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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...
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    Why, when, and how to cite sources of biodiversity specimen data
    This short video and assessment explain why we as scientists should cite our data sources and how we can do this for sources of biodiversity specimen data.
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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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
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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.
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    Phenology Trends and Climate Change in Minnesota (Project EDDIE): A focus on American elm
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees.
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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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    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...
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    Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...
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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
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    adaptations

    Processes that Regulate Patterns of Species and Genetic Diversity
    This activity was developed for an undergraduate upper level ecology course for Environmental or Biological Science majors. Classes of ~20 students work best for the activity.
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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
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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.
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    Biobyte 3 - Lab reports as reproducible research
    This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...

    Keywords: data sciencedsube

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    Exploring the population dynamics of wintering bald eagles through long-term data
    Practice module included in Teaching Issues and Experiments in Ecology (TIEE) Volume 7
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    Exploring the population dynamics of wintering bald eagles through long-term data
    Practice module included in Teaching Issues and Experiments in Ecology (TIEE) Volume 7
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    Data Management Adaptation: Correlating Forest Community Dynamics to Climate
    Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...
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    Climate Change Module (Project EDDIE) for Introductory Statistics
    Students practice and deepen their understanding of bivariate numerical data analysis (correlation, linear regression, etc.) through working with data related to climate change. Adapted from a...

    Keywords: statistics

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    Understanding Global Climate Change: Present, Past, and Future
    Understanding global climate change through the lenses of the present, past, and future, combining modern technology and indigenous knowledge and ways of knowing.
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