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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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    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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    Biobyte 4 - The role of data science principles and practices in undergraduate biology
    This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources,...

    Keywords: biostatisticsstatistical analysisavian malariaSummer Workshop 2018

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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...

    Keywords: data sciencespatial justicedata integrity

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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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    The Potential of Natural History Collections in Educating the 21st Century Scientist and Citizen
    Presentation at the 5th Life Discovery Conference on natural history collections

    Keywords: natural historynatural history collections5th Life Discovery Conference

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    Cookbook for R
    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

    Keywords: Rdata analysisdata manipulationdata

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    Changes in Lake Ice: Ecosystem Response to Global Change
    Data Set included in included in Teaching Issues and Experiments in Ecology (TIEE) Volume 3

    Keywords: data analysisResources @ ESA - TIEEassessmentWorksheetlimnologyaquaticlake

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    Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub
    Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub was presented at the annual meeting of the Association of College & University Biology Educators in 2016.

    Keywords: data in the classroomDryadLab

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    Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps
    Organized Oral Session at the Ecological Society of America annual meeting, August 8th, 2017 Portland Oregon.

    Keywords: Ecological Society of America

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    DataNuggets Resources
    DataNuggets Resources

    Keywords: DataNuggets

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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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    Building Biodiversity Datasets for Invasive Species
    A module guiding students through the process of mapping biodiversity data and building a biodiversity dataset to study the spread and impacts of the invasive aquatic plant species, European...

    Keywords: Management Of Datanatural historyField researchconservation ecologyAquatic invasive speciesbiodiversity informatics

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    Natural history collections data and Biodiversity Literacy in Undergraduate Education (BLUE)
    Presentation made by Elizabeth Ellwood et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of...

    Keywords: Ecological Society of America

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    1-125-DiceyPopulation-ModelingScenario
    We offer students an opportunity to generate data for their team on a death and immigration model using 12 and 20 sided dice and then pass on the data to another student team for analysis with a...

    Keywords: simulationimmigrationdeathdice

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    1-101-ClassMMDeathImmigration-ModelingScenario
    We offer students an opportunity to generate unique data for their team on a death and immigration model using m&m's and then pass on the data to another student team for analysis with a model they...

    Keywords: simulationimmigrationdata collectiondeath

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    1-111-SpreadOfInformation-ModelingScenario
    Students perform experiments to model spread of information within a population. Students collect data, determine essential components and parameters and build a mathematical model culminating with...

    Keywords: datalogisticracismprejudicemisinformationmemesspreaddisinformationinformationliesGoogle Trendscoinspennies

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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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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.

    Keywords: databasesdata in the classroomundergraduate researchdigital collectionscourse-based research experiences (CUREs)biodiversity collections

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