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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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    Tutorial Combination and Assessment
    The tutorial adaptation specifically addresses data types (i.e., numeric versus categorical variables) and the types of graphs that are used to summarize the different data types.

    Keywords: Scientific ProcessStatistics and MathScientific Methodology

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    Plants by the Numbers
    Session presentation on quantitative botanical activities at the 2018 QUBES/BioQUEST Summer Workshop

    Keywords: Simulationsplantsfmnquantitative botanicsflipped labshypothesis driven laboratoriesSummer Workshop 2018

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    Earth Analytics in Python Course
    Earth analytics is an intermediate, 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 scienceearth sciencepythonpermafrostremote sensingfloodsGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Module 4: What Kind of Data Goes in a Field Notebook?
    The goal of this activity is to introduce students to biological field notebooks and how they are used by scientists during field work. Specifically, students will learn what a botanist collecting...

    Keywords: Herbarium digitizationField notebookTimothy Plowman

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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...

    Keywords: data in the classroombiodiversity informaticsnatural history collection

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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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    Graphing grouped continuous data in R with swirl
    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.

    Keywords: biostatisticsR programming languageSwirl

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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonremote sensinggithubversion controldata science educationcomputer programmingwildfireearth analyticsvgeographic information systems

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    NEON data in undergraduate ecology courses: Data skills and learning opportunities
    Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America...

    Keywords: Ecological Society of AmericaNEONNational Ecological Observatory Network

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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

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

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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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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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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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    Sizes, Scales and Specialization: Using Relative Proportions and Scientific Notation to Highlight the Diversity of Cell Types
    This module explores how cell size and shape varies across cell types in the human body by having students calculate relative proportions of numbers in scientific notation.

    Keywords: ExponentsRatiosCellsqbccmanipulate equationsCellular and Molecular BiologyVisual Accommodationsconverting unitschanging scales

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    The Insect Predation Game: Evolving Prey Defenses and Predator Responses
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 4

    Keywords: simulationpredator-preypredation ecology

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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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    Following the Data - PowerPoint Addition to Module
    This PowerPoint presentation guides instructors and students through the key background information for the module.
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    Visualizing Global CO2 Emissions
    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...

    Keywords: data visualizationResource Typeclimate change dataTableau

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    The Insect Predation Game
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 4 The main learning objective of this module was to tie together what students had learned during the...

    Keywords: simulationpredator-preypredation ecology

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