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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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    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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    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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    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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    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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    Natural Hazards and Risks: Hurricanes
    Making the difficult decision to evacuate before a hurricane makes landfall can save lives and property. This two week module explores how hurricanes connect the ocean-atmosphere-terrestrial...
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    Using Survey123 to Map Physical Habitat Characteristics, Watershed Activities, and Disturbances
    In this lesson, students are introduced to the idea and practice of “remote sensing” and provided with hands-on, field-based experience using standardized stream habitat assessment protocols (the...
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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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    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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    Remote Sensing of Plants and Topography in R (Project EDDIE) for Advanced GIS class
    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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    Ethics in ecological forecasting: four case-based teaching modules
    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...
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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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    Quantitative Reasoning Heatmap Assessment - Google Docs
    This tool for formative assessment provides a mostly anonymous way for students to consider their confidence with a variety of skills related to quantitative reasoning in biology. The product of...
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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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    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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    Comparative Landscape Ecology Project using RStudio Cloud (Project EDDIE)
    This modified version incorporates the use of RStudio Cloud for easier remote instruction, and culminates in an exploratory project comparing the influence of patch metrics on vegetation health for...
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