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    Turning ecological research into engaging online modules for undergraduates through Gala/OCELOTS
    Learn how to create and implement online modules in tropical ecology for undergraduates. In an NSF-funded network, researchers and specialists in 4DEE, pedagogy, interactive data tools, and media...
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    Developing a community resource to find and share summer Research Experience for Undergraduates (REU) opportunities
    Instructors can use this module to introduce students to searching for and identifying summer Research Experiences for Undergraduates (REU) online, with a focus on National Science Foundation (NSF)...
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Biobyte 3 - Lab reports as reproducible research
    This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...

    Keywords: data sciencedsube

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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Assessing River Herring Migration Using Nonparametric Analysis
    In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...
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    Calling Bullshit DCS 105 Bates College RByte Worksheets
    These are handout worksheets for your in-class RByte activities.
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    REMNet: Online Resources 5.3.19
    Video on online resources for studying microbiomes from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, Excel Part 3: Organizing Your Microbiome Data 5.3.19
    Video on organizing microbiome using Excel from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Climate Diagrams Mini-Case Study for Ecology
    This mini-case study provides undergraduate ecology students with experience in how to read climate diagrams and how to put them together. The activity includes a discussion of actual and potential...
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    iDigBio Tutorial - BLUE Resource
    A user guide and video instructions for iDigBio
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    Angiosperm Diversity in Pollination Systems
    This activity is designed for upper-level undergraduates and graduate students engaged in ecology and biodiversity sustainability studies. This activity will explore how plant-pollinator...
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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    GBIF Tutorial - BLUE Resource
    A user guide and video instructions for GBIF
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    Arctos Tutorial - BLUE Resource
    A user guide and video instructions for Arctos
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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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    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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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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