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    Supplemental Materials for Beagle Investigations Return with Darwinian Data Manuscript
    Supplement 1 contains an example laboratory exercise for introducing the BIRDD resources. Supplement 2 contains a list of web accessible data resources to supplement the existing BIRDD resources.
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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 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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    Exploring Data with BISON
    A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.
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    REMNet Tutorial, Excel Part 2: Understanding Your Microbiome “Data Summary” Document 4.25.19
    Video on understanding microbiome data from the Research Experiences in Microbiomes Network
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    Morphological, Anatomical and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological, anatomical and molecular data, and compare.
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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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    Using primary literature to teach data literacy
    Presentation by Bridget Conneely made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of American...
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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...
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    Machine Learning Meets Medicine with Jenessa Peterson
    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...
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    2019 EDSIN Conference Proceedings
    Bringing Conversations on Diversity and Inclusion in Data Science to the Ecological and Environmental Sciences, was a 3-day conference hosted at the UCAR's Center Green in Boulder, Colorado, April...
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    Analyzing current and past climate data (Project EDDIE)
    Students analyze current and past temperature and CO2 data to relate current climate change to climate of the past 450,000 years. Objectives: Are global temperatures and CO2 levels rising? How...
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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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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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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    Biobyte 4 - The role of data science principles and practices in undergraduate biology
    This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources,...
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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...
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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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    The Potential of Natural History Collections in Educating the 21st Century Scientist and Citizen
    Presentation at the 5th Life Discovery Conference on natural history collections
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