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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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    Biobyte 2 - Exploratory data analysis
    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    Keywords: data sciencedsube

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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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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Speed Data Science
    Data visualization is a foundational data science skill. One way to help students begin to learn about data visualization is to tap in to their innate creative instincts. This activity can be used...
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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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    Interconnections in The Open Ecosystem
    Presentation on open education and open science given as the keynote address at the 2019 BioQUEST & QUBES Summer Workshop
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
    Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Using authentic scientific data to improve quantitative reasoning in ecology and evolutionary biology
    Presentation made by Louise Mead 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...
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    Data Cards Sample Created From Lost Crops of Africa (NRC, 1996, 2006, 2008)
    This resource provides a sample of the data cards that have been used in conference presentations, trainings, and science methods courses over the years. This resource provides supplemental data...
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    Data Ethics
    Data ethics and the use of digital data
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    Following the Data
    The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.
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    Math Skills in Biology Education: A Principles Focused Evaluation (PF-E) of Community College Faculty Needs
    Poster on math skill instruction in community colleges presented at the 2019 BioQUEST & QUBES Summer Workshop
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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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    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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    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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    Winter is Coming! Data Nuggets Module - Adapted for Preservice Elementary Teachers
    Adaptation of Data Nuggets Module Winter is Coming! for an Elementary Education Science Methods Course
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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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