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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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    SUSTAINABILITY METRICS AND INDICES
    Sustainability metrics and indices are measures of sustainability, and attempt to quantify beyond the general concept. Though there are disagreements among those from different disciplines (and...
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    Impact of Introduction of American Bullfrogs on Species Diversity
    This module explores the introduction of the American bullfrog on their ecosystem. Using species diversity calculations and data collection techniques, students explore how the bullfrog affected...
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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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    Landscape Indicators:Nutrients and Macroinvertebrates
    Modification of the Investigating Human Impacts on Stream Ecology Module to emphasize landscape indicators and incorporate inclusive practices.
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    Testing hypotheses about the role of wildfire in structuring avian communities
    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...
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    Investigating the effects of urbanization on bird biodiversity: Testing three biodiversity hypotheses using citizen science data
    Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13...
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    Avian Censys Analysis
    This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.
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    NEON Data in the Classroom: Quantifying Spatial Patterns
    Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation 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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    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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