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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...
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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...
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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Facilitating Scientific Literacy Through Writing: A Write-to-Learn Assignment for Large Introductory Undergraduate Biology Courses
    Write-to-learn (WTL) assignments have been used in a variety of disciplines to encourage conceptual learning and critical thinking in undergraduate education. These assignments focus on...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Learning How to Make “Good Enough” Estimations
    The ability to estimate physical quantities is a useful skill that can help develop critical thinking and scientific literacy. This lesson provides an accessible way to teach students how to...
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    3d Naturalists - Bioblitzes, Citizen Science, and Undergraduate Learning (RCN-UBE Introduction)
    Citizen science and the associated new technological ability to crowdsource data may be the gateway for engaging the public in the science needed for the management, protection, and stewardship of...
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    How We Help: Human elements of restoration ecology
    In this lesson, students recall the basics of restoration ecology, interpret and predict several graphs that explain restoration manager characteristics, and reflect on an interview with...
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    The Tentative Nature of Science
    This part focuses on the tentative nature of science
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    ENCOUR - Ethics Network for Course-based Opportunities in Undergraduate Research: Phase II (RCN-UBE Introduction)
    The Ethics Network for Course-based Opportunities in Undergraduate Research (ENCOUR) seeks to explore effective ways to integrate responsible & ethical conduct of research (RECR) education into...
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    BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...
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    Identifiers in Digital Natural History Collections
    This is a collection of resources focusing on GUIDs (Globally Unique Identifiers) on what they are, what role they play in digital natural history collections, and how to incorporate them in...
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    The Power and Limits of Science
    This part focuses on the power and limits of science
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    The River Field Studies Network: Connecting rivers, people, & science through immersive field-based education (RCN-UBE Introduction)
    Connecting rivers, people, & science through immersive field-based education
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