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    Links to Avida-ED spreadsheets for Active LENS and BioQUEST 2018
    Avida-ED materials and resources for Active LENS and BioQUEST 2018.

    Keywords: avida-edSummer Workshop 2018

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    Characterizing the Quantitative Biology Curricula from Institutions Across the United States
    Undergraduate research poster presented at the Undergraduate Research Symposium at the University of Pittsburgh in 2015.

    Keywords: Mathematical Biologycurriculumundergraduate researchinterdisciplinaryPresentation

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    Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab
    In response to the growth of biology datasets and broad efforts to digitize data, an increasingly important skill for science students is the management and analysis of large datasets. We designed...

    Keywords: data analysisnatural historyphylogenyBiodiversitymammalsAllen's RuleBergmann's Ruleecogeographymuseum research

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    Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation
    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...

    Keywords: graphinghypothesis testingdata scienceData-based inquiry in the classroomglobal healthdata science educationyellow fever

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    2012-Vivek_Patel-Chemical Kinetics
    The book is designed to help the reader, particularly students, researchers, research scholars, scientists, chemists and industry fraternity of chemistry and allied fields; understand the mechanics...

    Keywords: kineticschemistryreaction

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    Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies
    Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae...

    Keywords: data analysismorphologyidigbiosexual dimorphismdata managementImageJsexual selectionnatural history collectionsbutterflycourse-based research experiences (CUREs)digitized natural history collectionsQGISmorphometricsBCEENETgeoreferencing

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    A Potential Novel Ecosystem Service: Seagrass Meadows Reduce Disease in Nearby Corals
    In this lesson, students will receive an introduction to Poisson Generalized Linear Mixed Models in R utilizing data on coral diseases. In their code, students will assess if seagrass status has an...

    Keywords: environmental scienceseagrassecosystemcoral reefsEcosystem Services

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    Aquatic ecology with Diana Hitchen
    Our LWS interview with aquatic ecologist for the Great Basin Institute and Bureau of Land Management, Diana Hitchen.
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    Coyote Habituation and a Scientist Spotlight on Dr. Christopher Schell
    Dr. Christopher Schell is an ecologist who uses a variety of techniques to study mammalian carnivores in urban areas. This scientist spotlight uses graphs from his study on parental habituation to...

    Keywords: conservation ecologyanimal behaviorurban ecologyInterpreting GraphsBLACK SCIENTISTS IN STEMcoyotes

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    Chapter 11: Correlation and regression analyses
    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 10: Two-way analysis of variance
    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....

    Keywords: biostatisticsR programming language

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    Chapter 8: Comparing two means: the t-test
    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....

    Keywords: biostatisticsR programming language

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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....

    Keywords: biostatisticsR 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....

    Keywords: biostatisticsR programming language

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    Chapter 5: Hypothesis testing
    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....

    Keywords: biostatisticsR programming language

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    Chapter 4: Probability distributions
    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....

    Keywords: biostatisticsR programming language

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    Chapter 3: Visualizing data
    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....

    Keywords: biostatisticsR programming language

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    Chapter 1: Introduction to R and RStudio
    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....

    Keywords: biostatisticsR programming language

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    Using genome browsers constructed by G-OnRamp to provide students with a Course-based Undergraduate Research Experience in genome annotation
    G-OnRamp (http://g-onramp.org) provides an easy-to-use web platform for educators to create genome browsers to engage undergraduate students in research projects, both collaborative annotation of...
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    Statistics for Biologists
    There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

    Keywords: statisticsdata analysisexperimental design

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