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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
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    1997

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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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    The Mystery of the Missing Martens
    National Center for Case Study Teaching in Science- this interrupted case study introduces basic modeling to investigate a decline in an American marten population on an island in Southeast Alaska.
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    The Polar Bear of the Salt Marsh?
    National Center for Case Study Teaching in Science- in this interrupted case study, students follow a young naturalist as she explores why saltmarsh sparrows are increasingly rare in coastal...
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
    1286

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    1402

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    Computational Biology using R
    This is an introductory level course on computational biology.
    1586

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    446

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    Fitzhugh-Nagumo Model
    The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).
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    BIO103R: Bio 103 and 104 Labs in R at URI
    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    Keywords: R

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    150

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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
    993

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    167

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    BIO 181G: The information age
    Course materials for BIO181G: The information age
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    178

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    Data from: Advancing population ecology with integral projection models: a practical guide
    Review important resources for building IPMs and provide a comprehensive guide, with extensive R code, for their construction.
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    151

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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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    1645

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    Web Popgen
    A Hardy-Weinberg simulation program.
    1947

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    318

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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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    R Reference Card
    Summary of reference info for using R

    Keywords: Rreference card

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    Rstudio cheatsheets
    Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.

    Keywords: R

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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.
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    Ecology and Epidemiology in R
    Ecology and epidemiology in R: Modeling dispersal gradients.
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    186

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