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    Traditional Ecological Knowledge and Conservation
    Traditional Ecological Knowledge (TEK) is based on deep understanding of systems from observations made over hundreds to thousands of years. This resource connects TEK to modern conservation...
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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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    Species Conservation Management Plan Report and Class Exercise
    In this project, students work in pairs to become an expert in their assigned IUCN Red List endangered species. They are charged to create a well-researched, written conservation management plan....
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    Managing Prairie Dogs for Ferret Reintroduction
    This case study explores the ecological relationship between black-tailed prairie dogs and black-footed ferrets.
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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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    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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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.
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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
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    Analyzing Nutrient Simulation Experiments with a one-way ANOVA
    We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
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    Urban stream invaders: a scientist spotlight featuring Dr. Piatã Santana Marques
    Students read and interpret data from a study which addresses how urbanization affects the invasive attributes of a non-native species. They also reflect on the identity of the lead researcher and...
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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
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    NEON Data in the Classroom: Implementing and Adapting an Open Education NEON Resource “Quantifying the Drivers and Impacts of Natural Disturbance Events-The 2013 Colorado Floods” for the Southern California Classroom.
    Natural disasters and subsequent ecological disturbance events illustrate the complexity of problems in ecology and environmental science, and can be used as effective teaching tools. Unpacking the...
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    Flow regime and the National Ecological Observatory Network (NEON) wadeable stream sites
    This resource uses discharge data from three of NEON's wadeable stream sites to illustrate how streams can differ in their flow regimes using graphical analysis of annual hydrographs.
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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    Implementing Flexible Learning Projects to support authentic research experiences in Ecology (BIO 3317) at McDaniel College
    This adaptation highlights the utility of the Lichens in YOUR Local Landscape module for teaching field skills, quantitative analysis across scales, and for writing research papers.
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    Teaching logistic population growth and ecological modelling
    The lesson is designed to 1) teach students about the concept of logistic population growth, growth rates, and carrying capacity and 2) provide a basic introduction to ecological modeling and...
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    Avian Censys Analysis
    This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
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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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