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    A Walk Through the Woods
    Data driven curriculum module from Dryad Digital Repository
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    Healing the scars: A tropical rainforest carbon cycling module implemented in a Forest Ecology course
    This publication describes my implementation of this module on tropical rainforest carbon cycling in an undergraduate forest ecology course for majors in the Department of Silviculture and Forest...
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    Biogeography of Hantavirus Hosts
    Using QGIS, this module introduces students to zoonotic pathogens, host biogeography, the "One Health" concept, forming hypothesis, and natural history museums within the Hantavirus system.
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    AVIDA exercise on the role of mutation in evolution
    A tested exercise at the college freshmen level using AVIDA-Ed to generate and test a hypothesis about the relationship between mutation rate and the probability of evolving a useful function in...
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    Luria-Delbruck
    These two workbooks model the evolution of phage resistance in a bacterial population under two alternative hypotheses.
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    The Chi-Square Test
    This module introduces how to determine whether observation is significantly different from expectation in the context of understanding Chi-square Test. It is intended for an introductory biology...
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    21st Century STEM Workforce Skills
    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
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    Generating Biological Hypotheses in a "Course-based Undergraduate Research Experience"(CURE) Course
    Hypotheses are often incorrectly defined as educated guesses or if/then statements. Further confusion arises from the fact that not all disciplines define hypotheses similarly. The difficulty in...
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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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    Avida-ED Experimental Evolution Project
    Outline to a research project based on Avida-ED's digital organisms
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    Exaggerated Traits and Breeding Success in Widowbirds
    Teaching Notes on the Exaggerated Traits and Breeding Success in Widowbirds
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    2017-Xiang_Liu-Mathematical Studies of Optimal Economic Growth Model with Monetary
    In this paper, efforts will be made to study an extended Neoclassic economic growth model derived from Solow-Swan Model and Ramsey-Cass-Koopsman Model.
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    2017-GR_Gustafson-Differential Equations Course Materials
    There are many applications from compartment and cascade analysis, recycling brine tank, home heating with multiple rooms, chemostat, microbes, heartbeats, lidocaine, nutrient flow in an aquarium,...
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    2014-Yahdi-EtAl-Modeling and Sensitivity Analysis of the Role of Biodiversity to Control Pest Damage in Agroecosystems
    The paper provides a mathematical framework for cost-effective and environmentally safe strategies to minimize alfalfa damage from pests in alfalfa agroecosystems with optimal biodiversity levels.
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    2013-Gonzalez_Parra-Arenas-Mathematical Model for Social Security Systems with Dynamical Systems
    In this paper it is proposed a mathematical approach based on dynamic systems to study the effect of the increase in the Social Security normal retirement age on the worker and on the dynamics of...
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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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    GSD QUBES Resource Draft (1)
    This QUBES module is focused towards AP Environmental studies courses. It includes hypothesis testing, transect sampling, Shannon Diversity Index, and scatter plot and bar graph creation in excel.
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    Presence of Vegetation in Relation to Slope in Yosemite Valley, California
    Here we examine the relationship between the slope of a terrain and vegetation, measured by NDVI levels. I used satellite data from Yosemite Valley to analyze and test for statistical...

    Keywords: vegetation

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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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