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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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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...
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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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    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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    A CURE in traits and species distributions: Reproductive modes, range sizes, and natural history collections
    This course-based undergraduate research experience (CURE) focuses on developing hypotheses about how traits influence the range sizes of species. Topics with substantive content include symbioses,...
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    Investigating human impacts on stream ecology: locally and nationally
    This is a modification of an original TIEE Module, investigating these questions: How does nutrient pollution impact stream ecosystems locally and nationally? How does land cover change impact...
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    Datasets for Whitlock & Schluter's "The Analysis of Biological Data"
    Link to data sets used in The Analysis of Biological Data . All data are in CSV format.
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    Investigating human impacts on stream ecology: locally and nationally
    How does nutrient pollution impact stream ecosystems locally and nationally?
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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Learn Biological Sciences and Physics through scientific process, creation, experimentation and analysis
    Microbes remain attached and grow on various surfaces whether living or non-living. These surfaces provide differential growth substances for microbes to remain attached or grow. The differential...
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    Pesticide-Driven Bee Mortality: An Introduction to Survival Analysis in R
    In this lesson, students will receive an introduction to survival analysis in R utilizing data on bee mortality caused by pesticide exposure. In their code, students will assess survivability,...
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    Tag You're It: A Lesson Investigating Study Design and Survival Analysis on an American Shad Tagging Study
    In this lesson, students will learn about the various mark-recapture and tagging methods that are used in various scientific disciplines and the information they can gather. Key elements of...
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    Tools: New tools for new science
    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
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    Prairie Eco Services (Project EDDIE)
    As densely populated urban areas continue to expand, human activity is removing much-needed greenspaces from our communities; in turn, we are also removing critical buffers that are needed to...
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    Phylogeny of Land Plants
    In this lab, students review the characteristics of the major land plant lineages. Then they perform phylogenetic analyses based on morphological characters.
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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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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches
    Creating and comparing boosted regression tree models to multiple regression models.
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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
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    Assessing River Herring Migration Using Nonparametric Analysis
    In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...
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