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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    Quantifying and Visualizing Campus Tree Phenology
    Large enrollment courses present a challenge for instructors who want to engage students in authentic science practices that fit the recommendations of Vision & Change. Our lesson provides a...
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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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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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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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    Ingestion of Microplastics by Coral
    QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.
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    Moths and Frogs and E. coli, Oh My!: Agent-based Modeling of Evolutionary Systems
    In evolution classrooms, introducing and reinforcing the idea of genetic drift and random selection can be challenging, as can be reinforcing appropriate mental models of evolution. Agent-based...
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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...
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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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    2011-Steven_Desjardins-Remi_Vaillancourt-Ordinary_Differential_Equations_Laplace_Transforms_and_Numerical_Methods_for_Engineers
    This text is packed with worked out presentations, problems, and exercises (with solutions) and MatLab code. There is sufficient detail and attention to topics to more than address interests/needs...
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    6-026-IsleRoyaleModeling-ModelingScenario
    The primary aim of this project is to draw a connection between differential equations and vector calculus, using population ecology modeling as a vehicle.
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    Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation
    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    2018-Van_Kinh Nguyen-Esteban_Hernandez-Vargas-Parameter estimation in mathematical models of viral infections using R
    Mathematical modeling has played a central role to understand mechanisms in different viral infectious diseases. In this approach, biological-based hypotheses are expressed via mathematical...
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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.
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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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    Sequence Similarity: A Quick Introduction to Bioconductor
    Following the Sequence Similarity exercises by Kleinschmit, et al., this tutorial will guide students in using the Bioconductor suite of R packages to likewise compute sequence similarity.
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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    SEIR simulation activity for flattening the curve
    This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...
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