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Resources created by our members and partners.

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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    ELE Calling Bull slides Feb 2024
    These are the slides for a talk given by Dr. Carrie Diaz Eaton about teaching Calling Bull. The talk was hosted by Every Learner Everywhere on February 9, 2024.

    Keywords: RStudioquantitative literacyinformation literacydata literacyScience and societyethicsFigure of the Daycalling bulldata vizracismcritiqueIntersectionalitycolab

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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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    National Ecological Observatory Network: A Data Source For Your Classroom
    Poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.

    Keywords: faculty mentoring networksNEONNational 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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    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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    DIGging Into Data and getting the credit
    Presentation on using and adapting OER data-centric resources

    Keywords: data2019 QUBES/BioQUEST Summer Workshopdata-centric teachingoer life cycle

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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.

    Keywords: metadatadigital datadata skillsBiodiversity Science

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    Machine Learning Meets Medicine with Jenessa Peterson
    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    Keywords: data sciencemachine learningmedicine

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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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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...

    Keywords: quantitative skillsscientific literacyCurriculum developmentdata science skills trainingdata literacy skills

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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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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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    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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    Saving Endangered Species: Zoos, Museums and Biodiversity Data
    Meet Sinlan (Sheila) Poo who works with amphibians at the Memphis Zoo. Learn about Sinlan's research in applied conservation and how they use biodiversity data to study endangered species.

    Keywords: endangered speciesamphibiansBiodiversity data usageApplied ConservationZoo

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    Sorting through the Data
    Meet Thomas McElrath, a insect collection manager at the Illinois Natural History Survey and beetle researcher. Tommy explains the value of data standards while discussing beetles and variations...

    Keywords: data standardssexdata skillsBiodiversity data usage

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    Module M.3 Visualizing data with ggplot2
    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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    Facilitating the implementation and adaptation of data-centric teaching resources by closing gaps in the Open Education Resource (OER) lifecycle
    Presentation on data-centric open educational resources given at the 2019 UBER-GRC

    Keywords: DIGdata-centric teaching

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