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    REMNet Tutorial, R Part 1: Getting Started in R with Microbiome Data 5.3.19
    Video on the basics of R software from the Research Experiences in Microbiomes 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...
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    Using HHMI Tutorials to Prepare Students for Investigating Authentic Datasets in Biology
    HHMI tutorial modules were modified and condensed to bring all students up to the same skill level, and students took a pre-assessment to demonstrate adequate preparation for class.
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    Taking a Second Look: Investigating Biology with Visual Datasets
    An article exploring the use of visual datasets as an educational aid for biology students.
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    Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data
    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
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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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    Population Demography in Swirl
    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
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    Large Datasets in R - Plant Phenology & Temperature Data from NEON
    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...
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    Examining human impacts on tusk evolution in elephants using authentic research data
    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
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    An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens
    Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop
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    Conducting Biodiversity Science in the 21st Century (Poster)
    A poster summarizing how museum resources can be used for conducting biodiversity science in the 21st century including in research, education and in increasing inclusivity and diversity in STEM.
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    Remote Sensing of Plants and Topography in R (Project EDDIE) for Advanced GIS class
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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    Analysis of Microbiomes Using Free Web-Based Tools in Online and In-Person Undergraduate Science Courses
    Our understanding of microbiomes, or the collection of microorganisms and their genes in a given environment, has been revolutionized by technological and computational advances. However, many...
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    REMNet Tutorial, Excel Part 6: Making Microbiome Column Charts 5.3.19
    Video on creating column charts in Excel from the Research Experiences in Microbiomes Network
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    Calculating and Comparing Biodiversity Materials Across Sites Using NEON Herbaceous Vegetation Data - a Tutorial
    These materials are intended for use at the undergraduate level. They employ R and Excel software.
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    Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course
    Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed...

    Keywords: microbiome

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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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    Using the QUBES platform and NEON faculty mentoring networks to build, adapt, and publish data-driven open educational resources
    This video provides an overview of the NEON Data Education Faculty Mentoring Networks and an example of published QUBES resource implementation in the classroom.

    Keywords: NEON FMN

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    Using the Project Eddie Module “Paleoclimate and Ocean Biogeochemistry” in the Upper-Division Undergraduate Course “Climate and the Earth System”
    Students explore and compare datasets on modern nutrient concentrations and productivity, as well as paleo datasets to try to answer the question: “How does primary productivity influence global...
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