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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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    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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    Before You Start Publishing on QUBES
    This handy guide follows the Instructions for Authors to keep together all the text that can then be copied during the publication process. Notes and comments in this document are italicized so...
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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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    CUNEL - Connectomes for Undergraduate Neuroscience Education and Learning (RCN-UBE Introduction)
    The Connectomes for Undergraduate Neuroscience Education and Learning (CUNEL) project seeks to bring cutting-edge neuroscience methods into undergraduate classrooms and laboratories in order to...
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    Fatty Acid Induction of Lipid Droplets in Cancer Cells
    There is a growing need for the development and communication of cell culture-based laboratory activities specifically designed for undergraduate students. This multi-week laboratory activity...
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    YEAH - Youth Environment Alliance in Higher Education (RCN-UBE Introduction)
    The Youth Environment Alliance in Higher Education (YEAH) Network links academic institutions together to provide integrated knowledge that empowers students to address complex global environmental...
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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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    REC Network - Deepening and Expanding the Mission and Outcomes of the Re-Envisioning Culture Network (RCN-UBE Introduction)
    The Re-Envisioning Culture Network (REC Network) is a group of diverse individuals across institutions of higher education, STEM careers, K-12 education, Black cultural spaces, the arts, and the...
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    AK UNiTE - Alaska Undergraduate Research Experience: Partnering for Alaska Students by Growing Recruitment and Retention through Undergraduate Research (RCN-UBE Introduction)
    AK UNiTE is a network that supports research mentors in culturally sensitive mentoring practices, offers place-based research opportunities throughout Alaska to empower Alaskan students to become...
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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...
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    Biodiversity Counts! Making sense of diversity metrics and graphs
    In this lesson students 1) become familiar with various graphs that are used to study diversity patterns within and across sites, 2) learn about some of the questions that can be addressed by...
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