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    Grappling with Graphs: New tools for improving graphing practices among biology students
    Poster on gathering information about undergraduate biology students' graphing practices and using this information to guide teaching of graph construction. Presented at the 2021 BIOME Institute.

    Keywords: educationbiologygraphinggraphsundergraduate biology education2021 BIOMEgraph

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    Graphing Techniques for Introductory Microbiology
    This module will introduce the introductory microbiology students to graphing skills to visualize and interpret the data to investigate the effect of environmental factor (temperature) on bacterial...

    Keywords: data analysisgraphinggraph interpretationdata interpretationmicrobiologySTEM educationtemperaturegroup workBEDENet FMNbacterial growth

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    Home sweet home for warblers: Graphing and Analysis using R
    This resource expands on the Data Nugget "Trees and bushes, Home Sweet Home for Warblers". The analyses and graphing is done in R and there are questions that ask about the management implications.

    Keywords: graphingCommunity Ecologydata interpretationR software

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    Big Data, Graphs, and Prediction
    In this activity, students are introduced to graphing and modeling data in a step-wise fashion. Real data of covid-19 deaths over time are used to incrementally ask students to fit the data to...

    Keywords: epidemiologygraphingLogarithmsexponential growthqbcccovidChoosing modelsCreate graphsInterpret graphsConcepts in Statistics

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    Analysis of Amylase Activity
    This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme...

    Keywords: data analysisintroductory biologyconcentrationgraphinglinear equationsBiochemistryscientific methodstandard curveenzyme functionMicrosoft ExcelInterpreting GraphsenzymesqbccCreate graphsInterpret graphsSolving Equations and Inequalitiesinterpret tablesAmylaseAlpha-amylaseEnzyme activityMaltoseDNS assayAbsorbancelab reportspectrophotometryregression linemanipulating equationsline of best fitgraphing by hand

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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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    Math and Stats in the Biology Classroom with HHMI BioInteractive
    Conquer basic math and statistics used in biology while exploring classroom-ready resources. Concepts include central tendency and variation, spreadsheet skills, graphing, and data analysis with...

    Keywords: HHMI BioInteractive

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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.

    Keywords: biostatisticsR programming languageSwirl

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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    Keywords: graphingdata visualizationR programming languagedescriptive statisticsundergraduate environmental science

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    Expanded Graphing Tutorial
    The tutorial has two approaches for teaching about graph building and choosing the appropriate graph for different data types, a scaffolding approach and a exploration approach which can be...

    Keywords: Scientific ProcessStatistics and MathScientific MethodologyHigh School

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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...

    Keywords: graphingRStudioclimate change datatidyverseWorking with datasets

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    Biomes lecture with active learning activities and a worksheet set
    Learning Objectives: *Identify the characteristics of each biome *Know the major drivers of global climate patterns *Discern how 2 factors largely determine terrestrial biomes *Evaluate the...

    Keywords: lecture slidesgraphsglobal warmingclimatebiomesConvergent Evolution

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    Why Cells Change Weight: Demonstrating Linear Regression Through an Osmosis Experiment
    In this activity, students will perform an experiment utilizing dialysis tubing to create cellular models to demonstrate the linear relationship between cell weight and time in varying tonicities....

    Keywords: graphingqbccCellular and Molecular BiologyInterpret graphsConcepts in Statistics

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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    Keywords: geneticsstatisticsdata analysisgraphingRStudioVideoexperimental designR programming languagemicrobiomesstudent researchinterdisciplinary educationlimnologyeco-informaticsresearch in the classroomtidyverseWorking with datasetsREMNet

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    SUMS4Bio - Video tutorials in math and stats for biology students
    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology

    Keywords: Probabilitystatisticsmathematicsvideoschi-squaredExcelBar Graphsline graphsScatter Plotsp-valuest-testsExponentsLogarithmsproportionsRatiosbinomialdata typessummary statisticsfrequency histogramsResources @ SUMS4BioPresentation

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    Teaching Notes for Implementation of Gene Expression in Stem Cells
    Teaching notes for implementing Data Nugget: Gene Expression in Stem Cells in a introductory biology lab.

    Keywords: Resources @ Data Nuggetsteaching notes

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    Graphing bacterial growth rates: semi-log graphs v linear graphs
    In this activity, students will explore the concept of binary fission, generation time, and bacterial growth curves, with an emphasis on the log phase. Students will use semi-log graphs and linear...

    Keywords: graphingexponential growthMicrobiology Educationmicrobiologybacteriagrowth rateUndergraduate STEM educationCommunity College Educationqbccmanipulate equationsCellular and Molecular BiologyCreate graphsInterpret graphsbinary fissionsemi-log graphlinear graphgrowth curvecreating graphsExponential and Logarithmic Functions

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    Graphing an Epidemic: West Africa Ebola Epidemic
    In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were...

    Keywords: epidemiologyepidemicsEbola

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    Modifying HHMI Anole Resources: Using Image J to Quantify Ecomorphs and Tree-thinking to Explore Evolutionary Hypotheses
    I recombined the HHMI resources to have the students perform the image analysis from Virtual Lab 1 in Image J and explore the evolutionary principles in the Lizard Phenology modules

    Keywords: Evolutionorganismal biologytool:imagejSpeciationTree thinkingDNAphylogeny and classification

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