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    Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
    In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...
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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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    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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    Visualizing Global CO2 Emissions
    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...
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    Introduction to Data Management, Life History, and Demography
    Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life...
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Exercise 10 [Elevation]
    Supplemental data for ABM
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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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    Too much of a good thing? Exploring nutrient pollution in streams using bioindicators
    Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize,...
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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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    Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment
    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...
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    Mapping Specimen Occurrence Data in QGIS
    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS
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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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    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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    Graphing an Epidemic: West Africa Ebola Epidemic
    In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were...
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    Assessing the Risk of Invasive Species Using Community Science Data
    This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore...
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    Spotting Interactions: Spotted Salamanders, Beneficial Buffers, and Helpful Hydroperiods
    The purpose of this lesson is to help us better understand how we are able to conserve wetland-dependent wildlife. We will be exploring, manipulating, and analyzing data in R using a Poisson...
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    Understanding Action Potential and Frequency Coding using Scientist Spotlight and Data Nuggets
    The main crux of this activity is to integrate three existing frameworks including ideas of the Scientist Spotlight Initiative, build and solidify the quantitative reasoning skills in our students...
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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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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