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    Invasion, Restoration, and Response: Assessing changes in arthropod community assemblage using both parametric and non-parametric approaches
    This lesson, which is based around a recently published paper in the Journal of Ecological Applications, introduces students to both parametric and non-parametric approaches to statistical analysis...
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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...
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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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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...
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    Choose Your Own Adventure: Control a Wildlife Disease Epidemic
    This educational game allows teams of students to try to control a simulated epidemic in United States snake populations using their epidemiological and ecological knowledge. It combines a "choose...

    Keywords: educational game

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    Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean
    A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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    The River Breathes: Stream reach metabolism as an integrative and comparable measure of stream processes
    Stream reach metabolism integrates organism respiration & production to provide a valuable ecosystem measure that varies as a function of biotic & abiotic factors. As a powerful indicator of whole...
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    Understanding COVID-19 Biology to Design a Vaccine - Ethics supplement
    The adaptation to Understanding COVID-19 Biology to Design a Vaccine entails two ethics supplements. The first supplement addresses the use of off-label drugs in the pandemic (or other situation)....
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Environmental Drivers of Ecosystem Carbon Fluxes from Minutes to Years
    Students build on fundamental concepts of ecosystem production and carbon cycling, combining this knowledge with open long-term data from ecological and meteorological networks to uncover the...
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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...
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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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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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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling
    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.
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    Working with spreadsheet-style data in Python with pandas and seaborn
    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...
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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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    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...
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