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    Diseasebots HEXBUG Lab
    This module explores the effects of host density on contact rates and transmission of pathogens using a hands-on experiment with HEXBUG robots.
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    Drivers of Avian Local Species Richness: Continental-Scale Gradients, Regional Landscape, or Local Land Cover?
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 8
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    Analyzing interesting images motivates mathematics and statistics learning
    Presentation by Jeremy Wojdak made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual...
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    2015-Eric_Sullivan-Numerical Methods_An_Inquiry-Based_Approach_with_Python
    This is an OER effort on the part of Eric Sullivan to explore the joy of numerical methods. He has provided several versions.
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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE.
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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE.
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    Hypoxia: A Case Study in R
    Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have...
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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE.
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    Climate Change Module (Project EDDIE) for Introductory Statistics
    Students practice and deepen their understanding of bivariate numerical data analysis (correlation, linear regression, etc.) through working with data related to climate change. Adapted from a...

    Keywords: statistics

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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE. This module was adapted for students using R and RStudio.
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    Introductory Video and worksheets on Module 1 and 2 on "Sequence Similarity: An inquiry based and under the hood..."
    The video walks the students to complete Module 1 and 2 on Sequence Similarly and Alignment adapted from Tapprich (2019) and Hudson Alpha that teaches these modules within the context of the...
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    Remote Sensing of Plants and Topography in R (Project EDDIE)
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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    HITS: A network to create inquiry-based case studies that make high-throughput approaches and discovery accessible
    HITS brings together interdisciplinary groups of HT researchers and instructors to produce authentic HT case studies that can be implemented in a variety of courses, allowing students to analyze...
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    Climate Change Module (Project EDDIE)
    Students explore how climate is changing from the recent record. Produced by Project EDDIE.
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    Cross-Scale Interactions (Project EDDIE)
    Students explore new modeling and computing tools while learning fundamental concepts about how lake phytoplankton blooms occur through cross-scale interactions.
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    Climate Change Effects on Lake Temperatures (Project EDDIE)
    Students explore new modeling and computing tools while learning fundamental concepts about how climate change will affect lakes
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    Passion-Driven Statistics as a Course-Based Undergraduate Research Experience (CURE)
    Session presentation on passion-driven, project-based experience in statistics at the 2018 QUBES/BioQUEST Summer Workshop
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    Course materials for Quantifying Environmental Justice
    Course materials for Quantifying Environmental Justice, taught as Environmental Science 4201 at University of Minnesota, Morris in Spring 2023. Description: The concept of justice has received...
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    Interconnections in The Open Ecosystem
    Presentation on open education and open science given as the keynote address at the 2019 BioQUEST & QUBES Summer Workshop
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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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