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    Osmosis: Determination of the rate of osmosis and the isotonic concentration
    This module contains exercises designed to help students understand how solute concentrations affect the direction and rate of osmosis. Students are given different scenarios to predict the...

    Keywords: introductory biologyQuantitative reasoninginterdisciplinarycell functionOsmosisNIQBC2. Data and GraphsC4. mathematical modelsC6. Quantitative LanguageC1. NumeracyC5. Logic and Algorithms

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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull

    Keywords: datacalling bullmisinformationBates CollegeSchedule

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    Genome Solver: Complete Set of Lessons
    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating...

    Keywords: bioinformaticsNIBLSEBioinformatics EducationBioinformatics and GenomicsC4. Bioinformatics toolsC5. Data retrievalC6. ModelsC8. Data typesC9. ImplicationsRecommended by NIBLSE

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    Introduction to R Course
    Free Introduction to R Course at DataCamp

    Keywords: Rdata scienceonline learningcoursefree

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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

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

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    The Language of Science
    This part focuses on the language of science

    Keywords: process of sciencelanguageinclusionCOVID19misinformationscicomm

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    Phenology Trends and Climate Change in Minnesota (Project EDDIE): A focus on American elm
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees.
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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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    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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    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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    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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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp

    Keywords: data scienceonline learningcoursepythonfree

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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...

    Keywords: R programming languagecourse-based undergraduate research experienceBioinformatics and GenomicsCURECUREscourse-based research experiences (CUREs)STEM CUREsComparative genomicsBioconductor

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    Curvature and Maximum Permissible Speeds
    In this activity students will compute the curvature of a section of commuter rail and use it to determine a safe speed at which a train should can round the corner without tipping or derailing....

    Keywords: data analysiscalculusnumerical approximationengineeringcalculus 3transportation

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    Biodiversity Conservation in Agriculture
    Biodiversity is decreasing rapidly each year and agriculture is a large contributor. In order to minimize biodiversity loss, we must study how local and landscape management in agriculture impact...

    Keywords: conservationagricultureBiodiversitybiodiversity conservationagricultural conservation

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

    Keywords: statisticstextbook

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    Sustainability Metrics (Project EDDIE)
    In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
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    Sustainability Metrics (Project EDDIE)
    In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
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