywords: Bioinformatics EducationBioinformatics and Genomics

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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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