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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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    1-078-MonodGrowthModel-ModelingScenario
    Students model growth of bacteria E. coli in a limiting nutrient environment using data from a historical study.
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    Module 4: What Kind of Data Goes in a Field Notebook?
    The goal of this activity is to introduce students to biological field notebooks and how they are used by scientists during field work. Specifically, students will learn what a botanist collecting...
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    Mapping New Discoveries: iNaturalist and Biodiversity Data
    Meet Lauren Esposito, the Curator of Arachnology at the California Academy of Sciences. Learn how they use community science to inform new species discovery.
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    5-024-PhGreatLakes
    In this teaching modeling scenario, we demonstrate how lessons on salt-tank compartmental modeling can be used to predict phosphorus levels in the Great Lakes.
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    2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations
    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.
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    3-013-WhiffleBallFall-ModelingScenario
    We are given data on the time and position of a whiffle ball as it falls to the ground. We attempt to model the falling ball and we confront the different resistance terms and models.
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    3-041-UpDown-ModelingScenario
    Shoot a projectile straight up in the air. Determine maximum height the projectile will go. Consider time T(a) (0 < a < 1) it takes between when the projectile passes distance a.H going up and...
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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...
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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...
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    Plate Tectonics: GPS Data, Boundary Zones, and Earthquake Hazards (Project EDDIE)
    Students work with high precision GPS data to explore how motion near a plate boundary is distributed over a larger region and hypothesize the area over which boundary-related earthquake hazards...
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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...
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    Introduction to R with Biodiversity Data
    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...
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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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    Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)
    The Environmental Data Science Inclusion Network (EDSIN) was launched in the spring of 2019 following an NSF INCLUDES conference. This poster, summarizing the event, was presented at the 2019...
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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
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    Electronic Lab Notebooks: Options for Building Data Management and Quantitative Reasoning Skills
    Presentation on Electronic Notebooks and Lab Archives given at the 2019 BioQUEST & QUBES Summer Workshop
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    Calling Bull in an Age of Big Data with R
    Use the calling bull course to introduce students to data, ethics, visualization, and R.
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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...
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