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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...
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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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    NEON data in undergraduate ecology courses: Data skills and learning opportunities
    Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America...
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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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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    National Ecological Observatory Network: A Data Source For Your Classroom
    Poster on the National Ecological Observatory Network and using NEON data and resources in your classroom presented at the 2018 QUBES/BioQUEST Summer Workshop
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    National Ecological Observatory Network: A Data Source For Your Classroom
    Poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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    Bio 18: Statistics for Scientific Data Analysis
    Poster on the a data science course presented at the 2019 BioQUEST & QUBES Summer Workshop
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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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    REMNet Tutorial, Excel Part 1: Accessing Your Microbiome Data 5.3.19
    Video on accessing microbiome data from the Research Experiences in Microbiomes Network
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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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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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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    Microbiome Analysis with Oxford Nanopore 16S amplicon sequencing data
    The resource is a brief description of an analysis pipeline for microbiome analysis of Oxford Nanopore 16S amplicon sequence data. We tested the Kraken 2 and Krona pipeline from nanogalaxy with...
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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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