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    Sleep and Learning Lab
    Students use sleep and exam data from Introductory Biology students to investigate the question: Does a circadian rhythm, the sleep-wake cycle, influence an important mammalian adaptation, the...
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    Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
    In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...
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    The Polar Bear of the Salt Marsh? Warming Tolerance Limits of Local Species
    National Center for Case Study Teaching in Science- In the adaptation exercise, students explore connections between saltmarsh sparrow declines and declining populations of local species that live...
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    The Influence of Exotic Plant Invasion on Pollinator Abundance
    This lesson introduces two global change factors, natural habitat loss and exotic plant invasion, and analyzes how these stressors impact the biodiversity and abundance of pollinator species....
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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    BioNumbers: The Database of Useful Biological Numbers
    A database of biological numbers that you can search and browse.
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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    Population Demography in Swirl
    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
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    Making Predictions with Linear Models: A Murder Mystery Case Study
    This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.
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    Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2
    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...
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    Developing quantitative skills for ecological data: the effects of climate warming on phenological variation and species interactions
    Students combine long-term observational data sets and experimental warming in an alpine meadow in Gothic, CO to test, evaluate, and interpret ecological data focusing on phenological variation and...
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    Diseasebots
    This module explores the effects of host density on contact rates and transmission of pathogens or mutualist symbionts using a hands-on simulation, a computer agent-based model in NetLogo, and an...
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    Data management and introduction to QGIS and RStudio for spatial analysis
    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...
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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
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    Climate Change and Phenology: Evaluating Temperature, Precipitation, and Phenology of Frogs and Toads in Minnesota
    Students evaluate long term (100+ years) trends in temperature and precipitation, and then isolate a shorter time span (20 years) in which to evaluate the correlation between spring temps and the...
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