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    1988-EY_Rodin-N_Taber-Yeast Growth Modelling in a Laboratory
    Modeling simple growth with some missing data and doing linear regression for parameter estimation in closed form solution of differential equation model and data.
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    Slides for Revealing Hidden Figures within Natural History Collections Through Data Sleuthing
    Slides in powerpoint form for the Revealing Hidden Figures within Natural History Collections Through Data Sleuthing workshop

    Keywords: lecture slides

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    Chapter 7: The normal distribution
    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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    Chapter 6: Population proportions and the binomial distribution
    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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    Chapter 5: Hypothesis testing
    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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    Chapter 4: Probability distributions
    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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    Ferns are Everywhere
    Using spatial fern population data in hypothesis testing
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    Faculty Mentoring Networks: Community Professional Development for the Digital Age
    Poster for BioQUEST Summer Workshop 2019 What is an FMN? What is it like to be in one? What are the benefits?

    Keywords: fmn

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    Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
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    Getting students to reason with data: QUBES tools and teaching resources built for introductory biology
    Workshop presented at the 2019 Biology Learning Community Conference
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    Designing undergraduate biology curricula to teach skills and knowledge for data-intensive environmental research
    Poster presented at Ecological Society of America Annual Conference 2017.

    Keywords: data literacy

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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
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    Exploring EnvironmenATL Justice with Data Analytics and Visualization
    Basic data handling and data analysis skills are introduced to visualize and analyze ‘big data.’ Environmental justice is introduced to give students an understanding of tools and strategies to...
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    Atmospheric Carbon Dioxide Data Analysis - Draft (1)
    Students will be able to analyze real data to review basic statistics. Students will be able to work as a group to determine the best way to present their data.
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    NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data-Driven Open Educational Resources
    Poster on the NEON Faculty Mentoring Network presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Investigating human impacts on local Hawaiian stream ecology
    Students learn about stream ecology on the island of Hawaii using data available through USGS and University of Hawaii websites and develop an understanding for potential stream changes due to...
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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    Tools: New tools for new science
    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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