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    DIGging Into Data and getting the credit
    Presentation on using and adapting OER data-centric resources
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    NEON data in undergraduate ecology courses: Data skills and learning opportunities
    Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America...
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    Data is the New Science
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Antibiotic Resistance Genes Detection in Environmental Samples
    Our aim is to provide an authentic research experience for undergraduate students in a variety of biology courses through collaboration between a four-year university and a community college. This...
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    A Laboratory Module That Explores RNA Interference and Codon Optimization Through Fluorescence Microscopy Using Caenorhabditis elegans
    Scientific research experiences are beneficial to students allowing them to gain laboratory and problem-solving skills, as well as foundational research skills in a team-based setting. We designed...
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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.
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    Supplemental Materials for Beagle Investigations Return with Darwinian Data Manuscript
    Supplement 1 contains an example laboratory exercise for introducing the BIRDD resources. Supplement 2 contains a list of web accessible data resources to supplement the existing BIRDD resources.
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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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    Exploring Data with BISON
    A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.
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    Small Organisms with Big Consequences: Understanding the Microbial World Around Us
    Creating a hands-on lab that conveys important information while simultaneously allowing for student autonomy can be difficult. This is particularly true for the field of microbiology, in which...
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    Fly Exercise: A Simple Experiment to Test the Physiological Effects of Exercise on a Model Organism
    Model organisms are commonly used to study and experimentally explore biological processes in ways that are technically or ethically not possible in humans. For this reason, model organisms are an...
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    REMNet Tutorial, Excel Part 2: Understanding Your Microbiome “Data Summary” Document 4.25.19
    Video on understanding microbiome data from the Research Experiences in Microbiomes Network
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    Morphological, Anatomical and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological, anatomical and molecular data, and compare.
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Exercise 10 [Elevation]
    Supplemental data for ABM
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    Using primary literature to teach data literacy
    Presentation by Bridget Conneely made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of American...
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    Using Yeast to Make Scientists: A Six-Week Student-Driven Research Project for the Cell Biology Laboratory
    Traditionally-trained undergraduate students often lack an understanding of science as an active process that yields the information presented in their textbooks. One result has been a call for...
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    A Modeling Exercise in Sexual Selection using a Student-Created Bird Species
    Evolution-centered lessons at the undergraduate level can often be jargon-heavy, propagate misconceptions if taught ineffectively, and be uninteresting to students who may not see the relevancy of...
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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...
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    Machine Learning Meets Medicine with Jenessa Peterson
    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...
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