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The QUBES platform hosts hundreds of teaching materials, reference materials, and cloud-based software free to use and adapt using open Creative Commons licenses.

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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network

    Keywords: growth mindsetVideoMicrobiology EducationR programming languagemicrobiomesmath attitudesResources @ BIOMAAPmistakesvalue of mistakesresearch in the classroomREMNeturban microbiomes

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    REMNet Tutorial, R Part 1: Getting Started in R with Microbiome Data 5.3.19
    Video on the basics of R software from the Research Experiences in Microbiomes Network

    Keywords: VideoMicrobiology EducationR programming languagemicrobiomesresearch in the classroomREMNeturban microbiomes

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    Phenology Trends and Climate Change in Minnesota (Project EDDIE)
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own...
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    Genome Hunters: A Quantitative Biology Course-Based Undergraduate Research Experience (CURE)
    Poster outlining the process of designing, implementing, and assessing a new quantitative biology CURE course series. Presented at the 2021 BIOME Institute.

    Keywords: quantitative biologycourse-based undergraduate research experienceCURE2021 BIOME

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    Interactive, online modules to enhance quantitative skills in biology students
    Session presentation on the need for enhancing quantitative proficiency through a series of interactive, web‐based modules at the 2018 QUBES/BioQUEST Summer Workshop

    Keywords: modulesquantitative skillsMathBenchSummer Workshop 2018

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    Understanding the Quantitative and Computational Skills of Incoming Biology Students
    Presentation given as part of a Minisymposium at BEER 2015.

    Keywords: assessmentBioSQuaRE

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    Getting students to reason with data: QUBES tools and teaching resources built for introductory biology
    Workshop presented at the 2019 Biology Learning Community Conference

    Keywords: QUBESdataintroductory biologydata in the classroomQuantitative reasoning

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    A first lesson in mathematical modeling for biologists: Rocs
    Using a fictitious population of Rocs, a mythical species of giant raptor, students accomplish two broad objectives: 1) they undertake the process of building a first mathematical model of a...

    Keywords: population ecologypopulation modelingdiscrete generationpopulation management

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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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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationdcomputer programmingwildfireearth analytics

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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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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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    QUBES: Building a community to promote undergraduate quantitative biology education
    QUBES is designed to improve communication among educators, assist faculty in understanding and implementing novel content and teaching strategies in their classrooms, and create an academic reward...

    Keywords: QUBES

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    2015 Quantitative Biology Education Summit
    Abstract for a meeting, 2015 Quantitative Biology Education Summit.

    Keywords: meetingQUBESRCNquantitative biologyData In Inquiryworkshop

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    Developing Quantitative Skills Using HHMI BioInteractive Resources
    A workshop on using HHMI BioInteractive data activities to teach science content and quantitative skills

    Keywords: HHMI BioInteractive

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    Quantitative Reasoning Learning Progression
    Three articles about the work of a project on quantitative reasoning in the context of environmental literacy.

    Keywords: quantitative

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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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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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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality

    Keywords: biostatisticsR programming languageSwirl

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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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