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    Louse and Human Coevolution
    This module examines the complicated co-evolution of Lice, Humans, and Great Apes
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    Analyzing current and past climate data (Project EDDIE)
    Students analyze current and past temperature and CO2 data to relate current climate change to climate of the past 450,000 years. Objectives: Are global temperatures and CO2 levels rising? How...
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    Seismology Lab (Project EDDIE)
    OBJECTIVES: • Differentiate P-waves from S-waves • Learn to identify body and surface waves on a seismic record • Learn how seismic waves change as you move away from the epicenter • Use...

    Keywords: Project EDDIE

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    Spectral Seismology Module (Project EDDIE)
    Based on a conceptual presentation of waveforms and filters

    Keywords: Project EDDIE

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    Lake Mixing Module (Project EDDIE)
    Students explore spatial and temporal patterns of lake mixing using high-frequency temperature data from lakes around the world.
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    Soil Respiration Module (Project EDDIE)
    Soils hold more carbon (C) than any other component of the terrestrial biosphere!

    Keywords: Project EDDIE

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    Stream Discharge Module (Project EDDIE)
    Stream discharge is a fundamental measure of water supply in stream systems. Low discharge may cause problems with water supply and fish passage, while high discharge may mean flooding. In this...
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...
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    Investigating human impacts on stream ecology: locally and nationally
    How does nutrient pollution impact stream ecosystems locally and nationally?
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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 the Ecology of Mosquitoes and Birds in Hawaii
    Examining biotic and abiotic environmental factors explain the historic, present, and future prevalence and range of avian malaria in Hawaii. The activity also asks how this affects local...
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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    Predator-Prey Dynamics: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra model in the context of understanding how predator and prey interact. It is intended for an introductory biology audience.
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    Avian Censys Analysis
    This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
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    The Mystery of the Missing Martens
    National Center for Case Study Teaching in Science- this interrupted case study introduces basic modeling to investigate a decline in an American marten population on an island in Southeast Alaska.
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    Regulating Carbon Emissions
    Learn how to incorporate these teaching materials into your class. Find out what's included with each module. Learn how it can be adapted to work in your classroom.
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    Managing Prairie Dogs for Ferret Reintroduction
    This case study explores the ecological relationship between black-tailed prairie dogs and black-footed ferrets.
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    Adapting InTeGrate Materials for Online Courses
    As part of my second mentoring of the InTeGrate FMN for QUBES, I chose to focus on my conversion of several resources to an online course format.
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    Cell Division and Cancer Risk Data Point
    Cancer is typically attributed to hereditary and environmental factors, but these only explain a fraction of overall cancer risk. This activity explores a third factor.
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