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    GSEAtheory
    Brief introduction to how gene set enrichment analysis works.
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    Phylogenetic analysis using collections material: interpreting trait evolution by comparison of morphological and molecular genetic hypotheses
    Exercise spans two weeks, includes homework, and involves some groups of animals as well as plants. Emphasizes re-interpretation of morphological trait evolution following molecular genetic...
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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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    Globally endangered sea turtles of the Palmyra Atoll National Wildlife Refuge: A Focus on Scientific Analysis
    Based on the sea turtle case, students will (1) work on a worksheet by analyzing existing survey data, (2) conduct a literature review of two relevant research, and (3) draft a proposal for a...
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    Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment
    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...
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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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    Natural Selection and Galápagos Finches
    A worksheet and accompanying data set that guides students through making and interpreting frequency distributions, selection differentials, and fitness functions.
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    Spreadsheet Data Analysis Terms and Shortened Tutorial 4
    Introductory students are asked to learn terms for descriptive statistics and complete a matching exercise. Tutorial 4 was shorted to just the full calculations of t values.
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    Quantitative Reasoning Learning Progression
    Three articles about the work of a project on quantitative reasoning in the context of environmental literacy.

    Keywords: quantitative

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    Datasets for Whitlock & Schluter's "The Analysis of Biological Data"
    Link to data sets used in The Analysis of Biological Data . All data are in CSV format.
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    Teacher Guide: Math and Statistics
    Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...
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    AIM-UP! GIS and bats lesson
    This lesson introduces the use of GIS (geographic information systems) in the study of biological questions, using bats as the model organism. This activity requires access to GIS software.
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    Modifying HHMI Anole Resources: Using Image J to Quantify Ecomorphs and Tree-thinking to Explore Evolutionary Hypotheses
    I recombined the HHMI resources to have the students perform the image analysis from Virtual Lab 1 in Image J and explore the evolutionary principles in the Lizard Phenology modules
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    Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
    Resource from the 2015 BioQUEST Summer Workshop
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    Undergraduate Research Experiences in Computational Science at a Community College
    Resource from the 2015 BioQUEST Summer Workshop
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    Mapping Coral Bleaching Modified with NOAA and Authentic Bleaching data
    Students access NOAA data to conduct an analysis to look at differences between locations in heat stress and ultimately the amount of coral bleaching in 2005
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    Quantitative reasoning: Interdisciplinary STEM 21st century reasoning modality
    Resource from the 2015 BioQUEST Summer Workshop
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    Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom
    Resource from the 2015 BioQUEST Summer Workshop
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    Tutorial Combination and Assessment
    The tutorial adaptation specifically addresses data types (i.e., numeric versus categorical variables) and the types of graphs that are used to summarize the different data types.
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    Winter is Coming! Data Nuggets Module - Adapted for Preservice Elementary Teachers
    Adaptation of Data Nuggets Module Winter is Coming! for an Elementary Education Science Methods Course
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