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    Assessing River Herring Migration Using Nonparametric Analysis
    In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...
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    Count me in: Increasing early detection of invasive species with community science
    In this lesson, students interpret a map of species occurrences. Then, students view and reflect on an interview with biologist Dr. Jennifer Dean, whose research includes the map that they...
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    Striped Bass: A Regulatory Success Story
    This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...
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    Exploring Health Inequities and Redlining
    For this assignment, students will investigate relationships between historic redlining data and modern statistics of human health.
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    Mysterious Occurrences: Representation, Resiliency, and Redundancy in Native Plant Populations
    Meet Dr. Rachel Hackett, a conservation plant biologist at the Michigan Natural Features Inventory.  We learn about Rachel's job and the restoration of threatened and endangered species. Rachel...
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    Advances in Genome Sequencing with Nathan Olson
    In this Lunch with a Scientist episode, we discuss Genome Sequencing and Bioinformatics with National Institute of Standards and Technology (NIST) biologist Nate Olson, Ph.D.
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    Drug Discovery through Ethnobotany
    In this lesson, students interpret graphs demonstrating synergy between antibiotics. Then, students view and reflect on an interview with biologist Dr. Cassandra Quave, whose research includes the...
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    Scientist Spotlights and Data Nuggets Workshop Materials (BIOME 2021)
    Materials and resources for the "Scientist Spotlights and Data Nuggets Workshop," presented at the 2021 Biology and Mathematics Educators (BIOME) Institute.
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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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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp
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    iBEARS Poster
    A description of the new NSF INCLUDES iBEARS network including background, project goals, project outcomes, connections to be made through QUBES, and future directions.
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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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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
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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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    Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
    Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...
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    Data Science Replication of Covid-19 Wastewater Tracking
    Students are asked to use data science skills (such as pivot tables and linear regression) to replicate Covid-19 wastewater monitoring data provided by the CDC NWSS (National Wastewater...
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    Introducing Students to Data Science
    Presentation on data science at the 2019 BioQUEST & QUBES Summer Workshop
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    BioGraphI Considerations for Selecting a Potential Interviewee - Google Docs
    This document includes resources and advice to help curriculum developers choose a scientist to interview for the Biologist and Graph Interpretation (BioGraphI) Network. Each interview is featured...
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    BioGraphI FMN Leader Guide (Template version) - Google Docs
    This document contains the leader guide for the Biologist and Graph Interpretation (BioGraphI) Project’s semester-long Faculty Mentoring Network (FMN). FMN leaders use it to organize the FMN, and...
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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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