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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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    STEM Inclusive Teaching Practices Webinar Series: The Biocultural Labels Initiative
    The Biocultural (BC) Labels initiative is focused on accurate provenance, transparency and integrity in research engagements with Indigenous communities. ...
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    Quantifying and Visualizing Campus Tree Phenology
    Large enrollment courses present a challenge for instructors who want to engage students in authentic science practices that fit the recommendations of Vision & Change. Our lesson provides a...
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    Using Aquatic Macroinvertebrates in Stream Bioassessment
    Bioassessment is an evaluation of the biological condition of a waterbody using biological surveys and other direct measurements of resident living organisms. Aquatic macroinvertebrates are...
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    BIRDD: Galapagos Data Found in Data Dryad
    BIRDD: Galapagos Data Found in Data Dryad

    Keywords: database

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    Assessing Urban Biodiversity With the eBird Citizen Science Project: A Course-Based Undergraduate Research Experience (CURE) Module
    The eBird citizen science module takes advantage of technology tools and online resources developed by the Cornell Laboratory of Ornithology (http://ebird.org) to achieve several learning...
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    Distributed creation, community guidance, and OER development: current models and emerging practices
    Presented at the BioQUEST 2016 Summer Workshop
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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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    Why Do I Need a Lab Notebook? Teaching Responsible Conduct of Research with CURE Lab Notebooks
    There are few instructional tools about data acquisition and management available for undergraduate students. I created this lesson as a Fellow of the Ethics Network for Course-Based Opportunities...
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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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    A Multi-Institutional Alternative Assessment Faculty Learning Community: Supporting Teaching in Higher Education
    Faculty learning communities (FLCs) provide opportunities for professional development for faculty, teaching staff, and educational developers in a collaborative and open environment. In this...
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    DataONE Module 02: Data Sharing
    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.
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    The (STEM)2 Network - Sustainable, Transformative Engagement across a Multi-Institution and Multidisciplinary STEM Network (RCN-UBE Introduction)
    Enhance undergraduate STEM education by promoting new and strengthening existing collaborations among biology, chemistry, and math faculty at 2- and 4-year institutions; and support faculty in...
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    Chapter 3: Visualizing data
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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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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    Data Nuggets Resources
    Search Current Data Nuggets

    Keywords: DataNuggets

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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    What is Data Science - Introduction to Data Science
    Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset...
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    Data Science as a Superpower
    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop
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