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    A Changing Climate in the Hawaiian Wet Forest: In-Person and Virtual Curriculum for Field Courses at Puʻu Makaʻala NAR
    Curriculum for Puʻu Makaʻala Huakaʻi with the National Ecological Observatory Network (NEON), developed by Teaching Change. This module was created to guide Teaching Change Field Courses at Puʻu...
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    iDigBio Tutorial - BLUE Resource
    A user guide and video instructions for iDigBio
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    Strategic Planning for REU and Research Readiness
    Students complete a personal strategic plan, examining their strengths, vision and mission for completing an REU or research experience.
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    Hypoxia in Coastal Marine Ecosystems (Project Eddie) - Modified
    Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have...
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    Hypoxia in Coastal Marine Ecosystems (Project Eddie)
    Aquatic ecosystems are home to a complex intersection of physical and biological factors and an intersection of natural and anthropogenic factors. In the Chesapeake Bay, low oxygen events have...
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    Drug Discovery through Ethnobotany
    In this lesson, students interpret graphs demonstrating synergy between antibiotics. Then, students view and reflect on an interview with biologist Dr. Cassandra Quave, whose research includes the...
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    Data management and introduction to QGIS and RStudio for spatial analysis
    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...
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    The impact of diversifying and humanizing science role models on student attitudes and interest in science careers
    We introduced diverse and humanized scientist role models into data literacy instruction and quantified changes in student attitudes towards science. We found that the impact of science role models...
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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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