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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    1999-Lomen-Lovelock-Data Sets from text Differential Equations Graphics-Models-Data
    Data selected by field is presented, e.g., chemistry, electricity, growth, motion, population, miscellaneous.

    Keywords: dataEstimate

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    Keep It Shrimple: An Adaptable Student-Driven Research Project for the Introductory Biology Laboratory
    A challenge in introductory biology laboratory courses is to provide students with authentic, engaging research opportunities that allow them to take ownership of their experiments. We present a...
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    Coloring and Keying Great Lakes Trees
    In this set of activities, you will use the Michigan Trees Coloring book to learn and practice plant identification. You will also simulate some of the steps of specimen preparation by keying an d...
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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...
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    Evaluating Representation in Science Through a Peer-Reviewed Research Study
    The demographic representation of scientists featured in biology curricular materials do not match that of the undergraduate biology student population or of the U.S. population. In this lesson, we...
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    Serenity now! Keep calm and do science with real data in the classroom
    Presentation on a free web application currently under development on QUBES called Serenity at the 5th Life Discovery Conference
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    Consumable Science – Teaching Students to Translate Science for the General Public
    Poster about assignments with an emphasis on non-technical writing for a general audience. Presented at the 2021 BIOME Institute.
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    More In Depth Spreadsheet Management Adaptation of Data Management using NEON Small Mammal Data
    This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in...
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    NEON_PDSI
    Users access and manipulate drought data and visualize these data to learn about historical drought patterns.
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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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    Bad Science: Exploring the unethical research behind a putative memory supplement
    As members of society, students must be able to evaluate scientific claims across a wide variety of media to make sound decisions about health and wellness. However, students - and most members of...
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    A 360˚ View of COVID-19
    In March 2020, institutions underwent a massive transition to distance learning as a result of the COVID-19 pandemic. With so little time to devise new materials to maximize learning in the new...
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    A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics
    Rapid advances in genomics and bioinformatics, the vast amount of data generated by next-generation sequencing, and the penetration of the ‘-omics’ into many areas of biology have created a need...
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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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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    Using Bioinformatics to Understand Genetic Diseases: A Practical Guide
    This Practical Guide outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases.
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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Section 5.5 [Elevation]
    Elevation data input file for Section 5.5 (tab-separated plain text).
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    Earth Analytics in Python Course
    Earth analytics is an intermediate, 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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