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    Backyard Beetles + Pollinators for a non-lab course on biodiversity conservation
    Backyard Beetles + Pollinators is a project to observe and evaluate plant-pollinator networks. This adaptation modifies the (adapted) modules for a non-lab course on conservation, conducted during...
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    Adaptation of Plants in the Human-Altered Environment (PHAE) for a non-lab course on biodiversity conservation
    PHAE is a project to compare effects of landscape alteration intensities on plant biomass and diversity. This adaptation modifies the (adapted) modules for a non-lab course on conservation,...
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    Remote Sensing of Plants and Topography in R (Project EDDIE)
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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    Calculating and Comparing Biodiversity Materials Across Sites Using NEON Herbaceous Vegetation Data - a Tutorial
    These materials are intended for use at the undergraduate level. They employ R and Excel software.
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    STEM Inclusive Teaching Practices Webinar Series: Socially Relevant Teaching in the Time of COVID-19
    Presents various mathematical modeling and data science activities created around analyzing and interpreting COVID-19 data. Much of the instructional guidance provided for the activities and...
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    An Adaptation of "Plants in the Human-Altered Environment (PHAE)" for 100% Remote Learning at East Stroudsburg University
    PHAE is a project to compare effects of landscape alteration intensities on plant diversity. This adaptation modified and extends the modules to suit fully remote learning (data collected...
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    Plants We Eat: Learning Form and Function from Fruits and Vegetables
    This high school or undergraduate lab consists of four activities that guide students through learning about plant parts from the fruits and vegetables with which they are already familiar....
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    CyVerse: Scalable Image Informatics
    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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    Pivoting Intro from Inquiry to Online
    This poster will present how inquiry-based learning experiences that were designed for face-to-face labs can be modified in a rapid pivot to online teaching.
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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    Diving into Deep Sea Data
    A module that combines NOAA's Okeanos Explorer and the iDigBio Portal to explore the deep sea!
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    Searching for disability as biodiversity in digitized natural history collections
    This module uses digitized natural history and biodiversity collections to explore if, how, and whether disability can be studied in nonhumans as a form of biodiversity.
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    Transpiration- Adapted for online
    In this adaptation, the lab is completed remotely.
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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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    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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    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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    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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    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 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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    adaptations