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    Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
    A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...

    Keywords: statisticsmodelingmodulemorphologysummary statisticsmodulesclimate datamuseumsclimate changeundergraduate educationR programming languageprogrammingelevationnatural history museumsmammalssmall mammals community dynamicsmuseum collectionsVertebrate Morphologyopen educational resourceR programming environment

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    Investigating Evidence for Climate Change (Project EDDIE) with CO2 and 13CO2 data: adapted for R
    This is an adaptation to work in R of Investigating Evidence for Climate Change (Project) by Hage, M. 2020. Students will investigate geologic and modern evidence for global temperature and...

    Keywords: climate changeGlobal Temperature Changeco2ice core datastable isotopesR software

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    The Human Microbiome Biodiversity in Health and Disease
    The students will analyze the human gut and vaginal microbiomes in healthy and diseased states using diversity of bacteria as determined by 16SrRNA sequence.
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    Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...

    Keywords: codingR Markdowndata managementggplot2spreadsheetssmall mammals community dynamicsNEONResource TypeNational Ecological Observatory NetworkR softwaredplyr

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    Passion-Driven Statistics
    E-book in .pdf format and customizable .iba format

    Keywords: statisticstextbook

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    Introduction to R Course
    Free Introduction to R Course at DataCamp

    Keywords: Rdata scienceonline learningcoursefree

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    Multiple choice quiz questions for biostatistics
    A set of 157 multiple choice quiz questions for biostatistics courses, organized and searchable by 18 concepts/skills.

    Keywords: quizbiostatistics - general

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    Introduction to R with Biodiversity Data
    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
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    Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2
    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    Keywords: phylogeneticsundergraduate educationbioinformaticsNCBICOVID19coronavirusMEGAPyMolvirtual labPDBprotein modelingSARSSARS-CoV

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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...

    Keywords: biostatisticsecologybiologyR code

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    An Introduction to the R Programming Environment
    An online module introducing students and biologists to R, published in American Phytopathological Society

    Keywords: epidemiologyRecologyR programming languagebioinformaticsprogrammingplant biologyNIBLSEplant pathology

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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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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    Keywords: data analysisdata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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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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    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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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...

    Keywords: data analysistool:rstudionatural historyplant biologyinvasive plantsherbariumnative plantsdigitized natural history collectionsR code

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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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

    Keywords: simulationmoduleRcourseprojectsolutions

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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...

    Keywords: Rdata analysisdata manipulationRStudioManagement Of DataSwirl

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