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    Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics
    Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...

    Keywords: statisticsmathematicsdata analysisdatalinear regressionbiologyonlinegraphinglinear equationsQuantitative reasoningassessmentcollege algebracellstatistical analysisregressionOERAlgebrachemistryModelscorrelationSimple Linear RegressionMicrosoft Excellab activityexperimentCellular ProcessesATPqbccUsing Excelmanipulate equationsCellular and Molecular BiologyConcepts in Statisticsoxidationline of best fitexplaining statisticsusing statisticsCellular RespirationPredictionsRespirationgraphing in ExcelLinear CorrelationExothermic Reactioncreate scatter plotAdenosine Triphosphate (ATP)germinating peasPre-lab activityStudent activityHybridCollecting DataR-squareRegression ModelFunctionDependent VariablesIndependent VariablesLinear EquationLinear Equation in two variablescreate graphcreate equationcreate regressioncreate plotinterpret regressioninterpret data

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    Kinetics of a Highly Conserved Enzyme - Carbonic Anhydrase
    This module contains exercises designed to introduce students to graphical representation of biological data. Students will explore the fundamental principles of enzyme kinetics including...

    Keywords: Excelintroductory biologycell biologygraphingslopeQuantitative reasoningdata visualizationquantitative biologyinterdisciplaryquantitative skillscorrelationenzyme functionInterpreting GraphsMichaelis-Mentenenzyme kineticsEnzyme activityenzyme inhibitionLinear and nonlinear analysisNIQBC2. Data and GraphsC4. mathematical modelsenzyme-substrateNIQB Interdisciplinary Quantitative Reasoningcarbonic anhydrase

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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    Uninhibited Growth of Cells
    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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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.

    Keywords: Querying databasesgraphingRatiosdata typesstatistical learningcorrelationBox Plotsqbcchealth sciences education researchnutrition & food scienceUnderstanding ratesCreate graphsInterpret graphsinterpret tablesHealth ScienceConcepts in Statisticsexplaining statisticsusing statistics

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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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    Using IPAT to Measure Urban Sustainability
    Urban sustainability can be complicated to measure because sustainability means different things to different people. This challenge can be partially overcome through adoption of a guiding...

    Keywords: datasurveyurban ecosystemsUrban sustainability

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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 human impacts on Southeastern US stream ecology using R
    Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction
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    Exploring EnvironmenATL Justice with Data Analytics and Visualization
    Basic data handling and data analysis skills are introduced to visualize and analyze ‘big data.’ Environmental justice is introduced to give students an understanding of tools and strategies to...

    Keywords: social justiceenvironmental justiceatlantaHBCUsCulturally responsive science teachingenvironmental racismenvironmental injustice

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    Hemoglobin cooperativity and adaptations to high altitude living
    This resource accompanies the "How does blood carry oxygen?" chapter in the Integrating Concepts in Biology etext. Students evaluate the cooperativity of hemoglobin and adaptations to high...

    Keywords: Integrating Concepts in Biology

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    Too much of a good thing? Exploring nutrient pollution in streams using bioindicators
    Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize,...
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    Evolutionary Ecophysiology swirl lesson
    Uses swirl to walk students through how to use R and analyze their own data.
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    Large Datasets in R - Plant Phenology & Temperature Data from NEON
    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...

    Keywords: data in the classroomtool:rstudiophenologydata managementNEONtemperature

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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...

    Keywords: linear regressionScatter Plotsclimate changephenologyhypothesis formulationmountainsCaliforniapublic dataCODAP

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    Graphing and mapping patterns of air quality in Los Angeles, California through an environmental justice lens.
    Air quality is an environmental issue that impacts everyone in Los Angeles. This activity presents current popular press articles about air pollution and environmental justice and maps and graphs...
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    Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
    In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...

    Keywords: fishgraphinggraph interpretationhuman-environmental interactionsdata literacysocial justicemarineCODAP

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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    Keywords: data sciencebioinformaticsnext generation sequencingquality controlFASTQgenomicsprogrammingNIBLSElinuxmicrobiomeIllumina sequencingcommand lineFASTQEFASTPNGS analysisterminalMacemojiPhred scoreTrimmingshort read

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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...

    Keywords: modelingdata analysislinear regressiongraphingExponentsoptimizationcalculusInterpreting GraphsFunctionsqbccCellular and Molecular BiologyChoosing modelsUnderstanding ratesConcepts in Statisticsmeasurementsmanipulating equationscreating graphsExponential and Logarithmic Functionsinterpreting tables

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