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