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    Walkabout: An Easy to Use, Experiential Learning Activity for Applying Abstract Concepts to the Real-World
    Students can have difficulty recognizing examples of course concepts in the real-world. They particularly struggle with phenomena that are ambiguously defined, have mimics, or are hard to...

    Keywords: data gatheringgreen technologyobservations

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: computationpythonJupyter notebookFunctionscentral dogmaDictionaries

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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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...

    Keywords: R programming languageprimatespopulation ecology

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    The (STEM)2 Network - Sustainable, Transformative Engagement across a Multi-Institution and Multidisciplinary STEM Network (RCN-UBE Introduction)
    Enhance undergraduate STEM education by promoting new and strengthening existing collaborations among biology, chemistry, and math faculty at 2- and 4-year institutions; and support faculty in...

    Keywords: RCN-UBE Introduction

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    STEMCEL - The STEM Career Exploration Laboratory Network (RCN-UBE Introduction)
    In the STEMCEL network, we propose to synergize students’ learning and training while addressing community issues, where student-driven, course-based, research projects will deliver/develop rapid...

    Keywords: RCN-UBE Introduction

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    SOAR - San Francisco Bay Research Coordination Network for Student Opportunities in Avian Research to enhance STEM education and assess human impacts on avian biodiversity (RCN-UBE Introduction)
    The San Francisco Bay Research Coordination Network for Student Opportunities in Avian Research (SOAR) brings together faculty, students, and volunteers to implement an experiential learning and...

    Keywords: RCN-UBE Introduction

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    CONNECT Network - Community of Neighboring and National Entrepreneurial Centers and Trainees Network (RCN-UBE Introduction)
    Our goal is to establish a community of practice that invites entrepreneurs, scientists, educators, and students to share expectations, experiences, and best practices in the field of biosciences...

    Keywords: RCN-UBE Introduction

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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...

    Keywords: idigbioStudy guidedata managementnatural history collectionsBLUEdigitized natural history collectionsidentifiers

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    Green Infrastructure/Green Roofs (Project Eddie)
    Runoff in urban areas is an increasingly important issue when it comes to water quality. It is a major hydrologic issue in New York City, as urban infrastructure creates excess runoff and...

    Keywords: climate changeProject EDDIEWater cycle

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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

    Keywords: RCN-UBE Introduction

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    UNIDE - The Undergraduate Network for Increasing Diversity of Ecologists (RCN-UBE Introduction)
    We aim to build a sustainable network of ecologists, educators, social scientists, and students who are committed to identifying and remedying cultural and social barriers that reduce human...

    Keywords: RCN-UBE Introduction

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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...

    Keywords: computational toolsdata scienceRCN-UBE Introduction

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