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    High technology to measure forest carbon stocks: How can advanced remote sensing improve biomass quantification in the Brazilian Amazon?
    A case study on the estimation of aboveground biomass using advanced remote sensors (LiDAR and hyperspectral) in the Brazilian Amazon. Students explore remote sensing (RS) data and compare RS-based...

    Keywords: climate changeremote sensinghyperspectraltropical forestsLiDAR data analysiscarbon stocks

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    Connecting Students to Citizen Science and Curated Collections
    This educational module utilizes the traditional plant collection experience to engage students with biodiversity data protocols and resources available in our information-rich digital age.

    Keywords: Biodiversityplantsnatural history collectionherbarium

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    Exploring Species Interactions with "Snapshot Serengeti"
    Authentic learning experiences are a valuable way for students to gain an in-depth understanding of the scientific process. However, implementing such experiences in large enrollment courses can be...

    Keywords: ecologyspecies interactionscitizen scienceCommunity Ecologyanimal behaviorScience Communicationmigrationanimal activityspecies distribution

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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    Spatial Analysis with QGIS
    Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.

    Keywords: natural history collectionsspecies distributionscourse-based research experiences (CUREs)spatial analysisdigitized natural history collectionsQGIS

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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.

    Keywords: RStudiodata visualizationSwirl

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    Tools: New tools for new science
    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

    Keywords: modelingdata analysisdatacomputational toolsdata visualization

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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...

    Keywords: NEONNational Ecological Observatory Network

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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...

    Keywords: NEONNational Ecological Observatory Network

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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...

    Keywords: NEONNational Ecological Observatory Network

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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...

    Keywords: NEONNational Ecological Observatory Network

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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...

    Keywords: graphingRStudioclimate change datatidyverseWorking with datasets

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    Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
    Resource from the 2015 BioQUEST Summer Workshop
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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.

    Keywords: data analysisdata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Biobyte 2 - Exploratory data analysis
    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    Keywords: data sciencedsube

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    The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior. Introduction to data visualization.
    Students investigate the role of olfaction and infochemicals on bird foraging behavior.. In this module students learn to analyze and present graphic data in ways that simplify interpretation.

    Keywords: Resources @ ESA - TIEEforagingdata visualizationCommunity Ecologyfmnbehavioral ecologyDIGtrophic cascadesAntarctic foodd webs

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    Working with spreadsheet-style data in Python with pandas and seaborn
    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    Keywords: datapythonopenSpreadsheetbicylepandasseabornmatplotlib

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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...

    Keywords: data analysisscientific methodphysicshands-onScientific InquirymicrobesBiological SciencesSpectrophotometer

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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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    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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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