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    2015-Erzo-Luttmer-Four Models of Knowledge Diffusion and Growth
    This paper describes how long-run growth emerges in four closely related models that combine individual discovery with some form of social learning.
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    Investigating Primary Productivity
    In this 3-part investigation, students discuss, make predictions, and work with data about global scale net primary productivity.
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    Paleoclimate and Ocean Biogeochemistry (Project EDDIE)
    This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be...
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    Paleoclimate and Ocean Biogeochemistry (Project EDDIE)
    This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be...
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    adaptations

    Paleoclimate and Ocean Biogeochemistry (Project EDDIE)
    This module guides students in an examination of how surface ocean productivity relates to global climate on glacial-interglacial timescales and how the availability of ocean nutrients can be...
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    Using the Project Eddie Module “Paleoclimate and Ocean Biogeochemistry” in the Upper-Division Undergraduate Course “Climate and the Earth System”
    Students explore and compare datasets on modern nutrient concentrations and productivity, as well as paleo datasets to try to answer the question: “How does primary productivity influence global...
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    Learn Biological Sciences and Mathematics through cellular respiration, photosynthesis and primary productivity.
    Photosynthesis is a process by which plants synthesize glucose and oxygen in presence of sunlight through light dependent reactions by utilization of sunlight, water to synthesize oxygen, ATP and...
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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...
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    Painting turtles: an introduction to species distribution modeling in R
    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.
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    The Impact of Diversity on Group Productivity Within Online Faculty Mentoring Networks (FMNs) of Educators
    Poster presented at the University of Pittsburgh undergraduate research symposium on the impact of diversity on productivity in faculty mentoring networks.
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    Chapter 7: The normal distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Chapter 6: Population proportions and the binomial distribution
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    GeoPhyl
    This Excel workbook allows students to explore evolution over space and time using published data on the invasive plant Tamarix (salt cedar).
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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    1957-Axelrod_ Brady_Witkop_Evarts-The Distribution and Metabolism of Lysergic Acid Diethylamide
    The development of a specific and sensitive method for the estimation of LSD in biological materials has enabled us to study the tissue distribution, excretion, rate of biotransformation, and...
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    Quantitative biology: how educators that "buy-in" demonstrate greater productivity in teaching scholarship
    Poster presented at the University of Pittsburgh undergraduate research symposium on the impact of buy-in on productivity in faculty mentoring networks.
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    3-069-HeatInBar-ModelingScenario
    The temperature distribution along a uniform slender bar due to conduction and convection is investigated through experimental, analytical, and numerical approaches.
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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