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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...
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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...
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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...
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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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    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...
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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.
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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...
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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.
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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.
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    Creating a Deeper Understanding of Big Geospatial Data, Volunteered Geographic Information (VGI), and Community Science using Project Eddie Modules
    This module uses the Project Eddie Module Assessing the Risk of Invasive Species Using Community Science Data developed by Heard, M. J. (2023) to create a deeper understanding of big geospatial...
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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.
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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
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    Scientists Offering Solutions through Sprints
    Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...
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    Building open education ecosystems to facilitate the adoption and adaptation of computational and data-centric tools across undergraduate biology education
    The OEE-RCN is an NSF-funded Research Coordination Network working at the intersection of Open Science and Open Education Resources (OER) with the goal of lowering barriers to adopting...
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    Resource list for inclusive teaching in STEM (HHMI)
    A resource collection created for HHMI BioInteractive to guide the development of teaching resources aligned with principles of equity and inclusion.
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    How to Create a Pollinator Project on iNaturalist
    Community science, also known as citizen science, allows any person to participate in scientific research. It breaks down the traditional barriers between scientists and the public, allowing anyone...
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    DIGging Into Data and getting the credit
    Presentation on using and adapting OER data-centric resources
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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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