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    Using Linear Regression to Explore Environmental Factors Affecting Vector-borne Diseases
    In this activity students will use linear regression to analyze real data on vector-borne diseases and explore how environmental factors such as climate change or population density influence the...

    Keywords: ecologygraphingmicrobiologyqbccUnderstanding ratesCreate graphsInterpret graphsinterpret tablesConcepts in Statistics

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    Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches
    Creating and comparing boosted regression tree models to multiple regression models.
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    Global Temperature Change in the 21st Century: An Introduction to Global Climate Models and Graphing in Excel (Adapted for Non-Majors)
    Students link human behavior in various climate change scenarios to predicted temperature outcomes at both local (their assigned Latitude) and global (Latitudinal trends) scales. This adaptation is...

    Keywords: ExcelResources @ ESA - TIEEecology labclimate changeenvironmental scienceglobal changehuman-environmental interactionsSimple Linear Regressionhuman impactsinclusive pedagogy-FMN

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    Aquatic Nutrient Levels and Climate Change
    This learning module was designed to introduce students to the aquatic nutrients nitrogen and phosphorus, their roles in ecosystem function and nutrient pollution, and what impacts climate change...

    Keywords: climate changenitrogenwater resourcesfreshwater systemsEutrophicationwater qualitynutrient pollutionphosphorusdischargeTMDL

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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...

    Keywords: regressionfisheriesmonitoringrecruitmentstriped bassmoratoriumfish biologyfisheries ecologyspawninganadromousyoung of the yearrelative abundancechesapeake bayfish population

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    The ml4bio Workshop: Machine Learning Literacy for Biologists
    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

    Keywords: bioinformaticsmachine learning

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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...

    Keywords: aquatic macroinvertebratesCommunity Ecologyspecies diversityGeographic Information System (GIS)spatial analysisJames River

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    Cardiac Output
    This module introduces Fick's principle in the context of understanding the cardiac output. It is intended for an introductory biology audience.

    Keywords: linear regressionproportionslinear equationsOpenStaxAnimal Physiology

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    Translocation of Nutrients in the Phloem: Dixon's Paradox
    This module introduces the Dixon equation in the context of understanding nutrient transport through sieve tubes. It is intended for an introductory biology audience.

    Keywords: plant physiologylinear regressionlinear equations

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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.

    Keywords: ecologyregressionaverageserror estimates

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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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    Investigating Determinants of Richness in Ephemeral and Permanent Wetlands Using Linear Models in Shiny
    This resource seeks to provide a quantitative platform by which students can be taught about interactive effects using the TIEE module created by Little (2018). Key to the adaptation is the use of...

    Keywords: aquatic macroinvertebrateslinear regressionhypothesis testingshinywetlands

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    Islands as a Tool for Teaching Ecology and Evolution
    Module for Ecology & Evolution course covering island biogeography principles, The scientific process and hypothesis testing, statistical methods (t-tests, regression), and online database use...

    Keywords: moduleResources @ AIM-UP!species richnessBiodiversityIsland biogeographyAIM-UP

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    Doubling Time of Tumors
    This module introduces the calculation of potential doubling time of tumorous cells in the context of understanding the growth of a population of the cells. It is intended for an introductory...

    Keywords: linear regressionRatiosCell StructureOpenStaxCell Growth

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    Amino Acid Frequency
    This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.

    Keywords: Probabilitylinear regressionamino acidsOpenStaxGenetic InformationAminoAmino Acid Freuency

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    Permeability of Molecules
    This module introduces Overton's Rule in the context of understanding the permeability of molecules across the cell membrane. It is intended for an introductory biology audience.

    Keywords: linear regressionPermeabilityCell StructureCell MembraneOpenStaxphospholipid membranelog-log plotsOverton's rule

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    Computational Biology using R
    This is an introductory level course on computational biology.

    Keywords: simulationmoduleRcourseprojectsolutions

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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.

    Keywords: modulelinear regressioncase studyclimate datamoving averagesin-class activity

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    Data from: Advancing population ecology with integral projection models: a practical guide
    Review important resources for building IPMs and provide a comprehensive guide, with extensive R code, for their construction.

    Keywords: IPMintegral projection modelsdemographyelasticitylife historymatrix projection modelpopulation growth ratepopulation projection modelsensitivitystage structurevital ratesResources @ DryadResources @ QUBES - Data

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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.

    Keywords: linear regressiontextbookclassificationcourseclustering coefficientR programming languagestatistical learningmachine learninglogistic regressionresamplingmodel selectionGeneralized additive modelsdecision treesprincipal components analysisMOOCResources @ QUBES - Teaching & Reference

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